Science.gov

Sample records for intelligent collection environment

  1. Intelligent Collection Environment for an Interpretation System

    SciTech Connect

    Maurer, W J

    2001-07-19

    An Intelligent Collection Environment for a data interpretation system is described. The environment accepts two inputs: A data model and a number between 0.0 and 1.0. The data model is as simple as a single word or as complex as a multi-level/multidimensional model. The number between 0.0 and 1.0 is a control knob to indicate the user's desire to allow loose matching of the data (things are ambiguous and unknown) versus strict matching of the data (things are precise and known). The environment produces a set of possible interpretations, a set of requirements to further strengthen or to differentiate a particular subset of the possible interpretation from the others, a set of inconsistencies, and a logic map that graphically shows the lines of reasoning used to derive the above output. The environment is comprised of a knowledge editor, model explorer, expertise server, and the World Wide Web. The Knowledge Editor is used by a subject matter expert to define Linguistic Types, Term Sets, detailed explanations, and dynamically created URI's, and to create rule bases using a straight forward hyper matrix representation. The Model Explorer allows rapid construction and browsing of multi-level models. A multi-level model is a model whose elements may also be models themselves. The Expertise Server is an inference engine used to interpret the data submitted. It incorporates a semantic network knowledge representation, an assumption based truth maintenance system, and a fuzzy logic calculus. It can be extended by employing any classifier (e.g. statistical/neural networks) of complex data types. The World Wide Web is an unstructured data space accessed by the URI's supplied as part of the output of the environment. By recognizing the input data model as a query, the environment serves as a deductive search engine. Applications include (but are not limited to) interpretation of geophysical phenomena, a navigation aid for very large web sites, monitoring of computer or

  2. Synthetic collective intelligence.

    PubMed

    Solé, Ricard; Amor, Daniel R; Duran-Nebreda, Salva; Conde-Pueyo, Núria; Carbonell-Ballestero, Max; Montañez, Raúl

    2016-10-01

    Intelligent systems have emerged in our biosphere in different contexts and achieving different levels of complexity. The requirement of communication in a social context has been in all cases a determinant. The human brain, probably co-evolving with language, is an exceedingly successful example. Similarly, social insects complex collective decisions emerge from information exchanges between many agents. The difference is that such processing is obtained out of a limited individual cognitive power. Computational models and embodied versions using non-living systems, particularly involving robot swarms, have been used to explore the potentiality of collective intelligence. Here we suggest a novel approach to the problem grounded in the genetic engineering of unicellular systems, which can be modified in order to interact, store memories or adapt to external stimuli in collective ways. What we label as Synthetic Swarm Intelligence defines a parallel approach to the evolution of computation and swarm intelligence and allows to explore potential embodied scenarios for decision making at the microscale. Here, we consider several relevant examples of collective intelligence and their synthetic organism counterparts. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  3. Multiple Intelligences: A Collection.

    ERIC Educational Resources Information Center

    Fogarty, Robin, Ed.; Bellanca, James, Ed.

    As a concise resource for Howard Gardner's theory of multiple intelligences and its implications for schooling around the world, this collection is designed for educators, parents, and others interested in education. The first section discusses Gardner and his background, and the second section expounds his theory. The third section explores the…

  4. Theory of Collective Intelligence

    NASA Technical Reports Server (NTRS)

    Wolpert, David H.

    2003-01-01

    In this chapter an analysis of the behavior of an arbitrary (perhaps massive) collective of computational processes in terms of an associated "world" utility function is presented We concentrate on the situation where each process in the collective can be viewed as though it were striving to maximize its own private utility function. For such situations the central design issue is how to initialize/update the collective's structure, and in particular the private utility functions, so as to induce the overall collective to behave in a way that has large values of the world utility. Traditional "team game" approaches to this problem simply set each private utility function equal to the world utility function. The "Collective Intelligence" (COIN) framework is a semi-formal set of heuristics that recently have been used to construct private utility. functions that in many experiments have resulted in world utility values up to orders of magnitude superior to that ensuing from use of the team game utility. In this paper we introduce a formal mathematics for analyzing and designing collectives. We also use this mathematics to suggest new private utilities that should outperform the COIN heuristics in certain kinds of domains. In accompanying work we use that mathematics to explain previous experimental results concerning the superiority of COIN heuristics. In that accompanying work we also use the mathematics to make numerical predictions, some of which we then test. In this way these two papers establish the study of collectives as a proper science, involving theory, explanation of old experiments, prediction concerning new experiments, and engineering insights.

  5. Path planning in GPS-denied environments via collective intelligence of distributed sensor networks

    NASA Astrophysics Data System (ADS)

    Jha, Devesh K.; Chattopadhyay, Pritthi; Sarkar, Soumik; Ray, Asok

    2016-05-01

    This paper proposes a framework for reactive goal-directed navigation without global positioning facilities in unknown dynamic environments. A mobile sensor network is used for localising regions of interest for path planning of an autonomous mobile robot. The underlying theory is an extension of a generalised gossip algorithm that has been recently developed in a language-measure-theoretic setting. The algorithm has been used to propagate local decisions of target detection over a mobile sensor network and thus, it generates a belief map for the detected target over the network. In this setting, an autonomous mobile robot may communicate only with a few mobile sensing nodes in its own neighbourhood and localise itself relative to the communicating nodes with bounded uncertainties. The robot makes use of the knowledge based on the belief of the mobile sensors to generate a sequence of way-points, leading to a possible goal. The estimated way-points are used by a sampling-based motion planning algorithm to generate feasible trajectories for the robot. The proposed concept has been validated by numerical simulation on a mobile sensor network test-bed and a Dubin's car-like robot.

  6. Optimal incentives for collective intelligence

    PubMed Central

    Helbing, Dirk

    2017-01-01

    Collective intelligence is the ability of a group to perform more effectively than any individual alone. Diversity among group members is a key condition for the emergence of collective intelligence, but maintaining diversity is challenging in the face of social pressure to imitate one’s peers. Through an evolutionary game-theoretic model of collective prediction, we investigate the role that incentives may play in maintaining useful diversity. We show that market-based incentive systems produce herding effects, reduce information available to the group, and restrain collective intelligence. Therefore, we propose an incentive scheme that rewards accurate minority predictions and show that this produces optimal diversity and collective predictive accuracy. We conclude that real world systems should reward those who have shown accuracy when the majority opinion has been in error. PMID:28461491

  7. Research on Intelligent Synthesis Environments

    NASA Technical Reports Server (NTRS)

    Noor, Ahmed K.; Lobeck, William E.

    2002-01-01

    Four research activities related to Intelligent Synthesis Environment (ISE) have been performed under this grant. The four activities are: 1) non-deterministic approaches that incorporate technologies such as intelligent software agents, visual simulations and other ISE technologies; 2) virtual labs that leverage modeling, simulation and information technologies to create an immersive, highly interactive virtual environment tailored to the needs of researchers and learners; 3) advanced learning modules that incorporate advanced instructional, user interface and intelligent agent technologies; and 4) assessment and continuous improvement of engineering team effectiveness in distributed collaborative environments.

  8. Research on Intelligent Synthesis Environments

    NASA Astrophysics Data System (ADS)

    Noor, Ahmed K.; Loftin, R. Bowen

    2002-12-01

    Four research activities related to Intelligent Synthesis Environment (ISE) have been performed under this grant. The four activities are: 1) non-deterministic approaches that incorporate technologies such as intelligent software agents, visual simulations and other ISE technologies; 2) virtual labs that leverage modeling, simulation and information technologies to create an immersive, highly interactive virtual environment tailored to the needs of researchers and learners; 3) advanced learning modules that incorporate advanced instructional, user interface and intelligent agent technologies; and 4) assessment and continuous improvement of engineering team effectiveness in distributed collaborative environments.

  9. An Intelligence Collection Management Model.

    DTIC Science & Technology

    1984-06-01

    classification of inteligence collection requirements in terms of. the a-.- metnodo"c, .ev--e in Chaster Five. 116 APPgENDIX A A METHOD OF RANKING...of Artificial Intelligence Tools and Technigues to!TN’X n~l is n rs aa~emfft-.3-ufnyva: ’A TZ Ashby W. Ecss. An Introduction to Cybernetics. New York

  10. Business Sustainability and Collective Intelligence

    ERIC Educational Resources Information Center

    Garrido, Paulo

    2009-01-01

    Purpose: The purpose of this paper is to analyze to which point collective intelligence (CI) concepts and ideas, as applied to organizations, can contribute to enlarge the conceptual basis for business sustainability (BS). Design/methodology/approach: The paper is written from an engineer-minded, systemic and cybernetic perspective. It begins by…

  11. Business Sustainability and Collective Intelligence

    ERIC Educational Resources Information Center

    Garrido, Paulo

    2009-01-01

    Purpose: The purpose of this paper is to analyze to which point collective intelligence (CI) concepts and ideas, as applied to organizations, can contribute to enlarge the conceptual basis for business sustainability (BS). Design/methodology/approach: The paper is written from an engineer-minded, systemic and cybernetic perspective. It begins by…

  12. Collective Intelligence. Chapter 17

    NASA Technical Reports Server (NTRS)

    Wolpert, David H.

    2003-01-01

    Many systems of self-interested agents have an associated performance criterion that rates the dynamic behavior of the overall system. This chapter presents an introduction to the science of such systems. Formally, collectives are defined as any system having the following two characteristics: First, the system must contain one or more agents each of which we view as trying to maximize an associated private utility; second, the system must have an associated world utility function that rates the possible behaviors of that overall system. In practice, collectives are often very large, distributed, and support little, if any, centralized communication and control, although those characteristics are not part of their formal definition. A naturally occurring example of a collective is a human economy. One can identify the agents and their private utilities as the human individuals in the economy and the associated personal rewards they are each trying to maximize. One could then identify the world utility as the time average of the gross domestic product. ("World utility" per se is not a construction internal to a human economy, but rather something defined from the outside.) To achieve high world utility it is necessary to avoid having the agents work at cross-purposes lest phenomena like liquidity traps or the Tragedy of the Commons (TOC) occur, in which agents' individually pursuing their private utilities lowers world utility. The obvious way to avoid such phenomena is by modifying the agents utility functions to be "aligned" with the world utility. This can be done via punitive legislation. A real-world example of an attempt to do this was the creation of antitrust regulations designed to prevent monopolistic practices.

  13. Collective Intelligence. Chapter 17

    NASA Technical Reports Server (NTRS)

    Wolpert, David H.

    2003-01-01

    Many systems of self-interested agents have an associated performance criterion that rates the dynamic behavior of the overall system. This chapter presents an introduction to the science of such systems. Formally, collectives are defined as any system having the following two characteristics: First, the system must contain one or more agents each of which we view as trying to maximize an associated private utility; second, the system must have an associated world utility function that rates the possible behaviors of that overall system. In practice, collectives are often very large, distributed, and support little, if any, centralized communication and control, although those characteristics are not part of their formal definition. A naturally occurring example of a collective is a human economy. One can identify the agents and their private utilities as the human individuals in the economy and the associated personal rewards they are each trying to maximize. One could then identify the world utility as the time average of the gross domestic product. ("World utility" per se is not a construction internal to a human economy, but rather something defined from the outside.) To achieve high world utility it is necessary to avoid having the agents work at cross-purposes lest phenomena like liquidity traps or the Tragedy of the Commons (TOC) occur, in which agents' individually pursuing their private utilities lowers world utility. The obvious way to avoid such phenomena is by modifying the agents utility functions to be "aligned" with the world utility. This can be done via punitive legislation. A real-world example of an attempt to do this was the creation of antitrust regulations designed to prevent monopolistic practices.

  14. Multipoint sensing by intelligent collectives

    NASA Technical Reports Server (NTRS)

    Clare, L. P.

    2002-01-01

    Many remote sensing applications require that multiple sensors collect data simultaneously at spatially distributed locations and their information combined in order to characterize the phenomena of interest. Several basic classes of such multipoint measurement systems may be identified. For each, centralized methods exist for combining the raw data from the various sensors. However, recent advancements have given rise to small, integrated nodes comprised of one or more miniaturized sensors, processor, wireless communications capability and power supplies. Collections of these may be deployed and self-organized into intelligent sensor networks capable of performing cooperative signal processing locally, thereby providing substantial benefits.

  15. Distributed Control with Collective Intelligence

    NASA Technical Reports Server (NTRS)

    Wolpert, David H.; Wheeler, Kevin R.; Tumer, Kagan

    1998-01-01

    We consider systems of interacting reinforcement learning (RL) algorithms that do not work at cross purposes , in that their collective behavior maximizes a global utility function. We call such systems COllective INtelligences (COINs). We present the theory of designing COINs. Then we present experiments validating that theory in the context of two distributed control problems: We show that COINs perform near-optimally in a difficult variant of Arthur's bar problem [Arthur] (and in particular avoid the tragedy of the commons for that problem), and we also illustrate optimal performance in the master-slave problem.

  16. Fleet Assignment Using Collective Intelligence

    NASA Technical Reports Server (NTRS)

    Antoine, Nicolas E.; Bieniawski, Stefan R.; Kroo, Ilan M.; Wolpert, David H.

    2004-01-01

    Product distribution theory is a new collective intelligence-based framework for analyzing and controlling distributed systems. Its usefulness in distributed stochastic optimization is illustrated here through an airline fleet assignment problem. This problem involves the allocation of aircraft to a set of flights legs in order to meet passenger demand, while satisfying a variety of linear and non-linear constraints. Over the course of the day, the routing of each aircraft is determined in order to minimize the number of required flights for a given fleet. The associated flow continuity and aircraft count constraints have led researchers to focus on obtaining quasi-optimal solutions, especially at larger scales. In this paper, the authors propose the application of this new stochastic optimization algorithm to a non-linear objective cold start fleet assignment problem. Results show that the optimizer can successfully solve such highly-constrained problems (130 variables, 184 constraints).

  17. Supporting tactical intelligence using collaborative environments and social networking

    NASA Astrophysics Data System (ADS)

    Wollocko, Arthur B.; Farry, Michael P.; Stark, Robert F.

    2013-05-01

    Modern military environments place an increased emphasis on the collection and analysis of intelligence at the tactical level. The deployment of analytical tools at the tactical level helps support the Warfighter's need for rapid collection, analysis, and dissemination of intelligence. However, given the lack of experience and staffing at the tactical level, most of the available intelligence is not exploited. Tactical environments are staffed by a new generation of intelligence analysts who are well-versed in modern collaboration environments and social networking. An opportunity exists to enhance tactical intelligence analysis by exploiting these personnel strengths, but is dependent on appropriately designed information sharing technologies. Existing social information sharing technologies enable users to publish information quickly, but do not unite or organize information in a manner that effectively supports intelligence analysis. In this paper, we present an alternative approach to structuring and supporting tactical intelligence analysis that combines the benefits of existing concepts, and provide detail on a prototype system embodying that approach. Since this approach employs familiar collaboration support concepts from social media, it enables new-generation analysts to identify the decision-relevant data scattered among databases and the mental models of other personnel, increasing the timeliness of collaborative analysis. Also, the approach enables analysts to collaborate visually to associate heterogeneous and uncertain data within the intelligence analysis process, increasing the robustness of collaborative analyses. Utilizing this familiar dynamic collaboration environment, we hope to achieve a significant reduction of time and skill required to glean actionable intelligence in these challenging operational environments.

  18. A Survey of Collective Intelligence

    NASA Technical Reports Server (NTRS)

    Wolpert, David H.; Tumer, Kagan

    1999-01-01

    This chapter presents the science of "COllective INtelligence" (COIN). A COIN is a large multi-agent systems where: i) the agents each run reinforcement learning (RL) algorithms; ii) there is little to no centralized communication or control; iii) there is a provided world utility function that, rates the possible histories of tile full system. Tile conventional approach to designing large distributed systems to optimize a world utility does not use agents running RL algorithms. Rather that approach begins with explicit modeling of the overall system's dynamics, followed by detailed hand-tuning of the interactions between the components to ensure that they "cooperate" as far as the world utility is concerned. This approach is labor-intensive, often results in highly non-robust systems, and usually results in design techniques that, have limited applicability. In contrast, with COINs we wish to solve the system design problems implicitly, via the 'adaptive' character of the RL algorithms of each of the agents. This COIN approach introduces an entirely new, profound design problem: Assuming the RL algorithms are able to achieve high rewards, what reward functions for the individual agents will, when pursued by those agents, result in high world utility? In other words, what reward functions will best ensure that we do not have phenomena like the tragedy of the commons, or Braess's paradox? Although still very young, the science of COINs has already resulted in successes in artificial domains, in particular in packet-routing, the leader-follower problem, and in variants of Arthur's "El Farol bar problem". It is expected that as it matures not only will COIN science expand greatly the range of tasks addressable by human engineers, but it will also provide much insight into already established scientific fields, such as economics, game theory, or population biology.

  19. Using Collective Intelligence to Route Internet Traffic

    NASA Technical Reports Server (NTRS)

    Wolpert, David H.; Tumer, Kagan; Frank, Jeremy

    1998-01-01

    A Collective Intelligence (COIN) is a community of interacting reinforcement learning (RL) algorithms designed so that their collective behavior maximizes a global utility function. We introduce the theory of COINs, then present experiments using that theory to design COINs to control internet traffic routing. These experiments indicate that COINs outperform previous RL-based systems for such routing that have previously been investigated.

  20. Robust Behavior Recognition in Intelligent Surveillance Environments.

    PubMed

    Batchuluun, Ganbayar; Kim, Yeong Gon; Kim, Jong Hyun; Hong, Hyung Gil; Park, Kang Ryoung

    2016-06-30

    Intelligent surveillance systems have been studied by many researchers. These systems should be operated in both daytime and nighttime, but objects are invisible in images captured by visible light camera during the night. Therefore, near infrared (NIR) cameras, thermal cameras (based on medium-wavelength infrared (MWIR), and long-wavelength infrared (LWIR) light) have been considered for usage during the nighttime as an alternative. Due to the usage during both daytime and nighttime, and the limitation of requiring an additional NIR illuminator (which should illuminate a wide area over a great distance) for NIR cameras during the nighttime, a dual system of visible light and thermal cameras is used in our research, and we propose a new behavior recognition in intelligent surveillance environments. Twelve datasets were compiled by collecting data in various environments, and they were used to obtain experimental results. The recognition accuracy of our method was found to be 97.6%, thereby confirming the ability of our method to outperform previous methods.

  1. Robust Behavior Recognition in Intelligent Surveillance Environments

    PubMed Central

    Batchuluun, Ganbayar; Kim, Yeong Gon; Kim, Jong Hyun; Hong, Hyung Gil; Park, Kang Ryoung

    2016-01-01

    Intelligent surveillance systems have been studied by many researchers. These systems should be operated in both daytime and nighttime, but objects are invisible in images captured by visible light camera during the night. Therefore, near infrared (NIR) cameras, thermal cameras (based on medium-wavelength infrared (MWIR), and long-wavelength infrared (LWIR) light) have been considered for usage during the nighttime as an alternative. Due to the usage during both daytime and nighttime, and the limitation of requiring an additional NIR illuminator (which should illuminate a wide area over a great distance) for NIR cameras during the nighttime, a dual system of visible light and thermal cameras is used in our research, and we propose a new behavior recognition in intelligent surveillance environments. Twelve datasets were compiled by collecting data in various environments, and they were used to obtain experimental results. The recognition accuracy of our method was found to be 97.6%, thereby confirming the ability of our method to outperform previous methods. PMID:27376288

  2. Enabling Efficient Intelligence Analysis in Degraded Environments

    DTIC Science & Technology

    2013-06-01

    When facing decisions in underdeveloped, degraded, and denied environments, commanders are likely to rely even more heavily on efficient intelligence ... analysis . Unfortunately, most of the time, the data gathered in these environments will be uncertain, ambiguous, and incomplete. Tools enabling fast

  3. New Perspectives on Intelligence Collection and Processing

    DTIC Science & Technology

    2016-06-01

    along can be more robust than specifying a model and using mathematical optimization [2]. Although it was first defined in machine -learning literature...originating in the machine - learning community, to sample from more than one source at a time, as is the case in intelligence organizations that analyze large...is collected. xvi List of References [1] S. Shalev-Shwartz, “Online learning and online convex optimization,” Foundations and Trends in Machine

  4. Intelligent Motion and Interaction Within Virtual Environments

    NASA Technical Reports Server (NTRS)

    Ellis, Stephen R. (Editor); Slater, Mel (Editor); Alexander, Thomas (Editor)

    2007-01-01

    What makes virtual actors and objects in virtual environments seem real? How can the illusion of their reality be supported? What sorts of training or user-interface applications benefit from realistic user-environment interactions? These are some of the central questions that designers of virtual environments face. To be sure simulation realism is not necessarily the major, or even a required goal, of a virtual environment intended to communicate specific information. But for some applications in entertainment, marketing, or aspects of vehicle simulation training, realism is essential. The following chapters will examine how a sense of truly interacting with dynamic, intelligent agents may arise in users of virtual environments. These chapters are based on presentations at the London conference on Intelligent Motion and Interaction within a Virtual Environments which was held at University College, London, U.K., 15-17 September 2003.

  5. Spatial Collective Intelligence? credibility, accuracy, and Volunteered Geographic Information.

    PubMed

    Spielman, Seth E

    2014-01-01

    Collective intelligence is the idea that under the right circumstances collections of individuals are smarter than even the smartest individuals in the group (Suroweiki 2004), that is a group has an "intelligence" that is independent of the intelligence of its members. The ideology of collective intelligence undergirds much of the enthusiasm about the use of "volunteered" or crowdsourced geographic information. Literature from a variety of fields makes clear that not all groups possess collective intelligence, this paper identifies four pre-conditions for the emergence of collective intelligence and then examine the extent to which collectively generated mapping systems satisfy these conditions. However, the "intelligence" collectively generated maps is hard to assess because there are two difficult to reconcile perspectives on map quality- the credibility perspective and the accuracy perspective. Much of the current literature on user generated maps focuses on assessing the quality of individual contributions. However, because user generated maps are complex social systems and because the quality of a contribution is difficult to assess this strategy may not yield an "intelligent" end product. The existing literature on collective intelligence suggests that the structure of groups more important that the intelligence of group members. Applying this idea to user generated suggests that systems should be designed to foster conditions known to produce collective intelligence rather than privileging particular contributions/contributors. The paper concludes with some design recommendations and by considering the implications of collectively generated maps for both expert knowledge and traditional state sponsored mapping programs.

  6. Intelligent computer-aided training authoring environment

    NASA Technical Reports Server (NTRS)

    Way, Robert D.

    1994-01-01

    Although there has been much research into intelligent tutoring systems (ITS), there are few authoring systems available that support ITS metaphors. Instructional developers are generally obliged to use tools designed for creating on-line books. We are currently developing an authoring environment derived from NASA's research on intelligent computer-aided training (ICAT). The ICAT metaphor, currently in use at NASA has proven effective in disciplines from satellite deployment to high school physics. This technique provides a personal trainer (PT) who instructs the student using a simulated work environment (SWE). The PT acts as a tutor, providing individualized instruction and assistance to each student. Teaching in an SWE allows the student to learn tasks by doing them, rather than by reading about them. This authoring environment will expedite ICAT development by providing a tool set that guides the trainer modeling process. Additionally, this environment provides a vehicle for distributing NASA's ICAT technology to the private sector.

  7. Research on Intelligent Synthesis Environment

    NASA Technical Reports Server (NTRS)

    Loftin, R. Bowen; Dryer, David; Major, Debra; Fletcher, Tom

    2002-01-01

    The ultimate goal of this research project is to develop a methodology for the assessment and continuous improvement of engineering team effectiveness in distributed collaborative environments. This review provides the theoretical foundation upon which subsequent empirical work will be based. Our review of the team performance literature has identified the following 12 conceptually distinct team interaction processes as characteristic of effective teams. 1) Mission Analysis; 2) Resource Distribution; 3) Leadership; 4) Timing; 5) Intra-team Feedback; 6) Motivational Functions; 7) Team Orientation; 8) Communication; 9) Coordination; 10) Mutual Performance Monitoring; 11) Back-up Behaviors; and 12) Cooperation. In addition, this review summarizes how team task characteristics (i.e., task type, task complexity, motivation, and temporal changes), team characteristics (i.e., team structure and team knowledge), and individual team member characteristics (i.e., dispositions and teamwork knowledge, skills, and abilities) affect team interaction processes, determine the relevance of these processes, and influence team performance. The costs and benefits of distributed team collaboration are also considered. The review concludes with a brief discussion of the nature of collaborative team engineering tasks.

  8. Research on Intelligent Synthesis Environment

    NASA Astrophysics Data System (ADS)

    Loftin, R. Bowen; Dryer, David; Major, Debra; Fletcher, Tom

    2002-10-01

    The ultimate goal of this research project is to develop a methodology for the assessment and continuous improvement of engineering team effectiveness in distributed collaborative environments. This review provides the theoretical foundation upon which subsequent empirical work will be based. Our review of the team performance literature has identified the following 12 conceptually distinct team interaction processes as characteristic of effective teams. 1) Mission Analysis; 2) Resource Distribution; 3) Leadership; 4) Timing; 5) Intra-team Feedback; 6) Motivational Functions; 7) Team Orientation; 8) Communication; 9) Coordination; 10) Mutual Performance Monitoring; 11) Back-up Behaviors; and 12) Cooperation. In addition, this review summarizes how team task characteristics (i.e., task type, task complexity, motivation, and temporal changes), team characteristics (i.e., team structure and team knowledge), and individual team member characteristics (i.e., dispositions and teamwork knowledge, skills, and abilities) affect team interaction processes, determine the relevance of these processes, and influence team performance. The costs and benefits of distributed team collaboration are also considered. The review concludes with a brief discussion of the nature of collaborative team engineering tasks.

  9. Multiple Intelligences: A Collection. K-12.

    ERIC Educational Resources Information Center

    Fogarty, Robin, Ed.; Bellanca, James, Ed.

    Divided into five concise sections, this book introduces and examines the personage of Howard Gardner and his theory of multiple intelligences. The articles explore practical applications and implications of the theory and provide supporting evidence applicable to all children. Special applications of the multiple intelligences theory, including…

  10. Designing Distributed Learning Environments with Intelligent Software Agents

    ERIC Educational Resources Information Center

    Lin, Fuhua, Ed.

    2005-01-01

    "Designing Distributed Learning Environments with Intelligent Software Agents" reports on the most recent advances in agent technologies for distributed learning. Chapters are devoted to the various aspects of intelligent software agents in distributed learning, including the methodological and technical issues on where and how intelligent agents…

  11. Designing Distributed Learning Environments with Intelligent Software Agents

    ERIC Educational Resources Information Center

    Lin, Fuhua, Ed.

    2005-01-01

    "Designing Distributed Learning Environments with Intelligent Software Agents" reports on the most recent advances in agent technologies for distributed learning. Chapters are devoted to the various aspects of intelligent software agents in distributed learning, including the methodological and technical issues on where and how intelligent agents…

  12. A Software Architecture for Intelligent Synthesis Environments

    NASA Technical Reports Server (NTRS)

    Filman, Robert E.; Norvig, Peter (Technical Monitor)

    2001-01-01

    The NASA's Intelligent Synthesis Environment (ISE) program is a grand attempt to develop a system to transform the way complex artifacts are engineered. This paper discusses a "middleware" architecture for enabling the development of ISE. Desirable elements of such an Intelligent Synthesis Architecture (ISA) include remote invocation; plug-and-play applications; scripting of applications; management of design artifacts, tools, and artifact and tool attributes; common system services; system management; and systematic enforcement of policies. This paper argues that the ISA extend conventional distributed object technology (DOT) such as CORBA and Product Data Managers with flexible repositories of product and tool annotations and "plug-and-play" mechanisms for inserting "ility" or orthogonal concerns into the system. I describe the Object Infrastructure Framework, an Aspect Oriented Programming (AOP) environment for developing distributed systems that provides utility insertion and enables consistent annotation maintenance. This technology can be used to enforce policies such as maintaining the annotations of artifacts, particularly the provenance and access control rules of artifacts-, performing automatic datatype transformations between representations; supplying alternative servers of the same service; reporting on the status of jobs and the system; conveying privileges throughout an application; supporting long-lived transactions; maintaining version consistency; and providing software redundancy and mobility.

  13. A Software Architecture for Intelligent Synthesis Environments

    NASA Technical Reports Server (NTRS)

    Filman, Robert E.; Norvig, Peter (Technical Monitor)

    2001-01-01

    The NASA's Intelligent Synthesis Environment (ISE) program is a grand attempt to develop a system to transform the way complex artifacts are engineered. This paper discusses a "middleware" architecture for enabling the development of ISE. Desirable elements of such an Intelligent Synthesis Architecture (ISA) include remote invocation; plug-and-play applications; scripting of applications; management of design artifacts, tools, and artifact and tool attributes; common system services; system management; and systematic enforcement of policies. This paper argues that the ISA extend conventional distributed object technology (DOT) such as CORBA and Product Data Managers with flexible repositories of product and tool annotations and "plug-and-play" mechanisms for inserting "ility" or orthogonal concerns into the system. I describe the Object Infrastructure Framework, an Aspect Oriented Programming (AOP) environment for developing distributed systems that provides utility insertion and enables consistent annotation maintenance. This technology can be used to enforce policies such as maintaining the annotations of artifacts, particularly the provenance and access control rules of artifacts-, performing automatic datatype transformations between representations; supplying alternative servers of the same service; reporting on the status of jobs and the system; conveying privileges throughout an application; supporting long-lived transactions; maintaining version consistency; and providing software redundancy and mobility.

  14. Teaching for Intelligence I: A Collection of Articles.

    ERIC Educational Resources Information Center

    Presseisen, Barbara Z., Ed.

    This collection of articles offers theories and thoughts presented at the 1998 Teaching for Intelligence Conference. They highlight a wide and diverse range of views on pedagogy, achievement, and the state of education. Section 1, "The Need for Intelligence in Schooling," includes "On the Habit of Informed Skepticism" (Theodore R. Sizer);…

  15. Teaching for Intelligence I: A Collection of Articles.

    ERIC Educational Resources Information Center

    Presseisen, Barbara Z., Ed.

    This collection of articles offers theories and thoughts presented at the 1998 Teaching for Intelligence Conference. They highlight a wide and diverse range of views on pedagogy, achievement, and the state of education. Section 1, "The Need for Intelligence in Schooling," includes "On the Habit of Informed Skepticism" (Theodore R. Sizer);…

  16. Avoiding Braess' Paradox Through Collective Intelligence

    NASA Technical Reports Server (NTRS)

    Wolpert , David H.; Tumer, Kagan

    1999-01-01

    In an Ideal Shortest Path Algorithm (ISPA), at each moment each router in a network sends all of its traffic down the path that will incur the lowest cost to that traffic. In the limit of an infinitesimally small amount of traffic for a particular router, its routing that traffic via an ISPA is optimal, as far as cost incurred by that traffic is concerned. We demonstrate though that in many cases, due to the side-effects of one router's actions on another routers performance, having routers use ISPA's is suboptimal as far as global aggregate cost is concerned, even when only used to route infinitesimally small amounts of traffic. As a particular example of this we present an instance of Braess' paradox for ISPA'S, in which adding new links to a network decreases overall throughput. We also demonstrate that load-balancing, in which the routing decisions are made to optimize the global cost incurred by all traffic currently being routed, is suboptimal as far as global cost averaged across time is concerned. This is also due to "side-effects", in this case of current routing decision on future traffic. The theory of COllective INtelligence (COIN) is concerned precisely with the issue of avoiding such deleterious side-effects. We present key concepts from that theory and use them to derive an idealized algorithm whose performance is better than that of the ISPA, even in the infinitesimal limit. We present experiments verifying this, and also showing that a machine-learning-based version of this COIN algorithm in which costs are only imprecisely estimated (a version potentially applicable in the real world) also outperforms the ISPA, despite having access to less information than does the ISPA. In particular, this COIN algorithm avoids Braess' paradox.

  17. Spatial Collective Intelligence? credibility, accuracy, and Volunteered Geographic Information

    PubMed Central

    Spielman, Seth E.

    2014-01-01

    Collective intelligence is the idea that under the right circumstances collections of individuals are smarter than even the smartest individuals in the group (Suroweiki 2004), that is a group has an “intelligence” that is independent of the intelligence of its members. The ideology of collective intelligence undergirds much of the enthusiasm about the use of “volunteered” or crowdsourced geographic information. Literature from a variety of fields makes clear that not all groups possess collective intelligence, this paper identifies four pre-conditions for the emergence of collective intelligence and then examine the extent to which collectively generated mapping systems satisfy these conditions. However, the “intelligence” collectively generated maps is hard to assess because there are two difficult to reconcile perspectives on map quality- the credibility perspective and the accuracy perspective. Much of the current literature on user generated maps focuses on assessing the quality of individual contributions. However, because user generated maps are complex social systems and because the quality of a contribution is difficult to assess this strategy may not yield an “intelligent” end product. The existing literature on collective intelligence suggests that the structure of groups more important that the intelligence of group members. Applying this idea to user generated suggests that systems should be designed to foster conditions known to produce collective intelligence rather than privileging particular contributions/contributors. The paper concludes with some design recommendations and by considering the implications of collectively generated maps for both expert knowledge and traditional state sponsored mapping programs. PMID:25419184

  18. Intelligent decision support in process environments

    SciTech Connect

    Hollnagel, E.; Mancini, G.; Woods, D.D.

    1986-01-01

    This book deals with the basis for design of intelligent systems to support human decision-making in supervisory control, and provides a view of how human and artificial cognitive systems can interact. It covers the design and development of intelligent decision aiding systems, as well as the testing and evaluation. Topics discussed include: decision theory; cognitive engineering; systems engineering; and artificial intelligence.

  19. Adding Intelligence to a Learning Environment: Learner-Centred Design?

    ERIC Educational Resources Information Center

    Brna, Paul; Cox, R.

    1998-01-01

    Discussion of learner-centered design focuses on the development of switchEr, a specific learning environment changed to an intelligent learning environment by switching from one external representation (ER) to another. Topics include user-centered design; the role of artificial intelligence; and the development of effective educational computing…

  20. Adding Intelligence to a Learning Environment: Learner-Centred Design?

    ERIC Educational Resources Information Center

    Brna, Paul; Cox, R.

    1998-01-01

    Discussion of learner-centered design focuses on the development of switchEr, a specific learning environment changed to an intelligent learning environment by switching from one external representation (ER) to another. Topics include user-centered design; the role of artificial intelligence; and the development of effective educational computing…

  1. Forecasting rain events - Meteorological models or collective intelligence?

    NASA Astrophysics Data System (ADS)

    Arazy, Ofer; Halfon, Noam; Malkinson, Dan

    2015-04-01

    Collective intelligence is shared (or group) intelligence that emerges from the collective efforts of many individuals. Collective intelligence is the aggregate of individual contributions: from simple collective decision making to more sophisticated aggregations such as in crowdsourcing and peer-production systems. In particular, collective intelligence could be used in making predictions about future events, for example by using prediction markets to forecast election results, stock prices, or the outcomes of sport events. To date, there is little research regarding the use of collective intelligence for prediction of weather forecasting. The objective of this study is to investigate the extent to which collective intelligence could be utilized to accurately predict weather events, and in particular rainfall. Our analyses employ metrics of group intelligence, as well as compare the accuracy of groups' predictions against the predictions of the standard model used by the National Meteorological Services. We report on preliminary results from a study conducted over the 2013-2014 and 2014-2015 winters. We have built a web site that allows people to make predictions on precipitation levels on certain locations. During each competition participants were allowed to enter their precipitation forecasts (i.e. 'bets') at three locations and these locations changed between competitions. A precipitation competition was defined as a 48-96 hour period (depending on the expected weather conditions), bets were open 24-48 hours prior to the competition, and during betting period participants were allowed to change their bets with no limitation. In order to explore the effect of transparency, betting mechanisms varied across study's sites: full transparency (participants able to see each other's bets); partial transparency (participants see the group's average bet); and no transparency (no information of others' bets is made available). Several interesting findings emerged from

  2. INITIATE: An Intelligent Adaptive Alert Environment.

    PubMed

    Jafarpour, Borna; Abidi, Samina Raza; Ahmad, Ahmad Marwan; Abidi, Syed Sibte Raza

    2015-01-01

    Exposure to a large volume of alerts generated by medical Alert Generating Systems (AGS) such as drug-drug interaction softwares or clinical decision support systems over-whelms users and causes alert fatigue in them. Some of alert fatigue effects are ignoring crucial alerts and longer response times. A common approach to avoid alert fatigue is to devise mechanisms in AGS to stop them from generating alerts that are deemed irrelevant. In this paper, we present a novel framework called INITIATE: an INtellIgent adapTIve AlerT Environment to avoid alert fatigue by managing alerts generated by one or more AGS. We have identified and categories the lifecycle of different alerts and have developed alert management logic as per the alerts' lifecycle. Our framework incorporates an ontology that represents the alert management strategy and an alert management engine that executes this strategy. Our alert management framework offers the following features: (1) Adaptability based on users' feedback; (2) Personalization and aggregation of messages; and (3) Connection to Electronic Medical Records by implementing a HL7 Clinical Document Architecture parser.

  3. Processing of remote sensing information in cooperative intelligent grid environment

    NASA Astrophysics Data System (ADS)

    Sun, Jie; Ma, Hongchao; Zhong, Liang

    2008-12-01

    In order to raise the intelligent level and improve cooperative ability of grid. This paper proposes an agent oriented middleware, which is applied to the traditional OGSA architecture to compose a new architecture named CIG (Cooperative Intelligent Grid) and expounds the types of cooperative processing of remote sensing, the architecture of CIG and how to implement the cooperation in the CIG environment.

  4. Intelligent Memory Module Overcomes Harsh Environments

    NASA Technical Reports Server (NTRS)

    2008-01-01

    Solar cells, integrated circuits, and sensors are essential to manned and unmanned space flight and exploration, but such systems are highly susceptible to damage from radiation. Especially problematic, the Van Allen radiation belts encircle Earth in concentric radioactive tori at distances from about 6,300 to 38,000 km, though the inner radiation belt can dip as low as 700 km, posing a severe hazard to craft and humans leaving Earth s atmosphere. To avoid this radiation, the International Space Station and space shuttles orbit at altitudes between 275 and 460 km, below the belts range, and Apollo astronauts skirted the edge of the belts to minimize exposure, passing swiftly through thinner sections of the belts and thereby avoiding significant side effects. This radiation can, however, prove detrimental to improperly protected electronics on satellites that spend the majority of their service life in the harsh environment of the belts. Compact, high-performance electronics that can withstand extreme environmental and radiation stress are thus critical to future space missions. Increasing miniaturization of electronics addresses the need for lighter weight in launch payloads, as launch costs put weight at a premium. Likewise, improved memory technologies have reduced size, cost, mass, power demand, and system complexity, and improved high-bandwidth communication to meet the data volume needs of the next-generation high-resolution sensors. This very miniaturization, however, has exacerbated system susceptibility to radiation, as the charge of ions may meet or exceed that of circuitry, overwhelming the circuit and disrupting operation of a satellite. The Hubble Space Telescope, for example, must turn off its sensors when passing through intense radiation to maintain reliable operation. To address the need for improved data quality, additional capacity for raw and processed data, ever-increasing resolution, and radiation tolerance, NASA spurred the development of the

  5. 75 FR 49946 - National Drug Intelligence Center: Agency Information Collection Activities: Proposed Extension...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-16

    ... National Drug Intelligence Center: Agency Information Collection Activities: Proposed Extension With Change... Response System. The United States Department of Justice (DOJ), National Drug Intelligence Center (NDIC... Intelligence Center, Fifth Floor, 319 Washington Street, Johnstown, PA 15901. Written comments and...

  6. Swarms, phase transitions, and collective intelligence

    SciTech Connect

    Millonas, M.M. . Dept. of Physics)

    1992-01-01

    A model of the collective behavior of a large number of locally acting organisms is proposed. The model is intended to be realistic, but turns out to fit naturally into the category of connectionist models, Like all connectionist models, its properties can be divided into the categories of structure, dynamics, and learning. The space in which the organisms move is discretized, and is modeled by a lattice of nodes, or cells. Each cell hag a specified volume, and is connected to other cells in the space in a definite way. Organisms move probabilistically between local cells in this space, but with weights dependent on local morphogenic substances, or morphogens. The morphogens are in turn are effected by the passage of an organism. The evolution of the morphogens, and the corresponding constitutes of the organisms constitutes the collective behavior of the group. The generic properties of such systems are analyzed, and a number of results are obtained. The model has various types of phase transitions and self-organizing properties controlled both by the level of the noise, and other parameters. It is hoped that the present mode; might serve as a paradigmatic example of a complex cooperative system in nature. In particular this model can be used to explore the relation of phase transitions to at least three important issues encountered in artificial life. Firstly, that of emergence as complex adaptive behavior. Secondly, as an exploration of second order phase transitions in biological systems. Lastly, to derive behavioral criteria for the evolution of collective behavior in social organisms. The model is then applied to the specific case of ants moving on a lattice. The local behavior of the ants is inspired by the actual behavior observed in the laboratory, and analytic results for the collective behavior are compared to the corresponding laboratory results. Monte carlo simulations are used as illustrations.

  7. Swarms, phase transitions, and collective intelligence

    SciTech Connect

    Millonas, M.M.

    1992-12-31

    A model of the collective behavior of a large number of locally acting organisms is proposed. The model is intended to be realistic, but turns out to fit naturally into the category of connectionist models, Like all connectionist models, its properties can be divided into the categories of structure, dynamics, and learning. The space in which the organisms move is discretized, and is modeled by a lattice of nodes, or cells. Each cell hag a specified volume, and is connected to other cells in the space in a definite way. Organisms move probabilistically between local cells in this space, but with weights dependent on local morphogenic substances, or morphogens. The morphogens are in turn are effected by the passage of an organism. The evolution of the morphogens, and the corresponding constitutes of the organisms constitutes the collective behavior of the group. The generic properties of such systems are analyzed, and a number of results are obtained. The model has various types of phase transitions and self-organizing properties controlled both by the level of the noise, and other parameters. It is hoped that the present mode; might serve as a paradigmatic example of a complex cooperative system in nature. In particular this model can be used to explore the relation of phase transitions to at least three important issues encountered in artificial life. Firstly, that of emergence as complex adaptive behavior. Secondly, as an exploration of second order phase transitions in biological systems. Lastly, to derive behavioral criteria for the evolution of collective behavior in social organisms. The model is then applied to the specific case of ants moving on a lattice. The local behavior of the ants is inspired by the actual behavior observed in the laboratory, and analytic results for the collective behavior are compared to the corresponding laboratory results. Monte carlo simulations are used as illustrations.

  8. Knowledge Acquisition in Intelligent Learning Environments.

    ERIC Educational Resources Information Center

    Mandl, Heinz, Ed.

    1988-01-01

    Issues connected with knowledge acquisition through the development of complex computer programs--Intelligent Tutoring Systems (ITSs)--are discussed. The components of such a system and its applications are considered, including: elicitation of knowledge, tutoring with incomplete/uncertain knowledge, self-improving tutoring systems, and…

  9. Study of the Effect of Education and Academic Environment on Emotional Intelligence on Accounting Students in Iran

    ERIC Educational Resources Information Center

    Salehi, Mahdi; Zadeh, Mohammadreza Abbas; Ghaderi, Alireza; Tabasi, Alaleh Zhian

    2016-01-01

    The current study aims to investigate the relation between education and academic environment on emotional intelligence of accounting students in state and non-state universities in Iran. In order to collecting data Bar-on emotional intelligence test and SCL 90 questionnaire administrated among 476 students in different subjects including…

  10. Knowledge acquisition for medical diagnosis using collective intelligence.

    PubMed

    Hernández-Chan, G; Rodríguez-González, A; Alor-Hernández, G; Gómez-Berbís, J M; Mayer-Pujadas, M A; Posada-Gómez, R

    2012-11-01

    The wisdom of the crowds (WOC) is the process of taking into account the collective opinion of a group of individuals rather than a single expert to answer a question. Based on this assumption, the use of processes based on WOC techniques to collect new biomedical knowledge represents a challenging and cutting-edge trend on biomedical knowledge acquisition. The work presented in this paper shows a new schema to collect diagnosis information in Diagnosis Decision Support Systems (DDSS) based on collective intelligence and consensus methods.

  11. Artificial intelligence: Collective behaviors of synthetic micromachines

    NASA Astrophysics Data System (ADS)

    Duan, Wentao

    Synthetic nano- and micromotors function through the conversion of chemical free energy or forms of energy into mechanical motion. Ever since the first reports, such motors have been the subject of growing interest. In addition to motility in response to gradients, these motors interact with each other, resulting in emergent collective behavior like schooling, exclusion, and predator-prey. However, most of these systems only exhibit a single type of collective behavior in response to a certain stimuli. The research projects in the disseratation aim at designing synthetic micromotors that can exhibit transition between various collective behaviors in response to different stimuli, as well as quantitative understanding on the pairwise interaction and propulsion mechanism of such motors. Chapter 1 offers an overview on development of synthetic micromachines. Interactions and collective behaviors of micromotors are also summarized and included. Chapter 2 presents a silver orthophosphate microparticle system that exhibits collective behaviors. Transition between two collective patterns, clustering and dispersion, can be triggered by shift in chemical equilibrium upon the addition or removal of ammonia, in response to UV light, or under two orthogonal stimuli (UV and acoustic field) and powering mechanisms. The transitions can be explained by the self-diffusiophoresis mechanism resulting from either ionic or neutral solute gradients. Potential applications of the reported system in logic gates, microscale pumping, and hierarchical assembly have been demonstrated. Chapter 3 introduces a self-powered oscillatory micromotor system in which active colloids form clusters whose size changes periodically. The system consists of an aqueous suspension of silver orthophosphate particles under UV radiation, in the presence of a mixture of glucose and hydrogen peroxide. The colloid particles first attract with each other to form clusters. After a lag time of around 5min, chemical

  12. Artificial intelligence in a mission operations and satellite test environment

    NASA Technical Reports Server (NTRS)

    Busse, Carl

    1988-01-01

    A Generic Mission Operations System using Expert System technology to demonstrate the potential of Artificial Intelligence (AI) automated monitor and control functions in a Mission Operations and Satellite Test environment will be developed at the National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL). Expert system techniques in a real time operation environment are being studied and applied to science and engineering data processing. Advanced decommutation schemes and intelligent display technology will be examined to develop imaginative improvements in rapid interpretation and distribution of information. The Generic Payload Operations Control Center (GPOCC) will demonstrate improved data handling accuracy, flexibility, and responsiveness in a complex mission environment. The ultimate goal is to automate repetitious mission operations, instrument, and satellite test functions by the applications of expert system technology and artificial intelligence resources and to enhance the level of man-machine sophistication.

  13. Programming environment for distributed applications design in artificial intelligence

    NASA Astrophysics Data System (ADS)

    Baujard, Olivier; Pesty, Sylvie; Garbay, Catherine

    1992-03-01

    Complex applications in artificial intelligence need a multiple representation of knowledge and tasks in terms of abstraction levels and points of view. The integration of numerous resources (knowledge-based systems, real-time systems, data bases, etc.), often geographically distributed on different machines connected into a network, is moreover a necessity for the development of real scale systems. The distributed artificial intelligence (DAI) approach is thus becoming important to solve problems in complex situations. There are several currents in DAI research and we are involved in the design of DAI programming platforms for large and complex real-world problem solving systems. Blackboard systems constitute the earlier architecture. It is based on a shared memory which permits the communication among a collection of specialists and an external and unique control structure. Blackboard architectures have been extended, especially to introduce parallelism. Multi-agent architectures are based on coordinated agents (problem-solvers) communicating most of the time via message passing. A solution is found through the cooperation between several agents, each of them being in charge of a specific task, but no one having sufficient resources to obtain a solution. Coordination, cooperation, knowledge, goal, plan, exchanges are then necessary to reach a global solution. Our own research is along this last line. The current presentation describes Multi-Agent Problem Solver (MAPS) which is an agent-oriented language for a DAI system design embedded in a full programming environment. An agent is conceived as an autonomous entity with specific goals, roles, skills, and resources. Knowledge (descriptive and operative) is distributed among agents organized into networks (agents communicate through message sending). Agents are moreover geographically distributed and run in a parallel mode. Our purpose is to build a powerful environment for DAI applications design that not only

  14. Causal Model Progressions as a Foundation for Intelligent Learning Environments.

    DTIC Science & Technology

    1987-11-01

    Learning Environments 12. PERSONAL AUTHOR(S? Barbara Y. White and John R. Frederiksen 13a. TYPE OF REPORT 13b TIME COVERED 14. DATE OF REPORT (Year...architecture of a new type of learning environment that incorporates features of microworlds and of intelligent tutorng systems. The environment is based on...The design principles underlying the creation of one type of causal model are then given (for zero-order models of electrical circuit behavior); and

  15. An Intelligent Pinger Network for Solid Glacier Environments

    NASA Astrophysics Data System (ADS)

    Schönitz, S.; Reuter, S.; Henke, C.; Jeschke, S.; Ewert, D.; Eliseev, D.; Heinen, D.; Linder, P.; Scholz, F.; Weinstock, L.; Wickmann, S.; Wiebusch, C.; Zierke, S.

    2016-12-01

    This talk presents a novel approach for an intelligent, agent-based pinger network in an extraterrestrial glacier environment. Because of recent findings of the Cassini spacecraft, a mission to Saturn's moon Enceladus is planned in order search for extraterrestrial life within the ocean beneath Enceladus' ice crust. Therefore, a maneuverable melting probe, the EnEx probe, was developed to melt into Enceladus' ice and take liquid samples from water-filled crevasses. Hence, the probe collecting the samples has to be able to navigate in ice which is a hard problem, because neither visual nor gravitational methods can be used. To enhance the navigability of the probe, a network of autonomous pinger units (APU) is in development that is able to extract a map of the ice environment via ultrasonic soundwaves. A network of these APUs will be deployed on the surface of Enceladus, melt into the ice and form a network to help guide the probe safely to its destination. The APU network is able to form itself fully autonomously and to compensate system failures of individual APUs. The agents controlling the single APU are realized by rule-based expert systems implemented in CLIPS. The rule-based expert system evaluates available information of the environment, decides for actions to take to achieve the desired goal (e.g. a specific network topology), and executes and monitors such actions. In general, it encodes certain situations that are evaluated whenever an APU is currently idle, and then decides for a next action to take. It bases this decision on its internal world model that is shared with the other APUs. The optimal network topology that defines each agents position is iteratively determined by mixed-integer nonlinear programming. Extensive simulations studies show that the proposed agent design enables the APUs to form a robust network topology that is suited to create a reliable 3D map of the ice environment.

  16. Intelligence.

    PubMed

    Sternberg, Robert J

    2012-09-01

    Intelligence is the ability to learn from past experience and, in general, to adapt to, shape, and select environments. Aspects of intelligence are measured by standardized tests of intelligence. Average raw (number-correct) scores on such tests vary across the life span and also across generations, as well as across ethnic and socioeconomic groups. Intelligence can be understood in part in terms of the biology of the brain-especially with regard to the functioning in the prefrontal cortex. Measured values correlate with brain size, at least within humans. The heritability coefficient (ratio of genetic to phenotypic variation) is between 0.4 and 0.8. But genes always express themselves through environment. Heritability varies as a function of a number of factors, including socioeconomic status and range of environments. Racial-group differences in measured intelligence have been reported, but race is a socially constructed rather than biological variable. As a result, these differences are difficult to interpret. Different cultures have different conceptions of the nature of intelligence, and also require different skills in order to express intelligence in the environment. WIREs Cogn Sci 2012 doi: 10.1002/wcs.1193 For further resources related to this article, please visit the WIREs website. Copyright © 2012 John Wiley & Sons, Ltd.

  17. Multiple Intelligences in Virtual and Traditional Skill Instructional Learning Environments

    ERIC Educational Resources Information Center

    McKethan, Robert; Rabinowitz, Erik; Kernodle, Michael W.

    2010-01-01

    The purpose of this investigation was to examine (a) how Multiple Intelligence (MI) strengths correlate to learning in virtual and traditional environments and (b) the effectiveness of learning with and without an authority figure in attendance. Participants (N=69) were randomly assigned to four groups, administered the Multiple Intelligences…

  18. Emotional Intelligence and Staff Training in After-School Environments

    ERIC Educational Resources Information Center

    Seligson, Michelle; MacPhee, Marybeth

    2004-01-01

    The core concept of emotional intelligence is the ever-emerging process of self-awareness, where individuals are able to identify their emotions and manage them in various social environments. This capacity is viewed as an asset in child care because new insights in human development have highlighted the importance of children's social and…

  19. Emotional Intelligence and Staff Training in After-School Environments

    ERIC Educational Resources Information Center

    Seligson, Michelle; MacPhee, Marybeth

    2004-01-01

    The core concept of emotional intelligence is the ever-emerging process of self-awareness, where individuals are able to identify their emotions and manage them in various social environments. This capacity is viewed as an asset in child care because new insights in human development have highlighted the importance of children's social and…

  20. Multiple Intelligences in Virtual and Traditional Skill Instructional Learning Environments

    ERIC Educational Resources Information Center

    McKethan, Robert; Rabinowitz, Erik; Kernodle, Michael W.

    2010-01-01

    The purpose of this investigation was to examine (a) how Multiple Intelligence (MI) strengths correlate to learning in virtual and traditional environments and (b) the effectiveness of learning with and without an authority figure in attendance. Participants (N=69) were randomly assigned to four groups, administered the Multiple Intelligences…

  1. Structural Identification and Comparison of Intelligent Mobile Learning Environment

    ERIC Educational Resources Information Center

    Upadhyay, Nitin; Agarwal, Vishnu Prakash

    2007-01-01

    This paper proposes a methodology using graph theory, matrix algebra and permanent function to compare different architecture (structure) design of intelligent mobile learning environment. The current work deals with the development/selection of optimum architecture (structural) model of iMLE. This can be done using the criterion as discussed in…

  2. A Framework for the Systematic Collection of Open Source Intelligence

    SciTech Connect

    Pouchard, Line Catherine; Trien, Joseph P; Dobson, Jonathan D

    2009-01-01

    Following legislative directions, the Intelligence Community has been mandated to make greater use of Open Source Intelligence (OSINT). Efforts are underway to increase the use of OSINT but there are many obstacles. One of these obstacles is the lack of tools helping to manage the volume of available data and ascertain its credibility. We propose a unique system for selecting, collecting and storing Open Source data from the Web and the Open Source Center. Some data management tasks are automated, document source is retained, and metadata containing geographical coordinates are added to the documents. Analysts are thus empowered to search, view, store, and analyze Web data within a single tool. We present ORCAT I and ORCAT II, two implementations of the system.

  3. An intelligent simulation environment for control system design

    SciTech Connect

    Robinson, J.T.

    1989-01-01

    The Oak Ridge National Laboratory is currently assisting in the development of advanced control systems for the next generation of nuclear power plants. This paper presents a prototype interactive and intelligent simulation environment being developed to support this effort. The environment combines tools from the field of Artificial Intelligence; in particular object-oriented programming, a LISP programming environment, and a direct manipulation user interface; with traditional numerical methods for simulating combined continuous/discrete processes. The resulting environment is highly interactive and easy to use. Models may be created and modified quickly through a window oriented direct manipulation interface. Models may be modified at any time, even as the simulation is running, and the results observed immediately via real-time graphics. 8 refs., 3 figs.

  4. An intelligent processing environment for real-time simulation

    NASA Technical Reports Server (NTRS)

    Carroll, Chester C.; Wells, Buren Earl, Jr.

    1988-01-01

    The development of a highly efficient and thus truly intelligent processing environment for real-time general purpose simulation of continuous systems is described. Such an environment can be created by mapping the simulation process directly onto the University of Alamba's OPERA architecture. To facilitate this effort, the field of continuous simulation is explored, highlighting areas in which efficiency can be improved. Areas in which parallel processing can be applied are also identified, and several general OPERA type hardware configurations that support improved simulation are investigated. Three direct execution parallel processing environments are introduced, each of which greatly improves efficiency by exploiting distinct areas of the simulation process. These suggested environments are candidate architectures around which a highly intelligent real-time simulation configuration can be developed.

  5. E-learning environment as intelligent tutoring system

    NASA Astrophysics Data System (ADS)

    Nagyová, Ingrid

    2017-07-01

    The development of computers and artificial intelligence theory allow their application in the field of education. Intelligent tutoring systems reflect student learning styles and adapt the curriculum according to their individual needs. The building of intelligent tutoring systems requires not only the creation of suitable software, but especially the search and application of the rules enabling ICT to individually adapt the curriculum. The main idea of this paper is to attempt to specify the rules for dividing the students to systematically working students and more practically or pragmatically inclined students. The paper shows that monitoring the work of students in e-learning environment, analysis of various approaches to educational materials and correspondence assignments show different results for the defined groups of students.

  6. Intelligence

    PubMed Central

    Sternberg, Robert J.

    2012-01-01

    Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain—especially with regard to the functioning in the prefrontal cortex—and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret. PMID:22577301

  7. Intelligence.

    PubMed

    Sternberg, Robert J

    2012-03-01

    Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain-especially with regard to the functioning in the prefrontal cortex-and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret.

  8. Sonic intelligence as a virtual therapeutic environment.

    PubMed

    Tarnanas, Ioannis; Adam, Dimitrios

    2003-06-01

    This paper reports on the results of a research project, on comparing one virtual collaborative environment with a first-person visual immersion (first-perspective interaction) and a second one where the user interacts through a sound-kinetic virtual representation of himself (avatar), as a stress-coping environment in real-life situations. Recent developments in coping research are proposing a shift from a trait-oriented approach of coping to a more situation-specific treatment. We defined as real-life situation a target-oriented situation that demands a complex coping skills inventory of high self-efficacy and internal or external "locus of control" strategies. The participants were 90 normal adults with healthy or impaired coping skills, 25-40 years of age, randomly spread across two groups. There was the same number of participants across groups and gender balance within groups. All two groups went through two phases. In Phase I, Solo, one participant was assessed using a three-stage assessment inspired by the transactional stress theory of Lazarus and the stress inoculation theory of Meichenbaum. In Phase I, each participant was given a coping skills measurement within the time course of various hypothetical stressful encounters performed in two different conditions and a control group. In Condition A, the participant was given a virtual stress assessment scenario relative to a first-person perspective (VRFP). In Condition B, the participant was given a virtual stress assessment scenario relative to a behaviorally realistic motion controlled avatar with sonic feedback (VRSA). In Condition C, the No Treatment Condition (NTC), the participant received just an interview. In Phase II, all three groups were mixed and exercised the same tasks but with two participants in pairs. The results showed that the VRSA group performed notably better in terms of cognitive appraisals, emotions and attributions than the other two groups in Phase I (VRSA, 92%; VRFP, 85%; NTC, 34

  9. Robotics and artificial intelligence for hazardous environments

    SciTech Connect

    Spelt, P.F.

    1993-04-01

    In our technological society, hazardous materials including toxic chemicals, flammable, explosive, and radioactive substances, and biological agents, are used and handled routinely. Each year, many workers who handle these substances are accidently contaminated, in some cases resulting in injury, death, or chronic disabilities. If these hazardous materials could be handled remotely, either with a teleoperated robot (operated by a worker in a safe location) or by an autonomous robot, then human suffering and economic costs of accidental exposures could be dramatically reduced. At present, it is still difficult for commercial robotic technology to completely replace humans involved in performing complex work tasks in hazardous environments. The robotics efforts at the Center for Engineering Systems Advanced Research represent a significant effort at contributing to the advancement of robotics for use in hazardous environments. While this effort is very broad-based, ranging from dextrous manipulation to mobility and integrated sensing, the technical portion of this paper will focus on machine learning and the high-level decision making needed for autonomous robotics.

  10. Robotics and artificial intelligence for hazardous environments

    SciTech Connect

    Spelt, P.F.

    1993-01-01

    In our technological society, hazardous materials including toxic chemicals, flammable, explosive, and radioactive substances, and biological agents, are used and handled routinely. Each year, many workers who handle these substances are accidently contaminated, in some cases resulting in injury, death, or chronic disabilities. If these hazardous materials could be handled remotely, either with a teleoperated robot (operated by a worker in a safe location) or by an autonomous robot, then human suffering and economic costs of accidental exposures could be dramatically reduced. At present, it is still difficult for commercial robotic technology to completely replace humans involved in performing complex work tasks in hazardous environments. The robotics efforts at the Center for Engineering Systems Advanced Research represent a significant effort at contributing to the advancement of robotics for use in hazardous environments. While this effort is very broad-based, ranging from dextrous manipulation to mobility and integrated sensing, the technical portion of this paper will focus on machine learning and the high-level decision making needed for autonomous robotics.

  11. Execution environment for intelligent real-time control systems

    NASA Technical Reports Server (NTRS)

    Sztipanovits, Janos

    1987-01-01

    Modern telerobot control technology requires the integration of symbolic and non-symbolic programming techniques, different models of parallel computations, and various programming paradigms. The Multigraph Architecture, which has been developed for the implementation of intelligent real-time control systems is described. The layered architecture includes specific computational models, integrated execution environment and various high-level tools. A special feature of the architecture is the tight coupling between the symbolic and non-symbolic computations. It supports not only a data interface, but also the integration of the control structures in a parallel computing environment.

  12. Design and Implementation of an Intelligent Virtual Environment for Improving Speaking and Listening Skills

    ERIC Educational Resources Information Center

    Hassani, Kaveh; Nahvi, Ali; Ahmadi, Ali

    2016-01-01

    In this paper, we present an intelligent architecture, called intelligent virtual environment for language learning, with embedded pedagogical agents for improving listening and speaking skills of non-native English language learners. The proposed architecture integrates virtual environments into the Intelligent Computer-Assisted Language…

  13. Design and Implementation of an Intelligent Virtual Environment for Improving Speaking and Listening Skills

    ERIC Educational Resources Information Center

    Hassani, Kaveh; Nahvi, Ali; Ahmadi, Ali

    2016-01-01

    In this paper, we present an intelligent architecture, called intelligent virtual environment for language learning, with embedded pedagogical agents for improving listening and speaking skills of non-native English language learners. The proposed architecture integrates virtual environments into the Intelligent Computer-Assisted Language…

  14. Constraint, Intelligence, and Control Hierarchy in Virtual Environments. Chapter 1

    NASA Technical Reports Server (NTRS)

    Sheridan, Thomas B.

    2007-01-01

    This paper seeks to deal directly with the question of what makes virtual actors and objects that are experienced in virtual environments seem real. (The term virtual reality, while more common in public usage, is an oxymoron; therefore virtual environment is the preferred term in this paper). Reality is difficult topic, treated for centuries in those sub-fields of philosophy called ontology- "of or relating to being or existence" and epistemology- "the study of the method and grounds of knowledge, especially with reference to its limits and validity" (both from Webster s, 1965). Advances in recent decades in the technologies of computers, sensors and graphics software have permitted human users to feel present or experience immersion in computer-generated virtual environments. This has motivated a keen interest in probing this phenomenon of presence and immersion not only philosophically but also psychologically and physiologically in terms of the parameters of the senses and sensory stimulation that correlate with the experience (Ellis, 1991). The pages of the journal Presence: Teleoperators and Virtual Environments have seen much discussion of what makes virtual environments seem real (see, e.g., Slater, 1999; Slater et al. 1994; Sheridan, 1992, 2000). Stephen Ellis, when organizing the meeting that motivated this paper, suggested to invited authors that "We may adopt as an organizing principle for the meeting that the genesis of apparently intelligent interaction arises from an upwelling of constraints determined by a hierarchy of lower levels of behavioral interaction. "My first reaction was "huh?" and my second was "yeah, that seems to make sense." Accordingly the paper seeks to explain from the author s viewpoint, why Ellis s hypothesis makes sense. What is the connection of "presence" or "immersion" of an observer in a virtual environment, to "constraints" and what types of constraints. What of "intelligent interaction," and is it the intelligence of the

  15. Intelligent systems in the context of surrounding environment.

    PubMed

    Wakeling, J; Bak, P

    2001-11-01

    We investigate the behavioral patterns of a population of agents, each controlled by a simple biologically motivated neural network model, when they are set in competition against each other in the minority model of Challet and Zhang. We explore the effects of changing agent characteristics, demonstrating that crowding behavior takes place among agents of similar memory, and show how this allows unique "rogue" agents with higher memory values to take advantage of a majority population. We also show that agents' analytic capability is largely determined by the size of the intermediary layer of neurons. In the context of these results, we discuss the general nature of natural and artificial intelligence systems, and suggest intelligence only exists in the context of the surrounding environment (embodiment).

  16. Experiments with microcomputer-based artificial intelligence environments

    SciTech Connect

    Summers, E.G.; MacDonald, R.A.

    1988-11-01

    The US Geological Survey (USGS) has been experimenting with the use of relatively inexpensive microcomputers as artificial intelligence (AI) development environments. Several AI languages are available that perform fairly well on desk-top personal computers, as are low-to-medium cost expert system packages. Although performance of these systems is respectable, their speed and capacity limitations are questionable for serious earth science applications foreseen by the USGS. The most capable artificial intelligence applications currently are concentrated on what is known as the artificial intelligence computer, and include Xerox D-series, Tektronix 4400 series, Symbolics 3600, VAX, LMI, and Texas Instruments Explorer. The artificial intelligence computer runs expert system shells and Lisp, Prolog, and Smalltalk programming languages. However, these AI environments are expensive. Recently inexpensive 32-bit hardware has become available for the IBM/AT microcomputer. USGS has acquired and recently completed Beta-testing of the Golf Hill Systems 80386 Hummingboard, which runs Common Lisp on an IBM/AT microcomputer. Hummingboard appears to have the potential to overcome many of the speed/capacity limitations observed with AI-applications on standard personal computers. USGS is a Beta-test site for the Gold Hill Systems GoldWorks expert system. GoldWorks combines some high-end expert system shell capabilities in a medium-cost package. This shell is developed in Common Lisp, runs on the 80386 Hummingboard, and provides some expert system features formerly available only on AI-computers including frame and rule-based reasoning, on-line tutorial, multiple inheritance, and object-programming.

  17. Experiments with microcomputer-based artificial intelligence environments

    USGS Publications Warehouse

    Summers, E.G.; MacDonald, R.A.

    1988-01-01

    The U.S. Geological Survey (USGS) has been experimenting with the use of relatively inexpensive microcomputers as artificial intelligence (AI) development environments. Several AI languages are available that perform fairly well on desk-top personal computers, as are low-to-medium cost expert system packages. Although performance of these systems is respectable, their speed and capacity limitations are questionable for serious earth science applications foreseen by the USGS. The most capable artificial intelligence applications currently are concentrated on what is known as the "artificial intelligence computer," and include Xerox D-series, Tektronix 4400 series, Symbolics 3600, VAX, LMI, and Texas Instruments Explorer. The artificial intelligence computer runs expert system shells and Lisp, Prolog, and Smalltalk programming languages. However, these AI environments are expensive. Recently, inexpensive 32-bit hardware has become available for the IBM/AT microcomputer. USGS has acquired and recently completed Beta-testing of the Gold Hill Systems 80386 Hummingboard, which runs Common Lisp on an IBM/AT microcomputer. Hummingboard appears to have the potential to overcome many of the speed/capacity limitations observed with AI-applications on standard personal computers. USGS is a Beta-test site for the Gold Hill Systems GoldWorks expert system. GoldWorks combines some high-end expert system shell capabilities in a medium-cost package. This shell is developed in Common Lisp, runs on the 80386 Hummingboard, and provides some expert system features formerly available only on AI-computers including frame and rule-based reasoning, on-line tutorial, multiple inheritance, and object-programming. ?? 1988 International Association for Mathematical Geology.

  18. Ethnic differences in children's intelligence test scores: role of economic deprivation, home environment, and maternal characteristics.

    PubMed

    Brooks-Gunn, J; Klebanov, P K; Duncan, G J

    1996-04-01

    We examine differences in intelligence test scores of black and white 5-year-olds. The Infant Health and Development Program data set includes 483 low birthweight premature children who were assessed with the Wechsler Preschool and Primary Scale of Intelligence. These children had been followed from birth, with data on neighborhood and family poverty, family structure, family resources, maternal characteristics, and home environment collected over the first 5 years of life. Black children's IQ scores were 1 SD lower than those of white children. Adjustments for ethnic differences in poverty reduced the ethnic differential by 52%. Adjustments for maternal education and whether the head of household was female did not reduce the ethnic difference further. However, differences in home environment reduced the ethnic differential by an additional 28%. Adjustments for economic and social differences in the lives of black and white children all but eliminate differences in the IQ scores between these two groups.

  19. CESAR robotics and intelligent systems research for nuclear environments

    SciTech Connect

    Mann, R.C.

    1992-01-01

    The Center for Engineering Systems Advanced Research (CESAR) at the Oak Ridge National Laboratory (ORNL) encompasses expertise and facilities to perform basic and applied research in robotics and intelligent systems in order to address a broad spectrum of problems related to nuclear and other environments. For nuclear environments, research focus is derived from applications in advanced nuclear power stations, and in environmental restoration and waste management. Several programs at CESAR emphasize the cross-cutting technology issues, and are executed in appropriate cooperation with projects that address specific problem areas. Although the main thrust of the CESAR long-term research is on developing highly automated systems that can cooperate and function reliably in complex environments, the development of advanced human-machine interfaces represents a significant part of our research. 11 refs.

  20. CESAR robotics and intelligent systems research for nuclear environments

    SciTech Connect

    Mann, R.C.

    1992-07-01

    The Center for Engineering Systems Advanced Research (CESAR) at the Oak Ridge National Laboratory (ORNL) encompasses expertise and facilities to perform basic and applied research in robotics and intelligent systems in order to address a broad spectrum of problems related to nuclear and other environments. For nuclear environments, research focus is derived from applications in advanced nuclear power stations, and in environmental restoration and waste management. Several programs at CESAR emphasize the cross-cutting technology issues, and are executed in appropriate cooperation with projects that address specific problem areas. Although the main thrust of the CESAR long-term research is on developing highly automated systems that can cooperate and function reliably in complex environments, the development of advanced human-machine interfaces represents a significant part of our research. 11 refs.

  1. Artificial intelligence and the space station software support environment

    NASA Technical Reports Server (NTRS)

    Marlowe, Gilbert

    1986-01-01

    In a software system the size of the Space Station Software Support Environment (SSE), no one software development or implementation methodology is presently powerful enough to provide safe, reliable, maintainable, cost effective real time or near real time software. In an environment that must survive one of the most harsh and long life times, software must be produced that will perform as predicted, from the first time it is executed to the last. Many of the software challenges that will be faced will require strategies borrowed from Artificial Intelligence (AI). AI is the only development area mentioned as an example of a legitimate reason for a waiver from the overall requirement to use the Ada programming language for software development. The limits are defined of the applicability of the Ada language Ada Programming Support Environment (of which the SSE is a special case), and software engineering to AI solutions by describing a scenario that involves many facets of AI methodologies.

  2. Human Collective Intelligence under Dual Exploration-Exploitation Dilemmas

    PubMed Central

    Toyokawa, Wataru; Kim, Hye-rin; Kameda, Tatsuya

    2014-01-01

    The exploration-exploitation dilemma is a recurrent adaptive problem for humans as well as non-human animals. Given a fixed time/energy budget, every individual faces a fundamental trade-off between exploring for better resources and exploiting known resources to optimize overall performance under uncertainty. Colonies of eusocial insects are known to solve this dilemma successfully via evolved coordination mechanisms that function at the collective level. For humans and other non-eusocial species, however, this dilemma operates within individuals as well as between individuals, because group members may be motivated to take excessive advantage of others' exploratory findings through social learning. Thus, even though social learning can reduce collective exploration costs, the emergence of disproportionate “information scroungers” may severely undermine its potential benefits. We investigated experimentally whether social learning opportunities might improve the performance of human participants working on a “multi-armed bandit” problem in groups, where they could learn about each other's past choice behaviors. Results showed that, even though information scroungers emerged frequently in groups, social learning opportunities reduced total group exploration time while increasing harvesting from better options, and consequentially improved collective performance. Surprisingly, enriching social information by allowing participants to observe others' evaluations of chosen options (e.g., Amazon's 5-star rating system) in addition to choice-frequency information had a detrimental impact on performance compared to the simpler situation with only the choice-frequency information. These results indicate that humans groups can handle the fundamental “dual exploration-exploitation dilemmas” successfully, and that social learning about simple choice-frequencies can help produce collective intelligence. PMID:24755892

  3. Integrating Mission Type Orders into Operational Level Intelligence Collection

    DTIC Science & Technology

    2011-05-27

    leverage the concept of MTOs to help operational level intelligence , surveillance, and reconnaissance ( ISR ) professionals extract more performance...emergent practices or procedures pertaining to ISR MTOs need to be codified to enhance future effectiveness? Are there specific intelligence assets or...Joint Publication 2.0, Intelligence makes no mention of the term or concept . Probably the best description available today of ISR MTOs and how they

  4. Collective foraging in spatially complex nutritional environments.

    PubMed

    Lihoreau, Mathieu; Charleston, Michael A; Senior, Alistair M; Clissold, Fiona J; Raubenheimer, David; Simpson, Stephen J; Buhl, Jerome

    2017-08-19

    Nutrition impinges on virtually all aspects of an animal's life, including social interactions. Recent advances in nutritional ecology show how social animals often trade-off individual nutrition and group cohesion when foraging in simplified experimental environments. Here, we explore how the spatial structure of the nutritional landscape influences these complex collective foraging dynamics in ecologically realistic environments. We introduce an individual-based model integrating key concepts of nutritional geometry, collective animal behaviour and spatial ecology to study the nutritional behaviour of animal groups in large heterogeneous environments containing foods with different abundance, patchiness and nutritional composition. Simulations show that the spatial distribution of foods constrains the ability of individuals to balance their nutrient intake, the lowest performance being attained in environments with small isolated patches of nutritionally complementary foods. Social interactions improve individual regulatory performances when food is scarce and clumpy, but not when it is abundant and scattered, suggesting that collective foraging is favoured in some environments only. These social effects are further amplified if foragers adopt flexible search strategies based on their individual nutritional state. Our model provides a conceptual and predictive framework for developing new empirically testable hypotheses in the emerging field of social nutrition.This article is part of the themed issue 'Physiological determinants of social behaviour in animals'. © 2017 The Author(s).

  5. Environment-specific noise suppression for improved speech intelligibility by cochlear implant users.

    PubMed

    Hu, Yi; Loizou, Philipos C

    2010-06-01

    Attempts to develop noise-suppression algorithms that can significantly improve speech intelligibility in noise by cochlear implant (CI) users have met with limited success. This is partly because algorithms were sought that would work equally well in all listening situations. Accomplishing this has been quite challenging given the variability in the temporal/spectral characteristics of real-world maskers. A different approach is taken in the present study focused on the development of environment-specific noise suppression algorithms. The proposed algorithm selects a subset of the envelope amplitudes for stimulation based on the signal-to-noise ratio (SNR) of each channel. Binary classifiers, trained using data collected from a particular noisy environment, are first used to classify the mixture envelopes of each channel as either target-dominated (SNR>or=0 dB) or masker-dominated (SNR<0 dB). Only target-dominated channels are subsequently selected for stimulation. Results with CI listeners indicated substantial improvements (by nearly 44 percentage points at 5 dB SNR) in intelligibility with the proposed algorithm when tested with sentences embedded in three real-world maskers. The present study demonstrated that the environment-specific approach to noise reduction has the potential to restore speech intelligibility in noise to a level near to that attained in quiet.

  6. Intelligent tutoring in the spacecraft command/control environment

    NASA Technical Reports Server (NTRS)

    Truszkowski, Walter F.

    1988-01-01

    The spacecraft command/control environment is becoming increasingly complex. As we enter the era of Space Station and the era of more highly automated systems, it is evident that the critical roles played by operations personnel in supervising the many required control center system components is becoming more cognitively demanding. In addition, the changing and emerging roles in the operations picture have far-reaching effects on the achievement of mission objectives. Thus highly trained and competent operations personnel are mandatory for success. Keeping pace with these developments has been computer-aided instruction utilizing various artificial intelligence technologies. The impacts of this growing capability on the stringent requirements for efficient and effective control center operations personnel is an area of much concentrated study. Some of the research and development of automated tutoring systems for the spacecraft command/control environment is addressed.

  7. INTELLIGENCE SUPPORT TO JOINT TARGETING IN THE A2/AD ENVIRONMENT

    DTIC Science & Technology

    2016-02-10

    AIR WAR COLLEGE AIR UNIVERSITY INTELLIGENCE SUPPORT TO JOINT TARGETING IN THE A2/AD ENVIRONMENT by Philip O. Warlick, II, Lt Col...both from Southwestern Baptist Theological Seminary. Lt Col Warlick is a career intelligence officer with over eight years of active duty experience...Staff, 301st Fighter Wing, USPACOM Joint Intelligence Operations Center, 36th Intelligence Squadron, and 2nd Bomb Wing. In his civilian capacity, Lt

  8. Criticality triggers the emergence of collective intelligence in groups

    NASA Astrophysics Data System (ADS)

    De Vincenzo, Ilario; Giannoccaro, Ilaria; Carbone, Giuseppe; Grigolini, Paolo

    2017-08-01

    A spinlike model mimicking human behavior in groups is employed to investigate the dynamics of the decision-making process. Within the model, the temporal evolution of the state of systems is governed by a time-continuous Markov chain. The transition rates of the resulting master equation are defined in terms of the change of interaction energy between the neighboring agents (change of the level of conflict) and the change of a locally defined agent fitness. Three control parameters can be identified: (i) the social interaction strength β J measured in units of social temperature, (ii) the level of confidence β' that each individual has on his own expertise, and (iii) the level of knowledge p that identifies the expertise of each member. Based on these three parameters, the phase diagrams of the system show that a critical transition front exists where a sharp and concurrent change in fitness and consensus takes place. We show that at the critical front, the information leakage from the fitness landscape to the agents is maximized. This event triggers the emergence of the collective intelligence of the group, and in the end it leads to a dramatic improvement in the decision-making performance of the group. The effect of size M of the system is also investigated, showing that, depending on the value of the control parameters, increasing M may be either beneficial or detrimental.

  9. A multi-agent intelligent environment for medical knowledge.

    PubMed

    Vicari, Rosa M; Flores, Cecilia D; Silvestre, André M; Seixas, Louise J; Ladeira, Marcelo; Coelho, Helder

    2003-03-01

    AMPLIA is a multi-agent intelligent learning environment designed to support training of diagnostic reasoning and modelling of domains with complex and uncertain knowledge. AMPLIA focuses on the medical area. It is a system that deals with uncertainty under the Bayesian network approach, where learner-modelling tasks will consist of creating a Bayesian network for a problem the system will present. The construction of a network involves qualitative and quantitative aspects. The qualitative part concerns the network topology, that is, causal relations among the domain variables. After it is ready, the quantitative part is specified. It is composed of the distribution of conditional probability of the variables represented. A negotiation process (managed by an intelligent MediatorAgent) will treat the differences of topology and probability distribution between the model the learner built and the one built-in in the system. That negotiation process occurs between the agents that represent the expert knowledge domain (DomainAgent) and the agent that represents the learner knowledge (LearnerAgent).

  10. Speech intelligibility in complex acoustic environments in young children

    NASA Astrophysics Data System (ADS)

    Litovsky, Ruth

    2003-04-01

    While the auditory system undergoes tremendous maturation during the first few years of life, it has become clear that in complex scenarios when multiple sounds occur and when echoes are present, children's performance is significantly worse than their adult counterparts. The ability of children (3-7 years of age) to understand speech in a simulated multi-talker environment and to benefit from spatial separation of the target and competing sounds was investigated. In these studies, competing sources vary in number, location, and content (speech, modulated or unmodulated speech-shaped noise and time-reversed speech). The acoustic spaces were also varied in size and amount of reverberation. Finally, children with chronic otitis media who received binaural training were tested pre- and post-training on a subset of conditions. Results indicated the following. (1) Children experienced significantly more masking than adults, even in the simplest conditions tested. (2) When the target and competing sounds were spatially separated speech intelligibility improved, but the amount varied with age, type of competing sound, and number of competitors. (3) In a large reverberant classroom there was no benefit of spatial separation. (4) Binaural training improved speech intelligibility performance in children with otitis media. Future work includes similar studies in children with unilateral and bilateral cochlear implants. [Work supported by NIDCD, DRF, and NOHR.

  11. High Temperature Electronics for Intelligent Harsh Environment Sensors

    NASA Technical Reports Server (NTRS)

    Evans, Laura J.

    2008-01-01

    The development of intelligent instrumentation systems is of high interest in both public and private sectors. In order to obtain this ideal in extreme environments (i.e., high temperature, extreme vibration, harsh chemical media, and high radiation), both sensors and electronics must be developed concurrently in order that the entire system will survive for extended periods of time. The semiconductor silicon carbide (SiC) has been studied for electronic and sensing applications in extreme environment that is beyond the capability of conventional semiconductors such as silicon. The advantages of SiC over conventional materials include its near inert chemistry, superior thermomechanical properties in harsh environments, and electronic properties that include high breakdown voltage and wide bandgap. An overview of SiC sensors and electronics work ongoing at NASA Glenn Research Center (NASA GRC) will be presented. The main focus will be two technologies currently being investigated: 1) harsh environment SiC pressure transducers and 2) high temperature SiC electronics. Work highlighted will include the design, fabrication, and application of SiC sensors and electronics, with recent advancements in state-of-the-art discussed as well. These combined technologies are studied for the goal of developing advanced capabilities for measurement and control of aeropropulsion systems, as well as enhancing tools for exploration systems.

  12. Algorithmic requirements for swarm intelligence in differently coupled collective systems

    PubMed Central

    Stradner, Jürgen; Thenius, Ronald; Zahadat, Payam; Hamann, Heiko; Crailsheim, Karl; Schmickl, Thomas

    2013-01-01

    Swarm systems are based on intermediate connectivity between individuals and dynamic neighborhoods. In natural swarms self-organizing principles bring their agents to that favorable level of connectivity. They serve as interesting sources of inspiration for control algorithms in swarm robotics on the one hand, and in modular robotics on the other hand. In this paper we demonstrate and compare a set of bio-inspired algorithms that are used to control the collective behavior of swarms and modular systems: BEECLUST, AHHS (hormone controllers), FGRN (fractal genetic regulatory networks), and VE (virtual embryogenesis). We demonstrate how such bio-inspired control paradigms bring their host systems to a level of intermediate connectivity, what delivers sufficient robustness to these systems for collective decentralized control. In parallel, these algorithms allow sufficient volatility of shared information within these systems to help preventing local optima and deadlock situations, this way keeping those systems flexible and adaptive in dynamic non-deterministic environments. PMID:23805030

  13. Collective intelligence for translational medicine: Crowdsourcing insights and innovation from an interdisciplinary biomedical research community.

    PubMed

    Budge, Eleanor Jane; Tsoti, Sandra Maria; Howgate, Daniel James; Sivakumar, Shivan; Jalali, Morteza

    2015-01-01

    Translational medicine bridges the gap between discoveries in biomedical science and their safe and effective clinical application. Despite the gross opportunity afforded by modern research for unparalleled advances in this field, the process of translation remains protracted. Efforts to expedite science translation have included the facilitation of interdisciplinary collaboration within both academic and clinical environments in order to generate integrated working platforms fuelling the sharing of knowledge, expertise, and tools to align biomedical research with clinical need. However, barriers to scientific translation remain, and further progress is urgently required. Collective intelligence and crowdsourcing applications offer the potential for global online networks, allowing connection and collaboration between a wide variety of fields. This would drive the alignment of biomedical science with biotechnology, clinical need, and patient experience, in order to deliver evidence-based innovation which can revolutionize medical care worldwide. Here we discuss the critical steps towards implementing collective intelligence in translational medicine using the experience of those in other fields of science and public health.

  14. Intelligibility Performance of the LPC-10 and APC/SQ Speech Algorithms in a Fading Environment.

    DTIC Science & Technology

    1985-02-26

    Conditions ----------------------------- 26 3 INTELLIGIBILITY TEST RESULTS --------------------- 29 3.1 Overview ------------------------------------ 29 3.2...ideal conditions , this study needed to use a new approach to more characteristically describe the algorithms’ performance in a fading environment. As...evaluating the performance in fading environments. 3. Conducting a series of intelligibility tests in a variety of noise and fading conditions . For LPC-10

  15. Swarm intelligence in fish? The difficulty in demonstrating distributed and self-organised collective intelligence in (some) animal groups.

    PubMed

    Ioannou, Christos C

    2016-10-11

    Larger groups often have a greater ability to solve cognitive tasks compared to smaller ones or lone individuals. This is well established in social insects, navigating flocks of birds, and in groups of prey collectively vigilant for predators. Research in social insects has convincingly shown that improved cognitive performance can arise from self-organised local interactions between individuals that integrates their contributions, often referred to as swarm intelligence. This emergent collective intelligence has gained in popularity and been directly applied to groups of other animals, including fish. Despite being a likely mechanism at least partially explaining group performance in vertebrates, I argue here that other possible explanations are rarely ruled out in empirical studies. Hence, evidence for self-organised collective (or 'swarm') intelligence in fish is not as strong as it would first appear. These other explanations, the 'pool-of-competence' and the greater cognitive ability of individuals when in larger groups, are also reviewed. Also discussed is why improved group performance in general may be less often observed in animals such as shoaling fish compared to social insects. This review intends to highlight the difficulties in exploring collective intelligence in animal groups, ideally leading to further empirical work to illuminate these issues.

  16. All-source Information Management and Integration for Improved Collective Intelligence Production

    DTIC Science & Technology

    2011-06-01

    Management and Integration for Improved Collective Intelligence Production Anne-Claire Boury-Brisset, Anissa Frini, Réjean Lebrun Defence R&D Canada...00-2011 4. TITLE AND SUBTITLE All-source Information Management and Integration for Improved Collective Intelligence Production 5a. CONTRACT...and open sources provided in disparate multimedia formats and distributed across different systems. Further research is required for enhanced management

  17. Smart displays in intelligent environments: a vision for Europe 2007+

    NASA Astrophysics Data System (ADS)

    Maiser, Eric

    2005-07-01

    Future electronic systems will create "ambient intelligence": environments that recognise us, applications which can be used intuitively. Displays will always be a key part of such systems, because visual information provides a densely packed fast link to our brain. European researchers and suppliers are global drivers in display innovation - on the other hand Europe is a major influence on the market for display applications. However, today displays are produced in Asia, European research and development is scattered, and lacks both collaboration and a strong production base. That is why adria, a European network for the displays community, has been formed: Its goal is to substantially enhance the standing of the displays industry in Europe by creating a common knowledge base, by generating a common vision for a display future in Europe and by establishing appreciated services for a future association that will serve as a "one-stop-shop" for the community. To effectively start the discussion, a vision paper1 has been compiled including inputs from 95 individuals from 17 European countries. It describes the state displays research and industry are in today and estimates future developments displays will take towards intelligent systems in the next decade and beyond. Recommendations are made to reinforce the displays industry in a sustainable way building on existing strengths in research, as well as in the materials and equipment sectors. The adria network, its roadmapping approach as well as key projections and findings of the vision paper are described here, going beyond the topic of Organic Light Emitting Diodes alone.

  18. Prior exposure to a reverberant listening environment improves speech intelligibility in adult cochlear implant listeners.

    PubMed

    Srinivasan, Nirmal Kumar; Tobey, Emily A; Loizou, Philipos C

    2016-01-01

    The goal of this study is to investigate whether prior exposure to reverberant listening environment improves speech intelligibility of adult cochlear implant (CI) users. Six adult CI users participated in this study. Speech intelligibility was measured in five different simulated reverberant listening environments with two different speech corpuses. Within each listening environment, prior exposure was varied by either having the same environment across all trials (blocked presentation) or having different environment from trial to trial (unblocked). Speech intelligibility decreased as reverberation time increased. Although substantial individual variability was observed, all CI listeners showed an increase in the blocked presentation condition as compared to the unblocked presentation condition for both speech corpuses. Prior listening exposure to a reverberant listening environment improves speech intelligibility in adult CI listeners. Further research is required to understand the underlying mechanism of adaptation to listening environment.

  19. Intelligent Agents for Design and Synthesis Environments: My Summary

    NASA Technical Reports Server (NTRS)

    Norvig, Peter

    1999-01-01

    This presentation gives a summary of intelligent agents for design synthesis environments. We'll start with the conclusions, and work backwards to justify them. First, an important assumption is that agents (whatever they are) are good for software engineering. This is especially true for software that operates in an uncertain, changing environment. The "real world" of physical artifacts is like that: uncertain in what we can measure, changing in that things are always breaking down, and we must interact with non-software entities. The second point is that software engineering techniques can contribute to good design. There may have been a time when we wanted to build simple artifacts containing little or no software. But modern aircraft and spacecraft are complex, and rely on a great deal of software. So better software engineering leads to better designed artifacts, especially when we are designing a series of related artifacts and can amortize the costs of software development. The third point is that agents are especially useful for design tasks, above and beyond their general usefulness for software engineering, and the usefulness of software engineering to design.

  20. Intelligent Agents for Design and Synthesis Environments: My Summary

    NASA Technical Reports Server (NTRS)

    Norvig, Peter

    1999-01-01

    This presentation gives a summary of intelligent agents for design synthesis environments. We'll start with the conclusions, and work backwards to justify them. First, an important assumption is that agents (whatever they are) are good for software engineering. This is especially true for software that operates in an uncertain, changing environment. The "real world" of physical artifacts is like that: uncertain in what we can measure, changing in that things are always breaking down, and we must interact with non-software entities. The second point is that software engineering techniques can contribute to good design. There may have been a time when we wanted to build simple artifacts containing little or no software. But modern aircraft and spacecraft are complex, and rely on a great deal of software. So better software engineering leads to better designed artifacts, especially when we are designing a series of related artifacts and can amortize the costs of software development. The third point is that agents are especially useful for design tasks, above and beyond their general usefulness for software engineering, and the usefulness of software engineering to design.

  1. OPUS One: An Intelligent Adaptive Learning Environment Using Artificial Intelligence Support

    NASA Astrophysics Data System (ADS)

    Pedrazzoli, Attilio

    2010-06-01

    AI based Tutoring and Learning Path Adaptation are well known concepts in e-Learning scenarios today and increasingly applied in modern learning environments. In order to gain more flexibility and to enhance existing e-learning platforms, the OPUS One LMS Extension package will enable a generic Intelligent Tutored Adaptive Learning Environment, based on a holistic Multidimensional Instructional Design Model (PENTHA ID Model), allowing AI based tutoring and adaptation functionality to existing Web-based e-learning systems. Relying on "real time" adapted profiles, it allows content- / course authors to apply a dynamic course design, supporting tutored, collaborative sessions and activities, as suggested by modern pedagogy. The concept presented combines a personalized level of surveillance, learning activity- and learning path adaptation suggestions to ensure the students learning motivation and learning success. The OPUS One concept allows to implement an advanced tutoring approach combining "expert based" e-tutoring with the more "personal" human tutoring function. It supplies the "Human Tutor" with precise, extended course activity data and "adaptation" suggestions based on predefined subject matter rules. The concept architecture is modular allowing a personalized platform configuration.

  2. Incomplete Intelligence: Is the Information Sharing Environment an Effective Platform?

    DTIC Science & Technology

    2012-09-01

    faced by intelligence analysts, who must sort through “enormous volumes of data” to combine seemingly unrelated events to develop intelligence...Zikopoulos, P. (2012). Understanding big data: Analytics for enterprise class hadoop and streaming data. New York: McGraw-Hill. 72 THIS PAGE INTENTIONALLY

  3. Developing Intelligent Transportation Systems in an Integrated Systems Analysis Environment

    SciTech Connect

    Aceves, S M; Paddack, E

    2002-01-15

    We are working on developing an Integrated Systems Analysis Environment (ISAE) for application to analysis and optimization of Intelligent Transportation Systems (ITS). ISAE is based on the concept of Co-simulation, which allows the modeling of complex systems with extreme flexibility. Co-simulation allows the development of virtual ITS systems that can be analyzed and optimized as an overall integrated system. The virtual ITS system is defined by selecting different components from a component library. System component models can be written in multiple programming languages running on different computer platforms. At the same time, ISAE provides full protection for proprietary models. Co-simulation is a cost-effective alternative to competing methodologies, such as developing a translator or selecting a single programming language for all system components. Co-simulation has been recently demonstrated using an example of an automotive system. The demonstration was successfully performed. The paper describes plans on how to implement ISAE and Co-simulation to ITS, and the great advantages that this implementation would represent.

  4. Connecting Multiple Intelligences through Open and Distance Learning: Going towards a Collective Intelligence?

    ERIC Educational Resources Information Center

    Medeiros Vieira, Leandro Mauricio; Ferasso, Marcos; Schröeder, Christine da Silva

    2014-01-01

    This theoretical essay is a learning approach reflexion on Howard Gardner's Theory of Multiple Intelligences and the possibilities provided by the education model known as open and distance learning. Open and distance learning can revolutionize traditional pedagogical practice, meeting the needs of those who have different forms of cognitive…

  5. Evaluation of Intelligent Grouping Based on Learners' Collaboration Competence Level in Online Collaborative Learning Environment

    ERIC Educational Resources Information Center

    Muuro, Maina Elizaphan; Oboko, Robert; Wagacha, Waiganjo Peter

    2016-01-01

    In this paper we explore the impact of an intelligent grouping algorithm based on learners' collaborative competency when compared with (a) instructor based Grade Point Average (GPA) method level and (b) random method, on group outcomes and group collaboration problems in an online collaborative learning environment. An intelligent grouping…

  6. MESA: An Interactive Modeling and Simulation Environment for Intelligent Systems Automation

    NASA Technical Reports Server (NTRS)

    Charest, Leonard

    1994-01-01

    This report describes MESA, a software environment for creating applications that automate NASA mission opterations. MESA enables intelligent automation by utilizing model-based reasoning techniques developed in the field of Artificial Intelligence. Model-based reasoning techniques are realized in Mesa through native support of causal modeling and discrete event simulation.

  7. Evidence for a collective intelligence factor in the performance of human groups.

    PubMed

    Woolley, Anita Williams; Chabris, Christopher F; Pentland, Alex; Hashmi, Nada; Malone, Thomas W

    2010-10-29

    Psychologists have repeatedly shown that a single statistical factor--often called "general intelligence"--emerges from the correlations among people's performance on a wide variety of cognitive tasks. But no one has systematically examined whether a similar kind of "collective intelligence" exists for groups of people. In two studies with 699 people, working in groups of two to five, we find converging evidence of a general collective intelligence factor that explains a group's performance on a wide variety of tasks. This "c factor" is not strongly correlated with the average or maximum individual intelligence of group members but is correlated with the average social sensitivity of group members, the equality in distribution of conversational turn-taking, and the proportion of females in the group.

  8. Self-organized flexible leadership promotes collective intelligence in human groups

    PubMed Central

    Kurvers, Ralf H. J. M.; Wolf, Max; Naguib, Marc; Krause, Jens

    2015-01-01

    Collective intelligence refers to the ability of groups to outperform individual decision-makers. At present, relatively little is known about the mechanisms promoting collective intelligence in natural systems. We here test a novel mechanism generating collective intelligence: self-organization according to information quality. We tested this mechanism by performing simulated predator detection experiments using human groups. By continuously tracking the personal information of all members prior to collective decisions, we found that individuals adjusted their response time during collective decisions to the accuracy of their personal information. When individuals possessed accurate personal information, they decided quickly during collective decisions providing accurate information to the other group members. By contrast, when individuals had inaccurate personal information, they waited longer, allowing them to use social information before making a decision. Individuals deciding late during collective decisions had an increased probability of changing their decision leading to increased collective accuracy. Our results thus show that groups can self-organize according to the information accuracy of their members, thereby promoting collective intelligence. Interestingly, we find that individuals flexibly acted both as leader and as follower depending on the quality of their personal information at any particular point in time. PMID:27019718

  9. Self-organized flexible leadership promotes collective intelligence in human groups.

    PubMed

    Kurvers, Ralf H J M; Wolf, Max; Naguib, Marc; Krause, Jens

    2015-12-01

    Collective intelligence refers to the ability of groups to outperform individual decision-makers. At present, relatively little is known about the mechanisms promoting collective intelligence in natural systems. We here test a novel mechanism generating collective intelligence: self-organization according to information quality. We tested this mechanism by performing simulated predator detection experiments using human groups. By continuously tracking the personal information of all members prior to collective decisions, we found that individuals adjusted their response time during collective decisions to the accuracy of their personal information. When individuals possessed accurate personal information, they decided quickly during collective decisions providing accurate information to the other group members. By contrast, when individuals had inaccurate personal information, they waited longer, allowing them to use social information before making a decision. Individuals deciding late during collective decisions had an increased probability of changing their decision leading to increased collective accuracy. Our results thus show that groups can self-organize according to the information accuracy of their members, thereby promoting collective intelligence. Interestingly, we find that individuals flexibly acted both as leader and as follower depending on the quality of their personal information at any particular point in time.

  10. Examining the Relationship between Collective Teacher Efficacy and the Emotional Intelligence of Elementary School Principals

    ERIC Educational Resources Information Center

    Pierce, Stephanie

    2014-01-01

    Education research has established a significant relationship between collective teacher efficacy and student achievement. This study considered the relationship between emotional intelligence of elementary school principals and collective teacher efficacy as perceived by teachers' and principals' self-report. Study findings suggest that…

  11. The magic of collective emotional intelligence in learning groups: No guys needed for the spell!

    PubMed

    Curşeu, Petru L; Pluut, Helen; Boroş, Smaranda; Meslec, Nicoleta

    2015-05-01

    Using a cross-lagged design, the present study tests an integrative model of emergent collective emotions in learning groups. Our results indicate that the percentage of women in the group fosters the emergence of collective emotional intelligence, which in turn stimulates social integration within groups (increases group cohesion and reduces relationship conflict) and the associated affective similarity, with beneficial effects for group effectiveness.

  12. Examining the Relationship between Collective Teacher Efficacy and the Emotional Intelligence of Elementary School Principals

    ERIC Educational Resources Information Center

    Pierce, Stephanie

    2014-01-01

    Education research has established a significant relationship between collective teacher efficacy and student achievement. This study considered the relationship between emotional intelligence of elementary school principals and collective teacher efficacy as perceived by teachers' and principals' self-report. Study findings suggest that…

  13. Proceedings of the 1993 Conference on Intelligent Computer-Aided Training and Virtual Environment Technology

    NASA Technical Reports Server (NTRS)

    Hyde, Patricia R.; Loftin, R. Bowen

    1993-01-01

    The volume 2 proceedings from the 1993 Conference on Intelligent Computer-Aided Training and Virtual Environment Technology are presented. Topics discussed include intelligent computer assisted training (ICAT) systems architectures, ICAT educational and medical applications, virtual environment (VE) training and assessment, human factors engineering and VE, ICAT theory and natural language processing, ICAT military applications, VE engineering applications, ICAT knowledge acquisition processes and applications, and ICAT aerospace applications.

  14. Business Intelligence: The Smart Way to Track Academic Collections

    ERIC Educational Resources Information Center

    Kelly, Debra

    2005-01-01

    University collections are a vital source of knowledge for researchers and often a source of pride for universities. Without an effective way to manage and query them, however, collections often go underutilized. Parts of a collection can remain untapped for years, and the larger it grows, the more difficult management becomes. Unfortunately,…

  15. Business Intelligence: The Smart Way to Track Academic Collections

    ERIC Educational Resources Information Center

    Kelly, Debra

    2005-01-01

    University collections are a vital source of knowledge for researchers and often a source of pride for universities. Without an effective way to manage and query them, however, collections often go underutilized. Parts of a collection can remain untapped for years, and the larger it grows, the more difficult management becomes. Unfortunately,…

  16. Collective behaviour and swarm intelligence in slime moulds.

    PubMed

    Reid, Chris R; Latty, Tanya

    2016-11-01

    The study of collective behaviour aims to understand how individual-level behaviours can lead to complex group-level patterns. Collective behaviour has primarily been studied in animal groups such as colonies of insects, flocks of birds and schools of fish. Although less studied, collective behaviour also occurs in microorganisms. Here, we argue that slime moulds are powerful model systems for solving several outstanding questions in collective behaviour. In particular, slime mould may hold the key to linking individual-level mechanisms to colony-level behaviours. Using well-established principles of collective animal behaviour as a framework, we discuss the extent to which slime mould collectives are comparable to animal groups, and we highlight some potentially fruitful areas for future research.

  17. Collective behaviour and swarm intelligence in slime moulds.

    PubMed

    Reid, Chris R; Latty, Tanya

    2016-08-29

    The study of collective behaviour aims to understand how individual-level behaviours can lead to complex group-level patterns. Collective behaviour has primarily been studied in animal groups such as colonies of insects, flocks of birds and schools of fish. Although less studied, collective behaviour also occurs in microorganisms. Here, we argue that slime moulds are powerful model systems for solving several outstanding questions in collective behaviour. In particular, slime mould may hold the key to linking individual-level mechanisms to colony-level behaviours. Using well-established principles of collective animal behaviour as a framework, we discuss the extent to which slime mould collectives are comparable to animal groups, and we highlight some potentially fruitful areas for future research.

  18. Unattended Ground Sensors for Expeditionary Force 21 Intelligence Collections

    DTIC Science & Technology

    2015-06-01

    experience in ground reconnaissance and working in or with small sized elements isolated in non-permissive environments . With a focus on leadership...public release; distribution is unlimited 12b. DISTRIBUTION CODE 13. ABSTRACT (maximum 200 words ) As our adversaries continue to evolve in...UGS) limit usage in non-permissive environments beyond the Area of Operations, contrary to the new demands of EF 21. UGS shortfalls include the

  19. Multiple Intelligences to Promote Metacognition in the Online Learning Environment

    ERIC Educational Resources Information Center

    Stewart, Daniel P.

    2013-01-01

    This representative embedded study embraced hermeneutic qualitative methods and was grounded in the constructivist paradigm. The study explored how Howard Gardner's Theory of Multiple Intelligences (MI), promoted metacognition leading to self-efficacy in online learning. The number of colleges offering online courses has grown tremendously,…

  20. Towards an Intelligent Planning Knowledge Base Development Environment

    NASA Technical Reports Server (NTRS)

    Chien, S.

    1994-01-01

    ract describes work in developing knowledge base editing and debugging tools for the Multimission VICAR Planner (MVP) system. MVP uses artificial intelligence planning techniques to automatically construct executable complex image processing procedures (using models of the smaller constituent image processing requests made to the JPL Multimission Image Processing Laboratory.

  1. Multiple Intelligences to Promote Metacognition in the Online Learning Environment

    ERIC Educational Resources Information Center

    Stewart, Daniel P.

    2013-01-01

    This representative embedded study embraced hermeneutic qualitative methods and was grounded in the constructivist paradigm. The study explored how Howard Gardner's Theory of Multiple Intelligences (MI), promoted metacognition leading to self-efficacy in online learning. The number of colleges offering online courses has grown tremendously,…

  2. Authoring Tools for Collaborative Intelligent Tutoring System Environments

    ERIC Educational Resources Information Center

    Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol; Sewall, Jonathan; Ringenberg, Michael

    2014-01-01

    Authoring tools have been shown to decrease the amount of time and resources needed for the development of Intelligent Tutoring Systems (ITSs). Although collaborative learning has been shown to be beneficial to learning, most of the current authoring tools do not support the development of collaborative ITSs. In this paper, we discuss an extension…

  3. Authoring Tools for Collaborative Intelligent Tutoring System Environments

    ERIC Educational Resources Information Center

    Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol; Sewall, Jonathan; Ringenberg, Michael

    2014-01-01

    Authoring tools have been shown to decrease the amount of time and resources needed for the development of Intelligent Tutoring Systems (ITSs). Although collaborative learning has been shown to be beneficial to learning, most of the current authoring tools do not support the development of collaborative ITSs. In this paper, we discuss an extension…

  4. Modern science: a case of collective intelligence? On the role of thought economy and gratifying attention in knowledge production.

    PubMed

    Franck, Georg

    2012-07-16

    Your attention please: Phenomenal conciousness, that is, how something feels, does not exist for an observer. As science relies on observations, it is not aware of the nature of subjectivity and thus science is not often defined as a collective intelligence. In this Essay, the roles of intelligence and attention are discussed, as well as an analysis of scientific communication and citation, in order to evaluate whether science is a case of collective intelligence.

  5. Optical Communication System for Remote Monitoring and Adaptive Control of Distributed Ground Sensors Exhibiting Collective Intelligence

    SciTech Connect

    Cameron, S.M.; Stantz, K.M.; Trahan, M.W.; Wagner, J.S.

    1998-11-01

    Comprehensive management of the battle-space has created new requirements in information management, communication, and interoperability as they effect surveillance and situational awareness. The objective of this proposal is to expand intelligent controls theory to produce a uniquely powerful implementation of distributed ground-based measurement incorporating both local collective behavior, and interoperative global optimization for sensor fusion and mission oversight. By using a layered hierarchal control architecture to orchestrate adaptive reconfiguration of autonomous robotic agents, we can improve overall robustness and functionality in dynamic tactical environments without information bottlenecks. In this concept, each sensor is equipped with a miniaturized optical reflectance modulator which is interactively monitored as a remote transponder using a covert laser communication protocol from a remote mothership or operative. Robot data-sharing at the ground level can be leveraged with global evaluation criteria, including terrain overlays and remote imaging data. Information sharing and distributed intelli- gence opens up a new class of remote-sensing applications in which small single-function autono- mous observers at the local level can collectively optimize and measure large scale ground-level signals. AS the need for coverage and the number of agents grows to improve spatial resolution, cooperative behavior orchestrated by a global situational awareness umbrella will be an essential ingredient to offset increasing bandwidth requirements within the net. A system of the type described in this proposal will be capable of sensitively detecting, tracking, and mapping spatial distributions of measurement signatures which are non-stationary or obscured by clutter and inter- fering obstacles by virtue of adaptive reconfiguration. This methodology could be used, for example, to field an adaptive ground-penetrating radar for detection of underground structures in

  6. Interview with Pierre A. Lévy, French Philosopher of Collective Intelligence

    ERIC Educational Resources Information Center

    Peters, Michael A.

    2015-01-01

    This article features an interview with Pierre A. Lévy, Professor in the Department of Communication, University of Ottawa, Canada. He occupies the Canada Research Chair in Collective Intelligence where he is engaged in research on the design of a universal system for semantic addressing of digital documents. He completed his MA at the Sorbonne…

  7. Interview with Pierre A. Lévy, French Philosopher of Collective Intelligence

    ERIC Educational Resources Information Center

    Peters, Michael A.

    2015-01-01

    This article features an interview with Pierre A. Lévy, Professor in the Department of Communication, University of Ottawa, Canada. He occupies the Canada Research Chair in Collective Intelligence where he is engaged in research on the design of a universal system for semantic addressing of digital documents. He completed his MA at the Sorbonne…

  8. Multimodal Interaction in Ambient Intelligence Environments Using Speech, Localization and Robotics

    ERIC Educational Resources Information Center

    Galatas, Georgios

    2013-01-01

    An Ambient Intelligence Environment is meant to sense and respond to the presence of people, using its embedded technology. In order to effectively sense the activities and intentions of its inhabitants, such an environment needs to utilize information captured from multiple sensors and modalities. By doing so, the interaction becomes more natural…

  9. Multimodal Interaction in Ambient Intelligence Environments Using Speech, Localization and Robotics

    ERIC Educational Resources Information Center

    Galatas, Georgios

    2013-01-01

    An Ambient Intelligence Environment is meant to sense and respond to the presence of people, using its embedded technology. In order to effectively sense the activities and intentions of its inhabitants, such an environment needs to utilize information captured from multiple sensors and modalities. By doing so, the interaction becomes more natural…

  10. Agent Prompts: Scaffolding for Productive Reflection in an Intelligent Learning Environment

    ERIC Educational Resources Information Center

    Wu, Longkai; Looi, Chee-Kit

    2012-01-01

    Recent research has emphasized the importance of reflection for students in intelligent learning environments. This study tries to investigate whether agent prompts, acting as scaffolding, can promote students' reflection when they act as tutor through teaching the agent tutee in a learning-by-teaching environment. Two types of agent prompts are…

  11. ROADS: An Environment for Developing Automated Intelligent Agents To Support Distance Learning.

    ERIC Educational Resources Information Center

    Wesley, Leonard P.; Shim, Simon S. Y.; Booth, Robert P.; Atreya, Shreemathi D.

    1999-01-01

    Discusses intelligent agent development environments and distance learning environments, and describes ROADS (Real-time Object-oriented Agent Development System) that has been developed and used to manage the acquisition and presentation of multimedia information in distance learning. Explains a theory of objects and gives a distance learning…

  12. Low Power Multi-Hop Networking Analysis in Intelligent Environments.

    PubMed

    Etxaniz, Josu; Aranguren, Gerardo

    2017-05-19

    Intelligent systems are driven by the latest technological advances in many different areas such as sensing, embedded systems, wireless communications or context recognition. This paper focuses on some of those areas. Concretely, the paper deals with wireless communications issues in embedded systems. More precisely, the paper combines the multi-hop networking with Bluetooth technology and a quality of service (QoS) metric, the latency. Bluetooth is a radio license-free worldwide communication standard that makes low power multi-hop wireless networking available. It establishes piconets (point-to-point and point-to-multipoint links) and scatternets (multi-hop networks). As a result, many Bluetooth nodes can be interconnected to set up ambient intelligent networks. Then, this paper presents the results of the investigation on multi-hop latency with park and sniff Bluetooth low power modes conducted over the hardware test bench previously implemented. In addition, the empirical models to estimate the latency of multi-hop communications over Bluetooth Asynchronous Connectionless Links (ACL) in park and sniff mode are given. The designers of devices and networks for intelligent systems will benefit from the estimation of the latency in Bluetooth multi-hop communications that the models provide.

  13. Low Power Multi-Hop Networking Analysis in Intelligent Environments

    PubMed Central

    Etxaniz, Josu; Aranguren, Gerardo

    2017-01-01

    Intelligent systems are driven by the latest technological advances in many different areas such as sensing, embedded systems, wireless communications or context recognition. This paper focuses on some of those areas. Concretely, the paper deals with wireless communications issues in embedded systems. More precisely, the paper combines the multi-hop networking with Bluetooth technology and a quality of service (QoS) metric, the latency. Bluetooth is a radio license-free worldwide communication standard that makes low power multi-hop wireless networking available. It establishes piconets (point-to-point and point-to-multipoint links) and scatternets (multi-hop networks). As a result, many Bluetooth nodes can be interconnected to set up ambient intelligent networks. Then, this paper presents the results of the investigation on multi-hop latency with park and sniff Bluetooth low power modes conducted over the hardware test bench previously implemented. In addition, the empirical models to estimate the latency of multi-hop communications over Bluetooth Asynchronous Connectionless Links (ACL) in park and sniff mode are given. The designers of devices and networks for intelligent systems will benefit from the estimation of the latency in Bluetooth multi-hop communications that the models provide. PMID:28534847

  14. THE BUILT ENVIRONMENT AND COLLECTIVE EFFICACY

    PubMed Central

    Cohen, Deborah A; Inagami, Sanae; Finch, Brian

    2009-01-01

    Collective efficacy, or perception of mutual trust and willingness to help each other, is a measure of neighborhood social capital and has been associated with positive health outcomes including lower rates of assaults, homicide, premature mortality, and asthma. Collective efficacy is frequently considered a “cause”, but we hypothesized that environmental features might be the foundation for, or the etiology of personal reports of neighborhood collective efficacy. We analyzed data from the Los Angeles Family and Neighborhood Study (LA FANS) together with geographical data from Los Angeles County to determine which social and environmental features were associated with personal reports of collective efficacy, including presence of parks, alcohol outlets, elementary schools and fast food outlets. We used multi-level modeling controlling for age, education, annual family income, sex, marital status, employment and race/ethnicity at the individual level. At the tract level we controlled for tract level disadvantage, the number of off-sale alcohol outlets per roadway mile; the number of parks and the number of fast-food outlets within the tract and within one-half mile of the tract’s boundaries. We found that parks were independently and positively associated with collective efficacy; alcohol outlets were negatively associated with collective efficacy only when tract level disadvantage was not included in the model. Fast food outlets and elementary schools were not linearly related to collective efficacy. Certain environmental features may set the stage for neighborhood social interactions, thus serving as a foundation for underlying health and well-being. Altering these environmental features may have greater than expected impact on health. PMID:17644395

  15. Games that Enlist Collective Intelligence to Solve Complex Scientific Problems

    PubMed Central

    Burnett, Stephen; Furlong, Michelle; Melvin, Paul Guy; Singiser, Richard

    2016-01-01

    There is great value in employing the collective problem-solving power of large groups of people. Technological advances have allowed computer games to be utilized by a diverse population to solve problems. Science games are becoming more popular and cover various areas such as sequence alignments, DNA base-pairing, and protein and RNA folding. While these tools have been developed for the general population, they can also be used effectively in the classroom to teach students about various topics. Many games also employ a social component that entices students to continue playing and thereby to continue learning. The basic functions of game play and the potential of game play as a tool in the classroom are discussed in this article. PMID:27047610

  16. Collective intelligence for control of distributed dynamical systems

    NASA Astrophysics Data System (ADS)

    Wolpert, D. H.; Wheeler, K. R.; Tumer, K.

    2000-03-01

    We consider the El Farol bar problem, also known as the minority game (W. B. Arthur, The American Economic Review, 84 (1994) 406; D. Challet and Y. C. Zhang, Physica A, 256 (1998) 514). We view it as an instance of the general problem of how to configure the nodal elements of a distributed dynamical system so that they do not "work at cross purposes", in that their collective dynamics avoids frustration and thereby achieves a provided global goal. We summarize a mathematical theory for such configuration applicable when (as in the bar problem) the global goal can be expressed as minimizing a global energy function and the nodes can be expressed as minimizers of local free energy functions. We show that a system designed with that theory performs nearly optimally for the bar problem.

  17. Games that Enlist Collective Intelligence to Solve Complex Scientific Problems.

    PubMed

    Burnett, Stephen; Furlong, Michelle; Melvin, Paul Guy; Singiser, Richard

    2016-03-01

    There is great value in employing the collective problem-solving power of large groups of people. Technological advances have allowed computer games to be utilized by a diverse population to solve problems. Science games are becoming more popular and cover various areas such as sequence alignments, DNA base-pairing, and protein and RNA folding. While these tools have been developed for the general population, they can also be used effectively in the classroom to teach students about various topics. Many games also employ a social component that entices students to continue playing and thereby to continue learning. The basic functions of game play and the potential of game play as a tool in the classroom are discussed in this article.

  18. The Effect of Web Assisted Learning with Emotional Intelligence Content on Students' Information about Energy Saving, Attitudes towards Environment and Emotional Intelligence

    ERIC Educational Resources Information Center

    Ercan, Orhan; Ural, Evrim; Köse, Sinan

    2017-01-01

    For a sustainable world, it is very important for students to develop positive environmental attitudes and to have awareness of energy use. The study aims to investigate the effect of web assisted instruction with emotional intelligence content on 8th grade students' emotional intelligence, attitudes towards environment and energy saving, academic…

  19. SHARED VIRTUAL ENVIRONMENTS FOR COLLECTIVE TRAINING

    NASA Technical Reports Server (NTRS)

    Loftin, R. Bowen

    2000-01-01

    Historically NASA has trained teams of astronauts by bringing them to the Johnson Space Center in Houston to undergo generic training, followed by mission-specific training. This latter training begins after a crew has been selected for a mission (perhaps two years before the launch of that mission). While some Space Shuttle flights have included an astronaut from a foreign country, the International Space Station will be consistently crewed by teams comprised of astronauts from two or more of the partner nations. The cost of training these international teams continues to grow in both monetary and personal terms. Thus, NASA has been seeking alternative training approaches for the International Space Station program. Since 1994 we have been developing, testing, and refining shared virtual environments for astronaut team training, including the use of virtual environments for use while in or in transit to the task location. In parallel with this effort, we have also been preparing applications for training teams of military personnel engaged in peacekeeping missions. This paper will describe the applications developed to date, some of the technological challenges that have been overcome in their development, and the research performed to guide the development and to measure the efficacy of these shared environments as training tools.

  20. Towards a global participatory platform. Democratising open data, complexity science and collective intelligence

    NASA Astrophysics Data System (ADS)

    Buckingham Shum, S.; Aberer, K.; Schmidt, A.; Bishop, S.; Lukowicz, P.; Anderson, S.; Charalabidis, Y.; Domingue, J.; de Freitas, S.; Dunwell, I.; Edmonds, B.; Grey, F.; Haklay, M.; Jelasity, M.; Karpištšenko, A.; Kohlhammer, J.; Lewis, J.; Pitt, J.; Sumner, R.; Helbing, D.

    2012-11-01

    The FuturICT project seeks to use the power of big data, analytic models grounded in complexity science, and the collective intelligence they yield for societal benefit. Accordingly, this paper argues that these new tools should not remain the preserve of restricted government, scientific or corporate élites, but be opened up for societal engagement and critique. To democratise such assets as a public good, requires a sustainable ecosystem enabling different kinds of stakeholder in society, including but not limited to, citizens and advocacy groups, school and university students, policy analysts, scientists, software developers, journalists and politicians. Our working name for envisioning a sociotechnical infrastructure capable of engaging such a wide constituency is the Global Participatory Platform (GPP). We consider what it means to develop a GPP at the different levels of data, models and deliberation, motivating a framework for different stakeholders to find their ecological niches at different levels within the system, serving the functions of (i) sensing the environment in order to pool data, (ii) mining the resulting data for patterns in order to model the past/present/future, and (iii) sharing and contesting possible interpretations of what those models might mean, and in a policy context, possible decisions. A research objective is also to apply the concepts and tools of complexity science and social science to the project's own work. We therefore conceive the global participatory platform as a resilient, epistemic ecosystem, whose design will make it capable of self-organization and adaptation to a dynamic environment, and whose structure and contributions are themselves networks of stakeholders, challenges, issues, ideas and arguments whose structure and dynamics can be modelled and analysed.

  1. Intelligent quality function deployment system in concurrent engineering environment

    NASA Astrophysics Data System (ADS)

    Lin, Zhihang; Che, Ada

    1998-10-01

    This paper describes work being undertaken in the development of an intelligent distributed quality function deployment (IDQFD) system, which supports product design team to transfer and deployment the `Voice of Customer' through `House of Quality' into the various stages of product planning, engineering and manufacturing. The requirement modeling of products, the optimization in QFD are indicated. The framework of the system, including QFD tools and platform for distributed collaborative work in QFD, is described. The strategy and methods for the collaboration processing in QFD process are presented. It shows promise for application in practice.

  2. micROS: a morphable, intelligent and collective robot operating system.

    PubMed

    Yang, Xuejun; Dai, Huadong; Yi, Xiaodong; Wang, Yanzhen; Yang, Shaowu; Zhang, Bo; Wang, Zhiyuan; Zhou, Yun; Peng, Xuefeng

    2016-01-01

    Robots are developing in much the same way that personal computers did 40 years ago, and robot operating system is the critical basis. Current robot software is mainly designed for individual robots. We present in this paper the design of micROS, a morphable, intelligent and collective robot operating system for future collective and collaborative robots. We first present the architecture of micROS, including the distributed architecture for collective robot system as a whole and the layered architecture for every single node. We then present the design of autonomous behavior management based on the observe-orient-decide-act cognitive behavior model and the design of collective intelligence including collective perception, collective cognition, collective game and collective dynamics. We also give the design of morphable resource management, which first categorizes robot resources into physical, information, cognitive and social domains, and then achieve morphability based on self-adaptive software technology. We finally deploy micROS on NuBot football robots and achieve significant improvement in real-time performance.

  3. Data Mining and Information Technology: Its Impact on Intelligence Collection and Privacy Rights

    DTIC Science & Technology

    2007-11-26

    Modern Information Technology (IT) has radically magnified the capability and power of data mining . At a time when the threat environment has shifted...in emphasis to COIN, terrorism, and cyber war, IT-enhanced data mining capabilities could provide some of the critical intelligence demanded by these...threatened. This paper establishes the intersection between the capability and need for data mining and the suitability of existing policy to enable its

  4. Hypermedia and intelligent tutoring applications in a mission operations environment

    NASA Technical Reports Server (NTRS)

    Ames, Troy; Baker, Clifford

    1990-01-01

    Hypermedia, hypertext and Intelligent Tutoring System (ITS) applications to support all phases of mission operations are investigated. The application of hypermedia and ITS technology to improve system performance and safety in supervisory control is described - with an emphasis on modeling operator's intentions in the form of goals, plans, tasks, and actions. Review of hypermedia and ITS technology is presented as may be applied to the tutoring of command and control languages. Hypertext based ITS is developed to train flight operation teams and System Test and Operation Language (STOL). Specific hypermedia and ITS application areas are highlighted, including: computer aided instruction of flight operation teams (STOL ITS) and control center software development tools (CHIMES and STOL Certification Tool).

  5. The Insensitive Ruins It All: Compositional and Compilational Influences of Social Sensitivity on Collective Intelligence in Groups

    PubMed Central

    Meslec, Nicoleta; Aggarwal, Ishani; Curseu, Petru L.

    2016-01-01

    A group's collective intelligence reflects its capacity to perform well across a variety of cognitive tasks and it transcends the individual intelligence of its members. Previous research shows that group members' social sensitivity is a potential antecedent of collective intelligence, yet it is still unclear whether individual or group-level indices are responsible for the positive association between social sensitivity and collective intelligence. In a comprehensive manner, we test the extent to which both compositional (lowest and highest individual score) and compilational aspects (emergent group level) of social sensitivity are associated with collective intelligence. This study has implications for research that explores groups as information processors, and for group design as it indicates how a group should be composed with respect to social sensitivity if the group is to reach high levels of collective intelligence. Our empirical results indicate that collectively intelligent groups are those in which the least socially sensitive group member has a rather high score on social sensitivity. Differently stated, (socially sensitive) group members cannot compensate for the lack of social sensitivity of the other group members. PMID:27242590

  6. Intelligent and Adaptive Tutoring for Active Learning and Training Environments

    ERIC Educational Resources Information Center

    Kenny, Claire; Pahl, Claus

    2009-01-01

    Active learning facilitated through interactive and adaptive learning environments differs substantially from traditional instructor-oriented, classroom-based teaching. We present a web-based e-learning environment that integrates knowledge learning and skills training. How these tools are used most effectively is still an open question. We…

  7. Reading the Mind in the Eyes or reading between the lines? Theory of Mind predicts collective intelligence equally well online and face-to-face.

    PubMed

    Engel, David; Woolley, Anita Williams; Jing, Lisa X; Chabris, Christopher F; Malone, Thomas W

    2014-01-01

    Recent research with face-to-face groups found that a measure of general group effectiveness (called "collective intelligence") predicted a group's performance on a wide range of different tasks. The same research also found that collective intelligence was correlated with the individual group members' ability to reason about the mental states of others (an ability called "Theory of Mind" or "ToM"). Since ToM was measured in this work by a test that requires participants to "read" the mental states of others from looking at their eyes (the "Reading the Mind in the Eyes" test), it is uncertain whether the same results would emerge in online groups where these visual cues are not available. Here we find that: (1) a collective intelligence factor characterizes group performance approximately as well for online groups as for face-to-face groups; and (2) surprisingly, the ToM measure is equally predictive of collective intelligence in both face-to-face and online groups, even though the online groups communicate only via text and never see each other at all. This provides strong evidence that ToM abilities are just as important to group performance in online environments with limited nonverbal cues as they are face-to-face. It also suggests that the Reading the Mind in the Eyes test measures a deeper, domain-independent aspect of social reasoning, not merely the ability to recognize facial expressions of mental states.

  8. Innovative Socio-Technical Environments in Support of Distributed Intelligence and Lifelong Learning

    ERIC Educational Resources Information Center

    Fischer, G; Konomi, S.

    2007-01-01

    Individual, unaided human abilities are constrained. Media have helped us to transcend boundaries in thinking, working, learning and collaborating by supporting "distributed intelligence". Wireless and mobile technologies provide new opportunities for creating novel socio-technical environments and thereby empowering humans, but not without…

  9. The Social Semantic Web in Intelligent Learning Environments: State of the Art and Future Challenges

    ERIC Educational Resources Information Center

    Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek

    2009-01-01

    Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…

  10. Dynamic Cultural Contextualisation of Educational Content in Intelligent Learning Environments Using ICON

    ERIC Educational Resources Information Center

    Mohammed, Phaedra; Mohan, Permanand

    2015-01-01

    Cultural awareness, when applied to Intelligent Learning Environments (ILEs), contours the overall appearance, behaviour, and content used in these systems through the use of culturally-relevant student data and information. In most cases, these adaptations are system-initiated with little to no consideration given to student-initiated control…

  11. Analyzing User Interaction to Design an Intelligent e-Learning Environment

    ERIC Educational Resources Information Center

    Sharma, Richa

    2011-01-01

    Building intelligent course designing systems adaptable to the learners' needs is one of the key goals of research in e-learning. This goal is all the more crucial as gaining knowledge in an e-learning environment depends solely on computer mediated interaction within the learner group and among the learners and instructors. The patterns generated…

  12. Innovative Socio-Technical Environments in Support of Distributed Intelligence and Lifelong Learning

    ERIC Educational Resources Information Center

    Fischer, G; Konomi, S.

    2007-01-01

    Individual, unaided human abilities are constrained. Media have helped us to transcend boundaries in thinking, working, learning and collaborating by supporting "distributed intelligence". Wireless and mobile technologies provide new opportunities for creating novel socio-technical environments and thereby empowering humans, but not without…

  13. Dynamic Cultural Contextualisation of Educational Content in Intelligent Learning Environments Using ICON

    ERIC Educational Resources Information Center

    Mohammed, Phaedra; Mohan, Permanand

    2015-01-01

    Cultural awareness, when applied to Intelligent Learning Environments (ILEs), contours the overall appearance, behaviour, and content used in these systems through the use of culturally-relevant student data and information. In most cases, these adaptations are system-initiated with little to no consideration given to student-initiated control…

  14. The Social Semantic Web in Intelligent Learning Environments: State of the Art and Future Challenges

    ERIC Educational Resources Information Center

    Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek

    2009-01-01

    Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…

  15. Not All Wizards Are from Oz: Iterative Design of Intelligent Learning Environments by Communication Capacity Tapering

    ERIC Educational Resources Information Center

    Mavrikis, Manolis; Gutierrez-Santos, Sergio

    2010-01-01

    This paper presents a methodology for the design of intelligent learning environments. We recognise that in the educational technology field, theory development and system-design should be integrated and rely on an iterative process that addresses: (a) the difficulty to elicit precise, concise, and operationalized knowledge from "experts" and (b)…

  16. The Time Factor: Leveraging Intelligent Agents and Directed Narratives in Online Learning Environments

    ERIC Educational Resources Information Center

    Jones, Greg; Warren, Scott

    2009-01-01

    Using video games, virtual simulations, and other digital spaces for learning can be a time-consuming process; aside from technical issues that may absorb class time, students take longer to achieve gains in learning in virtual environments. Greg Jones and Scott Warren describe how intelligent agents, in-game characters that respond to the context…

  17. Analyzing User Interaction to Design an Intelligent e-Learning Environment

    ERIC Educational Resources Information Center

    Sharma, Richa

    2011-01-01

    Building intelligent course designing systems adaptable to the learners' needs is one of the key goals of research in e-learning. This goal is all the more crucial as gaining knowledge in an e-learning environment depends solely on computer mediated interaction within the learner group and among the learners and instructors. The patterns generated…

  18. Intelligence Fusion Paradigm: Understanding Complex Operational Environments Implementing the Institutional Analysis and Development Framework

    DTIC Science & Technology

    2012-12-14

    methods, and checklists. These checklists provide helpful considerations for which analysts must account during the intelligence cycle . Some of the...military operations within an operational environment/battlespace environment in terms of the decision cycles , tempo, and planning horizons” (Department...religion changed through the years to account for the adversity the Apaches felt they had endured. When the Child of the Waters , son of Ussen, came to

  19. Towards an intelligent hospital environment: OR of the future.

    PubMed

    Sutherland, Jeffrey V; van den Heuvel, Willem-Jan; Ganous, Tim; Burton, Matthew M; Kumar, Animesh

    2005-01-01

    Patients, providers, payers, and government demand more effective and efficient healthcare services, and the healthcare industry needs innovative ways to re-invent core processes. Business process reengineering (BPR) showed adopting new hospital information systems can leverage this transformation and workflow management technologies can automate process management. Our research indicates workflow technologies in healthcare require real time patient monitoring, detection of adverse events, and adaptive responses to breakdown in normal processes. Adaptive workflow systems are rarely implemented making current workflow implementations inappropriate for healthcare. The advent of evidence based medicine, guideline based practice, and better understanding of cognitive workflow combined with novel technologies including Radio Frequency Identification (RFID), mobile/wireless technologies, internet workflow, intelligent agents, and Service Oriented Architectures (SOA) opens up new and exciting ways of automating business processes. Total situational awareness of events, timing, and location of healthcare activities can generate self-organizing change in behaviors of humans and machines. A test bed of a novel approach towards continuous process management was designed for the new Weinburg Surgery Building at the University of Maryland Medical. Early results based on clinical process mapping and analysis of patient flow bottlenecks demonstrated 100% improvement in delivery of supplies and instruments at surgery start time. This work has been directly applied to the design of the DARPA Trauma Pod research program where robotic surgery will be performed on wounded soldiers on the battlefield.

  20. Emerging CAE technologies and their role in Future Ambient Intelligence Environments

    NASA Astrophysics Data System (ADS)

    Noor, Ahmed

    2011-03-01

    Dramatic improvements are on the horizon in Computer Aided Engineering (CAE) and various simulation technologies. The improvements are due, in part, to the developments in a number of leading-edge technologies and their synergistic combinations/convergence. The technologies include ubiquitous, cloud, and petascale computing; ultra high-bandwidth networks, pervasive wireless communication; knowledge based engineering; networked immersive virtual environments and virtual worlds; novel human-computer interfaces; and powerful game engines and facilities. This paper describes the frontiers and emerging simulation technologies, and their role in the future virtual product creation and learning/training environments. The environments will be ambient intelligence environments, incorporating a synergistic combination of novel agent-supported visual simulations (with cognitive learning and understanding abilities); immersive 3D virtual world facilities; development chain management systems and facilities (incorporating a synergistic combination of intelligent engineering and management tools); nontraditional methods; intelligent, multimodal and human-like interfaces; and mobile wireless devices. The Virtual product creation environment will significantly enhance the productivity and will stimulate creativity and innovation in future global virtual collaborative enterprises. The facilities in the learning/training environment will provide timely, engaging, personalized/collaborative and tailored visual learning.

  1. How can Human Intelligence Enhance Collection in an Era of Un-manned Technology and Reduced Personnel?

    DTIC Science & Technology

    2014-12-12

    years ago. The new enemy is nationless and hides amongst the civilian population. This Hybrid Threat knows no borders and survives in anonymity...Combating this Hybrid Threat in today’s world is challenging and requires a better understanding of the enemy. Intelligence collection is crucial in...know friend from foe; human sources. The Hybrid threat is where Human Intelligence excels, and this low-tech collection capability is becoming more

  2. Adaptive versus Learner Control in a Multiple Intelligence Learning Environment

    ERIC Educational Resources Information Center

    Kelly, Declan

    2008-01-01

    Within the field of technology enhanced learning, adaptive educational systems offer an advanced form of learning environment that attempts to meet the needs of different students. Such systems capture and represent, for each student, various characteristics such as knowledge and traits in an individual learner model. Subsequently, using the…

  3. Intelligent Assistance for Teachers in Collaborative E-Learning Environments

    ERIC Educational Resources Information Center

    Casamayor, Agustin; Amandi, Analia; Campo, Marcelo

    2009-01-01

    Collaborative learning environments provide a set of tools for students acting in groups to interact and accomplish an assigned task. In this kind of systems, students are free to express and communicate with each other, which usually lead to collaboration and communication problems that may require the intervention of a teacher. In this article,…

  4. Enhancing Computer Science Education with a Wireless Intelligent Simulation Environment

    ERIC Educational Resources Information Center

    Cook, Diane J.; Huber, Manfred; Yerraballi, Ramesh; Holder, Lawrence B.

    2004-01-01

    The goal of this project is to develop a unique simulation environment that can be used to increase students' interest and expertise in Computer Science curriculum. Hands-on experience with physical or simulated equipment is an essential ingredient for learning, but many approaches to training develop a separate piece of equipment or software for…

  5. Adaptive versus Learner Control in a Multiple Intelligence Learning Environment

    ERIC Educational Resources Information Center

    Kelly, Declan

    2008-01-01

    Within the field of technology enhanced learning, adaptive educational systems offer an advanced form of learning environment that attempts to meet the needs of different students. Such systems capture and represent, for each student, various characteristics such as knowledge and traits in an individual learner model. Subsequently, using the…

  6. Intelligent sensing in dynamic environments using markov decision process.

    PubMed

    Nanayakkara, Thrishantha; Halgamuge, Malka N; Sridhar, Prasanna; Madni, Asad M

    2011-01-01

    In a network of low-powered wireless sensors, it is essential to capture as many environmental events as possible while still preserving the battery life of the sensor node. This paper focuses on a real-time learning algorithm to extend the lifetime of a sensor node to sense and transmit environmental events. A common method that is generally adopted in ad-hoc sensor networks is to periodically put the sensor nodes to sleep. The purpose of the learning algorithm is to couple the sensor's sleeping behavior to the natural statistics of the environment hence that it can be in optimal harmony with changes in the environment, the sensors can sleep when steady environment and stay awake when turbulent environment. This paper presents theoretical and experimental validation of a reward based learning algorithm that can be implemented on an embedded sensor. The key contribution of the proposed approach is the design and implementation of a reward function that satisfies a trade-off between the above two mutually contradicting objectives, and a linear critic function to approximate the discounted sum of future rewards in order to perform policy learning.

  7. Intelligent Robots for Use in Hazardous DOE Environments

    DTIC Science & Technology

    2002-08-01

    stairs and to check air quality prior to entering the facility. These individuals maintained as much distance between themselves and the highest...behavior, the robot was already able to use its knowledge of the environment and its own proprioception to take initiative and refuse to accept dangerous...element for compartment entry, but changed his task from conducting a survey to that of helping the robot ascend and descend a flight of stairs . Also

  8. [Artificial intelligence in medicine: project of a mobile platform in an intelligent environment for the care of disabled and elderly people].

    PubMed

    Cortés, Ulises; Annicchiarico, Roberta; Campana, Fabio; Vázquez-Salceda, Javier; Urdiales, Cristina; Canãmero, Lola; López, Maite; Sánchez-Marrè, Miquel; Di Vincenzo, Sarah; Caltagirone, Carlo

    2004-04-01

    A project based on the integration of new technologies and artificial intelligence to develop a device--e-tool--for disabled patients and elderly people is presented. A mobile platform in intelligent environments (skilled-care facilities and home-care), controlled and managed by a multi-level architecture, is proposed to support patients and caregivers to increase self-dependency in activities of daily living.

  9. Particle Swarm Based Collective Searching Model for Adaptive Environment

    SciTech Connect

    Cui, Xiaohui; Patton, Robert M; Potok, Thomas E; Treadwell, Jim N

    2008-01-01

    This report presents a pilot study of an integration of particle swarm algorithm, social knowledge adaptation and multi-agent approaches for modeling the collective search behavior of self-organized groups in an adaptive environment. The objective of this research is to apply the particle swarm metaphor as a model of social group adaptation for the dynamic environment and to provide insight and understanding of social group knowledge discovering and strategic searching. A new adaptive environment model, which dynamically reacts to the group collective searching behaviors, is proposed in this research. The simulations in the research indicate that effective communication between groups is not the necessary requirement for whole self-organized groups to achieve the efficient collective searching behavior in the adaptive environment.

  10. Particle Swarm Based Collective Searching Model for Adaptive Environment

    SciTech Connect

    Cui, Xiaohui; Patton, Robert M; Potok, Thomas E; Treadwell, Jim N

    2007-01-01

    This report presents a pilot study of an integration of particle swarm algorithm, social knowledge adaptation and multi-agent approaches for modeling the collective search behavior of self-organized groups in an adaptive environment. The objective of this research is to apply the particle swarm metaphor as a model of social group adaptation for the dynamic environment and to provide insight and understanding of social group knowledge discovering and strategic searching. A new adaptive environment model, which dynamically reacts to the group collective searching behaviors, is proposed in this research. The simulations in the research indicate that effective communication between groups is not the necessary requirement for whole self-organized groups to achieve the efficient collective searching behavior in the adaptive environment.

  11. Intelligent Entity Behavior Within Synthetic Environments. Chapter 3

    NASA Technical Reports Server (NTRS)

    Kruk, R. V.; Howells, P. B.; Siksik, D. N.

    2007-01-01

    This paper describes some elements in the development of realistic performance and behavior in the synthetic entities (players) which support Modeling and Simulation (M&S) applications, particularly military training. Modern human-in-the-loop (virtual) training systems incorporate sophisticated synthetic environments, which provide: 1. The operational environment, including, for example, terrain databases; 2. Physical entity parameters which define performance in engineered systems, such as aircraft aerodynamics; 3. Platform/system characteristics such as acoustic, IR and radar signatures; 4. Behavioral entity parameters which define interactive performance, including knowledge/reasoning about terrain, tactics; and, 5. Doctrine, which combines knowledge and tactics into behavior rule sets. The resolution and fidelity of these model/database elements can vary substantially, but as synthetic environments are designed to be compose able, attributes may easily be added (e.g., adding a new radar to an aircraft) or enhanced (e.g. Amending or replacing missile seeker head/ Electronic Counter Measures (ECM) models to improve the realism of their interaction). To a human in the loop with synthetic entities, their observed veridicality is assessed via engagement responses (e.g. effect of countermeasures upon a closing missile), as seen on systems displays, and visual (image) behavior. The realism of visual models in a simulation (level of detail as well as motion fidelity) remains a challenge in realistic articulation of elements such as vehicle antennae and turrets, or, with human figures; posture, joint articulation, response to uneven ground. Currently the adequacy of visual representation is more dependant upon the quality and resolution of the physical models driving those entities than graphics processing power per Se. Synthetic entities in M&S applications traditionally have represented engineered systems (e.g. aircraft) with human-in-the-loop performance

  12. Trait emotional intelligence and leadership self-efficacy: their relationship with collective efficacy.

    PubMed

    Villanueva, José J; Sánchez, José C

    2007-11-01

    In this article, a leadership model is presented, with which to investigate the relationship of trait emotional intelligence (trait EI), leadership self-efficacy and leader's task self-efficacy with collective task efficacy and group performance. The sample was made up of 217 undergraduate students, randomly assigned to work teams of 1 leader and 2 followers that were requested to perform a production task. An adapted version of the Schutte Self-Report Inventory (SSRI; Schutte et al., 1998) was used to measure trait EI. Structural equation modeling was used to test the hypothesized relationships. Results indicated that task self-efficacy was a mediator between leadership self-efficacy and collective task efficacy; the latter, in turn, was the best predictor of group performance. No significant relationship was found between trait EI and collective task efficacy although, unexpectedly, trait EI was positively associated with leadership self-efficacy. Implications of the results are discussed.

  13. Challenges and Limitations of Intelligent Ambient Assisted Living Environments

    NASA Astrophysics Data System (ADS)

    Wichert, Reiner

    As a result of changing demographics, residing and being cared for in one's own familiar environment versus in an institutionalised inpatient setting is becoming the more attractive alternative for an ever increasing portion of the population. Despite its tremendous market potential, the AAL (Ambient Assisted Living) branch is still on the cusp of a mainstream breakthrough. A lack of viable business models is considered almost unanimously to be the greatest market obstacle to a broad implementation of innovative AAL systems. This paper highlights possible explanations for this deficit and shows why the AAL community has yet to arrive at joint solutions based on a unified AAL reference platform. Furthermore, this paper describes the enormous potential of AmI and AAL, as the first real opportunity for their success is provided through universAAL and AALOA.

  14. An Intelligent System for Monitoring the Microgravity Environment Quality On-Board the International Space Station

    NASA Technical Reports Server (NTRS)

    Lin, Paul P.; Jules, Kenol

    2002-01-01

    An intelligent system for monitoring the microgravity environment quality on-board the International Space Station is presented. The monitoring system uses a new approach combining Kohonen's self-organizing feature map, learning vector quantization, and back propagation neural network to recognize and classify the known and unknown patterns. Finally, fuzzy logic is used to assess the level of confidence associated with each vibrating source activation detected by the system.

  15. Can Simple Transmission Chains Foster Collective Intelligence in Binary-Choice Tasks?

    PubMed Central

    Moussaïd, Mehdi; Seyed Yahosseini, Kyanoush

    2016-01-01

    In many social systems, groups of individuals can find remarkably efficient solutions to complex cognitive problems, sometimes even outperforming a single expert. The success of the group, however, crucially depends on how the judgments of the group members are aggregated to produce the collective answer. A large variety of such aggregation methods have been described in the literature, such as averaging the independent judgments, relying on the majority or setting up a group discussion. In the present work, we introduce a novel approach for aggregating judgments—the transmission chain—which has not yet been consistently evaluated in the context of collective intelligence. In a transmission chain, all group members have access to a unique collective solution and can improve it sequentially. Over repeated improvements, the collective solution that emerges reflects the judgments of every group members. We address the question of whether such a transmission chain can foster collective intelligence for binary-choice problems. In a series of numerical simulations, we explore the impact of various factors on the performance of the transmission chain, such as the group size, the model parameters, and the structure of the population. The performance of this method is compared to those of the majority rule and the confidence-weighted majority. Finally, we rely on two existing datasets of individuals performing a series of binary decisions to evaluate the expected performances of the three methods empirically. We find that the parameter space where the transmission chain has the best performance rarely appears in real datasets. We conclude that the transmission chain is best suited for other types of problems, such as those that have cumulative properties. PMID:27880825

  16. Collective intelligence of the artificial life community on its own successes, failures, and future.

    PubMed

    Rasmussen, Steen; Raven, Michael J; Keating, Gordon N; Bedau, Mark A

    2003-01-01

    We describe a novel Internet-based method for building consensus and clarifying conflicts in large stakeholder groups facing complex issues, and we use the method to survey and map the scientific and organizational perspectives of the artificial life community during the Seventh International Conference on Artificial Life (summer 2000). The issues addressed in this survey included artificial life's main successes, main failures, main open scientific questions, and main strategies for the future, as well as the benefits and pitfalls of creating a professional society for artificial life. By illuminating the artificial life community's collective perspective on these issues, this survey illustrates the value of such methods of harnessing the collective intelligence of large stakeholder groups.

  17. Teamwork in Health Care: Maximizing Collective Intelligence via Inclusive Collaboration and Open Communication.

    PubMed

    Mayo, Anna T; Woolley, Anita Williams

    2016-09-01

    Teams offer the potential to achieve more than any person could achieve working alone; yet, particularly in teams that span professional boundaries, it is critical to capitalize on the variety of knowledge, skills, and abilities available. This article reviews research from the field of organizational behavior to shed light on what makes for a collectively intelligent team. In doing so, we highlight the importance of moving beyond simply including smart people on a team to thinking about how those people can effectively coordinate and collaborate. In particular, we review the importance of two communication processes: ensuring that team members with relevant knowledge (1) speak up when one's expertise can be helpful and (2) influence the team's work so that the team does its collective best for the patient.

  18. The Design of Future Airbreathing Engine Systems within an Intelligent Synthesis Environment

    NASA Technical Reports Server (NTRS)

    Malone, J. B.; Housner, J. M.; Lytle, J. K.

    1999-01-01

    This paper describes a new Initiative proposed by the National Aeronautics and Space Administration (NASA). The purpose of this initiative is to develop a future design environment for engineering and science mission synthesis for use by NASA scientists and engineers. This new initiative is called the Intelligent Synthesis Environment (ISE). The paper describes the mission of NASA, future aerospace system characteristics, the current engineering design process, the ISE concept, and concludes with a description of possible ISE applications for the decision of air-breathing propulsion systems.

  19. Artificial intelligence and statistics

    SciTech Connect

    Gale, W.A.

    1987-01-01

    This book explores the possible applications of artificial intelligence in statistics and conversely, statistics in artificial intelligence. It is a collection of seventeen papers written by leaders in the field. Most of the papers were prepared for the Workshop on Artificial Intelligence and Statistics held in April 1985 and sponsored by ATandT Bell Laboratories. The book is divided into six parts: uncertainly propagation, clustering and learning, expert systems, environments for supporting statistical strategy, knowledge acquisition, and strategy. The editor ties the collection together in the first chapter by providing an overview of AI and statistics, discussing the Workshop, and exploring future research in the field.

  20. Sensor Web in Antarctica: Developing an Intelligent, Autonomous Platform for Locating Biological Flourishes in Cryogenic Environments

    NASA Technical Reports Server (NTRS)

    Delin, K. A.; Harvey, R. P.; Chabot, N. A.; Jackson, S. P.; Adams, Mike; Johnson, D. W.; Britton, J. T.

    2003-01-01

    The most rigorous tests of the ability to detect extant life will occur where biotic activity is limited by severe environmental conditions. Cryogenic environments are among the most severe-the energy and nutrients needed for biological activity are in short supply while the climate itself is actively destructive to biological mechanisms. In such settings biological activity is often limited to brief flourishes, occurring only when and where conditions are at their most favorable. The closer that typical regional conditions approach conditions that are actively hostile , the more widely distributed biological blooms will be in both time and space. On a spatial dimension of a few meters or a time dimension of a few days, biological activity becomes much more difficult to detect. One way to overcome this difficulty is to establish a Sensor Web that can monitor microclimates over appropriate scales of time and distance, allowing a continuous virtual presence for instant recognition of favorable conditions. A more sophisticated Sensor Web, incorporating metabolic sensors, can effectively meet the challenge to be in "the right place in the right time". This is particularly of value in planetary surface missions, where limited mobility and mission timelines require extremely efficient sample and data acquisition. Sensor Webs can be an effective way to fill the gap between broad scale orbital data collection and fine-scale surface lander science. We are in the process of developing an intelligent, distributed and autonomous Sensor Web that will allow us to monitor microclimate under severe cryogenic conditions, approaching those extant on the surface of Mars. Ultimately this Sensor Web will include the ability to detect and/or establish limits on extant microbiological activity through incorporation of novel metabolic gas sensors. Here we report the results of our first deployment of a Sensor Web prototype in a previously unexplored high altitude East Antarctic Plateau

  1. Sensor Web in Antarctica: Developing an Intelligent, Autonomous Platform for Locating Biological Flourishes in Cryogenic Environments

    NASA Technical Reports Server (NTRS)

    Delin, K. A.; Harvey, R. P.; Chabot, N. A.; Jackson, S. P.; Adams, Mike; Johnson, D. W.; Britton, J. T.

    2003-01-01

    The most rigorous tests of the ability to detect extant life will occur where biotic activity is limited by severe environmental conditions. Cryogenic environments are among the most severe-the energy and nutrients needed for biological activity are in short supply while the climate itself is actively destructive to biological mechanisms. In such settings biological activity is often limited to brief flourishes, occurring only when and where conditions are at their most favorable. The closer that typical regional conditions approach conditions that are actively hostile , the more widely distributed biological blooms will be in both time and space. On a spatial dimension of a few meters or a time dimension of a few days, biological activity becomes much more difficult to detect. One way to overcome this difficulty is to establish a Sensor Web that can monitor microclimates over appropriate scales of time and distance, allowing a continuous virtual presence for instant recognition of favorable conditions. A more sophisticated Sensor Web, incorporating metabolic sensors, can effectively meet the challenge to be in "the right place in the right time". This is particularly of value in planetary surface missions, where limited mobility and mission timelines require extremely efficient sample and data acquisition. Sensor Webs can be an effective way to fill the gap between broad scale orbital data collection and fine-scale surface lander science. We are in the process of developing an intelligent, distributed and autonomous Sensor Web that will allow us to monitor microclimate under severe cryogenic conditions, approaching those extant on the surface of Mars. Ultimately this Sensor Web will include the ability to detect and/or establish limits on extant microbiological activity through incorporation of novel metabolic gas sensors. Here we report the results of our first deployment of a Sensor Web prototype in a previously unexplored high altitude East Antarctic Plateau

  2. Intelligent Agents and Their Potential for Future Design and Synthesis Environment

    NASA Technical Reports Server (NTRS)

    Noor, Ahmed K. (Compiler); Malone, John B. (Compiler)

    1999-01-01

    This document contains the proceedings of the Workshop on Intelligent Agents and Their Potential for Future Design and Synthesis Environment, held at NASA Langley Research Center, Hampton, VA, September 16-17, 1998. The workshop was jointly sponsored by the University of Virginia's Center for Advanced Computational Technology and NASA. Workshop attendees came from NASA, industry and universities. The objectives of the workshop were to assess the status of intelligent agents technology and to identify the potential of software agents for use in future design and synthesis environment. The presentations covered the current status of agent technology and several applications of intelligent software agents. Certain materials and products are identified in this publication in order to specify adequately the materials and products that were investigated in the research effort. In no case does such identification imply recommendation or endorsement of products by NASA, nor does it imply that the materials and products are the only ones or the best ones available for this purpose. In many cases equivalent materials and products are available and would probably produce equivalent results.

  3. Fluid Intelligence and Cognitive Reflection in a Strategic Environment: Evidence from Dominance-Solvable Games

    PubMed Central

    Hanaki, Nobuyuki; Jacquemet, Nicolas; Luchini, Stéphane; Zylbersztejn, Adam

    2016-01-01

    Dominance solvability is one of the most straightforward solution concepts in game theory. It is based on two principles: dominance (according to which players always use their dominant strategy) and iterated dominance (according to which players always act as if others apply the principle of dominance). However, existing experimental evidence questions the empirical accuracy of dominance solvability. In this study, we study the relationships between the key facets of dominance solvability and two cognitive skills, cognitive reflection, and fluid intelligence. We provide evidence that the behaviors in accordance with dominance and one-step iterated dominance are both predicted by one's fluid intelligence rather than cognitive reflection. Individual cognitive skills, however, only explain a small fraction of the observed failure of dominance solvability. The accuracy of theoretical predictions on strategic decision making thus not only depends on individual cognitive characteristics, but also, perhaps more importantly, on the decision making environment itself. PMID:27559324

  4. Fluid Intelligence and Cognitive Reflection in a Strategic Environment: Evidence from Dominance-Solvable Games.

    PubMed

    Hanaki, Nobuyuki; Jacquemet, Nicolas; Luchini, Stéphane; Zylbersztejn, Adam

    2016-01-01

    Dominance solvability is one of the most straightforward solution concepts in game theory. It is based on two principles: dominance (according to which players always use their dominant strategy) and iterated dominance (according to which players always act as if others apply the principle of dominance). However, existing experimental evidence questions the empirical accuracy of dominance solvability. In this study, we study the relationships between the key facets of dominance solvability and two cognitive skills, cognitive reflection, and fluid intelligence. We provide evidence that the behaviors in accordance with dominance and one-step iterated dominance are both predicted by one's fluid intelligence rather than cognitive reflection. Individual cognitive skills, however, only explain a small fraction of the observed failure of dominance solvability. The accuracy of theoretical predictions on strategic decision making thus not only depends on individual cognitive characteristics, but also, perhaps more importantly, on the decision making environment itself.

  5. Collective Intelligence and Three Aspects of Planning in Organizations: A NASA Example

    NASA Technical Reports Server (NTRS)

    Billman, Dorrit; Feary, Michael

    2010-01-01

    For many complex sociotechnical systems, planning seems to require explicit coordination; certainly, in executing a plan the activities of different actors must be tightly coupled. However, distributing the needed planning information can be very burdensome and error prone, because different groups need different collections of information, updated or kept current on different time cycles. Further, the information needed to form successful plans is often highly distributed, and while feedback about the success of prior plans may exist, it may not be available to those in a position of using this to improve plans or to detect and resolve other problems in the system (Weick, 1995). Tools to support various aspects of planning have been developed, and can provide a huge benefit to the individuals working on that aspect. To be tractable, most solutions address a quite bounded slice of work, isolating it from the larger context. Prospective planning takes place over multiple, nested cycles of decision making. This builds a plan that specifies activities of different granularity. "Subplans" may specify multiple parallel activities by different groups and individuals, as well as sequential, nested actions by a single actor. Planning produces valuable, sharable, external, representations: in addition to prospective use, plans support retrospective assessment and also action in the present. Viewing planning in a larger context - both temporal and organizational -- enables noticing what one does not know and generating more systemic and effective solutions. Viewing a problem as one of collective intelligence invites thinking about the larger organizational context. Many approaches to supporting collective intelligence do not support execution of highly contingent actions, distributed across many players, and hence provide incomplete support for planning. However, CI technology maybe helpful in managing the processes of gathering information for decision making in planning

  6. A general-purpose development environment for intelligent computer-aided training systems

    NASA Technical Reports Server (NTRS)

    Savely, Robert T.

    1990-01-01

    Space station training will be a major task, requiring the creation of large numbers of simulation-based training systems for crew, flight controllers, and ground-based support personnel. Given the long duration of space station missions and the large number of activities supported by the space station, the extension of space shuttle training methods to space station training may prove to be impractical. The application of artificial intelligence technology to simulation training can provide the ability to deliver individualized training to large numbers of personnel in a distributed workstation environment. The principal objective of this project is the creation of a software development environment which can be used to build intelligent training systems for procedural tasks associated with the operation of the space station. Current NASA Johnson Space Center projects and joint projects with other NASA operational centers will result in specific training systems for existing space shuttle crew, ground support personnel, and flight controller tasks. Concurrently with the creation of these systems, a general-purpose development environment for intelligent computer-aided training systems will be built. Such an environment would permit the rapid production, delivery, and evolution of training systems for space station crew, flight controllers, and other support personnel. The widespread use of such systems will serve to preserve task and training expertise, support the training of many personnel in a distributed manner, and ensure the uniformity and verifiability of training experiences. As a result, significant reductions in training costs can be realized while safety and the probability of mission success can be enhanced.

  7. The Capabilities of the U.S. Government to Collect and Analyze Economic Intelligence

    DTIC Science & Technology

    1994-01-01

    Korea’s equivalent of the CIA, the National Security Planning Agenvy, places operatives in Korean companies like Hyundai, Samsung , and the Lucky Group...switching system. The British government notified France, an act that reveals the extent of intelligence exchanges between some nations. When...Intelligence Community. Intelligence Agencies Central Intelligence Agency The National Security Act of 1947 established the CIA. Its basic charter

  8. Neural computing thermal comfort index PMV for the indoor environment intelligent control system

    NASA Astrophysics Data System (ADS)

    Liu, Chang; Chen, Yifei

    2013-03-01

    Providing indoor thermal comfort and saving energy are two main goals of indoor environmental control system. An intelligent comfort control system by combining the intelligent control and minimum power control strategies for the indoor environment is presented in this paper. In the system, for realizing the comfort control, the predicted mean vote (PMV) is designed as the control goal, and with chastening formulas of PMV, it is controlled to optimize for improving indoor comfort lever by considering six comfort related variables. On the other hand, a RBF neural network based on genetic algorithm is designed to calculate PMV for better performance and overcoming the nonlinear feature of the PMV calculation better. The formulas given in the paper are presented for calculating the expected output values basing on the input samples, and the RBF network model is trained depending on input samples and the expected output values. The simulation result is proved that the design of the intelligent calculation method is valid. Moreover, this method has a lot of advancements such as high precision, fast dynamic response and good system performance are reached, it can be used in practice with requested calculating error.

  9. Application of Medical Intelligence Prep of the Environment: A Review of Operational Vignettes.

    PubMed

    Caci, Jennifer B

    2015-01-01

    Medical intelligence is an underused or sometimes misapplied tool in the protection of our Soldiers and the execution of nonkinetic operations. The somewhat improved infrastructure of the operational environment in Iraq and Afghanistan led to an inevitable sense of complacency in regard to the threat of disease nonbattle injury (DNBI). The picture changed somewhat in 2010 with the advent of the village stability program and the establishment of SOF camps in austere locations with degraded living situations rife with exposure risks. In addition, the increasing deployments to unstable locations around the globe, reminiscent of typical Special Operations Forces (SOF) missions before the Global War on Terrorism, indicate a need for better preparation for deployment from the standpoint of disease risk and force health protection. A knowledge gap has developed because we simply did not need to apply as stringent an evaluation of DNBI risk in environments where improved life support mitigated the risk for us. The tools necessary to decrease or even eliminate the impact of DNBI exist but they must be shared and implemented. This article will present four vignettes from current and former SOF Force Health Protection personnel starting with a simple method of executing Medical Intelligence Prep of the Environment (MIPOE) and highlighting situations in which it either was or could have been implemented to mitigate risk and decrease the impact on mission accomplishment and individual operators. A follow-on article will present vignettes of the successful application of MIPOE to nonkinetic operations.

  10. Effects of Web Based Inquiry Science Environment on Cognitive Outcomes in Biological Science in Correlation to Emotional Intelligence

    ERIC Educational Resources Information Center

    Manoj, T. I.; Devanathan, S.

    2010-01-01

    This research study is the report of an experiment conducted to find out the effects of web based inquiry science environment on cognitive outcomes in Biological science in correlation to Emotional intelligence. Web based inquiry science environment (WISE) provides a platform for creating inquiry-based science projects for students to work…

  11. Sensor Systems for Vehicle Environment Perception in a Highway Intelligent Space System

    PubMed Central

    Tang, Xiaofeng; Gao, Feng; Xu, Guoyan; Ding, Nenggen; Cai, Yao; Ma, Mingming; Liu, Jianxing

    2014-01-01

    A Highway Intelligent Space System (HISS) is proposed to study vehicle environment perception in this paper. The nature of HISS is that a space sensors system using laser, ultrasonic or radar sensors are installed in a highway environment and communication technology is used to realize the information exchange between the HISS server and vehicles, which provides vehicles with the surrounding road information. Considering the high-speed feature of vehicles on highways, when vehicles will be passing a road ahead that is prone to accidents, the vehicle driving state should be predicted to ensure drivers have road environment perception information in advance, thereby ensuring vehicle driving safety and stability. In order to verify the accuracy and feasibility of the HISS, a traditional vehicle-mounted sensor system for environment perception is used to obtain the relative driving state. Furthermore, an inter-vehicle dynamics model is built and model predictive control approach is used to predict the driving state in the following period. Finally, the simulation results shows that using the HISS for environment perception can arrive at the same results detected by a traditional vehicle-mounted sensors system. Meanwhile, we can further draw the conclusion that using HISS to realize vehicle environment perception can ensure system stability, thereby demonstrating the method's feasibility. PMID:24834907

  12. Sensor systems for vehicle environment perception in a Highway Intelligent Space System.

    PubMed

    Tang, Xiaofeng; Gao, Feng; Xu, Guoyan; Ding, Nenggen; Cai, Yao; Ma, Mingming; Liu, Jianxing

    2014-05-15

    A Highway Intelligent Space System (HISS) is proposed to study vehicle environment perception in this paper. The nature of HISS is that a space sensors system using laser, ultrasonic or radar sensors are installed in a highway environment and communication technology is used to realize the information exchange between the HISS server and vehicles, which provides vehicles with the surrounding road information. Considering the high-speed feature of vehicles on highways, when vehicles will be passing a road ahead that is prone to accidents, the vehicle driving state should be predicted to ensure drivers have road environment perception information in advance, thereby ensuring vehicle driving safety and stability. In order to verify the accuracy and feasibility of the HISS, a traditional vehicle-mounted sensor system for environment perception is used to obtain the relative driving state. Furthermore, an inter-vehicle dynamics model is built and model predictive control approach is used to predict the driving state in the following period. Finally, the simulation results shows that using the HISS for environment perception can arrive at the same results detected by a traditional vehicle-mounted sensors system. Meanwhile, we can further draw the conclusion that using HISS to realize vehicle environment perception can ensure system stability, thereby demonstrating the method's feasibility.

  13. Intelligence Sharing in Bosnia

    DTIC Science & Technology

    2007-11-02

    increases with the demands of near real time accurate intelligence for operational decision-making. Given this environment, intelligence-sharing...operating system providing actionable near-real- time intelligence to commanders for coalition synchronization and the requirement to protect national...real time accurate intelligence for operational decision-making. Given this environment, intelligence-sharing requirements across an ad hoc coalition

  14. Organisational Intelligence

    ERIC Educational Resources Information Center

    Yolles, Maurice

    2005-01-01

    Purpose: Seeks to explore the notion of organisational intelligence as a simple extension of the notion of the idea of collective intelligence. Design/methodology/approach: Discusses organisational intelligence using previous research, which includes the Purpose, Properties and Practice model of Dealtry, and the Viable Systems model. Findings: The…

  15. Organisational Intelligence

    ERIC Educational Resources Information Center

    Yolles, Maurice

    2005-01-01

    Purpose: Seeks to explore the notion of organisational intelligence as a simple extension of the notion of the idea of collective intelligence. Design/methodology/approach: Discusses organisational intelligence using previous research, which includes the Purpose, Properties and Practice model of Dealtry, and the Viable Systems model. Findings: The…

  16. Measurement realities of current collection in dynamic space plasma environments

    NASA Technical Reports Server (NTRS)

    Szuszczewicz, Edward P.

    1990-01-01

    Theories which describe currents collected by conducting and non-conducting bodies immersed in plasmas have many of their concepts based upon the fundamentals of sheath-potential distributions and charged-particle behavior in superimposed electric and magnetic fields. Those current-collecting bodies (or electrodes) may be Langmuir probes, electric field detectors, aperture plates on ion mass spectrometers and retarding potential analyzers, or spacecraft and their rigid and tethered appendages. Often the models are incomplete in representing the conditions under which the current-voltage characteristics of the electrode and its system are to be measured. In such cases, the experimenter must carefully take into account magnetic field effects and particle anisotropies, perturbations caused by the current collection process itself and contamination on electrode surfaces, the complexities of non-Maxwellian plasma distributions, and the temporal variability of the local plasma density, temperature, composition and fields. This set of variables is by no means all-inclusive, but it represents a collection of circumstances guaranteed to accompany experiments involving energetic particle beams, plasma discharges, chemical releases, wave injection and various events of controlled and uncontrolled spacecraft charging. Here, an attempt is made to synopsize these diagnostic challenges and frame them within a perspective that focuses on the physics under investigation and the requirements on the parameters to be measured. Examples include laboratory and spaceborne applications, with specific interest in dynamic and unstable plasma environments.

  17. Reading the Mind in the Eyes or Reading between the Lines? Theory of Mind Predicts Collective Intelligence Equally Well Online and Face-To-Face

    PubMed Central

    Engel, David; Woolley, Anita Williams; Jing, Lisa X.; Chabris, Christopher F.; Malone, Thomas W.

    2014-01-01

    Recent research with face-to-face groups found that a measure of general group effectiveness (called “collective intelligence”) predicted a group’s performance on a wide range of different tasks. The same research also found that collective intelligence was correlated with the individual group members’ ability to reason about the mental states of others (an ability called “Theory of Mind” or “ToM”). Since ToM was measured in this work by a test that requires participants to “read” the mental states of others from looking at their eyes (the “Reading the Mind in the Eyes” test), it is uncertain whether the same results would emerge in online groups where these visual cues are not available. Here we find that: (1) a collective intelligence factor characterizes group performance approximately as well for online groups as for face-to-face groups; and (2) surprisingly, the ToM measure is equally predictive of collective intelligence in both face-to-face and online groups, even though the online groups communicate only via text and never see each other at all. This provides strong evidence that ToM abilities are just as important to group performance in online environments with limited nonverbal cues as they are face-to-face. It also suggests that the Reading the Mind in the Eyes test measures a deeper, domain-independent aspect of social reasoning, not merely the ability to recognize facial expressions of mental states. PMID:25514387

  18. State Space Composition Technique for Intelligent Wheel Chair Adapting to Environment.

    NASA Astrophysics Data System (ADS)

    Hamagami, Tomoki; Hirata, Hironori

    This paper describes a state space composition technique for the adaptation to environment in the autonomous behavior of intelligent wheel chair (IWC).In the product like IWC with actual sensors, composing state space is difficult problem since environmental information can not be observed sufficiently from restricted sensor inputs.A lot of states observed from same environment position raise the fail of the learning and adaptation with active learning approach.In order to compensate for the effects of the sensor configuration, that is sensor position, angle and precision, a normalization processing of position detector is introduced.In sensor normalization process, IWC scans present environment via range sensors with executing spot-turn, and prepare scan-patterns of each sensor.Then the normalization process adjusts the phase and dynamic range of each pattern to the reference sensor scan-pattern, analyzing phase differences and scale factors of each pattern against reference pattern.Using phase difference and scale factors, automated state space composition is possible.From the simulation experiment with both artificial and real-worlddraft, the automated state space construction is confirmed as a practical approach for pre-processing for environment learning and adaptation.

  19. Construction and application of an intelligent air quality monitoring system for healthcare environment.

    PubMed

    Yang, Chao-Tung; Liao, Chi-Jui; Liu, Jung-Chun; Den, Walter; Chou, Ying-Chyi; Tsai, Jaw-Ji

    2014-02-01

    Indoor air quality monitoring in healthcare environment has become a critical part of hospital management and policy. Manual air sampling and analysis are cost-inhibitive and do not provide real-time air quality data and response measures. In this month-long study over 14 sampling locations in a public hospital in Taiwan, we observed a positive correlation between CO(2) concentration and population, total bacteria, and particulate matter concentrations, thus monitoring CO(2) concentration as a general indicator for air quality could be a viable option. Consequently, an intelligent environmental monitoring system consisting of a CO(2)/temperature/humidity sensor, a digital plug, and a ZigBee Router and Coordinator was developed and tested. The system also included a backend server that received and analyzed data, as well as activating ventilation and air purifiers when CO(2) concentration exceeded a pre-set value. Alert messages can also be delivered to offsite users through mobile devices.

  20. Implementation of Wireless and Intelligent Sensor Technologies in the Propulsion Test Environment

    NASA Technical Reports Server (NTRS)

    Solano, Wanda M.; Junell, Justin C.; Shumard, Kenneth

    2003-01-01

    From the first Saturn V rocket booster (S-II-T) testing in 1966 and the routine Space Shuttle Main Engine (SSME) testing beginning in 1975, to more recent test programs such as the X-33 Aerospike Engine, the Integrated Powerhead Development (IPD) program, and the Hybrid Sounding Rocket (HYSR), Stennis Space Center (SSC) continues to be a premier location for conducting large-scale propulsion testing. Central to each test program is the capability for sensor systems to deliver reliable measurements and high quality data, while also providing a means to monitor the test stand area to the highest degree of safety and sustainability. As part of an on-going effort to enhance the testing capabilities of Stennis Space Center, the Test Technology and Development group is developing and applying a number of wireless and intelligent sensor technologies in ways that are new to the test existing test environment.

  1. Using an Agent-Supported Simulation Environment for Intelligent Manufacturing Systems

    NASA Astrophysics Data System (ADS)

    Ruiz, Nancy; Giret, Adriana; Botti, Vicente

    The manufacturing field is an area where the application of simulation is an essential tool for validating methods and architectures before applying them on the factory floor. Multiagent System technology has demonstrated its utility in manufacturing system modeling and implementation. Agenthood features such as proactivity, reactivity, and sociability may also be useful for associating them with the specific simulation needs of the new manufacturing requirements. In this paper, we present an Agent-supported Simulation Tool (tool uses both events and discrete time to control agent tasks) for Intelligent Manufacturing Systems applied to a real manufacturing enterprise case study. The main goal is to provide a flexible simulation tool that can be adapted to solve the new manufacturing requirements that appear in a real environment allowing the experts of manufacturing domains to optimize the resource usage and to have enough data to make decisions.

  2. Ongoing research using HERMIES: The Hostile Environment Robotic Machine Intelligence Experiment Series

    SciTech Connect

    Burks, B.L.; Spelt, P.F.

    1988-01-01

    In order to test and validate the hardware and software developed in the research activities of CESAR (Center of Engineering Systems Advanced Research) a series of mobile autonomous robotic vehicles are being assembled named HERMIES (Hostile Environment Robotic Machine Intelligence Experiment Series). The current experimental test bed HERMIES-IIB, is the third in the series. A description of the earlier HERMIES robots and research activities may be found in the literature. HERMIES-IIB has been operational for more than a year and is described in detail in this article and elsewhere. In addition to a description of the robot, this article details some of the experiments under way utilizing HERMIES-IIB. The fourth robot in the series, HERMIES-III, is currently being assembled and should be available for experiments during the fall of 1988. This robot and initial experiments planned for it are also briefly described in this paper. 26 refs., 7 figs.

  3. Collecting and Connecting the Dots: Leveraging Technology to Enhance the Collection of Information and the Dissemination of Intelligence

    DTIC Science & Technology

    2009-09-01

    analysis and production. In this s tage, subjec t m atter ex perts (analy sts) evaluate the relevance and vera city of the av ailable inf ormation in o...intelligen ce, alo ng with a designated point of contact (POC) is paramount to effectively p roviding intelligence from the higher echelons to the officers

  4. Collective Properties of a Transcription Initiation Model Under Varying Environment.

    PubMed

    Hu, Yucheng; Lowengrub, John S

    2016-01-01

    The dynamics of gene transcription is tightly regulated in eukaryotes. Recent experiments have revealed various kinds of transcriptional dynamics, such as RNA polymerase II pausing, that involves regulation at the transcription initiation stage, and the choice of different regulation pattern is closely related to the physiological functions of the target gene. Here we consider a simplified model of transcription initiation, a process including the assembly of transcription complex and the pausing and releasing of the RNA polymerase II. Focusing on the collective behaviors of a population level, we explore the potential regulatory functions this model can offer. These functions include fast and synchronized response to environmental change, or long-term memory about the transcriptional status. As a proof of concept we also show that, by selecting different control mechanisms cells can adapt to different environments. These findings may help us better understand the design principles of transcriptional regulation.

  5. Effects of Self-Efficacy, Emotional Intelligence, and Perceptions of Future Work Environment on Preservice Teacher Commitment

    ERIC Educational Resources Information Center

    Chesnut, Steven R.; Cullen, Theresa A.

    2014-01-01

    This study was designed to examine the effects of self-efficacy, expectations of future work environment, and emotional intelligence on preservice teacher commitment to the teaching profession on a sample of 209 preservice teachers. The purpose of the study was to add to the existing knowledge surrounding preservice teacher commitment and promote…

  6. Effects of Self-Efficacy, Emotional Intelligence, and Perceptions of Future Work Environment on Preservice Teacher Commitment

    ERIC Educational Resources Information Center

    Chesnut, Steven R.; Cullen, Theresa A.

    2014-01-01

    This study was designed to examine the effects of self-efficacy, expectations of future work environment, and emotional intelligence on preservice teacher commitment to the teaching profession on a sample of 209 preservice teachers. The purpose of the study was to add to the existing knowledge surrounding preservice teacher commitment and promote…

  7. 3 CFR - Reviewing Our Global Signals Intelligence Collection and Communications Technologies

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... great opportunities and significant risks for our Intelligence Community: opportunity in the form of... risks in the form of insider and cyber threats. I believe it is important to take stock of how these...). The Review Group will assess whether, in light of advancements in communications technologies,...

  8. Proceedings of the 1993 Conference on Intelligent Computer-Aided Training and Virtual Environment Technology, Volume 1

    NASA Technical Reports Server (NTRS)

    Hyde, Patricia R.; Loftin, R. Bowen

    1993-01-01

    These proceedings are organized in the same manner as the conference's contributed sessions, with the papers grouped by topic area. These areas are as follows: VE (virtual environment) training for Space Flight, Virtual Environment Hardware, Knowledge Aquisition for ICAT (Intelligent Computer-Aided Training) & VE, Multimedia in ICAT Systems, VE in Training & Education (1 & 2), Virtual Environment Software (1 & 2), Models in ICAT systems, ICAT Commercial Applications, ICAT Architectures & Authoring Systems, ICAT Education & Medical Applications, Assessing VE for Training, VE & Human Systems (1 & 2), ICAT Theory & Natural Language, ICAT Applications in the Military, VE Applications in Engineering, Knowledge Acquisition for ICAT, and ICAT Applications in Aerospace.

  9. Nature vs. Nurture: Which Is More Important to Intelligence: Genes or Environment?

    ERIC Educational Resources Information Center

    Baldwin, Alexinia

    2000-01-01

    This brief article reviews the literature on the relative importance of genetic or environmental influences on intelligence. It concludes that: (1) giftedness has various expressions; (2) intelligence encompasses a wide range of human abilities; (3) both subjective and objective assessment techniques should be used; and (4) all ethnicities have…

  10. Nature vs. Nurture: Which Is More Important to Intelligence: Genes or Environment?

    ERIC Educational Resources Information Center

    Baldwin, Alexinia

    2000-01-01

    This brief article reviews the literature on the relative importance of genetic or environmental influences on intelligence. It concludes that: (1) giftedness has various expressions; (2) intelligence encompasses a wide range of human abilities; (3) both subjective and objective assessment techniques should be used; and (4) all ethnicities have…

  11. ISS Propulsion Module Crew Systems Interface Analysis in the Intelligent Synthesis Environment

    NASA Technical Reports Server (NTRS)

    Chen, Di-Wen

    1999-01-01

    ERGO, a human modeling software for ergonomic assessment and task analysis, was used for the crew systems interface analysis of the International Space Station (ISS) Propulsion Module (PM). The objective of analysis was to alleviate passageway size concerns. Three basic passageway configuration concepts: (1) 45" clear passageway without centerline offset (2) 50" clear passageway, 12" centerline offset, (3) 50" clear passageway, no centerline offset, and were reviewed. 95 percentile male and female models which were provided by the software performed crew system analysis from an anthropometric point of view. Four scenarios in which the crew floats in microgravity through a 50" no-offset passageway as they carry a 16" x 20" x 30" avionics box were simulated in the 10-weeks of intensive study. From the results of the analysis, concept (3) was the preferred option. A full scale, three-dimensional virtual model of the ISS Propulsion Module was created to experience the sense of the Intelligent Synthesis Environment and to evaluate the usability and applicability of the software.

  12. ISS Propulsion Module Crew Systems Interface Analysis in the Intelligent Synthesis Environment

    NASA Technical Reports Server (NTRS)

    Chen, Di-Wen

    1999-01-01

    ERGO, a human modeling software for ergonomic assessment and task analysis, was used for the crew systems interface analysis of the International Space Station (ISS) Propulsion Module (PM). The objective of analysis was to alleviate passageway size concerns. Three basic passageway configuration concepts: (1) 45" clear passageway without centerline offset (2) 50" clear passageway, 12" centerline offset, (3) 50" clear passageway, no centerline offset, and were reviewed. 95 percentile male and female models which were provided by the software performed crew system analysis from an anthropometric point of view. Four scenarios in which the crew floats in microgravity through a 50" no-offset passageway as they carry a 16" x 20" x 30" avionics box were simulated in the 10-weeks of intensive study. From the results of the analysis, concept (3) was the preferred option. A full scale, three-dimensional virtual model of the ISS Propulsion Module was created to experience the sense of the Intelligent Synthesis Environment and to evaluate the usability and applicability of the software.

  13. Hospital-Based Nurses’ Perceptions of the Adoption of Web 2.0 Tools for Knowledge Sharing, Learning, Social Interaction and the Production of Collective Intelligence

    PubMed Central

    2011-01-01

    Background Web 2.0 provides a platform or a set of tools such as blogs, wikis, really simple syndication (RSS), podcasts, tags, social bookmarks, and social networking software for knowledge sharing, learning, social interaction, and the production of collective intelligence in a virtual environment. Web 2.0 is also becoming increasingly popular in e-learning and e-social communities. Objectives The objectives were to investigate how Web 2.0 tools can be applied for knowledge sharing, learning, social interaction, and the production of collective intelligence in the nursing domain and to investigate what behavioral perceptions are involved in the adoption of Web 2.0 tools by nurses. Methods The decomposed technology acceptance model was applied to construct the research model on which the hypotheses were based. A questionnaire was developed based on the model and data from nurses (n = 388) were collected from late January 2009 until April 30, 2009. Pearson’s correlation analysis and t tests were used for data analysis. Results Intention toward using Web 2.0 tools was positively correlated with usage behavior (r = .60, P < .05). Behavioral intention was positively correlated with attitude (r = .72, P < .05), perceived behavioral control (r = .58, P < .05), and subjective norm (r = .45, P < .05). In their decomposed constructs, perceived usefulness (r = .7, P < .05), relative advantage (r = .64, P < .05), and compatibility (r = .60, P < .05) were positively correlated with attitude, but perceived ease of use was not significantly correlated (r = .004, P < .05) with it. Peer (r = .47, P < .05), senior management (r = .24, P < .05), and hospital (r = .45, P < .05) influences had positive correlations with subjective norm. Resource (r = .41, P < .05) and technological (r = .69, P < .05) conditions were positively correlated with perceived behavioral control. Conclusions The identified behavioral perceptions may further health policy makers’ understanding of nurses

  14. Hospital-based nurses' perceptions of the adoption of Web 2.0 tools for knowledge sharing, learning, social interaction and the production of collective intelligence.

    PubMed

    Lau, Adela S M

    2011-11-11

    Web 2.0 provides a platform or a set of tools such as blogs, wikis, really simple syndication (RSS), podcasts, tags, social bookmarks, and social networking software for knowledge sharing, learning, social interaction, and the production of collective intelligence in a virtual environment. Web 2.0 is also becoming increasingly popular in e-learning and e-social communities. The objectives were to investigate how Web 2.0 tools can be applied for knowledge sharing, learning, social interaction, and the production of collective intelligence in the nursing domain and to investigate what behavioral perceptions are involved in the adoption of Web 2.0 tools by nurses. The decomposed technology acceptance model was applied to construct the research model on which the hypotheses were based. A questionnaire was developed based on the model and data from nurses (n = 388) were collected from late January 2009 until April 30, 2009. Pearson's correlation analysis and t tests were used for data analysis. Intention toward using Web 2.0 tools was positively correlated with usage behavior (r = .60, P < .05). Behavioral intention was positively correlated with attitude (r = .72, P < .05), perceived behavioral control (r = .58, P < .05), and subjective norm (r = .45, P < .05). In their decomposed constructs, perceived usefulness (r = .7, P < .05), relative advantage (r = .64, P < .05), and compatibility (r = .60,P < .05) were positively correlated with attitude, but perceived ease of use was not significantly correlated (r = .004, P < .05) with it. Peer (r = .47, P < .05), senior management (r = .24,P < .05), and hospital (r = .45, P < .05) influences had positive correlations with subjective norm. Resource (r = .41,P < .05) and technological (r = .69,P < .05) conditions were positively correlated with perceived behavioral control. The identified behavioral perceptions may further health policy makers' understanding of nurses' concerns regarding and barriers to the adoption of Web 2

  15. Impact of a Collective Intelligence Tailored Messaging System on Smoking Cessation: The Perspect Randomized Experiment.

    PubMed

    Sadasivam, Rajani Shankar; Borglund, Erin M; Adams, Roy; Marlin, Benjamin M; Houston, Thomas K

    2016-11-08

    Outside health care, content tailoring is driven algorithmically using machine learning compared to the rule-based approach used in current implementations of computer-tailored health communication (CTHC) systems. A special class of machine learning systems ("recommender systems") are used to select messages by combining the collective intelligence of their users (ie, the observed and inferred preferences of users as they interact with the system) and their user profiles. However, this approach has not been adequately tested for CTHC. Our aim was to compare, in a randomized experiment, a standard, evidence-based, rule-based CTHC (standard CTHC) to a novel machine learning CTHC: Patient Experience Recommender System for Persuasive Communication Tailoring (PERSPeCT). We hypothesized that PERSPeCT will select messages of higher influence than our standard CTHC system. This standard CTHC was proven effective in motivating smoking cessation in a prior randomized trial of 900 smokers (OR 1.70, 95% CI 1.03-2.81). PERSPeCT is an innovative hybrid machine learning recommender system that selects and sends motivational messages using algorithms that learn from message ratings from 846 previous participants (explicit feedback), and the prior explicit ratings of each individual participant. Current smokers (N=120) aged 18 years or older, English speaking, with Internet access were eligible to participate. These smokers were randomized to receive either PERSPeCT (intervention, n=74) or standard CTHC tailored messages (n=46). The study was conducted between October 2014 and January 2015. By randomization, we compared daily message ratings (mean of smoker ratings each day). At 30 days, we assessed the intervention's perceived influence, 30-day cessation, and changes in readiness to quit from baseline. The proportion of days when smokers agreed/strongly agreed (daily rating ≥4) that the messages influenced them to quit was significantly higher for PERSPeCT (73%, 23/30) than

  16. Impact of a Collective Intelligence Tailored Messaging System on Smoking Cessation: The Perspect Randomized Experiment

    PubMed Central

    Borglund, Erin M; Adams, Roy; Marlin, Benjamin M; Houston, Thomas K

    2016-01-01

    Background Outside health care, content tailoring is driven algorithmically using machine learning compared to the rule-based approach used in current implementations of computer-tailored health communication (CTHC) systems. A special class of machine learning systems (“recommender systems”) are used to select messages by combining the collective intelligence of their users (ie, the observed and inferred preferences of users as they interact with the system) and their user profiles. However, this approach has not been adequately tested for CTHC. Objective Our aim was to compare, in a randomized experiment, a standard, evidence-based, rule-based CTHC (standard CTHC) to a novel machine learning CTHC: Patient Experience Recommender System for Persuasive Communication Tailoring (PERSPeCT). We hypothesized that PERSPeCT will select messages of higher influence than our standard CTHC system. This standard CTHC was proven effective in motivating smoking cessation in a prior randomized trial of 900 smokers (OR 1.70, 95% CI 1.03-2.81). Methods PERSPeCT is an innovative hybrid machine learning recommender system that selects and sends motivational messages using algorithms that learn from message ratings from 846 previous participants (explicit feedback), and the prior explicit ratings of each individual participant. Current smokers (N=120) aged 18 years or older, English speaking, with Internet access were eligible to participate. These smokers were randomized to receive either PERSPeCT (intervention, n=74) or standard CTHC tailored messages (n=46). The study was conducted between October 2014 and January 2015. By randomization, we compared daily message ratings (mean of smoker ratings each day). At 30 days, we assessed the intervention’s perceived influence, 30-day cessation, and changes in readiness to quit from baseline. Results The proportion of days when smokers agreed/strongly agreed (daily rating ≥4) that the messages influenced them to quit was significantly

  17. Nurture Net of Nature: Re-Evaluating the Role of Shared Environments in Academic Achievement and Verbal Intelligence

    PubMed Central

    Daw, Jonathan; Guo, Guang; Harris, Kathie Mullan

    2016-01-01

    Prominent authors in the behavioral genetics tradition have long argued that shared environments do not meaningfully shape intelligence and academic achievement. However, we argue that these conclusions are erroneous due to large violations of the additivity assumption underlying behavioral genetics methods – that sources of genetic and shared and nonshared environmental variance are independent and non-interactive. This is compounded in some cases by the theoretical equation of the effective and objective environments, where the former is defined by whether siblings are made more or less similar, and the latter by whether siblings are equally subject to the environmental characteristic in question. Using monozygotic twin fixed effects models, which compare outcomes among genetically identical pairs, we show that many characteristics of objectively shared environments significantly moderate the effects of nonshared environments on adolescent academic achievement and verbal intelligence, violating the additivity assumption of behavioral genetic methods. Importantly, these effects would be categorized as nonshared environmental influences in standard twin models despite their roots in shared environments. These findings should encourage caution among those who claim that the frequently trivial variance attributed to shared environments in behavioral genetic models means that families, schools, and neighborhoods do not meaningfully influence these outcomes. PMID:26004471

  18. Nurture net of nature: Re-evaluating the role of shared environments in academic achievement and verbal intelligence.

    PubMed

    Daw, Jonathan; Guo, Guang; Harris, Kathie Mullan

    2015-07-01

    Prominent authors in the behavioral genetics tradition have long argued that shared environments do not meaningfully shape intelligence and academic achievement. However, we argue that these conclusions are erroneous due to large violations of the additivity assumption underlying behavioral genetics methods - that sources of genetic and shared and nonshared environmental variance are independent and non-interactive. This is compounded in some cases by the theoretical equation of the effective and objective environments, where the former is defined by whether siblings are made more or less similar, and the latter by whether siblings are equally subject to the environmental characteristic in question. Using monozygotic twin fixed effects models, which compare outcomes among genetically identical pairs, we show that many characteristics of objectively shared environments significantly moderate the effects of nonshared environments on adolescent academic achievement and verbal intelligence, violating the additivity assumption of behavioral genetic methods. Importantly, these effects would be categorized as nonshared environmental influences in standard twin models despite their roots in shared environments. These findings should encourage caution among those who claim that the frequently trivial variance attributed to shared environments in behavioral genetic models means that families, schools, and neighborhoods do not meaningfully influence these outcomes.

  19. Optimizing Classification in Intelligence Processing

    DTIC Science & Technology

    2010-12-01

    ACC Classification Accuracy AUC Area Under the ROC Curve CI Competitive Intelligence COMINT Communications Intelligence DoD Department of...indispensible tool to support a national leader’s decision making process, competitive intelligence (CI) has emerged in recent decades as an environment meant...effectiveness for the intelligence product in competitive intelligence environment: accuracy, objectivity, usability, relevance, readiness, and timeliness

  20. Efficient High Performance Collective Communication for Distributed Memory Environments

    ERIC Educational Resources Information Center

    Ali, Qasim

    2009-01-01

    Collective communication allows efficient communication and synchronization among a collection of processes, unlike point-to-point communication that only involves a pair of communicating processes. Achieving high performance for both kernels and full-scale applications running on a distributed memory system requires an efficient implementation of…

  1. Efficient High Performance Collective Communication for Distributed Memory Environments

    ERIC Educational Resources Information Center

    Ali, Qasim

    2009-01-01

    Collective communication allows efficient communication and synchronization among a collection of processes, unlike point-to-point communication that only involves a pair of communicating processes. Achieving high performance for both kernels and full-scale applications running on a distributed memory system requires an efficient implementation of…

  2. Model of human collective decision-making in complex environments

    NASA Astrophysics Data System (ADS)

    Carbone, Giuseppe; Giannoccaro, Ilaria

    2015-12-01

    A continuous-time Markov process is proposed to analyze how a group of humans solves a complex task, consisting in the search of the optimal set of decisions on a fitness landscape. Individuals change their opinions driven by two different forces: (i) the self-interest, which pushes them to increase their own fitness values, and (ii) the social interactions, which push individuals to reduce the diversity of their opinions in order to reach consensus. Results show that the performance of the group is strongly affected by the strength of social interactions and by the level of knowledge of the individuals. Increasing the strength of social interactions improves the performance of the team. However, too strong social interactions slow down the search of the optimal solution and worsen the performance of the group. In particular, we find that the threshold value of the social interaction strength, which leads to the emergence of a superior intelligence of the group, is just the critical threshold at which the consensus among the members sets in. We also prove that a moderate level of knowledge is already enough to guarantee high performance of the group in making decisions.

  3. Distributed Intelligence.

    ERIC Educational Resources Information Center

    McLagan, Patricia A.

    2003-01-01

    Distributed intelligence occurs when people in an organization take responsibility for creating innovations, solving problems, and making decisions. Organizations that have it excel in their markets and the global environment. (Author/JOW)

  4. Participatory Learning Environments and Collective Meaning Making Practice

    ERIC Educational Resources Information Center

    Reilly, Erin B.

    2011-01-01

    The new media literacies (NMLs) are a set of social skills and cultural competencies that students and teachers need to acquire in order to fully participate in the new media environment. NMLs shift the focus of traditional literacy from individual expression to community involvement. They offer ways of both thinking and doing that recruit the…

  5. Automated mainframe data collection in a network environment

    NASA Technical Reports Server (NTRS)

    Gross, David L.

    1994-01-01

    The progress and direction of the computer industry have resulted in widespread use of dissimilar and incompatible mainframe data systems. Data collection from these multiple systems is a labor intensive task. In the past, data collection had been restricted to the efforts of personnel specially trained on each system. Information is one of the most important resources an organizations has. Any improvement in an organization's ability to access and manage that information provides a competitive advantage. This problem of data collection is compounded at NASA sites by multi-center and contractor operations. The Centralized Automated Data Retrieval System (CADRS) is designed to provide a common interface that would permit data access, query, and retrieval from multiple contractor and NASA systems. The methods developed for CADRS have a strong commercial potential in that they would be applicable for any industry that needs inter-department, inter-company, or inter-agency data communications. The widespread use of multi-system data networks, that combine older legacy systems with newer decentralized networks, has made data retrieval a critical problem for information dependent industries. Implementing the technology discussed in this paper would reduce operational expense and improve data collection on these composite data systems.

  6. Collectively loading programs in a multiple program multiple data environment

    DOEpatents

    Aho, Michael E.; Attinella, John E.; Gooding, Thomas M.; Gooding, Thomas M.; Miller, Samuel J.

    2016-11-08

    Techniques are disclosed for loading programs efficiently in a parallel computing system. In one embodiment, nodes of the parallel computing system receive a load description file which indicates, for each program of a multiple program multiple data (MPMD) job, nodes which are to load the program. The nodes determine, using collective operations, a total number of programs to load and a number of programs to load in parallel. The nodes further generate a class route for each program to be loaded in parallel, where the class route generated for a particular program includes only those nodes on which the program needs to be loaded. For each class route, a node is selected using a collective operation to be a load leader which accesses a file system to load the program associated with a class route and broadcasts the program via the class route to other nodes which require the program.

  7. The "Intelligent Classroom": Changing Teaching and Learning with an Evolving Technological Environment.

    ERIC Educational Resources Information Center

    Winer, Laura R.; Cooperstock, Jeremy

    2002-01-01

    Describes the development and use of the Intelligent Classroom collaborative project at McGill University that explored technology use to improve teaching and learning. Explains the hardware and software installation that allows for the automated capture of audio, video, slides, and handwritten annotations during a live lecture, with subsequent…

  8. 'My Virtual Dream': Collective Neurofeedback in an Immersive Art Environment.

    PubMed

    Kovacevic, Natasha; Ritter, Petra; Tays, William; Moreno, Sylvain; McIntosh, Anthony Randal

    2015-01-01

    While human brains are specialized for complex and variable real world tasks, most neuroscience studies reduce environmental complexity, which limits the range of behaviours that can be explored. Motivated to overcome this limitation, we conducted a large-scale experiment with electroencephalography (EEG) based brain-computer interface (BCI) technology as part of an immersive multi-media science-art installation. Data from 523 participants were collected in a single night. The exploratory experiment was designed as a collective computer game where players manipulated mental states of relaxation and concentration with neurofeedback targeting modulation of relative spectral power in alpha and beta frequency ranges. Besides validating robust time-of-night effects, gender differences and distinct spectral power patterns for the two mental states, our results also show differences in neurofeedback learning outcome. The unusually large sample size allowed us to detect unprecedented speed of learning changes in the power spectrum (~ 1 min). Moreover, we found that participants' baseline brain activity predicted subsequent neurofeedback beta training, indicating state-dependent learning. Besides revealing these training effects, which are relevant for BCI applications, our results validate a novel platform engaging art and science and fostering the understanding of brains under natural conditions.

  9. Guidelines for Intelligence Personnel. Criminal Justice Research. Prevention and Control of Collective Violence, Volume III.

    ERIC Educational Resources Information Center

    Callahan, W. Thomas; Knoblauch, Richard L.

    The objective of this study is to provide local law enforcement agencies with guidelines for the collection and dissemination of elements of information required for sound decision making in response to the threat or actual initiation of collective violence. Informal, semi-structured interviews in fourteen selected cities and six State police…

  10. Association of the Nurse Work Environment, Collective Efficacy, and Missed Care.

    PubMed

    Smith, Jessica G; Morin, Karen H; Wallace, Leigh E; Lake, Eileen T

    2017-10-01

    Missed nursing care is a significant threat to quality patient care. Promoting collective efficacy within nurse work environments could decrease missed care. The purpose was to understand how missed care is associated with nurse work environments and collective efficacy of hospital staff nurses. A cross-sectional, convenience sample was obtained through online surveys from registered nurses working at five southwestern U.S. hospitals. Descriptive, correlational, regression, and path analyses were conducted ( N = 233). The percentage of nurses who reported that at least one care activity was missed frequently or always was 94%. Mouth care (36.0% of nurses) and ambulation (35.3%) were missed frequently or always. Nurse work environments and collective efficacy were moderately, positively correlated. Nurse work environments and collective efficacy were associated with less missed care (χ(2) = 10.714, p = .0054). Fostering collective efficacy in the nurse work environment could reduce missed care and improve patient outcomes.

  11. How to improve WEEE management? Novel approach in mobile collection with application of artificial intelligence.

    PubMed

    Król, Aleksander; Nowakowski, Piotr; Mrówczyńska, Bogna

    2016-04-01

    In global demand of improvement of electrical and electronic waste management systems, stakeholders look for effective collection systems that generate minimal costs. In this study we propose a novel model for application in mobile collection schemes - on demand that waste be taken back from household residents. This type of the waste equipment collection is comfortable for residents as they can indicate day and time windows for the take-back. Collecting companies are interested in lowering operational costs required for service. This lowering includes selection of a sufficient number of vehicles and employees, and then minimising the routes' length in order to achieve savings in fuel consumption, and lowering of emissions. In the proposed model we use a genetic algorithm for optimisation of the route length and number of vehicles and fuzzy logic for representation of the household residents' satisfaction on the take-back service provided by collection companies. Also, modern communication channels like websites or mobile phone applications can be used to send the waste equipment take-back request from the household, so it has the potential to be developed in future applications. The operation of the model has been presented in the case study of a city in southern Poland. The results can be useful for collecting companies and software producers for preparation of new applications to be used in waste collection. Copyright © 2016 Elsevier Ltd. All rights reserved.

  12. 75 FR 50745 - Information Collection; National Survey on Recreation and the Environment (NSRE)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-17

    ... Forest Service Information Collection; National Survey on Recreation and the Environment (NSRE) AGENCY... the Environment. DATES: Comments must be received in writing on or before October 18, 2010 to be... the Environment. OMB Number: 0596-0127. Expiration Date of Approval: 1/31/11. Type of Request...

  13. 77 FR 30021 - Agency Information Collection Activities: Application To Use the Automated Commercial Environment...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-05-21

    ... the Automated Commercial Environment (ACE) AGENCY: U.S. Customs and Border Protection, Department of... Commercial Environment (ACE). This is a proposed extension of an information collection that was previously...: None. Abstract: The Automated Commercial Environment (ACE) is a trade processing system that will...

  14. 77 FR 14535 - Agency Information Collection Activities: Application To Use the Automated Commercial Environment...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-03-12

    ... the Automated Commercial Environment (ACE) AGENCY: U.S. Customs and Border Protection (CBP... collection requirement concerning the Application to Use the Automated Commercial Environment (ACE). This... Commercial Environment (ACE) is a trade processing system that will eventually replace the Automated...

  15. Collective Intelligence: Aggregation of Information from Neighbors in a Guessing Game

    PubMed Central

    Pérez, Toni; Zamora, Jordi; Eguíluz, Víctor M.

    2016-01-01

    Complex systems show the capacity to aggregate information and to display coordinated activity. In the case of social systems the interaction of different individuals leads to the emergence of norms, trends in political positions, opinions, cultural traits, and even scientific progress. Examples of collective behavior can be observed in activities like the Wikipedia and Linux, where individuals aggregate their knowledge for the benefit of the community, and citizen science, where the potential of collectives to solve complex problems is exploited. Here, we conducted an online experiment to investigate the performance of a collective when solving a guessing problem in which each actor is endowed with partial information and placed as the nodes of an interaction network. We measure the performance of the collective in terms of the temporal evolution of the accuracy, finding no statistical difference in the performance for two classes of networks, regular lattices and random networks. We also determine that a Bayesian description captures the behavior pattern the individuals follow in aggregating information from neighbors to make decisions. In comparison with other simple decision models, the strategy followed by the players reveals a suboptimal performance of the collective. Our contribution provides the basis for the micro-macro connection between individual based descriptions and collective phenomena. PMID:27093274

  16. Progressions of Qualitative Models as a Foundation for Intelligent Learning Environments

    DTIC Science & Technology

    1986-05-01

    J. (1979). Causal and teleological reasoning in circuit recognition. TR-529. MIT’ Artificial Intelligence Laboratory. Cambridge. MA. deler. J. (1995...Soloway. E. (1984). Intention-based diagnosis of progranming errors. In Procedings of the National Conference on Artificial jn~ience. Austin. Texas: NCAI...examples. Cognitive Psychology 17, 26-65. O’Shea, T. (1982). A sell-improving quadratic tutor. in Sleeman. D., & Brown. 3. S. (Eds.). Inteligent Tutoring

  17. ENcentive: A Framework for Intelligent Marketing in Mobile Peer-To-Peer Environments

    DTIC Science & Technology

    2005-01-01

    circulation since businesses that originally created the promotions re- ward the active distributors with additional promotions and other compensations...trade and commu- nication strategies, mobile electronic marketing, intelligent agents, collaborative eCommerce 1. INTRODUCTION With the explosion of...gadgets, applications and services, comes a set of new business models that address the needs of such mobile users. Mobile commerce is a new way to do

  18. A Binaural Grouping Model for Predicting Speech Intelligibility in Multitalker Environments

    PubMed Central

    Colburn, H. Steven

    2016-01-01

    Spatially separating speech maskers from target speech often leads to a large intelligibility improvement. Modeling this phenomenon has long been of interest to binaural-hearing researchers for uncovering brain mechanisms and for improving signal-processing algorithms in hearing-assistive devices. Much of the previous binaural modeling work focused on the unmasking enabled by binaural cues at the periphery, and little quantitative modeling has been directed toward the grouping or source-separation benefits of binaural processing. In this article, we propose a binaural model that focuses on grouping, specifically on the selection of time-frequency units that are dominated by signals from the direction of the target. The proposed model uses Equalization-Cancellation (EC) processing with a binary decision rule to estimate a time-frequency binary mask. EC processing is carried out to cancel the target signal and the energy change between the EC input and output is used as a feature that reflects target dominance in each time-frequency unit. The processing in the proposed model requires little computational resources and is straightforward to implement. In combination with the Coherence-based Speech Intelligibility Index, the model is applied to predict the speech intelligibility data measured by Marrone et al. The predicted speech reception threshold matches the pattern of the measured data well, even though the predicted intelligibility improvements relative to the colocated condition are larger than some of the measured data, which may reflect the lack of internal noise in this initial version of the model. PMID:27698261

  19. A Binaural Grouping Model for Predicting Speech Intelligibility in Multitalker Environments.

    PubMed

    Mi, Jing; Colburn, H Steven

    2016-10-03

    Spatially separating speech maskers from target speech often leads to a large intelligibility improvement. Modeling this phenomenon has long been of interest to binaural-hearing researchers for uncovering brain mechanisms and for improving signal-processing algorithms in hearing-assistive devices. Much of the previous binaural modeling work focused on the unmasking enabled by binaural cues at the periphery, and little quantitative modeling has been directed toward the grouping or source-separation benefits of binaural processing. In this article, we propose a binaural model that focuses on grouping, specifically on the selection of time-frequency units that are dominated by signals from the direction of the target. The proposed model uses Equalization-Cancellation (EC) processing with a binary decision rule to estimate a time-frequency binary mask. EC processing is carried out to cancel the target signal and the energy change between the EC input and output is used as a feature that reflects target dominance in each time-frequency unit. The processing in the proposed model requires little computational resources and is straightforward to implement. In combination with the Coherence-based Speech Intelligibility Index, the model is applied to predict the speech intelligibility data measured by Marrone et al. The predicted speech reception threshold matches the pattern of the measured data well, even though the predicted intelligibility improvements relative to the colocated condition are larger than some of the measured data, which may reflect the lack of internal noise in this initial version of the model.

  20. Intelligent Intervention.

    ERIC Educational Resources Information Center

    Scarr, Sandra

    Research has shown that differences among ordinary people in intelligence and personality depend equally on individual genetic variability and on differences in the environments that siblings experience within the same family, not differences in the neighborhood, school, and community environments. As of yet, there are no adequate theories to…

  1. Intelligent Intervention.

    ERIC Educational Resources Information Center

    Scarr, Sandra

    Research has shown that differences among ordinary people in intelligence and personality depend equally on individual genetic variability and on differences in the environments that siblings experience within the same family, not differences in the neighborhood, school, and community environments. As of yet, there are no adequate theories to…

  2. Evaluation of distinct input methods of an intelligent wheelchair in simulated and real environments: a performance and usability study.

    PubMed

    Faria, Brígida Mónica; Vasconcelos, Sérgio; Reis, Luís Paulo; Lau, Nuno

    2013-01-01

    This article focuses on evaluating the usability of an intelligent wheelchair (IW) in both real and simulated environments. The wheelchair is controlled at a high-level by a flexible multimodal interface, using voice commands, facial expressions, head movements and joystick as its main inputs. A quasi-experimental design was applied including a deterministic sample with a questionnaire that enabled to apply the system usability scale. The subjects were divided in two independent samples: 46 individuals performing the experiment with an IW in a simulated environment (28 using different commands in a sequential way and 18 with the liberty to choose the command); 12 individuals performing the experiment with a real IW The main conclusion achieved by this study is that the usability of the IW in a real environment is higher than in the simulated environment. However, there were not statistical evidences to affirm that there are differences between the real and simulated wheelchairs in terms of safety and control. Also, most of users considered the multimodal way of driving the wheelchair very practical and satisfactory. Thus, it may be concluded that the multimodal interfaces enables very easy and safe control of the IW both in simulated and real environments.

  3. The rules of information aggregation and emergence of collective intelligent behavior

    SciTech Connect

    Bettencourt, Luis

    2008-01-01

    Information is a peculiar quantity. Unlike matter or energy, the aggregation of knowledge from many individuals can in fact produce more (or less) information than the sum of its parts. We use the formalism of information theory to derive general principles of information aggregation and collective organization under which information pooling can be synergetic or to identify when it will be redundant. We then show how several problems of collective cognition and coordination can be understood in terms of the conditions that allow for the minimization of uncertainty (maximization of predictability) under information pooling over many individuals. We discuss in some detail how collective coordination in swarms, markets, language processing and collaborative filtering may be guided by the optimal aggregation of information over many sources and identify circumstances when these processes fail, leading e.g. to inefficient markets. The contrast to approaches to understand coordination and collaboration via traditional decision and game theory is discussed as well as the incentives to individuals and groups to find optimal information aggregation mechanisms.

  4. Swarm intelligence in animal groups: when can a collective out-perform an expert?

    PubMed

    Katsikopoulos, Konstantinos V; King, Andrew J

    2010-11-24

    An important potential advantage of group-living that has been mostly neglected by life scientists is that individuals in animal groups may cope more effectively with unfamiliar situations. Social interaction can provide a solution to a cognitive problem that is not available to single individuals via two potential mechanisms: (i) individuals can aggregate information, thus augmenting their 'collective cognition', or (ii) interaction with conspecifics can allow individuals to follow specific 'leaders', those experts with information particularly relevant to the decision at hand. However, a-priori, theory-based expectations about which of these decision rules should be preferred are lacking. Using a set of simple models, we present theoretical conditions (involving group size, and diversity of individual information) under which groups should aggregate information, or follow an expert, when faced with a binary choice. We found that, in single-shot decisions, experts are almost always more accurate than the collective across a range of conditions. However, for repeated decisions - where individuals are able to consider the success of previous decision outcomes - the collective's aggregated information is almost always superior. The results improve our understanding of how social animals may process information and make decisions when accuracy is a key component of individual fitness, and provide a solid theoretical framework for future experimental tests where group size, diversity of individual information, and the repeatability of decisions can be measured and manipulated.

  5. Smart Collections: Can Artificial Intelligence Tools and Techniques Assist with Discovering, Evaluating and Tagging Digital Learning Resources?

    ERIC Educational Resources Information Center

    Leibbrandt, Richard; Yang, Dongqiang; Pfitzner, Darius; Powers, David; Mitchell, Pru; Hayman, Sarah; Eddy, Helen

    2010-01-01

    This paper reports on a joint proof of concept project undertaken by researchers from the Flinders University Artificial Intelligence Laboratory in partnership with information managers from the Education Network Australia (edna) team at Education Services Australia to address the question of whether artificial intelligence techniques could be…

  6. The Relation Between Collective Bargaining Environments, and Principal Selection and Organizational Behavior Perceptions.

    ERIC Educational Resources Information Center

    Caldwell, William E.; Curfman, Walter L.

    This study examined the effect of collective bargaining environments on principal hiring and school administrator behavior perceptions. Specifically, researchers hypothesized that small or medium sized school districts that engage in collective bargaining will hire significantly more outsiders as principals than will similar districts in…

  7. The Relation Between Collective Bargaining Environments, and Principal Selection and Organizational Behavior Perceptions.

    ERIC Educational Resources Information Center

    Caldwell, William E.; Curfman, Walter L.

    This study examined the effect of collective bargaining environments on principal hiring and school administrator behavior perceptions. Specifically, researchers hypothesized that small or medium sized school districts that engage in collective bargaining will hire significantly more outsiders as principals than will similar districts in…

  8. Enhancing Social Search: A Computational Collective Intelligence Model of Behavioural Traits, Trust and Time

    NASA Astrophysics Data System (ADS)

    Longo, Luca; Dondio, Pierpaolo; Barrett, Stephen

    The Web has been growing in size and with the proliferation of large-scale collaborative computing environments, Social Search has become increasingly important. This recent field focuses on assigning relevance to Web-pages by considering the reader's perspective rather than Web-masters' point of view. Current searching technologies of this form tend to rely on explicit human recommendations. In part because it is hard to obtain user feedback, these methods are hard to scale. The challenge is in producing implicit rankings, by reasoning over users' Web-search activity, without recourse to explicit human intervention. This paper focuses on a novel Social Search model based on Information Foraging Theory, Effort and Computational Trust, showing a different way to implicitly judge Web-entities. The formalism has been divided in two sub-models. The first considers the effort expended by users, in viewing Web-sites, to assess their relevance to a given searching problem. The second enhances the first sub-model by considering only the most trustworthy users' opinions, identified by Computational Trust techniques.

  9. Fuzzy Cognitive and Social Negotiation Agent Strategy for Computational Collective Intelligence

    NASA Astrophysics Data System (ADS)

    Chohra, Amine; Madani, Kurosh; Kanzari, Dalel

    Finding the adequate (win-win solutions for both parties) negotiation strategy with incomplete information for autonomous agents, even in one-to-one negotiation, is a complex problem. Elsewhere, negotiation behaviors, in which the characters such as conciliatory or aggressive define a 'psychological' aspect of the negotiator personality, play an important role. The aim of this paper is to develop a fuzzy cognitive and social negotiation strategy for autonomous agents with incomplete information, where the characters conciliatory, neutral, or aggressive, are suggested to be integrated in negotiation behaviors (inspired from research works aiming to analyze human behavior and those on social negotiation psychology). For this purpose, first, one-to-one bargaining process, in which a buyer agent and a seller agent negotiate over single issue (price), is developed for a time-dependent strategy (based on time-dependent behaviors of Faratin et al.) and for a fuzzy cognitive and social strategy. Second, experimental environments and measures, allowing a set of experiments, carried out for different negotiation deadlines of buyer and seller agents, are detailed. Third, experimental results for both time-dependent and fuzzy cognitive and social strategies are presented, analyzed, and compared for different deadlines of agents. The suggested fuzzy cognitive and social strategy allows agents to improve the negotiation process, with regard to the time-dependent one, in terms of agent utilities, round number to reach an agreement, and percentage of agreements.

  10. Collective-Intelligence Recommender Systems: Advancing Computer Tailoring for Health Behavior Change Into the 21st Century

    PubMed Central

    Cutrona, Sarah L; Kinney, Rebecca L; Marlin, Benjamin M; Mazor, Kathleen M; Lemon, Stephenie C; Houston, Thomas K

    2016-01-01

    Background What is the next frontier for computer-tailored health communication (CTHC) research? In current CTHC systems, study designers who have expertise in behavioral theory and mapping theory into CTHC systems select the variables and develop the rules that specify how the content should be tailored, based on their knowledge of the targeted population, the literature, and health behavior theories. In collective-intelligence recommender systems (hereafter recommender systems) used by Web 2.0 companies (eg, Netflix and Amazon), machine learning algorithms combine user profiles and continuous feedback ratings of content (from themselves and other users) to empirically tailor content. Augmenting current theory-based CTHC with empirical recommender systems could be evaluated as the next frontier for CTHC. Objective The objective of our study was to uncover barriers and challenges to using recommender systems in health promotion. Methods We conducted a focused literature review, interviewed subject experts (n=8), and synthesized the results. Results We describe (1) limitations of current CTHC systems, (2) advantages of incorporating recommender systems to move CTHC forward, and (3) challenges to incorporating recommender systems into CTHC. Based on the evidence presented, we propose a future research agenda for CTHC systems. Conclusions We promote discussion of ways to move CTHC into the 21st century by incorporation of recommender systems. PMID:26952574

  11. Collective-Intelligence Recommender Systems: Advancing Computer Tailoring for Health Behavior Change Into the 21st Century.

    PubMed

    Sadasivam, Rajani Shankar; Cutrona, Sarah L; Kinney, Rebecca L; Marlin, Benjamin M; Mazor, Kathleen M; Lemon, Stephenie C; Houston, Thomas K

    2016-03-07

    What is the next frontier for computer-tailored health communication (CTHC) research? In current CTHC systems, study designers who have expertise in behavioral theory and mapping theory into CTHC systems select the variables and develop the rules that specify how the content should be tailored, based on their knowledge of the targeted population, the literature, and health behavior theories. In collective-intelligence recommender systems (hereafter recommender systems) used by Web 2.0 companies (eg, Netflix and Amazon), machine learning algorithms combine user profiles and continuous feedback ratings of content (from themselves and other users) to empirically tailor content. Augmenting current theory-based CTHC with empirical recommender systems could be evaluated as the next frontier for CTHC. The objective of our study was to uncover barriers and challenges to using recommender systems in health promotion. We conducted a focused literature review, interviewed subject experts (n=8), and synthesized the results. We describe (1) limitations of current CTHC systems, (2) advantages of incorporating recommender systems to move CTHC forward, and (3) challenges to incorporating recommender systems into CTHC. Based on the evidence presented, we propose a future research agenda for CTHC systems. We promote discussion of ways to move CTHC into the 21st century by incorporation of recommender systems.

  12. iPixel: a visual content-based and semantic search engine for retrieving digitized mammograms by using collective intelligence.

    PubMed

    Alor-Hernández, Giner; Pérez-Gallardo, Yuliana; Posada-Gómez, Rubén; Cortes-Robles, Guillermo; Rodríguez-González, Alejandro; Aguilar-Laserre, Alberto A

    2012-09-01

    Nowadays, traditional search engines such as Google, Yahoo and Bing facilitate the retrieval of information in the format of images, but the results are not always useful for the users. This is mainly due to two problems: (1) the semantic keywords are not taken into consideration and (2) it is not always possible to establish a query using the image features. This issue has been covered in different domains in order to develop content-based image retrieval (CBIR) systems. The expert community has focussed their attention on the healthcare domain, where a lot of visual information for medical analysis is available. This paper provides a solution called iPixel Visual Search Engine, which involves semantics and content issues in order to search for digitized mammograms. iPixel offers the possibility of retrieving mammogram features using collective intelligence and implementing a CBIR algorithm. Our proposal compares not only features with similar semantic meaning, but also visual features. In this sense, the comparisons are made in different ways: by the number of regions per image, by maximum and minimum size of regions per image and by average intensity level of each region. iPixel Visual Search Engine supports the medical community in differential diagnoses related to the diseases of the breast. The iPixel Visual Search Engine has been validated by experts in the healthcare domain, such as radiologists, in addition to experts in digital image analysis.

  13. Low Cost Intelligent Pervasive Location Tracking (iPLOT) in All Environments for the Management of Crime

    NASA Astrophysics Data System (ADS)

    Mautz, Rainer; Ochieng, Washington; Walsh, David; Brodin, Gary; Kemp, Andy; Cooper, John; Son Le, Thanh

    2006-05-01

    This paper details the current status of the development of an ‘automatic’ low-cost system based on wireless communications technology to provide continuous tracking of the location of devices in all environments. This task requires a multi-disciplinary approach combining communications systems design, digital signal processing to extract ranges and, importantly, approaches from the field of geodesy to develop novel network positioning techniques for ad-hoc networks. Such a network will support a number of services relevant to crime management where seamless tracking is required. The paper discusses the process for developing the system, christened intelligent pervasive location tracking (iPLOT), with a particular reference to user and system requirements, and how these have been used to explore a network positioning strategy.

  14. Speech intelligibility in noisy environments with one- and two-microphone hearing aids.

    PubMed

    Wouters, J; Litière, L; van Wieringen, A

    1999-01-01

    In this study speech intelligibility in background noise was evaluated with 10 binaural hearing-aid users for hearing aids with one omnidirectional microphone and a hearing aid with a two-microphone configuration (enabling an omnidirectional as well as a directional mode). Signal-to-noise ratio (SNR) measurements were carried out for three different types of background noise (speech-weighted noise, traffic noise and restaurant noise) and two kinds of speech material (bisyllabic word lists and sentences). The average SNR improvement of the directional microphone configuration relative to the omnidirectional one was 3.4 dB for noise presented from 90 degrees azimuth. This improvement was independent of the specific type of noise and speech material, indicating that one speech-in-noise condition may yield enough relevant information in the evaluation of directional microphones and speech understanding in noise.

  15. An Intelligent and Interactive Simulation and Tutoring Environment for Exploring and Learning Simple Machines

    NASA Astrophysics Data System (ADS)

    Myneni, Lakshman Sundeep

    Students in middle school science classes have difficulty mastering physics concepts such as energy and work, taught in the context of simple machines. Moreover, students' naive conceptions of physics often remain unchanged after completing a science class. To address this problem, I developed an intelligent tutoring system, called the Virtual Physics System (ViPS), which coaches students through problem solving with one class of simple machines, pulley systems. The tutor uses a unique cognitive based approach to teaching simple machines, and includes innovations in three areas. (1) It employs a teaching strategy that focuses on highlighting links among concepts of the domain that are essential for conceptual understanding yet are seldom learned by students. (2) Concepts are taught through a combination of effective human tutoring techniques (e.g., hinting) and simulations. (3) For each student, the system identifies which misconceptions he or she has, from a common set of student misconceptions gathered from domain experts, and tailors tutoring to match the correct line of scientific reasoning regarding the misconceptions. ViPS was implemented as a platform on which students can design and simulate pulley system experiments, integrated with a constraint-based tutor that intervenes when students make errors during problem solving to teach them and to help them. ViPS has a web-based client-server architecture, and has been implemented using Java technologies. ViPS is different from existing physics simulations and tutoring systems due to several original features. (1). It is the first system to integrate a simulation based virtual experimentation platform with an intelligent tutoring component. (2) It uses a novel approach, based on Bayesian networks, to help students construct correct pulley systems for experimental simulation. (3) It identifies student misconceptions based on a novel decision tree applied to student pretest scores, and tailors tutoring to

  16. Activity Inference for Ambient Intelligence Through Handling Artifacts in a Healthcare Environment

    PubMed Central

    Martínez-Pérez, Francisco E.; González-Fraga, Jose Ángel; Cuevas-Tello, Juan C.; Rodríguez, Marcela D.

    2012-01-01

    Human activity inference is not a simple process due to distinct ways of performing it. Our proposal presents the SCAN framework for activity inference. SCAN is divided into three modules: (1) artifact recognition, (2) activity inference, and (3) activity representation, integrating three important elements of Ambient Intelligence (AmI) (artifact-behavior modeling, event interpretation and context extraction). The framework extends the roaming beat (RB) concept by obtaining the representation using three kinds of technologies for activity inference. The RB is based on both analysis and recognition from artifact behavior for activity inference. A practical case is shown in a nursing home where a system affording 91.35% effectiveness was implemented in situ. Three examples are shown using RB representation for activity representation. Framework description, RB description and CALog system overcome distinct problems such as the feasibility to implement AmI systems, and to show the feasibility for accomplishing the challenges related to activity recognition based on artifact recognition. We discuss how the use of RBs might positively impact the problems faced by designers and developers for recovering information in an easier manner and thus they can develop tools focused on the user. PMID:22368512

  17. Activity inference for Ambient Intelligence through handling artifacts in a healthcare environment.

    PubMed

    Martínez-Pérez, Francisco E; González-Fraga, Jose Ángel; Cuevas-Tello, Juan C; Rodríguez, Marcela D

    2012-01-01

    Human activity inference is not a simple process due to distinct ways of performing it. Our proposal presents the SCAN framework for activity inference. SCAN is divided into three modules: (1) artifact recognition, (2) activity inference, and (3) activity representation, integrating three important elements of Ambient Intelligence (AmI) (artifact-behavior modeling, event interpretation and context extraction). The framework extends the roaming beat (RB) concept by obtaining the representation using three kinds of technologies for activity inference. The RB is based on both analysis and recognition from artifact behavior for activity inference. A practical case is shown in a nursing home where a system affording 91.35% effectiveness was implemented in situ. Three examples are shown using RB representation for activity representation. Framework description, RB description and CALog system overcome distinct problems such as the feasibility to implement AmI systems, and to show the feasibility for accomplishing the challenges related to activity recognition based on artifact recognition. We discuss how the use of RBs might positively impact the problems faced by designers and developers for recovering information in an easier manner and thus they can develop tools focused on the user.

  18. Data Management in an Intelligent Environment for Cognitive Disabled and Elderly People

    NASA Astrophysics Data System (ADS)

    Loniewski, Grzegorz; Ramon, Emilio Lorente; Walderhaug, Ståle; Martinez Franco, Sixto; Cubillos Esteve, Juan Jose; Marco, Eduardo Sebastian

    Recently intelligent and personalized medical systems tend to be one of the most important branches of the health-care domain, playing a great role in improving the quality of life of people that want to feel safe and to be assisted not regarding the place they are. This paper presents an innovative way of data management based on a middleware platform providing services for fast and easy creation of applications dealing with the problems of taking care of patients in their homes. The work was carried out as a part of the MPOWER project, funded by the EU 6th Framework Programme, and carried out by a multinational development team. The project focuses on supporting activities of daily living and provides services for elderly and cognitive disabled, e.g. people with dementia. The MPOWER platform is designed to facilitate rapid development of a variety of applications and adopt them to specific users’ needs. The paper introduces the whole platform, its functionality and principal goals along with the architectural background of data management, focusing on the different types of data that the system has to manage and analyze. The last section concludes the work done on the project.

  19. Using Computers Intelligently in Tertiary Education. A Collection of Papers Presented to the Australian Society for Computers in Learning (Sydney, New South Wales, Australia, November 29-December 3, 1987).

    ERIC Educational Resources Information Center

    Barrett, John, Ed.; Hedberg, John, Ed.

    The 63 papers in this collection include two keynote addresses: "Patient Simulation Using Interactive Video: An Application" (Joseph V. Henderson), and "Intelligent Tutoring Systems: Practice Opportunities and Explanatory Models" (Alan Lesgold). The remaining papers are grouped under five topics: (1) Artificial Intelligence,…

  20. The negative impact of living environment on intelligence quotient of primary school children in Baghdad City, Iraq: a cross-sectional study

    PubMed Central

    2012-01-01

    Background Environmental factors play a very important role in the child development process, especially in a situation like that of Iraq. Thirteen years of economic sanctions followed by the 2003 war and 8 years of unstable security have affected the daily life of Iraqi families and children. The objective of this study was to assess the associations between living environment domains and child intelligence quotient (IQ) score. Methods A cross-sectional survey was conducted among 529 children aged 7–8 years from five primary schools in Baghdad during September–October, 2011. The five schools represent people living a range of conditions, and include of both high and low socio-economic groups. Living environment was assessed by 13 questionnaire items, consists of three domains: physical safety , mental stress and public services. While IQ was assessed by Raven Colored progressive matrices. Results Among the participants, 22% were of low intelligence versus 77% of high intelligence and 19% lived in a poor environment. There were significant associations between the mental stress and service living environment domains and child IQ (p = 0.009 and p = 0.001, respectively). Conclusion In Iraq, child IQ was found to be associated with the mental stress and service domains of the living environment. This study findings will help authorities in their efforts to improve living environment. PMID:22839101

  1. Fungal intelligence; Or on the behaviour of microorganisms in confined micro-environments

    NASA Astrophysics Data System (ADS)

    Held, M.; Edwards, C.; Nicolau, D. V.

    2009-07-01

    Filamentous fungi are very successful in colonising various microconfined environments, but their behaviour is usually tested on flat surfaces. This contribution presents the design, the fabrication and the use of microstructures, made of a biocompatible polymer (poly(dimethylsiloxane), PDMS) for studying the dynamic micro-scale behaviour of the filamentous fungus Neurospora crassa. The proposed methodology is simple to implement and uses low cost fabrication methods. The observations of the fungus growing through a variety of fabricated micro-environments revealed distinct structure-dependent and structure-induced responses. Generalising the proposed methodology we propose a tool for high-throughput studies of numerous fungal species.

  2. A BDI Approach to Infer Student's Emotions in an Intelligent Learning Environment

    ERIC Educational Resources Information Center

    Jaques, Patricia Augustin; Vicari, Rosa Maria

    2007-01-01

    In this article we describe the use of mental states approach, more specifically the belief-desire-intention (BDI) model, to implement the process of affective diagnosis in an educational environment. We use the psychological OCC model, which is based on the cognitive theory of emotions and is possible to be implemented computationally, in order…

  3. Social Web Content Enhancement in a Distance Learning Environment: Intelligent Metadata Generation for Resources

    ERIC Educational Resources Information Center

    García-Floriano, Andrés; Ferreira-Santiago, Angel; Yáñez-Márquez, Cornelio; Camacho-Nieto, Oscar; Aldape-Pérez, Mario; Villuendas-Rey, Yenny

    2017-01-01

    Social networking potentially offers improved distance learning environments by enabling the exchange of resources between learners. The existence of properly classified content results in an enhanced distance learning experience in which appropriate materials can be retrieved efficiently; however, for this to happen, metadata needs to be present.…

  4. Intelligence: Real or artificial?

    PubMed Central

    Schlinger, Henry D.

    1992-01-01

    Throughout the history of the artificial intelligence movement, researchers have strived to create computers that could simulate general human intelligence. This paper argues that workers in artificial intelligence have failed to achieve this goal because they adopted the wrong model of human behavior and intelligence, namely a cognitive essentialist model with origins in the traditional philosophies of natural intelligence. An analysis of the word “intelligence” suggests that it originally referred to behavior-environment relations and not to inferred internal structures and processes. It is concluded that if workers in artificial intelligence are to succeed in their general goal, then they must design machines that are adaptive, that is, that can learn. Thus, artificial intelligence researchers must discard their essentialist model of natural intelligence and adopt a selectionist model instead. Such a strategic change should lead them to the science of behavior analysis. PMID:22477051

  5. Voice Recognition and Artificial Intelligence in an Air Traffic Control Environment

    DTIC Science & Technology

    1988-05-01

    TABLE 1. Arpabet computer phonetic alphabet 19 2. First three formant frequencies for selected vowels 26 3. Results from controlled environment test...capable of sealing off the nasal cavity and the tongue is capable of obstructing airflow over a wide range of the oral cavity (see figure four). The...when released results in a short noise burst. * vibration: air is forced through a closure other then the vocal cords such as the tongue or lips

  6. Intelligent Instruction by Computer: Theory and Practice.

    ERIC Educational Resources Information Center

    Farr, Marshall J., Ed.; Psotka, Joseph, Ed.

    The essays collected in this volume are concerned with the field of computer-based intelligent instruction. The papers are organized into four groups that address the following topics: particular theoretical approaches (3 titles); the development and improvement of tools and environments (3 titles); the power of well-engineered implementations and…

  7. Intelligent Instruction by Computer: Theory and Practice.

    ERIC Educational Resources Information Center

    Farr, Marshall J., Ed.; Psotka, Joseph, Ed.

    The essays collected in this volume are concerned with the field of computer-based intelligent instruction. The papers are organized into four groups that address the following topics: particular theoretical approaches (3 titles); the development and improvement of tools and environments (3 titles); the power of well-engineered implementations and…

  8. Towards Intelligent Environments: An Augmented Reality–Brain–Machine Interface Operated with a See-Through Head-Mount Display

    PubMed Central

    Takano, Kouji; Hata, Naoki; Kansaku, Kenji

    2011-01-01

    The brain–machine interface (BMI) or brain–computer interface is a new interface technology that uses neurophysiological signals from the brain to control external machines or computers. This technology is expected to support daily activities, especially for persons with disabilities. To expand the range of activities enabled by this type of interface, here, we added augmented reality (AR) to a P300-based BMI. In this new system, we used a see-through head-mount display (HMD) to create control panels with flicker visual stimuli to support the user in areas close to controllable devices. When the attached camera detects an AR marker, the position and orientation of the marker are calculated, and the control panel for the pre-assigned appliance is created by the AR system and superimposed on the HMD. The participants were required to control system-compatible devices, and they successfully operated them without significant training. Online performance with the HMD was not different from that using an LCD monitor. Posterior and lateral (right or left) channel selections contributed to operation of the AR–BMI with both the HMD and LCD monitor. Our results indicate that AR–BMI systems operated with a see-through HMD may be useful in building advanced intelligent environments. PMID:21541307

  9. Learning with Professionals. Selected Works from the Joint Military Intelligence College

    DTIC Science & Technology

    2005-07-01

    information on law enforcement applications of intelligence may wish to read Marilyn Peterson, Applications in Criminal Analysis (Westport, Connecticut...strategy in this way: In today’s information age environment, control of information and infor- mation technology is vital. As the nation daily becomes...four agencies, other members of the Intelligence Community use and produce intelligence by integrating all available and relevant collected information

  10. Should Cops Be Spies? Evaluating the Collection and Sharing of National Security Intelligence by State, Local and Tribal Law Enforcement

    DTIC Science & Technology

    2013-03-01

    be reduced to “a stochastic exercise in which the probability of some event can be determined with a degree of certainty” (Wirtz, 2003, p. 105......terrorism has blinded our intelligence community. The Atlantic, Retrieved from http://www.theatlantic.com/international/archive/2012/11/ myopia -how-counter

  11. Intelligent Agent Architectures: Reactive Planning Testbed

    NASA Technical Reports Server (NTRS)

    Rosenschein, Stanley J.; Kahn, Philip

    1993-01-01

    An Integrated Agent Architecture (IAA) is a framework or paradigm for constructing intelligent agents. Intelligent agents are collections of sensors, computers, and effectors that interact with their environments in real time in goal-directed ways. Because of the complexity involved in designing intelligent agents, it has been found useful to approach the construction of agents with some organizing principle, theory, or paradigm that gives shape to the agent's components and structures their relationships. Given the wide variety of approaches being taken in the field, the question naturally arises: Is there a way to compare and evaluate these approaches? The purpose of the present work is to develop common benchmark tasks and evaluation metrics to which intelligent agents, including complex robotic agents, constructed using various architectural approaches can be subjected.

  12. Lévy-like behaviour in deterministic models of intelligent agents exploring heterogeneous environments

    NASA Astrophysics Data System (ADS)

    Boyer, D.; Miramontes, O.; Larralde, H.

    2009-10-01

    Many studies on animal and human movement patterns report the existence of scaling laws and power-law distributions. Whereas a number of random walk models have been proposed to explain observations, in many situations individuals actually rely on mental maps to explore strongly heterogeneous environments. In this work, we study a model of a deterministic walker, visiting sites randomly distributed on the plane and with varying weight or attractiveness. At each step, the walker minimizes a function that depends on the distance to the next unvisited target (cost) and on the weight of that target (gain). If the target weight distribution is a power law, p(k) ~ k-β, in some range of the exponent β, the foraging medium induces movements that are similar to Lévy flights and are characterized by non-trivial exponents. We explore variations of the choice rule in order to test the robustness of the model and argue that the addition of noise has a limited impact on the dynamics in strongly disordered media.

  13. Ambient Intelligence in Multimeda and Virtual Reality Environments for the rehabilitation

    NASA Astrophysics Data System (ADS)

    Benko, Attila; Cecilia, Sik Lanyi

    This chapter presents a general overview about the use of multimedia and virtual reality in rehabilitation and assistive and preventive healthcare. This chapter deals with multimedia, virtual reality applications based AI intended for use by medical doctors, nurses, special teachers and further interested persons. It describes methods how multimedia and virtual reality is able to assist their work. These include the areas how multimedia and virtual reality can help the patients everyday life and their rehabilitation. In the second part of the chapter we present the Virtual Therapy Room (VTR) a realized application for aphasic patients that was created for practicing communication and expressing emotions in a group therapy setting. The VTR shows a room that contains a virtual therapist and four virtual patients (avatars). The avatars are utilizing their knowledge base in order to answer the questions of the user providing an AI environment for the rehabilitation. The user of the VTR is the aphasic patient who has to solve the exercises. The picture that is relevant for the actual task appears on the virtual blackboard. Patient answers questions of the virtual therapist. Questions are about pictures describing an activity or an object in different levels. Patient can ask an avatar for answer. If the avatar knows the answer the avatars emotion changes to happy instead of sad. The avatar expresses its emotions in different dimensions. Its behavior, face-mimic, voice-tone and response also changes. The emotion system can be described as a deterministic finite automaton where places are emotion-states and the transition function of the automaton is derived from the input-response reaction of an avatar. Natural language processing techniques were also implemented in order to establish highquality human-computer interface windows for each of the avatars. Aphasic patients are able to interact with avatars via these interfaces. At the end of the chapter we visualize the

  14. Dynamics of a Chlorophyll Dimer in Collective and Local Thermal Environments

    DOE PAGES

    Merkli, M.; Berman, Gennady Petrovich; Sayre, Richard Thomas; ...

    2016-01-30

    Here we present a theoretical analysis of exciton transfer and decoherence effects in a photosynthetic dimer interacting with collective (correlated) and local (uncorrelated) protein-solvent environments. Our approach is based on the framework of the spin-boson model. We derive explicitly the thermal relaxation and decoherence rates of the exciton transfer process, valid for arbitrary temperatures and for arbitrary (in particular, large) interaction constants between the dimer and the environments. We establish a generalization of the Marcus formula, giving reaction rates for dimer levels possibly individually and asymmetrically coupled to environments. We identify rigorously parameter regimes for the validity of the generalizedmore » Marcus formula. The existence of long living quantum coherences at ambient temperatures emerges naturally from our approach.« less

  15. RECIPROCAL RELATION BETWEEN POPULATION AND ENVIRONMENT: INNOVATIONS ON FLORA DATA COLLECTION.

    PubMed

    Dangol, D R

    2009-01-01

    In recent years, social and natural scientists have gained interest in understanding reciprocal relations between human populations and the environment. Research methods have been developed for investigating the secrets of interations of human and environment. This paper describes the flora data collection methods used in a longitudinal research project "Reciprocal Relation Between Population and the Environment" and highlights how the research sites were selected, how the research plots were designed in each site and how the qualitative and quantitative data of flora found in each research plot were recorded. This paper also discusses how the flora data can be linked with sociodemographic data and how the data can be used to unfold the effect of human activities on flora diversity and/or the effect of flora on the life of the human population in the study area.

  16. Dynamics of a Chlorophyll Dimer in Collective and Local Thermal Environments

    SciTech Connect

    Merkli, M.; Berman, Gennady Petrovich; Sayre, Richard Thomas; Gnanakaran, Sandrasegaram; Konenberg, M.; Nesterov, A.I.; Song, H.

    2016-01-30

    Here we present a theoretical analysis of exciton transfer and decoherence effects in a photosynthetic dimer interacting with collective (correlated) and local (uncorrelated) protein-solvent environments. Our approach is based on the framework of the spin-boson model. We derive explicitly the thermal relaxation and decoherence rates of the exciton transfer process, valid for arbitrary temperatures and for arbitrary (in particular, large) interaction constants between the dimer and the environments. We establish a generalization of the Marcus formula, giving reaction rates for dimer levels possibly individually and asymmetrically coupled to environments. We identify rigorously parameter regimes for the validity of the generalized Marcus formula. The existence of long living quantum coherences at ambient temperatures emerges naturally from our approach.

  17. Programmatic access to logical models in the Cell Collective modeling environment via a REST API.

    PubMed

    Kowal, Bryan M; Schreier, Travis R; Dauer, Joseph T; Helikar, Tomáš

    2016-01-01

    Cell Collective (www.cellcollective.org) is a web-based interactive environment for constructing, simulating and analyzing logical models of biological systems. Herein, we present a Web service to access models, annotations, and simulation data in the Cell Collective platform through the Representational State Transfer (REST) Application Programming Interface (API). The REST API provides a convenient method for obtaining Cell Collective data through almost any programming language. To ensure easy processing of the retrieved data, the request output from the API is available in a standard JSON format. The Cell Collective REST API is freely available at http://thecellcollective.org/tccapi. All public models in Cell Collective are available through the REST API. For users interested in creating and accessing their own models through the REST API first need to create an account in Cell Collective (http://thecellcollective.org). thelikar2@unl.edu. Technical user documentation: https://goo.gl/U52GWo. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  18. How much benefit does Intelligent Speed Adaptation deliver: an analysis of its potential contribution to safety and environment.

    PubMed

    Lai, Frank; Carsten, Oliver; Tate, Fergus

    2012-09-01

    The UK Intelligent Speed Adaptation (ISA) project produced a rich database with high-resolution data on driver behaviour covering a comprehensive range of road environment. The field trials provided vital information on driver behaviour in the presence of ISA. The purpose of this paper is to exploit the information gathered in the field trials to predict the impacts of various forms of ISA and to assess whether ISA is viable in terms of benefit-to-cost ratio. ISA is predicted to save up to 33% of accidents on urban roads, and to reduce CO(2) emissions by up to 5.8% on 70 mph roads. In order to investigate the long-term impacts of ISA, two hypothetical deployment scenarios were envisaged covering a 60-year appraisal period. The results indicate that ISA could deliver a very healthy benefit-to-cost ratio, ranging from 3.4 to 7.4, depending on the deployment scenarios. Under both deployment scenarios, ISA has recovered its implementation costs in less than 15 years. It can be concluded that implementation of ISA is clearly justified from a social cost and benefit perspective. Of the two deployment scenarios, the Market Driven one is substantially outperformed by the Authority Driven one. The benefits of ISA on fuel saving and emission reduction are real but not substantial, in comparison with the benefits on accident reduction; up to 98% of benefits are attributable to accident savings. Indeed, ISA is predicted to lead to a savings of 30% in fatal crashes and 25% in serious crashes over the 60-year period modelled.

  19. Designing EvoRoom: An Immersive Simulation Environment for Collective Inquiry in Secondary Science

    NASA Astrophysics Data System (ADS)

    Lui, Michelle Mei Yee

    This dissertation investigates the design of complex inquiry for co-located students to work as a knowledge community within a mixed-reality learning environment. It presents the design of an immersive simulation called EvoRoom and corresponding collective inquiry activities that allow students to explore concepts around topics of evolution and biodiversity in a Grade 11 Biology course. EvoRoom is a room-sized simulation of a rainforest, modeled after Borneo in Southeast Asia, where several projected displays are stitched together to form a large, animated simulation on each opposing wall of the room. This serves to create an immersive environment in which students work collaboratively as individuals, in small groups and a collective community to investigate science topics using the simulations as an evidentiary base. Researchers and a secondary science teacher co-designed a multi-week curriculum that prepared students with preliminary ideas and expertise, then provided them with guided activities within EvoRoom, supported by tablet-based software as well as larger visualizations of their collective progress. Designs encompassed the broader curriculum, as well as all EvoRoom materials (e.g., projected displays, student tablet interfaces, collective visualizations) and activity sequences. This thesis describes a series of three designs that were developed and enacted iteratively over two and a half years, presenting key features that enhanced students' experiences within the immersive environment, their interactions with peers, and their inquiry outcomes. Primary research questions are concerned with the nature of effective design for such activities and environments, and the kinds of interactions that are seen at the individual, collaborative and whole-class levels. The findings fall under one of three themes: 1) the physicality of the room, 2) the pedagogical script for student observation and reflection and collaboration, and 3) ways of including collective

  20. Plant intelligence

    PubMed Central

    Lipavská, Helena; Žárský, Viktor

    2009-01-01

    The concept of plant intelligence, as proposed by Anthony Trewavas, has raised considerable discussion. However, plant intelligence remains loosely defined; often it is either perceived as practically synonymous to Darwinian fitness, or reduced to a mere decorative metaphor. A more strict view can be taken, emphasizing necessary prerequisites such as memory and learning, which requires clarifying the definition of memory itself. To qualify as memories, traces of past events have to be not only stored, but also actively accessed. We propose a criterion for eliminating false candidates of possible plant intelligence phenomena in this stricter sense: an “intelligent” behavior must involve a component that can be approximated by a plausible algorithmic model involving recourse to stored information about past states of the individual or its environment. Re-evaluation of previously presented examples of plant intelligence shows that only some of them pass our test. “You were hurt?” Kumiko said, looking at the scar. Sally looked down. “Yeah.” “Why didn't you have it removed?” “Sometimes it's good to remember.” “Being hurt?” “Being stupid.”—(W. Gibson: Mona Lisa Overdrive) PMID:19816094

  1. The Complex Interaction between Home Environment, Socioeconomic Status, Maternal IQ and Early Child Neurocognitive Development: A Multivariate Analysis of Data Collected in a Newborn Cohort Study.

    PubMed

    Ronfani, Luca; Vecchi Brumatti, Liza; Mariuz, Marika; Tognin, Veronica; Bin, Maura; Ferluga, Valentina; Knowles, Alessandra; Montico, Marcella; Barbone, Fabio

    2015-01-01

    The relative role of socioeconomic status (SES), home environment and maternal intelligence, as factors affecting child cognitive development in early childhood is still unclear. The aim of this study is to analyze the association of SES, home environment and maternal IQ with child neurodevelopment at 18 months. The data were collected prospectively in the PHIME study, a newborn cohort study carried out in Italy between 2007 and 2010. Maternal nonverbal abilities (IQ) were evaluated using the Standard Progressive Matrices, a version of the Raven's Progressive Matrices; a direct evaluation of the home environment was carried out with the AIRE instrument, designed using the HOME (Home Observation for Measurement of the Environment) model; the socioeconomic characteristics were evaluated using the SES index which takes into account parents occupation, type of employment, educational level, homeownership. The study outcome was child neurodevelopment evaluated at 18 months, with the Bayley Scales of Infant and Toddler Development Third Edition (BSID III). Linear regression analyses and mediation analyses were carried out to evaluate the association between the three exposures, and the scaled scores of the three main scales of BSID III (cognitive, language and motor scale), with adjustment for a wide range of potential explanatory variables. Data from 502 mother-child pairs were analyzed. Mediation analysis showed a relationship between SES and maternal IQ, with a complete mediation effect of home environment in affecting cognitive and language domains. A direct significant effect of maternal IQ on the BSID III motor development scale and the mediation effect of home environment were found. Our results show that home environment was the variable with greater influence on neurodevelopment at 18 months. The observation of how parents and children interact in the home context is crucial to adequately evaluate early child development.

  2. The Complex Interaction between Home Environment, Socioeconomic Status, Maternal IQ and Early Child Neurocognitive Development: A Multivariate Analysis of Data Collected in a Newborn Cohort Study

    PubMed Central

    Ronfani, Luca; Vecchi Brumatti, Liza; Mariuz, Marika; Tognin, Veronica; Bin, Maura; Ferluga, Valentina; Knowles, Alessandra; Montico, Marcella; Barbone, Fabio

    2015-01-01

    Background The relative role of socioeconomic status (SES), home environment and maternal intelligence, as factors affecting child cognitive development in early childhood is still unclear. The aim of this study is to analyze the association of SES, home environment and maternal IQ with child neurodevelopment at 18 months. Methods The data were collected prospectively in the PHIME study, a newborn cohort study carried out in Italy between 2007 and 2010. Maternal nonverbal abilities (IQ) were evaluated using the Standard Progressive Matrices, a version of the Raven’s Progressive Matrices; a direct evaluation of the home environment was carried out with the AIRE instrument, designed using the HOME (Home Observation for Measurement of the Environment) model; the socioeconomic characteristics were evaluated using the SES index which takes into account parents occupation, type of employment, educational level, homeownership. The study outcome was child neurodevelopment evaluated at 18 months, with the Bayley Scales of Infant and Toddler Development Third Edition (BSID III). Linear regression analyses and mediation analyses were carried out to evaluate the association between the three exposures, and the scaled scores of the three main scales of BSID III (cognitive, language and motor scale), with adjustment for a wide range of potential explanatory variables. Results Data from 502 mother-child pairs were analyzed. Mediation analysis showed a relationship between SES and maternal IQ, with a complete mediation effect of home environment in affecting cognitive and language domains. A direct significant effect of maternal IQ on the BSID III motor development scale and the mediation effect of home environment were found. Conclusions Our results show that home environment was the variable with greater influence on neurodevelopment at 18 months. The observation of how parents and children interact in the home context is crucial to adequately evaluate early child development

  3. Trends in the salience of data collected in a multi user virtual environment: An exploratory study

    NASA Astrophysics Data System (ADS)

    Tutwiler, M. Shane

    In this study, by exploring patterns in the degree of physical salience of the data the students collected, I investigated the relationship between the level of students' tendency to frame explanations in terms of complex patterns and evidence of how they attend to and select data in support of their developing understandings of causal relationships. I accomplished this by analyzing longitudinal data collected as part of a larger study of 143 7th grade students (clustered within 36 teams, 5 teachers, and 2 schools in the same Northeastern school district) as they navigated and collected data in an ecosystems-based multi-user virtual environment curriculum known as the EcoMUVE Pond module (Metcalf, Kamarainen, Tutwiler, Grotzer, Dede, 2011) . Using individual growth modeling (Singer & Willett, 2003) I found no direct link between student pre-intervention tendency to offer explanations containing complex causal components and patterns of physical salience-driven data collection (average physical salience level, number of low physical salience data points collected, and proportion of low physical salience data points collected), though prior science content knowledge did affect the initial status and rate of change of outcomes in the average physical salience level and proportion of low physical salience data collected over time. The findings of this study suggest two issues for consideration about the use of MUVEs to study student data collection behaviors in complex spaces. Firstly, the structure of the curriculum in which the MUVE is embedded might have a direct effect on what types of data students choose to collect. This undercuts our ability to make inferences about student-driven decisions to collect specific types of data, and suggests that a more open-ended curricular model might be better suited to this type of inquiry. Secondly, differences between teachers' choices in how to facilitate the units likely contribute to the variance in student data collection

  4. Association mapping of height and maturity across five environments using the sorghum mini core collection.

    PubMed

    Upadhyaya, Hari D; Wang, Yi-Hong; Sharma, Shivali; Singh, Sube

    2012-06-01

    Sorghum is a potential energy crop thanks to its high biomass productivity and low input. Biomass yield in sorghum is defined by height and maturity. To develop molecular breeding tools for genetic improvement of these two traits, we have identified simple sequence repeat markers linked to height and maturity using a pool-based association mapping technique. The sorghum mini core collection was evaluated across five environments for height and maturity. Seven tall and seven short accessions were selected based on their height in all environments. Likewise, six early- and 10 late-maturing accessions were selected mostly based on their maturity in two post-rainy seasons. Two additional height pools were constructed based on phenotypes in one environment. The three pairs of pools were screened with 703 SSR markers and 39 polymorphic markers were confirmed by individual genotyping. Association mapping of the 39 markers with 242 accessions from the mini core collection identified five markers associated with maturity or height. All were clustered on chromosomes 6, 9, and 10 with previously mapped height and maturity markers or QTLs. One marker associated with both height and maturity was 84 kb from recently cloned Ma1. These markers will lay a foundation for identifying additional height and maturity genes in sorghum.

  5. An investigation of artificial-intelligence methods for use in programming environments: The inclusion of an expert programmer in the SLAW

    SciTech Connect

    Doran, M.V.

    1989-01-01

    The Structured Language Algorithm Writer (SLAW) has been developed at Tulane University for use on IBM-PC's over the past several years. The environment, currently in its third generation, allows for the creation and editing of a structure chart with automatic translation of the algorithm into Pascal, FORTRAN and BASIC code. The scope of this research has centered around the artificial intelligence methods and techniques necessary to include an expert tutor into the SLAW environment. The main aid provided by this expert tutor is assisting the user in the creation of valid algorithms and acquiring certain algorithm design concepts. The main tasks which were necessary to accomplish these goals have been the ability of the tutor to understand the goal of the algorithms and also the proper creation and use of a knowledge base of algorithms. The overall focus of the environment, which differs from other programming environments, is that it centers upon the design phase, rather than programming coding and syntax. By focusing on design it leads to developing problem solving skills rather than programming skills, which are the underlying basis of computer science and all sciences. Thus the objective of the research has been to investigate the marriage of software engineering and artificial intelligence into a useful teaching tool focusing on design rather than coding skills.

  6. Common Criteria Related Security Design Patterns—Validation on the Intelligent Sensor Example Designed for Mine Environment

    PubMed Central

    Bialas, Andrzej

    2010-01-01

    The paper discusses the security issues of intelligent sensors that are able to measure and process data and communicate with other information technology (IT) devices or systems. Such sensors are often used in high risk applications. To improve their robustness, the sensor systems should be developed in a restricted way to provide them with assurance. One of assurance creation methodologies is Common Criteria (ISO/IEC 15408), used for IT products and systems. The contribution of the paper is a Common Criteria compliant and pattern-based method for the intelligent sensors security development. The paper concisely presents this method and its evaluation for the sensor detecting methane in a mine, focusing on the security problem of the intelligent sensor definition and solution. The aim of the validation is to evaluate and improve the introduced method. PMID:22399888

  7. Common Criteria related security design patterns--validation on the intelligent sensor example designed for mine environment.

    PubMed

    Bialas, Andrzej

    2010-01-01

    The paper discusses the security issues of intelligent sensors that are able to measure and process data and communicate with other information technology (IT) devices or systems. Such sensors are often used in high risk applications. To improve their robustness, the sensor systems should be developed in a restricted way to provide them with assurance. One of assurance creation methodologies is Common Criteria (ISO/IEC 15408), used for IT products and systems. The contribution of the paper is a Common Criteria compliant and pattern-based method for the intelligent sensors security development. The paper concisely presents this method and its evaluation for the sensor detecting methane in a mine, focusing on the security problem of the intelligent sensor definition and solution. The aim of the validation is to evaluate and improve the introduced method.

  8. Modeling and analysis of collective cell migration in an in vivo three-dimensional environment.

    PubMed

    Cai, Danfeng; Dai, Wei; Prasad, Mohit; Luo, Junjie; Gov, Nir S; Montell, Denise J

    2016-04-12

    A long-standing question in collective cell migration has been what might be the relative advantage of forming a cluster over migrating individually. Does an increase in the size of a collectively migrating group of cells enable them to sample the chemical gradient over a greater distance because the difference between front and rear of a cluster would be greater than for single cells? We combined theoretical modeling with experiments to study collective migration of the border cells in-between nurse cells in the Drosophila egg chamber. We discovered that cluster size is positively correlated with migration speed, up to a particular point above which speed plummets. This may be due to the effect of viscous drag from surrounding nurse cells together with confinement of all of the cells within a stiff extracellular matrix. The model predicts no relationship between cluster size and velocity for cells moving on a flat surface, in contrast to movement within a 3D environment. Our analyses also suggest that the overall chemoattractant profile in the egg chamber is likely to be exponential, with the highest concentration in the oocyte. These findings provide insights into collective chemotaxis by combining theoretical modeling with experimentation.

  9. Modeling and analysis of collective cell migration in an in vivo three-dimensional environment

    PubMed Central

    Dai, Wei; Prasad, Mohit; Luo, Junjie; Gov, Nir S.; Montell, Denise J.

    2016-01-01

    A long-standing question in collective cell migration has been what might be the relative advantage of forming a cluster over migrating individually. Does an increase in the size of a collectively migrating group of cells enable them to sample the chemical gradient over a greater distance because the difference between front and rear of a cluster would be greater than for single cells? We combined theoretical modeling with experiments to study collective migration of the border cells in-between nurse cells in the Drosophila egg chamber. We discovered that cluster size is positively correlated with migration speed, up to a particular point above which speed plummets. This may be due to the effect of viscous drag from surrounding nurse cells together with confinement of all of the cells within a stiff extracellular matrix. The model predicts no relationship between cluster size and velocity for cells moving on a flat surface, in contrast to movement within a 3D environment. Our analyses also suggest that the overall chemoattractant profile in the egg chamber is likely to be exponential, with the highest concentration in the oocyte. These findings provide insights into collective chemotaxis by combining theoretical modeling with experimentation. PMID:27035964

  10. Competitive Intelligence and Social Advantage.

    ERIC Educational Resources Information Center

    Davenport, Elisabeth; Cronin, Blaise

    1994-01-01

    Presents an overview of issues concerning civilian competitive intelligence (CI). Topics discussed include competitive advantage in academic and research environments; public domain information and libraries; covert and overt competitive intelligence; data diversity; use of the Internet; cooperative intelligence; and implications for library and…

  11. The Spacecraft Materials Selector: An Artificial Intelligence System for Preliminary Design Trade Studies, Materials Assessments, and Estimates of Environments Present

    NASA Technical Reports Server (NTRS)

    Pippin, H. G.; Woll, S. L. B.

    2000-01-01

    Institutions need ways to retain valuable information even as experienced individuals leave an organization. Modern electronic systems have enough capacity to retain large quantities of information that can mitigate the loss of experience. Performance information for long-term space applications is relatively scarce and specific information (typically held by a few individuals within a single project) is often rather narrowly distributed. Spacecraft operate under severe conditions and the consequences of hardware and/or system failures, in terms of cost, loss of information, and time required to replace the loss, are extreme. These risk factors place a premium on appropriate choice of materials and components for space applications. An expert system is a very cost-effective method for sharing valuable and scarce information about spacecraft performance. Boeing has an artificial intelligence software package, called the Boeing Expert System Tool (BEST), to construct and operate knowledge bases to selectively recall and distribute information about specific subjects. A specific knowledge base to evaluate the on-orbit performance of selected materials on spacecraft has been developed under contract to the NASA SEE program. The performance capabilities of the Spacecraft Materials Selector (SMS) knowledge base are described. The knowledge base is a backward-chaining, rule-based system. The user answers a sequence of questions, and the expert system provides estimates of optical and mechanical performance of selected materials under specific environmental conditions. The initial operating capability of the system will include data for Kapton, silverized Teflon, selected paints, silicone-based materials, and certain metals. For situations where a mission profile (launch date, orbital parameters, mission duration, spacecraft orientation) is not precisely defined, the knowledge base still attempts to provide qualitative observations about materials performance and likely

  12. The Spacecraft Materials Selector: An Artificial Intelligence System for Preliminary Design Trade Studies, Materials Assessments, and Estimates of Environments Present

    NASA Technical Reports Server (NTRS)

    Pippin, H. G.; Woll, S. L. B.

    2000-01-01

    Institutions need ways to retain valuable information even as experienced individuals leave an organization. Modern electronic systems have enough capacity to retain large quantities of information that can mitigate the loss of experience. Performance information for long-term space applications is relatively scarce and specific information (typically held by a few individuals within a single project) is often rather narrowly distributed. Spacecraft operate under severe conditions and the consequences of hardware and/or system failures, in terms of cost, loss of information, and time required to replace the loss, are extreme. These risk factors place a premium on appropriate choice of materials and components for space applications. An expert system is a very cost-effective method for sharing valuable and scarce information about spacecraft performance. Boeing has an artificial intelligence software package, called the Boeing Expert System Tool (BEST), to construct and operate knowledge bases to selectively recall and distribute information about specific subjects. A specific knowledge base to evaluate the on-orbit performance of selected materials on spacecraft has been developed under contract to the NASA SEE program. The performance capabilities of the Spacecraft Materials Selector (SMS) knowledge base are described. The knowledge base is a backward-chaining, rule-based system. The user answers a sequence of questions, and the expert system provides estimates of optical and mechanical performance of selected materials under specific environmental conditions. The initial operating capability of the system will include data for Kapton, silverized Teflon, selected paints, silicone-based materials, and certain metals. For situations where a mission profile (launch date, orbital parameters, mission duration, spacecraft orientation) is not precisely defined, the knowledge base still attempts to provide qualitative observations about materials performance and likely

  13. Intelligence Issues for Congress

    DTIC Science & Technology

    2006-01-11

    a collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE 11 JAN 2006 2. REPORT TYPE 3. DATES COVERED...RS22011, Intelligence Reform and Terrorism Prevention Act of 2004: “Lone Wolf” Amendment to the Foreign Intelligence Surveillance Act, by E. Bazan

  14. A stochastic vision-based model inspired by zebrafish collective behaviour in heterogeneous environments

    PubMed Central

    Collignon, Bertrand; Séguret, Axel; Halloy, José

    2016-01-01

    Collective motion is one of the most ubiquitous behaviours displayed by social organisms and has led to the development of numerous models. Recent advances in the understanding of sensory system and information processing by animals impels one to revise classical assumptions made in decisional algorithms. In this context, we present a model describing the three-dimensional visual sensory system of fish that adjust their trajectory according to their perception field. Furthermore, we introduce a stochastic process based on a probability distribution function to move in targeted directions rather than on a summation of influential vectors as is classically assumed by most models. In parallel, we present experimental results of zebrafish (alone or in group of 10) swimming in both homogeneous and heterogeneous environments. We use these experimental data to set the parameter values of our model and show that this perception-based approach can simulate the collective motion of species showing cohesive behaviour in heterogeneous environments. Finally, we discuss the advances of this multilayer model and its possible outcomes in biological, physical and robotic sciences. PMID:26909173

  15. Cognitive Task Analysis and Intelligent Computer-Based Training Systems: Lessons Learned from Coached Practice Environments in Air Force Avionics.

    ERIC Educational Resources Information Center

    Katz, Sandra N.; Hall, Ellen; Lesgold, Alan

    This paper describes some results of a collaborative effort between the University of Pittsburgh and the Air Force to develop advanced troubleshooting training for F-15 maintenance technicians. The focus is on the cognitive task methodology used in the development of three intelligent tutoring systems to inform their instructional content and…

  16. An Intelligent Tutoring System on the WWW Supporting Interactive Simulation Environment with a Multimedia Viewer Control Mechanism.

    ERIC Educational Resources Information Center

    Nakabayashi, Kiyoshi; Maruyama, Mina; Koike, Yoshimasa; Fukuhara, Yoshimi; Nakamura, Yukihiro

    This paper describes the features of the 1996 version of an intelligent tutoring system (ITS) called CALAT. The architecture of CALAT is an extension of conventional World Wide Web systems, consisting of an ITS kernel on the server side and a multimedia viewer on the client side. The viewer control system is designed to achieve both educationally…

  17. Collective Odor Source Estimation and Search in Time-Variant Airflow Environments Using Mobile Robots

    PubMed Central

    Meng, Qing-Hao; Yang, Wei-Xing; Wang, Yang; Zeng, Ming

    2011-01-01

    This paper addresses the collective odor source localization (OSL) problem in a time-varying airflow environment using mobile robots. A novel OSL methodology which combines odor-source probability estimation and multiple robots’ search is proposed. The estimation phase consists of two steps: firstly, the separate probability-distribution map of odor source is estimated via Bayesian rules and fuzzy inference based on a single robot’s detection events; secondly, the separate maps estimated by different robots at different times are fused into a combined map by way of distance based superposition. The multi-robot search behaviors are coordinated via a particle swarm optimization algorithm, where the estimated odor-source probability distribution is used to express the fitness functions. In the process of OSL, the estimation phase provides the prior knowledge for the searching while the searching verifies the estimation results, and both phases are implemented iteratively. The results of simulations for large-scale advection–diffusion plume environments and experiments using real robots in an indoor airflow environment validate the feasibility and robustness of the proposed OSL method. PMID:22346650

  18. Collective odor source estimation and search in time-variant airflow environments using mobile robots.

    PubMed

    Meng, Qing-Hao; Yang, Wei-Xing; Wang, Yang; Zeng, Ming

    2011-01-01

    This paper addresses the collective odor source localization (OSL) problem in a time-varying airflow environment using mobile robots. A novel OSL methodology which combines odor-source probability estimation and multiple robots' search is proposed. The estimation phase consists of two steps: firstly, the separate probability-distribution map of odor source is estimated via Bayesian rules and fuzzy inference based on a single robot's detection events; secondly, the separate maps estimated by different robots at different times are fused into a combined map by way of distance based superposition. The multi-robot search behaviors are coordinated via a particle swarm optimization algorithm, where the estimated odor-source probability distribution is used to express the fitness functions. In the process of OSL, the estimation phase provides the prior knowledge for the searching while the searching verifies the estimation results, and both phases are implemented iteratively. The results of simulations for large-scale advection-diffusion plume environments and experiments using real robots in an indoor airflow environment validate the feasibility and robustness of the proposed OSL method.

  19. Toward Lower Organic Environments in Astromaterial Sample Curation for Diverse Collections

    NASA Technical Reports Server (NTRS)

    Allton, J. H.; Allen, C. C.; Burkett, P. J.; Calaway, M. J.; Oehler, D. Z.

    2012-01-01

    Great interest was taken during the frenzied pace of the Apollo lunar sample return to achieve and monitor organic cleanliness. Yet, the first mission resulted in higher organic contamination to samples than desired. But improvements were accomplished by Apollo 12 [1]. Quarantine complicated the goal of achieving organic cleanliness by requiring negative pressure glovebox containment environments, proximity of animal, plant and microbial organic sources, and use of organic sterilants in protocols. A special low organic laboratory was set up at University of California Berkeley (UCB) to cleanly subdivide a subset of samples [2, 3, 4]. Nevertheless, the basic approach of handling rocks and regolith inside of a positive pressure stainless steel glovebox and restrict-ing the tool and container materials allowed in the gloveboxes was established by the last Apollo sample re-turn. In the last 40 years, the collections have grown to encompass Antarctic meteorites, Cosmic Dust, Genesis solar wind, Stardust comet grains and Hayabusa asteroid grains. Each of these collections have unique curation requirements for organic contamination monitor-ing and control. Here is described some changes allowed by improved technology or driven by changes in environmental regulations and economy, concluding with comments on organic witness wafers. Future sample return missions (OSIRIS-Rex; Mars; comets) will require extremely low levels of organic contamination in spacecraft collection and thus similarly low levels in curation. JSC Curation is undertaking a program to document organic baseline levels in current operations and devise ways to reduce those levels.

  20. Intelligent Tutor

    NASA Technical Reports Server (NTRS)

    1990-01-01

    NASA also seeks to advance American education by employing the technology utilization process to develop a computerized, artificial intelligence-based Intelligent Tutoring System (ITS) to help high school and college physics students. The tutoring system is designed for use with the lecture and laboratory portions of a typical physics instructional program. Its importance lies in its ability to observe continually as a student develops problem solutions and to intervene when appropriate with assistance specifically directed at the student's difficulty and tailored to his skill level and learning style. ITS originated as a project of the Johnson Space Center (JSC). It is being developed by JSC's Software Technology Branch in cooperation with Dr. R. Bowen Loftin at the University of Houston-Downtown. Program is jointly sponsored by NASA and ACOT (Apple Classrooms of Tomorrow). Other organizations providing support include Texas Higher Education Coordinating Board, the National Research Council, Pennzoil Products Company and the George R. Brown Foundation. The Physics I class of Clear Creek High School, League City, Texas are providing the classroom environment for test and evaluation of the system. The ITS is a spinoff product developed earlier to integrate artificial intelligence into training/tutoring systems for NASA astronauts flight controllers and engineers.

  1. From Smart Guesser to Smart Navigator: Changes in Collection Development for Research Libraries in a Network Environment.

    ERIC Educational Resources Information Center

    Zhou, Yuan

    1994-01-01

    Discusses the impact that network technology, electronic publishing, and Internet communication are having on collection development policies in research libraries. Highlights include changes in the research library environment, including financial difficulties; scholarly communication; workstations for material selection; and materials in…

  2. Bio-AIMS Collection of Chemoinformatics Web Tools based on Molecular Graph Information and Artificial Intelligence Models.

    PubMed

    Munteanu, Cristian R; Gonzalez-Diaz, Humberto; Garcia, Rafael; Loza, Mabel; Pazos, Alejandro

    2015-01-01

    The molecular information encoding into molecular descriptors is the first step into in silico Chemoinformatics methods in Drug Design. The Machine Learning methods are a complex solution to find prediction models for specific biological properties of molecules. These models connect the molecular structure information such as atom connectivity (molecular graphs) or physical-chemical properties of an atom/group of atoms to the molecular activity (Quantitative Structure - Activity Relationship, QSAR). Due to the complexity of the proteins, the prediction of their activity is a complicated task and the interpretation of the models is more difficult. The current review presents a series of 11 prediction models for proteins, implemented as free Web tools on an Artificial Intelligence Model Server in Biosciences, Bio-AIMS (http://bio-aims.udc.es/TargetPred.php). Six tools predict protein activity, two models evaluate drug - protein target interactions and the other three calculate protein - protein interactions. The input information is based on the protein 3D structure for nine models, 1D peptide amino acid sequence for three tools and drug SMILES formulas for two servers. The molecular graph descriptor-based Machine Learning models could be useful tools for in silico screening of new peptides/proteins as future drug targets for specific treatments.

  3. Preliminary flight prototype waste collection subsystem. [performance of waste disposal system in weightless environment

    NASA Technical Reports Server (NTRS)

    Swider, J. E., Jr.

    1974-01-01

    The zero gravity test program demonstrated the feasibility and practicability of collecting urine from both male and female crew members in a zero gravity environment in an earthlike manner not requiring any manual handling of urine containers. In addition, the testing demonstrated that a seat which is comfortable in both regimes of operation could be designed for use on the ground and in zero-gravity. Further, the tests showed that the vortex liquid/air separator is an effective liquid/air separation method in zero gravity. Visual observations indicate essentially zero liquid carry over. The system also demonstrated its ability to handle post elimination wipes without difficulty. The designs utilized in the WCS were verified as acceptable for usage in the space shuttle or other space vehicles.

  4. A Mathematical Model of Collective Cell Migration in a Three-Dimensional, Heterogeneous Environment

    PubMed Central

    Stonko, David P.; Manning, Lathiena; Starz-Gaiano, Michelle; Peercy, Bradford E.

    2015-01-01

    Cell migration is essential in animal development, homeostasis, and disease progression, but many questions remain unanswered about how this process is controlled. While many kinds of individual cell movements have been characterized, less effort has been directed towards understanding how clusters of cells migrate collectively through heterogeneous, cellular environments. To explore this, we have focused on the migration of the border cells during Drosophila egg development. In this case, a cluster of different cell types coalesce and traverse as a group between large cells, called nurse cells, in the center of the egg chamber. We have developed a new model for this collective cell migration based on the forces of adhesion, repulsion, migration and stochastic fluctuation to generate the movement of discrete cells. We implement the model using Identical Math Cells, or IMCs. IMCs can each represent one biological cell of the system, or can be aggregated using increased adhesion forces to model the dynamics of larger biological cells. The domain of interest is filled with IMCs, each assigned specific biophysical properties to mimic a diversity of cell types. Using this system, we have successfully simulated the migration of the border cell cluster through an environment filled with larger cells, which represent nurse cells. Interestingly, our simulations suggest that the forces utilized in this model are sufficient to produce behaviors of the cluster that are observed in vivo, such as rotation. Our framework was developed to capture a heterogeneous cell population, and our implementation strategy allows for diverse, but precise, initial position specification over a three- dimensional domain. Therefore, we believe that this model will be useful for not only examining aspects of Drosophila oogenesis, but also for modeling other two or three-dimensional systems that have multiple cell types and where investigating the forces between cells is of interest. PMID:25875645

  5. Algebraic solution of the Lindblad equation for a collection of multilevel systems coupled to independent environments

    NASA Astrophysics Data System (ADS)

    Bolaños, Marduk; Barberis-Blostein, Pablo

    2015-11-01

    We consider the Lindblad equation for a collection of multilevel systems coupled to independent environments. The equation is symmetric under the exchange of the labels associated with each system and thus the open-system dynamics takes place in the permutation-symmetric subspace of the operator space. The dimension of this space grows polynomially with the number of systems. We construct a basis of this space and a set of superoperators whose action on this basis is easily specified. For a given number of levels, M, these superoperators are written in terms of a bosonic realization of the generators of the Lie algebra {sl}({M}2). In some cases, these results enable finding an analytic solution of the master equation using known Lie-algebraic methods. To demonstrate this, we obtain an analytic expression for the state operator of a collection of three-level atoms coupled to independent radiation baths. When analytic solutions are difficult to find, the basis and the superoperators can be used to considerably reduce the computational resources required for simulations.

  6. Risk factors for heat illness among British soldiers in the hot Collective Training Environment

    PubMed Central

    Moore, Alice C; Stacey, M J; Bailey, K G H; Bunn, R J; Woods, D R; Haworth, K J; Brett, S J; Folkes, S E F

    2016-01-01

    Background Heat illness is a preventable disorder in military populations. Measures that protect vulnerable individuals and contribute to effective Immediate Treatment may reduce the impact of heat illness, but depend upon adequate understanding and awareness among Commanders and their troops. Objective To assess risk factors for heat illness in British soldiers deployed to the hot Collective Training Environment (CTE) and to explore awareness of Immediate Treatment responses. Methods An anonymous questionnaire was distributed to British soldiers deployed in the hot CTEs of Kenya and Canada. Responses were analysed to determine the prevalence of individual (Intrinsic) and Command-practice (Extrinsic) risk factors for heat illness and the self-reported awareness of key Immediate Treatment priorities (recognition, first aid and casualty evacuation). Results The prevalence of Intrinsic risk factors was relatively low in comparison with Extrinsic risk factors. The majority of respondents were aware of key Immediate Treatment responses. The most frequently reported factors in each domain were increased risk by body composition scoring, inadequate time for heat acclimatisation and insufficient briefing about casualty evacuation. Conclusions Novel data on the distribution and scale of risk factors for heat illness are presented. A collective approach to risk reduction by the accumulation of ‘marginal gains’ is proposed for the UK military. This should focus on limiting Intrinsic risk factors before deployment, reducing Extrinsic factors during training and promoting timely Immediate Treatment responses within the hot CTE. PMID:26036822

  7. Collective goals and shared tasks: interdependence structure and perceptions of individual sport team environments.

    PubMed

    Evans, M B; Eys, M A

    2015-02-01

    Across two studies, we tested the proposition that interdependence structures (i.e., task interaction among teammates during competition, competition against teammates, presence of a collective outcome) influence interdependence perceptions among teammates as well as perceptions of group cohesion, competitiveness, and satisfaction. Study 1 was a paper-and-pencil survey completed by 210 individual sport athletes from 12 university- and college-level teams. Multiple mediation analyses demonstrated that participants who had to work alongside teammates during competition reported increased interdependence perceptions that were, in turn, associated with increased cohesion and satisfaction as well as decreased competitiveness. There were no differences according to whether participants competed in the same event as all of their teammates or not. Study 2 involved a weekly e-mail survey with 17 university-level individual sport athletes who reported interdependence perceptions on a continual basis over the course of their competitive season. Interdependence perceptions were higher during weeks that were close in time to competitions with a collective group outcome. These studies reveal how interdependence structures shape the group environment and support applied efforts that consider ways to structure teammate interdependencies in ways to optimize group functioning and promote member satisfaction. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  8. A comparison of sampling media for environmental viable fungi collected in a hospital environment.

    PubMed

    Wu, P C; Su, H J; Ho, H M

    2000-03-01

    Quantitative evaluation of fungal exposure is often conducted by analysis of the composition of microbes in air samples and calculation of the concentrations afterward. The collecting medium that favors the growth for most saprophytic fungi is considered to be the ideal choice in most circumstances. Currently, the culture medium most frequently adopted in environmental sampling for airborne fungi is MEA (malt extract agar) recommended by the ACGIH for its suitability for most fungal growth. DG18 (dichloran glycerol-18), developed in 1980, is suggested for growth at lower water activity (a(w)=0.95) specifically and is not as commonly used in general studies. This investigation collected airborne viable fungi using a single stage/N6 Andersen impactor with MEA and DG18 agar plates attached simultaneously to the same set of samplers. The sampling locations were at 17 sites within a central air-conditioned hospital. After incubation and morphological identification, concentrations of airborne fungi and bacteria were expressed as CFU/m(3) (colony forming units/m(3)). There are 405 DG18 plates and 378 plates available for statistical analysis. Results show that the airborne fungal concentrations, shown by geometric mean (GM), are higher from the DG18 plates than from the MEA plates. The total fungal concentrations is 68.6 vs 12.94 CFU/m(3), and for Aspergillus spp., the concentration is 1.58 vs 0.72 CFU/m(3); for Penicillium spp., 3.37 vs 0.71; and for yeast, 5.09 vs 0.49 CFU/m(3). In addition, the number of different genera present is greater on the DG18 plates than on the MEA plates, on average, 2.85 types vs 1.72. This study suggests that in a hospital environment with 24-h, central air conditioning, DG18 plates appear to be more effective in collecting more fungal colonies in terms of both quantity and types of genera. Such a finding is presumed to be attributed to the characteristic of DG18 in slowing colony growth so that the dominating genus will not over occupy

  9. Artificial Intelligence Software Acquisition Program. Volume 1.

    DTIC Science & Technology

    1987-12-01

    Definition To date, many Artificial Intelligence ( AI ) systems have been developed in university and other. research environments with relatively few...for AI systems which had either completed development or were well underway towards completing a prototype. During the Phase I data collection activity...conducting the AI /KBS system case studies. The questionnaire, contained in Appendix B, is divided into four parts: 1. Introduction 2. Background 3

  10. A Study on the Process Development of Collective Intelligence for Utilization of Unused Space of Abandoned Schools

    ERIC Educational Resources Information Center

    Kim, Uk; Yang, Junyoung

    2015-01-01

    Living conditions and social environment are changing through time, and recently schooling population is diminishing in Korea. Thus the number of abandoned schools has increased. In order to utilize unused space a mechanism is required for the exchange of various ideas. However, there is little effort to provide a platform for this purpose. This…

  11. Robotics and Intelligent Systems Program

    SciTech Connect

    Not Available

    1987-06-01

    This report gives brief descriptions of the projects associated with the Robotics and Intelligent Systems Program (RISP). Projects included in the report are (1) Remote Operations Demonstration Facility; (2) M-2 Servomanipulator; (3) The Advanced Servomanipulator; (4) Hostile Environment Robotic Machine Intelligence Experiment Series robots); and (5) Telerobotic Concepts. These devices have application in nuclear industry and space environments. (JDH)

  12. Intelligence and homosexuality.

    PubMed

    Kanazawa, Satoshi

    2012-09-01

    The origin of preferences and values is an unresolved theoretical problem in behavioural sciences. The Savanna-IQ Interaction Hypothesis, derived from the Savanna Principle and a theory of the evolution of general intelligence, suggests that more intelligent individuals are more likely to acquire and espouse evolutionarily novel preferences and values than less intelligent individuals, but general intelligence has no effect on the acquisition and espousal of evolutionarily familiar preferences and values. Ethnographies of traditional societies suggest that exclusively homosexual behaviour was probably rare in the ancestral environment, so the Hypothesis would predict that more intelligent individuals are more likely to identify themselves as homosexual and engage in homosexual behaviour. Analyses of three large, nationally representative samples (two of which are prospectively longitudinal) from two different nations confirm the prediction.

  13. Social Intelligence: Next Generation Business Intelligence

    SciTech Connect

    Troy Hiltbrand

    2010-09-01

    In order for Business Intelligence to truly move beyond where it is today, a shift in approach must occur. Currently, much of what is accomplished in the realm of Business Intelligence relies on reports and dashboards to summarize and deliver information to end users. As we move into the future, we need to get beyond these reports and dashboards to a point where we break out the individual metrics that are embedded in these reports and interact with these components independently. Breaking these pieces of information out of the confines of reports and dashboards will allow them to be dynamically assembled for delivery in the way that makes most sense to each consumer. With this change in ideology, Business Intelligence will move from the concept of collections of objects, or reports and dashboards, to individual objects, or information components. The Next Generation Business Intelligence suite will translate concepts popularized in Facebook, Flickr, and Digg into enterprise worthy communication vehicles.

  14. Aerosol Sampling System for Collection of Capstone Depleted Uranium Particles in a High-Energy Environment

    SciTech Connect

    Holmes, Thomas D.; Guilmette, Raymond A.; Cheng, Yung-Sung; Parkhurst, MaryAnn; Hoover, Mark D.

    2009-03-01

    The Capstone Depleted Uranium Aerosol Study was undertaken to obtain aerosol samples resulting from a kinetic-energy cartridge with a large-caliber depleted uranium (DU) penetrator striking an Abrams or Bradley test vehicle. The sampling strategy was designed to (1) optimize the performance of the samplers and maintain their integrity in the extreme environment created during perforation of an armored vehicle by a DU penetrator, (2) collect aerosols as a function of time post-impact, and (3) obtain size-classified samples for analysis of chemical composition, particle morphology, and solubility in lung fluid. This paper describes the experimental setup and sampling methodologies used to achieve these objectives. Custom-designed arrays of sampling heads were secured to the inside of the target in locations approximating the breathing zones of the vehicle commander, loader, gunner, and driver. Each array was designed to support nine filter cassettes and nine cascade impactors mounted with quick-disconnect fittings. Shielding and sampler placement strategies were used to minimize sampler loss caused by the penetrator impact and the resulting fragments of eroded penetrator and perforated armor. A cyclone train was used to collect larger quantities of DU aerosol for chemical composition and solubility. A moving filter sample was used to obtain semicontinuous samples for depleted uranium concentration determination. Control for the air samplers was provided by five remotely located valve control and pressure monitoring units located inside and around the test vehicle. These units were connected to a computer interface chassis and controlled using a customized LabVIEW engineering computer control program. The aerosol sampling arrays and control systems for the Capstone study provided the needed aerosol samples for physicochemical analysis, and the resultant data were used for risk assessment of exposure to DU aerosol.

  15. Aerosol sampling system for collection of Capstone depleted uranium particles in a high-energy environment.

    PubMed

    Holmes, Thomas D; Guilmette, Raymond A; Cheng, Yung Sung; Parkhurst, Mary Ann; Hoover, Mark D

    2009-03-01

    The Capstone Depleted Uranium (DU) Aerosol Study was undertaken to obtain aerosol samples resulting from a large-caliber DU penetrator striking an Abrams or Bradley test vehicle. The sampling strategy was designed to (1) optimize the performance of the samplers and maintain their integrity in the extreme environment created during perforation of an armored vehicle by a DU penetrator, (2) collect aerosols as a function of time post perforation, and (3) obtain size-classified samples for analysis of chemical composition, particle morphology, and solubility in lung fluid. This paper describes the experimental setup and sampling methodologies used to achieve these objectives. Custom-designed arrays of sampling heads were secured to the inside of the target in locations approximating the breathing zones of the crew locations in the test vehicles. Each array was designed to support nine filter cassettes and nine cascade impactors mounted with quick-disconnect fittings. Shielding and sampler placement strategies were used to minimize sampler loss caused by the penetrator impact and the resulting fragments of eroded penetrator and perforated armor. A cyclone train was used to collect larger quantities of DU aerosol for measurement of chemical composition and solubility. A moving filter sample was used to obtain semicontinuous samples for DU concentration determination. Control for the air samplers was provided by five remotely located valve control and pressure monitoring units located inside and around the test vehicle. These units were connected to a computer interface chassis and controlled using a customized LabVIEW engineering computer control program. The aerosol sampling arrays and control systems for the Capstone study provided the needed aerosol samples for physicochemical analysis, and the resultant data were used for risk assessment of exposure to DU aerosol.

  16. Mining the Home Environment

    PubMed Central

    Cook, Diane J.; Krishnan, Narayanan

    2014-01-01

    Individuals spend a majority of their time in their home or workplace and for many, these places are our sanctuaries. As society and technology advance there is a growing interest in improving the intelligence of the environments in which we live and work. By filling home environments with sensors and collecting data during daily routines, researchers can gain insights on human daily behavior and the impact of behavior on the residents and their environments. In this article we provide an overview of the data mining opportunities and challenges that smart environments provide for researchers and offer some suggestions for future work in this area. PMID:25506128

  17. Intelligence, Income, and Education as Potential Influences on a Child's Home Environment: A (Maternal) Sibling-Comparison Design

    ERIC Educational Resources Information Center

    Hadd, Alexandria Ree; Rodgers, Joseph Lee

    2017-01-01

    The quality of the home environment, as a predictor, is related to health, education, and emotion outcomes. However, factors influencing the quality of the home environment, as an outcome, have been understudied--particularly how children construct their own environments. Further, most previous research on family processes and outcomes has…

  18. Specificity improvement for network distributed physiologic alarms based on a simple deterministic reactive intelligent agent in the critical care environment.

    PubMed

    Blum, James M; Kruger, Grant H; Sanders, Kathryn L; Gutierrez, Jorge; Rosenberg, Andrew L

    2009-02-01

    Automated physiologic alarms are available in most commercial physiologic monitors. However, due to the variability of data coming from the physiologic sensors describing the state of patients, false positive alarms frequently occur. Each alarm requires review and documentation, which consumes clinicians' time, may reduce patient safety through 'alert fatigue' and makes automated physician paging infeasible. To address these issues a computerized architecture based on simple reactive intelligent agent technology has been developed and implemented in a live critical care unit to facilitate the investigation of deterministic algorithms for the improvement of the sensitivity and specificity of physiologic alarms. The initial proposed algorithm uses a combination of median filters and production rules to make decisions about what alarms to generate. The alarms are used to classify the state of patients and alerts can be easily viewed and distributed using standard network, SQL database and Internet technologies. To evaluate the proposed algorithm, a 28 day study was conducted in the University of Michigan Medical Center's 14 bed Cardiothoracic Intensive Care Unit. Alarms generated by patient monitors, the intelligent agent and alerts documented on patient flow sheets were compared. Significant improvements in the specificity of the physiologic alarms based on systolic and mean blood pressure was found on average to be 99% and 88% respectively. Even through significant improvements were noted based on this algorithm much work still needs to be done to ensure the sensitivity of alarms and methods to handle spurious sensor data due to patient or sensor movement and other influences.

  19. 78 FR 5504 - Agency Information Collection Activities: Extension of Information Collection; Comment Request

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-01-25

    ... NATIONAL INTELLIGENCE Agency Information Collection Activities: Extension of Information Collection; Comment Request AGENCY: Office of the Director of National Intelligence (ODNI). ACTION: Notice and comment... are directly related to responsibilities assigned to the Director of National Intelligence (DNI) as...

  20. Intelligent flight control systems

    NASA Technical Reports Server (NTRS)

    Stengel, Robert F.

    1993-01-01

    The capabilities of flight control systems can be enhanced by designing them to emulate functions of natural intelligence. Intelligent control functions fall in three categories. Declarative actions involve decision-making, providing models for system monitoring, goal planning, and system/scenario identification. Procedural actions concern skilled behavior and have parallels in guidance, navigation, and adaptation. Reflexive actions are spontaneous, inner-loop responses for control and estimation. Intelligent flight control systems learn knowledge of the aircraft and its mission and adapt to changes in the flight environment. Cognitive models form an efficient basis for integrating 'outer-loop/inner-loop' control functions and for developing robust parallel-processing algorithms.

  1. A Novel Robot System Integrating Biological and Mechanical Intelligence Based on Dissociated Neural Network-Controlled Closed-Loop Environment.

    PubMed

    Li, Yongcheng; Sun, Rong; Wang, Yuechao; Li, Hongyi; Zheng, Xiongfei

    2016-01-01

    We propose the architecture of a novel robot system merging biological and artificial intelligence based on a neural controller connected to an external agent. We initially built a framework that connected the dissociated neural network to a mobile robot system to implement a realistic vehicle. The mobile robot system characterized by a camera and two-wheeled robot was designed to execute the target-searching task. We modified a software architecture and developed a home-made stimulation generator to build a bi-directional connection between the biological and the artificial components via simple binomial coding/decoding schemes. In this paper, we utilized a specific hierarchical dissociated neural network for the first time as the neural controller. Based on our work, neural cultures were successfully employed to control an artificial agent resulting in high performance. Surprisingly, under the tetanus stimulus training, the robot performed better and better with the increasement of training cycle because of the short-term plasticity of neural network (a kind of reinforced learning). Comparing to the work previously reported, we adopted an effective experimental proposal (i.e. increasing the training cycle) to make sure of the occurrence of the short-term plasticity, and preliminarily demonstrated that the improvement of the robot's performance could be caused independently by the plasticity development of dissociated neural network. This new framework may provide some possible solutions for the learning abilities of intelligent robots by the engineering application of the plasticity processing of neural networks, also for the development of theoretical inspiration for the next generation neuro-prostheses on the basis of the bi-directional exchange of information within the hierarchical neural networks.

  2. A Novel Robot System Integrating Biological and Mechanical Intelligence Based on Dissociated Neural Network-Controlled Closed-Loop Environment

    PubMed Central

    Wang, Yuechao; Li, Hongyi; Zheng, Xiongfei

    2016-01-01

    We propose the architecture of a novel robot system merging biological and artificial intelligence based on a neural controller connected to an external agent. We initially built a framework that connected the dissociated neural network to a mobile robot system to implement a realistic vehicle. The mobile robot system characterized by a camera and two-wheeled robot was designed to execute the target-searching task. We modified a software architecture and developed a home-made stimulation generator to build a bi-directional connection between the biological and the artificial components via simple binomial coding/decoding schemes. In this paper, we utilized a specific hierarchical dissociated neural network for the first time as the neural controller. Based on our work, neural cultures were successfully employed to control an artificial agent resulting in high performance. Surprisingly, under the tetanus stimulus training, the robot performed better and better with the increasement of training cycle because of the short-term plasticity of neural network (a kind of reinforced learning). Comparing to the work previously reported, we adopted an effective experimental proposal (i.e. increasing the training cycle) to make sure of the occurrence of the short-term plasticity, and preliminarily demonstrated that the improvement of the robot’s performance could be caused independently by the plasticity development of dissociated neural network. This new framework may provide some possible solutions for the learning abilities of intelligent robots by the engineering application of the plasticity processing of neural networks, also for the development of theoretical inspiration for the next generation neuro-prostheses on the basis of the bi-directional exchange of information within the hierarchical neural networks. PMID:27806074

  3. Resistance to Biocides in Listeria monocytogenes Collected in Meat-Processing Environments

    PubMed Central

    Conficoni, Daniele; Losasso, Carmen; Cortini, Enzo; Di Cesare, Andrea; Cibin, Veronica; Giaccone, Valerio; Corno, Gianluca; Ricci, Antonia

    2016-01-01

    The emergence of microorganisms exerting resistance to biocides is a challenge to meat-processing environments. Bacteria can be intrinsically resistant to biocides but resistance can also be acquired by adaptation to their sub-lethal concentrations. Moreover, the presence of biocide resistance determinants, which is closely linked to antibiotic resistance determinants, could lead to co-selection during disinfection practices along the food chain, and select cross-resistant foodborne pathogens. The purpose of this work was to test the resistance of wild strains of Listeria monocytogenes, isolated from pork meat processing plants, toward benzalkonium chloride (BC), used as proxy of quaternary ammonium compounds. Furthermore, the expression of two non-specific efflux pumps genes (lde and mdrL) under biocide exposure was evaluated. L. monocytogenes were isolated from five processing plants located in the Veneto region (northeast of Italy) before and after cleaning and disinfection (C&D) procedures. A total of 45 strains were collected: 36 strains before and nine after the C&D procedures. Collected strains were typed according to MLST and ERIC profiles. Strains sampled in the same site, isolated before, and after the C&D procedures and displaying the same MLST and ERIC profiles were tested for their sensitivity to different concentrations of BC, in a time course assay. The expression of non-specific efflux pumps was evaluated at each time point by qPCR using tufA gene as housekeeping. A differential expression of the two investigated genes was observed: lde was found to be more expressed by the strains isolated before C&D procedures while its expression was dose-dependent in the case of the post C&D procedures strain. On the contrary, the expression of mdrL was inhibited under low biocidal stress (10 ppm BC) and enhanced in the presence of high stress (100 ppm BC). These findings suggests a possible role for C&D procedures to select L. monocytogenes persisters, pointing

  4. Resistance to Biocides in Listeria monocytogenes Collected in Meat-Processing Environments.

    PubMed

    Conficoni, Daniele; Losasso, Carmen; Cortini, Enzo; Di Cesare, Andrea; Cibin, Veronica; Giaccone, Valerio; Corno, Gianluca; Ricci, Antonia

    2016-01-01

    The emergence of microorganisms exerting resistance to biocides is a challenge to meat-processing environments. Bacteria can be intrinsically resistant to biocides but resistance can also be acquired by adaptation to their sub-lethal concentrations. Moreover, the presence of biocide resistance determinants, which is closely linked to antibiotic resistance determinants, could lead to co-selection during disinfection practices along the food chain, and select cross-resistant foodborne pathogens. The purpose of this work was to test the resistance of wild strains of Listeria monocytogenes, isolated from pork meat processing plants, toward benzalkonium chloride (BC), used as proxy of quaternary ammonium compounds. Furthermore, the expression of two non-specific efflux pumps genes (lde and mdrL) under biocide exposure was evaluated. L. monocytogenes were isolated from five processing plants located in the Veneto region (northeast of Italy) before and after cleaning and disinfection (C&D) procedures. A total of 45 strains were collected: 36 strains before and nine after the C&D procedures. Collected strains were typed according to MLST and ERIC profiles. Strains sampled in the same site, isolated before, and after the C&D procedures and displaying the same MLST and ERIC profiles were tested for their sensitivity to different concentrations of BC, in a time course assay. The expression of non-specific efflux pumps was evaluated at each time point by qPCR using tufA gene as housekeeping. A differential expression of the two investigated genes was observed: lde was found to be more expressed by the strains isolated before C&D procedures while its expression was dose-dependent in the case of the post C&D procedures strain. On the contrary, the expression of mdrL was inhibited under low biocidal stress (10 ppm BC) and enhanced in the presence of high stress (100 ppm BC). These findings suggests a possible role for C&D procedures to select L. monocytogenes persisters, pointing

  5. 76 FR 28801 - Agency Information Collection Activities: Automated Commercial Environment Trade Survey

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-05-18

    ... Environment Trade Survey AGENCY: U.S. Customs and Border Protection, Department of Homeland Security. ACTION... approval in accordance with the Paperwork Reduction Act: Automated Commercial Environment Trade Survey... forms of information. Title: Automated Commercial Environment Trade Survey. OMB Number: Will be assigned...

  6. 76 FR 13204 - Agency Information Collection Activities: Automated Commercial Environment Trade Survey

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-10

    ... Environment Trade Survey AGENCY: U.S. Customs and Border Protection (CBP), Department of Homeland Security...: Automated Commercial Environment Trade Survey. ] This request for comment is being made pursuant to the... Commercial Environment Trade Survey. OMB Number: Will be assigned upon approval. Form Number: None....

  7. Personalized healthcare through intelligent gadgets.

    PubMed

    Jang, Hyeju; Kim, Sanghyun; Bae, Changseok

    2008-01-01

    An intelligent gadget is a wearable platform which is reconfigurable, scalable, and component-based and which can be equipped, carried as a personal accessory, or in a certain case, implanted internally into a body. Various kinds of personal information can be gathered with intelligent gadgets, and that information is used to provide specially personalized services to people in the ubiquitous computing environment. In this paper, we show a personalized healthcare service through intelligent gadgets. A service based on intelligent gadgets can be built intuitively and easily with a context representation language, called the intelligent gadget markup language (IGML) based on the event-condition-action (ECA) rule. The inherent nature of extensibility, not only environmental information but also physiological information can be specified as a context in IGML and can be dealt with an intelligent gadget with ease. It enables intelligent gadgets to be adopted to many different kinds of personalized healthcare services.

  8. Technology, Intelligence, and TRUST

    DTIC Science & Technology

    2007-01-01

    single email or message. The collections team does not have to make an either/or decision about whom to send its intercept or interrogation report...International security studies at the George C. Marshall Center for european security studies in Garmisch- Partenkirchen, Germany. he is a career ... career as an intelligence officer, I was told on numerous occasions, “Trust us, when the balloon goes up, you’ll get all the intelligence you need

  9. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Waltz, David L.

    1982-01-01

    Describes kinds of results achieved by computer programs in artificial intelligence. Topics discussed include heuristic searches, artificial intelligence/psychology, planning program, backward chaining, learning (focusing on Winograd's blocks to explore learning strategies), concept learning, constraint propagation, language understanding…

  10. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Thornburg, David D.

    1986-01-01

    Overview of the artificial intelligence (AI) field provides a definition; discusses past research and areas of future research; describes the design, functions, and capabilities of expert systems and the "Turing Test" for machine intelligence; and lists additional sources for information on artificial intelligence. Languages of AI are…

  11. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Thornburg, David D.

    1986-01-01

    Overview of the artificial intelligence (AI) field provides a definition; discusses past research and areas of future research; describes the design, functions, and capabilities of expert systems and the "Turing Test" for machine intelligence; and lists additional sources for information on artificial intelligence. Languages of AI are…

  12. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Information Technology Quarterly, 1985

    1985-01-01

    This issue of "Information Technology Quarterly" is devoted to the theme of "Artificial Intelligence." It contains two major articles: (1) Artificial Intelligence and Law" (D. Peter O'Neill and George D. Wood); (2) "Artificial Intelligence: A Long and Winding Road" (John J. Simon, Jr.). In addition, it contains two sidebars: (1) "Calculating and…

  13. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Information Technology Quarterly, 1985

    1985-01-01

    This issue of "Information Technology Quarterly" is devoted to the theme of "Artificial Intelligence." It contains two major articles: (1) Artificial Intelligence and Law" (D. Peter O'Neill and George D. Wood); (2) "Artificial Intelligence: A Long and Winding Road" (John J. Simon, Jr.). In addition, it contains two sidebars: (1) "Calculating and…

  14. Competitive Intelligence.

    ERIC Educational Resources Information Center

    Bergeron, Pierrette; Hiller, Christine A.

    2002-01-01

    Reviews the evolution of competitive intelligence since 1994, including terminology and definitions and analytical techniques. Addresses the issue of ethics; explores how information technology supports the competitive intelligence process; and discusses education and training opportunities for competitive intelligence, including core competencies…

  15. The Typologies of Successful and Unsuccessful Students in the Core Subjects of Language Arts, Mathematics, Science, and Social Studies Using the Theory of Multiple Intelligences in a High School Environment in Tennessee.

    ERIC Educational Resources Information Center

    Smith, Wade; Odhiambo, Eucabeth; El Khateeb, Hebatella

    The purpose of this research was to use a Tennessee high school as a research site to assess the impact of H. Gardner's Multiple Intelligences (MI) on students' academic successes in 10th grade English, social studies, mathematics, and science classes. The research used a two-part minimally intrusive data collection protocol. The student…

  16. Employment Law, Negotiation, and the Business Environment: A Cooperative Collective Bargaining Negotiation of the National Hockey League Lockout of 2004

    ERIC Educational Resources Information Center

    Ciocchetti, Corey A.

    2008-01-01

    Employment law is a "must-cover" subject in business environment courses. Comparing the plethora of topics requiring coverage with the limited time devoted to employment law during a typical academic term, other important employment subjects--such as negotiation and collective bargaining--commonly receive short shrift. This article offers a…

  17. Employment Law, Negotiation, and the Business Environment: A Cooperative Collective Bargaining Negotiation of the National Hockey League Lockout of 2004

    ERIC Educational Resources Information Center

    Ciocchetti, Corey A.

    2008-01-01

    Employment law is a "must-cover" subject in business environment courses. Comparing the plethora of topics requiring coverage with the limited time devoted to employment law during a typical academic term, other important employment subjects--such as negotiation and collective bargaining--commonly receive short shrift. This article offers a…

  18. Increasing Intelligence in Inter-Vehicle Communications to Reduce Traffic Congestions: Experiments in Urban and Highway Environments

    PubMed Central

    Filho, Geraldo P. R.; Guidoni, Daniel L.; Pessin, Gustavo; Villas, Leandro A.; Ueyama, Jó

    2016-01-01

    Intelligent Transportation Systems (ITS) rely on Inter-Vehicle Communication (IVC) to streamline the operation of vehicles by managing vehicle traffic, assisting drivers with safety and sharing information, as well as providing appropriate services for passengers. Traffic congestion is an urban mobility problem, which causes stress to drivers and economic losses. In this context, this work proposes a solution for the detection, dissemination and control of congested roads based on inter-vehicle communication, called INCIDEnT. The main goal of the proposed solution is to reduce the average trip time, CO emissions and fuel consumption by allowing motorists to avoid congested roads. The simulation results show that our proposed solution leads to short delays and a low overhead. Moreover, it is efficient with regard to the coverage of the event and the distance to which the information can be propagated. The findings of the investigation show that the proposed solution leads to (i) high hit rate in the classification of the level of congestion, (ii) a reduction in average trip time, (iii) a reduction in fuel consumption, and (iv) reduced CO emissions PMID:27526048

  19. Increasing Intelligence in Inter-Vehicle Communications to Reduce Traffic Congestions: Experiments in Urban and Highway Environments.

    PubMed

    Meneguette, Rodolfo I; Filho, Geraldo P R; Guidoni, Daniel L; Pessin, Gustavo; Villas, Leandro A; Ueyama, Jó

    2016-01-01

    Intelligent Transportation Systems (ITS) rely on Inter-Vehicle Communication (IVC) to streamline the operation of vehicles by managing vehicle traffic, assisting drivers with safety and sharing information, as well as providing appropriate services for passengers. Traffic congestion is an urban mobility problem, which causes stress to drivers and economic losses. In this context, this work proposes a solution for the detection, dissemination and control of congested roads based on inter-vehicle communication, called INCIDEnT. The main goal of the proposed solution is to reduce the average trip time, CO emissions and fuel consumption by allowing motorists to avoid congested roads. The simulation results show that our proposed solution leads to short delays and a low overhead. Moreover, it is efficient with regard to the coverage of the event and the distance to which the information can be propagated. The findings of the investigation show that the proposed solution leads to (i) high hit rate in the classification of the level of congestion, (ii) a reduction in average trip time, (iii) a reduction in fuel consumption, and (iv) reduced CO emissions.

  20. Molecular and dissociation studies of natural gas hydrates collected from different oceanic environments

    NASA Astrophysics Data System (ADS)

    Bourry, C.; Charlou, J.; Donval, J.; Focsa, C.; Chazallon, B.

    2007-12-01

    Natural gas hydrates occur globally in marine sediments or in permafrost regions when specific conditions of high pressure, low temperature and sufficiently methane concentration are combined to initiate their formation and stabilize their structure. As well as they appear attractive for gas industry, natural gas hydrates can have an important impact in continental slope stability or climate change. Therefore, it is important to focus our attention on structural evolution and thermodynamical stability of these natural minerals. For this, high-resolution powder X-ray synchrotron diffraction and Raman spectroscopy techniques are efficient and powerful tools to determine the hydrate structures. We performed a first physical characterization of two intact natural gas hydrates from the Congo-Angola and the Nigerian margin by X-ray synchrotron diffraction. The collected samples exhibit a preponderance of structure I (sI) (cubic lattice with space group Pm n). The Rietveld refinement of lattice parameters for the type I structure gives values intermediate between lattice constant of less pure methane specimens and pure artificial methane hydrates. This indicates that lattice constant can be affected by the presence of encaged CO2, H2S and other gas molecules, even in small amount. Thermal expansion is also presented for Congo-Angola hydrate in the temperature range 90-200 K and coefficients are comparable with values reported for synthetic hydrates at low temperature, whereas they tend to approach ice thermal expansion coefficient at higher temperature. In a second step, we performed a physical characterization by Raman spectroscopy of natural gas hydrates recovered from Haakon Mosby Mud Volcano (Norwegian Margin) during the Vicking cruise (HERMES project, 2006). These samples exhibit as well a preponderance of structure I (sI) embedded in ice originating from frozen pore water and hydrate dissociation during recovery. The dissociation temperature (Td) of these hydrates

  1. Variation of linear and circular polarization persistence for changing field of view and collection area in a forward scattering environment

    NASA Astrophysics Data System (ADS)

    van der Laan, John D.; Wright, Jeremy B.; Scrymgeour, David A.; Kemme, Shanalyn A.; Dereniak, Eustace L.

    2016-05-01

    We present experimental and simulation results for a laboratory-based forward-scattering environment, where 1 μm diameter polystyrene spheres are suspended in water to model the optical scattering properties of fog. Circular polarization maintains its degree of polarization better than linear polarization as the optical thickness of the scattering environment increases. Both simulation and experiment quantify circular polarization's superior persistence, compared to that of linear polarization, and show that it is much less affected by variations in the field of view and collection area of the optical system. Our experimental environment's lateral extent was physically finite, causing a significant difference between measured and simulated degree of polarization values for incident linearly polarized light, but not for circularly polarized light. Through simulation we demonstrate that circular polarization is less susceptible to the finite environmental extent as well as the collection optic's limiting configuration.

  2. Students' Collective Knowledge Construction in the Virtual Learning Environment ""ToLigado"--Your School Interactive Newspaper"

    ERIC Educational Resources Information Center

    Passarelli, Brasilina

    2008-01-01

    Introduction: The ToLigado Project--Your School Interactive Newspaper is an interactive virtual learning environment conceived, developed, implemented and supported by researchers at the School of the Future Research Laboratory of the University of Sao Paulo, Brazil. Method: This virtual learning environment aims to motivate trans-disciplinary…

  3. 78 FR 53172 - Agency Information Collection Activities

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-28

    ... NATIONAL INTELLIGENCE Agency Information Collection Activities AGENCY: Office of the Director of National Intelligence (ODNI). ACTION: Notice. SUMMARY: The Whistleblower Protection Enhancement Act of 2012 (WPEA) was... Director of National Intelligence, Washington, DC 20511. SUPPLEMENTARY INFORMATION: Section 10 of Standard...

  4. Genes, evolution and intelligence.

    PubMed

    Bouchard, Thomas J

    2014-11-01

    I argue that the g factor meets the fundamental criteria of a scientific construct more fully than any other conception of intelligence. I briefly discuss the evidence regarding the relationship of brain size to intelligence. A review of a large body of evidence demonstrates that there is a g factor in a wide range of species and that, in the species studied, it relates to brain size and is heritable. These findings suggest that many species have evolved a general-purpose mechanism (a general biological intelligence) for dealing with the environments in which they evolved. In spite of numerous studies with considerable statistical power, we know of very few genes that influence g and the effects are very small. Nevertheless, g appears to be highly polygenic. Given the complexity of the human brain, it is not surprising that that one of its primary faculties-intelligence-is best explained by the near infinitesimal model of quantitative genetics.

  5. Connected speech intelligibility of children with cochlear implants and children with normal hearing.

    PubMed

    Chin, Steven B; Tsai, Patrick L; Gao, Sujuan

    2003-11-01

    The objective of this study was to compare the connected speech intelligibility of children who use cochlear implants with that of children who have normal hearing. Previous research has shown that speech intelligibility improves from before cochlear implantation to after implantation and that the speech intelligibility of children who use cochlear implants compares favorably with that of children who use conventional hearing aids. However, no research has yet addressed the question of how the speech intelligibility of children who use cochlear implants compares to that of children with normal hearing. In the current study, archival data on connected speech intelligibility from 51 children with cochlear implants were compared with newly collected data from 47 children with normal hearing. Results showed that for children with cochlear implants, greater intelligibility was associated with both increased chronological age and increased duration of cochlear implant use. Consistent with previous studies, children with normal hearing achieved adult-like or near-adult-like intelligibility around the age of 4 years, but a similar peak in intelligibility was not observed for the children who used cochlear implants. On the whole, children with cochlear implants were significantly less intelligible than children with normal hearing, when controlling both for chronological age and for length of auditory experience. These results have implications for the socialization and education of children with cochlear implants, particularly with respect to on-time placement in mainstream educational environments with age peers.

  6. Synthesizing cellular intelligence and artificial intelligence for bioprocesses.

    PubMed

    Patnaik, P R

    2006-01-01

    Microbial processes operated under realistic conditions are difficult to describe by mechanistic models, thereby limiting their optimization and control. Responses of living cells to their environment suggest that they possess some "innate intelligence". Such responses have been modeled by a cybernetic approach. Furthermore, the overall behavior of a bioreactor containing a population of cells may be described and controlled through artificial intelligence methods. Therefore, it seems logical to combine cybernetic models with artificial intelligence to evolve an integrated intelligence-based strategy that is physiologically more faithful than the current approaches. This possibility is discussed, together with practical considerations favoring a hybrid approach that includes some mathematical modeling.

  7. Cooperative Collection Management in the Consortial Environment: The VIVA Pilot Projects.

    ERIC Educational Resources Information Center

    Millson-Martula, Christopher; Pathak, Susanna Bartmann; Pfeiffer, Carol

    2000-01-01

    Offers a descriptive account and critical analysis of three cooperative collection development projects undertaken by the Virtual Library of Virginia (VIVA), a consortium of Virginia academic libraries. Reviews cooperative collection development processes and explains objectives that included cost effectiveness, improved access to information…

  8. Site-Based Management in a Collective Bargaining Environment: Can We Mix Oil and Water?

    ERIC Educational Resources Information Center

    Fossey, Richard

    Site-based management has become a popular school reform strategy. However, conflicts can arise when school districts with collective bargaining try to implement site-based management. Site-based management depends on collaboration and cooperation among educators, both of which conflict with collective bargaining's adversarial nature. There is…

  9. CVSD intelligibility testing

    NASA Astrophysics Data System (ADS)

    Gilmer, J. M.

    Tests of the voice intelligibility of a 16-kilobit per second Continuously Variabale Slope Delta (CVSD) modulation for JTIDS applications are described. A Diagnostic Rhyme Test (DRT), a standard subjective intelligibility measure, was used to provide a reliable quantitative basis for judgement/comparisons of the CVSD performance under variouus test conditions (single-speaker mode, double speaker-mode, and masking channel mode). The DRT intelligibility score at each test condition characterizes the ability of the channel to provide the various psychoacoustic cues needed to distinguish words in a message. The physical hardware used in DRT evaluations is described in detail. The procedures used to collect and reduce the data to a meaningful form are outlined, and some mathematical models for characterizing DRT intelligibility are developed.

  10. Maternal attitudes toward DNA collection for gene-environment studies: a qualitative research study.

    PubMed

    Jenkins, Mary M; Reed-Gross, Erika; Rasmussen, Sonja A; Barfield, Wanda D; Prue, Christine E; Gallagher, Margaret L; Honein, Margaret A

    2009-11-01

    To assess attitudes toward DNA collection in an epidemiological study, focus groups were assembled in September 2007 with mothers who had participated in a case-control study of birth defects. Each recruited mother previously had completed an interview and had received a mailed kit containing cytobrushes to collect buccal cells for DNA from herself, her infant, and her infant's father during the period July 2004 through July 2007. A total of 38 mothers attended six focus groups comprising: (1) non-Hispanic Black mothers of case infants who participated or (2) did not participate in DNA collection, (3) mothers of any race or ethnicity who had case infants of low birth weight who participated or (4) did not participate in DNA collection, and (5) non-Hispanic Black mothers of control infants who participated or (6) did not participate in DNA collection. Moderator-led discussions probed maternal attitudes toward providing specimens, factors that influenced decision making, and collection method preferences. Biologics participants reported that they provided DNA for altruistic reasons. Biologics nonparticipants voiced concerns about government involvement and how their DNA will be used. Information provided (or not provided) on DNA use, storage, and disposal influenced decision making. Biologics participants and nonparticipants reported that paternal skepticism was a barrier to participation. All mothers were asked to rank DNA collection methods in terms of preference (cytobrushes, saliva, mouthwash, newborn blood spots, and blood collection). Preferred methods were convenient and noninvasive. Better understanding attitudes toward DNA collection and preferred collection methods might allow more inclusive participation and benefit future studies. Copyright 2009 Wiley-Liss, Inc.

  11. Exploring Relations among College Students' Prior Knowledge, Implicit Theories of Intelligence, and Self-Regulated Learning in a Hypermedia Environment

    ERIC Educational Resources Information Center

    Greene, Jeffrey Alan; Costa, Lara-Jeane; Robertson, Jane; Pan, Yi; Deekens, Victor M.

    2010-01-01

    Researchers and educators continue to explore how to assist students in the acquisition of conceptual understanding of complex science topics. While hypermedia learning environments (HLEs) afford unique opportunities to display multiple representations of these often abstract topics, students who do not engage in self-regulated learning (SRL) with…

  12. Environmental Factors Related to Cognitive-Intellectual Development at Two Age Levels: When Does the Environment Influence Early Intelligence?

    ERIC Educational Resources Information Center

    Gandour, Mary Jane; And Others

    The two studies reported here explore recent findings indicating that few relationships exist between environmental stimulation and cognitive development during the first 6 months of life. In the first study, three separate home visits (two 90 minutes and one 30 minutes long) were used to assess the physical and social environments of 100…

  13. Racial Differences on a Black Intelligence Test

    ERIC Educational Resources Information Center

    Boone, James A.; Adesso, Vincent J.

    1974-01-01

    In an investigation of racial differences on an "intelligence" test containing items specific to the Black environment, black subjects had a higher mean score than white subjects and there was no positive correlation between the Black Intelligence Test and the Shipley Institute of Living Scale, a traditional intelligence test. Thus, racial…

  14. MAGA, a new database of gas natural emissions: a collaborative web environment for collecting data.

    NASA Astrophysics Data System (ADS)

    Cardellini, Carlo; Chiodini, Giovanni; Frigeri, Alessandro; Bagnato, Emanuela; Frondini, Francesco; Aiuppa, Alessandro

    2014-05-01

    The data on volcanic and non-volcanic gas emissions available online are, as today, are incomplete and most importantly, fragmentary. Hence, there is need for common frameworks to aggregate available data, in order to characterize and quantify the phenomena at various scales. A new and detailed web database (MAGA: MApping GAs emissions) has been developed, and recently improved, to collect data on carbon degassing form volcanic and non-volcanic environments. MAGA database allows researchers to insert data interactively and dynamically into a spatially referred relational database management system, as well as to extract data. MAGA kicked-off with the database set up and with the ingestion in to the database of the data from: i) a literature survey on publications on volcanic gas fluxes including data on active craters degassing, diffuse soil degassing and fumaroles both from dormant closed-conduit volcanoes (e.g., Vulcano, Phlegrean Fields, Santorini, Nysiros, Teide, etc.) and open-vent volcanoes (e.g., Etna, Stromboli, etc.) in the Mediterranean area and Azores, and ii) the revision and update of Googas database on non-volcanic emission of the Italian territory (Chiodini et al., 2008), in the framework of the Deep Earth Carbon Degassing (DECADE) research initiative of the Deep Carbon Observatory (DCO). For each geo-located gas emission site, the database holds images and description of the site and of the emission type (e.g., diffuse emission, plume, fumarole, etc.), gas chemical-isotopic composition (when available), gas temperature and gases fluxes magnitude. Gas sampling, analysis and flux measurement methods are also reported together with references and contacts to researchers expert of each site. In this phase data can be accessed on the network from a web interface, and data-driven web service, where software clients can request data directly from the database, are planned to be implemented shortly. This way Geographical Information Systems (GIS) and

  15. Fleet Assignment Using Collective Intelligence

    NASA Technical Reports Server (NTRS)

    Antoine, Nicolas E.; Bieniawski, Stefan R.; Kroo, Ilan M.; Wolpert, David H.

    2004-01-01

    Airline fleet assignment involves the allocation of aircraft to a set of flights legs in order to meet passenger demand, while satisfying a variety of constraints. Over the course of the day, the routing of each aircraft is determined in order to minimize the number of required flights for a given fleet. The associated flow continuity and aircraft count constraints have led researchers to focus on obtaining quasi-optimal solutions, especially at larger scales. In this paper, the authors propose the application of an agent-based integer optimization algorithm to a "cold start" fleet assignment problem. Results show that the optimizer can successfully solve such highly- constrained problems (129 variables, 184 constraints).

  16. Algorithms for Efficient Intelligence Collection

    DTIC Science & Technology

    2013-09-01

    distributions. Parameters G : Graph to construct graphical model from. (type=NetworkX Graph) joint_prob_prefix: Prefix of file names that contain the...8217PEdata.csv’) Constructs a histogram of edge p_ij values in a graph. Parameters G : Graph . (type=NetworkX Graph) r: Lower and upper range of the...edge p_ij values. (type=histogram) 67 add_pij(G) Calculates the true value of p_ij for every edge in the graph. Parameters G : Graph . (type=NetworkX

  17. Integrating Sensor-Collected Intelligence

    DTIC Science & Technology

    2008-11-01

    information, including suggestions for reducing this burden, to Washington Headquarters Services , Directorate for Information Operations and Reports, 1215...terrestrial backbone and enable authorized users to access data asynchronously and use the search and retrieval services envisioned in the integrated...and incentives to address behavioral and social impediments to information sharing. Push for enterprise services and search tools. Tag both

  18. Fleet Assignment Using Collective Intelligence

    NASA Technical Reports Server (NTRS)

    Antoine, Nicolas E.; Bieniawski, Stefan R.; Kroo, Ilan M.; Wolpert, David H.

    2004-01-01

    Airline fleet assignment involves the allocation of aircraft to a set of flights legs in order to meet passenger demand, while satisfying a variety of constraints. Over the course of the day, the routing of each aircraft is determined in order to minimize the number of required flights for a given fleet. The associated flow continuity and aircraft count constraints have led researchers to focus on obtaining quasi-optimal solutions, especially at larger scales. In this paper, the authors propose the application of an agent-based integer optimization algorithm to a "cold start" fleet assignment problem. Results show that the optimizer can successfully solve such highly- constrained problems (129 variables, 184 constraints).

  19. Isotopic change in the tissues of Bothrops atrox in captivity collected from environments of the eastern Amazon

    NASA Astrophysics Data System (ADS)

    Martinez, M. G.; Chalkidis, H. D.; Amazonas, D. R.; da Silva, A. M.; De Oliveira, R., Jr.; Camargo, P. B.

    2013-12-01

    The Bothrops atrox is little studied because it is sympatric Amazonian animals, and very little is known about the ecology and natural history of this species. It has a generalist diet and the distribution of this species is very wide. The adult animals forage mostly on the ground, while the younger animals prefer to stay on the vegetation. They are easily find in the rainy months in areas near lakes and seasonally flooded and are difficult to find in the driest months, a period where there is less availability of preys in these environments. Due to its aggressiveness, is considered one of the most feared snakes in South America and in the eastern Amazon, being responsible for the largest number of snakebites in the region. Through stable isotope carbon-13 and nitrogen-15, is intended to characterize the variations of the feeding habits of these collected animals in different environments and also when they are kept in captivity, feeding the animal's bioterium. The serpents were collected in environments with different land uses, such as native forest, savannah, pasture and have been brought to the serpentarium Integrated College Tapajos (FIT), being retained in order to Samplings throughout the experiment with feeding mice's own bioterium. When these snakes came from different locations, samples were collected scales and blood (T0), before receiving the new supply (captive), and every time we fed the mice the vivarium, new tissue samples were collected, (T1, T2, T3) to exchange all the nature of food for the food captivity.Based on the results of δ13C and δ15N, the samples collected in the tissues of snakes of different environments (nature and captivity), it was observed that changes in food sources reflect changes in tissues (blood and scales), also reflecting the production of poison different periods of turnover of absorbed material in those tissues, contributing to the study of animal ecology and behavior in relation to habitat.

  20. Applying an intelligent and automated emissions measurement system to characterize the RF environment for supporting wireless technologies

    SciTech Connect

    Keebler, P. F.; Phipps, K. O.

    2006-07-01

    overview of wireless emissions sources, the need for EMC characterization of power and signal cables with exposure to wireless devices, and an intelligent and automated emissions measurement system. Such a system can be used in nuclear power plants to determine the spectral quality of the wireless band, the EMC characterization of power and signal cables, and if wireless technologies can be collocated in plants while reducing the risk of interference with I and C systems. (authors)

  1. Intelligent Membranes: Dream or Reality?

    PubMed

    Gugliuzza, Annarosa

    2013-07-15

    Intelligent materials are claimed to overcome current drawbacks associated with the attainment of high standards of life, health, security and defense. Membrane-based sensors represent a category of smart systems capable of providing a large number of benefits to different markets of textiles, biomedicine, environment, chemistry, agriculture, architecture, transport and energy. Intelligent membranes can be characterized by superior sensitivity, broader dynamic range and highly sophisticated mechanisms of autorecovery. These prerogatives are regarded as the result of multi-compartment arrays, where complementary functions can be accommodated and well-integrated. Based on the mechanism of "sense to act", stimuli-responsive membranes adapt themselves to surrounding environments, producing desired effects such as smart regulation of transport, wetting, transcription, hydrodynamics, separation, and chemical or energy conversion. Hopefully, the design of new smart devices easier to manufacture and assemble can be realized through the integration of sensing membranes with wireless networks, looking at the ambitious challenge to establish long-distance communications. Thus, the transfer of signals to collecting systems could allow continuous and real-time monitoring of data, events and/or processes.

  2. Instrumenting the Intelligence Analysis Process

    SciTech Connect

    Hampson, Ernest; Cowley, Paula J.

    2005-05-02

    The Advanced Research and Development Activity initiated the Novel Intelligence from Massive Data (NIMD) program to develop advanced analytic technologies and methodologies. In order to support this objective, researchers and developers need to understand what analysts do and how they do it. In the past, this knowledge generally was acquired through subjective feedback from analysts. NIMD established the innovative Glass Box Analysis (GBA) Project to instrument a live intelligence mission and unobtrusively capture and objectively study the analysis process. Instrumenting the analysis process requires tailor-made software hooks that grab data from a myriad of disparate application operations and feed into a complex relational database and hierarchical file store to collect, store, retrieve, and distribute analytic data in a manner that maximizes researchers’ understanding. A key to success is determining the correct data to collect and aggregate low-level data into meaningful analytic events. This paper will examine how the GBA team solved some of these challenges, continues to address others, and supports a growing user community in establishing their own GBA environments and/or studying the data generated by GBA analysts working in the Glass Box.

  3. Plant intelligence.

    PubMed

    Trewavas, Anthony

    2005-09-01

    Intelligent behavior is a complex adaptive phenomenon that has evolved to enable organisms to deal with variable environmental circumstances. Maximizing fitness requires skill in foraging for necessary resources (food) in competitive circumstances and is probably the activity in which intelligent behavior is most easily seen. Biologists suggest that intelligence encompasses the characteristics of detailed sensory perception, information processing, learning, memory, choice, optimisation of resource sequestration with minimal outlay, self-recognition, and foresight by predictive modeling. All these properties are concerned with a capacity for problem solving in recurrent and novel situations. Here I review the evidence that individual plant species exhibit all of these intelligent behavioral capabilities but do so through phenotypic plasticity, not movement. Furthermore it is in the competitive foraging for resources that most of these intelligent attributes have been detected. Plants should therefore be regarded as prototypical intelligent organisms, a concept that has considerable consequences for investigations of whole plant communication, computation and signal transduction.

  4. Plant intelligence

    NASA Astrophysics Data System (ADS)

    Trewavas, Anthony

    2005-09-01

    Intelligent behavior is a complex adaptive phenomenon that has evolved to enable organisms to deal with variable environmental circumstances. Maximizing fitness requires skill in foraging for necessary resources (food) in competitive circumstances and is probably the activity in which intelligent behavior is most easily seen. Biologists suggest that intelligence encompasses the characteristics of detailed sensory perception, information processing, learning, memory, choice, optimisation of resource sequestration with minimal outlay, self-recognition, and foresight by predictive modeling. All these properties are concerned with a capacity for problem solving in recurrent and novel situations. Here I review the evidence that individual plant species exhibit all of these intelligent behavioral capabilities but do so through phenotypic plasticity, not movement. Furthermore it is in the competitive foraging for resources that most of these intelligent attributes have been detected. Plants should therefore be regarded as prototypical intelligent organisms, a concept that has considerable consequences for investigations of whole plant communication, computation and signal transduction.

  5. Collecting sensor data in a high-performance computing environment: a case-study

    SciTech Connect

    Pouchard, Line Catherine; Dobson, Jonathan D; Poole, Stephen W

    2010-01-01

    Many research questions remain open with regard to improving reliability in exascale systems. Among others, statistics-based analysis has been used to find anomalies, to isolate root causes, and attempt to predict failures. But well-understood methods and best practices for collecting reliability data in a uniform way are still lacking, which impedes analysis. We report our experience with collecting these data from heterogeneous sources on a testbed cluster and present our data collection tool. This case illustrates the fact that reported metrics largely depend upon individual system configuration. We then investigate standards and specifications in manufacturing and desktop computing to identify concepts that may be useful for representing High Performance Computing (HPC) data and present a taxonomy that utilizes these concepts.

  6. Clinical review: The hospital of the future - building intelligent environments to facilitate safe and effective acute care delivery

    PubMed Central

    2012-01-01

    The translation of knowledge into rational care is as essential and pressing a task as the development of new diagnostic or therapeutic devices, and is arguably more important. The emerging science of health care delivery has identified the central role of human factor ergonomics in the prevention of medical error, omission, and waste. Novel informatics and systems engineering strategies provide an excellent opportunity to improve the design of acute care delivery. In this article, future hospitals are envisioned as organizations built around smart environments that facilitate consistent delivery of effective, equitable, and error-free care focused on patient-centered rather than provider-centered outcomes. PMID:22546172

  7. Clinical review: the hospital of the future - building intelligent environments to facilitate safe and effective acute care delivery.

    PubMed

    Pickering, Brian W; Litell, John M; Herasevich, Vitaly; Gajic, Ognjen

    2012-12-12

    The translation of knowledge into rational care is as essential and pressing a task as the development of new diagnostic or therapeutic devices, and is arguably more important. The emerging science of health care delivery has identified the central role of human factor ergonomics in the prevention of medical error, omission, and waste. Novel informatics and systems engineering strategies provide an excellent opportunity to improve the design of acute care delivery. In this article, future hospitals are envisioned as organizations built around smart environments that facilitate consistent delivery of effective, equitable, and error-free care focused on patient-centered rather than provider-centered outcomes.

  8. Me and My Environment Formative Evaluation Report 3. Design and Revision, Data Collection and Portrayal.

    ERIC Educational Resources Information Center

    Steele, Joe M.

    The third in a series of evaluative reports on "Me and My Environment", a group-centered biological sciences program for educable mentally handicapped (EMH) adolescents, provides information about the curriculum design, the analysis and revision of curriculum materials, the gathering and processing of field test data, and a comparison of…

  9. Artificial Intelligence,

    DTIC Science & Technology

    PATTERN RECOGNITION, * ARTIFICIAL INTELLIGENCE , *TEXTBOOKS, COMPUTER PROGRAMMING, MATHEMATICAL LOGIC, ROBOTS, PROBLEM SOLVING, STATISTICAL ANALYSIS, GAME THEORY, NATURAL LANGUAGE, SELF ORGANIZING SYSTEMS.

  10. Intelligent Elements for ISHM

    NASA Technical Reports Server (NTRS)

    Schmalzel, John L.; Morris, Jon; Turowski, Mark; Figueroa, Fernando; Oostdyk, Rebecca

    2008-01-01

    There are a number of architecture models for implementing Integrated Systems Health Management (ISHM) capabilities. For example, approaches based on the OSA-CBM and OSA-EAI models, or specific architectures developed in response to local needs. NASA s John C. Stennis Space Center (SSC) has developed one such version of an extensible architecture in support of rocket engine testing that integrates a palette of functions in order to achieve an ISHM capability. Among the functional capabilities that are supported by the framework are: prognostic models, anomaly detection, a data base of supporting health information, root cause analysis, intelligent elements, and integrated awareness. This paper focuses on the role that intelligent elements can play in ISHM architectures. We define an intelligent element as a smart element with sufficient computing capacity to support anomaly detection or other algorithms in support of ISHM functions. A smart element has the capabilities of supporting networked implementations of IEEE 1451.x smart sensor and actuator protocols. The ISHM group at SSC has been actively developing intelligent elements in conjunction with several partners at other Centers, universities, and companies as part of our ISHM approach for better supporting rocket engine testing. We have developed several implementations. Among the key features for these intelligent sensors is support for IEEE 1451.1 and incorporation of a suite of algorithms for determination of sensor health. Regardless of the potential advantages that can be achieved using intelligent sensors, existing large-scale systems are still based on conventional sensors and data acquisition systems. In order to bring the benefits of intelligent sensors to these environments, we have also developed virtual implementations of intelligent sensors.

  11. Towards a conceptual framework of OSH risk management in smart working environments based on smart PPE, ambient intelligence and the Internet of Things technologies.

    PubMed

    Podgórski, Daniel; Majchrzycka, Katarzyna; Dąbrowska, Anna; Gralewicz, Grzegorz; Okrasa, Małgorzata

    2017-03-01

    Recent developments in domains of ambient intelligence (AmI), Internet of Things, cyber-physical systems (CPS), ubiquitous/pervasive computing, etc., have led to numerous attempts to apply ICT solutions in the occupational safety and health (OSH) area. A literature review reveals a wide range of examples of smart materials, smart personal protective equipment and other AmI applications that have been developed to improve workers' safety and health. Because the use of these solutions modifies work methods, increases complexity of production processes and introduces high dynamism into thus created smart working environments (SWE), a new conceptual framework for dynamic OSH management in SWE is called for. A proposed framework is based on a new paradigm of OSH risk management consisting of real-time risk assessment and the capacity to monitor the risk level of each worker individually. A rationale for context-based reasoning in SWE and a respective model of the SWE-dedicated CPS are also proposed.

  12. Dolphin social intelligence: complex alliance relationships in bottlenose dolphins and a consideration of selective environments for extreme brain size evolution in mammals.

    PubMed

    Connor, Richard C

    2007-04-29

    Bottlenose dolphins in Shark Bay, Australia, live in a large, unbounded society with a fission-fusion grouping pattern. Potential cognitive demands include the need to develop social strategies involving the recognition of a large number of individuals and their relationships with others. Patterns of alliance affiliation among males may be more complex than are currently known for any non-human, with individuals participating in 2-3 levels of shifting alliances. Males mediate alliance relationships with gentle contact behaviours such as petting, but synchrony also plays an important role in affiliative interactions. In general, selection for social intelligence in the context of shifting alliances will depend on the extent to which there are strategic options and risk. Extreme brain size evolution may have occurred more than once in the toothed whales, reaching peaks in the dolphin family and the sperm whale. All three 'peaks' of large brain size evolution in mammals (odontocetes, humans and elephants) shared a common selective environment: extreme mutual dependence based on external threats from predators or conspecific groups. In this context, social competition, and consequently selection for greater cognitive abilities and large brain size, was intense.

  13. A Coalitional View of Site-Based Management: Implications for School Administrators in Collective Bargaining Environments.

    ERIC Educational Resources Information Center

    Conley, Sharon C.; And Others

    1991-01-01

    Analyzes site-based management structures, using specific case of teacher unions and collective bargaining. From coalitional perspective, interview data suggest that teacher union leaders may be in a quandary, shifting between traditional "bread and butter" issues and professional/collegial concerns. A struggle exists involving the…

  14. Managing Archival Collections in an Automated Environment: The Joys of Barcoding

    ERIC Educational Resources Information Center

    Hamburger, Susan; Charles, Jane Veronica

    2006-01-01

    In a desire for automated collection control, archival repositories are adopting barcoding from their library and records center colleagues. This article discusses the planning, design, and implementation phases of barcoding. The authors focus on reasons for barcoding, security benefits, in-room circulation tracking, potential for gathering…

  15. Managing Archival Collections in an Automated Environment: The Joys of Barcoding

    ERIC Educational Resources Information Center

    Hamburger, Susan; Charles, Jane Veronica

    2006-01-01

    In a desire for automated collection control, archival repositories are adopting barcoding from their library and records center colleagues. This article discusses the planning, design, and implementation phases of barcoding. The authors focus on reasons for barcoding, security benefits, in-room circulation tracking, potential for gathering…

  16. Collections Care in Southeast Asia: Conservation and the Need for the Creation of Micro-Environments.

    ERIC Educational Resources Information Center

    Dean, John F.

    For a variety of reasons, collection care in Southeast Asia, especially in the northern regions, is fraught with many difficult challenges. Climates that are unfriendly to paper-based materials, poor economies, war, and civil unrest, are just a few of the reasons that librarians and archivists find it extremely difficult to ensure the survival of…

  17. Intelligent test integration system

    NASA Technical Reports Server (NTRS)

    Sztipanovits, J.; Padalkar, S.; Rodriguez-Moscoso, J.; Kawamura, K.; Purves, B.; Williams, R.; Biglari, H.

    1988-01-01

    A new test technology is described which was developed for space system integration. The ultimate purpose of the system is to support the automatic generation of test systems in real time, distributed computing environments. The Intelligent Test Integration System (ITIS) is a knowledge based layer above the traditional test system components which can generate complex test configurations from the specification of test scenarios.

  18. The use of survey data to study migration–environment relationships in developing countries: alternative approaches to data collection

    PubMed Central

    Henry, Sabine J. F.

    2014-01-01

    Growing interest in the environmental aspects of migration is not matched by research on their interrelationships, due partly to the lack of adequate data sets on the two together. Focusing on the microlevel, we describe the data required to effectively investigate these interrelationships. Data sources are discussed, be collected, focusing on household surveys and remote sensing. The main section of the paper describes three alternative approaches to data collection: (a) using existing population and environmental data from different sources, illustrated by Burkina Faso; (b) adding questions to a survey developed for another purpose, illustrated for Guatemala using a DHS survey; and (c) designing a new survey specifically to collect both migration and environmental data to investigate interrelationships, illustrated by Ecuador. Methods used and summary findings are described, followed by a discussion of their advantages and limitations. We conclude with recommendations as to effective use of each approach as research on migration–environment linkages moves forward. PMID:24701002

  19. The use of survey data to study migration-environment relationships in developing countries: alternative approaches to data collection.

    PubMed

    Bilsborrow, Richard E; Henry, Sabine J F

    2012-09-01

    Growing interest in the environmental aspects of migration is not matched by research on their interrelationships, due partly to the lack of adequate data sets on the two together. Focusing on the microlevel, we describe the data required to effectively investigate these interrelationships. Data sources are discussed, be collected, focusing on household surveys and remote sensing. The main section of the paper describes three alternative approaches to data collection: (a) using existing population and environmental data from different sources, illustrated by Burkina Faso; (b) adding questions to a survey developed for another purpose, illustrated for Guatemala using a DHS survey; and (c) designing a new survey specifically to collect both migration and environmental data to investigate interrelationships, illustrated by Ecuador. Methods used and summary findings are described, followed by a discussion of their advantages and limitations. We conclude with recommendations as to effective use of each approach as research on migration-environment linkages moves forward.

  20. [Detection of Mycobacterium ulcerans DNA in water bugs collected outside the aquatic environment in Benin].

    PubMed

    Marion, E; Deshayes, C; Chauty, A; Cassisa, V; Tchibozo, S; Cottin, J; Doannio, J; Marot, A; Marsollier, L

    2011-04-01

    Hosting of Mycobacterium ulcerans by water bugs is now well established and their vectoring role has been demonstrated experimentally. These findings were recently corroborated by detection of viable bacilli in the saliva of wild water bugs. However, the extent of water bug involvement in M. ulcerans ecology remains unclear and difficult to evaluate due to lack of understanding about water bug biology. The purpose of this study is to describe the first detection of M. ulcerans DNA in the tissue of water bugs captured outside the aquatic environment. This finding supports the hypothesis that water bug migratory behavior contributes not only to the spread of M. ulcerans but also to transmission outside the aquatic environment.

  1. Emerging systems and machine intelligence

    SciTech Connect

    Glasgow, J.C. II.

    1989-01-01

    A theory of mind or intelligence that derives from elements of philosophical, biological, linguistic, and psychological thought as well as of physics and information theory is presented. The hypothesis is defended that intelligence is not a thing but a composite of activities and attributes that must be described in terms of the evolution and interactions of systems, emerging into the environments in which they are embedded. It is proposed that a machine intelligence that emulates human intelligence must conform to certain restrictions that derive from accepting this hypothesis. In particular an implication is that for machine intelligence to be accepted as human-like intelligence it must be produced by a machine that functions in a manner substantially similar to a man and that interacts, grows or learns in and with an environment similar to that in which a man grows and learns. It is proposed that it should be possible to create machines and programs capable of this and that they can achieve intelligence with a large, but not arbitrarily large, degree of human-like characteristics. One system (of many possible systems), in development, based on grammars, and that satisfies some of those requirements is described. It consists of an artificial environment in which a grammar like program based on augmented transition networks, interacts with a human teacher. The purpose of KARA is to learn about the environment by being told and by imitation.

  2. Intelligent Assistance without Artificial Intelligence

    DTIC Science & Technology

    1986-09-01

    Software Objects 4 Ponur 2: Expeftmntal and Pub~c Databases 9 If -𔄁-7~~,- 5 - bnitefignit Assisftanc without Artficial Intel~lgencO ’WIL Kaiseirl...production-qlualty software eng**"eeringevimnmen that provide seemin~gly Intelligent assistance without equirling new breakthoughs In Al research. Themre...8217.cance of SMILF as an example of Intelligent assistance without artificial intelligence . * 2 . ~2 Aichlbtscmr S 1BEi Utended for use by small torns

  3. Collection and Analysis of Quality Data in a Distributed Simulation Test Environment

    DTIC Science & Technology

    1998-01-01

    snp files were snap data files. 4. Data Analysis System The foundation of the data analysis system is the Metrica data management and analysis toolset...foundation for the Metrica data management and analysis system is a relational database. The requirement to structure collected data into database...useful and meaningful manner for all analysts. One of the strong features of Metrica is its ability to contain array data as a field in its database tables

  4. Enhancing Collective C2 in the International Environment: Leveraging the Unclassified Information Sharing Enterprise Service

    DTIC Science & Technology

    2011-06-01

    Leveraging the Unclassified Information Sharing Enterprise Service Topics: 1) C2, Management, and Governance in Civil-Military Operations 2...Networks and Networking 3) Information and Knowledge Exploration By: Paul Chlebo Jr. Sr. Information Analyst, FCI OASD (NII) / DoD CIO, IIS...Form ApprovedOMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time

  5. Strain differences in the collective behaviour of zebrafish (Danio rerio) in heterogeneous environment

    PubMed Central

    Collignon, Bertrand

    2016-01-01

    Recent studies show differences in individual motion and shoaling tendency between strains of the same species. Here, we analyse collective motion and response to visual stimuli in two morphologically different strains (TL and AB) of zebrafish. For both strains, we observed 10 groups of 5 and 10 zebrafish swimming freely in a large experimental tank with two identical landmarks (cylinders or discs) for 1 h. We tracked the positions of the fish by an automated tracking method and compute several metrics at the group level. First, the probability of the presence shows that both strains avoid free space and are more likely to swim in the vicinity of the walls of the tank and the landmarks. Second, the analysis of landmarks occupancy shows that AB zebrafish are more present in their vicinity than TL ones and that both strains regularly transit from one to the other one with no preference on the long duration. Finally, TL zebrafish show a higher cohesion than AB zebrafish. Thus, environmental heterogeneity and duration of the trials allow to reveal individual and collective behavioural variabilities among different strains of zebrafish. These results provide a new insight into the need to take into account individual variability of zebrafish strains for studying collective behaviour. PMID:27853558

  6. Simulation Research Framework with Embedded Intelligent Algorithms for Analysis of Multi-Target, Multi-Sensor, High-Cluttered Environments

    NASA Astrophysics Data System (ADS)

    Hanlon, Nicholas P.

    The National Air Space (NAS) can be easily described as a complex aviation system-of-systems that seamlessly works in harmony to provide safe transit for all aircraft within its domain. The number of aircraft within the NAS is growing and according the FAA, "[o]n any given day, more than 85,000 flights are in the skies in the United States...This translates into roughly 5,000 planes in the skies above the United States at any given moment. More than 15,000 federal air traffic controllers in airport traffic control towers, terminal radar approach control facilities and air route traffic control centers guide pilots through the system". The FAA is currently rolling out the Next Generation Air Transportation System (NextGen) to handle projected growth while leveraging satellite-based navigation for improved tracking. A key component to instantiating NextGen lies in the equipage of Automatic Dependent Surveillance-Broadcast (ADS-B), a performance based surveillance technology that uses GPS navigation for more precise positioning than radars providing increased situational awareness to air traffic controllers. Furthermore, the FAA is integrating UAS into the NAS, further congesting the airways and information load on air traffic controllers. The expected increase in aircraft density due to NextGen implementation and UAS integration will require innovative algorithms to cope with the increase data flow and to support air traffic controllers in their decision-making. This research presents a few innovative algorithms to support increased aircraft density and UAS integration into the NAS. First, it is imperative that individual tracks are correlated prior to fusing to ensure a proper picture of the environment is correct. However, current approaches do not scale well as the number of targets and sensors are increased. This work presents a fuzzy clustering design to hierarchically break the problem down into smaller subspaces prior to correlation. This approach provides

  7. Illusory Intelligences?

    ERIC Educational Resources Information Center

    White, John

    2008-01-01

    Howard Gardner's theory of Multiple Intelligences has had a huge influence on school education. But its credentials lack justification, as the first section of this paper shows via a detailed philosophical analysis of how the intelligences are identified. If we want to make sense of the theory, we need to turn from a philosophical to a historical…

  8. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Wash, Darrel Patrick

    1989-01-01

    Making a machine seem intelligent is not easy. As a consequence, demand has been rising for computer professionals skilled in artificial intelligence and is likely to continue to go up. These workers develop expert systems and solve the mysteries of machine vision, natural language processing, and neural networks. (Editor)

  9. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Smith, Linda C.; And Others

    1988-01-01

    A series of articles focuses on artificial intelligence research and development to enhance information systems and services. Topics discussed include knowledge base designs, expert system development tools, natural language processing, expert systems for reference services, and the role that artificial intelligence concepts should have in…

  10. Illusory Intelligences?

    ERIC Educational Resources Information Center

    White, John

    2008-01-01

    Howard Gardner's theory of Multiple Intelligences has had a huge influence on school education. But its credentials lack justification, as the first section of this paper shows via a detailed philosophical analysis of how the intelligences are identified. If we want to make sense of the theory, we need to turn from a philosophical to a historical…

  11. Intelligent buildings.

    PubMed

    Williams, W E

    1987-01-01

    The maturing of technologies in computer capabilities, particularly direct digital signals, has provided an exciting variety of new communication and facility control opportunities. These include telecommunications, energy management systems, security systems, office automation systems, local area networks, and video conferencing. New applications are developing continuously. The so-called "intelligent" or "smart" building concept evolves from the development of this advanced technology in building environments. Automation has had a dramatic effect on facility planning. For decades, communications were limited to the telephone, the typewritten message, and copy machines. The office itself and its functions had been essentially unchanged for decades. Office automation systems began to surface during the energy crisis and, although their newer technology was timely, they were, for the most part, designed separately from other new building systems. For example, most mainframe computer systems were originally stand-alone, as were word processing installations. In the last five years, the advances in distributive systems, networking, and personal computer capabilities have provided opportunities to make such dramatic improvements in productivity that the Selectric typewriter has gone from being the most advanced piece of office equipment to nearly total obsolescence.

  12. Introducing artificial intelligence

    SciTech Connect

    Simons, G.L.

    1984-01-01

    This book describes the background to AI, explores some characteristic objectives and methods, and indicates some of the practical ramifications for expert, robotic and other types of systems. Following a brief discussion of the nature of intelligence, the recent history of AI is outlined. Characteristic activities of AI systems are explored in Part II. Here it is emphasized that AI systems are not only concerned with ''thought'' but with ''action''-it is an obvious requirement of intelligent commercial and other systems that they behave with competence in a real-world environment. Finally some of the current and future uses of AI systems are explored.

  13. Data collection costs in industrial environments for three occupational posture exposure assessment methods

    PubMed Central

    2012-01-01

    Background Documentation of posture measurement costs is rare and cost models that do exist are generally naïve. This paper provides a comprehensive cost model for biomechanical exposure assessment in occupational studies, documents the monetary costs of three exposure assessment methods for different stakeholders in data collection, and uses simulations to evaluate the relative importance of cost components. Methods Trunk and shoulder posture variables were assessed for 27 aircraft baggage handlers for 3 full shifts each using three methods typical to ergonomic studies: self-report via questionnaire, observation via video film, and full-shift inclinometer registration. The cost model accounted for expenses related to meetings to plan the study, administration, recruitment, equipment, training of data collectors, travel, and onsite data collection. Sensitivity analyses were conducted using simulated study parameters and cost components to investigate the impact on total study cost. Results Inclinometry was the most expensive method (with a total study cost of € 66,657), followed by observation (€ 55,369) and then self report (€ 36,865). The majority of costs (90%) were borne by researchers. Study design parameters such as sample size, measurement scheduling and spacing, concurrent measurements, location and travel, and equipment acquisition were shown to have wide-ranging impacts on costs. Conclusions This study provided a general cost modeling approach that can facilitate decision making and planning of data collection in future studies, as well as investigation into cost efficiency and cost efficient study design. Empirical cost data from a large field study demonstrated the usefulness of the proposed models. PMID:22738341

  14. Water Worlds, Naive physics, Intelligent Life, and Alien Minds

    NASA Astrophysics Data System (ADS)

    Goertzel, Ben; Combs, Allan

    2010-02-01

    Intelligence is about achieving complex goals in complex environments; and it follows that the nature of a specific intelligent system is bound to be highly dependent on the nature of the environment in which it finds itself. Here we explore some of the ways in which human intelligence appears to be dependent on particular broad aspects of the environment in which we evolved, and discuss some possible differences that might be seen in alien intelligences adapted to radically different environments such as worlds comprised entirely of water. As a case in point, possible characteristics of intelligences adapted to complex-fluid-dominated rather than solid-object-dominated environments are discussed in detail.

  15. ‘My Virtual Dream’: Collective Neurofeedback in an Immersive Art Environment

    PubMed Central

    Kovacevic, Natasha; Ritter, Petra; Tays, William; Moreno, Sylvain; McIntosh, Anthony Randal

    2015-01-01

    While human brains are specialized for complex and variable real world tasks, most neuroscience studies reduce environmental complexity, which limits the range of behaviours that can be explored. Motivated to overcome this limitation, we conducted a large-scale experiment with electroencephalography (EEG) based brain-computer interface (BCI) technology as part of an immersive multi-media science-art installation. Data from 523 participants were collected in a single night. The exploratory experiment was designed as a collective computer game where players manipulated mental states of relaxation and concentration with neurofeedback targeting modulation of relative spectral power in alpha and beta frequency ranges. Besides validating robust time-of-night effects, gender differences and distinct spectral power patterns for the two mental states, our results also show differences in neurofeedback learning outcome. The unusually large sample size allowed us to detect unprecedented speed of learning changes in the power spectrum (~ 1 min). Moreover, we found that participants' baseline brain activity predicted subsequent neurofeedback beta training, indicating state-dependent learning. Besides revealing these training effects, which are relevant for BCI applications, our results validate a novel platform engaging art and science and fostering the understanding of brains under natural conditions. PMID:26154513

  16. Chemical and isotopic properties and origin of coarse airborne particles collected by passive samplers in industrial, urban, and rural environments

    NASA Astrophysics Data System (ADS)

    Guéguen, Florence; Stille, Peter; Dietze, Volke; Gieré, Reto

    2012-12-01

    Passive air samplers have been installed in industrial, urban, rural and remote forested environments in order to collect coarse airborne particles for subsequent chemical characterization. To identify principal polluting sources, isotopic tracers, such as Sr, Nd and Pb isotopic ratios, have been used. The mass deposition rates (MDRs) of trace metals, determined for each of the studied environments, clearly indicate that industrial and traffic sites are especially affected by air pollution. Elements such as V, Pb, Fe, Cr, Co, Mo, Cd, Ni, As, Sb and Zn are notably enriched in samples from industrial zones, whereas V, Mn, Ba, Sr, Al, U, Th, rare earth elements (REE), Zr, Y, Cs, Rb, Sb, Sn and Cu are principal components of the airborne particles collected close to areas influenced by heavy traffic. The chemical/isotopic baseline composition derived from the airborne particles is the result of mixing of particles from different industrial sources, traffic and fertilizers. The monthly analysis of trace-metal MDRs of the collected airborne particle samples from different stations around the industrial zone allows for the detection of distinct atmospheric dust-deposition events during the year, characterized by high MDRs. "Natural" dusts from regional soil re-suspension, including from more distant regions like the Sahara desert, might overprint the regional atmospheric baseline composition, as suggested by trace metal trajectories in ternary diagrams and by Sr, Nd and Pb isotope data.

  17. Optimization of liquid scintillation measurements applied to smears and aqueous samples collected in industrial environments

    NASA Astrophysics Data System (ADS)

    Chapon, Arnaud; Pigrée, Gilbert; Putmans, Valérie; Rogel, Gwendal

    Search for low-energy β contaminations in industrial environments requires using Liquid Scintillation Counting. This indirect measurement method supposes a fine control from sampling to measurement itself. Thus, in this paper, we focus on the definition of a measurement method, as generic as possible, for both smears and aqueous samples' characterization. That includes choice of consumables, sampling methods, optimization of counting parameters and definition of energy windows, using the maximization of a Figure of Merit. Detection limits are then calculated considering these optimized parameters. For this purpose, we used PerkinElmer Tri-Carb counters. Nevertheless, except those relative to some parameters specific to PerkinElmer, most of the results presented here can be extended to other counters.

  18. Artificial intelligence in cardiology.

    PubMed

    Bonderman, Diana

    2017-10-04

    Decision-making is complex in modern medicine and should ideally be based on available data, structured knowledge and proper interpretation in the context of an individual patient. Automated algorithms, also termed artificial intelligence that are able to extract meaningful patterns from data collections and build decisions upon identified patterns may be useful assistants in clinical decision-making processes. In this article, artificial intelligence-based studies in clinical cardiology are reviewed. The text also touches on the ethical issues and speculates on the future roles of automated algorithms versus clinicians in cardiology and medicine in general.

  19. A Measure of Real-Time Intelligence

    NASA Astrophysics Data System (ADS)

    Gavane, Vaibhav

    2013-03-01

    We propose a new measure of intelligence for general reinforcement learning agents, based on the notion that an agent's environment can change at any step of execution of the agent. That is, an agent is considered to be interacting with its environment in real-time. In this sense, the resulting intelligence measure is more general than the universal intelligence measure (Legg and Hutter, 2007) and the anytime universal intelligence test (Hernández-Orallo and Dowe, 2010). A major advantage of the measure is that an agent's computational complexity is factored into the measure in a natural manner. We show that there exist agents with intelligence arbitrarily close to the theoretical maximum, and that the intelligence of agents depends on their parallel processing capability. We thus believe that the measure can provide a better evaluation of agents and guidance for building practical agents with high intelligence.

  20. Determination of trace elements in dairy milk collected from the environment of coal-fired power plant.

    PubMed

    Ramamurthy, N; Thillaivelavan, K

    2005-01-01

    In the present study the environmental effects on herbivores mammals in and around Coal-fired power plant were studied by collecting the various milk samples of Cow and Buffalo in clean polyethylene bottles. Milk samples collected at five different locations along the banks of the Paravanaru river in and around Neyveli area. These samples were prepared for trace metal determination. The concentration of trace metals (Cu, Zn, Ni, Cd, Cr, Mn, Co and Hg) were determined by Inductively Coupled Plasma-Atomic Emission Spectrometry (ICP-AES) and Cold Vapour Atomic Absorption Spectrometry (CVAAS). It is observed that the samples contain greater amounts of trace metals than that in the unexposed areas. Obviously the milk samples are contaminated with these metals due to fly ash released in such environment.

  1. User Interface Considerations for Collecting Data at the Point of Care in the Tablet PC Computing Environment

    PubMed Central

    Silvey, Garry M.; Lobach, David F.; Macri, Jennifer M.; Hunt, Megan; Kacmaz, Roje O.; Lee, Paul P.

    2006-01-01

    Collecting clinical data directly from clinicians is a challenge. Many standard development environments designed to expedite the creation of user interfaces for electronic healthcare applications do not provide acceptable components for satisfying the requirements for collecting and displaying clinical data at the point of care on the tablet computer. Through an iterative design and testing approach using think-aloud sessions in the eye care setting, we were able to identify and resolve several user interface issues. Issues that we discovered and subsequently resolved included checkboxes that were too small to be selectable with a stylus, radio buttons that could not be unselected, and font sizes that were too small to be read at arm’s length. PMID:17238715

  2. Artificial intelligence: Principles and applications

    SciTech Connect

    Yazdami, M.

    1985-01-01

    The book covers the principles of AI, the main areas of application, as well as considering some of the social implications. The applications chapters have a common format structured as follows: definition of the topic; approach with conventional computing techniques; why 'intelligence' would provide a better approach; and how AI techniques would be used and the limitations. The contents discussed are: Principles of artificial intelligence; AI programming environments; LISP, list processing and pattern-making; AI programming with POP-11; Computer processing of natural language; Speech synthesis and recognition; Computer vision; Artificial intelligence and robotics; The anatomy of expert systems - Forsyth; Machine learning; Memory models of man and machine; Artificial intelligence and cognitive psychology; Breaking out of the chinese room; Social implications of artificial intelligence; and Index.

  3. Baseline occurrence of organochlorine pesticides and other xenobiotics in the marine environment: Caribbean and Pacific collections.

    PubMed

    Menzies, Robert; Soares Quinete, Natalia; Gardinali, Piero; Seba, Douglas

    2013-05-15

    This ongoing survey reports the levels of persistent organic pollutants (POPs) in sea surface slicks collected on a global circumnavigation. Hydrophobic xenobiotic compounds such as POPs are known to accumulate on the sea surface in slicks at concentrations many fold greater than the underlying water column, raising concerns about the ecological impacts due to the high biological activity associated with this zone. Six different categories of POPs were reported: chlorobenzenes, hexachlorocyclohexanes, chlordane related compounds, organochlorine pesticides and other cyclodiene pesticides, DDTs and metabolites, and polychlorinated biphenyls. Concentrations ranged from <1ngL(-1) to 18.45μgL(-1). Ranking analysis indicates an independence of detected concentrations for each class of compounds and their geographical locations. Although concentrations observed were normally low and below commonly accepted toxic levels to animals and humans, they fall within the effective range of concentrations of many hormones and neurotransmitters, thus could potentially act as endocrine disrupters. Copyright © 2013 Elsevier Ltd. All rights reserved.

  4. Engineering robust intelligent robots

    NASA Astrophysics Data System (ADS)

    Hall, E. L.; Ali, S. M. Alhaj; Ghaffari, M.; Liao, X.; Cao, M.

    2010-01-01

    The purpose of this paper is to discuss the challenge of engineering robust intelligent robots. Robust intelligent robots may be considered as ones that not only work in one environment but rather in all types of situations and conditions. Our past work has described sensors for intelligent robots that permit adaptation to changes in the environment. We have also described the combination of these sensors with a "creative controller" that permits adaptive critic, neural network learning, and a dynamic database that permits task selection and criteria adjustment. However, the emphasis of this paper is on engineering solutions which are designed for robust operations and worst case situations such as day night cameras or rain and snow solutions. This ideal model may be compared to various approaches that have been implemented on "production vehicles and equipment" using Ethernet, CAN Bus and JAUS architectures and to modern, embedded, mobile computing architectures. Many prototype intelligent robots have been developed and demonstrated in terms of scientific feasibility but few have reached the stage of a robust engineering solution. Continual innovation and improvement are still required. The significance of this comparison is that it provides some insights that may be useful in designing future robots for various manufacturing, medical, and defense applications where robust and reliable performance is essential.

  5. Intelligence, Information Technology, and Information Warfare.

    ERIC Educational Resources Information Center

    Davies, Philip H. J.

    2002-01-01

    Addresses the use of information technology for intelligence and information warfare in the context of national security and reviews the status of clandestine collection. Discusses hacking, human agent collection, signal interception, covert action, counterintelligence and security, and communications between intelligence producers and consumers…

  6. Intelligence, Information Technology, and Information Warfare.

    ERIC Educational Resources Information Center

    Davies, Philip H. J.

    2002-01-01

    Addresses the use of information technology for intelligence and information warfare in the context of national security and reviews the status of clandestine collection. Discusses hacking, human agent collection, signal interception, covert action, counterintelligence and security, and communications between intelligence producers and consumers…

  7. Analytical design of intelligent machines

    NASA Technical Reports Server (NTRS)

    Saridis, George N.; Valavanis, Kimon P.

    1987-01-01

    The problem of designing 'intelligent machines' to operate in uncertain environments with minimum supervision or interaction with a human operator is examined. The structure of an 'intelligent machine' is defined to be the structure of a Hierarchically Intelligent Control System, composed of three levels hierarchically ordered according to the principle of 'increasing precision with decreasing intelligence', namely: the organizational level, performing general information processing tasks in association with a long-term memory; the coordination level, dealing with specific information processing tasks with a short-term memory; and the control level, which performs the execution of various tasks through hardware using feedback control methods. The behavior of such a machine may be managed by controls with special considerations and its 'intelligence' is directly related to the derivation of a compatible measure that associates the intelligence of the higher levels with the concept of entropy, which is a sufficient analytic measure that unifies the treatment of all the levels of an 'intelligent machine' as the mathematical problem of finding the right sequence of internal decisions and controls for a system structured in the order of intelligence and inverse order of precision such that it minimizes its total entropy. A case study on the automatic maintenance of a nuclear plant illustrates the proposed approach.

  8. Analytical design of intelligent machines

    NASA Technical Reports Server (NTRS)

    Saridis, George N.; Valavanis, Kimon P.

    1987-01-01

    The problem of designing 'intelligent machines' to operate in uncertain environments with minimum supervision or interaction with a human operator is examined. The structure of an 'intelligent machine' is defined to be the structure of a Hierarchically Intelligent Control System, composed of three levels hierarchically ordered according to the principle of 'increasing precision with decreasing intelligence', namely: the organizational level, performing general information processing tasks in association with a long-term memory; the coordination level, dealing with specific information processing tasks with a short-term memory; and the control level, which performs the execution of various tasks through hardware using feedback control methods. The behavior of such a machine may be managed by controls with special considerations and its 'intelligence' is directly related to the derivation of a compatible measure that associates the intelligence of the higher levels with the concept of entropy, which is a sufficient analytic measure that unifies the treatment of all the levels of an 'intelligent machine' as the mathematical problem of finding the right sequence of internal decisions and controls for a system structured in the order of intelligence and inverse order of precision such that it minimizes its total entropy. A case study on the automatic maintenance of a nuclear plant illustrates the proposed approach.

  9. Volatile organic compounds in an urban airborne environment adjacent to a municipal incinerator, waste collection centre and sewage treatment plant

    NASA Astrophysics Data System (ADS)

    Leach, J.; Blanch, A.; Bianchi, A. C.

    The occurrence and temporal distribution of airborne volatile organic compounds (VOC) at nine closely grouped locations in a suburban environment on the edge of the coastline of the Southampton Water estuary, located on the coastline of central southern England, was studied over six monthly periods spanning 1996-1997. The sampling sites circumscribed a juxtaposed municipal incinerator, waste collection and processing centre and sewage treatment plant. Three sets of airborne samples being taken before and after the closure of the municipal incinerator. VOC with volatilities of low to medium polarity ranging broadly from those of n-butane to n-octadecane were the major focus of interest. Over 100 individual compounds were routinely found in localised samples taken during the period of study. The types and concentrations of VOC identified partly reflect the imprint of the various waste processing operations on atmospheric VOC within the local environment. The most abundant VOC classes consisted of aromatic, chlorinated and organosulphide compounds, with smaller proportions of alkanes, alkenes and cycloalkane compounds. Compounds produced by sewage-processing and waste management operations, including volatile organosulphides and various oxygenated compounds, may occasionally exceed olfactory detection thresholds and represent a source of potential odour complaints in the local urban environment.

  10. Foundational Technologies for Activity-Based Intelligence - A Review of the Literature

    DTIC Science & Technology

    2014-02-01

    scientific techniques that have potential utility for ABI are offered. 15. SUBJECT TERMS activity-based intelligence, intelligence analysis , tactical...discussions about intelligence analysis . One source [1] defines ABI as “a discipline of intelligence where the analysis and subsequent collection are focused...backward inferencing and verification operations. Such processes are also described in the latest characterizations of intelligence analysis as

  11. System for intelligent teleoperation research

    SciTech Connect

    Orlando, N.E.

    1983-10-25

    The Automation Technology Branch of NASA Langley Research Center is developing a research capability in the field of artificial intelligence, particularly as applicable in teleoperator/robotics development for remote space operations. As a testbed for experimentation in these areas, a system concept has been developed and is being implemented. This system, termed DAISIE (Distributed Artificially Intelligent System for Interacting with the Environment), interfaces the key processes of perception, reasoning, and manipulation by linking hardware sensors and manipulators to a modular artificial intelligence (AI) software system in a hierarchical control structure. Verification experiments have been performed: one experiment used a blocksworld database and planner embedded in the DAISIE system to intelligently manipulate a simple physical environment; the other experiment implemented a joint-space collision avoidance algorithm. Continued system development is planned.

  12. Effective Intelligence in Urban Environments

    DTIC Science & Technology

    2008-06-13

    no. 4 (July-August 2004): 26-36. Beckett , Ian F.W. “Insurgency in Iraq: An Historical Perspective.” Strategic Studies Institute Monograph (January...Press, 2007. Tse-tung, Mao. On Guerilla Warfare. Translated by Samuel B. Griffith II. Chicago: University of Illinois Press, 2000. Tzu, Sun. The

  13. Aspects of Plant Intelligence

    PubMed Central

    TREWAVAS, ANTHONY

    2003-01-01

    Intelligence is not a term commonly used when plants are discussed. However, I believe that this is an omission based not on a true assessment of the ability of plants to compute complex aspects of their environment, but solely a reflection of a sessile lifestyle. This article, which is admittedly controversial, attempts to raise many issues that surround this area. To commence use of the term intelligence with regard to plant behaviour will lead to a better understanding of the complexity of plant signal transduction and the discrimination and sensitivity with which plants construct images of their environment, and raises critical questions concerning how plants compute responses at the whole‐plant level. Approaches to investigating learning and memory in plants will also be considered. PMID:12740212

  14. Observations on the use of membrane filtration and liquid impingement to collect airborne microorganisms in various atmospheric environments

    USGS Publications Warehouse

    Griffin, Dale W.; Gonzalez, C.; Teigell, N.; Petrosky, T.; Northup, D.E.; Lyles, M.

    2011-01-01

    The influence of sample-collection-time on the recovery of culturable airborne microorganisms using a low-flow-rate membrane-filtration unit and a high-flow-rate liquid impinger were investigated. Differences in recoveries were investigated in four different atmospheric environments, one mid-oceanic at an altitude of ~10.0 m, one on a mountain top at an altitude of ~3,000.0 m, one at ~1.0 m altitude in Tallahassee, Florida, and one at ~1.0 m above ground in a subterranean-cave. Regarding use of membrane filtration, a common trend was observed: the shorter the collection period, the higher the recovery of culturable bacteria and fungi. These data also demonstrated that lower culturable counts were common in the more remote mid-oceanic and mountain-top atmospheric environments with bacteria, fungi, and total numbers averaging (by sample time or method categories) <3.0 colony-forming units (CFU) m -3. At the Florida and subterranean sites, the lowest average count noted was 3.5 bacteria CFU m-3, and the highest averaged 140.4 total CFU m-3. When atmospheric temperature allowed use, the high-volume liquid impinger utilized in this study resulted in much higher recoveries, as much as 10?? greater in a number of the categories (bacterial, fungal, and total CFU). Together, these data illustrated that (1) the high-volume liquid impinger is clearly superior to membrane filtration for aeromicrobiology studies if start-up costs are not an issue and temperature permits use; (2) although membrane filtration is more cost friendly and has a 'typically' wider operational range, its limits include loss of cell viability with increased sample time and issues with effectively extracting nucleic acids for community-based analyses; (3) the ability to recover culturable microorganisms is limited in 'extreme' atmospheric environments and thus the use of a 'limited' methodology in these environments must be taken into account; and (4) the atmosphere culls, i.e., everything is not

  15. Automated Image Intelligence Adaptive Sensor Management System for High Altitude Long Endurance UAVs in a Dynamic and Anti-Access Area Denial Environment

    NASA Astrophysics Data System (ADS)

    Kim, Gi Young

    The problem we investigate deals with an Image Intelligence (IMINT) sensor allocation schedule for High Altitude Long Endurance UAVs in a dynamic and Anti-Access Area Denial (A2AD) environment. The objective is to maximize the Situational Awareness (SA) of decision makers. The value of SA can be improved in two different ways. First, if a sensor allocated to an Areas of Interest (AOI) detects target activity, then the SA value will be increased. Second, the SA value increases if an AOI is monitored for a certain period of time, regardless of target detections. These values are functions of the sensor allocation time, sensor type and mode. Relatively few studies in the archival literature have been devoted to an analytic, detailed explanation of the target detection process, and AOI monitoring value dynamics. These two values are the fundamental criteria used to choose the most judicious sensor allocation schedule. This research presents mathematical expressions for target detection processes, and shows the monitoring value dynamics. Furthermore, the dynamics of target detection is the result of combined processes between belligerent behavior (target activity) and friendly behavior (sensor allocation). We investigate these combined processes and derive mathematical expressions for simplified cases. These closed form mathematical models can be used for Measures of Effectiveness (MOEs), i.e., target activity detection to evaluate sensor allocation schedules. We also verify these models with discrete event simulations which can also be used to describe more complex systems. We introduce several methodologies to achieve a judicious sensor allocation schedule focusing on the AOI monitoring value. The first methodology is a discrete time integer programming model which provides an optimal solution but is impractical for real world scenarios due to its computation time. Thus, it is necessary to trade off the quality of solution with computation time. The Myopic Greedy

  16. Infantry Companies Need Intelligence Cells

    DTIC Science & Technology

    2006-01-01

    billets that need to be filled is greater than the current number of Marines in the intelligence field. In a conventional fight, the intelligence... Marines are a force multiplier to the company. They understand the language and requirements needed by the infantry Marine on the ground, but are also...away manpower from the company. On the contrary, those same Marines will conduct patrols and raids since they know what is needed in collections

  17. Chemical analyses of soil samples collected from the Sandia National Laboratories/NM, Tonopah Test Range environs, 1994-2005.

    SciTech Connect

    Deola, Regina Anne; Oldewage, Hans D.; Herrera, Heidi M.; Miller, Mark Laverne

    2006-05-01

    From 1994 through 2005, the Environmental Management Department of Sandia National Laboratories (SNL) at the Tonopah Test Range (TTR), NV, has collected soil samples at numerous locations on-site, on the perimeter, and off-site for the purpose of determining potential impacts to the environs from operations at TTR. These samples were submitted to an analytical laboratory of metal-in-soil analyses. Intercomparisons of these results were then made to determine if there was any statistical difference between on-site, perimeter, and off-site samples, or if there were increasing or decreasing trends which indicated that further investigation may be warranted. This work provided the SNL Environmental Management Department with a sound baseline data reference against which to compare future operational impacts. In addition, it demonstrates the commitment that the Laboratories have to go beyond mere compliance to achieve excellence in its operations. This data is presented in graphical format with narrative commentaries on particular items of interest.

  18. Genetic and environmental stability of intelligence in childhood and adolescence.

    PubMed

    Franić, Sanja; Dolan, Conor V; van Beijsterveldt, Catherina E M; Hulshoff Pol, Hilleke E; Bartels, Meike; Boomsma, Dorret I

    2014-06-01

    The present study examined the genetic and environmental contributions to the temporal stability of verbal, non-verbal and general intelligence across a developmental period spanning childhood and adolescence (5-18 years). Longitudinal twin data collected in four different studies on a total of 1,748 twins, comprising 4,641 measurement points in total, were analyzed using genetic adaptations of the simplex model. The heterogeneity in the type of instrument used to assess psychometric intelligence across the different subsamples and ages allowed us to address the auxiliary question of how to optimally utilize the existing longitudinal data in the context of gene-finding studies. The results were consistent across domains (verbal, non-verbal and general intelligence), and indicated that phenotypic stability was driven primarily by the high stability of additive genetic factors, that the stability of common environment was moderate, and that the unique environment contributed primarily to change. The cross-subscale stability was consistently low, indicating a small overlap between different domains of intelligence over time. The high stability of additive genetic factors justifies the use of a linear combination of scores across the different ages in the context of gene-finding studies.

  19. Physical Intelligent Sensors

    NASA Technical Reports Server (NTRS)

    Bandhil, Pavan; Chitikeshi, Sanjeevi; Mahajan, Ajay; Figueroa, Fernando

    2005-01-01

    This paper proposes the development of intelligent sensors as part of an integrated systems approach, i.e. one treats the sensors as a complete system with its own sensing hardware (the traditional sensor), A/D converters, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary methodologies that allow them to get better with time. Under a project being undertaken at the NASA s Stennis Space Center, an integrated framework is being developed for the intelligent monitoring of smart elements. These smart elements can be sensors, actuators or other devices. The immediate application is the monitoring of the rocket test stands, but the technology should be generally applicable to the Integrated Systems Health Monitoring (ISHM) vision. This paper outlines progress made in the development of intelligent sensors by describing the work done till date on Physical Intelligent Sensors (PIS). The PIS discussed here consists of a thermocouple used to read temperature in an analog form which is then converted into digital values. A microprocessor collects the sensor readings and runs numerous embedded event detection routines on the collected data and if any event is detected, it is reported, stored and sent to a remote system through an Ethernet connection. Hence the output of the PIS is data coupled with confidence factor in the reliability of the data which leads to information on the health of the sensor at all times. All protocols are consistent with IEEE 1451.X standards. This work lays the foundation for the next generation of smart devices that have embedded intelligence for distributed decision making capabilities.

  20. Capturing biodiversity: linking a cyanobacteria culture collection to the “scratchpads” virtual research environment enhances biodiversity knowledge

    PubMed Central

    Panou, Manthos

    2016-01-01

    Abstract Background Currently, cyanobacterial diversity is examined using a polyphasic approach by assessing morphological and molecular data (Komárek 2015). However, the comparison of morphological and genetic data is sometimes hindered by the lack of cultures of several cyanobacterial morphospecies and inadequate morphological data of sequenced strains (Rajaniemi et al. 2005). Furthermore, in order to evaluate the phenotypic plasticity within defined taxa, the variability observed in cultures has to be compared to the range in natural variation (Komárek and Mareš 2012). Thus, new tools are needed to aggregate, link and process data in a meaningful way, in order to properly study and understand cyanodiversity. New information An online database on cyanobacteria has been created, namely the Cyanobacteria culture collection (CCC) (http://cyanobacteria.myspecies.info/) using as case studies cyanobacterial strains isolated from lakes of Greece, which are part of the AUTH culture collection (School of Biology, Aristotle University of Thessaloniki). The database hosts, for the first time, information and data such as morphology/morphometry, biogeography, phylogeny, microphotographs, distribution maps, toxicology and biochemical traits of the strains. All this data are structured managed, and presented online and are publicly accessible with a recently developed tool, namely “Scratchpads”, a taxon-centric virtual research environment allowing browsing the taxonomic classification and retrieving various kinds of relevant information for each taxon. PMID:27226753

  1. Intelligent Fasteners

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Under a Small Business Innovation Research contract from Marshall Space Flight Center, Ultrafast, Inc. developed the world's first, high-temperature resistant, "intelligent" fastener. NASA needed a critical-fastening appraisal and validation of spacecraft segments that are coupled together in space. The intelligent-bolt technology deletes the self-defeating procedure of having to untighten the fastener, and thus upset the joint, during inspection and maintenance. The Ultrafast solution yielded an innovation that is likely to revolutionize manufacturing assembly, particularly the automobile industry. Other areas of application range from aircraft, computers and fork-lifts to offshore platforms, buildings, and bridges.

  2. Architecture for robot intelligence

    NASA Technical Reports Server (NTRS)

    Peters, II, Richard Alan (Inventor)

    2004-01-01

    An architecture for robot intelligence enables a robot to learn new behaviors and create new behavior sequences autonomously and interact with a dynamically changing environment. Sensory information is mapped onto a Sensory Ego-Sphere (SES) that rapidly identifies important changes in the environment and functions much like short term memory. Behaviors are stored in a DBAM that creates an active map from the robot's current state to a goal state and functions much like long term memory. A dream state converts recent activities stored in the SES and creates or modifies behaviors in the DBAM.

  3. Effects of collection geometry variations on linear and circular polarization persistence in both isotropic-scattering and forward-scattering environments

    DOE PAGES

    van der Laan, John D.; Wright, Jeremy B.; Scrymgeour, David A.; ...

    2016-11-04

    We present simulation and experimental results showing circular polarization is more tolerant of optical collection geometry (field of view and collection area) variations than linear polarization for forward-scattering environments. Circular polarization also persists superiorly in the forward-scattering environment compared to linear polarization by maintaining its degree of polarization better through increasing optical thicknesses. In contrast, both linear and circular polarizations are susceptible to collection geometry variations for isotropic-scattering (Rayleigh regime) environments, and linear polarization maintains a small advantage in polarization persistence. Simulations and measurements are presented for laboratory-based environments of polystyrene microspheres in water. As a result, particle diameters weremore » 0.0824 μm (for isotropic-scattering) and 1.925 μm (for forward-scattering) with an illumination wavelength of 543.5 nm.« less

  4. Effects of collection geometry variations on linear and circular polarization persistence in both isotropic-scattering and forward-scattering environments

    SciTech Connect

    van der Laan, John D.; Wright, Jeremy B.; Scrymgeour, David A.; Kemme, Shanalyn A.; Dereniak, Eustace L.

    2016-11-04

    We present simulation and experimental results showing circular polarization is more tolerant of optical collection geometry (field of view and collection area) variations than linear polarization for forward-scattering environments. Circular polarization also persists superiorly in the forward-scattering environment compared to linear polarization by maintaining its degree of polarization better through increasing optical thicknesses. In contrast, both linear and circular polarizations are susceptible to collection geometry variations for isotropic-scattering (Rayleigh regime) environments, and linear polarization maintains a small advantage in polarization persistence. Simulations and measurements are presented for laboratory-based environments of polystyrene microspheres in water. As a result, particle diameters were 0.0824 μm (for isotropic-scattering) and 1.925 μm (for forward-scattering) with an illumination wavelength of 543.5 nm.

  5. Speech Intelligibility

    NASA Astrophysics Data System (ADS)

    Brand, Thomas

    Speech intelligibility (SI) is important for different fields of research, engineering and diagnostics in order to quantify very different phenomena like the quality of recordings, communication and playback devices, the reverberation of auditoria, characteristics of hearing impairment, benefit using hearing aids or combinations of these things.

  6. Multiple Intelligences.

    ERIC Educational Resources Information Center

    Laughlin, Janet

    1999-01-01

    Details the characteristics of Howard Gardner's seven multiple intelligences (MI): linguistic, logical-mathematical, bodily-kinesthetic, spatial, musical, interpersonal, and intrapersonal. Discusses the implications of MI for instruction. Explores how students can study using their preferred learning style - visual, auditory, and physical study…

  7. Intelligence Studies

    ERIC Educational Resources Information Center

    Monaghan, Peter

    2009-01-01

    To make an academic study of matters inherently secret and potentially explosive seems a tall task. But a growing number of scholars are drawn to understanding spycraft. The interdisciplinary field of intelligence studies is mushrooming, as scholars trained in history, international studies, and political science examine such subjects as the…

  8. Intelligence Studies

    ERIC Educational Resources Information Center

    Monaghan, Peter

    2009-01-01

    To make an academic study of matters inherently secret and potentially explosive seems a tall task. But a growing number of scholars are drawn to understanding spycraft. The interdisciplinary field of intelligence studies is mushrooming, as scholars trained in history, international studies, and political science examine such subjects as the…

  9. Artificial intelligence and the future.

    PubMed

    Clocksin, William F

    2003-08-15

    We consider some of the ideas influencing current artificial-intelligence research and outline an alternative conceptual framework that gives priority to social relationships as a key component and constructor of intelligent behaviour. The framework starts from Weizenbaum's observation that intelligence manifests itself only relative to specific social and cultural contexts. This is in contrast to a prevailing view, which sees intelligence as an abstract capability of the individual mind based on a mechanism for rational thought. The new approach is not based on the conventional idea that the mind is a rational processor of symbolic information, nor does it require the idea that thought is a kind of abstract problem solving with a semantics that is independent of its embodiment. Instead, priority is given to affective and social responses that serve to engage the whole agent in the life of the communities in which it participates. Intelligence is seen not as the deployment of capabilities for problem solving, but as constructed by the continual, ever-changing and unfinished engagement with the social group within the environment. The construction of the identity of the intelligent agent involves the appropriation or 'taking up' of positions within the conversations and narratives in which it participates. Thus, the new approach argues that the intelligent agent is shaped by the meaning ascribed to experience, by its situation in the social matrix, and by practices of self and of relationship into which intelligent life is recruited. This has implications for the technology of the future, as, for example, classic artificial intelligence models such as goal-directed problem solving are seen as special cases of narrative practices instead of as ontological foundations.

  10. Optimising measurement of health-related characteristics of the built environment: Comparing data collected by foot-based street audits, virtual street audits and routine secondary data sources.

    PubMed

    Pliakas, Triantafyllos; Hawkesworth, Sophie; Silverwood, Richard J; Nanchahal, Kiran; Grundy, Chris; Armstrong, Ben; Casas, Juan Pablo; Morris, Richard W; Wilkinson, Paul; Lock, Karen

    2017-01-01

    The role of the neighbourhood environment in influencing health behaviours continues to be an important topic in public health research and policy. Foot-based street audits, virtual street audits and secondary data sources are widespread data collection methods used to objectively measure the built environment in environment-health association studies. We compared these three methods using data collected in a nationally representative epidemiological study in 17 British towns to inform future development of research tools. There was good agreement between foot-based and virtual audit tools. Foot based audits were superior for fine detail features. Secondary data sources measured very different aspects of the local environment that could be used to derive a range of environmental measures if validated properly. Future built environment research should design studies a priori using multiple approaches and varied data sources in order to best capture features that operate on different health behaviours at varying spatial scales.

  11. Artificial Intelligence in Education: An Exploration.

    ERIC Educational Resources Information Center

    Cumming, Geoff

    1998-01-01

    Gives a brief outline of the development of Artificial Intelligence in Education (AIED) which includes psychology, education, cognitive science, computer science, and artificial intelligence. Highlights include learning environments; learner modeling; a situated approach to learning; and current examples of AIED research. (LRW)

  12. Artificial Intelligence in Education: An Exploration.

    ERIC Educational Resources Information Center

    Cumming, Geoff

    1998-01-01

    Gives a brief outline of the development of Artificial Intelligence in Education (AIED) which includes psychology, education, cognitive science, computer science, and artificial intelligence. Highlights include learning environments; learner modeling; a situated approach to learning; and current examples of AIED research. (LRW)

  13. Artificial Intelligence and Computer Assisted Instruction. CITE Report No. 4.

    ERIC Educational Resources Information Center

    Elsom-Cook, Mark

    The purpose of the paper is to outline some of the major ways in which artificial intelligence research and techniques can affect usage of computers in an educational environment. The role of artificial intelligence is defined, and the difference between Computer Aided Instruction (CAI) and Intelligent Computer Aided Instruction (ICAI) is…

  14. Artificial Intelligence and Computer Assisted Instruction. CITE Report No. 4.

    ERIC Educational Resources Information Center

    Elsom-Cook, Mark

    The purpose of the paper is to outline some of the major ways in which artificial intelligence research and techniques can affect usage of computers in an educational environment. The role of artificial intelligence is defined, and the difference between Computer Aided Instruction (CAI) and Intelligent Computer Aided Instruction (ICAI) is…

  15. Artificial Intelligence Applications to High-Technology Training.

    ERIC Educational Resources Information Center

    Dede, Christopher

    1987-01-01

    Discusses the use of artificial intelligence to improve occupational instruction in complex subjects with high performance goals, such as those required for high-technology jobs. Highlights include intelligent computer assisted instruction, examples in space technology training, intelligent simulation environments, and the need for adult training…

  16. Ticks and tick-borne novel bunyavirus collected from the natural environment and domestic animals in Jinan city, East China.

    PubMed

    Wang, Dong; Wang, Yongming; Yang, Guoliang; Liu, Huiyuan; Xin, Zheng

    2016-02-01

    Since 2011, 73 cases of the severe fever with thrombocytopenia syndrome, a novel tick-borne disease, have been reported in Jinan city through information system for disease control and prevention. Therefore, this study aimed to investigate the species, distribution, host animals of ticks and tick-borne pathogens. A total of 722 ticks were collected from two types of natural environment and six kinds of domestic animal in Jinan city. All the sampled ticks belonged to the same species, namely Haemaphysalis longicornis, and 94.7% of them were adult. The density of free-living ticks in grassland was nearly six times that in shrub. The prevalence of the goat (53.3%) was highest among the domestic animals. The host body region most frequently parasitized by H. longicornis was the head (77.8%), especially ears and periocular region. Novel bunyavirus was detected on the free-ranging goats in Jinan city. Acaricide treatment with a higher concentration on the ears, periocular region and the groin of domestic animals should be recommended to control the ticks effectively.

  17. Monitoring the environment and human sentiment on the Great Barrier Reef: Assessing the potential of collective sensing.

    PubMed

    Becken, Susanne; Stantic, Bela; Chen, Jinyan; Alaei, Ali Reza; Connolly, Rod M

    2017-12-01

    With the growth of smartphone usage the number of social media posts has significantly increased and represents potentially valuable information for management, including of natural resources and the environment. Already, evidence of using 'human sensor' in crises management suggests that collective knowledge could be used to complement traditional monitoring. This research uses Twitter data posted from the Great Barrier Reef region, Australia, to assess whether the extent and type of data could be used to Great Barrier Reef organisations as part of their monitoring program. The analysis reveals that large amounts of tweets, covering the geographic area of interest, are available and that the pool of information providers is greatly enhanced by the large number of tourists to this region. A keyword and sentiment analysis demonstrates the usefulness of the Twitter data, but also highlights that the actual number of Reef-related tweets is comparatively small and lacks specificity. Suggestions for further steps towards the development of an integrative data platform that incorporates social media are provided. Copyright © 2017 Elsevier Ltd. All rights reserved.

  18. Chemical analyses of soil samples collected from the Sandia National Laboratories, New Mexico environs, 1993-2005.

    SciTech Connect

    Deola, Regina Anne; Oldewage, Hans D.; Herrera, Heidi; Miller, Mark Laverne

    2006-03-01

    From 1993 through 2005, the Environmental Management Department of Sandia National Laboratories in Albuquerque, New Mexico (SNL/NM), has collected soil and sediment samples at numerous locations on-site, on the perimeter, and off-site for the purpose of determining potential impacts to the environs from operations at the Laboratories. These samples were submitted to an analytical laboratory for metal-in-soil analyses. Intercomparisons of these results were then made to determine if there was any statistical difference between on-site, perimeter, and off-site samples, or if there were year-to-year increasing or decreasing trends which indicated that further investigation may be warranted. This work provided the SNL Environmental Management Department with a sound baseline data reference against which to assess potential current operational impacts or to compare future operational impacts. In addition, it demonstrates the commitment that the Laboratories have to go beyond mere compliance to achieve excellence in its operations. This data is presented in graphical format with narrative commentaries on particular items of interest.

  19. Non-Traditional Forms of Intelligence

    DTIC Science & Technology

    1993-08-30

    Material Exploitation .......................... 70 Open Source Intelligence ( OSINT ) ....................... 72 Intelligence Consumers...resulting in Islamic fundamentalist successes, including potentially Egypt , could have serious regional ramifications. Sub-Saharan Africa, largely...1992, p. 60. 35 In particular, OSINT collection and analysis stands as an under-utilized but highly cost effective way of more accurately defining

  20. Instructional Aspects of Intelligent Tutoring Systems.

    ERIC Educational Resources Information Center

    Pieters, Jules M., Ed.

    This collection contains three papers addressing the instructional aspects of intelligent tutoring systems (ITS): (1) "Some Experiences with Two Intelligent Tutoring Systems for Teaching Computer Programming: Proust and the LISP-Tutor" (van den Berg, Merrienboer, and Maaswinkel); (2) "Some Issues on the Construction of Cooperative…

  1. Instructional Aspects of Intelligent Tutoring Systems.

    ERIC Educational Resources Information Center

    Pieters, Jules M., Ed.

    This collection contains three papers addressing the instructional aspects of intelligent tutoring systems (ITS): (1) "Some Experiences with Two Intelligent Tutoring Systems for Teaching Computer Programming: Proust and the LISP-Tutor" (van den Berg, Merrienboer, and Maaswinkel); (2) "Some Issues on the Construction of Cooperative…

  2. Design and Control of Large Collections of Learning Agents

    NASA Technical Reports Server (NTRS)

    Agogino, Adrian

    2001-01-01

    The intelligent control of multiple autonomous agents is an important yet difficult task. Previous methods used to address this problem have proved to be either too brittle, too hard to use, or not scalable to large systems. The 'Collective Intelligence' project at NASA/Ames provides an elegant, machine-learning approach to address these problems. This approach mathematically defines some essential properties that a reward system should have to promote coordinated behavior among reinforcement learners. This work has focused on creating additional key properties and algorithms within the mathematics of the Collective Intelligence framework. One of the additions will allow agents to learn more quickly, in a more coordinated manner. The other will let agents learn with less knowledge of their environment. These additions will allow the framework to be applied more easily, to a much larger domain of multi-agent problems.

  3. Team B Intelligence Coups

    ERIC Educational Resources Information Center

    Mitchell, Gordon R.

    2006-01-01

    The 2003 Iraq prewar intelligence failure was not simply a case of the U.S. intelligence community providing flawed data to policy-makers. It also involved subversion of the competitive intelligence analysis process, where unofficial intelligence boutiques "stovepiped" misleading intelligence assessments directly to policy-makers and…

  4. Intelligence: Knowns and Unknowns.

    ERIC Educational Resources Information Center

    Neisser, Ulric; And Others

    1996-01-01

    As a response to recent public debate about the nature of intelligence, this article reviews the "state of the art" in the study of intelligence, exploring significant conceptualizations of intelligence, the use and interpretation of intelligence tests, racial or ethnic differences in intelligence, and major issues yet to be resolved.…

  5. Team B Intelligence Coups

    ERIC Educational Resources Information Center

    Mitchell, Gordon R.

    2006-01-01

    The 2003 Iraq prewar intelligence failure was not simply a case of the U.S. intelligence community providing flawed data to policy-makers. It also involved subversion of the competitive intelligence analysis process, where unofficial intelligence boutiques "stovepiped" misleading intelligence assessments directly to policy-makers and…

  6. The Archival and Library Viewpoints of a Collection in a Digital Environment: Is There Any Room for Compromise?

    ERIC Educational Resources Information Center

    Coleman, Sterling, Jr.

    2004-01-01

    This article explores the archivists' and librarians' definition of a collection, and how they respectively arrange their collections in the context of collection development and collection management issues in a digital library. It centers on possible cooperative solutions and highlights, as a case study, the efforts of the Auburn University…

  7. Developing emotional intelligence ability in oncology nurses: a clinical rounds approach.

    PubMed

    Codier, Estelle; Freitas, Beth; Muneno, Lynn

    2013-01-01

    To explore the feasibility and impact of an emotional intelligence ability development program on staff and patient care. A mixed method, pre/post-test design. A tertiary care hospital in urban Honolulu, HI. Rounds took place on a 24-bed inpatient oncology unit. 33 RNs in an oncology unit. After collection of baseline data, the emotional intelligence rounds were conducted in an inpatient oncology nursing unit on all shifts during a 10-month period. Demographic information, emotional intelligence scores, data from rounds, chart reviews of emotional care documentation, and unit-wide satisfaction and safety data. The ability to identify emotions in self and others was demonstrated less frequently than expected in this population. The low test response rate prevented comparison of scores pre- and postintervention. The staff's 94% participation in rounds, the positive (100%) evaluation of rounds, and poststudy improvements in emotional care documentation and emotional care planning suggest a positive effect from the intervention. Additional research is recommended over a longer period of time to evaluate the impact emotional intelligence specifically has on the staff's identification of emotions. Because the intervention involved minimal time and resources, feasibility for continuation of the intervention poststudy was rated "high" by the research team. Research in other disciplines suggests that improvement in emotional intelligence ability in clinical staff nurses may improve retention, performance, and teamwork in nursing, which would be of particular significance in high-risk clinical practice environments. Few research studies have explored development of emotional intelligence abilities in clinical staff nurses. Evidence from this study suggests that interventions in the clinical environment may be used to develop emotional intelligence ability. Impact from such development may be used in the future to not only improve the quality of nursing care, but also

  8. Artificial Intelligence.

    PubMed

    Lawrence, David R; Palacios-González, César; Harris, John

    2016-04-01

    It seems natural to think that the same prudential and ethical reasons for mutual respect and tolerance that one has vis-à-vis other human persons would hold toward newly encountered paradigmatic but nonhuman biological persons. One also tends to think that they would have similar reasons for treating we humans as creatures that count morally in our own right. This line of thought transcends biological boundaries-namely, with regard to artificially (super)intelligent persons-but is this a safe assumption? The issue concerns ultimate moral significance: the significance possessed by human persons, persons from other planets, and hypothetical nonorganic persons in the form of artificial intelligence (AI). This article investigates why our possible relations to AI persons could be more complicated than they first might appear, given that they might possess a radically different nature to us, to the point that civilized or peaceful coexistence in a determinate geographical space could be impossible to achieve.

  9. Intelligent Learning Management Systems: Definition, Features and Measurement of Intelligence

    ERIC Educational Resources Information Center

    Fardinpour, Ali; Pedram, Mir Mohsen; Burkle, Martha

    2014-01-01

    Virtual Learning Environments have been the center of attention in the last few decades and help educators tremendously with providing students with educational resources. Since artificial intelligence was used for educational proposes, learning management system developers showed much interest in making their products smarter and more…

  10. Intelligent Learning Management Systems: Definition, Features and Measurement of Intelligence

    ERIC Educational Resources Information Center

    Fardinpour, Ali; Pedram, Mir Mohsen; Burkle, Martha

    2014-01-01

    Virtual Learning Environments have been the center of attention in the last few decades and help educators tremendously with providing students with educational resources. Since artificial intelligence was used for educational proposes, learning management system developers showed much interest in making their products smarter and more…

  11. Artificial Intelligence and the Future Classroom.

    ERIC Educational Resources Information Center

    Green, John O.

    1984-01-01

    Discusses how the power and potential of the computer may shape the classroom of the future by presenting a scenario of a classroom in the year 2001. The role of artificial intelligence in this environment is considered. (JN)

  12. Artificial Intelligence and the Future Classroom.

    ERIC Educational Resources Information Center

    Green, John O.

    1984-01-01

    Discusses how the power and potential of the computer may shape the classroom of the future by presenting a scenario of a classroom in the year 2001. The role of artificial intelligence in this environment is considered. (JN)

  13. The Modification of Intelligence.

    ERIC Educational Resources Information Center

    Pinillos, Jose Luis

    1982-01-01

    Reviews the arguments supporting and opposing the idea that human intelligence can be improved. Research on the hereditary and environmental determinants of intelligence is examined. Problems in defining and measuring intelligence are discussed. (AM)

  14. An Intelligent Tutoring System.

    ERIC Educational Resources Information Center

    Corbett, Albert

    1988-01-01

    Discusses a research project that uses artificial intelligence techniques to help teach programing. Describes principles and implementation of the LISP Intelligent Tutoring System (LISPITS). Explains how the artificial intelligence technique was developed and possible future research. (MVL)

  15. An Intelligent Tutoring System.

    ERIC Educational Resources Information Center

    Corbett, Albert

    1988-01-01

    Discusses a research project that uses artificial intelligence techniques to help teach programing. Describes principles and implementation of the LISP Intelligent Tutoring System (LISPITS). Explains how the artificial intelligence technique was developed and possible future research. (MVL)

  16. Successful intelligence: finding a balance.

    PubMed

    Sternberg

    1999-11-01

    Human intelligence has long been on the borderline between a scientific and a quasi-scientific field within the scope of psychological science. This is partially because its study and measurement have been particularly susceptible to socio-political agendas, but also because empirical tests of theories of intelligence have too often ranged from inadequate to nonexistent. In this article it is argued that two extremes have prevailed in the study of intelligence. At one extreme are general-ability (g) theorists, who have collected large amounts of data to test the theory of general intelligence, but often using restricted ranges of participants, materials or situational contexts. They also show a tendency to limit their methods of data analysis (e.g. to exploratory factor analysis). At another extreme are theorists arguing for new, multiple intelligences, whose theories have been subjected to few or no empirical tests. I argue that a middle ground is needed that recognizes the multifarious nature of intelligence and of people's conceptions of it, but that also is subjected to rigorous empirical tests.

  17. Intelligent Design and Intelligent Failure

    NASA Technical Reports Server (NTRS)

    Jerman, Gregory

    2015-01-01

    Good Evening, my name is Greg Jerman and for nearly a quarter century I have been performing failure analysis on NASA's aerospace hardware. During that time I had the distinct privilege of keeping the Space Shuttle flying for two thirds of its history. I have analyzed a wide variety of failed hardware from simple electrical cables to cryogenic fuel tanks to high temperature turbine blades. During this time I have found that for all the time we spend intelligently designing things, we need to be equally intelligent about understanding why things fail. The NASA Flight Director for Apollo 13, Gene Kranz, is best known for the expression "Failure is not an option." However, NASA history is filled with failures both large and small, so it might be more accurate to say failure is inevitable. It is how we react and learn from our failures that makes the difference.

  18. The Search for Extraterrestrial Intelligence.

    ERIC Educational Resources Information Center

    Jones, Barrie W.

    2003-01-01

    Traces the efforts of Searching for Extraterrestrial Technological Intelligence (SETI) since 1960 when a radio-telescope was used to see if any messages were being sent from the vicinity of two nearby stars. Describes attempts to detect microwave/optical signals and technological modification of the cosmic environment. (Author/KHR)

  19. The Search for Extraterrestrial Intelligence.

    ERIC Educational Resources Information Center

    Jones, Barrie W.

    2003-01-01

    Traces the efforts of Searching for Extraterrestrial Technological Intelligence (SETI) since 1960 when a radio-telescope was used to see if any messages were being sent from the vicinity of two nearby stars. Describes attempts to detect microwave/optical signals and technological modification of the cosmic environment. (Author/KHR)

  20. A Tasking Construct for Non-Traditional Intelligence, Surveillance, and Reconnaissance

    DTIC Science & Technology

    2009-04-01

    The concept of using traditional strike platforms to collect intelligence , surveillance, and reconnaissance ( ISR ) data is called non-traditional...strike aircraft with a system of collecting ISR data is a concept that supports intelligence and strike objectives at tactical, operational, and... Intelligence , Surveillance, and Reconnaissance ( ISR ) can be collected using a variety of platforms including space, airborne , and ground-based assets

  1. Artistic Intelligences: Implications for Education.

    ERIC Educational Resources Information Center

    Moody, William J., Ed.

    This collection of papers attempted to explicate Howard Gardner's theory of artistic intelligences; argue implications of the theory for arts education; offer methods of implementation; and discuss implications for general education. The topics covered political challenges to implementation; standardized testing in the arts; blueprint models of…

  2. Artistic Intelligences: Implications for Education.

    ERIC Educational Resources Information Center

    Moody, William J., Ed.

    This collection of papers attempted to explicate Howard Gardner's theory of artistic intelligences; argue implications of the theory for arts education; offer methods of implementation; and discuss implications for general education. The topics covered political challenges to implementation; standardized testing in the arts; blueprint models of…

  3. Developing a Tactical Environment Cyber Operations Training Program

    DTIC Science & Technology

    2015-01-31

    Intelligence, Surveillance, and Reconnaissance. Activities that synchro- nize and integrate sensors , assets, and processing to provide information and...align with requirements for the research and development environment. As such, considerations for the facility as a dual -purpose environment should...evaluation? – How should data be captured and where should sensors be placed to optimize data collection? – What data is required for analysis? – What

  4. Ecological Intelligence and Environmental Education: My Journey

    ERIC Educational Resources Information Center

    Bouley, Theresa M.

    2012-01-01

    Many of us are intentional in considering the environment when performing our daily tasks. But how many of us really know the true impacts of our "green" behaviors on the environment? Indeed, is it possible that engaging in green efforts can actually be counterproductive or detrimental to the environment? In his book, "Ecological Intelligence: How…

  5. Ecological Intelligence and Environmental Education: My Journey

    ERIC Educational Resources Information Center

    Bouley, Theresa M.

    2012-01-01

    Many of us are intentional in considering the environment when performing our daily tasks. But how many of us really know the true impacts of our "green" behaviors on the environment? Indeed, is it possible that engaging in green efforts can actually be counterproductive or detrimental to the environment? In his book, "Ecological Intelligence: How…

  6. When Everything is Intelligence - Nothing is Intelligence

    DTIC Science & Technology

    2002-10-01

    Intelligence Analysis : A Discipline for the 21st Century." In it, Professor Wilhelm Agrell of the University of Lund, Sweden reflects on the evolution of...the practice of intelligence analysis into a modern profession. Highlighting what intelligence analysis is and, importantly, is not, he questions the...recent fascination with applying "the concept or perhaps the illusion of intelligence analysis " too broadly, such as to "information processing

  7. Engineering intelligent tutoring systems

    NASA Technical Reports Server (NTRS)

    Warren, Kimberly C.; Goodman, Bradley A.

    1993-01-01

    We have defined an object-oriented software architecture for Intelligent Tutoring Systems (ITS's) to facilitate the rapid development, testing, and fielding of ITS's. This software architecture partitions the functionality of the ITS into a collection of software components with well-defined interfaces and execution concept. The architecture was designed to isolate advanced technology components, partition domain dependencies, take advantage of the increased availability of commercial software packages, and reduce the risks involved in acquiring ITS's. A key component of the architecture, the Executive, is a publish and subscribe message handling component that coordinates all communication between ITS components.

  8. Web Intelligence and Artificial Intelligence in Education

    ERIC Educational Resources Information Center

    Devedzic, Vladan

    2004-01-01

    This paper surveys important aspects of Web Intelligence (WI) in the context of Artificial Intelligence in Education (AIED) research. WI explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-related products, systems, services, and…

  9. Web Intelligence and Artificial Intelligence in Education

    ERIC Educational Resources Information Center

    Devedzic, Vladan

    2004-01-01

    This paper surveys important aspects of Web Intelligence (WI) in the context of Artificial Intelligence in Education (AIED) research. WI explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-related products, systems, services, and…

  10. Intelligent Growth Automaton of Virtual Plant Based on Physiological Engine

    NASA Astrophysics Data System (ADS)

    Zhu, Qingsheng; Guo, Mingwei; Qu, Hongchun; Deng, Qingqing

    In this paper, a novel intelligent growth automaton of virtual plant is proposed. Initially, this intelligent growth automaton analyzes the branching pattern which is controlled by genes and then builds plant; moreover, it stores the information of plant growth, provides the interface between virtual plant and environment, and controls the growth and development of plant on the basis of environment and the function of plant organs. This intelligent growth automaton can simulate that the plant growth is controlled by genetic information system, and the information of environment and the function of plant organs. The experimental results show that the intelligent growth automaton can simulate the growth of plant conveniently and vividly.

  11. Negotiating Intelligently

    NASA Astrophysics Data System (ADS)

    Debenham, John; Simoff, Simeon

    The predominant approaches to automating competitive interaction appeal to the central notion of a utility function that represents an agent's preferences. Agent's are then endowed with machinery that enables them to perform actions that are intended to optimise their expected utility. Despite the extent of this work, the deployment of automatic negotiating agents in real world scenarios is rare. We propose that utility functions, or preference orderings, are often not known with certainty; further, the uncertainty that underpins them is typically in a state of flux. We propose that the key to building intelligent negotiating agents is to take an agent's historic observations as primitive, to model that agent's changing uncertainty in that information, and to use that model as the foundation for the agent's reasoning. We describe an agent architecture, with an attendant theory, that is based on that model. In this approach, the utility of contracts, and the trust and reliability of a trading partner are intermediate concepts that an agent may estimate from its information model. This enables us to describe intelligent agents that are not necessarily utility optimisers, that value information as a commodity, and that build relationships with other agents through the trusted exchange of information as well as contracts.

  12. Informatics and Nursing in a Post-Nursing Informatics World: Future Directions for Nurses in an Automated, Artificially Intelligent, Social-Networked Healthcare Environment.

    PubMed

    Booth, Richard G

    2016-01-01

    The increased adoption and use of technology within healthcare and society has influenced the nursing informatics specialty in a multitude of fashions. Namely, the nursing informatics specialty currently faces a range of important decisions related to its knowledge base, established values and future directions - all of which are in need of development and future-proofing. In light of the increased use of automation, artificial intelligence and big data in healthcare, the specialty must also reconceptualize the roles of both nurses and informaticians to ensure that the nursing profession is ready to operate within future digitalized healthcare ecosystems. To explore these goals, the author of this manuscript outlines an examination of technological advancements currently taking place within healthcare, and also proposes implications for the nursing role and the nursing informatics specialty. Finally, recommendations and insights towards how the roles of nurses and informaticians might evolve or be shaped in the growing post-nursing informatics era are presented.

  13. Emotional intelligence of mental health nurses.

    PubMed

    van Dusseldorp, Loes R L C; van Meijel, Berno K G; Derksen, Jan J L

    2011-02-01

    The aim of this study is to gain insight into the level of emotional intelligence of mental health nurses in the Netherlands. The focus in research on emotional intelligence to date has been on a variety of professionals. However, little is known about emotional intelligence in mental health nurses. The emotional intelligence of 98 Dutch nurses caring for psychiatric patients is reported. Data were collected with the Bar-On Emotional Quotient Inventory within a cross-sectional research design. The mean level of emotional intelligence of this sample of professionals is statistically significant higher than the emotional intelligence of the general population. Female nurses score significantly higher than men on the subscales Empathy, Social Responsibility, Interpersonal Relationship, Emotional Self-awareness, Self-Actualisation and Assertiveness. No correlations are found between years of experience and age on the one hand and emotional intelligence on the other hand. The results of this study show that nurses in psychiatric care indeed score above average in the emotional intelligence required to cope with the amount of emotional labour involved in daily mental health practice. The ascertained large range in emotional intelligence scores among the mental health nurses challenges us to investigate possible implications which higher or lower emotional intelligence levels may have on the quality of care. For instance, a possible relation between the level of emotional intelligence and the quality of the therapeutic nurse-patient relationship or the relation between the level of emotional intelligence and the manner of coping with situations characterised by a great amount of emotional labour (such as caring for patients who self-harm or are suicidal). © 2010 The Authors. Journal compilation © 2010 Blackwell Publishing Ltd.

  14. The IQ-wall and IQ-station -- harnessing our collective intelligence to realize the potential of ultra-resolution and immersive visualization

    SciTech Connect

    Eric A. Wernert; William R. Sherman; Chris Eller; David Reagan; Patrick D. Beard; Eric T. Whiting; Patrick O'Leary

    2012-03-01

    We present a pair of open-recipe, affordably-priced, easy-to-integrate, and easy-to-use visualization systems. The IQ-wall is an ultra-resolution tiled display wall that scales up to 24 screens with a single PC. The IQ-station is a semi-immersive display system that utilizes commodity stereoscopic displays, lower cost tracking systems, and touch overlays. These systems have been designed to support a wide range of research, education, creative activities, and information presentations. They were designed to work equally well as stand-alone installations or as part of a larger distributed visualization ecosystem. We detail the hardware and software components of these systems, describe our deployments and experiences in a variety of research lab and university environments, and share our insights for effective support and community development.

  15. Establishment of Standards for the Indiana-Oregon Music Discrimination Test Based on a Cross-Section of Elementary and Secondary Students With an Analysis of Elements of Environment, Intelligence and Musical Experience and Training in Relation to Music Discrimination. Revised Final Report.

    ERIC Educational Resources Information Center

    Long, Newell H.

    The purposes of this study were to establish norms for the Indiana-Oregon Music Discrimination Test and to explore relationships between music discrimination and selected factors of environment, intelligence, and music experience and training. The test consists of phrases of concert-type music paired with versions of these same phrases in which…

  16. TEx-Sys Model for Building Intelligent Tutoring Systems

    ERIC Educational Resources Information Center

    Stankov, Slavomir; Rosic, Marko; Zitko, Branko; Grubisic, Ani

    2008-01-01

    Special classes of asynchronous e-learning systems are the intelligent tutoring systems which represent an advanced learning and teaching environment adaptable to individual student's characteristics. Authoring shells have an environment that enables development of the intelligent tutoring systems. In this paper we present, in entirety, for the…

  17. TEx-Sys Model for Building Intelligent Tutoring Systems

    ERIC Educational Resources Information Center

    Stankov, Slavomir; Rosic, Marko; Zitko, Branko; Grubisic, Ani

    2008-01-01

    Special classes of asynchronous e-learning systems are the intelligent tutoring systems which represent an advanced learning and teaching environment adaptable to individual student's characteristics. Authoring shells have an environment that enables development of the intelligent tutoring systems. In this paper we present, in entirety, for the…

  18. Artificial Intelligence and Educational Technology: A Natural Synergy. Extended Abstract.

    ERIC Educational Resources Information Center

    McCalla, Gordon I.

    Educational technology and artificial intelligence (AI) are natural partners in the development of environments to support human learning. Designing systems with the characteristics of a rich learning environment is the long term goal of research in intelligent tutoring systems (ITS). Building these characteristics into a system is extremely…

  19. Natural history of Ashkenazi intelligence.

    PubMed

    Cochran, Gregory; Hardy, Jason; Harpending, Henry

    2006-09-01

    This paper elaborates the hypothesis that the unique demography and sociology of Ashkenazim in medieval Europe selected for intelligence. Ashkenazi literacy, economic specialization, and closure to inward gene flow led to a social environment in which there was high fitness payoff to intelligence, specifically verbal and mathematical intelligence but not spatial ability. As with any regime of strong directional selection on a quantitative trait, genetic variants that were otherwise fitness reducing rose in frequency. In particular we propose that the well-known clusters of Ashkenazi genetic diseases, the sphingolipid cluster and the DNA repair cluster in particular, increase intelligence in heterozygotes. Other Ashkenazi disorders are known to increase intelligence. Although these disorders have been attributed to a bottleneck in Ashkenazi history and consequent genetic drift, there is no evidence of any bottleneck. Gene frequencies at a large number of autosomal loci show that if there was a bottleneck then subsequent gene flow from Europeans must have been very large, obliterating the effects of any bottleneck. The clustering of the disorders in only a few pathways and the presence at elevated frequency of more than one deleterious allele at many of them could not have been produced by drift. Instead these are signatures of strong and recent natural selection.

  20. Learning comunication strategies for distributed artificial intelligence

    NASA Astrophysics Data System (ADS)

    Kinney, Michael; Tsatsoulis, Costas

    1992-08-01

    We present a methodology that allows collections of intelligent system to automatically learn communication strategies, so that they can exchange information and coordinate their problem solving activity. In our methodology communication between agents is determined by the agents themselves, which consider the progress of their individual problem solving activities compared to the communication needs of their surrounding agents. Through learning, communication lines between agents might be established or disconnected, communication frequencies modified, and the system can also react to dynamic changes in the environment that might force agents to cease to exist or to be added. We have established dynamic, quantitative measures of the usefulness of a fact, the cost of a fact, the work load of an agent, and the selfishness of an agent (a measure indicating an agent's preference between transmitting information versus performing individual problem solving), and use these values to adapt the communication between intelligent agents. In this paper we present the theoretical foundations of our work together with experimental results and performance statistics of networks of agents involved in cooperative problem solving activities.

  1. Studies in Intelligence. Volume 53, Number 1, March 2009

    DTIC Science & Technology

    2009-03-01

    Studies in Intelligence Journal of the American Intelligence Professional Unclassified extracts from Studies in Intelligence Volume 53, Number 1 ...Bookshelf Report Documentation Page Form ApprovedOMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 ...be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. 1 . REPORT

  2. 78 FR 962 - Agency Information Collection Activities

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-01-07

    ... NATIONAL INTELLIGENCE Agency Information Collection Activities AGENCY: Office of the Director of National Intelligence (ODNI). ACTION: Notice. SUMMARY: In December 2011, the ODNI accepted responsibility from the... Intelligence (DNI) as Security Executive Agent. Accordingly, ODNI is giving public notice regarding its...

  3. The development of a new database of gas emissions: MAGA, a collaborative web environment for collecting data

    NASA Astrophysics Data System (ADS)

    Cardellini, C.; Chiodini, G.; Frigeri, A.; Bagnato, E.; Aiuppa, A.; McCormick, B.

    2013-12-01

    The data on volcanic and non-volcanic gas emissions available online are, as today, incomplete and most importantly, fragmentary. Hence, there is need for common frameworks to aggregate available data, in order to characterize and quantify the phenomena at various spatial and temporal scales. Building on the Googas experience we are now extending its capability, particularly on the user side, by developing a new web environment for collecting and publishing data. We have started to create a new and detailed web database (MAGA: MApping GAs emissions) for the deep carbon degassing in the Mediterranean area. This project is part of the Deep Earth Carbon Degassing (DECADE) research initiative, lunched in 2012 by the Deep Carbon Observatory (DCO) to improve the global budget of endogenous carbon from volcanoes. MAGA database is planned to complement and integrate the work in progress within DECADE in developing CARD (Carbon Degassing) database. MAGA database will allow researchers to insert data interactively and dynamically into a spatially referred relational database management system, as well as to extract data. MAGA kicked-off with the database set up and a complete literature survey on publications on volcanic gas fluxes, by including data on active craters degassing, diffuse soil degassing and fumaroles both from dormant closed-conduit volcanoes (e.g., Vulcano, Phlegrean Fields, Santorini, Nysiros, Teide, etc.) and open-vent volcanoes (e.g., Etna, Stromboli, etc.) in the Mediterranean area and Azores. For each geo-located gas emission site, the database holds images and description of the site and of the emission type (e.g., diffuse emission, plume, fumarole, etc.), gas chemical-isotopic composition (when available), gas temperature and gases fluxes magnitude. Gas sampling, analysis and flux measurement methods are also reported together with references and contacts to researchers expert of the site. Data can be accessed on the network from a web interface or as

  4. ICDA: a platform for Intelligent Care Delivery Analytics.

    PubMed

    Gotz, David; Stavropoulos, Harry; Sun, Jimeng; Wang, Fei

    2012-01-01

    The identification of high-risk patients is a critical component in improving patient outcomes and managing costs. This paper describes the Intelligent Care Delivery Analytics platform (ICDA), a system which enables risk assessment analytics that process large collections of dynamic electronic medical data to identify at-risk patients. ICDA works by ingesting large volumes of data into a common data model, then orchestrating a collection of analytics that identify at-risk patients. It also provides an interactive environment through which users can access and review the analytics results. In addition, ICDA provides APIs via which analytics results can be retrieved to surface in external applications. A detailed review of ICDA's architecture is provided. Descriptions of four use cases are included to illustrate ICDA's application within two different data environments. These use cases showcase the system's flexibility and exemplify the types of analytics it enables.

  5. ICDA: A Platform for Intelligent Care Delivery Analytics

    PubMed Central

    Gotz, David; Stavropoulos, Harry; Sun, Jimeng; Wang, Fei

    2012-01-01

    The identification of high-risk patients is a critical component in improving patient outcomes and managing costs. This paper describes the Intelligent Care Delivery Analytics platform (ICDA), a system which enables risk assessment analytics that process large collections of dynamic electronic medical data to identify at-risk patients. ICDA works by ingesting large volumes of data into a common data model, then orchestrating a collection of analytics that identify at-risk patients. It also provides an interactive environment through which users can access and review the analytics results. In addition, ICDA provides APIs via which analytics results can be retrieved to surface in external applications. A detailed review of ICDA’s architecture is provided. Descriptions of four use cases are included to illustrate ICDA’s application within two different data environments. These use cases showcase the system’s flexibility and exemplify the types of analytics it enables. PMID:23304296

  6. Intelligence Issues for Congress

    DTIC Science & Technology

    2007-01-25

    number. 1. REPORT DATE 25 JAN 2007 2. REPORT TYPE 3. DATES COVERED 00-00-2007 to 00-00-2007 4. TITLE AND SUBTITLE Intelligence Issues for...of 2006, both by Elizabeth B. Bazan . authorization and defense appropriations acts, they include a substantial portion of the overall intelligence...Domain,” Washington Post, Jan . 23, 2005, p. A1. strategically analyze intelligence, and for failing to share intelligence with other intelligence agencies

  7. Intelligent navigation and multivehicle coordination

    NASA Astrophysics Data System (ADS)

    McKay, Mark D.; Anderson, Matthew O.; Kinoshita, Robert A.; Flann, Nicholas S.

    1999-07-01

    The Idaho National Engineering and Environmental Laboratory (INEEL) and Utah State University's Center for Self-Organizing and Intelligent Systems have developed a team of autonomous robotic vehicles. This paper discusses the development of a strategy that uses a sophisticated, highly intelligent sensor platform to allow centralized coordination between smaller and inexpensive robots. The three components of the multi-agent cooperative scheme are small-scale robots, large-scale robots, and the central control station running a mission and path- planning software. The smaller robots are used for activities where the probability of loss increases, such as Unexploded Ordnance (UXO) or mine detonation. The research is aimed at building simple, inexpensive multi-agent vehicles and an intelligent navigation and multi-vehicle coordination system suitable for UXO, environmental remediation or mine detection. These simplified robots are capable of conducting hunting missions using low-cost positioning sensors and intelligent algorithms. Additionally, a larger sensor-rich intelligent system capable of transporting smaller units to outlying remote sites has been developed. The larger system interfaces to the central control station and provides navigation assistance to multiple low-cost vehicles. Finally, mission and path-planning software serves as the operator control unit, allowing central data collection, map creation and tracking, and an interface to the larger system as well as each smaller unit. The power of this scheme is the ability to scale to the appropriate level for the complexity of the mission.

  8. Macromolecular networks and intelligence in microorganisms

    PubMed Central

    Westerhoff, Hans V.; Brooks, Aaron N.; Simeonidis, Evangelos; García-Contreras, Rodolfo; He, Fei; Boogerd, Fred C.; Jackson, Victoria J.; Goncharuk, Valeri; Kolodkin, Alexey

    2014-01-01

    Living organisms persist by virtue of complex interactions among many components organized into dynamic, environment-responsive networks that span multiple scales and dimensions. Biological networks constitute a type of information and communication technology (ICT): they receive information from the outside and inside of cells, integrate and interpret this information, and then activate a response. Biological networks enable molecules within cells, and even cells themselves, to communicate with each other and their environment. We have become accustomed to associating brain activity – particularly activity of the human brain – with a phenomenon we call “intelligence.” Yet, four billion years of evolution could have selected networks with topologies and dynamics that confer traits analogous to this intelligence, even though they were outside the intercellular networks of the brain. Here, we explore how macromolecular networks in microbes confer intelligent characteristics, such as memory, anticipation, adaptation and reflection and we review current understanding of how network organization reflects the type of intelligence required for the environments in which they were selected. We propose that, if we were to leave terms such as “human” and “brain” out of the defining features of “intelligence,” all forms of life – from microbes to humans – exhibit some or all characteristics consistent with “intelligence.” We then review advances in genome-wide data production and analysis, especially in microbes, that provide a lens into microbial intelligence and propose how the insights derived from quantitatively characterizing biomolecular networks may enable synthetic biologists to create intelligent molecular networks for biotechnology, possibly generating new forms of intelligence, first in silico and then in vivo. PMID:25101076

  9. Giftedness and intelligence: one and the same?

    PubMed

    Detterman, D K

    1993-01-01

    Giftedness, like other rare phenomena, is often explained by principles beyond those used to explain the normal variation of mental ability. Before parsimony is abandoned and additional principles are invoked, the following five points should be considered. (1) Gifted samples often have restricted ranges, reducing correlations with intelligence and making standard tests insensitive to relationships that may exist. Though this is an obvious point, it is frequently overlooked. (2) Theories of intelligence that view g as a single global ability are inadequate. Intelligence is better seen as a complex system of independent but interrelated parts. Measures of g are global ratings of system functioning, but global measures do not explain mental ability in terms of either more basic cognitive abilities or underlying brain functioning. More basic explanations of intelligence are essential for understanding giftedness. (3) Correlations among intellectual abilities are lowest for persons of high intelligence. Specific skills will be less highly correlated among the gifted. (4) Heritability of cognitive abilities may differ across the intelligence range, though evidence on this point is mixed. (5) Achievement and intelligence are different things. Discrepancies between intelligence and achievement are due to environment. Such a finding is consistent with the idiosyncratic development of giftedness.

  10. A low-temperature processed environment-friendly full-organic carrier collection layer for polymer solar cells

    SciTech Connect

    Shi, Ai-Li; Li, Yan-Qing E-mail: zhangdd@suda.edu.cn Jiang, Xiao-Chen; Ma, Zhong-Sheng; Wang, Qian-Kun; Guo, Zhen-Yu; Zhang, Dan-Dan E-mail: zhangdd@suda.edu.cn Lee, Shuit-Tong; Tang, Jian-Xin E-mail: zhangdd@suda.edu.cn

    2014-08-04

    We constructed a concept of the full-organic carrier collection layer (CCL) used for polymer solar cells. The CCL is composed of dipyrazino[2,3-f:2′,3′-h]quinoxaline-2,3,6,7,10,11-hexacarbonitrile as hole collection layer (HCL) and chlorine-free solvents (formic acid (FA)) processed 4,7-Diphenyl-1,10-phenanthroline (Bphen) as electron collection layer, exhibiting good solubility, and environmental protection. The FA based device shows ideal power conversion efficiency (3.75%), which is higher than that of control device (3.6%). Besides, the HCL shows a different mechanism in hole extraction by functioning as a charge recombination zone for electrons injected from anode and holes extracted from the donor materials.

  11. Emotional Intelligence Meets Traditional Standards for an Intelligence.

    ERIC Educational Resources Information Center

    Mayer, John D.; Caruso, David R.; Salovey, Peter

    1999-01-01

    Results of 2 studies involving 503 adults and 229 adolescents show that emotional intelligence, as measured by the Multifactor Emotional Intelligence Scale, a new ability test of emotional intelligence, meets 3 classical criteria of a standard intelligence. (SLD)

  12. Increasing Special Library Collection Use in Very Computer Intensive Environments: Automatic Bibliographic Compilation and the Dissemination of Electronic Newsletters.

    ERIC Educational Resources Information Center

    Sanchez, James Joseph

    This paper describes the development and implementation of an automatic bibliographic facility and an electronic newsletter created for a special collection of aerospace and mechanical engineering monographs and articles at the University of Arizona. The project included the development of an online catalog, increasing the depth of bibliographic…

  13. The Relationship between Emotional Intelligence and Perception of Job Performance among Nurses in North West of Iran

    PubMed Central

    Vahidi, Maryam; Namdar Areshtanab, Hossein; Arshadi Bostanabad, Mohammad

    2016-01-01

    Emotional intelligence skills help nurses to cope with the emotional demands of healthcare environment. The aim of this study was to identify the relationship between emotional intelligence and perception of job performance among nurses. Using a correlational descriptive design with stratified random sampling, 338 registered nurses from teaching hospitals in North West of Iran were surveyed. Emotional intelligence and perception of job performance were measured using validated self-report measures. The collected data were analyzed through descriptive and inferential methods using SPSS/13. The mean of nurses' emotional intelligence and their perception of job performance was, respectively, 235.83 ± 37.98 and 157.63 ± 33.23. There was no significant relationship between nurses' emotional intelligence and their perception of job performance. Although there was a significant relationship between intrapersonal subscale of emotional intelligence and job performance, there was none with other subscales. In order to get rid of the physical and psychological effects of stressful work in wards, it seems that nurses just do routine activities and refuse working closely with the patients. It seems that fitting the patient to nurse ratio, dividing work between nurses, and supporting each other are necessary. PMID:27433375

  14. The Relationship between Emotional Intelligence and Perception of Job Performance among Nurses in North West of Iran.

    PubMed

    Vahidi, Maryam; Namdar Areshtanab, Hossein; Arshadi Bostanabad, Mohammad

    2016-01-01

    Emotional intelligence skills help nurses to cope with the emotional demands of healthcare environment. The aim of this study was to identify the relationship between emotional intelligence and perception of job performance among nurses. Using a correlational descriptive design with stratified random sampling, 338 registered nurses from teaching hospitals in North West of Iran were surveyed. Emotional intelligence and perception of job performance were measured using validated self-report measures. The collected data were analyzed through descriptive and inferential methods using SPSS/13. The mean of nurses' emotional intelligence and their perception of job performance was, respectively, 235.83 ± 37.98 and 157.63 ± 33.23. There was no significant relationship between nurses' emotional intelligence and their perception of job performance. Although there was a significant relationship between intrapersonal subscale of emotional intelligence and job performance, there was none with other subscales. In order to get rid of the physical and psychological effects of stressful work in wards, it seems that nurses just do routine activities and refuse working closely with the patients. It seems that fitting the patient to nurse ratio, dividing work between nurses, and supporting each other are necessary.

  15. Fighting for Intelligence: The Design of Intelligence-Led Operations

    DTIC Science & Technology

    2008-01-01

    systems thinking necessary to cope with modern, complex rivals and operating environments requires a reciprocal and carefully designed relationship between operations and intelligence. A paradigm shift in the joint force approach to understanding modern adversaries is long overdue. Learning and understanding the ever-changing structure and relationships of rival systems requires active interaction rather than...design of a campaign. By applying the heuristics of systems thinking and operational design to this problem, an intellectual foundation for

  16. Particulate matter from indoor environments of classroom induced higher cytotoxicity and leakiness in human microvascular endothelial cells in comparison with those collected from corridor.

    PubMed

    Chua, M L; Setyawati, M I; Li, H; Fang, C H Y; Gurusamy, S; Teoh, F T L; Leong, D T; George, S

    2016-09-23

    We investigated the physicochemical properties (size, shape, elemental composition, and endotoxin) of size resolved particulate matter (PM) collected from the indoor and corridor environments of classrooms. A comparative hazard profiling of these PM was conducted using human microvascular endothelial cells (HMVEC). Oxidative stress-dependent cytotoxicity responses were assessed using quantitative reverse transcriptase polymerase chain reaction (RT-PCR) and high content screening (HCS), and disruption of monolayer cell integrity was assessed using fluorescence microscopy and transwell assay. Scanning electron microscopy (SEM) coupled with energy-dispersive X-ray spectroscopy (EDX) analysis showed differences in the morphology and elemental composition of PM of different sizes and origins. While the total mass of PM collected from indoor environment was lower in comparison with those collected from the corridor, the endotoxin content was substantially higher in indoor PM (e.g., ninefold higher endotoxin level in indoor PM8.1-20 ). The ability to induce oxidative stress-mediated cytotoxicity and leakiness in cell monolayer were higher for indoor PM compared to those collected from the corridor. In conclusion, this comparative analysis suggested that indoor PM is relatively more hazardous to the endothelial system possibly because of higher endotoxin content.

  17. Inverting the Army Intelligence Pyramid

    DTIC Science & Technology

    2011-05-19

    Counterinsurgency, Company Intelligence Support Team, COIST, HUMINT, SIGINT, MASINT, OSINT 16. SECURITY CLASSIFICATION OF: (U) 17. LIMITATION OF...intelligence ( OSINT ), signals intelligence (SIGINT), and technical intelligence (TECHINT).14 11

  18. Educational Programs for Intelligence Professionals.

    ERIC Educational Resources Information Center

    Miller, Jerry P.

    1994-01-01

    Discusses the need for education programs for competitive intelligence professionals. Highlights include definitions of intelligence functions, focusing on business intelligence; information utilization by decision makers; information sources; competencies for intelligence professionals; and the development of formal education programs. (38…

  19. Educational Programs for Intelligence Professionals.

    ERIC Educational Resources Information Center

    Miller, Jerry P.

    1994-01-01

    Discusses the need for education programs for competitive intelligence professionals. Highlights include definitions of intelligence functions, focusing on business intelligence; information utilization by decision makers; information sources; competencies for intelligence professionals; and the development of formal education programs. (38…

  20. A Framework System for Intelligent Support in Open Distributed Learning Environments--A Look Back from 16 Years Later

    ERIC Educational Resources Information Center

    Hoppe, H. Ulrich

    2016-01-01

    The 1998 paper by Martin Mühlenbrock, Frank Tewissen, and myself introduced a multi-agent architecture and a component engineering approach for building open distributed learning environments to support group learning in different types of classroom settings. It took up prior work on "multiple student modeling" as a method to configure…