Demographic Variables as Factors Influencing Accessibility and Utilisation of Library Software by Undergraduates in Two Private Universities in Nigeria

ERIC Educational Resources Information Center

Tolulope, Akano

2017-01-01

Libraries before the 21st century carried out daily routine library task such as cataloguing and classification, acquisition, reference services etc using manual procedures only but the advent of Information Technology as transformed these routine task that libraries can now automate their activities by deploying the use of library software in…

[On practicability of implementing the speciality "podiatry" in traumatology and orthopedics].

PubMed

2011-01-01

The absence of single opinion concerning the classification of foot and ankle joint pathology does not permit to formulate universal and practical approach to the identification of pathological syndromes in case of patient foot lesion. The situation is aggravated by the unsolved issues related to the terminological definition of podiatry as a direction in orthopedics to solve the issues of foot and ankle joint pathology. In actual conditions the implementation of new technologies into the structure of traumatological orthopedics care is needed. This approach permits to combine the qualities of models of effective and optimized care to patients with foot and ankle joint pathology. The study of issue related to the systematization of podiatric pathology revealed that actually no single universal classification easy-to-use in practice exists. Hence the development of original applied working scheme of foot and ankle joint pathology is proposed.

Technology utilization in a non-urban region: Further impact and technique of the Technology Use Studies Center, 2

NASA Technical Reports Server (NTRS)

Gold, H. C. (Editor); Moore, A. M.; Dodd, B.; Dittmar, V.

1971-01-01

The clientele served by the Technology Use Studies Center (TUSC) is updated. Manufacturing leads the list of client firms. The standard industrial classification (SIC) range of these firms is broad. Substantial numbers of college and university faculties are using TUSC services. Field operations inherent in the functions of dissemination and assistance are reviewed. Increasing emphasis among clientele is on environmental concerns and management. A record is provided of the institutions contacted and the extent of TUSC involvement with them, as well as TUSC's cooperation with agencies and organizations. The impact of TUSC and the NASA-sponsored Technology Utilization Program on other public agencies is discussed.

Energy, Power & Interconnect Technologies Division Overview

DTIC Science & Technology

2010-02-26

Indiana University, Bloomington, IN, February 26, 2010 14. ABSTRACT 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF...Battery Expertise Alkaline (Sealed/Vented) Lithium (Reserve/Active) Thermal Aluminum-Oxygen (Air) Cadmium -Oxygen (Air) Carbon-Zinc Mercury- Cadmium M Zi...Iron Nickel- Cadmium Nickel-Hydrogen Oxyhalide Polymer Sulfur Dioxide Sulfuryl Chloride Thionyl Chloride V di P t id um con o a su e Magnesium/Vanadium

Towards Enhancing Written Communication Skills in the Army: Cognitive and Metacognitive Perspective

DTIC Science & Technology

1987-08-01

Din: 2 Technical Report 755 Towards Enhancing Written Communication Skills in the Army: Cognitive and Metacognitive Perspective (v) Linda Baker O...University of Maryland I Technologies for Skill Acquisition and Retention Training Research Laboratory DTICSELECTE JUL 0 8 1988 H U. S. Army Research...Include Security Classification) Towards Enhancing Written Communication Skills in the Army: Cognitive and Metacognitive Perspective 12. PERSONAL AUTHOR(S

Study design in high-dimensional classification analysis.

PubMed

Sánchez, Brisa N; Wu, Meihua; Song, Peter X K; Wang, Wen

2016-10-01

Advances in high throughput technology have accelerated the use of hundreds to millions of biomarkers to construct classifiers that partition patients into different clinical conditions. Prior to classifier development in actual studies, a critical need is to determine the sample size required to reach a specified classification precision. We develop a systematic approach for sample size determination in high-dimensional (large [Formula: see text] small [Formula: see text]) classification analysis. Our method utilizes the probability of correct classification (PCC) as the optimization objective function and incorporates the higher criticism thresholding procedure for classifier development. Further, we derive the theoretical bound of maximal PCC gain from feature augmentation (e.g. when molecular and clinical predictors are combined in classifier development). Our methods are motivated and illustrated by a study using proteomics markers to classify post-kidney transplantation patients into stable and rejecting classes. © The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Applying matching pursuit decomposition time-frequency processing to UGS footstep classification

NASA Astrophysics Data System (ADS)

Larsen, Brett W.; Chung, Hugh; Dominguez, Alfonso; Sciacca, Jacob; Kovvali, Narayan; Papandreou-Suppappola, Antonia; Allee, David R.

2013-06-01

The challenge of rapid footstep detection and classification in remote locations has long been an important area of study for defense technology and national security. Also, as the military seeks to create effective and disposable unattended ground sensors (UGS), computational complexity and power consumption have become essential considerations in the development of classification techniques. In response to these issues, a research project at the Flexible Display Center at Arizona State University (ASU) has experimented with footstep classification using the matching pursuit decomposition (MPD) time-frequency analysis method. The MPD provides a parsimonious signal representation by iteratively selecting matched signal components from a pre-determined dictionary. The resulting time-frequency representation of the decomposed signal provides distinctive features for different types of footsteps, including footsteps during walking or running activities. The MPD features were used in a Bayesian classification method to successfully distinguish between the different activities. The computational cost of the iterative MPD algorithm was reduced, without significant loss in performance, using a modified MPD with a dictionary consisting of signals matched to cadence temporal gait patterns obtained from real seismic measurements. The classification results were demonstrated with real data from footsteps under various conditions recorded using a low-cost seismic sensor.

The Classification of Art Slides: A Survey and Recommendations.

ERIC Educational Resources Information Center

Watt, Richard S.

The nature and variety of classification systems for museum and university art department slide collections are surveyed through a review of the literature on slide classification in the United States, Great Britain, and Australia, and through case studies of major slide collections at Duke University, the University of North Carolina at Chapel…

Use of machine learning methods to classify Universities based on the income structure

NASA Astrophysics Data System (ADS)

Terlyga, Alexandra; Balk, Igor

2017-10-01

In this paper we discuss use of machine learning methods such as self organizing maps, k-means and Ward’s clustering to perform classification of universities based on their income. This classification will allow us to quantitate classification of universities as teaching, research, entrepreneur, etc. which is important tool for government, corporations and general public alike in setting expectation and selecting universities to achieve different goals.

The Universal Decimal Classification: Some Factors Concerning Its Origins, Development, and Influence.

ERIC Educational Resources Information Center

McIlwaine, I. C.

1997-01-01

Discusses the history and development of the Universal Decimal Classification (UDC). Topics include the relationship with Dewey Decimal Classification; revision process; structure; facet analysis; lack of standard rules for application; application in automated systems; influence of UDC on classification development; links with thesauri; and use…

Classification of maxillectomy defects: a systematic review and criteria necessary for a universal description.

PubMed

Bidra, Avinash S; Jacob, Rhonda F; Taylor, Thomas D

2012-04-01

Maxillectomy defects are complex and involve a number of anatomic structures. Several maxillectomy defect classifications have been proposed with no universal acceptance among surgeons and prosthodontists. Established criteria for describing the maxillectomy defect are lacking. This systematic review aimed to evaluate classification systems in the available literature, to provide a critical appraisal, and to identify the criteria necessary for a universal description of maxillectomy and midfacial defects. An electronic search of the English language literature between the periods of 1974 and June 2011 was performed by using PubMed, Scopus, and Cochrane databases with predetermined inclusion criteria. Key terms included in the search were maxillectomy classification, maxillary resection classification, maxillary removal classification, maxillary reconstruction classification, midfacial defect classification, and midfacial reconstruction classification. This was supplemented by a manual search of selected journals. After application of predetermined exclusion criteria, the final list of articles was reviewed in-depth to provide a critical appraisal and identify criteria for a universal description of a maxillectomy defect. The electronic database search yielded 261 titles. Systematic application of inclusion and exclusion criteria resulted in identification of 14 maxillectomy and midfacial defect classification systems. From these articles, 6 different criteria were identified as necessary for a universal description of a maxillectomy defect. Multiple deficiencies were noted in each classification system. Though most articles described the superior-inferior extent of the defect, only a small number of articles described the anterior-posterior and medial-lateral extent of the defect. Few articles listed dental status and soft palate involvement when describing maxillectomy defects. No classification system has accurately described the maxillectomy defect, based on criteria that satisfy both surgical and prosthodontic needs. The 6 criteria identified in this systematic review for a universal description of a maxillectomy defect are: 1) dental status; 2) oroantral/nasal communication status; 3) soft palate and other contiguous structure involvement; 4) superior-inferior extent; 5) anterior-posterior extent; and 6) medial-lateral extent of the defect. A criteria-based description appears more objective and amenable for universal use than a classification-based description. Copyright © 2012 The Editorial Council of the Journal of Prosthetic Dentistry. Published by Mosby, Inc. All rights reserved.

[Evaluation of new and emerging health technologies. Proposal for classification].

PubMed

Prados-Torres, J D; Vidal-España, F; Barnestein-Fonseca, P; Gallo-García, C; Irastorza-Aldasoro, A; Leiva-Fernández, F

2011-01-01

Review and develop a proposal for the classification of health technologies (HT) evaluated by the Health Technology Assessment Agencies (HTAA). Peer review of AETS of the previous proposed classification of HT. Analysis of their input and suggestions for amendments. Construction of a new classification. Pilot study with physicians. Andalusian Public Health System. Spanish HTAA. Experts from HTAA. Tutors of family medicine residents. HT Update classification previously made by the research team. Peer review by Spanish HTAA. Qualitative and quantitative analysis of responses. Construction of a new and pilot study based on 12 evaluation reports of the HTAA. We obtained 11 thematic categories that are classified into 6 major head groups: 1, prevention technology; 2, diagnostic technology; 3, therapeutic technologies; 4, diagnostic and therapeutic technologies; 5, organizational technology, and 6, knowledge management and quality of care. In the pilot there was a good concordance in the classification of 8 of the 12 reports reviewed by physicians. Experts agree on 11 thematic categories of HT. A new classification of HT with double entry (Nature and purpose of HT) is proposed. APPLICABILITY: According to experts, the classification of the work of the HTAA may represent a useful tool to transfer and manage knowledge. Moreover, an adequate classification of the HTAA reports would help clinicians and other potential users to locate them and this can facilitate their dissemination. Copyright © 2010 SECA. Published by Elsevier Espana. All rights reserved.

Earth Observation Services (Forest Imaging)

NASA Technical Reports Server (NTRS)

1992-01-01

Two university professors used EOCAP funding to demonstrate that satellite data can generate forest classifications with equal or better accuracy than traditional aerial photography techniques. This comparison had not been previously available. CALFIRST, the resulting processing package, will be marketed to forest companies and government agencies. The EOCAP program provides government co-funding to encourage private investment in, and to broaden the use of, NASA- developed technology for analyzing information about Earth and ocean resources.

Census of the Local Universe (CLU): Classification of Galaxy Candidates in Narrowband Images Using Machine Learning

NASA Astrophysics Data System (ADS)

Zhang, Chaoran; Van Sistine, Anglea; Kaplan, David; Brady, Patrick; Cook, David O.; Kasliwal, Mansi

2018-01-01

A complete catalog of galaxies in the local universe is critical for efficient electromagnetic follow-up of gravitational wave events (EMGW). The Census of the Local Universe (CLU; Cook et al. 2017, in preparation) aims to provide a galaxy catalog out to 200 Mpc that is as complete as possible. CLU has recently completed an Hα survey of ~3π of the sky with the goal of cataloging those galaxies that are likely hosts of EMGW events. Here, we present a tool we developed using machine learning technology to classify sources extracted from the Hα narrowband images within 200Mpc. In this analysis we find we are able to recover more galaxies compared to selections based on Hα colors alone.

New technologies accelerate the exploration of non-coding RNAs in horticultural plants

DOE Office of Scientific and Technical Information (OSTI.GOV)

Liu, Degao; Mewalal, Ritesh; Hu, Rongbin

Non-coding RNAs (ncRNAs), that is, RNAs not translated into proteins, are crucial regulators of a variety of biological processes in plants. While protein-encoding genes have been relatively well-annotated in sequenced genomes, accounting for a small portion of the genome space in plants, the universe of plant ncRNAs is rapidly expanding. Recent advances in experimental and computational technologies have generated a great momentum for discovery and functional characterization of ncRNAs. Here we summarize the classification and known biological functions of plant ncRNAs, review the application of next-generation sequencing (NGS) technology and ribosome profiling technology to ncRNA discovery in horticultural plants andmore » discuss the application of new technologies, especially the new genome-editing tool clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 (Cas9) systems, to functional characterization of plant ncRNAs.« less

New technologies accelerate the exploration of non-coding RNAs in horticultural plants

PubMed Central

Liu, Degao; Mewalal, Ritesh; Hu, Rongbin; Tuskan, Gerald A; Yang, Xiaohan

2017-01-01

Non-coding RNAs (ncRNAs), that is, RNAs not translated into proteins, are crucial regulators of a variety of biological processes in plants. While protein-encoding genes have been relatively well-annotated in sequenced genomes, accounting for a small portion of the genome space in plants, the universe of plant ncRNAs is rapidly expanding. Recent advances in experimental and computational technologies have generated a great momentum for discovery and functional characterization of ncRNAs. Here we summarize the classification and known biological functions of plant ncRNAs, review the application of next-generation sequencing (NGS) technology and ribosome profiling technology to ncRNA discovery in horticultural plants and discuss the application of new technologies, especially the new genome-editing tool clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 (Cas9) systems, to functional characterization of plant ncRNAs. PMID:28698797

Degree Classification and Recent Graduates' Ability: Is There Any Signalling Effect?

ERIC Educational Resources Information Center

Di Pietro, Giorgio

2017-01-01

Research across several countries has shown that degree classification (i.e. the final grade awarded to students successfully completing university) is an important determinant of graduates' first destination outcome. Graduates leaving university with higher degree classifications have better employment opportunities and a higher likelihood of…

The biobank for the molecular classification of kidney disease: research translation and precision medicine in nephrology.

PubMed

Muruve, Daniel A; Mann, Michelle C; Chapman, Kevin; Wong, Josee F; Ravani, Pietro; Page, Stacey A; Benediktsson, Hallgrimur

2017-07-26

Advances in technology and the ability to interrogate disease pathogenesis using systems biology approaches are exploding. As exemplified by the substantial progress in the personalized diagnosis and treatment of cancer, the application of systems biology to enable precision medicine in other disciplines such as Nephrology is well underway. Infrastructure that permits the integration of clinical data, patient biospecimens and advanced technologies is required for institutions to contribute to, and benefit from research in molecular disease classification and to devise specific and patient-oriented treatments. We describe the establishment of the Biobank for the Molecular Classification of Kidney Disease (BMCKD) at the University of Calgary, Alberta, Canada. The BMCKD consists of a fully equipped wet laboratory, an information technology infrastructure, and a formal operational, ethical and legal framework for banking human biospecimens and storing clinical data. The BMCKD first consolidated a large retrospective cohort of kidney biopsy specimens to create a population-based renal pathology database and tissue inventory of glomerular and other kidney diseases. The BMCKD will continue to prospectively bank all kidney biopsies performed in Southern Alberta. The BMCKD is equipped to perform molecular, clinical and epidemiologic studies in renal pathology. The BMCKD also developed formal biobanking procedures for human specimens such as blood, urine and nucleic acids collected for basic and clinical research studies or for advanced diagnostic technologies in clinical care. The BMCKD is guided by standard operating procedures, an ethics framework and legal agreements with stakeholders that include researchers, data custodians and patients. The design and structure of the BMCKD permits its inclusion in a wide variety of research and clinical activities. The BMCKD is a core multidisciplinary facility that will bridge basic and clinical research and integrate precision medicine into renal pathology and nephrology.

Drunk driving detection based on classification of multivariate time series.

PubMed

Li, Zhenlong; Jin, Xue; Zhao, Xiaohua

2015-09-01

This paper addresses the problem of detecting drunk driving based on classification of multivariate time series. First, driving performance measures were collected from a test in a driving simulator located in the Traffic Research Center, Beijing University of Technology. Lateral position and steering angle were used to detect drunk driving. Second, multivariate time series analysis was performed to extract the features. A piecewise linear representation was used to represent multivariate time series. A bottom-up algorithm was then employed to separate multivariate time series. The slope and time interval of each segment were extracted as the features for classification. Third, a support vector machine classifier was used to classify driver's state into two classes (normal or drunk) according to the extracted features. The proposed approach achieved an accuracy of 80.0%. Drunk driving detection based on the analysis of multivariate time series is feasible and effective. The approach has implications for drunk driving detection. Copyright © 2015 Elsevier Ltd and National Safety Council. All rights reserved.

75 FR 28554 - Elimination of Classification Requirement in the Green Technology Pilot Program

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-21

...] Elimination of Classification Requirement in the Green Technology Pilot Program AGENCY: United States Patent.... classifications to assist the USPTO to balance the workload and gauge resources needed for the program. The USPTO has determined that the classification requirement is unnecessary because the workload has been...

SWOT analysis of Banff: strengths, weaknesses, opportunities and threats of the international Banff consensus process and classification system for renal allograft pathology.

PubMed

Mengel, M; Sis, B; Halloran, P F

2007-10-01

The Banff process defined the diagnostic histologic lesions for renal allograft rejection and created a standardized classification system where none had existed. By correcting this deficit the process had universal impact on clinical practice and clinical and basic research. All trials of new drugs since the early 1990s benefited, because the Banff classification of lesions permitted the end point of biopsy-proven rejection. The Banff process has strengths, weaknesses, opportunities and threats (SWOT). The strength is its self-organizing group structure to create consensus. Consensus does not mean correctness: defining consensus is essential if a widely held view is to be proved wrong. The weaknesses of the Banff process are the absence of an independent external standard to test the classification; and its almost exclusive reliance on histopathology, which has inherent limitations in intra- and interobserver reproducibility, particularly at the interface between borderline and rejection, is exactly where clinicians demand precision. The opportunity lies in the new technology such as transcriptomics, which can form an external standard and can be incorporated into a new classification combining the elegance of histopathology and the objectivity of transcriptomics. The threat is the degree to which the renal transplant community will participate in and support this process.

Classification in Australia.

ERIC Educational Resources Information Center

McKinlay, John

Despite some inroads by the Library of Congress Classification and short-lived experimentation with Universal Decimal Classification and Bliss Classification, Dewey Decimal Classification, with its ability in recent editions to be hospitable to local needs, remains the most widely used classification system in Australia. Although supplemented at…

Railroad Classification Yard Technology Manual: Volume II : Yard Computer Systems

DOT National Transportation Integrated Search

1981-08-01

This volume (Volume II) of the Railroad Classification Yard Technology Manual documents the railroad classification yard computer systems methodology. The subjects covered are: functional description of process control and inventory computer systems,...

Joint Standing Committee on Education: Update on Higher Education Personnel Study

ERIC Educational Resources Information Center

West Virginia Higher Education Policy Commission, 2006

2006-01-01

The following topics are included in this update: (1) Comparison of West Virginia classification and compensation systems to those of the University of Michigan, the University system of Maryland, and the University of North Carolina; (2) Classification and Compensation System Training, including an agenda and summary of a two-day seminar devoted…

Classification of Pelteobagrus fish in Poyang Lake based on mitochondrial COI gene sequence.

PubMed

Zhong, Bin; Chen, Ting-Ting; Gong, Rui-Yue; Zhao, Zhe-Xia; Wang, Binhua; Fang, Chunlin; Mao, Hui-Ling

2016-11-01

We use DNA molecular marker technology to correct the deficiency of traditional morphological taxonomy. Totality 770 Pelteobagrus fish from Poyang Lake were collected. After preliminary morphological classification, random selected eight samples in each species for DNA extraction. Mitochondrial COI gene sequence was cloned with universal primers and sequenced. The results showed that there are four species of Pelteobagrus living in Poyang Lake. The average of intraspecific genetic distance value was 0.003, while the average interspecific genetic distance was 0.128. The interspecific genetic distance is far more than intraspecific genetic distance. Besides, phylogenetic tree analysis revealed that molecular systematics was in accord with morphological classification. It indicated that COI gene is an effective DNA molecular marker in Pelteobagrus classification. Surprisingly, the intraspecific difference of some individuals (P. e6, P. n6, P. e5, and P. v4) from their original named exceeded species threshold (2%), which should be renewedly classified into Pelteobagrus fulvidraco. However, another individual P. v3 was very different, because its genetic distance was over 8.4% difference from original named Pelteobagrus vachelli. Its taxonomic status remained to be further studied.

Applying the Methodology of the Community College Classification Scheme to the Public Master's Colleges and Universities Sector

ERIC Educational Resources Information Center

Kinkead, J. Clint.; Katsinas, Stephen G.

2011-01-01

This work brings forward the geographically-based classification scheme for the public Master's Colleges and Universities sector. Using the same methodology developed by Katsinas and Hardy (2005) to classify community colleges, this work classifies Master's Colleges and Universities. This work has four major findings and conclusions. First, a…

Classification Framework for ICT-Based Learning Technologies for Disabled People

ERIC Educational Resources Information Center

Hersh, Marion

2017-01-01

The paper presents the first systematic approach to the classification of inclusive information and communication technologies (ICT)-based learning technologies and ICT-based learning technologies for disabled people which covers both assistive and general learning technologies, is valid for all disabled people and considers the full range of…

Describing a University Occupation Using the Position Classification Inventory: An Extension of Holland's Theory

ERIC Educational Resources Information Center

Miller, Mark J.; O'Rear, Tammi; Cowger, Ernest L.; Livingston, Mary M.

2005-01-01

This study examined perceptions of a university-level occupation using the recently developed Position Classification Inventory (PCI). Results suggest that the PCI shows promise as a method of classifying specific occupations according to Holland's theory.

Improving Pattern Recognition and Neural Network Algorithms with Applications to Solar Panel Energy Optimization

NASA Astrophysics Data System (ADS)

Zamora Ramos, Ernesto

Artificial Intelligence is a big part of automation and with today's technological advances, artificial intelligence has taken great strides towards positioning itself as the technology of the future to control, enhance and perfect automation. Computer vision includes pattern recognition and classification and machine learning. Computer vision is at the core of decision making and it is a vast and fruitful branch of artificial intelligence. In this work, we expose novel algorithms and techniques built upon existing technologies to improve pattern recognition and neural network training, initially motivated by a multidisciplinary effort to build a robot that helps maintain and optimize solar panel energy production. Our contributions detail an improved non-linear pre-processing technique to enhance poorly illuminated images based on modifications to the standard histogram equalization for an image. While the original motivation was to improve nocturnal navigation, the results have applications in surveillance, search and rescue, medical imaging enhancing, and many others. We created a vision system for precise camera distance positioning motivated to correctly locate the robot for capture of solar panel images for classification. The classification algorithm marks solar panels as clean or dirty for later processing. Our algorithm extends past image classification and, based on historical and experimental data, it identifies the optimal moment in which to perform maintenance on marked solar panels as to minimize the energy and profit loss. In order to improve upon the classification algorithm, we delved into feedforward neural networks because of their recent advancements, proven universal approximation and classification capabilities, and excellent recognition rates. We explore state-of-the-art neural network training techniques offering pointers and insights, culminating on the implementation of a complete library with support for modern deep learning architectures, multilayer percepterons and convolutional neural networks. Our research with neural networks has encountered a great deal of difficulties regarding hyperparameter estimation for good training convergence rate and accuracy. Most hyperparameters, including architecture, learning rate, regularization, trainable parameters (or weights) initialization, and so on, are chosen via a trial and error process with some educated guesses. However, we developed the first quantitative method to compare weight initialization strategies, a critical hyperparameter choice during training, to estimate among a group of candidate strategies which would make the network converge to the highest classification accuracy faster with high probability. Our method provides a quick, objective measure to compare initialization strategies to select the best possible among them beforehand without having to complete multiple training sessions for each candidate strategy to compare final results.

Ontology driven integration platform for clinical and translational research

PubMed Central

Mirhaji, Parsa; Zhu, Min; Vagnoni, Mattew; Bernstam, Elmer V; Zhang, Jiajie; Smith, Jack W

2009-01-01

Semantic Web technologies offer a promising framework for integration of disparate biomedical data. In this paper we present the semantic information integration platform under development at the Center for Clinical and Translational Sciences (CCTS) at the University of Texas Health Science Center at Houston (UTHSC-H) as part of our Clinical and Translational Science Award (CTSA) program. We utilize the Semantic Web technologies not only for integrating, repurposing and classification of multi-source clinical data, but also to construct a distributed environment for information sharing, and collaboration online. Service Oriented Architecture (SOA) is used to modularize and distribute reusable services in a dynamic and distributed environment. Components of the semantic solution and its overall architecture are described. PMID:19208190

Railroad Classification Yard Technology : A Survey and Assessment

DOT National Transportation Integrated Search

1977-01-01

This report documents a survey and assessment of the current state of the art in rail freight-car classification yard technology. The major objective was the identification of research and development necessary for technological improvements in railr...

Prototype Expert System for Climate Classification.

ERIC Educational Resources Information Center

Harris, Clay

Many students find climate classification laborious and time-consuming, and through their lack of repetition fail to grasp the details of classification. This paper describes an expert system for climate classification that is being developed at Middle Tennessee State University. Topics include: (1) an introduction to the nature of classification,…

A case study of the introduction of the International Classification for Nursing Practice(®) in Poland.

PubMed

Kilańska, D; Gaworska-Krzemińska, A; Grabowska, H; Gorzkowicz, B

2016-09-01

The development of a nursing practice, improvements in nurses' autonomy, and increased professional and personal responsibility for the medical services provided all require professional documentation with records of health status assessments, decisions undertaken, actions and their outcomes for each patient. The International Classification for Nursing Practice is a tool that meets all of these needs, and although it requires continuous evaluation, it offers professional documentation and communication in the practitioner and researcher community. The aim of this paper is to present a theoretical critique of an issue related to policy and experience of the current situation in Polish nursing - especially of the efforts to standardize nursing practices through the introduction and development of the Classification in Poland. Despite extensive promotion and training by International Council of Nurses members worldwide, there are still many countries where the Classification has not been implemented as a standard tool in healthcare facilities. Recently, a number of initiatives were undertaken in cooperation with the local and state authorities to disseminate the Classification in healthcare facilities. Thanks to intense efforts by the Polish Nurses Association and the International Council of Nurses Accredited Center for ICNP(®) Research & Development at the Medical University of Łódź, the Classification is known in Poland and has been tested at several centres. Nevertheless, an actual implementation that would allow for national and international interoperability requires strategic governmental decisions and close cooperation with information technology companies operating in the country. Discussing the barriers to the implementation of the Classification can improve understanding of it and its use. At a policy level, decision makers need to understand that use Classification in eHealth services and tools it is necessary to achieve interoperability. © 2016 International Council of Nurses.

[Classification and organization technologies in public health].

PubMed

Filatov, V B; Zhiliaeva, E P; Kal'fa, Iu I

2000-01-01

The authors discuss the impact and main characteristics of organization technologies in public health and the processes of their development and evaluation. They offer an original definition of the notion "organization technologies" with approaches to their classification. A system of logical bases is offered, which can be used for classification. These bases include the level of organization maturity and stage of development of organization technology, its destination to a certain level of management, type of influence and concentration of trend, mechanism of effect, functional group, and methods of development.

Impact of Growth in the Universe of Subjects on Classification.

ERIC Educational Resources Information Center

Ranganathan, Shiyali Ramamritam

The development of the removal of rigidity in library classification is traced from the Enumerative Classification of DC (1876) through the Nearly-Faceted Classification of UDC (1896), the rigidly, though fully faceted version of CC (1933), the generalized faceted structure of version 2 of CC (1949), down to the Freely Faceted Classification of…

Machine processing of remotely sensed data; Proceedings of the Fifth Annual Symposium, Purdue University, West Lafayette, Ind., June 27-29, 1979

NASA Technical Reports Server (NTRS)

Tendam, I. M. (Editor); Morrison, D. B.

1979-01-01

Papers are presented on techniques and applications for the machine processing of remotely sensed data. Specific topics include the Landsat-D mission and thematic mapper, data preprocessing to account for atmospheric and solar illumination effects, sampling in crop area estimation, the LACIE program, the assessment of revegetation on surface mine land using color infrared aerial photography, the identification of surface-disturbed features through a nonparametric analysis of Landsat MSS data, the extraction of soil data in vegetated areas, and the transfer of remote sensing computer technology to developing nations. Attention is also given to the classification of multispectral remote sensing data using context, the use of guided clustering techniques for Landsat data analysis in forest land cover mapping, crop classification using an interactive color display, and future trends in image processing software and hardware.

Scalable clustering algorithms for continuous environmental flow cytometry.

PubMed

Hyrkas, Jeremy; Clayton, Sophie; Ribalet, Francois; Halperin, Daniel; Armbrust, E Virginia; Howe, Bill

2016-02-01

Recent technological innovations in flow cytometry now allow oceanographers to collect high-frequency flow cytometry data from particles in aquatic environments on a scale far surpassing conventional flow cytometers. The SeaFlow cytometer continuously profiles microbial phytoplankton populations across thousands of kilometers of the surface ocean. The data streams produced by instruments such as SeaFlow challenge the traditional sample-by-sample approach in cytometric analysis and highlight the need for scalable clustering algorithms to extract population information from these large-scale, high-frequency flow cytometers. We explore how available algorithms commonly used for medical applications perform at classification of such a large-scale, environmental flow cytometry data. We apply large-scale Gaussian mixture models to massive datasets using Hadoop. This approach outperforms current state-of-the-art cytometry classification algorithms in accuracy and can be coupled with manual or automatic partitioning of data into homogeneous sections for further classification gains. We propose the Gaussian mixture model with partitioning approach for classification of large-scale, high-frequency flow cytometry data. Source code available for download at https://github.com/jhyrkas/seaflow_cluster, implemented in Java for use with Hadoop. hyrkas@cs.washington.edu Supplementary data are available at Bioinformatics online. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Comparative Demonstration and Evaluation of Classification Technologies: Closed Castner Range, Fort Bliss, Texas

DTIC Science & Technology

2017-01-23

of classification technologies for Munitions Response (MR). This demonstration was designed to evaluate advanced classification methodology at the...advanced electromagnetic induction sensors and static, cued surveys to classify anomalies as either targets of interest (TOI) or non -TOI. Static data...17  5.1  Conceptual Experimental Design

Using advanced computer vision algorithms on small mobile robots

NASA Astrophysics Data System (ADS)

Kogut, G.; Birchmore, F.; Biagtan Pacis, E.; Everett, H. R.

2006-05-01

The Technology Transfer project employs a spiral development process to enhance the functionality and autonomy of mobile robot systems in the Joint Robotics Program (JRP) Robotic Systems Pool by converging existing component technologies onto a transition platform for optimization. An example of this approach is the implementation of advanced computer vision algorithms on small mobile robots. We demonstrate the implementation and testing of the following two algorithms useful on mobile robots: 1) object classification using a boosted Cascade of classifiers trained with the Adaboost training algorithm, and 2) human presence detection from a moving platform. Object classification is performed with an Adaboost training system developed at the University of California, San Diego (UCSD) Computer Vision Lab. This classification algorithm has been used to successfully detect the license plates of automobiles in motion in real-time. While working towards a solution to increase the robustness of this system to perform generic object recognition, this paper demonstrates an extension to this application by detecting soda cans in a cluttered indoor environment. The human presence detection from a moving platform system uses a data fusion algorithm which combines results from a scanning laser and a thermal imager. The system is able to detect the presence of humans while both the humans and the robot are moving simultaneously. In both systems, the two aforementioned algorithms were implemented on embedded hardware and optimized for use in real-time. Test results are shown for a variety of environments.

Classification of weld defect based on information fusion technology for radiographic testing system

DOE Office of Scientific and Technical Information (OSTI.GOV)

Jiang, Hongquan; Liang, Zeming, E-mail: heavenlzm@126.com; Gao, Jianmin

Improving the efficiency and accuracy of weld defect classification is an important technical problem in developing the radiographic testing system. This paper proposes a novel weld defect classification method based on information fusion technology, Dempster–Shafer evidence theory. First, to characterize weld defects and improve the accuracy of their classification, 11 weld defect features were defined based on the sub-pixel level edges of radiographic images, four of which are presented for the first time in this paper. Second, we applied information fusion technology to combine different features for weld defect classification, including a mass function defined based on the weld defectmore » feature information and the quartile-method-based calculation of standard weld defect class which is to solve a sample problem involving a limited number of training samples. A steam turbine weld defect classification case study is also presented herein to illustrate our technique. The results show that the proposed method can increase the correct classification rate with limited training samples and address the uncertainties associated with weld defect classification.« less

Classification of weld defect based on information fusion technology for radiographic testing system.

PubMed

Jiang, Hongquan; Liang, Zeming; Gao, Jianmin; Dang, Changying

2016-03-01

Improving the efficiency and accuracy of weld defect classification is an important technical problem in developing the radiographic testing system. This paper proposes a novel weld defect classification method based on information fusion technology, Dempster-Shafer evidence theory. First, to characterize weld defects and improve the accuracy of their classification, 11 weld defect features were defined based on the sub-pixel level edges of radiographic images, four of which are presented for the first time in this paper. Second, we applied information fusion technology to combine different features for weld defect classification, including a mass function defined based on the weld defect feature information and the quartile-method-based calculation of standard weld defect class which is to solve a sample problem involving a limited number of training samples. A steam turbine weld defect classification case study is also presented herein to illustrate our technique. The results show that the proposed method can increase the correct classification rate with limited training samples and address the uncertainties associated with weld defect classification.

A Computerized Architecture Slide Classification for a Small University Collection.

ERIC Educational Resources Information Center

Powell, Richard K.

This paper briefly outlines the process used to organize, classify, and make accessible a collection of architecture slides in the Architecture Resource Center at Andrews University in Michigan. The classification system includes the use of Art and Architecture Thesaurus subject headings, the ERIC (Educational Resources Information Center) concept…

How should children with speech sound disorders be classified? A review and critical evaluation of current classification systems.

PubMed

Waring, R; Knight, R

2013-01-01

Children with speech sound disorders (SSD) form a heterogeneous group who differ in terms of the severity of their condition, underlying cause, speech errors, involvement of other aspects of the linguistic system and treatment response. To date there is no universal and agreed-upon classification system. Instead, a number of theoretically differing classification systems have been proposed based on either an aetiological (medical) approach, a descriptive-linguistic approach or a processing approach. To describe and review the supporting evidence, and to provide a critical evaluation of the current childhood SSD classification systems. Descriptions of the major specific approaches to classification are reviewed and research papers supporting the reliability and validity of the systems are evaluated. Three specific paediatric SSD classification systems; the aetiologic-based Speech Disorders Classification System, the descriptive-linguistic Differential Diagnosis system, and the processing-based Psycholinguistic Framework are identified as potentially useful in classifying children with SSD into homogeneous subgroups. The Differential Diagnosis system has a growing body of empirical support from clinical population studies, across language error pattern studies and treatment efficacy studies. The Speech Disorders Classification System is currently a research tool with eight proposed subgroups. The Psycholinguistic Framework is a potential bridge to linking cause and surface level speech errors. There is a need for a universally agreed-upon classification system that is useful to clinicians and researchers. The resulting classification system needs to be robust, reliable and valid. A universal classification system would allow for improved tailoring of treatments to subgroups of SSD which may, in turn, lead to improved treatment efficacy. © 2012 Royal College of Speech and Language Therapists.

Classification scheme for phenomenological universalities in growth problems in physics and other sciences.

PubMed

Castorina, P; Delsanto, P P; Guiot, C

2006-05-12

A classification in universality classes of broad categories of phenomenologies, belonging to physics and other disciplines, may be very useful for a cross fertilization among them and for the purpose of pattern recognition and interpretation of experimental data. We present here a simple scheme for the classification of nonlinear growth problems. The success of the scheme in predicting and characterizing the well known Gompertz, West, and logistic models, suggests to us the study of a hitherto unexplored class of nonlinear growth problems.

Integrating molecular markers into the World Health Organization classification of CNS tumors: a survey of the neuro-oncology community.

PubMed

Aldape, Kenneth; Nejad, Romina; Louis, David N; Zadeh, Gelareh

2017-03-01

Molecular markers provide important biological and clinical information related to the classification of brain tumors, and the integration of relevant molecular parameters into brain tumor classification systems has been a widely discussed topic in neuro-oncology over the past decade. With recent advances in the development of clinically relevant molecular signatures and the 2016 World Health Organization (WHO) update, the views of the neuro-oncology community on such changes would be informative for implementing this process. A survey with 8 questions regarding molecular markers in tumor classification was sent to an email list of Society for Neuro-Oncology members and attendees of prior meetings (n=5065). There were 403 respondents. Analysis was performed using whole group response, based on self-reported subspecialty. The survey results show overall strong support for incorporating molecular knowledge into the classification and clinical management of brain tumors. Across all 7 subspecialty groups, ≥70% of respondents agreed to this integration. Interestingly, some variability is seen among subspecialties, notably with lowest support from neuropathologists, which may reflect their roles in implementing such diagnostic technologies. Based on a survey provided to the neuro-oncology community, we report strong support for the integration of molecular markers into the WHO classification of brain tumors, as well as for using an integrated "layered" diagnostic format. While membership from each specialty showed support, there was variation by specialty in enthusiasm regarding proposed changes. The initial results of this survey influenced the deliberations underlying the 2016 WHO classification of tumors of the central nervous system. © The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Neuro-Oncology.

Universal etiology, multifactorial diseases and the constitutive model of disease classification.

PubMed

Fuller, Jonathan

2018-02-01

Infectious diseases are often said to have a universal etiology, while chronic and noncommunicable diseases are said to be multifactorial in their etiology. It has been argued that the universal etiology of an infectious disease results from its classification using a monocausal disease model. In this article, I will reconstruct the monocausal model and argue that modern 'multifactorial diseases' are not monocausal by definition. 'Multifactorial diseases' are instead defined according to a constitutive disease model. On closer analysis, infectious diseases are also defined using the constitutive model rather than the monocausal model. As a result, our classification models alone cannot explain why infectious diseases have a universal etiology while chronic and noncommunicable diseases lack one. The explanation is instead provided by the Nineteenth Century germ theorists. Copyright © 2017 Elsevier Ltd. All rights reserved.

A Classification Framework for Exploring Technology-Enabled Practice--Frame TEP

ERIC Educational Resources Information Center

Prestridge, Sarah; de Aldama, Carlos

2016-01-01

This article theorizes the construction of a classification framework to explore teachers' beliefs and pedagogical practices for the use of digital technologies in the classroom. There are currently many individual schemas and models that represent both developmental and divergent concepts associated with technology-enabled practice. This article…

32 CFR 2400.8 - Limitations on delegation of original classification authority.

Code of Federal Regulations, 2014 CFR

2014-07-01

... OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM Original Classification § 2400.8 Limitations on delegation of...

32 CFR 2400.8 - Limitations on delegation of original classification authority.

Code of Federal Regulations, 2010 CFR

2010-07-01

... OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM Original Classification § 2400.8 Limitations on delegation of...

32 CFR 2400.8 - Limitations on delegation of original classification authority.

Code of Federal Regulations, 2012 CFR

2012-07-01

... OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM Original Classification § 2400.8 Limitations on delegation of...

32 CFR 2400.8 - Limitations on delegation of original classification authority.

Code of Federal Regulations, 2013 CFR

2013-07-01

... OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM Original Classification § 2400.8 Limitations on delegation of...

32 CFR 2400.8 - Limitations on delegation of original classification authority.

Code of Federal Regulations, 2011 CFR

2011-07-01

... OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM Original Classification § 2400.8 Limitations on delegation of...

An acoustic energy framework for predicting combustion-driven acoustic instabilities in premixed gas-turbines

NASA Astrophysics Data System (ADS)

Ibrahim, Zuhair M. A.

The purpose of this study was to discover and assess student financial services delivered to students enrolled at East Tennessee State University. The research was undertaken for institutional self-improvement. The research explored changes that have occurred in student financial services in the dynamic higher education market. The research revealed universities pursued best practices for the delivery of student financial services through expanded employee knowledge, restructured organizations, and integrated information technologies. The research was conducted during October and November, 2006. The data were gathered from an online student survey of student financial services. The areas researched included: the Bursar office, the Financial Aid office, and online services. The results of the data analysis revealed problems with the students' perceived quality of existing financial services and the additional services students desire. The research focused on student perceptions of the quality of financial services by age and gender classifications and response categories. Although no statistically significant difference was found between the age-gender classifications on the perception of the quality of the financial services studied, the research adds to our understanding of student financial services at East Tennessee State University. Recommendation for continued research included annual surveys of segmented student populations that include ethnicity, age, gender, and educational level. The research would be used for continuous improvement efforts and student relationship management. Also additional research was recommended for employee learning in relation to the institution's mission, goals, and values.

Hyperspectral Image Classification via Multitask Joint Sparse Representation and Stepwise MRF Optimization.

PubMed

Yuan, Yuan; Lin, Jianzhe; Wang, Qi

2016-12-01

Hyperspectral image (HSI) classification is a crucial issue in remote sensing. Accurate classification benefits a large number of applications such as land use analysis and marine resource utilization. But high data correlation brings difficulty to reliable classification, especially for HSI with abundant spectral information. Furthermore, the traditional methods often fail to well consider the spatial coherency of HSI that also limits the classification performance. To address these inherent obstacles, a novel spectral-spatial classification scheme is proposed in this paper. The proposed method mainly focuses on multitask joint sparse representation (MJSR) and a stepwise Markov random filed framework, which are claimed to be two main contributions in this procedure. First, the MJSR not only reduces the spectral redundancy, but also retains necessary correlation in spectral field during classification. Second, the stepwise optimization further explores the spatial correlation that significantly enhances the classification accuracy and robustness. As far as several universal quality evaluation indexes are concerned, the experimental results on Indian Pines and Pavia University demonstrate the superiority of our method compared with the state-of-the-art competitors.

Four Tiers

ERIC Educational Resources Information Center

Moodie, Gavin

2009-01-01

This paper posits a classification of tertiary education institutions into four tiers: world research universities, selecting universities, recruiting universities, and vocational institutes. The distinguishing characteristic of world research universities is their research strength, the distinguishing characteristic of selecting universities is…

Classification review of dental adhesive systems: from the IV generation to the universal type

PubMed Central

Sofan, Eshrak; Sofan, Afrah; Palaia, Gaspare; Tenore, Gianluca; Romeo, Umberto; Migliau, Guido

2017-01-01

Summary Adhesive dentistry has undergone great progress in the last decades. In light of minimal-invasive dentistry, this new approach promotes a more conservative cavity design, which relies on the effectiveness of current enamel-dentine adhesives. Adhesive dentistry began in 1955 by Buonocore on the benefits of acid etching. With changing technologies, dental adhesives have evolved from no-etch to total-etch (4th and 5th generation) to self-etch (6th, 7th and 8th generation) systems. Currently, bonding to dental substrates is based on three different strategies: 1) etch-and-rinse, 2) self-etch and 3) resin-modified glass-ionomer approach as possessing the unique properties of self-adherence to the tooth tissue. More recently, a new family of dentin adhesives has been introduced (universal or multi-mode adhesives), which may be used either as etch-and-rinse or as self-etch adhesives. The purpose of this article is to review the literature on the current knowledge for each adhesive system according to their classification that have been advocated by many authorities in most operative/restorative procedures. As noted by several valuable studies that have contributed to understanding of bonding to various substrates helps clinicians to choose the appropriate dentin bonding agents for optimal clinical outcomes. PMID:28736601

SCAT Classification of 4 Optical Transients

NASA Astrophysics Data System (ADS)

Tucker, Michael A.; Rowan, Dominick M.; Shappee, Benjamin J.; Dong, Subo; Bose, Subhash; Stanek, K. Z.

2018-06-01

The Spectral Classification of Astronomical Transients (SCAT) survey (ATel #11444) presents the classification of 4 optical transients. We report optical spectroscopy (330-970nm) taken with the University of Hawaii 88-inch (UH88) telescope using the SuperNova Integral Field Spectrograph (SNIFS).

SCAT Classifications of 5 Supernovae with the UH88/SNIFS

NASA Astrophysics Data System (ADS)

Tucker, Michael A.; Huber, Mark; Shappee, Benjamin J.; Dong, Subo; Bose, S.; Chen, Ping

2018-03-01

We present the first classifications from the newly formed Spectral Classification of Astronomical Transients (SCAT) survey. SCAT is a transient identification survey utilizing the SuperNova Integral Field Spectrograph (SNIFS) on the University of Hawaii (UH) 88-inch telescope.

DORS: DDC Online Retrieval System.

ERIC Educational Resources Information Center

Liu, Songqiao; Svenonius, Elaine

1991-01-01

Describes the Dewey Online Retrieval System (DORS), which was developed at the University of California, Los Angeles (UCLA), to experiment with classification-based search strategies in online catalogs. Classification structures in automated information retrieval are discussed; and specifications for a classification retrieval interface are…

Unrealistic phylogenetic trees may improve phylogenetic footprinting.

PubMed

Nettling, Martin; Treutler, Hendrik; Cerquides, Jesus; Grosse, Ivo

2017-06-01

The computational investigation of DNA binding motifs from binding sites is one of the classic tasks in bioinformatics and a prerequisite for understanding gene regulation as a whole. Due to the development of sequencing technologies and the increasing number of available genomes, approaches based on phylogenetic footprinting become increasingly attractive. Phylogenetic footprinting requires phylogenetic trees with attached substitution probabilities for quantifying the evolution of binding sites, but these trees and substitution probabilities are typically not known and cannot be estimated easily. Here, we investigate the influence of phylogenetic trees with different substitution probabilities on the classification performance of phylogenetic footprinting using synthetic and real data. For synthetic data we find that the classification performance is highest when the substitution probability used for phylogenetic footprinting is similar to that used for data generation. For real data, however, we typically find that the classification performance of phylogenetic footprinting surprisingly increases with increasing substitution probabilities and is often highest for unrealistically high substitution probabilities close to one. This finding suggests that choosing realistic model assumptions might not always yield optimal predictions in general and that choosing unrealistically high substitution probabilities close to one might actually improve the classification performance of phylogenetic footprinting. The proposed PF is implemented in JAVA and can be downloaded from https://github.com/mgledi/PhyFoo. : martin.nettling@informatik.uni-halle.de. Supplementary data are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press.

Modelling the Happiness Classification of Addicted, Addiction Risk, Threshold and Non-Addicted Groups on Internet Usage

ERIC Educational Resources Information Center

Sapmaz, Fatma; Totan, Tarik

2018-01-01

The aim of this study is to model the happiness classification of university students--grouped as addicted, addiction risk, threshold and non-addicted to internet usage--with compatibility analysis on a map as happiness, average and unhappiness. The participants in this study were 400 university students from Turkey. According to the results of…

Molecular classification of gastric cancer.

PubMed

Chia, N-Y; Tan, P

2016-05-01

Gastric cancer (GC), a heterogeneous disease characterized by epidemiologic and histopathologic differences across countries, is a leading cause of cancer-related death. Treatment of GC patients is currently suboptimal due to patients being commonly treated in a uniform fashion irrespective of disease subtype. With the advent of next-generation sequencing and other genomic technologies, GCs are now being investigated in great detail at the molecular level. High-throughput technologies now allow a comprehensive study of genomic and epigenomic alterations associated with GC. Gene mutations, chromosomal aberrations, differential gene expression and epigenetic alterations are some of the genetic/epigenetic influences on GC pathogenesis. In addition, integrative analyses of molecular profiling data have led to the identification of key dysregulated pathways and importantly, the establishment of GC molecular classifiers. Recently, The Cancer Genome Atlas (TCGA) network proposed a four subtype classification scheme for GC based on the underlying tumor molecular biology of each subtype. This landmark study, together with other studies, has expanded our understanding on the characteristics of GC at the molecular level. Such knowledge may improve the medical management of GC in the future. © The Author 2016. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

CNN universal machine as classificaton platform: an art-like clustering algorithm.

PubMed

Bálya, David

2003-12-01

Fast and robust classification of feature vectors is a crucial task in a number of real-time systems. A cellular neural/nonlinear network universal machine (CNN-UM) can be very efficient as a feature detector. The next step is to post-process the results for object recognition. This paper shows how a robust classification scheme based on adaptive resonance theory (ART) can be mapped to the CNN-UM. Moreover, this mapping is general enough to include different types of feed-forward neural networks. The designed analogic CNN algorithm is capable of classifying the extracted feature vectors keeping the advantages of the ART networks, such as robust, plastic and fault-tolerant behaviors. An analogic algorithm is presented for unsupervised classification with tunable sensitivity and automatic new class creation. The algorithm is extended for supervised classification. The presented binary feature vector classification is implemented on the existing standard CNN-UM chips for fast classification. The experimental evaluation shows promising performance after 100% accuracy on the training set.

Developing the FARSEEING Taxonomy of Technologies: Classification and description of technology use (including ICT) in falls prevention studies.

PubMed

Boulton, Elisabeth; Hawley-Hague, Helen; Vereijken, Beatrix; Clifford, Amanda; Guldemond, Nick; Pfeiffer, Klaus; Hall, Alex; Chesani, Federico; Mellone, Sabato; Bourke, Alan; Todd, Chris

2016-06-01

Recent Cochrane reviews on falls and fall prevention have shown that it is possible to prevent falls in older adults living in the community and in care facilities. Technologies aimed at fall detection, assessment, prediction and prevention are emerging, yet there has been no consistency in describing or reporting on interventions using technologies. With the growth of eHealth and data driven interventions, a common language and classification is required. The FARSEEING Taxonomy of Technologies was developed as a tool for those in the field of biomedical informatics to classify and characterise components of studies and interventions. The Taxonomy Development Group (TDG) comprised experts from across Europe. Through face-to-face meetings and contributions via email, five domains were developed, modified and agreed: Approach; Base; Components of outcome measures; Descriptors of technologies; and Evaluation. Each domain included sub-domains and categories with accompanying definitions. The classification system was tested against published papers and further amendments undertaken, including development of an online tool. Six papers were classified by the TDG with levels of consensus recorded. Testing the taxonomy with papers highlighted difficulties in definitions across international healthcare systems, together with differences of TDG members' backgrounds. Definitions were clarified and amended accordingly, but some difficulties remained. The taxonomy and manual were large documents leading to a lengthy classification process. The development of the online application enabled a much simpler classification process, as categories and definitions appeared only when relevant. Overall consensus for the classified papers was 70.66%. Consensus scores increased as modifications were made to the taxonomy. The FARSEEING Taxonomy of Technologies presents a common language, which should now be adopted in the field of biomedical informatics. In developing the taxonomy as an online tool, it has become possible to continue to develop and modify the classification system to incorporate new technologies and interventions. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

An analysis of metropolitan land-use by machine processing of earth resources technology satellite data

NASA Technical Reports Server (NTRS)

Mausel, P. W.; Todd, W. J.; Baumgardner, M. F.

1976-01-01

A successful application of state-of-the-art remote sensing technology in classifying an urban area into its broad land use classes is reported. This research proves that numerous urban features are amenable to classification using ERTS multispectral data automatically processed by computer. Furthermore, such automatic data processing (ADP) techniques permit areal analysis on an unprecedented scale with a minimum expenditure of time. Also, classification results obtained using ADP procedures are consistent, comparable, and replicable. The results of classification are compared with the proposed U. S. G. S. land use classification system in order to determine the level of classification that is feasible to obtain through ERTS analysis of metropolitan areas.

ASIST SIG/CR Classification Workshop 2000: Classification for User Support and Learning.

ERIC Educational Resources Information Center

Soergel, Dagobert

2001-01-01

Reports on papers presented at the 62nd Annual Meeting of ASIST (American Society for Information Science and Technology) for the Special Interest Group in Classification Research (SIG/CR). Topics include types of knowledge; developing user-oriented classifications, including domain analysis; classification in the user interface; and automatic…

The extraction of bitumen from western oil sands. Annual report, July 1991--July 1992

DOE Office of Scientific and Technical Information (OSTI.GOV)

Oblad, A.G.; Bunger, J.W.; Dahlstrom, D.A.

1992-08-01

The University of Utah tar sand research and development program is concerned with research and development on Utah is extensive oil sands deposits. The program has been intended to develop a scientific and technological base required for eventual commercial recovery of the heavy oils from oil sands and processing these oils to produce synthetic crude oil and other products such as asphalt. The overall program is based on mining the oil sand, processing the mined sand to recover the heavy oils and upgrading them to products. Multiple deposits are being investigated since it is believed that a large scale (approximatelymore » 20,000 bbl/day) plant would require the use of resources from more than one deposit. The tasks or projects in the program are organized according to the following classification: Recovery technologies which includes thermal recovery methods, water extraction methods, and solvent extraction methods; upgrading and processing technologies which covers hydrotreating, hydrocracking, and hydropyrolysis; solvent extraction; production of specialty products; and environmental aspects of the production and processing technologies. These tasks are covered in this report.« less

World Reference Base | FAO SOILS PORTAL | Food and Agriculture

Science.gov Websites

> Soil classification > World Reference Base FAO SOILS PORTAL Survey Assessment Biodiversity Management Degradation/Restoration Policies/Governance Publications Soil properties Soil classification World Reference Base FAO legend USDA soil taxonomy Universal soil classification National Systems Numerical

Enriching User-Oriented Class Associations for Library Classification Schemes.

ERIC Educational Resources Information Center

Pu, Hsiao-Tieh; Yang, Chyan

2003-01-01

Explores the possibility of adding user-oriented class associations to hierarchical library classification schemes. Analyses a log of book circulation records from a university library in Taiwan and shows that classification schemes can be made more adaptable by analyzing circulation patterns of similar users. (Author/LRW)

Reclassification: Rationale and Problems; Proceedings of a Conference on Reclassification held at the Center of Adult Education, University of Maryland, College Park, April 4 to 6, 1968.

ERIC Educational Resources Information Center

Perreault, Jean M., Ed.

Several factors are involved in the decision to reclassify library collections and several problems and choices must be faced. The discussion of four classification schemes (Dewey Decimal, Library of Congress, Library of Congress subject-headings and Universal Decimal Classification) involved in the choices concerns their structure, currency,…

The Use of Multilevel Modeling to Estimate Which Measures Are Most Influential in Determining an Institution's Placement in Carnegie's New Doctoral/Research University Classification Schema

ERIC Educational Resources Information Center

Micceri, Theodore

2007-01-01

This research sought to determine whether any measure(s) used in the Carnegie Foundation's classification of Doctoral/Research Universities contribute to a greater degree than other measures to final rank placement. Multilevel Modeling (MLM) was applied to all eight of the Carnegie Foundation's predictor measures using final rank…

Scanning the Heavens

NASA Astrophysics Data System (ADS)

Hayes, Brian

1994-12-01

Gleaning further clues to the structure of the universe will require larger data samples. To that end, a major new survey of the skies called the Sloan Digital Star Survey (SDSS), is in preparation. It will catalog some 50 million galaxies and about 70 million stars. A new 2.5 meter telescope to be erected at Apache Point Observatory in New Mexico will be dedicated to the survey. The telescope is not the key innovation that will make the survey possible. The crucial factor is the technology for digitally recording large numbers of images and spectra and for automating the analysis, recognition, and classification of those images and spectra. The methods to be used are discussed.

Real-time adaptive off-road vehicle navigation and terrain classification

NASA Astrophysics Data System (ADS)

Muller, Urs A.; Jackel, Lawrence D.; LeCun, Yann; Flepp, Beat

2013-05-01

We are developing a complete, self-contained autonomous navigation system for mobile robots that learns quickly, uses commodity components, and has the added benefit of emitting no radiation signature. It builds on the au­tonomous navigation technology developed by Net-Scale and New York University during the Defense Advanced Research Projects Agency (DARPA) Learning Applied to Ground Robots (LAGR) program and takes advantage of recent scientific advancements achieved during the DARPA Deep Learning program. In this paper we will present our approach and algorithms, show results from our vision system, discuss lessons learned from the past, and present our plans for further advancing vehicle autonomy.

Screening and classification of ceramic powders

NASA Technical Reports Server (NTRS)

Miwa, S.

1983-01-01

A summary is given of the classification technology of ceramic powders. Advantages and disadvantages of the wet and dry screening and classification methods are discussed. Improvements of wind force screening devices are described.

Land Type Associations Conference: Summary Comments

Treesearch

Thomas R. Crow

2002-01-01

Holding a conference on Landtype Associations in Madison seems appropriate given the amount of research and application on ecological classification that has taken place here and elsewhere within the region. In fact, a previous conference held at the University of Wisconsin, Madison, in March 1984 on ecosystem classification entitled "Forest Land Classifications:...

Classification and Framing in the Case Method: Discussion Leaders' Questions

ERIC Educational Resources Information Center

Badger, James

2010-01-01

Basil Bernstein's classification and framing was adopted as a theoretical model to analyse the instruction of two university professors who incorporated case studies into their graduate business and education courses. Classification and framing allows for a meaningful analysis of the discussion leader's questions that facilitate students'…

Drug-induced sedation endoscopy (DISE) classification systems: a systematic review and meta-analysis.

PubMed

Dijemeni, Esuabom; D'Amone, Gabriele; Gbati, Israel

2017-12-01

Drug-induced sedation endoscopy (DISE) classification systems have been used to assess anatomical findings on upper airway obstruction, and decide and plan surgical treatments and act as a predictor for surgical treatment outcome for obstructive sleep apnoea management. The first objective is to identify if there is a universally accepted DISE grading and classification system for analysing DISE findings. The second objective is to identify if there is one DISE grading and classification treatment planning framework for deciding appropriate surgical treatment for obstructive sleep apnoea (OSA). The third objective is to identify if there is one DISE grading and classification treatment outcome framework for determining the likelihood of success for a given OSA surgical intervention. A systematic review was performed to identify new and significantly modified DISE classification systems: concept, advantages and disadvantages. Fourteen studies proposing a new DISE classification system and three studies proposing a significantly modified DISE classification were identified. None of the studies were based on randomised control trials. DISE is an objective method for visualising upper airway obstruction. The classification and assessment of clinical findings based on DISE is highly subjective due to the increasing number of DISE classification systems. Hence, this creates a growing divergence in surgical treatment planning and treatment outcome. Further research on a universally accepted objective DISE assessment is critically needed.

32 CFR 2400.13 - Limitations on classification.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 6 2013-07-01 2013-07-01 false Limitations on classification. 2400.13 Section 2400.13 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.6 - Classification levels.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 6 2013-07-01 2013-07-01 false Classification levels. 2400.6 Section 2400.6 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM...

32 CFR 2400.15 - Classification guides.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 6 2012-07-01 2012-07-01 false Classification guides. 2400.15 Section 2400.15 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM...

32 CFR 2400.6 - Classification levels.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 6 2010-07-01 2010-07-01 false Classification levels. 2400.6 Section 2400.6 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM...

32 CFR 2400.7 - Original classification authority.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 6 2010-07-01 2010-07-01 false Original classification authority. 2400.7 Section 2400.7 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.34 - Classification.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 6 2013-07-01 2013-07-01 false Classification. 2400.34 Section 2400.34 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM Foreign...

32 CFR 2400.16 - Derivative classification markings.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 6 2010-07-01 2010-07-01 false Derivative classification markings. 2400.16 Section 2400.16 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.16 - Derivative classification markings.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 6 2013-07-01 2013-07-01 false Derivative classification markings. 2400.16 Section 2400.16 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.7 - Original classification authority.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 6 2012-07-01 2012-07-01 false Original classification authority. 2400.7 Section 2400.7 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.16 - Derivative classification markings.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 6 2011-07-01 2011-07-01 false Derivative classification markings. 2400.16 Section 2400.16 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.34 - Classification.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 6 2011-07-01 2011-07-01 false Classification. 2400.34 Section 2400.34 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM Foreign...

32 CFR 2400.13 - Limitations on classification.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 6 2014-07-01 2014-07-01 false Limitations on classification. 2400.13 Section 2400.13 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.34 - Classification.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 6 2012-07-01 2012-07-01 false Classification. 2400.34 Section 2400.34 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM Foreign...

32 CFR 2400.6 - Classification levels.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 6 2014-07-01 2014-07-01 false Classification levels. 2400.6 Section 2400.6 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM...

32 CFR 2400.15 - Classification guides.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 6 2010-07-01 2010-07-01 false Classification guides. 2400.15 Section 2400.15 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM...

32 CFR 2400.13 - Limitations on classification.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 6 2010-07-01 2010-07-01 false Limitations on classification. 2400.13 Section 2400.13 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.13 - Limitations on classification.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 6 2012-07-01 2012-07-01 false Limitations on classification. 2400.13 Section 2400.13 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.34 - Classification.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 6 2014-07-01 2014-07-01 false Classification. 2400.34 Section 2400.34 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM Foreign...

32 CFR 2400.15 - Classification guides.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 6 2011-07-01 2011-07-01 false Classification guides. 2400.15 Section 2400.15 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM...

32 CFR 2400.13 - Limitations on classification.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 6 2011-07-01 2011-07-01 false Limitations on classification. 2400.13 Section 2400.13 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.15 - Classification guides.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 6 2014-07-01 2014-07-01 false Classification guides. 2400.15 Section 2400.15 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM...

32 CFR 2400.6 - Classification levels.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 6 2011-07-01 2011-07-01 false Classification levels. 2400.6 Section 2400.6 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM...

32 CFR 2400.16 - Derivative classification markings.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 6 2012-07-01 2012-07-01 false Derivative classification markings. 2400.16 Section 2400.16 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.16 - Derivative classification markings.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 6 2014-07-01 2014-07-01 false Derivative classification markings. 2400.16 Section 2400.16 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.7 - Original classification authority.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 6 2011-07-01 2011-07-01 false Original classification authority. 2400.7 Section 2400.7 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.7 - Original classification authority.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 6 2014-07-01 2014-07-01 false Original classification authority. 2400.7 Section 2400.7 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.7 - Original classification authority.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 6 2013-07-01 2013-07-01 false Original classification authority. 2400.7 Section 2400.7 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.6 - Classification levels.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 6 2012-07-01 2012-07-01 false Classification levels. 2400.6 Section 2400.6 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM...

32 CFR 2400.15 - Classification guides.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 6 2013-07-01 2013-07-01 false Classification guides. 2400.15 Section 2400.15 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM...

32 CFR 2400.34 - Classification.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 6 2010-07-01 2010-07-01 false Classification. 2400.34 Section 2400.34 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY PROGRAM Foreign...

Finding stability regions for preserving efficiency classification of variable returns to scale technology in data envelopment analysis

NASA Astrophysics Data System (ADS)

Zamani, P.; Borzouei, M.

2016-12-01

This paper addresses issue of sensitivity of efficiency classification of variable returns to scale (VRS) technology for enhancing the credibility of data envelopment analysis (DEA) results in practical applications when an additional decision making unit (DMU) needs to be added to the set being considered. It also develops a structured approach to assisting practitioners in making an appropriate selection of variation range for inputs and outputs of additional DMU so that this DMU be efficient and the efficiency classification of VRS technology remains unchanged. This stability region is simply specified by the concept of defining hyperplanes of production possibility set of VRS technology and the corresponding halfspaces. Furthermore, this study determines a stability region for the additional DMU within which, in addition to efficiency classification, the efficiency score of a specific inefficient DMU is preserved and also using a simulation method, a region in which some specific efficient DMUs become inefficient is provided.

The Rankings of Research Funding among Universities in Taiwan

ERIC Educational Resources Information Center

Wang, Ru-Jer

2010-01-01

With the current trend that universities around the world have gradually stepped into higher education systems of popularization, there has been more diversity in universities; hence it has become necessary to increase the transparency of university governance. Since that university classification or university ranking is a powerful mechanism to…

Malware distributed collection and pre-classification system using honeypot technology

NASA Astrophysics Data System (ADS)

Grégio, André R. A.; Oliveira, Isabela L.; Santos, Rafael D. C.; Cansian, Adriano M.; de Geus, Paulo L.

2009-04-01

Malware has become a major threat in the last years due to the ease of spread through the Internet. Malware detection has become difficult with the use of compression, polymorphic methods and techniques to detect and disable security software. Those and other obfuscation techniques pose a problem for detection and classification schemes that analyze malware behavior. In this paper we propose a distributed architecture to improve malware collection using different honeypot technologies to increase the variety of malware collected. We also present a daemon tool developed to grab malware distributed through spam and a pre-classification technique that uses antivirus technology to separate malware in generic classes.

32 CFR 2400.27 - Storage of classification information.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 6 2010-07-01 2010-07-01 false Storage of classification information. 2400.27 Section 2400.27 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.35 - Duration of classification.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 6 2010-07-01 2010-07-01 false Duration of classification. 2400.35 Section 2400.35 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY...

32 CFR 2400.14 - Use of derivative classification.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 6 2011-07-01 2011-07-01 false Use of derivative classification. 2400.14 Section 2400.14 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.11 - Duration of classification.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 6 2010-07-01 2010-07-01 false Duration of classification. 2400.11 Section 2400.11 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY...

32 CFR 2400.11 - Duration of classification.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 6 2012-07-01 2012-07-01 false Duration of classification. 2400.11 Section 2400.11 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY...

32 CFR 2400.35 - Duration of classification.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 6 2012-07-01 2012-07-01 false Duration of classification. 2400.35 Section 2400.35 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY...

32 CFR 2400.35 - Duration of classification.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 6 2013-07-01 2013-07-01 false Duration of classification. 2400.35 Section 2400.35 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY...

32 CFR 2400.27 - Storage of classification information.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 6 2011-07-01 2011-07-01 false Storage of classification information. 2400.27 Section 2400.27 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.11 - Duration of classification.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 6 2013-07-01 2013-07-01 false Duration of classification. 2400.11 Section 2400.11 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY...

32 CFR 2400.35 - Duration of classification.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 6 2014-07-01 2014-07-01 false Duration of classification. 2400.35 Section 2400.35 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY...

32 CFR 2400.14 - Use of derivative classification.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 6 2012-07-01 2012-07-01 false Use of derivative classification. 2400.14 Section 2400.14 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.11 - Duration of classification.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 6 2014-07-01 2014-07-01 false Duration of classification. 2400.11 Section 2400.11 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY...

32 CFR 2400.27 - Storage of classification information.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 6 2012-07-01 2012-07-01 false Storage of classification information. 2400.27 Section 2400.27 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.27 - Storage of classification information.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 6 2013-07-01 2013-07-01 false Storage of classification information. 2400.27 Section 2400.27 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.27 - Storage of classification information.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 6 2014-07-01 2014-07-01 false Storage of classification information. 2400.27 Section 2400.27 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.14 - Use of derivative classification.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 6 2013-07-01 2013-07-01 false Use of derivative classification. 2400.14 Section 2400.14 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.14 - Use of derivative classification.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 6 2010-07-01 2010-07-01 false Use of derivative classification. 2400.14 Section 2400.14 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.35 - Duration of classification.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 6 2011-07-01 2011-07-01 false Duration of classification. 2400.35 Section 2400.35 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY...

32 CFR 2400.14 - Use of derivative classification.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 32 National Defense 6 2014-07-01 2014-07-01 false Use of derivative classification. 2400.14 Section 2400.14 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION...

32 CFR 2400.11 - Duration of classification.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 6 2011-07-01 2011-07-01 false Duration of classification. 2400.11 Section 2400.11 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY...

Approaches to Program Accounting for Public Schools. Presentations and Discussions of the National Conference on Program Accounting for Public Schools (University of California, Los Angeles, July 1968).

ERIC Educational Resources Information Center

Lindman, Erick L., Ed.

This volume contains papers presented at The National Conference on Program Accounting for Public Schools held at The University of California at Los Angeles, in July 1968. The papers describe six public school expenditure classification systems designed to facilitate program budgeting and cost analysis. The account classification systems are…

Draper Laboratory small autonomous aerial vehicle

NASA Astrophysics Data System (ADS)

DeBitetto, Paul A.; Johnson, Eric N.; Bosse, Michael C.; Trott, Christian A.

1997-06-01

The Charles Stark Draper Laboratory, Inc. and students from Massachusetts Institute of Technology and Boston University have cooperated to develop an autonomous aerial vehicle that won the 1996 International Aerial Robotics Competition. This paper describes the approach, system architecture and subsystem designs for the entry. This entry represents a combination of many technology areas: navigation, guidance, control, vision processing, human factors, packaging, power, real-time software, and others. The aerial vehicle, an autonomous helicopter, performs navigation and control functions using multiple sensors: differential GPS, inertial measurement unit, sonar altimeter, and a flux compass. The aerial transmits video imagery to the ground. A ground based vision processor converts the image data into target position and classification estimates. The system was designed, built, and flown in less than one year and has provided many lessons about autonomous vehicle systems, several of which are discussed. In an appendix, our current research in augmenting the navigation system with vision- based estimates is presented.

The Carnegie Classification of Institutions of Higher Education. 2000 Edition. A Technical Report.

ERIC Educational Resources Information Center

Carnegie Foundation for the Advancement of Teaching, Menlo Park, CA.

The Carnegie Classification of Institutions of Higher Education is the framework in which institutional diversity in United States higher education is commonly described. Developed in 1971, the Classification was designed to support research in higher education by identifying categories of colleges and universities that would be homogeneous with…

The Digital Workforce: Update, August 2000 [and] The Digital Work Force: State Data & Rankings, September 2000.

ERIC Educational Resources Information Center

Sargent, John

The Office of Technology Policy analyzed Bureau of Labor Statistics' growth projections for the core occupational classifications of IT (information technology) workers to assess future demand in the United States. Classifications studied were computer engineers, systems analysts, computer programmers, database administrators, computer support…

Railroad Classification Yard Technology : An Introductory Analysis of Functions and Operations

DOT National Transportation Integrated Search

1975-05-01

A review of the basic operating characteristics and functions of railroad classification yards is presented. Introductory descriptions of terms, concepts, and problems of railroad operations involving classification yards are included in an attempt t...

Classification of Dual-Wavelength Airborne Laser Scanning Point Cloud Based on the Radiometric Properties of the Objects

NASA Astrophysics Data System (ADS)

Pilarska, M.

2018-05-01

Airborne laser scanning (ALS) is a well-known and willingly used technology. One of the advantages of this technology is primarily its fast and accurate data registration. In recent years ALS is continuously developed. One of the latest achievements is multispectral ALS, which consists in obtaining simultaneously the data in more than one laser wavelength. In this article the results of the dual-wavelength ALS data classification are presented. The data were acquired with RIEGL VQ-1560i sensor, which is equipped with two laser scanners operating in different wavelengths: 532 nm and 1064 nm. Two classification approaches are presented in the article: classification, which is based on geometric relationships between points and classification, which mostly relies on the radiometric properties of registered objects. The overall accuracy of the geometric classification was 86 %, whereas for the radiometric classification it was 81 %. As a result, it can be assumed that the radiometric features which are provided by the multispectral ALS have potential to be successfully used in ALS point cloud classification.

10 CFR 1045.17 - Classification levels.

Code of Federal Regulations, 2014 CFR

2014-01-01

... classification include detailed technical descriptions of critical features of a nuclear explosive design that... classification include designs for specific weapon components (not revealing critical features), key features of uranium enrichment technologies, or specifications of weapon materials. (3) Confidential. The Director of...

10 CFR 1045.17 - Classification levels.

Code of Federal Regulations, 2013 CFR

2013-01-01

... classification include detailed technical descriptions of critical features of a nuclear explosive design that... classification include designs for specific weapon components (not revealing critical features), key features of uranium enrichment technologies, or specifications of weapon materials. (3) Confidential. The Director of...

10 CFR 1045.17 - Classification levels.

Code of Federal Regulations, 2011 CFR

2011-01-01

... classification include detailed technical descriptions of critical features of a nuclear explosive design that... classification include designs for specific weapon components (not revealing critical features), key features of uranium enrichment technologies, or specifications of weapon materials. (3) Confidential. The Director of...

10 CFR 1045.17 - Classification levels.

Code of Federal Regulations, 2012 CFR

2012-01-01

... classification include detailed technical descriptions of critical features of a nuclear explosive design that... classification include designs for specific weapon components (not revealing critical features), key features of uranium enrichment technologies, or specifications of weapon materials. (3) Confidential. The Director of...

Increasing accuracy of vehicle detection from conventional vehicle detectors - counts, speeds, classification, and travel time.

DOT National Transportation Integrated Search

2014-09-01

Vehicle classification is an important traffic parameter for transportation planning and infrastructure : management. Length-based vehicle classification from dual loop detectors is among the lowest cost : technologies commonly used for collecting th...

Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety.

PubMed

Leydesdorff, Loet

In a previous study of patent classifications in nine material technologies for photovoltaic cells, Leydesdorff et al. (Scientometrics 102(1):629-651, 2015) reported cyclical patterns in the longitudinal development of Rao-Stirling diversity. We suggested that these cyclical patterns can be used to indicate technological life-cycles. Upon decomposition, however, the cycles are exclusively due to increases and decreases in the variety of the classifications, and not to disparity or technological distance, measured as (1 -  cosine ). A single frequency component can accordingly be shown in the periodogram. Furthermore, the cyclical patterns are associated with the numbers of inventors in the respective technologies. Sometimes increased variety leads to a boost in the number of inventors, but in early phases-when the technology is still under construction-it can also be the other way round. Since the development of the cycles thus seems independent of technological distances among the patents, the visualization in terms of patent maps, can be considered as addressing an analytically different set of research questions.

Are distal radius fracture classifications reproducible? Intra and interobserver agreement.

PubMed

Belloti, João Carlos; Tamaoki, Marcel Jun Sugawara; Franciozi, Carlos Eduardo da Silveira; Santos, João Baptista Gomes dos; Balbachevsky, Daniel; Chap Chap, Eduardo; Albertoni, Walter Manna; Faloppa, Flávio

2008-05-01

Various classification systems have been proposed for fractures of the distal radius, but the reliability of these classifications is seldom addressed. For a fracture classification to be useful, it must provide prognostic significance, interobserver reliability and intraobserver reproducibility. The aim here was to evaluate the intraobserver and interobserver agreement of distal radius fracture classifications. This was a validation study on interobserver and intraobserver reliability. It was developed in the Department of Orthopedics and Traumatology, Universidade Federal de São Paulo - Escola Paulista de Medicina. X-rays from 98 cases of displaced distal radius fracture were evaluated by five observers: one third-year orthopedic resident (R3), one sixth-year undergraduate medical student (UG6), one radiologist physician (XRP), one orthopedic trauma specialist (OT) and one orthopedic hand surgery specialist (OHS). The radiographs were classified on three different occasions (times T1, T2 and T3) using the Universal (Cooney), Arbeitsgemeinschaft für Osteosynthesefragen/Association for the Study of Internal Fixation (AO/ASIF), Frykman and Fernández classifications. The kappa coefficient (kappa) was applied to assess the degree of agreement. Among the three occasions, the highest mean intraobserver k was observed in the Universal classification (0.61), followed by Fernández (0.59), Frykman (0.55) and AO/ASIF (0.49). The interobserver agreement was unsatisfactory in all classifications. The Fernández classification showed the best agreement (0.44) and the worst was the Frykman classification (0.26). The low agreement levels observed in this study suggest that there is still no classification method with high reproducibility.

Teaching Classification To Fit a Modern and Sustainable LIS Curriculum: The Case of Croatia.

ERIC Educational Resources Information Center

Slavic, Aida

Library classification at the Croatian library school of the Department of Information Sciences, University of Zagreb (Croatia) has an important place in the department's curriculum. This is due to the fact that classification is the most important indexing language in Croatian libraries and documentation centers and services, and its role has not…

Categorization in the wild.

PubMed

Glushko, Robert J; Maglio, Paul P; Matlock, Teenie; Barsalou, Lawrence W

2008-04-01

In studying categorization, cognitive science has focused primarily on cultural categorization, ignoring individual and institutional categorization. Because recent technological developments have made individual and institutional classification systems much more available and powerful, our understanding of the cognitive and social mechanisms that produce these systems is increasingly important. Furthermore, key aspects of categorization that have received little previous attention emerge from considering diverse types of categorization together, such as the social factors that create stability in classification systems, and the interoperability that shared conceptual systems establish between agents. Finally, the profound impact of recent technological developments on classification systems indicates that basic categorization mechanisms are highly adaptive, producing new classification systems as the situations in which they operate change.

[Advance in interferogram data processing technique].

PubMed

Jing, Juan-Juan; Xiangli, Bin; Lü, Qun-Bo; Huang, Min; Zhou, Jin-Song

2011-04-01

Fourier transform spectrometry is a type of novel information obtaining technology, which integrated the functions of imaging and spectra, but the data that the instrument acquired is the interference data of the target, which is an intermediate data and couldn't be used directly, so data processing must be adopted for the successful application of the interferometric data In the present paper, data processing techniques are divided into two classes: general-purpose and special-type. First, the advance in universal interferometric data processing technique is introduced, then the special-type interferometric data extracting method and data processing technique is illustrated according to the classification of Fourier transform spectroscopy. Finally, the trends of interferogram data processing technique are discussed.

Short-read, high-throughput sequencing technology for STR genotyping

PubMed Central

Bornman, Daniel M.; Hester, Mark E.; Schuetter, Jared M.; Kasoji, Manjula D.; Minard-Smith, Angela; Barden, Curt A.; Nelson, Scott C.; Godbold, Gene D.; Baker, Christine H.; Yang, Boyu; Walther, Jacquelyn E.; Tornes, Ivan E.; Yan, Pearlly S.; Rodriguez, Benjamin; Bundschuh, Ralf; Dickens, Michael L.; Young, Brian A.; Faith, Seth A.

2013-01-01

DNA-based methods for human identification principally rely upon genotyping of short tandem repeat (STR) loci. Electrophoretic-based techniques for variable-length classification of STRs are universally utilized, but are limited in that they have relatively low throughput and do not yield nucleotide sequence information. High-throughput sequencing technology may provide a more powerful instrument for human identification, but is not currently validated for forensic casework. Here, we present a systematic method to perform high-throughput genotyping analysis of the Combined DNA Index System (CODIS) STR loci using short-read (150 bp) massively parallel sequencing technology. Open source reference alignment tools were optimized to evaluate PCR-amplified STR loci using a custom designed STR genome reference. Evaluation of this approach demonstrated that the 13 CODIS STR loci and amelogenin (AMEL) locus could be accurately called from individual and mixture samples. Sensitivity analysis showed that as few as 18,500 reads, aligned to an in silico referenced genome, were required to genotype an individual (>99% confidence) for the CODIS loci. The power of this technology was further demonstrated by identification of variant alleles containing single nucleotide polymorphisms (SNPs) and the development of quantitative measurements (reads) for resolving mixed samples. PMID:25621315

Classification via Clustering for Predicting Final Marks Based on Student Participation in Forums

ERIC Educational Resources Information Center

Lopez, M. I.; Luna, J. M.; Romero, C.; Ventura, S.

2012-01-01

This paper proposes a classification via clustering approach to predict the final marks in a university course on the basis of forum data. The objective is twofold: to determine if student participation in the course forum can be a good predictor of the final marks for the course and to examine whether the proposed classification via clustering…

The Exploring Nature of Definitions and Classifications of Language Learning Strategies (LLSs) in the Current Studies of Second/Foreign Language Learning

ERIC Educational Resources Information Center

Fazeli, Seyed Hossein

2011-01-01

This study aims to explore the nature of definitions and classifications of Language Learning Strategies (LLSs) in the current studies of second/foreign language learning in order to show the current problems regarding such definitions and classifications. The present study shows that there is not a universal agreeable definition and…

An automatic agricultural zone classification procedure for crop inventory satellite images

NASA Technical Reports Server (NTRS)

Parada, N. D. J. (Principal Investigator); Kux, H. J.; Velasco, F. R. D.; Deoliveira, M. O. B.

1982-01-01

A classification procedure for assessing crop areal proportion in multispectral scanner image is discussed. The procedure is into four parts: labeling; classification; proportion estimation; and evaluation. The procedure also has the following characteristics: multitemporal classification; the need for a minimum field information; and verification capability between automatic classification and analyst labeling. The processing steps and the main algorithms involved are discussed. An outlook on the future of this technology is also presented.

A Design-Aid and Cost Estimate Model for Suppressive Shielding Structures

DTIC Science & Technology

1975-12-01

Final Report APPROVED FOR PUBLIC RELEASE: DISTRIBUTION UNLIM4ITED Prepared for SAFETY ENGINEERING GRADUATE PROGRAM AND TEXAS A&1-., UNIVERSITY USAVC...Coinryuter Science Department, Texas A&1.! ’ University . 19. KEY dVOIRS (Continue an rcverse siJ~e it necessary mind lde.ifily by block lumber...1473 EDITION OF T NOV 65 IS 005OLETE SE.CURITY CLASSIFICATION OF TkIS PACE (Whtin Pa&121. ~t. SECUnITY CLASSIFICATION OF THIS PAGE(W4uio DOl’ Enteted

Phylogenetic classification and the universal tree.

PubMed

Doolittle, W F

1999-06-25

From comparative analyses of the nucleotide sequences of genes encoding ribosomal RNAs and several proteins, molecular phylogeneticists have constructed a "universal tree of life," taking it as the basis for a "natural" hierarchical classification of all living things. Although confidence in some of the tree's early branches has recently been shaken, new approaches could still resolve many methodological uncertainties. More challenging is evidence that most archaeal and bacterial genomes (and the inferred ancestral eukaryotic nuclear genome) contain genes from multiple sources. If "chimerism" or "lateral gene transfer" cannot be dismissed as trivial in extent or limited to special categories of genes, then no hierarchical universal classification can be taken as natural. Molecular phylogeneticists will have failed to find the "true tree," not because their methods are inadequate or because they have chosen the wrong genes, but because the history of life cannot properly be represented as a tree. However, taxonomies based on molecular sequences will remain indispensable, and understanding of the evolutionary process will ultimately be enriched, not impoverished.

Applying graphics user interface ot group technology classification and coding at the Boeing aerospace company

NASA Astrophysics Data System (ADS)

Ness, P. H.; Jacobson, H.

1984-10-01

The thrust of 'group technology' is toward the exploitation of similarities in component design and manufacturing process plans to achieve assembly line flow cost efficiencies for small batch production. The systematic method devised for the identification of similarities in component geometry and processing steps is a coding and classification scheme implemented by interactive CAD/CAM systems. This coding and classification scheme has led to significant increases in computer processing power, allowing rapid searches and retrievals on the basis of a 30-digit code together with user-friendly computer graphics.

Crop identification technology assessment for remote sensing (CITARS). Volume 6: Data processing at the laboratory for applications of remote sensing

NASA Technical Reports Server (NTRS)

Bauer, M. E.; Cary, T. K.; Davis, B. J.; Swain, P. H.

1975-01-01

The results of classifications and experiments for the crop identification technology assessment for remote sensing are summarized. Using two analysis procedures, 15 data sets were classified. One procedure used class weights while the other assumed equal probabilities of occurrence for all classes. Additionally, 20 data sets were classified using training statistics from another segment or date. The classification and proportion estimation results of the local and nonlocal classifications are reported. Data also describe several other experiments to provide additional understanding of the results of the crop identification technology assessment for remote sensing. These experiments investigated alternative analysis procedures, training set selection and size, effects of multitemporal registration, spectral discriminability of corn, soybeans, and other, and analyses of aircraft multispectral data.

Classification System and Information Services in the Library of SAO RAS

NASA Astrophysics Data System (ADS)

Shvedova, G. S.

The classification system used at SAO RAS is described. It includes both special determinants from UDC (Universal Decimal Classification) and newer tables with astronomical terms from the Library-Bibliographical Classification (LBC). The classification tables are continually modified, and new astronomical terms are introduced. At the present time the information services of the scientists is fulfilled with the help of the Abstract Journal Astronomy, Astronomy and Astrophysics Abstracts, catalogues and card indexes of the library. Based on our classification system and The Astronomy Thesaurus completed by R.M. Shobbrook and R.R. Shobbrook the development of a database for the library has been started, which allows prompt service of the observatory's staff members.

Women as University Presidents: Navigating the Administrative Labyrinth

ERIC Educational Resources Information Center

Reis, Tania Carlson; Grady, Marilyn L.

2018-01-01

Eleven of the 81 public research universities within the Carnegie Classification of Doctoral Universities: Highest Research are led by woman presidents. Using Eagly & Carli's (2007) labyrinth framework, five of the women presidents were interviewed to identify their experiences navigating leadership barriers. Findings indicated that women…

Automated Detection and Classification in High-Resolution Sonar Imagery for Autonomous Underwater Vehicle Operations

DTIC Science & Technology

2008-12-01

n. , ’>, ,. Australian Government Department of Defence Defence Science and Technology Organisation Automated Detection and Classification in... Organisation DSTO-GD-0537 ABSTRACT Autonomous Underwater Vehicles (AUVs) are increasingly being used by military forces to acquire high-resolution sonar...release Published by Maritime Operations Division DsTO Defrnce sdence and Technology Organisation PO Box 1500 Edinburgh South Australia 5111 Australia

Program for Critical Technologies in Breast Oncology

DTIC Science & Technology

1999-07-01

the tissues, and in a ethical manner that respects the patients’ rights . The Program for Critical Technologies in Breast Oncology helps address all of...diagnosis, database 15. NUMBER OF PAGES 148 16. PRICE CODE 17. SECURITY CLASSIFICATION OF REPORT Unclassified 18. SECURITY CLASSIFICATION OF THIS...closer to clinical utility. Page 17 References Adida C. Crotty PL. McGrath J. Berrebi D. Diebold J. Altieri DC. Developmentally regulated

Service and Reputation: An Examination of the Growth in Graduate Education at Public Master's Universities

ERIC Educational Resources Information Center

Kinne-Clawson, Alicia M.

2017-01-01

Public Master's granting universities have long been viewed as a sector "caught in the middle" between their much more prestigious research university counterparts and the more numerous community colleges. The little research that exists on this sector of institutions has suggested that the Master's university classification merely…

Multimode electromagnetic target discriminator: preliminary data results

NASA Astrophysics Data System (ADS)

Black, Christopher J.; McMichael, Ian T.; Nelson, Carl V.

2004-09-01

This paper describes the Multi-mode Electromagnetic Target Discriminator (METD) sensor and presents preliminary results from recent field experiments. The METD sensor was developed for the US Army RDECOM NVESD by The Johns Hopkins University Applied Physics Laboratory. The METD, based on the technology of the previously developed Electromagnetic Target Discriminator (ETD), is a spatial scanning electromagnetic induction (EMI) sensor that uses both the time-domain (TD) and the frequency-domain (FD) for target detection and classification. Data is collected with a custom data acquisition system and wirelessly transmitted to a base computer. We show that the METD has a high signal-to-noise ratio (SNR), the ability to detect voids created by plastic anti-tank (AT) mines, and is practical for near real-time data processing.

Geodemographic segmentation systems for screening health data.

PubMed Central

Openshaw, S; Blake, M

1995-01-01

AIM--To describe how geodemographic segmentation systems might be useful as a quick and easy way of exploring postcoded health databases for potential interesting patterns related to deprivation and other socioeconomic characteristics. DESIGN AND SETTING--This is demonstrated using GB Profiles, a freely available geodemographic classification system developed at Leeds University. It is used here to screen a database of colorectal cancer registrations as a first step in the analysis of that data. RESULTS AND CONCLUSION--Conventional geodemographics is a fairly simple technology and a number of outstanding methodological problems are identified. A solution to some problems is illustrated by using neural net based classifiers and then by reference to a more sophisticated geodemographic approach via a data optimal segmentation technique. Images PMID:8594132

Agreement between Wayne State University and the Wayne State University Chapter of the American Association of University Professors, August 1, 1983-July 31, 1986.

ERIC Educational Resources Information Center

American Association of Univ. Professors, Washington, DC.

The collective bargaining agreement between Wayne State University and the Wayne State University Chapter of AAUP covering the period August 1, 1983-July 31, 1986 is presented. Items covered in the agreement include: personnel classification, administration rights, union rights, union privileges, deduction of union dues and fees,…

Research on Classification of Chinese Text Data Based on SVM

NASA Astrophysics Data System (ADS)

Lin, Yuan; Yu, Hongzhi; Wan, Fucheng; Xu, Tao

2017-09-01

Data Mining has important application value in today’s industry and academia. Text classification is a very important technology in data mining. At present, there are many mature algorithms for text classification. KNN, NB, AB, SVM, decision tree and other classification methods all show good classification performance. Support Vector Machine’ (SVM) classification method is a good classifier in machine learning research. This paper will study the classification effect based on the SVM method in the Chinese text data, and use the support vector machine method in the chinese text to achieve the classify chinese text, and to able to combination of academia and practical application.

An information-based network approach for protein classification

PubMed Central

Wan, Xiaogeng; Zhao, Xin; Yau, Stephen S. T.

2017-01-01

Protein classification is one of the critical problems in bioinformatics. Early studies used geometric distances and polygenetic-tree to classify proteins. These methods use binary trees to present protein classification. In this paper, we propose a new protein classification method, whereby theories of information and networks are used to classify the multivariate relationships of proteins. In this study, protein universe is modeled as an undirected network, where proteins are classified according to their connections. Our method is unsupervised, multivariate, and alignment-free. It can be applied to the classification of both protein sequences and structures. Nine examples are used to demonstrate the efficiency of our new method. PMID:28350835

A Data Mining Approach to Identify Sexuality Patterns in a Brazilian University Population.

PubMed

Waleska Simões, Priscyla; Cesconetto, Samuel; Toniazzo de Abreu, Larissa Letieli; Côrtes de Mattos Garcia, Merisandra; Cassettari Junior, José Márcio; Comunello, Eros; Bisognin Ceretta, Luciane; Aparecida Manenti, Sandra

2015-01-01

This paper presents the profile and experience of sexuality generated from a data mining classification task. We used a database about sexuality and gender violence performed on a university population in southern Brazil. The data mining task identified two relationships between the variables, which enabled the distinction of subgroups that better detail the profile and experience of sexuality. The identification of the relationships between the variables define behavioral models and factors of risk that will help define the algorithms being implemented in the data mining classification task.

Cheese Classification, Characterization, and Categorization: A Global Perspective.

PubMed

Almena-Aliste, Montserrat; Mietton, Bernard

2014-02-01

Cheese is one of the most fascinating, complex, and diverse foods enjoyed today. Three elements constitute the cheese ecosystem: ripening agents, consisting of enzymes and microorganisms; the composition of the fresh cheese; and the environmental conditions during aging. These factors determine and define not only the sensory quality of the final cheese product but also the vast diversity of cheeses produced worldwide. How we define and categorize cheese is a complicated matter. There are various approaches to cheese classification, and a global approach for classification and characterization is needed. We review current cheese classification schemes and the limitations inherent in each of the schemes described. While some classification schemes are based on microbiological criteria, others rely on descriptions of the technologies used for cheese production. The goal of this review is to present an overview of comprehensive and practical integrative classification models in order to better describe cheese diversity and the fundamental differences within cheeses, as well as to connect fundamental technological, microbiological, chemical, and sensory characteristics to contribute to an overall characterization of the main families of cheese, including the expanding world of American artisanal cheeses.

Object-oriented recognition of high-resolution remote sensing image

NASA Astrophysics Data System (ADS)

Wang, Yongyan; Li, Haitao; Chen, Hong; Xu, Yuannan

2016-01-01

With the development of remote sensing imaging technology and the improvement of multi-source image's resolution in satellite visible light, multi-spectral and hyper spectral , the high resolution remote sensing image has been widely used in various fields, for example military field, surveying and mapping, geophysical prospecting, environment and so forth. In remote sensing image, the segmentation of ground targets, feature extraction and the technology of automatic recognition are the hotspot and difficulty in the research of modern information technology. This paper also presents an object-oriented remote sensing image scene classification method. The method is consist of vehicles typical objects classification generation, nonparametric density estimation theory, mean shift segmentation theory, multi-scale corner detection algorithm, local shape matching algorithm based on template. Remote sensing vehicles image classification software system is designed and implemented to meet the requirements .

International Rankings and the Contest for University Hegemony

ERIC Educational Resources Information Center

Ordorika, Imanol; Lloyd, Marion

2015-01-01

In just a decade, the international university rankings have become dominant measures of institutional performance for policy-makers worldwide. Bolstered by the façade of scientific neutrality, these classification systems have reinforced the hegemonic model of higher education--that of the elite, Anglo-Saxon research university--on a global…

Critical Incidents of Student Satisfaction at German Universities

ERIC Educational Resources Information Center

Vianden, Jörg; Yakaboski, Tamara

2017-01-01

Purpose: The purpose of this paper is to advance a classification of satisfactory and unsatisfactory critical incidents of student-university relationships at German universities. Design/methodology/approach: Using the Critical Incident Technique (CIT), this paper reports the results of an exploratory study of 15 tertiary education students at…

[Review of current classification and terminology of vulvar disorders].

PubMed

Sláma, J

2012-08-01

To summarize current terminology and classification of vulvar disorders. Review article. Gynecologic oncology center, Department of Gynecology and Obstetrics, General Faculty Hospital and 1st Medical School of Charles University, Prague. Vulvar disorders include wide spectrum of different diagnoses. Multidisciplinary collaboration is frequently needed in diagnostical and therapeutical process. It is essential to use unified terminology using standard dermatological terms, and unified classification for comprehensible communication between different medical professions. Current classification, which is based on Clinical-pathological criteria, was established by International Society for the Study of Vulvovaginal Disease. Recently, there was introduced Clinical classification, which groups disorders according to main morphological finding. Adequate and unified classification and terminology are necessary for effective communication during the diagnostical process.

Test Operation Procedure (TOP) 01-1-010A Vehicle Test Course Severity (Surface Roughness)

DTIC Science & Technology

2017-12-12

Department of Agriculture (USDA) classifications, respectively. TABLE 10. PARTICLE SIZE CLASSES CLASS SIZE Cobble and Gravel >4.75 mm particle diameter...ABBREVIATIONS. USCS Unified Soil Classification System USDA United States Department of Agriculture UTM Universal Transverse Mercator WNS wave number

Museum of Comparative Zoology Library--The Agassiz Library: Harvard University.

ERIC Educational Resources Information Center

Jonas, Eva S.; Regen, Shari S.

1986-01-01

Argues that the Museum of Comparative Zoology Library reflects the union between the nineteenth century natural history values of Louis Agassiz and the twentieth century library and information science methodology. Special collections, records, cataloging and classification, serials and their classification, policies, services, and procedures are…

1961-1968 New Construction Report.

ERIC Educational Resources Information Center

National Association of Physical Plant Administrators of Universities and Colleges, Richmond, IN.

137 NAPPA colleges and universities provided data for this summary. Projects are summarized by thirteen building classifications. Under each classification the following information headings are used--(1) name of institution, (2) project completion date, (3) gross square feet, (4) net assignable area, (5) construction costs, (6) number of stories,…

New Course Design: Classification Schemes and Information Architecture.

ERIC Educational Resources Information Center

Weinberg, Bella Hass

2002-01-01

Describes a course developed at St. John's University (New York) in the Division of Library and Information Science that relates traditional classification schemes to information architecture and Web sites. Highlights include functional aspects of information architecture, that is, the way content is structured; assignments; student reactions; and…

Clinical Diagnosis of Dental Caries in the 21st Century: Introductory Paper - ORCA Saturday Afternoon Symposium, 2016.

PubMed

Machiulskiene, Vita; Carvalho, Joana Christina

2018-03-05

Classifications employed to measure dental caries should first of all reflect the dynamics of the disease, in order to provide a solid basis for subsequent treatment decisions and for further monitoring of dental health of individual patients and populations. The contemporary philosophy of dental caries management implies that nonoperative treatment of caries lesions should be implemented whenever possible, limiting operative interventions to the severe and irreversible cases. The ORCA Saturday Afternoon Symposium 2016, held back-to-back to the 63rd ORCA Congress in Athens, Greece, was intended to provide an update on general requirements for clinical caries diagnosis and to overview caries diagnostic classifications including their rationale, validation, advantages, and limitations. Clinical caries diagnostic criteria and caries management outcomes are interrelated, and any diagnostic classification disregarding this concept is outdated, according to the current understanding of oral health care. Choosing clinical caries diagnostic classifications that assess the activity status of detected lesions should be a priority for dental professionals since these classifications favor the best clinical practice directed towards nonoperative interventions. The choice of clinical caries diagnostic classifications in research, in clinical practice, and in public health services should be guided by the best available scientific evidence. The clinical caries diagnostic classifications should be universally applicable in all these fields. Policy making in oral health care and the underlying policy analyses should follow the same standards. Any clinical caries diagnostic classification disregarding the universality of its use is of limited or no interest in the context of the clinical caries diagnosis of today. © 2018 S. Karger AG, Basel.

[Discussion on several basic issues of acupuncture-moxibustion science].

PubMed

Wang, Guangjun

2016-10-12

Nine basic issues on acupuncture-moxibustion science are discussed in this paper. The author believes those include the universal property of acupoints,the placebo effect of acupuncture and moxibustion,the continuous transmission of acupuncture information,the factors of the effects such as growth as well as acquired shape and properties,the classification evidence of acupoint function,the compatibility of acupoints,the change of functional state of acupoint and deqi . The universal property of acupoints means whether there is identical position of acupoint among different ethnic groups. The continuous transmission of acupuncture information is seen as whether the delivery which mainly shows as diffusion maintains active in special region and situation. The classification evidence of acupoint function refers to if there exists universal biological basis.

A Comparison of Computer-Based Classification Testing Approaches Using Mixed-Format Tests with the Generalized Partial Credit Model

ERIC Educational Resources Information Center

Kim, Jiseon

2010-01-01

Classification testing has been widely used to make categorical decisions by determining whether an examinee has a certain degree of ability required by established standards. As computer technologies have developed, classification testing has become more computerized. Several approaches have been proposed and investigated in the context of…

Report on Information Retrieval and Library Automation Studies.

ERIC Educational Resources Information Center

Alberta Univ., Edmonton. Dept. of Computing Science.

Short abstracts of works in progress or completed in the Department of Computing Science at the University of Alberta are presented under five major headings. The five categories are: Storage and search techniques for document data bases, Automatic classification, Study of indexing and classification languages through computer manipulation of data…

Application of Interactive Classification System in University Study Course Comparison

ERIC Educational Resources Information Center

Birzniece, Ilze; Rudzajs, Peteris; Kalibatiene, Diana; Vasilecas, Olegas; Rencis, Edgars

2015-01-01

The growing amount of information in the world has increased the need for computerized classification of different objects. This situation is present in higher education as well where the possibility of effortless detection of similarity between different study courses would give the opportunity to organize student exchange programmes effectively…

Preservice Mathematics Teachers' Personal Figural Concepts and Classifications about Quadrilaterals

ERIC Educational Resources Information Center

Erdogan, Emel Ozdemir; Dur, Zeliha

2014-01-01

The aim of this study was to determine preservice mathematics teachers' personal figural concepts and hierarchical classifications about quadrilaterals and to investigate the relationships between them. The participants were 57 preservice primary mathematics teachers in their senior year at a state university in Turkey. The preservice mathematics…

Classification of deadlift biomechanics with wearable inertial measurement units.

PubMed

O'Reilly, Martin A; Whelan, Darragh F; Ward, Tomas E; Delahunt, Eamonn; Caulfield, Brian M

2017-06-14

The deadlift is a compound full-body exercise that is fundamental in resistance training, rehabilitation programs and powerlifting competitions. Accurate quantification of deadlift biomechanics is important to reduce the risk of injury and ensure training and rehabilitation goals are achieved. This study sought to develop and evaluate deadlift exercise technique classification systems utilising Inertial Measurement Units (IMUs), recording at 51.2Hz, worn on the lumbar spine, both thighs and both shanks. It also sought to compare classification quality when these IMUs are worn in combination and in isolation. Two datasets of IMU deadlift data were collected. Eighty participants first completed deadlifts with acceptable technique and 5 distinct, deliberately induced deviations from acceptable form. Fifty-five members of this group also completed a fatiguing protocol (3-Repition Maximum test) to enable the collection of natural deadlift deviations. For both datasets, universal and personalised random-forests classifiers were developed and evaluated. Personalised classifiers outperformed universal classifiers in accuracy, sensitivity and specificity in the binary classification of acceptable or aberrant technique and in the multi-label classification of specific deadlift deviations. Whilst recent research has favoured universal classifiers due to the reduced overhead in setting them up for new system users, this work demonstrates that such techniques may not be appropriate for classifying deadlift technique due to the poor accuracy achieved. However, personalised classifiers perform very well in assessing deadlift technique, even when using data derived from a single lumbar-worn IMU to detect specific naturally occurring technique mistakes. Copyright © 2017 Elsevier Ltd. All rights reserved.

Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection

NASA Astrophysics Data System (ADS)

Sakuma, Jun; Wright, Rebecca N.

Privacy-preserving classification is the task of learning or training a classifier on the union of privately distributed datasets without sharing the datasets. The emphasis of existing studies in privacy-preserving classification has primarily been put on the design of privacy-preserving versions of particular data mining algorithms, However, in classification problems, preprocessing and postprocessing— such as model selection or attribute selection—play a prominent role in achieving higher classification accuracy. In this paper, we show generalization error of classifiers in privacy-preserving classification can be securely evaluated without sharing prediction results. Our main technical contribution is a new generalized Hamming distance protocol that is universally applicable to preprocessing and postprocessing of various privacy-preserving classification problems, such as model selection in support vector machine and attribute selection in naive Bayes classification.

A novel single neuron perceptron with universal approximation and XOR computation properties.

PubMed

Lotfi, Ehsan; Akbarzadeh-T, M-R

2014-01-01

We propose a biologically motivated brain-inspired single neuron perceptron (SNP) with universal approximation and XOR computation properties. This computational model extends the input pattern and is based on the excitatory and inhibitory learning rules inspired from neural connections in the human brain's nervous system. The resulting architecture of SNP can be trained by supervised excitatory and inhibitory online learning rules. The main features of proposed single layer perceptron are universal approximation property and low computational complexity. The method is tested on 6 UCI (University of California, Irvine) pattern recognition and classification datasets. Various comparisons with multilayer perceptron (MLP) with gradient decent backpropagation (GDBP) learning algorithm indicate the superiority of the approach in terms of higher accuracy, lower time, and spatial complexity, as well as faster training. Hence, we believe the proposed approach can be generally applicable to various problems such as in pattern recognition and classification.

Cell-based therapy technology classifications and translational challenges

PubMed Central

Mount, Natalie M.; Ward, Stephen J.; Kefalas, Panos; Hyllner, Johan

2015-01-01

Cell therapies offer the promise of treating and altering the course of diseases which cannot be addressed adequately by existing pharmaceuticals. Cell therapies are a diverse group across cell types and therapeutic indications and have been an active area of research for many years but are now strongly emerging through translation and towards successful commercial development and patient access. In this article, we present a description of a classification of cell therapies on the basis of their underlying technologies rather than the more commonly used classification by cell type because the regulatory path and manufacturing solutions are often similar within a technology area due to the nature of the methods used. We analyse the progress of new cell therapies towards clinical translation, examine how they are addressing the clinical, regulatory, manufacturing and reimbursement requirements, describe some of the remaining challenges and provide perspectives on how the field may progress for the future. PMID:26416686

Camouflage target reconnaissance based on hyperspectral imaging technology

NASA Astrophysics Data System (ADS)

Hua, Wenshen; Guo, Tong; Liu, Xun

2015-08-01

Efficient camouflaged target reconnaissance technology makes great influence on modern warfare. Hyperspectral images can provide large spectral range and high spectral resolution, which are invaluable in discriminating between camouflaged targets and backgrounds. Hyperspectral target detection and classification technology are utilized to achieve single class and multi-class camouflaged targets reconnaissance respectively. Constrained energy minimization (CEM), a widely used algorithm in hyperspectral target detection, is employed to achieve one class camouflage target reconnaissance. Then, support vector machine (SVM), a classification method, is proposed to achieve multi-class camouflage target reconnaissance. Experiments have been conducted to demonstrate the efficiency of the proposed method.

Microscale Particulate Classifiers (MiPAC) Being Developed

NASA Technical Reports Server (NTRS)

Greenberg, Paul S.

2001-01-01

The NASA Glenn Research Center is developing microscale sensors to characterize atmospheric-borne particulates. The devices are fabricated using MEMS (microelectromechanical systems) technologies. These technologies are derived from those originally developed in support of the semiconductor processing industry. The resulting microsensors can characterize a wide range of particles and are, therefore, suitable to a broad range of applications. This project is supported under a collaborative program called the Glennan Microsystems Initiative. The initiative comprises members of NASA Glenn Research Center, various university affiliates from the State of Ohio, and a number of participating industrial partners. Funding is jointly provided by NASA, the State of Ohio, and industrial members. The work described here is a collaborative arrangement between researchers at Glenn, the University of Minnesota, The National Institute of Standards and Technology (NIST), and the Cleveland State University. Actual device fabrication is conducted at Glenn and at the laboratories of Case Western Reserve University. Case Western is also located in Cleveland, Ohio, and is a participating member of the initiative. The principal investigator for this project is Paul S. Greenberg of Glenn. Two basic types of devices are being developed, and target different ranges of particle sizes. The first class of devices, which is used to measure nanoparticles (i.e., particles in the range of 0.002 to 1 mm), is based on the technique of Electrical Mobility Classification. This technique also affords the valuable ability of measuring the electrical charge state of the particles. Such information is important in the understanding of agglomeration mechanisms and is useful in the development of methods for particle repulsion. The second type of device being developed, which utilizes optical scattering, is suitable for particles larger than 1 mm. This technique also provides information on particle shape and composition. Applications for these sensors include fundamental planetary climatology, monitoring and filtration in spacecraft, human habitation modules and related systems, characterization of particulate emissions from propulsion and power systems, and as early warning sensors for both space-based and ter-restrial fire detection. These devices are also suitable for characterizing biological compounds such as allergens, infectious agents, and biotoxic agents.

Digital overlaying of the Universal Transverse Mercator Grid with LANDSAT-data derived products

NASA Technical Reports Server (NTRS)

Pendleton, T. W.

1976-01-01

Software has been written in FORTRAN IV for a Varian 73 computer which reformats LANDSAT-data-derived surface classifications and pictorial representations into a digital array which corresponds to the Universal Transverse Mercator Grid.

A method for EIA scoping of wave energy converters-based on classification of the used technology

DOE Office of Scientific and Technical Information (OSTI.GOV)

Margheritini, Lucia, E-mail: lm@civil.aau.dk; Hansen, Anne Merrild, E-mail: merrild@plan.aau.dk; Frigaard, Peter, E-mail: pf@civil.aau.dk

2012-01-15

During the first decade of the 21st Century the World faces spread concern for global warming caused by rise of green house gasses produced mainly by combustion of fossil fuels. Under this latest spin all renewable energies run parallel in order to achieve sustainable development. Among them wave energy has an unequivocal potential and technology is ready to enter the market and contribute to the renewable energy sector. Yet, frameworks and regulations for wave energy development are not fully ready, experiencing a setback caused by lack of understanding of the interaction of the technologies and marine environment, lack of coordinationmore » from the competent Authorities regulating device deployment and conflicts of maritime areas utilization. The EIA within the consent process is central in the realization of full scale devices and often is the meeting point for technology, politics and public. This paper presents the development of a classification of wave energy converters that is based on the different impact the technologies are expected to have on the environment. This innovative classification can be used in order to simplify the scoping process for developers and authorities.« less

[Digital teaching archive. Concept, implementation, and experiences in a university setting].

PubMed

Trumm, C; Dugas, M; Wirth, S; Treitl, M; Lucke, A; Küttner, B; Pander, E; Clevert, D-A; Glaser, C; Reiser, M

2005-08-01

Film-based teaching files require a substantial investment in human, logistic, and financial resources. The combination of computer and network technology facilitates the workflow integration of distributing radiologic teaching cases within an institution (intranet) or via the World Wide Web (Internet). A digital teaching file (DTF) should include the following basic functions: image import from different sources and of different formats, editing of imported images, uniform case classification, quality control (peer review), a controlled access of different user groups (in-house and external), and an efficient retrieval strategy. The portable network graphics image format (PNG) is especially suitable for DTFs because of several features: pixel support, 2D-interlacing, gamma correction, and lossless compression. The American College of Radiology (ACR) "Index for Radiological Diagnoses" is hierarchically organized and thus an ideal classification system for a DTF. Computer-based training (CBT) in radiology is described in numerous publications, from supplementing traditional learning methods to certified education via the Internet. Attractiveness of a CBT application can be increased by integration of graphical and interactive elements but makes workflow integration of daily case input more difficult. Our DTF was built with established Internet instruments and integrated into a heterogeneous PACS/RIS environment. It facilitates a quick transfer (DICOM_Send) of selected images at the time of interpretation to the DTF and access to the DTF application at any time anywhere within the university hospital intranet employing a standard web browser. A DTF is a small but important building block in an institutional strategy of knowledge management.

Improvement of an algorithm for recognition of liveness using perspiration in fingerprint devices

NASA Astrophysics Data System (ADS)

Parthasaradhi, Sujan T.; Derakhshani, Reza; Hornak, Lawrence A.; Schuckers, Stephanie C.

2004-08-01

Previous work in our laboratory and others have demonstrated that spoof fingers made of a variety of materials including silicon, Play-Doh, clay, and gelatin (gummy finger) can be scanned and verified when compared to a live enrolled finger. Liveness, i.e. to determine whether the introduced biometric is coming from a live source, has been suggested as a means to circumvent attacks using spoof fingers. We developed a new liveness method based on perspiration changes in the fingerprint image. Recent results showed approximately 90% classification rate using different classification methods for various technologies including optical, electro-optical, and capacitive DC, a shorter time window and a diverse dataset. This paper focuses on improvement of the live classification rate by using a weight decay method during the training phase in order to improve the generalization and reduce the variance of the neural network based classifier. The dataset included fingerprint images from 33 live subjects, 33 spoofs created with dental impression material and Play-Doh, and fourteen cadaver fingers. 100% live classification was achieved with 81.8 to 100% spoof classification, depending on the device technology. The weight-decay method improves upon past reports by increasing the live and spoof classification rate.

Railroad Classification Yard Technology Manual. Volume I : Yard Design Methods

DOT National Transportation Integrated Search

1981-02-01

This volume documents the procedures and methods associated with the design of railroad classification yards. Subjects include: site location, economic analysis, yard capacity analysis, design of flat yards, overall configuration of hump yards, hump ...

Medical equipment classification: method and decision-making support based on paraconsistent annotated logic.

PubMed

Oshiyama, Natália F; Bassani, Rosana A; D'Ottaviano, Itala M L; Bassani, José W M

2012-04-01

As technology evolves, the role of medical equipment in the healthcare system, as well as technology management, becomes more important. Although the existence of large databases containing management information is currently common, extracting useful information from them is still difficult. A useful tool for identification of frequently failing equipment, which increases maintenance cost and downtime, would be the classification according to the corrective maintenance data. Nevertheless, establishment of classes may create inconsistencies, since an item may be close to two classes by the same extent. Paraconsistent logic might help solve this problem, as it allows the existence of inconsistent (contradictory) information without trivialization. In this paper, a methodology for medical equipment classification based on the ABC analysis of corrective maintenance data is presented, and complemented with a paraconsistent annotated logic analysis, which may enable the decision maker to take into consideration alerts created by the identification of inconsistencies and indeterminacies in the classification.

Policy implications of emerging vehicle and infrastructure technology.

DOT National Transportation Integrated Search

2014-08-01

This report considers a broad range of emerging transportation technologies that have potential : for enhancing travel on and operations of the Texas transportation system. It provides an : overview of technology classifications and assesses the poli...

Using Classification Trees to Predict Alumni Giving for Higher Education

ERIC Educational Resources Information Center

Weerts, David J.; Ronca, Justin M.

2009-01-01

As the relative level of public support for higher education declines, colleges and universities aim to maximize alumni-giving to keep their programs competitive. Anchored in a utility maximization framework, this study employs the classification and regression tree methodology to examine characteristics of alumni donors and non-donors at a…

Engaged with Carnegie: Effects of Carnegie Classification Recognition on CUMU Universities

ERIC Educational Resources Information Center

Arfken, Deborah Elwell; Ritz, Susan

2013-01-01

This paper provides the results of a survey sent to all thirty-two CUMU institutions that have received the Carnegie recognition and specifically examines a) reasons for applying for the elective classification; b) level of pride instilled in campuses; and c) level of impact on institutional identity and culture, institutional commitment,…

Discovery of User-Oriented Class Associations for Enriching Library Classification Schemes.

ERIC Educational Resources Information Center

Pu, Hsiao-Tieh

2002-01-01

Presents a user-based approach to exploring the possibility of adding user-oriented class associations to hierarchical library classification schemes. Classes not grouped in the same subject hierarchies yet relevant to users' knowledge are obtained by analyzing a log book of a university library's circulation records, using collaborative filtering…

[The classification of ceramics according to its chemical nature and its method of production].

PubMed

Moureau, Thomas; Bouhy, Alice; Raepsaet, Nicolas; Vanheusden, Alain

2006-01-01

Nowadays, we find on the market a huge amount of design and manufactured system that allows the realisation of all-ceramics restorations, using different ceramics. The purpose of this article is suggesting a classification of mostly used ceramics and a few laboratory process used in our university.

Comprehension and reproducibility of the Judet and Letournel classification

PubMed Central

Polesello, Giancarlo Cavalli; Nunes, Marcus Aurelius Araujo; Azuaga, Thiago Leonardi; de Queiroz, Marcelo Cavalheiro; Honda, Emerson Kyoshi; Ono, Nelson Keiske

2012-01-01

Objective To evaluate the effectiveness of the method of radiographic interpretation of acetabular fractures, according to the classification of Judet and Letournel, used by a group of residents of Orthopedics at a university hospital. Methods We selected ten orthopedic residents, who were divided into two groups; one group received training in a methodology for the classification of acetabular fractures, which involves transposing the radiographic images to a graphic two-dimensional representation. We classified fifty cases of acetabular fracture on two separate occasions, and determined the intraobserver and interobserver agreement. Result The success rate was 16.2% (10-26%) for the trained group and 22.8% (10-36%) for the untrained group. The mean kappa coefficients for interobserver and intraobserver agreement in the trained group were 0.08 and 0.12, respectively, and for the untrained group, 0.14 and 0.29. Conclusion Training in the method of radiographic interpretation of acetabular fractures was not effective for assisting in the classification of acetabular fractures. Level of evidence I, Testing of previously developed diagnostic criteria on consecutive patients (with universally applied reference "gold" standard). PMID:24453583

A full computation-relevant topological dynamics classification of elementary cellular automata.

PubMed

Schüle, Martin; Stoop, Ruedi

2012-12-01

Cellular automata are both computational and dynamical systems. We give a complete classification of the dynamic behaviour of elementary cellular automata (ECA) in terms of fundamental dynamic system notions such as sensitivity and chaoticity. The "complex" ECA emerge to be sensitive, but not chaotic and not eventually weakly periodic. Based on this classification, we conjecture that elementary cellular automata capable of carrying out complex computations, such as needed for Turing-universality, are at the "edge of chaos."

Design and Implementation of a Mobile Phone Locator Using Software Defined Radio

DTIC Science & Technology

2007-09-01

time difference of  arrival 15. NUMBER OF  PAGES  116 16. PRICE CODE 17. SECURITY  CLASSIFICATION  OF  REPORT Unclassified 18. SECURITY  CLASSIFICATION  OF...THIS  PAGE Unclassified 19. SECURITY  CLASSIFICATION  OF  ABSTRACT Unclassified 20. LIMITATION OF  ABSTRACT UU NSN 7540­01­280­5500 Standard Form 298...relatively inexpensive device called the Universal Software Radio Peripheral (USRP). The USRP consists of a motherboard which performs the analog-to

Classification of Electrocardiogram Using SOM, LVQ and Beat Detection Methods in Localization of Cardiac Arrhythmias

DTIC Science & Technology

2001-10-25

34 An Introduction to statsitical signal processing". Stanford University and University of Maryland, 1996 [8]Donna Van Wynsberge, Charles R. Noback , Robert Carola " Human Anatomy and Physiology" third edition, 1996

Changing scene highlights III. [Iowa State University

DOE Office of Scientific and Technical Information (OSTI.GOV)

Fassel, V. A.; Harl, Neil E.; Legvold, Sam

1979-01-01

The research programs in progress at Ames Laboratory, Iowa State University, are reviewed: hydrogen (storage), materials, catalysts, TRISTAN (their laboratory isotope separator), coal preparation, coal classification, land reclamation (after surface mining, nitinol, neutron radiography, grain dust explosions, biomass conversion, etc). (LTC)

Benchmarking the Economic Impact and Effectiveness of University Technology Transfer in Maryland.

ERIC Educational Resources Information Center

Clinch, Richard

This study examined university technology transfer in Maryland in terms of three issues: (1) the economic impact of university technology transfer; (2) a comparison of the technology transfer effort of University of Maryland System (UMS) institutions with other regional and "best practice" institutions; and (3) the technology transfer…

New York State Thruway Authority automatic vehicle classification (AVC) : research report.

DOT National Transportation Integrated Search

2008-03-31

In December 2007, the N.Y.S. Thruway Authority (Thruway) concluded a Federal : funded research effort to study technology and develop a design for retrofitting : devices required in implementing a fully automated vehicle classification system i...

Railroad classification yard technology : computer system methodology : case study : Potomac Yard

DOT National Transportation Integrated Search

1981-08-01

This report documents the application of the railroad classification yard computer system methodology to Potomac Yard of the Richmond, Fredericksburg, and Potomac Railroad Company (RF&P). This case study entailed evaluation of the yard traffic capaci...

High area rate reconnaissance (HARR) and mine reconnaissance/hunter (MR/H) exploratory development programs

NASA Astrophysics Data System (ADS)

Lathrop, John D.

1995-06-01

This paper describes the sea mine countermeasures developmental context, technology goals, and progress to date of the two principal Office of Naval Research exploratory development programs addressing sea mine reconnaissance and minehunting technology development. The first of these programs, High Area Rate Reconnaissance, is developing toroidal volume search sonar technology, sidelooking sonar technology, and associated signal processing technologies (motion compensation, beamforming, and computer-aided detection and classification) for reconnaissance and hunting against volume mines and proud bottom mines from 21-inch diameter vehicles operating in deeper waters. The second of these programs, Amphibious Operation Area Mine Reconnaissance/Hunter, is developing a suite of sensor technologies (synthetic aperture sonar, ahead-looking sonar, superconducting magnetic field gradiometer, and electro-optic sensor) and associated signal processing technologies for reconnaissance and hunting against all mine types (including buried mines) in shallow water and very shallow water from 21-inch diameter vehicles. The technologies under development by these two programs must provide excellent capabilities for mine detection, mine classification, and discrimination against false targets.

Dimensionality-varied convolutional neural network for spectral-spatial classification of hyperspectral data

NASA Astrophysics Data System (ADS)

Liu, Wanjun; Liang, Xuejian; Qu, Haicheng

2017-11-01

Hyperspectral image (HSI) classification is one of the most popular topics in remote sensing community. Traditional and deep learning-based classification methods were proposed constantly in recent years. In order to improve the classification accuracy and robustness, a dimensionality-varied convolutional neural network (DVCNN) was proposed in this paper. DVCNN was a novel deep architecture based on convolutional neural network (CNN). The input of DVCNN was a set of 3D patches selected from HSI which contained spectral-spatial joint information. In the following feature extraction process, each patch was transformed into some different 1D vectors by 3D convolution kernels, which were able to extract features from spectral-spatial data. The rest of DVCNN was about the same as general CNN and processed 2D matrix which was constituted by by all 1D data. So that the DVCNN could not only extract more accurate and rich features than CNN, but also fused spectral-spatial information to improve classification accuracy. Moreover, the robustness of network on water-absorption bands was enhanced in the process of spectral-spatial fusion by 3D convolution, and the calculation was simplified by dimensionality varied convolution. Experiments were performed on both Indian Pines and Pavia University scene datasets, and the results showed that the classification accuracy of DVCNN improved by 32.87% on Indian Pines and 19.63% on Pavia University scene than spectral-only CNN. The maximum accuracy improvement of DVCNN achievement was 13.72% compared with other state-of-the-art HSI classification methods, and the robustness of DVCNN on water-absorption bands noise was demonstrated.

A Survey on Gas Sensing Technology

PubMed Central

Liu, Xiao; Cheng, Sitian; Liu, Hong; Hu, Sha; Zhang, Daqiang; Ning, Huansheng

2012-01-01

Sensing technology has been widely investigated and utilized for gas detection. Due to the different applicability and inherent limitations of different gas sensing technologies, researchers have been working on different scenarios with enhanced gas sensor calibration. This paper reviews the descriptions, evaluation, comparison and recent developments in existing gas sensing technologies. A classification of sensing technologies is given, based on the variation of electrical and other properties. Detailed introduction to sensing methods based on electrical variation is discussed through further classification according to sensing materials, including metal oxide semiconductors, polymers, carbon nanotubes, and moisture absorbing materials. Methods based on other kinds of variations such as optical, calorimetric, acoustic and gas-chromatographic, are presented in a general way. Several suggestions related to future development are also discussed. Furthermore, this paper focuses on sensitivity and selectivity for performance indicators to compare different sensing technologies, analyzes the factors that influence these two indicators, and lists several corresponding improved approaches. PMID:23012563

A scheme for a flexible classification of dietary and health biomarkers.

PubMed

Gao, Qian; Praticò, Giulia; Scalbert, Augustin; Vergères, Guy; Kolehmainen, Marjukka; Manach, Claudine; Brennan, Lorraine; Afman, Lydia A; Wishart, David S; Andres-Lacueva, Cristina; Garcia-Aloy, Mar; Verhagen, Hans; Feskens, Edith J M; Dragsted, Lars O

2017-01-01

Biomarkers are an efficient means to examine intakes or exposures and their biological effects and to assess system susceptibility. Aided by novel profiling technologies, the biomarker research field is undergoing rapid development and new putative biomarkers are continuously emerging in the scientific literature. However, the existing concepts for classification of biomarkers in the dietary and health area may be ambiguous, leading to uncertainty about their application. In order to better understand the potential of biomarkers and to communicate their use and application, it is imperative to have a solid scheme for biomarker classification that will provide a well-defined ontology for the field. In this manuscript, we provide an improved scheme for biomarker classification based on their intended use rather than the technology or outcomes (six subclasses are suggested: food compound intake biomarkers (FCIBs), food or food component intake biomarkers (FIBs), dietary pattern biomarkers (DPBs), food compound status biomarkers (FCSBs), effect biomarkers, physiological or health state biomarkers). The application of this scheme is described in detail for the dietary and health area and is compared with previous biomarker classification for this field of research.

Classification of male lower torso for underwear design

NASA Astrophysics Data System (ADS)

Cheng, Z.; Kuzmichev, V. E.

2017-10-01

By means of scanning technology we have got new information about the morphology of male bodies and have redistricted the classification of men’s underwear by adopting one to consumer demands. To build the new classification in accordance with male body characteristic factors of lower torso, we make the method of underwear designing which allow to get the accurate and convenience for consumers products.

Communication technologies through an etymological lens: looking for a classification, reflections about health, medicine and care.

PubMed

Colucci, Massimiliano

2015-11-01

Information and communication technologies are widely used in healthcare. However, there is not still a unified taxonomy for them. The lack of understanding of this phenomenon implies theoretical and ethical issues. This paper attempts to find out the basis for a classification, starting from a new perspective: the structural elements are obtained from the etymologies of the lexicon commonly used, that is words like telemedicine, telehealth, telecare and telecure. This will promote a better understanding of communication technologies; at the same time, it will allow to draw some reflection about health, medicine and care, and their semantic and relational nature.

Monitoring nanotechnology using patent classifications: an overview and comparison of nanotechnology classification schemes

NASA Astrophysics Data System (ADS)

Jürgens, Björn; Herrero-Solana, Victor

2017-04-01

Patents are an essential information source used to monitor, track, and analyze nanotechnology. When it comes to search nanotechnology-related patents, a keyword search is often incomplete and struggles to cover such an interdisciplinary discipline. Patent classification schemes can reveal far better results since they are assigned by experts who classify the patent documents according to their technology. In this paper, we present the most important classifications to search nanotechnology patents and analyze how nanotechnology is covered in the main patent classification systems used in search systems nowadays: the International Patent Classification (IPC), the United States Patent Classification (USPC), and the Cooperative Patent Classification (CPC). We conclude that nanotechnology has a significantly better patent coverage in the CPC since considerable more nanotechnology documents were retrieved than by using other classifications, and thus, recommend its use for all professionals involved in nanotechnology patent searches.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Trinklei, Eddy; Parker, Gordon; Weaver, Wayne

This report presents a scoping study for networked microgrids which are defined as "Interoperable groups of multiple Advanced Microgrids that become an integral part of the electricity grid while providing enhanced resiliency through self-healing, aggregated ancillary services, and real-time communication." They result in optimal electrical system configurations and controls whether grid-connected or in islanded modes and enable high penetrations of distributed and renewable energy resources. The vision for the purpose of this document is: "Networked microgrids seamlessly integrate with the electricity grid or other Electric Power Sources (EPS) providing cost effective, high quality, reliable, resilient, self-healing power delivery systems." Scopingmore » Study: Networked Microgrids September 4, 2014 Eddy Trinklein, Michigan Technological University Gordon Parker, Michigan Technological University Wayne Weaver, Michigan Technological University Rush Robinett, Michigan Technological University Lucia Gauchia Babe, Michigan Technological University Chee-Wooi Ten, Michigan Technological University Ward Bower, Ward Bower Innovations LLC Steve Glover, Sandia National Laboratories Steve Bukowski, Sandia National Laboratories Prepared by Michigan Technological University Houghton, Michigan 49931 Michigan Technological University« less

The INNs and outs of antibody nonproprietary names

PubMed Central

Jones, Tim D.; Carter, Paul J.; Plückthun, Andreas; Vásquez, Max; Holgate, Robert G.E.; Hötzel, Isidro; Popplewell, Andrew G.; Parren, Paul W.H.I.; Enzelberger, Markus; Rademaker, Hendrik J.; Clark, Michael R.; Lowe, David C.; Dahiyat, Bassil I.; Smith, Victoria; Lambert, John M.; Wu, Herren; Reilly, Mary; Haurum, John S.; Dübel, Stefan; Huston, James S.; Schirrmann, Thomas; Janssen, Richard A.J.; Steegmaier, Martin; Gross, Jane A.; Bradbury, Andrew R.M.; Burton, Dennis R.; Dimitrov, Dimiter S.; Chester, Kerry A.; Glennie, Martin J.; Davies, Julian; Walker, Adam; Martin, Steve; McCafferty, John; Baker, Matthew P.

2016-01-01

An important step in drug development is the assignment of an International Nonproprietary Name (INN) by the World Health Organization (WHO) that provides healthcare professionals with a unique and universally available designated name to identify each pharmaceutical substance. Monoclonal antibody INNs comprise a –mab suffix preceded by a substem indicating the antibody type, e.g., chimeric (-xi-), humanized (-zu-), or human (-u-). The WHO publishes INN definitions that specify how new monoclonal antibody therapeutics are categorized and adapts the definitions to new technologies. However, rapid progress in antibody technologies has blurred the boundaries between existing antibody categories and created a burgeoning array of new antibody formats. Thus, revising the INN system for antibodies is akin to aiming for a rapidly moving target. The WHO recently revised INN definitions for antibodies now to be based on amino acid sequence identity. These new definitions, however, are critically flawed as they are ambiguous and go against decades of scientific literature. A key concern is the imposition of an arbitrary threshold for identity against human germline antibody variable region sequences. This leads to inconsistent classification of somatically mutated human antibodies, humanized antibodies as well as antibodies derived from semi-synthetic/synthetic libraries and transgenic animals. Such sequence-based classification implies clear functional distinction between categories (e.g., immunogenicity). However, there is no scientific evidence to support this. Dialog between the WHO INN Expert Group and key stakeholders is needed to develop a new INN system for antibodies and to avoid confusion and miscommunication between researchers and clinicians prescribing antibodies. PMID:26716992

NASA's University Program: Active projects, fiscal year 1981

NASA Technical Reports Server (NTRS)

1981-01-01

Active university R and D activities funded by NASA which contribute to mission needs are documented. Technical rather than fiscal information is emphasized. A classification of government sponsored research is included. A cross index providing access to the project description is also included.

Third Generation Nigerian University Libraries.

ERIC Educational Resources Information Center

Agboola, A. T.

1993-01-01

Examines the development of Nigerian University libraries and the political factors that created them and continue to effect their development, with a focus on those established between 1980 and 1984. Users, governance, finance, buildings, staffing, collection development, services, cataloging and classification, and automation are described.…

Model Validation and Site Characterization for Early Deployment MHK Sites and Establishment of Wave Classification Scheme

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kilcher, Levi F

Model Validation and Site Characterization for Early Deployment Marine and Hydrokinetic Energy Sites and Establishment of Wave Classification Scheme presentation from from Water Power Technologies Office Peer Review, FY14-FY16.

TCP/IP Implementations and Vendors Guide,

DTIC Science & Technology

1986-02-01

DOCUMENTATION PAGE la. REPORT SECURITY CLASSIFICATION lb. RESTRICTIVE MARKINGS 2a. SECURITY CLASSIFICATION AUTHORITY 3. DISTRIBUTION/ AVAILABILIT OF...UNIX System V (5.2) IMPLEMENTATION-LANGUAGE: C DISTRIBUTOR: UNIQ Digital Technologies 28 S. Water St. Batavia, fI1 60510 (312) 879-1008 CONTACT

77 FR 55482 - Public Workshop on Marine Technology and Standards

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-10

... provide a unique opportunity for classification societies, industry groups, standards development... email at [email protected] . You may also contact Lieutenant Commander Ken Hettler, Office of Design and... provides a unique opportunity for classification societies, industry groups, standards development...

Crop Identification Technology Assessment for Remote Sensing (CITARS)

NASA Technical Reports Server (NTRS)

Bauer, M. E.; Cary, T. K.; Davis, B. J.; Swain, P. H.

1975-01-01

The results of classifications and experiments performed for the Crop Identification Technology Assessment for Remote Sensing (CITARS) project are summarized. Fifteen data sets were classified using two analysis procedures. One procedure used class weights while the other assumed equal probabilities of occurrence for all classes. In addition, 20 data sets were classified using training statistics from another segment or date. The results of both the local and non-local classifications in terms of classification and proportion estimation are presented. Several additional experiments are described which were performed to provide additional understanding of the CITARS results. These experiments investigated alternative analysis procedures, training set selection and size, effects of multitemporal registration, the spectral discriminability of corn, soybeans, and other, and analysis of aircraft multispectral data.

After the Engagement Classification: Using Organization Theory to Maximize Institutional Understandings

ERIC Educational Resources Information Center

Thornton, Courtney H.; Zuiches, James J.

2009-01-01

Campuses that pursue the Carnegie Community Engagement Classification will in some form take full inventory of their engagement efforts in order to address the range of questions posed by the Carnegie Foundation. At an institution as large, diverse, and decentralized as North Carolina State University, this was no small undertaking. NC State's…

Effects of Race and Precipitating Event on Suicide versus Nonsuicide Death Classification in a College Sample

ERIC Educational Resources Information Center

Walker, Rheeda L.; Flowers, Kelci C.

2011-01-01

Race group differences in suicide death classification in a sample of 109 Black and White university students were examined. Participants were randomly assigned to read three vignettes for which the vignette subjects' race (only) varied. The vignettes each described a circumstance (terminal illness, academic failure, or relationship difficulties)…

Using Patent Classification to Discover Chemical Information in a Free Patent Database: Challenges and Opportunities

ERIC Educational Resources Information Center

Ha¨rtinger, Stefan; Clarke, Nigel

2016-01-01

Developing skills for searching the patent literature is an essential element of chemical information literacy programs at the university level. The present article creates awareness of patents as a rich source of chemical information. Patent classification is introduced as a key-component in comprehensive search strategies. The free Espacenet…

Typecasting catchments: Classification, directionality, and the pursuit of universality

NASA Astrophysics Data System (ADS)

Smith, Tyler; Marshall, Lucy; McGlynn, Brian

2018-02-01

Catchment classification poses a significant challenge to hydrology and hydrologic modeling, restricting widespread transfer of knowledge from well-studied sites. The identification of important physical, climatological, or hydrologic attributes (to varying degrees depending on application/data availability) has traditionally been the focus for catchment classification. Classification approaches are regularly assessed with regard to their ability to provide suitable hydrologic predictions - commonly by transferring fitted hydrologic parameters at a data-rich catchment to a data-poor catchment deemed similar by the classification. While such approaches to hydrology's grand challenges are intuitive, they often ignore the most uncertain aspect of the process - the model itself. We explore catchment classification and parameter transferability and the concept of universal donor/acceptor catchments. We identify the implications of the assumption that the transfer of parameters between "similar" catchments is reciprocal (i.e., non-directional). These concepts are considered through three case studies situated across multiple gradients that include model complexity, process description, and site characteristics. Case study results highlight that some catchments are more successfully used as donor catchments and others are better suited as acceptor catchments. These results were observed for both black-box and process consistent hydrologic models, as well as for differing levels of catchment similarity. Therefore, we suggest that similarity does not adequately satisfy the underlying assumptions being made in parameter regionalization approaches regardless of model appropriateness. Furthermore, we suggest that the directionality of parameter transfer is an important factor in determining the success of parameter regionalization approaches.

Comparing K-mer based methods for improved classification of 16S sequences.

PubMed

Vinje, Hilde; Liland, Kristian Hovde; Almøy, Trygve; Snipen, Lars

2015-07-01

The need for precise and stable taxonomic classification is highly relevant in modern microbiology. Parallel to the explosion in the amount of sequence data accessible, there has also been a shift in focus for classification methods. Previously, alignment-based methods were the most applicable tools. Now, methods based on counting K-mers by sliding windows are the most interesting classification approach with respect to both speed and accuracy. Here, we present a systematic comparison on five different K-mer based classification methods for the 16S rRNA gene. The methods differ from each other both in data usage and modelling strategies. We have based our study on the commonly known and well-used naïve Bayes classifier from the RDP project, and four other methods were implemented and tested on two different data sets, on full-length sequences as well as fragments of typical read-length. The difference in classification error obtained by the methods seemed to be small, but they were stable and for both data sets tested. The Preprocessed nearest-neighbour (PLSNN) method performed best for full-length 16S rRNA sequences, significantly better than the naïve Bayes RDP method. On fragmented sequences the naïve Bayes Multinomial method performed best, significantly better than all other methods. For both data sets explored, and on both full-length and fragmented sequences, all the five methods reached an error-plateau. We conclude that no K-mer based method is universally best for classifying both full-length sequences and fragments (reads). All methods approach an error plateau indicating improved training data is needed to improve classification from here. Classification errors occur most frequent for genera with few sequences present. For improving the taxonomy and testing new classification methods, the need for a better and more universal and robust training data set is crucial.

University Technology Transfer Information Processing from the Attention Based View

ERIC Educational Resources Information Center

Hamilton, Clovia

2015-01-01

Between 2005 and 2011, there was no substantial growth in licenses executed by university technology transfer offices. Since the passage of the Bayh Dole Act of 1980, universities have owned technological inventions afforded by federal research funding. There are still university technology transfer offices that struggle with increasing their…

Conceptualising Postgraduate Training in Biotechnology at Universities of Technology

ERIC Educational Resources Information Center

Fossey, A.

2012-01-01

Universities of Technology are mandated to provide career-orientated programmes preparing graduates for the workplace, doing research aimed at identifying societal and industrial needs, and finding solutions. Universities of Technology interweave technology with university endeavours; focusing on the know-how for the fabrication of things, and the…

Automatic classification of blank substrate defects

NASA Astrophysics Data System (ADS)

Boettiger, Tom; Buck, Peter; Paninjath, Sankaranarayanan; Pereira, Mark; Ronald, Rob; Rost, Dan; Samir, Bhamidipati

2014-10-01

Mask preparation stages are crucial in mask manufacturing, since this mask is to later act as a template for considerable number of dies on wafer. Defects on the initial blank substrate, and subsequent cleaned and coated substrates, can have a profound impact on the usability of the finished mask. This emphasizes the need for early and accurate identification of blank substrate defects and the risk they pose to the patterned reticle. While Automatic Defect Classification (ADC) is a well-developed technology for inspection and analysis of defects on patterned wafers and masks in the semiconductors industry, ADC for mask blanks is still in the early stages of adoption and development. Calibre ADC is a powerful analysis tool for fast, accurate, consistent and automatic classification of defects on mask blanks. Accurate, automated classification of mask blanks leads to better usability of blanks by enabling defect avoidance technologies during mask writing. Detailed information on blank defects can help to select appropriate job-decks to be written on the mask by defect avoidance tools [1][4][5]. Smart algorithms separate critical defects from the potentially large number of non-critical defects or false defects detected at various stages during mask blank preparation. Mechanisms used by Calibre ADC to identify and characterize defects include defect location and size, signal polarity (dark, bright) in both transmitted and reflected review images, distinguishing defect signals from background noise in defect images. The Calibre ADC engine then uses a decision tree to translate this information into a defect classification code. Using this automated process improves classification accuracy, repeatability and speed, while avoiding the subjectivity of human judgment compared to the alternative of manual defect classification by trained personnel [2]. This paper focuses on the results from the evaluation of Automatic Defect Classification (ADC) product at MP Mask Technology Center (MPMask). The Calibre ADC tool was qualified on production mask blanks against the manual classification. The classification accuracy of ADC is greater than 95% for critical defects with an overall accuracy of 90%. The sensitivity to weak defect signals and locating the defect in the images is a challenge we are resolving. The performance of the tool has been demonstrated on multiple mask types and is ready for deployment in full volume mask manufacturing production flow. Implementation of Calibre ADC is estimated to reduce the misclassification of critical defects by 60-80%.

Development of Automated Image Analysis Software for Suspended Marine Particle Classification

DTIC Science & Technology

2002-09-30

Development of Automated Image Analysis Software for Suspended Marine Particle Classification Scott Samson Center for Ocean Technology...and global water column. 1 OBJECTIVES The project’s objective is to develop automated image analysis software to reduce the effort and time

Classifying High-noise EEG in Complex Environments for Brain-computer Interaction Technologies

DTIC Science & Technology

2012-02-01

differentiation in the brain signal that our classification approach seeks to identify despite the noise in the recorded EEG signal and the complexity of...performed two offline classifications , one using BCILab (1), the other using LibSVM (2). Distinct classifiers were trained for each individual in...order to improve individual classifier performance (3). The highest classification performance results were obtained using individual frequency bands

Comparison of attitudes of non-science major students toward science and technology

NASA Astrophysics Data System (ADS)

Wick, Donald Gary

This study examines the attitudes of non-science major students who were enrolled in General Education Required (GER) science courses at three diverse Iowa post-secondary educational institutions: The University of Iowa, Cornell College, and Kirkwood Community College. The information was gathered using a survey instrument with the test subjects responding with a five-part Likert-scale to a series of statements regarding: (1) reasons for taking the science course, (2) views and attitudes toward science, and (3) the nature and implications of science and technology. The initial data gathered was analyzed using either chi-squared, analysis of variance (ANOVA), and/or Bonferroni tests. Responses to grouped statements were used to generate population indices related to: (1) experience, (2) attitude, (3) experimentation, and (4) technology. These indices were analyzed for statistically significant differences using Tukey's Studentized (HSD) and Tukey-Krammer tests. Statistically significant differences were found in the response means for some individual statements. When a population index was calculated for each school using the grouped responses related to attitude, experience, science/technology, multiple comparison testing determined significant differences with regards to attitude, experiences, and science/technology. No significant differences were found between the schools for the population index regarding experimentation. Demographic information gathered concerning the nature of the student populations included: (1) declared major, (2) classification, (3) previous number of science courses, (4) gender, and (5) use of computers for the science course. Analysis of demographic data also revealed statistically significant differences. The differences found in this study provide additional quantitative data to characterize the non-science major student. Recommendations based on this data are: (1) The University of Iowa strive for smaller GER class sizes and reevaluate current pedagogy, (2) Kirkwood Community College make class material more relevant and place more emphasis on research, (3) Cornell College utilize full professors in the non-major course and incorporate more technology, and (4) all reevaluate the science GERs course pedagogy, retain the science GERs, maintain the current number of GER science course choices, and, finally, reevaluate any GER science course credit reciprocity.

Analysis on the application of background parameters on remote sensing classification

NASA Astrophysics Data System (ADS)

Qiao, Y.

Drawing accurate crop cultivation acreage, dynamic monitoring of crops growing and yield forecast are some important applications of remote sensing to agriculture. During the 8th 5-Year Plan period, the task of yield estimation using remote sensing technology for the main crops in major production regions in China once was a subtopic to the national research task titled "Study on Application of Remote sensing Technology". In 21 century in a movement launched by Chinese Ministry of Agriculture to combine high technology to farming production, remote sensing has given full play to farm crops' growth monitoring and yield forecast. And later in 2001 Chinese Ministry of Agriculture entrusted the Northern China Center of Agricultural Remote Sensing to forecast yield of some main crops like wheat, maize and rice in rather short time to supply information for the government decision maker. Present paper is a report for this task. It describes the application of background parameters in image recognition, classification and mapping with focuses on plan of the geo-science's theory, ecological feature and its cartographical objects or scale, the study of phrenology for image optimal time for classification of the ground objects, the analysis of optimal waveband composition and the application of background data base to spatial information recognition ;The research based on the knowledge of background parameters is indispensable for improving the accuracy of image classification and mapping quality and won a secondary reward of tech-science achievement from Chinese Ministry of Agriculture. Keywords: Spatial image; Classification; Background parameter

Value chain of nanotechnology: a comparative study of some major players

NASA Astrophysics Data System (ADS)

Wang, Gangbo; Guan, Jiancheng

2012-02-01

The article provides a general overview for the landscapes of national nanotechnology development from 1991 to 2010. More than 230,000 unique patents are identified based on a composite search strategy in the Derwent innovation index database. According to the concordance between patent classification and industry technology, some main application areas are identified to compare the positions and specializations among the leading countries. By extracting the content of the "use" subfield in the abstracts and harvesting the keywords representing characteristics of life cycle, nanotechnology patents are grouped into four categories: nanomaterials, nanointermediates, nano-enabled products, and nanotools, which can be seen as four stages of nanotechnology's value chain. These analyses enable us to identify the distributions of value chain and prolific research institutions among the leading countries. It is found that China is productive in nanomaterials and nanointermediates, rather than nano-enabled products and nanotools, which could be mainly explained by the fact that Chinese academia makes a main contribution to nanotechnology patenting. However, there is a big gap between university patenting and market demands, leading to a low rate of technology transfer or licensing.

A retrospective on hydroacoustic assessment of fish passage in Alaskan rivers

NASA Astrophysics Data System (ADS)

Burwen, Debby; Fleischman, Steve; Maxwell, Suzanne; Pfisterer, Carl

2005-04-01

The Alaska Department of Fish and Game (ADFG) has enumerated fish stocks in rivers for over 30 years using a variety of acoustic technologies including single-, dual-, and split-beam sonar. Most recently, ADFG has evaluated a relatively new sonar technology at several sites in Alaska to determine its applicability to counting migrating fish in rivers. The new system, called a Dual frequency IDentification SONar (DIDSON), is a high-definition imaging sonar designed and manufactured by the University of Washington's Applied Physics Lab for military applications such as diver detection and underwater mine identification. Results from experiments conducted in 2002-2004 indicate that DIDSON provides significant improvements in our ability to detect, track, and determine the direction of travel of migrating fish in rivers. One of the most powerful uses of the DIDSON has been to combine its camera-like images of fish swimming behavior with corresponding split-beam data. These linked datasets have allowed us to evaluate the effects of fish orientation and swimming behavior on echo shape parameters that have proven useful in the classification of certain fish species.

A Taxonomy of Introductory Physics Concepts.

NASA Astrophysics Data System (ADS)

Mokaya, Fridah; Savkar, Amit; Valente, Diego

We have designed and implemented a hierarchical taxonomic classification of physics concepts for our introductory physics for engineers course sequence taught at the University of Connecticut. This classification can be used to provide a mechanism to measure student progress in learning at the level of individual concepts or clusters of concepts, and also as part of a tool to measure effectiveness of teaching pedagogy. We examine our pre- and post-test FCI results broken down by topics using Hestenes et al.'s taxonomy classification for the FCI, and compare these results with those found using our own taxonomy classification. In addition, we expand this taxonomic classification to measure performance in our other course exams, investigating possible correlations in results achieved across different assessments at the individual topic level. UCONN CLAS(College of Liberal Arts and Science).

Communication and Cultural Change in University Technology Transfer

ERIC Educational Resources Information Center

Wright, David

2013-01-01

Faculty culture and communication networks are pivotal components of technology transfer on university campuses. Universities are focused upon diffusing technology to external clients and upon building structure and support systems to enhance technology transfer. However, engaging faculty members in technology transfer requires an internal…

Voice classification and vocal tract of singers: a study of x-ray images and morphology.

PubMed

Roers, Friederike; Mürbe, Dirk; Sundberg, Johan

2009-01-01

This investigation compares vocal tract dimensions and the classification of singer voices by examining an x-ray material assembled between 1959 and 1991 of students admitted to the solo singing education at the University of Music, Dresden, Germany. A total of 132 images were available to analysis. Different classifications' values of the lengths of the total vocal tract, the pharynx, and mouth cavities as well as of the relative position of the larynx, the height of the palatal arch, and the estimated vocal fold length were analyzed statistically, and some significant differences were found. The length of the pharynx cavity seemed particularly influential on the total vocal tract length, which varied systematically with classification. Also studied were the relationships between voice classification and the body height and weight and the body mass index. The data support the hypothesis that there are consistent morphological vocal tract differences between singers of different voice classifications.

Sentiment classification technology based on Markov logic networks

NASA Astrophysics Data System (ADS)

He, Hui; Li, Zhigang; Yao, Chongchong; Zhang, Weizhe

2016-07-01

With diverse online media emerging, there is a growing concern of sentiment classification problem. At present, text sentiment classification mainly utilizes supervised machine learning methods, which feature certain domain dependency. On the basis of Markov logic networks (MLNs), this study proposed a cross-domain multi-task text sentiment classification method rooted in transfer learning. Through many-to-one knowledge transfer, labeled text sentiment classification, knowledge was successfully transferred into other domains, and the precision of the sentiment classification analysis in the text tendency domain was improved. The experimental results revealed the following: (1) the model based on a MLN demonstrated higher precision than the single individual learning plan model. (2) Multi-task transfer learning based on Markov logical networks could acquire more knowledge than self-domain learning. The cross-domain text sentiment classification model could significantly improve the precision and efficiency of text sentiment classification.

[Landscape classification: research progress and development trend].

PubMed

Liang, Fa-Chao; Liu, Li-Ming

2011-06-01

Landscape classification is the basis of the researches on landscape structure, process, and function, and also, the prerequisite for landscape evaluation, planning, protection, and management, directly affecting the precision and practicability of landscape research. This paper reviewed the research progress on the landscape classification system, theory, and methodology, and summarized the key problems and deficiencies of current researches. Some major landscape classification systems, e. g. , LANMAP and MUFIC, were introduced and discussed. It was suggested that a qualitative and quantitative comprehensive classification based on the ideology of functional structure shape and on the integral consideration of landscape classification utility, landscape function, landscape structure, physiogeographical factors, and human disturbance intensity should be the major research directions in the future. The integration of mapping, 3S technology, quantitative mathematics modeling, computer artificial intelligence, and professional knowledge to enhance the precision of landscape classification would be the key issues and the development trend in the researches of landscape classification.

75 FR 55159 - Science and Technology Reinvention Laboratory (STRL) Personnel Management Demonstration Project...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-09-09

.... Above GS-15 Positions B. Classification 1. Occupational Series 2. Classification Standards and Position... Duty Locations Appendix B: Occupational Series by Occupational Family Appendix C: Intervention Model..., MD; Lakehurst, NJ; and Orlando, FL. These facilities support research, development, test, evaluation...

Qualitative properties of roasting defect beans and development of its classification methods by hyperspectral imaging technology.

PubMed

Cho, Jeong-Seok; Bae, Hyung-Jin; Cho, Byoung-Kwan; Moon, Kwang-Deog

2017-04-01

Qualitative properties of roasting defect coffee beans and their classification methods were studied using hyperspectral imaging (HSI). The roasting defect beans were divided into 5 groups: medium roasting (Cont), under developed (RD-1), over roasting (RD-2), interior under developed (RD-3), and interior scorching (RD-4). The following qualitative properties were assayed: browning index (BI), moisture content (MC), chlorogenic acid (CA), trigonelline (TG), and caffeine (CF) content. Their HSI spectra (1000-1700nm) were also analysed to develop the classification methods of roasting defect beans. RD-2 showed the highest BI and the lowest MC, CA, and TG content. The accuracy of classification model of partial least-squares discriminant was 86.2%. The most powerful wavelength to classify the defective beans was approximately 1420nm (related to OH bond). The HSI reflectance values at 1420nm showed similar tendency with MC, enabling the use of this technology to classify the roasting defect beans. Copyright © 2016. Published by Elsevier Ltd.

Predictors of Early Termination in a University Counseling Training Clinic

ERIC Educational Resources Information Center

Lampropoulos, Georgios K.; Schneider, Mercedes K.; Spengler, Paul M.

2009-01-01

Despite the existence of counseling dropout research, there are limited predictive data for counseling in training clinics. Potential predictor variables were investigated in this archival study of 380 client files in a university counseling training clinic. Multinomial logistic regression, predictive discriminant analysis, and classification and…

Study on vessel sewage treatment technologies

NASA Astrophysics Data System (ADS)

Shen, Wei; Xing, Guojing

2017-10-01

In this paper, the author, on the basis of his experience in researches of past years, discusses the status quo and classifications of vessel sewage treatment technology, analyzes problems plaguing current vessel sewage treatment and describes the focuses of development of vessel sewage treatment technology.

75 FR 8099 - Public Workshop on Marine Technology and Standards

Federal Register 2010, 2011, 2012, 2013, 2014

2010-02-23

... Technology and Standards AGENCY: Coast Guard, DHS. ACTION: Notice. SUMMARY: The American Society of...-day public workshop in Washington DC on marine technology and standards. This public workshop will provide a unique opportunity for classification societies, industry groups, standards development...

32 CFR 2400.9 - Classification requirements.

Code of Federal Regulations, 2014 CFR

2014-07-01

....9 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY... unauthorized disclosure as determined by the Director, Office of Science and Technology Policy. Each such...

32 CFR 2400.9 - Classification requirements.

Code of Federal Regulations, 2011 CFR

2011-07-01

....9 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY... unauthorized disclosure as determined by the Director, Office of Science and Technology Policy. Each such...

32 CFR 2400.9 - Classification requirements.

Code of Federal Regulations, 2012 CFR

2012-07-01

....9 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY... unauthorized disclosure as determined by the Director, Office of Science and Technology Policy. Each such...

32 CFR 2400.9 - Classification requirements.

Code of Federal Regulations, 2010 CFR

2010-07-01

....9 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY... unauthorized disclosure as determined by the Director, Office of Science and Technology Policy. Each such...

32 CFR 2400.9 - Classification requirements.

Code of Federal Regulations, 2013 CFR

2013-07-01

....9 National Defense Other Regulations Relating to National Defense OFFICE OF SCIENCE AND TECHNOLOGY POLICY REGULATIONS TO IMPLEMENT E.O. 12356; OFFICE OF SCIENCE AND TECHNOLOGY POLICY INFORMATION SECURITY... unauthorized disclosure as determined by the Director, Office of Science and Technology Policy. Each such...

UAS Detection Classification and Neutralization: Market Survey 2015

DOE Office of Scientific and Technical Information (OSTI.GOV)

Birch, Gabriel Carisle; Griffin, John Clark; Erdman, Matthew Kelly

The purpose of this document is to briefly frame the challenges of detecting low, slow, and small (LSS) unmanned aerial systems (UAS). The conclusion drawn from internal discussions and external reports is the following; detection of LSS UAS is a challenging problem that can- not be achieved with a single detection modality for all potential targets. Classification of LSS UAS, especially classification in the presence of background clutter (e.g., urban environment) or other non-threating targets (e.g., birds), is under-explored. Though information of avail- able technologies is sparse, many of the existing options for UAS detection appear to be in theirmore » infancy (when compared to more established ground-based air defense systems for larger and/or faster threats). Companies currently providing or developing technologies to combat the UAS safety and security problem are certainly worth investigating, however, no company has provided the statistical evidence necessary to support robust detection, identification, and/or neutralization of LSS UAS targets. The results of a market survey are included that highlights potential commercial entities that could contribute some technology that assists in the detection, classification, and neutral- ization of a LSS UAS. This survey found no clear and obvious commercial solution, though recommendations are given for further investigation of several potential systems.« less

Predictive Utility and Classification Accuracy of Oral Reading Fluency and the Measures of Academic Progress for the Wisconsin Knowledge and Concepts Exam

ERIC Educational Resources Information Center

Ball, Carrie R.; O'Connor, Edward

2016-01-01

This study examined the predictive validity and classification accuracy of two commonly used universal screening measures relative to a statewide achievement test. Results indicated that second-grade performance on oral reading fluency and the Measures of Academic Progress (MAP), together with special education status, explained 68% of the…

How Should Children with Speech Sound Disorders be Classified? A Review and Critical Evaluation of Current Classification Systems

ERIC Educational Resources Information Center

Waring, R.; Knight, R.

2013-01-01

Background: Children with speech sound disorders (SSD) form a heterogeneous group who differ in terms of the severity of their condition, underlying cause, speech errors, involvement of other aspects of the linguistic system and treatment response. To date there is no universal and agreed-upon classification system. Instead, a number of…

Deep multi-scale convolutional neural network for hyperspectral image classification

NASA Astrophysics Data System (ADS)

Zhang, Feng-zhe; Yang, Xia

2018-04-01

In this paper, we proposed a multi-scale convolutional neural network for hyperspectral image classification task. Firstly, compared with conventional convolution, we utilize multi-scale convolutions, which possess larger respective fields, to extract spectral features of hyperspectral image. We design a deep neural network with a multi-scale convolution layer which contains 3 different convolution kernel sizes. Secondly, to avoid overfitting of deep neural network, dropout is utilized, which randomly sleeps neurons, contributing to improve the classification accuracy a bit. In addition, new skills like ReLU in deep learning is utilized in this paper. We conduct experiments on University of Pavia and Salinas datasets, and obtained better classification accuracy compared with other methods.

The Future of Classification in Wheelchair Sports; Can Data Science and Technological Advancement Offer an Alternative Point of View?

PubMed

van der Slikke, Rienk M A; Bregman, Daan J J; Berger, Monique A M; de Witte, Annemarie M H; Veeger, Dirk-Jan H E J

2017-11-01

Classification is a defining factor for competition in wheelchair sports, but it is a delicate and time-consuming process with often questionable validity. 1 New inertial sensor based measurement methods applied in match play and field tests, allow for more precise and objective estimates of the impairment effect on wheelchair mobility performance. It was evaluated if these measures could offer an alternative point of view for classification. Six standard wheelchair mobility performance outcomes of different classification groups were measured in match play (n=29), as well as best possible performance in a field test (n=47). In match-results a clear relationship between classification and performance level is shown, with increased performance outcomes in each adjacent higher classification group. Three outcomes differed significantly between the low and mid-class groups, and one between the mid and high-class groups. In best performance (field test), a split between the low and mid-class groups shows (5 out of 6 outcomes differed significantly) but hardly any difference between the mid and high-class groups. This observed split was confirmed by cluster analysis, revealing the existence of only two performance based clusters. The use of inertial sensor technology to get objective measures of wheelchair mobility performance, combined with a standardized field-test, brought alternative views for evidence based classification. The results of this approach provided arguments for a reduced number of classes in wheelchair basketball. Future use of inertial sensors in match play and in field testing could enhance evaluation of classification guidelines as well as individual athlete performance.

Spectral-spatial classification using tensor modeling for cancer detection with hyperspectral imaging

NASA Astrophysics Data System (ADS)

Lu, Guolan; Halig, Luma; Wang, Dongsheng; Chen, Zhuo Georgia; Fei, Baowei

2014-03-01

As an emerging technology, hyperspectral imaging (HSI) combines both the chemical specificity of spectroscopy and the spatial resolution of imaging, which may provide a non-invasive tool for cancer detection and diagnosis. Early detection of malignant lesions could improve both survival and quality of life of cancer patients. In this paper, we introduce a tensor-based computation and modeling framework for the analysis of hyperspectral images to detect head and neck cancer. The proposed classification method can distinguish between malignant tissue and healthy tissue with an average sensitivity of 96.97% and an average specificity of 91.42% in tumor-bearing mice. The hyperspectral imaging and classification technology has been demonstrated in animal models and can have many potential applications in cancer research and management.

Technology in the Classroom versus Sustainability

ERIC Educational Resources Information Center

Knott, Cynthia L.; Steube, G.; Yang, Hongqiang

2013-01-01

The use of technology in universities and colleges is an issue of interest and speculation. One issue related to technology use in the classroom is sustainability of resources that support the technology. This paper explores faculty perceptions about technology use and sustainability in an east coast university. This university has initiated a new…

Bug Distribution and Pattern Classification.

DTIC Science & Technology

1985-07-15

Center Educational Psychology University of Leyden San Diego. CA 92152 Urbana. IL 61801 Education Research Center oernaavelaan 2 Dr. Erling B. Andersen...Dr. Dattprasad rlivgi 23314 EN Leyden Department of Statistics Syracuse University The NETHERLANDS 3tudiestraede 6 Department of Psychology 1455...Rebecca Hetter Learning R&D Center Navy Personnel R&D Center University of Pittsburgh Ms. Kathleen Moreno Code 62 Pittsburgh, PA 15260 Navy Personnel R

Research Support for the Laboratory for Lightwave Technology

DTIC Science & Technology

1992-12-31

34 .. . ."/ 12a. DISTRIBUTION AVAILABILITY STATEMENT 12b. DISTRIBUTION CODE UNLIMITED 13. ABSTRACT (Mawimum 200words) 4 SEE ATTACHED ABSTRACT DT I 14. SUBJECT...8217TERMS 15. NUMBER OF PAGES 16. PRICE CODE 17. SECURITY CLASSIFICATION 18. SECURITY CLASSIFICATION 19. SECURITY CLASSIFICATION 20. LIMITATION OF ABSTRACT...temperature ceramic nano- phase single crystal oxides that may be produced at a high rate . The synthesis of both glasses and ceramics using novel techniques

A Comparative Investigation on the Learning Efficacy of Mechatronic Technology between Academic and Vocational High School Students

ERIC Educational Resources Information Center

Jou, Min; Hung, Chen-Kang; Lai, Shih-Hung

2014-01-01

Universities in Taiwan can be divided into two major categories of comprehensive universities and technological universities. Students studying engineering majors in comprehensive universities are often recruited from academic high schools while those in technological universities tend to be recruited from vocational high schools. The purpose of…

Proposals for Enhancing the Auditory Presentation of Passive Sonar Information

DTIC Science & Technology

1994-11-01

Affecting Auditory Displays. NAVTRAEQUIPCEN 80-D-0011/0037-1, Eagle Technology Incorporated, Orlando FL, 1984. 8. MACMILLAN, N. A. and C. D. CREELMAN ... Psychology , Denver, CO, 1971. -7- P148988.PDF [Page: 14 of 15] SECURITY CLASSIFICATION OF FORM (Highest classification of Title, Abstract, Keywords

Towards automated spectroscopic tissue classification in thyroid and parathyroid surgery.

PubMed

Schols, Rutger M; Alic, Lejla; Wieringa, Fokko P; Bouvy, Nicole D; Stassen, Laurents P S

2017-03-01

In (para-)thyroid surgery iatrogenic parathyroid injury should be prevented. To aid the surgeons' eye, a camera system enabling parathyroid-specific image enhancement would be useful. Hyperspectral camera technology might work, provided that the spectral signature of parathyroid tissue offers enough specific features to be reliably and automatically distinguished from surrounding tissues. As a first step to investigate this, we examined the feasibility of wide band diffuse reflectance spectroscopy (DRS) for automated spectroscopic tissue classification, using silicon (Si) and indium-gallium-arsenide (InGaAs) sensors. DRS (350-1830 nm) was performed during (para-)thyroid resections. From the acquired spectra 36 features at predefined wavelengths were extracted. The best features for classification of parathyroid from adipose or thyroid were assessed by binary logistic regression for Si- and InGaAs-sensor ranges. Classification performance was evaluated by leave-one-out cross-validation. In 19 patients 299 spectra were recorded (62 tissue sites: thyroid = 23, parathyroid = 21, adipose = 18). Classification accuracy of parathyroid-adipose was, respectively, 79% (Si), 82% (InGaAs) and 97% (Si/InGaAs combined). Parathyroid-thyroid classification accuracies were 80% (Si), 75% (InGaAs), 82% (Si/InGaAs combined). Si and InGaAs sensors are fairly accurate for automated spectroscopic classification of parathyroid, adipose and thyroid tissues. Combination of both sensor technologies improves accuracy. Follow-up research, aimed towards hyperspectral imaging seems justified. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Building the interspace: Digital library infrastructure for a University Engineering Community

DOE Office of Scientific and Technical Information (OSTI.GOV)

Schatz, B.

A large-scale digital library is being constructed and evaluated at the University of Illinois, with the goal of bringing professional search and display to Internet information services. A testbed planned to grow to 10K documents and 100K users is being constructed in the Grainger Engineering Library Information Center, as a joint effort of the University Library and the National Center for Supercomputing Applications (NCSA), with evaluation and research by the Graduate School of Library and Information Science and the Department of Computer Science. The electronic collection will be articles from engineering and science journals and magazines, obtained directly from publishersmore » in SGML format and displayed containing all text, figures, tables, and equations. The publisher partners include IEEE Computer Society, AIAA (Aerospace Engineering), American Physical Society, and Wiley & Sons. The software will be based upon NCSA Mosaic as a network engine connected to commercial SGML displayers and full-text searchers. The users will include faculty/students across the midwestern universities in the Big Ten, with evaluations via interviews, surveys, and transaction logs. Concurrently, research into scaling the testbed is being conducted. This includes efforts in computer science, information science, library science, and information systems. These efforts will evaluate different semantic retrieval technologies, including automatic thesaurus and subject classification graphs. New architectures will be designed and implemented for a next generation digital library infrastructure, the Interspace, which supports interaction with information spread across information spaces within the Net.« less

Optical Laser Technology, Specifically CD-ROM (Compact Disc - Read Only Memory) and Its Application to the Storage and Retrieval of Information.

DTIC Science & Technology

1987-06-01

RESOLUTION TEST CHART NATIONAL BUREAU OF STANDARIS-1963-A gT~ ILE CE NAVAL POSTGRADUATE SCHOOL Monterey, California ;.CTE THESIS uEOIB OPTICAL LASER... usedin it xr~awsd SECURITY CLASSIFICATION Of ’-IS5 PACTF All other edtoni are obsolete 0’ NC TA? 7RI UNCLASSIFIED S3CUNTY CLASSIFICATION OF THIS PA69 (WhI...where the resulting mixture of text, color graphics, animation , and audio can be achieved. This technology is in the formative stages, however it is

Interactive Classification Technology

NASA Technical Reports Server (NTRS)

deBessonet, Cary

2000-01-01

The investigators upgraded a knowledge representation language called SL (Symbolic Language) and an automated reasoning system called SMS (Symbolic Manipulation System) to enable the more effective use of the technologies in automated reasoning and interactive classification systems. The overall goals of the project were: 1) the enhancement of the representation language SL to accommodate a wider range of meaning; 2) the development of a default inference scheme to operate over SL notation as it is encoded; and 3) the development of an interpreter for SL that would handle representations of some basic cognitive acts and perspectives.

Advanced microprocessor based power protection system using artificial neural network techniques

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chen, Z.; Kalam, A.; Zayegh, A.

This paper describes an intelligent embedded microprocessor based system for fault classification in power system protection system using advanced 32-bit microprocessor technology. The paper demonstrates the development of protective relay to provide overcurrent protection schemes for fault detection. It also describes a method for power fault classification in three-phase system based on the use of neural network technology. The proposed design is implemented and tested on a single line three phase power system in power laboratory. Both the hardware and software development are described in detail.

40 CFR 68.65 - Process safety information.

Code of Federal Regulations, 2010 CFR

2010-07-01

... to the technology of the process, and information pertaining to the equipment in the process. (b...) Information pertaining to the technology of the process. (1) Information concerning the technology of the...) Electrical classification; (iv) Relief system design and design basis; (v) Ventilation system design; (vi...

40 CFR 68.65 - Process safety information.

Code of Federal Regulations, 2014 CFR

2014-07-01

... to the technology of the process, and information pertaining to the equipment in the process. (b...) Information pertaining to the technology of the process. (1) Information concerning the technology of the...) Electrical classification; (iv) Relief system design and design basis; (v) Ventilation system design; (vi...

40 CFR 68.65 - Process safety information.

Code of Federal Regulations, 2013 CFR

2013-07-01

... to the technology of the process, and information pertaining to the equipment in the process. (b...) Information pertaining to the technology of the process. (1) Information concerning the technology of the...) Electrical classification; (iv) Relief system design and design basis; (v) Ventilation system design; (vi...

Identifying type 1 and type 2 diabetic cases using administrative data: a tree-structured model.

PubMed

Lo-Ciganic, Weihsuan; Zgibor, Janice C; Ruppert, Kristine; Arena, Vincent C; Stone, Roslyn A

2011-05-01

To date, few administrative diabetes mellitus (DM) registries have distinguished type 1 diabetes mellitus (T1DM) from type 2 diabetes mellitus (T2DM). Using a classification tree model, a prediction rule was developed to distinguish T1DM from T2DM in a large administrative database. The Medical Archival Retrieval System at the University of Pittsburgh Medical Center included administrative and clinical data from January 1, 2000, through September 30, 2009, for 209,647 DM patients aged ≥18 years. Probable cases (8,173 T1DM and 125,111 T2DM) were identified by applying clinical criteria to administrative data. Nonparametric classification tree models were fit using TIBCO Spotfire S+ 8.1 (TIBCO Software), with model size based on 10-fold cross validation. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of T1DM were estimated. The main predictors that distinguished T1DM from T2DM are age <40 years; International Classification of Disease, 9th revision, codes of T1DM or T2DM diagnosis; inpatient oral hypoglycemic agent use; inpatient insulin use; and episode(s) of diabetic ketoacidosis diagnosis. Compared with a complex clinical algorithm, the tree-structured model to predict T1DM had 92.8% sensitivity, 99.3% specificity, 89.5% PPV, and 99.5% NPV. The preliminary predictive rule appears to be promising. Being able to distinguish between DM subtypes in administrative databases will allow large-scale subtype-specific analyses of medical care costs, morbidity, and mortality. © 2011 Diabetes Technology Society.

A Classification of Genre Families in University Student Writing

ERIC Educational Resources Information Center

Gardner, Sheena; Nesi, Hilary

2013-01-01

As demand for English-medium higher education continues to grow internationally and participation in higher education increases, the need for a better understanding of academic writing is pressing. Prior university wide taxonomies of student writing have relied on intuition, the opinions of faculty, or data from course documentation and task…

The Management of Multicampus Institutions: Some Conceptual Issues in Historical and Social Context.

ERIC Educational Resources Information Center

Meek, Lynn

1992-01-01

Some ways of classifying multicampus universities in terms of administrative structure are examined and applied to Australian universities. Advantages and disadvantages of multicampus colleges are analyzed, and issues of management, governance, and authority are discussed. It is suggested that classification offers a point of departure for…

Academic Culture, Business Culture, and Measuring Achievement Differences: Internal Auditing Views

ERIC Educational Resources Information Center

Roth, Benjamin S.

2012-01-01

This study explored whether university internal audit directors' views of culture and measuring achievement differences between their institutions and a business were related to how they viewed internal auditing priorities and uses. The Carnegie Classification system's 283 Doctorate-granting Universities were the target population.…

Meeting the Information Needs of Interdisciplinary Scholars: Issues for Administrators of Large University Libraries.

ERIC Educational Resources Information Center

Searing, Susan E.

1996-01-01

Provides an overview of administrative issues in supporting interdisciplinary library use at large universities. Topics include information resources; cataloging and classification; library services to users, including library use education and reference services; library organization; the campus context; and the politics of interdisciplinarity.…

An Exploratory Study of Student Satisfaction with University Web Page Design

ERIC Educational Resources Information Center

Gundersen, David E.; Ballenger, Joe K.; Crocker, Robert M.; Scifres, Elton L.; Strader, Robert

2013-01-01

This exploratory study evaluates the satisfaction of students with a web-based information system at a medium-sized regional university. The analysis provides a process for simplifying data interpretation in captured student user feedback. Findings indicate that student classifications, as measured by demographic and other factors, determine…

Quality-based Multimodal Classification Using Tree-Structured Sparsity

DTIC Science & Technology

2014-03-08

Pennsylvania State University soheil@psu.edu Asok Ray Pennsylvania State University axr2@psu.edu@psu.edu Nasser M. Nasrabadi Army Research Laboratory...clustering for on- line fault detection and isolation. Applied Intelligence, 35(2):269–284, 2011. 4 [2] S. Bahrampour, A. Ray , S. Sarkar, T. Damarla, and N

Investigating Metacognitive Awareness and Reading Strategy Use of EFL Korean University Students

ERIC Educational Resources Information Center

Hong-Nam, Kay; Page, Larkin

2014-01-01

The metacognitive awareness and reading strategy use by Korean university students in Korea was investigated. The relationships between reading strategy use, self-rated English proficiency, and self-rated reading proficiency were examined. Differences in reading strategy use were also explored by gender and academic classification. Problem-solving…

Browsing Your Virtual Library: The Case of Expanding Universe.

ERIC Educational Resources Information Center

Daniels, Wayne; Enright, Jeanne; Mackenzie, Scott

1997-01-01

Describes "Expanding Universe: a classified search tool for amateur astronomy," a Web site maintained by the Metropolitan Toronto Reference Library which uses a modified form of the Dewey Decimal Classification to organize a large file of astronomy hotlinks. Highlights include structure, HTML coding, design requirements, and future…

Participation in the Center for Advanced Processing and Packaging Studies

DTIC Science & Technology

2009-11-24

University, the University ofCalifomia, Davis, and North Carolina State University to assist in advancing food processing and packaging technology and...University, the University of California, Davis, and North Carolina State University to assist in advancing food processing and packaging technology and...amyloliquefaciens, spore inactivation, FT-IR spectroscopy, infrared 11 spectroscopy 12 13 14 15 16 17 Department of Food Science and Technology

The Private Sector/University Technology Alliance: Making It Work. Proceedings of a Conference of the National Council of University Research Administrators (Dallas, Texas, September 4-7, 1984).

ERIC Educational Resources Information Center

Freise, Earl J., Ed.

The transfer of technology from U.S. research universities in cooperation with the private sector is addressed in proceedings of a National Council of University Research Administrators conference. The first discussion session, "New Technology from University Research and Development (R&D)," examines the university research…

Addition of Histology to the Paris Classification of Pediatric Crohn Disease Alters Classification of Disease Location.

PubMed

Fernandes, Melissa A; Verstraete, Sofia G; Garnett, Elizabeth A; Heyman, Melvin B

2016-02-01

The aim of the study was to investigate the value of microscopic findings in the classification of pediatric Crohn disease (CD) by determining whether classification of disease changes significantly with inclusion of histologic findings. Sixty patients were randomly selected from a cohort of patients studied at the Pediatric Inflammatory Bowel Disease Clinic at the University of California, San Francisco Benioff Children's Hospital. Two physicians independently reviewed the electronic health records of the included patients to determine the Paris classification for each patient by adhering to present guidelines and then by including microscopic findings. Macroscopic and combined disease location classifications were discordant in 34 (56.6%), with no statistically significant differences between groups. Interobserver agreement was higher in the combined classification (κ = 0.73, 95% confidence interval 0.65-0.82) as opposed to when classification was limited to macroscopic findings (κ = 0.53, 95% confidence interval 0.40-0.58). When evaluating the proximal upper gastrointestinal tract (Paris L4a), the interobserver agreement was better in macroscopic compared with the combined classification. Disease extent classifications differed significantly when comparing isolated macroscopic findings (Paris classification) with the combined scheme that included microscopy. Further studies are needed to determine which scheme provides more accurate representation of disease extent.

Recovering and recycling Hg from chlor-alkali plant wastewater sludge

NASA Astrophysics Data System (ADS)

Twidwell, L. G.; Thompson, R. J.

2001-01-01

Montana Tech of the University of Montana and Universal Dynamics of British Columbia have developed a hydrometallurgical process for recovering and recycling mercury from chlorine plant wastewater sludge materials (U.S. Environmental Protection Agency [EPA]hazardous-waste classification K106). The hydrometallurgical process is also applicable for the treatment of mercury-contaminated soils (EPA hazardous waste classification D009) and other mercury-bearing waste materials. The process, which is capable of lowering the mercury content in the K106 solids from 10% to <50 mg/kg Hg, has been commercialized and utilized at three U.S. plants. This paper describes the fundamental chemistry of the process, the flowsheet being used, and operating plant case histories.

A Study on the Role of Web Technology in Enhancing Research Pursuance among University Academia

ERIC Educational Resources Information Center

Hussain, Irshad; Durrani, Muhammad Ismail

2012-01-01

The purpose of this study was to evaluate the role of web technologies in promoting research pursuance among university teachers, examine the use of web technologies by university teachers in conducting research and identify the problems of university academia in using web technologies for research. The study was delimited to academia of social…

Development of a spatially universal framework for classifying stream assemblages with application to conservation planning for Great Lakes lotic fish communities

USGS Publications Warehouse

McKenna, James E.; Schaeffer, Jeffrey S.; Stewart, Jana S.; Slattery, Michael T.

2015-01-01

Classifications are typically specific to particular issues or areas, leading to patchworks of subjectively defined spatial units. Stream conservation is hindered by the lack of a universal habitat classification system and would benefit from an independent hydrology-guided spatial framework of units encompassing all aquatic habitats at multiple spatial scales within large regions. We present a system that explicitly separates the spatial framework from any particular classification developed from the framework. The framework was constructed from landscape variables that are hydrologically and biologically relevant, covered all space within the study area, and was nested hierarchically and spatially related at scales ranging from the stream reach to the entire region; classifications may be developed from any subset of the 9 basins, 107 watersheds, 459 subwatersheds, or 10,000s of valley segments or stream reaches. To illustrate the advantages of this approach, we developed a fish-guided classification generated from a framework for the Great Lakes region that produced a mosaic of habitat units which, when aggregated, formed larger patches of more general conditions at progressively broader spatial scales. We identified greater than 1,200 distinct fish habitat types at the valley segment scale, most of which were rare. Comparisons of biodiversity and species assemblages are easily examined at any scale. This system can identify and quantify habitat types, evaluate habitat quality for conservation and/or restoration, and assist managers and policymakers with prioritization of protection and restoration efforts. Similar spatial frameworks and habitat classifications can be developed for any organism in any riverine ecosystem.

Classification of an unidentified meteorite through TXRF technique and the chemical comparison with a known meteorite

NASA Astrophysics Data System (ADS)

Zaki, Wafaa

2013-12-01

Meteorites, space rocks, are characterized by several distinctive properties that distinguish them from terrestrial (Earth) rocks. Meteorites may have all or most of such properties. Sometimes, meteorite characterization requires detailed chemical analyses. Two types of meteorites were studied and chemically analyzed. One, had already been located and listed internationally (AL-Taamem Meteorite77). The other one is not listed yet as it fell in 1993 at the northern Kurdistan region of Iraq. The chemical analysis of grinded meteorite was conducted using TXRF technique. The analysis involved the utilization of one type of carrier and one type of disks (quartz). High purity silicon was used for fixing the meteorite powder onto the quartz glass disks for vacuum uses. Each sample test was carried out twice using the Bruker S2 Picofox TXRF instrument (for 600s). The spectra were investigated and several indicative characteristics were concluded. The samples were identified as meteorite, particularly for the appearance of the typical nickel peak near the iron peak in the spectra. This is in accordance with the method of classification of meteorites and by comparison between the listed and unlisted samples. All these analyses were conducted in the laboratories of Chemistry for Technologies in Brescia University, Italy).

A Pan-HIV Strategy for Complete Genome Sequencing

PubMed Central

Yamaguchi, Julie; Alessandri-Gradt, Elodie; Tell, Robert W.; Brennan, Catherine A.

2015-01-01

Molecular surveillance is essential to monitor HIV diversity and track emerging strains. We have developed a universal library preparation method (HIV-SMART [i.e., switching mechanism at 5′ end of RNA transcript]) for next-generation sequencing that harnesses the specificity of HIV-directed priming to enable full genome characterization of all HIV-1 groups (M, N, O, and P) and HIV-2. Broad application of the HIV-SMART approach was demonstrated using a panel of diverse cell-cultured virus isolates. HIV-1 non-subtype B-infected clinical specimens from Cameroon were then used to optimize the protocol to sequence directly from plasma. When multiplexing 8 or more libraries per MiSeq run, full genome coverage at a median ∼2,000× depth was routinely obtained for either sample type. The method reproducibly generated the same consensus sequence, consistently identified viral sequence heterogeneity present in specimens, and at viral loads of ≤4.5 log copies/ml yielded sufficient coverage to permit strain classification. HIV-SMART provides an unparalleled opportunity to identify diverse HIV strains in patient specimens and to determine phylogenetic classification based on the entire viral genome. Easily adapted to sequence any RNA virus, this technology illustrates the utility of next-generation sequencing (NGS) for viral characterization and surveillance. PMID:26699702

Non-Invasive Detection of CH-46 AFT Gearbox Faults Using Digital Pattern Recognition and Classification Techniques

DTIC Science & Technology

1999-05-05

processing and artificial neural network (ANN) technology. The detector will classify incipient faults based on real-tine vibration data taken from the...provided the vibration data necessary to develop and test the feasibility of en artificial neural network for fault classification. This research

42 CFR 412.620 - Patient classification system.

Code of Federal Regulations, 2013 CFR

2013-10-01

... weighting factors to reflect changes in— (1) Treatment patterns; (2) Technology; (3) Number of discharges... 42 Public Health 2 2013-10-01 2013-10-01 false Patient classification system. 412.620 Section 412... rehabilitation facilities into mutually exclusive case-mix groups. (2) For purposes of this subpart, case-mix...

42 CFR 412.620 - Patient classification system.

Code of Federal Regulations, 2012 CFR

2012-10-01

... weighting factors to reflect changes in— (1) Treatment patterns; (2) Technology; (3) Number of discharges... 42 Public Health 2 2012-10-01 2012-10-01 false Patient classification system. 412.620 Section 412... rehabilitation facilities into mutually exclusive case-mix groups. (2) For purposes of this subpart, case-mix...

42 CFR 412.620 - Patient classification system.

Code of Federal Regulations, 2014 CFR

2014-10-01

... weighting factors to reflect changes in— (1) Treatment patterns; (2) Technology; (3) Number of discharges... 42 Public Health 2 2014-10-01 2014-10-01 false Patient classification system. 412.620 Section 412... rehabilitation facilities into mutually exclusive case-mix groups. (2) For purposes of this subpart, case-mix...

CONTINUOUS MICRO-SORTING OF COMPLEX WASTE PLASTICS PARTICLEMIXTURES VIA LIQUID-FLUIDIZED BED CLASSIFICATION (LFBC) FOR WASTE MINIMIZATIONAND RECYCLING

EPA Science Inventory

A fundamental investigation is proposed to provide a technical basis for the development of a novel, liquid-fluidized bed classification (LFBC) technology for the continuous separation of complex waste plastic mixtures for in-process recycling and waste minimization. Although ...

Behavioral Variability, Learning Processes, and Creativity

DTIC Science & Technology

1990-09-01

Nursery Schools . ~ 9-10 y.o. subjects, at the concrete operative stage and coming from Primary Schools . - 14-15 y.o. subjects, at the formal thought...stage and coming from General Secondary Schools (no Technical School subject has been considered). - Adults, students at the University. Cognitive...classifications combine in a single situation, the operations of seiation and of classification, as approached in the classical Piaget’s procedures

Assessing College Student Interest in Math and/or Computer Science in a Cross-National Sample Using Classification and Regression Trees

ERIC Educational Resources Information Center

Kitsantas, Anastasia; Kitsantas, Panagiota; Kitsantas, Thomas

2012-01-01

The purpose of this exploratory study was to assess the relative importance of a number of variables in predicting students' interest in math and/or computer science. Classification and regression trees (CART) were employed in the analysis of survey data collected from 276 college students enrolled in two U.S. and Greek universities. The results…

Myths and legends in learning classification rules

NASA Technical Reports Server (NTRS)

Buntine, Wray

1990-01-01

A discussion is presented of machine learning theory on empirically learning classification rules. Six myths are proposed in the machine learning community that address issues of bias, learning as search, computational learning theory, Occam's razor, universal learning algorithms, and interactive learning. Some of the problems raised are also addressed from a Bayesian perspective. Questions are suggested that machine learning researchers should be addressing both theoretically and experimentally.

Project DIPOLE WEST - Multiburst Environment (Non-Simultaneous Detonations)

DTIC Science & Technology

1976-09-01

PAGE (WIMn Dat• Bntered) Unclassified SECURITY CLASSIFICATION OP’ THIS PAGE(ft• Data .Bnt......, 20. Abstract Purpose of the series was to obtain...HULL hydrodynamic air blast code show good correlation. UNCLASSIFIED SECUFUTY CLASSIFICATION OF THIS PA.GE(When Date Bntered) • • 1...supervision. Contributions were also made by Dr. John Dewey, University of Victoria; Mr. A. P. R. Lambert, Canadian General Electric; Mr. Charles Needham

Engineering Design Handbook. Development Guide for Reliability. Part 6. Mathematical Appendix and Glossary

DTIC Science & Technology

1976-01-08

Corps, nonmilitary Government agencies, contractors, private industry, individuals, universities , and others must purchase these Handbooks from...verified by an official Department of Army representative and processed from Defense Documentation Center ( DDC ), ATTN: DDC -TSR, Cameron Station...tell, by looking at a failed item, what classification of failure is involved. Some of the classifications are for mathematical conven- ience only

A heuristic multi-criteria classification approach incorporating data quality information for choropleth mapping

PubMed Central

Sun, Min; Wong, David; Kronenfeld, Barry

2016-01-01

Despite conceptual and technology advancements in cartography over the decades, choropleth map design and classification fail to address a fundamental issue: estimates that are statistically indifferent may be assigned to different classes on maps or vice versa. Recently, the class separability concept was introduced as a map classification criterion to evaluate the likelihood that estimates in two classes are statistical different. Unfortunately, choropleth maps created according to the separability criterion usually have highly unbalanced classes. To produce reasonably separable but more balanced classes, we propose a heuristic classification approach to consider not just the class separability criterion but also other classification criteria such as evenness and intra-class variability. A geovisual-analytic package was developed to support the heuristic mapping process to evaluate the trade-off between relevant criteria and to select the most preferable classification. Class break values can be adjusted to improve the performance of a classification. PMID:28286426

Modular Universal Scalable Ion-trap Quantum Computer

DTIC Science & Technology

2016-06-02

SECURITY CLASSIFICATION OF: The main goal of the original MUSIQC proposal was to construct and demonstrate a modular and universally- expandable ion...Distribution Unlimited UU UU UU UU 02-06-2016 1-Aug-2010 31-Jan-2016 Final Report: Modular Universal Scalable Ion-trap Quantum Computer The views...P.O. Box 12211 Research Triangle Park, NC 27709-2211 Ion trap quantum computation, scalable modular architectures REPORT DOCUMENTATION PAGE 11

Discrimination Level of Students' Ratio, Number of Students per Faculty Member and Article Scores Indicators According to Place of Turkish Universities in International Ranking Systems

ERIC Educational Resources Information Center

Özkan, Metin

2016-01-01

The aim of this research is to determine classification in which the level of accuracy in Turkish universities rankings is detected by the international assessments according to the independent variables PhD students ratio, the number of students per faculty member and the article scores. The data of research were obtained from University Ranking…

Center for Nonlinear Phenomena and Magnetic Materials

DTIC Science & Technology

1992-12-04

S) AND ADDRESS(ES) B. PERFORMING ORGANIZATION Howard University /ComSERC REPORT NUMBER 2216 6th St., N.W. Suite 205 NA Washington, D.C. 20059 9...contract on the research environment at Howard University 14. SUBJECT TERMS 15. NUMBER OF PAGES 16. PRICE CODE 17. SECURITY CLASSIFICATION 18. SECURITY...October 25, 1991: Dr. Gerald Chachere, Math Dept., Howard University . Visualization - Improved Marching Cubes. January 27, 1992: Dr. Gerald Chachere, Math

University Researchers Contributing to Technology Markets 1900-85. A Long-Term Analysis of Academic Patenting in Finland

ERIC Educational Resources Information Center

Kaataja, Sampsa

2011-01-01

Regardless of the increased interest in technological innovation in universities, relatively little is known about the technology developed by academic scientists. Long-term analyses of researchers' technological contribution are notably missing. This paper examines university-based technology in Finland during the period 1900-85. The focus is on…

Giving up Technology and Social Media: Why University Lecturers Stop Using Technology in Teaching

ERIC Educational Resources Information Center

Shelton, Chris

2017-01-01

University lecturers use a wide range of technologies when teaching and there has been much research into how particular technologies are adopted. However, there are also many technologies that, despite early promise, are no longer being used in university teaching and have been abandoned by institutions or individuals. This article presents the…

Building Multicultural Awareness in University Students Using Synchronous Technology

ERIC Educational Resources Information Center

Stork, Michele Garabedian; Zhang, Jingshun; Wang, Charles Xiaoxue

2018-01-01

To explore the potential for building multicultural awareness in university students using synchronous technology, faculty members from an American regional state university and a Chinese regional university collaborated to find appropriate ways to integrate synchronous technology (e.g., Adobe Connect) into a teacher education program in the…

The development of Version 2 of the AN-SNAP casemix classification system.

PubMed

Green, Janette; Gordon, Robert

2007-04-01

This paper presents the results of a recent review of the Australian National Sub-acute and Non-acute Patient (AN-SNAP) classification system. The AN-SNAP system was developed by the Centre for Health Service Development, University of Wollongong in 1997. The review was conducted between August 2005 and September 2006. Four clinical sub-committees comprising more than 50 clinicians from sub-acute services across New South Wales as well as representatives from Queensland and the Australian Capital Territory were established to develop a set of proposals to be considered for incorporation into Version 2 of the classification. It is proposed that the final AN-SNAP Version 2 classification will be available for implementation from 1 July 2007.

Commission 45: Spectral Classification

NASA Astrophysics Data System (ADS)

Giridhar, Sunetra; Gray, Richard O.; Corbally, Christopher J.; Bailer-Jones, Coryn A. L.; Eyer, Laurent; Irwin, Michael J.; Kirkpatrick, J. Davy; Majewski, Steven; Minniti, Dante; Nordström, Birgitta

This report gives an update of developments (since the last General Assembly at Prague) in the areas that are of relevance to the commission. In addition to numerous papers, a new monograph entitled Stellar Spectral Classification with Richard Gray and Chris Corbally as leading authors will be published by Princeton University Press as part of their Princeton Series in Astrophysics in April 2009. This book is an up-to-date and encyclopedic review of stellar spectral classification across the H-R diagram, including the traditional MK system in the blue-violet, recent extensions into the ultraviolet and infrared, the newly defined L-type and T-type spectral classes, as well as spectral classification of carbon stars, S-type stars, white dwarfs, novae, supernovae and Wolf-Rayet stars.

Structural Validation of Nursing Terminologies

PubMed Central

Hardiker, Nicholas R.; Rector, Alan L.

2001-01-01

Objective: The purpose of the study is twofold: 1) to explore the applicability of combinatorial terminologies as the basis for building enumerated classifications, and 2) to investigate the usefulness of formal terminological systems for performing such classification and for assisting in the refinement of both combinatorial terminologies and enumerated classifications. Design: A formal model of the beta version of the International Classification for Nursing Practice (ICNP) was constructed in the compositional terminological language GRAIL (GALEN Representation and Integration Language). Terms drawn from the North American Nursing Diagnosis Association Taxonomy I (NANDA taxonomy) were mapped into the model and classified automatically using GALEN technology. Measurements: The resulting generated hierarchy was compared with the NANDA taxonomy to assess coverage and accuracy of classification. Results: In terms of coverage, in this study ICNP was able to capture 77 percent of NANDA terms using concepts drawn from five of its eight axes. Three axes—Body Site, Topology, and Frequency—were not needed. In terms of accuracy, where hierarchic relationships existed in the generated hierarchy or the NANDA taxonomy, or both, 6 were identical, 19 existed in the generated hierarchy alone (2 of these were considered suitable for incorporation into the NANDA taxonomy and 17 were considered inaccurate), and 23 appeared in the NANDA taxonomy alone (8 of these were considered suitable for incorporation into ICNP, 9 were considered inaccurate, and 6 reflected different, equally valid perspectives). Sixty terms appeared at the top level, with no indenting, in both the generated hierarchy and the NANDA taxonomy. Conclusions: With appropriate refinement, combinatorial terminologies such as ICNP have the potential to provide a useful foundation for representing enumerated classifications such as NANDA. Technologies such as GALEN make possible the process of building automatically enumerated classifications while providing a useful means of validating and refining both combinatorial terminologies and enumerated classifications. PMID:11320066

Automated structural classification of lipids by machine learning.

PubMed

Taylor, Ryan; Miller, Ryan H; Miller, Ryan D; Porter, Michael; Dalgleish, James; Prince, John T

2015-03-01

Modern lipidomics is largely dependent upon structural ontologies because of the great diversity exhibited in the lipidome, but no automated lipid classification exists to facilitate this partitioning. The size of the putative lipidome far exceeds the number currently classified, despite a decade of work. Automated classification would benefit ongoing classification efforts by decreasing the time needed and increasing the accuracy of classification while providing classifications for mass spectral identification algorithms. We introduce a tool that automates classification into the LIPID MAPS ontology of known lipids with >95% accuracy and novel lipids with 63% accuracy. The classification is based upon simple chemical characteristics and modern machine learning algorithms. The decision trees produced are intelligible and can be used to clarify implicit assumptions about the current LIPID MAPS classification scheme. These characteristics and decision trees are made available to facilitate alternative implementations. We also discovered many hundreds of lipids that are currently misclassified in the LIPID MAPS database, strongly underscoring the need for automated classification. Source code and chemical characteristic lists as SMARTS search strings are available under an open-source license at https://www.github.com/princelab/lipid_classifier. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

[Identification of green tea brand based on hyperspectra imaging technology].

PubMed

Zhang, Hai-Liang; Liu, Xiao-Li; Zhu, Feng-Le; He, Yong

2014-05-01

Hyperspectral imaging technology was developed to identify different brand famous green tea based on PCA information and image information fusion. First 512 spectral images of six brands of famous green tea in the 380 approximately 1 023 nm wavelength range were collected and principal component analysis (PCA) was performed with the goal of selecting two characteristic bands (545 and 611 nm) that could potentially be used for classification system. Then, 12 gray level co-occurrence matrix (GLCM) features (i. e., mean, covariance, homogeneity, energy, contrast, correlation, entropy, inverse gap, contrast, difference from the second-order and autocorrelation) based on the statistical moment were extracted from each characteristic band image. Finally, integration of the 12 texture features and three PCA spectral characteristics for each green tea sample were extracted as the input of LS-SVM. Experimental results showed that discriminating rate was 100% in the prediction set. The receiver operating characteristic curve (ROC) assessment methods were used to evaluate the LS-SVM classification algorithm. Overall results sufficiently demonstrate that hyperspectral imaging technology can be used to perform classification of green tea.

Chemical action: what is it, and why does it really matter?

NASA Astrophysics Data System (ADS)

Koolage, W. John; Hall, Ralph

2011-04-01

Nanotechnology, as with many technologies before it, places a strain on existing legislation and poses a challenge to all administrative agencies tasked with regulating technology-based products. It is easy to see how statutory schemes become outdated, as our ability to understand and affect the world progresses. In this article, we address the regulatory problems that nanotechnology posses for the Food and Drug Administration's (FDA) classification structure for "drugs" and "devices." The last major modification to these terms was in 1976, with the enactment of the Medical Device Amendments. There are serious practical differences for a classification as a drug or device in terms of time to market and research. Drugs are classified, primarily, as acting by "chemical action." We lay out some legal, philosophic, and scientific tools that serve to provide a useful, as well as legally and scientifically faithful, distinction between drugs and devices for the purpose of regulatory classification. These issues we raise are worth the consideration of anyone who is interested in the regulation of nano-products or other novel technologies.

Classification of unconscious like/dislike decisions: First results towards a novel application for BCI technology.

PubMed

Wriessnegger, S C; Hackhofer, D; Muller-Putz, G R

2015-01-01

More and more applications for BCI technology emerge that are not restricted to communication or control, like gaming, rehabilitation, Neuro-IS research, neuro-economics or security. In this context a so called passive BCI, a system that derives its outputs from arbitrary brain activity for enriching a human-machine interaction with implicit information on the actual user state will be used. Concretely EEG-based BCI technology enables the use of signals related to attention, intentions and mental state, without relying on indirect measures based on overt behavior or other physiological signals which is an important point e.g. in Neuromarketing research. The scope of this pilot EEG-study was to detect like/dislike decisions on car stimuli just by means of ERP analysis. Concretely to define user preferences concerning different car designs by implementing an offline BCI based on shrinkage LDA classification. Although classification failed in the majority of participants the elicited early (sub) conscious ERP components reflect user preferences for cars. In a broader sense this study should pave the way towards a "product design BCI" suitable for neuromarketing research.

American College of Cardiology/American Heart Association/European Society of Cardiology/World Heart Federation universal definition of myocardial infarction classification system and the risk of cardiovascular death: observations from the TRITON-TIMI 38 trial (Trial to Assess Improvement in Therapeutic Outcomes by Optimizing Platelet Inhibition With Prasugrel-Thrombolysis in Myocardial Infarction 38).

PubMed

Bonaca, Marc P; Wiviott, Stephen D; Braunwald, Eugene; Murphy, Sabina A; Ruff, Christian T; Antman, Elliott M; Morrow, David A

2012-01-31

The availability of more sensitive biomarkers of myonecrosis and a new classification system from the universal definition of myocardial infarction (MI) have led to evolution of the classification of MI. The prognostic implications of MI defined in the current era have not been well described. We investigated the association between new or recurrent MI by subtype according to the European Society of Cardiology/American College of Cardiology/American Heart Association/World Health Federation Task Force for the Redefinition of MI Classification System and the risk of cardiovascular death among 13 608 patients with acute coronary syndrome in the Trial to Assess Improvement in Therapeutic Outcomes by Optimizing Platelet Inhibition with Prasugrel-Thrombolysis in Myocardial Infarction 38 (TRITON-TIMI 38). The adjusted risk of cardiovascular death was evaluated by landmark analysis starting at the time of the MI through 180 days after the event. Patients who experienced an MI during follow-up had a higher risk of cardiovascular death at 6 months than patients without an MI (6.5% versus 1.3%, P<0.001). This higher risk was present across all subtypes of MI, including type 4a (peri-percutaneous coronary intervention, 3.2%; P<0.001) and type 4b (stent thrombosis, 15.4%; P<0.001). After adjustment for important clinical covariates, the occurrence of any MI was associated with a 5-fold higher risk of death at 6 months (95% confidence interval 3.8-7.1), with similarly increased risk across subtypes. MI is associated with a significantly increased risk of cardiovascular death, with a consistent relationship across all types as defined by the universal classification system. These findings underscore the clinical relevance of these events and the importance of therapies aimed at preventing MI.

Utilization of Information and Communication Technology (ICT) Resources and Job Effectiveness among Library Staff in the University of Calabar and Cross River University of Technology, Nigeria

ERIC Educational Resources Information Center

Ntui, Aniebiet Inyang; Inyang, Comfort Linus

2015-01-01

This study investigated utilization of Information and Communication Technology (ICT) resources and job effectiveness among library staff in the University of Calabar and Cross River University of Technology, Nigeria. To achieve the purpose of this study, four hypotheses were formulated to guide the study. Ex-post facto research design was adopted…

Scaling up the evaluation of psychotherapy: evaluating motivational interviewing fidelity via statistical text classification

PubMed Central

2014-01-01

Background Behavioral interventions such as psychotherapy are leading, evidence-based practices for a variety of problems (e.g., substance abuse), but the evaluation of provider fidelity to behavioral interventions is limited by the need for human judgment. The current study evaluated the accuracy of statistical text classification in replicating human-based judgments of provider fidelity in one specific psychotherapy—motivational interviewing (MI). Method Participants (n = 148) came from five previously conducted randomized trials and were either primary care patients at a safety-net hospital or university students. To be eligible for the original studies, participants met criteria for either problematic drug or alcohol use. All participants received a type of brief motivational interview, an evidence-based intervention for alcohol and substance use disorders. The Motivational Interviewing Skills Code is a standard measure of MI provider fidelity based on human ratings that was used to evaluate all therapy sessions. A text classification approach called a labeled topic model was used to learn associations between human-based fidelity ratings and MI session transcripts. It was then used to generate codes for new sessions. The primary comparison was the accuracy of model-based codes with human-based codes. Results Receiver operating characteristic (ROC) analyses of model-based codes showed reasonably strong sensitivity and specificity with those from human raters (range of area under ROC curve (AUC) scores: 0.62 – 0.81; average AUC: 0.72). Agreement with human raters was evaluated based on talk turns as well as code tallies for an entire session. Generated codes had higher reliability with human codes for session tallies and also varied strongly by individual code. Conclusion To scale up the evaluation of behavioral interventions, technological solutions will be required. The current study demonstrated preliminary, encouraging findings regarding the utility of statistical text classification in bridging this methodological gap. PMID:24758152

Why University Members Use and Resist Technology? A Structure Enactment Perspective

ERIC Educational Resources Information Center

Lin, Canchu; Singer, Ross; Ha, Louisa

2010-01-01

This case study investigated university members' use of and resistance to a communication information technology system in a higher education organization. This case study utilized the technology enactment framework to examine structure enactment in university members' technology use and resistance. We found that the following structures were…

Interactive Digital Technologies' Use in Southwest Nigerian Universities

ERIC Educational Resources Information Center

Agbatogun, Alaba Olaoluwakotansibe

2013-01-01

The interactive digital technologies in education is an effective means used to widen educational opportunities. However, many faculty members do not use or adopt digital technologies as instructional tools. The purpose of this study was to predict faculty members' use of digital technologies in Nigerian Universities. 492 university lecturers from…

A Phenomenological Study: Experiences of Chinese Students Using Educational Technology in American Universities

ERIC Educational Resources Information Center

Jiang, Ying

2017-01-01

This phenomenological study explores the educational technology experiences of ten Chinese international students at American universities. It describes their technology experiences and the influence on their technology self-efficacy and acculturation to the university culture in America. Seidman's (1998) three-interview approach was employed to…

Leadership Roles in the Framework of the Classification of Higher Education

ERIC Educational Resources Information Center

Arslan, Hasan

2005-01-01

The main object of this paper is to focus on possible approaches to classifying higher education institutions. The intent of this paper is to explore approaches to effective leadership in the twenty-first century university that recognize and respond to the perceptions and attitudes of university leaders toward institutional structures. Different…

School Grades, School Context and University Degree Performance: Evidence from an Elite Scottish Institution

ERIC Educational Resources Information Center

Lasselle, Laurence; McDougall-Bagnall, Jonathan; Smith, Ian

2014-01-01

This paper investigates degree classification outcomes for students with SQA Higher qualifications at an elite Scottish university. Students are characterised according to a new indicator based on their secondary school's academic performance relative to the national (Scottish) average. The results show that our school context indicator provides…

Comparing Two CBM Maze Selection Tools: Considering Scoring and Interpretive Metrics for Universal Screening

ERIC Educational Resources Information Center

Ford, Jeremy W.; Missall, Kristen N.; Hosp, John L.; Kuhle, Jennifer L.

2016-01-01

Advances in maze selection curriculum-based measurement have led to several published tools with technical information for interpretation (e.g., norms, benchmarks, cut-scores, classification accuracy) that have increased their usefulness for universal screening. A range of scoring practices have emerged for evaluating student performance on maze…

An Investigation of Selective College and University Libraries' Serial Arrangement.

ERIC Educational Resources Information Center

Kesler, Elizabeth Gates; Teborek, Gay

Data from a survey on serials arrangement procedures and policies at academic libraries was used by the University of Rhode Island (URI) Library in changing current serials policies. Ten libraries, four of which have similar serial holdings and user populations to URI, responded to a questionnaire. Information was obtained on classification versus…

Rating the Accessibility of Library Tutorials from Leading Research Universities

ERIC Educational Resources Information Center

Clossen, Amanda; Proces, Paul

2017-01-01

Video and Web-based tutorials created by libraries from 71 public universities designated by the Carnegie Classification as having the Highest Research Activity (R1) were reviewed for accessibility and usability by disabled people. The results of this review indicate that a large portion of library tutorial content meets neither the minimum legal…

The Orientation Student Profile Card: Improving the Collection of Student Demographic Information

ERIC Educational Resources Information Center

Clapp, Marlene; Young, Michael

2010-01-01

Bridgewater State University (BSU) is a public institution that falls under the Carnegie classification of Master's Colleges and Universities. BSU is committed to serving students in the New England region. This student population includes a sizeable number of underrepresented students. BSU is dealing with intense pressure to serve these students…

Multidisciplinary Cooperation in GIS Education: A Case Study of US Colleges and Universities

ERIC Educational Resources Information Center

Kawabata, Mizuki; Thapa, Rajesh Bahadur; Oguchi, Takashi; Tsou, Ming-Hsiang

2010-01-01

This paper examines the degree of multidisplinary cooperation for Geographic Information Science (GIS) education programs that award GIS-related degrees or certificates at US colleges and universities. We classified departments and courses into ten major disciplines using Dewey Decimal Classification. In the 2007-2008 academic year, approximately…

Enacting Disability Policy through Unseen Support: The Everyday Use of Disability Classifications by University Administrators

ERIC Educational Resources Information Center

Cox, Nigel

2017-01-01

In the United Kingdom (UK), Higher Education Institutions share with other educational providers the duty to provide reasonable adjustments for students who disclose disabilities. The role of academic administrators in the operationalisation of legislation-driven policy related to disability within the university context is overlooked within…

The Other Shoe Drops: Courts Make College Admission a Risky Business.

ERIC Educational Resources Information Center

Van Tyle, Peter

1996-01-01

The University of Texas law school's race-based admissions process triggered the boldest judicial statement addressing affirmative action since 1978. Colleges and universities throughout the country must now look at student diversity on a student-by-student basis and without reference to racial classifications. Admissions offices failing to comply…

Eunice Kennedy Shriver National Institute of Child Health and Human Development Pediatrics Formulation Initiative: proceedings from the Second Workshop on Pediatric Formulations.

PubMed

Giacoia, George P; Taylor-Zapata, Perdita; Zajicek, Anne

2012-11-01

The Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health (NIH) organized a workshop held in November 2011 to address knowledge gaps that limit the availability of adequate pediatric formulations. This workshop was used as a means to identify the types of research innovations needed and to stimulate research efforts designed to improve the availability of pediatric formulations and the technologies required to make these formulations. Information for this article was gathered from the proceedings of the Second US PFI Workshop sponsored by the Eunice Kennedy Shriver National Institute of Child Health and Human Development in Bethesda, Maryland, on November 1 and 2, 2011, as well as from post-workshop discussions. The workshop preparation began with formation of 4 working groups: Biopharmaceutics, Biopharmaceutics Classification System (BCS), New Technology and Drug Delivery Systems, and Taste and Flavor. The recommendations of the 4 working groups will form the basis for the development of a blueprint to guide future research efforts. The pediatric-specific problems identified include the heterogeneity of the population, the small size of the pediatric drug market, the limited number of new formulations for the large number of off-patent and unlabeled drugs, and the lack of universal agreement on how to define appropriate formulations for different ages and stages of development. There was consensus on the need to develop a universal technology platform for flexible pediatric dosage forms, transforming an empirical process into a science-based platform. A number of problems affect the availability of drugs in the developing world. Age-appropriate solid oral pediatric medicines for common diseases can have a global impact. Success on a global scale depends on the commitment of policy makers, regulators, scientists, pharmaceutical companies, sponsors, government, and research foundations to address gaps in knowledge and solve public health issues related to the availability of formulations in the developing world. Solutions to the worldwide lack of appropriate pediatric formulations will require the development of a road map and the commitment of policy makers, regulators, scientists, pharmaceutical sponsors, academic institutions, governments, and research foundations. The development of a universal, cost-effective platform using existing or developing innovative technology that produces flexible pediatric dosage forms remains an important but elusive goal. Published by EM Inc USA.

The research on medical image classification algorithm based on PLSA-BOW model.

PubMed

Cao, C H; Cao, H L

2016-04-29

With the rapid development of modern medical imaging technology, medical image classification has become more important for medical diagnosis and treatment. To solve the existence of polysemous words and synonyms problem, this study combines the word bag model with PLSA (Probabilistic Latent Semantic Analysis) and proposes the PLSA-BOW (Probabilistic Latent Semantic Analysis-Bag of Words) model. In this paper we introduce the bag of words model in text field to image field, and build the model of visual bag of words model. The method enables the word bag model-based classification method to be further improved in accuracy. The experimental results show that the PLSA-BOW model for medical image classification can lead to a more accurate classification.

Casemix classification systems.

PubMed

Fetter, R B

1999-01-01

The idea of using casemix classification to manage hospital services is not new, but has been limited by available technology. It was not until after the introduction of Medicare in the United States in 1965 that serious attempts were made to measure hospital production in order to contain spiralling costs. This resulted in a system of casemix classification known as diagnosis related groups (DRGs). This paper traces the development of DRGs and their evolution from the initial version to the All Patient Refined DRGs developed in 1991.

A detailed comparison of analysis processes for MCC-IMS data in disease classification—Automated methods can replace manual peak annotations

PubMed Central

Horsch, Salome; Kopczynski, Dominik; Kuthe, Elias; Baumbach, Jörg Ingo; Rahmann, Sven

2017-01-01

Motivation Disease classification from molecular measurements typically requires an analysis pipeline from raw noisy measurements to final classification results. Multi capillary column—ion mobility spectrometry (MCC-IMS) is a promising technology for the detection of volatile organic compounds in the air of exhaled breath. From raw measurements, the peak regions representing the compounds have to be identified, quantified, and clustered across different experiments. Currently, several steps of this analysis process require manual intervention of human experts. Our goal is to identify a fully automatic pipeline that yields competitive disease classification results compared to an established but subjective and tedious semi-manual process. Method We combine a large number of modern methods for peak detection, peak clustering, and multivariate classification into analysis pipelines for raw MCC-IMS data. We evaluate all combinations on three different real datasets in an unbiased cross-validation setting. We determine which specific algorithmic combinations lead to high AUC values in disease classifications across the different medical application scenarios. Results The best fully automated analysis process achieves even better classification results than the established manual process. The best algorithms for the three analysis steps are (i) SGLTR (Savitzky-Golay Laplace-operator filter thresholding regions) and LM (Local Maxima) for automated peak identification, (ii) EM clustering (Expectation Maximization) and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) for the clustering step and (iii) RF (Random Forest) for multivariate classification. Thus, automated methods can replace the manual steps in the analysis process to enable an unbiased high throughput use of the technology. PMID:28910313

Testing the Potential of Vegetation Indices for Land Use/cover Classification Using High Resolution Data

NASA Astrophysics Data System (ADS)

Karakacan Kuzucu, A.; Bektas Balcik, F.

2017-11-01

Accurate and reliable land use/land cover (LULC) information obtained by remote sensing technology is necessary in many applications such as environmental monitoring, agricultural management, urban planning, hydrological applications, soil management, vegetation condition study and suitability analysis. But this information still remains a challenge especially in heterogeneous landscapes covering urban and rural areas due to spectrally similar LULC features. In parallel with technological developments, supplementary data such as satellite-derived spectral indices have begun to be used as additional bands in classification to produce data with high accuracy. The aim of this research is to test the potential of spectral vegetation indices combination with supervised classification methods and to extract reliable LULC information from SPOT 7 multispectral imagery. The Normalized Difference Vegetation Index (NDVI), the Ratio Vegetation Index (RATIO), the Soil Adjusted Vegetation Index (SAVI) were the three vegetation indices used in this study. The classical maximum likelihood classifier (MLC) and support vector machine (SVM) algorithm were applied to classify SPOT 7 image. Catalca is selected region located in the north west of the Istanbul in Turkey, which has complex landscape covering artificial surface, forest and natural area, agricultural field, quarry/mining area, pasture/scrubland and water body. Accuracy assessment of all classified images was performed through overall accuracy and kappa coefficient. The results indicated that the incorporation of these three different vegetation indices decrease the classification accuracy for the MLC and SVM classification. In addition, the maximum likelihood classification slightly outperformed the support vector machine classification approach in both overall accuracy and kappa statistics.

R&D Funding Sources and University Technology Transfer: What Is Stimulating Universities to Be More Entrepreneurial?

ERIC Educational Resources Information Center

Powers, Joshua B.

2004-01-01

In recent years, universities have become increasingly entrepreneurial as evidenced by their rapid escalation into technology transfer, the process by which university-developed technologies are commercialized. Stimulated in part by a favorable policy environment for patenting and licensing as well as increased competition for limited resources,…

Research on the Scientific and Technological Innovation of Research University and Its Strategic Measures

ERIC Educational Resources Information Center

Cheng, Yongbo; Ge, Shaowei

2005-01-01

This paper illustrates the important role that the scientific and technological innovation plays in the research university. Technological innovation is one of the main functions that the research university serves and contributes for the development of economy and society, which is the essential measure for Research University to promote…

Love and Hate in University Technology Transfer: Examining Faculty and Staff Conflicts and Ethical Issues

ERIC Educational Resources Information Center

Hamilton, Clovia; Schumann, David

2016-01-01

With respect to university technology transfer, the purpose of this paper is to examine the literature focused on the relationship between university research faculty and technology transfer office staff. We attempt to provide greater understanding of how research faculty's personal values and research universities' organization values may differ…

IFLA General Conference, 1984. Bibliographic Control Division. Sections on Bibliography, Cataloging, and Classification. Part 2. Papers.

ERIC Educational Resources Information Center

International Federation of Library Associations, The Hague (Netherlands).

Papers on cataloging and national bibliography presented at the 1984 general conference of IFLA include: (1) "Pratiques et Problemes de Catalogage au Senegal" (Cataloging Practices and Problems in Senegal) (Marietou Diop Diongue, Senegal); (2) "The Consequences of New Technologies in Classification and Subject Cataloging in Third…

A Videography Analysis Framework for Video Retrieval and Summarization (Open Access)

DTIC Science & Technology

2012-09-07

J. S. D. Mason, and M.Pawlewski. Video genre classification using dy- namics. In IEEE ICASSP, 2001. [16] Ashutosh Saxena, Sung H. Chung, and Andrew Y...directing semantics for film shot classification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 19(10):1529–1542, 2009. [23

The Use and Abuse of Diagnostic/Classification Criteria

PubMed Central

June, Rayford R.; Aggarwal, Rohit

2015-01-01

In rheumatic diseases, classification criteria have been developed to identify well-defined homogenous cohorts for clinical research. Although, they are commonly used in clinical practice, their use may not be appropriate for routine diagnostic clinical care. Classification criteria are being revised with improved methodology and further understanding of disease pathophysiology, but still may not encompass all unique clinical situations to be applied for diagnosis of heterogeneous, rare, evolving rheumatic diseases. Diagnostic criteria development is challenging primarily due to difficulty for universal application given significant differences in prevalence of rheumatic diseases based on geographical area and clinic settings. Despite these shortcomings, the clinician can still use classification criteria for understanding the disease as well as a guide for diagnosis with a few caveats. We present the limits of current classification criteria, describe their use and abuse in clinical practice, and how they should be used with caution when applied in clinics. PMID:26096094

Workshop on Algorithms for Time-Series Analysis

NASA Astrophysics Data System (ADS)

Protopapas, Pavlos

2012-04-01

abstract-type="normal">SummaryThis Workshop covered the four major subjects listed below in two 90-minute sessions. Each talk or tutorial allowed questions, and concluded with a discussion. Classification: Automatic classification using machine-learning methods is becoming a standard in surveys that generate large datasets. Ashish Mahabal (Caltech) reviewed various methods, and presented examples of several applications. Time-Series Modelling: Suzanne Aigrain (Oxford University) discussed autoregressive models and multivariate approaches such as Gaussian Processes. Meta-classification/mixture of expert models: Karim Pichara (Pontificia Universidad Católica, Chile) described the substantial promise which machine-learning classification methods are now showing in automatic classification, and discussed how the various methods can be combined together. Event Detection: Pavlos Protopapas (Harvard) addressed methods of fast identification of events with low signal-to-noise ratios, enlarging on the characterization and statistical issues of low signal-to-noise ratios and rare events.

Detecting asphalt pavement raveling using emerging 3D laser technology and macrotexture analysis.

DOT National Transportation Integrated Search

2015-08-01

This research project comprehensively tested and validated the automatic raveling detection, classification, : and measurement algorithms using 3D laser technology that were developed through a project sponsored by : the National Cooperative Highway ...

Myths and legends in learning classification rules

NASA Technical Reports Server (NTRS)

Buntine, Wray

1990-01-01

This paper is a discussion of machine learning theory on empirically learning classification rules. The paper proposes six myths in the machine learning community that address issues of bias, learning as search, computational learning theory, Occam's razor, 'universal' learning algorithms, and interactive learnings. Some of the problems raised are also addressed from a Bayesian perspective. The paper concludes by suggesting questions that machine learning researchers should be addressing both theoretically and experimentally.

Long-term proliferation and safeguards issues in future technologies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Keisch, B.; Auerbach, C.; Fainberg, A.

1986-02-01

The purpose of the task was to assess the effect of potential new technologies, nuclear and non-nuclear, on safeguards needs and non-proliferation policies, and to explore possible solutions to some of the problems envisaged. Eight subdivisions were considered: New Enrichment Technologies; Non-Aqueous Reprocessing Technologies; Fusion; Accelerator-Driven Reactor Systems; New Reactor Types; Heavy Water and Deuterium; Long-Term Storage of Spent Fuel; and Other Future Technologies (Non-Nuclear). For each of these subdivisions, a careful review of the current world-wide effort in the field provided a means of subjectively estimating the viability and qualitative probability of fruition of promising technologies. Technologies for whichmore » safeguards and non-proliferation requirements have been thoroughly considered by others were not restudied here (e.g., the Fast Breeder Reactor). The time scale considered was 5 to 40 years for possible initial demonstration although, in some cases, a somewhat optimistic viewpoint was embraced. Conventional nuclear-material safeguards are only part of the overall non-proliferation regime. Other aspects are international agreements, export controls on sensitive technologies, classification of information, intelligence gathering, and diplomatic initiatives. The focus here is on safeguards, export controls, and classification.« less

Bolivian satellite technology program on ERTS natural resources

NASA Technical Reports Server (NTRS)

Brockmann, H. C. (Principal Investigator); Bartoluccic C., L.; Hoffer, R. M.; Levandowski, D. W.; Ugarte, I.; Valenzuela, R. R.; Urena E., M.; Oros, R.

1977-01-01

The author has identified the following significant results. Application of digital classification for mapping land use permitted the separation of units at more specific levels in less time. A correct classification of data in the computer has a positive effect on the accuracy of the final products. Land use unit comparison with types of soils as represented by the colors of the coded map showed a class relation. Soil types in relation to land cover and land use demonstrated that vegetation was a positive factor in soils classification. Groupings of image resolution elements (pixels) permit studies of land use at different levels, thereby forming parameters for the classification of soils.

Hypothesis-driven classification of materials using nuclear magnetic resonance relaxometry

DOE Office of Scientific and Technical Information (OSTI.GOV)

Espy, Michelle A.; Matlashov, Andrei N.; Schultz, Larry J.

Technologies related to identification of a substance in an optimized manner are provided. A reference group of known materials is identified. Each known material has known values for several classification parameters. The classification parameters comprise at least one of T.sub.1, T.sub.2, T.sub.1.rho., a relative nuclear susceptibility (RNS) of the substance, and an x-ray linear attenuation coefficient (LAC) of the substance. A measurement sequence is optimized based on at least one of a measurement cost of each of the classification parameters and an initial probability of each of the known materials in the reference group.

Land cover mapping of North and Central America—Global Land Cover 2000

USGS Publications Warehouse

Latifovic, Rasim; Zhu, Zhi-Liang

2004-01-01

The Land Cover Map of North and Central America for the year 2000 (GLC 2000-NCA), prepared by NRCan/CCRS and USGS/EROS Data Centre (EDC) as a regional component of the Global Land Cover 2000 project, is the subject of this paper. A new mapping approach for transforming satellite observations acquired by the SPOT4/VGTETATION (VGT) sensor into land cover information is outlined. The procedure includes: (1) conversion of daily data into 10-day composite; (2) post-seasonal correction and refinement of apparent surface reflectance in 10-day composite images; and (3) extraction of land cover information from the composite images. The pre-processing and mosaicking techniques developed and used in this study proved to be very effective in removing cloud contamination, BRDF effects, and noise in Short Wave Infra-Red (SWIR). The GLC 2000-NCA land cover map is provided as a regional product with 28 land cover classes based on modified Federal Geographic Data Committee/Vegetation Classification Standard (FGDC NVCS) classification system, and as part of a global product with 22 land cover classes based on Land Cover Classification System (LCCS) of the Food and Agriculture Organisation. The map was compared on both areal and per-pixel bases over North and Central America to the International Geosphere–Biosphere Programme (IGBP) global land cover classification, the University of Maryland global land cover classification (UMd) and the Moderate Resolution Imaging Spectroradiometer (MODIS) Global land cover classification produced by Boston University (BU). There was good agreement (79%) on the spatial distribution and areal extent of forest between GLC 2000-NCA and the other maps, however, GLC 2000-NCA provides additional information on the spatial distribution of forest types. The GLC 2000-NCA map was produced at the continental level incorporating specific needs of the region.

PREFACE: Preface

NASA Astrophysics Data System (ADS)

Luo, Qingming; Wang, Lihong V.; Tuchin, Valery V.

2011-02-01

The 9th International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2010), combined with the 3rd Photonics and Optoelectronics Meetings (POEM 2010), was held from November 2-5, 2010, at Wuhan Science & Technology Convention & Exhibition Center, Wuhan, PR China. The present volume contains papers from a selection from the invited, oral, and poster presentations. PIBM is the largest international biomedical photonics conference series in Asia. It was initially held at HUST bi-yearly from 1999. After being held three times in Wuhan (1999, 2001 and 2003), it was hosted once in Tianjin (2005), before returning to Wuhan every year since 2006. PIBM is designed to bring together scientists, engineers and clinical researchers from a variety of disciplines engaged in applying optical science, photonics and imaging technologies to problems in biology and medicine. The scope of this conference ranges from basic research to instrumentation engineering, and biological and clinical studies. It is recognized as one of the largest and most comprehensive international conferences in China, and represents the highest level of worldwide research in this field. In the past ten years, 7 volumes of proceedings with a total of 672 papers were published by SPIE (International Society for Optical Engineering), and a volume with 75 papers was published by World Scientific Publishing Co. in 2007. Proceedings of PIBM 1999, 2001, 2003, 2005, 2006, 2008 and 2009 were indexed by EI Compendex, while proceedings of PIBM 1999, 2001, 2003, 2005, 2006, and 2007 were indexed by SCI. Some excellent papers were recommended for publication in the peer-reviewed Journal of Innovative Optical Health Sciences (JIOHS). An increasing number of young researchers present and exchange their innovative ideas on this friendly and professional platform, which has made PIBM an unforgettable annual meeting in Wuhan. This year PIBM attracted distinguished scholars in the field of biomedical photonics and imaging from all over the world, including the United States, Russia, Australia, Canada, Israel, France, Ireland, Japan, Korea and China. The major topics covered at the conference and presented in this volume include: Photonic Therapeutics, Diagnostics and Instrumentations; Tissue Optics and Laser Tissue Interaction; Biomedical Spectroscopy and Microscopy; Multimodal and Hybrid Biomedical Imaging; and Optical Molecular Imaging. The conference voted for the three best student papers; awards were presented to the participant students whose posters were recognized as excellent and who took part in the oral presentation competition. The conference received 133 submitted abstracts, and this volume of the Journal of Physics: Conference Series includes a selection of 53 excellent submissions. The Conference Secretariat and Local Organizing Committee deserve recognition for planning a smoothly run and productive conference with comprehensive, instructive lectures and innovative work displayed in poster presentations. The faculties and students from Britton Chance Center for Biomedical Photonics were dedicated to their work in reception and service during the conference. It is a pleasure to thank all of them for their efficient and hard work. We are also grateful for the financial support from 111 Project (B07038), and the assistance in organization and coordination from Wuhan National Laboratory for Optoelectronics and Huazhong University of Science and Technology. Finally, we would like to thank all the authors for their contributions to PIBM 2010 and all the members of the Committees for their cooperation and time spent reviewing submissions. Special thanks are due to the Advisory Committee members Shu Chien, Aaron Ciechanover, Steve Dahms, Da Hsuan Feng, Steven R Goodman, Brian Salzberg, Fujia Yang, Jianquan Yao, Baoyong Zheng and Olivia Ho Cheng for their participation on-site, and their significant contributions to the conference. Wuhan, PR ChinaDecember, 2010 Qingming LuoLihong V WangValery V TuchinConference Chairs 9th International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2010)2-5 November 2010Wuhan, China EditorsQingming Luo, Huazhong University of Science and Technology (China)Lihong V Wang , Washington University in St. Louis (USA)Valery V Tuchin, Saratov State University (Russia) Sponsored and Organized byHuazhong University of Science and Technology (China)Wuhan National Laboratory for Optoelectronics (China)Britton Chance Center for Biomedical Photonics (China) Technical Co-sponsored byIBOS-International Biomedical Optics SocietyThe Chinese Optical SocietyThe Biophysical Society of China Co-organized byKey Laboratory of Biomedical Photonics, Ministry of Education (China)Virtual Research Center of Biomedical Photonics, Ministry of Education (China)Hubei Bioinformatics and Molecular Imaging Key Laboratory (China) CONFERENCE COMMITTEES Honorary ChairsBritton Chance, University of Pennsylvania (USA)Bingkun Zhou, Tsinghua University (China) Conference ChairsQingming Luo, Huazhong University of Science and Technology (China)Lihong V Wang , Washington University in St. Louis (USA)Valery V Tuchin, Saratov State University (Russia) Advisory CommitteeSydney Brenner, The Salk Institute in La Jolla, California (USA)Howard Chen, K&L Gates (USA)Jing Cheng, Tsinghua University (China)Shu Chien, University of California, San Diego (USA)Paul Ching-Wu Chu, University of Houston (USA)Aaron Ciechanover, Technion-Israel Institute of Technology, Haifa (Israel)A Stephen Dahms, Alfred E Mann Foundation for Biomedical Engineering (USA)Da Hsuan Feng, National Cheng Kung University (Taiwan, China)Steven R Goodman, SUNY Upstate Medical University (USA)Barry Halliwell, National University of Singapore (Singapore)John Hart, The University of Texas at Dallas (USA)George Radda, Agency for Science, Technology and Research (A*STAR) (Singapore)Zihe Rao, Nankai University (China)Brian M Salzberg, University of Pennsylvania (USA)Ruey-Jen Sung, Stanford University (USA)A Dean Sherry, The University of Texas at Dallas (USA)Bruce Tromberg, University of California/Irvine (USA)Fujia Yang, Nottingham University (UK)Jianquan Yao, Tianjin University (China)Yixin Zeng, Sun Yat-sen University Cancer Center (China)Baoyong Zheng, Hua Wei Technologies Corporation, Inc (China) Program CommitteeWei R Chen, University of Central Oklahoma (USA)Zhongping Chen, University of California/Irvine (USA)Arthur Chiou, National Yang-Ming University (Taiwan, China)Frank Y S Chuang, University of California, Davis (USA)Zhihua Ding, Zhejiang University (China)Congwu Du, Brookhaven National Laboratory (USA)Stefan Haacke, Strasbourg University - IPCMS-DON (France)Weiping Han, Agency for Science, Technology and Research (A*STAR) (Singapore)Zheng Huang, University of Colorado Health Sciences Center (USA)Zhiwei Huang, National University of Singapore (Singapore)Steven L Jacques, Oregon Health & Science University (USA)Fu-Jen Kao, National Yang-Ming University (Taiwan, China)Hideaki Koizumi, Hitachi, Ltd (Japan)Xingde Li, Johns Hopkins University (USA)Yong-qing Li, East Carolina University (USA)Chengyi Liu, South China Normal University (China)Hong Liu, University of Oklahoma (USA)Zuhong Lu, Southeast University (China)Dennis L Matthews, University of California/Davis (USA)Avraham Mayevsky, Bar Ilan University (Israel)Stephen P Morgan, University of Nottingham (UK)Shoko Nioka, University of Pennsylvania (USA)Yingtian Pan, State University of New York at Stony Brook (USA)Alexander V Priezzhev, MV Lomonosov Moscow State University (Russia)Jianan Y Qu, The Hongkong University of Science and Technology (Hong Kong, China)Colin J R Sheppard, National University of Singapore (Singapore)Mamoru Tamura, Tsinghua University (China)Sergey Ulyanov, Saratov State University (Russia)Ruikang K Wang, Oregon Health & Science University (USA)Xunbin Wei, Fudan University (China)Da Xing, South China Normal University (China)Haishan Zeng, BC Cancer Research Centre (Canada)Gang Zheng, University of Toronto (Canada)Dongping Zhong, The Ohio State University (USA) Organizing CommitteeLing Fu (Chair), Huazhong University of Science and Technology (China)Yuandi Zhao (Chair), Huazhong University of Science and Technology (China)Hui Gong, Huazhong University of Science and Technology (China)Pengcheng Li, Huazhong University of Science and Technology (China)Bifeng Liu, Huazhong University of Science and Technology (China)Qian Liu, Huazhong University of Science and Technology (China)Shaoqun Zeng, Huazhong University of Science and Technology (China)Zhihong Zhang, Huazhong University of Science and Technology (China)Dan Zhu, Huazhong University of Science and Technology (China) Local SecretariatHua Shi, Huazhong University of Science and Technology (China)

Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation

PubMed Central

2014-01-01

Background The pediatric complex chronic conditions (CCC) classification system, developed in 2000, requires revision to accommodate the International Classification of Disease 10th Revision (ICD-10). To update the CCC classification system, we incorporated ICD-9 diagnostic codes that had been either omitted or incorrectly specified in the original system, and then translated between ICD-9 and ICD-10 using General Equivalence Mappings (GEMs). We further reviewed all codes in the ICD-9 and ICD-10 systems to include both diagnostic and procedural codes indicative of technology dependence or organ transplantation. We applied the provisional CCC version 2 (v2) system to death certificate information and 2 databases of health utilization, reviewed the resulting CCC classifications, and corrected any misclassifications. Finally, we evaluated performance of the CCC v2 system by assessing: 1) the stability of the system between ICD-9 and ICD-10 codes using data which included both ICD-9 codes and ICD-10 codes; 2) the year-to-year stability before and after ICD-10 implementation; and 3) the proportions of patients classified as having a CCC in both the v1 and v2 systems. Results The CCC v2 classification system consists of diagnostic and procedural codes that incorporate a new neonatal CCC category as well as domains of complexity arising from technology dependence or organ transplantation. CCC v2 demonstrated close comparability between ICD-9 and ICD-10 and did not detect significant discontinuity in temporal trends of death in the United States. Compared to the original system, CCC v2 resulted in a 1.0% absolute (10% relative) increase in the number of patients identified as having a CCC in national hospitalization dataset, and a 0.4% absolute (24% relative) increase in a national emergency department dataset. Conclusions The updated CCC v2 system is comprehensive and multidimensional, and provides a necessary update to accommodate widespread implementation of ICD-10. PMID:25102958

Comparative study of classification algorithms for immunosignaturing data

PubMed Central

2012-01-01

Background High-throughput technologies such as DNA, RNA, protein, antibody and peptide microarrays are often used to examine differences across drug treatments, diseases, transgenic animals, and others. Typically one trains a classification system by gathering large amounts of probe-level data, selecting informative features, and classifies test samples using a small number of features. As new microarrays are invented, classification systems that worked well for other array types may not be ideal. Expression microarrays, arguably one of the most prevalent array types, have been used for years to help develop classification algorithms. Many biological assumptions are built into classifiers that were designed for these types of data. One of the more problematic is the assumption of independence, both at the probe level and again at the biological level. Probes for RNA transcripts are designed to bind single transcripts. At the biological level, many genes have dependencies across transcriptional pathways where co-regulation of transcriptional units may make many genes appear as being completely dependent. Thus, algorithms that perform well for gene expression data may not be suitable when other technologies with different binding characteristics exist. The immunosignaturing microarray is based on complex mixtures of antibodies binding to arrays of random sequence peptides. It relies on many-to-many binding of antibodies to the random sequence peptides. Each peptide can bind multiple antibodies and each antibody can bind multiple peptides. This technology has been shown to be highly reproducible and appears promising for diagnosing a variety of disease states. However, it is not clear what is the optimal classification algorithm for analyzing this new type of data. Results We characterized several classification algorithms to analyze immunosignaturing data. We selected several datasets that range from easy to difficult to classify, from simple monoclonal binding to complex binding patterns in asthma patients. We then classified the biological samples using 17 different classification algorithms. Using a wide variety of assessment criteria, we found ‘Naïve Bayes’ far more useful than other widely used methods due to its simplicity, robustness, speed and accuracy. Conclusions ‘Naïve Bayes’ algorithm appears to accommodate the complex patterns hidden within multilayered immunosignaturing microarray data due to its fundamental mathematical properties. PMID:22720696

Bodensee-Oberschwaben. Eine erfolgreiche Region fernab der Großstädte

NASA Astrophysics Data System (ADS)

Danielzyk, Rainer; Köhler, Stefan; Friedsmann, Philipp

2017-09-01

Bodensee-Oberschwaben is representative of a type of region that does not receive much attention in regional research. The region is located peripherally, away from the metropolises and urban agglomeration areas. Despite seemingly poor initial conditions, the region is economically very successful. A polycentric structure of many small and medium-sized towns characterize Bodensee-Oberschwaben as well as other attributes, which do not allow for classification into traditional categories such as rural or urban. Friedrichshafen, the largest city and the industrial core of the region, contributes significantly to its prosperity. The international high technology companies, which are located here, have their origins in the activities of Graf Zeppelin in the early 20th century. Regional universities and the strong network between actors both within the region as well as between Bodensee-Oberschwaben and the neighboring regions have also had a positive impact on region's development.

A Multi-Discipline, Multi-Genre Digital Library for Research and Education

NASA Technical Reports Server (NTRS)

Nelson, Michael L.; Maly, Kurt; Shen, Stewart N. T.

2004-01-01

We describe NCSTRL+, a unified, canonical digital library for educational and scientific and technical information (STI). NCSTRL+ is based on the Networked Computer Science Technical Report Library (NCSTRL), a World Wide Web (WWW) accessible digital library (DL) that provides access to over 100 university departments and laboratories. NCSTRL+ implements two new technologies: cluster functionality and publishing "buckets". We have extended the Dienst protocol, the protocol underlying NCSTRL, to provide the ability to "cluster" independent collections into a logically centralized digital library based upon subject category classification, type of organization, and genres of material. The concept of "buckets" provides a mechanism for publishing and managing logically linked entities with multiple data formats. The NCSTRL+ prototype DL contains the holdings of NCSTRL and the NASA Technical Report Server (NTRS). The prototype demonstrates the feasibility of publishing into a multi-cluster DL, searching across clusters, and storing and presenting buckets of information.

NCSTRL+: Adding Multi-Discipline and Multi-Genre Support to the Dienst Protocol Using Clusters and Buckets

NASA Technical Reports Server (NTRS)

Nelson, Michael L.; Maly, Kurt; Shen, Stewart N. T.; Zubair, Mohammad

1998-01-01

We describe NCSTRL+, a unified, canonical digital library for scientific and technical information (STI). NCSTRL+ is based on the Networked Computer Science Technical Report Library (NCSTRL), a World Wide Web (WWW) accessible digital library (DL) that provides access to over 100 university departments and laboratories. NCSTRL+ implements two new technologies: cluster functionality and publishing buckets. We have extended Dienst, the protocol underlying NCSTRL, to provide the ability to cluster independent collections into a logically centralized digital library based upon subject category classification, type of organization, and genres of material. The bucket construct provides a mechanism for publishing and managing logically linked entities with multiple data forms as a single object. The NCSTRL+ prototype DL contains the holdings of NCSTRL and the NASA Technical Report Server (NTRS). The prototype demonstrates the feasibility of publishing into a multi-cluster DL, searching across clusters, and storing and presenting buckets of information.

International Symposium on Remote Sensing of Environment, 9th, University of Michigan, Ann Arbor, Mich., April 15-19, 1974, Proceedings. Volumes 1, 2 & 3

NASA Technical Reports Server (NTRS)

1974-01-01

The present work gathers together numerous papers describing the use of remote sensing technology for mapping, monitoring, and management of earth resources and man's environment. Studies using various types of sensing equipment are described, including multispectral scanners, radar imagery, spectrometers, lidar, and aerial photography, and both manual and computer-aided data processing techniques are described. Some of the topics covered include: estimation of population density in Tokyo districts from ERTS-1 data, a clustering algorithm for unsupervised crop classification, passive microwave sensing of moist soils, interactive computer processing for land use planning, the use of remote sensing to delineate floodplains, moisture detection from Skylab, scanning thermal plumes, electrically scanning microwave radiometers, oil slick detection by X-band synthetic aperture radar, and the use of space photos for search of oil and gas fields. Individual items are announced in this issue.

Measuring the Impact of University Technology Transfer: A Guide to Methodologies, Data Needs, and Sources

ERIC Educational Resources Information Center

Lowe, Robert A.; Quick, Suzanne K.

2005-01-01

This paper discusses measures that capture the impact of university technology transfer activities on a university?s local and regional economies (economic impact). Such assessments are of increasing interest to policy makers, researchers and technology transfer professionals, yet there have been few published discussions of the merits of various…

Page, Text and Screen in the University: Revisiting the Illich Hypothesis

ERIC Educational Resources Information Center

Marin, Lavinia; Masschelein, Jan; Simons, Maarten

2018-01-01

In the age of web 2.0, the university is constantly challenged to re-adapt its "old-fashioned" pedagogies to the new possibilities opened up by digital technologies. This article proposes a rethinking of the relation between university and (digital) technologies by focusing not on how technologies function in the university, but on their…

Technology whitespaces India should focus: a comparative anti-cancer patent rational analysis of Indian and international public funded universities.

PubMed

Dara, Ajay; Sangamwar, Abhay T

2015-01-01

The article reported an in-depth comparative technology analysis of 1708 Anti-cancer patents from top 20 international universities and leading 10 Indian public funded organization and research institutes. The study segregated pioneer universities vs. technologies used in the field of Anticancer research at a level of drug discovery, development, diagnosis and treatment, which are illustrated in the form of novel substantive patent landscape maps. The reported competitive intelligent maps identified genetics, composition and synthetic compounds as dominating technologies; followed by natural extracts, combination and drug delivery systems as upcoming technologies. The least number of patents were reported by surgical apparatus, targeted therapy and animal models. In addition, the study analysed the key technologies followed by Indian universities in comparison to the international universities, to identify the overlooked technologies by the Indian public funded institutes. In an ever changing competitive world, it is essential for every university to have their own research plan and thrust areas; but at the same time, it is equally important for any organisation to have an idea of their competitor's research plan as well. So, the article suggested Indian institutes to focus on the latest emerging Anti-cancer technology trends, which are in practice by the international universities. Concurrently, this study may be a landmark indication for Indian public funded universities and institutes, calling for a U-turn from their traditional approaches.

Preparation of Chemical Samples On Relevant Surfaces Using Inkjet Technology

DTIC Science & Technology

2013-04-01

PREPARATION OF CHEMICAL SAMPLES ON RELEVANT SURFACES USING INKJET TECHNOLOGY...2012 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Preparation of Chemical Samples on Relevant Surfaces Using Inkjet Technology 5b. GRANT NUMBER...SUBJECT TERMS Surface detection Inkjet Simulant deposition 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT 18. NUMBER OF

Satellite image analysis using neural networks

NASA Technical Reports Server (NTRS)

Sheldon, Roger A.

1990-01-01

The tremendous backlog of unanalyzed satellite data necessitates the development of improved methods for data cataloging and analysis. Ford Aerospace has developed an image analysis system, SIANN (Satellite Image Analysis using Neural Networks) that integrates the technologies necessary to satisfy NASA's science data analysis requirements for the next generation of satellites. SIANN will enable scientists to train a neural network to recognize image data containing scenes of interest and then rapidly search data archives for all such images. The approach combines conventional image processing technology with recent advances in neural networks to provide improved classification capabilities. SIANN allows users to proceed through a four step process of image classification: filtering and enhancement, creation of neural network training data via application of feature extraction algorithms, configuring and training a neural network model, and classification of images by application of the trained neural network. A prototype experimentation testbed was completed and applied to climatological data.

PREFACE: Preface

NASA Astrophysics Data System (ADS)

Ye, Chaohui; Wang, Zhong Lin; Zhou, Bingkun

2011-02-01

The 3rd International Photonics and OptoElectronics Meeting (POEM 2010) was held from November 2-5, 2011, in Wuhan, China. POEM takes place annually, usually in November, with the aim of focusing on the key techniques of scientific frontiers and industry in the field of optoelectronics, understanding future trends as well as making the most of the industrial advantages of Wuhan - Optics Valley of China (OVC). POEM 2010 presented a plenary session and six parallel sessions. The latter comprised Laser Technology and Applications; Nano-enabled Energy Technologies and Materials; Optoelectronic Devices and Integration; Optoelectronic Sensing and Imaging; Solar Cells, Solid State Lighting and Information Display Technologies; and Tera-Hertz Science and Technology. 700 delegates from the field of optoelectronics - including world-famous experts, researchers, investors and entrepreneurs from more than 20 countries - attended the conference, among whom were 160 invited speakers. POEM 2010 once again received extensive praise for its intricate planning, rich contents, and the high-level and influential invited speakers which it attracted. Participants remarked that the presentations by the invited experts, the 'hot topic' discussions, students' posters, and the awards for papers were very engaging. They appreciated this valuable and beneficial opportunity for exchanging ideas with top photonics and optoelectronics experts. Our thanks are extended to the Conference Secretariat and Local Organizing Committee, who have been completely dedicated to their work, and who made the conference such a great success. We are also grateful for the financial support from 111 Project (B07038), and for the help with organization and coordination from Wuhan National Laboratory for Optoelectronics and Huazhong University of Science and Technology. Proceedings of POEM 2010234 papers were selected out of the 343 manuscripts submitted. The organizers of POEM 2010 are grateful to all the authors whose papers are being published in this volume of the Journal of Physics: Conference Series. The proceedings are divided into six sections according to different technical areas: Laser Technology and Applications (LTA) Nano-enabled Energy Technologies and Materials (NETM) Optoelectronic Devices and Integration (OEDI) Optoelectronic Sensing and Imaging (OSI) Solar Cells, Solid State Lighting and Information Display Technologies (SSID) Tera-Hertz Science and Technology (THST) Wuhan, PR ChinaDecember, 2010 Chaohui YeZhong Lin WangBingkun ZhouConference Chairs The 3rd International Photonics and OptoElectronics Meeting (POEM 2010)November 2-5, 2010Wuhan, China Supporters:Ministry of Education of China (MOE)State Administration of Foreign Experts Affairs (SAFEA)National Natural Science Foundation of China (NSFC) Sponsors:Huazhong University of Science and Technology (HUST)China Hubei Provincial Science Technology Department (HBSTD)Wuhan East Lake National Innovation Model Park Co-operating Societies:Institute of Physics (IOP)American Institute of Physics (AIP)International Biomedical Optics Society (IBOS)Laser Institute of America (LIA)Optical Society of America (OSA)IEEE Photonics Society (Singapore and Hongkong Chapters)Chinese Optical Society (COS) Organizer:Wuhan National Laboratory for Optoelectronics (WNLO) 1. LASER TECHNOLOGY AND APPLICATIONS (LTA)Editors:Peixiang Lu, Wuhan National Laboratory for Optoelectronics (China)Katsumi Midorikawa, Extreme Photonics Research Group, RIKEN (Japan)Bernd Wilhelmi, Jenoptik AG, Jena (Germany) 2. NANO-ENABLED ENERGY TECHNOLOGIES AND MATERIALS (NETM)Editors:Zhong Lin Wang, Wuhan National Laboratory for Optoelectronics (China) and Georgia Institute of Technology (USA)Guozhen Shen, Wuhan National Laboratory for Optoelectronics (China) 3. OPTOELECTRONIC DEVICES AND INTEGRATION (OEDI)Editors:Chinlon Lin, Bell Laboratory (USA)Jesper Moerk, Technical University of Denmark (Denmark)Xun Li, McMaster University (Canada)Xinliang Zhang, Wuhan National Laboratory for Optoelectronics (China)Junqiang Sun, Wuhan National Laboratory for Optoelectronics (China) 4. OPTOELECTRONIC SENSING AND IMAGING (OSI)Editors:Kecheng Yang, Wuhan National Laboratory for Optoelectronics (China)Pengcheng Li, Wuhan National Laboratory for Optoelectronics (China) 5. SOLAR CELLS, SOLID-STATE LIGHTING AND INFORMATION DISPLAY TECHNOLOGIES (SSID)Editors:Hiroshi Amano, Meijo University (Japan)Yibing Cheng, Monash University (Australia)Jinzhong Yu, Institute of Semiconductor, CAS (China)Changqing Chen, Wuhan National Laboratory for Optoelectronics (China)Hongwei Han, Wuhan National Laboratory for Optoelectronics (China)Guoli Tu, Wuhan National Laboratory for Optoelectronics (China) 6. TERA-HERTZ SCIENCE AND TECHNOLOGY (THST)Editors:Jianquan Yao, Tianjin University (China)Shenggang Liu, University of Electronic Science and Technology of China (China)X C Zhang, Rensselaer Polytechnic Institute (USA)Jinsong Liu, Wuhan National Laboratory for Optoelectronics (China) International Advisory Committee:Yibing Cheng, Monash University (Australia)Stephen Z D Cheng, University of Akron (USA)Min Gu, Swinburne University of Technology (Australia)Andrew B Holmes, the University of Melbourne (Australia)Chinlon Lin, Bell Laboratory (retired, USA)Xun Li, McMaster University (Canada)Shenggang Liu, University of Electronic Science and Technology of China (China)Jesper Moerk, Technical University of Denmark (Denmark)Dennis L Matthews, University of California, Davis (USA)Jiacong Shen, Jilin University (China)Ping Shum, Nanyang Technological University (Singapore)Chester C T Shu, Chinese University of Hong Kong (China)Valery V Tuchin, Saratov State University (Russia)Bruce Tromberg, University of California/Irvine (USA)Peiheng Wu, University of Nanjing (China)Alan Willner, University of Southern California (USA)Lihong Wang, Washington University in St. Louis (USA)C P Wong, Georgia Institute of Technology (USA)Jianquan Yao, Tianjin University (China)Xi Zhang, Tsinghua University (China)X C Zhang, Rensselaer Polytechnic Institute (USA) Program Committee:Qingming Luo, Wuhan National Laboratory for Optoelectronics (China) - ChairHiroshi Amano, Meijo University (Japan)Yibing Cheng, Monash University (Australia)Peixiang Lu, Wuhan National Laboratory for Optoelectronics (China)Ruxin Li, Shanghai Institute of Optics and Fine Mechanics (China)Chinlon Lin, Bell Laboratory (USA)Xun Li, McMaster University (Canada)Shenggang Liu, University of Electronic Science and Technology of China (China)Katsumi Midorikawa, Extreme Photonics Research Group, RIKEN (Japan)Jesper Moerk, Technical University of Denmark (Denmark)Valery V Tuchin, Saratov State University (Russia)Lihong Wang, Washington University in St. Louis (USA)Zhong Lin Wang, Georgia Institute of Technology(USA)Jinzhong Yu, Institute of Semiconductor, CAS (China)Jianquan Yao, Tianjin University (China)X C Zhang, Rensselaer Polytechnic Institute (USA) Local Organizing committee:Lin Lin, Wuhan National Laboratory for Optoelectronics (China) - ChairSheng Lu, Administration Committee of Wuhan East Lake Hi-tech Development Zone (China) - ChairChangqing Chen, Wuhan National Laboratory for Optoelectronics (China)Ling Fu, Wuhan National Laboratory for Optoelectronics (China)Hongwei Han, Wuhan National Laboratory for Optoelectronics (China)Peixiang Lu, Wuhan National Laboratory for Optoelectronics (China)Pengcheng Li, Wuhan National Laboratory for Optoelectronics (China)Jinsong Liu, Wuhan National Laboratory for Optoelectronics (China)Junqiang Sun, Wuhan National Laboratory for Optoelectronics (China)Guozhen Shen, Wuhan National Laboratory for Optoelectronics (China)Guoli Tu, Wuhan National Laboratory for Optoelectronics (China)Kecheng Yang, Wuhan National Laboratory for Optoelectronics (China)Xinliang Zhang, Wuhan National Laboratory for Optoelectronics (China)Yuandi Zhao, Wuhan National Laboratory for Optoelectronics (China) Local Secretariat:Xiaochun Xiao, Huazhong University of Science and Technology (China)Weiwei Dong, Huazhong University of Science and Technology (China)

Data Field Modeling and Spectral-Spatial Feature Fusion for Hyperspectral Data Classification.

PubMed

Liu, Da; Li, Jianxun

2016-12-16

Classification is a significant subject in hyperspectral remote sensing image processing. This study proposes a spectral-spatial feature fusion algorithm for the classification of hyperspectral images (HSI). Unlike existing spectral-spatial classification methods, the influences and interactions of the surroundings on each measured pixel were taken into consideration in this paper. Data field theory was employed as the mathematical realization of the field theory concept in physics, and both the spectral and spatial domains of HSI were considered as data fields. Therefore, the inherent dependency of interacting pixels was modeled. Using data field modeling, spatial and spectral features were transformed into a unified radiation form and further fused into a new feature by using a linear model. In contrast to the current spectral-spatial classification methods, which usually simply stack spectral and spatial features together, the proposed method builds the inner connection between the spectral and spatial features, and explores the hidden information that contributed to classification. Therefore, new information is included for classification. The final classification result was obtained using a random forest (RF) classifier. The proposed method was tested with the University of Pavia and Indian Pines, two well-known standard hyperspectral datasets. The experimental results demonstrate that the proposed method has higher classification accuracies than those obtained by the traditional approaches.

The Crescent Project : an evaluation of an element of the HELP Program : executive summary

DOT National Transportation Integrated Search

1994-02-01

The HELP/Crescent Project on the West Coast evaluated the applicability of four technologies for screening transponder-equipped vehicles. The technologies included automatic vehicle identification, weigh-in-motion, automatic vehicle classification, a...

Borderlands or Enclosures?: Technology, the University, and Cultural Studies

ERIC Educational Resources Information Center

Goggin, Gerard

2012-01-01

Technology plays a leading role in how media is imagined, and so how one feels about, understands, and participates in contemporary culture. At the same time, technology is key to the local and global imaginaries of the university. The role of technology in the university is now profound, and indeed has gained in complexity and ambiguity with…

Pay and Benefits of Leaders at 475 Colleges and Universities: A Survey.

ERIC Educational Resources Information Center

Chronicle of Higher Education, 1999

1999-01-01

Presents data from institutional tax forms for the pay and benefits of key personnel at 475 private colleges and universities for 1996-97 and 1997-98. Institutions are grouped by Carnegie Classification and listings typically include data for six positions, such as the president, highest paid faculty member, a senior vice president, and chief…

An APOS Analysis of Natural Science Students' Understanding of Integration

ERIC Educational Resources Information Center

Maharaj, Aneshkumar

2014-01-01

This article reports on a study which used the APOS (action-process-object-schema) Theory framework and a classification of errors to investigate university students' understanding of the integration concept and its applications. Research was done at the Westville Campus of the University of KwaZulu-Natal in South Africa. The relevant rules for…

The Campus Resources of Higher Education in the United States of America: A Taxonomy of Types and A Geographical Distribution.

ERIC Educational Resources Information Center

Irwin, Judith T., Comp.

This document presents a classification of the campus resources of higher education institutions in the United States. After the foreword, the institutions are divided into 5 categories: doctoral-granting universities; comprehensive colleges and universities; general baccalaureate colleges; 2-year colleges, and separate specialized professional…

THE PHYSICAL ASPECTS OF URBANIZATION, PHYSICAL CONSIDERATIONS IN COMMUNITY ACTION. KANSAS STATE UNIVERSITY SHORT COURSE SERIES IN PLANNING AND DEVELOPMENT, 5.

ERIC Educational Resources Information Center

MCGRAW, EUGENE T.

PART OF A KANSAS STATE UNIVERSITY SERIES ON COMMUNITY PLANNING AND DEVELOPMENT, THIS MONOGRAPH DESCRIBES AND DEFINES THE NATURE OF URBAN CENTERS AS PHYSICAL ENTITIES. BASIC LAND USE CATEGORIES AND SUBDIVISIONS, FUNCTIONAL CLASSIFICATIONS OF COMMUNITIES IN THE UNITED STATES (MANUFACTURING, RETAIL, WHOLESALE, DIVERSIFIED, TRANSPORTATION, MINING,…

The Why, What, and Impact of GPA at Oxford Brookes University

ERIC Educational Resources Information Center

Andrews, Matthew

2016-01-01

This paper examines the introduction at Oxford Brookes University of a Grade Point Average (GPA) scheme alongside the traditional honours degree classification. It considers the reasons for the introduction of GPA, the way in which the scheme was implemented, and offers an insight into the impact of GPA at Brookes. Finally, the paper considers…

PREFACE: 2nd Russia-Japan-USA Symposium on the Fundamental and Applied Problems of Terahertz Devices and Technologies (RJUS TeraTech - 2013)

NASA Astrophysics Data System (ADS)

Karasik, Valeriy; Ryzhii, Viktor; Yurchenko, Stanislav

2014-03-01

The 2nd Russia-Japan-USA Symposium 'The Fundamental & Applied Problems of Terahertz Devices & Technologies' (RJUS TeraTech - 2013) Bauman Moscow State Technical University Moscow, Russia, 3-6 June, 2013 The 2nd Russia-Japan-USA Symposium 'The Fundamental & Applied Problems of Terahertz Devices & Technologies' (RJUS TeraTech - 2013) was held in Bauman Moscow State Technical University on 3-6 June 2013 and was devoted to modern problems of terahertz optical technologies. RJUS TeraTech 2013 was organized by Bauman Moscow State Technical University in cooperation with Tohoku University (Sendai, Japan) and University of Buffalo (The State University of New York, USA). The Symposium was supported by Bauman Moscow State Technical University (Moscow, Russia) and Russian Foundation for Basic Research (grant number 13-08-06100-g). RJUS TeraTech - 2013 became a foundation for sharing and discussing modern and promising achievements in fundamental and applied problems of terahertz optical technologies, devices based on grapheme and grapheme strictures, condensed matter of different nature. Among participants of RJUS TeraTech - 2013, there were more than 100 researchers and students from different countries. This volume contains proceedings of the 2nd Russia-Japan-USA Symposium 'The Fundamental & Applied Problems of Terahertz Devices & Technologies'. Valeriy Karasik, Viktor Ryzhii and Stanislav Yurchenko Bauman Moscow State Technical University Symposium chair Anatoliy A Aleksandrov, Rector of BMSTU Symposium co-chair Valeriy E Karasik, Head of the Research and Educational Center 'PHOTONICS AND INFRARED TECHNOLOGY' (Russia) Invited Speakers Taiichi Otsuji, Research Institute of Electrical Communication, Tohoku University, Sendai, Japan Akira Satou, Research Institute of Electrical Communication, Tohoku University, Sendai, Japan Michael Shur, Electrical, Computer and System Engineering and Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, NY, USA Natasha Kirova, University Paris-Sud, France Andrei Sergeev, Department of Electrical Engineering, The University of Buffalo, The State University of New Your, Buffalo, NY, USA Magnus Willander, Linkoping University (LIU), Department of Science and Technology, Linkopings, Sweden Dmitry R Khohlov, Physical Faculty, Lomonosov Moscow State University, Russia Vladimir L Vaks, Institute for Physics of Microstructures of Russian Academy of Sciences, Russia

Applications of Support Vector Machines In Chemo And Bioinformatics

NASA Astrophysics Data System (ADS)

Jayaraman, V. K.; Sundararajan, V.

2010-10-01

Conventional linear & nonlinear tools for classification, regression & data driven modeling are being replaced on a rapid scale by newer techniques & tools based on artificial intelligence and machine learning. While the linear techniques are not applicable for inherently nonlinear problems, newer methods serve as attractive alternatives for solving real life problems. Support Vector Machine (SVM) classifiers are a set of universal feed-forward network based classification algorithms that have been formulated from statistical learning theory and structural risk minimization principle. SVM regression closely follows the classification methodology. In this work recent applications of SVM in Chemo & Bioinformatics will be described with suitable illustrative examples.

Intelligent Maintenance Training Technology

DTIC Science & Technology

1988-03-31

Psychology Knowledge Systems Laboratory University of California Stanford University Berkeley, CA 94720 701 Welch Road Palo Alto, CA 94304 Dr. Milton S ...David S . Surmon James Wogulis 0 Behavioral Technology Laboratories Department of Psychology University of Southern California Sponsored by Office of...Munro Quentin A. Pizzini David S . Surmon James Wogulis March 1988 U Technical Report No. 110 Behavioral Technology Laboratories University of Southern

Gynecomastia Classification for Surgical Management: A Systematic Review and Novel Classification System.

PubMed

Waltho, Daniel; Hatchell, Alexandra; Thoma, Achilleas

2017-03-01

Gynecomastia is a common deformity of the male breast, where certain cases warrant surgical management. There are several surgical options, which vary depending on the breast characteristics. To guide surgical management, several classification systems for gynecomastia have been proposed. A systematic review was performed to (1) identify all classification systems for the surgical management of gynecomastia, and (2) determine the adequacy of these classification systems to appropriately categorize the condition for surgical decision-making. The search yielded 1012 articles, and 11 articles were included in the review. Eleven classification systems in total were ascertained, and a total of 10 unique features were identified: (1) breast size, (2) skin redundancy, (3) breast ptosis, (4) tissue predominance, (5) upper abdominal laxity, (6) breast tuberosity, (7) nipple malposition, (8) chest shape, (9) absence of sternal notch, and (10) breast skin elasticity. On average, classification systems included two or three of these features. Breast size and ptosis were the most commonly included features. Based on their review of the current classification systems, the authors believe the ideal classification system should be universal and cater to all causes of gynecomastia; be surgically useful and easy to use; and should include a comprehensive set of clinically appropriate patient-related features, such as breast size, breast ptosis, tissue predominance, and skin redundancy. None of the current classification systems appears to fulfill these criteria.

Learning to Obtain Reward, but Not Avoid Punishment, Is Affected by Presence of PTSD Symptoms in Male Veterans: Empirical Data and Computational Model

DTIC Science & Technology

2013-08-27

University of New Jersey, Newark, New Jersey, United States of America, 3 Department of Psychology , Rutgers, The State University of New Jersey...United States of America, 5 Marcs Institute for Brain and Behaviour & School of Social Sciences and Psychology , University of Western Sydney, Sydney...for current, severe PTSD symptoms (PTSS) were tested on a probabilistic classification task [19] that interleaves reward learning and punishment

Approach for a Clinically Useful Comprehensive Classification of Vascular and Neural Aspects of Diabetic Retinal Disease

PubMed Central

Abramoff, Michael D.; Fort, Patrice E.; Han, Ian C.; Jayasundera, K. Thiran; Sohn, Elliott H.; Gardner, Thomas W.

2018-01-01

The Early Treatment Diabetic Retinopathy Study (ETDRS) and other standardized classification schemes have laid a foundation for tremendous advances in the understanding and management of diabetic retinopathy (DR). However, technological advances in optics and image analysis, especially optical coherence tomography (OCT), OCT angiography (OCTa), and ultra-widefield imaging, as well as new discoveries in diabetic retinal neuropathy (DRN), are exposing the limitations of ETDRS and other classification systems to completely characterize retinal changes in diabetes, which we term diabetic retinal disease (DRD). While it may be most straightforward to add axes to existing classification schemes, as diabetic macular edema (DME) was added as an axis to earlier DR classifications, doing so may make these classifications increasingly complicated and thus clinically intractable. Therefore, we propose future research efforts to develop a new, comprehensive, and clinically useful classification system that will identify multimodal biomarkers to reflect the complex pathophysiology of DRD and accelerate the development of therapies to prevent vision-threatening DRD. PMID:29372250

Approach for a Clinically Useful Comprehensive Classification of Vascular and Neural Aspects of Diabetic Retinal Disease.

PubMed

Abramoff, Michael D; Fort, Patrice E; Han, Ian C; Jayasundera, K Thiran; Sohn, Elliott H; Gardner, Thomas W

2018-01-01

The Early Treatment Diabetic Retinopathy Study (ETDRS) and other standardized classification schemes have laid a foundation for tremendous advances in the understanding and management of diabetic retinopathy (DR). However, technological advances in optics and image analysis, especially optical coherence tomography (OCT), OCT angiography (OCTa), and ultra-widefield imaging, as well as new discoveries in diabetic retinal neuropathy (DRN), are exposing the limitations of ETDRS and other classification systems to completely characterize retinal changes in diabetes, which we term diabetic retinal disease (DRD). While it may be most straightforward to add axes to existing classification schemes, as diabetic macular edema (DME) was added as an axis to earlier DR classifications, doing so may make these classifications increasingly complicated and thus clinically intractable. Therefore, we propose future research efforts to develop a new, comprehensive, and clinically useful classification system that will identify multimodal biomarkers to reflect the complex pathophysiology of DRD and accelerate the development of therapies to prevent vision-threatening DRD.

Surface Modification of Orthodontic Bracket Models via Ion Implantation: Effect on Coefficients of Friction

DTIC Science & Technology

1989-01-01

FEB 2 2 1990 Stephen Walter Andrews, D.M.D. The University of North Carolina at Chapel Hill Department of Orthodontics School of Dentistry 1989 Robert...PROJECT TASK WORK UNIT ELEMENT NO. NO. NO. ACCESSION NO. 11. TITLE (Include Security Classification) (UNCLASSIFIED) SURFACE MODIFICATION OF ORTHODONTIC ...Previous editions are obsolete. SECURITY CLASSIFICATION OF THIS PAGE AFIT/CI "OVERPRINT" SURFACE MODIFICATION OF ORTHODONTIC BRACKET MODELS VIA ION

Views on the Oberg-Manske-Tonkin Classification System for Congenital Anomalies of the Hand and Upper Limb.

PubMed

Lowry, R Brian; Bedard, Tanya; Kiefer, Gerhard N; Sass, Kimberly R

2017-05-01

A new classification system was proposed by Tonkin et al as a replacement for the Swanson/International Federation of Societies for Surgery of the Hand system. We have reviewed their aims and have pointed out a number of problems that will make it difficult to be universally accepted. Copyright © 2017 American Society for Surgery of the Hand. Published by Elsevier Inc. All rights reserved.

Management Overview of System Technical Support Plan for the FIREFINDER System Support Center.

DTIC Science & Technology

1980-08-06

34.. /b , UNCLASSIFIED SECU ITY CLASSIFICATION OF THIS PAGE (When Data Entered) READ INSTRUCTIONSREPORT DOCUMENTATION PAGE BEFORE COMPLETING FORM I. REPORT...Evaluation Agency USASA U.S. Army Security Agency UTM Universal Transverse Mercator V Volts V&V Verification and Validation VCSA Vice-Chief of Staff, Army VDD... classification , configuration audits, and so forth. INSTR 5010.27 Management of Automatic Data System 9 November 1971 Development Establishes uniform

A digital atlas of breast histopathology: an application of web based virtual microscopy

PubMed Central

Lundin, M; Lundin, J; Helin, H; Isola, J

2004-01-01

Aims: To develop an educationally useful atlas of breast histopathology, using advanced web based virtual microscopy technology. Methods: By using a robotic microscope and software adopted and modified from the aerial and satellite imaging industry, a virtual microscopy system was developed that allows fully automated slide scanning and image distribution via the internet. More than 150 slides were scanned at high resolution with an oil immersion ×40 objective (numerical aperture, 1.3) and archived on an image server residing in a high speed university network. Results: A publicly available website was constructed, http://www.webmicroscope.net/breastatlas, which features a comprehensive virtual slide atlas of breast histopathology according to the World Health Organisation 2003 classification. Users can view any part of an entire specimen at any magnification within a standard web browser. The virtual slides are supplemented with concise textual descriptions, but can also be viewed without diagnostic information for self assessment of histopathology skills. Conclusions: Using the technology described here, it is feasible to develop clinically and educationally useful virtual microscopy applications. Web based virtual microscopy will probably become widely used at all levels in pathology teaching. PMID:15563669

Natural History of Periodontitis and a Review of Technologies to Prevent and Treat It.

ERIC Educational Resources Information Center

Antczak-Bouckoms, Alexia

1994-01-01

The classification scheme for periodontal diseases developed in 1989 is discussed, and technologies, both surgical and nonsurgical, for prevention, control, and regeneration of periodontal tissues are described and compared. Research needs are discussed. (MSE)

Facilitation of University Technology Transfer Through a Cooperative Service-University-Industry Program.

DTIC Science & Technology

1997-02-01

through technology transfer centers for applied engineering training and consulting, and second, in assisting and expanding university technology...both the services and industry with an applied engineering program and the training for new engineers and researchers, (2) serve as an information

University Technology Transfer Factors as Predictors of Entrepreneurial Orientation

ERIC Educational Resources Information Center

Kirkman, Dorothy M.

2011-01-01

University technology transfer is a collaborative effort between academia and industry involving knowledge sharing and learning. Working closely with their university partners affords biotechnology firms the opportunity to successfully develop licensed inventions and gain access to novel scientific and technological discoveries. These factors may…

PREFACE: Modern Technologies in Industrial Engineering (ModTech2015)

NASA Astrophysics Data System (ADS)

Oanta, E.; Comaneci, R.; Carausu, C.; Placzek, M.; Cohal, V.; Topala, P.; Nedelcu, D.

2015-11-01

The dominant feature of the current stage of society development is the update, refinement and innovation of the technological processes and products whose ultimate goal is to satisfy the market requirements. New and modern technologies should be considered in terms of their applicability in industry while the materials can lead to an increase in the quality of the end products. Replacing the existing technologies with innovative and eco-efficient technologies can contribute to an added value increase in the production of new materials. Materials are one of the most dynamic and prospective fields, with applications in all other fields. The development of new advanced materials and technologies shall contribute to the procurement of a wide range of reliable products, with competitive prices and worldwide performance, high sensitivity and functionality, user-friendly and reduced energy consumption, for different industrial applications. Research in the field of advanced/intelligent materials supposes a fundamental, experimental, laboratory and technological research and its approach has to be linked to the application. This involves, even for the niche fields, complex projects which result in scientific issues in top journals, patents and functional models. The third edition of ModTech International Conference was held in Mamaia, Romania, between June 17-20, with the Professional Association in Modern Manufacturing Technologies, ModTech, as main organizer, and the Constanta Maritime University, Constanta, Romania, Silesian University of Technology, Gliwice, Poland, the Technical University of Chisinau, Republic of Moldova and the Donetsk National Technical University, Donetsk, Ukraine as co-organizers. The ModTech2015 International Conference brought together representatives of technology and materials manufacturers, various universities, professional associations and research institutes that exchanged the latest knowledge on the conference topics. This edition was attended by 140 participants from 17 countries. The authors and co-authors were from various countries worldwide, namely: Sweden, China, Switzerland, Romania, Serbia, Germany, Netherlands, Belgium, France, South Korea, Taiwan, Poland, USA, Slovenia, Turkey, Republic of Moldova, Russia, Finland, Japan, Ukraine, Portugal, Uzbekistan, Iraq, Italy and India. The Keynote Speakers were as follows: Prof. Esteban Broitman - Linkoping University, Sweden; Prof. Ziyi Ge - NIMTE, Chinese Academy of Sciences, Ningbo, China; Prof. Thomas Graule - EMPA, Switzerland; prof. Razvan Tamas - Constanta Maritime University, Romania; Prof. Rainer Gadow - University of Stuttgart, Germany; Prof. Marcel Van de Voorde - DELFT University of Technology, Netherlands; Prof. Chris Lacor - Vrije University, Brussels, Belgium; Prof. Fiqiri Hodaj - National Polytechnique Institute of Grenoble, France; Prof. Hong Seok Park - University of Ulsan, South Korea; Prof. Der-Jang Liaw - National Taiwan University of Science and Technology, Taiwan; Prof. Petrica Vizureanu - Gheorghe Asachi Technical University of Iasi, Romania. The main publications of ModTech2015 International Conference are as follows: IOP Conference Series: Materials Science and Engineering, United Kingdom, Indian Journal of Engineering & Materials Sciences (IJEMS) and International Journal of Modern Manufacturing Technologies (IJMMT).

Cases of Coastal Zone Change and Land Use/Land Cover Change: a learning module that goes beyond the "how" of doing image processing and change detection to asking the "why" about what are the "driving forces" of global change.

NASA Astrophysics Data System (ADS)

Ford, R. E.

2006-12-01

In 2006 the Loma Linda University ESSE21 Mesoamerican Project (Earth System Science Education for the 21st Century) along with partners such as the University of Redlands and California State University, Pomona, produced an online learning module that is designed to help students learn critical remote sensing skills-- specifically: ecosystem characterization, i.e. doing a supervised or unsupervised classification of satellite imagery in a tropical coastal environment. And, it would teach how to measure land use / land cover change (LULC) over time and then encourage students to use that data to assess the Human Dimensions of Global Change (HDGC). Specific objectives include: 1. Learn where to find remote sensing data and practice downloading, pre-processing, and "cleaning" the data for image analysis. 2. Use Leica-Geosystems ERDAS Imagine or IDRISI Kilimanjaro to analyze and display the data. 3. Do an unsupervised classification of a LANDSAT image of a protected area in Honduras, i.e. Cuero y Salado, Pico Bonito, or Isla del Tigre. 4. Virtually participate in a ground-validation exercise that would allow one to re-classify the image into a supervised classification using the FAO Global Land Cover Network (GLCN) classification system. 5. Learn more about each protected area's landscape, history, livelihood patterns and "sustainability" issues via virtual online tours that provide ground and space photos of different sites. This will help students in identifying potential "training sites" for doing a supervised classification. 6. Study other global, US, Canadian, and European land use/land cover classification systems and compare their advantages and disadvantages over the FAO/GLCN system. 7. Learn to appreciate the advantages and disadvantages of existing LULC classification schemes and adapt them to local-level user needs. 8. Carry out a change detection exercise that shows how land use and/or land cover has changed over time for the protected area of your choice. The presenter will demonstrate the module, assess the collaborative process which created it, and describe how it has been used so far by users in the US as well as in Honduras and elsewhere via a series joint workshops held in Mesoamerica. Suggestions for improvement will be requested. See the module and related content resources at: http://resweb.llu.edu/rford/ESSE21/LUCCModule/

Real time workload classification from an ambulatory wireless EEG system using hybrid EEG electrodes.

PubMed

Matthews, R; Turner, P J; McDonald, N J; Ermolaev, K; Manus, T; Shelby, R A; Steindorf, M

2008-01-01

This paper describes a compact, lightweight and ultra-low power ambulatory wireless EEG system based upon QUASAR's innovative noninvasive bioelectric sensor technologies. The sensors operate through hair without skin preparation or conductive gels. Mechanical isolation built into the harness permits the recording of high quality EEG data during ambulation. Advanced algorithms developed for this system permit real time classification of workload during subject motion. Measurements made using the EEG system during ambulation are presented, including results for real time classification of subject workload.

Remote sensing application to regional activities

NASA Technical Reports Server (NTRS)

Shahrokhi, F.; Jones, N. L.; Sharber, L. A.

1976-01-01

Two agencies within the State of Tennessee were identified whereby the transfer of aerospace technology, namely remote sensing, could be applied to their stated problem areas. Their stated problem areas are wetland and land classification and strip mining studies. In both studies, LANDSAT data was analyzed with the UTSI video-input analog/digital automatic analysis and classification facility. In the West Tennessee area three land-use classifications could be distinguished; cropland, wetland, and forest. In the East Tennessee study area, measurements were submitted to statistical tests which verified the significant differences due to natural terrain, stripped areas, various stages of reclamation, water, etc. Classifications for both studies were output in the form of maps of symbols and varying shades of gray.

CCS Activities Being Performed by the U.S. DOE

PubMed Central

Dressel, Brian; Deel, Dawn; Rodosta, Traci; Plasynski, Sean; Litynski, John; Myer, Larry

2011-01-01

The United States Department of Energy (DOE) is the lead federal agency for the development and deployment of carbon sequestration technologies. Its mission includes promoting scientific and technological innovations and transfer of knowledge for safe and permanent storage of CO2 in the subsurface. To accomplish its mission, DOE is characterizing and classifying potential geologic storage reservoirs in basins throughout the U.S. and Canada, and developing best practices for project developers, to help ensure the safety of future geologic storage projects. DOE’s Carbon Sequestration Program, Regional Carbon Sequestration Partnership (RCSP) Initiative, administered by the National Energy Technology Laboratory (NETL), is identifying, characterizing, and testing potential injection formations. The RCSP Initiative consists of collaborations among government, industry, universities, and international organizations. Through this collaborative effort, a series of integrated knowledge-based tools have been developed to help potential sequestration project developers. They are the Carbon Sequestration Atlas of the United States and Canada, National Carbon Sequestration Database and Geographic System (NATCARB), and best practice manuals for CCS including Depositional Reservoir Classification for CO2; Public Outreach and Education for Carbon Storage Projects; Monitoring, Verification, and Accounting of CO2 Stored in Deep Geologic Formation; Site Screening, Site Selection, and Initial Characterization of CO2 Storage in Deep Geologic Formations. DOE’s future research will help with refinement of these tools and additional best practice manuals (BPM) which focus on other technical aspects of project development. PMID:21556188

Cyberpsychology: a human-interaction perspective based on cognitive modeling.

PubMed

Emond, Bruno; West, Robert L

2003-10-01

This paper argues for the relevance of cognitive modeling and cognitive architectures to cyberpsychology. From a human-computer interaction point of view, cognitive modeling can have benefits both for theory and model building, and for the design and evaluation of sociotechnical systems usability. Cognitive modeling research applied to human-computer interaction has two complimentary objectives: (1) to develop theories and computational models of human interactive behavior with information and collaborative technologies, and (2) to use the computational models as building blocks for the design, implementation, and evaluation of interactive technologies. From the perspective of building theories and models, cognitive modeling offers the possibility to anchor cyberpsychology theories and models into cognitive architectures. From the perspective of the design and evaluation of socio-technical systems, cognitive models can provide the basis for simulated users, which can play an important role in usability testing. As an example of application of cognitive modeling to technology design, the paper presents a simulation of interactive behavior with five different adaptive menu algorithms: random, fixed, stacked, frequency based, and activation based. Results of the simulation indicate that fixed menu positions seem to offer the best support for classification like tasks such as filing e-mails. This research is part of the Human-Computer Interaction, and the Broadband Visual Communication research programs at the National Research Council of Canada, in collaboration with the Carleton Cognitive Modeling Lab at Carleton University.

77 FR 58219 - National Emission Standards for Hazardous Air Pollutant Emissions: Hard and Decorative Chromium...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-19

..., and control technologies) no less frequently than every 8 years. Section 112(f)(2) of the CAA requires... Classification System. \\2\\ Maximum Achievable Control Technology. C. Where can I get a copy of this document and... areas of air pollution control. Additional information is available on the residual risk and technology...

Psychological Effects of Technological/Human-Caused Environmental Disasters: Examination of the Navajo and Uranium

ERIC Educational Resources Information Center

Markstrom, Carol A.; Charley, Perry H.

2003-01-01

Disasters can be defined as catastrophic events that challenge the normal range of human coping ability. The technological/human-caused disaster, a classification of interest in this article, is attributable to human error or misjudgment. Lower socioeconomic status and race intersect in the heightened risk for technological/human-caused disasters…

Yaounde French Speech Corpus

DTIC Science & Technology

2017-03-01

the Center for Technology Enhanced Language Learning (CTELL), a research cell in the Department of Foreign Languages, United States Military Academy...models for automatic speech recognition (ASR), and to, thereby, investigate the utility of ASR in pedagogical technology . The corpus is a sample of...lexical resources, language technology 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT UU 18. NUMBER OF

Technological Change in the Auto Industry. CAW Technology Project.

ERIC Educational Resources Information Center

Robertson, David; Wareham, Jeff

Today the auto industry is going through the most radical restructuring it has experienced since its birth. Included in this upheaval is a dramatic reorganization of the workplace, and technology has been both a catalyst and a central part of such change. The issues involved touch every facet of workplace life: job classifications and demarcation…

Evaluating Online Tutorials for University Faculty, Staff, and Students: The Contribution of Just-in-Time Online Resources to Learning and Performance

ERIC Educational Resources Information Center

Brill, Jennifer; Park, Yeonjeong

2011-01-01

The effective integration of current technologies in teaching and research is a high priority for today's universities. To support the technology skills of university faculty, staff, and students, the subject university's office for faculty training and support, provides free, 24/7 access to a collection of online technology tutorials leased from…

Feasibility Study on a Portable Field Pest Classification System Design Based on DSP and 3G Wireless Communication Technology

PubMed Central

Han, Ruizhen; He, Yong; Liu, Fei

2012-01-01

This paper presents a feasibility study on a real-time in field pest classification system design based on Blackfin DSP and 3G wireless communication technology. This prototype system is composed of remote on-line classification platform (ROCP), which uses a digital signal processor (DSP) as a core CPU, and a host control platform (HCP). The ROCP is in charge of acquiring the pest image, extracting image features and detecting the class of pest using an Artificial Neural Network (ANN) classifier. It sends the image data, which is encoded using JPEG 2000 in DSP, to the HCP through the 3G network at the same time for further identification. The image transmission and communication are accomplished using 3G technology. Our system transmits the data via a commercial base station. The system can work properly based on the effective coverage of base stations, no matter the distance from the ROCP to the HCP. In the HCP, the image data is decoded and the pest image displayed in real-time for further identification. Authentication and performance tests of the prototype system were conducted. The authentication test showed that the image data were transmitted correctly. Based on the performance test results on six classes of pests, the average accuracy is 82%. Considering the different live pests’ pose and different field lighting conditions, the result is satisfactory. The proposed technique is well suited for implementation in field pest classification on-line for precision agriculture. PMID:22736996

Feasibility study on a portable field pest classification system design based on DSP and 3G wireless communication technology.

PubMed

Han, Ruizhen; He, Yong; Liu, Fei

2012-01-01

This paper presents a feasibility study on a real-time in field pest classification system design based on Blackfin DSP and 3G wireless communication technology. This prototype system is composed of remote on-line classification platform (ROCP), which uses a digital signal processor (DSP) as a core CPU, and a host control platform (HCP). The ROCP is in charge of acquiring the pest image, extracting image features and detecting the class of pest using an Artificial Neural Network (ANN) classifier. It sends the image data, which is encoded using JPEG 2000 in DSP, to the HCP through the 3G network at the same time for further identification. The image transmission and communication are accomplished using 3G technology. Our system transmits the data via a commercial base station. The system can work properly based on the effective coverage of base stations, no matter the distance from the ROCP to the HCP. In the HCP, the image data is decoded and the pest image displayed in real-time for further identification. Authentication and performance tests of the prototype system were conducted. The authentication test showed that the image data were transmitted correctly. Based on the performance test results on six classes of pests, the average accuracy is 82%. Considering the different live pests' pose and different field lighting conditions, the result is satisfactory. The proposed technique is well suited for implementation in field pest classification on-line for precision agriculture.

Facilitation of University Technology Transfer through a Cooperative Army-University-Industry Program,

DTIC Science & Technology

1995-01-01

through Army technology transfer centers for applied engineering training and consulting, and second in assisting and expanding university technology...industry with an applied engineering program and the training for new engineers and researchers, serve as an information resource for both the Army and

University-Industry Entrepreneurship: The Organization and Management of American University Technology Transfer Units.

ERIC Educational Resources Information Center

Dill, David D.

1995-01-01

A survey of 289 university technology transfer units investigated their organization, management, and perceived performance effectiveness. Unit types studied included licensing and patent offices, small business development centers, research and technology centers, business facility incubators, and entrepreneurial investment/endowment offices.…

Automated reuseable components system study results

NASA Technical Reports Server (NTRS)

Gilroy, Kathy

1989-01-01

The Automated Reusable Components System (ARCS) was developed under a Phase 1 Small Business Innovative Research (SBIR) contract for the U.S. Army CECOM. The objectives of the ARCS program were: (1) to investigate issues associated with automated reuse of software components, identify alternative approaches, and select promising technologies, and (2) to develop tools that support component classification and retrieval. The approach followed was to research emerging techniques and experimental applications associated with reusable software libraries, to investigate the more mature information retrieval technologies for applicability, and to investigate the applicability of specialized technologies to improve the effectiveness of a reusable component library. Various classification schemes and retrieval techniques were identified and evaluated for potential application in an automated library system for reusable components. Strategies for library organization and management, component submittal and storage, and component search and retrieval were developed. A prototype ARCS was built to demonstrate the feasibility of automating the reuse process. The prototype was created using a subset of the classification and retrieval techniques that were investigated. The demonstration system was exercised and evaluated using reusable Ada components selected from the public domain. A requirements specification for a production-quality ARCS was also developed.

The Evolving Relationship Between Technology and National Security in China: Innovation, Defense Transformation, and China’s Place in the Global Technology Order

DTIC Science & Technology

2016-02-12

SECURITY CLASSIFICATION OF: This project examined China’s drive to become a world-class defense and dual -use technological and industrial power and...2211 China, science, technology, dual use, defense, security, innovation REPORT DOCUMENTATION PAGE 11. SPONSOR/MONITOR’S REPORT NUMBER(S) 10...Place in the Global Technology Order Report Title This project examined China’s drive to become a world-class defense and dual -use technological and

[The concept of the organ, as a hierarchal unit of human body, and its place in teaching histology at the medical university and medical college].

PubMed

Miadelets, O D; Miadelets, N Ia; Miadelets, V O

2011-01-01

This paper deals with the methodological aspects of teaching histology at the medical university and medical college. The authors raise the issue of the necessity of teaching of the topic "Introduction to Special Histology" and the inclusion of the appropriate chapter into the textbooks. This is important for the students, as the formation of the general concepts of organ structure and function, components, and classification will aid in the further study of specific organs during the course of Special Histology. The authors describe their own experience in teaching of the section, dedicated to the general regularities of organ structure, present some definitions and classifications that are used by them for a number of years.

A universal hybrid decision tree classifier design for human activity classification.

PubMed

Chien, Chieh; Pottie, Gregory J

2012-01-01

A system that reliably classifies daily life activities can contribute to more effective and economical treatments for patients with chronic conditions or undergoing rehabilitative therapy. We propose a universal hybrid decision tree classifier for this purpose. The tree classifier can flexibly implement different decision rules at its internal nodes, and can be adapted from a population-based model when supplemented by training data for individuals. The system was tested using seven subjects each monitored by 14 triaxial accelerometers. Each subject performed fourteen different activities typical of daily life. Using leave-one-out cross validation, our decision tree produced average classification accuracies of 89.9%. In contrast, the MATLAB personalized tree classifiers using Gini's diversity index as the split criterion followed by optimally tuning the thresholds for each subject yielded 69.2%.

37 CFR 1.76 - Application data sheet.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Section 1.76 Patents, Trademarks, and Copyrights UNITED STATES PATENT AND TRADEMARK OFFICE, DEPARTMENT OF... title of the invention, a suggested classification, by class and subclass, the Technology Center to... and Technology Center information should be supplied for provisional applications whether or not...

WND-CHARM: Multi-purpose image classification using compound image transforms

PubMed Central

Orlov, Nikita; Shamir, Lior; Macura, Tomasz; Johnston, Josiah; Eckley, D. Mark; Goldberg, Ilya G.

2008-01-01

We describe a multi-purpose image classifier that can be applied to a wide variety of image classification tasks without modifications or fine-tuning, and yet provide classification accuracy comparable to state-of-the-art task-specific image classifiers. The proposed image classifier first extracts a large set of 1025 image features including polynomial decompositions, high contrast features, pixel statistics, and textures. These features are computed on the raw image, transforms of the image, and transforms of transforms of the image. The feature values are then used to classify test images into a set of pre-defined image classes. This classifier was tested on several different problems including biological image classification and face recognition. Although we cannot make a claim of universality, our experimental results show that this classifier performs as well or better than classifiers developed specifically for these image classification tasks. Our classifier’s high performance on a variety of classification problems is attributed to (i) a large set of features extracted from images; and (ii) an effective feature selection and weighting algorithm sensitive to specific image classification problems. The algorithms are available for free download from openmicroscopy.org. PMID:18958301

A new epileptic seizure classification based exclusively on ictal semiology.

PubMed

Lüders, H; Acharya, J; Baumgartner, C; Benbadis, S; Bleasel, A; Burgess, R; Dinner, D S; Ebner, A; Foldvary, N; Geller, E; Hamer, H; Holthausen, H; Kotagal, P; Morris, H; Meencke, H J; Noachtar, S; Rosenow, F; Sakamoto, A; Steinhoff, B J; Tuxhorn, I; Wyllie, E

1999-03-01

Historically, seizure semiology was the main feature in the differential diagnosis of epileptic syndromes. With the development of clinical EEG, the definition of electroclinical complexes became an essential tool to define epileptic syndromes, particularly focal epileptic syndromes. Modern advances in diagnostic technology, particularly in neuroimaging and molecular biology, now permit better definitions of epileptic syndromes. At the same time detailed studies showed that there does not necessarily exist a one-to-one relationship between epileptic seizures or electroclinical complexes and epileptic syndromes. These developments call for the reintroduction of an epileptic seizure classification based exclusively on clinical semiology, similar to the seizure classifications which were used by neurologists before the introduction of the modern diagnostic methods. This classification of epileptic seizures should always be complemented by an epileptic syndrome classification based on all the available clinical information (clinical history, neurological exam, ictal semiology, EEG, anatomical and functional neuroimaging, etc.). Such an approach is more consistent with mainstream clinical neurology and would avoid the current confusion between the classification of epileptic seizures (which in the International Seizure Classification is actually a classification of electroclinical complexes) and the classification of epileptic syndromes.

Classifying the Colleges of the Forgotten Americans: A Geographically-Based Classification of Public Master's Colleges and Universities

ERIC Educational Resources Information Center

Katsinas, Stephen G.; Kinkead, J. Clint

2011-01-01

At the 2009 meeting of the Association for the Study of Higher Education's Council on Public Policy in Higher Education, Pat Callan, President of the National Center for Public Policy and Higher Education, asserted that Master's Colleges and Universities (MCUs) are the most understudied sector of American higher education. This paper described how…

An Automated Analyzer System to Strengthen Teaching and Research Infrastructure at West Virginia State University

DTIC Science & Technology

2015-08-18

SECURITY CLASSIFICATION OF: Arena 60 Discrete Photometric Analyzer System and ancillary instrumentation were acquired to increase our analytical...Infrastructure at West Virginia State University Report Title Arena 60 Discrete Photometric Analyzer System and ancillary instrumentation were acquired...Progress Principal Accomplishments: a. One Postdoctoral fellow was trained using the automated Arena 60 Discrete Photometric Analyzer and

Australian University Technology Transfer Managers: Backgrounds, Work Roles, Specialist Skills and Perceptions

ERIC Educational Resources Information Center

Harman, Grant; Stone, Christopher

2006-01-01

Technology transfer managers are a new group of specialist professionals engaged in facilitating transfer of university research discoveries and inventions to business firms and other research users. With relatively high academic qualifications and enjoying higher salaries than many other comparable university staff, technology transfer managers…

Technology and English Language Teaching (ELT)

ERIC Educational Resources Information Center

Kazzemi, Akram; Narafshan, Mehry Haddad

2014-01-01

This paper is a try to investigate the attitudes of English language university teachers in Kerman (Iran) toward computer technology and find the hidden factors that make university teachers avoid using technology in English language teaching. 30 university teachers participated in this study. A questionnaire and semi-structured interview were…

Understanding Quadruple Helix Relationships of University Technology Commercialisation: A Micro-Level Approach

ERIC Educational Resources Information Center

McAdam, Maura; Miller, Kristel; McAdam, Rodney

2018-01-01

Given recent demands for more co-creational university technology commercialisation processes involving industry and end users, this paper adopts a micro-level approach to explore the challenges faced by universities when managing Quadruple Helix stakeholders within technology commercialisation processes. To explore this research question, a…

Program Changes in Technology Teacher Education in Taiwan.

ERIC Educational Resources Information Center

Lai, Chih-Chien Steven

Taiwan has two technology teacher departments: one at the National Taiwan Normal University (NTNU) and the other at National Kaohsiung Normal University (NKNU). In recent years, both universities' technology teacher education programs have simultaneously followed two lines of development: the transition from an industrial arts education program to…

A project to transfer technology from NASA centers in support of industrial innovation in the midwest

NASA Technical Reports Server (NTRS)

Barr, B. G.

1986-01-01

A technology transfer program utilizing graduate students in mechanical engineering at the University of Kansas was initiated in early 1981. The objective of the program was to encourage industrial innovation in the Midwest through improved industry/university cooperation and the utilization of NASA technology. A related and important aspect of the program was the improvement of graduate engineering education through the involvement of students in the identification and accomplishment of technological objectives in cooperation with scientists at NASA centers and engineers in industry. The pilot NASA/University Industrial Innovation Program was an outstanding success based on its ability to: attract top graduate students; secure industry support; and stimulate industry/university cooperation leading to enhanced university capability and utilization of advanced technology by industry.

Towards a consensus on a hearing preservation classification system.

PubMed

Skarzynski, Henryk; van de Heyning, P; Agrawal, S; Arauz, S L; Atlas, M; Baumgartner, W; Caversaccio, M; de Bodt, M; Gavilan, J; Godey, B; Green, K; Gstoettner, W; Hagen, R; Han, D M; Kameswaran, M; Karltorp, E; Kompis, M; Kuzovkov, V; Lassaletta, L; Levevre, F; Li, Y; Manikoth, M; Martin, J; Mlynski, R; Mueller, J; O'Driscoll, M; Parnes, L; Prentiss, S; Pulibalathingal, S; Raine, C H; Rajan, G; Rajeswaran, R; Rivas, J A; Rivas, A; Skarzynski, P H; Sprinzl, G; Staecker, H; Stephan, K; Usami, S; Yanov, Y; Zernotti, M E; Zimmermann, K; Lorens, A; Mertens, G

2013-01-01

The comprehensive Hearing Preservation classification system presented in this paper is suitable for use for all cochlear implant users with measurable pre-operative residual hearing. If adopted as a universal reporting standard, as it was designed to be, it should prove highly beneficial by enabling future studies to quickly and easily compare the results of previous studies and meta-analyze their data. To develop a comprehensive Hearing Preservation classification system suitable for use for all cochlear implant users with measurable pre-operative residual hearing. The HEARRING group discussed and reviewed a number of different propositions of a HP classification systems and reviewed critical appraisals to develop a qualitative system in accordance with the prerequisites. The Hearing Preservation Classification System proposed herein fulfills the following necessary criteria: 1) classification is independent from users' initial hearing, 2) it is appropriate for all cochlear implant users with measurable pre-operative residual hearing, 3) it covers the whole range of pure tone average from 0 to 120 dB; 4) it is easy to use and easy to understand.

Comparison of support vector machine classification to partial least squares dimension reduction with logistic descrimination of hyperspectral data

NASA Astrophysics Data System (ADS)

Wilson, Machelle; Ustin, Susan L.; Rocke, David

2003-03-01

Remote sensing technologies with high spatial and spectral resolution show a great deal of promise in addressing critical environmental monitoring issues, but the ability to analyze and interpret the data lags behind the technology. Robust analytical methods are required before the wealth of data available through remote sensing can be applied to a wide range of environmental problems for which remote detection is the best method. In this study we compare the classification effectiveness of two relatively new techniques on data consisting of leaf-level reflectance from plants that have been exposed to varying levels of heavy metal toxicity. If these methodologies work well on leaf-level data, then there is some hope that they will also work well on data from airborne and space-borne platforms. The classification methods compared were support vector machine classification of exposed and non-exposed plants based on the reflectance data, and partial east squares compression of the reflectance data followed by classification using logistic discrimination (PLS/LD). PLS/LD was performed in two ways. We used the continuous concentration data as the response during compression, and then used the binary response required during logistic discrimination. We also used a binary response during compression followed by logistic discrimination. The statistics we used to compare the effectiveness of the methodologies was the leave-one-out cross validation estimate of the prediction error.

An Updated Taxonomy and a Graphical Summary Tool for Optimal Classification and Comprehension of Omics Research.

PubMed

Pirih, Nina; Kunej, Tanja

2018-05-01

The volume of publications and the type of research approaches used in omics system sciences are vast and continue to expand rapidly. This increased complexity and heterogeneity of omics data are challenging data extraction, sensemaking, analyses, knowledge translation, and interpretation. An extended and dynamic taxonomy for the classification and summary of omics studies are essential. We present an updated taxonomy for classification of omics research studies based on four criteria: (1) type and number of genomic loci in a research study, (2) number of species and biological samples, (3) the type of omics technology (e.g., genomics, transcriptomics, and proteomics) and omics technology application type (e.g., pharmacogenomics and nutrigenomics), and (4) phenotypes. In addition, we present a graphical summary approach that enables the researchers to define the main characteristics of their study in a single figure, and offers the readers to rapidly grasp the published study and omics data. We searched the PubMed and the Web of Science from 09/2002 to 02/2018, including research and review articles, and identified 90 scientific publications. We propose a call toward omics studies' standardization for reporting in scientific literature. We anticipate the proposed classification scheme will usefully contribute to improved classification of published reports in genomics and other omics fields, and help data extraction from publications for future multiomics data integration.

Pre-Engineering Program: Science, Technology, Engineering and Mathematics (STEM)

DTIC Science & Technology

2013-08-29

educators in the Urbana-Champaign area. 15. SUBJECT TERMS STEM: science, technology , engineering, mathematics 16. SECURITY CLASSIFICATION OF: 19a. NAME...9132T-13-1-0002 4. TITLE AND SUBTITLE Pre-Engineering Program: Science, Technology , Engineering and Mathematics (STEM) 5c. PROGRAM ELEMENT NUMBER N...project was focused on underserved children in grades 1-6 who need, but have limited access to, out-of-school time STEM (science, technology

A Classification Model and an Open E-Learning System Based on Intuitionistic Fuzzy Sets for Instructional Design Concepts

ERIC Educational Resources Information Center

Güyer, Tolga; Aydogdu, Seyhmus

2016-01-01

This study suggests a classification model and an e-learning system based on this model for all instructional theories, approaches, models, strategies, methods, and technics being used in the process of instructional design that constitutes a direct or indirect resource for educational technology based on the theory of intuitionistic fuzzy sets…

The Council of Industrial Boiler Owners special project on non-utility fossil fuel ash classification

DOE Office of Scientific and Technical Information (OSTI.GOV)

Svendsen, R.L.

1996-12-31

Information is outlined on the Council of Industrial Boiler Owners (CIBO) special project on non-utility fossil fuel ash classification. Data are presented on; current (1996) regulatory status of fossil-fuel combustion wastes; FBC technology identified for further study; CIBO special project methods; Bevill amendment study factors; data collection; and CIBO special project status.

Methods for Tier 1 Modeling within the Training Range Environmental Evaluation and Characterization System

DTIC Science & Technology

2009-08-01

properties, part b. USLE K-Factor by Organic Matter Content Soil -Texture Classification Dry Bulk Density, g/cm3 Field Capacity, % Available...Universal Soil Loss Equation ( USLE ) can be used to estimate annual average sheet and rill erosion, A (tons/acre-yr), from the equation A R K L S...erodibility factors, K, for various soil classifications and percent organic matter content ( USLE Fact Sheet 2008). Textural Class Average Less than 2

Helicopter Antitank Weapons System: AH-1Q or OH-58Q?

DTIC Science & Technology

1975-06-06

CLASSIFICATION OF THIS PAGT fWhnn Dal» F.nlartid) REPORT DOCUMENTATION PAGE 1. REPORT NUMBER Z. GOVT ACCESSION NO 4. TITLE (and Sublltl...reverse. S.V -x .■’■ O ) ( s VCNMVK ^ X? DD 73^^73 EDITIOHOr » MOVBSlSOBSOLEt! Unclassified SECURITY CLASSIFICATION OF THIS PAGE...Iroquois in December I960 and received the first delivery in December 1961. It was designed with universal pylons to serve as mounts for weapons

Research on robotics by principal investigators of the Robotics Technology Development Program

DOE Office of Scientific and Technical Information (OSTI.GOV)

Harrigan, R.W.

The U.S. Department of Energy`s Office of Technology Development has been developing robotics and automation technologies for the clean-up and handling of hazardous and radioactive waste through one of its major elements, Cross Cutting and Advanced Technology development. CC&AT university research and development programs recognize the strong technology, base resident in the university community and sponsor a focused technology research and development program which stresses close interaction between the university sector and the DOE community. This report contains a compilation of research articles by each of 14 principle investigators supported by CC&AT to develop robotics and automation technologies for themore » clean-up and handling of hazardous and radioactive waste. This research has led to innovative solutions for waste clean-up problems, and it has moved technology out of university laboratories into functioning systems which has allowed early evaluation by site technologists.« less

Leveraging Long-term Seismic Catalogs for Automated Real-time Event Classification

NASA Astrophysics Data System (ADS)

Linville, L.; Draelos, T.; Pankow, K. L.; Young, C. J.; Alvarez, S.

2017-12-01

We investigate the use of labeled event types available through reviewed seismic catalogs to produce automated event labels on new incoming data from the crustal region spanned by the cataloged events. Using events cataloged by the University of Utah Seismograph Stations between October, 2012 and June, 2017, we calculate the spectrogram for a time window that spans the duration of each event as seen on individual stations, resulting in 110k event spectrograms (50% local earthquakes examples, 50% quarry blasts examples). Using 80% of the randomized example events ( 90k), a classifier is trained to distinguish between local earthquakes and quarry blasts. We explore variations of deep learning classifiers, incorporating elements of convolutional and recurrent neural networks. Using a single-layer Long Short Term Memory recurrent neural network, we achieve 92% accuracy on the classification task on the remaining 20K test examples. Leveraging the decisions from a group of stations that detected the same event by using the median of all classifications in the group increases the model accuracy to 96%. Additional data with equivalent processing from 500 more recently cataloged events (July, 2017), achieves the same accuracy as our test data on both single-station examples and multi-station medians, suggesting that the model can maintain accurate and stable classification rates on real-time automated events local to the University of Utah Seismograph Stations, with potentially minimal levels of re-training through time.

Cesarean Section Rate Analysis in University Hospital Tuzla - According to Robson's Classification.

PubMed

Fatusic, Jasenko; Hudic, Igor; Fatusic, Zlatan; Zildzic-Moralic, Aida; Zivkovic, Milorad

2016-06-01

For last decades, there has public concern about increasing Cesarean Section (CS) rates, and it is an issue of international public health concern. According to World Health Organisation (WHO) there is no justification to have more than 10-15% CS births. WHO proposes the Robson ten-group classification, as a global standard for assessing, monitoring and comparing cesarean section rates. The aim of this study was to investigate Cesarean section rate at University Hospital Tuzla, Bosnia and Herzegovina. Cross sectional study was conducted for one-year period, 2015. Statistical analysis and graph-table presentation was performed using Excel 2010 and Microsoft Office programs. Out of 3,672 births, a total of 936 births were performed by CS. Percentage of the total number of CS to the total birth number was 25,47%. According to Robson classification, the largest was group 5 with relative contribution of 29,80%. On second and third place were group 1 and 2 with relative contribution of 26,06% and 15,78% respectively. Groups 1, 2, 5 made account of realtive contribution of 71,65%. All other groups had entirely relative contribution of 28,35%. Robson 10-group classification provides easy way in collecting information about CS rate. It is important that efforts to reduce the overall CS rate should focus on reducing the primary CS. Data from our study confirm this attitude.

Hyperspectral Imaging Analysis for the Classification of Soil Types and the Determination of Soil Total Nitrogen

PubMed Central

Jia, Shengyao; Li, Hongyang; Wang, Yanjie; Tong, Renyuan; Li, Qing

2017-01-01

Soil is an important environment for crop growth. Quick and accurately access to soil nutrient content information is a prerequisite for scientific fertilization. In this work, hyperspectral imaging (HSI) technology was applied for the classification of soil types and the measurement of soil total nitrogen (TN) content. A total of 183 soil samples collected from Shangyu City (People’s Republic of China), were scanned by a near-infrared hyperspectral imaging system with a wavelength range of 874–1734 nm. The soil samples belonged to three major soil types typical of this area, including paddy soil, red soil and seashore saline soil. The successive projections algorithm (SPA) method was utilized to select effective wavelengths from the full spectrum. Pattern texture features (energy, contrast, homogeneity and entropy) were extracted from the gray-scale images at the effective wavelengths. The support vector machines (SVM) and partial least squares regression (PLSR) methods were used to establish classification and prediction models, respectively. The results showed that by using the combined data sets of effective wavelengths and texture features for modelling an optimal correct classification rate of 91.8%. could be achieved. The soil samples were first classified, then the local models were established for soil TN according to soil types, which achieved better prediction results than the general models. The overall results indicated that hyperspectral imaging technology could be used for soil type classification and soil TN determination, and data fusion combining spectral and image texture information showed advantages for the classification of soil types. PMID:28974005

Emerging Technologies, ISD, and Learning Environments: Critical Perspectives.

ERIC Educational Resources Information Center

Hannafin, Michael J.

1992-01-01

Reviews the evolution of instructional systems design and computer-based learning environments, focusing on the effects of technological advances. Classification of learning environments is discussed in the context of the dimensions of scope (macrolevel or microlevel), user activity (generative or mathemagenic), educational activity (goal-directed…

Electronic Warfare / Electronic Protection (EW/EP) S&T Priority Steering Council

DTIC Science & Technology

2011-11-08

Office Office of the Assistant Secretary of Defense (Research and Engineering) NDIA 8th Annual Disruptive Technologies Conference 8 November 2011...the NDIA Disruptive Technologies Conference, November 8, 2011 Washington, DC 14. ABSTRACT 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17

Light-duty automotive technology and fuel economy trends : 1975 through 2008

DOT National Transportation Integrated Search

2009-11-01

This report summarizes key trends in carbon dioxide (CO2) emissions, fuel economy and technology usage related to model year (MY) 1975 through 2009 light-duty vehicles sold in the United States. Light-duty vehicles are those vehicles that EPA classif...

Implementation of mutual information and bayes theorem for classification microarray data

NASA Astrophysics Data System (ADS)

Dwifebri Purbolaksono, Mahendra; Widiastuti, Kurnia C.; Syahrul Mubarok, Mohamad; Adiwijaya; Aminy Ma’ruf, Firda

2018-03-01

Microarray Technology is one of technology which able to read the structure of gen. The analysis is important for this technology. It is for deciding which attribute is more important than the others. Microarray technology is able to get cancer information to diagnose a person’s gen. Preparation of microarray data is a huge problem and takes a long time. That is because microarray data contains high number of insignificant and irrelevant attributes. So, it needs a method to reduce the dimension of microarray data without eliminating important information in every attribute. This research uses Mutual Information to reduce dimension. System is built with Machine Learning approach specifically Bayes Theorem. This theorem uses a statistical and probability approach. By combining both methods, it will be powerful for Microarray Data Classification. The experiment results show that system is good to classify Microarray data with highest F1-score using Bayesian Network by 91.06%, and Naïve Bayes by 88.85%.

Putting the University Online: Information, Technology and Organizational Change.

ERIC Educational Resources Information Center

Cornford, James; Pollock, Neil

This book explores what new technology and the vision of a virtual university mean for an institution and its staff, students and other stakeholders, and the consequences for the role and identity of the university of "putting the university online." Chapters are: (1) "The Online Imperative"; (2) "Researching Changing Universities"; (3) "Working…

Diversity in the University Sector: Can An Alliance Protect It?

ERIC Educational Resources Information Center

Brook, David

2000-01-01

Argues that the international definition of a university allows for significant diversity in educational delivery and offers a New Zealand example in the transition of the Auckland Institute of Technology into the Auckland University of Technology. The university has formed an alliance with the University of Auckland to work toward some common…

2006 Campus Technology Innovators

ERIC Educational Resources Information Center

Campus Technology, 2006

2006-01-01

This article features the winners of this year's "Campus Technology Innovator" competition. The winners are: (1) Drexel University, Pennsylvania (outsourcing); (2) Darton College, Georgia (3D); (3) Minnesota State Colleges and Universities (ePortfolios); (4) University of Michigan (the Web); (5) University of Tennessee College of…

University Roles in Technological Innovation in California. Research & Occasional Paper Series: CSHE.6.07

ERIC Educational Resources Information Center

King, C. Judson

2007-01-01

California has achieved considerable economic success through technological innovation and the formation of businesses based upon those technologies. This paper addresses some of the roles of universities in that success story. It starts with some measures of the contributions of innovation and a robust university structure to the California…

Iterative and Event-Based Frameworks for University and School District Technology Professional Development Partnerships

ERIC Educational Resources Information Center

Winslow, Joseph; Dickerson, Jeremy; Weaver, Carmen; Josey, Fair

2016-01-01

Forming technology partnerships between universities and public schools in an era of competition and economic difficulty is a challenge. However, when these partnerships are formed and sustained, the benefits for both are extremely valuable. For a university instructional technology graduate program and school partnership to be successful, the…

Teacher Beliefs Regarding Learning, Pedagogy, and the Use of Technology in Higher Education

ERIC Educational Resources Information Center

Jääskelä, Päivikki; Häkkinen, Päivi; Rasku-Puttonen, Helena

2017-01-01

This study examines university teachers' beliefs about the role of technology in achieving the pedagogical aims of learning within teaching development initiatives at a Finnish university. The initiatives targeted technology adoption in teaching and learning and were enhanced within teacher groups, with support from a university-level network…

Soft Systems Methodology for Personalized Learning Environment

ERIC Educational Resources Information Center

Nair, Uday

2015-01-01

There are two sides to a coin when it comes to implementing technology at universities; on one side, there is the university using technologies via the virtual learning environment that seems to be outdated with the digital needs of the students, and on the other side, while implementing technology at the university learning environment the focus…

New Media in Higher Education. Papers on Information Technology No. 241.

ERIC Educational Resources Information Center

Bates, A. W.

The Open University from its inception in 1969 has been a technologically based university. It uses technology to deliver high quality, specially designed teaching materials to large numbers of adult students throughout Britain, and increasingly abroad, who study at home. The Open University's teaching system has remained basically unchanged since…

Today's University Students and Their Need to Connect

ERIC Educational Resources Information Center

Russo, Theresa J.; Fallon, Moira A.; Zhang, Jie; Acevedo, Veronica C.

2014-01-01

Higher education is rapidly changing and university instructors are presented with new types of students for whom technology is a significant influence. They perceive technology as a way of life and express a need to feel connected at all times. With increasingly diverse university classroom, technology integration is both a challenge and an…

Universal Design for Learning: Technology and Pedagogy

ERIC Educational Resources Information Center

King-Sears, Margaret

2009-01-01

When educators hear the term "universal design for learning" (UDL), most associate it with technology. However, UDL is not solely about the use of technology in education. UDL is also about the pedagogy, or instructional practices, used for students with and without disabilities. The concept of universal design, which originated in the field of…

University Students and Ethics of Computer Technology Usage: Human Resource Development

ERIC Educational Resources Information Center

Iyadat, Waleed; Iyadat, Yousef; Ashour, Rateb; Khasawneh, Samer

2012-01-01

The primary purpose of this study was to determine the level of students' awareness about computer technology ethics at the Hashemite University in Jordan. A total of 180 university students participated in the study by completing the questionnaire designed by the researchers, named the Computer Technology Ethics Questionnaire (CTEQ). Results…

The University in Periods of Technological Change: A Historically Grounded Perspective

ERIC Educational Resources Information Center

Amirault, Ray J.; Visser, Yusra L.

2009-01-01

The University has a remarkably enduring history that is due in no small part to its ability to adapt itself whenever intellectual, political, or technological change has occurred. Today's technology revolution, however, presents the University with one of the greatest adaptation challenges it has ever faced in its lengthy history, and the…

Cost (and Quality and Value) of Information Technology Support in Large Research Universities.

ERIC Educational Resources Information Center

Peebles, Christopher S.; Antolovic, Laurie

1999-01-01

Shows how financial and quality measures associated with the Balanced Scorecard (developed by Kaplan and Norton to measure organizational performance) can be applied to information technology (IT) user education and support in large research universities. Focuses on University Information Technology Services that has measured the quality of IT…

Punctuated Equilibrium--Digital Technology in Schools' Teaching of the Mother Tongue (Swedish)

ERIC Educational Resources Information Center

Erixon, Per-Olof

2016-01-01

This article deals with how teachers and pupils in seventh to ninth grade in Sweden look upon and relate to the incorporation of new digital technology in mother tongue education (Swedish). The result shows that both the classification and framing of the subject is being challenged by new technology, but that the awareness of the impact seems to…

Operational Leadership and Advancing Technology

DTIC Science & Technology

2009-05-04

FINAL 3. DATES COVERED (From - To) 9 Feb – 4 May 2009 4. TITLE AND SUBTITLE Operational Leadership and Advancing Technology 5a...operational leader must use his authority and leadership skills to get by in from all concerned to maximize technological advances. 15. SUBJECT TERMS...WWI armor, British armor doctrine, German Armor doctrine, operational leadership 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT

Emerging Technologies Program Integration Report. Volume 2. Background, Delphi and Workshop Data. Appendices

DTIC Science & Technology

1987-05-04

FTIILE COP’ AD-A196 840 EMERGING TECHNOLOGIES PROGRAM INTEGRATION REPORT VOLUME II BACKGROUND, DELPHI AND WORKSHOP DATA, APPENDICES . -- PREPARED...Security Classification) Emerging Technologies Program Integration Report Volume II: Background, Delphi and Workshop Data; Appendices (U) 12 PERSONAL...volumes of this integration report assess and synthesize information gathered through a Delphi survey, defense needs prioritization workshops, and

Factors Related to the Adoption of IT Emerging Technologies by Research and Non-Research Based Higher Education Institutions

ERIC Educational Resources Information Center

Then, Keri Ann; Amaria, Pesi

2013-01-01

This study examined the adoption of information technology (IT) emerging technology by higher education institutions with a focus on non-research and research based institutions categorized by Carnegie Mellon classifications that are members of EDUCAUSE, a higher education non-profit organization, whose mission is the use of IT in higher…

Humanities Perspectives on Technology Program: Science, Technology & Society Program. Lehigh University, 1977-80.

ERIC Educational Resources Information Center

Cutcliffe, Stephen H., Ed.

Newsletter issues pertaining to Lehigh University's Humanities Perspectives on Technology (HPT) Program, which was renamed the Science, Technology and Society Program, are presented. Additionally, a newsletter article excerpt entitled "Elements of Technology in a Liberal Education" is included. Two 1977 issues of "HRP News,"…

Problems with health information technology and their effects on care delivery and patient outcomes: a systematic review.

PubMed

Kim, Mi Ok; Coiera, Enrico; Magrabi, Farah

2017-03-01

To systematically review studies reporting problems with information technology (IT) in health care and their effects on care delivery and patient outcomes. We searched bibliographic databases including Scopus, PubMed, and Science Citation Index Expanded from January 2004 to December 2015 for studies reporting problems with IT and their effects. A framework called the information value chain, which connects technology use to final outcome, was used to assess how IT problems affect user interaction, information receipt, decision-making, care processes, and patient outcomes. The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Of the 34 studies identified, the majority ( n  = 14, 41%) were analyses of incidents reported from 6 countries. There were 7 descriptive studies, 9 ethnographic studies, and 4 case reports. The types of IT problems were similar to those described in earlier classifications of safety problems associated with health IT. The frequency, scale, and severity of IT problems were not adequately captured within these studies. Use errors and poor user interfaces interfered with the receipt of information and led to errors of commission when making decisions. Clinical errors involving medications were well characterized. Issues with system functionality, including poor user interfaces and fragmented displays, delayed care delivery. Issues with system access, system configuration, and software updates also delayed care. In 18 studies (53%), IT problems were linked to patient harm and death. Near-miss events were reported in 10 studies (29%). The research evidence describing problems with health IT remains largely qualitative, and many opportunities remain to systematically study and quantify risks and benefits with regard to patient safety. The information value chain, when used in conjunction with existing classifications for health IT safety problems, can enhance measurement and should facilitate identification of the most significant risks to patient safety. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

A classification and evaluation of data movement technologies for the delivery of highly voluminous scientific data products

NASA Technical Reports Server (NTRS)

Mattmann, Chris A.; Kelly, Sean; Crichton, Daniel J.; Hughes, J. Steven; Hardman, Sean; Ramirez, Paul; Joyner, Ron

2006-01-01

In this paper, we present a preliminary study of several different electronic data movement technologies. We detail our approach to classifying the technologies included in our study and present the preliminary results of some initial performance benchmarking. Our studies suggest that highly parallel TCP/IP streaming technologies, such as GridFTP and bbFTP, outperform commercial and open-source UDP-bursting technologies in several of the key data movement dimensions that we studied.

[Sequencing technology in gene diagnosis and its application].

PubMed

Yibin, Guo

2014-11-01

The study of gene mutation is one of the hot topics in the field of life science nowadays, and the related detection methods and diagnostic technology have been developed rapidly. Sequencing technology plays an indispensable role in the definite diagnosis and classification of genetic diseases. In this review, we summarize the research progress in sequencing technology, evaluate the advantages and disadvantages of 1(st) ~3(rd) generation of sequencing technology, and describe its application in gene diagnosis. Also we made forecasts and prospects on its development trend.

Undergraduate Research at the Research Universities.

ERIC Educational Resources Information Center

Merkel, Carolyn Ash

2003-01-01

Explores four higher education institutions (Rutgers University, the University of Washington, the Massachusetts Institute of Technology, and the California Institute of Technology) and their histories of developing a culture of undergraduate research. (EV)

NASA Centers and Universities Collaborate Through Smallsat Technology Partnerships

NASA Technical Reports Server (NTRS)

Cockrell, James

2018-01-01

The Small Spacecraft Technology (SST) Program within the NASA Space Technology Mission Directorate is chartered develop and demonstrate the capabilities that enable small spacecraft to achieve science and exploration missions in "unique" and "more affordable" ways. Specifically, the SST program seeks to enable new mission architectures through the use of small spacecraft, to expand the reach of small spacecraft to new destinations, and to make possible the augmentation existing assets and future missions with supporting small spacecraft. The SST program sponsors smallsat technology development partnerships between universities and NASA Centers in order to engage the unique talents and fresh perspectives of the university community and to share NASA experience and expertise in relevant university projects to develop new technologies and capabilities for small spacecraft. These partnerships also engage NASA personnel in the rapid, agile and cost-conscious small spacecraft approaches that have evolved in the university community, as well as increase support to university efforts and foster a new generation of innovators for NASA and the nation.

Measuring Equilibrium Binding Affinity of Biological Macromolecules in Solution by Thermophoresis

DTIC Science & Technology

2015-05-18

SECURITY CLASSIFICATION OF: The primary research focus of the San Diego State University (SDSU) Structural Biochemistry Laboratory led by Dr. Tom...U.S. Army Research Office P.O. Box 12211 Research Triangle Park, NC 27709-2211 Biochemistry , Biophysics, Fluorescence, IkappaB Kinase...University (SDSU) Structural Biochemistry Laboratory led by Dr. Tom Huxford is to understand how the assembly of macromolecular complexes gives rise

Slide Library of the History of Art Department, Cornell University: Classification and Retrieval System.

ERIC Educational Resources Information Center

Nemethy, Judith

A study was conducted to develop a retrieval system for slides in the History of Art Collection at Cornell University to make it more consistent and easier for patrons from other academic disciplines to use than the system currently in use. To determine whether slide library systems at other institutions could be adapted to the History of Art…

Integration of Advanced Statistical Analysis Tools and Geophysical Modeling

DTIC Science & Technology

2010-12-01

Carin Duke University Douglas Oldenburg University of British Columbia Stephen Billings, Leonard Pasion Laurens Beran Sky Research...means and covariances estimated for each class [5]. For this study, dipole polarizabilities were fit with a Pasion -Oldenburg parameterization of 8 −1...model for unexploded ordnance classification with EMI data,” IEEE Geosci. Remote Sensing Letters, vol. 4, pp. 629–633, 2007. [4] L. R. Pasion

A Comparative Study of Charges Made Through an Automated Circulation System in the Colorado State University Libraries.

ERIC Educational Resources Information Center

Burns, Robert W.

To determine use of portions of the collections at Colorado State University libraries and to identify heavily used sections, the collections were divided into 204 blocks according to Library of Congress classification letters. The number of charges made in each block was counted during a 1975 quarter for patrons, charges made to the reserve desk,…

The DTIC Review. Volume 5, Number 3. Cybernetics: Enhancing Human Performance

DTIC Science & Technology

2001-03-01

Human Factors Engineering 16. SECURITY CLASSIFICATION OF: 17. LIMITATION 18. NUMBER 19a. NAME OF RESPONSIBLE PERSON OF ABSTRACT OF PAGES Phyllis...2 AD Number: A382305 Corporate Author: Arizona University - Tucson Department of Electrical and Computer Engineering Tucson, AZ...Visualization Aids AD-A382305 Aug 2000 Arizona University - Tucson Department of Electrical and Computer Engineering Tucson, AZ 2 THIS PAGE INTENTIONALLY

Diesel Technology: Introduction. Teacher Edition [and] Student Edition. Second Edition.

ERIC Educational Resources Information Center

Joerschke, John D.; Eichhorn, Lane

This complete teacher edition of a diesel technology course consists of introductory pages, teacher pages, and the student edition. The introductory pages provide these tools: training and competency profile; National Automotive Technicians Education Foundation Crosswalk; instructional/task analysis; basic skills icons and classifications; basic…

Introduction to Surgical Technology. Third Edition. Teacher Edition [and] Student Edition.

ERIC Educational Resources Information Center

Bushey, Vicki; Hildebrand, Bob; Hildebrand, Dinah; Johnson, Dave; Sikes, John; Tahah, Ann; Walker, Susan; Zielsdorf, Lani

These teacher and student editions provide instructional materials for an introduction to surgical technology course. Introductory materials in the teacher edition include information on use, instructional/task analysis, academic and workplace skill classifications and definitions, related academic and workplace skill list, and crosswalk to…

Geometrical Similarity Transformations in Dynamic Geometry Environment Geogebra

ERIC Educational Resources Information Center

Andraphanova, Natalia V.

2015-01-01

The subject of the article is usage of modern computer technologies through the example of interactive geometry environment Geogebra as an innovative technology of representing and studying of geometrical material which involves such didactical opportunities as vizualisation, simulation and dynamics. There is shown a classification of geometric…

Portable Multispectral Colorimeter for Metallic Ion Detection and Classification

PubMed Central

Jaimes, Ruth F. V. V.; Borysow, Walter; Gomes, Osmar F.; Salcedo, Walter J.

2017-01-01

This work deals with a portable device system applied to detect and classify different metallic ions as proposed and developed, aiming its application for hydrological monitoring systems such as rivers, lakes and groundwater. Considering the system features, a portable colorimetric system was developed by using a multispectral optoelectronic sensor. All the technology of quantification and classification of metallic ions using optoelectronic multispectral sensors was fully integrated in the embedded hardware FPGA ( Field Programmable Gate Array) technology and software based on virtual instrumentation (NI LabView®). The system draws on an indicative colorimeter by using the chromogen reagent of 1-(2-pyridylazo)-2-naphthol (PAN). The results obtained with the signal processing and pattern analysis using the method of the linear discriminant analysis, allows excellent results during detection and classification of Pb(II), Cd(II), Zn(II), Cu(II), Fe(III) and Ni(II) ions, with almost the same level of performance as for those obtained from the Ultravioled and visible (UV-VIS) spectrophotometers of high spectral resolution. PMID:28788082

"Interactive Classification Technology"

NASA Technical Reports Server (NTRS)

deBessonet, Cary

1999-01-01

The investigators are upgrading a knowledge representation language called SL (Symbolic Language) and an automated reasoning system called SMS (Symbolic Manipulation System) to enable the technologies to be used in automated reasoning and interactive classification systems. The overall goals of the project are: a) the enhancement of the representation language SL to accommodate multiple perspectives and a wider range of meaning; b) the development of a sufficient set of operators to enable the interpreter of SL to handle representations of basic cognitive acts; and c) the development of a default inference scheme to operate over SL notation as it is encoded. As to particular goals the first-year work plan focused on inferencing and.representation issues, including: 1) the development of higher level cognitive/ classification functions and conceptual models for use in inferencing and decision making; 2) the specification of a more detailed scheme of defaults and the enrichment of SL notation to accommodate the scheme; and 3) the adoption of additional perspectives for inferencing.

Portable Multispectral Colorimeter for Metallic Ion Detection and Classification.

PubMed

Braga, Mauro S; Jaimes, Ruth F V V; Borysow, Walter; Gomes, Osmar F; Salcedo, Walter J

2017-07-28

This work deals with a portable device system applied to detect and classify different metallic ions as proposed and developed, aiming its application for hydrological monitoring systems such as rivers, lakes and groundwater. Considering the system features, a portable colorimetric system was developed by using a multispectral optoelectronic sensor. All the technology of quantification and classification of metallic ions using optoelectronic multispectral sensors was fully integrated in the embedded hardware FPGA ( Field Programmable Gate Array) technology and software based on virtual instrumentation (NI LabView ® ). The system draws on an indicative colorimeter by using the chromogen reagent of 1-(2-pyridylazo)-2-naphthol (PAN). The results obtained with the signal processing and pattern analysis using the method of the linear discriminant analysis, allows excellent results during detection and classification of Pb(II), Cd(II), Zn(II), Cu(II), Fe(III) and Ni(II) ions, with almost the same level of performance as for those obtained from the Ultravioled and visible (UV-VIS) spectrophotometers of high spectral resolution.

Occupant detection using support vector machines with a polynomial kernel function

NASA Astrophysics Data System (ADS)

Destefanis, Eduardo A.; Kienzle, Eberhard; Canali, Luis R.

2000-10-01

The use of air bags in the presence of bad passenger and baby seat positions in car seats can injure or kill these individuals in case of an accident when this device is inflated. A proposed solution is the use of range sensors to detect passenger and baby seat risky positions. Such sensors allow the Airbag inflation to be controlled. This work is concerned with the application of different classification schemes to a real world problem and the optimization of a sensor as a function of the classification performance. The sensor is constructed using a new technology which is called Photo-Mixer-Device (PMD). A systematic analysis of the occupant detection problem was made using real and virtual environments. The challenge is to find the best sensor geometry and to adapt a classification scheme under the current technological constraints. Passenger head position detection is also a desirable issue. A couple of classifiers have been used into a simple configuration to reach this goal. Experiences and results are described.

Curriculum Assessment Using Artificial Neural Network and Support Vector Machine Modeling Approaches: A Case Study. IR Applications. Volume 29

ERIC Educational Resources Information Center

Chen, Chau-Kuang

2010-01-01

Artificial Neural Network (ANN) and Support Vector Machine (SVM) approaches have been on the cutting edge of science and technology for pattern recognition and data classification. In the ANN model, classification accuracy can be achieved by using the feed-forward of inputs, back-propagation of errors, and the adjustment of connection weights. In…

A Classification of Designated Logic Systems

DTIC Science & Technology

1988-02-01

Introduction to Logic. New York: Macmillan Publishing, 1972. Grimaldi , Ralph P . Discrete and Combinatorial Mathematics. Reading: Addison-Wesley...sound basis for understanding non-classical logic systems. I would like to thank the Air Force Institute of Technology for funding this research. vi p ...6 p ILLUSTRATIONS Figure Page 1. Two Classifications of Designated Logic Systems 13 2. Two Partitions of Two-valued Logic Systems 14 3. Two

Development of Automated Image Analysis Software for Suspended Marine Particle Classification

DTIC Science & Technology

2003-09-30

Development of Automated Image Analysis Software for Suspended Marine Particle Classification Scott Samson Center for Ocean Technology...REPORT TYPE 3. DATES COVERED 00-00-2003 to 00-00-2003 4. TITLE AND SUBTITLE Development of Automated Image Analysis Software for Suspended...objective is to develop automated image analysis software to reduce the effort and time required for manual identification of plankton images. Automated

ESTCP Pilot Program - Classification Approaches in Munitions Response

DTIC Science & Technology

2008-11-17

Electromagnetic induction sensors detect ferrous and 57 nonferrous metallic objects and can be effective in geology that challenges magnetometers. EM...harmless metallic objects or geology. Application of technology to separate the munitions from other objects, known as classification, offers the potential...detectable signals are excavated. Many of these detections do not correspond to munitions, but rather to other harmless metallic objects or geology, termed

Socio-Pedagogical Priorities of the Educational Process at the University: The Didactic Aspect of Information Technology

ERIC Educational Resources Information Center

Rassolov, Ilya M.; Sidyacheva, Natalya V.; Zotova, Larisa E.; Salitova, Feride Sch.; Konyushenko, Svetlana M.; Gzhemskaya, Nuriya Kh.

2016-01-01

The relevance of the study is conditioned by intensive introduction of information technologies in the educational process of the University. Analysis of practical activities of University groups shows that in the absence of science-based approaches to the implementation of information technologies in the educational process, there are increasing…

Technology-Enabled and Universally Designed Assessment: Considering Access in Measuring the Achievement of Students with Disabilities--A Foundation for Research

ERIC Educational Resources Information Center

Almond, Patricia; Winter, Phoebe; Cameto, Renee; Russell, Michael; Sato, Edynn; Clarke-Midura, Jody; Torres, Chloe; Haertel, Geneva; Dolan, Robert; Beddow, Peter; Lazarus, Sheryl

2010-01-01

This paper represents one outcome from the "Invitational Research Symposium on Technology-Enabled and Universally Designed Assessments," which examined technology-enabled assessments (TEA) and universal design (UD) as they relate to students with disabilities (SWD). It was developed to stimulate research into TEAs designed to make tests…

A New Technology Transfer Paradigm: How State Universities Can Collaborate with Industry in the USA

ERIC Educational Resources Information Center

Renault, Catherine S.; Cope, Jeff; Dix, Molly; Hersey, Karen

2008-01-01

In some US states, policy makers, pressed by local and regional industrial interests, are debating how to "reform" technology transfer at public universities. "Reform" in this context is generally understood to mean redirecting university technology transfer activities to increase the benefits of state-funded research to local industries.…

Physics Learning Achievement Study: Projectile, Using Mathematica Program of Faculty of Science and Technology Phetchabun Rajabhat University Students

ERIC Educational Resources Information Center

Hutem, Artit; Kerdmee, Supoj

2013-01-01

The propose of this study is to study Physics Learning Achievement, projectile motion, using the Mathematica program of Faculty of Science and Technology Phetchabun Rajabhat University students, comparing with Faculty of Science and Technology Phetchabun Rajabhat University students who study the projectile motion experiment set. The samples are…

The Evolution of Online Education at a Small Northern Ontario University: Theory and Practice

ERIC Educational Resources Information Center

Carter, Lorraine; Graham, Robert Douglas

2012-01-01

One of the major influences on university education in Ontario is the growing use of Internet technologies. These new technologies have led faculty and learning experts at universities to talk about online and technology-enhanced learning with a fervour not often found on most campuses. Among other things, these discussions have challenged…

A study on facial expressions recognition

NASA Astrophysics Data System (ADS)

Xu, Jingjing

2017-09-01

In terms of communication, postures and facial expressions of such feelings like happiness, anger and sadness play important roles in conveying information. With the development of the technology, recently a number of algorithms dealing with face alignment, face landmark detection, classification, facial landmark localization and pose estimation have been put forward. However, there are a lot of challenges and problems need to be fixed. In this paper, a few technologies have been concluded and analyzed, and they all relate to handling facial expressions recognition and poses like pose-indexed based multi-view method for face alignment, robust facial landmark detection under significant head pose and occlusion, partitioning the input domain for classification, robust statistics face formalization.

Feature detection in satellite images using neural network technology

NASA Technical Reports Server (NTRS)

Augusteijn, Marijke F.; Dimalanta, Arturo S.

1992-01-01

A feasibility study of automated classification of satellite images is described. Satellite images were characterized by the textures they contain. In particular, the detection of cloud textures was investigated. The method of second-order gray level statistics, using co-occurrence matrices, was applied to extract feature vectors from image segments. Neural network technology was employed to classify these feature vectors. The cascade-correlation architecture was successfully used as a classifier. The use of a Kohonen network was also investigated but this architecture could not reliably classify the feature vectors due to the complicated structure of the classification problem. The best results were obtained when data from different spectral bands were fused.

Using Pedagogical Dialogue as a Vehicle to Encourage Faculty Technology Use

ERIC Educational Resources Information Center

Friel, Terri; Britten, Jody; Compton, Beverly; Peak, Amy; Schoch, Kurt; VanTyle, W. Kent

2009-01-01

The pace of technology adoption by university faculty is often slow. Slow faculty technology adoption may result from fear of failure, disinterest, or aversion to change. However, in 2007 we experienced a different faculty response while training faculty for technology-enhanced teaching at Butler University. During a technology upgrade of…

Individual and Technological Factors Affecting Undergraduates' Use of Mobile Technology in University of Ilorin, Nigeria

ERIC Educational Resources Information Center

Olufunmilola Ogulande, Oyeronke; Oladimeji Olafare, Festus; Ayuba Sakaba, Dabo

2016-01-01

The proliferation and utilization of handheld mobile technology among undergraduates for mobile learning cannot be underestimated. This study was geared towards investigating individual and technological factors affecting the perceived usefulness of mobile technology by undergraduates in university of Ilorin, Nigeria. The study was a descriptive…

Occupational Sitting and Physical Activity Among University Employees.

PubMed

Fountaine, Charles J; Piacentini, Meredith; Liguori, Gary A

The prevalence of overweight and obese in the U.S. has been thoroughly documented. With the advent of inactivity physiology research and the subsequent interest in sedentary behavior, the work environment has come under closer scrutiny as a potential opportunity to reverse inactivity. Therefore, the purpose of this study was to determine the sitting and physical activity (PA) habits among different classifications of university employees. University employees (n=625) completed an online survey based on the Occupational Sitting and Physical Activity Questionnaire (OSPAQ). Participants were instructed to describe time spent sitting, standing, walking, and in heavy physical labor during the last seven days, along with the number of breaks from sitting taken per hour. To establish habitual patterns of PA outside of work, employees recalled their participation in structured PA in the past seven days. Prior to data analysis, employees were categorized as Administration, Faculty, Staff, or Facilities Management. Statistically significant differences were found among employee classifications for min sit/d, p<.001; min stand/d, p<.001; min walk/d, p<.001; and min heavy labor/d, p<.001. No significant differences were found for breaks/h from sitting, p=.259 or participation in structured PA, p=. 33. With the exception of facilities management workers, university employees spent 75% of their workday seated. In conjunction with low levels of leisure time PA, university employees appear to be prime candidates for workplace interventions to reduce physical inactivity.

Multi-material classification of dry recyclables from municipal solid waste based on thermal imaging.

PubMed

Gundupalli, Sathish Paulraj; Hait, Subrata; Thakur, Atul

2017-12-01

There has been a significant rise in municipal solid waste (MSW) generation in the last few decades due to rapid urbanization and industrialization. Due to the lack of source segregation practice, a need for automated segregation of recyclables from MSW exists in the developing countries. This paper reports a thermal imaging based system for classifying useful recyclables from simulated MSW sample. Experimental results have demonstrated the possibility to use thermal imaging technique for classification and a robotic system for sorting of recyclables in a single process step. The reported classification system yields an accuracy in the range of 85-96% and is comparable with the existing single-material recyclable classification techniques. We believe that the reported thermal imaging based system can emerge as a viable and inexpensive large-scale classification-cum-sorting technology in recycling plants for processing MSW in developing countries. Copyright © 2017 Elsevier Ltd. All rights reserved.

Fusion and Gaussian mixture based classifiers for SONAR data

NASA Astrophysics Data System (ADS)

Kotari, Vikas; Chang, KC

2011-06-01

Underwater mines are inexpensive and highly effective weapons. They are difficult to detect and classify. Hence detection and classification of underwater mines is essential for the safety of naval vessels. This necessitates a formulation of highly efficient classifiers and detection techniques. Current techniques primarily focus on signals from one source. Data fusion is known to increase the accuracy of detection and classification. In this paper, we formulated a fusion-based classifier and a Gaussian mixture model (GMM) based classifier for classification of underwater mines. The emphasis has been on sound navigation and ranging (SONAR) signals due to their extensive use in current naval operations. The classifiers have been tested on real SONAR data obtained from University of California Irvine (UCI) repository. The performance of both GMM based classifier and fusion based classifier clearly demonstrate their superior classification accuracy over conventional single source cases and validate our approach.

A Proposal to Develop Interactive Classification Technology

NASA Technical Reports Server (NTRS)

deBessonet, Cary

1998-01-01

Research for the first year was oriented towards: 1) the design of an interactive classification tool (ICT); and 2) the development of an appropriate theory of inference for use in ICT technology. The general objective was to develop a theory of classification that could accommodate a diverse array of objects, including events and their constituent objects. Throughout this report, the term "object" is to be interpreted in a broad sense to cover any kind of object, including living beings, non-living physical things, events, even ideas and concepts. The idea was to produce a theory that could serve as the uniting fabric of a base technology capable of being implemented in a variety of automated systems. The decision was made to employ two technologies under development by the principal investigator, namely, SMS (Symbolic Manipulation System) and SL (Symbolic Language) [see debessonet, 1991, for detailed descriptions of SMS and SL]. The plan was to enhance and modify these technologies for use in an ICT environment. As a means of giving focus and direction to the proposed research, the investigators decided to design an interactive, classificatory tool for use in building accessible knowledge bases for selected domains. Accordingly, the proposed research was divisible into tasks that included: 1) the design of technology for classifying domain objects and for building knowledge bases from the results automatically; 2) the development of a scheme of inference capable of drawing upon previously processed classificatory schemes and knowledge bases; and 3) the design of a query/ search module for accessing the knowledge bases built by the inclusive system. The interactive tool for classifying domain objects was to be designed initially for textual corpora with a view to having the technology eventually be used in robots to build sentential knowledge bases that would be supported by inference engines specially designed for the natural or man-made environments in which the robots would be called upon to operate.

Classifying patents based on their semantic content.

PubMed

Bergeaud, Antonin; Potiron, Yoann; Raimbault, Juste

2017-01-01

In this paper, we extend some usual techniques of classification resulting from a large-scale data-mining and network approach. This new technology, which in particular is designed to be suitable to big data, is used to construct an open consolidated database from raw data on 4 million patents taken from the US patent office from 1976 onward. To build the pattern network, not only do we look at each patent title, but we also examine their full abstract and extract the relevant keywords accordingly. We refer to this classification as semantic approach in contrast with the more common technological approach which consists in taking the topology when considering US Patent office technological classes. Moreover, we document that both approaches have highly different topological measures and strong statistical evidence that they feature a different model. This suggests that our method is a useful tool to extract endogenous information.

Classifying patents based on their semantic content

PubMed Central

2017-01-01

In this paper, we extend some usual techniques of classification resulting from a large-scale data-mining and network approach. This new technology, which in particular is designed to be suitable to big data, is used to construct an open consolidated database from raw data on 4 million patents taken from the US patent office from 1976 onward. To build the pattern network, not only do we look at each patent title, but we also examine their full abstract and extract the relevant keywords accordingly. We refer to this classification as semantic approach in contrast with the more common technological approach which consists in taking the topology when considering US Patent office technological classes. Moreover, we document that both approaches have highly different topological measures and strong statistical evidence that they feature a different model. This suggests that our method is a useful tool to extract endogenous information. PMID:28445550

Emerging Technologies: An Overview of Practices in Distance Education

ERIC Educational Resources Information Center

Hussain, Irshad

2007-01-01

In contemporary society, information technologies and communication technologies (ICTs) are playing crucial role in dissemination of knowledge and information the world over. Universities/ higher education institutions, particularly distance education universities in developed countries are making best use of these technologies for effective and…

Digital Technologies as Education Innovation at Universities

ERIC Educational Resources Information Center

Kryukov, Vladimir; Gorin, Alexey

2017-01-01

This paper analyses the use of digital technology-based education innovations in higher education. It demonstrated that extensive implementation of digital technologies in universities is the main factor conditioning the acceleration of innovative changes in educational processes, while digital technologies themselves become one of the key…

DAO Spectroscopic classification of SN 2017iuu = ATLAS17nnf

NASA Astrophysics Data System (ADS)

Balam, D. D.; Observatory, Dominion Astrophysical; Canada, National Research Council of; Thanjavur, K.; Hsiao, E.; Graham, M. L.

2017-12-01

D. D. Balam, Dominion Astrophysical Observatory, National Research Council of Canada, K. Thanjavur (University of Victoria), E. Hsiao, Florida State University and M. L. Graham (University of Washington) report that a spectrogram (range 390-710 nm, resolution 0.3 nm) of 2017iuu = ATLAS17nnf (J. Tonry, B. Stalder, L. Denneau, A. Heinze, H. Weiland (IfA, University of Hawaii), A. Rest (STScI), K.W. Smith, S. J. Smartt, M. Fulton, O. McBrien (Queen's University Belfast), obtained on Dec. 11.33 UT with the 1.82-m Plaskett Telescope of the National Research Council of Canada, shows it to be a normal type Ia supernova near maximum light.

[Research progress in molecular classification of gastric cancer].

PubMed

Zhou, Menglong; Li, Guichao; Zhang, Zhen

2016-09-25

Gastric cancer(GC) is a highly heterogeneous malignancy. The present widely used histopathological classifications have gradually failed to meet the needs of individualized diagnosis and treatment. Development of technologies such as microarray and next-generation sequencing (NGS) has allowed GC to be studied at the molecular level. Mechanisms about tumorigenesis and progression of GC can be elucidated in the aspects of gene mutations, chromosomal alterations, transcriptional and epigenetic changes, on the basis of which GC can be divided into several subtypes. The classifications of Tan's, Lei's, TCGA and ACRG are relatively comprehensive. Especially the TCGA and ACRG classifications have large sample size and abundant molecular profiling data, thus, the genomic characteristics of GC can be depicted more accurately. However, significant differences between both classifications still exist so that they cannot be substituted for each other. So far there is no widely accepted molecular classification of GC. Compared with TCGA classification, ACRG system may have more clinical significance in Chinese GC patients since the samples are mostly from Asian population and show better association with prognosis. The molecular classification of GC may provide the theoretical and experimental basis for early diagnosis, therapeutic efficacy prediction and treatment stratification while their clinical application is still limited. Future work should involve the application of molecular classifications in the clinical settings for improving the medical management of GC.