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Sample records for algorithm visualization technology

  1. Algorithm Visualization in Teaching Practice

    ERIC Educational Resources Information Center

    Törley, Gábor

    2014-01-01

    This paper presents the history of algorithm visualization (AV), highlighting teaching-methodology aspects. A combined, two-group pedagogical experiment will be presented as well, which measured the efficiency and the impact on the abstract thinking of AV. According to the results, students, who learned with AV, performed better in the experiment.

  2. Hypermedia and visual technology

    NASA Technical Reports Server (NTRS)

    Walker, Lloyd

    1990-01-01

    Applications of a codified professional practice that uses visual representations of the thoughts and ideas of a working group are reported in order to improve productivity, problem solving, and innovation. This visual technology process was developed under the auspices of General Foods as part of a multi-year study. The study resulted in the validation of this professional service as a way to use art and design to facilitate productivity and innovation and to define new opportunities. It was also used by NASA for planning Lunar/Mars exploration and by other companies for general business and advanced strategic planning, developing new product concepts, and litigation support. General Foods has continued to use the service for packaging innovation studies.

  3. Effects of visualization on algorithm comprehension

    NASA Astrophysics Data System (ADS)

    Mulvey, Matthew

    Computer science students are expected to learn and apply a variety of core algorithms which are an essential part of the field. Any one of these algorithms by itself is not necessarily extremely complex, but remembering the large variety of algorithms and the differences between them is challenging. To address this challenge, we present a novel algorithm visualization tool designed to enhance students understanding of Dijkstra's algorithm by allowing them to discover the rules of the algorithm for themselves. It is hoped that a deeper understanding of the algorithm will help students correctly select, adapt and apply the appropriate algorithm when presented with a problem to solve, and that what is learned here will be applicable to the design of other visualization tools designed to teach different algorithms. Our visualization tool is currently in the prototype stage, and this thesis will discuss the pedagogical approach that informs its design, as well as the results of some initial usability testing. Finally, to clarify the direction for further development of the tool, four different variations of the prototype were implemented, and the instructional effectiveness of each was assessed by having a small sample participants use the different versions of the prototype and then take a quiz to assess their comprehension of the algorithm.

  4. Visualizing output for a data learning algorithm

    NASA Astrophysics Data System (ADS)

    Carson, Daniel; Graham, James; Ternovskiy, Igor

    2016-05-01

    This paper details the process we went through to visualize the output for our data learning algorithm. We have been developing a hierarchical self-structuring learning algorithm based around the general principles of the LaRue model. One example of a proposed application of this algorithm would be traffic analysis, chosen because it is conceptually easy to follow and there is a significant amount of already existing data and related research material with which to work with. While we choose the tracking of vehicles for our initial approach, it is by no means the only target of our algorithm. Flexibility is the end goal, however, we still need somewhere to start. To that end, this paper details our creation of the visualization GUI for our algorithm, the features we included and the initial results we obtained from our algorithm running a few of the traffic based scenarios we designed.

  5. Algorithm Visualization: The State of the Field

    ERIC Educational Resources Information Center

    Shaffer, Clifford A.; Cooper, Matthew L.; Alon, Alexander Joel D.; Akbar, Monika; Stewart, Michael; Ponce, Sean; Edwards, Stephen H.

    2010-01-01

    We present findings regarding the state of the field of Algorithm Visualization (AV) based on our analysis of a collection of over 500 AVs. We examine how AVs are distributed among topics, who created them and when, their overall quality, and how they are disseminated. There does exist a cadre of good AVs and active developers. Unfortunately, we…

  6. Photonic technologies for visual implants

    NASA Astrophysics Data System (ADS)

    Buss, Ruediger; Praemassing, F.; Puettjer, D.; Stawski, N.; Jaeger, Dieter

    2003-02-01

    In this paper two applications of photonic technologies for visual implants in the field of medicine are presented. Both are technical systems working as vision aid for people suffering from blindness due to damages in their visual system. The first system is a retinal implant (RI), the second an intraocular vision aid (IoVA) for people with opaque cornea.

  7. Visual Analytics Technology Transition Progress

    SciTech Connect

    Scholtz, Jean; Cook, Kristin A.; Whiting, Mark A.; Lemon, Douglas K.; Greenblatt, Howard

    2009-09-23

    The authors provide a description of the transition process for visual analytic tools and contrast this with the transition process for more traditional software tools. This paper takes this into account and describes a user-oriented approach to technology transition including a discussion of key factors that should be considered and adapted to each situation. The progress made in transitioning visual analytic tools in the past five years is described and the challenges that remain are enumerated.

  8. Learning sorting algorithms through visualization construction

    NASA Astrophysics Data System (ADS)

    Cetin, Ibrahim; Andrews-Larson, Christine

    2016-01-01

    Recent increased interest in computational thinking poses an important question to researchers: What are the best ways to teach fundamental computing concepts to students? Visualization is suggested as one way of supporting student learning. This mixed-method study aimed to (i) examine the effect of instruction in which students constructed visualizations on students' programming achievement and students' attitudes toward computer programming, and (ii) explore how this kind of instruction supports students' learning according to their self-reported experiences in the course. The study was conducted with 58 pre-service teachers who were enrolled in their second programming class. They expect to teach information technology and computing-related courses at the primary and secondary levels. An embedded experimental model was utilized as a research design. Students in the experimental group were given instruction that required students to construct visualizations related to sorting, whereas students in the control group viewed pre-made visualizations. After the instructional intervention, eight students from each group were selected for semi-structured interviews. The results showed that the intervention based on visualization construction resulted in significantly better acquisition of sorting concepts. However, there was no significant difference between the groups with respect to students' attitudes toward computer programming. Qualitative data analysis indicated that students in the experimental group constructed necessary abstractions through their engagement in visualization construction activities. The authors of this study argue that the students' active engagement in the visualization construction activities explains only one side of students' success. The other side can be explained through the instructional approach, constructionism in this case, used to design instruction. The conclusions and implications of this study can be used by researchers and

  9. Designing, Visualizing, and Discussing Algorithms within a CS 1 Studio Experience: An Empirical Study

    ERIC Educational Resources Information Center

    Hundhausen, Christopher D.; Brown, Jonathan L.

    2008-01-01

    Within the context of an introductory CS1 unit on algorithmic problem-solving, we are exploring the pedagogical value of a novel active learning activity--the "studio experience"--that actively engages learners with algorithm visualization technology. In a studio experience, student pairs are tasked with (a) developing a solution to an algorithm…

  10. Data Mining Technologies Inspired from Visual Principle

    NASA Astrophysics Data System (ADS)

    Xu, Zongben

    In this talk we review the recent work done by our group on data mining (DM) technologies deduced from simulating visual principle. Through viewing a DM problem as a cognition problems and treading a data set as an image with each light point located at a datum position, we developed a series of high efficient algorithms for clustering, classification and regression via mimicking visual principles. In pattern recognition, human eyes seem to possess a singular aptitude to group objects and find important structure in an efficient way. Thus, a DM algorithm simulating visual system may solve some basic problems in DM research. From this point of view, we proposed a new approach for data clustering by modeling the blurring effect of lateral retinal interconnections based on scale space theory. In this approach, as the data image blurs, smaller light blobs merge into large ones until the whole image becomes one light blob at a low enough level of resolution. By identifying each blob with a cluster, the blurring process then generates a family of clustering along the hierarchy. The proposed approach provides unique solutions to many long standing problems, such as the cluster validity and the sensitivity to initialization problems, in clustering. We extended such an approach to classification and regression problems, through combatively employing the Weber's law in physiology and the cell response classification facts. The resultant classification and regression algorithms are proven to be very efficient and solve the problems of model selection and applicability to huge size of data set in DM technologies. We finally applied the similar idea to the difficult parameter setting problem in support vector machine (SVM). Viewing the parameter setting problem as a recognition problem of choosing a visual scale at which the global and local structures of a data set can be preserved, and the difference between the two structures be maximized in the feature space, we derived a

  11. Algorithm Visualization System for Teaching Spatial Data Algorithms

    ERIC Educational Resources Information Center

    Nikander, Jussi; Helminen, Juha; Korhonen, Ari

    2010-01-01

    TRAKLA2 is a web-based learning environment for data structures and algorithms. The system delivers automatically assessed algorithm simulation exercises that are solved using a graphical user interface. In this work, we introduce a novel learning environment for spatial data algorithms, SDA-TRAKLA2, which has been implemented on top of the…

  12. The Study of Randomized Visual Saliency Detection Algorithm

    PubMed Central

    Xu, Weihong; Kuang, Fangjun; Gao, Shangbing

    2013-01-01

    Image segmentation process for high quality visual saliency map is very dependent on the existing visual saliency metrics. It is mostly only get sketchy effect of saliency map, and roughly based visual saliency map will affect the image segmentation results. The paper had presented the randomized visual saliency detection algorithm. The randomized visual saliency detection method can quickly generate the same size as the original input image and detailed results of the saliency map. The randomized saliency detection method can be applied to real-time requirements for image content-based scaling saliency results map. The randomization method for fast randomized video saliency area detection, the algorithm only requires a small amount of memory space can be detected detailed oriented visual saliency map, the presented results are shown that the method of visual saliency map used in image after the segmentation process can be an ideal segmentation results. PMID:24382980

  13. The study of randomized visual saliency detection algorithm.

    PubMed

    Chen, Yuantao; Xu, Weihong; Kuang, Fangjun; Gao, Shangbing

    2013-01-01

    Image segmentation process for high quality visual saliency map is very dependent on the existing visual saliency metrics. It is mostly only get sketchy effect of saliency map, and roughly based visual saliency map will affect the image segmentation results. The paper had presented the randomized visual saliency detection algorithm. The randomized visual saliency detection method can quickly generate the same size as the original input image and detailed results of the saliency map. The randomized saliency detection method can be applied to real-time requirements for image content-based scaling saliency results map. The randomization method for fast randomized video saliency area detection, the algorithm only requires a small amount of memory space can be detected detailed oriented visual saliency map, the presented results are shown that the method of visual saliency map used in image after the segmentation process can be an ideal segmentation results.

  14. Learning Sorting Algorithms through Visualization Construction

    ERIC Educational Resources Information Center

    Cetin, Ibrahim; Andrews-Larson, Christine

    2016-01-01

    Recent increased interest in computational thinking poses an important question to researchers: What are the best ways to teach fundamental computing concepts to students? Visualization is suggested as one way of supporting student learning. This mixed-method study aimed to (i) examine the effect of instruction in which students constructed…

  15. UFLIC: A Line Integral Convolution Algorithm for Visualizing Unsteady Flows

    NASA Technical Reports Server (NTRS)

    Shen, Han-Wei; Kao, David L.; Chancellor, Marisa K. (Technical Monitor)

    1997-01-01

    This paper presents an algorithm, UFLIC (Unsteady Flow LIC), to visualize vector data in unsteady flow fields. Using the Line Integral Convolution (LIC) as the underlying method, a new convolution algorithm is proposed that can effectively trace the flow's global features over time. The new algorithm consists of a time-accurate value depositing scheme and a successive feed-forward method. The value depositing scheme accurately models the flow advection, and the successive feed-forward method maintains the coherence between animation frames. Our new algorithm can produce time-accurate, highly coherent flow animations to highlight global features in unsteady flow fields. CFD scientists, for the first time, are able to visualize unsteady surface flows using our algorithm.

  16. Teaching Geography with 3-D Visualization Technology

    ERIC Educational Resources Information Center

    Anthamatten, Peter; Ziegler, Susy S.

    2006-01-01

    Technology that helps students view images in three dimensions (3-D) can support a broad range of learning styles. "Geo-Wall systems" are visualization tools that allow scientists, teachers, and students to project stereographic images and view them in 3-D. We developed and presented 3-D visualization exercises in several undergraduate courses.…

  17. Visualizing and improving the robustness of phase retrieval algorithms

    SciTech Connect

    Tripathi, Ashish; Leyffer, Sven; Munson, Todd; Wild, Stefan M.

    2015-06-01

    Coherent x-ray diffractive imaging is a novel imaging technique that utilizes phase retrieval and nonlinear optimization methods to image matter at nanometer scales. We explore how the convergence properties of a popular phase retrieval algorithm, Fienup's HIO, behave by introducing a reduced dimensionality problem allowing us to visualize and quantify convergence to local minima and the globally optimal solution. We then introduce generalizations of HIO that improve upon the original algorithm's ability to converge to the globally optimal solution.

  18. Integrating Algorithm Visualization Video into a First-Year Algorithm and Data Structure Course

    ERIC Educational Resources Information Center

    Crescenzi, Pilu; Malizia, Alessio; Verri, M. Cecilia; Diaz, Paloma; Aedo, Ignacio

    2012-01-01

    In this paper we describe the results that we have obtained while integrating algorithm visualization (AV) movies (strongly tightened with the other teaching material), within a first-year undergraduate course on algorithms and data structures. Our experimental results seem to support the hypothesis that making these movies available significantly…

  19. Notions of Technology and Visual Literacy

    ERIC Educational Resources Information Center

    Stankiewicz, Mary Ann

    2004-01-01

    For many art educators, the word "technology" conjures up visions of overhead projectors and VCRs, video and digital cameras, computers equipped with graphic programs and presentation software, digital labs where images rendered in pixels replace the debris of charcoal dust and puddled paints. One forgets that visual literacy and technology have…

  20. A Topology Visualization Early Warning Distribution Algorithm for Large-Scale Network Security Incidents

    PubMed Central

    He, Hui; Fan, Guotao; Ye, Jianwei; Zhang, Weizhe

    2013-01-01

    It is of great significance to research the early warning system for large-scale network security incidents. It can improve the network system's emergency response capabilities, alleviate the cyber attacks' damage, and strengthen the system's counterattack ability. A comprehensive early warning system is presented in this paper, which combines active measurement and anomaly detection. The key visualization algorithm and technology of the system are mainly discussed. The large-scale network system's plane visualization is realized based on the divide and conquer thought. First, the topology of the large-scale network is divided into some small-scale networks by the MLkP/CR algorithm. Second, the sub graph plane visualization algorithm is applied to each small-scale network. Finally, the small-scale networks' topologies are combined into a topology based on the automatic distribution algorithm of force analysis. As the algorithm transforms the large-scale network topology plane visualization problem into a series of small-scale network topology plane visualization and distribution problems, it has higher parallelism and is able to handle the display of ultra-large-scale network topology. PMID:24191145

  1. A topology visualization early warning distribution algorithm for large-scale network security incidents.

    PubMed

    He, Hui; Fan, Guotao; Ye, Jianwei; Zhang, Weizhe

    2013-01-01

    It is of great significance to research the early warning system for large-scale network security incidents. It can improve the network system's emergency response capabilities, alleviate the cyber attacks' damage, and strengthen the system's counterattack ability. A comprehensive early warning system is presented in this paper, which combines active measurement and anomaly detection. The key visualization algorithm and technology of the system are mainly discussed. The large-scale network system's plane visualization is realized based on the divide and conquer thought. First, the topology of the large-scale network is divided into some small-scale networks by the MLkP/CR algorithm. Second, the sub graph plane visualization algorithm is applied to each small-scale network. Finally, the small-scale networks' topologies are combined into a topology based on the automatic distribution algorithm of force analysis. As the algorithm transforms the large-scale network topology plane visualization problem into a series of small-scale network topology plane visualization and distribution problems, it has higher parallelism and is able to handle the display of ultra-large-scale network topology.

  2. A topology visualization early warning distribution algorithm for large-scale network security incidents.

    PubMed

    He, Hui; Fan, Guotao; Ye, Jianwei; Zhang, Weizhe

    2013-01-01

    It is of great significance to research the early warning system for large-scale network security incidents. It can improve the network system's emergency response capabilities, alleviate the cyber attacks' damage, and strengthen the system's counterattack ability. A comprehensive early warning system is presented in this paper, which combines active measurement and anomaly detection. The key visualization algorithm and technology of the system are mainly discussed. The large-scale network system's plane visualization is realized based on the divide and conquer thought. First, the topology of the large-scale network is divided into some small-scale networks by the MLkP/CR algorithm. Second, the sub graph plane visualization algorithm is applied to each small-scale network. Finally, the small-scale networks' topologies are combined into a topology based on the automatic distribution algorithm of force analysis. As the algorithm transforms the large-scale network topology plane visualization problem into a series of small-scale network topology plane visualization and distribution problems, it has higher parallelism and is able to handle the display of ultra-large-scale network topology. PMID:24191145

  3. Visual Empirical Region of Influence (VERI) Pattern Recognition Algorithms

    2002-05-01

    We developed new pattern recognition (PR) algorithms based on a human visual perception model. We named these algorithms Visual Empirical Region of Influence (VERI) algorithms. To compare the new algorithm's effectiveness against othe PR algorithms, we benchmarked their clustering capabilities with a standard set of two-dimensional data that is well known in the PR community. The VERI algorithm succeeded in clustering all the data correctly. No existing algorithm had previously clustered all the pattens inmore » the data set successfully. The commands to execute VERI algorithms are quite difficult to master when executed from a DOS command line. The algorithm requires several parameters to operate correctly. From our own experiences we realized that if we wanted to provide a new data analysis tool to the PR community we would have to provide a new data analysis tool to the PR community we would have to make the tool powerful, yet easy and intuitive to use. That was our motivation for developing graphical user interfaces (GUI's) to the VERI algorithms. We developed GUI's to control the VERI algorithm in a single pass mode and in an optimization mode. We also developed a visualization technique that allows users to graphically animate and visually inspect multi-dimensional data after it has been classified by the VERI algorithms. The visualization technique that allows users to graphically animate and visually inspect multi-dimensional data after it has been classified by the VERI algorithms. The visualization package is integrated into the single pass interface. Both the single pass interface and optimization interface are part of the PR software package we have developed and make available to other users. The single pass mode only finds PR results for the sets of features in the data set that are manually requested by the user. The optimization model uses a brute force method of searching through the cominations of features in a data set for features that produce

  4. Visual Attention and Applications in Multimedia Technologies

    PubMed Central

    Le Callet, Patrick; Niebur, Ernst

    2013-01-01

    Making technological advances in the field of human-machine interactions requires that the capabilities and limitations of the human perceptual system are taken into account. The focus of this report is an important mechanism of perception, visual selective attention, which is becoming more and more important for multimedia applications. We introduce the concept of visual attention and describe its underlying mechanisms. In particular, we introduce the concepts of overt and covert visual attention, and of bottom-up and top-down processing. Challenges related to modeling visual attention and their validation using ad hoc ground truth are also discussed. Examples of the usage of visual attention models in image and video processing are presented. We emphasize multimedia delivery, retargeting and quality assessment of image and video, medical imaging, and the field of stereoscopic 3D images applications. PMID:24489403

  5. GeoBuilder: a geometric algorithm visualization and debugging system for 2D and 3D geometric computing.

    PubMed

    Wei, Jyh-Da; Tsai, Ming-Hung; Lee, Gen-Cher; Huang, Jeng-Hung; Lee, Der-Tsai

    2009-01-01

    Algorithm visualization is a unique research topic that integrates engineering skills such as computer graphics, system programming, database management, computer networks, etc., to facilitate algorithmic researchers in testing their ideas, demonstrating new findings, and teaching algorithm design in the classroom. Within the broad applications of algorithm visualization, there still remain performance issues that deserve further research, e.g., system portability, collaboration capability, and animation effect in 3D environments. Using modern technologies of Java programming, we develop an algorithm visualization and debugging system, dubbed GeoBuilder, for geometric computing. The GeoBuilder system features Java's promising portability, engagement of collaboration in algorithm development, and automatic camera positioning for tracking 3D geometric objects. In this paper, we describe the design of the GeoBuilder system and demonstrate its applications. PMID:19147888

  6. APPLYING SIMPLE TECHNOLOGY ACCOMPLISHES VISUAL INSPECTION CHALLENGES

    SciTech Connect

    Robinson, C

    2007-07-21

    This paper discusses the successful implementation of simple video technologies at the Savannah River Site (SRS) to perform complex visual inspection, monitoring, and surveillance tasks. Because SRS facilities are similar to those of an industrial plant, the environmental and accessibility considerations for remote viewing are the primary determining factors in the selection of technology. The constraints and challenges associated with remote viewing are discussed, and examples of applications are given.

  7. Teaching English with Audio Visual Technology.

    ERIC Educational Resources Information Center

    Kundu, Mahima Ranjan

    Audiovisual technology can change the teacher-learning situation if various types of visual aids are employed in teaching English in the secondary grades. The use of overhead transparencies is an excellent way to prepare and present the student's ideas. Student's assignments can be produced on transparencies and projected for evaluation by the…

  8. Delicate visual artifacts of advanced digital video processing algorithms

    NASA Astrophysics Data System (ADS)

    Nicolas, Marina M.; Lebowsky, Fritz

    2005-03-01

    With the incoming of digital TV, sophisticated video processing algorithms have been developed to improve the rendering of motion or colors. However, the perceived subjective quality of these new systems sometimes happens to be in conflict with the objective measurable improvement we expect to get. In this presentation, we show examples where algorithms should visually improve the skin tone rendering of decoded pictures under normal conditions, but surprisingly fail, when the quality of mpeg encoding drops below a just noticeable threshold. In particular, we demonstrate that simple objective criteria used for the optimization, such as SAD, PSNR or histogram sometimes fail, partly because they are defined on a global scale, ignoring local characteristics of the picture content. We then integrate a simple human visual model to measure potential artifacts with regard to spatial and temporal variations of the objects' characteristics. Tuning some of the model's parameters allows correlating the perceived objective quality with compression metrics of various encoders. We show the evolution of our reference parameters in respect to the compression ratios. Finally, using the output of the model, we can control the parameters of the skin tone algorithm to reach an improvement in overall system quality.

  9. Visual tracking method based on cuckoo search algorithm

    NASA Astrophysics Data System (ADS)

    Gao, Ming-Liang; Yin, Li-Ju; Zou, Guo-Feng; Li, Hai-Tao; Liu, Wei

    2015-07-01

    Cuckoo search (CS) is a new meta-heuristic optimization algorithm that is based on the obligate brood parasitic behavior of some cuckoo species in combination with the Lévy flight behavior of some birds and fruit flies. It has been found to be efficient in solving global optimization problems. An application of CS is presented to solve the visual tracking problem. The relationship between optimization and visual tracking is comparatively studied and the parameters' sensitivity and adjustment of CS in the tracking system are experimentally studied. To demonstrate the tracking ability of a CS-based tracker, a comparative study of tracking accuracy and speed of the CS-based tracker with six "state-of-art" trackers, namely, particle filter, meanshift, PSO, ensemble tracker, fragments tracker, and compressive tracker are presented. Comparative results show that the CS-based tracker outperforms the other trackers.

  10. Visual Contrast Enhancement Algorithm Based on Histogram Equalization

    PubMed Central

    Ting, Chih-Chung; Wu, Bing-Fei; Chung, Meng-Liang; Chiu, Chung-Cheng; Wu, Ya-Ching

    2015-01-01

    Image enhancement techniques primarily improve the contrast of an image to lend it a better appearance. One of the popular enhancement methods is histogram equalization (HE) because of its simplicity and effectiveness. However, it is rarely applied to consumer electronics products because it can cause excessive contrast enhancement and feature loss problems. These problems make the images processed by HE look unnatural and introduce unwanted artifacts in them. In this study, a visual contrast enhancement algorithm (VCEA) based on HE is proposed. VCEA considers the requirements of the human visual perception in order to address the drawbacks of HE. It effectively solves the excessive contrast enhancement problem by adjusting the spaces between two adjacent gray values of the HE histogram. In addition, VCEA reduces the effects of the feature loss problem by using the obtained spaces. Furthermore, VCEA enhances the detailed textures of an image to generate an enhanced image with better visual quality. Experimental results show that images obtained by applying VCEA have higher contrast and are more suited to human visual perception than those processed by HE and other HE-based methods. PMID:26184219

  11. Human Computation in Visualization: Using Purpose Driven Games for Robust Evaluation of Visualization Algorithms.

    PubMed

    Ahmed, N; Zheng, Ziyi; Mueller, K

    2012-12-01

    Due to the inherent characteristics of the visualization process, most of the problems in this field have strong ties with human cognition and perception. This makes the human brain and sensory system the only truly appropriate evaluation platform for evaluating and fine-tuning a new visualization method or paradigm. However, getting humans to volunteer for these purposes has always been a significant obstacle, and thus this phase of the development process has traditionally formed a bottleneck, slowing down progress in visualization research. We propose to take advantage of the newly emerging field of Human Computation (HC) to overcome these challenges. HC promotes the idea that rather than considering humans as users of the computational system, they can be made part of a hybrid computational loop consisting of traditional computation resources and the human brain and sensory system. This approach is particularly successful in cases where part of the computational problem is considered intractable using known computer algorithms but is trivial to common sense human knowledge. In this paper, we focus on HC from the perspective of solving visualization problems and also outline a framework by which humans can be easily seduced to volunteer their HC resources. We introduce a purpose-driven game titled "Disguise" which serves as a prototypical example for how the evaluation of visualization algorithms can be mapped into a fun and addicting activity, allowing this task to be accomplished in an extensive yet cost effective way. Finally, we sketch out a framework that transcends from the pure evaluation of existing visualization methods to the design of a new one.

  12. The Adaptive Analysis of Visual Cognition using Genetic Algorithms

    PubMed Central

    Cook, Robert G.; Qadri, Muhammad A. J.

    2014-01-01

    Two experiments used a novel, open-ended, and adaptive test procedure to examine visual cognition in animals. Using a genetic algorithm, a pigeon was tested repeatedly from a variety of different initial conditions for its solution to an intermediate brightness search task. On each trial, the animal had to accurately locate and peck a target element of intermediate brightness from among a variable number of surrounding darker and lighter distractor elements. Displays were generated from six parametric variables, or genes (distractor number, element size, shape, spacing, target brightness, distractor brightness). Display composition changed over time, or evolved, as a function of the bird’s differential accuracy within the population of values for each gene. Testing three randomized initial conditions and one set of controlled initial conditions, element size and number of distractors were identified as the most important factors controlling search accuracy, with distractor brightness, element shape, and spacing making secondary contributions. The resulting changes in this multidimensional stimulus space suggested the existence of a set of conditions that the bird repeatedly converged upon regardless of initial conditions. This psychological “attractor” represents the cumulative action of the cognitive operations used by the pigeon in solving and performing this search task. The results are discussed regarding their implications for visual cognition in pigeons and the usefulness of adaptive, subject-driven experimentation for investigating human and animal cognition more generally. PMID:24000905

  13. Machine vision algorithm generation using human visual models

    NASA Astrophysics Data System (ADS)

    Daley, Wayne D.; Doll, Theodore J.; McWhorter, Shane W.; Wasilewski, Anthony A.

    1999-01-01

    The design of robust machine vision algorithms is one of the most difficult parts of developing and integrating automated systems. Historically, most of the techniques have been developed using ad hoc methodologies. This problem is more severe in the area of natural/biological products. In this arena, it has been difficult to capture and model the natural variability to be expected in the products. This present difficulty in performing quality and process control in the meat, fruit and vegetable industries. While some systems have been introduced, they do not adequately address the wide range of needs. This paper will propose an algorithm development technique that utilizes modes of the human visual system. It will address that subset of problems that humans perform well, but have proven difficult to automate with the standard machine vision techniques. The basis of the technique evaluation will be the Georgia Tech Vision model. This approach demonstrates a high level of accuracy in its ability to solve difficult problems. This paper will present the approach, the result, and possibilities for implementation.

  14. TADtool: visual parameter identification for TAD-calling algorithms

    PubMed Central

    Kruse, Kai; Hug, Clemens B.; Hernández-Rodríguez, Benjamín; Vaquerizas, Juan M.

    2016-01-01

    Summary: Eukaryotic genomes are hierarchically organized into topologically associating domains (TADs). The computational identification of these domains and their associated properties critically depends on the choice of suitable parameters of TAD-calling algorithms. To reduce the element of trial-and-error in parameter selection, we have developed TADtool: an interactive plot to find robust TAD-calling parameters with immediate visual feedback. TADtool allows the direct export of TADs called with a chosen set of parameters for two of the most common TAD calling algorithms: directionality and insulation index. It can be used as an intuitive, standalone application or as a Python package for maximum flexibility. Availability and implementation: TADtool is available as a Python package from GitHub (https://github.com/vaquerizaslab/tadtool) or can be installed directly via PyPI, the Python package index (tadtool). Contact: kai.kruse@mpi-muenster.mpg.de, jmv@mpi-muenster.mpg.de Supplementary information: Supplementary data are available at Bioinformatics online. PMID:27318199

  15. SciDAC Visualization and Analytics Center for EnablingTechnologies

    SciTech Connect

    Bethel, E. Wes; Johnson, Chris; Joy, Ken; Ahern, Sean; Pascucci,Valerio; Childs, Hank; Cohen, Jonathan; Duchaineau, Mark; Hamann, Bernd; Hansen, Charles; Laney, Dan; Lindstrom, Peter; Meredith, Jermey; Ostrouchov, George; Parker, Steven; Silva, Claudio; Sanderson, Allen; Tricoche, Xavier.

    2007-06-30

    The Visualization and Analytics Center for EnablingTechnologies (VACET) focuses on leveraging scientific visualization andanalytics software technology as an enabling technology for increasingscientific productivity and insight. Advances in computational technologyhave resulted in an 'information big bang,' which in turn has created asignificant data understanding challenge. This challenge is widelyacknowledged to be one of the primary bottlenecks in contemporaryscience. The vision of VACET is to adapt, extend, create when necessary,and deploy visual data analysis solutions that are responsive to theneeds of DOE'scomputational and experimental scientists. Our center isengineered to be directly responsive to those needs and to deliversolutions for use in DOE's large open computing facilities. The researchand development directly target data understanding problems provided byour scientific application stakeholders. VACET draws from a diverse setof visualization technology ranging from production quality applicationsand application frameworks to state-of-the-art algorithms forvisualization, analysis, analytics, data manipulation, and datamanagement.

  16. The openGL visualization of the 2D parallel FDTD algorithm

    NASA Astrophysics Data System (ADS)

    Walendziuk, Wojciech

    2005-02-01

    This paper presents a way of visualization of a two-dimensional version of a parallel algorithm of the FDTD method. The visualization module was created on the basis of the OpenGL graphic standard with the use of the GLUT interface. In addition, the work includes the results of the efficiency of the parallel algorithm in the form of speedup charts.

  17. Teaching Technology Education to Visually Impaired Students.

    ERIC Educational Resources Information Center

    Mann, Rene

    1987-01-01

    Discusses various types of visual impairments and how the learning environment can be adapted to limit their effect. Presents suggestions for adapting industrial arts laboratory activities to maintain safety standards while allowing the visually impaired to participate. (CH)

  18. Visual Literacy: The Missing Piece of Your Technology Integration Course

    ERIC Educational Resources Information Center

    Sosa, Teri

    2009-01-01

    This article reports the result of an action research study that explored the need for visual literacy as an additional instructional input for students creating technology integration solutions. The introduction of visual literacy concepts is useful in two ways. First, it raises visual considerations to the conscious consideration of students.…

  19. Vector Field Visual Data Analysis Technologies for Petascale Computational Science

    SciTech Connect

    Garth, Christoph; Deines, Eduard; Joy, Kenneth I.; Bethel, E. Wes; Childs, Hank; Weber, Gunther; Ahern, Sean; Pugmire, Dave; Sanderson, Allen; Johnson, Chris

    2009-11-13

    State-of-the-art computational science simulations generate large-scale vector field data sets. Visualization and analysis is a key aspect of obtaining insight into these data sets and represents an important challenge. This article discusses possibilities and challenges of modern vector field visualization and focuses on methods and techniques developed in the SciDAC Visualization and Analytics Center for Enabling Technologies (VACET) and deployed in the open-source visualization tool, VisIt.

  20. Visualizing Global Wildfire Automated Biomass Burning Algorithm Data

    NASA Astrophysics Data System (ADS)

    Schmidt, C. C.; Hoffman, J.; Prins, E. M.

    2013-12-01

    The Wildfire Automated Biomass Burning Algorithm (WFABBA) produces fire detection and characterization from a global constellation of geostationary satellites on a realtime basis. Presentation of this data in a timely and meaningful way has been a challenge, but as hardware and software have advanced and web tools have evolved, new options have rapidly arisen. The WFABBA team at the Cooperative Institute for Meteorological Satellite Studies (CIMSS) at the Space Science Engineering Center (SSEC) have begun implementation of a web-based framework that allows a user to visualize current and archived fire data from NOAA's Geostationary Operational Environmental Satellite (GOES), EUMETSAT's Meteosat Second Generation (MSG), JMA's Multifunction Transport Satellite (MTSAT), and KMA's COMS series of satellites. User group needs vary from simple examination of the most recent data to multi-hour composites to animations, as well as saving datasets for further review. In order to maximize the usefulness of the data, a user-friendly and scaleable interface has been under development that will, when complete, allow access to approximately 18 years of WFABBA data, as well as the data produced in real-time. Implemented, planned, and potential additional features will be examined.

  1. Teaching Intonation in Discourse Using Speech Visualization Technology

    ERIC Educational Resources Information Center

    Levis, John; Pickering, Lucy

    2004-01-01

    Intonation, long thought to be a key to effectiveness in spoken language, is more and more commonly addressed in English language teaching through the use of speech visualization technology. While the use of visualization technology is a crucial advance in the teaching of intonation, such teaching can be further enhanced by connecting technology…

  2. Comparing Learning Performance of Students Using Algorithm Visualizations Collaboratively on Different Engagement Levels

    ERIC Educational Resources Information Center

    Laakso, Mikko-Jussi; Myller, Niko; Korhonen, Ari

    2009-01-01

    In this paper, two emerging learning and teaching methods have been studied: collaboration in concert with algorithm visualization. When visualizations have been employed in collaborative learning, collaboration introduces new challenges for the visualization tools. In addition, new theories are needed to guide the development and research of the…

  3. SciDAC Visualization and Analytics Center for Enabling Technologies

    SciTech Connect

    Joy, Kenneth I.

    2014-09-14

    This project focuses on leveraging scientific visualization and analytics software technology as an enabling technology for increasing scientific productivity and insight. Advances in computational technology have resulted in an "information big bang," which in turn has created a significant data understanding challenge. This challenge is widely acknowledged to be one of the primary bottlenecks in contemporary science. The vision for our Center is to respond directly to that challenge by adapting, extending, creating when necessary and deploying visualization and data understanding technologies for our science stakeholders. Using an organizational model as a Visualization and Analytics Center for Enabling Technologies (VACET), we are well positioned to be responsive to the needs of a diverse set of scientific stakeholders in a coordinated fashion using a range of visualization, mathematics, statistics, computer and computational science and data management technologies.

  4. Independence for the Visually Handicapped through Technology.

    ERIC Educational Resources Information Center

    Brunken, Phyllis

    Visually handicapped students (10-19 years old) at the Nebraska School for the Visually Handicapped receive training on computer equipment for word processing, computer literacy, programming, and computer assisted instruction. Hardware and software used in the program include the Kurzweil Reading Machine, the VersaBraille system, Total Talk, and…

  5. Using Technology to Support Visual Learning Strategies

    ERIC Educational Resources Information Center

    O'Bannon, Blanche; Puckett, Kathleen; Rakes, Glenda

    2006-01-01

    Visual learning is a strategy for visually representing the structure of information and for representing the ways in which concepts are related. Based on the work of Ausubel, these hierarchical maps facilitate student learning of unfamiliar information in the K-12 classroom. This paper presents the research base for this Type II computer tool, as…

  6. Hardware Implementation of a Spline-Based Genetic Algorithm for Embedded Stereo Vision Sensor Providing Real-Time Visual Guidance to the Visually Impaired

    NASA Astrophysics Data System (ADS)

    Lee, Dah-Jye; Anderson, Jonathan D.; Archibald, James K.

    2008-12-01

    Many image and signal processing techniques have been applied to medical and health care applications in recent years. In this paper, we present a robust signal processing approach that can be used to solve the correspondence problem for an embedded stereo vision sensor to provide real-time visual guidance to the visually impaired. This approach is based on our new one-dimensional (1D) spline-based genetic algorithm to match signals. The algorithm processes image data lines as 1D signals to generate a dense disparity map, from which 3D information can be extracted. With recent advances in electronics technology, this 1D signal matching technique can be implemented and executed in parallel in hardware such as field-programmable gate arrays (FPGAs) to provide real-time feedback about the environment to the user. In order to complement (not replace) traditional aids for the visually impaired such as canes and Seeing Eyes dogs, vision systems that provide guidance to the visually impaired must be affordable, easy to use, compact, and free from attributes that are awkward or embarrassing to the user. "Seeing Eye Glasses," an embedded stereo vision system utilizing our new algorithm, meets all these requirements.

  7. How Dynamic Visualization Technology Can Support Molecular Reasoning

    ERIC Educational Resources Information Center

    Levy, Dalit

    2013-01-01

    This paper reports the results of a study aimed at exploring the advantages of dynamic visualization for the development of better understanding of molecular processes. We designed a technology-enhanced curriculum module in which high school chemistry students conduct virtual experiments with dynamic molecular visualizations of solid, liquid, and…

  8. Evaluating Microcomputer Access Technology for Use by Visually Impaired Students.

    ERIC Educational Resources Information Center

    Ruconich, Sandra

    1984-01-01

    The article outlines advantages and limitations of five types of access to microcomputer technology for visually impaired students: electronic braille, paper braille, Optacon, synthetic speech, and enlarged print. Additional considerations in access decisions are noted. (CL)

  9. Visual pattern recognition network: its training algorithm and its optoelectronic architecture

    NASA Astrophysics Data System (ADS)

    Wang, Ning; Liu, Liren

    1996-07-01

    A visual pattern recognition network and its training algorithm are proposed. The network constructed of a one-layer morphology network and a two-layer modified Hamming net. This visual network can implement invariant pattern recognition with respect to image translation and size projection. After supervised learning takes place, the visual network extracts image features and classifies patterns much the same as living beings do. Moreover we set up its optoelectronic architecture for real-time pattern recognition.

  10. Enhanced Detection of Multivariate Outliers Using Algorithm-Based Visual Display Techniques.

    ERIC Educational Resources Information Center

    Dickinson, Wendy B.

    This study uses an algorithm-based visual display technique (FACES) to provide enhanced detection of multivariate outliers within large-scale data sets. The FACES computer graphing algorithm (H. Chernoff, 1973) constructs a cartoon-like face, using up to 18 variables for each case. A major advantage of FACES is the ability to store and show the…

  11. Assistive Technology Competencies for Teachers of Students with Visual Impairments

    ERIC Educational Resources Information Center

    Smith, Derrick W.; Kelley, Pat; Maushak, Nancy J.; Griffin-Shirley, Nora; Lan, William Y.

    2009-01-01

    Using the expert opinion of more than 30 professionals, this Delphi study set out to develop a set of assistive technology competencies for teachers of students with visual impairments. The result of the study was the development of a highly reliable and valid set of 111 assistive technology competencies. (Contains 2 tables.)

  12. Knowledge-based visual image processing IDE model for algorithm and system rapid prototyping

    NASA Astrophysics Data System (ADS)

    Zhang, Biyin; Chen, Wei; Wang, Yuanbin

    2009-10-01

    A novel intelligent model for Image Processing (IP) research integrated development environment (IDE) is presented for rapid converting conceptual model of IP algorithm into computational model and program implementation. Considering psychology of IP and computer programming, this model presents a cycle model of IP research process and establishes an improved expert system prototype. Visualization approaches are introduced into visualizing three phases of IP development. An intelligent methodology is applied to reuse algorithms, graphical user interfaces (GUI) and data visualizing tools. Thus, researchers are allowed to fix more attention only on their own interest algorithm models. Experimental results show that the development based the new model enhances rapid algorithm prototype modeling with great efficiency and speed.

  13. Reasoning visualization in expert systems - The applicability of algorithm animation techniques

    NASA Technical Reports Server (NTRS)

    Selig, William J.; Johannes, James D.

    1990-01-01

    This paper presents the results of research into providing a means for users to flexibly create visualizations of the reasoning processes of forward-chaining rule-based expert systems using algorithm animation techniques. Levels of reasoning are described in order to identify the information necessary from the expert system development environment for these visualizations. A dual-process visualization environment is presented consisting of: (1) a version of CLIPS modified for the identified information access requirements; and (2) VISOR, an algorithm animation-based system for creating visualizations of arbitrary complexity which can be triggered by 'interesting event' messages from the running expert-system application. This is followed by examples from several visualizations performed during the scope of this work.

  14. Do the Visual Complexity Algorithms Match the Generalization Process in Geographical Displays?

    NASA Astrophysics Data System (ADS)

    Brychtová, A.; Çöltekin, A.; Pászto, V.

    2016-06-01

    In this study, we first develop a hypothesis that existing quantitative visual complexity measures will overall reflect the level of cartographic generalization, and test this hypothesis. Specifically, to test our hypothesis, we first selected common geovisualization types (i.e., cartographic maps, hybrid maps, satellite images and shaded relief maps) and retrieved examples as provided by Google Maps, OpenStreetMap and SchweizMobil by swisstopo. Selected geovisualizations vary in cartographic design choices, scene contents and different levels of generalization. Following this, we applied one of Rosenholtz et al.'s (2007) visual clutter algorithms to obtain quantitative visual complexity scores for screenshots of the selected maps. We hypothesized that visual complexity should be constant across generalization levels, however, the algorithm suggested that the complexity of small-scale displays (less detailed) is higher than those of large-scale (high detail). We also observed vast differences in visual complexity among maps providers, which we attribute to their varying approaches towards the cartographic design and generalization process. Our efforts will contribute towards creating recommendations as to how the visual complexity algorithms could be optimized for cartographic products, and eventually be utilized as a part of the cartographic design process to assess the visual complexity.

  15. Measuring visual opacity using digital imaging technology.

    PubMed

    McFarland, Michael J; Terry, Spencer H; Calidonna, Michael J; Stone, Daniel A; Kerch, Paul E; Rasmussen, Steven L

    2004-03-01

    The U.S. Environmental Protection Agency (EPA) Reference Method 9 (Method 9) is the preferred enforcement approach for verifying facility compliance with federal visible opacity standards. Supporters of Method 9 have cited its flexibility and low cost as important technological and economic advantages of the methodology. The Digital Opacity Compliance System (DOCS), an innovative technology that employs digital imaging technology for quantifying visible opacity, has been proposed as a technically defensible and economically competitive alternative to Method 9. Results from the field application of the DOCS at EPA-approved Method 9 smoke schools located in Ogden, UT, Augusta, GA, and Columbus, OH, demonstrated that, under clear sky conditions, the DOCS consistently met the opacity error rate established under Method 9. Application of hypothesis testing on the smoke school data set confirmed that the DOCS was equivalent to Method 9 under clear sky conditions. Under overcast sky conditions, human observers seemed to be more accurate than the DOCS in measuring opacity. However, within the smoke school environment, human observers routinely employ backgrounds other than sky (e.g., trees, telephone poles, billboards) to quantify opacity on overcast days. Under conditions that compel the use of sky as plume background (e.g., emission stacks having heights above the tree line), the DOCS appears to be a more accurate methodology for quantifying opacity than are human observers.

  16. 3D Visualization of Machine Learning Algorithms with Astronomical Data

    NASA Astrophysics Data System (ADS)

    Kent, Brian R.

    2016-01-01

    We present innovative machine learning (ML) methods using unsupervised clustering with minimum spanning trees (MSTs) to study 3D astronomical catalogs. Utilizing Python code to build trees based on galaxy catalogs, we can render the results with the visualization suite Blender to produce interactive 360 degree panoramic videos. The catalogs and their ML results can be explored in a 3D space using mobile devices, tablets or desktop browsers. We compare the statistics of the MST results to a number of machine learning methods relating to optimization and efficiency.

  17. Applications of aerospace technology in industry: A technology transfer profile. Visual display systems

    NASA Technical Reports Server (NTRS)

    1972-01-01

    The growth of common as well as emerging visual display technologies are surveyed. The major inference is that contemporary society is rapidly growing evermore reliant on visual display for a variety of purposes. Because of its unique mission requirements, the National Aeronautics and Space Administration has contributed in an important and specific way to the growth of visual display technology. These contributions are characterized by the use of computer-driven visual displays to provide an enormous amount of information concisely, rapidly and accurately.

  18. Advanced visualization technology for terascale particle accelerator simulations

    SciTech Connect

    Ma, K-L; Schussman, G.; Wilson, B.; Ko, K.; Qiang, J.; Ryne, R.

    2002-11-16

    This paper presents two new hardware-assisted rendering techniques developed for interactive visualization of the terascale data generated from numerical modeling of next generation accelerator designs. The first technique, based on a hybrid rendering approach, makes possible interactive exploration of large-scale particle data from particle beam dynamics modeling. The second technique, based on a compact texture-enhanced representation, exploits the advanced features of commodity graphics cards to achieve perceptually effective visualization of the very dense and complex electromagnetic fields produced from the modeling of reflection and transmission properties of open structures in an accelerator design. Because of the collaborative nature of the overall accelerator modeling project, the visualization technology developed is for both desktop and remote visualization settings. We have tested the techniques using both time varying particle data sets containing up to one billion particle s per time step and electromagnetic field data sets with millions of mesh elements.

  19. Visual Metaphors in the Representation of Communication Technology.

    ERIC Educational Resources Information Center

    Kaplan, Stuart Jay

    1990-01-01

    Examines the role of metaphors (particularly visual metaphors) in communicating social values associated with new communication technology by analyzing magazine advertisements for computing and advanced telecommunications products and services. Finds that the "lever" and the "synthesis of old and new values" metaphors are dominant in both general…

  20. Presentation Technology in the Age of Electronic Eloquence: From Visual Aid to Visual Rhetoric

    ERIC Educational Resources Information Center

    Cyphert, Dale

    2007-01-01

    Attention to presentation technology in the public speaking classroom has grown along with its contemporary use, but instruction generally positions the topic as a subset of visual aids. As contemporary public discourse enters an age of electronic eloquence, instructional focus on verbal communication might limit students' capacity to effectively…

  1. New visual technologies in court: directions for research.

    PubMed

    Feigenson, Neal; Dunn, Meghan A

    2003-02-01

    Litigation is being transformed by new visual communication technologies, including videoconferencing, PowerPoint, and computer animations. Yet the effects of these visual technologies on legal decision making are largely unknown. In order to understand better the most pressing issues surrounding technology in the courtroom, psychologists, lawyers, and representatives from technology companies and funding agencies attended a Research Conference on Courtroom Technology organized by the Federal Judicial Center. The goals of the conference were to identify issues raised by courtroom uses of new technologies that could be illuminated by empirical research and to suggest designs and methods for conducting that research. This paper emerged from that conference. The authors provide an overview of considerations that should guide research in this area, including a framework that takes into account features of the technology, the audience, and the legal strategy of the user of the technology. They outline a paradigm for conducting such research, illustrate it with several possible empirical studies of varying levels of experimental and conceptual complexity, and identify directions for subsequent research.

  2. Software and Algorithms for Biomedical Image Data Processing and Visualization

    NASA Technical Reports Server (NTRS)

    Talukder, Ashit; Lambert, James; Lam, Raymond

    2004-01-01

    A new software equipped with novel image processing algorithms and graphical-user-interface (GUI) tools has been designed for automated analysis and processing of large amounts of biomedical image data. The software, called PlaqTrak, has been specifically used for analysis of plaque on teeth of patients. New algorithms have been developed and implemented to segment teeth of interest from surrounding gum, and a real-time image-based morphing procedure is used to automatically overlay a grid onto each segmented tooth. Pattern recognition methods are used to classify plaque from surrounding gum and enamel, while ignoring glare effects due to the reflection of camera light and ambient light from enamel regions. The PlaqTrak system integrates these components into a single software suite with an easy-to-use GUI (see Figure 1) that allows users to do an end-to-end run of a patient s record, including tooth segmentation of all teeth, grid morphing of each segmented tooth, and plaque classification of each tooth image. The automated and accurate processing of the captured images to segment each tooth [see Figure 2(a)] and then detect plaque on a tooth-by-tooth basis is a critical component of the PlaqTrak system to do clinical trials and analysis with minimal human intervention. These features offer distinct advantages over other competing systems that analyze groups of teeth or synthetic teeth. PlaqTrak divides each segmented tooth into eight regions using an advanced graphics morphing procedure [see results on a chipped tooth in Figure 2(b)], and a pattern recognition classifier is then used to locate plaque [red regions in Figure 2(d)] and enamel regions. The morphing allows analysis within regions of teeth, thereby facilitating detailed statistical analysis such as the amount of plaque present on the biting surfaces on teeth. This software system is applicable to a host of biomedical applications, such as cell analysis and life detection, or robotic applications, such

  3. Infrared-visual image sequence fusion algorithm with noise suppression

    NASA Astrophysics Data System (ADS)

    Wang, Xin; Liu, Fu; Wei, Youli; Zhou, Huantian

    2013-09-01

    Video sequence fusion has a high request on real-time. A new fusion method of infrared and visible video fusion is proposed, which has the characteristics of low computational complexity and noise suppression. Firstly the improved mixed frame difference method is used to achieve the separation of the infrared target areas and the background areas. Secondly the new fusion algorithm is proposed to fuse the target areas of the infrared and visible light sequence. By image smoothness operator , the source images are divided into two parts: the edge region and the smooth region. Different fusion strategies are adopted for the different regions, can highlight the image edges and texture details more accurately and remove redundant, as well as suppressing noise. Finally, the fused target areas are combined with the background area of the visible light sequence to form the final fused image, which can avoid the high background noise of infrared sequence. The experimental results show that the proposed method not only can suppress noise effectively ,but also can acquire good fusion effects as well as achieve the real time need.

  4. Visual Tracking Based on an Improved Online Multiple Instance Learning Algorithm.

    PubMed

    Wang, Li Jia; Zhang, Hua

    2016-01-01

    An improved online multiple instance learning (IMIL) for a visual tracking algorithm is proposed. In the IMIL algorithm, the importance of each instance contributing to a bag probability is with respect to their probabilities. A selection strategy based on an inner product is presented to choose weak classifier from a classifier pool, which avoids computing instance probabilities and bag probability M times. Furthermore, a feedback strategy is presented to update weak classifiers. In the feedback update strategy, different weights are assigned to the tracking result and template according to the maximum classifier score. Finally, the presented algorithm is compared with other state-of-the-art algorithms. The experimental results demonstrate that the proposed tracking algorithm runs in real-time and is robust to occlusion and appearance changes.

  5. Visual Tracking Based on an Improved Online Multiple Instance Learning Algorithm.

    PubMed

    Wang, Li Jia; Zhang, Hua

    2016-01-01

    An improved online multiple instance learning (IMIL) for a visual tracking algorithm is proposed. In the IMIL algorithm, the importance of each instance contributing to a bag probability is with respect to their probabilities. A selection strategy based on an inner product is presented to choose weak classifier from a classifier pool, which avoids computing instance probabilities and bag probability M times. Furthermore, a feedback strategy is presented to update weak classifiers. In the feedback update strategy, different weights are assigned to the tracking result and template according to the maximum classifier score. Finally, the presented algorithm is compared with other state-of-the-art algorithms. The experimental results demonstrate that the proposed tracking algorithm runs in real-time and is robust to occlusion and appearance changes. PMID:26843855

  6. Visual Tracking Based on an Improved Online Multiple Instance Learning Algorithm

    PubMed Central

    Wang, Li Jia; Zhang, Hua

    2016-01-01

    An improved online multiple instance learning (IMIL) for a visual tracking algorithm is proposed. In the IMIL algorithm, the importance of each instance contributing to a bag probability is with respect to their probabilities. A selection strategy based on an inner product is presented to choose weak classifier from a classifier pool, which avoids computing instance probabilities and bag probability M times. Furthermore, a feedback strategy is presented to update weak classifiers. In the feedback update strategy, different weights are assigned to the tracking result and template according to the maximum classifier score. Finally, the presented algorithm is compared with other state-of-the-art algorithms. The experimental results demonstrate that the proposed tracking algorithm runs in real-time and is robust to occlusion and appearance changes. PMID:26843855

  7. GreedEx: A Visualization Tool for Experimentation and Discovery Learning of Greedy Algorithms

    ERIC Educational Resources Information Center

    Velazquez-Iturbide, J. A.; Debdi, O.; Esteban-Sanchez, N.; Pizarro, C.

    2013-01-01

    Several years ago we presented an experimental, discovery-learning approach to the active learning of greedy algorithms. This paper presents GreedEx, a visualization tool developed to support this didactic method. The paper states the design goals of GreedEx, makes explicit the major design decisions adopted, and describes its main characteristics…

  8. A Survey of Successful Evaluations of Program Visualization and Algorithm Animation Systems

    ERIC Educational Resources Information Center

    Urquiza-Fuentes, Jaime; Velazquez-Iturbide, J. Angel

    2009-01-01

    This article reviews successful educational experiences in using program and algorithm visualizations (PAVs). First, we survey a total of 18 PAV systems that were subject to 33 evaluations. We found that half of the systems have only been tested for usability, and those were shallow inspections. The rest were evaluated with respect to their…

  9. Looking at Algorithm Visualization through the Eyes of Pre-Service ICT Teachers

    ERIC Educational Resources Information Center

    Saltan, Fatih

    2016-01-01

    The study investigated pre-service ICT teachers' perceptions of algorithm visualization (AV) with regard to appropriateness of teaching levels and contribution to learning and motivation. In order to achieve this aim, a qualitative case study was carried out. The participants consisted of 218 pre-service ICT teachers from four different…

  10. Robotic vision technology and algorithms for space applications

    NASA Technical Reports Server (NTRS)

    Krishen, Kumar

    1988-01-01

    The vision data requirements for various automation and robotics applications for the Space Station are discussed. The advanced systems technology involved with robotic sensing for perception is reviewed, noting the unique requirements of vision systems in space. Three areas of algorithm development are discussed: shape extraction based on illumination, shape extraction by sensor fusion, and generalized image point correspondence. Possibilities for future developments in robotic vision technology are considered.

  11. Framework and algorithms for illustrative visualizations of time-varying flows on unstructured meshes

    DOE PAGES

    Rattner, Alexander S.; Guillen, Donna Post; Joshi, Alark; Garimella, Srinivas

    2016-03-17

    Photo- and physically realistic techniques are often insufficient for visualization of fluid flow simulations, especially for 3D and time-varying studies. Substantial research effort has been dedicated to the development of non-photorealistic and illustration-inspired visualization techniques for compact and intuitive presentation of such complex datasets. However, a great deal of work has been reproduced in this field, as many research groups have developed specialized visualization software. Additionally, interoperability between illustrative visualization software is limited due to diverse processing and rendering architectures employed in different studies. In this investigation, a framework for illustrative visualization is proposed, and implemented in MarmotViz, a ParaViewmore » plug-in, enabling its use on a variety of computing platforms with various data file formats and mesh geometries. Region-of-interest identification and feature-tracking algorithms incorporated into this tool are described. Implementations of multiple illustrative effect algorithms are also presented to demonstrate the use and flexibility of this framework. Here, by providing an integrated framework for illustrative visualization of CFD data, MarmotViz can serve as a valuable asset for the interpretation of simulations of ever-growing scale.« less

  12. Generalized Framework and Algorithms for Illustrative Visualization of Time-Varying Data on Unstructured Meshes

    SciTech Connect

    Alexander S. Rattner; Donna Post Guillen; Alark Joshi

    2012-12-01

    Photo- and physically-realistic techniques are often insufficient for visualization of simulation results, especially for 3D and time-varying datasets. Substantial research efforts have been dedicated to the development of non-photorealistic and illustration-inspired visualization techniques for compact and intuitive presentation of such complex datasets. While these efforts have yielded valuable visualization results, a great deal of work has been reproduced in studies as individual research groups often develop purpose-built platforms. Additionally, interoperability between illustrative visualization software is limited due to specialized processing and rendering architectures employed in different studies. In this investigation, a generalized framework for illustrative visualization is proposed, and implemented in marmotViz, a ParaView plugin, enabling its use on variety of computing platforms with various data file formats and mesh geometries. Detailed descriptions of the region-of-interest identification and feature-tracking algorithms incorporated into this tool are provided. Additionally, implementations of multiple illustrative effect algorithms are presented to demonstrate the use and flexibility of this framework. By providing a framework and useful underlying functionality, the marmotViz tool can act as a springboard for future research in the field of illustrative visualization.

  13. MODIS algorithm development and data visualization using ACTS

    NASA Technical Reports Server (NTRS)

    Abbott, Mark R.

    1992-01-01

    The study of the Earth as a system will require the merger of scientific and data resources on a much larger scale than has been done in the past. New methods of scientific research, particularly in the development of geographically dispersed, interdisciplinary teams, are necessary if we are to understand the complexity of the Earth system. Even the planned satellite missions themselves, such as the Earth Observing System, will require much more interaction between researchers and engineers if they are to produce scientifically useful data products. A key component in these activities is the development of flexible, high bandwidth data networks that can be used to move large amounts of data as well as allow researchers to communicate in new ways, such as through video. The capabilities of the Advanced Communications Technology Satellite (ACTS) will allow the development of such networks. The Pathfinder global AVHRR data set and the upcoming SeaWiFS Earthprobe mission would serve as a testbed in which to develop the tools to share data and information among geographically distributed researchers. Our goal is to develop a 'Distributed Research Environment' that can be used as a model for scientific collaboration in the EOS era. The challenge is to unite the advances in telecommunications with the parallel advances in computing and networking.

  14. Validation of Statistical Sampling Algorithms in Visual Sample Plan (VSP): Summary Report

    SciTech Connect

    Nuffer, Lisa L; Sego, Landon H.; Wilson, John E.; Hassig, Nancy L.; Pulsipher, Brent A.; Matzke, Brett D.

    2009-02-18

    The U.S. Department of Homeland Security, Office of Technology Development (OTD) contracted with a set of U.S. Department of Energy national laboratories, including the Pacific Northwest National Laboratory (PNNL), to write a Remediation Guidance for Major Airports After a Chemical Attack. The report identifies key activities and issues that should be considered by a typical major airport following an incident involving release of a toxic chemical agent. Four experimental tasks were identified that would require further research in order to supplement the Remediation Guidance. One of the tasks, Task 4, OTD Chemical Remediation Statistical Sampling Design Validation, dealt with statistical sampling algorithm validation. This report documents the results of the sampling design validation conducted for Task 4. In 2005, the Government Accountability Office (GAO) performed a review of the past U.S. responses to Anthrax terrorist cases. Part of the motivation for this PNNL report was a major GAO finding that there was a lack of validated sampling strategies in the U.S. response to Anthrax cases. The report (GAO 2005) recommended that probability-based methods be used for sampling design in order to address confidence in the results, particularly when all sample results showed no remaining contamination. The GAO also expressed a desire that the methods be validated, which is the main purpose of this PNNL report. The objective of this study was to validate probability-based statistical sampling designs and the algorithms pertinent to within-building sampling that allow the user to prescribe or evaluate confidence levels of conclusions based on data collected as guided by the statistical sampling designs. Specifically, the designs found in the Visual Sample Plan (VSP) software were evaluated. VSP was used to calculate the number of samples and the sample location for a variety of sampling plans applied to an actual release site. Most of the sampling designs validated are

  15. ROCIT : a visual object recognition algorithm based on a rank-order coding scheme.

    SciTech Connect

    Gonzales, Antonio Ignacio; Reeves, Paul C.; Jones, John J.; Farkas, Benjamin D.

    2004-06-01

    This document describes ROCIT, a neural-inspired object recognition algorithm based on a rank-order coding scheme that uses a light-weight neuron model. ROCIT coarsely simulates a subset of the human ventral visual stream from the retina through the inferior temporal cortex. It was designed to provide an extensible baseline from which to improve the fidelity of the ventral stream model and explore the engineering potential of rank order coding with respect to object recognition. This report describes the baseline algorithm, the model's neural network architecture, the theoretical basis for the approach, and reviews the history of similar implementations. Illustrative results are used to clarify algorithm details. A formal benchmark to the 1998 FERET fafc test shows above average performance, which is encouraging. The report concludes with a brief review of potential algorithmic extensions for obtaining scale and rotational invariance.

  16. Access Technology: A Guide to Educational Technology Resources for Visually Impaired Users.

    ERIC Educational Resources Information Center

    Lodge, John, Ed.

    This book presents an introduction to the range of technology that can be used to assist in the education of students with visual impairments, with descriptions of the main features of approximately 45 systems. After an introductory chapter, Chapter 1 identifies four key uses for technology: in communication, in the production of materials, to…

  17. New bionic navigation algorithm based on the visual navigation mechanism of bees

    NASA Astrophysics Data System (ADS)

    Huang, Yufeng; Liu, Yi; Liu, Jianguo

    2015-04-01

    Through some research on visual navigation mechanisms of flying insects especially honeybees, a novel navigation algorithm integrating entropy flow with Kalman filter has been introduced in this paper. Concepts of entropy image and entropy flow are also introduced, which can characterize topographic features and measure changes of the image respectively. To characterize texture feature and spatial distribution of an image, a new concept of contrast entropy image has been presented in this paper. Applying the contrast entropy image to the navigation algorithm to test its' performance of navigation and comparing with simulation results of intensity entropy image, a conclusion that contrast entropy image performs better and more robust in navigation has been made.

  18. How Dynamic Visualization Technology can Support Molecular Reasoning

    NASA Astrophysics Data System (ADS)

    Levy, Dalit

    2012-11-01

    This paper reports the results of a study aimed at exploring the advantages of dynamic visualization for the development of better understanding of molecular processes. We designed a technology-enhanced curriculum module in which high school chemistry students conduct virtual experiments with dynamic molecular visualizations of solid, liquid, and gas. They interact with the visualizations and carry out inquiry activities to make and refine connections between observable phenomena and atomic level processes related to phase change. The explanations proposed by 300 pairs of students in response to pre/post-assessment items have been analyzed using a scale for measuring the level of molecular reasoning. Results indicate that from pretest to posttest, students make progress in their level of molecular reasoning and are better able to connect intermolecular forces and phase change in their explanations. The paper presents the results through the lens of improvement patterns and the metaphor of the "ladder of molecular reasoning," and discusses how this adds to our understanding of the benefits of interacting with dynamic molecular visualizations.

  19. High-sensitivity strain visualization using electroluminescence technologies

    NASA Astrophysics Data System (ADS)

    Xu, Jian; Jo, Hongki

    2016-04-01

    Visualizing mechanical strain/stress changes is an emerging area in structural health monitoring. Several ways are available for strain change visualization through the color/brightness change of the materials subjected to the mechanical stresses, for example, using mechanoluminescence (ML) materials and mechanoresponsive polymers (MRP). However, these approaches were not effectively applicable for civil engineering system yet, due to insufficient sensitivity to low-level strain of typical civil structures and limitation in measuring both static and dynamic strain. In this study, design and validation for high-sensitivity strain visualization using electroluminescence technologies are presented. A high-sensitivity Wheatstone bridge, of which bridge balance is precisely controllable circuits, is used with a gain-adjustable amplifier. The monochrome electroluminescence (EL) technology is employed to convert both static and dynamic strain change into brightness/color change of the EL materials, through either brightness change mode (BCM) or color alternation mode (CAM). A prototype has been made and calibrated in lab, the linearity between strain and brightness change has been investigated.

  20. Visual Servoing: A technology in search of an application

    SciTech Connect

    Feddema, J.T.

    1994-05-01

    Considerable research has been performed on Robotic Visual Servoing (RVS) over the past decade. Using real-time visual feedback, researchers have demonstrated that robotic systems can pick up moving parts, insert bolts, apply sealant, and guide vehicles. With the rapid improvements being made in computing and image processing hardware, one would expect that every robot manufacturer would have a RVS option by the end of the 1990s. So why aren`t the Fanucs, ABBs, Adepts, and Motomans of the world investing heavily in RVS? I would suggest four seasons: cost, complexity, reliability, and lack of demand. Solutions to the first three are approaching the point where RVS could be commercially available; however, the lack of demand is keeping RVS from becoming a reality in the near future. A new set of applications is needed to focus near term RVS development. These must be applications which currently do not have solutions. Once developed and working in one application area, the technology is more likely to quickly spread to other areas. DOE has several applications that are looking for technological solutions, such as agile weapons production, weapons disassembly, decontamination and dismantlement of nuclear facilities, and hazardous waste remediation. This paper will examine a few of these areas and suggest directions for application-driven visual servoing research.

  1. Simulating Visual Learning and Optical Illusions via a Network-Based Genetic Algorithm

    NASA Astrophysics Data System (ADS)

    Siu, Theodore; Vivar, Miguel; Shinbrot, Troy

    We present a neural network model that uses a genetic algorithm to identify spatial patterns. We show that the model both learns and reproduces common visual patterns and optical illusions. Surprisingly, we find that the illusions generated are a direct consequence of the network architecture used. We discuss the implications of our results and the insights that we gain on how humans fall for optical illusions

  2. Tensor dissimilarity based adaptive seeding algorithm for DT-MRI visualization with streamtubes

    NASA Astrophysics Data System (ADS)

    Weldeselassie, Yonas T.; Hamarneh, Ghassan; Weiskopf, Daniel

    2007-03-01

    In this paper, we propose an adaptive seeding strategy for visualization of diffusion tensor magnetic resonance imaging (DT-MRI) data using streamtubes. DT-MRI is a medical imaging modality that captures unique water diffusion properties and fiber orientation information of the imaged tissues. Visualizing DT-MRI data using streamtubes has the advantage that not only the anisotropic nature of the diffusion is visualized but also the underlying anatomy of biological structures is revealed. This makes streamtubes significant for the analysis of fibrous tissues in medical images. In order to avoid rendering multiple similar streamtubes, an adaptive seeding strategy is employed which takes into account similarity of tensors in a given region. The goal is to automate the process of generating seed points such that regions with dissimilar tensors are assigned more seed points compared to regions with similar tensors. The algorithm is based on tensor dissimilarity metrics that take into account both diffusion magnitudes and directions to optimize the seeding positions and density of streamtubes in order to reduce the visual clutter. Two recent advances in tensor calculus and tensor dissimilarity metrics are utilized: the Log-Euclidean and the J-divergence. Results show that adaptive seeding not only helps to cull unnecessary streamtubes that would obscure visualization but also do so without having to compute the culled streamtubes, which makes the visualization process faster.

  3. Incorporating a Wheeled Vehicle Model in a New Monocular Visual Odometry Algorithm for Dynamic Outdoor Environments

    PubMed Central

    Jiang, Yanhua; Xiong, Guangming; Chen, Huiyan; Lee, Dah-Jye

    2014-01-01

    This paper presents a monocular visual odometry algorithm that incorporates a wheeled vehicle model for ground vehicles. The main innovation of this algorithm is to use the single-track bicycle model to interpret the relationship between the yaw rate and side slip angle, which are the two most important parameters that describe the motion of a wheeled vehicle. Additionally, the pitch angle is also considered since the planar-motion hypothesis often fails due to the dynamic characteristics of wheel suspensions and tires in real-world environments. Linearization is used to calculate a closed-form solution of the motion parameters that works as a hypothesis generator in a RAndom SAmple Consensus (RANSAC) scheme to reduce the complexity in solving equations involving trigonometric. All inliers found are used to refine the winner solution through minimizing the reprojection error. Finally, the algorithm is applied to real-time on-board visual localization applications. Its performance is evaluated by comparing against the state-of-the-art monocular visual odometry methods using both synthetic data and publicly available datasets over several kilometers in dynamic outdoor environments. PMID:25256109

  4. Psychometric correlates of the effects of image-enhancing algorithms on visual performance

    NASA Astrophysics Data System (ADS)

    Reis, George A.; Neriani, Kelly E.; Pinkus, Alan R.; Heft, Eric L.

    2006-05-01

    Future military imaging devices will have computational capabilities that will allow agile, real-time image enhancement. In preparing for such devices, numerous image enhancement algorithms should be studied. However, these algorithms need evaluating in terms of human visual performance using military-relevant imagery. Evaluating these algorithms through objective performance measures requires extensive time and resources. We investigated several subjective methodologies for down-selecting algorithms to be studied in future research. Degraded imagery was processed using six algorithms and then ranked along with the original non-degraded and degraded imagery through the method of paired comparisons and the method of magnitude estimation, in terms of subjective attitude. These rankings were then compared to objective performance measures: reaction times and errors in finding targets in the processed imagery. In general, we found associations between subjective and objective measures. This leads us to believe that subjective assessment may provide an easy and fast way for down-selecting algorithms but at the same time should not be used in place of objective performance-based measures.

  5. DOE's SciDAC Visualization and Analytics Center for EnablingTechnologies -- Strategy for Petascale Visual Data Analysis Success

    SciTech Connect

    Bethel, E Wes; Johnson, Chris; Aragon, Cecilia; Rubel, Oliver; Weber, Gunther; Pascucci, Valerio; Childs, Hank; Bremer, Peer-Timo; Whitlock, Brad; Ahern, Sean; Meredith, Jeremey; Ostrouchov, George; Joy, Ken; Hamann, Bernd; Garth, Christoph; Cole, Martin; Hansen, Charles; Parker, Steven; Sanderson, Allen; Silva, Claudio; Tricoche, Xavier

    2007-10-01

    The focus of this article is on how one group of researchersthe DOE SciDAC Visualization and Analytics Center for EnablingTechnologies (VACET) is tackling the daunting task of enabling knowledgediscovery through visualization and analytics on some of the world slargest and most complex datasets and on some of the world's largestcomputational platforms. As a Center for Enabling Technology, VACET smission is the creation of usable, production-quality visualization andknowledge discovery software infrastructure that runs on large, parallelcomputer systems at DOE's Open Computing facilities and that providessolutions to challenging visual data exploration and knowledge discoveryneeds of modern science, particularly the DOE sciencecommunity.

  6. Spatial Information Processing: Standards-Based Open Source Visualization Technology

    NASA Astrophysics Data System (ADS)

    Hogan, P.

    2009-12-01

    . Spatial information intelligence is a global issue that will increasingly affect our ability to survive as a species. Collectively we must better appreciate the complex relationships that make life on Earth possible. Providing spatial information in its native context can accelerate our ability to process that information. To maximize this ability to process information, three basic elements are required: data delivery (server technology), data access (client technology), and data processing (information intelligence). NASA World Wind provides open source client and server technologies based on open standards. The possibilities for data processing and data sharing are enhanced by this inclusive infrastructure for geographic information. It is interesting that this open source and open standards approach, unfettered by proprietary constraints, simultaneously provides for entirely proprietary use of this same technology. 1. WHY WORLD WIND? NASA World Wind began as a single program with specific functionality, to deliver NASA content. But as the possibilities for virtual globe technology became more apparent, we found that while enabling a new class of information technology, we were also getting in the way. Researchers, developers and even users expressed their desire for World Wind functionality in ways that would service their specific needs. They want it in their web pages. They want to add their own features. They want to manage their own data. They told us that only with this kind of flexibility, could their objectives and the potential for this technology be truly realized. World Wind client technology is a set of development tools, a software development kit (SDK) that allows a software engineer to create applications requiring geographic visualization technology. 2. MODULAR COMPONENTRY Accelerated evolution of a technology requires that the essential elements of that technology be modular components such that each can advance independent of the other

  7. Creation of an Accurate Algorithm to Detect Snellen Best Documented Visual Acuity from Ophthalmology Electronic Health Record Notes

    PubMed Central

    French, Dustin D; Gill, Manjot; Mitchell, Christopher; Jackson, Kathryn; Kho, Abel; Bryar, Paul J

    2016-01-01

    Background Visual acuity is the primary measure used in ophthalmology to determine how well a patient can see. Visual acuity for a single eye may be recorded in multiple ways for a single patient visit (eg, Snellen vs. Jäger units vs. font print size), and be recorded for either distance or near vision. Capturing the best documented visual acuity (BDVA) of each eye in an individual patient visit is an important step for making electronic ophthalmology clinical notes useful in research. Objective Currently, there is limited methodology for capturing BDVA in an efficient and accurate manner from electronic health record (EHR) notes. We developed an algorithm to detect BDVA for right and left eyes from defined fields within electronic ophthalmology clinical notes. Methods We designed an algorithm to detect the BDVA from defined fields within 295,218 ophthalmology clinical notes with visual acuity data present. About 5668 unique responses were identified and an algorithm was developed to map all of the unique responses to a structured list of Snellen visual acuities. Results Visual acuity was captured from a total of 295,218 ophthalmology clinical notes during the study dates. The algorithm identified all visual acuities in the defined visual acuity section for each eye and returned a single BDVA for each eye. A clinician chart review of 100 random patient notes showed a 99% accuracy detecting BDVA from these records and 1% observed error. Conclusions Our algorithm successfully captures best documented Snellen distance visual acuity from ophthalmology clinical notes and transforms a variety of inputs into a structured Snellen equivalent list. Our work, to the best of our knowledge, represents the first attempt at capturing visual acuity accurately from large numbers of electronic ophthalmology notes. Use of this algorithm can benefit research groups interested in assessing visual acuity for patient centered outcome. All codes used for this study are currently

  8. An on-line calibration algorithm for external parameters of visual system based on binocular stereo cameras

    NASA Astrophysics Data System (ADS)

    Wang, Liqiang; Liu, Zhen; Zhang, Zhonghua

    2014-11-01

    Stereo vision is the key in the visual measurement, robot vision, and autonomous navigation. Before performing the system of stereo vision, it needs to calibrate the intrinsic parameters for each camera and the external parameters of the system. In engineering, the intrinsic parameters remain unchanged after calibrating cameras, and the positional relationship between the cameras could be changed because of vibration, knocks and pressures in the vicinity of the railway or motor workshops. Especially for large baselines, even minute changes in translation or rotation can affect the epipolar geometry and scene triangulation to such a degree that visual system becomes disabled. A technology including both real-time examination and on-line recalibration for the external parameters of stereo system becomes particularly important. This paper presents an on-line method for checking and recalibrating the positional relationship between stereo cameras. In epipolar geometry, the external parameters of cameras can be obtained by factorization of the fundamental matrix. Thus, it offers a method to calculate the external camera parameters without any special targets. If the intrinsic camera parameters are known, the external parameters of system can be calculated via a number of random matched points. The process is: (i) estimating the fundamental matrix via the feature point correspondences; (ii) computing the essential matrix from the fundamental matrix; (iii) obtaining the external parameters by decomposition of the essential matrix. In the step of computing the fundamental matrix, the traditional methods are sensitive to noise and cannot ensure the estimation accuracy. We consider the feature distribution situation in the actual scene images and introduce a regional weighted normalization algorithm to improve accuracy of the fundamental matrix estimation. In contrast to traditional algorithms, experiments on simulated data prove that the method improves estimation

  9. Chaotic Visual Cryptosystem Using Empirical Mode Decomposition Algorithm for Clinical EEG Signals.

    PubMed

    Lin, Chin-Feng

    2016-03-01

    This paper, proposes a chaotic visual cryptosystem using an empirical mode decomposition (EMD) algorithm for clinical electroencephalography (EEG) signals. The basic design concept is to integrate two-dimensional (2D) chaos-based encryption scramblers, the EMD algorithm, and a 2D block interleaver method to achieve a robust and unpredictable visual encryption mechanism. Energy-intrinsic mode function (IMF) distribution features of the clinical EEG signal are developed for chaotic encryption parameters. The maximum and second maximum energy ratios of the IMFs of a clinical EEG signal to its refereed total energy are used for the starting points of chaotic logistic map types of encrypted chaotic signals in the x and y vectors, respectively. The minimum and second minimum energy ratios of the IMFs of a clinical EEG signal to its refereed total energy are used for the security level parameters of chaotic logistic map types of encrypted chaotic signals in the x and y vectors, respectively. Three EEG database, and seventeen clinical EEG signals were tested, and the average r and mse values are 0.0201 and 4.2626 × 10(-29), respectively, for the original and chaotically-encrypted through EMD clinical EEG signals. The chaotically-encrypted signal cannot be recovered if there is an error in the input parameters, for example, an initial point error of 0.000001 %. The encryption effects of the proposed chaotic EMD visual encryption mechanism are excellent.

  10. Assessing the GOANNA Visual Field Algorithm Using Artificial Scotoma Generation on Human Observers

    PubMed Central

    Chong, Luke X.; Turpin, Andrew; McKendrick, Allison M.

    2016-01-01

    Purpose To validate the performance of a new perimetric algorithm (Gradient-Oriented Automated Natural Neighbor Approach; GOANNA) in humans using a novel combination of computer simulation and human testing, which we call Artificial Scotoma Generation (ASG). Methods Fifteen healthy observers were recruited. Baseline conventional automated perimetry was performed on the Octopus 900. Visual field sensitivity was measured using two different procedures: GOANNA and Zippy Estimation by Sequential Testing (ZEST). Four different scotoma types were induced in each observer by implementing a novel technique that inserts a step between the algorithm and the perimeter, which in turn alters presentation levels to simulate scotomata in human observers. Accuracy, precision, and unique number of locations tested were measured, with the maximum difference between a location and its neighbors (Max_d) used to stratify results. Results GOANNA sampled significantly more locations than ZEST (paired t-test, P < 0.001), while maintaining comparable test times. Difference plots showed that GOANNA displayed greater accuracy than ZEST when Max_d was in the 10 to 30 dB range (with the exception of Max_d = 20 dB; Wilcoxon, P < 0.001). Similarly, GOANNA demonstrated greater precision than ZEST when Max_d was in the 20 to 30 dB range (Wilcoxon, P < 0.001). Conclusions We have introduced a novel method for assessing accuracy of perimetric algorithms in human observers. Results observed in the current study agreed with the results seen in earlier simulation studies, and thus provide support for performing larger scale clinical trials with GOANNA in the future. Translational Relevance The GOANNA perimetric testing algorithm offers a new paradigm for visual field testing where locations for testing are chosen that target scotoma borders. Further, the ASG methodology used in this paper to assess GOANNA shows promise as a hybrid between computer simulation and patient testing, which may allow more

  11. Assessing the GOANNA Visual Field Algorithm Using Artificial Scotoma Generation on Human Observers

    PubMed Central

    Chong, Luke X.; Turpin, Andrew; McKendrick, Allison M.

    2016-01-01

    Purpose To validate the performance of a new perimetric algorithm (Gradient-Oriented Automated Natural Neighbor Approach; GOANNA) in humans using a novel combination of computer simulation and human testing, which we call Artificial Scotoma Generation (ASG). Methods Fifteen healthy observers were recruited. Baseline conventional automated perimetry was performed on the Octopus 900. Visual field sensitivity was measured using two different procedures: GOANNA and Zippy Estimation by Sequential Testing (ZEST). Four different scotoma types were induced in each observer by implementing a novel technique that inserts a step between the algorithm and the perimeter, which in turn alters presentation levels to simulate scotomata in human observers. Accuracy, precision, and unique number of locations tested were measured, with the maximum difference between a location and its neighbors (Max_d) used to stratify results. Results GOANNA sampled significantly more locations than ZEST (paired t-test, P < 0.001), while maintaining comparable test times. Difference plots showed that GOANNA displayed greater accuracy than ZEST when Max_d was in the 10 to 30 dB range (with the exception of Max_d = 20 dB; Wilcoxon, P < 0.001). Similarly, GOANNA demonstrated greater precision than ZEST when Max_d was in the 20 to 30 dB range (Wilcoxon, P < 0.001). Conclusions We have introduced a novel method for assessing accuracy of perimetric algorithms in human observers. Results observed in the current study agreed with the results seen in earlier simulation studies, and thus provide support for performing larger scale clinical trials with GOANNA in the future. Translational Relevance The GOANNA perimetric testing algorithm offers a new paradigm for visual field testing where locations for testing are chosen that target scotoma borders. Further, the ASG methodology used in this paper to assess GOANNA shows promise as a hybrid between computer simulation and patient testing, which may allow more

  12. [Study on Visual Identification of Corn Seeds Based on Hyperspectral Imaging Technology].

    PubMed

    Wu, Xiang; Zhang, Wei-zheng; Lu, Jiang-feng; Qiu, Zheng-jun; He, Yong

    2016-02-01

    The seed purity is an important indicator of seed quality. The paper proposes a visual identification method of corn seed based on the near-infrared (874~1,734 nm) hyperspectral image technology. Hyperspectral image data of 4 cultivars of a total of 384 corn seed samples will be acquired. Then 288 of samples are to be selected randomly as the calibration set, and the remaining 96 samples will be used for the prediction set. After inspection of the near-infrared spectral curves, 7 effective wavelengths (EWs) are to be selected by successive projection algorithm (SPA). And then 7 EWs of the calibration set will be used as input to build a partial least squares (PLS) model. Good results are to be obtained with Rc = 0.917 7, RMSECV = 0.444 2; Rcv = 0.911 5, RMSECV = 0.459 9. And the total identification rate of the developed PLS model will be 78.5% for the calibration set and 70.8% for the prediction set. Finally, average spectral data of each corn seed in a hyperspectral image will be extracted by image process technology, and used as input of the developed SPA-PLS model. In the produced identification map, different colors are to be used to represent different predicted cultivars. 3 mixture samples of corn seeds will be identified, and help to achieve satisfied visual effects. The result indicates that, by means of the visual identification technology we could intuitively observe the distribution of corn seeds of different cultivars in mixture samples. The research provides help for the identification and screening of seeds in agricultural production. PMID:27209759

  13. [Study on Visual Identification of Corn Seeds Based on Hyperspectral Imaging Technology].

    PubMed

    Wu, Xiang; Zhang, Wei-zheng; Lu, Jiang-feng; Qiu, Zheng-jun; He, Yong

    2016-02-01

    The seed purity is an important indicator of seed quality. The paper proposes a visual identification method of corn seed based on the near-infrared (874~1,734 nm) hyperspectral image technology. Hyperspectral image data of 4 cultivars of a total of 384 corn seed samples will be acquired. Then 288 of samples are to be selected randomly as the calibration set, and the remaining 96 samples will be used for the prediction set. After inspection of the near-infrared spectral curves, 7 effective wavelengths (EWs) are to be selected by successive projection algorithm (SPA). And then 7 EWs of the calibration set will be used as input to build a partial least squares (PLS) model. Good results are to be obtained with Rc = 0.917 7, RMSECV = 0.444 2; Rcv = 0.911 5, RMSECV = 0.459 9. And the total identification rate of the developed PLS model will be 78.5% for the calibration set and 70.8% for the prediction set. Finally, average spectral data of each corn seed in a hyperspectral image will be extracted by image process technology, and used as input of the developed SPA-PLS model. In the produced identification map, different colors are to be used to represent different predicted cultivars. 3 mixture samples of corn seeds will be identified, and help to achieve satisfied visual effects. The result indicates that, by means of the visual identification technology we could intuitively observe the distribution of corn seeds of different cultivars in mixture samples. The research provides help for the identification and screening of seeds in agricultural production.

  14. Autonomous Visual Navigation of an Indoor Environment Using a Parsimonious, Insect Inspired Familiarity Algorithm

    PubMed Central

    Brayfield, Brad P.

    2016-01-01

    The navigation of bees and ants from hive to food and back has captivated people for more than a century. Recently, the Navigation by Scene Familiarity Hypothesis (NSFH) has been proposed as a parsimonious approach that is congruent with the limited neural elements of these insects’ brains. In the NSFH approach, an agent completes an initial training excursion, storing images along the way. To retrace the path, the agent scans the area and compares the current scenes to those previously experienced. By turning and moving to minimize the pixel-by-pixel differences between encountered and stored scenes, the agent is guided along the path without having memorized the sequence. An important premise of the NSFH is that the visual information of the environment is adequate to guide navigation without aliasing. Here we demonstrate that an image landscape of an indoor setting possesses ample navigational information. We produced a visual landscape of our laboratory and part of the adjoining corridor consisting of 2816 panoramic snapshots arranged in a grid at 12.7-cm centers. We show that pixel-by-pixel comparisons of these images yield robust translational and rotational visual information. We also produced a simple algorithm that tracks previously experienced routes within our lab based on an insect-inspired scene familiarity approach and demonstrate that adequate visual information exists for an agent to retrace complex training routes, including those where the path’s end is not visible from its origin. We used this landscape to systematically test the interplay of sensor morphology, angles of inspection, and similarity threshold with the recapitulation performance of the agent. Finally, we compared the relative information content and chance of aliasing within our visually rich laboratory landscape to scenes acquired from indoor corridors with more repetitive scenery. PMID:27119720

  15. A rib-specific multimodal registration algorithm for fused unfolded rib visualization using PET/CT

    NASA Astrophysics Data System (ADS)

    Kaftan, Jens N.; Kopaczka, Marcin; Wimmer, Andreas; Platsch, Günther; Declerck, Jérôme

    2014-03-01

    Respiratory motion affects the alignment of PET and CT volumes from PET/CT examinations in a non-rigid manner. This becomes particularly apparent if reviewing fine anatomical structures such as ribs when assessing bone metastases, which frequently occur in many advanced cancers. To make this routine diagnostic task more efficient, a fused unfolded rib visualization for 18F-NaF PET/CT is presented. It allows to review the whole rib cage in a single image. This advanced visualization is enabled by a novel rib-specific registration algorithm that rigidly optimizes the local alignment of each individual rib in both modalities based on a matched filter response function. More specifically, rib centerlines are automatically extracted from CT and subsequently individually aligned to the corresponding bone-specific PET rib uptake pattern. The proposed method has been validated on 20 PET/CT scans acquired at different clinical sites. It has been demonstrated that the presented rib- specific registration method significantly improves the rib alignment without having to run complex deformable registration algorithms. At the same time, it guarantees that rib lesions are not further deformed, which may otherwise affect quantitative measurements such as SUVs. Considering clinically relevant distance thresholds, the centerline portion with good alignment compared to the ground truth improved from 60:6% to 86:7% after registration while approximately 98% can be still considered as acceptably aligned.

  16. A novel color image compression algorithm using the human visual contrast sensitivity characteristics

    NASA Astrophysics Data System (ADS)

    Yao, Juncai; Liu, Guizhong

    2016-07-01

    In order to achieve higher image compression ratio and improve visual perception of the decompressed image, a novel color image compression scheme based on the contrast sensitivity characteristics of the human visual system (HVS) is proposed. In the proposed scheme, firstly the image is converted into the YCrCb color space and divided into sub-blocks. Afterwards, the discrete cosine transform is carried out for each sub-block, and three quantization matrices are built to quantize the frequency spectrum coefficients of the images by combining the contrast sensitivity characteristics of HVS. The Huffman algorithm is used to encode the quantized data. The inverse process involves decompression and matching to reconstruct the decompressed color image. And simulations are carried out for two color images. The results show that the average structural similarity index measurement (SSIM) and peak signal to noise ratio (PSNR) under the approximate compression ratio could be increased by 2.78% and 5.48%, respectively, compared with the joint photographic experts group (JPEG) compression. The results indicate that the proposed compression algorithm in the text is feasible and effective to achieve higher compression ratio under ensuring the encoding and image quality, which can fully meet the needs of storage and transmission of color images in daily life.

  17. A Gaze-Driven Evolutionary Algorithm to Study Aesthetic Evaluation of Visual Symmetry.

    PubMed

    Makin, Alexis D J; Bertamini, Marco; Jones, Andrew; Holmes, Tim; Zanker, Johannes M

    2016-03-01

    Empirical work has shown that people like visual symmetry. We used a gaze-driven evolutionary algorithm technique to answer three questions about symmetry preference. First, do people automatically evaluate symmetry without explicit instruction? Second, is perfect symmetry the best stimulus, or do people prefer a degree of imperfection? Third, does initial preference for symmetry diminish after familiarity sets in? Stimuli were generated as phenotypes from an algorithmic genotype, with genes for symmetry (coded as deviation from a symmetrical template, deviation-symmetry, DS gene) and orientation (0° to 90°, orientation, ORI gene). An eye tracker identified phenotypes that were good at attracting and retaining the gaze of the observer. Resulting fitness scores determined the genotypes that passed to the next generation. We recorded changes to the distribution of DS and ORI genes over 20 generations. When participants looked for symmetry, there was an increase in high-symmetry genes. When participants looked for the patterns they preferred, there was a smaller increase in symmetry, indicating that people tolerated some imperfection. Conversely, there was no increase in symmetry during free viewing, and no effect of familiarity or orientation. This work demonstrates the viability of the evolutionary algorithm approach as a quantitative measure of aesthetic preference.

  18. A Gaze-Driven Evolutionary Algorithm to Study Aesthetic Evaluation of Visual Symmetry

    PubMed Central

    Bertamini, Marco; Jones, Andrew; Holmes, Tim; Zanker, Johannes M.

    2016-01-01

    Empirical work has shown that people like visual symmetry. We used a gaze-driven evolutionary algorithm technique to answer three questions about symmetry preference. First, do people automatically evaluate symmetry without explicit instruction? Second, is perfect symmetry the best stimulus, or do people prefer a degree of imperfection? Third, does initial preference for symmetry diminish after familiarity sets in? Stimuli were generated as phenotypes from an algorithmic genotype, with genes for symmetry (coded as deviation from a symmetrical template, deviation–symmetry, DS gene) and orientation (0° to 90°, orientation, ORI gene). An eye tracker identified phenotypes that were good at attracting and retaining the gaze of the observer. Resulting fitness scores determined the genotypes that passed to the next generation. We recorded changes to the distribution of DS and ORI genes over 20 generations. When participants looked for symmetry, there was an increase in high-symmetry genes. When participants looked for the patterns they preferred, there was a smaller increase in symmetry, indicating that people tolerated some imperfection. Conversely, there was no increase in symmetry during free viewing, and no effect of familiarity or orientation. This work demonstrates the viability of the evolutionary algorithm approach as a quantitative measure of aesthetic preference. PMID:27433324

  19. A Gaze-Driven Evolutionary Algorithm to Study Aesthetic Evaluation of Visual Symmetry.

    PubMed

    Makin, Alexis D J; Bertamini, Marco; Jones, Andrew; Holmes, Tim; Zanker, Johannes M

    2016-03-01

    Empirical work has shown that people like visual symmetry. We used a gaze-driven evolutionary algorithm technique to answer three questions about symmetry preference. First, do people automatically evaluate symmetry without explicit instruction? Second, is perfect symmetry the best stimulus, or do people prefer a degree of imperfection? Third, does initial preference for symmetry diminish after familiarity sets in? Stimuli were generated as phenotypes from an algorithmic genotype, with genes for symmetry (coded as deviation from a symmetrical template, deviation-symmetry, DS gene) and orientation (0° to 90°, orientation, ORI gene). An eye tracker identified phenotypes that were good at attracting and retaining the gaze of the observer. Resulting fitness scores determined the genotypes that passed to the next generation. We recorded changes to the distribution of DS and ORI genes over 20 generations. When participants looked for symmetry, there was an increase in high-symmetry genes. When participants looked for the patterns they preferred, there was a smaller increase in symmetry, indicating that people tolerated some imperfection. Conversely, there was no increase in symmetry during free viewing, and no effect of familiarity or orientation. This work demonstrates the viability of the evolutionary algorithm approach as a quantitative measure of aesthetic preference. PMID:27433324

  20. A FragTrack algorithm enhancement for total occlusion management in visual object tracking

    NASA Astrophysics Data System (ADS)

    Adamo, F.; Mazzeo, P. L.; Spagnolo, P.; Distante, C.

    2015-05-01

    In recent years, "FragTrack" has become one of the most cited real time algorithms for visual tracking of an object in a video sequence. However, this algorithm fails when the object model is not present in the image or it is completely occluded, and in long term video sequences. In these sequences, the target object appearance is considerably modified during the time and its comparison with the template established at the first frame is hard to compute. In this work we introduce improvements to the original FragTrack: the management of total object occlusions and the update of the object template. Basically, we use a voting map generated by a non-parametric kernel density estimation strategy that allows us to compute a probability distribution for the distances of the histograms between template and object patches. In order to automatically determine whether the target object is present or not in the current frame, an adaptive threshold is introduced. A Bayesian classifier establishes, frame by frame, the presence of template object in the current frame. The template is partially updated at every frame. We tested the algorithm on well-known benchmark sequences, in which the object is always present, and on video sequences showing total occlusion of the target object to demonstrate the effectiveness of the proposed method.

  1. Infrastructure for Scalable and Interoperable Visualization and Analysis Software Technology

    SciTech Connect

    Bethel, E. Wes

    2004-08-01

    This document describes the LBNL vision for issues to be considered when assembling a large, multi-institution visualization and analysis effort. It was drafted at the request of the PNNL National Visual Analytics Center in July 2004.

  2. Assistive Technology Competencies of Teachers of Students with Visual Impairments: A Comparison of Perceptions

    ERIC Educational Resources Information Center

    Zhou, Li; Smith, Derrick W.; Parker, Amy T.; Griffin-Shirley, Nora

    2011-01-01

    This study surveyed teachers of students with visual impairments in Texas on their perceptions of a set of assistive technology competencies developed for teachers of students with visual impairments by Smith and colleagues (2009). Differences in opinion between practicing teachers of students with visual impairments and Smith's group of…

  3. Fast algorithms for visualizing fluid motion in steady flow on unstructured grids

    NASA Technical Reports Server (NTRS)

    Ueng, S. K.; Sikorski, K.; Ma, Kwan-Liu

    1995-01-01

    The plotting of streamlines is an effective way of visualizing fluid motion in steady flows. Additional information about the flowfield, such as local rotation and expansion, can be shown by drawing in the form of a ribbon or tube. In this paper, we present efficient algorithms for the construction of streamlines, streamribbons and streamtubes on unstructured grids. A specialized version of the Runge-Kutta method has been developed to speed up the integration of particle paths. We have also derived closed-form solutions for calculating angular rotation rate and radius to construct streamribbons and streamtubes, respectively. According to our analysis and test results, these formulations are two to four times better in performance than previous numerical methods. As a large number of traces are calculated, the improved performance could be significant.

  4. An Efficient Algorithm Embedded in an Ultrasonic Visualization Technique for Damage Inspection Using the AE Sensor Excitation Method

    PubMed Central

    Liu, Yaolu; Goda, Riu; Samata, Kiyoshi; Kanda, Atsushi; Hu, Ning; Zhang, Jianyu; Ning, Huiming; Wu, Liangke

    2014-01-01

    To improve the reliability of a Lamb wave visualization technique and to obtain more information about structural damages (e.g., size and shape), we put forward a new signal processing algorithm to identify damage more clearly in an inspection region. Since the kinetic energy of material particles in a damaged area would suddenly change when ultrasonic waves encounter the damage, the new algorithm embedded in the wave visualization technique is aimed at monitoring the kinetic energy variations of all points in an inspection region to construct a damage diagnostic image. To validate the new algorithm, three kinds of surface damages on the center of aluminum plates, including two non-penetrative slits with different depths and a circular dent, were experimentally inspected. From the experimental results, it can be found that the new algorithm can remarkably enhance the quality of the diagnostic image, especially for some minor defects. PMID:25356647

  5. Visual Sensor Technology for Advanced Surveillance Systems: Historical View, Technological Aspects and Research Activities in Italy

    PubMed Central

    Foresti, Gian Luca; Micheloni, Christian; Piciarelli, Claudio; Snidaro, Lauro

    2009-01-01

    The paper is a survey of the main technological aspects of advanced visual-based surveillance systems. A brief historical view of such systems from the origins to nowadays is given together with a short description of the main research projects in Italy on surveillance applications in the last twenty years. The paper then describes the main characteristics of an advanced visual sensor network that (a) directly processes locally acquired digital data, (b) automatically modifies intrinsic (focus, iris) and extrinsic (pan, tilt, zoom) parameters to increase the quality of acquired data and (c) automatically selects the best subset of sensors in order to monitor a given moving object in the observed environment. PMID:22574011

  6. Rolling ball sifting algorithm for the augmented visual inspection of carotid bruit auscultation.

    PubMed

    Huang, Adam; Lee, Chung-Wei; Liu, Hon-Man

    2016-01-01

    Carotid bruits are systolic sounds associated with turbulent blood flow through atherosclerotic stenosis in the neck. They are audible intermittent high-frequency (above 200 Hz) sounds mixed with background noise and transmitted low-frequency (below 100 Hz) heart sounds that wax and wane periodically. It is a nontrivial task to extract both bruits and heart sounds with high fidelity for further computer-aided auscultation and diagnosis. In this paper we propose a rolling ball sifting algorithm that is capable to filter signals with a sharper frequency selectivity mechanism in the time domain. By rolling two balls (one above and one below the signal) of a suitable radius, the balls are large enough to roll over bruits and yet small enough to ride on heart sound waveforms. The high-frequency bruits can then be extracted according to a tangibility criterion by using the local extrema touched by the balls. Similarly, the low-frequency heart sounds can be acquired by a larger radius. By visualizing the periodicity information of both the extracted heart sounds and bruits, the proposed visual inspection method can potentially improve carotid bruit diagnosis accuracy. PMID:27452722

  7. Rolling ball sifting algorithm for the augmented visual inspection of carotid bruit auscultation

    PubMed Central

    Huang, Adam; Lee, Chung-Wei; Liu, Hon-Man

    2016-01-01

    Carotid bruits are systolic sounds associated with turbulent blood flow through atherosclerotic stenosis in the neck. They are audible intermittent high-frequency (above 200 Hz) sounds mixed with background noise and transmitted low-frequency (below 100 Hz) heart sounds that wax and wane periodically. It is a nontrivial task to extract both bruits and heart sounds with high fidelity for further computer-aided auscultation and diagnosis. In this paper we propose a rolling ball sifting algorithm that is capable to filter signals with a sharper frequency selectivity mechanism in the time domain. By rolling two balls (one above and one below the signal) of a suitable radius, the balls are large enough to roll over bruits and yet small enough to ride on heart sound waveforms. The high-frequency bruits can then be extracted according to a tangibility criterion by using the local extrema touched by the balls. Similarly, the low-frequency heart sounds can be acquired by a larger radius. By visualizing the periodicity information of both the extracted heart sounds and bruits, the proposed visual inspection method can potentially improve carotid bruit diagnosis accuracy. PMID:27452722

  8. 77 FR 5291 - Thermo Tech Technologies Inc., T.V.G. Technologies Ltd., and Visual Frontier, Inc.; Order of...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-02-02

    ... From the Federal Register Online via the Government Publishing Office ] SECURITIES AND EXCHANGE COMMISSION Thermo Tech Technologies Inc., T.V.G. Technologies Ltd., and Visual Frontier, Inc.; Order of... securities of T.V.G. Technologies Ltd. because it has not filed any periodic reports since the period...

  9. Assistive Technologies for Library Patrons with Visual Disabilities

    ERIC Educational Resources Information Center

    Sunrich, Matthew; Green, Ravonne

    2007-01-01

    This study provides an overview of the various products available for library patrons with blindness or visual impairments. To provide some insight into the status of library services for patrons with blindness, a sample of American universities that are recognized for their programs for students with visual impairments was surveyed to discern…

  10. Computer Modeling and Visualization in Design Technology: An Instructional Model.

    ERIC Educational Resources Information Center

    Guidera, Stan

    2002-01-01

    Design visualization can increase awareness of issues related to perceptual and psychological aspects of design that computer-assisted design and computer modeling may not allow. A pilot university course developed core skills in modeling and simulation using visualization. Students were consistently able to meet course objectives. (Contains 16…

  11. A multilevel layout algorithm for visualizing physical and genetic interaction networks, with emphasis on their modular organization

    PubMed Central

    2012-01-01

    Background Graph drawing is an integral part of many systems biology studies, enabling visual exploration and mining of large-scale biological networks. While a number of layout algorithms are available in popular network analysis platforms, such as Cytoscape, it remains poorly understood how well their solutions reflect the underlying biological processes that give rise to the network connectivity structure. Moreover, visualizations obtained using conventional layout algorithms, such as those based on the force-directed drawing approach, may become uninformative when applied to larger networks with dense or clustered connectivity structure. Methods We implemented a modified layout plug-in, named Multilevel Layout, which applies the conventional layout algorithms within a multilevel optimization framework to better capture the hierarchical modularity of many biological networks. Using a wide variety of real life biological networks, we carried out a systematic evaluation of the method in comparison with other layout algorithms in Cytoscape. Results The multilevel approach provided both biologically relevant and visually pleasant layout solutions in most network types, hence complementing the layout options available in Cytoscape. In particular, it could improve drawing of large-scale networks of yeast genetic interactions and human physical interactions. In more general terms, the biological evaluation framework developed here enables one to assess the layout solutions from any existing or future graph drawing algorithm as well as to optimize their performance for a given network type or structure. Conclusions By making use of the multilevel modular organization when visualizing biological networks, together with the biological evaluation of the layout solutions, one can generate convenient visualizations for many network biology applications. PMID:22448851

  12. Integrating advanced visualization technology into the planetary Geoscience workflow

    NASA Astrophysics Data System (ADS)

    Huffman, John; Forsberg, Andrew; Loomis, Andrew; Head, James; Dickson, James; Fassett, Caleb

    2011-09-01

    Recent advances in computer visualization have allowed us to develop new tools for analyzing the data gathered during planetary missions, which is important, since these data sets have grown exponentially in recent years to tens of terabytes in size. As part of the Advanced Visualization in Solar System Exploration and Research (ADVISER) project, we utilize several advanced visualization techniques created specifically with planetary image data in mind. The Geoviewer application allows real-time active stereo display of images, which in aggregate have billions of pixels. The ADVISER desktop application platform allows fast three-dimensional visualization of planetary images overlain on digital terrain models. Both applications include tools for easy data ingest and real-time analysis in a programmatic manner. Incorporation of these tools into our everyday scientific workflow has proved important for scientific analysis, discussion, and publication, and enabled effective and exciting educational activities for students from high school through graduate school.

  13. Assistive Technology Approaches for Large-Scale Assessment: Perceptions of Teachers of Students with Visual Impairments

    ERIC Educational Resources Information Center

    Johnstone, Christopher; Thurlow, Martha; Altman, Jason; Timmons, Joe; Kato, Kentaro

    2009-01-01

    Assistive technology approaches to aid students with visual impairments are becoming commonplace in schools. These approaches, however, present challenges for assessment because students' level of access to different technologies may vary by school district and state. To better understand what assistive technology tools are used in reading…

  14. Assessment of Indoor Route-finding Technology for People with Visual Impairment.

    PubMed

    Kalia, Amy A; Legge, Gordon E; Roy, Rudrava; Ogale, Advait

    2010-03-01

    This study investigated navigation with route instructions generated by digital-map software and synthetic speech. Participants, either visually impaired or sighted wearing blind folds, successfully located rooms in an unfamiliar building. Users with visual impairment demonstrated better route-finding performance when the technology provided distance information in number of steps rather than walking time or number of feet. PMID:21869851

  15. Assessment of Indoor Route-Finding Technology for People Who Are Visually Impaired

    ERIC Educational Resources Information Center

    Kalia, Amy A.; Legge, Gordon E.; Roy, Rudrava; Ogale, Advait

    2010-01-01

    This study investigated navigation with route instructions generated by digital-map software and synthetic speech. The participants, either visually impaired or sighted wearing blindfolds, successfully located rooms in an unfamiliar building. Users with visual impairments demonstrated better route-finding performance when the technology provided…

  16. Improving chemical mapping algorithm and visualization in full-field hard x-ray spectroscopic imaging

    NASA Astrophysics Data System (ADS)

    Chang, Cheng; Xu, Wei; Chen-Wiegart, Yu-chen Karen; Wang, Jun; Yu, Dantong

    2013-12-01

    X-ray Absorption Near Edge Structure (XANES) imaging, an advanced absorption spectroscopy technique, at the Transmission X-ray Microscopy (TXM) Beamline X8C of NSLS enables high-resolution chemical mapping (a.k.a. chemical composition identification or chemical spectra fitting). Two-Dimensional (2D) chemical mapping has been successfully applied to study many functional materials to decide the percentages of chemical components at each pixel position of the material images. In chemical mapping, the attenuation coefficient spectrum of the material (sample) can be fitted with the weighted sum of standard spectra of individual chemical compositions, where the weights are the percentages to be calculated. In this paper, we first implemented and compared two fitting approaches: (i) a brute force enumeration method, and (ii) a constrained least square minimization algorithm proposed by us. Next, as 2D spectra fitting can be conducted pixel by pixel, so theoretically, both methods can be implemented in parallel. In order to demonstrate the feasibility of parallel computing in the chemical mapping problem and investigate how much efficiency improvement can be achieved, we used the second approach as an example and implemented a parallel version for a multi-core computer cluster. Finally we used a novel way to visualize the calculated chemical compositions, by which domain scientists could grasp the percentage difference easily without looking into the real data.

  17. Superior visual performance in nocturnal insects: neural principles and bio-inspired technologies

    NASA Astrophysics Data System (ADS)

    Warrant, Eric J.

    2016-04-01

    At night, our visual capacities are severely reduced, with a complete loss in our ability to see colour and a dramatic loss in our ability to see fine spatial and temporal details. This is not the case for many nocturnal animals, notably insects. Our recent work, particularly on fast-flying moths and bees and on ball-rolling dung beetles, has shown that nocturnal animals are able to distinguish colours, to detect faint movements, to learn visual landmarks, to orient to the faint pattern of polarised light produced by the moon and to navigate using the stars. These impressive visual abilities are the result of exquisitely adapted eyes and visual systems, the product of millions of years of evolution. Nocturnal animals typically have highly sensitive eye designs and visual neural circuitry that is optimised for extracting reliable information from dim and noisy visual images. Even though we are only at the threshold of understanding the neural mechanisms responsible for reliable nocturnal vision, growing evidence suggests that the neural summation of photons in space and time is critically important: even though vision in dim light becomes necessarily coarser and slower, it also becomes significantly more reliable. We explored the benefits of spatiotemporal summation by creating a computer algorithm that mimicked nocturnal visual processing strategies. This algorithm dramatically increased the reliability of video collected in dim light, including the preservation of colour, strengthening evidence that summation strategies are essential for nocturnal vision.

  18. Automatic Tuning of a Retina Model for a Cortical Visual Neuroprosthesis Using a Multi-Objective Optimization Genetic Algorithm.

    PubMed

    Martínez-Álvarez, Antonio; Crespo-Cano, Rubén; Díaz-Tahoces, Ariadna; Cuenca-Asensi, Sergio; Ferrández Vicente, José Manuel; Fernández, Eduardo

    2016-11-01

    The retina is a very complex neural structure, which contains many different types of neurons interconnected with great precision, enabling sophisticated conditioning and coding of the visual information before it is passed via the optic nerve to higher visual centers. The encoding of visual information is one of the basic questions in visual and computational neuroscience and is also of seminal importance in the field of visual prostheses. In this framework, it is essential to have artificial retina systems to be able to function in a way as similar as possible to the biological retinas. This paper proposes an automatic evolutionary multi-objective strategy based on the NSGA-II algorithm for tuning retina models. Four metrics were adopted for guiding the algorithm in the search of those parameters that best approximate a synthetic retinal model output with real electrophysiological recordings. Results show that this procedure exhibits a high flexibility when different trade-offs has to be considered during the design of customized neuro prostheses.

  19. Automatic Tuning of a Retina Model for a Cortical Visual Neuroprosthesis Using a Multi-Objective Optimization Genetic Algorithm.

    PubMed

    Martínez-Álvarez, Antonio; Crespo-Cano, Rubén; Díaz-Tahoces, Ariadna; Cuenca-Asensi, Sergio; Ferrández Vicente, José Manuel; Fernández, Eduardo

    2016-11-01

    The retina is a very complex neural structure, which contains many different types of neurons interconnected with great precision, enabling sophisticated conditioning and coding of the visual information before it is passed via the optic nerve to higher visual centers. The encoding of visual information is one of the basic questions in visual and computational neuroscience and is also of seminal importance in the field of visual prostheses. In this framework, it is essential to have artificial retina systems to be able to function in a way as similar as possible to the biological retinas. This paper proposes an automatic evolutionary multi-objective strategy based on the NSGA-II algorithm for tuning retina models. Four metrics were adopted for guiding the algorithm in the search of those parameters that best approximate a synthetic retinal model output with real electrophysiological recordings. Results show that this procedure exhibits a high flexibility when different trade-offs has to be considered during the design of customized neuro prostheses. PMID:27354187

  20. POLYMERASE CHAIN REACTION (PCR) TECHNOLOGY IN VISUAL BEACH

    EPA Science Inventory

    In 2000, the US Congress passed the Beaches Environmental Assessment and Coastal Health Act under which the EPA has the mandate to manage all significant public beaches by 2008. As a result, EPA, USGS and NOAA are developing the Visual Beach program which consists of software eq...

  1. Audio Visual Technology and the Teaching of Foreign Languages.

    ERIC Educational Resources Information Center

    Halbig, Michael C.

    Skills in comprehending the spoken language source are becoming increasingly important due to the audio-visual orientation of our culture. It would seem natural, therefore, to adjust the learning goals and environment accordingly. The video-cassette machine is an ideal means for creating this learning environment and developing the listening…

  2. Sublingual vein extraction algorithm based on hyperspectral tongue imaging technology.

    PubMed

    Li, Qingli; Wang, Yiting; Liu, Hongying; Guan, Yana; Xu, Liang

    2011-04-01

    Among the parts of the human tongue surface, the sublingual vein is one of the most important ones which may have pathological relationship with some diseases. To analyze this information quantitatively, one primitive work is to extract sublingual veins accurately from tongue body. In this paper, a hyperspectral tongue imaging system instead of a digital camera is used to capture sublingual images. A hidden Markov model approach is presented to extract the sublingual veins from the hyperspectral sublingual images. This approach characterizes the spectral correlation and the band-to-band variability using a hidden Markov process, where the model parameters are estimated by the spectra of the pixel vectors forming the observation sequences. The proposed algorithm, the pixel-based sublingual vein segmentation algorithm, and the spectral angle mapper algorithm are tested on a total of 150 scenes of hyperspectral sublingual veins images to evaluate the performance of the new method. The experimental results demonstrate that the proposed algorithm can extract the sublingual veins more accurately than the traditional algorithms and can perform well even in a noisy environment. PMID:21030208

  3. VACET: Proposed SciDAC2 Visualization and Analytics Center forEnabling Technologies

    SciTech Connect

    Bethel, W.; Johnson, Chris; Hansen, Charles; Parker, Steve; Sanderson, Allen; Silva, Claudio; Tricoche, Xavier; Pascucci, Valerio; Childs, Hank; Cohen, Jonathon; Duchaineau, Mark; Laney, Dan; Lindstrom,Peter; Ahern, Sean; Meredith, Jeremy; Ostrouchov, George; Joy, Ken; Hamann, Bernd

    2006-06-19

    This paper accompanies a poster that is being presented atthe SciDAC 2006 meeting in Denver, CO. This project focuses on leveragingscientific visualization and analytics software technology as an enablingtechnology for increasing scientific productivity and insight. Advancesincomputational technology have resultedin an "information big bang,"which in turn has createda significant data understanding challenge. Thischallenge is widely acknowledged to be one of the primary bottlenecks incontemporary science. The vision for our Center is to respond directly tothat challenge by adapting, extending, creating when necessary anddeploying visualization and data understanding technologies for ourscience stakeholders. Using an organizational model as a Visualizationand Analytics Center for Enabling Technologies (VACET), we are wellpositioned to be responsive to the needs of a diverse set of scientificstakeholders in a coordinated fashion using a range of visualization,mathematics, statistics, computer and computational science and datamanagement technologies.

  4. Advanced image reconstruction and visualization algorithms for CERN ALICE high energy physics experiment

    NASA Astrophysics Data System (ADS)

    Myrcha, Julian; Rokita, Przemysław

    2015-09-01

    Visual data stereoscopic 3D reconstruction is an important challenge in the LHC ALICE detector experiment. Stereoscopic visualization of 3D data is also an important subject of photonics in general. In this paper we have proposed several solutions enabling effective perception based stereoscopic visualization of data provided by detectors in high energy physics experiments.

  5. School, Family and Other Influences on Assistive Technology Use: Access and Challenges for Students with Visual Impairment in Singapore

    ERIC Educational Resources Information Center

    Wong, Meng Ee; Cohen, Libby

    2011-01-01

    Assistive technologies are essential enablers for individuals with visual impairments, but although Singapore is technologically advanced, students with visual impairments are not yet full participants in this technological society. This study investigates the barriers and challenges to the use of assistive technologies by students with visual…

  6. The evolution of a visual-to-auditory sensory substitution device using interactive genetic algorithms.

    PubMed

    Wright, Thomas; Ward, Jamie

    2013-08-01

    Sensory substitution is a promising technique for mitigating the loss of a sensory modality. Sensory substitution devices (SSDs) work by converting information from the impaired sense (e.g., vision) into another, intact sense (e.g., audition). However, there are a potentially infinite number of ways of converting images into sounds, and it is important that the conversion takes into account the limits of human perception and other user-related factors (e.g., whether the sounds are pleasant to listen to). The device explored here is termed "polyglot" because it generates a very large set of solutions. Specifically, we adapt a procedure that has been in widespread use in the design of technology but has rarely been used as a tool to explore perception-namely, interactive genetic algorithms. In this procedure, a very large range of potential sensory substitution devices can be explored by creating a set of "genes" with different allelic variants (e.g., different ways of translating luminance into loudness). The most successful devices are then "bred" together, and we statistically explore the characteristics of the selected-for traits after multiple generations. The aim of the present study is to produce design guidelines for a better SSD. In three experiments, we vary the way that the fitness of the device is computed: by asking the user to rate the auditory aesthetics of different devices (Experiment 1), and by measuring the ability of participants to match sounds to images (Experiment 2) and the ability to perceptually discriminate between two sounds derived from similar images (Experiment 3). In each case, the traits selected for by the genetic algorithm represent the ideal SSD for that task. Taken together, these traits can guide the design of a better SSD. PMID:23298393

  7. Special purpose computer system for flow visualization using holography technology.

    PubMed

    Abe, Yukio; Masuda, Nobuyuki; Wakabayashi, Hideaki; Kazo, Yuta; Ito, Tomoyoshi; Satake, Shin-ichi; Kunugi, Tomoaki; Sato, Kazuho

    2008-05-26

    We have designed a special purpose computer system for visualizing fluid flow using digital holographic particle tracking velocimetry (DHPTV). This computer contains an Field Programmble Gate Array (FPGA) chip in which a pipeline for calculating the intensity of an object from a hologram by fast Fourier transform is installed. This system can produce 100 reconstructed images from a 1024 x 1024-grid hologram in 3.3 sec. It is expected that this system will contribute to fluid flow analysis.

  8. High End Visualization of Geophysical Datasets Using Immersive Technology: The SIO Visualization Center.

    NASA Astrophysics Data System (ADS)

    Newman, R. L.

    2002-12-01

    How many images can you display at one time with Power Point without getting "postage stamps"? Do you have fantastic datasets that you cannot view because your computer is too slow/small? Do you assume a few 2-D images of a 3-D picture are sufficient? High-end visualization centers can minimize and often eliminate these problems. The new visualization center [http://siovizcenter.ucsd.edu] at Scripps Institution of Oceanography [SIO] immerses users into a virtual world by projecting 3-D images onto a Panoram GVR-120E wall-sized floor-to-ceiling curved screen [7' x 23'] that has 3.2 mega-pixels of resolution. The Infinite Reality graphics subsystem is driven by a single-pipe SGI Onyx 3400 with a system bandwidth of 44 Gbps. The Onyx is powered by 16 MIPS R12K processors and 16 GB of addressable memory. The system is also equipped with transmitters and LCD shutter glasses which permit stereographic 3-D viewing of high-resolution images. This center is ideal for groups of up to 60 people who can simultaneously view these large-format images. A wide range of hardware and software is available, giving the users a totally immersive working environment in which to display, analyze, and discuss large datasets. The system enables simultaneous display of video and audio streams from sources such as SGI megadesktop and stereo megadesktop, S-VHS video, DVD video, and video from a Macintosh or PC. For instance, one-third of the screen might be displaying S-VHS video from a remotely-operated-vehicle [ROV], while the remaining portion of the screen might be used for an interactive 3-D flight over the same parcel of seafloor. The video and audio combinations using this system are numerous, allowing users to combine and explore data and images in innovative ways, greatly enhancing scientists' ability to visualize, understand and collaborate on complex datasets. In the not-distant future, with the rapid growth in networking speeds in the US, it will be possible for Earth Sciences

  9. Essays on Visual Representation Technology and Decision Making in Teams

    ERIC Educational Resources Information Center

    Peng, Chih-Hung

    2013-01-01

    Information technology has played several important roles in group decision making, such as communication support and decision support. Little is known about how information technology can be used to persuade members of a group to reach a consensus. In this dissertation, I aim to address the issues that are related to the role of visual…

  10. Electronic Media, Videodisc Technology, and the Visual Arts.

    ERIC Educational Resources Information Center

    Anderson, Frances E.

    1985-01-01

    The potential of electronic media for art education is examined. Discussed are computers, video recorders, interactive video discs, and two-way cable television. Emphasis is on laser videodisc technology. What changes must occur in the educational system to accommodate technology and discipline-based art education are also discussed. (Author/RM)

  11. Research on fast Fourier transforms algorithm of huge remote sensing image technology with GPU and partitioning technology.

    PubMed

    Yang, Xue; Li, Xue-You; Li, Jia-Guo; Ma, Jun; Zhang, Li; Yang, Jan; Du, Quan-Ye

    2014-02-01

    Fast Fourier transforms (FFT) is a basic approach to remote sensing image processing. With the improvement of capacity of remote sensing image capture with the features of hyperspectrum, high spatial resolution and high temporal resolution, how to use FFT technology to efficiently process huge remote sensing image becomes the critical step and research hot spot of current image processing technology. FFT algorithm, one of the basic algorithms of image processing, can be used for stripe noise removal, image compression, image registration, etc. in processing remote sensing image. CUFFT function library is the FFT algorithm library based on CPU and FFTW. FFTW is a FFT algorithm developed based on CPU in PC platform, and is currently the fastest CPU based FFT algorithm function library. However there is a common problem that once the available memory or memory is less than the capacity of image, there will be out of memory or memory overflow when using the above two methods to realize image FFT arithmetic. To address this problem, a CPU and partitioning technology based Huge Remote Fast Fourier Transform (HRFFT) algorithm is proposed in this paper. By improving the FFT algorithm in CUFFT function library, the problem of out of memory and memory overflow is solved. Moreover, this method is proved rational by experiment combined with the CCD image of HJ-1A satellite. When applied to practical image processing, it improves effect of the image processing, speeds up the processing, which saves the time of computation and achieves sound result.

  12. Assistive Technology for Students with Visual Impairments: Challenges and Needs in Teachers' Preparation Programs and Practice

    ERIC Educational Resources Information Center

    Zhou, Li; Parker, Amy T.; Smith, Derrick W.; Griffin-Shirley, Nora

    2011-01-01

    This article reports on a survey of 165 teachers of students with visual impairments in Texas to examine their perceptions of their knowledge of assistive technology. The results showed that they had significant deficits in knowledge in 55 (74.32%) of the 74 assistive technology competencies that were examined and that 57.5% of them lacked…

  13. Introduction of 3D Printing Technology in the Classroom for Visually Impaired Students

    ERIC Educational Resources Information Center

    Jo, Wonjin; I, Jang Hee; Harianto, Rachel Ananda; So, Ji Hyun; Lee, Hyebin; Lee, Heon Ju; Moon, Myoung-Woon

    2016-01-01

    The authors investigate how 3D printing technology could be utilized for instructional materials that allow visually impaired students to have full access to high-quality instruction in history class. Researchers from the 3D Printing Group of the Korea Institute of Science and Technology (KIST) provided the Seoul National School for the Blind with…

  14. Reflections of Teachers of Visually Impaired Students on Their Assistive Technology Competencies

    ERIC Educational Resources Information Center

    Ajuwon, Paul M.; Meeks, Melanie Kalene; Griffin-Shirley, Nora; Okungu, Phoebe A.

    2016-01-01

    Central to the issues of assistive technology utilization and competency is the need to understand how in-service and preservice teachers feel about their knowledge and skill levels. In order to identify teachers of students with visual impairments' perceptions of their mastery of assistive technology devices and services, two studies were…

  15. A Comparative Analysis of Spatial Visualization Ability and Drafting Models for Industrial and Technology Education Students

    ERIC Educational Resources Information Center

    Katsioloudis, Petros; Jovanovic, Vukica; Jones, Mildred

    2014-01-01

    The main purpose of this study was to determine significant positive effects among the use of three different types of drafting models, and to identify whether any differences exist towards promotion of spatial visualization ability for students in Industrial Technology and Technology Education courses. In particular, the study compared the use of…

  16. Application of Information Visualization Technologies in Masters' Experience Mining

    NASA Astrophysics Data System (ADS)

    Wuqi, Song; Jifa, Gu

    Experiences which belong to a kind of tacit knowledge were gradually summarized by the experts during their long working procedures. To analyze and inherit those experiences are worthwhile to the social construction and improvement. We build a platform composed of some visualization methods and analysis methods to present and analyze the data (from database, paper, web and etc.). So that students can intuitively understand the academic thinking of masters better than before. The platform has been applied in investigating the masters’ experiences of Traditional Chinese Medicine (TCM) and the positive results were also introduced.

  17. Research on algorithm for infrared hyperspectral imaging Fourier transform spectrometer technology

    NASA Astrophysics Data System (ADS)

    Wan, Lifang; Chen, Yan; Liao, Ningfang; Lv, Hang; He, Shufang; Li, Yasheng

    2015-08-01

    This paper reported the algorithm for Infrared Hyperspectral Imaging Radiometric Spectrometer Technology. Six different apodization functions are been used and compared, and the phase corrected technologies of Forman is researched and improved, fast fourier transform(FFT)is been used in this paper instead of the linear convolution to reduce the quantity of computation.The interferograms is achieved by the Infrared Hyperspectral Imaging Radiometric Spectrometer which are corrected and rebuilded by the improved algorithm, this algorithm reduce the noise and accelerate the computing speed with the higher accuracy of spectrometers.

  18. Vision technology/algorithms for space robotics applications

    NASA Technical Reports Server (NTRS)

    Krishen, Kumar; Defigueiredo, Rui J. P.

    1987-01-01

    The thrust of automation and robotics for space applications has been proposed for increased productivity, improved reliability, increased flexibility, higher safety, and for the performance of automating time-consuming tasks, increasing productivity/performance of crew-accomplished tasks, and performing tasks beyond the capability of the crew. This paper provides a review of efforts currently in progress in the area of robotic vision. Both systems and algorithms are discussed. The evolution of future vision/sensing is projected to include the fusion of multisensors ranging from microwave to optical with multimode capability to include position, attitude, recognition, and motion parameters. The key feature of the overall system design will be small size and weight, fast signal processing, robust algorithms, and accurate parameter determination. These aspects of vision/sensing are also discussed.

  19. Algorithm for automatic forced spirometry quality assessment: technological developments.

    PubMed

    Melia, Umberto; Burgos, Felip; Vallverdú, Montserrat; Velickovski, Filip; Lluch-Ariet, Magí; Roca, Josep; Caminal, Pere

    2014-01-01

    We hypothesized that the implementation of automatic real-time assessment of quality of forced spirometry (FS) may significantly enhance the potential for extensive deployment of a FS program in the community. Recent studies have demonstrated that the application of quality criteria defined by the ATS/ERS (American Thoracic Society/European Respiratory Society) in commercially available equipment with automatic quality assessment can be markedly improved. To this end, an algorithm for assessing quality of FS automatically was reported. The current research describes the mathematical developments of the algorithm. An innovative analysis of the shape of the spirometric curve, adding 23 new metrics to the traditional 4 recommended by ATS/ERS, was done. The algorithm was created through a two-step iterative process including: (1) an initial version using the standard FS curves recommended by the ATS; and, (2) a refined version using curves from patients. In each of these steps the results were assessed against one expert's opinion. Finally, an independent set of FS curves from 291 patients was used for validation purposes. The novel mathematical approach to characterize the FS curves led to appropriate FS classification with high specificity (95%) and sensitivity (96%). The results constitute the basis for a successful transfer of FS testing to non-specialized professionals in the community.

  20. Expansion of the visual angle of a car rear-view image via an image mosaic algorithm

    NASA Astrophysics Data System (ADS)

    Wu, Zhuangwen; Zhu, Liangrong; Sun, Xincheng

    2015-05-01

    The rear-view image system is one of the active safety devices in cars and is widely applied in all types of vehicles and traffic safety areas. However, studies made by both domestic and foreign researchers were based on a single image capture device while reversing, so a blind area still remained to drivers. Even if multiple cameras were used to expand the visual angle of the car's rear-view image in some studies, the blind area remained because different source images were not mosaicked together. To acquire an expanded visual angle of a car rear-view image, two charge-coupled device cameras with optical axes angled at 30 deg were mounted below the left and right fenders of a car in three light conditions-sunny outdoors, cloudy outdoors, and an underground garage-to capture rear-view heterologous images of the car. Then these rear-view heterologous images were rapidly registered through the scale invariant feature transform algorithm. Combined with the random sample consensus algorithm, the two heterologous images were finally mosaicked using the linear weighted gradated in-and-out fusion algorithm, and a seamless and visual-angle-expanded rear-view image was acquired. The four-index test results showed that the algorithms can mosaic rear-view images well in the underground garage condition, where the average rate of correct matching was the lowest among the three conditions. The rear-view image mosaic algorithm presented had the best information preservation, the shortest computation time and the most complete preservation of the image detail features compared to the mean value method (MVM) and segmental fusion method (SFM), and it was also able to perform better in real time and provided more comprehensive image details than MVM and SFM. In addition, it had the most complete image preservation from source images among the three algorithms. The method introduced by this paper provided the basis for researching the expansion of the visual angle of a car rear

  1. Better-Than-Visual Technologies for Next Generation Air Transportation System Terminal Maneuvering Area Operations

    NASA Technical Reports Server (NTRS)

    Prinzel, Lawrence J., III; Bailey, Randall E.; Shelton, Kevin J.; Jones, Denise R.; Kramer, Lynda J.; Arthur, Jarvis J., III; Williams, Steve P.; Barmore, Bryan E.; Ellis, Kyle E.; Rehfeld, Sherri A.

    2011-01-01

    A consortium of industry, academia and government agencies are devising new concepts for future U.S. aviation operations under the Next Generation Air Transportation System (NextGen). Many key capabilities are being identified to enable NextGen, including the concept of Equivalent Visual Operations (EVO) replicating the capacity and safety of today's visual flight rules (VFR) in all-weather conditions. NASA is striving to develop the technologies and knowledge to enable EVO and to extend EVO towards a Better-Than-Visual (BTV) operational concept. The BTV operational concept uses an electronic means to provide sufficient visual references of the external world and other required flight references on flight deck displays that enable VFR-like operational tempos and maintain and improve the safety of VFR while using VFR-like procedures in all-weather conditions. NASA Langley Research Center (LaRC) research on technologies to enable the concept of BTV is described.

  2. Assisting the visually impaired to deal with telephone interview jobs using information and commutation technology.

    PubMed

    Yeh, Fung-Huei; Yang, Chung-Chieh

    2014-12-01

    This study proposed a new information and commutation technology assisted blind telephone interview (ICT-ABTI) system to help visually impaired people to do telephone interview jobs as normal sighted people and create more diverse employment opportunities for them. The study also used an ABAB design to assess the system with seven visually impaired people. As the results, they can accomplish 3070 effective telephone interviews per month independently. The results also show that working performance of the visually impaired can be improved effectively with appropriate design of operation working flow and accessible software. The visually impaired become productive, lucrative, and self-sufficient by using ICT-ABTI system to do telephone interview jobs. The results were also shared through the APEC Digital Opportunity Center platform to help visually impaired in Philippines, Malaysia and China. PMID:25209925

  3. Evaluation of Visual Analytics Environments: The Road to the Visual Analytics Science and Technology Challenge Evaluation Methodology

    SciTech Connect

    Scholtz, Jean; Plaisant, Catherine; Whiting, Mark A.; Grinstein, Georges

    2014-09-28

    The evaluation of visual analytics environments was a topic in Illuminating the Path [Thomas 2005] as a critical aspect of moving research into practice. For a thorough understanding of the utility of the systems available, evaluation not only involves assessing the visualizations, interactions or data processing algorithms themselves, but also the complex processes that a tool is meant to support (such as exploratory data analysis and reasoning, communication through visualization, or collaborative data analysis [Lam 2012; Carpendale 2007]). Researchers and practitioners in the field have long identified many of the challenges faced when planning, conducting, and executing an evaluation of a visualization tool or system [Plaisant 2004]. Evaluation is needed to verify that algorithms and software systems work correctly and that they represent improvements over the current infrastructure. Additionally to effectively transfer new software into a working environment, it is necessary to ensure that the software has utility for the end-users and that the software can be incorporated into the end-user’s infrastructure and work practices. Evaluation test beds require datasets, tasks, metrics and evaluation methodologies. As noted in [Thomas 2005] it is difficult and expensive for any one researcher to setup an evaluation test bed so in many cases evaluation is setup for communities of researchers or for various research projects or programs. Examples of successful community evaluations can be found [Chinchor 1993; Voorhees 2007; FRGC 2012]. As visual analytics environments are intended to facilitate the work of human analysts, one aspect of evaluation needs to focus on the utility of the software to the end-user. This requires representative users, representative tasks, and metrics that measure the utility to the end-user. This is even more difficult as now one aspect of the test methodology is access to representative end-users to participate in the evaluation. In many

  4. The Use of Technology and Visualization in Calculus Instruction

    ERIC Educational Resources Information Center

    Samuels, Jason

    2010-01-01

    This study was inspired by a history of student difficulties in calculus, and innovation in response to those difficulties. The goals of the study were fourfold. First, to design a mathlet for students to explore local linearity. Second, to redesign the curriculum of first semester calculus around the use of technology, an emphasis on…

  5. Film and television in Croatia today: production, new technologies and the relationship with visual anthropology.

    PubMed

    Svilicić, Niksa; Vidacković, Zlatko

    2013-03-01

    This paper seeks to explain some of the most important recent production and technological changes that have affected the relationship between television and film, especially in Croatia, from the aspect of the development of visual anthropology. In the production segment, special attention was given to the role of Croatian television stations in the production of movies, "splitting" the movies into mini-series, interrupting movies with commercial breaks, and to television movies turned into feature films. This paper tries to perceive and define the structure of methodical processes of visual anthropology (reactive process). The development of photographic and film technology and the events which led to the rapid development of visual culture also point to the inseparable duality of observing visual anthropology within reactive and proactive processes, which are indirectly closely related to the technical aspects of these processes. Defining the technical aspect of visual anthropology as such "service" necessarily interferes with the author's approach in the domain of the script and direction related procedures during pre-production, on the field and during post-production of the movie. The author's approach is important because in dependence on it, the desired spectrum of information "output", susceptible to subsequent scientific analysis, is achieved. Lastly, another important segment is the "distributive-technological process" because, regardless of the approach to the anthropologically relevant phenomenon which is being dealt with in an audio-visual piece of work, it is essential that the work be presented and viewed adequately. PMID:23697281

  6. Film and television in Croatia today: production, new technologies and the relationship with visual anthropology.

    PubMed

    Svilicić, Niksa; Vidacković, Zlatko

    2013-03-01

    This paper seeks to explain some of the most important recent production and technological changes that have affected the relationship between television and film, especially in Croatia, from the aspect of the development of visual anthropology. In the production segment, special attention was given to the role of Croatian television stations in the production of movies, "splitting" the movies into mini-series, interrupting movies with commercial breaks, and to television movies turned into feature films. This paper tries to perceive and define the structure of methodical processes of visual anthropology (reactive process). The development of photographic and film technology and the events which led to the rapid development of visual culture also point to the inseparable duality of observing visual anthropology within reactive and proactive processes, which are indirectly closely related to the technical aspects of these processes. Defining the technical aspect of visual anthropology as such "service" necessarily interferes with the author's approach in the domain of the script and direction related procedures during pre-production, on the field and during post-production of the movie. The author's approach is important because in dependence on it, the desired spectrum of information "output", susceptible to subsequent scientific analysis, is achieved. Lastly, another important segment is the "distributive-technological process" because, regardless of the approach to the anthropologically relevant phenomenon which is being dealt with in an audio-visual piece of work, it is essential that the work be presented and viewed adequately.

  7. Analysis: including visually impaired participants in validation design studies of diabetes technology.

    PubMed

    Uslan, Mark; Blubaugh, Morgan

    2010-09-01

    In an article in this issue of Journal of Diabetes Science and Technology, Sherwyn Schwartz, M.D., presents a study to validate the design of the ClikSTAR® insulin pen from sanofi-aventis and demonstrates that the device can be used correctly by participants with diabetes. Concern with this article lies with the selection of participants, which was meant to reflect the intended audience for the insulin pen device but does not address the inclusion of visually impaired individuals, who comprise over 20% of the adult diabetes population. Visually impaired individuals need to be included as part of the intended audience for insulin administration technology, and manufacturers of these devices need to design their products for safe use by all people, including those who are visually impaired. The study demonstrated successful use of the ClikSTAR insulin pen in a population that did not include subjects with severe visual impairment. We believe that future validation studies for insulin administration technology should also include samples of visually impaired users and that visually impaired patients will embrace the use of insulin pens designed with their needs in mind.

  8. An Alternative Option to Dedicated Braille Notetakers for People with Visual Impairments: Universal Technology for Better Access

    ERIC Educational Resources Information Center

    Hong, Sunggye

    2012-01-01

    Technology provides equal access to information and helps people with visual impairments to complete tasks more independently. Among various assistive technology options for people with visual impairments, braille notetakers have been considered the most significant because of their technological innovation. Braille notetakers allow users who are…

  9. Wearable technology to help with visual challenges - two case studies.

    PubMed

    Kálmán, Viktor; Baczó, Csaba; Livadas, Makis; Csielka, Tamás

    2015-01-01

    Today as embedded computing technology and sensors become cheaper and smaller wearable technologies experience an unprecedented boom. This article presents two wearable systems that aim to help people with low vision and the blind in performing everyday tasks and doing sports. DIGIGLASSES is a project aimed at creating a pair of augmented reality digital glasses that present controlled light and contrast levels and marks selectable features on the field of vision to aid in everyday tasks. BLINDTRACK is guidance system that uses wireless localization and an innovative haptic feedback belt to guide blind runners along the running track. Both systems are briefly presented along with the most relevant technical details and user feedback where applicable. Both projects were funded by the EU FP7. Corresponding author V. Kalman: viktor.kalman@ateknea.com.

  10. Evolving the stimulus to fit the brain: a genetic algorithm reveals the brain's feature priorities in visual search.

    PubMed

    Van der Burg, Erik; Cass, John; Theeuwes, Jan; Alais, David

    2015-02-06

    How does the brain find objects in cluttered visual environments? For decades researchers have employed the classic visual search paradigm to answer this question using factorial designs. Although such approaches have yielded important information, they represent only a tiny fraction of the possible parametric space. Here we use a novel approach, by using a genetic algorithm (GA) to discover the way the brain solves visual search in complex environments, free from experimenter bias. Participants searched a series of complex displays, and those supporting fastest search were selected to reproduce (survival of the fittest). Their display properties (genes) were crossed and combined to create a new generation of "evolved" displays. Displays evolved quickly over generations towards a stable, efficiently searched array. Color properties evolved first, followed by orientation. The evolved displays also contained spatial patterns suggesting a coarse-to-fine search strategy. We argue that this behavioral performance-driven GA reveals the way the brain selects information during visual search in complex environments. We anticipate that our approach can be adapted to a variety of sensory and cognitive questions that have proven too intractable for factorial designs.

  11. Microscope and spectacle: on the complexities of using new visual technologies to communicate about wildlife conservation.

    PubMed

    Verma, Audrey; van der Wal, René; Fischer, Anke

    2015-11-01

    Wildlife conservation-related organisations increasingly employ new visual technologies in their science communication and public engagement efforts. Here, we examine the use of such technologies for wildlife conservation campaigns. We obtained empirical data from four UK-based organisations through semi-structured interviews and participant observation. Visual technologies were used to provide the knowledge and generate the emotional responses perceived by organisations as being necessary for motivating a sense of caring about wildlife. We term these two aspects 'microscope' and 'spectacle', metaphorical concepts denoting the duality through which these technologies speak to both the cognitive and the emotional. As conservation relies on public support, organisations have to be seen to deliver information that is not only sufficiently detailed and scientifically credible but also spectacular enough to capture public interest. Our investigation showed that balancing science and entertainment is a difficult undertaking for wildlife-related organisations as there are perceived risks of contriving experiences of nature and obscuring conservation aims.

  12. Optimal vaccination schedule search using genetic algorithm over MPI technology

    PubMed Central

    2012-01-01

    Background Immunological strategies that achieve the prevention of tumor growth are based on the presumption that the immune system, if triggered before tumor onset, could be able to defend from specific cancers. In supporting this assertion, in the last decade active immunization approaches prevented some virus-related cancers in humans. An immunopreventive cell vaccine for the non-virus-related human breast cancer has been recently developed. This vaccine, called Triplex, targets the HER-2-neu oncogene in HER-2/neu transgenic mice and has shown to almost completely prevent HER-2/neu-driven mammary carcinogenesis when administered with an intensive and life-long schedule. Methods To better understand the preventive efficacy of the Triplex vaccine in reduced schedules we employed a computational approach. The computer model developed allowed us to test in silico specific vaccination schedules in the quest for optimality. Specifically here we present a parallel genetic algorithm able to suggest optimal vaccination schedule. Results & Conclusions The enormous complexity of combinatorial space to be explored makes this approach the only possible one. The suggested schedule was then tested in vivo, giving good results. Finally, biologically relevant outcomes of optimization are presented. PMID:23148787

  13. An algorithmic interactive planning framework in support of sustainable technologies

    NASA Astrophysics Data System (ADS)

    Prica, Marija D.

    This thesis addresses the difficult problem of generation expansion planning that employs the most effective technologies in today's changing electric energy industry. The electrical energy industry, in both the industrialized world and in developing countries, is experiencing transformation in a number of different ways. This transformation is driven by major technological breakthroughs (such as the influx of unconventional smaller-scale resources), by industry restructuring, changing environmental objectives, and the ultimate threat of resource scarcity. This thesis proposes a possible planning framework in support of sustainable technologies where sustainability is viewed as a mix of multiple attributes ranging from reliability and environmental impact to short- and long-term efficiency. The idea of centralized peak-load pricing, which accounts for the tradeoffs between cumulative operational effects and the cost of new investments, is the key concept in support of long-term planning in the changing industry. To start with, an interactive planning framework for generation expansion is posed as a distributed decision-making model. In order to reconcile the distributed sub-objectives of different decision makers with system-wide sustainability objectives, a new concept of distributed interactive peak load pricing is proposed. To be able to make the right decisions, the decision makers must have sufficient information about the estimated long-term electricity prices. The sub-objectives of power plant owners and load-serving entities are profit maximization. Optimized long-term expansion plans based on predicted electricity prices are communicated to the system-wide planning authority as long-run bids. The long-term expansion bids are cleared by the coordinating planner so that the system-wide long-term performance criteria are satisfied. The interactions between generation owners and the coordinating planning authority are repeated annually. We view the proposed

  14. A New-Fangled FES-k-Means Clustering Algorithm for Disease Discovery and Visual Analytics.

    PubMed

    Oyana, Tonny J

    2010-01-01

    The central purpose of this study is to further evaluate the quality of the performance of a new algorithm. The study provides additional evidence on this algorithm that was designed to increase the overall efficiency of the original k-means clustering technique-the Fast, Efficient, and Scalable k-means algorithm (FES-k-means). The FES-k-means algorithm uses a hybrid approach that comprises the k-d tree data structure that enhances the nearest neighbor query, the original k-means algorithm, and an adaptation rate proposed by Mashor. This algorithm was tested using two real datasets and one synthetic dataset. It was employed twice on all three datasets: once on data trained by the innovative MIL-SOM method and then on the actual untrained data in order to evaluate its competence. This two-step approach of data training prior to clustering provides a solid foundation for knowledge discovery and data mining, otherwise unclaimed by clustering methods alone. The benefits of this method are that it produces clusters similar to the original k-means method at a much faster rate as shown by runtime comparison data; and it provides efficient analysis of large geospatial data with implications for disease mechanism discovery. From a disease mechanism discovery perspective, it is hypothesized that the linear-like pattern of elevated blood lead levels discovered in the city of Chicago may be spatially linked to the city's water service lines.

  15. Flight Deck Display Technologies for 4DT and Surface Equivalent Visual Operations

    NASA Technical Reports Server (NTRS)

    Prinzel, Lawrence J., III; Jones, Denis R.; Shelton, Kevin J.; Arthur, Jarvis J., III; Bailey, Randall E.; Allamandola, Angela S.; Foyle, David C.; Hooey, Becky L.

    2009-01-01

    NASA research is focused on flight deck display technologies that may significantly enhance situation awareness, enable new operating concepts, and reduce the potential for incidents/accidents for terminal area and surface operations. The display technologies include surface map, head-up, and head-worn displays; 4DT guidance algorithms; synthetic and enhanced vision technologies; and terminal maneuvering area traffic conflict detection and alerting systems. This work is critical to ensure that the flight deck interface technologies and the role of the human participants can support the full realization of the Next Generation Air Transportation System (NextGen) and its novel operating concepts.

  16. Generating and Analyzing Visual Representations of Conic Sections with the Use of Technological Tools

    ERIC Educational Resources Information Center

    Santos-Trigo, Manuel; Espinosa-Perez, Hugo; Reyes-Rodriguez, Aaron

    2006-01-01

    Technological tools have the potential to offer students the possibility to represent information and relationships embedded in problems and concepts in ways that involve numerical, algebraic, geometric, and visual approaches. In this paper, the authors present and discuss an example in which an initial representation of a mathematical object…

  17. Assistive Technology Competencies for Teachers of Students with Visual Impairments: A National Study

    ERIC Educational Resources Information Center

    Zhou, Li; Ajuwon, Paul M.; Smith, Derrick W.; Griffin-Shirley, Nora; Parker, Amy T.; Okungu, Phoebe

    2012-01-01

    Introduction: For practicing teachers of students with visual impairments, assistive technology has assumed an important role in the education of their students' assessment and learning of content. Little research has addressed this area; therefore, the purpose of the study presented here was to identify the teachers' self-reported possession of…

  18. The Future of Access Technology for Blind and Visually Impaired People.

    ERIC Educational Resources Information Center

    Schreier, E. M.

    1990-01-01

    This article describes potential use of new technological products and services by blind/visually impaired people. Items discussed include computer input devices, public telephones, automatic teller machines, airline and rail arrival/departure displays, ticketing machines, information retrieval systems, order-entry terminals, optical character…

  19. Digital Technology in the Visual Arts Classroom: An [un]Easy Partnership

    ERIC Educational Resources Information Center

    Wilks, Judith; Cutcher, Alexandra; Wilks, Susan

    2012-01-01

    This article scrutinizes the dichotomy of the uneasy and easy partnerships that exist between digital technology and visual arts education. The claim that by putting computers into schools "we have bought 'one half of a product'... we've bought the infrastructure and the equipment but we haven't bought the educational…

  20. Receptivity toward Assistive Computer Technology by Non-Users Who Are Blind/Visually Impaired

    ERIC Educational Resources Information Center

    Leff, Lisa

    2012-01-01

    The non-use of assistive computer technology by some people who are legallyblind/visually-impaired was investigated to determine the reasons for lack of interest (Chiang, Cole, Gupta, Kaiser, & Starren, 2006; Williamson, Wright, Schauder & Bow, 2001). Social and psychological factors implicated in non-interest were determined by profiling…

  1. Incorporating Assistive Technology for Students with Visual Impairments into the Music Classroom

    ERIC Educational Resources Information Center

    Rush, Toby W.

    2015-01-01

    Although recent advances make it easier than ever before for students with severe visual impairments to be fully accommodated in the music classroom, one of the most significant current challenges in this area is most music educators' unfamiliarity with current assistive technology. Fortunately, many of these tools are readily available and even…

  2. Resisting the Lure of Technology-Driven Design: Pedagogical Approaches to Visual Communication

    ERIC Educational Resources Information Center

    Northcut, Kathryn M.; Brumberger, Eva R.

    2010-01-01

    Technical communicators are expected to work extensively with visual texts in workplaces. Fortunately, most academic curricula include courses in which the skills necessary for such tasks are introduced and sometimes developed in depth. We identify a tension between a focus on technological skill vs. a focus on principles and theory, arguing that…

  3. Integration of multidisciplinary technologies for real time target visualization and verification for radiotherapy.

    PubMed

    Chang, Wen-Chung; Chen, Chin-Sheng; Tai, Hung-Chi; Liu, Chia-Yuan; Chen, Yu-Jen

    2014-01-01

    The current practice of radiotherapy examines target coverage solely from digitally reconstructed beam's eye view (BEV) in a way that is indirectly accessible and that is not in real time. We aimed to visualize treatment targets in real time from each BEV. The image data of phantom or patients from ultrasound (US) and computed tomography (CT) scans were captured to perform image registration. We integrated US, CT, US/CT image registration, robotic manipulation of US, a radiation treatment planning system, and a linear accelerator to constitute an innovative target visualization system. The performance of this algorithm segmented the target organ in CT images, transformed and reconstructed US images to match each orientation, and generated image registration in real time mode with acceptable accuracy. This image transformation allowed physicians to visualize the CT image-reconstructed target via a US probe outside the BEV that was non-coplanar to the beam's plane. It allowed the physicians to remotely control the US probe that was equipped on a robotic arm to dynamically trace and real time monitor the coverage of the target within the BEV during a simulated beam-on situation. This target visualization system may provide a direct remotely accessible and real time way to visualize, verify, and ensure tumor targeting during radiotherapy.

  4. Calibration of visual model for space manipulator with a hybrid LM-GA algorithm

    NASA Astrophysics Data System (ADS)

    Jiang, Wensong; Wang, Zhongyu

    2016-01-01

    A hybrid LM-GA algorithm is proposed to calibrate the camera system of space manipulator to improve its locational accuracy. This algorithm can dynamically fuse the Levenberg-Marqurdt (LM) algorithm and Genetic Algorithm (GA) together to minimize the error of nonlinear camera model. LM algorithm is called to optimize the initial camera parameters that are generated by genetic process previously. Iteration should be stopped if the optimized camera parameters meet the accuracy requirements. Otherwise, new populations are generated again by GA and optimized afresh by LM algorithm until the optimal solutions meet the accuracy requirements. A novel measuring machine of space manipulator is designed to on-orbit dynamic simulation and precision test. The camera system of space manipulator, calibrated by hybrid LM-GA algorithm, is used for locational precision test in this measuring instrument. The experimental results show that the mean composite errors are 0.074 mm for hybrid LM-GA camera calibration model, 1.098 mm for LM camera calibration model, and 1.202 mm for GA camera calibration model. Furthermore, the composite standard deviations are 0.103 mm for the hybrid LM-GA camera calibration model, 1.227 mm for LM camera calibration model, and 1.351 mm for GA camera calibration model. The accuracy of hybrid LM-GA camera calibration model is more than 10 times higher than that of other two methods. All in all, the hybrid LM-GA camera calibration model is superior to both the LM camera calibration model and GA camera calibration model.

  5. Teaching Proofs and Algorithms in Discrete Mathematics with Online Visual Logic Puzzles

    ERIC Educational Resources Information Center

    Cigas, John; Hsin, Wen-Jung

    2005-01-01

    Visual logic puzzles provide a fertile environment for teaching multiple topics in discrete mathematics. Many puzzles can be solved by the repeated application of a small, finite set of strategies. Explicitly reasoning from a strategy to a new puzzle state illustrates theorems, proofs, and logic principles. These provide valuable, concrete…

  6. Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future.

    PubMed

    Pavlopoulos, Georgios A; Malliarakis, Dimitris; Papanikolaou, Nikolas; Theodosiou, Theodosis; Enright, Anton J; Iliopoulos, Ioannis

    2015-01-01

    "Α picture is worth a thousand words." This widely used adage sums up in a few words the notion that a successful visual representation of a concept should enable easy and rapid absorption of large amounts of information. Although, in general, the notion of capturing complex ideas using images is very appealing, would 1000 words be enough to describe the unknown in a research field such as the life sciences? Life sciences is one of the biggest generators of enormous datasets, mainly as a result of recent and rapid technological advances; their complexity can make these datasets incomprehensible without effective visualization methods. Here we discuss the past, present and future of genomic and systems biology visualization. We briefly comment on many visualization and analysis tools and the purposes that they serve. We focus on the latest libraries and programming languages that enable more effective, efficient and faster approaches for visualizing biological concepts, and also comment on the future human-computer interaction trends that would enable for enhancing visualization further.

  7. Study on algorithm for night vision panoramic image basing on image segmentation and multimode displaying technology

    NASA Astrophysics Data System (ADS)

    Zhang, Zhenhai; Li, Kejie

    2009-07-01

    Based on single panoramic annular lens optical system and external-low-luminance CCD sensors, 360-degree panoramic night vision image processing hardware platform were established. The night vision panoramic image algorithm was presented, grounding on the image segmentation and multimode displaying technology. The annular image can be unwrapped and corrected to conventional rectangular panorama by the panoramic image unwrapping algorithm. The night vision image enhancement algorithm, based on adaptive piecewise linear gray transformation (APLGT) and Laplacian of Gaussian (LOG) edge detection, were given. APLGT algorithm can be adaptively truncate the image histogram on both ends to obtain a smaller dynamic range so as to enhance the contrast of the night vision image. LOG algorithm can be propitious to find and detect dim small targets in night vision circumstance. After abundant experiment, the algorithm for night vision panoramic image was successfully implemented in TMS320DM642, basing on the image Segmentation and multimode displaying algorithm. And the system can reliably and dynamically detect 360-degree view field of panoramic night vision image.

  8. An Algorithmic Approach to Assessing Behavior Potential: Comparison With Item Forms and Hierarchical Technologies.

    ERIC Educational Resources Information Center

    Durnin, John H.; Scandura, Joseph M.

    For individualized or computer assisted instruction, norm referenced testing is inadequate to determine each individual's mastery on specific kinds of tasks. Hively's item forms and Ferguson's stratified item forms, both based on observable characteristics of the problems, and Scandura's algorithmic technology, positing that persons use rules to…

  9. iOS--Worthy of the Hype as Assistive Technology for Visual Impairments? A Phenomenological Study of iOS Device Use by Individuals with Visual Impairments

    ERIC Educational Resources Information Center

    Scott, Shari

    2013-01-01

    This qualitative study sought to explore the shared essence of the lived experiences of early adopters of iOS devices as assistive technology by persons with visual impairments. The capstone question addressed the idea of whether any one device could fully meet the assistive technology needs of this population. Purposeful sampling methods were…

  10. Art-Science-Technology collaboration through immersive, interactive 3D visualization

    NASA Astrophysics Data System (ADS)

    Kellogg, L. H.

    2014-12-01

    At the W. M. Keck Center for Active Visualization in Earth Sciences (KeckCAVES), a group of geoscientists and computer scientists collaborate to develop and use of interactive, immersive, 3D visualization technology to view, manipulate, and interpret data for scientific research. The visual impact of immersion in a CAVE environment can be extremely compelling, and from the outset KeckCAVES scientists have collaborated with artists to bring this technology to creative works, including theater and dance performance, installations, and gamification. The first full-fledged collaboration designed and produced a performance called "Collapse: Suddenly falling down", choreographed by Della Davidson, which investigated the human and cultural response to natural and man-made disasters. Scientific data (lidar scans of disaster sites, such as landslides and mine collapses) were fully integrated into the performance by the Sideshow Physical Theatre. This presentation will discuss both the technological and creative characteristics of, and lessons learned from the collaboration. Many parallels between the artistic and scientific process emerged. We observed that both artists and scientists set out to investigate a topic, solve a problem, or answer a question. Refining that question or problem is an essential part of both the creative and scientific workflow. Both artists and scientists seek understanding (in this case understanding of natural disasters). Differences also emerged; the group noted that the scientists sought clarity (including but not limited to quantitative measurements) as a means to understanding, while the artists embraced ambiguity, also as a means to understanding. Subsequent art-science-technology collaborations have responded to evolving technology for visualization and include gamification as a means to explore data, and use of augmented reality for informal learning in museum settings.

  11. Visual Servoing of Quadrotor Micro-Air Vehicle Using Color-Based Tracking Algorithm

    NASA Astrophysics Data System (ADS)

    Azrad, Syaril; Kendoul, Farid; Nonami, Kenzo

    This paper describes a vision-based tracking system using an autonomous Quadrotor Unmanned Micro-Aerial Vehicle (MAV). The vision-based control system relies on color target detection and tracking algorithm using integral image, Kalman filters for relative pose estimation, and a nonlinear controller for the MAV stabilization and guidance. The vision algorithm relies on information from a single onboard camera. An arbitrary target can be selected in real-time from the ground control station, thereby outperforming template and learning-based approaches. Experimental results obtained from outdoor flight tests, showed that the vision-control system enabled the MAV to track and hover above the target as long as the battery is available. The target does not need to be pre-learned, or a template for detection. The results from image processing are sent to navigate a non-linear controller designed for the MAV by the researchers in our group.

  12. Impact of biomedical imaging and data visualization technology on the clinical development and regulatory review process

    NASA Astrophysics Data System (ADS)

    Conklin, James J.; Robbins, William L.

    1994-12-01

    The determination of whether a drug or medical device is safe and effective requires statistical proof of valid clinical trial information. Quantitative biostatistical measures from anatomic and functional medical images are now providing objective and reproducible measures of drug and device effects. These highly precise biostatistical measures can be used to quantitatively analyze the efficacy and occasionally the safety of these drugs and devices. Since medical imaging information is digital, or is readily digitized, it can be visualized and measured in a variety of ways to evaluate the validity of the data. Moreover, with advanced image processing and data visualization tools, this information can be electronically organized and submitted directly to the U.S. Food and Drug Administration reviewed. Biomedical imaging and computer-based data visualization technologies have the ability to substantially decrease the time required for clinical development and regulatory review while providing more valid data.

  13. Physics-Based Visualization of Dense Natural Clouds. II. Cloud-Rendering Algorithm.

    PubMed

    O'Brien, S G; Tofsted, D H

    1998-11-20

    We discuss the representation of aerosol-scattering properties, boundary information, and the use of these results in line-of-sight rendering applications for visualization of a modeled atmosphere based on a discrete ordinates three-dimensional radiative-transport method. The outputs of the radiative-transfer model provide spatial and angular distributions of limiting path radiance, given an input density distribution and external illumination conditions. We discuss the determination of the direct attenuated radiance, integrated path radiance, and background radiance for each pixel in the rendered scene. Orthographic and perspective projection approaches for displaying these results are described, and sample images are shown.

  14. Audio-Visual Technology and Learning. The Educational Technology Reviews Series. Number Six.

    ERIC Educational Resources Information Center

    Educational Technology Publications, Englewood Cliffs, NJ.

    Composed of articles selected from recent issues of "Educational Technology" magazine, this volume in the review series focuses on audiovisual technology and learning. Articles in this volume cover such topics as communications media, software design, teacher roles and attitudes, televised instruction, videotape recordings, instructional media,…

  15. SciDAC Visualization and Analytics Center for EnablingTechnology

    SciTech Connect

    Bethel, E. Wes; Johnson, Chris; Joy, Ken; Ahern, Sean; Pascucci,Valerio; Childs, Hank; Cohen, Jonathan; Duchaineau, Mark; Hamann, Bernd; Hansen, Charles; Laney, Dan; Lindstrom, Peter; Meredith, Jeremy; Ostrouchov, George; Parker, Steven; Silva, Claudio; Sanderson, Allen; Tricoche, Xavier

    2006-11-28

    The SciDAC2 Visualization and Analytics Center for EnablingTechnologies (VACET) began operation on 10/1/2006. This document, dated11/27/2006, is the first version of the VACET project management plan. Itwas requested by and delivered to ASCR/DOE. It outlines the Center'saccomplishments in the first six weeks of operation along with broadobjectives for the upcoming future (12-24 months).

  16. A multi-level anomaly detection algorithm for time-varying graph data with interactive visualization

    DOE PAGES

    Bridges, Robert A.; Collins, John P.; Ferragut, Erik M.; Laska, Jason A.; Sullivan, Blair D.

    2016-10-20

    This work presents a novel modeling and analysis framework for graph sequences which addresses the challenge of detecting and contextualizing anomalies in labelled, streaming graph data. We introduce a generalization of the BTER model of Seshadhri et al. by adding flexibility to community structure, and use this model to perform multi-scale graph anomaly detection. Specifically, probability models describing coarse subgraphs are built by aggregating node probabilities, and these related hierarchical models simultaneously detect deviations from expectation. This technique provides insight into a graph's structure and internal context that may shed light on a detected event. Additionally, this multi-scale analysis facilitatesmore » intuitive visualizations by allowing users to narrow focus from an anomalous graph to particular subgraphs or nodes causing the anomaly. For evaluation, two hierarchical anomaly detectors are tested against a baseline Gaussian method on a series of sampled graphs. We demonstrate that our graph statistics-based approach outperforms both a distribution-based detector and the baseline in a labeled setting with community structure, and it accurately detects anomalies in synthetic and real-world datasets at the node, subgraph, and graph levels. Furthermore, to illustrate the accessibility of information made possible via this technique, the anomaly detector and an associated interactive visualization tool are tested on NCAA football data, where teams and conferences that moved within the league are identified with perfect recall, and precision greater than 0.786.« less

  17. See-Through Technology for Biological Tissue: 3-Dimensional Visualization of Macromolecules

    PubMed Central

    2016-01-01

    Tissue clearing technology is currently one of the fastest growing fields in biomedical sciences. Tissue clearing techniques have become a powerful approach to understand further the structural information of intact biological tissues. Moreover, technological improvements in tissue clearing and optics allowed the visualization of neural network in the whole brain tissue with subcellular resolution. Here, we described an overview of various tissue-clearing techniques, with focus on the tissue-hydrogel mediated clearing methods, and discussed the main advantages and limitations of transparent tissue for clinical diagnosis. PMID:27230455

  18. Applying technology to visually support language and communication in individuals with autism spectrum disorders.

    PubMed

    Shane, Howard C; Laubscher, Emily H; Schlosser, Ralf W; Flynn, Suzanne; Sorce, James F; Abramson, Jennifer

    2012-06-01

    The burgeoning role of technology in society has provided opportunities for the development of new means of communication for individuals with Autism Spectrum Disorders (ASD). This paper offers an organizational framework for describing traditional and emerging augmentative and alternative communication (AAC) technology, and highlights how tools within this framework can support a visual approach to everyday communication and improve language instruction. The growing adoption of handheld media devices along with applications acquired via a consumer-oriented delivery model suggests a potential paradigm shift in AAC for people with ASD.

  19. Selective pattern enhancement processing for digital mammography, algorithms, and the visual evaluation

    NASA Astrophysics Data System (ADS)

    Yamada, Masahiko; Shimura, Kazuo; Nagata, Takefumi

    2003-05-01

    In order to enhance the micro calcifications selectively without enhancing noises, PEM (Pattern Enhancement Processing for Mammography) has been developed by utilizing not only the frequency information but also the structural information of the specified objects. PEM processing uses two structural characteristics i.e. steep edge structure and low-density isolated-point structure. The visual evaluation of PEM processing was done using two different resolution CR mammography images. The enhanced image by PEM processing was compared with the image without enhancement, and the conventional usharp-mask processed image. In the PEM processed image, an increase of noises due to enhancement was suppressed as compared with that in the conventional unsharp-mask processed image. The evaluation using CDMAM phantom showed that PEM processing improved the detection performance of a minute circular pattern. By combining PEM processing with the low and medium frequency enhancement processing, both mammary glands and micro calcifications are clearly enhanced.

  20. The Combination Design of Enabling Technologies in Group Learning: New Study Support Service for Visually Impaired University Students

    ERIC Educational Resources Information Center

    Tangsri, Chatcai; Na-Takuatoong, Onjaree; Sophatsathit, Peraphon

    2013-01-01

    This article aims to show how the process of new service technology-based development improves the current study support service for visually impaired university students. Numerous studies have contributed to improving assisted aid technology such as screen readers, the development and the use of audiobooks, and technology that supports individual…

  1. The Use of Assistive Technology by High School Students with Visual Impairments: A Second Look at the Current Problem

    ERIC Educational Resources Information Center

    Kelly, Stacy M.

    2011-01-01

    Even though a wide variety of assistive technology tools and devices are available in the marketplace, many students with visual impairments (that is, those who are blind or have low vision) have not yet benefitted from using this specialized technology. This article presents a study that assessed the use of assistive technology by high school…

  2. Microscope and spectacle: on the complexities of using new visual technologies to communicate about wildlife conservation.

    PubMed

    Verma, Audrey; van der Wal, René; Fischer, Anke

    2015-11-01

    Wildlife conservation-related organisations increasingly employ new visual technologies in their science communication and public engagement efforts. Here, we examine the use of such technologies for wildlife conservation campaigns. We obtained empirical data from four UK-based organisations through semi-structured interviews and participant observation. Visual technologies were used to provide the knowledge and generate the emotional responses perceived by organisations as being necessary for motivating a sense of caring about wildlife. We term these two aspects 'microscope' and 'spectacle', metaphorical concepts denoting the duality through which these technologies speak to both the cognitive and the emotional. As conservation relies on public support, organisations have to be seen to deliver information that is not only sufficiently detailed and scientifically credible but also spectacular enough to capture public interest. Our investigation showed that balancing science and entertainment is a difficult undertaking for wildlife-related organisations as there are perceived risks of contriving experiences of nature and obscuring conservation aims. PMID:26508351

  3. Which technology to investigate visual perception in sport: video vs. virtual reality.

    PubMed

    Vignais, Nicolas; Kulpa, Richard; Brault, Sébastien; Presse, Damien; Bideau, Benoit

    2015-02-01

    Visual information uptake is a fundamental element of sports involving interceptive tasks. Several methodologies, like video and methods based on virtual environments, are currently employed to analyze visual perception during sport situations. Both techniques have advantages and drawbacks. The goal of this study is to determine which of these technologies may be preferentially used to analyze visual information uptake during a sport situation. To this aim, we compared a handball goalkeeper's performance using two standardized methodologies: video clip and virtual environment. We examined this performance for two response tasks: an uncoupled task (goalkeepers show where the ball ends) and a coupled task (goalkeepers try to intercept the virtual ball). Variables investigated in this study were percentage of correct zones, percentage of correct responses, radial error and response time. The results showed that handball goalkeepers were more effective, more accurate and started to intercept earlier when facing a virtual handball thrower than when facing the video clip. These findings suggested that the analysis of visual information uptake for handball goalkeepers was better performed by using a 'virtual reality'-based methodology. Technical and methodological aspects of these findings are discussed further.

  4. [Segmentation of Winter Wheat Canopy Image Based on Visual Spectral and Random Forest Algorithm].

    PubMed

    Liu, Ya-dong; Cui, Ri-xian

    2015-12-01

    Digital image analysis has been widely used in non-destructive monitoring of crop growth and nitrogen nutrition status due to its simplicity and efficiency. It is necessary to segment winter wheat plant from soil background for accessing canopy cover, intensity level of visible spectrum (R, G, and B) and other color indices derived from RGB. In present study, according to the variation in R, G, and B components of sRGB color space and L*, a*, and b* components of CIEL* a* b* color space between wheat plant and soil background, the segmentation of wheat plant from soil background were conducted by the Otsu's method based on a* component of CIEL* a* b* color space, and RGB based random forest method, and CIEL* a* b* based random forest method, respectively. Also the ability to segment wheat plant from soil background was evaluated with the value of segmentation accuracy. The results showed that all three methods had revealed good ability to segment wheat plant from soil background. The Otsu's method had lowest segmentation accuracy in comparison with the other two methods. There were only little difference in segmentation error between the two random forest methods. In conclusion, the random forest method had revealed its capacity to segment wheat plant from soil background with only the visual spectral information of canopy image without any color components combinations or any color space transformation.

  5. [Segmentation of Winter Wheat Canopy Image Based on Visual Spectral and Random Forest Algorithm].

    PubMed

    Liu, Ya-dong; Cui, Ri-xian

    2015-12-01

    Digital image analysis has been widely used in non-destructive monitoring of crop growth and nitrogen nutrition status due to its simplicity and efficiency. It is necessary to segment winter wheat plant from soil background for accessing canopy cover, intensity level of visible spectrum (R, G, and B) and other color indices derived from RGB. In present study, according to the variation in R, G, and B components of sRGB color space and L*, a*, and b* components of CIEL* a* b* color space between wheat plant and soil background, the segmentation of wheat plant from soil background were conducted by the Otsu's method based on a* component of CIEL* a* b* color space, and RGB based random forest method, and CIEL* a* b* based random forest method, respectively. Also the ability to segment wheat plant from soil background was evaluated with the value of segmentation accuracy. The results showed that all three methods had revealed good ability to segment wheat plant from soil background. The Otsu's method had lowest segmentation accuracy in comparison with the other two methods. There were only little difference in segmentation error between the two random forest methods. In conclusion, the random forest method had revealed its capacity to segment wheat plant from soil background with only the visual spectral information of canopy image without any color components combinations or any color space transformation. PMID:26964234

  6. Enhancing Visualization Skills-Improving Options and Success (EnViSIONS) of Engineering and Technology Students

    ERIC Educational Resources Information Center

    Veurink, N. L.; Hamlin, A. J.; Kampe; J. C. M.; Sorby, S. A.; Blasko, D. G.; Holliday-Darr, K. A.; Kremer, J. D. Trich; Harris, L. V. Abe; Connolly, P. E.; Sadowski, M. A.; Harris, K. S.; Brus, C. P.; Boyle, L. N.; Study, N. E.; Knott, T. W.

    2009-01-01

    Spatial visualization skills are vital to many careers and in particular to STEM fields. Materials have been developed at Michigan Technological University and Penn State Erie, The Behrend College to assess and develop spatial skills. The EnViSIONS (Enhancing Visualization Skills-Improving Options aNd Success) project is combining these materials…

  7. Technologies Used in the Study of Advanced Mathematics by Students Who Are Visually Impaired in Classrooms: Teachers' Perspectives

    ERIC Educational Resources Information Center

    DePountis, Vicki M.; Pogrund, Rona L.; Griffin-Shirley, Nora; Lan, William Y.

    2015-01-01

    Introduction: This research examined the perspectives of teachers of students who are visually impaired regarding the use and effectiveness of high-tech assistive technology purported to assist visually impaired students in advanced mathematics. Methods: The data for this study were collected via a mixed-methods online survey distributed through…

  8. Visual feature extraction and establishment of visual tags in the intelligent visual internet of things

    NASA Astrophysics Data System (ADS)

    Zhao, Yiqun; Wang, Zhihui

    2015-12-01

    The Internet of things (IOT) is a kind of intelligent networks which can be used to locate, track, identify and supervise people and objects. One of important core technologies of intelligent visual internet of things ( IVIOT) is the intelligent visual tag system. In this paper, a research is done into visual feature extraction and establishment of visual tags of the human face based on ORL face database. Firstly, we use the principal component analysis (PCA) algorithm for face feature extraction, then adopt the support vector machine (SVM) for classifying and face recognition, finally establish a visual tag for face which is already classified. We conducted a experiment focused on a group of people face images, the result show that the proposed algorithm have good performance, and can show the visual tag of objects conveniently.

  9. Computational fluid dynamics for propulsion technology: Geometric grid visualization in CFD-based propulsion technology research

    NASA Technical Reports Server (NTRS)

    Ziebarth, John P.; Meyer, Doug

    1992-01-01

    The coordination is examined of necessary resources, facilities, and special personnel to provide technical integration activities in the area of computational fluid dynamics applied to propulsion technology. Involved is the coordination of CFD activities between government, industry, and universities. Current geometry modeling, grid generation, and graphical methods are established to use in the analysis of CFD design methodologies.

  10. Demonstration of three gorges archaeological relics based on 3D-visualization technology

    NASA Astrophysics Data System (ADS)

    Xu, Wenli

    2015-12-01

    This paper mainly focuses on the digital demonstration of three gorges archeological relics to exhibit the achievements of the protective measures. A novel and effective method based on 3D-visualization technology, which includes large-scaled landscape reconstruction, virtual studio, and virtual panoramic roaming, etc, is proposed to create a digitized interactive demonstration system. The method contains three stages: pre-processing, 3D modeling and integration. Firstly, abundant archaeological information is classified according to its history and geographical information. Secondly, build up a 3D-model library with the technology of digital images processing and 3D modeling. Thirdly, use virtual reality technology to display the archaeological scenes and cultural relics vividly and realistically. The present work promotes the application of virtual reality to digital projects and enriches the content of digital archaeology.

  11. Virtual presence for mission visualization: computer game technology provides a new approach

    NASA Astrophysics Data System (ADS)

    Hussey, K.

    2007-08-01

    The concept of virtual presence for mission and planetary science visualization is to allow the public to "see" in space as if they were either riding aboard or standing next to an ESA/NASA spacecraft. Our approach to accomplishing this goal is to utilize and extend the same technology used by the computer gaming industry.With this technology, people would be able to immediately "look" in any direction from their virtual location and "zoom-in" at will. Whenever real data for their "view" exists it would be incorporated into the scene. Where data is missing, a high-fidelity simulation of the view would be generated to fill in the chosen field of view. The observer could also change the time of observation into the past or future. The potential for the application of this technology for the development of educational curricula is huge. On the engineering side, all allowable spacecraft and environmental parameters that are being measured and sent to Earth would be immediately viewable as if looking at the dashboard of a car or an instrument panel of an aircraft. Historical information could also be displayed upon request. This can revolutionize the way the general public and planetary scientific community views ESA/NASA missions and provides an educational context that is attractive to the younger generation. While conceptually using this technology is quite simple, the cross-discipline technical challenges are very demanding. This technology is currently under development and application at JPL to assist current missions in viewing their data, communicating with the public and visualizing future mission plans. Real-time demonstrations of the technology described will be shown.

  12. Designing a Collaborative Visual Analytics Tool for Social and Technological Change Prediction.

    SciTech Connect

    Wong, Pak C.; Leung, Lai-Yung R.; Lu, Ning; Scott, Michael J.; Mackey, Patrick S.; Foote, Harlan P.; Correia, James; Taylor, Zachary T.; Xu, Jianhua; Unwin, Stephen D.; Sanfilippo, Antonio P.

    2009-09-01

    We describe our ongoing efforts to design and develop a collaborative visual analytics tool to interactively model social and technological change of our society in a future setting. The work involves an interdisciplinary team of scientists from atmospheric physics, electrical engineering, building engineering, social sciences, economics, public policy, and national security. The goal of the collaborative tool is to predict the impact of global climate change on the U.S. power grids and its implications for society and national security. These future scenarios provide critical assessment and information necessary for policymakers and stakeholders to help formulate a coherent, unified strategy toward shaping a safe and secure society. The paper introduces the problem background and related work, explains the motivation and rationale behind our design approach, presents our collaborative visual analytics tool and usage examples, and finally shares the development challenge and lessons learned from our investigation.

  13. [Visualization between popularity and scientific practice: new perspectives for the history of medicine, science, and technology].

    PubMed

    Nikolow, Sybilla; Bluma, Lars

    2002-01-01

    The paper investigates how visual resources can be fruitfully used to study the history of science, medicine, and technology from a practical point of view. Two new international and interdisciplinary trends within recent historiography are reviewed: the history of visualisation and the history of popularisation. The results of both trends need to be combined in order to understand the ways in which images of science have been used to communicate science from its place of production within the laboratory to its users within the wider society. From the proposed perspective, visual representations of science (i.e. portraits, images of scientific instruments, measurement results and abstractions) are discussed as a distinct medium in which knowledge producers have transmitted and transformed their findings to the acquirers of knowledge. The paper introduces the wider historiographical framework for a discussion of the following four papers published in this issue of NTM.

  14. The monocular visual imaging technology model applied in the airport surface surveillance

    NASA Astrophysics Data System (ADS)

    Qin, Zhe; Wang, Jian; Huang, Chao

    2013-08-01

    At present, the civil aviation airports use the surface surveillance radar monitoring and positioning systems to monitor the aircrafts, vehicles and the other moving objects. Surface surveillance radars can cover most of the airport scenes, but because of the terminals, covered bridges and other buildings geometry, surface surveillance radar systems inevitably have some small segment blind spots. This paper presents a monocular vision imaging technology model for airport surface surveillance, achieving the perception of scenes of moving objects such as aircrafts, vehicles and personnel location. This new model provides an important complement for airport surface surveillance, which is different from the traditional surface surveillance radar techniques. Such technique not only provides clear objects activities screen for the ATC, but also provides image recognition and positioning of moving targets in this area. Thereby it can improve the work efficiency of the airport operations and avoid the conflict between the aircrafts and vehicles. This paper first introduces the monocular visual imaging technology model applied in the airport surface surveillance and then the monocular vision measurement accuracy analysis of the model. The monocular visual imaging technology model is simple, low cost, and highly efficient. It is an advanced monitoring technique which can make up blind spot area of the surface surveillance radar monitoring and positioning systems.

  15. Ontology Sparse Vector Learning Algorithm for Ontology Similarity Measuring and Ontology Mapping via ADAL Technology

    NASA Astrophysics Data System (ADS)

    Gao, Wei; Zhu, Linli; Wang, Kaiyun

    2015-12-01

    Ontology, a model of knowledge representation and storage, has had extensive applications in pharmaceutics, social science, chemistry and biology. In the age of “big data”, the constructed concepts are often represented as higher-dimensional data by scholars, and thus the sparse learning techniques are introduced into ontology algorithms. In this paper, based on the alternating direction augmented Lagrangian method, we present an ontology optimization algorithm for ontological sparse vector learning, and a fast version of such ontology technologies. The optimal sparse vector is obtained by an iterative procedure, and the ontology function is then obtained from the sparse vector. Four simulation experiments show that our ontological sparse vector learning model has a higher precision ratio on plant ontology, humanoid robotics ontology, biology ontology and physics education ontology data for similarity measuring and ontology mapping applications.

  16. Evaluation of the measurement geometries and data processing algorithms for industrial gamma tomography technology.

    PubMed

    Lee, N Y; Jung, S H; Kim, J B

    2009-01-01

    In this paper, we evaluated the measurement geometries and data processing algorithms for industrial gamma tomography technology. Several phantoms simulating industrial objects were tested in various conditions with the gamma-ray CT system developed in KAERI (Korea Atomic Energy Research Institute). Radiation was measured with lead shielded 24 1x1in Nal detectors. Regarding the parallel beam geometry, the EM algorithm showed the best resolution among the algebraic reconstruction technique (ART), simultaneous iterative reconstructive technique (SIRT) and expectation maximization (EM). However, the fan beam scanning was more time efficient than the parallel projection for the similar quality of reconstructed image. Future developments of the industrial gamma ray CT will be focused on a large-scale application which is more practical for a diagnosis in the petrochemical industry. PMID:19376727

  17. Quantitative detection of defects based on Markov-PCA-BP algorithm using pulsed infrared thermography technology

    NASA Astrophysics Data System (ADS)

    Tang, Qingju; Dai, Jingmin; Liu, Junyan; Liu, Chunsheng; Liu, Yuanlin; Ren, Chunping

    2016-07-01

    Quantitative detection of debonding defects' diameter and depth in TBCs has been carried out using pulsed infrared thermography technology. By combining principal component analysis with neural network theory, the Markov-PCA-BP algorithm was proposed. The principle and realization process of the proposed algorithm was described. In the prediction model, the principal components which can reflect most characteristics of the thermal wave signal were set as the input, and the defect depth and diameter was set as the output. The experimental data from pulsed infrared thermography tests of TBCs with flat bottom hole defects was selected as the training and testing sample. Markov-PCA-BP predictive system was arrived, based on which both the defect depth and diameter were identified accurately, which proved the effectiveness of the proposed method for quantitative detection of debonding defects in TBCs.

  18. The Impact of Assistive Technology on the Educational Performance of Students with Visual Impairments: A Synthesis of the Research

    ERIC Educational Resources Information Center

    Kelly, Stacy M.; Smith, Derrick W.

    2011-01-01

    This synthesis examined the research literature from 1965 to 2009 on the assistive technology that is used by individuals with visual impairments. The authors located and reviewed 256 articles for evidence-based research on assistive technology that had a positive impact on educational performance. Of the 256 studies, only 2 provided promising…

  19. 3D Simulation Technology as an Effective Instructional Tool for Enhancing Spatial Visualization Skills in Apparel Design

    ERIC Educational Resources Information Center

    Park, Juyeon; Kim, Dong-Eun; Sohn, MyungHee

    2011-01-01

    The purpose of this study is to explore the effectiveness of 3D simulation technology for enhancing spatial visualization skills in apparel design education and further to suggest an innovative teaching approach using the technology. Apparel design majors in an introductory patternmaking course, at a large Midwestern University in the United…

  20. Critical Visual Literacy: The New Phase of Applied Linguistics in the Era of Mobile Technology

    ERIC Educational Resources Information Center

    Dos Santos Costa, Giselda; Xavier, Antonio Carlos

    2016-01-01

    In our society, which is full of images, visual representations and visual experiences of all kinds, there is a paradoxically significant degree of visual illiteracy. Despite the importance of developing specific visual skills, visual literacy is not a priority in school curriculum (Spalter & van Dam, 2008). This work aims at (1) emphasising…

  1. Emerging fiber optic endomicroscopy technologies towards noninvasive real-time visualization of histology in situ

    NASA Astrophysics Data System (ADS)

    Xi, Jiefeng; Zhang, Yuying; Huo, Li; Chen, Yongping; Jabbour, Toufic; Li, Ming-Jun; Li, Xingde

    2010-09-01

    This paper reviews our recent developments of ultrathin fiber-optic endomicroscopy technologies for transforming high-resolution noninvasive optical imaging techniques to in vivo and clinical applications such as early disease detection and guidance of interventions. Specifically we describe an all-fiber-optic scanning endomicroscopy technology, which miniaturizes a conventional bench-top scanning laser microscope down to a flexible fiber-optic probe of a small footprint (i.e. ~2-2.5 mm in diameter), capable of performing two-photon fluorescence and second harmonic generation microscopy in real time. This technology aims to enable realtime visualization of histology in situ without the need for tissue removal. We will also present a balloon OCT endoscopy technology which permits high-resolution 3D imaging of the entire esophagus for detection of neoplasia, guidance of biopsy and assessment of therapeutic outcome. In addition we will discuss the development of functional polymeric fluorescent nanocapsules, which use only FAD approved materials and potentially enable fast track clinical translation of optical molecular imaging and targeted therapy.

  2. Interactive Visualization of Large-Scale Hydrological Data using Emerging Technologies in Web Systems and Parallel Programming

    NASA Astrophysics Data System (ADS)

    Demir, I.; Krajewski, W. F.

    2013-12-01

    As geoscientists are confronted with increasingly massive datasets from environmental observations to simulations, one of the biggest challenges is having the right tools to gain scientific insight from the data and communicate the understanding to stakeholders. Recent developments in web technologies make it easy to manage, visualize and share large data sets with general public. Novel visualization techniques and dynamic user interfaces allow users to interact with data, and modify the parameters to create custom views of the data to gain insight from simulations and environmental observations. This requires developing new data models and intelligent knowledge discovery techniques to explore and extract information from complex computational simulations or large data repositories. Scientific visualization will be an increasingly important component to build comprehensive environmental information platforms. This presentation provides an overview of the trends and challenges in the field of scientific visualization, and demonstrates information visualization and communication tools developed within the light of these challenges.

  3. Earthdata Search: Combining New Services and Technologies for Earth Science Data Discovery, Visualization, and Access

    NASA Astrophysics Data System (ADS)

    Quinn, P.; Pilone, D.

    2014-12-01

    A host of new services are revolutionizing discovery, visualization, and access of NASA's Earth science data holdings. At the same time, web browsers have become far more capable and open source libraries have grown to take advantage of these capabilities. Earthdata Search is a web application which combines modern browser features with the latest Earthdata services from NASA to produce a cutting-edge search and access client with features far beyond what was possible only a couple of years ago. Earthdata Search provides data discovery through the Common Metadata Repository (CMR), which provides a high-speed REST API for searching across hundreds of millions of data granules using temporal, spatial, and other constraints. It produces data visualizations by combining CMR data with Global Imagery Browse Services (GIBS) image tiles. Earthdata Search renders its visualizations using custom plugins built on Leaflet.js, a lightweight mobile-friendly open source web mapping library. The client further features an SVG-based interactive timeline view of search results. For data access, Earthdata Search provides easy temporal and spatial subsetting as well as format conversion by making use of OPeNDAP. While the client hopes to drive adoption of these services and standards, it provides fallback behavior for working with data that has not yet adopted them. This allows the client to remain on the cutting-edge of service offerings while still boasting a catalog containing thousands of data collections. In this session, we will walk through Earthdata Search and explain how it incorporates these new technologies and service offerings.

  4. Assessment of visual quality and spatial accuracy of fast anisotropic diffusion and scan conversion algorithms for real-time three-dimensional spherical ultrasound

    NASA Astrophysics Data System (ADS)

    Duan, Qi; Angelini, Elsa D.; Laine, Andrew

    2004-04-01

    Three-dimensional ultrasound machines based on matrix phased-array transducers are gaining predominance for real-time dynamic screening in cardiac and obstetric practice. These transducers array acquire three-dimensional data in spherical coordinates along lines tiled in azimuth and elevation angles at incremental depth. This study aims at evaluating fast filtering and scan conversion algorithms applied in the spherical domain prior to visualization into Cartesian coordinates for visual quality and spatial measurement accuracy. Fast 3d scan conversion algorithms were implemented and with different order interpolation kernels. Downsizing and smoothing of sampling artifacts were integrated in the scan conversion process. In addition, a denoising scheme for spherical coordinate data with 3d anisotropic diffusion was implemented and applied prior to scan conversion to improve image quality. Reconstruction results under different parameter settings, such as different interpolation kernels, scaling factor, smoothing options, and denoising, are reported. Image quality was evaluated on several data sets via visual inspections and measurements of cylinder objects dimensions. Error measurements of the cylinder's radius, reported in this paper, show that the proposed fast scan conversion algorithm can correctly reconstruct three-dimensional ultrasound in Cartesian coordinates under tuned parameter settings. Denoising via three-dimensional anisotropic diffusion was able to greatly improve the quality of resampled data without affecting the accuracy of spatial information after the modification of the introduction of a variable gradient threshold parameter.

  5. [Study on SPAD visualization of pumpkin leaves based on hyperspectral imaging technology].

    PubMed

    Zhao, Yan-Ru; Yu, Ke-Qiang; Li, Xiao-Li; He, Yong

    2014-05-01

    Visible/near-infrared (380 approximately 1 030 nm) hyperspectral imaging technique was used to realize SPAD visualization of pumpkin leaves in the present study. Downy mildew could be diagnosed rapidly according to significant positive correlation between downy mildew epidemic and chlorophyll content. Leaves uninfected and infected with different level downy mildew were used to acquire hyperspectral images and extract spectral information. Competitive adaptive reweighted sampling (CARS) was applied to select optimal wavelengths and finally 10 optimal wavelengths were obtained. Partial least squares regression (PLSR) was employed to establish SPAD prediction model. Results showed that, through the analysis of calibration of 48 samples and prediction of 23 samples, CARS-PLSR could obtain good results with Rc= 0. 918, RMSECV= 3. 932; Rcv- 0. 846, RMSECV = 5. 254; Rp = 0. 881, and RMSEP= 3. 714. Regression model was gained based on the relationship between SPAD and spectral of pumpkin leaves. While SPAD of each pixel was calculated with PLSR regression equation, then SPAD distribution map of pumpkin was visualized using imaging processing technology. Final downy mildew infection could be diagnosed based on SPAD distribution map. This study provided a theoretical reference for effective monitoring plant growth and downy mildew epidemic.

  6. Touch Interaction with 3D Geographical Visualization on Web: Selected Technological and User Issues

    NASA Astrophysics Data System (ADS)

    Herman, L.; Stachoň, Z.; Stuchlík, R.; Hladík, J.; Kubíček, P.

    2016-10-01

    The use of both 3D visualization and devices with touch displays is increasing. In this paper, we focused on the Web technologies for 3D visualization of spatial data and its interaction via touch screen gestures. At the first stage, we compared the support of touch interaction in selected JavaScript libraries on different hardware (desktop PCs with touch screens, tablets, and smartphones) and software platforms. Afterward, we realized simple empiric test (within-subject design, 6 participants, 2 simple tasks, LCD touch monitor Acer and digital terrain models as stimuli) focusing on the ability of users to solve simple spatial tasks via touch screens. An in-house testing web tool was developed and used based on JavaScript, PHP, and X3DOM languages and Hammer.js libraries. The correctness of answers, speed of users' performances, used gestures, and a simple gesture metric was recorded and analysed. Preliminary results revealed that the pan gesture is most frequently used by test participants and it is also supported by the majority of 3D libraries. Possible gesture metrics and future developments including the interpersonal differences are discussed in the conclusion.

  7. Teachers of Students with Visual Impairments and Their Use of Assistive Technology: Measuring the Proficiency of Teachers and Their Identification with a Community of Practice

    ERIC Educational Resources Information Center

    Siu, Yue-Ting; Morash, Valerie S.

    2014-01-01

    Introduction: This article presents an instrument that measures the assistive technology proficiency of teachers of students with visual impairments and their identification with a community of practice that values assistive technology. Teachers' deficits in assistive technology proficiency negatively impact students who are visually impaired by…

  8. Assistive Technology for Students with Visual Impairments: In-Service Teacher Training and Its Relationship to Student Access and Usage across Academic Subject Areas

    ERIC Educational Resources Information Center

    Segers, Kathryn S.

    2014-01-01

    Technology is used in almost every school and classroom today and motivates and intrigues students with vision. This same technology is often not accessible to students with visual impairments and blindness. Assistive technology must be used by students with visual impairments and blindness in order to access a computer, the Internet, and print…

  9. "The Reading Assistant": user-friendly technology for the visually impaired.

    PubMed

    Yager, D

    1995-05-01

    One important way in which optometry must respond to the needs of persons with visual disabilities is to develop innovative applications of technologies that will allow these people to function productively in the workplace, where their performance depends on the ability to read at reasonable rates: to read such documents as letters, memos, contracts, instruction manuals, newspapers, magazines, and the like. In this paper I will describe one example of such an effort, a system that is being developed jointly by the SUNY College of Optometry, the National Eye Institute, and MerlinVision Industries, Inc., a company in Yorktown Heights, NY. I have an interest in what is reported here: I hold a part-time position as Director of Clinical Research at MerlinVision.

  10. A sensitive data extraction algorithm based on the content associated encryption technology for ICS

    NASA Astrophysics Data System (ADS)

    Wang, Wei; Hao, Huang; Xie, Changsheng

    With the development of HD video, the protection of copyright becomes more complicated. More advanced copyright protection technology is needed. Traditional digital copyright protection technology generally uses direct or selective encryption algorithm and the key does not associate with the video content [1]. Once the encryption method is cracked or the key is stolen, the copyright of the video will be violated. To address this issue, this paper proposes a Sensitive Data Extraction Algorithm (SDEA) based on the content associated encryption technology which applies to the Internet Certification Service (ICS). The principle of content associated encryption is to extract some data from the video and use this extracted data as the key to encrypt the rest data. The extracted part from video is called sensitive data, and the rest part is called the main data. After extraction, the main data will not be played or poorly played. The encrypted sensitive data reach the terminal device through the safety certificated network and the main data are through ICS disc. The terminal equipments are responsible for synthesizing and playing these two parts of data. Consequently, even if the main data on disc is illegally obtained, the video cannot be played normally due to the lack of necessary sensitive data. It is proved by experiments that ICS using SDEA can destruct the video effectively with 0.25% extraction rates and the destructed video cannot be played well. It can also guarantee the consistency of the destructive effect on different videos with different contents. The sensitive data can be transported smoothly under the home Internet bandwidth.

  11. Game On, Science - How Video Game Technology May Help Biologists Tackle Visualization Challenges

    PubMed Central

    Da Silva, Franck; Empereur-mot, Charly; Chavent, Matthieu; Baaden, Marc

    2013-01-01

    The video games industry develops ever more advanced technologies to improve rendering, image quality, ergonomics and user experience of their creations providing very simple to use tools to design new games. In the molecular sciences, only a small number of experts with specialized know-how are able to design interactive visualization applications, typically static computer programs that cannot easily be modified. Are there lessons to be learned from video games? Could their technology help us explore new molecular graphics ideas and render graphics developments accessible to non-specialists? This approach points to an extension of open computer programs, not only providing access to the source code, but also delivering an easily modifiable and extensible scientific research tool. In this work, we will explore these questions using the Unity3D game engine to develop and prototype a biological network and molecular visualization application for subsequent use in research or education. We have compared several routines to represent spheres and links between them, using either built-in Unity3D features or our own implementation. These developments resulted in a stand-alone viewer capable of displaying molecular structures, surfaces, animated electrostatic field lines and biological networks with powerful, artistic and illustrative rendering methods. We consider this work as a proof of principle demonstrating that the functionalities of classical viewers and more advanced novel features could be implemented in substantially less time and with less development effort. Our prototype is easily modifiable and extensible and may serve others as starting point and platform for their developments. A webserver example, standalone versions for MacOS X, Linux and Windows, source code, screen shots, videos and documentation are available at the address: http://unitymol.sourceforge.net/. PMID:23483961

  12. Game on, science - how video game technology may help biologists tackle visualization challenges.

    PubMed

    Lv, Zhihan; Tek, Alex; Da Silva, Franck; Empereur-mot, Charly; Chavent, Matthieu; Baaden, Marc

    2013-01-01

    The video games industry develops ever more advanced technologies to improve rendering, image quality, ergonomics and user experience of their creations providing very simple to use tools to design new games. In the molecular sciences, only a small number of experts with specialized know-how are able to design interactive visualization applications, typically static computer programs that cannot easily be modified. Are there lessons to be learned from video games? Could their technology help us explore new molecular graphics ideas and render graphics developments accessible to non-specialists? This approach points to an extension of open computer programs, not only providing access to the source code, but also delivering an easily modifiable and extensible scientific research tool. In this work, we will explore these questions using the Unity3D game engine to develop and prototype a biological network and molecular visualization application for subsequent use in research or education. We have compared several routines to represent spheres and links between them, using either built-in Unity3D features or our own implementation. These developments resulted in a stand-alone viewer capable of displaying molecular structures, surfaces, animated electrostatic field lines and biological networks with powerful, artistic and illustrative rendering methods. We consider this work as a proof of principle demonstrating that the functionalities of classical viewers and more advanced novel features could be implemented in substantially less time and with less development effort. Our prototype is easily modifiable and extensible and may serve others as starting point and platform for their developments. A webserver example, standalone versions for MacOS X, Linux and Windows, source code, screen shots, videos and documentation are available at the address: http://unitymol.sourceforge.net/.

  13. A Collaborative Education Network for Advancing Climate Literacy using Data Visualization Technology

    NASA Astrophysics Data System (ADS)

    McDougall, C.; Russell, E. L.; Murray, M.; Bendel, W. B.

    2013-12-01

    One of the more difficult issues in engaging broad audiences with scientific research is to present it in a way that is intuitive, captivating and up-to-date. Over the past ten years, the National Oceanic and Atmospheric Administration (NOAA) has made significant progress in this area through Science On a Sphere(R) (SOS). SOS is a room-sized, global display system that uses computers and video projectors to display Earth systems data onto a six-foot diameter sphere, analogous to a giant animated globe. This well-crafted data visualization system serves as a way to integrate and display global change phenomena; including polar ice melt, projected sea level rise, ocean acidification and global climate models. Beyond a display for individual data sets, SOS provides a holistic global perspective that highlights the interconnectedness of Earth systems, nations and communities. SOS is now a featured exhibit at more than 100 science centers, museums, universities, aquariums and other institutions around the world reaching more than 33 million visitors every year. To facilitate the development of how this data visualization technology and these visualizations could be used with public audiences, we recognized the need for the exchange of information among the users. To accomplish this, we established the SOS Users Collaborative Network. This network consists of the institutions that have an SOS system or partners who are creating content and educational programming for SOS. When we began the Network in 2005, many museums had limited capacity to both incorporate real-time, authentic scientific data about the Earth system and interpret global change visualizations. They needed not only the visualization platform and the scientific content, but also assistance with methods of approach. We needed feedback from these users on how to craft understandable visualizations and how to further develop the SOS platform to support learning. Through this Network and the collaboration

  14. Genetic algorithms

    NASA Technical Reports Server (NTRS)

    Wang, Lui; Bayer, Steven E.

    1991-01-01

    Genetic algorithms are mathematical, highly parallel, adaptive search procedures (i.e., problem solving methods) based loosely on the processes of natural genetics and Darwinian survival of the fittest. Basic genetic algorithms concepts are introduced, genetic algorithm applications are introduced, and results are presented from a project to develop a software tool that will enable the widespread use of genetic algorithm technology.

  15. From Text to Television: Hermeneutic Textualism and the Challenge of Visual Technology in the Teaching of History.

    ERIC Educational Resources Information Center

    Knupfer, Peter

    The history of mass communications suggests that the manipulation of visual imagery can have as powerful an effect on human behavior as the manipulation of the written word. Recent warnings about a "hidden curriculum" incorporated in the use of instructional technology indicate that multimedia techniques will not escape the controversy about the…

  16. A Meta-Analysis of the Educational Effectiveness of Three-Dimensional Visualization Technologies in Teaching Anatomy

    ERIC Educational Resources Information Center

    Yammine, Kaissar; Violato, Claudio

    2015-01-01

    Many medical graduates are deficient in anatomy knowledge and perhaps below the standards for safe medical practice. Three-dimensional visualization technology (3DVT) has been advanced as a promising tool to enhance anatomy knowledge. The purpose of this review is to conduct a meta-analysis of the effectiveness of 3DVT in teaching and learning…

  17. Towards an Analysis of Visual Images in School Science Textbooks and Press Articles about Science and Technology.

    ERIC Educational Resources Information Center

    Dimopoulos, Kostas; Koulaidis, Vasilis; Sklaveniti, Spyridoula

    2003-01-01

    Analyzes the pedagogic functions of visual images included in school science textbooks and daily press articles about science and technology. Indicates that the science textbooks (a) use 10 times more images, (b) use more images so as to familiarize their readers with the specialized techno-scientific content and codes, and (c) tend to create a…

  18. Collaborative Action Research Approach Promoting Professional Development for Teachers of Students with Visual Impairment in Assistive Technology

    ERIC Educational Resources Information Center

    Argyropoulos, Vassilios; Nikolaraizi, Magda; Tsiakali, Thomai; Kountrias, Polychronis; Koutsogiorgou, Sofia-Marina; Martos, Aineias

    2014-01-01

    This paper highlights the framework and discusses the results of an action research project which aimed to facilitate the adoption of assistive technology devices and specialized software by teachers of students with visual impairment via a digital educational game, developed specifically for this project. The persons involved in this…

  19. Simulation Evaluation of Synthetic Vision as an Enabling Technology for Equivalent Visual Operations

    NASA Technical Reports Server (NTRS)

    Kramer, Lynda J.; Williams, Steven P.; Bailey, Randall E.

    2008-01-01

    Enhanced Vision (EV) and synthetic vision (SV) systems may serve as enabling technologies to meet the challenges of the Next Generation Air Transportation System (NextGen) Equivalent Visual Operations (EVO) concept ? that is, the ability to achieve or even improve on the safety of Visual Flight Rules (VFR) operations, maintain the operational tempos of VFR, and even, perhaps, retain VFR procedures independent of actual weather and visibility conditions. One significant challenge lies in the definition of required equipage on the aircraft and on the airport to enable the EVO concept objective. A piloted simulation experiment was conducted to evaluate the effects of the presence or absence of Synthetic Vision, the location of this information during an instrument approach (i.e., on a Head-Up or Head-Down Primary Flight Display), and the type of airport lighting information on landing minima. The quantitative data from this experiment were analyzed to begin the definition of performance-based criteria for all-weather approach and landing operations. Objective results from the present study showed that better approach performance was attainable with the head-up display (HUD) compared to the head-down display (HDD). A slight performance improvement in HDD performance was shown when SV was added, as the pilots descended below 200 ft to a 100 ft decision altitude, but this performance was not tested for statistical significance (nor was it expected to be statistically significant). The touchdown data showed that regardless of the display concept flown (SV HUD, Baseline HUD, SV HDD, Baseline HDD) a majority of the runs were within the performance-based defined approach and landing criteria in all the visibility levels, approach lighting systems, and decision altitudes tested. For this visual flight maneuver, RVR appeared to be the most significant influence in touchdown performance. The approach lighting system clearly impacted the pilot's ability to descend to 100 ft

  20. Simulation evaluation of synthetic vision as an enabling technology for equivalent visual operations

    NASA Astrophysics Data System (ADS)

    Kramer, Lynda J.; Williams, Steven P.; Bailey, Randall E.

    2008-04-01

    Enhanced Vision (EV) and synthetic vision (SV) systems may serve as enabling technologies to meet the challenges of the Next Generation Air Transportation System (NextGen) Equivalent Visual Operations (EVO) concept - that is, the ability to achieve or even improve on the safety of Visual Flight Rules (VFR) operations, maintain the operational tempos of VFR, and even, perhaps, retain VFR procedures independent of actual weather and visibility conditions. One significant challenge lies in the definition of required equipage on the aircraft and on the airport to enable the EVO concept objective. A piloted simulation experiment was conducted to evaluate the effects of the presence or absence of Synthetic Vision, the location of this information during an instrument approach (i.e., on a Head-Up or Head-Down Primary Flight Display), and the type of airport lighting information on landing minima. The quantitative data from this experiment were analyzed to begin the definition of performance-based criteria for all-weather approach and landing operations. Objective results from the present study showed that better approach performance was attainable with the head-up display (HUD) compared to the head-down display (HDD). A slight performance improvement in HDD performance was shown when SV was added, as the pilots descended below 200 ft to a 100 ft decision altitude, but this performance was not tested for statistical significance (nor was it expected to be statistically significant). The touchdown data showed that regardless of the display concept flown (SV HUD, Baseline HUD, SV HDD, Baseline HDD) a majority of the runs were within the performance-based defined approach and landing criteria in all the visibility levels, approach lighting systems, and decision altitudes tested. For this visual flight maneuver, RVR appeared to be the most significant influence in touchdown performance. The approach lighting system clearly impacted the pilot's ability to descend to 100 ft

  1. Long-Term Impact of Improving Visualization Abilities of Minority Engineering and Technology Students: Preliminary Results

    ERIC Educational Resources Information Center

    Study, Nancy E.

    2011-01-01

    Previous studies found that students enrolled in introductory engineering graphics courses at a historically black university (HBCU) had significantly lower than average test scores on the Purdue Spatial Visualization Test: Visualization of Rotations (PSVT) when it was administered during the first week of class. Since the ability to visualize is…

  2. Application Of Cathode-Ray Tube Technology To The Clinical Evaluation Of Visual Functions

    NASA Astrophysics Data System (ADS)

    Vernier, Francoise; Charlier, Jacques; Nguyen, Duc D.

    1988-02-01

    Cathode-ray tubes (CRTs) have many applications in the clinical evaluation of visual functions. They have been used to test visual acuity, contrast sensitivity, visual fields, and early development of vision in preverbal children. Because CRTs provide considerable flexibility for the definition of spatial and temporal components of the stimulus, their use provides an attractive solution to many visual stimulation problems. However, there are some limitations due to the scanning of the picture frame by the electron beam and also to the electron-photon conversion process. The spatial, photometric, spectral, and temporal characteristics of a specifically designed monochromatic television system are evaluated with reference to the physiological requirements of visual tests.

  3. Pedagogical Praxis Surrounding the Integration of Photography, Visual Literacy, Digital Literacy, and Educational Technology into Business Education Classrooms: A Focus Group Study

    ERIC Educational Resources Information Center

    Schlosser, Peter Allen

    2010-01-01

    This paper reports on an investigation into how Marketing and Business Education Teachers utilize and integrate educational technology into curriculum through the use of photography. The ontology of this visual, technological, and language interface is explored with an eye toward visual literacy, digital literacy, and pedagogical praxis, focusing…

  4. Anaglyph Image Technology As a Visualization Tool for Teaching Geology of National Parks

    NASA Astrophysics Data System (ADS)

    Stoffer, P. W.; Phillips, E.; Messina, P.

    2003-12-01

    Anaglyphic stereo viewing technology emerged in the mid 1800's. Anaglyphs use offset images in contrasting colors (typically red and cyan) that when viewed through color filters produce a three-dimensional (3-D) image. Modern anaglyph image technology has become increasingly easy to use and relatively inexpensive using digital cameras, scanners, color printing, and common image manipulation software. Perhaps the primary drawbacks of anaglyph images include visualization problems with primary colors (such as flowers, bright clothing, or blue sky) and distortion factors in large depth-of-field images. However, anaglyphs are more versatile than polarization techniques since they can be printed, displayed on computer screens (such as on websites), or projected with a single projector (as slides or digital images), and red and cyan viewing glasses cost less than polarization glasses and other 3-D viewing alternatives. Anaglyph images are especially well suited for most natural landscapes, such as views dominated by natural earth tones (grays, browns, greens), and they work well for sepia and black and white images (making the conversion of historic stereo photography into anaglyphs easy). We used a simple stereo camera setup incorporating two digital cameras with a rigid base to photograph landscape features in national parks (including arches, caverns, cactus, forests, and coastlines). We also scanned historic stereographic images. Using common digital image manipulation software we created websites featuring anaglyphs of geologic features from national parks. We used the same images for popular 3-D poster displays at the U.S. Geological Survey Open House 2003 in Menlo Park, CA. Anaglyph photography could easily be used in combined educational outdoor activities and laboratory exercises.

  5. Effectiveness of GeoWall Visualization Technology for Conceptualization of the Sun-Earth-Moon System

    NASA Astrophysics Data System (ADS)

    Turner, N. E.; Gray, C.; Mitchell, E. J.

    2004-12-01

    One persistent difficulty many introductory astronomy students face is the lack of a 3-dimensional mental model of the Earth-Moon system. Students without such a mental model can have a very hard time conceptualizing the geometric relationships that cause the cycle of lunar phases. The GeoWall is a recently developed and affordable projection mechanism for three-dimensional stereo visualization which is becoming a popular tool in classrooms and research labs. We present results from a study using a 3-D GeoWall with a simulated sunlit Earth-Moon system on undergraduate students' ability to understand the origins of lunar phases. We test students exposed to only in-class instruction, some with a laboratory exercise using the GeoWall Earth-Moon simulation, some students who were exposed to both, and some with an alternate activity involving lunar observations. Students are given pre and post tests using the a diagnostic test called the Lunar Phase Concept Inventory (LPCI). We discuss the effectiveness of this technology as a teaching tool for lunar phases.

  6. In Vivo Corneal Biomechanical Properties with Corneal Visualization Scheimpflug Technology in Chinese Population.

    PubMed

    Wu, Ying; Tian, Lei; Huang, Yi-Fei

    2016-01-01

    Purpose. To determine the repeatability of recalculated corneal visualization Scheimpflug technology (CorVis ST) parameters and to study the variation of biomechanical properties and their association with demographic and ocular characteristics. Methods. A total of 783 healthy subjects were included in this study. Comprehensive ophthalmological examinations were conducted. The repeatability of the recalculated biomechanical parameters with 90 subjects was assessed by the coefficient of variation (CV) and intraclass correlation coefficient (ICC). Univariate and multivariate linear regression models were used to identify demographic and ocular factors. Results. The repeatability of the central corneal thickness (CCT), deformation amplitude (DA), and first/second applanation time (A1/A2-time) exhibited excellent repeatability (CV% ≤ 3.312% and ICC ≥ 0.929 for all measurements). The velocity in/out (V in/out), highest concavity- (HC-) radius, peak distance (PD), and DA showed a normal distribution. Univariate linear regression showed a statistically significant correlation between V in, V out, DA, PD, and HC-radius and IOP, CCT, and corneal volume, respectively. Multivariate analysis showed that IOP and CCT were negatively correlated with V in, DA, and PD, while there was a positive correlation between V out and HC-radius. Conclusion. The ICCs of the recalculated parameters, CCT, DA, A1-time, and A2-time, exhibited excellent repeatability. IOP, CCT, and corneal volume significantly influenced the biomechanical properties of the eye. PMID:27493965

  7. Corneal Biomechanical Assessment Using Corneal Visualization Scheimpflug Technology in Keratoconic and Normal Eyes

    PubMed Central

    Huang, Yi-Fei; Wang, Li-Qiang; Bai, Hua; Wang, Qun; Jiang, Jing-Jing; Wu, Ying; Gao, Min

    2014-01-01

    Purpose. To compare the corneal biomechanical properties of keratoconic patients and age-matched controls using corneal visualization Scheimpflug technology (Corvis ST). Methods. Sixty keratoconic eyes from 47 keratoconus patients and 60 normal eyes from 60 controls were enrolled in this prospective study. Tomography and biomechanical parameters of all eyes were obtained with the Pentacam and Corvis ST, respectively. Intraocular pressure was measured using a Goldmann applanation tonometer. Results. The tomography and biomechanical parameters of the keratoconic corneas were significantly different from those of the normal corneas except for the anterior chamber angle, first applanation length, the highest concavity time, and peak distance. The deformation amplitude was the best predictive parameter (area under the curve: 0.882), with a sensitivity of 81.7%, although there was a significant overlap between keratoconic and normal corneas that ranged from 1.0 to 1.4 mm. In both the keratoconus and control groups, the deformation amplitude was negatively correlated with intraocular pressure, central corneal thickness, and corneal volume at 3 and 5 mm. Conclusions. Corvis ST offers an alternative method for measuring corneal biomechanical properties. The possibility of classifying keratoconus based on deformation amplitude deserves clinical attention. PMID:24800059

  8. In Vivo Corneal Biomechanical Properties with Corneal Visualization Scheimpflug Technology in Chinese Population

    PubMed Central

    Wu, Ying

    2016-01-01

    Purpose. To determine the repeatability of recalculated corneal visualization Scheimpflug technology (CorVis ST) parameters and to study the variation of biomechanical properties and their association with demographic and ocular characteristics. Methods. A total of 783 healthy subjects were included in this study. Comprehensive ophthalmological examinations were conducted. The repeatability of the recalculated biomechanical parameters with 90 subjects was assessed by the coefficient of variation (CV) and intraclass correlation coefficient (ICC). Univariate and multivariate linear regression models were used to identify demographic and ocular factors. Results. The repeatability of the central corneal thickness (CCT), deformation amplitude (DA), and first/second applanation time (A1/A2-time) exhibited excellent repeatability (CV% ≤ 3.312% and ICC ≥ 0.929 for all measurements). The velocity in/out (Vin/out), highest concavity- (HC-) radius, peak distance (PD), and DA showed a normal distribution. Univariate linear regression showed a statistically significant correlation between Vin, Vout, DA, PD, and HC-radius and IOP, CCT, and corneal volume, respectively. Multivariate analysis showed that IOP and CCT were negatively correlated with Vin, DA, and PD, while there was a positive correlation between Vout and HC-radius. Conclusion. The ICCs of the recalculated parameters, CCT, DA, A1-time, and A2-time, exhibited excellent repeatability. IOP, CCT, and corneal volume significantly influenced the biomechanical properties of the eye. PMID:27493965

  9. Visualizing sexual assault: an exploration of the use of optical technologies in the medico-legal context.

    PubMed

    White, Deborah; Du Mont, Janice

    2009-01-01

    This article is an exploration of the visualization of sexual assault in the context of adult women. In investigating the production of visual evidence, we outline the evolution of the specialized knowledge of medico-legal experts and describe the optical technologies involved in medical forensic examinations. We theorize that the principles and practices characterizing medicine, science and the law are mirrored in the medico-legal response to sexual assault. More specifically, we suggest that the demand for visual proof underpins the positivist approach taken in the pursuit of legal truth and that the generation of such evidence is based on producing discrete and decontextualized empirical facts through what are perceived to be objective technologies. Drawing on interview and focus group data with 14 sexual assault nurse examiners (SANEs) in Ontario, Canada, we examine perceptions and experiences of the role of the visual in sexual assault. Certain of their comments appear to lend support to our theoretical assumptions, indicating a sense of the institutional overemphasis placed on physical damage to sexually assaulted women's bodies and the drive towards the increased technologization of visual evidence documentation. They also noted that physical injuries are frequently absent and that those observed through more refined tools of microvisualization such as colposcopes may be explained away as having resulted from either vigorous consensual sex or a "trivial" sexual assault. Concerns were expressed regarding the possibly problematic ways in which either the lack or particular nature of visual evidence may play out in the legal context. The process of documenting external and internal injuries created for some an uncomfortable sense of fragmenting and objectifying the bodies of those women they must simultaneously care for. We point to the need for further research to enhance our understanding of this issue. PMID:18952339

  10. Visual and auditory synchronization deficits among dyslexic readers as compared to non-impaired readers: a cross-correlation algorithm analysis

    PubMed Central

    Sela, Itamar

    2014-01-01

    Visual and auditory temporal processing and crossmodal integration are crucial factors in the word decoding process. The speed of processing (SOP) gap (Asynchrony) between these two modalities, which has been suggested as related to the dyslexia phenomenon, is the focus of the current study. Nineteen dyslexic and 17 non-impaired University adult readers were given stimuli in a reaction time (RT) procedure where participants were asked to identify whether the stimulus type was only visual, only auditory or crossmodally integrated. Accuracy, RT, and Event Related Potential (ERP) measures were obtained for each of the three conditions. An algorithm to measure the contribution of the temporal SOP of each modality to the crossmodal integration in each group of participants was developed. Results obtained using this model for the analysis of the current study data, indicated that in the crossmodal integration condition the presence of the auditory modality at the pre-response time frame (between 170 and 240 ms after stimulus presentation), increased processing speed in the visual modality among the non-impaired readers, but not in the dyslexic group. The differences between the temporal SOP of the modalities among the dyslexics and the non-impaired readers give additional support to the theory that an asynchrony between the visual and auditory modalities is a cause of dyslexia. PMID:24959125

  11. [Research on the Source Identification of Mine Water Inrush Based on LIF Technology and SIMCA Algorithm].

    PubMed

    Yan, Peng-cheng; Zhou, Meng-ran; Liu, Qi-meng; Zhang, Kai-yuan; He, Chen-yang

    2016-01-01

    Rapid source identification of mine water inrush is of great significance for early warning and prevention in mine water hazard. According to the problem that traditional chemical methods to identify source takes a long time, put forward a method for rapid source identification of mine water inrush with laser induced fluorescence (LIF) technology and soft independent modeling of class analogy (SIMCA) algorithm. Laser induced fluorescence technology has the characteristics of fast analysis, high sensitivity and so on. With the laser assisted, fluorescence spectrums can be collected real-time by the fluorescence spectrometer. According to the fluorescence spectrums, the type of water samples can be identified. If the database is completed, it takes a few seconds for coal mine water source identification, so it is of great significance for early warning and post-disaster relief in coal mine water disaster. The experiment uses 405 nm laser emission laser into the 5 kinds of water inrush samples and get 100 groups of fluorescence spectrum, and then put all fluorescence spectrums into preprocessing. Use 15 group spectrums of each water inrush samples, a total of 75 group spectrums, as the prediction set, the rest of 25 groups spectrums as the test set. Using principal component analysis (PCA) to modeling the 5 kinds of water samples respectively, and then classify the water samples with SIMCA on the basis of the PCA model. It was found that the fluorescence spectrum are obvious different of different water inrush samples. The fluorescence spectrums after preprocessing of Gaussian-Filter, under the condition of the principal component number is 2 and the significant level α = 5%, the accuracy of prediction set and testing set are all 100% with the SIMCA to classify the water inrush samples. PMID:27228775

  12. SBIR Phase II Final Report for Scalable Grid Technologies for Visualization Services

    SciTech Connect

    Sebastien Barre; Will Schroeder

    2006-10-15

    This project developed software tools for the automation of grid computing. In particular, the project focused in visualization and imaging tools (VTK, ParaView and ITK); i.e., we developed tools to automatically create Grid services from C++ programs implemented using the open-source VTK visualization and ITK segmentation and registration systems. This approach helps non-Grid experts to create applications using tools with which they are familiar, ultimately producing Grid services for visualization and image analysis by invocation of an automatic process.

  13. Setting visual pre-placement testing in a technology manufacturing environment.

    PubMed

    Gowan, Nancy J

    2014-01-01

    Every day we use our eyes to perform activities of daily living and work. Aging changes as well as health conditions can impact an individual's visual function, making it more difficult to accurately perform work activities. Occupational therapists work closely with optometrists and employers to develop ways to accommodate for these changes so that the employee can continue to perform the work tasks. This manuscript outlines a case study of systematically developing visual demands analyses and pre-placement vision screening assessment protocols for individuals completing quality inspection positions. When the vision screening was completed, it was discovered that over 20% of the employees had visual deficits that were correctable. This screening process yielded improved quality results but also identification of previously undetected visual deficits. Further development of vision screening in the workplace is supported.

  14. Restoring Fort Frontenac in 3D: Effective Usage of 3D Technology for Heritage Visualization

    NASA Astrophysics Data System (ADS)

    Yabe, M.; Goins, E.; Jackson, C.; Halbstein, D.; Foster, S.; Bazely, S.

    2015-02-01

    This paper is composed of three elements: 3D modeling, web design, and heritage visualization. The aim is to use computer graphics design to inform and create an interest in historical visualization by rebuilding Fort Frontenac using 3D modeling and interactive design. The final model will be integr ated into an interactive website to learn more about the fort's historic imp ortance. It is apparent that using computer graphics can save time and money when it comes to historical visualization. Visitors do not have to travel to the actual archaeological buildings. They can simply use the Web in their own home to learn about this information virtually. Meticulously following historical records to create a sophisticated restoration of archaeological buildings will draw viewers into visualizations, such as the historical world of Fort Frontenac. As a result, it allows the viewers to effectively understand the fort's social sy stem, habits, and historical events.

  15. The Eye Phone Study: reliability and accuracy of assessing Snellen visual acuity using smartphone technology

    PubMed Central

    Perera, C; Chakrabarti, R; Islam, F M A; Crowston, J

    2015-01-01

    Purpose Smartphone-based Snellen visual acuity charts has become popularized; however, their accuracy has not been established. This study aimed to evaluate the equivalence of a smartphone-based visual acuity chart with a standard 6-m Snellen visual acuity (6SVA) chart. Methods First, a review of available Snellen chart applications on iPhone was performed to determine the most accurate application based on optotype size. Subsequently, a prospective comparative study was performed by measuring conventional 6SVA and then iPhone visual acuity using the ‘Snellen' application on an Apple iPhone 4. Results Eleven applications were identified, with accuracy of optotype size ranging from 4.4–39.9%. Eighty-eight patients from general medical and surgical wards in a tertiary hospital took part in the second part of the study. The mean difference in logMAR visual acuity between the two charts was 0.02 logMAR (95% limit of agreement −0.332, 0.372 logMAR). The largest mean difference in logMAR acuity was noted in the subgroup of patients with 6SVA worse than 6/18 (n=5), who had a mean difference of two Snellen visual acuity lines between the charts (0.276 logMAR). Conclusion We did not identify a Snellen visual acuity app at the time of study, which could predict a patients standard Snellen visual acuity within one line. There was considerable variability in the optotype accuracy of apps. Further validation is required for assessment of acuity in patients with severe vision impairment. PMID:25931170

  16. A low-power imager and compression algorithms for a brain-machine visual prosthesis for the blind

    NASA Astrophysics Data System (ADS)

    Turicchia, L.; O'Halloran, M.; Kumar, D. P.; Sarpeshkar, R.

    2008-08-01

    We present a synchronous time-based dual-threshold imager that experimentally achieves 95.5 dB dynamic range, while consuming 1.79 nJ/pixel/frame, making it one of the most wide-dynamic-range energy-efficient imagers reported. The imager has 150×256 pixels, with a pixel pitch of 12.5μm × 12.5μm and a fill factor of 42.7%. The imager is intended for use in a brain-machine visual prosthesis for the blind where energy efficiency and power are of paramount importance. Such prostheses will also need to convey visual information to patients with relatively few electrodes and in a manner that minimizes electrode interactions, just as cochlear implants have accomplished for deaf subjects. To achieve these goals, we present a strategy that compresses visual information into the basis coefficients of a few image kernels that encode enough information to provide reasonably good image reconstruction with 60 electrodes. The strategy also uses time-multiplexed stimulation of electrodes to minimize channel interactions like the continuous interleaved sampling (CIS) strategy used in cochlear implants. Some of the image kernels that we employ are similar to the receptive fields observed in biology and may thus be natural to learn, just as cochlear-implant subjects have learned to reconstruct sound from a few filter basis coefficients.

  17. Computer architecture for efficient algorithmic executions in real-time systems: New technology for avionics systems and advanced space vehicles

    NASA Technical Reports Server (NTRS)

    Carroll, Chester C.; Youngblood, John N.; Saha, Aindam

    1987-01-01

    Improvements and advances in the development of computer architecture now provide innovative technology for the recasting of traditional sequential solutions into high-performance, low-cost, parallel system to increase system performance. Research conducted in development of specialized computer architecture for the algorithmic execution of an avionics system, guidance and control problem in real time is described. A comprehensive treatment of both the hardware and software structures of a customized computer which performs real-time computation of guidance commands with updated estimates of target motion and time-to-go is presented. An optimal, real-time allocation algorithm was developed which maps the algorithmic tasks onto the processing elements. This allocation is based on the critical path analysis. The final stage is the design and development of the hardware structures suitable for the efficient execution of the allocated task graph. The processing element is designed for rapid execution of the allocated tasks. Fault tolerance is a key feature of the overall architecture. Parallel numerical integration techniques, tasks definitions, and allocation algorithms are discussed. The parallel implementation is analytically verified and the experimental results are presented. The design of the data-driven computer architecture, customized for the execution of the particular algorithm, is discussed.

  18. Computer architecture for efficient algorithmic executions in real-time systems: new technology for avionics systems and advanced space vehicles

    SciTech Connect

    Carroll, C.C.; Youngblood, J.N.; Saha, A.

    1987-12-01

    Improvements and advances in the development of computer architecture now provide innovative technology for the recasting of traditional sequential solutions into high-performance, low-cost, parallel system to increase system performance. Research conducted in development of specialized computer architecture for the algorithmic execution of an avionics system, guidance and control problem in real time is described. A comprehensive treatment of both the hardware and software structures of a customized computer which performs real-time computation of guidance commands with updated estimates of target motion and time-to-go is presented. An optimal, real-time allocation algorithm was developed which maps the algorithmic tasks onto the processing elements. This allocation is based on the critical path analysis. The final stage is the design and development of the hardware structures suitable for the efficient execution of the allocated task graph. The processing element is designed for rapid execution of the allocated tasks. Fault tolerance is a key feature of the overall architecture. Parallel numerical integration techniques, tasks definitions, and allocation algorithms are discussed. The parallel implementation is analytically verified and the experimental results are presented. The design of the data-driven computer architecture, customized for the execution of the particular algorithm, is discussed.

  19. Multi-parallel open technology to enable collaborative volume visualization: how to create global immersive virtual anatomy classrooms.

    PubMed

    Silverstein, Jonathan C; Walsh, Colin; Dech, Fred; Olson, Eric; E, Michael; Parsad, Nigel; Stevens, Rick

    2008-01-01

    Many prototype projects aspire to develop a sustainable model of immersive radiological volume visualization for virtual anatomic education. Some have focused on distributed or parallel architectures. However, very few, if any others, have combined multi-location, multi-directional, multi-stream sharing of video, audio, desktop applications, and parallel stereo volume rendering, to converge on an open, globally scalable, and inexpensive collaborative architecture and implementation method for anatomic teaching using radiological volumes. We have focused our efforts on bringing this all together for several years. We outline here the technology we're making available to the open source community and a system implementation suggestion for how to create global immersive virtual anatomy classrooms. With the releases of Access Grid 3.1 and our parallel stereo volume rendering code, inexpensive globally scalable technology is available to enable collaborative volume visualization upon an award-winning framework. Based upon these technologies, immersive virtual anatomy classrooms that share educational or clinical principles can be constructed with the setup described with moderate technological expertise and global scalability.

  20. Direct or Directed: Orchestrating a More Harmonious Approach to Teaching Technology within an Art & Design Higher Education Curriculum with Special Reference to Visual Communications Courses

    ERIC Educational Resources Information Center

    Marshall, Lindsey; Meachem, Lester

    2007-01-01

    In this scoping study we have investigated the integration of subject-specific software into the structure of visual communications courses. There is a view that the response within visual communications courses to the rapid developments in technology has been linked to necessity rather than by design. Through perceptions of staff with day-to-day…

  1. Visual Prostheses: The Enabling Technology to Give Sight to the Blind

    PubMed Central

    Maghami, Mohammad Hossein; Sodagar, Amir Masoud; Lashay, Alireza; Riazi-Esfahani, Hamid; Riazi-Esfahani, Mohammad

    2014-01-01

    Millions of patients are either slowly losing their vision or are already blind due to retinal degenerative diseases such as retinitis pigmentosa (RP) and age-related macular degeneration (AMD) or because of accidents or injuries. Employment of artificial means to treat extreme vision impairment has come closer to reality during the past few decades. Currently, many research groups work towards effective solutions to restore a rudimentary sense of vision to the blind. Aside from the efforts being put on replacing damaged parts of the retina by engineered living tissues or microfabricated photoreceptor arrays, implantable electronic microsystems, referred to as visual prostheses, are also sought as promising solutions to restore vision. From a functional point of view, visual prostheses receive image information from the outside world and deliver them to the natural visual system, enabling the subject to receive a meaningful perception of the image. This paper provides an overview of technical design aspects and clinical test results of visual prostheses, highlights past and recent progress in realizing chronic high-resolution visual implants as well as some technical challenges confronted when trying to enhance the functional quality of such devices. PMID:25709777

  2. Quantitative Assessment of Magnetic Sensor Signal Processing Algorithms in a Wireless Tongue-Operated Assistive Technology

    PubMed Central

    Ayala-Acevedo, Abner; Ghovanloo, Maysam

    2015-01-01

    In this paper, we evaluate the overall performance of various magnetic-sensor signal processing (mSSP) algorithms for the Tongue Drive System based on a comprehensive dataset collected from trials with a total of eight able-bodied subjects. More specifically, we measure the performance of nine classifiers on the two-stage classification used by the mSSP algorithm, in order to learn how to improve the current algorithm. Results show that is it possible to reduce misclassification error from 5.95% and 20.13% to 3.98% and 5.63%, from the two assessed datasets, respectively, without sacrificing correctness. Furthermore, since the mSSP algorithm must run in real time, the results show where to focus the computational resources when they are constrained by the platforms with limited resources, such as smartphones. PMID:23366729

  3. Visual illusions on the Internet: 15 years of change in technology and user behavior.

    PubMed

    Bach, Michael

    2014-01-01

    Abstract. Looking back over 15 years of demonstrating visual phenomena and optical illusions on the Internet, I will discuss two major topics. The first concerns the methodology used to present interactive visual experiments on the web, with respect to (a) wide accessibility, ie independent of browser and platform, (b) capable and elegant graphic user interface, (c) sufficient computational power, (d) ease of development and, finally, (e) future-proofing in an ever-changing online environment. The second major topic addresses some aspects of user behaviour, mainly temporal patterns (eg changes over weeks. years, long-term), which reveal that there are more visitors during office hours.

  4. Next Slide Please: The Magical, Scientific and Corporate Discourses of Visual Projection Technologies

    ERIC Educational Resources Information Center

    Eisenhauer, Jennifer F.

    2006-01-01

    This article examines the cultural history of slide projection technologies by focusing upon how such technologies acquire cultural meaning. The meanings acquired by these technologies emerge in areas as diverse as public and domestic entertainment, religion, science, and education. I identify three important discursive shifts impacting the…

  5. Augmented Reality as a Visual and Spatial Learning Tool in Technology Education

    ERIC Educational Resources Information Center

    Thornton, Timothy; Ernst, Jeremy V.; Clark, Aaron C.

    2012-01-01

    Improvement in instructional practices through dynamic means of delivery remains a central consideration to technology educators. To help accomplish this, one must constantly utilize contemporary and cutting-edge technological applications in attempts to provide a more beneficial learning experience for students. These technologies must…

  6. A Wheelchair User with Visual and Intellectual Disabilities Managing Simple Orientation Technology for Indoor Travel

    ERIC Educational Resources Information Center

    Lancioni, Giulio E.; O'Reilly, Mark F.; Singh, Nirbhay N.; Sigafoos, Jeff; Campodonico, Francesca; Oliva, Doretta

    2009-01-01

    Persons with profound visual impairments and other disabilities, such as neuromotor and intellectual disabilities, may encounter serious orientation and mobility problems even in familiar indoor environments, such as their homes. Teaching these persons to develop maps of their daily environment, using miniature replicas of the areas or some…

  7. Training Inservice Teachers to Use Technology: Experience with the Visual Response System.

    ERIC Educational Resources Information Center

    Heward, William L.; And Others

    1981-01-01

    The authors describe their experiences and give suggestions for training inservice special education teachers to use the Visual Response System (VRS), a specially designed classroom in which each student responds to every question or problem by means of overhead projectors and headphone-microphone sets. (CL)

  8. Nuclear Technology. Course 26: Nondestructive Examination (NDE) Techniques I. Module 26-1, Visual Tests.

    ERIC Educational Resources Information Center

    Wasil, Ed

    This first in a series of seven modules for a course titled Nondestructive Examination (NDE) Techniques I describes visual examination as an independent inspection activity. The module follows a typical format that includes the following sections: (1) introduction, (2) module prerequisites, (3) objectives, (4) notes to instructor/student, (5)…

  9. A "Thinking Journey" to the Planets Using Scientific Visualization Technologies: Implications to Astronomy Education.

    ERIC Educational Resources Information Center

    Yair, Yoav; Schur, Yaron; Mintz, Rachel

    2003-01-01

    Presents a novel approach to teaching astronomy and planetary sciences centered on visual images and simulations of planetary objects. Focuses on the study of the moon and the planet Mars by means of observations, interpretation, and comparison to planet Earth. (Contains 22 references.) (Author/YDS)

  10. Using Drawing Technology to Assess Students' Visualizations of Chemical Reaction Processes

    ERIC Educational Resources Information Center

    Chang, Hsin-Yi; Quintana, Chris; Krajcik, Joseph

    2014-01-01

    In this study, we investigated how students used a drawing tool to visualize their ideas of chemical reaction processes. We interviewed 30 students using thinking-aloud and retrospective methods and provided them with a drawing tool. We identified four types of connections the students made as they used the tool: drawing on existing knowledge,…

  11. Visualization of Two Dimensional to Three Dimensional Transformations--Exploration through Technology

    ERIC Educational Resources Information Center

    Costa, G. B.; Gorak, M.; Melendez, B. S.

    2006-01-01

    A small class of functions is described that easily lend themselves to two-dimensional and three-dimensional visualizations at the basic calculus level. The intended audience is those educators involved in the instruction of elementary calculus. This note is an educational piece that begins with the question: "What happens if a function defined on…

  12. Delaunay algorithm and principal component analysis for 3D visualization of mitochondrial DNA nucleoids by Biplane FPALM/dSTORM.

    PubMed

    Alán, Lukáš; Špaček, Tomáš; Ježek, Petr

    2016-07-01

    Data segmentation and object rendering is required for localization super-resolution microscopy, fluorescent photoactivation localization microscopy (FPALM), and direct stochastic optical reconstruction microscopy (dSTORM). We developed and validated methods for segmenting objects based on Delaunay triangulation in 3D space, followed by facet culling. We applied them to visualize mitochondrial nucleoids, which confine DNA in complexes with mitochondrial (mt) transcription factor A (TFAM) and gene expression machinery proteins, such as mt single-stranded-DNA-binding protein (mtSSB). Eos2-conjugated TFAM visualized nucleoids in HepG2 cells, which was compared with dSTORM 3D-immunocytochemistry of TFAM, mtSSB, or DNA. The localized fluorophores of FPALM/dSTORM data were segmented using Delaunay triangulation into polyhedron models and by principal component analysis (PCA) into general PCA ellipsoids. The PCA ellipsoids were normalized to the smoothed volume of polyhedrons or by the net unsmoothed Delaunay volume and remodeled into rotational ellipsoids to obtain models, termed DVRE. The most frequent size of ellipsoid nucleoid model imaged via TFAM was 35 × 45 × 95 nm; or 35 × 45 × 75 nm for mtDNA cores; and 25 × 45 × 100 nm for nucleoids imaged via mtSSB. Nucleoids encompassed different point density and wide size ranges, speculatively due to different activity stemming from different TFAM/mtDNA stoichiometry/density. Considering twofold lower axial vs. lateral resolution, only bulky DVRE models with an aspect ratio >3 and tilted toward the xy-plane were considered as two proximal nucleoids, suspicious occurring after division following mtDNA replication. The existence of proximal nucleoids in mtDNA-dSTORM 3D images of mtDNA "doubling"-supported possible direct observations of mt nucleoid division after mtDNA replication.

  13. Evaluation of Static vs. Dynamic Visualizations for Engineering Technology Students and Implications on Spatial Visualization Ability: A Quasi-Experimental Study

    ERIC Educational Resources Information Center

    Katsioloudis, Petros; Dickerson, Daniel; Jovanovic, Vukica; Jones, Mildred

    2015-01-01

    The benefit of using static versus dynamic visualizations is a controversial one. Few studies have explored the effectiveness of static visualizations to those of dynamic visualizations, and the current state of the literature remains somewhat unclear. During the last decade there has been a lengthy debate about the opportunities for using…

  14. Compiler Optimization Pass Visualization: The Procedural Abstraction Case

    ERIC Educational Resources Information Center

    Schaeckeler, Stefan; Shang, Weijia; Davis, Ruth

    2009-01-01

    There is an active research community concentrating on visualizations of algorithms taught in CS1 and CS2 courses. These visualizations can help students to create concrete visual images of the algorithms and their underlying concepts. Not only "fundamental algorithms" can be visualized, but also algorithms used in compilers. Visualizations that…

  15. [Hyperspectral technology combined with CARS algorithm to quantitatively determine the SSC in Korla fragrant pear].

    PubMed

    Zhan, Bai-Shao; Ni, Jun-Hui; Li, Jun

    2014-10-01

    Hyperspectral imaging has large data volume and high dimensionality, and original spectra data includes a lot of noises and severe scattering. And, quality of acquired hyperspectral data can be influenced by non-monochromatic light, external stray light and temperature, which resulted in having some non-linear relationship between the acquired hyperspectral data and the predicted quality index. Therefore, the present study proposed that competitive adaptive reweighted sampling (CARS) algorithm is used to select the key variables from visible and near infrared hyperspectral data. The performance of CARS was compared with full spectra, successive projections algorithm (SPA), Monte Carlo-uninformative variable elimination (MC-UVE), genetic algorithm (GA) and GA-SPA (genetic algorithm-successive projections algorithm). Two hundred Korla fragrant pears were used as research object. SPXY algorithm was used to divided sample set to correction set with 150 samples and prediction set with 50 samples, respectively. Based on variables selected by different methods, linear PLS and nonlinear LS-SVM models were developed, respectively, and the performance of models was assessed using parameters r2, RMSEP and RPD. A comprehensive comparison found that GA, GA-SPA and CARS can effectively select the variables with strong and useful information. These methods can be used for selection of Vis-NIR hyperspectral data variables, particularly for CARS. LS-SVM model can obtain the best results for SSC prediction of Korla fragrant pear based on variables obtained from CARS method. r2, RMSEP and RPD were 0.851 2, 0.291 3 and 2.592 4, respectively. The study showed that CARS is an effectively hyperspectral variable selection method, and nonlinear LS-SVM model is more suitable than linear PLS model for quantitatively determining the quality of fra- grant pear based on hyperspectral information. PMID:25739220

  16. GPU-accelerated atom and dynamic bond visualization using hyperballs: a unified algorithm for balls, sticks, and hyperboloids.

    PubMed

    Chavent, Matthieu; Vanel, Antoine; Tek, Alex; Levy, Bruno; Robert, Sophie; Raffin, Bruno; Baaden, Marc

    2011-10-01

    Ray casting on graphics processing units (GPUs) opens new possibilities for molecular visualization. We describe the implementation and calculation of diverse molecular representations such as licorice, ball-and-stick, space-filling van der Waals spheres, and approximated solvent-accessible surfaces using GPUs. We introduce HyperBalls, an improved ball-and-stick representation replacing tubes, linking the atom spheres by hyperboloids that can smoothly connect them. This type of depiction is particularly useful to represent dynamic phenomena, such as the evolution of noncovalent bonds. It is furthermore well suited to represent coarse-grained models and spring networks. All these representations can be defined by a single general algebraic equation that is adapted for the ray-casting technique and is well suited for execution on the GPU. Using GPU capabilities, this implementation can routinely, accurately, and interactively render molecules ranging from a few atoms up to huge macromolecular assemblies with more than 500,000 particles. In simple cases, based only on spheres, we have been able to display up to two million atoms smoothly.

  17. A Novel LTE Scheduling Algorithm for Green Technology in Smart Grid

    PubMed Central

    Hindia, Mohammad Nour; Reza, Ahmed Wasif; Noordin, Kamarul Ariffin; Chayon, Muhammad Hasibur Rashid

    2015-01-01

    Smart grid (SG) application is being used nowadays to meet the demand of increasing power consumption. SG application is considered as a perfect solution for combining renewable energy resources and electrical grid by means of creating a bidirectional communication channel between the two systems. In this paper, three SG applications applicable to renewable energy system, namely, distribution automation (DA), distributed energy system-storage (DER) and electrical vehicle (EV), are investigated in order to study their suitability in Long Term Evolution (LTE) network. To compensate the weakness in the existing scheduling algorithms, a novel bandwidth estimation and allocation technique and a new scheduling algorithm are proposed. The technique allocates available network resources based on application’s priority, whereas the algorithm makes scheduling decision based on dynamic weighting factors of multi-criteria to satisfy the demands (delay, past average throughput and instantaneous transmission rate) of quality of service. Finally, the simulation results demonstrate that the proposed mechanism achieves higher throughput, lower delay and lower packet loss rate for DA and DER as well as provide a degree of service for EV. In terms of fairness, the proposed algorithm shows 3%, 7 % and 9% better performance compared to exponential rule (EXP-Rule), modified-largest weighted delay first (M-LWDF) and exponential/PF (EXP/PF), respectively. PMID:25830703

  18. A novel LTE scheduling algorithm for green technology in smart grid.

    PubMed

    Hindia, Mohammad Nour; Reza, Ahmed Wasif; Noordin, Kamarul Ariffin; Chayon, Muhammad Hasibur Rashid

    2015-01-01

    Smart grid (SG) application is being used nowadays to meet the demand of increasing power consumption. SG application is considered as a perfect solution for combining renewable energy resources and electrical grid by means of creating a bidirectional communication channel between the two systems. In this paper, three SG applications applicable to renewable energy system, namely, distribution automation (DA), distributed energy system-storage (DER) and electrical vehicle (EV), are investigated in order to study their suitability in Long Term Evolution (LTE) network. To compensate the weakness in the existing scheduling algorithms, a novel bandwidth estimation and allocation technique and a new scheduling algorithm are proposed. The technique allocates available network resources based on application's priority, whereas the algorithm makes scheduling decision based on dynamic weighting factors of multi-criteria to satisfy the demands (delay, past average throughput and instantaneous transmission rate) of quality of service. Finally, the simulation results demonstrate that the proposed mechanism achieves higher throughput, lower delay and lower packet loss rate for DA and DER as well as provide a degree of service for EV. In terms of fairness, the proposed algorithm shows 3%, 7 % and 9% better performance compared to exponential rule (EXP-Rule), modified-largest weighted delay first (M-LWDF) and exponential/PF (EXP/PF), respectively.

  19. A novel LTE scheduling algorithm for green technology in smart grid.

    PubMed

    Hindia, Mohammad Nour; Reza, Ahmed Wasif; Noordin, Kamarul Ariffin; Chayon, Muhammad Hasibur Rashid

    2015-01-01

    Smart grid (SG) application is being used nowadays to meet the demand of increasing power consumption. SG application is considered as a perfect solution for combining renewable energy resources and electrical grid by means of creating a bidirectional communication channel between the two systems. In this paper, three SG applications applicable to renewable energy system, namely, distribution automation (DA), distributed energy system-storage (DER) and electrical vehicle (EV), are investigated in order to study their suitability in Long Term Evolution (LTE) network. To compensate the weakness in the existing scheduling algorithms, a novel bandwidth estimation and allocation technique and a new scheduling algorithm are proposed. The technique allocates available network resources based on application's priority, whereas the algorithm makes scheduling decision based on dynamic weighting factors of multi-criteria to satisfy the demands (delay, past average throughput and instantaneous transmission rate) of quality of service. Finally, the simulation results demonstrate that the proposed mechanism achieves higher throughput, lower delay and lower packet loss rate for DA and DER as well as provide a degree of service for EV. In terms of fairness, the proposed algorithm shows 3%, 7 % and 9% better performance compared to exponential rule (EXP-Rule), modified-largest weighted delay first (M-LWDF) and exponential/PF (EXP/PF), respectively. PMID:25830703

  20. Three-Dimensional Media Technologies: Potentials for Study in Visual Literacy.

    ERIC Educational Resources Information Center

    Thwaites, Hal

    This paper presents an overview of three-dimensional media technologies (3Dmt). Many of the new 3Dmt are the direct result of interactions of computing, communications, and imaging technologies. Computer graphics are particularly well suited to the creation of 3D images due to the high resolution and programmable nature of the current displays.…

  1. Learning about Urban Ecology through the Use of Visualization and Geospatial Technologies

    ERIC Educational Resources Information Center

    Barnett, Michael; Houle, Meredith; Mark, Sheron; Strauss, Eric; Hoffman, Emily

    2010-01-01

    During the past three years we have been designing and implementing a technology enhanced urban ecology program using geographic information systems (GIS) coupled with technology. Our initial work focused on professional development for in-service teachers and implementation in K-12 classrooms. However, upon reflection and analysis of the…

  2. Visual Literacy and Just-In-Time-Training: Enabling Learners through Technology.

    ERIC Educational Resources Information Center

    Burton, Terry

    Quality education is often impeded by lack of instructor time and by a failure to provide instruction that is individualized and at the point of need. Integration technology into course development can alleviate these problems, but only if the technology is easy to learn and supports a systems approach. In implementing a Web-based Technical…

  3. Applying Technology to Visually Support Language and Communication in Individuals with Autism Spectrum Disorders

    ERIC Educational Resources Information Center

    Shane, Howard C.; Laubscher, Emily H.; Schlosser, Ralf W.; Flynn, Suzanne; Sorce, James F.; Abramson, Jennifer

    2012-01-01

    The burgeoning role of technology in society has provided opportunities for the development of new means of communication for individuals with Autism Spectrum Disorders (ASD). This paper offers an organizational framework for describing traditional and emerging augmentative and alternative communication (AAC) technology, and highlights how tools…

  4. Influences on Visual Spatial Rotation: Science, Technology, Engineering, and Mathematics (STEM) Experiences, Age, and Gender

    ERIC Educational Resources Information Center

    Perry, Paula Christine

    2013-01-01

    Science, Technology, Engineering, and Mathematics (STEM) education curriculum is designed to strengthen students' science and math achievement through project based learning activities. As part of a STEM initiative, SeaPerch was developed at Massachusetts Institute of Technology. SeaPerch is an innovative underwater robotics program that…

  5. Comparison between PCR and larvae visualization methods for diagnosis of Strongyloides stercoralis out of endemic area: A proposed algorithm.

    PubMed

    Repetto, Silvia A; Ruybal, Paula; Solana, María Elisa; López, Carlota; Berini, Carolina A; Alba Soto, Catalina D; Cappa, Stella M González

    2016-05-01

    Underdiagnosis of chronic infection with the nematode Strongyloides stercoralis may lead to severe disease in the immunosuppressed. Thus, we have set-up a specific and highly sensitive molecular diagnosis in stool samples. Here, we compared the accuracy of our polymerase chain reaction (PCR)-based method with that of conventional diagnostic methods for chronic infection. We also analyzed clinical and epidemiological predictors of infection to propose an algorithm for the diagnosis of strongyloidiasis useful for the clinician. Molecular and gold standard methods were performed to evaluate a cohort of 237 individuals recruited in Buenos Aires, Argentina. Subjects were assigned according to their immunological status, eosinophilia and/or history of residence in endemic areas. Diagnosis of strongyloidiasis by PCR on the first stool sample was achieved in 71/237 (29.9%) individuals whereas only 35/237(27.4%) were positive by conventional methods, requiring up to four serial stool samples at weekly intervals. Eosinophilia and history of residence in endemic areas have been revealed as independent factors as they increase the likelihood of detecting the parasite according to our study population. Our results underscore the usefulness of robust molecular tools aimed to diagnose chronic S. stercoralis infection. Evidence also highlights the need to survey patients with eosinophilia even when history of an endemic area is absent.

  6. Stereoscopic visualization and haptic technology used to create a virtual environment for remote surgery - biomed 2011.

    PubMed

    Bornhoft, J M; Strabala, K W; Wortman, T D; Lehman, A C; Oleynikov, D; Farritor, S M

    2011-01-01

    The objective of this research is to study the effectiveness of using a stereoscopic visualization system for performing remote surgery. The use of stereoscopic vision has become common with the advent of the da Vinci® system (Intuitive, Sunnyvale CA). This system creates a virtual environment that consists of a 3-D display for visual feedback and haptic tactile feedback, together providing an intuitive environment for remote surgical applications. This study will use simple in vivo robotic surgical devices and compare the performance of surgeons using the stereoscopic interfacing system to the performance of surgeons using one dimensional monitors. The stereoscopic viewing system consists of two cameras, two monitors, and four mirrors. The cameras are mounted to a multi-functional miniature in vivo robot; and mimic the depth perception of the actual human eyes. This is done by placing the cameras at a calculated angle and distance apart. Live video streams from the left and right cameras are displayed on the left and right monitors, respectively. A system of angled mirrors allows the left and right eyes to see the video stream from the left and right monitor, respectively, creating the illusion of depth. The haptic interface consists of two PHANTOM Omni® (SensAble, Woburn Ma) controllers. These controllers measure the position and orientation of a pen-like end effector with three degrees of freedom. As the surgeon uses this interface, they see a 3-D image and feel force feedback for collision and workspace limits. The stereoscopic viewing system has been used in several surgical training tests and shows a potential improvement in depth perception and 3-D vision. The haptic system accurately gives force feedback that aids in surgery. Both have been used in non-survival animal surgeries, and have successfully been used in suturing and gallbladder removal. Bench top experiments using the interfacing system have also been conducted. A group of participants completed

  7. A Visual Dashboard for Moving Health Technologies From “Lab to Village”

    PubMed Central

    Singer, Peter A

    2007-01-01

    New technologies are an important way of addressing global health challenges and human development. However, the road for new technologies from “lab to village” is neither simple nor straightforward. Until recently, there has been no conceptual framework for analyzing and addressing the myriad forces and issues involved in moving health technologies from the lab to those who need them. Recently, based on empirical research, we published such a model. In this paper, we focus on extending the model into a dashboard and examine how this dashboard can be used to manage the information related to the path from lab to village. The next step will be for groups interested in global health, and even the public via the Internet, to use the tool to help guide technologies down this tricky path to improve global health and foster human development. PMID:17951216

  8. Social representations of electricity network technologies: exploring processes of anchoring and objectification through the use of visual research methods.

    PubMed

    Devine-Wright, Hannah; Devine-Wright, Patrick

    2009-06-01

    The aim of this study was to explore everyday thinking about the UK electricity network, in light of government policy to increase the generation of electricity from renewable energy sources. Existing literature on public perceptions of electricity network technologies was broadened by adopting a more socially embedded conception of the construction of knowledge using the theory of social representations (SRT) to explore symbolic associations with network technologies. Drawing and association tasks were administered within nine discussion groups held in two places: a Scottish town where significant upgrades to the local transmission network were planned and an English city with no such plans. Our results illustrate the ways in which network technologies, such as high voltage (HV) pylons, are objectified in talk and drawings. These invoked positive as well as negative symbolic and affective associations, both at the level of specific pylons, and the 'National Grid' as a whole and are anchored in understanding of other networks such as mobile telecommunications. We conclude that visual methods are especially useful for exploring beliefs about technologies that are widespread, proximal to our everyday experience but nevertheless unfamiliar topics of everyday conversation.

  9. Using virtual reality technology for aircraft visual inspection training: presence and comparison studies.

    PubMed

    Vora, Jeenal; Nair, Santosh; Gramopadhye, Anand K; Duchowski, Andrew T; Melloy, Brian J; Kanki, Barbara

    2002-11-01

    The aircraft maintenance industry is a complex system consisting of several interrelated human and machine components. Recognizing this, the Federal Aviation Administration (FAA) has pursued human factors related research. In the maintenance arena the research has focused on the aircraft inspection process and the aircraft inspector. Training has been identified as the primary intervention strategy to improve the quality and reliability of aircraft inspection. If training is to be successful, it is critical that we provide aircraft inspectors with appropriate training tools and environment. In response to this need, the paper outlines the development of a virtual reality (VR) system for aircraft inspection training. VR has generated much excitement but little formal proof that it is useful. However, since VR interfaces are difficult and expensive to build, the computer graphics community needs to be able to predict which applications will benefit from VR. To address this important issue, this research measured the degree of immersion and presence felt by subjects in a virtual environment simulator. Specifically, it conducted two controlled studies using the VR system developed for visual inspection task of an aft-cargo bay at the VR Lab of Clemson University. Beyond assembling the visual inspection virtual environment, a significant goal of this project was to explore subjective presence as it affects task performance. The results of this study indicated that the system scored high on the issues related to the degree of presence felt by the subjects. As a next logical step, this study, then, compared VR to an existing PC-based aircraft inspection simulator. The results showed that the VR system was better and preferred over the PC-based training tool.

  10. Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools

    PubMed Central

    Wood, Dylan; King, Margaret; Landis, Drew; Courtney, William; Wang, Runtang; Kelly, Ross; Turner, Jessica A.; Calhoun, Vince D.

    2014-01-01

    Neuroscientists increasingly need to work with big data in order to derive meaningful results in their field. Collecting, organizing and analyzing this data can be a major hurdle on the road to scientific discovery. This hurdle can be lowered using the same technologies that are currently revolutionizing the way that cultural and social media sites represent and share information with their users. Web application technologies and standards such as RESTful webservices, HTML5 and high-performance in-browser JavaScript engines are being utilized to vastly improve the way that the world accesses and shares information. The neuroscience community can also benefit tremendously from these technologies. We present here a web application that allows users to explore and request the complex datasets that need to be shared among the neuroimaging community. The COINS (Collaborative Informatics and Neuroimaging Suite) Data Exchange uses web application technologies to facilitate data sharing in three phases: Exploration, Request/Communication, and Download. This paper will focus on the first phase, and how intuitive exploration of large and complex datasets is achieved using a framework that centers around asynchronous client-server communication (AJAX) and also exposes a powerful API that can be utilized by other applications to explore available data. First opened to the neuroscience community in August 2012, the Data Exchange has already provided researchers with over 2500 GB of data. PMID:25206330

  11. Beauty and Precision: Weaving Complex Educational Technology Projects with Visual Instructional Design Languages

    ERIC Educational Resources Information Center

    Derntl, Michael; Parrish, Patrick; Botturi, Luca

    2010-01-01

    Instructional design and technology products result from many options and constraints. On the one hand, solutions should be creative, effective and flexible; on the other hand, developers and instructors need precise guidance and details on what to do during development and implementation. Communication of and about designs is supported by design…

  12. Creating Meaningful Art Experiences with Assistive Technology for Students with Physical, Visual, Severe, and Multiple Disabilities

    ERIC Educational Resources Information Center

    Coleman, Mari Beth; Cramer, Elizabeth Stephanie

    2015-01-01

    Various levels of assistive technology can be used in the art classroom to provide a fulfilling artmaking experience for all levels of learners. The purpose of this article is to add to the body of knowledge by providing ideas generated from collaboration between the fields of special education and art education that the authors feel will benefit…

  13. Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools.

    PubMed

    Wood, Dylan; King, Margaret; Landis, Drew; Courtney, William; Wang, Runtang; Kelly, Ross; Turner, Jessica A; Calhoun, Vince D

    2014-01-01

    Neuroscientists increasingly need to work with big data in order to derive meaningful results in their field. Collecting, organizing and analyzing this data can be a major hurdle on the road to scientific discovery. This hurdle can be lowered using the same technologies that are currently revolutionizing the way that cultural and social media sites represent and share information with their users. Web application technologies and standards such as RESTful webservices, HTML5 and high-performance in-browser JavaScript engines are being utilized to vastly improve the way that the world accesses and shares information. The neuroscience community can also benefit tremendously from these technologies. We present here a web application that allows users to explore and request the complex datasets that need to be shared among the neuroimaging community. The COINS (Collaborative Informatics and Neuroimaging Suite) Data Exchange uses web application technologies to facilitate data sharing in three phases: Exploration, Request/Communication, and Download. This paper will focus on the first phase, and how intuitive exploration of large and complex datasets is achieved using a framework that centers around asynchronous client-server communication (AJAX) and also exposes a powerful API that can be utilized by other applications to explore available data. First opened to the neuroscience community in August 2012, the Data Exchange has already provided researchers with over 2500 GB of data. PMID:25206330

  14. Visualizing the Future: Technology Competency Development in Clinical Medicine, and Implications for Medical Education

    ERIC Educational Resources Information Center

    Srinivasan, Malathi; Keenan, Craig R.; Yager, Joel

    2006-01-01

    Objective: In this article, the authors ask three questions. First, what will physicians need to know in order to be effective in the future? Second, what role will technology play in achieving that high level of effectiveness? Third, what specific skill sets will physicians need to master in order to become effective? Method: Through three case…

  15. Using Visual Technologies in the Introductory Programming Courses for Computer Science Majors

    ERIC Educational Resources Information Center

    Price, Kellie W.

    2013-01-01

    Decreasing enrollments, lower rates of student retention and changes in the learning styles of today's students are all issues that the Computer Science (CS) academic community is currently facing. As a result, CS educators are being challenged to find the right blend of technology and pedagogy for their curriculum in order to help students…

  16. Visualizing History: Computer Technology and the Graphic Presentation of the Past

    ERIC Educational Resources Information Center

    Moss, Mark

    2004-01-01

    Computer technology has impacted both the study and idea of history in a number of ways. The Internet has provided numerous web-sites for students to read, see and look into for historical information. Historians, both professional and public have also begun to utilize the computer in a variety of ways, both in academic terms as well as leisure…

  17. Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools.

    PubMed

    Wood, Dylan; King, Margaret; Landis, Drew; Courtney, William; Wang, Runtang; Kelly, Ross; Turner, Jessica A; Calhoun, Vince D

    2014-01-01

    Neuroscientists increasingly need to work with big data in order to derive meaningful results in their field. Collecting, organizing and analyzing this data can be a major hurdle on the road to scientific discovery. This hurdle can be lowered using the same technologies that are currently revolutionizing the way that cultural and social media sites represent and share information with their users. Web application technologies and standards such as RESTful webservices, HTML5 and high-performance in-browser JavaScript engines are being utilized to vastly improve the way that the world accesses and shares information. The neuroscience community can also benefit tremendously from these technologies. We present here a web application that allows users to explore and request the complex datasets that need to be shared among the neuroimaging community. The COINS (Collaborative Informatics and Neuroimaging Suite) Data Exchange uses web application technologies to facilitate data sharing in three phases: Exploration, Request/Communication, and Download. This paper will focus on the first phase, and how intuitive exploration of large and complex datasets is achieved using a framework that centers around asynchronous client-server communication (AJAX) and also exposes a powerful API that can be utilized by other applications to explore available data. First opened to the neuroscience community in August 2012, the Data Exchange has already provided researchers with over 2500 GB of data.

  18. American Beauty: The Seduction of the Visual Image in the Culture of Technology

    ERIC Educational Resources Information Center

    Goudreau, Kim

    2006-01-01

    The critical examination of the film "American Beauty" reveals characteristics illustrative of the form of culture coextensive with modern technological societies. This form of culture creates an imbalance favoring the aesthetical over the ethical dimensions of human orientation. Absorption into the aesthetical dimension of the electronic or…

  19. Testing the Efficacy of Synthetic Vision during Non-Normal Operations as an Enabling Technology for Equivalent Visual Operations

    NASA Technical Reports Server (NTRS)

    Kramer, Lynda J.; Williams, Steven P.

    2008-01-01

    Synthetic Vision (SV) may serve as a revolutionary crew/vehicle interface enabling technology to meet the challenges of the Next Generation Air Transportation System Equivalent Visual Operations (EVO) concept that is, the ability to achieve or even improve on the safety of Visual Flight Rules (VFR) operations, maintain the operational tempos of VFR, and potentially retain VFR procedures independent of actual weather and visibility conditions. One significant challenge lies in the definition of required equipage on the aircraft and on the airport to enable the EVO concept objective. An experiment was conducted to evaluate the effects of the presence or absence of SV, the location (head-up or head-down) of this information during an instrument approach, and the type of airport lighting information on landing minima. Another key element of the testing entailed investigating the pilot s awareness and reaction to non-normal events (i.e., failure conditions) that were unexpectedly introduced into the experiment. These non-normals are critical determinants in the underlying safety of all-weather operations. This paper presents the experimental results specific to pilot response to non-normal events using head-up and head-down synthetic vision displays.

  20. Frequency-doubling technology perimetry and multifocal visual evoked potential in glaucoma, suspected glaucoma, and control patients

    PubMed Central

    Kanadani, Fabio N; Mello, Paulo AA; Dorairaj, Syril K; Kanadani, Tereza CM

    2014-01-01

    Introduction The gold standard in functional glaucoma evaluation is standard automated perimetry (SAP). However, SAP depends on the reliability of the patients’ responses and other external factors; therefore, other technologies have been developed for earlier detection of visual field changes in glaucoma patients. The frequency-doubling perimetry (FDT) is believed to detect glaucoma earlier than SAP. The multifocal visual evoked potential (mfVEP) is an objective test for functional evaluation. Objective To evaluate the sensitivity and specificity of FDT and mfVEP tests in normal, suspect, and glaucomatous eyes and compare the monocular and interocular mfVEP. Methods Ninety-five eyes from 95 individuals (23 controls, 33 glaucoma suspects, 39 glaucomatous) were enrolled. All participants underwent a full ophthalmic examination, followed by SAP, FDT, and mfVEP tests. Results The area under the curve for mean deviation and pattern standard deviation were 0.756 and 0.761, respectively, for FDT, 0.564 and 0.512 for signal and alpha for interocular mfVEP, and 0.568 and 0.538 for signal and alpha for monocular mfVEP. This difference between monocular and interocular mfVEP was not significant. Conclusion The FDT Matrix was superior to mfVEP in glaucoma detection. The difference between monocular and interocular mfVEP in the diagnosis of glaucoma was not significant. PMID:25075173

  1. LEARNERS: Interdisciplinary Learning Technology Projects Provide Visualizations and Simulations for Use of Geospatial Data in the Classroom

    NASA Astrophysics Data System (ADS)

    Farrell, N.; Hoban, S.

    2001-05-01

    The NASA Leading Educators to Applications, Research and NASA-related Educational Resources in Science (LEARNERS) initiative supports seven projects for enhancing kindergarten-to-high school science, geography, technology and mathematics education through Internet-based products derived from content on NASA's mission. Topics incorporated in LEARNERS projects include remote sensing of the Earth for agriculture and weather/climate studies, virtual exploration of remote worlds using robotics and digital imagery. Learners are engaged in inquiry or problem-based learning, often assuming the role of an expert scientist as part of an interdisciplinary science team, to study and explain practical problems using real-time NASA data. The presentation/poster will demonstrate novel uses of remote sensing data for K-12 and Post-Secondary students. This will include the use of visualizations, tools for educators, datasets, and classroom scenarios.

  2. Technology Significance in Conservation of the Built Heritage 3d Visualization Impact

    NASA Astrophysics Data System (ADS)

    Nada, Mohamed Shoukr

    2010-04-01

    Conserving the built heritage, including architectural and urban monumental sites, has its various methods and tools for restoration. Restoration can be considered as a tool used by archaeologists for preserving monuments. Then, engineers have to play their role in developing different methods and techniques for conservation, and rehabilitation if needed, of the architectural and urban heritages. Accordingly, technological advancements may result in providing a futuristic vision of the project, without conducting experiments on the monument itself exposing it or its elements to distortion or deterioration. This research aims to show up the role and significance of technology and new tools in the conservation of historical built heritage, which may be considered via: • Addressing the concept of conservation and restoration and its evolution over time. • Revealing new methods and techniques for conservation. Hence, the research may result in highlighting the role and uses of technology in conservation, comprising: • Documentation of the built heritage. • Computers programs capabilities that can assist in conservation and rehabilitation.

  3. Web GIS in practice IX: a demonstration of geospatial visual analytics using Microsoft Live Labs Pivot technology and WHO mortality data.

    PubMed

    Kamel Boulos, Maged N; Viangteeravat, Teeradache; Anyanwu, Matthew N; Ra Nagisetty, Venkateswara; Kuscu, Emin

    2011-01-01

    The goal of visual analytics is to facilitate the discourse between the user and the data by providing dynamic displays and versatile visual interaction opportunities with the data that can support analytical reasoning and the exploration of data from multiple user-customisable aspects. This paper introduces geospatial visual analytics, a specialised subtype of visual analytics, and provides pointers to a number of learning resources about the subject, as well as some examples of human health, surveillance, emergency management and epidemiology-related geospatial visual analytics applications and examples of free software tools that readers can experiment with, such as Google Public Data Explorer. The authors also present a practical demonstration of geospatial visual analytics using partial data for 35 countries from a publicly available World Health Organization (WHO) mortality dataset and Microsoft Live Labs Pivot technology, a free, general purpose visual analytics tool that offers a fresh way to visually browse and arrange massive amounts of data and images online and also supports geographic and temporal classifications of datasets featuring geospatial and temporal components. Interested readers can download a Zip archive (included with the manuscript as an additional file) containing all files, modules and library functions used to deploy the WHO mortality data Pivot collection described in this paper.

  4. Visualization of Host-Polerovirus Interaction Topologies Using Protein Interaction Reporter Technology

    PubMed Central

    DeBlasio, Stacy L.; Chavez, Juan D.; Alexander, Mariko M.; Ramsey, John; Eng, Jimmy K.; Mahoney, Jaclyn; Gray, Stewart M.; Bruce, James E.

    2015-01-01

    ABSTRACT Demonstrating direct interactions between host and virus proteins during infection is a major goal and challenge for the field of virology. Most protein interactions are not binary or easily amenable to structural determination. Using infectious preparations of a polerovirus (Potato leafroll virus [PLRV]) and protein interaction reporter (PIR), a revolutionary technology that couples a mass spectrometric-cleavable chemical cross-linker with high-resolution mass spectrometry, we provide the first report of a host-pathogen protein interaction network that includes data-derived, topological features for every cross-linked site that was identified. We show that PLRV virions have hot spots of protein interaction and multifunctional surface topologies, revealing how these plant viruses maximize their use of binding interfaces. Modeling data, guided by cross-linking constraints, suggest asymmetric packing of the major capsid protein in the virion, which supports previous epitope mapping studies. Protein interaction topologies are conserved with other species in the Luteoviridae and with unrelated viruses in the Herpesviridae and Adenoviridae. Functional analysis of three PLRV-interacting host proteins in planta using a reverse-genetics approach revealed a complex, molecular tug-of-war between host and virus. Structural mimicry and diversifying selection—hallmarks of host-pathogen interactions—were identified within host and viral binding interfaces predicted by our models. These results illuminate the functional diversity of the PLRV-host protein interaction network and demonstrate the usefulness of PIR technology for precision mapping of functional host-pathogen protein interaction topologies. IMPORTANCE The exterior shape of a plant virus and its interacting host and insect vector proteins determine whether a virus will be transmitted by an insect or infect a specific host. Gaining this information is difficult and requires years of experimentation. We used

  5. Application of genetic algorithm in quasi-static fiber grating wavelength demodulation technology

    NASA Astrophysics Data System (ADS)

    Teng, Feng-Cheng; Yin, Wen-Wen; Wu, Fei; Li, Zhi-Quang; Wu, Ti-Hua

    2007-07-01

    A modified genetic algorithm (GA) has been proposed, which was used to wavelength demodulation in quasi-static fiber grating sensing system. The modification method of GA has been introduced and the relevant mathematical model has been established. The objective function and individual fitness evaluation strategy interrelated with GA are also established. The influence of population size, chromosome size, generations, crossover probability and mutation probability on the GA has been analyzed, and the optimal parameters of modified GA have been obtained. The simulations and experiments, show that the modified GA can be applied to quasi-static fiber grating sensing system, and the wavelength demodulation precision is equal to or less than 3 pm.

  6. Visualizing spatiotemporal dynamics of multicellular cell-cycle progressions with fucci technology.

    PubMed

    Sakaue-Sawano, Asako; Miyawaki, Atsushi

    2014-05-01

    The visualization of cell-cycle behavior of individual cells within complex tissues presents an irresistible challenge to biologists studying multicellular structures. However, the transition from G1 to S in the cell cycle is difficult to monitor despite the fact that the process involves the critical decision to initiate a new round of DNA replication. Here, we use ubiquitination oscillators that control cell-cycle transitions to develop genetically encoded fluorescent probes for cell-cycle progression. Fucci (fluorescent ubiquitination-based cell-cycle indicator) probes exploit the regulation of cell-cycle-dependent ubiquitination to effectively label individual nuclei in G1 phase red, and those in S/G2/M phases green. Cultured cells and transgenic mice constitutively expressing the probes have been generated, such that every cell nucleus shows either red or green fluorescence. This protocol details two experiments that use biological samples expressing Fucci probes. One experiment involves time-lapse imaging of cells stably expressing a Fucci derivative (Fucci2), which allows for the exploration of the spatiotemporal patterns of cell-cycle dynamics during structural and behavioral changes of cultured cells. The other experiment involves large-field, high-resolution imaging of fixed sections of Fucci transgenic mouse embryos, which provides maps that illustrate cell proliferation versus differentiation in various developing organs.

  7. Visualization analysis of CRISPR/Cas9 gene editing technology studies*

    PubMed Central

    Du, Quan-sheng; Cui, Jie; Zhang, Chun-jie; He, Ke

    2016-01-01

    The clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 (Cas9) system is an adaptive immune defense system that resists the invasion of viruses and plasmids heterologous genetic material in bacteria and archaea. Taking the literature related to gene editing technology of CRISPR/Cas9 from the Web of Science database from 2002 to 2015, we use the software CiteSpaceV to analyze co-cited literature in order to establish the research hotspots and fronts recently in this field by knowledge mapping. PMID:27704749

  8. Non-fluoroscopic catheter visualization using MediGuide™ technology: experience from the first 600 procedures.

    PubMed

    Sommer, P; Richter, S; Hindricks, G; Rolf, S

    2014-09-01

    A novel cardiovascular navigation system known as MediGuide™ (MG) which allows non-fluoroscopic catheter tracking over a background of pre-recorded cine loops was recently introduced. This system allows significant reduction of fluoroscopy exposure which is one of the potentially harmful aspects of today's electrophysiological procedures such as ablations or device implantations. We provide a summary of recently published studies related to this new technological platform and describe our experience from the first 600 MG procedures at our institution.After reviewing the currently available publications in the field of MG-supported EP procedures, we describe the workflows for (1) ablation of supraventricular tachycardia (SVT), atrial fibrillation (AF), and ventricular tachycardia using MG-enabled diagnostic and ablation catheters, as well as (2) implant of cardiac resynchronization therapy (CRT) devices using sensor-equipped delivery tools including sheaths, sub-selectors, and guidewires.As shown in several studies [5-9], MG procedures resulted in similar efficacy as conventional cases but with a significant reduction in fluoroscopy time and dose. In particular, for SVT ablations, the median fluoroscopy time using the MG technology was 0.5 ± 1.4 min compared to 10.2 ± 9.6 min in conventional fluoroscopic settings. Similar reductions were demonstrated for AF ablation procedures from 25 min in conventional settings with electroanatomical mapping systems and live x-ray to 4.6 min with the addition of the MG technology. Recently, it was demonstrated that the application of MG for CRT device implants could successfully result in a median fluoroscopy time of 2.6 min for LV lead deployment.In summary, the first measurable clinical impact of the MG technology on a daily clinical routine is the reduction of fluoroscopy time and radiation exposure for various EP indications. These beneficial effects were achieved without negative consequences on procedural

  9. Computational algorithms dealing with the classical and statistical mechanics of celestial scale polymers in space elevator technology

    NASA Astrophysics Data System (ADS)

    Knudsen, Steven; Golubovic, Leonardo

    Prospects to build Space Elevator (SE) systems have become realistic with ultra-strong materials such as carbon nano-tubes and diamond nano-threads. At cosmic length-scales, space elevators can be modeled as polymer like floppy strings of tethered mass beads. A new venue in SE science has emerged with the introduction of the Rotating Space Elevator (RSE) concept supported by novel algorithms discussed in this presentation. An RSE is a loopy string reaching into outer space. Unlike the classical geostationary SE concepts of Tsiolkovsky, Artsutanov, and Pearson, our RSE exhibits an internal rotation. Thanks to this, objects sliding along the RSE loop spontaneously oscillate between two turning points, one of which is close to the Earth whereas the other one is in outer space. The RSE concept thus solves a major problem in SE technology which is how to supply energy to the climbers moving along space elevator strings. The investigation of the classical and statistical mechanics of a floppy string interacting with objects sliding along it required development of subtle computational algorithms described in this presentation

  10. Novel Applications of Ultrasound Technology to Visualize and Characterize Myofascial Trigger Points and Surrounding Soft Tissue

    PubMed Central

    Sikdar, Siddhartha; Shah, Jay P.; Gebreab, Tadesse; Yen, Ru-Huey; Gilliams, Elizabeth; Danoff, Jerome; Gerber, Lynn H.

    2009-01-01

    enlarged arterioles) near A-MTrPs showed retrograde flow in diastole indicating a highly resistive vascular bed. A-MTrP sites were more likely to have higher BFS compared to L-MTrPs (p<0.021). Conclusions Preliminary findings show that, under the conditions of this investigation, US imaging techniques can be used to distinguish myofascial tissue containing MTrPs from normal myofascial tissue (lacking trigger points). Ultrasound enables visualization and some characterization of MTrPs and adjacent soft tissue. PMID:19887205

  11. Integration and Exploitation of Advanced Visualization and Data Technologies to Teach STEM Subjects

    NASA Astrophysics Data System (ADS)

    Brandon, M. A.; Garrow, K. H.

    2014-12-01

    We live in an age where the volume of content available online to the general public is staggering. Integration of data from new technologies gives us amazing educational opportunities when appropriate narratives are provided. We prepared a distance learning credit bearing module that showcased many currently available data sets and state of the art technologies. It has been completed by many thousands of students with good feedback. Module highlights were the wide ranging and varied online activities which taught a wide range of STEM content. For example: it is well known that on Captain Scott's Terra Nova Expedition 1910-13, three researchers completed the "the worst journey in the world" to study emperor penguins. Using their primary records and clips from location filmed television documentaries we can tell their story and the reasons why it was important. However using state of the art content we can go much further. Using satellite data students can trace the path the researchers took and observe the penguin colony that they studied. Linking to modern Open Access literature students learn how they can estimate the numbers of animals in this and similar locations. Then by linking to freely available data from Antarctic Automatic Weather Stations students can learn quantitatively about the climatic conditions the animals are enduring in real time. They can then download and compare this with the regional climatic record to see if their observations are what could be expected. By considering the environment the penguins live in students can be taught about the evolutionary and behavioural adaptations the animals have undergone to survive. In this one activity we can teach a wide range of key learning points in an engaging and coherent way. It opened some students' eyes to the range of possibilities available to learn about our, and other planets. The addition and integration of new state of the art techniques and data sets only increases the opportunities to

  12. Development of closed-loop neural interface technology in a rat model: combining motor cortex operant conditioning with visual cortex microstimulation.

    PubMed

    Marzullo, Timothy Charles; Lehmkuhle, Mark J; Gage, Gregory J; Kipke, Daryl R

    2010-04-01

    Closed-loop neural interface technology that combines neural ensemble decoding with simultaneous electrical microstimulation feedback is hypothesized to improve deep brain stimulation techniques, neuromotor prosthetic applications, and epilepsy treatment. Here we describe our iterative results in a rat model of a sensory and motor neurophysiological feedback control system. Three rats were chronically implanted with microelectrode arrays in both the motor and visual cortices. The rats were subsequently trained over a period of weeks to modulate their motor cortex ensemble unit activity upon delivery of intra-cortical microstimulation (ICMS) of the visual cortex in order to receive a food reward. Rats were given continuous feedback via visual cortex ICMS during the response periods that was representative of the motor cortex ensemble dynamics. Analysis revealed that the feedback provided the animals with indicators of the behavioral trials. At the hardware level, this preparation provides a tractable test model for improving the technology of closed-loop neural devices.

  13. Analysis and visualization of Arabidopsis thaliana GWAS using web 2.0 technologies.

    PubMed

    Huang, Yu S; Horton, Matthew; Vilhjálmsson, Bjarni J; Seren, Umit; Meng, Dazhe; Meyer, Christopher; Ali Amer, Muhammad; Borevitz, Justin O; Bergelson, Joy; Nordborg, Magnus

    2011-01-01

    With large-scale genomic data becoming the norm in biological studies, the storing, integrating, viewing and searching of such data have become a major challenge. In this article, we describe the development of an Arabidopsis thaliana database that hosts the geographic information and genetic polymorphism data for over 6000 accessions and genome-wide association study (GWAS) results for 107 phenotypes representing the largest collection of Arabidopsis polymorphism data and GWAS results to date. Taking advantage of a series of the latest web 2.0 technologies, such as Ajax (Asynchronous JavaScript and XML), GWT (Google-Web-Toolkit), MVC (Model-View-Controller) web framework and Object Relationship Mapper, we have created a web-based application (web app) for the database, that offers an integrated and dynamic view of geographic information, genetic polymorphism and GWAS results. Essential search functionalities are incorporated into the web app to aid reverse genetics research. The database and its web app have proven to be a valuable resource to the Arabidopsis community. The whole framework serves as an example of how biological data, especially GWAS, can be presented and accessed through the web. In the end, we illustrate the potential to gain new insights through the web app by two examples, showcasing how it can be used to facilitate forward and reverse genetics research. Database URL: http://arabidopsis.usc.edu/

  14. Writing Fragments of Modernity: Visual Technology and Metafiction in Pablo Palacio's "Débora" and "Un hombre muerto a puntapiés"

    ERIC Educational Resources Information Center

    Ramos, Juan G.

    2016-01-01

    This current study explores the relationship between visual technology (cinema and photography) and a metanarrative preoccupation with the craft of literary narration in two texts by Pablo Palacio (Ecuador, 1906-47). In his novella "Débora" (1927), Palacio employs the language of cinema (e.g., the cinematograph, the cinema, references to…

  15. Effects of Online Visual and Interactive Technological Tool (OVITT) on Early Adolescent Students' Mathematics Performance, Math Anxiety and Attitudes toward Math

    ERIC Educational Resources Information Center

    Orabuchi, Nkechi

    2013-01-01

    This study reported the results of a 3-month quasi-experimental study that determined the effectiveness of an online visual and interactive technological tool on sixth grade students' mathematics performance, math anxiety and attitudes towards math. There were 155 sixth grade students from a middle school in the North Texas area who participated…

  16. Using Photos and Visual-Processing Assistive Technologies to Develop Self-Expression and Interpersonal Communication of Adolescents with Asperger Syndrome (AS)

    ERIC Educational Resources Information Center

    Shrieber, Betty; Cohen, Yael

    2013-01-01

    The purpose of this paper is to examine the use of photographs and assistive technologies for visual information processing as motivating tools for interpersonal communication of adolescents with Asperger Syndrome (AS), aged 16 to 18 years, attending special education school. Students with AS find it very difficult to create social and…

  17. An Examination of the Effects of Collaborative Scientific Visualization via Model-Based Reasoning on Science, Technology, Engineering, and Mathematics (STEM) Learning within an Immersive 3D World

    ERIC Educational Resources Information Center

    Soleimani, Ali

    2013-01-01

    Immersive 3D worlds can be designed to effectively engage students in peer-to-peer collaborative learning activities, supported by scientific visualization, to help with understanding complex concepts associated with learning science, technology, engineering, and mathematics (STEM). Previous research studies have shown STEM learning benefits…

  18. [Multispectral image compression algorithms for color reproduction].

    PubMed

    Liang, Wei; Zeng, Ping; Luo, Xue-mei; Wang, Yi-feng; Xie, Kun

    2015-01-01

    In order to improve multispectral images compression efficiency and further facilitate their storage and transmission for the application of color reproduction and so on, in which fields high color accuracy is desired, WF serial methods is proposed, and APWS_RA algorithm is designed. Then the WF_APWS_RA algorithm, which has advantages of low complexity, good illuminant stability and supporting consistent coior reproduction across devices, is presented. The conventional MSE based wavelet embedded coding principle is first studied. And then color perception distortion criterion and visual characteristic matrix W are proposed. Meanwhile, APWS_RA algorithm is formed by optimizing the. rate allocation strategy of APWS. Finally, combined above technologies, a new coding method named WF_APWS_RA is designed. Colorimetric error criterion is used in the algorithm and APWS_RA is applied on visual weighted multispectral image. In WF_APWS_RA, affinity propagation clustering is utilized to exploit spectral correlation of weighted image. Then two-dimensional wavelet transform is used to remove the spatial redundancy. Subsequently, error compensation mechanism and rate pre-allocation are combined to accomplish the embedded wavelet coding. Experimental results show that at the same bit rate, compared with classical coding algorithms, WF serial algorithms have better performance on color retention. APWS_RA preserves least spectral error and WF APWS_RA algorithm has obvious superiority on color accuracy.

  19. Visualizing Progress

    NASA Technical Reports Server (NTRS)

    2000-01-01

    Reality Capture Technologies, Inc. is a spinoff company from Ames Research Center. Offering e-business solutions for optimizing management, design and production processes, RCT uses visual collaboration environments (VCEs) such as those used to prepare the Mars Pathfinder mission.The product, 4-D Reality Framework, allows multiple users from different locations to manage and share data. The insurance industry is one targeted commercial application for this technology.

  20. EDITORIAL: Focus on Visualization in Physics FOCUS ON VISUALIZATION IN PHYSICS

    NASA Astrophysics Data System (ADS)

    Sanders, Barry C.; Senden, Tim; Springel, Volker

    2008-12-01

    Advances in physics are intimately connected with developments in a new technology, the telescope, precision clocks, even the computer all have heralded a shift in thinking. These landmark developments open new opportunities accelerating research and in turn new scientific directions. These technological drivers often correspond to new instruments, but equally might just as well flag a new mathematical tool, an algorithm or even means to visualize physics in a new way. Early on in this twenty-first century, scientific communities are just starting to explore the potential of digital visualization. Whether visualization is used to represent and communicate complex concepts, or to understand and interpret experimental data, or to visualize solutions to complex dynamical equations, the basic tools of visualization are shared in each of these applications and implementations. High-performance computing exemplifies the integration of visualization with leading research. Visualization is an indispensable tool for analyzing and interpreting complex three-dimensional dynamics as well as to diagnose numerical problems in intricate parallel calculation algorithms. The effectiveness of visualization arises by exploiting the unmatched capability of the human eye and visual cortex to process the large information content of images. In a brief glance, we recognize patterns or identify subtle features even in noisy data, something that is difficult or impossible to achieve with more traditional forms of data analysis. Importantly, visualizations guide the intuition of researchers and help to comprehend physical phenomena that lie far outside of direct experience. In fact, visualizations literally allow us to see what would otherwise remain completely invisible. For example, artificial imagery created to visualize the distribution of dark matter in the Universe has been instrumental to develop the notion of a cosmic web, and for helping to establish the current standard model of

  1. Three-dimensional visualization and display technologies; Proceedings of the Meeting, Los Angeles, CA, Jan. 18-20, 1989

    NASA Technical Reports Server (NTRS)

    Robbins, Woodrow E. (Editor); Fisher, Scott S. (Editor)

    1989-01-01

    Special attention was given to problems of stereoscopic display devices, such as CAD for enhancement of the design process in visual arts, stereo-TV improvement of remote manipulator performance, a voice-controlled stereographic video camera system, and head-mounted displays and their low-cost design alternatives. Also discussed was a novel approach to chromostereoscopic microscopy, computer-generated barrier-strip autostereography and lenticular stereograms, and parallax barrier three-dimensional TV. Additional topics include processing and user interface isssues and visualization applications, including automated analysis and fliud flow topology, optical tomographic measusrements of mixing fluids, visualization of complex data, visualization environments, and visualization management systems.

  2. Small animal fluorescence and bioluminescence tomography: a review of approaches, algorithms and technology update

    NASA Astrophysics Data System (ADS)

    Darne, Chinmay; Lu, Yujie; Sevick-Muraca, Eva M.

    2014-01-01

    Emerging fluorescence and bioluminescence tomography approaches have several common, yet several distinct features from established emission tomographies of PET and SPECT. Although both nuclear and optical imaging modalities involve counting of photons, nuclear imaging techniques collect the emitted high energy (100-511 keV) photons after radioactive decay of radionuclides while optical techniques count low-energy (1.5-4.1 eV) photons that are scattered and absorbed by tissues requiring models of light transport for quantitative image reconstruction. Fluorescence imaging has been recently translated into clinic demonstrating high sensitivity, modest tissue penetration depth, and fast, millisecond image acquisition times. As a consequence, the promise of quantitative optical tomography as a complement of small animal PET and SPECT remains high. In this review, we summarize the different instrumentation, methodological approaches and schema for inverse image reconstructions for optical tomography, including luminescence and fluorescence modalities, and comment on limitations and key technological advances needed for further discovery research and translation.

  3. Universal visualization platform

    NASA Astrophysics Data System (ADS)

    Gee, Alexander G.; Li, Hongli; Yu, Min; Smrtic, Mary Beth; Cvek, Urska; Goodell, Howie; Gupta, Vivek; Lawrence, Christine; Zhou, Jainping; Chiang, Chih-Hung; Grinstein, Georges G.

    2005-03-01

    Although there are a number of visualization systems to choose from when analyzing data, only a few of these allow for the integration of other visualization and analysis techniques. There are even fewer visualization toolkits and frameworks from which one can develop ones own visualization applications. Even within the research community, scientists either use what they can from the available tools or start from scratch to define a program in which they are able to develop new or modified visualization techniques and analysis algorithms. Presented here is a new general-purpose platform for constructing numerous visualization and analysis applications. The focus of this system is the design and experimentation of new techniques, and where the sharing of and integration with other tools becomes second nature. Moreover, this platform supports multiple large data sets, and the recording and visualizing of user sessions. Here we introduce the Universal Visualization Platform (UVP) as a modern data visualization and analysis system.

  4. Theory and technology of the molding process: Study and algorithmization of calculation for the stressed-strained state of a powdered medium under compression by slanted plates

    SciTech Connect

    Leshchinskii, V.M.; Blokhin, A.G.; Stoyanov, A.A.

    1995-01-01

    We have studied the effect of the technological parameters on the molding process during shear compression of powder composites. An algorithm has been developed for the design of the technological processes. The correspondence between the continuum model of the uniform shear of a layer of powder and the actual behavior of the medium is analyzed and the physical sense of the compaction rate, which characterizes the sensitivity of the given medium to hydrostatic pressure, is determined.

  5. Algorithms and Algorithmic Languages.

    ERIC Educational Resources Information Center

    Veselov, V. M.; Koprov, V. M.

    This paper is intended as an introduction to a number of problems connected with the description of algorithms and algorithmic languages, particularly the syntaxes and semantics of algorithmic languages. The terms "letter, word, alphabet" are defined and described. The concept of the algorithm is defined and the relation between the algorithm and…

  6. The New and Computationally Efficient MIL-SOM Algorithm: Potential Benefits for Visualization and Analysis of a Large-Scale High-Dimensional Clinically Acquired Geographic Data

    PubMed Central

    Oyana, Tonny J.; Achenie, Luke E. K.; Heo, Joon

    2012-01-01

    The objective of this paper is to introduce an efficient algorithm, namely, the mathematically improved learning-self organizing map (MIL-SOM) algorithm, which speeds up the self-organizing map (SOM) training process. In the proposed MIL-SOM algorithm, the weights of Kohonen's SOM are based on the proportional-integral-derivative (PID) controller. Thus, in a typical SOM learning setting, this improvement translates to faster convergence. The basic idea is primarily motivated by the urgent need to develop algorithms with the competence to converge faster and more efficiently than conventional techniques. The MIL-SOM algorithm is tested on four training geographic datasets representing biomedical and disease informatics application domains. Experimental results show that the MIL-SOM algorithm provides a competitive, better updating procedure and performance, good robustness, and it runs faster than Kohonen's SOM. PMID:22481977

  7. Shifting Sands and Turning Tides: Using 3D Visualization Technology to Shape the Environment for Undergraduate Students

    NASA Astrophysics Data System (ADS)

    Jenkins, H. S.; Gant, R.; Hopkins, D.

    2014-12-01

    Teaching natural science in a technologically advancing world requires that our methods reach beyond the traditional computer interface. Innovative 3D visualization techniques and real-time augmented user interfaces enable students to create realistic environments to understand the world around them. Here, we present a series of laboratory activities that utilize an Augmented Reality Sandbox to teach basic concepts of hydrology, geology, and geography to undergraduates at Harvard University and the University of Redlands. The Augmented Reality (AR) Sandbox utilizes a real sandbox that is overlain by a digital projection of topography and a color elevation map. A Microsoft Kinect 3D camera feeds altimetry data into a software program that maps this information onto the sand surface using a digital projector. Students can then manipulate the sand and observe as the Sandbox augments their manipulations with projections of contour lines, an elevation color map, and a simulation of water. The idea for the AR Sandbox was conceived at MIT by the Tangible Media Group in 2002 and the simulation software used here was written and developed by Dr. Oliver Kreylos of the University of California - Davis as part of the NSF funded LakeViz3D project. Between 2013 and 2014, we installed AR Sandboxes at Harvard and the University of Redlands, respectively, and developed laboratory exercises to teach flooding hazard, erosion and watershed development in undergraduate earth and environmental science courses. In 2013, we introduced a series of AR Sandbox laboratories in Introductory Geology, Hydrology, and Natural Disasters courses. We found laboratories that utilized the AR Sandbox at both universities allowed students to become quickly immersed in the learning process, enabling a more intuitive understanding of the processes that govern the natural world. The physical interface of the AR Sandbox reduces barriers to learning, can be used to rapidly illustrate basic concepts of geology

  8. Computer simulation and scientific visualization

    SciTech Connect

    Weber, D.P.; Moszur, F.M.

    1990-01-01

    The simulation of processes in engineering and the physical sciences has progressed rapidly over the last several years. With rapid developments in supercomputers, parallel processing, numerical algorithms and software, scientists and engineers are now positioned to quantitatively simulate systems requiring many billions of arithmetic operations. The need to understand and assimilate such massive amounts of data has been a driving force in the development of both hardware and software to create visual representations of the underling physical systems. In this paper, and the accompanying videotape, the evolution and development of the visualization process in scientific computing will be reviewed. Specific applications and associated imaging hardware and software technology illustrate both the computational needs and the evolving trends. 6 refs.

  9. A meta-analysis of the educational effectiveness of three-dimensional visualization technologies in teaching anatomy.

    PubMed

    Yammine, Kaissar; Violato, Claudio

    2015-01-01

    Many medical graduates are deficient in anatomy knowledge and perhaps below the standards for safe medical practice. Three-dimensional visualization technology (3DVT) has been advanced as a promising tool to enhance anatomy knowledge. The purpose of this review is to conduct a meta-analysis of the effectiveness of 3DVT in teaching and learning anatomy compared to all teaching methods. The primary outcomes were scores of anatomy knowledge tests expressed as factual or spatial knowledge percentage means. Secondary outcomes were perception scores of the learners. Thirty-six studies met the inclusion criteria including 28 (78%) randomized studies. Based on 2,226 participants including 2,128 from studies with comparison groups, 3DVTs (1) resulted in higher (d = 0.30, 95%CI: 0.02-0.62) factual knowledge, (2) yielded significant better results (d = 0.50, 95%CI: 0.20-0.80) in spatial knowledge acquisition, and (3) produced significant increase in user satisfaction (d = 0.28, 95%CI = 0.12-0.44) and in learners' perception of the effectiveness of the learning tool (d = 0.28, 95%CI = 0.14-0.43). The total mean scores (out of five) and ±SDs for QUESTS's Quality and Strength dimensions were 4.38 (±SD 1.3) and 3.3 (±SD 1.7), respectively. The results have high internal validity, for the improved outcomes of 3DVTs compared to other methods of anatomy teaching. Given that anatomy teaching and learning in the modern medical school appears to be approaching a crisis, 3DVT can be a potential solution to the problem of inadequate anatomy pedagogy.

  10. Visual Inference Programming

    NASA Technical Reports Server (NTRS)

    Wheeler, Kevin; Timucin, Dogan; Rabbette, Maura; Curry, Charles; Allan, Mark; Lvov, Nikolay; Clanton, Sam; Pilewskie, Peter

    2002-01-01

    The goal of visual inference programming is to develop a software framework data analysis and to provide machine learning algorithms for inter-active data exploration and visualization. The topics include: 1) Intelligent Data Understanding (IDU) framework; 2) Challenge problems; 3) What's new here; 4) Framework features; 5) Wiring diagram; 6) Generated script; 7) Results of script; 8) Initial algorithms; 9) Independent Component Analysis for instrument diagnosis; 10) Output sensory mapping virtual joystick; 11) Output sensory mapping typing; 12) Closed-loop feedback mu-rhythm control; 13) Closed-loop training; 14) Data sources; and 15) Algorithms. This paper is in viewgraph form.

  11. Algorithmic Skin: Health-Tracking Technologies, Personal Analytics and the Biopedagogies of Digitized Health and Physical Education

    ERIC Educational Resources Information Center

    Williamson, Ben

    2015-01-01

    The emergence of digitized health and physical education, or "eHPE", embeds software algorithms in the organization of health and physical education pedagogies. Particularly with the emergence of wearable and mobile activity trackers, biosensors and personal analytics apps, algorithmic processes have an increasingly powerful part to play…

  12. Realization and optimization of AES algorithm on the TMS320DM6446 based on DaVinci technology

    NASA Astrophysics Data System (ADS)

    Jia, Wen-bin; Xiao, Fu-hai

    2013-03-01

    The application of AES algorithm in the digital cinema system avoids video data to be illegal theft or malicious tampering, and solves its security problems. At the same time, in order to meet the requirements of the real-time, scene and transparent encryption of high-speed data streams of audio and video in the information security field, through the in-depth analysis of AES algorithm principle, based on the hardware platform of TMS320DM6446, with the software framework structure of DaVinci, this paper proposes the specific realization methods of AES algorithm in digital video system and its optimization solutions. The test results show digital movies encrypted by AES128 can not play normally, which ensures the security of digital movies. Through the comparison of the performance of AES128 algorithm before optimization and after, the correctness and validity of improved algorithm is verified.

  13. Visual Alert System

    NASA Technical Reports Server (NTRS)

    1985-01-01

    A visual alert system resulted from circuitry developed by Applied Cybernetics Systems for Langley as part of a space related telemetry system. James Campman, Applied Cybernetics president, left the company and founded Grace Industries, Inc. to manufacture security devices based on the Langley technology. His visual alert system combines visual and audible alerts for hearing impaired people. The company also manufactures an arson detection device called the electronic nose, and is currently researching additional applications of the NASA technology.

  14. EDITORIAL: Focus on Visualization in Physics FOCUS ON VISUALIZATION IN PHYSICS

    NASA Astrophysics Data System (ADS)

    Sanders, Barry C.; Senden, Tim; Springel, Volker

    2008-12-01

    Advances in physics are intimately connected with developments in a new technology, the telescope, precision clocks, even the computer all have heralded a shift in thinking. These landmark developments open new opportunities accelerating research and in turn new scientific directions. These technological drivers often correspond to new instruments, but equally might just as well flag a new mathematical tool, an algorithm or even means to visualize physics in a new way. Early on in this twenty-first century, scientific communities are just starting to explore the potential of digital visualization. Whether visualization is used to represent and communicate complex concepts, or to understand and interpret experimental data, or to visualize solutions to complex dynamical equations, the basic tools of visualization are shared in each of these applications and implementations. High-performance computing exemplifies the integration of visualization with leading research. Visualization is an indispensable tool for analyzing and interpreting complex three-dimensional dynamics as well as to diagnose numerical problems in intricate parallel calculation algorithms. The effectiveness of visualization arises by exploiting the unmatched capability of the human eye and visual cortex to process the large information content of images. In a brief glance, we recognize patterns or identify subtle features even in noisy data, something that is difficult or impossible to achieve with more traditional forms of data analysis. Importantly, visualizations guide the intuition of researchers and help to comprehend physical phenomena that lie far outside of direct experience. In fact, visualizations literally allow us to see what would otherwise remain completely invisible. For example, artificial imagery created to visualize the distribution of dark matter in the Universe has been instrumental to develop the notion of a cosmic web, and for helping to establish the current standard model of

  15. Energy and Technology Review

    SciTech Connect

    Quirk, W.J.

    1993-08-01

    The Lawrence Livermore National Laboratory was established in 1952 to do research on nuclear weapons and magnetic fusion energy. Since then, we other major programs have been added including laser fusion, and laser isotope separation, biomedical and environmental science, strategic defense and applied energy technology. These programs, in turn, require research in basic scientific disciplines, including chemistry and materials science, computer science and technology, engineering and physics. In this issue, Herald Brown, the Laboratory`s third director and now counselor at the Center for Strategic and International Studies, reminisces about his years at Livermore and comments about the Laboratory`s role in the future. Also an article on visualizing dynamic systems in three dimensions is presented. Researchers can use our interactive algorithms to translate massive quantities of numerical data into visual form and can assign the visual markers of their choice to represent three- dimensional phenomena in a two-dimensional setting, such as a monitor screen. Major work has been done in the visualization of climate modeling, but the algorithms can be used for visualizing virtually any phenomena.

  16. Energy and Technology Review

    NASA Astrophysics Data System (ADS)

    Quirk, W. J.

    1993-08-01

    The Lawrence Livermore National Laboratory was established in 1952 to do research on nuclear weapons and magnetic fusion energy. Since then, other major programs have been added including laser fusion, and laser isotope separation, biomedical and environmental science, strategic defense and applied energy technology. These programs, in turn, require research in basic scientific disciplines, including chemistry and materials science, computer science and technology, engineering and physics. In this issue, Herald Brown, the Laboratory's third director and now counselor at the Center for Strategic and International Studies, reminisces about his years at Livermore and comments about the Laboratory's role in the future. Also an article on visualizing dynamic systems in three dimensions is presented. Researchers can use our interactive algorithms to translate massive quantities of numerical data into visual form and can assign the visual markers of their choice to represent three-dimensional phenomena in a two-dimensional setting, such as a monitor screen. Major work has been done in the visualization of climate modeling, but the algorithms can be used for visualizing virtually any phenomena.

  17. [Evolution of the audio-visual technologies of production and diffusion and the conditions of their application in the Third World].

    PubMed

    Lefebvre, M

    1979-01-01

    The present information production techniques are so inefficient that it is out of the question to generalize them. On the other hand audio-visual communication raises a major political problem, especially for developing countries. Audio-visual equipment has gone through adjustment phases; the example of the tape and cassette recorder is given: 2 technological improvements have completely modified its use; the transistors have allowed considerable reduction in volume and weight as well as the energy necessary; the invention of the cassette has simplified its use. Technological research is following 3 major directions: the production of equipment which consumes little energy; the improvement of electronic component production techniques (towards cheaper electronic components); finally, the designing of systems allowing to stock large quantities of information. The communication systems will probably make so much progress in the areas of technology and programming, that they will soon have very different uses than the present ones. The question is whether our civilizations will let themselves be dominated by these new systems, or whether they will succeed to turn them into progress tools.

  18. In the Palm of Your Hand: A Vision of the Future of Technology for People with Visual Impairments.

    ERIC Educational Resources Information Center

    Fruchterman, James R.

    2003-01-01

    This article discusses future directions for wireless cell phones, including personal computer capabilities, multiple input and output modalities, and open source platforms, and the benefits for people with visual impairments. The use of cell phones for increased accessibility of the Internet and for electronic books is also discussed. (Contains…

  19. Fluorescence Aggregation-Caused Quenching versus Aggregation-Induced Emission: A Visual Teaching Technology for Undergraduate Chemistry Students

    ERIC Educational Resources Information Center

    Ma, Xiaofeng; Sun, Rui; Cheng, Jinghui; Liu, Jiaoyan; Gou, Fei; Xiang, Haifeng; Zhou, Xiangge

    2016-01-01

    A laboratory experiment visually exploring two opposite basic principles of fluorescence of aggregation-caused quenching (ACQ) and aggregation-induced emission (AIE) is demonstrated. The students would prepared two salicylaldehyde-based Schiff bases through a simple one-pot condensation reaction of one equiv of 1,2-diamine with 2 equiv of…

  20. Creating an Adaptive Technology Using a Cheminformatics System to Read Aloud Chemical Compound Names for People with Visual Disabilities

    ERIC Educational Resources Information Center

    Kamijo, Haruo; Morii, Shingo; Yamaguchi, Wataru; Toyooka, Naoki; Tada-Umezaki, Masahito; Hirobayashi, Shigeki

    2016-01-01

    Various tactile methods, such as Braille, have been employed to enhance the recognition ability of chemical structures by individuals with visual disabilities. However, it is unknown whether reading aloud the names of chemical compounds would be effective in this regard. There are no systems currently available using an audio component to assist…

  1. Correlative visualization techniques for multidimensional data

    NASA Technical Reports Server (NTRS)

    Treinish, Lloyd A.; Goettsche, Craig

    1989-01-01

    Critical to the understanding of data is the ability to provide pictorial or visual representation of those data, particularly in support of correlative data analysis. Despite the advancement of visualization techniques for scientific data over the last several years, there are still significant problems in bringing today's hardware and software technology into the hands of the typical scientist. For example, there are other computer science domains outside of computer graphics that are required to make visualization effective such as data management. Well-defined, flexible mechanisms for data access and management must be combined with rendering algorithms, data transformation, etc. to form a generic visualization pipeline. A generalized approach to data visualization is critical for the correlative analysis of distinct, complex, multidimensional data sets in the space and Earth sciences. Different classes of data representation techniques must be used within such a framework, which can range from simple, static two- and three-dimensional line plots to animation, surface rendering, and volumetric imaging. Static examples of actual data analyses will illustrate the importance of an effective pipeline in data visualization system.

  2. Using Self-Organizing Neural Network Map Combined with Ward's Clustering Algorithm for Visualization of Students' Cognitive Structural Models about Aliveness Concept

    PubMed Central

    Ugulu, Ilker; Aydin, Halil

    2016-01-01

    We propose an approach to clustering and visualization of students' cognitive structural models. We use the self-organizing map (SOM) combined with Ward's clustering to conduct cluster analysis. In the study carried out on 100 subjects, a conceptual understanding test consisting of open-ended questions was used as a data collection tool. The results of analyses indicated that students constructed the aliveness concept by associating it predominantly with human. Motion appeared as the most frequently associated term with the aliveness concept. The results suggest that the aliveness concept has been constructed using anthropocentric and animistic cognitive structures. In the next step, we used the data obtained from the conceptual understanding test for training the SOM. Consequently, we propose a visualization method about cognitive structure of the aliveness concept. PMID:26819579

  3. Halftone visual cryptography.

    PubMed

    Zhou, Zhi; Arce, Gonzalo R; Di Crescenzo, Giovanni

    2006-08-01

    Visual cryptography encodes a secret binary image (SI) into n shares of random binary patterns. If the shares are xeroxed onto transparencies, the secret image can be visually decoded by superimposing a qualified subset of transparencies, but no secret information can be obtained from the superposition of a forbidden subset. The binary patterns of the n shares, however, have no visual meaning and hinder the objectives of visual cryptography. Extended visual cryptography [1] was proposed recently to construct meaningful binary images as shares using hypergraph colourings, but the visual quality is poor. In this paper, a novel technique named halftone visual cryptography is proposed to achieve visual cryptography via halftoning. Based on the blue-noise dithering principles, the proposed method utilizes the void and cluster algorithm [2] to encode a secret binary image into n halftone shares (images) carrying significant visual information. The simulation shows that the visual quality of the obtained halftone shares are observably better than that attained by any available visual cryptography method known to date.

  4. Visual field

    MedlinePlus

    Perimetry; Tangent screen exam; Automated perimetry exam; Goldmann visual field exam; Humphrey visual field exam ... Confrontation visual field exam : This is a quick and basic check of the visual field. The health care provider ...

  5. Declarative Visualization Queries

    NASA Astrophysics Data System (ADS)

    Pinheiro da Silva, P.; Del Rio, N.; Leptoukh, G. G.

    2011-12-01

    In an ideal interaction with machines, scientists may prefer to write declarative queries saying "what" they want from a machine than to write code stating "how" the machine is going to address the user request. For example, in relational database, users have long relied on specifying queries using Structured Query Language (SQL), a declarative language to request data results from a database management system. In the context of visualizations, we see that users are still writing code based on complex visualization toolkit APIs. With the goal of improving the scientists' experience of using visualization technology, we have applied this query-answering pattern to a visualization setting, where scientists specify what visualizations they want generated using a declarative SQL-like notation. A knowledge enhanced management system ingests the query and knows the following: (1) know how to translate the query into visualization pipelines; and (2) how to execute the visualization pipelines to generate the requested visualization. We define visualization queries as declarative requests for visualizations specified in an SQL like language. Visualization queries specify what category of visualization to generate (e.g., volumes, contours, surfaces) as well as associated display attributes (e.g., color and opacity), without any regards for implementation, thus allowing scientists to remain partially unaware of a wide range of visualization toolkit (e.g., Generic Mapping Tools and Visualization Toolkit) specific implementation details. Implementation details are only a concern for our knowledge-based visualization management system, which uses both the information specified in the query and knowledge about visualization toolkit functions to construct visualization pipelines. Knowledge about the use of visualization toolkits includes what data formats the toolkit operates on, what formats they output, and what views they can generate. Visualization knowledge, which is not

  6. Three-dimensional visualization of ensemble weather forecasts - Part 1: The visualization tool Met.3D (version 1.0)

    NASA Astrophysics Data System (ADS)

    Rautenhaus, M.; Kern, M.; Schäfler, A.; Westermann, R.

    2015-07-01

    We present "Met.3D", a new open-source tool for the interactive three-dimensional (3-D) visualization of numerical ensemble weather predictions. The tool has been developed to support weather forecasting during aircraft-based atmospheric field campaigns; however, it is applicable to further forecasting, research and teaching activities. Our work approaches challenging topics related to the visual analysis of numerical atmospheric model output - 3-D visualization, ensemble visualization and how both can be used in a meaningful way suited to weather forecasting. Met.3D builds a bridge from proven 2-D visualization methods commonly used in meteorology to 3-D visualization by combining both visualization types in a 3-D context. We address the issue of spatial perception in the 3-D view and present approaches to using the ensemble to allow the user to assess forecast uncertainty. Interactivity is key to our approach. Met.3D uses modern graphics technology to achieve interactive visualization on standard consumer hardware. The tool supports forecast data from the European Centre for Medium Range Weather Forecasts (ECMWF) and can operate directly on ECMWF hybrid sigma-pressure level grids. We describe the employed visualization algorithms, and analyse the impact of the ECMWF grid topology on computing 3-D ensemble statistical quantities. Our techniques are demonstrated with examples from the T-NAWDEX-Falcon 2012 (THORPEX - North Atlantic Waveguide and Downstream Impact Experiment) campaign.

  7. 3-D visualization of ensemble weather forecasts - Part 1: The visualization tool Met.3D (version 1.0)

    NASA Astrophysics Data System (ADS)

    Rautenhaus, M.; Kern, M.; Schäfler, A.; Westermann, R.

    2015-02-01

    We present Met.3D, a new open-source tool for the interactive 3-D visualization of numerical ensemble weather predictions. The tool has been developed to support weather forecasting during aircraft-based atmospheric field campaigns, however, is applicable to further forecasting, research and teaching activities. Our work approaches challenging topics related to the visual analysis of numerical atmospheric model output - 3-D visualization, ensemble visualization, and how both can be used in a meaningful way suited to weather forecasting. Met.3D builds a bridge from proven 2-D visualization methods commonly used in meteorology to 3-D visualization by combining both visualization types in a 3-D context. We address the issue of spatial perception in the 3-D view and present approaches to using the ensemble to allow the user to assess forecast uncertainty. Interactivity is key to our approach. Met.3D uses modern graphics technology to achieve interactive visualization on standard consumer hardware. The tool supports forecast data from the European Centre for Medium Range Weather Forecasts and can operate directly on ECMWF hybrid sigma-pressure level grids. We describe the employed visualization algorithms, and analyse the impact of the ECMWF grid topology on computing 3-D ensemble statistical quantitites. Our techniques are demonstrated with examples from the T-NAWDEX-Falcon 2012 campaign.

  8. BoreholeAR: A mobile tablet application for effective borehole database visualization using an augmented reality technology

    NASA Astrophysics Data System (ADS)

    Lee, Sangho; Suh, Jangwon; Park, Hyeong-Dong

    2015-03-01

    Boring logs are widely used in geological field studies since the data describes various attributes of underground and surface environments. However, it is difficult to manage multiple boring logs in the field as the conventional management and visualization methods are not suitable for integrating and combining large data sets. We developed an iPad application to enable its user to search the boring log rapidly and visualize them using the augmented reality (AR) technique. For the development of the application, a standard borehole database appropriate for a mobile-based borehole database management system was designed. The application consists of three modules: an AR module, a map module, and a database module. The AR module superimposes borehole data on camera imagery as viewed by the user and provides intuitive visualization of borehole locations. The map module shows the locations of corresponding borehole data on a 2D map with additional map layers. The database module provides data management functions for large borehole databases for other modules. Field survey was also carried out using more than 100,000 borehole data.

  9. Examining a knowledge domain: Interactive visualization of the Geographic Information Science and Technology Body of Knowledge 1

    NASA Astrophysics Data System (ADS)

    Stowell, Marilyn Ruth

    This research compared the effectiveness and performance of interactive visualizations of the GIS&T Body of Knowledge 1. The visualizations were created using Processing, and display the structure and content of the Body of Knowledge using various spatial layout methods: the Indented List, Tree Graph, treemap and Similarity Graph. The first three methods utilize the existing hierarchical structure of the BoK text, while the fourth method (Similarity Graph) serves as a jumping off point for exploring content-based visualizations of the BoK. The following questions have guided the framework of this research: (1) Which of the spatial layouts is most effective for completing tasks related to the GIS&T; BoK overall? How do they compare to each other in terms of performance? (2) Is one spatial layout significantly more or less effective than others for completing a particular cognitive task? (3) Is the user able to utilize the BoK as a basemap or reference system and make inferences based on BoK scorecard overlays? (4) Which design aspects of the interface assist in carrying out the survey objectives? Which design aspects of the application detract from fulfilling the objectives? To answer these questions, human subjects were recruited to participate in a survey, during which they were assigned a random spatial layout and were asked questions about the BoK based on their interaction with the visualization tool. 75 users were tested, 25 for each spatial layout. Statistical analysis revealed that there were no statistically significant differences between means for overall accuracy when comparing the three visualizations. In looking at individual questions, Tree Graph and Indented List yielded statistically significant higher scores for questions regarding the structure of the Body of Knowledge, as compared to the treemap. There was a significant strong positive correlation between the time taken to complete the survey and the final survey score. This correlation was

  10. Top Ten Interaction Challenges in Extreme-Scale Visual Analytics

    SciTech Connect

    Wong, Pak C.; Shen, Han-Wei; Chen, Chaomei

    2012-05-31

    The chapter presents ten selected user interfaces and interaction challenges in extreme-scale visual analytics. The study of visual analytics is often referred to as 'the science of analytical reasoning facilitated by interactive visual interfaces' in the literature. The discussion focuses on the issues of applying visual analytics technologies to extreme-scale scientific and non-scientific data ranging from petabyte to exabyte in sizes. The ten challenges are: in situ interactive analysis, user-driven data reduction, scalability and multi-level hierarchy, representation of evidence and uncertainty, heterogeneous data fusion, data summarization and triage for interactive query, analytics of temporally evolving features, the human bottleneck, design and engineering development, and the Renaissance of conventional wisdom. The discussion addresses concerns that arise from different areas of hardware, software, computation, algorithms, and human factors. The chapter also evaluates the likelihood of success in meeting these challenges in the near future.

  11. Visual Culture of Control

    ERIC Educational Resources Information Center

    Sweeny, Robert W.

    2006-01-01

    Current discussions regarding the notion of visual culture in art educational practice center the actions of the viewer as participant within the networks of visuality common in many contemporary societies. Surveillance technologies and techniques shift this notion of participation from active to passive, from seeing to being seen. This article…

  12. From Visualizing to Proving

    ERIC Educational Resources Information Center

    Zarzycki, Piotr

    2004-01-01

    The benefits of visualizing mathematics by using technology such as TI-92+ and mathematically oriented software (DERIVE 5 and CABRI II) are indisputable. On the basis of some examples we would like to show that visualizing techniques can help students to analyse certain mathematical problems better and give them strong support in finding formal…

  13. Visualization of electronic density

    DOE PAGES

    Grosso, Bastien; Cooper, Valentino R.; Pine, Polina; Hashibon, Adham; Yaish, Yuval; Adler, Joan

    2015-04-22

    An atom’s volume depends on its electronic density. Although this density can only be evaluated exactly for hydrogen-like atoms, there are many excellent numerical algorithms and packages to calculate it for other materials. 3D visualization of charge density is challenging, especially when several molecular/atomic levels are intertwined in space. We explore several approaches to 3D charge density visualization, including the extension of an anaglyphic stereo visualization application based on the AViz package to larger structures such as nanotubes. We will describe motivations and potential applications of these tools for answering interesting questions about nanotube properties.

  14. Evolving Attractive Faces Using Morphing Technology and a Genetic Algorithm: A New Approach to Determining Ideal Facial Aesthetics

    PubMed Central

    Wong, Brian J. F.; Karmi, Koohyar; Devcic, Zlatko; McLaren, Christine E.; Chen, Wen-Pin

    2013-01-01

    Objectives The objectives of this study were to: 1) determine if a genetic algorithm in combination with morphing software can be used to evolve more attractive faces; and 2) evaluate whether this approach can be used as a tool to define or identify the attributes of the ideal attractive face. Study Design Basic research study incorporating focus group evaluations. Methods Digital images were acquired of 250 female volunteers (18–25 y). Randomly selected images were used to produce a parent generation (P) of 30 synthetic faces using morphing software. Then, a focus group of 17 trained volunteers (18–25 y) scored each face on an attractiveness scale ranging from 1 (unattractive) to 10 (attractive). A genetic algorithm was used to select 30 new pairs from the parent generation, and these were morphed using software to produce a new first generation (F1) of faces. The F1 faces were scored by the focus group, and the process was repeated for a total of four iterations of the algorithm. The algorithm mimics natural selection by using the attractiveness score as the selection pressure; the more attractive faces are more likely to morph. All five generations (P-F4) were then scored by three focus groups: a) surgeons (n = 12), b) cosmetology students (n = 44), and c) undergraduate students (n = 44). Morphometric measurements were made of 33 specific features on each of the 150 synthetic faces, and correlated with attractiveness scores using univariate and multivariate analysis. Results The average facial attractiveness scores increased with each generation and were 3.66 (+0.60), 4.59 (±0.73), 5.50 (±0.62), 6.23 (±0.31), and 6.39 (±0.24) for P and F1–F4 generations, respectively. Histograms of attractiveness score distributions show a significant shift in the skew of each curve toward more attractive faces with each generation. Univariate analysis identified nasal width, eyebrow arch height, and lip thickness as being significantly correlated with attractiveness

  15. VisPortal: Deploying grid-enabled visualization tools through a web-portal interface

    SciTech Connect

    Bethel, Wes; Siegerist, Cristina; Shalf, John; Shetty, Praveenkumar; Jankun-Kelly, T.J.; Kreylos, Oliver; Ma, Kwan-Liu

    2003-06-09

    The LBNL/NERSC Visportal effort explores ways to deliver advanced Remote/Distributed Visualization (RDV) capabilities through a Grid-enabled web-portal interface. The effort focuses on latency tolerant distributed visualization algorithms, GUI designs that are more appropriate for the capabilities of web interfaces, and refactoring parallel-distributed applications to work in a N-tiered component deployment strategy. Most importantly, our aim is to leverage commercially-supported technology as much as possible in order to create a deployable, supportable, and hence viable platform for delivering grid-based visualization services to collaboratory users.

  16. Technology.

    ERIC Educational Resources Information Center

    Callison, Daniel

    2002-01-01

    Discussion of technology focuses on instructional technology. Topics include inquiry and technology; curriculum development; reflection and curriculum evaluation; criteria for technological innovations that will increase student motivation; standards; impact of new technologies on library media centers; software; and future trends. (LRW)

  17. Test technique development in interference free testing, flow visualization, and remote control model technology at Langley's Unitary Plan wind tunnel

    NASA Technical Reports Server (NTRS)

    Corlett, W. A.

    1979-01-01

    A metric half-span model is considered as a means of mechanical support for a wind-tunnel model which allows measurement of aerodynamic forces and moments without support interference or model distortion. This technique can be applied to interference-free propulsion models. The vapor screen method of flow visualization at supersonic Mach numbers is discussed. The use of smoke instead of water vapor as a medium to produce the screen is outlined. Vapor screen data are being used in the development of analytical vortex tracking programs. Test results for a remote control model system are evaluated. Detailed control effectiveness and cross-coupling data were obtained with a single run. For the afterbody tail configuration, tested control boundaries at several roll orientations were established utilizing the facility's on-line capability to 'fly' the model in the wind tunnel.

  18. Verbo-Visual Literacy: Understanding and Applying New Educational Communication Media Technologies. Selected Readings from the Symposium of the International Visual Literacy Association (Delphi, Greece, June 25-29, 1993).

    ERIC Educational Resources Information Center

    Metallinos, Nikos, Ed.

    This document contains the welcoming and keynote addresses and selected papers from a 1993 symposium of the International Visual Literacy Association. Topics addressed in the papers include: visual literacy; research methodology and design for content analysis of visual images; multimedia as courseware; design issues in authoring multimedia…

  19. Accessibility of e-Learning and Computer and Information Technologies for Students with Visual Impairments in Postsecondary Education

    ERIC Educational Resources Information Center

    Fichten, Catherine S.; Asuncion, Jennison V.; Barile, Maria; Ferraro, Vittoria; Wolforth, Joan

    2009-01-01

    This article presents the results of two studies on the accessibility of e-learning materials and other information and computer and communication technologies for 143 Canadian college and university students with low vision and 29 who were blind. It offers recommendations for enhancing access, creating new learning opportunities, and eliminating…

  20. Practices of Assistive Technology Implementation and Facilitation: Experiences of Teachers of Students with Visual Impairments in Singapore

    ERIC Educational Resources Information Center

    Wong, Meng Ee; Law, Janet S. P.

    2016-01-01

    Assistive technology is defined by the Individuals With Disabilities Education Improvement Act (IDEIA) of 2004 as "any item, piece of equipment, or product system, whether acquired commercially off the shelf, modified, or customized, that is used to increase, maintain, or improve functional capabilities of a child with a disability"…

  1. The Relevance of Feenberg's Critical Theory of Technology to Critical Visual Literacy: The Case of Scientific and Technical Illustrations

    ERIC Educational Resources Information Center

    Northcut, Kathryn M.

    2007-01-01

    Andrew Feenberg's critical theory of technology is an underutilized, relatively unknown resource in technical communication which could be exploited not only for its potential clarification of large social issues that involve our discipline, but also specifically toward the development of a critical theory of illustrations. Applications of…

  2. Fast and precise algorithms for calculating offset correction in single photon counting ASICs built in deep sub-micron technologies

    NASA Astrophysics Data System (ADS)

    Maj, P.

    2014-07-01

    An important trend in the design of readout electronics working in the single photon counting mode for hybrid pixel detectors is to minimize the single pixel area without sacrificing its functionality. This is the reason why many digital and analog blocks are made with the smallest, or next to smallest, transistors possible. This causes a problem with matching among the whole pixel matrix which is acceptable by designers and, of course, it should be corrected with the use of dedicated circuitry, which, by the same rule of minimizing devices, suffers from the mismatch. Therefore, the output of such a correction circuit, controlled by an ultra-small area DAC, is not only a non-linear function, but it is also often non-monotonic. As long as it can be used for proper correction of the DC operation points inside each pixel, it is acceptable, but the time required for correction plays an important role for both chip verification and the design of a big, multi-chip system. Therefore, we present two algorithms: a precise one and a fast one. The first algorithm is based on the noise hits profiles obtained during so called threshold scan procedures. The fast correction procedure is based on the trim DACs scan and it takes less than a minute in a SPC detector systems consisting of several thousands of pixels.

  3. Effect of whey protein concentrate and sodium chloride addition plus tumbling procedures on technological parameters, physical properties and visual appearance of sous vide cooked beef.

    PubMed

    Szerman, N; Gonzalez, C B; Sancho, A M; Grigioni, G; Carduza, F; Vaudagna, S R

    2007-07-01

    Beef muscles cooked by the sous vide system were evaluated for the effects of pre-injection tumbling, brine addition and post-injection tumbling on technological parameters, physical properties, visual appearance and tissue microstructure. The muscles were injected at 120% (over original weight) with a brine formulated to give a concentration of 3.5% whey protein concentrate and 0.7% sodium chloride on an injected raw product basis. Pre-injection tumbling did not affect most of the evaluated parameters. Brine addition reduced significantly the cooking and total weight losses. Total weight loss was 7.2% for injected muscles, and significantly higher (28.2%) for non-injected ones. Brine incorporation increased pH and reduced shear force values of cooked muscles. Extended post-injection tumbling (5rpm-10h) improved brine distribution and visual appearance, and also diminished the shear force values of cooked muscles. However, this treatment increased the weight losses of post-injection tumbling and cooking-pasteurization stages. PMID:22060988

  4. Effect of whey protein concentrate and sodium chloride addition plus tumbling procedures on technological parameters, physical properties and visual appearance of sous vide cooked beef.

    PubMed

    Szerman, N; Gonzalez, C B; Sancho, A M; Grigioni, G; Carduza, F; Vaudagna, S R

    2007-07-01

    Beef muscles cooked by the sous vide system were evaluated for the effects of pre-injection tumbling, brine addition and post-injection tumbling on technological parameters, physical properties, visual appearance and tissue microstructure. The muscles were injected at 120% (over original weight) with a brine formulated to give a concentration of 3.5% whey protein concentrate and 0.7% sodium chloride on an injected raw product basis. Pre-injection tumbling did not affect most of the evaluated parameters. Brine addition reduced significantly the cooking and total weight losses. Total weight loss was 7.2% for injected muscles, and significantly higher (28.2%) for non-injected ones. Brine incorporation increased pH and reduced shear force values of cooked muscles. Extended post-injection tumbling (5rpm-10h) improved brine distribution and visual appearance, and also diminished the shear force values of cooked muscles. However, this treatment increased the weight losses of post-injection tumbling and cooking-pasteurization stages.

  5. Visualization Techniques in Space and Atmospheric Sciences

    NASA Technical Reports Server (NTRS)

    Szuszczewicz, E. P. (Editor); Bredekamp, Joseph H. (Editor)

    1995-01-01

    Unprecedented volumes of data will be generated by research programs that investigate the Earth as a system and the origin of the universe, which will in turn require analysis and interpretation that will lead to meaningful scientific insight. Providing a widely distributed research community with the ability to access, manipulate, analyze, and visualize these complex, multidimensional data sets depends on a wide range of computer science and technology topics. Data storage and compression, data base management, computational methods and algorithms, artificial intelligence, telecommunications, and high-resolution display are just a few of the topics addressed. A unifying theme throughout the papers with regards to advanced data handling and visualization is the need for interactivity, speed, user-friendliness, and extensibility.

  6. Visualization of pallets

    NASA Astrophysics Data System (ADS)

    Bostelman, Roger; Hong, Tsai; Chang, Tommy

    2006-10-01

    The National Institute of Standards and Technology (NIST) has been studying pallet visualization for the automated guided vehicle (AGV) industry. Through a cooperative research and development agreement with Transbotics, an AGV manufacturer, NIST has developed advanced sensor processing and world modeling algorithms to verify pallet location and orientation with respect to the AGV. Sensor processing utilizes two onboard AGV, single scan-line, laser-range units. The "Safety" sensor is a safety unit located at the base of a forktruck AGV and the "Panner" sensor is a panning laser-ranger rotated 90 degrees, mounted on a rotating motor, and mounted at the top, front of the AGV. The Safety sensor, typically used to detect obstacles such as humans, was also used to detect pallets and their surrounding area such as the walls of a truck to be loaded with pallets. The Panner, was used to acquire many scan-lines of range data which was processed into a 3D point cloud and segment out the pallet by a priori, approximate pallet load or remaining truck volumes. A world model was then constructed and output to the vehicle for pallet/truck volume verification. This paper will explain this joint government/industry project and results of using LADAR imaging methods.

  7. Applying the CHAID Algorithm to Analyze How Achievement Is Influenced by University Students' Demographics, Study Habits, and Technology Familiarity

    ERIC Educational Resources Information Center

    Baran, Bahar; Kiliç, Eylem

    2015-01-01

    The purpose of this study is to analyze three separate constructs (demographics, study habits, and technology familiarity) that can be used to identify university students' characteristics and the relationship between each of these constructs with student achievement. A survey method was used for the current study, and the participants included…

  8. Robotic Follow Algorithm

    SciTech Connect

    2005-03-30

    The Robotic Follow Algorithm enables allows any robotic vehicle to follow a moving target while reactively choosing a route around nearby obstacles. The robotic follow behavior can be used with different camera systems and can be used with thermal or visual tracking as well as other tracking methods such as radio frequency tags.

  9. Eruptions on the fast track: application of Particle Tracking Velocimetry algorithms to visual and thermal high-speed videos of Strombolian explosions

    NASA Astrophysics Data System (ADS)

    Gaudin, Damien; Monica, Moroni; Jacopo, Taddeucci; Luca, Shindler; Piergiorgio, Scarlato

    2013-04-01

    Strombolian eruptions are characterized by mild, frequent explosions that eject gas and ash- to bomb-sized pyroclasts into the atmosphere. Studying these explosions is crucial, both for direct hazard assessment and for understanding eruption dynamics. Conventional thermal and optical imaging already allows characterizing several eruptive processes, but the quantification of key parameters linked to magma properties and conduit processes requires acquiring images at higher frequency. For example, high speed imaging already demonstrated how the size and the pressure of the gas bubble are linked to the decay of the ejection velocity of the particles, and the origin of the bombs, either fresh or recycled material, could be linked to their thermal evolution. However, the manual processing of the images is time consuming. Consequently, it does not allows neither the routine monitoring nor averaged statistics, since only a few relevant particles - usually the fastest - of a few explosions can be taken into account. In order to understand the dynamics of strombolian eruption, and particularly their cyclic behavior, the quantification of the total mass, heat and energy discharge are a crucial point. In this study, we use a Particle Tracking Velocimetry (PTV) algorithm jointly to traditional images processing to automatically extract the above parameters from visible and thermal high-speed videos of individual Strombolian explosions. PTV is an analysis technique where each single particle is detected and tracked during a series of images. Velocity, acceleration, and temperature can then be deduced and time averaged to get an extensive overview of each explosion. The suitability of PTV and its potential limitations in term of detection and representativity is investigated in various explosions of Stromboli (Italy), Yasur (Vanuatu) and Fuego (Guatemala) volcanoes. On most event, multiple sub-explosion are visible. In each sub-explosion, trends are noticeable : (1) the ejection

  10. Visual agnosia.

    PubMed

    Álvarez, R; Masjuan, J

    2016-03-01

    Visual agnosia is defined as an impairment of object recognition, in the absence of visual acuity or cognitive dysfunction that would explain this impairment. This condition is caused by lesions in the visual association cortex, sparing primary visual cortex. There are 2 main pathways that process visual information: the ventral stream, tasked with object recognition, and the dorsal stream, in charge of locating objects in space. Visual agnosia can therefore be divided into 2 major groups depending on which of the two streams is damaged. The aim of this article is to conduct a narrative review of the various visual agnosia syndromes, including recent developments in a number of these syndromes.

  11. Visual fatigue modeling for stereoscopic video shot based on camera motion

    NASA Astrophysics Data System (ADS)

    Shi, Guozhong; Sang, Xinzhu; Yu, Xunbo; Liu, Yangdong; Liu, Jing

    2014-11-01

    As three-dimensional television (3-DTV) and 3-D movie become popular, the discomfort of visual feeling limits further applications of 3D display technology. The cause of visual discomfort from stereoscopic video conflicts between accommodation and convergence, excessive binocular parallax, fast motion of objects and so on. Here, a novel method for evaluating visual fatigue is demonstrated. Influence factors including spatial structure, motion scale and comfortable zone are analyzed. According to the human visual system (HVS), people only need to converge their eyes to the specific objects for static cameras and background. Relative motion should be considered for different camera conditions determining different factor coefficients and weights. Compared with the traditional visual fatigue prediction model, a novel visual fatigue predicting model is presented. Visual fatigue degree is predicted using multiple linear regression method combining with the subjective evaluation. Consequently, each factor can reflect the characteristics of the scene, and the total visual fatigue score can be indicated according to the proposed algorithm. Compared with conventional algorithms which ignored the status of the camera, our approach exhibits reliable performance in terms of correlation with subjective test results.

  12. Algorithms for minimization of charge sharing effects in a hybrid pixel detector taking into account hardware limitations in deep submicron technology

    NASA Astrophysics Data System (ADS)

    Maj, P.; Baumbaugh, A.; Deptuch, G.; Grybos, P.; Szczygiel, R.

    2012-12-01

    Charge sharing is the main limitation of pixel detectors used in spectroscopic applications, noting that this applies to both time and amplitude/energy spectroscopy. Even though, charge sharing was the subject of many studies, there is still no ultimate solution which could be implemented in the hardware to suppress the negative effects of charge sharing. This is mainly because of strong demand on low power dissipation and small silicon area of a single pixel. The first solution of this problem was proposed by CERN and consequently it was implemented in the Medipix III chip. However, due to pixel-to-pixel threshold dispersions and some imperfections of the simplified algorithm, the hit allocation was not functioning properly. We are presenting novel algorithms which allow proper hit allocation even at the presence of charge sharing. They can be implemented in an integrated circuit using a deep submicron technology. In performed simulations, we assumed not only diffusive charge spread occurring in the course of charge drifting towards the electrodes but also limitations in the readout electronics, i.e. signal fluctuations due to noise and mismatch (gain and offsets). The simulations show that using, for example, a silicon pixel detector in the low X-ray energy range, we have been able to perform proper hit position identification and use the information from summing inter-pixel nodes for spectroscopy measurements.

  13. [Subretinal visual implants].

    PubMed

    Stingl, K; Greppmaier, U; Wilhelm, B; Zrenner, E

    2010-12-01

    Visual implants are medical technologies that replace parts of the visual neuronal pathway. The subretinal implant developed by our group is being used in a human trials since 2005 and replaces the function of degenerated photoreceptors by an electronic device in blind patients. The subretinal implant consists of a 70-µm thin microchip with 1500 microphotodiodes each with an amplifier and an electrode with area of 3 mm × 3 mm. The power supply is provided by a subdermal power supply cable. The microchip is implanted under the macula and transforms the light signal into an electrical one, which is referred directly to the bipolar cells. Requirements for a good function of the implant are a preserved function of the inner retina, as well as clear optic media and a good visual acuity in the earlier life. The current technology can mediate a visual field of 10 - 12° and a computed resolution of up to 0.25° visual angle (corresponding to a visual acuity of 63 / 1000 - 80 / 1000) in blind patients. The so far best results from our studies reached a visual acuity of 21 / 1000 in blind retinitis pigmentosa patients. This overview is intended to inform the ophthalmologist about the current state of the technology and help him/her to advise interested patients.

  14. Rapid Sampling for Visualizations with Ordering Guarantees

    PubMed Central

    Kim, Albert; Blais, Eric; Parameswaran, Aditya; Indyk, Piotr; Madden, Sam; Rubinfeld, Ronitt

    2015-01-01

    Visualizations are frequently used as a means to understand trends and gather insights from datasets, but often take a long time to generate. In this paper, we focus on the problem of rapidly generating approximate visualizations while preserving crucial visual properties of interest to analysts. Our primary focus will be on sampling algorithms that preserve the visual property of ordering; our techniques will also apply to some other visual properties. For instance, our algorithms can be used to generate an approximate visualization of a bar chart very rapidly, where the comparisons between any two bars are correct. We formally show that our sampling algorithms are generally applicable and provably optimal in theory, in that they do not take more samples than necessary to generate the visualizations with ordering guarantees. They also work well in practice, correctly ordering output groups while taking orders of magnitude fewer samples and much less time than conventional sampling schemes. PMID:26779380

  15. Audio detection algorithms

    NASA Astrophysics Data System (ADS)

    Neta, B.; Mansager, B.

    1992-08-01

    Audio information concerning targets generally includes direction, frequencies, and energy levels. One use of audio cueing is to use direction information to help determine where more sensitive visual direction and acquisition sensors should be directed. Generally, use of audio cueing will shorten times required for visual detection, although there could be circumstances where the audio information is misleading and degrades visual performance. Audio signatures can also be useful for helping classify the emanating platform, as well as to provide estimates of its velocity. The Janus combat simulation is the premier high resolution model used by the Army and other agencies to conduct research. This model has a visual detection model which essentially incorporates algorithms as described by Hartman(1985). The model in its current form does not have any sound cueing capability. This report is part of a research effort to investigate the utility of developing such a capability.

  16. Utilizing a scale model solar system project to visualize important planetary science concepts and develop technology and spatial reasoning skills

    NASA Astrophysics Data System (ADS)

    Kortenkamp, Stephen J.; Brock, Laci

    2016-10-01

    Scale model solar systems have been used for centuries to help educate young students and the public about the vastness of space and the relative sizes of objects. We have adapted the classic scale model solar system activity into a student-driven project for an undergraduate general education astronomy course at the University of Arizona. Students are challenged to construct and use their three dimensional models to demonstrate an understanding of numerous concepts in planetary science, including: 1) planetary obliquities, eccentricities, inclinations; 2) phases and eclipses; 3) planetary transits; 4) asteroid sizes, numbers, and distributions; 5) giant planet satellite and ring systems; 6) the Pluto system and Kuiper belt; 7) the extent of space travel by humans and robotic spacecraft; 8) the diversity of extrasolar planetary systems. Secondary objectives of the project allow students to develop better spatial reasoning skills and gain familiarity with technology such as Excel formulas, smart-phone photography, and audio/video editing.During our presentation we will distribute a formal description of the project and discuss our expectations of the students as well as present selected highlights from preliminary submissions.

  17. Quantifying Pilot Visual Attention in Low Visibility Terminal Operations

    NASA Technical Reports Server (NTRS)

    Ellis, Kyle K.; Arthur, J. J.; Latorella, Kara A.; Kramer, Lynda J.; Shelton, Kevin J.; Norman, Robert M.; Prinzel, Lawrence J.

    2012-01-01

    Quantifying pilot visual behavior allows researchers to determine not only where a pilot is looking and when, but holds implications for specific behavioral tracking when these data are coupled with flight technical performance. Remote eye tracking systems have been integrated into simulators at NASA Langley with effectively no impact on the pilot environment. This paper discusses the installation and use of a remote eye tracking system. The data collection techniques from a complex human-in-the-loop (HITL) research experiment are discussed; especially, the data reduction algorithms and logic to transform raw eye tracking data into quantified visual behavior metrics, and analysis methods to interpret visual behavior. The findings suggest superior performance for Head-Up Display (HUD) and improved attentional behavior for Head-Down Display (HDD) implementations of Synthetic Vision System (SVS) technologies for low visibility terminal area operations. Keywords: eye tracking, flight deck, NextGen, human machine interface, aviation

  18. Two Contrasting Approaches to Building High School Teacher Capacity to Teach About Local Climate Change Using Powerful Geospatial Data and Visualization Technology

    NASA Astrophysics Data System (ADS)

    Zalles, D. R.

    2011-12-01

    The presentation will compare and contrast two different place-based approaches to helping high school science teachers use geospatial data visualization technology to teach about climate change in their local regions. The approaches are being used in the development, piloting, and dissemination of two projects for high school science led by the author: the NASA-funded Data-enhanced Investigations for Climate Change Education (DICCE) and the NSF funded Studying Topography, Orographic Rainfall, and Ecosystems with Geospatial Information Technology (STORE). DICCE is bringing an extensive portal of Earth observation data, the Goddard Interactive Online Visualization and Analysis Infrastructure, to high school classrooms. STORE is making available data for viewing results of a particular IPCC-sanctioned climate change model in relation to recent data about average temperatures, precipitation, and land cover for study areas in central California and western New York State. Across the two projects, partner teachers of academically and ethnically diverse students from five states are participating in professional development and pilot testing. Powerful geospatial data representation technologies are difficult to implement in high school science because of challenges that teachers and students encounter navigating data access and making sense of data characteristics and nomenclature. Hence, on DICCE, the researchers are testing the theory that by providing a scaffolded technology-supported process for instructional design, starting from fundamental questions about the content domain, teachers will make better instructional decisions. Conversely, the STORE approach is rooted in the perspective that co-design of curricular materials among researchers and teacher partners that work off of "starter" lessons covering focal skills and understandings will lead to the most effective utilizations of the technology in the classroom. The projects' goals and strategies for student

  19. Why High Performance Visual Data Analytics is both Relevant and Difficult

    SciTech Connect

    Bethel, E. Wes; Byna, Suren; Ruebel, Oliver; Wu, K. John; Wehner, Michael

    2012-12-01

    Data visualization, as well as data analysis and data analytics, are all an integral part of the scientific process. Collectively, these technologies provide the means to gain insight into data of ever-increasing size and complexity. Over the past two decades, a substantial amount of visualization, analysis, and analytics R&D has focused on the challenges posed by increasing data size and complexity, as well as on the increasing complexity of a rapidly changing computational platform landscape. While some of this research focuses on solely on technologies, such as indexing and searching or novel analysis or visualization algorithms, other R&D projects focus on applying technological advances to specific application problems. Some of the most interesting and productive results occur when these two activities R&D and application are conducted in a collaborative fashion, where application needs drive R&D, and R&D results are immediately applicable to real world problems.

  20. Extreme Scale Visual Analytics

    SciTech Connect

    Steed, Chad A; Potok, Thomas E; Pullum, Laura L; Ramanathan, Arvind; Shipman, Galen M; Thornton, Peter E; Potok, Thomas E

    2013-01-01

    Given the scale and complexity of today s data, visual analytics is rapidly becoming a necessity rather than an option for comprehensive exploratory analysis. In this paper, we provide an overview of three applications of visual analytics for addressing the challenges of analyzing climate, text streams, and biosurveilance data. These systems feature varying levels of interaction and high performance computing technology integration to permit exploratory analysis of large and complex data of global significance.

  1. Biological Visualization, Imaging and Simulation(Bio-VIS) at NASA Ames Research Center: Developing New Software and Technology for Astronaut Training and Biology Research in Space

    NASA Technical Reports Server (NTRS)

    Smith, Jeffrey

    2003-01-01

    The Bio- Visualization, Imaging and Simulation (BioVIS) Technology Center at NASA's Ames Research Center is dedicated to developing and applying advanced visualization, computation and simulation technologies to support NASA Space Life Sciences research and the objectives of the Fundamental Biology Program. Research ranges from high resolution 3D cell imaging and structure analysis, virtual environment simulation of fine sensory-motor tasks, computational neuroscience and biophysics to biomedical/clinical applications. Computer simulation research focuses on the development of advanced computational tools for astronaut training and education. Virtual Reality (VR) and Virtual Environment (VE) simulation systems have become important training tools in many fields from flight simulation to, more recently, surgical simulation. The type and quality of training provided by these computer-based tools ranges widely, but the value of real-time VE computer simulation as a method of preparing individuals for real-world tasks is well established. Astronauts routinely use VE systems for various training tasks, including Space Shuttle landings, robot arm manipulations and extravehicular activities (space walks). Currently, there are no VE systems to train astronauts for basic and applied research experiments which are an important part of many missions. The Virtual Glovebox (VGX) is a prototype VE system for real-time physically-based simulation of the Life Sciences Glovebox where astronauts will perform many complex tasks supporting research experiments aboard the International Space Station. The VGX consists of a physical display system utilizing duel LCD projectors and circular polarization to produce a desktop-sized 3D virtual workspace. Physically-based modeling tools (Arachi Inc.) provide real-time collision detection, rigid body dynamics, physical properties and force-based controls for objects. The human-computer interface consists of two magnetic tracking devices

  2. Architecture for Teraflop Visualization

    SciTech Connect

    Breckenridge, A.R.; Haynes, R.A.

    1999-04-09

    Sandia Laboratories' computational scientists are addressing a very important question: How do we get insight from the human combined with the computer-generated information? The answer inevitably leads to using scientific visualization. Going one technology leap further is teraflop visualization, where the computing model and interactive graphics are an integral whole to provide computing for insight. In order to implement our teraflop visualization architecture, all hardware installed or software coded will be based on open modules and dynamic extensibility principles. We will illustrate these concepts with examples in our three main research areas: (1) authoring content (the computer), (2) enhancing precision and resolution (the human), and (3) adding behaviors (the physics).

  3. A Double-function Digital Watermarking Algorithm Based on Chaotic System and LWT

    NASA Astrophysics Data System (ADS)

    Yuxia, Zhao; Jingbo, Fan

    A double- function digital watermarking technology is studied and a double-function digital watermarking algorithm of colored image is presented based on chaotic system and the lifting wavelet transformation (LWT).The algorithm has realized the double aims of the copyright protection and the integrity authentication of image content. Making use of feature of human visual system (HVS), the watermark image is embedded into the color image's low frequency component and middle frequency components by different means. The algorithm has great security by using two kinds chaotic mappings and Arnold to scramble the watermark image at the same time. The algorithm has good efficiency by using LWT. The emulation experiment indicates the algorithm has great efficiency and security, and the effect of concealing is really good.

  4. Laser Optometric Assessment Of Visual Display Viewability

    NASA Astrophysics Data System (ADS)

    Murch, Gerald M.

    1983-08-01

    Through the technique of laser optometry, measurements of a display user's visual accommodation and binocular convergence were used to assess the visual impact of display color, technology, contrast, and work time. The studies reported here indicate the potential of visual-function measurements as an objective means of improving the design of visual displays.

  5. Visual Scripting.

    ERIC Educational Resources Information Center

    Halas, John

    Visual scripting is the coordination of words with pictures in sequence. This book presents the methods and viewpoints on visual scripting of fourteen film makers, from nine countries, who are involved in animated cinema; it contains concise examples of how a storybook and preproduction script can be prepared in visual terms; and it includes a…

  6. Acoustic and visual remote sensing of barrels of radioactive waste: Application of civilian and military technology to environmental management of the oceans

    SciTech Connect

    Karl, H.A.; Chin, J.L.; Maher, N.M.; Chavez, P.S. Jr.; Ueber, E.; Van Peeters, W.; Curl, H.

    1995-04-01

    As part of an ongoing strategic research project to find barrels of radioactive waste off San Francisco, the U.S. Navy (USN), the U.S. Geological Survey (USGS), and the Gulf of the Farallones National Marine Sanctuary (GFNMS) pooled their expertise, resources, and technology to form a partnership to verify new computer enhancement techniques developed for detecting targets the size of 55 gallon barrels on sidescan sonar images. Between 1946 and 1970, approximately 47,800 large barrels and other containers of radioactive waste were dumped in the ocean west of San Francisco; the containers litter an area of the sea floor of at least 1400 km {sup 2} knows as the Farallon Island Radioactive Waste Dump. The exact location of the containers and the potential hazard the containers pose to the environment is unknown. The USGS developed computer techniques and contracted with private industry to enhance sidescan data, collected in cooperation with the GFNMS, to detect objects as small as 55 gallon steel barrels while conducting regional scale sidescan sonar surveys. Using a subset of the regional sonar survey, images were plotted over a 125 km {sub 2} area. The acoustic interpretations were verified visually using the USN DSV Sea Cliff and the unmanned Advanced Tethered Vehicle (ATV). Barrels and other physical features were found where image enhancement had indicated they would be found. The interagency cooperation among the USN, USGS, and GFNMS has led to develop a cost effective and time efficient method to locate the barrels of radioactive waste. This method has universal application for locating containers of hazardous waste over a regional scale in other ocean areas such as Boston Harbor and the Kara Sea in the Arctic. This successful application of military and civilian expertise and technology has provided scientific information to help formulate policy decisions that affect the environmental management and quality of the ocean.

  7. Post-marathon wearing of Masai Barefoot Technology shoes facilitates recovery from race-induced fatigue: an evaluation utilizing a visual analog scale

    PubMed Central

    Nakagawa, Kento; Obu, Takashi; Kanosue, Kazuyuki

    2014-01-01

    Purpose To investigate the potential benefit of post-race wearing of unstable shoes (Masai Barefoot Technology [MBT]) on recovery from marathon race–induced fatigue. Patients and methods Forty-five runners who participated in a full marathon race were divided into three groups: 1) MBT shoes, 2) trail running shoes, and 3) control (CON). Participants ran a full marathon with their own running shoes, and then put on the assigned shoes immediately after the race. They continued to wear the assigned shoes for the ensuing 3 days. The CON group wore their usual shoes. Estimates of post-race fatigue were made by the participants on questionnaires that utilized a visual analog scale. Estimates were made just after the race, as well as for the next 3 days. Results The subjective fatigue of the MBT group was lower than that of the CON (P<0.05) or trail running shoe groups (P<0.05) on day 3. Conclusion MBT shoe intervention can promote recovery from the fatigue induced by running a full marathon. PMID:25525398

  8. Technology.

    ERIC Educational Resources Information Center

    Giorgis, Cyndi; Johnson, Nancy J.

    2002-01-01

    Presents annotations of 30 works of children's literature that support the topic of technology and its influences on readers' daily lives. Notes some stories tell about a time when simple tools enabled individuals to accomplish tasks, and others feature visionaries who used technology to create buildings, bridges, roads, and inventions. Considers…

  9. Visual Imagery without Visual Perception?

    ERIC Educational Resources Information Center

    Bertolo, Helder

    2005-01-01

    The question regarding visual imagery and visual perception remain an open issue. Many studies have tried to understand if the two processes share the same mechanisms or if they are independent, using different neural substrates. Most research has been directed towards the need of activation of primary visual areas during imagery. Here we review…

  10. Visual Literacy and Visual Culture.

    ERIC Educational Resources Information Center

    Messaris, Paul

    Familiarity with specific images or sets of images plays a role in a culture's visual heritage. Two questions can be asked about this type of visual literacy: Is this a type of knowledge that is worth building into the formal educational curriculum of our schools? What are the educational implications of visual literacy? There is a three-part…

  11. Visualization Design Environment

    SciTech Connect

    Pomplun, A.R.; Templet, G.J.; Jortner, J.N.; Friesen, J.A.; Schwegel, J.; Hughes, K.R.

    1999-02-01

    Improvements in the performance and capabilities of computer software and hardware system, combined with advances in Internet technologies, have spurred innovative developments in the area of modeling, simulation and visualization. These developments combine to make it possible to create an environment where engineers can design, prototype, analyze, and visualize components in virtual space, saving the time and expenses incurred during numerous design and prototyping iterations. The Visualization Design Centers located at Sandia National Laboratories are facilities built specifically to promote the ''design by team'' concept. This report focuses on designing, developing and deploying this environment by detailing the design of the facility, software infrastructure and hardware systems that comprise this new visualization design environment and describes case studies that document successful application of this environment.

  12. Assisting the Visually Impaired: Obstacle Detection and Warning System by Acoustic Feedback

    PubMed Central

    Rodríguez, Alberto; Yebes, J. Javier; Alcantarilla, Pablo F.; Bergasa, Luis M.; Almazán, Javier; Cela, Andrés

    2012-01-01

    The aim of this article is focused on the design of an obstacle detection system for assisting visually impaired people. A dense disparity map is computed from the images of a stereo camera carried by the user. By using the dense disparity map, potential obstacles can be detected in 3D in indoor and outdoor scenarios. A ground plane estimation algorithm based on RANSAC plus filtering techniques allows the robust detection of the ground in every frame. A polar grid representation is proposed to account for the potential obstacles in the scene. The design is completed with acoustic feedback to assist visually impaired users while approaching obstacles. Beep sounds with different frequencies and repetitions inform the user about the presence of obstacles. Audio bone conducting technology is employed to play these sounds without interrupting the visually impaired user from hearing other important sounds from its local environment. A user study participated by four visually impaired volunteers supports the proposed system. PMID:23247413

  13. Frameless Volume Visualization.

    PubMed

    Petkov, Kaloian; Kaufman, Arie E

    2016-02-01

    We have developed a novel visualization system based on the reconstruction of high resolution and high frame rate images from a multi-tiered stream of samples that are rendered framelessly. This decoupling of the rendering system from the display system is particularly suitable when dealing with very high resolution displays or expensive rendering algorithms, where the latency of generating complete frames may be prohibitively high for interactive applications. In contrast to the traditional frameless rendering technique, we generate the lowest latency samples on the optimal sampling lattice in the 3D domain. This approach avoids many of the artifacts associated with existing sample caching and reprojection methods during interaction that may not be acceptable in many visualization applications. Advanced visualization effects are generated remotely and streamed into the reconstruction system using tiered samples with varying latencies and quality levels. We demonstrate the use of our visualization system for the exploration of volumetric data at stable guaranteed frame rates on high resolution displays, including a 470 megapixel tiled display as part of the Reality Deck immersive visualization facility.

  14. ICT, Education, and Visual Impairment.

    ERIC Educational Resources Information Center

    Douglas, Graeme

    2001-01-01

    Reviews developments in the use of information and communications technology (ICT) in the education of children with visual impairments. Highlights include the population of children with visual impairments in the United Kingdom; and World Health Organization classification of disability as a criteria by which the relevance of ICT can be measured.…

  15. Visual Resources on the Internet.

    ERIC Educational Resources Information Center

    Jaber, William E.; Hou, Feng

    With the development of the Internet technology and proliferation of the network application, visual materials have been digitized and archived on many publicly accessible computer servers. However, these visual resources can be beneficial to educators only when they know what they are, what they look like, in what format they are created, and how…

  16. Learning from Balance Sheet Visualization

    ERIC Educational Resources Information Center

    Tanlamai, Uthai; Soongswang, Oranuj

    2011-01-01

    This exploratory study examines alternative visuals and their effect on the level of learning of balance sheet users. Executive and regular classes of graduate students majoring in information technology in business were asked to evaluate the extent of acceptance and enhanced capability of these alternative visuals toward their learning…

  17. Technology.

    ERIC Educational Resources Information Center

    Online-Offline, 1998

    1998-01-01

    Focuses on technology, on advances in such areas as aeronautics, electronics, physics, the space sciences, as well as computers and the attendant progress in medicine, robotics, and artificial intelligence. Describes educational resources for elementary and middle school students, including Web sites, CD-ROMs and software, videotapes, books,…

  18. Virtual Environments in Scientific Visualization

    NASA Technical Reports Server (NTRS)

    Bryson, Steve; Cooper, D. M.

    1994-01-01

    Virtual environment technology is a new way of approaching the interface between computers and humans. Emphasizing display and user control that conforms to the user's natural ways of perceiving and thinking about space, virtual environment technologies enhance the ability to perceive and interact with computer generated graphic information. This enhancement potentially has a major effect on the field of scientific visualization. Current examples of this technology include the Virtual Windtunnel being developed at NASA Ames Research Center. Other major institutions such as the National Center for Supercomputing Applications and SRI International are also exploring this technology. This talk will be describe several implementations of virtual environments for use in scientific visualization. Examples include the visualization of unsteady fluid flows (the virtual windtunnel), the visualization of geodesics in curved spacetime, surface manipulation, and examples developed at various laboratories.

  19. Visualizing Energy Resources Dynamically on Earth (VERDE)

    2009-06-01

    VERDE is a software service that ingests data on real-time eneryg grid status and analyzes the data with models and algorithms presenting the output in a form that can be visualized by client spatio-temporal browsers

  20. Visual Theorems.

    ERIC Educational Resources Information Center

    Davis, Philip J.

    1993-01-01

    Argues for a mathematics education that interprets the word "theorem" in a sense that is wide enough to include the visual aspects of mathematical intuition and reasoning. Defines the term "visual theorems" and illustrates the concept using the Marigold of Theodorus. (Author/MDH)

  1. Mathematical Visualization

    ERIC Educational Resources Information Center

    Rogness, Jonathan

    2011-01-01

    Advances in computer graphics have provided mathematicians with the ability to create stunning visualizations, both to gain insight and to help demonstrate the beauty of mathematics to others. As educators these tools can be particularly important as we search for ways to work with students raised with constant visual stimulation, from video games…

  2. Visual Closure.

    ERIC Educational Resources Information Center

    Groffman, Sidney

    An experimental test of visual closure based on an information-theory concept of perception was devised to test the ability to discriminate visual stimuli with reduced cues. The test is to be administered in a timed individual situation in which the subject is presented with sets of incomplete drawings of simple objects that he is required to name…

  3. Visual Thinking.

    ERIC Educational Resources Information Center

    Arnheim, Rudolf

    Based on the more general principle that all thinking (including reasoning) is basically perceptual in nature, the author proposes that visual perception is not a passive recording of stimulus material but an active concern of the mind. He delineates the task of visually distinguishing changes in size, shape, and position and points out the…

  4. Visual agnosia.

    PubMed

    Biran, I; Coslett, H B

    2003-11-01

    The visual agnosias are an intriguing class of clinical phenomena that have important implications for current theories of high-level vision. Visual agnosia is defined as impaired object recognition that cannot be attributed to visual loss, language impairment, or a general mental decline. At least in some instances, agnostic patients generate an adequate internal representation of the stimulus but fail to recognize it. In this review, we begin by describing the classic works related to the visual agnosias, followed by a description of the major clinical variants and their occurrence in degenerative disorders. In keeping with the theme of this issue, we then discuss recent contributions to this domain. Finally, we present evidence from functional imaging studies to support the clinical distinction between the various types of visual agnosias.

  5. Building Adoption of Visual Analytics Software

    SciTech Connect

    Chinchor, Nancy; Cook, Kristin A.; Scholtz, Jean

    2012-01-05

    Adoption of technology is always difficult. Issues such as having the infrastructure necessary to support the technology, training for users, integrating the technology into current processes and tools, and having the time, managerial support, and necessary funds need to be addressed. In addition to these issues, the adoption of visual analytics tools presents specific challenges that need to be addressed. This paper discusses technology adoption challenges and approaches for visual analytics technologies.

  6. New Algorithm for Managing Childhood Illness Using Mobile Technology (ALMANACH): A Controlled Non-Inferiority Study on Clinical Outcome and Antibiotic Use in Tanzania

    PubMed Central

    Shao, Amani Flexson; Rambaud-Althaus, Clotilde; Samaka, Josephine; Faustine, Allen Festo; Perri-Moore, Seneca; Swai, Ndeniria; Mitchell, Marc; Genton, Blaise; D’Acremont, Valérie

    2015-01-01

    Introduction The decline of malaria and scale-up of rapid diagnostic tests calls for a revision of IMCI. A new algorithm (ALMANACH) running on mobile technology was developed based on the latest evidence. The objective was to ensure that ALMANACH was safe, while keeping a low rate of antibiotic prescription. Methods Consecutive children aged 2–59 months with acute illness were managed using ALMANACH (2 intervention facilities), or standard practice (2 control facilities) in Tanzania. Primary outcomes were proportion of children cured at day 7 and who received antibiotics on day 0. Results 130/842 (15∙4%) in ALMANACH and 241/623 (38∙7%) in control arm were diagnosed with an infection in need for antibiotic, while 3∙8% and 9∙6% had malaria. 815/838 (97∙3%;96∙1–98.4%) were cured at D7 using ALMANACH versus 573/623 (92∙0%;89∙8–94∙1%) using standard practice (p<0∙001). Of 23 children not cured at D7 using ALMANACH, 44% had skin problems, 30% pneumonia, 26% upper respiratory infection and 13% likely viral infection at D0. Secondary hospitalization occurred for one child using ALMANACH and one who eventually died using standard practice. At D0, antibiotics were prescribed to 15∙4% (12∙9–17∙9%) using ALMANACH versus 84∙3% (81∙4–87∙1%) using standard practice (p<0∙001). 2∙3% (1∙3–3.3) versus 3∙2% (1∙8–4∙6%) received an antibiotic secondarily. Conclusion Management of children using ALMANACH improve clinical outcome and reduce antibiotic prescription by 80%. This was achieved through more accurate diagnoses and hence better identification of children in need of antibiotic treatment or not. The building on mobile technology allows easy access and rapid update of the decision chart. Trial Registration Pan African Clinical Trials Registry PACTR201011000262218 PMID:26161535

  7. Expanding the Frontiers of Visual Analytics and Visualization

    SciTech Connect

    Dill, John; Earnshaw, Rae; Kasik, David; Vince, John; Wong, Pak C.

    2012-05-31

    Expanding the Frontiers of Visual Analytics and Visualization contains international contributions by leading researchers from within the field. Dedicated to the memory of Jim Thomas, the book begins with the dynamics of evolving a vision based on some of the principles that Jim and colleagues established and in which Jim’s leadership was evident. This is followed by chapters in the areas of visual analytics, visualization, interaction, modelling, architecture, and virtual reality, before concluding with the key area of technology transfer to industry.

  8. Visualization Dot Com

    SciTech Connect

    Bethel, Wes

    2000-02-09

    In this article, we explore the seemingly well-worn subject of distance-based, or remote visualization. Current practices in remote visualization tend to clump into two broad categories. One approach, which we'll call render-remote, is to render an image remotely, then transmit the data to the user. Another option, render-local, transfers raw data to the user, where it is then visualized and rendered on the local workstation. With advances in networking and graphics technology, we can explore a class of approaches from a new, third category. With this third category, which we'll called shared, or ''dot com'' visualization, we stand to reap the best of both worlds; minimized data transfers and workstation-accelerated rendering. We will describe a prototype system called Visapult currently under development at Lawrence Berkeley National Laboratory (LBNL) that strikes such a balance, achieving a blended, scalable visualization tool. ''Dot com'' visualization means that remote and local resources collaborate and negotiate, combining capabilities to produce a final product.

  9. Visual cognition

    PubMed Central

    Cavanagh, Patrick

    2011-01-01

    Visual cognition, high-level vision, mid-level vision and top-down processing all refer to decision-based scene analyses that combine prior knowledge with retinal input to generate representations. The label “visual cognition” is little used at present, but research and experiments on mid- and high-level, inference-based vision have flourished, becoming in the 21st century a significant, if often understated part, of current vision research. How does visual cognition work? What are its moving parts? This paper reviews the origins and architecture of visual cognition and briefly describes some work in the areas of routines, attention, surfaces, objects, and events (motion, causality, and agency). Most vision scientists avoid being too explicit when presenting concepts about visual cognition, having learned that explicit models invite easy criticism. What we see in the literature is ample evidence for visual cognition, but few or only cautious attempts to detail how it might work. This is the great unfinished business of vision research: at some point we will be done with characterizing how the visual system measures the world and we will have to return to the question of how vision constructs models of objects, surfaces, scenes, and events. PMID:21329719

  10. Challenges for Visual Analytics

    SciTech Connect

    Thomas, James J.; Kielman, Joseph

    2009-09-23

    Visual analytics has seen unprecedented growth in its first five years of mainstream existence. Great progress has been made in a short time, yet great challenges must be met in the next decade to provide new technologies that will be widely accepted by societies throughout the world. This paper sets the stage for some of those challenges in an effort to provide the stimulus for the research, both basic and applied, to address and exceed the envisioned potential for visual analytics technologies. We start with a brief summary of the initial challenges, followed by a discussion of the initial driving domains and applications, as well as additional applications and domains that have been a part of recent rapid expansion of visual analytics usage. We look at the common characteristics of several tools illustrating emerging visual analytics technologies, and conclude with the top ten challenges for the field of study. We encourage feedback and collaborative participation by members of the research community, the wide array of user communities, and private industry.

  11. D Visualization of Volcanic Ash Dispersion Prediction with Spatial Information Open Platform in Korea

    NASA Astrophysics Data System (ADS)

    Youn, J.; Kim, T.

    2016-06-01

    Visualization of disaster dispersion prediction enables decision makers and civilian to prepare disaster and to reduce the damage by showing the realistic simulation results. With advances of GIS technology and the theory of volcanic disaster prediction algorithm, the predicted disaster dispersions are displayed in spatial information. However, most of volcanic ash dispersion predictions are displayed in 2D. 2D visualization has a limitation to understand the realistic dispersion prediction since its height could be presented only by colour. Especially for volcanic ash, 3D visualization of dispersion prediction is essential since it could bring out big aircraft accident. In this paper, we deals with 3D visualization techniques of volcanic ash dispersion prediction with spatial information open platform in Korea. First, time-series volcanic ash 3D position and concentrations are calculated with WRF (Weather Research and Forecasting) model and Modified Fall3D algorithm. For 3D visualization, we propose three techniques; those are 'Cube in the air', 'Cube in the cube', and 'Semi-transparent plane in the air' methods. In the 'Cube in the Air', which locates the semitransparent cubes having different color depends on its particle concentration. Big cube is not realistic when it is zoomed. Therefore, cube is divided into small cube with Octree algorithm. That is 'Cube in the Cube' algorithm. For more realistic visualization, we apply 'Semi-transparent Volcanic Ash Plane' which shows the ash as fog. The results are displayed in the 'V-world' which is a spatial information open platform implemented by Korean government. Proposed techniques were adopted in Volcanic Disaster Response System implemented by Korean Ministry of Public Safety and Security.

  12. Industrial Inspection with Open Eyes: Advance with Machine Vision Technology

    SciTech Connect

    Liu, Zheng; Ukida, H.; Niel, Kurt; Ramuhalli, Pradeep

    2015-10-01

    Machine vision systems have evolved significantly with the technology advances to tackle the challenges from modern manufacturing industry. A wide range of industrial inspection applications for quality control are benefiting from visual information captured by different types of cameras variously configured in a machine vision system. This chapter screens the state of the art in machine vision technologies in the light of hardware, software tools, and major algorithm advances for industrial inspection. The inspection beyond visual spectrum offers a significant complementary to the visual inspection. The combination with multiple technologies makes it possible for the inspection to achieve a better performance and efficiency in varied applications. The diversity of the applications demonstrates the great potential of machine vision systems for industry.

  13. Visual impairment.

    PubMed

    Ellenberger, Carl

    2016-01-01

    This chapter can guide the use of imaging in the evaluation of common visual syndromes: transient visual disturbance, including migraine and amaurosis fugax; acute optic neuropathy complicating multiple sclerosis, neuromyelitis optica spectrum disorder, Leber hereditary optic neuropathy, and Susac syndrome; papilledema and pseudotumor cerebri syndrome; cerebral disturbances of vision, including posterior cerebral arterial occlusion, posterior reversible encephalopathy, hemianopia after anterior temporal lobe resection, posterior cortical atrophy, and conversion blindness. Finally, practical efforts in visual rehabilitation by sensory substitution for blind patients can improve their lives and disclose new information about the brain. PMID:27430448

  14. Personal Visualization and Personal Visual Analytics.

    PubMed

    Huang, Dandan; Tory, Melanie; Aseniero, Bon Adriel; Bartram, Lyn; Bateman, Scott; Carpendale, Sheelagh; Tang, Anthony; Woodbury, Robert

    2015-03-01

    Data surrounds each and every one of us in our daily lives, ranging from exercise logs, to archives of our interactions with others on social media, to online resources pertaining to our hobbies. There is enormous potential for us to use these data to understand ourselves better and make positive changes in our lives. Visualization (Vis) and visual analytics (VA) offer substantial opportunities to help individuals gain insights about themselves, their communities and their interests; however, designing tools to support data analysis in non-professional life brings a unique set of research and design challenges. We investigate the requirements and research directions required to take full advantage of Vis and VA in a personal context. We develop a taxonomy of design dimensions to provide a coherent vocabulary for discussing personal visualization and personal visual analytics. By identifying and exploring clusters in the design space, we discuss challenges and share perspectives on future research. This work brings together research that was previously scattered across disciplines. Our goal is to call research attention to this space and engage researchers to explore the enabling techniques and technology that will support people to better understand data relevant to their personal lives, interests, and needs.

  15. Personal Visualization and Personal Visual Analytics.

    PubMed

    Huang, Dandan; Tory, Melanie; Aseniero, Bon Adriel; Bartram, Lyn; Bateman, Scott; Carpendale, Sheelagh; Tang, Anthony; Woodbury, Robert

    2015-03-01

    Data surrounds each and every one of us in our daily lives, ranging from exercise logs, to archives of our interactions with others on social media, to online resources pertaining to our hobbies. There is enormous potential for us to use these data to understand ourselves better and make positive changes in our lives. Visualization (Vis) and visual analytics (VA) offer substantial opportunities to help individuals gain insights about themselves, their communities and their interests; however, designing tools to support data analysis in non-professional life brings a unique set of research and design challenges. We investigate the requirements and research directions required to take full advantage of Vis and VA in a personal context. We develop a taxonomy of design dimensions to provide a coherent vocabulary for discussing personal visualization and personal visual analytics. By identifying and exploring clusters in the design space, we discuss challenges and share perspectives on future research. This work brings together research that was previously scattered across disciplines. Our goal is to call research attention to this space and engage researchers to explore the enabling techniques and technology that will support people to better understand data relevant to their personal lives, interests, and needs. PMID:26357073

  16. Treemap Visualizations for Space Situational Awareness

    NASA Astrophysics Data System (ADS)

    Ianni, J.; Gorrell, Z.

    Making sense of massive data sets is a problem for many military domains including space. With unwieldy big data sets used for space situational awareness (SSA), important trends and outliers may not be easy to spot especially not at-a-glance. One method being explored to visualize SSA data sets is called treemapping. Treemaps fill screen space with nested rectangles (tiles) of various sizes and colors to represent multiple dimensions of hierarchical data sets. By mapping these dimensions effectively with a tiling algorithm that maintains an appropriate aspect ratio, patterns can emerge that often would have gone unnoticed. The ability to interactively perform range filtering (in our case with sliders) and object drill-downs (hyperlinking the tiles) make this technology powerful for in-depth analyses in addition to at-a-glance awareness. For one SSA analysis, the tiles could represent satellites that are grouped by country, sized by apogee, and colored/shaded by the launch date. Filter sliders could allow apogee range or launch dates to be narrowed for better resolution of a smaller data set. The application of this technology for the Joint Space Operations Center (JSpOC) Mission System (JMS) is being explored on a DARPA Small Business Innovative Research (SBIR) effort as a plug-in to the existing User-Defined Operational Picture (UDOP). In addition, visualization of DARPA OrbitOutlook small telescope data will be demonstrated. This research will investigate what SSA analyses are best served by treemaps, the best tiling algorithms for these problems, and how the treemaps should be integrated into the existing JMS UDOP workflow. Finally, we introduce a variation of treemaps that help leaders allocate their time to tasks based on importance and urgency.

  17. Visual cognition

    SciTech Connect

    Pinker, S.

    1985-01-01

    This book consists of essays covering issues in visual cognition presenting experimental techniques from cognitive psychology, methods of modeling cognitive processes on computers from artificial intelligence, and methods of studying brain organization from neuropsychology. Topics considered include: parts of recognition; visual routines; upward direction; mental rotation, and discrimination of left and right turns in maps; individual differences in mental imagery, computational analysis and the neurological basis of mental imagery: componental analysis.

  18. Visual search.

    PubMed

    Chan, Louis K H; Hayward, William G

    2013-07-01

    Visual search is the act of looking for a predefined target among other objects. This task has been widely used as an experimental paradigm to study visual attention, and because of its influence has also become a subject of research itself. When used as a paradigm, visual search studies address questions including the nature, function, and limits of preattentive processing and focused attention. As a subject of research, visual search studies address the role of memory in search, the procedures involved in search, and factors that affect search performance. In this article, we review major theories of visual search, the ways in which preattentive information is used to guide attentional allocation, the role of memory, and the processes and decisions involved in its successful completion. We conclude by summarizing the current state of knowledge about visual search and highlight some unresolved issues. WIREs Cogn Sci 2013, 4:415-429. doi: 10.1002/wcs.1235 The authors have declared no conflicts of interest for this article. For further resources related to this article, please visit the WIREs website.

  19. Visualization of Traffic Accidents

    NASA Technical Reports Server (NTRS)

    Wang, Jie; Shen, Yuzhong; Khattak, Asad

    2010-01-01

    Traffic accidents have tremendous impact on society. Annually approximately 6.4 million vehicle accidents are reported by police in the US and nearly half of them result in catastrophic injuries. Visualizations of traffic accidents using geographic information systems (GIS) greatly facilitate handling and analysis of traffic accidents in many aspects. Environmental Systems Research Institute (ESRI), Inc. is the world leader in GIS research and development. ArcGIS, a software package developed by ESRI, has the capabilities to display events associated with a road network, such as accident locations, and pavement quality. But when event locations related to a road network are processed, the existing algorithm used by ArcGIS does not utilize all the information related to the routes of the road network and produces erroneous visualization results of event locations. This software bug causes serious problems for applications in which accurate location information is critical for emergency responses, such as traffic accidents. This paper aims to address this problem and proposes an improved method that utilizes all relevant information of traffic accidents, namely, route number, direction, and mile post, and extracts correct event locations for accurate traffic accident visualization and analysis. The proposed method generates a new shape file for traffic accidents and displays them on top of the existing road network in ArcGIS. Visualization of traffic accidents along Hampton Roads Bridge Tunnel is included to demonstrate the effectiveness of the proposed method.

  20. Space shuttle visual simulation system design study

    NASA Technical Reports Server (NTRS)

    1973-01-01

    The current and near-future state-of-the-art in visual simulation equipment technology is related to the requirements of the space shuttle visual system. Image source, image sensing, and displays are analyzed on a subsystem basis, and the principal conclusions are used in the formulation of a recommended baseline visual system. Perceptibility and visibility are also analyzed.

  1. Visual Literacy and the Social Studies.

    ERIC Educational Resources Information Center

    Elwell, William C.; Hess, Marta

    1979-01-01

    Children growing up in this technological age need to develop nonverbal communication skills as well as verbal skills. The authors review the importance of various types of visual communication and visual literacy, and suggest projects for classes or individuals using cameras, films, and other media to stimulate visual communication skills. (AV)

  2. Polygon cluster pattern recognition based on new visual distance

    NASA Astrophysics Data System (ADS)

    Shuai, Yun; Shuai, Haiyan; Ni, Lin

    2007-06-01

    The pattern recognition of polygon clusters is a most attention-getting problem in spatial data mining. The paper carries through a research on this problem, based on spatial cognition principle and visual recognition Gestalt principle combining with spatial clustering method, and creates two innovations: First, the paper carries through a great improvement to the concept---"visual distance". In the definition of this concept, not only are Euclid's Distance, orientation difference and dimension discrepancy comprehensively thought out, but also is "similarity degree of object shape" crucially considered. In the calculation of "visual distance", the distance calculation model is built using Delaunay Triangulation geometrical structure. Second, the research adopts spatial clustering analysis based on MST Tree. In the design of pruning algorithm, the study initiates data automatism delamination mechanism and introduces Simulated Annealing Optimization Algorithm. This study provides a new research thread for GIS development, namely, GIS is an intersection principle, whose research method should be open and diverse. Any mature technology of other relative principles can be introduced into the study of GIS, but, they need to be improved on technical measures according to the principles of GIS as "spatial cognition science". Only to do this, can GIS develop forward on a higher and stronger plane.

  3. Employing Omnidirectional Visual Control for Mobile Robotics.

    ERIC Educational Resources Information Center

    Wright, J. R., Jr.; Jung, S.; Steplight, S.; Wright, J. R., Sr.; Das, A.

    2000-01-01

    Describes projects using conventional technologies--incorporation of relatively inexpensive visual control with mobile robots using a simple remote control vehicle platform, a camera, a mirror, and a computer. Explains how technology teachers can apply them in the classroom. (JOW)

  4. Threshold matrix for digital halftoning by genetic algorithm optimization

    NASA Astrophysics Data System (ADS)

    Alander, Jarmo T.; Mantere, Timo J.; Pyylampi, Tero

    1998-10-01

    Digital halftoning is used both in low and high resolution high quality printing technologies. Our method is designed to be mainly used for low resolution ink jet marking machines to produce both gray tone and color images. The main problem with digital halftoning is pink noise caused by the human eye's visual transfer function. To compensate for this the random dot patterns used are optimized to contain more blue than pink noise. Several such dot pattern generator threshold matrices have been created automatically by using genetic algorithm optimization, a non-deterministic global optimization method imitating natural evolution and genetics. A hybrid of genetic algorithm with a search method based on local backtracking was developed together with several fitness functions evaluating dot patterns for rectangular grids. By modifying the fitness function, a family of dot generators results, each with its particular statistical features. Several versions of genetic algorithms, backtracking and fitness functions were tested to find a reasonable combination. The generated threshold matrices have been tested by simulating a set of test images using the Khoros image processing system. Even though the work was focused on developing low resolution marking technology, the resulting family of dot generators can be applied also in other halftoning application areas including high resolution printing technology.

  5. Visual Prosthesis

    PubMed Central

    Schiller, Peter H.; Tehovnik, Edward J.

    2009-01-01

    There are more than 40 million blind individuals in the world whose plight would be greatly ameliorated by creating a visual prosthetic. We begin by outlining the basic operational characteristics of the visual system as this knowledge is essential for producing a prosthetic device based on electrical stimulation through arrays of implanted electrodes. We then list a series of tenets that we believe need to be followed in this effort. Central among these is our belief that the initial research in this area, which is in its infancy, should first be carried out in animals. We suggest that implantation of area V1 holds high promise as the area is of a large volume and can therefore accommodate extensive electrode arrays. We then proceed to consider coding operations that can effectively convert visual images viewed by a camera to stimulate electrode arrays to yield visual impressions that can provide shape, motion and depth information. We advocate experimental work that mimics electrical stimulation effects non-invasively in sighted human subjects using a camera from which visual images are converted into displays on a monitor akin to those created by electrical stimulation. PMID:19065857

  6. Robot Evolutionary Localization Based on Attentive Visual Short-Term Memory

    PubMed Central

    Vega, Julio; Perdices, Eduardo; Cañas, José M.

    2013-01-01

    Cameras are one of the most relevant sensors in autonomous robots. However, two of their challenges are to extract useful information from captured images, and to manage the small field of view of regular cameras. This paper proposes implementing a dynamic visual memory to store the information gathered from a moving camera on board a robot, followed by an attention system to choose where to look with this mobile camera, and a visual localization algorithm that incorporates this visual memory. The visual memory is a collection of relevant task-oriented objects and 3D segments, and its scope is wider than the current camera field of view. The attention module takes into account the need to reobserve objects in the visual memory and the need to explore new areas. The visual memory is useful also in localization tasks, as it provides more information about robot surroundings than the current instantaneous image. This visual system is intended as underlying technology for service robot applications in real people's homes. Several experiments have been carried out, both with simulated and real Pioneer and Nao robots, to validate the system and each of its components in office scenarios. PMID:23337333

  7. Robot evolutionary localization based on attentive visual short-term memory.

    PubMed

    Vega, Julio; Perdices, Eduardo; Cañas, José M

    2013-01-01

    Cameras are one of the most relevant sensors in autonomous robots. However, two of their challenges are to extract useful information from captured images, and to manage the small field of view of regular cameras. This paper proposes implementing a dynamic visual memory to store the information gathered from a moving camera on board a robot, followed by an attention system to choose where to look with this mobile camera, and a visual localization algorithm that incorporates this visual memory. The visual memory is a collection of relevant task-oriented objects and 3D segments, and its scope is wider than the current camera field of view. The attention module takes into account the need to reobserve objects in the visual memory and the need to explore new areas. The visual memory is useful also in localization tasks, as it provides more information about robot surroundings than the current instantaneous image. This visual system is intended as underlying technology for service robot applications in real people's homes. Several experiments have been carried out, both with simulated and real Pioneer and Nao robots, to validate the system and each of its components in office scenarios. PMID:23337333

  8. Robot evolutionary localization based on attentive visual short-term memory.

    PubMed

    Vega, Julio; Perdices, Eduardo; Cañas, José M

    2013-01-21

    Cameras are one of the most relevant sensors in autonomous robots. However, two of their challenges are to extract useful information from captured images, and to manage the small field of view of regular cameras. This paper proposes implementing a dynamic visual memory to store the information gathered from a moving camera on board a robot, followed by an attention system to choose where to look with this mobile camera, and a visual localization algorithm that incorporates this visual memory. The visual memory is a collection of relevant task-oriented objects and 3D segments, and its scope is wider than the current camera field of view. The attention module takes into account the need to reobserve objects in the visual memory and the need to explore new areas. The visual memory is useful also in localization tasks, as it provides more information about robot surroundings than the current instantaneous image. This visual system is intended as underlying technology for service robot applications in real people's homes. Several experiments have been carried out, both with simulated and real Pioneer and Nao robots, to validate the system and each of its components in office scenarios.

  9. Library Automation Design for Visually Impaired People

    ERIC Educational Resources Information Center

    Yurtay, Nilufer; Bicil, Yucel; Celebi, Sait; Cit, Guluzar; Dural, Deniz

    2011-01-01

    Speech synthesis is a technology used in many different areas in computer science. This technology can bring a solution to reading activity of visually impaired people due to its text to speech conversion. Based on this problem, in this study, a system is designed needed for a visually impaired person to make use of all the library facilities in…

  10. Visual cognition

    SciTech Connect

    Pinker, S.

    1985-01-01

    This collection of research papers on visual cognition first appeared as a special issue of Cognition: International Journal of Cognitive Science. The study of visual cognition has seen enormous progress in the past decade, bringing important advances in our understanding of shape perception, visual imagery, and mental maps. Many of these discoveries are the result of converging investigations in different areas, such as cognitive and perceptual psychology, artificial intelligence, and neuropsychology. This volume is intended to highlight a sample of work at the cutting edge of this research area for the benefit of students and researchers in a variety of disciplines. The tutorial introduction that begins the volume is designed to help the nonspecialist reader bridge the gap between the contemporary research reported here and earlier textbook introductions or literature reviews.

  11. Visualizing thought.

    PubMed

    Tversky, Barbara

    2011-07-01

    Depictive expressions of thought predate written language by thousands of years. They have evolved in communities through a kind of informal user testing that has refined them. Analyzing common visual communications reveals consistencies that illuminate how people think as well as guide design; the process can be brought into the laboratory and accelerated. Like language, visual communications abstract and schematize; unlike language, they use properties of the page (e.g., proximity and place: center, horizontal/up-down, vertical/left-right) and the marks on it (e.g., dots, lines, arrows, boxes, blobs, likenesses, symbols) to convey meanings. The visual expressions of these meanings (e.g., individual, category, order, relation, correspondence, continuum, hierarchy) have analogs in language, gesture, and especially in the patterns that are created when people design the world around them, arranging things into piles and rows and hierarchies and arrays, spatial-abstraction-action interconnections termed spractions. The designed world is a diagram.

  12. Science information systems: Visualization

    NASA Technical Reports Server (NTRS)

    Wall, Ray J.

    1991-01-01

    Future programs in earth science, planetary science, and astrophysics will involve complex instruments that produce data at unprecedented rates and volumes. Current methods for data display, exploration, and discovery are inadequate. Visualization technology offers a means for the user to comprehend, explore, and examine complex data sets. The goal of this program is to increase the effectiveness and efficiency of scientists in extracting scientific information from large volumes of instrument data.

  13. Localization Algorithms of Underwater Wireless Sensor Networks: A Survey

    PubMed Central

    Han, Guangjie; Jiang, Jinfang; Shu, Lei; Xu, Yongjun; Wang, Feng

    2012-01-01

    In Underwater Wireless Sensor Networks (UWSNs), localization is one of most important technologies since it plays a critical role in many applications. Motivated by widespread adoption of localization, in this paper, we present a comprehensive survey of localization algorithms. First, we classify localization algorithms into three categories based on sensor nodes’ mobility: stationary localization algorithms, mobile localization algorithms and hybrid localization algorithms. Moreover, we compare the localization algorithms in detail and analyze future research directions of localization algorithms in UWSNs. PMID:22438752

  14. VA²: A Visual Analytics Approach for // Evaluating Visual Analytics Applications.

    PubMed

    Blascheck, Tanja; John, Markus; Kurzhals, Kuno; Koch, Steffen; Ertl, Thomas

    2016-01-01

    Evaluation has become a fundamental part of visualization research and researchers have employed many approaches from the field of human-computer interaction like measures of task performance, thinking aloud protocols, and analysis of interaction logs. Recently, eye tracking has also become popular to analyze visual strategies of users in this context. This has added another modality and more data, which requires special visualization techniques to analyze this data. However, only few approaches exist that aim at an integrated analysis of multiple concurrent evaluation procedures. The variety, complexity, and sheer amount of such coupled multi-source data streams require a visual analytics approach. Our approach provides a highly interactive visualization environment to display and analyze thinking aloud, interaction, and eye movement data in close relation. Automatic pattern finding algorithms allow an efficient exploratory search and support the reasoning process to derive common eye-interaction-thinking patterns between participants. In addition, our tool equips researchers with mechanisms for searching and verifying expected usage patterns. We apply our approach to a user study involving a visual analytics application and we discuss insights gained from this joint analysis. We anticipate our approach to be applicable to other combinations of evaluation techniques and a broad class of visualization applications.

  15. Visual geography

    USGS Publications Warehouse

    ,; ,; ,

    1991-01-01

    Maps are, among other things, a way of making geography visual. They are world views, ways of thinking, and ways of communicating. They depict our world and guide us through it. Visual Geography probes the essence of maps and mapmaking. It follows the story of cartography through the millennia, across the globe, and beyond the solar system. It includes some of the world's most beautiful and enduring maps, some of its most historic - a map in Columbus' hand, the map that was carried to the Moon, the first map to show America - and it examines the urge to map, to measure our world, and to record it graphically.

  16. Visualization-by-Sketching: An Artist's Interface for Creating Multivariate Time-Varying Data Visualizations.

    PubMed

    Schroeder, David; Keefe, Daniel F

    2016-01-01

    We present Visualization-by-Sketching, a direct-manipulation user interface for designing new data visualizations. The goals are twofold: First, make the process of creating real, animated, data-driven visualizations of complex information more accessible to artists, graphic designers, and other visual experts with traditional, non-technical training. Second, support and enhance the role of human creativity in visualization design, enabling visual experimentation and workflows similar to what is possible with traditional artistic media. The approach is to conceive of visualization design as a combination of processes that are already closely linked with visual creativity: sketching, digital painting, image editing, and reacting to exemplars. Rather than studying and tweaking low-level algorithms and their parameters, designers create new visualizations by painting directly on top of a digital data canvas, sketching data glyphs, and arranging and blending together multiple layers of animated 2D graphics. This requires new algorithms and techniques to interpret painterly user input relative to data "under" the canvas, balance artistic freedom with the need to produce accurate data visualizations, and interactively explore large (e.g., terabyte-sized) multivariate datasets. Results demonstrate a variety of multivariate data visualization techniques can be rapidly recreated using the interface. More importantly, results and feedback from artists support the potential for interfaces in this style to attract new, creative users to the challenging task of designing more effective data visualizations and to help these users stay "in the creative zone" as they work.

  17. Visualization-by-Sketching: An Artist's Interface for Creating Multivariate Time-Varying Data Visualizations.

    PubMed

    Schroeder, David; Keefe, Daniel F

    2016-01-01

    We present Visualization-by-Sketching, a direct-manipulation user interface for designing new data visualizations. The goals are twofold: First, make the process of creating real, animated, data-driven visualizations of complex information more accessible to artists, graphic designers, and other visual experts with traditional, non-technical training. Second, support and enhance the role of human creativity in visualization design, enabling visual experimentation and workflows similar to what is possible with traditional artistic media. The approach is to conceive of visualization design as a combination of processes that are already closely linked with visual creativity: sketching, digital painting, image editing, and reacting to exemplars. Rather than studying and tweaking low-level algorithms and their parameters, designers create new visualizations by painting directly on top of a digital data canvas, sketching data glyphs, and arranging and blending together multiple layers of animated 2D graphics. This requires new algorithms and techniques to interpret painterly user input relative to data "under" the canvas, balance artistic freedom with the need to produce accurate data visualizations, and interactively explore large (e.g., terabyte-sized) multivariate datasets. Results demonstrate a variety of multivariate data visualization techniques can be rapidly recreated using the interface. More importantly, results and feedback from artists support the potential for interfaces in this style to attract new, creative users to the challenging task of designing more effective data visualizations and to help these users stay "in the creative zone" as they work. PMID:26529734

  18. Visualizing Dynamic Bitcoin Transaction Patterns.

    PubMed

    McGinn, Dan; Birch, David; Akroyd, David; Molina-Solana, Miguel; Guo, Yike; Knottenbelt, William J

    2016-06-01

    This work presents a systemic top-down visualization of Bitcoin transaction activity to explore dynamically generated patterns of algorithmic behavior. Bitcoin dominates the cryptocurrency markets and presents researchers with a rich source of real-time transactional data. The pseudonymous yet public nature of the data presents opportunities for the discovery of human and algorithmic behavioral patterns of interest to many parties such as financial regulators, protocol designers, and security analysts. However, retaining visual fidelity to the underlying data to retain a fuller understanding of activity within the network remains challenging, particularly in real time. We expose an effective force-directed graph visualization employed in our large-scale data observation facility to accelerate this data exploration and derive useful insight among domain experts and the general public alike. The high-fidelity visualizations demonstrated in this article allowed for collaborative discovery of unexpected high frequency transaction patterns, including automated laundering operations, and the evolution of multiple distinct algorithmic denial of service attacks on the Bitcoin network. PMID:27441715

  19. Visualizing Dynamic Bitcoin Transaction Patterns.

    PubMed

    McGinn, Dan; Birch, David; Akroyd, David; Molina-Solana, Miguel; Guo, Yike; Knottenbelt, William J

    2016-06-01

    This work presents a systemic top-down visualization of Bitcoin transaction activity to explore dynamically generated patterns of algorithmic behavior. Bitcoin dominates the cryptocurrency markets and presents researchers with a rich source of real-time transactional data. The pseudonymous yet public nature of the data presents opportunities for the discovery of human and algorithmic behavioral patterns of interest to many parties such as financial regulators, protocol designers, and security analysts. However, retaining visual fidelity to the underlying data to retain a fuller understanding of activity within the network remains challenging, particularly in real time. We expose an effective force-directed graph visualization employed in our large-scale data observation facility to accelerate this data exploration and derive useful insight among domain experts and the general public alike. The high-fidelity visualizations demonstrated in this article allowed for collaborative discovery of unexpected high frequency transaction patterns, including automated laundering operations, and the evolution of multiple distinct algorithmic denial of service attacks on the Bitcoin network.

  20. Visualizing Dynamic Bitcoin Transaction Patterns

    PubMed Central

    McGinn, Dan; Birch, David; Akroyd, David; Molina-Solana, Miguel; Guo, Yike; Knottenbelt, William J.

    2016-01-01

    Abstract This work presents a systemic top-down visualization of Bitcoin transaction activity to explore dynamically generated patterns of algorithmic behavior. Bitcoin dominates the cryptocurrency markets and presents researchers with a rich source of real-time transactional data. The pseudonymous yet public nature of the data presents opportunities for the discovery of human and algorithmic behavioral patterns of interest to many parties such as financial regulators, protocol designers, and security analysts. However, retaining visual fidelity to the underlying data to retain a fuller understanding of activity within the network remains challenging, particularly in real time. We expose an effective force-directed graph visualization employed in our large-scale data observation facility to accelerate this data exploration and derive useful insight among domain experts and the general public alike. The high-fidelity visualizations demonstrated in this article allowed for collaborative discovery of unexpected high frequency transaction patterns, including automated laundering operations, and the evolution of multiple distinct algorithmic denial of service attacks on the Bitcoin network. PMID:27441715

  1. Linking Visualization and Understanding in Astronomy

    NASA Astrophysics Data System (ADS)

    Goodman, Alyssa A.

    2014-01-01

    In 1610, when Galileo pointed his small telescope at Jupiter, he drew sketches to record what he saw. After just a few nights of observing, he understood his sketches to be showing moons orbiting Jupiter. It was the visualization of Galileo's observations that led to his understanding of a clearly Sun-centered solar system, and to the revolution this understanding then caused. Similar stories can be found throughout the history of Astronomy, but visualization has never been so essential as it is today, when we find ourselves blessed with a larger wealth and diversity of data, per astronomer, than ever in the past. In this talk, I will focus on how modern tools for interactive “linked-view” visualization can be used to gain insight. Linked views, which dynamically update all open graphical displays of a data set (e.g. multiple graphs, tables and/or images) in response to user selection, are particularly important in dealing with so-called “high-dimensional data.” These dimensions need not be spatial, even though, e.g. in the case of radio spectral-line cubes or optical IFU data), they often are. Instead, “dimensions” should be thought of as any measured attribute of an observation or a simulation (e.g. time, intensity, velocity, temperature, etc.). The best linked-view visualization tools allow users to explore relationships amongst all the dimensions of their data, and to weave statistical and algorithmic approaches into the visualization process in real time. Particular tools and services will be highlighted in this talk, including: Glue (glueviz.org), the ADS All Sky Survey (adsass.org), WorldWide Telescope (worldwidetelescope.org), yt (yt-project.org), d3po (d3po.org), and a host of tools that can be interconnected via the SAMP message-passing architecture. The talk will conclude with a discussion of future challenges, including the need to educate astronomers about the value of visualization and its relationship to astrostatistics, and the need for

  2. Epiviz: interactive visual analytics for functional genomics data.

    PubMed

    Chelaru, Florin; Smith, Llewellyn; Goldstein, Naomi; Bravo, Héctor Corrada

    2014-09-01

    Visualization is an integral aspect of genomics data analysis. Algorithmic-statistical analysis and interactive visualization are most effective when used iteratively. Epiviz (http://epiviz.cbcb.umd.edu/), a web-based genome browser, and the Epivizr Bioconductor package allow interactive, extensible and reproducible visualization within a state-of-the-art data-analysis platform.

  3. SciDAC Institute for Ultrascale Visualization

    SciTech Connect

    Humphreys, Grigori R.

    2008-09-30

    The Institute for Ultrascale Visualization aims to address visualization needs of SciDAC science domains, including research topics in advanced scientific visualization architectures, algorithms, and interfaces for understanding large, complex datasets. During the current project period, the focus of the team at the University of Virginia has been interactive remote rendering for scientific visualization. With high-performance computing resources enabling increasingly complex simulations, scientists may desire to interactively visualize huge 3D datasets. Traditional large-scale 3D visualization systems are often located very close to the processing clusters, and are linked to them with specialized connections for high-speed rendering. However, this tight coupling of processing and display limits possibilities for remote collaboration, and prohibits scientists from using their desktop workstations for data exploration. In this project, we are developing a client/server system for interactive remote 3D visualization on desktop computers.

  4. Introduction to Vector Field Visualization

    NASA Technical Reports Server (NTRS)

    Kao, David; Shen, Han-Wei

    2010-01-01

    Vector field visualization techniques are essential to help us understand the complex dynamics of flow fields. These can be found in a wide range of applications such as study of flows around an aircraft, the blood flow in our heart chambers, ocean circulation models, and severe weather predictions. The vector fields from these various applications can be visually depicted using a number of techniques such as particle traces and advecting textures. In this tutorial, we present several fundamental algorithms in flow visualization including particle integration, particle tracking in time-dependent flows, and seeding strategies. For flows near surfaces, a wide variety of synthetic texture-based algorithms have been developed to depict near-body flow features. The most common approach is based on the Line Integral Convolution (LIC) algorithm. There also exist extensions of LIC to support more flexible texture generations for 3D flow data. This tutorial reviews these algorithms. Tensor fields are found in several real-world applications and also require the aid of visualization to help users understand their data sets. Examples where one can find tensor fields include mechanics to see how material respond to external forces, civil engineering and geomechanics of roads and bridges, and the study of neural pathway via diffusion tensor imaging. This tutorial will provide an overview of the different tensor field visualization techniques, discuss basic tensor decompositions, and go into detail on glyph based methods, deformation based methods, and streamline based methods. Practical examples will be used when presenting the methods; and applications from some case studies will be used as part of the motivation.

  5. First Generation ASCI Production Visualization Environments

    SciTech Connect

    Heermann, P.D.

    1999-04-08

    The delivery of the first one tera-operations/sec computer has significantly impacted production data visualization, affecting data transfer, post processing, and rendering. Terascale computing has motivated a need to consider the entire data visualization system; improving a single algorithm is not sufficient. This paper presents a systems approach to decrease by a factor of four the time required to prepare large data sets for visualization.For daily production use, all stages in the processing pipeline from physics simulation code to pixels on a screen, must be balanced to yield good overall performance. Also, to complete the data path from screen to the analyst's eye, user display systems for individuals and teams are examined. Performance of the initial visualization system is compared with recent improvements. Lessons learned from the coordinated deployment of improved algorithms are also discussed, including the need for 64 bit addressing and a fully parallel data visualization pipeline.

  6. Visual Hallucinations

    PubMed Central

    Cummings, Jeffrey L.; Miller, Bruce L.

    1987-01-01

    Visual hallucinations occur in diverse clinical circumstances including ophthalmologic diseases, neurologic disorders, toxic and metabolic disorders and idiopathic psychiatric illnesses. Their content, duration and timing relate to their cause and provide useful differential diagnostic information. Hallucinations must be distinguished from delusions and confabulation. A systematic approach to differentiating among hallucinatory syndromes may improve diagnostic accuracy. ImagesFigure 2. PMID:3825109

  7. Visualizing inequality

    NASA Astrophysics Data System (ADS)

    Eliazar, Iddo

    2016-07-01

    The study of socioeconomic inequality is of substantial importance, scientific and general alike. The graphic visualization of inequality is commonly conveyed by Lorenz curves. While Lorenz curves are a highly effective statistical tool for quantifying the distribution of wealth in human societies, they are less effective a tool for the visual depiction of socioeconomic inequality. This paper introduces an alternative to Lorenz curves-the hill curves. On the one hand, the hill curves are a potent scientific tool: they provide detailed scans of the rich-poor gaps in human societies under consideration, and are capable of accommodating infinitely many degrees of freedom. On the other hand, the hill curves are a powerful infographic tool: they visualize inequality in a most vivid and tangible way, with no quantitative skills that are required in order to grasp the visualization. The application of hill curves extends far beyond socioeconomic inequality. Indeed, the hill curves are highly effective 'hyperspectral' measures of statistical variability that are applicable in the context of size distributions at large. This paper establishes the notion of hill curves, analyzes them, and describes their application in the context of general size distributions.

  8. Visualization of protein interaction networks: problems and solutions

    PubMed Central

    2013-01-01

    Background Visualization concerns the representation of data visually and is an important task in scientific research. Protein-protein interactions (PPI) are discovered using either wet lab techniques, such mass spectrometry, or in silico predictions tools, resulting in large collections of interactions stored in specialized databases. The set of all interactions of an organism forms a protein-protein interaction network (PIN) and is an important tool for studying the behaviour of the cell machinery. Since graphic representation of PINs may highlight important substructures, e.g. protein complexes, visualization is more and more used to study the underlying graph structure of PINs. Although graphs are well known data structures, there are different open problems regarding PINs visualization: the high number of nodes and connections, the heterogeneity of nodes (proteins) and edges (interactions), the possibility to annotate proteins and interactions with biological information extracted by ontologies (e.g. Gene Ontology) that enriches the PINs with semantic information, but complicates their visualization. Methods In these last years many software tools for the visualization of PINs have been developed. Initially thought for visualization only, some of them have been successively enriched with new functions for PPI data management and PIN analysis. The paper analyzes the main software tools for PINs visualization considering four main criteria: (i) technology, i.e. availability/license of the software and supported OS (Operating System) platforms; (ii) interoperability, i.e. ability to import/export networks in various formats, ability to export data in a graphic format, extensibility of the system, e.g. through plug-ins; (iii) visualization, i.e. supported layout and rendering algorithms and availability of parallel implementation; (iv) analysis, i.e. availability of network analysis functions, such as clustering or mining of the graph, and the possibility to

  9. A method for automatically abstracting visual documents

    NASA Technical Reports Server (NTRS)

    Rorvig, Mark E.

    1994-01-01

    Visual documents--motion sequences on film, videotape, and digital recording--constitute a major source of information for the Space Agency, as well as all other government and private sector entities. This article describes a method for automatically selecting key frames from visual documents. These frames may in turn be used to represent the total image sequence of visual documents in visual libraries, hypermedia systems, and training algorithm reduces 51 minutes of video sequences to 134 frames; a reduction of information in the range of 700:1.

  10. A method for automatically abstracting visual documents

    NASA Technical Reports Server (NTRS)

    Rorvig, Mark E.

    1993-01-01

    Visual documents - motion sequences on film, video-tape, and digital recordings - constitute a major source of information for the Space Agency, as well as all other government and private sector entities. This article describes a method for automatically selecting key frames from visual documents. These frames may in turn be used to represent the total image sequence of visual documents in visual libraries, hypermedia systems, and training guides. The performance of the abstracting algorithm reduces 51 minutes of video sequences to 134 frames; a reduction of information in the range of 700:1.

  11. Information Should Be Visual: New and Emerging Technologies and Their Application in the VET Sector for Students Who Are Deaf and Hard of Hearing.

    ERIC Educational Resources Information Center

    Knuckey, J.; Lawford, L.; Kay, J.

    A project explored deaf and hard-of-hearing students' current use of new and emerging learning technology in technical and further education (TAFE) institutes across Australia. Findings indicated that new learning technologies aided communication, especially when e-mail and Internet chat are used; built self-esteem through self-directed learning;…

  12. Exploring the Relationship between Access Technology and Standardized Test Scores for Youths with Visual Impairments: Secondary Analysis of the National Longitudinal Transition Study 2

    ERIC Educational Resources Information Center

    Freeland, Amy L.; Emerson, Robert Wall; Curtis, Amy B.; Fogarty, Kieran

    2010-01-01

    This article presents the findings of a secondary analysis of the National Longitudinal Transition Study 2 that explored the predictive association between training in access technology and performance on the Woodcock-Johnson Tests of Academic Achievement: III. The results indicated that the use of access technology had a limited predictive…

  13. Visualization of bioelectric phenomena.

    PubMed

    Palmer, T C; Simpson, E V; Kavanagh, K M; Smith, W M

    1992-01-01

    Biomedical investigators are currently able to acquire and analyze physiological and anatomical data from three-dimensional structures in the body. Often, multiple kinds of data can be recorded simultaneously. The usefulness of this information, either for exploratory viewing or for presentation to others, is limited by the lack of techniques to display it in intuitive, accessible formats. Unfortunately, the complexity of scientific visualization techniques and the inflexibility of commercial packages deter investigators from using sophisticated visualization methods that could provide them added insight into the mechanisms of the phenomena under study. Also, the sheer volume of such data is a problem. High-performance computing resources are often required for storage and processing, in addition to visualization. This chapter describes a novel, language-based interface that allows scientists with basic programming skills to classify and render multivariate volumetric data with a modest investment in software training. The interface facilitates data exploration by enabling experimentation with various algorithms to compute opacity and color from volumetric data. The value of the system is demonstrated using data from cardiac mapping studies, in which multiple electrodes are placed in an on the heart to measure the cardiac electrical activity intrinsic to the heart and its response to external stimulation.

  14. On detection and visualization techniques for cyber security situation awareness

    NASA Astrophysics Data System (ADS)

    Yu, Wei; Wei, Shixiao; Shen, Dan; Blowers, Misty; Blasch, Erik P.; Pham, Khanh D.; Chen, Genshe; Zhang, Hanlin; Lu, Chao

    2013-05-01

    Networking technologies are exponentially increasing to meet worldwide communication requirements. The rapid growth of network technologies and perversity of communications pose serious security issues. In this paper, we aim to developing an integrated network defense system with situation awareness capabilities to present the useful information for human analysts. In particular, we implement a prototypical system that includes both the distributed passive and active network sensors and traffic visualization features, such as 1D, 2D and 3D based network traffic displays. To effectively detect attacks, we also implement algorithms to transform real-world data of IP addresses into images and study the pattern of attacks and use both the discrete wavelet transform (DWT) based scheme and the statistical based scheme to detect attacks. Through an extensive simulation study, our data validate the effectiveness of our implemented defense system.

  15. Spatial Visualization Ability and Laparoscopic Skills in Novice Learners: Evaluating Stereoscopic versus Monoscopic Visualizations

    ERIC Educational Resources Information Center

    Roach, Victoria A.; Mistry, Manisha R.; Wilson, Timothy D.

    2014-01-01

    Elevated spatial visualization ability (Vz) is thought to influence surgical skill acquisition and performance. Current research suggests that stereo visualization technology and its association with skill performance may confer perceptual advantages. This is of particular interest in laparoscopic skill training, where stereo visualization may…

  16. Visual representation of scientific information.

    PubMed

    Wong, Bang

    2011-02-15

    Great technological advances have enabled researchers to generate an enormous amount of data. Data analysis is replacing data generation as the rate-limiting step in scientific research. With this wealth of information, we have an opportunity to understand the molecular causes of human diseases. However, the unprecedented scale, resolution, and variety of data pose new analytical challenges. Visual representation of data offers insights that can lead to new understanding, whether the purpose is analysis or communication. This presentation shows how art, design, and traditional illustration can enable scientific discovery. Examples will be drawn from the Broad Institute's Data Visualization Initiative, aimed at establishing processes for creating informative visualization models.

  17. Information visualization: Beyond traditional engineering

    NASA Technical Reports Server (NTRS)

    Thomas, James J.

    1995-01-01

    This presentation addresses a different aspect of the human-computer interface; specifically the human-information interface. This interface will be dominated by an emerging technology called Information Visualization (IV). IV goes beyond the traditional views of computer graphics, CADS, and enables new approaches for engineering. IV specifically must visualize text, documents, sound, images, and video in such a way that the human can rapidly interact with and understand the content structure of information entities. IV is the interactive visual interface between humans and their information resources.

  18. Using visualizations to teach electrostatics

    NASA Astrophysics Data System (ADS)

    Casperson, Janet M.; Linn, Marcia C.

    2006-04-01

    We investigate the effect of visualizations of electrostatics phenomena on students' ability to integrate microscopic and macroscopic views of electrostatics in the context of a technology-enhanced inquiry project that features particle interactions. We used knowledge integration instructional design patterns to determine activity sequences. A pretest/post-test design was used to assess the students' overall gains. The results from the implementation of the project in two classes demonstrate that it helped students form a more integrated understanding of electrostatics. An analysis of student responses to prompts embedded with the visualizations reveals that interactions with the visualizations played a significant role in increasing understanding.

  19. Algorithmic Animation in Education--Review of Academic Experience

    ERIC Educational Resources Information Center

    Esponda-Arguero, Margarita

    2008-01-01

    This article is a review of the pedagogical experience obtained with systems for algorithmic animation. Algorithms consist of a sequence of operations whose effect on data structures can be visualized using a computer. Students learn algorithms by stepping the animation through the different individual operations, possibly reversing their effect.…

  20. Development of a 3D WebGIS System for Retrieving and Visualizing CityGML Data Based on their Geometric and Semantic Characteristics by Using Free and Open Source Technology

    NASA Astrophysics Data System (ADS)

    Pispidikis, I.; Dimopoulou, E.

    2016-10-01

    CityGML is considered as an optimal standard for representing 3D city models. However, international experience has shown that visualization of the latter is quite difficult to be implemented on the web, due to the large size of data and the complexity of CityGML. As a result, in the context of this paper, a 3D WebGIS application is developed in order to successfully retrieve and visualize CityGML data in accordance with their respective geometric and semantic characteristics. Furthermore, the available web technologies and the architecture of WebGIS systems are investigated, as provided by international experience, in order to be utilized in the most appropriate way for the purposes of this paper. Specifically, a PostgreSQL/ PostGIS Database is used, in compliance with the 3DCityDB schema. At Server tier, Apache HTTP Server and GeoServer are utilized, while a Server Side programming language PHP is used. At Client tier, which implemented the interface of the application, the following technologies were used: JQuery, AJAX, JavaScript, HTML5, WebGL and Ol3-Cesium. Finally, it is worth mentioning that the application's primary objectives are a user-friendly interface and a fully open source development.

  1. A lightweight tangible 3D interface for interactive visualization of thin fiber structures.

    PubMed

    Jackson, Bret; Lau, Tung Yuen; Schroeder, David; Toussaint, Kimani C; Keefe, Daniel F

    2013-12-01

    We present a prop-based, tangible interface for 3D interactive visualization of thin fiber structures. These data are commonly found in current bioimaging datasets, for example second-harmonic generation microscopy of collagen fibers in tissue. Our approach uses commodity visualization technologies such as a depth sensing camera and low-cost 3D display. Unlike most current uses of these emerging technologies in the games and graphics communities, we employ the depth sensing camera to create a fish-tank stereoscopic virtual reality system at the scientist's desk that supports tracking of small-scale gestures with objects already found in the work space. We apply the new interface to the problem of interactive exploratory visualization of three-dimensional thin fiber data. A critical task for the visual analysis of these data is understanding patterns in fiber orientation throughout a volume.The interface enables a new, fluid style of data exploration and fiber orientation analysis by using props to provide needed passive-haptic feedback, making 3D interactions with these fiber structures more controlled. We also contribute a low-level algorithm for extracting fiber centerlines from volumetric imaging. The system was designed and evaluated with two biophotonic experts who currently use it in their lab. As compared to typical practice within their field, the new visualization system provides a more effective way to examine and understand the 3D bioimaging datasets they collect.

  2. An algorithm for segmenting range imagery

    SciTech Connect

    Roberts, R.S.

    1997-03-01

    This report describes the technical accomplishments of the FY96 Cross Cutting and Advanced Technology (CC&AT) project at Los Alamos National Laboratory. The project focused on developing algorithms for segmenting range images. The image segmentation algorithm developed during the project is described here. In addition to segmenting range images, the algorithm can fuse multiple range images thereby providing true 3D scene models. The algorithm has been incorporated into the Rapid World Modelling System at Sandia National Laboratory.

  3. Ultrascale visualization capabilities for the ParaView/VTK framework

    SciTech Connect

    MORELAND, KENNETH; FABIAN, NATHAN

    2009-06-09

    The software is a set of technologies developed by the SciDAC Institute for Ultrascale Visualization in order to address the visualization needs for petascale computing and beyond. These technologies include improved I/O performance, simulation co-processing, advanced rendering capabilities, and specialized visualization techniques developed for SciDAC applications.

  4. Algorithm development

    NASA Technical Reports Server (NTRS)

    Barth, Timothy J.; Lomax, Harvard

    1987-01-01

    The past decade has seen considerable activity in algorithm development for the Navier-Stokes equations. This has resulted in a wide variety of useful new techniques. Some examples for the numerical solution of the Navier-Stokes equations are presented, divided into two parts. One is devoted to the incompressible Navier-Stokes equations, and the other to the compressible form.

  5. Evaluating super resolution algorithms

    NASA Astrophysics Data System (ADS)

    Kim, Youn Jin; Park, Jong Hyun; Shin, Gun Shik; Lee, Hyun-Seung; Kim, Dong-Hyun; Park, Se Hyeok; Kim, Jaehyun

    2011-01-01

    This study intends to establish a sound testing and evaluation methodology based upon the human visual characteristics for appreciating the image restoration accuracy; in addition to comparing the subjective results with predictions by some objective evaluation methods. In total, six different super resolution (SR) algorithms - such as iterative back-projection (IBP), robust SR, maximum a posteriori (MAP), projections onto convex sets (POCS), a non-uniform interpolation, and frequency domain approach - were selected. The performance comparison between the SR algorithms in terms of their restoration accuracy was carried out through both subjectively and objectively. The former methodology relies upon the paired comparison method that involves the simultaneous scaling of two stimuli with respect to image restoration accuracy. For the latter, both conventional image quality metrics and color difference methods are implemented. Consequently, POCS and a non-uniform interpolation outperformed the others for an ideal situation, while restoration based methods appear more accurate to the HR image in a real world case where any prior information about the blur kernel is remained unknown. However, the noise-added-image could not be restored successfully by any of those methods. The latest International Commission on Illumination (CIE) standard color difference equation CIEDE2000 was found to predict the subjective results accurately and outperformed conventional methods for evaluating the restoration accuracy of those SR algorithms.

  6. Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming.

    PubMed

    Won, Joong-Ho; Jeon, Yongkweon; Rosenberg, Jarrett K; Yoon, Sungroh; Rubin, Geoffrey D; Napel, Sandy

    2013-01-01

    Direct projection of 3D branching structures, such as networks of cables, blood vessels, or neurons onto a 2D image creates the illusion of intersecting structural parts and creates challenges for understanding and communication. We present a method for visualizing such structures, and demonstrate its utility in visualizing the abdominal aorta and its branches, whose tomographic images might be obtained by computed tomography or magnetic resonance angiography, in a single 2D stylistic image, without overlaps among branches. The visualization method, termed uncluttered single-image visualization (USIV), involves optimization of geometry. This paper proposes a novel optimization technique that utilizes an interesting connection of the optimization problem regarding USIV to the protein structure prediction problem. Adopting the integer linear programming-based formulation for the protein structure prediction problem, we tested the proposed technique using 30 visualizations produced from five patient scans with representative anatomical variants in the abdominal aortic vessel tree. The novel technique can exploit commodity-level parallelism, enabling use of general-purpose graphics processing unit (GPGPU) technology that yields a significant speedup. Comparison of the results with the other optimization technique previously reported elsewhere suggests that, in most aspects, the quality of the visualization is comparable to that of the previous one, with a significant gain in the computation time of the algorithm.

  7. Managing Complexity in Multidisciplinary Visualization

    NASA Technical Reports Server (NTRS)

    Miceli, Kristina D.; Lasinski, T. A. (Technical Monitor)

    1995-01-01

    As high performance computing technology progresses, computational simulations are becoming more advanced in their capabilities. In the computational aerosciences domain, single discipline steady-state simulations computed on a single grid are far from the state-of-the-art. In their place are complex, time-dependent multidisciplinary simulations that attempt to model a given geometry more realistically. The product of these multidisciplinary simulations is a massive amount of data stored in different formats, grid topologies, units of measure, etc., as a result of the differences in the simulated physical domains. In addition to the challenges posed by setting up and performing the simulation, additional challenges exist in analyzing computational results. Visualization plays an important role in the advancement of multidisciplinary simulations. To date, visualization has been used to aid in the interpretation of large amounts of simulation data. Because the human visual system is effective in digesting a large amount of information presented graphically, visualization has helped simulation scientists to understand complex simulation results. As these simulations become even more complex, integrating several different physical domains, visualization will be critical to digest the massive amount of information. Another important role for visualization is to provide a common communication medium from which the domain scientists can use to develop, debug, and analyze their work. Multidisciplinary analyses are the next step in simulation technology, not only in computational aerosciences, but in many other areas such as global climate modeling. Visualization researchers must understand and work towards the challenges posed by multidisciplinary simulation scenarios. This paper addresses some of these challenges, describing technologies that must be investigated to create a useful visualization analysis tool for domain scientists.

  8. Processing Visual Images

    SciTech Connect

    Litke, Alan

    2006-03-27

    The back of the eye is lined by an extraordinary biological pixel detector, the retina. This neural network is able to extract vital information about the external visual world, and transmit this information in a timely manner to the brain. In this talk, Professor Litke will describe a system that has been implemented to study how the retina processes and encodes dynamic visual images. Based on techniques and expertise acquired in the development of silicon microstrip detectors for high energy physics experiments, this system can simultaneously record the extracellular electrical activity of hundreds of retinal output neurons. After presenting first results obtained with this system, Professor Litke will describe additional applications of this incredible technology.

  9. An optimized web-based approach for collaborative stereoscopic medical visualization

    PubMed Central

    Kaspar, Mathias; Parsad, Nigel M; Silverstein, Jonathan C

    2013-01-01

    Objective Medical visualization tools have traditionally been constrained to tethered imaging workstations or proprietary client viewers, typically part of hospital radiology systems. To improve accessibility to real-time, remote, interactive, stereoscopic visualization and to enable collaboration among multiple viewing locations, we developed an open source approach requiring only a standard web browser with no added client-side software. Materials and Methods Our collaborative, web-based, stereoscopic, visualization system, CoWebViz, has been used successfully for the past 2 years at the University of Chicago to teach immersive virtual anatomy classes. It is a server application that streams server-side visualization applications to client front-ends, comprised solely of a standard web browser with no added software. Results We describe optimization considerations, usability, and performance results, which make CoWebViz practical for broad clinical use. We clarify technical advances including: enhanced threaded architecture, optimized visualization distribution algorithms, a wide range of supported stereoscopic presentation technologies, and the salient theoretical and empirical network parameters that affect our web-based visualization approach. Discussion The implementations demonstrate usability and performance benefits of a simple web-based approach for complex clinical visualization scenarios. Using this approach overcomes technical challenges that require third-party web browser plug-ins, resulting in the most lightweight client. Conclusions Compared to special software and hardware deployments, unmodified web browsers enhance remote user accessibility to interactive medical visualization. Whereas local hardware and software deployments may provide better interactivity than remote applications, our implementation demonstrates that a simplified, stable, client approach using standard web browsers is sufficient for high quality three

  10. A new approach to visual system testing

    NASA Astrophysics Data System (ADS)

    Drozd, Maciej; Nowakowski, Antoni

    2005-09-01

    The experimental system was constructed for development and evaluation of visual brain potentials detection algorithm. Our experimental system consists of the developed, spherical, LED based perimeter head, a portable EEG recorder and a PC as a multitask unit. The computer enables full control of perimeter stimulation as well as acquisition and analysis of recorded EEG signals, using for visual response detection the newly developed VEPDA algorithm. Application of the VEPDA algorithm, based on Independent Component Analysis, allows much faster detection of visual evoked potentials comparing to traditional trial averaging routines. Main outcomes of this new approach are high reliability, considerable shortening of the examination time as well as possibility of objective examination - even patients not able to respond consciously, as very young children or elderly and intellectually handicapped patients.

  11. Visual bioethics.

    PubMed

    Lauritzen, Paul

    2008-12-01

    Although images are pervasive in public policy debates in bioethics, few who work in the field attend carefully to the way that images function rhetorically. If the use of images is discussed at all, it is usually to dismiss appeals to images as a form of manipulation. Yet it is possible to speak meaningfully of visual arguments. Examining the appeal to images of the embryo and fetus in debates about abortion and stem cell research, I suggest that bioethicists would be well served by attending much more carefully to how images function in public policy debates. PMID:19085479

  12. Real-time tracking using stereo and motion: Visual perception for space robotics

    NASA Technical Reports Server (NTRS)

    Nishihara, H. Keith; Thomas, Hans; Huber, Eric; Reid, C. Ann

    1994-01-01

    The state-of-the-art in computing technology is rapidly attaining the performance necessary to implement many early vision algorithms at real-time rates. This new capability is helping to accelerate progress in vision research by improving our ability to evaluate the performance of algorithms in dynamic environments. In particular, we are becoming much more aware of the relative stability of various visual measurements in the presence of camera motion and system noise. This new processing speed is also allowing us to raise our sights toward accomplishing much higher-level processing tasks, such as figure-ground separation and active object tracking, in real-time. This paper describes a methodology for using early visual measurements to accomplish higher-level tasks; it then presents an overview of the high-speed accelerators developed at Teleos to support early visual measurements. The final section describes the successful deployment of a real-time vision system to provide visual perception for the Extravehicular Activity Helper/Retriever robotic system in tests aboard NASA's KC135 reduced gravity aircraft.

  13. Distributed Visualization Project

    NASA Technical Reports Server (NTRS)

    Craig, Douglas; Conroy, Michael; Kickbusch, Tracey; Mazone, Rebecca

    2016-01-01

    Distributed Visualization allows anyone, anywhere to see any simulation at any time. Development focuses on algorithms, software, data formats, data systems and processes to enable sharing simulation-based information across temporal and spatial boundaries without requiring stakeholders to possess highly-specialized and very expensive display systems. It also introduces abstraction between the native and shared data, which allows teams to share results without giving away proprietary or sensitive data. The initial implementation of this capability is the Distributed Observer Network (DON) version 3.1. DON 3.1 is available for public release in the NASA Software Store (https://software.nasa.gov/software/KSC-13775) and works with version 3.0 of the Model Process Control specification (an XML Simulation Data Representation and Communication Language) to display complex graphical information and associated Meta-Data.

  14. A Learner-Centered Approach for Training Science Teachers through Virtual Reality and 3D Visualization Technologies: Practical Experience for Sharing

    ERIC Educational Resources Information Center

    Yeung, Yau-Yuen

    2004-01-01

    This paper presentation will report on how some science educators at the Science Department of The Hong Kong Institute of Education have successfully employed an array of innovative learning media such as three-dimensional (3D) and virtual reality (VR) technologies to create seven sets of resource kits, most of which are being placed on the…

  15. Adult Learning Strategies and Approaches (ALSA). Resources for Teachers of Adults. A Handbook of Practical Advice on Audio-Visual Aids and Educational Technology for Tutors and Organisers.

    ERIC Educational Resources Information Center

    Cummins, John; And Others

    This handbook is part of a British series of publications written for part-time tutors, volunteers, organizers, and trainers in the adult continuing education and training sectors. It offers practical advice on audiovisual aids and educational technology for tutors and organizers. The first chapter discusses how one learns. Chapter 2 addresses how…

  16. How information visualization novices construct visualizations.

    PubMed

    Grammel, Lars; Tory, Melanie; Storey, Margaret-Anne

    2010-01-01

    It remains challenging for information visualization novices to rapidly construct visualizations during exploratory data analysis. We conducted an exploratory laboratory study in which information visualization novices explored fictitious sales data by communicating visualization specifications to a human mediator, who rapidly constructed the visualizations using commercial visualization software. We found that three activities were central to the iterative visualization construction process: data attribute selection, visual template selection, and visual mapping specification. The major barriers faced by the participants were translating questions into data attributes, designing visual mappings, and interpreting the visualizations. Partial specification was common, and the participants used simple heuristics and preferred visualizations they were already familiar with, such as bar, line and pie charts. We derived abstract models from our observations that describe barriers in the data exploration process and uncovered how information visualization novices think about visualization specifications. Our findings support the need for tools that suggest potential visualizations and support iterative refinement, that provide explanations and help with learning, and that are tightly integrated into tool support for the overall visual analytics process.

  17. Visualizing Classroom Instruction: Creating Visual Images for Preservice Teacher Education.

    ERIC Educational Resources Information Center

    Thompson, Thomas E.; Wiegmann, Beth A.

    A project on videodisc technology sponsored by the Illinois State Board of Education has captured classroom teachers teaching in their own classrooms to their own students. By digitizing this video instruction onto videodiscs preservice teachers and instructors have a visual learning tool that provides instant access to a variety of pedagogical…

  18. A reference guide for tree analysis and visualization

    PubMed Central

    2010-01-01

    The quantities of data obtained by the new high-throughput technologies, such as microarrays or ChIP-Chip arrays, and the large-scale OMICS-approaches, such as genomics, proteomics and transcriptomics, are becoming vast. Sequencing technologies become cheaper and easier to use and, thus, large-scale evolutionary studies towards the origins of life for all species and their evolution becomes more and more challenging. Databases holding information about how data are related and how they are hierarchically organized expand rapidly. Clustering analysis is becoming more and more difficult to be applied on very large amounts of data since the results of these algorithms cannot be efficiently visualized. Most of the available visualization tools that are able to represent such hierarchies, project data in 2D and are lacking often the necessary user friendliness and interactivity. For example, the current phylogenetic tree visualization tools are not able to display easy to understand large scale trees with more than a few thousand nodes. In this study, we review tools that are currently available for the visualization of biological trees and analysis, mainly developed during the last decade. We describe the uniform and standard computer readable formats to represent tree hierarchies and we comment on the functionality and the limitations of these tools. We also discuss on how these tools can be developed further and should become integrated with various data sources. Here we focus on freely available software that offers to the users various tree-representation methodologies for biological data analysis. PMID:20175922

  19. Visualization and computer graphics on isotropically emissive volumetric displays.

    PubMed

    Mora, Benjamin; Maciejewski, Ross; Chen, Min; Ebert, David S

    2009-01-01

    The availability of commodity volumetric displays provides ordinary users with a new means of visualizing 3D data. Many of these displays are in the class of isotropically emissive light devices, which are designed to directly illuminate voxels in a 3D frame buffer, producing X-ray-like visualizations. While this technology can offer intuitive insight into a 3D object, the visualizations are perceptually different from what a computer graphics or visualization system would render on a 2D screen. This paper formalizes rendering on isotropically emissive displays and introduces a novel technique that emulates traditional rendering effects on isotropically emissive volumetric displays, delivering results that are much closer to what is traditionally rendered on regular 2D screens. Such a technique can significantly broaden the capability and usage of isotropically emissive volumetric displays. Our method takes a 3D dataset or object as the input, creates an intermediate light field, and outputs a special 3D volume dataset called a lumi-volume. This lumi-volume encodes approximated rendering effects in a form suitable for display with accumulative integrals along unobtrusive rays. When a lumi-volume is fed directly into an isotropically emissive volumetric display, it creates a 3D visualization with surface shading effects that are familiar to the users. The key to this technique is an algorithm for creating a 3D lumi-volume from a 4D light field. In this paper, we discuss a number of technical issues, including transparency effects due to the dimension reduction and sampling rates for light fields and lumi-volumes. We show the effectiveness and usability of this technique with a selection of experimental results captured from an isotropically emissive volumetric display, and we demonstrate its potential capability and scalability with computer-simulated high-resolution results.

  20. High Performance Visualization using Query-Driven Visualizationand Analytics

    SciTech Connect

    Bethel, E. Wes; Campbell, Scott; Dart, Eli; Shalf, John; Stockinger, Kurt; Wu, Kesheng

    2006-06-15

    Query-driven visualization and analytics is a unique approach for high-performance visualization that offers new capabilities for knowledge discovery and hypothesis testing. The new capabilities akin to finding needles in haystacks are the result of combining technologies from the fields of scientific visualization and scientific data management. This approach is crucial for rapid data analysis and visualization in the petascale regime. This article describes how query-driven visualization is applied to a hero-sized network traffic analysis problem.

  1. Visualizers, Visualizations, and Visualizees: Differences in Meaning-Making by Scientific Experts and Novices from Global Visualizations of Ocean Data

    ERIC Educational Resources Information Center

    Stofer, Kathryn A.

    2013-01-01

    Data visualizations designed for academic scientists are not immediately meaningful to everyday scientists. Communicating between a specialized, expert audience and a general, novice public is non-trivial; it requires careful translation. However, more widely available visualization technologies and platforms, including new three-dimensional…

  2. Interactive Terascale Particle Visualization

    NASA Technical Reports Server (NTRS)

    Ellsworth, David; Green, Bryan; Moran, Patrick

    2004-01-01

    This paper describes the methods used to produce an interactive visualization of a 2 TB computational fluid dynamics (CFD) data set using particle tracing (streaklines). We use the method introduced by Bruckschen et al. [2001] that pre-computes a large number of particles, stores them on disk using a space-filling curve ordering that minimizes seeks, and then retrieves and displays the particles according to the user's command. We describe how the particle computation can be performed using a PC cluster, how the algorithm can be adapted to work with a multi-block curvilinear mesh, and how the out-of-core visualization can be scaled to 296 billion particles while still achieving interactive performance on PG hardware. Compared to the earlier work, our data set size and total number of particles are an order of magnitude larger. We also describe a new compression technique that allows the lossless compression of the particles by 41% and speeds the particle retrieval by about 30%.

  3. Objectifying “Pain” in the Modern Neurosciences: A Historical Account of the Visualization Technologies Used in the Development of an “Algesiogenic Pathology”, 1850 to 2000

    PubMed Central

    Stahnisch, Frank W.

    2015-01-01

    Particularly with the fundamental works of the Leipzig school of experimental psychophysiology (between the 1850s and 1880s), the modern neurosciences witnessed an increasing interest in attempts to objectify “pain” as a bodily signal and physiological value. This development has led to refined psychological test repertoires and new clinical measurement techniques, which became progressively paired with imaging approaches and sophisticated theories about neuropathological pain etiology. With the advent of electroencephalography since the middle of the 20th century, and through the use of brain stimulation technologies and modern neuroimaging, the chosen scientific route towards an ever more refined “objectification” of pain phenomena took firm root in Western medicine. This article provides a broad overview of landmark events and key imaging technologies, which represent the long developmental path of a field that could be called “algesiogenic pathology.” PMID:26593953

  4. Linear Bregman algorithm implemented in parallel GPU

    NASA Astrophysics Data System (ADS)

    Li, Pengyan; Ke, Jue; Sui, Dong; Wei, Ping

    2015-08-01

    At present, most compressed sensing (CS) algorithms have poor converging speed, thus are difficult to run on PC. To deal with this issue, we use a parallel GPU, to implement a broadly used compressed sensing algorithm, the Linear Bregman algorithm. Linear iterative Bregman algorithm is a reconstruction algorithm proposed by Osher and Cai. Compared with other CS reconstruction algorithms, the linear Bregman algorithm only involves the vector and matrix multiplication and thresholding operation, and is simpler and more efficient for programming. We use C as a development language and adopt CUDA (Compute Unified Device Architecture) as parallel computing architectures. In this paper, we compared the parallel Bregman algorithm with traditional CPU realized Bregaman algorithm. In addition, we also compared the parallel Bregman algorithm with other CS reconstruction algorithms, such as OMP and TwIST algorithms. Compared with these two algorithms, the result of this paper shows that, the parallel Bregman algorithm needs shorter time, and thus is more convenient for real-time object reconstruction, which is important to people's fast growing demand to information technology.

  5. Visualization rhetoric: framing effects in narrative visualization.

    PubMed

    Hullman, Jessica; Diakopoulos, Nicholas

    2011-12-01

    Narrative visualizations combine conventions of communicative and exploratory information visualization to convey an intended story. We demonstrate visualization rhetoric as an analytical framework for understanding how design techniques that prioritize particular interpretations in visualizations that "tell a story" can significantly affect end-user interpretation. We draw a parallel between narrative visualization interpretation and evidence from framing studies in political messaging, decision-making, and literary studies. Devices for understanding the rhetorical nature of narrative information visualizations are presented, informed by the rigorous application of concepts from critical theory, semiotics, journalism, and political theory. We draw attention to how design tactics represent additions or omissions of information at various levels-the data, visual representation, textual annotations, and interactivity-and how visualizations denote and connote phenomena with reference to unstated viewing conventions and codes. Classes of rhetorical techniques identified via a systematic analysis of recent narrative visualizations are presented, and characterized according to their rhetorical contribution to the visualization. We describe how designers and researchers can benefit from the potentially positive aspects of visualization rhetoric in designing engaging, layered narrative visualizations and how our framework can shed light on how a visualization design prioritizes specific interpretations. We identify areas where future inquiry into visualization rhetoric can improve understanding of visualization interpretation.

  6. Visual Literacy: An Institutional Imperative

    ERIC Educational Resources Information Center

    Metros, Susan E.; Woolsey, Kristina

    2006-01-01

    Academics have a long history of claiming and defending the superiority of verbal over visual for representing knowledge. By dismissing imagery as mere decoration, they have upheld the sanctity of print for academic discourse. However, in the last decade, digital technologies have broken down the barriers between words and pictures, and many of…

  7. Visual Productions and Student Learning.

    ERIC Educational Resources Information Center

    Bazeli, Marilyn

    When students become actively involved in technology productions they develop learning skills, communication skills, and visual analysis skills, all of which are applied to real-life learning within the classroom curriculum. Students participate in all stages of the production projects, which proves to be motivating for the students and allows the…

  8. Visual Computing Environment

    NASA Technical Reports Server (NTRS)

    Lawrence, Charles; Putt, Charles W.

    1997-01-01

    The Visual Computing Environment (VCE) is a NASA Lewis Research Center project to develop a framework for intercomponent and multidisciplinary computational simulations. Many current engineering analysis codes simulate various aspects of aircraft engine operation. For example, existing computational fluid dynamics (CFD) codes can model the airflow through individual engine components such as the inlet, compressor, combustor, turbine, or nozzle. Currently, these codes are run in isolation, making intercomponent and complete system simulations very difficult to perform. In addition, management and utilization of these engineering codes for coupled component simulations is a complex, laborious task, requiring substantial experience and effort. To facilitate multicomponent aircraft engine analysis, the CFD Research Corporation (CFDRC) is developing the VCE system. This system, which is part of NASA's Numerical Propulsion Simulation System (NPSS) program, can couple various engineering disciplines, such as CFD, structural analysis, and thermal analysis. The objectives of VCE are to (1) develop a visual computing environment for controlling the execution of individual simulation codes that are running in parallel and are distributed on heterogeneous host machines in a networked environment, (2) develop numerical coupling algorithms for interchanging boundary conditions between codes with arbitrary grid matching and different levels of dimensionality, (3) provide a graphical interface for simulation setup and control, and (4) provide tools for online visualization and plotting. VCE was designed to provide a distributed, object-oriented environment. Mechanisms are provided for creating and manipulating objects, such as grids, boundary conditions, and solution data. This environment includes parallel virtual machine (PVM) for distributed processing. Users can interactively select and couple any set of codes that have been modified to run in a parallel distributed fashion on

  9. Mars Museum Visualization Alliance

    NASA Astrophysics Data System (ADS)

    Sohus, A. M.; Viotti, M. A.; de Jong, E. M.

    2004-11-01

    The Mars Museum Visualization Alliance is a collaborative effort funded by the Mars Public Engagement Office and supported by JPL's Informal Education staff and the Solar System Visualization Project to share the adventure of exploration and make Mars a real place. The effort started in 2002 with a small working group of museum professionals to learn how best to serve museum audiences through informal science educators. By the time the Mars Exploration Rovers landed on Mars in January 2004, over 100 organizations were partners in the Alliance, which has become a focused community of Mars educators. The Alliance provides guaranteed access to images, information, news, and resources for use by the informal science educators with their students, educators, and public audiences. Thousands of people have shared the adventure of exploring Mars and now see it as a real place through the efforts of the Mars Museum Visualization Alliance partners. The Alliance has been lauded for "providing just the right inside track for museums to do what they do best," be that webcasts, live presentations with the latest images and information, high-definition productions, planetarium shows, or hands-on educational activities. The Alliance is extending its mission component with Cassini, Genesis, Deep Impact, and Stardust. The Mars Exploration and Cassini Programs, as well as the Genesis, Deep Impact, and Stardust Projects, are managed for NASA by the Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California.

  10. Dynamic Visualization of Co-expression in Systems Genetics Data

    SciTech Connect

    New, Joshua Ryan; Huang, Jian; Chesler, Elissa J

    2008-01-01

    Biologists hope to address grand scientific challenges by exploring the abundance of data made available through modern microarray technology and other high-throughput techniques. The impact of this data, however, is limited unless researchers can effectively assimilate such complex information and integrate it into their daily research; interactive visualization tools are called for to support the effort. Specifically, typical studies of gene co-expression require novel visualization tools that enable the dynamic formulation and fine-tuning of hypotheses to aid the process of evaluating sensitivity of key parameters. These tools should allow biologists to develop an intuitive understanding of the structure of biological networks and discover genes which reside in critical positions in networks and pathways. By using a graph as a universal data representation of correlation in gene expression data, our novel visualization tool employs several techniques that when used in an integrated manner provide innovative analytical capabilities. Our tool for interacting with gene co-expression data integrates techniques such as: graph layout, qualitative subgraph extraction through a novel 2D user interface, quantitative subgraph extraction using graph-theoretic algorithms or by querying an optimized b-tree, dynamic level-of-detail graph abstraction, and template-based fuzzy classification using neural networks. We demonstrate our system using a real-world workflow from a large-scale, systems genetics study of mammalian gene co-expression.

  11. Visualization of Scalar Adaptive Mesh Refinement Data

    SciTech Connect

    VACET; Weber, Gunther; Weber, Gunther H.; Beckner, Vince E.; Childs, Hank; Ligocki, Terry J.; Miller, Mark C.; Van Straalen, Brian; Bethel, E. Wes

    2007-12-06

    Adaptive Mesh Refinement (AMR) is a highly effective computation method for simulations that span a large range of spatiotemporal scales, such as astrophysical simulations, which must accommodate ranges from interstellar to sub-planetary. Most mainstream visualization tools still lack support for AMR grids as a first class data type and AMR code teams use custom built applications for AMR visualization. The Department of Energy's (DOE's) Science Discovery through Advanced Computing (SciDAC) Visualization and Analytics Center for Enabling Technologies (VACET) is currently working on extending VisIt, which is an open source visualization tool that accommodates AMR as a first-class data type. These efforts will bridge the gap between general-purpose visualization applications and highly specialized AMR visual analysis applications. Here, we give an overview of the state of the art in AMR scalar data visualization research.

  12. Visualization Tools for Adaptive Mesh Refinement Data

    SciTech Connect

    Weber, Gunther H.; Beckner, Vincent E.; Childs, Hank; Ligocki,Terry J.; Miller, Mark C.; Van Straalen, Brian; Bethel, E. Wes

    2007-05-09

    Adaptive Mesh Refinement (AMR) is a highly effective method for simulations that span a large range of spatiotemporal scales, such as astrophysical simulations that must accommodate ranges from interstellar to sub-planetary. Most mainstream visualization tools still lack support for AMR as a first class data type and AMR code teams use custom built applications for AMR visualization. The Department of Energy's (DOE's) Science Discovery through Advanced Computing (SciDAC) Visualization and Analytics Center for Enabling Technologies (VACET) is currently working on extending VisIt, which is an open source visualization tool that accommodates AMR as a first-class data type. These efforts will bridge the gap between general-purpose visualization applications and highly specialized AMR visual analysis applications. Here, we give an overview of the state of the art in AMR visualization research and tools and describe how VisIt currently handles AMR data.

  13. Interfaces Visualize Data for Airline Safety, Efficiency

    NASA Technical Reports Server (NTRS)

    2014-01-01

    As the A-Train Constellation orbits Earth to gather data, NASA scientists and partners visualize, analyze, and communicate the information. To this end, Langley Research Center awarded SBIR funding to Fairfax, Virginia-based WxAnalyst Ltd. to refine the company's existing user interface for Google Earth to visualize data. Hawaiian Airlines is now using the technology to help manage its flights.

  14. About Face: Visual Research Involving Children

    ERIC Educational Resources Information Center

    Lodge, Caroline

    2009-01-01

    Some crucial issues in visual research involving children in schools are examined: the contradictions between the current widespread practice of visual recordings in public and private spheres and the cautious approach adopted in educational research; the dominance of adults and text in school research despite technology providing accessible ways…

  15. Resources for Visually Impaired or Blind Students.

    ERIC Educational Resources Information Center

    Hart, Elizabeth

    2000-01-01

    Suggests resources for school librarians who need materials for visually impaired or blind students. Highlights include the National Library Service for the Blind and Physically Handicapped; Louis Database of Accessible Materials for People Who Are Blind or Visually Impaired; Braille books; large print books, audio books; assistive technology; and…

  16. Visual search engine for product images

    NASA Astrophysics Data System (ADS)

    Lin, Xiaofan; Gokturk, Burak; Sumengen, Baris; Vu, Diem

    2008-01-01

    Nowadays there are many product comparison web sites. But most of them only use text information. This paper introduces a novel visual search engine for product images, which provides a brand-new way of visually locating products through Content-based Image Retrieval (CBIR) technology. We discusses the unique technical challenges, solutions, and experimental results in the design and implementation of this system.

  17. Designing Effective Visualizations for Elementary School Science

    ERIC Educational Resources Information Center

    Kali, Yael; Linn, Marcia C.

    2008-01-01

    Research has shown that technology-enhanced visualizations can improve inquiry learning in science when they are designed to support knowledge integration. Visualizations play an especially important role in supporting science learning at elementary and middle school levels because they can make unseen and complex processes visible. We identify 4…

  18. Introduction and Overview: Visualization, Retrieval, and Knowledge.

    ERIC Educational Resources Information Center

    Rorvig, Mark; Lunin, Lois F.

    1999-01-01

    Describes this perspectives issue that was designed to provide an historical background to visualization in information retrieval. Topics include knowledge, digital technology, the first visual interface to a collection at NASA (National Aeronautics and Space Administration), theoretical foundations, and applications. (LRW)

  19. Artists, Art Historians, and Visual Art Information.

    ERIC Educational Resources Information Center

    Layne, Sara Shatford

    1994-01-01

    Discusses the information-seeking and information-using behavior of artists, particularly in the applied arts, and art historians. Topics include visual information; technological and intellectual aspects of access to visual information; physical characteristics of art works; cataloging and indexing tools; access to images; and the role of…

  20. Benchmarking monthly homogenization algorithms

    NASA Astrophysics Data System (ADS)

    Venema, V. K. C.; Mestre, O.; Aguilar, E.; Auer, I.; Guijarro, J. A.; Domonkos, P.; Vertacnik, G.; Szentimrey, T.; Stepanek, P.; Zahradnicek, P.; Viarre, J.; Müller-Westermeier, G.; Lakatos, M.; Williams, C. N.; Menne, M.; Lindau, R.; Rasol, D.; Rustemeier, E.; Kolokythas, K.; Marinova, T.; Andresen, L.; Acquaotta, F.; Fratianni, S.; Cheval, S.; Klancar, M.; Brunetti, M.; Gruber, C.; Prohom Duran, M.; Likso, T.; Esteban, P.; Brandsma, T.

    2011-08-01

    The COST (European Cooperation in Science and Technology) Action ES0601: Advances in homogenization methods of climate series: an integrated approach (HOME) has executed a blind intercomparison and validation study for monthly homogenization algorithms. Time series of monthly temperature and precipitation were evaluated because of their importance for climate studies and because they represent two important types of statistics (additive and multiplicative). The algorithms were validated against a realistic benchmark dataset. The benchmark contains real inhomogeneous data as well as simulated data with inserted inhomogeneities. Random break-type inhomogeneities were added to the simulated datasets modeled as a Poisson process with normally distributed breakpoint sizes. To approximate real world conditions, breaks were introduced that occur simultaneously in multiple station series within a simulated network of station data. The simulated time series also contained outliers, missing data periods and local station trends. Further, a stochastic nonlinear global (network-wide) trend was added. Participants provided 25 separate homogenized contributions as part of the blind study as well as 22 additional solutions submitted after the details of the imposed inhomogeneities were revealed. These homogenized datasets were assessed by a number of performance metrics including (i) the centered root mean square error relative to the true homogeneous value at various averaging scales, (ii) the error in linear trend estimates and (iii) traditional contingency skill scores. The metrics were computed both using the individual station series as well as the network average regional series. The performance of the contributions depends significantly on the error metric considered. Contingency scores by themselves are not very informative. Although relative homogenization algorithms typically improve the homogeneity of temperature data, only the best ones improve precipitation data

  1. Parallelized dilate algorithm for remote sensing image.

    PubMed

    Zhang, Suli; Hu, Haoran; Pan, Xin

    2014-01-01

    As an important algorithm, dilate algorithm can give us more connective view of a remote sensing image which has broken lines or objects. However, with the technological progress of satellite sensor, the resolution of remote sensing image has been increasing and its data quantities become very large. This would lead to the decrease of algorithm running speed or cannot obtain a result in limited memory or time. To solve this problem, our research proposed a parallelized dilate algorithm for remote sensing Image based on MPI and MP. Experiments show that our method runs faster than traditional single-process algorithm.

  2. The modeling of miniature UAV flight visualization simulation platform

    NASA Astrophysics Data System (ADS)

    Li, Dong-hui; Li, Xin; Yang, Le-le; Li, Xiong

    2015-12-01

    This paper combines virtual technology with visualization visual simulation theory, construct the framework of visual simulation platform, apply open source software FlightGear simulator combined with GoogleEarth design a small UAV flight visual simulation platform. Using software AC3D to build 3D models of aircraft and complete the model loading based on XML configuration, the design and simulation of visualization modeling visual platform is presented. By using model-driven and data transforming in FlightGear , the design of data transmission module is realized based on Visual Studio 2010 development platform. Finally combined with GoogleEarth it can achieve the tracking and display.

  3. Accessing and visualizing scientific spatiotemporal data

    NASA Technical Reports Server (NTRS)

    Katz, Daniel S.; Bergou, Attila; Berriman, G. Bruce; Block, Gary L.; Collier, Jim; Curkendall, David W.; Good, John; Husman, Laura; Jacob, Joseph C.; Laity, Anastasia; Li, P. Peggy; Miller, Craig; Prince, Tom; Siegel, Herb; Williams, Roy

    2004-01-01

    This paper discusses work done by JPL's Parallel Applications Technologies Group in helping scientists access and visualize very large data sets through the use of multiple computing resources, such as parallel supercomputers, clusters, and grids.

  4. Global Radiological Source Sorting, Tracking, and Monitoring (Gradsstram) Using Emergin RFID and Web 2.0 Technologies to Provide Total Asset and Information Visualization, Paper at 2009 INMM

    SciTech Connect

    Walker, Randy M.; Kopsick, Deborah A.; Gorman, Bryan L.; Ganguly, Auroop R.; Ferren, Mitch; Shankar, Mallikarjun

    2009-01-01

    Background Thousands of shipments of radioisotopes developed in the United States (U.S.) are transported domestically and internationally for medical and industrial applications, including to partner laboratories in European Union (EU) countries. Over the past five years, the Environmental Protection Agency (EPA), the Department of Energy (DOE), and Oak Ridge National Laboratory (ORNL)1 have worked with state first responder personnel, key private sector supply chain stakeholders, the Department of Homeland Security (DHS), the Department of Transportation (DOT), the Department of Defense (DoD) and the Nuclear Regulatory Commission (NRC) on Radio Frequency Identification (RFID) tracking and monitoring of medical, research and industrial radioisotopes in commerce. ORNL was the pioneer of the international radioisotope shipping and production business. Most radioisotopes made and used today were either made or discovered at ORNL. While most of the radioisotopes used in the commercial sector are now produced and sold by the private market, ORNL still leads the world in the production of exotic, high-value and/or sensitive industrial, medical and research isotopes. The ORNL-EPA-DOE Radiological Source Tracking and Monitoring (RadSTraM) project tested, evaluated, and integrated RFID technologies in laboratory settings and at multiple private-sector shipping and distribution facilities (Perkin Elmer and DHL) to track and monitor common radioisotopes used in everyday commerce. The RFID tracking capability was also tested in association with other deployed technologies including radiation detection, chemical/explosives detection, advanced imaging, lasers, and infrared scanning. At the 2007 EU-U.S. Summit, the leaders of the US Department of Commerce (DOC) and EU European Commission (EC) committed to pursue jointly directed Lighthouse Priority Projects. These projects are intended to foster cooperation and reduce regulatory burdens with respect to transatlantic commerce. The

  5. Visualization and Data Analysis at the Exascale

    SciTech Connect

    Ahrens, James P.

    2011-01-01

    The scope of our working group is scientific visualization and data analysis. Scientific visualization refers to the process of transforming scientific simulation and experimental data into images to facilitate visual understanding. Data analysis refers to the process of transforming data into an information-rich form via mathematical or computational algorithms to promote better understanding. We share scope on data management with the Storage group. Data management refers to the process of tracking, organizing and enhancing the use of scientific data. The purpose of our work is to enable scientific discovery and understanding. Visualization and data analysis has a broad scope as an integral part of scientific simulations and experiments, it is also a distinct separate service for scientific discovery and documentation purposes. Our scope includes an exascale software and hardware infrastructure that effectively supports visualization and data analysis.

  6. Recent Advances in VisIt: AMR Streamlines and Query-Driven Visualization

    SciTech Connect

    Weber, Gunther; Ahern, Sean; Bethel, Wes; Borovikov, Sergey; Childs, Hank; Deines, Eduard; Garth, Christoph; Hagen, Hans; Hamann, Bernd; Joy, Kenneth; Martin, David; Meredith, Jeremy; Prabhat,; Pugmire, David; Rubel, Oliver; Van Straalen, Brian; Wu, Kesheng

    2009-11-12

    Adaptive Mesh Refinement (AMR) is a highly effective method for simulations spanning a large range of spatiotemporal scales such as those encountered in astrophysical simulations. Combining research in novel AMR visualization algorithms and basic infrastructure work, the Department of Energy's (DOEs) Science Discovery through Advanced Computing (SciDAC) Visualization and Analytics Center for Enabling Technologies (VACET) has extended VisIt, an open source visualization tool that can handle AMR data without converting it to alternate representations. This paper focuses on two recent advances in the development of VisIt. First, we have developed streamline computation methods that properly handle multi-domain data sets and utilize effectively multiple processors on parallel machines. Furthermore, we are working on streamline calculation methods that consider an AMR hierarchy and detect transitions from a lower resolution patch into a finer patch and improve interpolation at level boundaries. Second, we focus on visualization of large-scale particle data sets. By integrating the DOE Scientific Data Management (SDM) Center's FastBit indexing technology into VisIt, we are able to reduce particle counts effectively by thresholding and by loading only those particles from disk that satisfy the thresholding criteria. Furthermore, using FastBit it becomes possible to compute parallel coordinate views efficiently, thus facilitating interactive data exploration of massive particle data sets.

  7. Automated polysomnogram artifact compensation using the generalized singular value decomposition algorithm.

    PubMed

    Fairley, Jacqueline; Johnson, Ashley N; Georgoulas, George; Vachtsevanos, George

    2010-01-01

    Manual/visual polysomnogram (psg) analysis is a standard and commonly implemented procedure utilized in the diagnosis and treatment of sleep related human pathologies. Current technological trends in psg analysis focus upon translating manual psg analysis into automated/computerized approaches. A necessary first step in establishing efficient automated human sleep analysis systems is the development of reliable pre-processing tools to discriminate between outlier/artifact instances and data of interest. This paper investigates the application of an automated approach, using the generalized singular value decomposition algorithm, to compensate for specific psg artifacts.

  8. Parallel algorithm development

    SciTech Connect

    Adams, T.F.

    1996-06-01

    Rapid changes in parallel computing technology are causing significant changes in the strategies being used for parallel algorithm development. One approach is simply to write computer code in a standard language like FORTRAN 77 or with the expectation that the compiler will produce executable code that will run in parallel. The alternatives are: (1) to build explicit message passing directly into the source code; or (2) to write source code without explicit reference to message passing or parallelism, but use a general communications library to provide efficient parallel execution. Application of these strategies is illustrated with examples of codes currently under development.

  9. Why Teach Visual Culture?

    ERIC Educational Resources Information Center

    Passmore, Kaye

    2007-01-01

    Visual culture is a hot topic in art education right now as some teachers are dedicated to teaching it and others are adamant that it has no place in a traditional art class. Visual culture, the author asserts, can include just about anything that is visually represented. Although people often think of visual culture as contemporary visuals such…

  10. Visual enhancement of laparoscopic nephrectomies using the 3-CCD camera

    NASA Astrophysics Data System (ADS)

    Crane, Nicole J.; Kansal, Neil S.; Dhanani, Nadeem; Alemozaffar, Mehrdad; Kirk, Allan D.; Pinto, Peter A.; Elster, Eric A.; Huffman, Scott W.; Levin, Ira W.

    2006-02-01

    Many surgical techniques are currently shifting from the more conventional, open approach towards minimally invasive laparoscopic procedures. Laparoscopy results in smaller incisions, potentially leading to less postoperative pain and more rapid recoveries . One key disadvantage of laparoscopic surgery is the loss of three-dimensional assessment of organs and tissue perfusion. Advances in laparoscopic technology include high-definition monitors for improved visualization and upgraded single charge coupled device (CCD) detectors to 3-CCD cameras, to provide a larger, more sensitive color palette to increase the perception of detail. In this discussion, we further advance existing laparoscopic technology to create greater enhancement of images obtained during radical and partial nephrectomies in which the assessment of tissue perfusion is crucial but limited with current 3-CCD cameras. By separating the signals received by each CCD in the 3-CCD camera and by introducing a straight forward algorithm, rapid differentiation of renal vessels and perfusion is accomplished and could be performed real time. The newly acquired images are overlaid onto conventional images for reference and comparison. This affords the surgeon the ability to accurately detect changes in tissue oxygenation despite inherent limitations of the visible light image. Such additional capability should impact procedures in which visual assessment of organ vitality is critical.

  11. Entry vehicle performance analysis and atmospheric guidance algorithm for precision landing on Mars. M.S. Thesis - Massachusetts Inst. of Technology

    NASA Technical Reports Server (NTRS)

    Dieriam, Todd A.

    1990-01-01

    Future missions to Mars may require pin-point landing precision, possibly on the order of tens of meters. The ability to reach a target while meeting a dynamic pressure constraint to ensure safe parachute deployment is complicated at Mars by low atmospheric density, high atmospheric uncertainty, and the desire to employ only bank angle control. The vehicle aerodynamic performance requirements and guidance necessary for 0.5 to 1.5 lift drag ratio vehicle to maximize the achievable footprint while meeting the constraints are examined. A parametric study of the various factors related to entry vehicle performance in the Mars environment is undertaken to develop general vehicle aerodynamic design requirements. The combination of low lift drag ratio and low atmospheric density at Mars result in a large phugoid motion involving the dynamic pressure which complicates trajectory control. Vehicle ballistic coefficient is demonstrated to be the predominant characteristic affecting final dynamic pressure. Additionally, a speed brake is shown to be ineffective at reducing the final dynamic pressure. An adaptive precision entry atmospheric guidance scheme is presented. The guidance uses a numeric predictor-corrector algorithm to control downrange, an azimuth controller to govern crossrange, and analytic control law to reduce the final dynamic pressure. Guidance performance is tested against a variety of dispersions, and the results from selected tests are presented. Precision entry using bank angle control only is demonstrated to be feasible at Mars.

  12. VHP - An environment for the remote visualization of heuristic processes

    NASA Technical Reports Server (NTRS)

    Crawford, Stuart L.; Leiner, Barry M.

    1991-01-01

    A software system called VHP is introduced which permits the visualization of heuristic algorithms on both resident and remote hardware platforms. The VHP is based on the DCF tool for interprocess communication and is applicable to remote algorithms which can be on different types of hardware and in languages other than VHP. The VHP system is of particular interest to systems in which the visualization of remote processes is required such as robotics for telescience applications.

  13. Wavelet Algorithm for Feature Identification and Image Analysis

    2005-10-01

    WVL are a set of python scripts based on the algorithm described in "A novel 3D wavelet-based filter for visualizing features in noisy biological data, " W. C. Moss et al., J. Microsc. 219, 43-49 (2005)

  14. Topological visual mapping in robotics.

    PubMed

    Romero, Anna; Cazorla, Miguel

    2012-08-01

    A key problem in robotics is the construction of a map from its environment. This map could be used in different tasks, like localization, recognition, obstacle avoidance, etc. Besides, the simultaneous location and mapping (SLAM) problem has had a lot of interest in the robotics community. This paper presents a new method for visual mapping, using topological instead of metric information. For that purpose, we propose prior image segmentation into regions in order to group the extracted invariant features in a graph so that each graph defines a single region of the image. Although others methods have been proposed for visual SLAM, our method is complete, in the sense that it makes all the process: it presents a new method for image matching; it defines a way to build the topological map; and it also defines a matching criterion for loop-closing. The matching process will take into account visual features and their structure using the graph transformation matching (GTM) algorithm, which allows us to process the matching and to remove out the outliers. Then, using this image comparison method, we propose an algorithm for constructing topological maps. During the experimentation phase, we will test the robustness of the method and its ability constructing topological maps. We have also introduced new hysteresis behavior in order to solve some problems found building the graph.

  15. Visual Interface for Materials Simulations

    2004-08-01

    VIMES (Visual Inteface for Materials Simulations) is a graphical user interface (GUI) for pre- and post-processing alomistic materials science calculations. The code includes tools for building and visualizing simple crystals, supercells, and surfaces, as well as tools for managing and modifying the input to Sandia materials simulations codes such as Quest (Peter Schultz, SNL 9235) and Towhee (Marcus Martin, SNL 9235). It is often useful to have a graphical interlace to construct input for materialsmore » simulations codes and to analyze the output of these programs. VIMES has been designed not only to build and visualize different materials systems, but also to allow several Sandia codes to be easier to use and analyze. Furthermore. VIMES has been designed to be reasonably easy to extend to new materials programs. We anticipate that users of Sandia materials simulations codes will use VIMCS to simplify the submission and analysis of these simulations. VIMES uses standard OpenGL graphics (as implemented in the Python programming language) to display the molecules. The algorithms used to rotate, zoom, and pan molecules are all standard applications using the OpenGL libraries. VIMES uses the Marching Cubes algorithm for isosurfacing 3D data such as molecular orbitals or electron densities around the molecules.« less

  16. Visual presentation and computer animation

    SciTech Connect

    Wang, Hua.

    1991-01-01

    This paper presents an assessment of the current computer graphics and video technologies as they applied to the fields of visual presentation and computer animation, including a discussion of inherent incompatibilities between computer graphics and video systems. The near-term technology trend is directed towards the integration of sound, video and computer graphics into a multimedia, desktop presentation system. With the forthcoming High-Definition Television (HDTV) standard, it can be predicted that computer graphics and video will eventually be integrated to a desktop video system. Recent advances in technology development to achieve these goals are described. 3 tabs.

  17. Current State of Digital Reference in Primary and Secondary Education; The Technological Challenges of digital Reference; Question Negotiation and the Technological Environment; Evaluation of Chat Reference Service Quality; Visual Resource Reference: Collaboration between Digital Museums and Digital Libraries.

    ERIC Educational Resources Information Center

    Lankes, R. David; Penka, Jeffrey T.; Janes, Joseph; Silverstein, Joanne; White, Marilyn Domas; Abels, Eileen G.; Kaske, Neal; Goodrum, Abby A.

    2003-01-01

    Includes five articles that discuss digital reference in elementary and secondary education; the need to understand the technological environment of digital reference; question negotiation in digital reference; a pilot study that evaluated chat reference service quality; and collaborative digital museum and digital library reference services. (LRW)

  18. Adaptive image contrast enhancement algorithm for point-based rendering

    NASA Astrophysics Data System (ADS)

    Xu, Shaoping; Liu, Xiaoping P.

    2015-03-01

    Surgical simulation is a major application in computer graphics and virtual reality, and most of the existing work indicates that interactive real-time cutting simulation of soft tissue is a fundamental but challenging research problem in virtual surgery simulation systems. More specifically, it is difficult to achieve a fast enough graphic update rate (at least 30 Hz) on commodity PC hardware by utilizing traditional triangle-based rendering algorithms. In recent years, point-based rendering (PBR) has been shown to offer the potential to outperform the traditional triangle-based rendering in speed when it is applied to highly complex soft tissue cutting models. Nevertheless, the PBR algorithms are still limited in visual quality due to inherent contrast distortion. We propose an adaptive image contrast enhancement algorithm as a postprocessing module for PBR, providing high visual rendering quality as well as acceptable rendering efficiency. Our approach is based on a perceptible image quality technique with automatic parameter selection, resulting in a visual quality comparable to existing conventional PBR algorithms. Experimental results show that our adaptive image contrast enhancement algorithm produces encouraging results both visually and numerically compared to representative algorithms, and experiments conducted on the latest hardware demonstrate that the proposed PBR framework with the postprocessing module is superior to the conventional PBR algorithm and that the proposed contrast enhancement algorithm can be utilized in (or compatible with) various variants of the conventional PBR algorithm.

  19. Fast SIFT design for real-time visual feature extraction.

    PubMed

    Chiu, Liang-Chi; Chang, Tian-Sheuan; Chen, Jiun-Yen; Chang, Nelson Yen-Chung

    2013-08-01

    Visual feature extraction with scale invariant feature transform (SIFT) is widely used for object recognition. However, its real-time implementation suffers from long latency, heavy computation, and high memory storage because of its frame level computation with iterated Gaussian blur operations. Thus, this paper proposes a layer parallel SIFT (LPSIFT) with integral image, and its parallel hardware design with an on-the-fly feature extraction flow for real-time application needs. Compared with the original SIFT algorithm, the proposed approach reduces the computational amount by 90% and memory usage by 95%. The final implementation uses 580-K gate count with 90-nm CMOS technology, and offers 6000 feature points/frame for VGA images at 30 frames/s and ∼ 2000 feature points/frame for 1920 × 1080 images at 30 frames/s at the clock rate of 100 MHz. PMID:23743775

  20. Comparing the quality of accessing medical literature using content-based visual and textual information retrieval

    NASA Astrophysics Data System (ADS)

    Müller, Henning; Kalpathy-Cramer, Jayashree; Kahn, Charles E., Jr.; Hersh, William

    2009-02-01

    Content-based visual information (or image) retrieval (CBIR) has been an extremely active research domain within medical imaging over the past ten years, with the goal of improving the management of visual medical information. Many technical solutions have been proposed, and application scenarios for image retrieval as well as image classification have been set up. However, in contrast to medical information retrieval using textual methods, visual retrieval has only rarely been applied in clinical practice. This is despite the large amount and variety of visual information produced in hospitals every day. This information overload imposes a significant burden upon clinicians, and CBIR technologies have the potential to help the situation. However, in order for CBIR to become an accepted clinical tool, it must demonstrate a higher level of technical maturity than it has to date. Since 2004, the ImageCLEF benchmark has included a task for the comparison of visual information retrieval algorithms for medical applications. In 2005, a task for medical image classification was introduced and both tasks have been run successfully for the past four years. These benchmarks allow an annual comparison of visual retrieval techniques based on the same data sets and the same query tasks, enabling the meaningful comparison of various retrieval techniques. The datasets used from 2004-2007 contained images and annotations from medical teaching files. In 2008, however, the dataset used was made up of 67,000 images (along with their associated figure captions and the full text of their corresponding articles) from two Radiological Society of North America (RSNA) scientific journals. This article describes the results of the medical image retrieval task of the ImageCLEF 2008 evaluation campaign. We compare the retrieval results of both visual and textual information retrieval systems from 15 research groups on the aforementioned data set. The results show clearly that, currently