WorldWideScience

Sample records for intelligence support center

  1. Intelligence and High Intensity Drug Trafficking Areas (HIDTA's): A Critical Evaluation of the HIDTA Investigative Support Center (ISC)

    National Research Council Canada - National Science Library

    Gutierrez, Michael

    2004-01-01

    ...) Investigative Support Center (ISC). Prior to 9/11, the national intelligence apparatus was littered with flaws, including lack of information sharing, interagency conflict, and autonomous operations...

  2. VIRTUAL COGNITIVE CENTERS AS INTELLIGENT SYSTEMS FOR MANAGEMENT INFORMATION SUPPORT OF REGIONAL SECURITY

    Directory of Open Access Journals (Sweden)

    A. V. Masloboev

    2014-03-01

    Full Text Available The paper deals with engineering problems and application perspectives of virtual cognitive centers as intelligent systems for information support of interagency activities in the field of complex security management of regional development. A research prototype of virtual cognitive center for regional security management in crisis situations, implemented as hybrid cloud service based on IaaS architectural framework with the usage of multi-agent and web-service technologies has been developed. Virtual cognitive center is a training simulator software system and is intended for solving on the basis of distributed simulation such problems as: strategic planning and forecasting of risk-sustainable development of regional socioeconomic systems, agents of management interaction specification synthesis for regional components security in different crisis situations within the planning stage of joint anti-crisis actions.

  3. The ontology supported intelligent system for experiment search in the scientific Research center

    Directory of Open Access Journals (Sweden)

    Cvjetković Vladimir

    2014-01-01

    Full Text Available Ontologies and corresponding knowledge bases can be quite successfully used for many tasks that rely on domain knowledge and semantic structures, which should be available for machine processing and sharing. Using SPARQL queries for retrieval of required elements from ontologies and knowledge bases, can significantly simplify modeling of arbitrary structures of concepts and data, and implementation of required functionalities. This paper describes developed ontology for support of Research Centre for testing of active substances that conducts scientific experiments. According to created ontology corresponding knowledge base was made and populated with real experimental data. Developed ontology and knowledge base are directly used for an intelligent system of experiment search which is based on many criteria from ontology. Proposed system gets the desired search result, which is actually an experiment in the form of a written report. Presented solution and implementation are very flexible and adaptable, and can be used as kind of a template by similar information system dealing with biological or similar complex system.

  4. Supporting shop floor intelligence

    DEFF Research Database (Denmark)

    Carstensen, Peter; Schmidt, Kjeld; Wiil, Uffe Kock

    1999-01-01

    Many manufacturing enterprises are now trying to introduce various forms of flexible work organizations on the shop floor. However, existing computer-based production planning and control systems pose severe obstacles for autonomous working groups and other kinds of shop floor control to become r......-to-day production planning by supporting intelligent and responsible workers in their situated coordination activities on the shop floor....

  5. Competitive Intelligence and the Information Center.

    Science.gov (United States)

    Greene, H. Frances

    1988-01-01

    Examines the competitive intelligence approach to corporate information gathering, and discusses how it differs from the traditional library information center approach. Steps for developing a competitive intelligence system in the library information center are suggested. (33 references) (MES)

  6. Developing Information Systems for Competitive Intelligence Support.

    Science.gov (United States)

    Hohhof, Bonnie

    1994-01-01

    Discusses issues connected with developing information systems for competitive intelligence support; defines the elements of an effective competitive information system; and summarizes issues affecting system design and implementation. Highlights include intelligence information; information needs; information sources; decision making; and…

  7. INTELLIGENT DECISION SUPPORT ON FOREX

    Directory of Open Access Journals (Sweden)

    V. A. Rybak

    2014-01-01

    Full Text Available A new technology of intelligent decision support on Forex, including forming algorithms of trading signals, rules for the training sample based on technical indicators, which have the highest correlation with the price, the method of reducing the number of losing trades, is proposed. The last is based on an analysis of the wave structure of the market, while the beginning of the cycle (the wave number one is offered to be identified using Bill Williams Oscillator (Awesome oscillator. The process chain of constructing neuro-fuzzy model using software package MatLab is described.

  8. Intelligent tutors for control center operator training

    Energy Technology Data Exchange (ETDEWEB)

    Vale, Z.A. [Porto Univ. (Portugal). Dept. of Electrical and Computer Engineering; Fernandes, M.F.; Marques, A. [Electricity of Portugal, Sacavem (Portugal)

    1995-12-31

    Power systems are presently remotely operated and controlled from control centers that receive on-line information about the power system state. Control center operators have very high-demanding tasks what makes their training a key issue for the performance of the whole power system. Simulators are usually used by electrical utilities for this purpose but they are very expensive applications and their use requires the preparation of the training sessions by qualified training staff which is a very time consuming task. Due to this, these simulators are only used a few times a year. Intelligent Tutoring Systems (ITS) provide some new possibilities for control center operator training making easier its use without much assistance of the teaching staff. On the other hand, an expert system in use in a control center can be adapted to an ITS to train operators without much effort. 18 refs

  9. An intelligent operator support system for dynamic positioning

    NARCIS (Netherlands)

    Diggelen, J. van; Broek, J. van den; Schraagen, J.M.C.; Waa, J.S. van der

    2018-01-01

    This paper proposes a human-centered approach to Dynamic Position-ing systems which combines multiple technologies in an intelligent operator sup-port system (IOSS). IOSS allows the operator to be roaming and do other tasks in quiet conditions. When conditions become more demanding, the IOSS calls

  10. Biometric and intelligent decision making support

    CERN Document Server

    Kaklauskas, Arturas

    2015-01-01

    This book presents different methods for analyzing the body language (movement, position, use of personal space, silences, pauses and tone, the eyes, pupil dilation or constriction, smiles, body temperature and the like) for better understanding people’s needs and actions, including biometric data gathering and reading. Different studies described in this book indicate that sufficiently much data, information and knowledge can be gained by utilizing biometric technologies. This is the first, wide-ranging book that is devoted completely to the area of intelligent decision support systems, biometrics technologies and their integrations. This book is designated for scholars, practitioners and doctoral and master’s degree students in various areas and those who are interested in the latest biometric and intelligent decision making support problems and means for their resolutions, biometric and intelligent decision making support systems and the theory and practice of their integration and the opportunities fo...

  11. Engineering Technical Support Center (ETSC)

    Science.gov (United States)

    ETSC is EPA’s technical support and resource centers responsible for providing specialized scientific and engineering support to decision-makers in the Agency’s ten regional offices, states, communities, and local businesses.

  12. Intelligent Flight Support System (IFSS): A Real-time Intelligent Decision Support Prototype, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — The integration of the analysis tools with the advanced visualization capabilities in The Intelligent Flight Support System (IFSS) can provide a unique method for...

  13. An intelligent interlock design support system

    International Nuclear Information System (INIS)

    Hayashi, Toshifumi; Kamiyama, Masahiko

    1990-01-01

    This paper presents an intelligent interlock design support system, called Handy. BWR plant interlocks have been designed on a conventional CAD system operating on a mini-computer based time sharing system. However, its ability to support interlock designers is limited, mainly due to the system not being capable of manipulating the interlock logic. Handy improves the design efficiency with consistent manipulation of the logic and drawings, interlock simulation, versatile database management, object oriented user interface, high resolution high speed graphics, and automatic interlock outlining with a design support expert system. Handy is now being tested by designers, and is expected to greatly contribute to their efficiency. (author)

  14. Decision support, analytics, and business intelligence

    CERN Document Server

    Power, Daniel J

    2013-01-01

    Competition is becoming more intense and decision makers are encountering increasing complexity, rapid change, and higher levels of risk. In many situations, the solution is more and better computerized decision support, especially analytics and business intelligence. Today managers need to learn about and understand computerized decision support. If a business is to succeed, managers must know much more about information technology solutions. This second edition of a powerful introductory book is targeted at busy managers and MBA students who need to grasp the basics of computerized decision support, including the following: What are analytics? What is a decision support system? How can managers identify opportunities to create innovative computerized support? Inside, the author addresses these questions and some 60 more fundamental questions that are key to understanding the rapidly changing realm of computerized decision support. In a short period of time, you'll "get up to speed" on decision support, anal...

  15. State and Local Intelligence Fusion Centers: An Evaluative Approach in Modeling a State Fusion Center

    National Research Council Canada - National Science Library

    Forsyth, William A

    2005-01-01

    .... Effective terrorism prevention, however, requires information and intelligence fusion as a cooperative process at all levels of government so that the flow of intelligence can be managed to support...

  16. Operator support system using computational intelligence techniques

    Energy Technology Data Exchange (ETDEWEB)

    Bueno, Elaine Inacio, E-mail: ebueno@ifsp.edu.br [Instituto Federal de Educacao, Ciencia e Tecnologia de Sao Paulo (IFSP), Sao Paulo, SP (Brazil); Pereira, Iraci Martinez, E-mail: martinez@ipen.br [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)

    2015-07-01

    Computational Intelligence Systems have been widely applied in Monitoring and Fault Detection Systems in several processes and in different kinds of applications. These systems use interdependent components ordered in modules. It is a typical behavior of such systems to ensure early detection and diagnosis of faults. Monitoring and Fault Detection Techniques can be divided into two categories: estimative and pattern recognition methods. The estimative methods use a mathematical model, which describes the process behavior. The pattern recognition methods use a database to describe the process. In this work, an operator support system using Computational Intelligence Techniques was developed. This system will show the information obtained by different CI techniques in order to help operators to take decision in real time and guide them in the fault diagnosis before the normal alarm limits are reached. (author)

  17. Operator support system using computational intelligence techniques

    International Nuclear Information System (INIS)

    Bueno, Elaine Inacio; Pereira, Iraci Martinez

    2015-01-01

    Computational Intelligence Systems have been widely applied in Monitoring and Fault Detection Systems in several processes and in different kinds of applications. These systems use interdependent components ordered in modules. It is a typical behavior of such systems to ensure early detection and diagnosis of faults. Monitoring and Fault Detection Techniques can be divided into two categories: estimative and pattern recognition methods. The estimative methods use a mathematical model, which describes the process behavior. The pattern recognition methods use a database to describe the process. In this work, an operator support system using Computational Intelligence Techniques was developed. This system will show the information obtained by different CI techniques in order to help operators to take decision in real time and guide them in the fault diagnosis before the normal alarm limits are reached. (author)

  18. Artificial Intelligence Support for Computational Chemistry

    Science.gov (United States)

    Duch, Wlodzislaw

    Possible forms of artificial intelligence (AI) support for quantum chemistry are discussed. Questions addressed include: what kind of support is desirable, what kind of support is feasible, what can we expect in the coming years. Advantages and disadvantages of current AI techniques are presented and it is argued that at present the memory-based systems are the most effective for large scale applications. Such systems may be used to predict the accuracy of calculations and to select the least expensive methods and basis sets belonging to the same accuracy class. Advantages of the Feature Space Mapping as an improvement on the memory based systems are outlined and some results obtained in classification problems given. Relevance of such classification systems to computational chemistry is illustrated with two examples showing similarity of results obtained by different methods that take electron correlation into account.

  19. Strategies for the Integration of Medical and Health Representation within Law Enforcement Intelligence Fusion Centers

    National Research Council Canada - National Science Library

    Morrissey, James F

    2007-01-01

    Terrorism-related intelligence gathering, analysis and information dissemination would be improved and enhanced by including a medical and health element in law enforcement intelligence fusion centers...

  20. Intelligence system for reactor operator informational support

    International Nuclear Information System (INIS)

    Prangishvili, I.V.; Pashchenko, F.F.; Saprykin, E.M.

    1989-01-01

    Problems related to creation and introduction at NPP of highly efficient and reliable systems for monitoring and control of working processes and intelligence-endowed systems of operator informational support (ISOIS) are considered. The main units included in ISOIS are considered. The main units included in ISOIS are described. The unit of current state monitoring provides information for the operator, which is necessary under concrete conditions for the process monitoring and control, so as to avoid emergencies and affers a program of actions in a dialogue mode for the operator. The identification unit is designed for the obtaining of assessed values of process parameters (neutron fields, temperatures, pressures) and basic equipment (reactivity coefficients, fuel rod weights, time of delay). The prediction unit evaluates the behaviour of process parameters and process state in various situations. 9 refs

  1. INTELLIGENT SUPPORT OF EDUCATIONAL PROCESSES AT LEVEL OF SPECIALITY

    Directory of Open Access Journals (Sweden)

    Irina I. Kazmina

    2013-01-01

    Full Text Available The article is devoted to intelligent support of educational processes at level of speciality with the help of information system. In this paper intelligent information system of Modern Humanitarian Academy is considered and three directions of development of intelligent support within the scope of developed information system are offered. These directions include: development of model of student, data mining of quality of teaching and prediction of quality of teaching in the future. 

  2. Building an Information Resource Center for Competitive Intelligence.

    Science.gov (United States)

    Martin, J. Sperling

    1992-01-01

    Outlines considerations in the design of a Competitive Intelligence Information Resource Center (CIIRC), which is needed by business organizations for effective strategic decision making. Discussed are user needs, user participation, information sources, technology and interface design, operational characteristics, and planning for implementation.…

  3. Air Risk Information Support Center

    Energy Technology Data Exchange (ETDEWEB)

    Shoaf, C.R.; Guth, D.J. [Environmental Protection Agency, Washington, DC (United States)

    1990-12-31

    The Air Risk Information Support Center (Air RISC) was initiated in early 1988 by the US Environmental Protection Agency`s (EPA) Office of Health and Environmental Assessment (OHEA) and the Office of Air Quality Planning and Standards (OAQPS) as a technology transfer effort that would focus on providing information to state and local environmental agencies and to EPA Regional Offices in the areas of health, risk, and exposure assessment for toxic air pollutants. Technical information is fostered and disseminated by Air RISCs three primary activities: (1) a {open_quotes}hotline{close_quotes}, (2) quick turn-around technical assistance projects, and (3) general technical guidance projects. 1 ref., 2 figs.

  4. ICT-Supported Gaming for Competitive Intelligence

    NARCIS (Netherlands)

    Achterbergh, J.M.I.M.; Khosrow-Pour, M.

    2005-01-01

    Collecting and processing competitive intelligence for the purpose of strategy formulation are complex activities requiring deep insight in and models of the “organization in its environment.” These insights and models need to be not only shared between CI (competitive intelligence) practitioners

  5. MOIDSS?- Mobile Online Intelligent Decision Support System, Phase II

    Data.gov (United States)

    National Aeronautics and Space Administration — GRID has had a successfully completed Phase I 'Mobile Online Intelligent Decision Support System' (MOIDSS). The system developed into a total solution that supports...

  6. Supporting tactical intelligence using collaborative environments and social networking

    Science.gov (United States)

    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.

  7. A framework for intelligent reliability centered maintenance analysis

    International Nuclear Information System (INIS)

    Cheng Zhonghua; Jia Xisheng; Gao Ping; Wu Su; Wang Jianzhao

    2008-01-01

    To improve the efficiency of reliability-centered maintenance (RCM) analysis, case-based reasoning (CBR), as a kind of artificial intelligence (AI) technology, was successfully introduced into RCM analysis process, and a framework for intelligent RCM analysis (IRCMA) was studied. The idea for IRCMA is based on the fact that the historical records of RCM analysis on similar items can be referenced and used for the current RCM analysis of a new item. Because many common or similar items may exist in the analyzed equipment, the repeated tasks of RCM analysis can be considerably simplified or avoided by revising the similar cases in conducting RCM analysis. Based on the previous theory studies, an intelligent RCM analysis system (IRCMAS) prototype was developed. This research has focused on the description of the definition, basic principles as well as a framework of IRCMA, and discussion of critical techniques in the IRCMA. Finally, IRCMAS prototype is presented based on a case study

  8. 75 FR 49946 - National Drug Intelligence Center: Agency Information Collection Activities: Proposed Extension...

    Science.gov (United States)

    2010-08-16

    ... DEPARTMENT OF JUSTICE [OMB Number 1105-0087] National Drug Intelligence Center: Agency Information...), National Drug Intelligence Center (NDIC), will be submitting the following information collection request... Kevin M. Walker, General Counsel, National Drug Intelligence Center, Fifth Floor, 319 Washington Street...

  9. Future applications of artificial intelligence to Mission Control Centers

    Science.gov (United States)

    Friedland, Peter

    1991-01-01

    Future applications of artificial intelligence to Mission Control Centers are presented in the form of the viewgraphs. The following subject areas are covered: basic objectives of the NASA-wide AI program; inhouse research program; constraint-based scheduling; learning and performance improvement for scheduling; GEMPLAN multi-agent planner; planning, scheduling, and control; Bayesian learning; efficient learning algorithms; ICARUS (an integrated architecture for learning); design knowledge acquisition and retention; computer-integrated documentation; and some speculation on future applications.

  10. Intelligent Compaction and Infrared Scanning Field Projects with Consulting Support

    Science.gov (United States)

    2018-02-01

    The Missouri Department of Transportation (MoDOT) was awarded a grant from the FHWA Accelerated Innovation Deployment (AID) program, in 2016. MoDOT provided the required matching funds to support this Intelligent Compaction (IC) and Infrared Scanning...

  11. AHMCT Intelligent Roadway Information System (IRIS) technical support and testing

    Science.gov (United States)

    2011-12-31

    This report documents the research project AHMCT IRIS Technical Support and Testing, : performed under contract 65A0275, Task ID 1777. It presents an overview of the Intelligent : Roadway Information System (IRIS), and its design and function. ...

  12. Why national IQs do not support evolutionary theories of intelligence

    NARCIS (Netherlands)

    Wicherts, J.M.; Borsboom, D.; Dolan, C.V.

    2010-01-01

    Kanazawa (2008), Templer (2008), and Templer and Arikawa (2006) claimed to have found empirical support for evolutionary theories of race differences in intelligence by correlating estimates of national IQ with indicators of reproductive strategies, temperature, and geographic distance from Africa.

  13. Handling risk attitudes for preference learning and intelligent decision support

    DEFF Research Database (Denmark)

    Franco de los Ríos, Camilo; Hougaard, Jens Leth; Nielsen, Kurt

    2015-01-01

    Intelligent decision support should allow integrating human knowledge with efficient algorithms for making interpretable and useful recommendations on real world decision problems. Attitudes and preferences articulate and come together under a decision process that should be explicitly modeled...

  14. Beyond fluid intelligence and personality traits in social support: the role of ability based emotional intelligence.

    Science.gov (United States)

    Fabio, Annamaria Di

    2015-01-01

    Social support represents an important individual resource that has been associated with multiple indices of adaptive functioning and resiliency. Existing research has also identified an association between emotional intelligence (EI) and social support. The present study builds on prior research by investigating the contributions of ability based EI to social support, beyond the effects of fluid intelligence and personality traits. The Advanced Progressive Matrices, the Big Five Questionnaire, the Mayer Salovey Caruso EI test (MSCEIT), and the Multidimensional Scale of Perceived Social Support were administered to 149 Italian high school students. The results showed that ability based EI added significant incremental variance in explaining perceived social support, beyond the variance due to fluid intelligence and personality traits. The results underline the role of ability based EI in relation to perceived social support. Since ability based EI can be increased through specific training, the results of the present study highlight new possibilities for research and intervention in a preventive framework.

  15. PROPOSTA PARA IMPLANTAÇÃO DE BUSINESS INTELLIGENCE EM SHOPPING CENTER

    Directory of Open Access Journals (Sweden)

    Oswaldo Moreira Pereira

    2016-06-01

    Full Text Available The aim of the present job was to study the concepts involved in the business intelligence process to propose a solution that supports strategic decision with focus on shopping centers use. The BI technology proposed make use of SQL Server database and its tools that allows the multidimensional modeling, the transformation of data into strategic knowledge and the presentation of the results by the analytical processing information.

  16. Intelligent decision technology support in practice

    CERN Document Server

    Neves-Silva, Rui; Jain, Lakhmi; Phillips-Wren, Gloria; Watada, Junzo; Howlett, Robert

    2016-01-01

    This book contains a collection of innovative chapters emanating from topics raised during the 5th KES International Conference on Intelligent Decision Technologies (IDT), held during 2013 at Sesimbra, Portugal. The authors were invited to expand their original papers into a plethora of innovative chapters espousing IDT methodologies and applications. This book documents leading-edge contributions, representing advances in Knowledge-Based and Intelligent Information and Engineering System. It acknowledges that researchers recognize that society is familiar with modern Advanced Information Processing and increasingly expect richer IDT systems. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications.  Anyone that wants to work with IDT or simply process knowledge should consider reading one or more chapters and focus on their technique of choice. Most readers will benefit from reading additional chapters to access alternative techniq...

  17. Secure data exchange between intelligent devices and computing centers

    Science.gov (United States)

    Naqvi, Syed; Riguidel, Michel

    2005-03-01

    The advent of reliable spontaneous networking technologies (commonly known as wireless ad-hoc networks) has ostensibly raised stakes for the conception of computing intensive environments using intelligent devices as their interface with the external world. These smart devices are used as data gateways for the computing units. These devices are employed in highly volatile environments where the secure exchange of data between these devices and their computing centers is of paramount importance. Moreover, their mission critical applications require dependable measures against the attacks like denial of service (DoS), eavesdropping, masquerading, etc. In this paper, we propose a mechanism to assure reliable data exchange between an intelligent environment composed of smart devices and distributed computing units collectively called 'computational grid'. The notion of infosphere is used to define a digital space made up of a persistent and a volatile asset in an often indefinite geographical space. We study different infospheres and present general evolutions and issues in the security of such technology-rich and intelligent environments. It is beyond any doubt that these environments will likely face a proliferation of users, applications, networked devices, and their interactions on a scale never experienced before. It would be better to build in the ability to uniformly deal with these systems. As a solution, we propose a concept of virtualization of security services. We try to solve the difficult problems of implementation and maintenance of trust on the one hand, and those of security management in heterogeneous infrastructure on the other hand.

  18. Intelligent decision support system for operators of the supply ...

    African Journals Online (AJOL)

    Intelligent decision support system for operators of the supply department of oil and gas extracting industry. ... PROMOTING ACCESS TO AFRICAN RESEARCH ... abnormal situations, pre-crash sensing, industrial drilling, decision-making support systems. Full Text: EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT

  19. Event Sequence Analysis of the Air Intelligence Agency Information Operations Center Flight Operations

    National Research Council Canada - National Science Library

    Larsen, Glen

    1998-01-01

    This report applies Event Sequence Analysis, methodology adapted from aircraft mishap investigation, to an investigation of the performance of the Air Intelligence Agency's Information Operations Center (IOC...

  20. Intelligent Information System to support decision making.

    Directory of Open Access Journals (Sweden)

    Kathrin Rodríguez Llanes

    2010-06-01

    Full Text Available Making decisions is complicated in a generalized way, the materials and humans resources of the entity we belong to depends on it, such as the fulfillment of its goals. But when the situations are complex, making decisions turns into a very difficult work, due to the great amount of aspects to consider when making the right choice. To make this efficiently the administration must to consult an important volume of information, which generally, is scattered and in any different formats. That’s why appears the need of developing software that crowd together all that information and be capable of, by using powerful search engines and process algorithms improve the good decisions making process. Considering previous explanation, a complete freeware developed product is proposed, this constitutes a generic and multi-platform solution, that using artificial intelligence techniques, specifically the cases based reasoning, gives the possibility to leaders of any institution or organism of making the right choice in any situation.With client-server architecture, this system is consumed from web as a service and it can be perfectly integrated with a management system or the geographic information system to facilitate the business process.

  1. Research to Support Intelligent Data Management

    Science.gov (United States)

    Lerner, Bao-Ting

    1998-01-01

    This final report details the contract performance and analysis of research and development results obtained during the contract period. KT-TECH's research and development work results in the areas of registration of remotely sensed data and the test evaluation and porting of the Regional Validation Center software system, are presented.

  2. Advanced intelligent computational technologies and decision support systems

    CERN Document Server

    Kountchev, Roumen

    2014-01-01

    This book offers a state of the art collection covering themes related to Advanced Intelligent Computational Technologies and Decision Support Systems which can be applied to fields like healthcare assisting the humans in solving problems. The book brings forward a wealth of ideas, algorithms and case studies in themes like: intelligent predictive diagnosis; intelligent analyzing of medical images; new format for coding of single and sequences of medical images; Medical Decision Support Systems; diagnosis of Down’s syndrome; computational perspectives for electronic fetal monitoring; efficient compression of CT Images; adaptive interpolation and halftoning for medical images; applications of artificial neural networks for real-life problems solving; present and perspectives for Electronic Healthcare Record Systems; adaptive approaches for noise reduction in sequences of CT images etc.

  3. Computational intelligence for decision support in cyber-physical systems

    CERN Document Server

    Ali, A; Riaz, Zahid

    2014-01-01

    This book is dedicated to applied computational intelligence and soft computing techniques with special reference to decision support in Cyber Physical Systems (CPS), where the physical as well as the communication segment of the networked entities interact with each other. The joint dynamics of such systems result in a complex combination of computers, software, networks and physical processes all combined to establish a process flow at system level. This volume provides the audience with an in-depth vision about how to ensure dependability, safety, security and efficiency in real time by making use of computational intelligence in various CPS applications ranging from the nano-world to large scale wide area systems of systems. Key application areas include healthcare, transportation, energy, process control and robotics where intelligent decision support has key significance in establishing dynamic, ever-changing and high confidence future technologies. A recommended text for graduate students and researche...

  4. Supporting Social Interaction in Intelligent Competence Development Systems

    NARCIS (Netherlands)

    Sereno, Bertrand; Boursinou, Eleni; Maxwell, Katrina; Angehrn, Albert

    2007-01-01

    Sereno, B., Boursinou, E., Maxwell, K., & Angehrn, A. A. (2007). Supporting Social Interaction in Intelligent Competence Development Systems. In D. Griffiths, R. Koper & O. Liber (Eds.), Proceedings of the 2nd TENCompetence Open Workshop (pp. 29-35). January, 11-12, 2007, Manchester, United Kingdom.

  5. Intelligent tactical asset allocation support system

    NARCIS (Netherlands)

    Hiemstra, Y.

    1995-01-01

    This paper presents an advanced support system for Tactical Asset Allocation. Asset allocation explains over 90% of portfolio performance (Brinson, Hood and Beebower, 1988). Tactical asset allocation adjusts a strategic portfolio on the basis of short term market outlooks. The system includes

  6. Intelligent fault recognition strategy based on adaptive optimized multiple centers

    Science.gov (United States)

    Zheng, Bo; Li, Yan-Feng; Huang, Hong-Zhong

    2018-06-01

    For the recognition principle based optimized single center, one important issue is that the data with nonlinear separatrix cannot be recognized accurately. In order to solve this problem, a novel recognition strategy based on adaptive optimized multiple centers is proposed in this paper. This strategy recognizes the data sets with nonlinear separatrix by the multiple centers. Meanwhile, the priority levels are introduced into the multi-objective optimization, including recognition accuracy, the quantity of optimized centers, and distance relationship. According to the characteristics of various data, the priority levels are adjusted to ensure the quantity of optimized centers adaptively and to keep the original accuracy. The proposed method is compared with other methods, including support vector machine (SVM), neural network, and Bayesian classifier. The results demonstrate that the proposed strategy has the same or even better recognition ability on different distribution characteristics of data.

  7. Issues regarding the design and acceptance of intelligent support systems for reactor operators

    International Nuclear Information System (INIS)

    Bernard, J.A.

    1992-01-01

    In this paper, factors relevant to the design and acceptance of intelligent support systems for the operation of nuclear power plants are enumerated and discussed. The central premise is that conventional expert systems which encode experiential knowledge in production rules are not a suitable vehicle for the creation of practical operator support systems. The principal difficulty is the need for real-time operation. This in turn means that intelligent support systems will have knowledge bases derived from temporally accurate plant models, inference engines that permit revisions in the search process so as to accommodate revised or new data, and man-machine interfaces that do not require any human input. Such systems will have to be heavily instrumented and the associated knowledge bases will require a hierarchical organization so as to emulate human approaches to analysis. Issues related to operator acceptance of intelligent support tools are then reviewed. Possible applications are described and the relative merits of the machine- and human-centered approaches to the implementation of intelligent support systems are enumerated. The paper concludes with a plea for additional experimental evaluations

  8. Intelligent decision support systems for sustainable computing paradigms and applications

    CERN Document Server

    Abraham, Ajith; Siarry, Patrick; Sheng, Michael

    2017-01-01

    This unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application perspective. Sustainable computing has expanded to become a significant research area covering the fields of computer science and engineering, electrical engineering and other engineering disciplines, and there has been an increase in the amount of literature on aspects sustainable computing such as energy efficiency and natural resources conservation that emphasizes the role of ICT (information and communications technology) in achieving system design and operation objectives. The energy impact/design of more efficient IT infrastructures is a key challenge in realizing new computing paradigms. The book explores the uses of computational intelligence (CI) techniques for intelligent decision support that can be explo...

  9. Intelligent tactical asset allocation support system

    OpenAIRE

    Hiemstra, Y.

    1995-01-01

    This paper presents an advanced support system for Tactical Asset Allocation. Asset allocation explains over 90% of portfolio performance (Brinson, Hood and Beebower, 1988). Tactical asset allocation adjusts a strategic portfolio on the basis of short term market outlooks. The system includes aprediction model that forecasts quarterly excess returns on the S and PSOO, an optimization model that adjusts a user-specified strategic portfolio on thebasis of the excess return forecast, and a compo...

  10. Intelligent systems supporting the control room operators

    International Nuclear Information System (INIS)

    Berger, E.

    1997-01-01

    The operational experience obtained with the various applications of the systems discussed in this paper shows that more consequent use of the systems will make detection and management of disturbances still more efficient and faster. This holds true both for a low level of process automation and for power plants with a high level of automation. As for conventional power plants, the trend clearly is towards higher degrees of automation and consequent application of supporting systems. Thus, higher availability and rapid failure management are achieved, at low effects on normal operation. These systems are monitoring and process control systems, expert systems, and systems for optimal use of the equipment, or systems for post-incident analyses and computer-assisted on-shift protocols, or operating manuals. (orig./CB) [de

  11. The design of intelligent support systems for nuclear reactor operators

    International Nuclear Information System (INIS)

    Bernard, J.A.

    1992-01-01

    This paper identifies factors relevant to the design of intelligent support systems and their use for the provision of real-time diagnostic information. As such, it constitutes a followup to the state-of-the-art review that was previously published by Bernard and Washio on the utilization of expert systems within the nuclear industry. Some major differences between intelligent-support tools and conventional expert systems are enumerated. In summary, conventional expert systems that encode experimental knowledge in production rules are not suitable vehicle for the creation of operator support systems. The principal difficulty is the need for real-time operation. This in turn means that intelligent support systems will have knowledge bases derived from temporally accurate plant models, inference engines that permit revisions in the search process to accommodate revised data, and man-machine interfaces that do not require any human input. Such systems will be heavily instrumented, and the associated knowledge bases will require a hierarchical organization to emulate human approaches to analysis

  12. Intelligent Decision Support System for Bank Loans Risk Classification

    Institute of Scientific and Technical Information of China (English)

    杨保安; 马云飞; 俞莲

    2001-01-01

    Intelligent Decision Support System (IISS) for Bank Loans Risk Classification (BLRC), based on the way of integration Artificial Neural Network (ANN) and Expert System (ES), is proposed. According to the feature of BLRC, the key financial and non-financial factors are analyzed. Meanwhile, ES and Model Base (MB) which contain ANN are designed . The general framework,interaction and integration of the system are given. In addition, how the system realizes BLRC is elucidated in detail.

  13. Development of the Distinct Multiple Intelligences in Primary Students through Interest Centers

    Science.gov (United States)

    Dueñas Macías, Fredy Alonso

    2013-01-01

    This article reports on an action research study that focused on developing the distinct multiple intelligences of an English class of fifth graders through interest centers at a Colombian school. A multiple intelligences questionnaire, an open-ended observation form, and a student mini-report sheet were used to collect data. Findings revealed…

  14. Emotional intelligence model for directors of research centers in mexico

    Directory of Open Access Journals (Sweden)

    Mara Maricela Trujillo Flores

    2008-01-01

    H5 Social skills exhibited by directors, that are also part of interpersonal intelligence, allow a director to exert a greater influence on the working group, facilitating communication, conflict management, leadership, collaboration, cooperation and development of team skills.

  15. A MURI Center for Intelligent Biomimetic Image Processing and Classification

    Science.gov (United States)

    2007-11-01

    times, labeled "plage" or "open space" or "natural", the system learns to associate multiple classes with a given input. Testbed image examples have shown...brain color perception and category learning. Commentary on "Coordinating perceptually grounded categories through language " by Luc Steels and Tony...Symposium on Computational Intelligence (ISCI), Kosice, Slovakia, June 2002. 9. Carpenter, G.A., Award from the Slovak Artificial Intelligence Society, 2002

  16. Artificial intelligence program in a computer application supporting reactor operations

    International Nuclear Information System (INIS)

    Stratton, R.C.; Town, G.G.

    1985-01-01

    Improving nuclear reactor power plant operability is an ever-present concern for the nuclear industry. The definition of plant operability involves a complex interaction of the ideas of reliability, safety, and efficiency. This paper presents observations concerning the issues involved and the benefits derived from the implementation of a computer application which combines traditional computer applications with artificial intelligence (AI) methodologies. A system, the Component Configuration Control System (CCCS), is being installed to support nuclear reactor operations at the Experimental Breeder Reactor II

  17. Knowledge-based dialogue in Intelligent Decision Support Systems

    International Nuclear Information System (INIS)

    Hollnagel, E.

    1987-01-01

    The overall goal for the design of Intelligent Decision Support Systems (IDSS) is to enhance understanding of the process under all operating conditions. For an IDSS to be effective, it must: select or generate the right information; produce reliable and consistent information; allow flexible and effective operator interaction; relate information presentation to current plant status and problems; and make the presentation at the right time. Several ongoing R and D programs try to design and build IDSSs. A particular example is the ESPRIT project Graphics and Knowledge Based Diaglogue for Dynamic Systems (GRADIENT). This project, the problems it addresses, and its uses, are discussed here

  18. Engineering Technical Support Center Annual Report Fiscal ...

    Science.gov (United States)

    The United States Environmental Protection Agency (EPA or Agency) Office of Research and Development (ORD) created the Engineering Technical Support Center (ETSC) in 1987, one of several technical support centers created as part of the Technical Support Project (TSP). ETSC provides engineering expertise to Agency program and regional offices and remediation teams working at contaminated sites across the country. The ETSC is operated within ORD’s Land Remediation and Pollution Control Division (LRPCD) of the National Risk Management Research Laboratory (NRMRL) in Cincinnati, Ohio. The ETSC’s mission is to provide site-specific scientific and engineering technical support to Remedial Project Managers, On-Scene Coordinators, and other remediation personnel at contaminated sites. This allows local, regional, or national authorities to work more quickly, efficiently, and cost effectively, while also increasing the technical experience of the remediation team. Since its inception, the ETSC has supported countless projects across all EPA Regions in almost all states and territories. This report highlights significant projects the ETSC supported in fiscal year 2015 (FY15). These projects addressed an array of environmental scenarios, such as remote mining contamination, expansive landfill waste, cumulative impacts from multiple contamination sources, and persistent threats from abandoned industrial sites. Constructing and testing new and innovative treatment technol

  19. Towards An Intelligent Model-Based Decision Support System For An Integrated Oil Company (EGPC)

    International Nuclear Information System (INIS)

    Khorshid, M.; Hassan, H.; Abdel Latife, M.A.

    2004-01-01

    Decision Support System (DSS) is an interactive, flexible and adaptable computer-based support system specially developed for supporting the solution of unstructured management problems [31] DSS has become widespread for oil industry domain in recent years. The computer-based DSS, which were developed and implemented in oil industry, are used to address the complex short-term planning and operational issues associated with downstream industry. Most of these applications concentrate on the data-centered tools, while the model-centered applications of DSS are still very limited up till now [20]. This study develops an Intelligent Model-Based DSS for an integrated oil company, to help policy makers and petroleum planner in improving the effectiveness of the strategic planning in oil sector. This domain basically imposes semi-structured or unstructured decisions and involves a very complex modeling process

  20. Acoustic richness modulates the neural networks supporting intelligible speech processing.

    Science.gov (United States)

    Lee, Yune-Sang; Min, Nam Eun; Wingfield, Arthur; Grossman, Murray; Peelle, Jonathan E

    2016-03-01

    The information contained in a sensory signal plays a critical role in determining what neural processes are engaged. Here we used interleaved silent steady-state (ISSS) functional magnetic resonance imaging (fMRI) to explore how human listeners cope with different degrees of acoustic richness during auditory sentence comprehension. Twenty-six healthy young adults underwent scanning while hearing sentences that varied in acoustic richness (high vs. low spectral detail) and syntactic complexity (subject-relative vs. object-relative center-embedded clause structures). We manipulated acoustic richness by presenting the stimuli as unprocessed full-spectrum speech, or noise-vocoded with 24 channels. Importantly, although the vocoded sentences were spectrally impoverished, all sentences were highly intelligible. These manipulations allowed us to test how intelligible speech processing was affected by orthogonal linguistic and acoustic demands. Acoustically rich speech showed stronger activation than acoustically less-detailed speech in a bilateral temporoparietal network with more pronounced activity in the right hemisphere. By contrast, listening to sentences with greater syntactic complexity resulted in increased activation of a left-lateralized network including left posterior lateral temporal cortex, left inferior frontal gyrus, and left dorsolateral prefrontal cortex. Significant interactions between acoustic richness and syntactic complexity occurred in left supramarginal gyrus, right superior temporal gyrus, and right inferior frontal gyrus, indicating that the regions recruited for syntactic challenge differed as a function of acoustic properties of the speech. Our findings suggest that the neural systems involved in speech perception are finely tuned to the type of information available, and that reducing the richness of the acoustic signal dramatically alters the brain's response to spoken language, even when intelligibility is high. Copyright © 2015 Elsevier

  1. Defending the Homeland: The Case for Integrating National Guard Intelligence Personnel into the State Fusion Centers

    Science.gov (United States)

    2011-02-15

    already robust lineup of 57 National Guard Combat Support Teams (CSTs) and 17 CBRNE Enhanced Response Force Packages (CERFPs) to increase the existing...analysis of disparate data sources, identification of intelligence gaps, and proactive collection of intelligence against those gaps which could

  2. Artificial intelligence and the space station software support environment

    Science.gov (United States)

    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.

  3. The Challenge of Wireless Connectivity to Support Intelligent Mines

    DEFF Research Database (Denmark)

    Barbosa, Viviane S. B.; Garcia, Luis G. U.; Caldwell, George

    2016-01-01

    The need for continuous safety improvements and increased operational efficiency is driving the mining industry through a transition towards large-scale automation of operations, i.e., “intelligent mines”. The technology promises to remove human operators from harsh or dangerous conditions...... for unmanned mine operations. Although voice and narrowband data radios have been used for years to support several types of mining activities, such as fleet management (dispatch) and telemetry, the use of automated equipment introduces a new set of connectivity requirements and poses a set of challenges...... in terms of network planning, management and optimization. For example, the data rates required to support unmanned equipment, e.g. a teleoperated bulldozer, shift from a few kilobits/second to megabits/second due to live video feeds. This traffic volume is well beyond the capabilities of Professional...

  4. The Effectiveness of Yoga on Spiritual Intelligence in Air Traffic Controllers of Tehran Flight Control Center

    Science.gov (United States)

    Safara, Maryam; Ghasemi, Pejman

    2017-01-01

    The aim of this study was to evaluate the efficacy of yoga on spiritual intelligence in air traffic controllers in Tehran flight control center. This was a quasi-experimental research and the study population includes all air traffic controllers in Tehran flight control center. The sample consisted of 40 people of the study population that were…

  5. Decision support tools to support the operations of traffic management centers (TMC)

    Science.gov (United States)

    2011-01-31

    The goal of this project is to develop decision support tools to support traffic management operations based on collected intelligent transportation system (ITS) data. The project developments are in accordance with the needs of traffic management ce...

  6. Implementation of Multiple Intelligences Supported Project-Based Learning in EFL/ESL Classrooms

    Science.gov (United States)

    Bas, Gokhan

    2008-01-01

    This article deals with the implementation of Multiple Intelligences supported Project-Based learning in EFL/ESL Classrooms. In this study, after Multiple Intelligences supported Project-based learning was presented shortly, the implementation of this learning method into English classrooms. Implementation process of MI supported Project-based…

  7. Intelligent Quality Prediction Using Weighted Least Square Support Vector Regression

    Science.gov (United States)

    Yu, Yaojun

    A novel quality prediction method with mobile time window is proposed for small-batch producing process based on weighted least squares support vector regression (LS-SVR). The design steps and learning algorithm are also addressed. In the method, weighted LS-SVR is taken as the intelligent kernel, with which the small-batch learning is solved well and the nearer sample is set a larger weight, while the farther is set the smaller weight in the history data. A typical machining process of cutting bearing outer race is carried out and the real measured data are used to contrast experiment. The experimental results demonstrate that the prediction accuracy of the weighted LS-SVR based model is only 20%-30% that of the standard LS-SVR based one in the same condition. It provides a better candidate for quality prediction of small-batch producing process.

  8. Online Services Management Support for an Intelligent Locality

    Directory of Open Access Journals (Sweden)

    Lorena BĂTĂGAN

    2011-07-01

    Full Text Available As the number of habitants of large cities is expanding, put greater pressure on city infrastructure delivering vital services, such as health, education, public safety and transport. These efforts are added to changing public demands for better information, better education, environmental programs, a more open government, lower maintenance costs and other housing options for older people. Therefore, to achieve these goals, it must take into account the quality of all services, but especially the quality of online services based on the use of modern information and communication technologies.The management of service quality on-line offers a performance evaluation and comparative analysis of indicators. He also works as a decision support to improve the quality of online services and increasing customer satisfaction, essential elements in an intelligent city.

  9. A Cybernetic Design Methodology for 'Intelligent' Online Learning Support

    Science.gov (United States)

    Quinton, Stephen R.

    The World Wide Web (WWW) provides learners and knowledge workers convenient access to vast stores of information, so much that present methods for refinement of a query or search result are inadequate - there is far too much potentially useful material. The problem often encountered is that users usually do not recognise what may be useful until they have progressed some way through the discovery, learning, and knowledge acquisition process. Additional support is needed to structure and identify potentially relevant information, and to provide constructive feedback. In short, support for learning is needed. The learning envisioned here is not simply the capacity to recall facts or to recognise objects. The focus is on learning that results in the construction of knowledge. Although most online learning platforms are efficient at delivering information, most do not provide tools that support learning as envisaged in this chapter. It is conceivable that Web-based learning environments can incorporate software systems that assist learners to form new associations between concepts and synthesise information to create new knowledge. This chapter details the rationale and theory behind a research study that aims to evolve Web-based learning environments into 'intelligent thinking' systems that respond to natural language human input. Rather than functioning simply as a means of delivering information, it is argued that online learning solutions will 1 day interact directly with students to support their conceptual thinking and cognitive development.

  10. Crowdteaching: Supporting Teaching as Designing in Collective Intelligence Communities

    Directory of Open Access Journals (Sweden)

    Mimi Recker

    2014-09-01

    Full Text Available The widespread availability of high-quality Web-based content offers new potential for supporting teachers as designers of curricula and classroom activities. When coupled with a participatory Web culture and infrastructure, teachers can share their creations as well as leverage from the best that their peers have to offer to support a collective intelligence or crowdsourcing community, which we dub crowdteaching. We applied a collective intelligence framework to characterize crowdteaching in the context of a Web-based tool for teachers called the Instructional Architect (IA. The IA enables teachers to find, create, and share instructional activities (called IA projects for their students using online learning resources. These IA projects can further be viewed, copied, or adapted by other IA users. This study examines the usage activities of two samples of teachers, and also analyzes the characteristics of a subset of their IA projects. Analyses of teacher activities suggest that they are engaging in crowdteaching processes. Teachers, on average, chose to share over half of their IA projects, and copied some directly from other IA projects. Thus, these teachers can be seen as both contributors to and consumers of crowdteaching processes. In addition, IA users preferred to view IA projects rather than to completely copy them. Finally, correlational results based on an analysis of the characteristics of IA projects suggest that several easily computed metrics (number of views, number of copies, and number of words in IA projects can act as an indirect proxy of instructionally relevant indicators of the content of IA projects.

  11. Intelligent adaptive systems an interaction-centered design perspective

    CERN Document Server

    Hou, Ming; Burns, Catherine

    2014-01-01

    A synthesis of recent research and developments on intelligent adaptive systems from the HF (human factors) and HCI (human-computer interaction) domains, this book provides integrated design guidance and recommendations for researchers and system developers. It addresses a recognized lack of integration between the HF and HCI research communities, which has led to inconsistencies between the research approaches adopted, and a lack of exploitation of research from one field by the other. The book establishes design guidance through the review of conceptual frameworks, analytical methodologies,

  12. Intelligent Processing Equipment Developments Within the Navy's Manufacturing Technology Centers of Excellence

    Science.gov (United States)

    Nanzetta, Philip

    1992-01-01

    The U.S. Navy has had an active Manufacturing Technology (MANTECH) Program aimed at developing advanced production processes and equipment since the late-1960's. During the past decade, however, the resources of the MANTECH program were concentrated in Centers of Excellence. Today, the Navy sponsors four manufacturing technology Centers of Excellence: the Automated Manufacturing Research Facility (AMRF); the Electronics Manufacturing Productivity Facility (EMPF); the National Center for Excellence in Metalworking Technology (NCEMT); and the Center of Excellence for Composites Manufacturing Technology (CECMT). This paper briefly describes each of the centers and summarizes typical Intelligent Equipment Processing (IEP) projects that were undertaken.

  13. Intelligent Support for a Computer Aided Design Optimisation Cycle

    OpenAIRE

    B. Dolšak; M. Novak; J. Kaljun

    2006-01-01

    It is becoming more and more evident that  adding intelligence  to existing computer aids, such as computer aided design systems, can lead to significant improvements in the effective and reliable performance of various engineering tasks, including design optimisation. This paper presents three different intelligent modules to be applied within a computer aided design optimisation cycle to enable more intelligent and less experience-dependent design performance. 

  14. Ad hoc networking and ambient intelligence to support future disaster response

    NARCIS (Netherlands)

    Jones, Valerie M.; Karagiannis, Georgios; Heemstra de Groot, S.M.

    2005-01-01

    We present a vision of how ambient intelligent environments may be used in future to support the emergency services during first response to a major incident. A futuristic scenario is presented where, for each of the emergency services, Ambient Intelligence (AmI) technologies are used to support

  15. Ad hoc networking and ambient intelligence to support future disaster response

    NARCIS (Netherlands)

    Jones, Valerie M.; Karagiannis, Georgios; Heemstra de Groot, S.M.; Afifi, H.; Zeghlache, D.

    We present a vision of how ambient intelligent environments may be used in future to support the emergency services during first response to a major incident. A futuristic scenario is presented where, for each of the emergency services, Ambient Intelligence (AmI) technologies are used to support

  16. Toolchain for User-Centered Intelligent Floor Heating Control

    DEFF Research Database (Denmark)

    Agesen, Mads Kronborg; Larsen, Kim Guldstrand; Mikučionis, Marius

    2016-01-01

    temperature is below the user defined target temperature, otherwise it closes for the heating in the room. The disadvantage is that the heat exchange among the rooms, outside weather conditions, weather forecast and other factors are not considered. We propose a novel model-driven approach for intelligent...... floor heating control based on a chain of tools that allow us to gather the sensor readings from the actual hardware and use the state-of-the-art controller synthesis tool UPPAAL Stratego in order to synthesise abstract control strategies that are then executed on the real hardware platform provided...... by the company Seluxit. We have built a scaled demonstrator of the system and the experimental results document a 38% to 52 % increase in user satisfaction, moreover with additional energy savings between 2% to 12%....

  17. A Modular Artificial Intelligence Inference Engine System (MAIS) for support of on orbit experiments

    Science.gov (United States)

    Hancock, Thomas M., III

    1994-01-01

    This paper describes a Modular Artificial Intelligence Inference Engine System (MAIS) support tool that would provide health and status monitoring, cognitive replanning, analysis and support of on-orbit Space Station, Spacelab experiments and systems.

  18. Big Data Analytics and Machine Intelligence Capability Development at NASA Langley Research Center: Strategy, Roadmap, and Progress

    Science.gov (United States)

    Ambur, Manjula Y.; Yagle, Jeremy J.; Reith, William; McLarney, Edward

    2016-01-01

    In 2014, a team of researchers, engineers and information technology specialists at NASA Langley Research Center developed a Big Data Analytics and Machine Intelligence Strategy and Roadmap as part of Langley's Comprehensive Digital Transformation Initiative, with the goal of identifying the goals, objectives, initiatives, and recommendations need to develop near-, mid- and long-term capabilities for data analytics and machine intelligence in aerospace domains. Since that time, significant progress has been made in developing pilots and projects in several research, engineering, and scientific domains by following the original strategy of collaboration between mission support organizations, mission organizations, and external partners from universities and industry. This report summarizes the work to date in Data Intensive Scientific Discovery, Deep Content Analytics, and Deep Q&A projects, as well as the progress made in collaboration, outreach, and education. Recommendations for continuing this success into future phases of the initiative are also made.

  19. Based on Intelligent Robot of E-business Distribution Center Operation Mode Research

    Directory of Open Access Journals (Sweden)

    Li Juntao

    2016-01-01

    Full Text Available According to E-business distribution center operation mode in domestic and advanced experience drawing lessons at home and abroad, this paper based on intelligent robot researches E-business distribution center operation mode. And it proposes the innovation logistics storage in E-business and sorting integration system, and elaborates its principle, characteristics, as well as studies its business mode and logistics process, and its parameters and working mode of AGV equipment.

  20. JOYO operation support system 'JOYCAT' based on intelligent alarm handling

    International Nuclear Information System (INIS)

    Tamaoki, Tetsuo; Yamamoto, Hiroki; Sato, Masuo; Yoshida, Megumu; Kaneko, Tomoko; Terunuma, Seiichi; Takatsuto, Hiroshi; Morimoto, Makoto.

    1992-01-01

    An operation support system for the experimental fast reactor 'JOYO' was developed based on an intelligent alarm-handling. A specific feature of this system, called JOYCAT (JOYO Consulting and Analyzing Tool), is in its sequential processing structure that a uniform treatment by using design knowledge base is firstly applied for all activated alarms, and an exceptional treatment by using heuristic knowledge base is then applied only for the former results. This enables us to achieve real-time and flexible alarm-handling. The first alarm-handling determines the candidates of causal alarms, important alarms with which the operator should firstly cope, through identifying the cause-consequence relations among alarms based on the design knowledge base in which importance and activating conditions are described for each of 640 alarms in a frame format. The second alarm-handling makes the final judgement with the candidates by using the heuristic knowledge base described as production rules. Then, operation manuals concerning the most important alarms are displayed to operators. JOYCAT has been in commission since September of 1990, after a wide scope of validation tests by using an on-site full-scope training simulator. (author)

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

    Science.gov (United States)

    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. Business intelligence design for live piloting of order fulfilment centers

    NARCIS (Netherlands)

    Ashayeri, J.; Montreuil, B.; Lagerwaard, J.; Janssen, G.; Ellis, K.; Meller, R.; Ogle, M.K.; Peters, B.A.; Taylor, G.D.; Usher, J.

    2008-01-01

    Other fulfillment centers focus on fast paced timely preparation and outbound shipment of customer orders from a large mix of temporarily stored inbound products acquired to satisfy these orders. In order to be both price and service competitive, such fulfillers thrive on real-time synchronization

  3. Usability Evaluation for Business Intelligence Applications: A User Support Perspective

    Directory of Open Access Journals (Sweden)

    Chrisna Jooste

    2014-08-01

    Full Text Available Business Intelligence (BI applications provide business information to drive decision support. Usability is one of the factors determining the optimal use and eventual benefit derived from BI applications. The documented need for more BI usability research together with the practical necessity for BI evaluation guidelines in the mining industry provides the rationale for this study. The purpose of the study was to investigate the usability evaluation of BI applications in the context of a coal mining organization. The research is guided by the question: How can existing usability criteria be customized to evaluate the usability of BI applications. The research design included user observation, heuristic evaluation and a survey. Based on observations made during user support on a BI application used at a coal mining organization a log of usability issues was compiled. The usability issues extracted from this log was compared and contrasted with general usability criteria from literature to synthesize an initial set of BI usability evaluation criteria. These criteria were used as the basis for a heuristic evaluation of the BI application used at the coal mining organization. The same BI application was also evaluated using the Software Usability Measurement Inventory (SUMI standardized questionnaire. The results from the two evaluations were triangulated and then compared with the BI user issues again to contextualize the findings and synthesize a validated and refined set of criteria. The main contribution of the study is the usability evaluation criteria for BI applications presented as guidelines. These guidelines deviate from existing evaluation guidelines in the emphasis on information architecture, learnability and operability.

  4. Artificial intelligence based decision support for trumpeter swan management

    Science.gov (United States)

    Sojda, Richard S.

    2002-01-01

    The number of trumpeter swans (Cygnus buccinator) breeding in the Tri-State area where Montana, Idaho, and Wyoming come together has declined to just a few hundred pairs. However, these birds are part of the Rocky Mountain Population which additionally has over 3,500 birds breeding in Alberta, British Columbia, Northwest Territories, and Yukon Territory. To a large degree, these birds seem to have abandoned traditional migratory pathways in the flyway. Waterfowl managers have been interested in decision support tools that would help them explore simulated management scenarios in their quest towards reaching population recovery and the reestablishment of traditional migratory pathways. I have developed a decision support system to assist biologists with such management, especially related to wetland ecology. Decision support systems use a combination of models, analytical techniques, and information retrieval to help develop and evaluate appropriate alternatives. Swan management is a domain that is ecologically complex, and this complexity is compounded by spatial and temporal issues. As such, swan management is an inherently distributed problem. Therefore, the ecological context for modeling swan movements in response to management actions was built as a multiagent system of interacting intelligent agents that implements a queuing model representing swan migration. These agents accessed ecological knowledge about swans, their habitats, and flyway management principles from three independent expert systems. The agents were autonomous, had some sensory capability, and could respond to changing conditions. A key problem when developing ecological decision support systems is empirically determining that the recommendations provided are valid. Because Rocky Mountain trumpeter swans have been surveyed for a long period of time, I was able to compare simulated distributions provided by the system with actual field observations across 20 areas for the period 1988

  5. EIIS: An Educational Information Intelligent Search Engine Supported by Semantic Services

    Science.gov (United States)

    Huang, Chang-Qin; Duan, Ru-Lin; Tang, Yong; Zhu, Zhi-Ting; Yan, Yong-Jian; Guo, Yu-Qing

    2011-01-01

    The semantic web brings a new opportunity for efficient information organization and search. To meet the special requirements of the educational field, this paper proposes an intelligent search engine enabled by educational semantic support service, where three kinds of searches are integrated into Educational Information Intelligent Search (EIIS)…

  6. An Intelligent Support System for Energy Resources in the United States.

    Science.gov (United States)

    Rosenberg, S.

    Based on artificial intelligence research, the frame based system for reasoning described in this paper is one of the components of an intelligent decision support system for an information system on petroleum resources and use which is being designed by the Information Methodology Research Project as the first step in the development of a…

  7. Chinese Adolescents' Emotional Intelligence, Perceived Social Support, and Resilience

    Science.gov (United States)

    Chen, Shitao

    2017-01-01

    The constructs of emotional intelligence, perceived social support and resilience have been primarily developed in a Western, individual-oriented societal context. The application of these constructs in Eastern cultures requires further investigation. The aim of the study was to examine the relationships among trait emotional intelligence,…

  8. Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.

    Science.gov (United States)

    Contreras, Ivan; Vehi, Josep

    2018-05-30

    Artificial intelligence methods in combination with the latest technologies, including medical devices, mobile computing, and sensor technologies, have the potential to enable the creation and delivery of better management services to deal with chronic diseases. One of the most lethal and prevalent chronic diseases is diabetes mellitus, which is characterized by dysfunction of glucose homeostasis. The objective of this paper is to review recent efforts to use artificial intelligence techniques to assist in the management of diabetes, along with the associated challenges. A review of the literature was conducted using PubMed and related bibliographic resources. Analyses of the literature from 2010 to 2018 yielded 1849 pertinent articles, of which we selected 141 for detailed review. We propose a functional taxonomy for diabetes management and artificial intelligence. Additionally, a detailed analysis of each subject category was performed using related key outcomes. This approach revealed that the experiments and studies reviewed yielded encouraging results. We obtained evidence of an acceleration of research activity aimed at developing artificial intelligence-powered tools for prediction and prevention of complications associated with diabetes. Our results indicate that artificial intelligence methods are being progressively established as suitable for use in clinical daily practice, as well as for the self-management of diabetes. Consequently, these methods provide powerful tools for improving patients' quality of life. ©Ivan Contreras, Josep Vehi. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 30.05.2018.

  9. Decision Support for Software Process Management Teams: An Intelligent Software Agent Approach

    National Research Council Canada - National Science Library

    Church, Lori

    2000-01-01

    ... to market, eliminate redundancy, and ease job stress. This thesis proposes a conceptual model for software process management decision support in the form of an intelligent software agent network...

  10. Intelligent Electric Vehicle Integration - Domain Interfaces and Supporting Informatics

    DEFF Research Database (Denmark)

    Andersen, Peter Bach

    This thesis seeks to apply the field of informatics to the intelligent integration of electric vehicles into the power system. The main goal is to release the potential of electric vehicles in relation to a reliable, economically efficient power system based on renewables. To make intelligent EV...... and services in which the electric vehicle may be best suited to participate. The next stakeholder investigated is the distribution system operator representing the low voltage grid. The challenge is assessed by considering a number of grid impacts studies. Next, a set of grid congestion mitigation strategies...

  11. Engineering Technical Support Center Annual Report Fiscal Year 2015

    Science.gov (United States)

    The United States Environmental Protection Agency (EPA or Agency) Office of Research and Development (ORD) created the Engineering Technical Support Center (ETSC) in 1987, one of several technical support centers created as part of the Technical Support Project (TSP). ETSC provid...

  12. Logistics Operations Management Center: Maintenance Support Baseline (LOMC-MSB)

    Science.gov (United States)

    Kurrus, R.; Stump, F.

    1995-01-01

    The Logistics Operations Management Center Maintenance Support Baseline is defined. A historical record of systems, applied to and deleted from, designs in support of future management and/or technical analysis is provided. All Flight elements, Ground Support Equipment, Facility Systems and Equipment and Test Support Equipment for which LOMC has responsibilities at Kennedy Space Center and other locations are listed. International Space Station Alpha Program documentation is supplemented. The responsibility of the Space Station Launch Site Support Office is established.

  13. A Conversation Model Enabling Intelligent Agents to Give Emotional Support

    NARCIS (Netherlands)

    Van der Zwaan, J.M.; Dignum, V.; Jonker, C.M.

    2012-01-01

    In everyday life, people frequently talk to others to help them deal with negative emotions. To some extent, everybody is capable of comforting other people, but so far conversational agents are unable to deal with this type of situation. To provide intelligent agents with the capability to give

  14. Artificial intelligence support for scientific model-building

    Science.gov (United States)

    Keller, Richard M.

    1992-01-01

    Scientific model-building can be a time-intensive and painstaking process, often involving the development of large and complex computer programs. Despite the effort involved, scientific models cannot easily be distributed and shared with other scientists. In general, implemented scientific models are complex, idiosyncratic, and difficult for anyone but the original scientific development team to understand. We believe that artificial intelligence techniques can facilitate both the model-building and model-sharing process. In this paper, we overview our effort to build a scientific modeling software tool that aids the scientist in developing and using models. This tool includes an interactive intelligent graphical interface, a high-level domain specific modeling language, a library of physics equations and experimental datasets, and a suite of data display facilities.

  15. Emotional Intelligence, Work/Family Conflict, and Work Values among Customer Service Representatives: Basis for Organizational Support

    Directory of Open Access Journals (Sweden)

    Rommel P. Sergio

    2015-03-01

    Full Text Available This research paper discusses the profile of emotional intelligence, work/family conflict, and work values among 437 purposively selected customer service representatives (CSRs from the Middle East, Iran, Pakistan, Russia, India, and the Philippines. Moreover, the study leads to a set of organizational change development programs to assist organizations to cope with their diversity concerns. The descriptive, comparative-correlational methods were employed as this paper also aims to find the correlates of emotional intelligence such as work/family conflict, and work values. The researchers utilized several instruments, namely the Demographic Profile Sheet, Emotional Competence Inventory, Work/Family Conflict Scale, and Work Values Inventory. The general findings reveal that there is a significant relationship between emotional intelligence and work/family conflict, particularly on the areas of self- management, social awareness and relationship management; whereas, there is a significant relationship between emotional intelligence (particularly on the clusters of self- management, social awareness and relationship management and work values (specifically in the areas of management, achievement, supervisory relations, way of life, and independence. The organizational development support programs with emphasis on diversity management have been recommended to set future directions for call center organizations involved in the study.

  16. Intelligence

    Science.gov (United States)

    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

  17. Intelligence.

    Science.gov (United States)

    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.

  18. US EPA's Ecological Risk Assessment Support Center ...

    Science.gov (United States)

    BackgroundThe ERASC provides technical information and addresses scientific questions of concern or interest on topics relevant to ecological risk assessment at hazardous waste sites for EPA's Office of Solid Waste and Emergency Response (OSWER) personnel and the Office of Resource Conservation and Recovery (ORCR) staff. Requests are channeled to ERASC through the Ecological Risk Assessment Forum (ERAF). To assess emerging and complex scientific issues that require expert judgment, the ERASC relies on the expertise of scientists and engineers located throughout EPA's Office of Research and Development (ORD) labs and centers.ResponseERASC develops responses that reflect the state of the science for ecological risk assessment and also provides a communication point for the distribution of the responses to other interested parties. For further information, contact Ecology_ERASC@epa.gov or call 513-569-7940.

  19. Modern Data Center Services Supporting Science

    Science.gov (United States)

    Varner, J. D.; Cartwright, J.; McLean, S. J.; Boucher, J.; Neufeld, D.; LaRocque, J.; Fischman, D.; McQuinn, E.; Fugett, C.

    2011-12-01

    The National Oceanic and Atmospheric Administration's National Geophysical Data Center (NGDC) World Data Center for Geophysics and Marine Geology provides scientific stewardship, products and services for geophysical data, including bathymetry, gravity, magnetics, seismic reflection, data derived from sediment and rock samples, as well as historical natural hazards data (tsunamis, earthquakes, and volcanoes). Although NGDC has long made many of its datasets available through map and other web services, it has now developed a second generation of services to improve the discovery and access to data. These new services use off-the-shelf commercial and open source software, and take advantage of modern JavaScript and web application frameworks. Services are accessible using both RESTful and SOAP queries as well as Open Geospatial Consortium (OGC) standard protocols such as WMS, WFS, WCS, and KML. These new map services (implemented using ESRI ArcGIS Server) are finer-grained than their predecessors, feature improved cartography, and offer dramatic speed improvements through the use of map caches. Using standards-based interfaces allows customers to incorporate the services without having to coordinate with the provider. Providing fine-grained services increases flexibility for customers building custom applications. The Integrated Ocean and Coastal Mapping program and Coastal and Marine Spatial Planning program are two examples of national initiatives that require common data inventories from multiple sources and benefit from these modern data services. NGDC is also consuming its own services, providing a set of new browser-based mapping applications which allow the user to quickly visualize and search for data. One example is a new interactive mapping application to search and display information about historical natural hazards. NGDC continues to increase the amount of its data holdings that are accessible and is augmenting the capabilities with modern web

  20. A Novel Intelligent Transportation Control Supported by Wireless Sensor Network

    Directory of Open Access Journals (Sweden)

    Zhe Qian

    2013-05-01

    Full Text Available With the development of wireless sensor unit, and improvement of real-time and quality of wireless communication, the intelligent transportation control system employ these technologies to realize sensing, positioning, computing, and communication for voiding collisions. This paper discusses the framework of transportation control system, and emphases TDOA positioning algorithm and the new weighted least square optimization method. The simulation result shows that, our method achieves high-accuracy of positioning, which can satisfy the need of transportation control. Finally, we outline the urgent work need to address in the future.

  1. Summary of Professional Activities, Center for Intelligence and Special Programs. 1990

    Science.gov (United States)

    1991-06-01

    system engineering support to components of the intelligence community, particularly in the areas of networks, information security, artificial ...lintttpatev bioth -overnmnent andt (’ofliet - (Wia tet Iitulogy to atsV the’ needs 01 intelig ~ence analysis asqc to newh fin-med D~epartment ot (enten s Te...Similarity-Based Classilti- Packet Switching Technol- April 1990. cation," Eighth National ogy," 1190 IEEE Military Confeience on Artificial

  2. Detection of cyst using image segmentation and building knowledge-based intelligent decision support system as an aid to telemedicine

    Science.gov (United States)

    Janet, J.; Natesan, T. R.; Santhosh, Ramamurthy; Ibramsha, Mohideen

    2005-02-01

    An intelligent decision support tool to the Radiologist in telemedicine is described. Medical prescriptions are given based on the images of cyst that has been transmitted over computer networks to the remote medical center. The digital image, acquired by sonography, is converted into an intensity image. This image is then subjected to image preprocessing which involves correction methods to eliminate specific artifacts. The image is resized into a 256 x 256 matrix by using bilinear interpolation method. The background area is detected using distinct block operation. The area of the cyst is calculated by removing the background area from the original image. Boundary enhancement and morphological operations are done to remove unrelated pixels. This gives us the cyst volume. This segmented image of the cyst is sent to the remote medical center for analysis by Knowledge based artificial Intelligent Decision Support System (KIDSS). The type of cyst is detected and reported to the control mechanism of KIDSS. Then the inference engine compares this with the knowledge base and gives appropriate medical prescriptions or treatment recommendations by applying reasoning mechanisms at the remote medical center.

  3. Intelligent decision support algorithm for distribution system restoration.

    Science.gov (United States)

    Singh, Reetu; Mehfuz, Shabana; Kumar, Parmod

    2016-01-01

    Distribution system is the means of revenue for electric utility. It needs to be restored at the earliest if any feeder or complete system is tripped out due to fault or any other cause. Further, uncertainty of the loads, result in variations in the distribution network's parameters. Thus, an intelligent algorithm incorporating hybrid fuzzy-grey relation, which can take into account the uncertainties and compare the sequences is discussed to analyse and restore the distribution system. The simulation studies are carried out to show the utility of the method by ranking the restoration plans for a typical distribution system. This algorithm also meets the smart grid requirements in terms of an automated restoration plan for the partial/full blackout of network.

  4. TRACKING VEHICLE IN GSM NETWORK TO SUPPORT INTELLIGENT TRANSPORTATION SYSTEMS

    Directory of Open Access Journals (Sweden)

    Z. Koppanyi

    2012-07-01

    Full Text Available The penetration of GSM capable devices is very high, especially in Europe. To exploit the potential of turning these mobile devices into dynamic data acquisition nodes that provides valuable data for Intelligent Transportation Systems (ITS, position information is needed. The paper describes the basic operation principles of the GSM system and provides an overview on the existing methods for deriving location data in the network. A novel positioning solution is presented that rely on handover (HO zone measurements; the zone geometry properties are also discussed. A new concept of HO zone sequence recognition is introduced that involves application of Probabilistic Deterministic Finite State Automata (PDFA. Both the potential commercial applications and the use of the derived position data in ITS is discussed for tracking vehicles and monitoring traffic flow. As a practical cutting edge example, the integration possibility of the technology in the SafeTRIP platform (developed in an EC FP7 project is presented.

  5. Simulation and off-line programming at Sandia`s Intelligent Systems and Robotics Center

    Energy Technology Data Exchange (ETDEWEB)

    Xavier, P.G.; Fahrenholtz, J.C.; McDonald, M. [Sandia National Labs., Albuquerque, NM (United States). Intelligent Systems and Robotics Center] [and others

    1997-11-01

    One role of the Intelligent Robotics and System Center (ISRC) at Sandia National Laboratories is to address certain aspects of Sandia`s mission to design, manufacture, maintain, and dismantle nuclear weapon components. Hazardous materials, devices, and environments are often involved. Because of shrinking resources, these tasks must be accomplished with a minimum of prototyping, while maintaining high reliability. In this paper, the authors describe simulation, off-line programming/planning, and related tools which are in use, under development, and being researched to solve these problems at the ISRC.

  6. Intelligent Configuration of Social Support Networks around Depressed Persons

    NARCIS (Netherlands)

    Aziz, A.A.; Klein, M.C.A.; Treur, J.

    2011-01-01

    Helping someone who is depressed can be very important to the depressed person. A number of supportive family members or friends can often make a big difference. This paper addresses how a social support network can be formed, taking the needs of the support recipient and the possibilities of the

  7. Intelligent Decision Support and Big Data for Logistics and Supply Chain Management

    DEFF Research Database (Denmark)

    Voss, Stefan; Sebastian, Hans-Jürgen; Pahl, Julia

    2017-01-01

    Intelligent Decision Support and Big Data for Logistics and Supply Chain Management” features theoretical developments, real-world applications and information systems related to solving decision problems in logistics and supply chain management. Methods include optimization, heuristics, metaheur......Intelligent Decision Support and Big Data for Logistics and Supply Chain Management” features theoretical developments, real-world applications and information systems related to solving decision problems in logistics and supply chain management. Methods include optimization, heuristics......, metaheuristics and matheuristics, simulation, agent technologies, and descriptive methods. In a sense, we were and are representing the future of logistics over the years....

  8. MLED_BI: a new BI Design Approach to Support Multilingualism in Business Intelligence

    Directory of Open Access Journals (Sweden)

    Nedim Dedić

    2017-11-01

    Full Text Available Existing approaches to support Multilingualism (ML in Business Intelligence (BI create problems for business users, present a number of challenges from the technical perspective, and lead to issues with logical dependence in the star schema. In this paper, we propose MLED_BI (Multilingual Enabled Design for Business Intelligence, a novel BI design approach to support the application of ML in BI Environment, which overcomes the issues and problems found with existing approaches. The approach is based on a revision of the data warehouse dimensional modelling approach and treats the Star Schema as a higher level entity. This paper describes MLED_BI and the validation and evaluation approach used.

  9. The Development of Multiple Intelligence Capabilities for Early Childhood Development Center, Local Administration Organization in Chaiyaphum Province

    Science.gov (United States)

    Siphai, Sunan; Supandee, Terdsak; Raksapuk, Chunpit; Poopayang, Piangkhae; Kratoorerk, Sangsan

    2017-01-01

    The aim of this research is to promote multiple intelligence capabilities for Early Childhood Care Center of a Sub-district Administration Organization in Chaiyaphum Province. The sample applied were 61 children aging between 3 and 5 years old at Child Development Center, Tambon Ban Kok, Amphoe Chaturus, Chaiyaphum Province, who were selected…

  10. Artificial Intelligence: Bayesian versus Heuristic Method for Diagnostic Decision Support.

    Science.gov (United States)

    Elkin, Peter L; Schlegel, Daniel R; Anderson, Michael; Komm, Jordan; Ficheur, Gregoire; Bisson, Leslie

    2018-04-01

    Evoking strength is one of the important contributions of the field of Biomedical Informatics to the discipline of Artificial Intelligence. The University at Buffalo's Orthopedics Department wanted to create an expert system to assist patients with self-diagnosis of knee problems and to thereby facilitate referral to the right orthopedic subspecialist. They had two independent sports medicine physicians review 469 cases. A board-certified orthopedic sports medicine practitioner, L.B., reviewed any disagreements until a gold standard diagnosis was reached. For each case, the patients entered 126 potential answers to 26 questions into a Web interface. These were modeled by an expert sports medicine physician and the answers were reviewed by L.B. For each finding, the clinician specified the sensitivity (term frequency) and both specificity (Sp) and the heuristic evoking strength (ES). Heuristics are methods of reasoning with only partial evidence. An expert system was constructed that reflected the posttest odds of disease-ranked list for each case. We compare the accuracy of using Sp to that of using ES (original model, p  < 0.0008; term importance * disease importance [DItimesTI] model, p  < 0.0001: Wilcoxon ranked sum test). For patient referral assignment, Sp in the DItimesTI model was superior to the use of ES. By the fifth diagnosis, the advantage was lost and so there is no difference between the techniques when serving as a reminder system. Schattauer GmbH Stuttgart.

  11. Affordances and Constraints of Intelligent Decision Support for Military Command and Control : Three Case Studies of Support Systems

    OpenAIRE

    Leifler, Ola

    2011-01-01

    Researchers in military command and control (C2) have for several decades sought to help commanders by introducing automated, intelligent decision support systems. These systems are still not widely used, however, and some researchers argue that this may be due to those problems that are inherent in the relationship between the affordances of technology and the requirements by the specific contexts of work in military C2. In this thesis, we study some specific properties of three support tech...

  12. Using Emotional Intelligence and Social Support to Predict Job Performance of Health Educators

    Science.gov (United States)

    Branscum, Paul; Haider, Taj; Brown, David; Sharma, Manoj

    2016-01-01

    Background: The theory of emotional intelligence (EI) has been developed to evaluate and highlight the importance of emotional health, especially on job performance. Purpose: No study has examined EI's role on the performance of public health educators; therefore, this study examined the role of EI and social support on the performance of health…

  13. Intelligent Model Management in a Forest Ecosystem Management Decision Support System

    Science.gov (United States)

    Donald Nute; Walter D. Potter; Frederick Maier; Jin Wang; Mark Twery; H. Michael Rauscher; Peter Knopp; Scott Thomasma; Mayukh Dass; Hajime Uchiyama

    2002-01-01

    Decision making for forest ecosystem management can include the use of a wide variety of modeling tools. These tools include vegetation growth models, wildlife models, silvicultural models, GIS, and visualization tools. NED-2 is a robust, intelligent, goal-driven decision support system that integrates tools in each of these categories. NED-2 uses a blackboard...

  14. MamMoeT : An intelligent agent-based communication support platform for multimodal transport

    NARCIS (Netherlands)

    Dullaert, Wout; Neutens, Tijs; Vanden Berghe, Greet; Vermeulen, Tijs; Vernimmen, Bert; Witlox, Frank

    In this paper, an intelligent agent-based communication support platform for multimodal transport is developed. The rationale for doing so is found in the potential of such a system to increase cost efficiency, service and safety for different transport-related actors. Although, at present several

  15. Towards a value model for collaborative, business intelligence-supported risk assessment

    NARCIS (Netherlands)

    Liu, L.; Daniëls, H.A.M.; Johannesson, P.

    2012-01-01

    Collaborative business intelligence supports risk assessment and in return enhances management control on a business network. Nonetheless, it needs an incentive basis in the first place before it can be implemented, that is, the value model. Starting from the managerial challenges which arise from

  16. Design of an Intelligent Support Agent Model for People with a Cognitive Vulnerability

    NARCIS (Netherlands)

    Aziz, A.A.; Klein, M.C.A.; Zhang, B.; Wang, Y.; Kinser, W.

    2010-01-01

    This paper presents the design of an intelligent agent application aimed at supporting people with a cognitive vulnerability to prevent the onset of a depression. For this, a computational model of the cognitive processes around depression is used. The agent application uses the principles of

  17. An intelligent spatial land use planning support system using socially rational agents

    NARCIS (Netherlands)

    Ghavami, S.M.; Taleai, M.; Arentze, T.A.

    2017-01-01

    This research presents an intelligent planning support system based on multi-agent systems for spatial urban land use planning. The proposed system consists of two main phases: a pre-negotiation phase and an automated negotiation phase. The pre-negotiation phase involves interaction between human

  18. Supporting learner-centered technology integration through situated mentoring

    Science.gov (United States)

    Rosenberg, Marian Goode

    Situated mentoring was used as a professional development method to help 11 high school science teachers integrate learner-centered technology. The teachers' learner-centered technology beliefs and practices as well as their perception of barriers to learner-centered technology integration were explored before and after participating in the mentoring program. In addition, the participants' thoughts about the effectiveness of various components of the mentoring program were analyzed along with the mentor's observations of their practices. Situated mentoring can be effective for supporting learner-centered technology integration, in particular decreasing the barriers teachers experience. Goal setting, collaborative planning, reflection, and onsite just-in-time support were thought to be the most valuable components of the mentoring program.

  19. Integrated Multimedia Based Intelligent Group Decision Support System for Electrical Power Network

    Directory of Open Access Journals (Sweden)

    Ajay Kumar Saxena

    2002-05-01

    Full Text Available Electrical Power Network in recent time requires an intelligent, virtual environment based decision process for the coordination of all its individual elements and the interrelated tasks. Its ultimate goal is to achieve maximum productivity and efficiency through the efficient and effective application of generation, transmission, distribution, pricing and regulatory systems. However, the complexity of electrical power network and the presence of conflicting multiple goals and objectives postulated by various groups emphasized the need of an intelligent group decision support system approach in this field. In this paper, an Integrated Multimedia based Intelligent Group Decision Support System (IM1GDSS is presented, and its main components are analyzed and discussed. In particular attention is focused on the Data Base, Model Base, Central Black Board (CBB and Multicriteria Futuristic Decision Process (MFDP module. The model base interacts with Electrical Power Network Load Forecasting and Planning (EPNLFP Module; Resource Optimization, Modeling and Simulation (ROMAS Module; Electrical Power Network Control and Evaluation Process (EPNCAEP Module, and MFDP Module through CBB for strategic planning, management control, operational planning and transaction processing. The richness of multimedia channels adds a totally new dimension in a group decision making for Electrical Power Network. The proposed IMIGDSS is a user friendly, highly interactive group decision making system, based on efficient intelligent and multimedia communication support for group discussions, retrieval of content and multi criteria decision analysis.

  20. Business Intelligence & Knowledge Management - Technological Support for Strategic Management in the Knowledge Based Economy

    Directory of Open Access Journals (Sweden)

    Dorel PARASCHIV

    2008-01-01

    Full Text Available The viability and success of modern enterprises are subject to the increasing dynamic of the economic environment, so they need to adjust rapidly their policies and strategies in order to respond to sophistication of competitors, customers and suppliers, globalization of business, international competition. Perhaps the most critical component for success of the modern enterprise is its ability to take advantage of all available information - both internal and external. Making sense of all this information, gaining value and competitive advantage through represents real challenges for the enterprise. The IT solutions designed to address these challenges have been developed in two different approaches: structured data management (Business Intelligence and unstructured content management (Knowledge Management. Integrating Business Intelligence and Knowledge Management in new software applications designated not only to store highly structured data and exploit it in real time but also to interpret the results and communicate them to decision factors provides real technological support for Strategic Management. Integrating Business Intelligence and Knowledge Management in order to respond to the challenges the modern enterprise has to deal with represents not only a "new trend" in IT, but a necessity in the emerging knowledge based economy. These hybrid technologies are already widely known in both scientific and practice communities as Competitive Intelligence. In the end of paper,a competitive datawarehouse design is proposed, in an attempt to apply business intelligence technologies to economic environment analysis making use of romanian public data sources.

  1. Design and operation of the emergency support center, CAE

    International Nuclear Information System (INIS)

    Caro, R. J.; Lopez Trillo, E.

    2016-01-01

    The enhancements developed in Spain in the area of Emergency Management, as consequence of the accident at the Fukushima Dai-Ichi NPP in 2011, included the definition of new emergency response centers; Alternative Center for Emergency Management (CAGE) on each NPP and the Emergency Support Center (CAE), shared by all NPPs. This article summarizes the main features and operation activities undertaken since the establishment of the new CAE, centralized, external to the NPPs shared by all Spanish plants and managed by Tecnatom. (Author)

  2. Probabilistic risk assessment and intelligent decision support systems

    International Nuclear Information System (INIS)

    Wu, J.S.; Apostolakis, G.E.; Okrent, D.

    1989-01-01

    The purpose of this paper is to review the progress made in recent years in both the area of PRA as a support to AI applications and the area of AI applications in PRA. The emphasis is on the areas that have made some progress in the past few years, with a brief description of the methods and a discussion of the potential uses and weaknesses. Also included is a brief review of recent developments in the theory of uncertainty in the AI community that may impact uncertainty modeling in PRA. AI techniques could be applied to the related field of PRA in several ways. In this discussion, however, the scope is limited to emergency diagnosis and accident management, because these are the areas that have attracted most of the attention in recent years. The potential use of PRA as a support to these applications is discussed in detail, and this is followed by a survey of recent developments in these areas. (orig./GL)

  3. Artificial intelligence tools decision support systems in condition monitoring and diagnosis

    CERN Document Server

    Galar Pascual, Diego

    2015-01-01

    Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource: Addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniques Considers the merits of each technique as well as the issues associated with real-life application Covers classification methods, from neural networks to Bayesian and support vector machines Proposes fuzzy logic to explain the uncertainties associated with diagnostic processes Provides data sets, sample signals, and MATLAB® code for algorithm testing Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis delivers a thorough evaluation of the latest AI tools for CM, describing the most common fault diagnosis techniques used and the data acquired when these techniques are applied.

  4. Intelligent support of X-ray qualitative analysis

    International Nuclear Information System (INIS)

    Arai, Hiroshi; Uota, Atsushi; Ishida, Hidenobu

    1995-01-01

    'X-ray Diffraction AI Qualitative Analysis System' which can support analytical operation was developed. The purpose of this development is that even a beginner analyst can obtain the accurate results as well as specialists. This system has three new functions. The first one is to determine the suitable measuring conditions automatically for samples or analytical aim. The second is to guide the method of peak search. And, the third is to determine searching conditions same as measuring conditions. These were realized by applying experts' knowledge with 'AI techniques' and were added to our qualitative analysis systems. A beginner analyses through dialogue with this system, and can get the same results as a specialist would get. (author)

  5. Intelligent Techniques Using Molecular Data Analysis in Leukaemia: An Opportunity for Personalized Medicine Support System.

    Science.gov (United States)

    Banjar, Haneen; Adelson, David; Brown, Fred; Chaudhri, Naeem

    2017-01-01

    The use of intelligent techniques in medicine has brought a ray of hope in terms of treating leukaemia patients. Personalized treatment uses patient's genetic profile to select a mode of treatment. This process makes use of molecular technology and machine learning, to determine the most suitable approach to treating a leukaemia patient. Until now, no reviews have been published from a computational perspective concerning the development of personalized medicine intelligent techniques for leukaemia patients using molecular data analysis. This review studies the published empirical research on personalized medicine in leukaemia and synthesizes findings across studies related to intelligence techniques in leukaemia, with specific attention to particular categories of these studies to help identify opportunities for further research into personalized medicine support systems in chronic myeloid leukaemia. A systematic search was carried out to identify studies using intelligence techniques in leukaemia and to categorize these studies based on leukaemia type and also the task, data source, and purpose of the studies. Most studies used molecular data analysis for personalized medicine, but future advancement for leukaemia patients requires molecular models that use advanced machine-learning methods to automate decision-making in treatment management to deliver supportive medical information to the patient in clinical practice.

  6. Metropolitan transportation management center : a case study : Michigan intelligent transportation system : improving safety and air quality while reducing stress for motorists

    Science.gov (United States)

    1999-10-01

    The following case study provides a snapshot of Michigan's Intelligent Transportation Systems transportation management center (MITSC). It follows the outline provided in the companion document, Metropolitan Transportation Management Center Concepts ...

  7. [Effectiveness of support for asbestos health consultation in health centers].

    Science.gov (United States)

    Nagamatsu, Yasuko

    2011-09-01

    In this research, we aimed to evaluate the support for asbestos health consultation in health centers. In this exploratory descriptive study, a self-administered original questionnaire was developed and used. Among all 517 health centers, valid responses were returned from 323 (62.5%) consenting centers. Consultations in the previous year ranged from 0-108 cases, with a facility median of 3.0 cases. Among staff members, 86.4% did not receive training and 35.4% had never used the manual. Workplaces that use asbestos within their jurisdiction were recognized by 39.2% of staff members, and 16.7% of these members always supported consultants psychologically. The staff members were not confident about asbestos health consultation: 71.2% for general questions, 76.2% for questions about asbestos-related diseases, and 76.4% for questions about risk of asbestos-related diseases; 51.4% were not confident about the Asbestos-Related Health Damage Relief System. Health center staff members who were significantly more confident were those who had more staff to work with; dealt with many consultations in the previous year; recognized the workplaces using asbestos within their jurisdiction; often used the manual and often psychologically supported consultants. According to the covariance structure analysis model, the 'use of support systems' consisting of 'the use of manual', 'training attendance' and 'recognition of workplaces that use asbestos' positively affected the frequency of psychological support (peffective in building the confidence of health center staff in relation to asbestos health consultation, although the use of these support systems was low.

  8. Artificial Intelligence Support for Landing Site Selection on Mars

    Science.gov (United States)

    Rongier, G.; Pankratius, V.

    2017-12-01

    Mars is a key target for planetary exploration; a better understanding of its evolution and habitability requires roving in situ. Landing site selection is becoming more challenging for scientists as new instruments generate higher data volumes. The involved engineering and scientific constraints make site selection and the anticipation of possible onsite actions into a complex optimization problem: there may be multiple acceptable solutions depending on various goals and assumptions. Solutions must also account for missing data, errors, and potential biases. To address these problems, we propose an AI-informed decision support system that allows scientists, mission designers, engineers, and committees to explore alternative site selection choices based on data. In particular, we demonstrate first results of an exploratory case study using fuzzy logic and a simulation of a rover's mobility map based on the fast marching algorithm. Our system computes favorability maps of the entire planet to facilitate landing site selection and allows a definition of different configurations for rovers, science target priorities, landing ellipses, and other constraints. For a rover similar to NASA's Mars 2020 rover, we present results in form of a site favorability map as well as four derived exploration scenarios that depend on different prioritized scientific targets, all visualizing inherent tradeoffs. Our method uses the NASA PDS Geosciences Node and the NASA/ICA Integrated Database of Planetary Features. Under common assumptions, the data products reveal Eastern Margaritifer Terra and Meridiani Planum to be the most favorable sites due to a high concentration of scientific targets and a flat, easily navigable surface. Our method also allows mission designers to investigate which constraints have the highest impact on the mission exploration potential and to change parameter ranges. Increasing the elevation limit for landing, for example, provides access to many additional

  9. Supporting Human Activities - Exploring Activity-Centered Computing

    DEFF Research Database (Denmark)

    Christensen, Henrik Bærbak; Bardram, Jakob

    2002-01-01

    In this paper we explore an activity-centered computing paradigm that is aimed at supporting work processes that are radically different from the ones known from office work. Our main inspiration is healthcare work that is characterized by an extreme degree of mobility, many interruptions, ad-hoc...

  10. Overview of NASA Glenn Research Center's Communications and Intelligent Systems Division

    Science.gov (United States)

    Miranda, Felix A.

    2016-01-01

    The Communications and Intelligent Systems Division provides expertise, plans, conducts and directs research and engineering development in the competency fields of advanced communications and intelligent systems technologies for application in current and future aeronautics and space systems.

  11. Human-centered automation and AI - Ideas, insights, and issues from the Intelligent Cockpit Aids research effort

    Science.gov (United States)

    Abbott, Kathy H.; Schutte, Paul C.

    1989-01-01

    A development status evaluation is presented for the NASA-Langley Intelligent Cockpit Aids research program, which encompasses AI, human/machine interfaces, and conventional automation. Attention is being given to decision-aiding concepts for human-centered automation, with emphasis on inflight subsystem fault management, inflight mission replanning, and communications management. The cockpit envisioned is for advanced commercial transport aircraft.

  12. Decision-Making Amplification under Uncertainty: An Exploratory Study of Behavioral Similarity and Intelligent Decision Support Systems

    Science.gov (United States)

    Campbell, Merle Wayne

    2013-01-01

    Intelligent decision systems have the potential to support and greatly amplify human decision-making across a number of industries and domains. However, despite the rapid improvement in the underlying capabilities of these "intelligent" systems, increasing their acceptance as decision aids in industry has remained a formidable challenge.…

  13. A development framework for artificial intelligence based distributed operations support systems

    Science.gov (United States)

    Adler, Richard M.; Cottman, Bruce H.

    1990-01-01

    Advanced automation is required to reduce costly human operations support requirements for complex space-based and ground control systems. Existing knowledge based technologies have been used successfully to automate individual operations tasks. Considerably less progress has been made in integrating and coordinating multiple operations applications for unified intelligent support systems. To fill this gap, SOCIAL, a tool set for developing Distributed Artificial Intelligence (DAI) systems is being constructed. SOCIAL consists of three primary language based components defining: models of interprocess communication across heterogeneous platforms; models for interprocess coordination, concurrency control, and fault management; and for accessing heterogeneous information resources. DAI applications subsystems, either new or existing, will access these distributed services non-intrusively, via high-level message-based protocols. SOCIAL will reduce the complexity of distributed communications, control, and integration, enabling developers to concentrate on the design and functionality of the target DAI system itself.

  14. Integrated Support Center for Nuclear Nonproliferation and Security

    International Nuclear Information System (INIS)

    Kimura, Naohito; Naoi, Yosuke

    2010-01-01

    In April 2010, at the Nuclear Security Summit, Japan demonstrated its commitment to the strengthening of nuclear non-proliferation and nuclear security and announced the establishment of the Integrated Comprehensive Support Center for Nuclear Non-proliferation and Nuclear Security in the Japan Atomic Energy Agency (JAEA), under the guidance and authority of the Ministry of Education, Culture, Sports and Science and Technology (MEXT), and in cooperation with other ministries. The goal of the Center is to strengthen nuclear non-proliferation and security in emerging nuclear power countries by sharing Japan's accumulated experiences in its peaceful use of nuclear energy. To achieve its goal, the Center serves three functions: (1) human resource and capacity building, (2) infrastructure development and technical assistance and (3) international coordination and cooperation. The Center will offer three types of training courses to strengthen human resources and capacity building in emerging nuclear power countries. In the Training Course on Nuclear Security, the participants will learn the design and evaluation process for physical protection and detection of and response to illegal or unauthorized acts related to nuclear materials. They will learn these issues not only through lectures and training but also using mockup facilities and virtual reality systems. Second, in the Training Course on Safeguards and State System of Accounting for and Control of Nuclear Material (SSAC), the Center will teach the experience of advanced safeguards activities in Japan for its full-scale nuclear fuel cycle facilities as a non-nuclear weapon state. The participants will learn the IAEA and national safeguards systems, the material accounting system and inspector activities. Third, in the Training on the International Nuclear Nonproliferation Framework, the participants will learn the international framework of nuclear non-proliferation including the IAEA safeguards system and

  15. Artificial intelligence and distance learning philosophy in support of PfP mandate

    OpenAIRE

    Antoliš, Krunoslav

    2003-01-01

    Computers have long been utilised in the legal environment. The main use of computers however, has merely been to automate office tasks. More exciting is the prospect of using artificial intelligence (AI) technology to create computers that can emulate the substantive legal jobs performed by lawyers, to create computers that can autonomously reason with the law to determine legal solutions, for example: structuring and support of Partnership for Peace (PfP) mandate. Such attempts have not bee...

  16. Selected business intelligence methods for decision-making support in a finance institution

    OpenAIRE

    Mezera, Filip; Křupka, Jiří

    2017-01-01

    This article deals with decision-making support methods’ implementation in a medium size financial company with international operations. The objective of this article is to show the abilities of these methods to precise decision-making of management. At the beginning of this article there is briefly described the existing situation in this business sector in Central Europe. After that part Business Intelligence methods are described as well as the reasons while these methods have been introd...

  17. Research on operation and maintenance support system adaptive to human recognition and understanding in human-centered plant

    International Nuclear Information System (INIS)

    Numano, Masayoshi; Matsuoka, Takeshi; Mitomo, N.

    2004-01-01

    As a human-centered plant, advanced nuclear power plant needs appropriate role sharing between human and mobile intelligent agents. Human-machine cooperation for plant operation and maintenance activities is also required with an advanced interface. Plant's maintenance is programmed using mobile robots working under the radiation environments instead of human beings. Operation and maintenance support system adaptive to human recognition and understanding should be developed to establish adequate human and machine interface so as to induce human capabilities to the full and enable human to take responsibility for plan's operation. Plant's operation and maintenance can be cooperative activities between human and intelligent automonous agents having surveillance and control functions. Infrastructure of multi-agent simulation system for the support system has been investigated and developed based on work plans derived from the scheduler. (T. Tanaka)

  18. Advanced Life Support Project: Crop Experiments at Kennedy Space Center

    Science.gov (United States)

    Sager, John C.; Stutte, Gary W.; Wheeler, Raymond M.; Yorio, Neil

    2004-01-01

    Crop production systems provide bioregenerative technologies to complement human crew life support requirements on long duration space missions. Kennedy Space Center has lead NASA's research on crop production systems that produce high value fresh foods, provide atmospheric regeneration, and perform water processing. As the emphasis on early missions to Mars has developed, our research focused on modular, scalable systems for transit missions, which can be developed into larger autonomous, bioregenerative systems for subsequent surface missions. Components of these scalable systems will include development of efficient light generating or collecting technologies, low mass plant growth chambers, and capability to operate in the high energy background radiation and reduced atmospheric pressures of space. These systems will be integrated with air, water, and thermal subsystems in an operational system. Extensive crop testing has been done for both staple and salad crops, but limited data is available on specific cultivar selection and breadboard testing to meet nominal Mars mission profiles of a 500-600 day surface mission. The recent research emphasis at Kennedy Space Center has shifted from staple crops, such as wheat, soybean and rice, toward short cycle salad crops such as lettuce, onion, radish, tomato, pepper, and strawberry. This paper will review the results of crop experiments to support the Exploration Initiative and the ongoing development of supporting technologies, and give an overview of capabilities of the newly opened Space Life Science (SLS) Lab at Kennedy Space Center. The 9662 square m (104,000 square ft) SLS Lab was built by the State of Florida and supports all NASA research that had been performed in Hanger-L. In addition to NASA research, the SLS Lab houses the Florida Space Research Institute (FSRI), responsible for co-managing the facility, and the University of Florida (UF) has established the Space Agriculture and Biotechnology Research and

  19. Canadian ATLAS data center to support CERN's LHC

    CERN Multimedia

    2006-01-01

    "The biggest science experiment in history is currently underway at the world-famous CERN labs in Switzerland, and Canada is poised to play a critical role in its success. Thanks to a $10.5 million investment announced by the Canada Foundation for Innovation (CFI), an ultra-sophisticated computing facility -- the ATLAS Data Center -- will be created to support the ATLAS project at CERN's Large Hadron Collider (LHC)." (1 page)

  20. Advances in intelligent analysis of medical data and decision support systems

    CERN Document Server

    Iantovics, Barna

    2013-01-01

    This volume is a result of the fruitful and vivid discussions during the MedDecSup'2012 International Workshop bringing together a relevant body of knowledge, and new developments in the increasingly important field of medical informatics. This carefully edited book presents new ideas aimed at the development of intelligent processing of various kinds of medical information and the perfection of the contemporary computer systems for medical decision support. The book presents advances of the medical information systems for intelligent archiving, processing, analysis and search-by-content which will improve the quality of the medical services for every patient and of the global healthcare system. The book combines in a synergistic way theoretical developments with the practicability of the approaches developed and presents the last developments and achievements in  medical informatics to a broad range of readers: engineers, mathematicians, physicians, and PhD students.

  1. Prediction of biochar yield from cattle manure pyrolysis via least squares support vector machine intelligent approach.

    Science.gov (United States)

    Cao, Hongliang; Xin, Ya; Yuan, Qiaoxia

    2016-02-01

    To predict conveniently the biochar yield from cattle manure pyrolysis, intelligent modeling approach was introduced in this research. A traditional artificial neural networks (ANN) model and a novel least squares support vector machine (LS-SVM) model were developed. For the identification and prediction evaluation of the models, a data set with 33 experimental data was used, which were obtained using a laboratory-scale fixed bed reaction system. The results demonstrated that the intelligent modeling approach is greatly convenient and effective for the prediction of the biochar yield. In particular, the novel LS-SVM model has a more satisfying predicting performance and its robustness is better than the traditional ANN model. The introduction and application of the LS-SVM modeling method gives a successful example, which is a good reference for the modeling study of cattle manure pyrolysis process, even other similar processes. Copyright © 2015 Elsevier Ltd. All rights reserved.

  2. Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

    CERN Document Server

    Demetriadis, Stavros; Xhafa, Fatos

    2012-01-01

    Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies and the mobile technologies, new opportunities and perspectives are opened for advanced adaptive and personalized systems. Adaptation and personalization are posing new research and development challenges to nowadays CSCL systems. In particular, adaptation should be focused in a multi-dimensional way (cognitive, technological, context-aware and personal). Moreover, it should address the particularities of both individual learners and group collaboration. As a consequence, the aim of this book is twofold. On the one hand, it discusses the latest advances and findings in the area of intelligent adaptive and personalized learning systems. On the other hand it analyzes the new implementation perspectives for intelligen...

  3. The role of emotional intelligence and organisational support on work stress of nurses in Ibadan, Nigeria.

    Science.gov (United States)

    Lawal, Abiodun M; Idemudia, Erhabor S

    2017-05-23

    Universally, nurses have been reported to be a group at high risk of workplace stress. However, nurses' responses to stressful situations at work could be the outcomes of individual differences and organisational factors. We examined the independent and joint contributions of four dimensions of emotional intelligence and perceived organisational support in work stress of nurses in a teaching hospital in Nigeria. The study was a cross-sectional survey research design, which selected 228 (41 male and 187 female nurses) nurses through the use of convenience sampling. Questionnaires comprising demographics with work stress, organisational support and emotional intelligence scales were administered to the sampled 228 nurses in the study. Data were analysed with the use of correlational matrix and hierarchical multiple regression. Self-emotion appraisal, others' emotion appraisal, use of emotion, regulation of emotion and perceived organisational support were found to have joint contributions to explaining work stress among nurses. Others' emotion appraisal, use of emotion and perceived organisational support were found to have independent relationships with work stress. Our findings stress that judgement of others' emotions, accurate use of emotion by nurses and support from management of the hospital are most important in explaining their reactions towards work-related stress.

  4. Center for information management and intelligence of the School of Public Legal Defense of the State of Bahia

    Directory of Open Access Journals (Sweden)

    Barbara Coelho Neves

    2012-04-01

    Full Text Available This paper presents the experience report about the implementation of the Center for Information Management and Intelligence administered by the Library of the Public Defender of the State of Bahia. The Center aims to corroborate the information stock, based on capturing the tacit knowledge of public Defenders of DPE. Aspires to social inclusion and the preservation of memory used in human rights activities defensoriais developed. The biggest benefit of creating the Center for Information Management and Intelligence is to provide the availability of information gained by the defenders in a structured way, to all persons interested in the topics defensoriais seized through legal experiences, conferences, training courses, seminars, workshops , Among others. The Center for Information Management and Intelligence of the DPE Library is an important way to efficiently connect "those who know" with those who "need to know" and converting personal knowledge into the organization's memory. For this, the proposal develops the collection, storage, management and dissemination of knowledge with a methodology based on models of the authors Nonaka and Takeuchi, with the help of teenagers "apprentices" in fulfillment of socio-educational measure the Mother City Foundation.

  5. Lyndon B. Johnson Space Center (JSC) proposed dual-use technology investment program in intelligent robots

    Science.gov (United States)

    Erikson, Jon D.

    1994-01-01

    This paper presents an overview of the proposed Lyndon B. Johnson Space Center (JSC) precompetitive, dual-use technology investment project in robotics. New robotic technology in advanced robots, which can recognize and respond to their environments and to spoken human supervision so as to perform a variety of combined mobility and manipulation tasks in various sectors, is an obejective of this work. In the U.S. economy, such robots offer the benefits of improved global competitiveness in a critical industrial sector; improved productivity by the end users of these robots; a growing robotics industry that produces jobs and profits; lower cost health care delivery with quality improvements; and, as these 'intelligent' robots become acceptable throughout society, an increase in the standard of living for everyone. In space, such robots will provide improved safety, reliability, and productivity as Space Station evolves, and will enable human space exploration (by human/robot teams). The proposed effort consists of partnerships between manufacturers, universities, and JSC to develop working production prototypes of these robots by leveraging current development by both sides. Currently targeted applications are in the manufacturing, health care, services, and construction sectors of the U.S. economy and in the inspection, servicing, maintenance, and repair aspects of space exploration. But the focus is on the generic software architecture and standardized interfaces for custom modules tailored for the various applications allowing end users to customize a robot as PC users customize PC's. Production prototypes would be completed in 5 years under this proposal.

  6. Systems analysis support to the waste management technology center

    International Nuclear Information System (INIS)

    Rivera, A.L.; Osborne-Lee, I.W.; DePaoli, S.M.

    1988-01-01

    This paper describes a systems analysis concept being developed in support of waste management planning and analysis activities for Martin Marietta Energy Systems, Inc. (Energy Systems), sites. This integrated systems model serves as a focus for the accumulation and documentation of technical and economic information from current waste management practices, improved operations projects, remedial actions, and new system development activities. The approach is generic and could be applied to a larger group of sites. This integrated model is a source of technical support to waste management groups in the Energy Systems complex for integrated waste management planning and related technology assessment activities. This problem-solving methodology for low-level waste (LLW) management is being developed through the Waste Management Technology Center (WMTC) for the Low-Level Waste Disposal, Development, and Demonstration (LLWDDD) Program. In support of long-range planning activities, this capability will include the development of management support tools such as specialized systems models, data bases, and information systems. These management support tools will provide continuing support in the identification and definition of technical and economic uncertainties to be addressed by technology demonstration programs. Technical planning activities and current efforts in the development of this system analysis capability for the LLWDDD Program are presented in this paper

  7. A constraint-based approach to intelligent support of nuclear reactor design

    International Nuclear Information System (INIS)

    Furuta, Kazuo

    1993-01-01

    Constraint is a powerful representation to formulate and solve problems in design; a constraint-based approach to intelligent support of nuclear reactor design is proposed. We first discuss the features of the approach, and then present the architecture of a nuclear reactor design support system under development. In this design support system, the knowledge base contains constraints useful to structure the design space as object class definitions, and several types of constraint resolvers are provided as design support subsystems. The adopted method of constraint resolution are explained in detail. The usefulness of the approach is demonstrated using two design problems: Design window search and multiobjective optimization in nuclear reactor design. (orig./HP)

  8. Analysis of suffering at work in Family Health Support Centers.

    Science.gov (United States)

    Nascimento, Débora Dupas Gonçalves do; Oliveira, Maria Amélia de Campos

    2016-01-01

    Analyzing the work process in the Family Health Support Center. An exploratory, descriptive case study using a qualitative approach. Focus groups were conducted with 20 workers of a Family Health Support Center, and the empirical material was subjected to content analysis technique and analyzed in light of Work Psychodynamics. The category of suffering is presented herein as arising from the dialectical contradiction between actual work and prescribed work, from resistance to the Family Health Support Center's proposal and a lack of understanding of their role; due to an immediatist and curative culture of the users and the Family Health Strategy; of the profile, overload and identification with work. The dialectical contradiction between expectations from Family Health Strategy teams and the work in the Family Health Support Center compromises its execution and creates suffering for workers. Analisar o processo de trabalho no Núcleo de Apoio à Saúde da Família. Estudo de caso exploratório, descritivo e de abordagem qualitativa. Grupos focais foram realizados com 20 trabalhadores do Núcleo de Apoio à Saúde da Família, o material empírico foi submetido à técnica de análise de conteúdo e analisado à luz da Psicodinâmica do Trabalho. Apresenta-se aqui a categoria sofrimento que neste estudo decorre da contradição dialética entre o trabalho real e o trabalho prescrito, da resistência à proposta do Núcleo de Apoio à Saúde da Família e da falta de compreensão de seu papel; da cultura imediatista e curativa do usuário e da Estratégia Saúde da Família; do perfil, sobrecarga e identificação com o trabalho. A contradição dialética entre expectativas das equipes da Estratégia Saúde da Família e o trabalho no Núcleo de Apoio à Saúde da Família compromete sua efetivação e gera sofrimento aos trabalhadores.

  9. Associations of Trait Emotional Intelligence with Social Support, Work Engagement, and Creativity in Japanese Eldercare Nurses

    OpenAIRE

    Toyama, Hiroyuki; Mauno, Saija

    2017-01-01

    Work-related resources can be positive antecedents of employee work engagement (WE) and creativity. Although trait emotional intelligence (EI) and social support may be crucial resources in nursing, their relationships with WE and creativity remain unclear. Hence, with special focus on the role of trait EI, we examined this relationship by applying the job demands-resources (JD-R) model. The participants were 489 eldercare nurses in Japan (female: n = 401; male: n = 88; age = 39.5 ± 11.0 year...

  10. A deep knowledge architecture for intelligent support of nuclear waste transportation decisions

    International Nuclear Information System (INIS)

    Batra, D.; Bowen, W.M.; Hill, T.R.; Weeks, K.D.

    1988-01-01

    The concept of intelligent decision support has been discussed and explored in several recent papers, one of which has suggested the use of a Deep Knowledge Architecture. This paper explores this concept through application to a specific decision environment. The complex problems involved in nuclear waste disposal decisions provide an excellent test case. The resulting architecture uses an integrated, multi-level model base to represent the deep knowledge of the problem. Combined with the surface level knowledge represented by the database, the proposed knowledge base complements that of the decision-maker, allowing analysis at a range of levels of decisions which may also occur at a range of levels

  11. She's supporting them; who's supporting her? Preschool center-level social-emotional supports and teacher well-being.

    Science.gov (United States)

    Zinsser, Katherine M; Christensen, Claire G; Torres, Luz

    2016-12-01

    Preschool teachers across the country have been charged to prepare children socially and emotionally for kindergarten. Teachers working in preschool centers are supporting children's social and emotional learning (SEL) within a rich ecology of emotion and social relationships and the present study considers how the supports implemented for children's SEL at the center-level are associated with teachers' psychological health and workplace experiences. Hierarchical linear models were constructed using data from the Head Start Family and Child Experiences Survey 2009 cohort. Results indicate that although teachers work in individual classrooms, they share common perceptions at the center-level of their workplace climate, access to support, and, although to a lesser extent, experience commonalities in psychological health and job satisfaction. Furthermore, in centers that had implemented more supports for children's SEL (including access to mental health consultants, classroom curriculum, and training and resources for teachers) teachers were less depressed, more satisfied with their jobs, felt more supported in managing challenging behavior, and viewed the workplace climate of their center as more positive. Findings are discussed in light of the national efforts to increase and retain a high-quality early childhood workforce. Copyright © 2016 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

  12. U.S. Ebola Treatment Center Clinical Laboratory Support.

    Science.gov (United States)

    Jelden, Katelyn C; Iwen, Peter C; Herstein, Jocelyn J; Biddinger, Paul D; Kraft, Colleen S; Saiman, Lisa; Smith, Philip W; Hewlett, Angela L; Gibbs, Shawn G; Lowe, John J

    2016-04-01

    Fifty-five hospitals in the United States have been designated Ebola treatment centers (ETCs) by their state and local health authorities. Designated ETCs must have appropriate plans to manage a patient with confirmed Ebola virus disease (EVD) for the full duration of illness and must have these plans assessed through a CDC site visit conducted by an interdisciplinary team of subject matter experts. This study determined the clinical laboratory capabilities of these ETCs. ETCs were electronically surveyed on clinical laboratory characteristics. Survey responses were returned from 47 ETCs (85%). Forty-one (87%) of the ETCs planned to provide some laboratory support (e.g., point-of-care [POC] testing) within the room of the isolated patient. Forty-four (94%) ETCs indicated that their hospital would also provide clinical laboratory support for patient care. Twenty-two (50%) of these ETC clinical laboratories had biosafety level 3 (BSL-3) containment. Of all respondents, 34 (72%) were supported by their jurisdictional public health laboratory (PHL), all of which had available BSL-3 laboratories. Overall, 40 of 44 (91%) ETCs reported BSL-3 laboratory support via their clinical laboratory and/or PHL. This survey provided a snapshot of the laboratory support for designated U.S. ETCs. ETCs have approached high-level isolation critical care with laboratory support in close proximity to the patient room and by distributing laboratory support among laboratory resources. Experts might review safety considerations for these laboratory testing/diagnostic activities that are novel in the context of biocontainment care. Copyright © 2016, American Society for Microbiology. All Rights Reserved.

  13. Providing Co-Curricular Support: A Multi-Case Study of Engineering Student Support Centers

    Science.gov (United States)

    Lee, Walter C., Jr.

    2015-01-01

    In response to the student retention and diversity issues that have been persistent in undergraduate engineering education, many colleges have developed Engineering Student Support Centers (ESSCs) such as Minority Engineering Programs (MEPs) and Women in Engineering Programs (WEPs). ESSCs provide underrepresented students with co-curricular…

  14. CIMIDx: Prototype for a Cloud-Based System to Support Intelligent Medical Image Diagnosis With Efficiency.

    Science.gov (United States)

    Bhavani, Selvaraj Rani; Senthilkumar, Jagatheesan; Chilambuchelvan, Arul Gnanaprakasam; Manjula, Dhanabalachandran; Krishnamoorthy, Ramasamy; Kannan, Arputharaj

    2015-03-27

    The Internet has greatly enhanced health care, helping patients stay up-to-date on medical issues and general knowledge. Many cancer patients use the Internet for cancer diagnosis and related information. Recently, cloud computing has emerged as a new way of delivering health services but currently, there is no generic and fully automated cloud-based self-management intervention for breast cancer patients, as practical guidelines are lacking. We investigated the prevalence and predictors of cloud use for medical diagnosis among women with breast cancer to gain insight into meaningful usage parameters to evaluate the use of generic, fully automated cloud-based self-intervention, by assessing how breast cancer survivors use a generic self-management model. The goal of this study was implemented and evaluated with a new prototype called "CIMIDx", based on representative association rules that support the diagnosis of medical images (mammograms). The proposed Cloud-Based System Support Intelligent Medical Image Diagnosis (CIMIDx) prototype includes two modules. The first is the design and development of the CIMIDx training and test cloud services. Deployed in the cloud, the prototype can be used for diagnosis and screening mammography by assessing the cancers detected, tumor sizes, histology, and stage of classification accuracy. To analyze the prototype's classification accuracy, we conducted an experiment with data provided by clients. Second, by monitoring cloud server requests, the CIMIDx usage statistics were recorded for the cloud-based self-intervention groups. We conducted an evaluation of the CIMIDx cloud service usage, in which browsing functionalities were evaluated from the end-user's perspective. We performed several experiments to validate the CIMIDx prototype for breast health issues. The first set of experiments evaluated the diagnostic performance of the CIMIDx framework. We collected medical information from 150 breast cancer survivors from hospitals

  15. Supporting Multiple Programs and Projects at NASA's Kennedy Space Center

    Science.gov (United States)

    Stewart, Camiren L.

    2014-01-01

    With the conclusion of the shuttle program in 2011, the National Aeronautics and Space Administration (NASA) had found itself at a crossroads for finding transportation of United States astronauts and experiments to space. The agency would eventually hand off the taxiing of American astronauts to the International Space Station (ISS) that orbits in Low Earth Orbit (LEO) about 210 miles above the earth under the requirements of the Commercial Crew Program (CCP). By privatizing the round trip journey from Earth to the ISS, the space agency has been given the additional time to focus funding and resources to projects that operate beyond LEO; however, adding even more stress to the agency, the premature cancellation of the program that would succeed the Shuttle Program - The Constellation Program (CxP) -it would inevitably delay the goal to travel beyond LEO for a number of years. Enter the Space Launch System (SLS) and the Orion Multipurpose Crew Vehicle (MPCV). Currently, the SLS is under development at NASA's Marshall Spaceflight Center in Huntsville, Alabama, while the Orion Capsule, built by government contractor Lockheed Martin Corporation, has been assembled and is currently under testing at the Kennedy Space Center (KSC) in Florida. In its current vision, SLS will take Orion and its crew to an asteroid that had been captured in an earlier mission in lunar orbit. Additionally, this vehicle and its configuration is NASA's transportation to Mars. Engineers at the Kennedy Space Center are currently working to test the ground systems that will facilitate the launch of Orion and the SLS within its Ground Services Development and Operations (GSDO) Program. Firing Room 1 in the Launch Control Center (LCC) has been refurbished and outfitted to support the SLS Program. In addition, the Spaceport Command and Control System (SCCS) is the underlying control system for monitoring and launching manned launch vehicles. As NASA finds itself at a junction, so does all of its

  16. Combination of artificial intelligence and procedural language programs in a computer application system supporting nuclear reactor operations

    International Nuclear Information System (INIS)

    Town, G.G.; Stratton, R.C.

    1985-01-01

    A computer application system is described which provides nuclear reactor power plant operators with an improved decision support system. This system combines traditional computer applications such as graphics display with artificial intelligence methodologies such as reasoning and diagnosis so as to improve plant operability. This paper discusses the issues, and a solution, involved with the system integration of applications developed using traditional and artificial intelligence languages

  17. Combination of artificial intelligence and procedural language programs in a computer application system supporting nuclear reactor operations

    International Nuclear Information System (INIS)

    Stratton, R.C.; Town, G.G.

    1985-01-01

    A computer application system is described which provides nuclear reactor power plant operators with an improved decision support system. This system combines traditional computer applications such as graphics display with artifical intelligence methodologies such as reasoning and diagnosis so as to improve plant operability. This paper discusses the issues, and a solution, involved with the system integration of applications developed using traditional and artificial intelligence languages

  18. The effectiveness of staff training focused on increasing emotional intelligence and improving interaction between support staff and clients.

    Science.gov (United States)

    Zijlmans, L J M; Embregts, P J C M; Gerits, L; Bosman, A M T; Derksen, J J L

    2015-07-01

    Recent research addressed the relationship between staff behaviour and challenging behaviour of individuals with an intellectual disability (ID). Consequently, research on interventions aimed at staff is warranted. The present study focused on the effectiveness of a staff training aimed at emotional intelligence and interactions between staff and clients. The effects of the training on emotional intelligence, coping style and emotions of support staff were investigated. Participants were 214 support staff working within residential settings for individuals with ID and challenging behaviour. The experimental group consisted of 76 staff members, 138 staff members participated in two different control groups. A pre-test, post-test, follow-up control group design was used. Effectiveness was assessed using questionnaires addressing emotional intelligence, coping and emotions. Emotional intelligence of the experimental group changed significantly more than that of the two control groups. The experimental group showed an increase in task-oriented coping, whereas one control group did not. The results with regard to emotions were mixed. Follow-up data revealed that effects within the experimental group were still present four months after the training ended. A staff training aimed at emotional intelligence and staff-client interactions is effective in improving emotional intelligence and coping styles of support staff. However, the need for more research aiming at the relationship between staff characteristics, organisational factors and their mediating role in the effectiveness of staff training is emphasised. © 2014 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd.

  19. Hybrid Intelligent Control Method to Improve the Frequency Support Capability of Wind Energy Conversion Systems

    Directory of Open Access Journals (Sweden)

    Shin Young Heo

    2015-10-01

    Full Text Available This paper presents a hybrid intelligent control method that enables frequency support control for permanent magnet synchronous generators (PMSGs wind turbines. The proposed method for a wind energy conversion system (WECS is designed to have PMSG modeling and full-scale back-to-back insulated-gate bipolar transistor (IGBT converters comprising the machine and grid side. The controller of the machine side converter (MSC and the grid side converter (GSC are designed to achieve maximum power point tracking (MPPT based on an improved hill climb searching (IHCS control algorithm and de-loaded (DL operation to obtain a power margin. Along with this comprehensive control of maximum power tracking mode based on the IHCS, a method for kinetic energy (KE discharge control of the supporting primary frequency control scheme with DL operation is developed to regulate the short-term frequency response and maintain reliable operation of the power system. The effectiveness of the hybrid intelligent control method is verified by a numerical simulation in PSCAD/EMTDC. Simulation results show that the proposed approach can improve the frequency regulation capability in the power system.

  20. Intelligent Decision Support in Proportional–Stop-Loss Reinsurance Using Multiple Attribute Decision-Making (MADM

    Directory of Open Access Journals (Sweden)

    Shirley Jie Xuan Wang

    2017-11-01

    Full Text Available This article addresses the possibility of incorporating intelligent decision support systems into reinsurance decision-making. This involves the insurance company and the reinsurance company, and is negotiated through reinsurance intermediaries. The article proposes a decision flow to model the reinsurance design and selection process. This article focuses on adopting more than one optimality criteria under a more generic combinational design of commonly used reinsurance products, i.e., proportional reinsurance and stop-loss reinsurance. In terms of methodology, the significant contribution of the study the incorporation of the well-established decision analysis tool multiple-attribute decision-making (MADM into the modelling of reinsurance selection. To illustrate the feasibility of incorporating intelligent decision supporting systems in the reinsurance market, the study includes a numerical case study using the simulation software @Risk in modeling insurance claims, as well as programming in MATLAB to realize MADM. A list of managerial implications could be drawn from the case study results. Most importantly, when choosing the most appropriate type of reinsurance, insurance companies should base their decisions on multiple measurements instead of single-criteria decision-making models so that their decisions may be more robust.

  1. MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring

    Science.gov (United States)

    Saeed, M.; Lieu, C.; Raber, G.; Mark, R. G.

    2002-01-01

    Development and evaluation of Intensive Care Unit (ICU) decision-support systems would be greatly facilitated by the availability of a large-scale ICU patient database. Following our previous efforts with the MIMIC (Multi-parameter Intelligent Monitoring for Intensive Care) Database, we have leveraged advances in networking and storage technologies to develop a far more massive temporal database, MIMIC II. MIMIC II is an ongoing effort: data is continuously and prospectively archived from all ICU patients in our hospital. MIMIC II now consists of over 800 ICU patient records including over 120 gigabytes of data and is growing. A customized archiving system was used to store continuously up to four waveforms and 30 different parameters from ICU patient monitors. An integrated user-friendly relational database was developed for browsing of patients' clinical information (lab results, fluid balance, medications, nurses' progress notes). Based upon its unprecedented size and scope, MIMIC II will prove to be an important resource for intelligent patient monitoring research, and will support efforts in medical data mining and knowledge-discovery.

  2. Competitive Intelligence.

    Science.gov (United States)

    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…

  3. Study on the supporting system for intelligent activities in operation and maintenance

    International Nuclear Information System (INIS)

    Tanabe, Fumiya

    1996-01-01

    An investigation to find specific factors and how to cope psychologically with abnormal situations was made aiming at a construction of a supporting concept for intelligent responses. An experimental study on the relationship between the ideal man machine interface and operators' cognitive response way was made using the conventional simulator for a ship-propulsion reactor to improve the environment of user's interface. And the preparation and installing of simulation interfaces have been almost completed and the setting of equipments to make data is in progress. Concerning the supporting system for analyzing experimental data, the processing speed of the first version which has been developed in Japan Atomic Energy Research Institute was improved by modifying the program. (M.N.)

  4. Diversity and consensus as key concepts for design of intelligent operator support system

    International Nuclear Information System (INIS)

    Kitamura, M.; Furukawa, H.; Sakuma, M.; Washio, T.

    2004-01-01

    A general framework and guiding principles for development of intelligent operator support system in nuclear plants are proposed in this paper. The main principle is to provide advisory information to the operators through consensus of multiple agents each of which can conduct operational decision- making by focusing on mutually dissimilar symptoms obtained from the plant. The applicability and credibility of the operator support system are expected to be significantly improved by implementing the proposed scheme. An efficient procedure for diversifying the symptom descriptions was developed together with a method for autonomous consensus formation among the agents. A prototype system was developed for the subtask of fault diagnosis by emulating multiple neural networks as the diagnostic agents. The advantage of the proposed methodology over the conventional ones was clearly demonstrated through numerical evaluations simulating anomalies in a pressurized water reactor. (author)

  5. Managing Sustainability with the Support of Business Intelligence Methods and Tools

    Science.gov (United States)

    Petrini, Maira; Pozzebon, Marlei

    In this paper we explore the role of business intelligence (BI) in helping to support the management of sustainability in contemporary firms. The concepts of sustainability and corporate social responsibility (CSR) are among the most important themes to have emerged in the last decade at the global level. We suggest that BI methods and tools have an important but not yet well studied role to play in helping organizations implement and monitor sustainable and socially responsible business practices. Using grounded theory, the main contribution of our study is to propose a conceptual model that seeks to support the process of definition and monitoring of socio-environmental indicators and the relationship between their management and business strategy.

  6. Supporting the personnel reliability decision-making process with artificial intelligence

    International Nuclear Information System (INIS)

    Harte, D.C.

    1991-01-01

    Recent legislation concerning personnel security has vastly increased the responsibility and accountability of the security manager. Access authorization, fitness for duty, and personnel security access programs require decisions regarding an individual's trustworthiness and reliability based on the findings of a background investigation. While these guidelines provide significant data and are useful as a tool, limited resources are available to the adjudicator of derogatory information on what is and is not acceptable in terms of granting access to sensitive areas of nuclear plants. The reason why one individual is deemed unacceptable and the next acceptable may be questioned and cause discriminatory accusations. This paper is continuation of discussion on workforce reliability, focusing on the use of artificial intelligence to support the decisions of a security manager. With this support, the benefit of previous decisions helps ensure consistent adjudication of background investigations

  7. Digital Technologies Supporting Person-Centered Integrated Care - A Perspective.

    Science.gov (United States)

    Øvretveit, John

    2017-09-25

    Shared electronic health and social care records in some service systems are already showing some of the benefits of digital technology and digital data for integrating health and social care. These records are one example of the beginning "digitalisation" of services that gives a glimpse of the potential of digital technology and systems for building coordinated and individualized integrated care. Yet the promise has been greater than the benefits, and progress has been slow compared to other industries. This paper describes for non-technical readers how information technology was used to support integrated care schemes in six EU services, and suggests practical ways forward to use the new opportunities to build person-centered integrated care.

  8. Optimal Design of a Center Support Quadruple Mass Gyroscope (CSQMG

    Directory of Open Access Journals (Sweden)

    Tian Zhang

    2016-04-01

    Full Text Available This paper reports a more complete description of the design process of the Center Support Quadruple Mass Gyroscope (CSQMG, a gyro expected to provide breakthrough performance for flat structures. The operation of the CSQMG is based on four lumped masses in a circumferential symmetric distribution, oscillating in anti-phase motion, and providing differential signal extraction. With its 4-fold symmetrical axes pattern, the CSQMG achieves a similar operation mode to Hemispherical Resonant Gyroscopes (HRGs. Compared to the conventional flat design, four Y-shaped coupling beams are used in this new pattern in order to adjust mode distribution and enhance the synchronization mechanism of operation modes. For the purpose of obtaining the optimal design of the CSQMG, a kind of applicative optimization flow is developed with a comprehensive derivation of the operation mode coordination, the pseudo mode inhibition, and the lumped mass twisting motion elimination. The experimental characterization of the CSQMG was performed at room temperature, and the center operation frequency is 6.8 kHz after tuning. Experiments show an Allan variance stability 0.12°/h (@100 s and a white noise level about 0.72°/h/√Hz, which means that the CSQMG possesses great potential to achieve navigation grade performance.

  9. Conference Support - Surgery in Extreme Environments - Center for Surgical Innovation

    Science.gov (United States)

    2007-01-01

    technology accelerator. Lunar capability concerns include (1) optimization of safety, habitability, and biomechanics ; (2) clinical infrastructure, limited... remove the tissue from the animals, we would then immerse them, fixating the tissues as well. A couple of interesting things though were strange. We had...cellular surgery, new surgical tools, intelligent prosthesis , tissue engineering, and suspended animation. Each of these concepts has a potential for

  10. Virtual Reality for Artificial Intelligence: human-centered simulation for social science.

    Science.gov (United States)

    Cipresso, Pietro; Riva, Giuseppe

    2015-01-01

    There is a long last tradition in Artificial Intelligence as use of Robots endowing human peculiarities, from a cognitive and emotional point of view, and not only in shape. Today Artificial Intelligence is more oriented to several form of collective intelligence, also building robot simulators (hardware or software) to deeply understand collective behaviors in human beings and society as a whole. Modeling has also been crucial in the social sciences, to understand how complex systems can arise from simple rules. However, while engineers' simulations can be performed in the physical world using robots, for social scientist this is impossible. For decades, researchers tried to improve simulations by endowing artificial agents with simple and complex rules that emulated human behavior also by using artificial intelligence (AI). To include human beings and their real intelligence within artificial societies is now the big challenge. We present an hybrid (human-artificial) platform where experiments can be performed by simulated artificial worlds in the following manner: 1) agents' behaviors are regulated by the behaviors shown in Virtual Reality involving real human beings exposed to specific situations to simulate, and 2) technology transfers these rules into the artificial world. These form a closed-loop of real behaviors inserted into artificial agents, which can be used to study real society.

  11. Engineering and management of IT-based service systems an intelligent decision-making support systems approach

    CERN Document Server

    Gomez, Jorge; Garrido, Leonardo; Perez, Francisco

    2014-01-01

    Intelligent Decision-Making Support Systems (i-DMSS) are specialized IT-based systems that support some or several phases of the individual, team, organizational or inter-organizational decision making process by deploying some or several intelligent mechanisms. This book pursues the following academic aims: (i) generate a compendium of quality theoretical and applied contributions in Intelligent Decision-Making Support Systems (i-DMSS) for engineering and management IT-based service systems (ITSS); (ii)  diffuse scarce knowledge about foundations, architectures and effective and efficient methods and strategies for successfully planning, designing, building, operating, and evaluating i-DMSS for ITSS, and (iii) create an awareness of, and a bridge between ITSS and i-DMSS academicians and practitioners in the current complex and dynamic engineering and management ITSS organizational. The book presents a collection of 11 chapters referring to relevant topics for both IT service systems and i-DMSS including: pr...

  12. Providing Evidence-Based, Intelligent Support for Flood Resilient Planning and Policy: The PEARL Knowledge Base

    Directory of Open Access Journals (Sweden)

    George Karavokiros

    2016-09-01

    Full Text Available While flood risk is evolving as one of the most imminent natural hazards and the shift from a reactive decision environment to a proactive one sets the basis of the latest thinking in flood management, the need to equip decision makers with necessary tools to think about and intelligently select options and strategies for flood management is becoming ever more pressing. Within this context, the Preparing for Extreme and Rare Events in Coastal Regions (PEARL intelligent knowledge-base (PEARL KB of resilience strategies is presented here as an environment that allows end-users to navigate from their observed problem to a selection of possible options and interventions worth considering within an intuitive visual web interface assisting advanced interactivity. Incorporation of real case studies within the PEARL KB enables the extraction of (evidence-based lessons from all over the word, while the KB’s collection of methods and tools directly supports the optimal selection of suitable interventions. The Knowledge-Base also gives access to the PEARL KB Flood Resilience Index (FRI tool, which is an online tool for resilience assessment at a city level available to authorities and citizens. We argue that the PEARL KB equips authorities with tangible and operational tools that can improve strategic and operational flood risk management by assessing and eventually increasing resilience, while building towards the strengthening of risk governance. The online tools that the PEARL KB gives access to were demonstrated and tested in the city of Rethymno, Greece.

  13. Distributed sensor architecture for intelligent control that supports quality of control and quality of service.

    Science.gov (United States)

    Poza-Lujan, Jose-Luis; Posadas-Yagüe, Juan-Luis; Simó-Ten, José-Enrique; Simarro, Raúl; Benet, Ginés

    2015-02-25

    This paper is part of a study of intelligent architectures for distributed control and communications systems. The study focuses on optimizing control systems by evaluating the performance of middleware through quality of service (QoS) parameters and the optimization of control using Quality of Control (QoC) parameters. The main aim of this work is to study, design, develop, and evaluate a distributed control architecture based on the Data-Distribution Service for Real-Time Systems (DDS) communication standard as proposed by the Object Management Group (OMG). As a result of the study, an architecture called Frame-Sensor-Adapter to Control (FSACtrl) has been developed. FSACtrl provides a model to implement an intelligent distributed Event-Based Control (EBC) system with support to measure QoS and QoC parameters. The novelty consists of using, simultaneously, the measured QoS and QoC parameters to make decisions about the control action with a new method called Event Based Quality Integral Cycle. To validate the architecture, the first five Braitenberg vehicles have been implemented using the FSACtrl architecture. The experimental outcomes, demonstrate the convenience of using jointly QoS and QoC parameters in distributed control systems.

  14. Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service

    Directory of Open Access Journals (Sweden)

    Jose-Luis Poza-Lujan

    2015-02-01

    Full Text Available This paper is part of a study of intelligent architectures for distributed control and communications systems. The study focuses on optimizing control systems by evaluating the performance of middleware through quality of service (QoS parameters and the optimization of control using Quality of Control (QoC parameters. The main aim of this work is to study, design, develop, and evaluate a distributed control architecture based on the Data-Distribution Service for Real-Time Systems (DDS communication standard as proposed by the Object Management Group (OMG. As a result of the study, an architecture called Frame-Sensor-Adapter to Control (FSACtrl has been developed. FSACtrl provides a model to implement an intelligent distributed Event-Based Control (EBC system with support to measure QoS and QoC parameters. The novelty consists of using, simultaneously, the measured QoS and QoC parameters to make decisions about the control action with a new method called Event Based Quality Integral Cycle. To validate the architecture, the first five Braitenberg vehicles have been implemented using the FSACtrl architecture. The experimental outcomes, demonstrate the convenience of using jointly QoS and QoC parameters in distributed control systems.

  15. Decision Support System Based on Computational Collective Intelligence in Campus Information Systems

    Science.gov (United States)

    Saito, Yoshihito; Matsuo, Tokuro

    Education institutions such as universities have a lot of information including book information, equipment administrative information, student information, and several others. The institutions also have multiple information in time series. As collective intelligence in campus, integrating and reusing these preserved information regarding career and taking a class, university can effectively support students' decision making of their getting jobs and subjects choice. Our purpose of support is to increase student's motivation. In this paper, we focus on course record and job information included in students' information, and propose the method to analyze correlation between a pattern of taking class and job lined up. Afterwards, we propose a support system regarding getting a job and taking class by using our proposed method. For a student who has his/her favorite job to get, the system supports his/her decision making of lecture choice by recommending a set of appropriate lecture groups. On another hand, for a student who does not have favorite job to get, the system supports his/her decision making of getting job by presenting appropriate job families related with lecture group in which he/she has ever taken. The contribution of this paper is showing a concrete method to reuse the campus collective information, implementing a system, and user perspectives.

  16. Centered Differential Waveform Inversion with Minimum Support Regularization

    KAUST Repository

    Kazei, Vladimir

    2017-05-26

    Time-lapse full-waveform inversion has two major challenges. The first one is the reconstruction of a reference model (baseline model for most of approaches). The second is inversion for the time-lapse changes in the parameters. Common model approach is utilizing the information contained in all available data sets to build a better reference model for time lapse inversion. Differential (Double-difference) waveform inversion allows to reduce the artifacts introduced into estimates of time-lapse parameter changes by imperfect inversion for the baseline-reference model. We propose centered differential waveform inversion (CDWI) which combines these two approaches in order to benefit from both of their features. We apply minimum support regularization commonly used with electromagnetic methods of geophysical exploration. We test the CDWI method on synthetic dataset with random noise and show that, with Minimum support regularization, it provides better resolution of velocity changes than with total variation and Tikhonov regularizations in time-lapse full-waveform inversion.

  17. IHY Modeling Support at the Community Coordinated Modeling Center

    Science.gov (United States)

    Chulaki, A.; Hesse, Michael; Kuznetsova, Masha; MacNeice, P.; Rastaetter, L.

    2005-01-01

    The Community Coordinated Modeling Center (CCMC) is a US inter-agency activity aiming at research in support of the generation of advanced space weather models. As one of its main functions, the CCMC provides to researchers the use of space science models, even if they are not model owners themselves. In particular, the CCMC provides to the research community the execution of "runs-onrequest" for specific events of interest to space science researchers. Through this activity and the concurrent development of advanced visualization tools, CCMC provides, to the general science community, unprecedented access to a large number of state-of-the-art research models. CCMC houses models that cover the entire domain from the Sun to the Earth. In this presentation, we will provide an overview of CCMC modeling services that are available to support activities during the International Heliospheric Year. In order to tailor CCMC activities to IHY needs, we will also invite community input into our IHY planning activities.

  18. Artificial Intelligence (AI), Operations Research (OR), and Decision Support Systems (DSS): A conceptual framework

    Science.gov (United States)

    Parnell, Gregory S.; Rowell, William F.; Valusek, John R.

    1987-01-01

    In recent years there has been increasing interest in applying the computer based problem solving techniques of Artificial Intelligence (AI), Operations Research (OR), and Decision Support Systems (DSS) to analyze extremely complex problems. A conceptual framework is developed for successfully integrating these three techniques. First, the fields of AI, OR, and DSS are defined and the relationships among the three fields are explored. Next, a comprehensive adaptive design methodology for AI and OR modeling within the context of a DSS is described. These observations are made: (1) the solution of extremely complex knowledge problems with ill-defined, changing requirements can benefit greatly from the use of the adaptive design process, (2) the field of DSS provides the focus on the decision making process essential for tailoring solutions to these complex problems, (3) the characteristics of AI, OR, and DSS tools appears to be converging rapidly, and (4) there is a growing need for an interdisciplinary AI/OR/DSS education.

  19. Cognitive Tutoring based on Intelligent Decision Support in the PENTHA Instructional Design Model

    Science.gov (United States)

    dall'Acqua, Luisa

    2010-06-01

    The research finality of this paper is how to support Authors to develop rule driven—subject oriented, adaptable course content, meta-rules—representing the disciplinary epistemology, model of teaching, Learning Path structure, and assessment parameters—for intelligent Tutoring actions in a personalized, adaptive e-Learning environment. The focus is to instruct the student to be a decision manager for himself, able to recognize the elements of a problem, select the necessary information with the perspective of factual choices. In particular, our research intends to provide some fundamental guidelines for the definition of didactical rules and logical relations, that Authors should provide to a cognitive Tutoring system through the use of an Instructional Design method (PENTHA Model) which proposes an educational environment, able to: increase productivity and operability, create conditions for a cooperative dialogue, developing participatory research activities of knowledge, observations and discoveries, customizing the learning design in a complex and holistic vision of the learning / teaching processes.

  20. Argumentative SOX Compliant and Quality Decision Support Intelligent Expert System over the Suppliers Selection Process

    Directory of Open Access Journals (Sweden)

    Jesus Angel Fernandez Canelas

    2013-01-01

    Full Text Available The objective of this paper is to define a decision support system over SOX (Sarbanes-Oxley Act compatibility and quality of the Suppliers Selection Process based on Artificial Intelligence and Argumentation Theory knowledge and techniques. The present SOX Law, in effect nowadays, was created to improve financial government control over US companies. This law is a factor standard out United States due to several factors like present globalization, expansion of US companies, or key influence of US stock exchange markets worldwide. This paper constitutes a novel approach to this kind of problems due to following elements: (1 it has an optimized structure to look for the solution, (2 it has a dynamic learning method to handle court and control gonvernment bodies decisions, (3 it uses fuzzy knowledge to improve its performance, and (4 it uses its past accumulated experience to let the system evolve far beyond its initial state.

  1. Towards artificial intelligence based diesel engine performance control under varying operating conditions using support vector regression

    Directory of Open Access Journals (Sweden)

    Naradasu Kumar Ravi

    2013-01-01

    Full Text Available Diesel engine designers are constantly on the look-out for performance enhancement through efficient control of operating parameters. In this paper, the concept of an intelligent engine control system is proposed that seeks to ensure optimized performance under varying operating conditions. The concept is based on arriving at the optimum engine operating parameters to ensure the desired output in terms of efficiency. In addition, a Support Vector Machines based prediction model has been developed to predict the engine performance under varying operating conditions. Experiments were carried out at varying loads, compression ratios and amounts of exhaust gas recirculation using a variable compression ratio diesel engine for data acquisition. It was observed that the SVM model was able to predict the engine performance accurately.

  2. Uncertainty management, spatial and temporal reasoning, and validation of intelligent environmental decision support systems

    Science.gov (United States)

    Sànchez-Marrè, Miquel; Gilbert, Karina; Sojda, Rick S.; Steyer, Jean Philippe; Struss, Peter; Rodríguez-Roda, Ignasi; Voinov, A.A.; Jakeman, A.J.; Rizzoli, A.E.

    2006-01-01

    There are inherent open problems arising when developing and running Intelligent Environmental Decision Support Systems (IEDSS). During daily operation of IEDSS several open challenge problems appear. The uncertainty of data being processed is intrinsic to the environmental system, which is being monitored by several on-line sensors and off-line data. Thus, anomalous data values at data gathering level or even uncertain reasoning process at later levels such as in diagnosis or decision support or planning can lead the environmental process to unsafe critical operation states. At diagnosis level or even at decision support level or planning level, spatial reasoning or temporal reasoning or both aspects can influence the reasoning processes undertaken by the IEDSS. Most of Environmental systems must take into account the spatial relationships between the environmental goal area and the nearby environmental areas and the temporal relationships between the current state and the past states of the environmental system to state accurate and reliable assertions to be used within the diagnosis process or decision support process or planning process. Finally, a related issue is a crucial point: are really reliable and safe the decisions proposed by the IEDSS? Are we sure about the goodness and performance of proposed solutions? How can we ensure a correct evaluation of the IEDSS? Main goal of this paper is to analyse these four issues, review some possible approaches and techniques to cope with them, and study new trends for future research within the IEDSS field.

  3. Fleet Numerical Meteorology and Oceanography Center support for GODAE

    Science.gov (United States)

    Dimitriou, D.; Sharfstein, P.; Ignaszewski, M.; Clancy, M.

    2003-04-01

    The U.S. Navy's Fleet Numerical Meteorology and Oceanography Center (FNMOC; see http://www.fnmoc.navy.mil/), located in Monterey, CA, is the lead activity within the U.S. Department of Defense (DoD) for numerical weather prediction and coupled air-sea modeling. FNMOC fulfills this role through means of a suite of sophisticated global and regional meteorological and oceanographic (METOC) models, extending from the top of the atmosphere to the bottom of the ocean, which is supported by one of the world's most complete real-time METOC databases. Fleet Numerical operates around-the-clock, 365 days per year and distributes METOC products to military and civilian users around the world, both ashore and afloat, through a variety of means, including a rapidly growing and innovative use of Web technology. FNMOC's customers include all branches of the Department of Defense (DoD), other government organizations such as the National Weather Service, private companies such as the Weather Channel, a number of colleges and universities, and the general public. FNMOC acquires and processes over 6 million METOC observations per day—creating one of the world's most comprehensive real-time databases of meteorological and oceanographic observations for assimilation into its models. FNMOC employs three primary models, the Navy Operational Global Atmospheric Prediction System (NOGAPS), the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS), and the WaveWatch III model (WW3), along with a number of specialized models and related applications. NOGAPS is a global weather model, driving nearly all other FNMOC models and applications in some fashion. COAMPS is a high-resolution regional model that has proved to be particularly valuable for forecasting weather and ocean conditions in highly complex coastal areas. WW3 is a state-of-the-art ocean wave model that is employed both globally and regionally in support of a wide variety of naval operations. Specialized models support and

  4. Joint Intelligence Operations Center (JIOC) Baseline Business Process Model & Capabilities Evaluation Methodology

    Science.gov (United States)

    2012-03-01

    Targeting Review Board OPLAN Operations Plan OPORD Operations Order OPSIT Operational Situation OSINT Open Source Intelligence OV...Analysis Evaluate FLTREPs MISREPs Unit Assign Assets Feedback Asset Shortfalls Multi-Int Collection Political & Embasy Law Enforcement HUMINT OSINT ...Embassy Information OSINT Manage Theater HUMINT Law Enforcement Collection Sort Requests Platform Information Agency Information M-I Collect

  5. The potential for intelligent decision support systems to improve the quality and consistency of medication reviews.

    Science.gov (United States)

    Bindoff, I; Stafford, A; Peterson, G; Kang, B H; Tenni, P

    2012-08-01

    Drug-related problems (DRPs) are of serious concern worldwide, particularly for the elderly who often take many medications simultaneously. Medication reviews have been demonstrated to improve medication usage, leading to reductions in DRPs and potential savings in healthcare costs. However, medication reviews are not always of a consistently high standard, and there is often room for improvement in the quality of their findings. Our aim was to produce computerized intelligent decision support software that can improve the consistency and quality of medication review reports, by helping to ensure that DRPs relevant to a patient are overlooked less frequently. A system that largely achieved this goal was previously published, but refinements have been made. This paper examines the results of both the earlier and newer systems. Two prototype multiple-classification ripple-down rules medication review systems were built, the second being a refinement of the first. Each of the systems was trained incrementally using a human medication review expert. The resultant knowledge bases were analysed and compared, showing factors such as accuracy, time taken to train, and potential errors avoided. The two systems performed well, achieving accuracies of approximately 80% and 90%, after being trained on only a small number of cases (126 and 244 cases, respectively). Through analysis of the available data, it was estimated that without the system intervening, the expert training the first prototype would have missed approximately 36% of potentially relevant DRPs, and the second 43%. However, the system appeared to prevent the majority of these potential expert errors by correctly identifying the DRPs for them, leaving only an estimated 8% error rate for the first expert and 4% for the second. These intelligent decision support systems have shown a clear potential to substantially improve the quality and consistency of medication reviews, which should in turn translate into

  6. An Automated and Intelligent Medical Decision Support System for Brain MRI Scans Classification.

    Directory of Open Access Journals (Sweden)

    Muhammad Faisal Siddiqui

    Full Text Available A wide interest has been observed in the medical health care applications that interpret neuroimaging scans by machine learning systems. This research proposes an intelligent, automatic, accurate, and robust classification technique to classify the human brain magnetic resonance image (MRI as normal or abnormal, to cater down the human error during identifying the diseases in brain MRIs. In this study, fast discrete wavelet transform (DWT, principal component analysis (PCA, and least squares support vector machine (LS-SVM are used as basic components. Firstly, fast DWT is employed to extract the salient features of brain MRI, followed by PCA, which reduces the dimensions of the features. These reduced feature vectors also shrink the memory storage consumption by 99.5%. At last, an advanced classification technique based on LS-SVM is applied to brain MR image classification using reduced features. For improving the efficiency, LS-SVM is used with non-linear radial basis function (RBF kernel. The proposed algorithm intelligently determines the optimized values of the hyper-parameters of the RBF kernel and also applied k-fold stratified cross validation to enhance the generalization of the system. The method was tested by 340 patients' benchmark datasets of T1-weighted and T2-weighted scans. From the analysis of experimental results and performance comparisons, it is observed that the proposed medical decision support system outperformed all other modern classifiers and achieves 100% accuracy rate (specificity/sensitivity 100%/100%. Furthermore, in terms of computation time, the proposed technique is significantly faster than the recent well-known methods, and it improves the efficiency by 71%, 3%, and 4% on feature extraction stage, feature reduction stage, and classification stage, respectively. These results indicate that the proposed well-trained machine learning system has the potential to make accurate predictions about brain abnormalities

  7. Directory of Federally Supported Information Analysis Centers, 1979. Fourth Edition.

    Science.gov (United States)

    1979-01-01

    Information Center (UERPIC) ........ 69 107. Water Resources Center .................................... ......... . 69 108. X-Ray and Ionizing Radiation Data...evaluates this material economics; conservation of minerals; water , to determine the most reliable data on for- power, transportation, manpower, etc...Clearinghouse for Poison Control Centers (mon- mining company annual reports to stockholder,.; thly). data bases, including the minerals Availabilit

  8. Effects of multiple intelligences supported project-based learning on students’ achievement levels and attitudes towards English lesson

    Directory of Open Access Journals (Sweden)

    Gökhan BAŞ

    2010-07-01

    Full Text Available The aim of the research was to investigate the effects of multiple intelligences supported project-based learning and traditional foreign language-teaching environment on students' achievement and their attitude towards English lesson. The research was carried out in 2009 – 2010 education-instruction year in Karatli Sehit Sahin Yilmaz Elementary School, Nigde, Turkey. Totally 50 students in two different classes in the 5th grade of this school participated in the study. The results of the research showed a significant difference between the attitude scores of the experiment group and the control group. It was also found out that the multiple intelligences approach activities were more effective in thepositive development of the students’ attitudes. At the end of the research, it is revealed that the students who are educated by multiple intelligences supported project-based learning method are more successful and have a higher motivation level than the studentswho are educated by the traditional instructional methods.

  9. Intelligent Tutor

    Science.gov (United States)

    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.

  10. A Vision for the Future of Environmental Research: Creating Environmental Intelligence Centers

    Science.gov (United States)

    Barron, E. J.

    2002-12-01

    being in the context of global, national and regional stewardship. These societal needs lead to a vision that uses a regional framework as a stepping-stone to a comprehensive national or global capability. The development of a comprehensive regional framework depends on a new approach to environmental research - the creation of regional Environmental Intelligence Centers. A key objective is to bring a demanding level of discipline to "forecasting" in a broad arena of environmental issues. The regional vision described above is designed to address a broad range of current and future environmental issues by creating a capability based on integrating diverse observing systems, making data readily accessible, developing an increasingly comprehensive predictive capability at the spatial and temporal scales appropriate for examining societal issues, and creating a vigorous intersection with decision-makers. With demonstrated success over a few large-scale regions of the U.S., this strategy will very likely grow into a national capability that far exceeds current capabilities.

  11. Emotional intelligence, emotions, and feelings of support staff working with clients with intellectual disabilities and challenging behavior: an exploratory study.

    Science.gov (United States)

    Zijlmans, Linda J M; Embregts, Petri J C M; Bosman, Anna M T

    2013-11-01

    Working with clients who show challenging behavior can be emotionally demanding and stressful for support staff, because this behavior may cause a range of negative emotional reactions and feelings. These reactions are of negative influence on staff wellbeing and behavior. Research has focused on negative emotions of staff. However, a distinction between emotions and feelings has never been made in the research field of intellectual disabilities. Negative emotions and feelings may be regulated by emotional intelligence, a psychological construct that takes into account personal style and individual differences. The purpose of this study was to explore the relationship between emotional intelligence on the one hand and emotions and feelings on the other. Participants were 207 support staff serving clients with moderate to borderline intellectual disabilities and challenging behavior. Emotional intelligence, emotions, and feelings were measured with questionnaires. The results show that emotional intelligence, emotions, and feelings are related. However, found relationships were weak. Most significant relations were found between feelings and stress management and adaptation elements of emotional intelligence. Because the explored variables can change over time they call for a longitudinal research approach. Copyright © 2013 Elsevier Ltd. All rights reserved.

  12. Epidemic assistance by the Centers for Disease Control and Prevention: role of the Epidemic Intelligence Service, 1946-2005.

    Science.gov (United States)

    Thacker, Stephen B; Stroup, Donna F; Sencer, David J

    2011-12-01

    Since 1946, the Centers for Disease Control and Prevention has responded to urgent requests from US states, federal agencies, and international organizations through epidemic-assistance investigations (Epi-Aids). The authors describe the first 60 years of Epi-Aids, breadth of problems addressed, evolution of methodologies, scope of activities, and impact of investigations on population health. They reviewed Epi-Aid reports and EIS Bulletins, contacted current and former Epidemic Intelligence Service staff, and systematically searched the PubMed and Web of Science databases. They abstracted information on dates, location, staff involved, health problems, methods, and impacts of investigations according to a preplanned protocol. They assessed the methods presented as well as the quality of reports. During 1946-2005, a total of 4,484 investigations of health events were initiated by 2,815 Epidemic Intelligence Service officers. In the early years, the majority were in response to infectious agents, although environmental problems emerged. Investigations in subsequent years focused on occupational conditions, birth defects, reproductive health, tobacco use, cancer, violence, legal debate, and terrorism. These Epi-Aids heralded expansion of the agency's mission and presented new methods in statistics and epidemiology. Recommendations from Epi-Aids led to policy implementation, evaluation, or modification. Epi-Aids provide the Centers for Disease Control and Prevention with the agility to respond rapidly to public health crises.

  13. Effects of Multiple Intelligences Supported Project-Based Learning on Students' Achievement Levels and Attitudes towards English Lesson

    Science.gov (United States)

    Bas, Gökhan; Beyhan, Ömer

    2010-01-01

    The aim of the research was to investigate the effects of multiple intelligences supported project-based learning and traditional foreign language-teaching environment on students' achievement and their attitude towards English lesson. The research was carried out in 2009-2010 education-instruction year in Karatli Sehit Sahin Yilmaz Elementary…

  14. MATHEMATICAL SUPPORT OF THE INTELLIGENT INFORMATION SYSTEM OF ASSESSING THE OBJECT STATE

    Directory of Open Access Journals (Sweden)

    Sofiia Yakubovska

    2017-11-01

    Full Text Available At present, information technologies (IT are intensively used all over the world in various sectors, and today medical institutions cannot do without them when organizing the process of medical diagnostic. The IT efficiency is determined by the degree of their intellectualization that is by including knowledge bases as their component and by the transition from data processing to the processing of knowledge. The efficiency of making decisions in various areas of activity is determined by the quality and quick delivery of information. Medicine constitutes no exception in this sense. The advanced level of computer technology, applied tools, diagnostics on the basis of automated systems of decision support made it possible to solve the tasks of assessing the state of the object at a qualitatively new level. The subject matter of this study is to ensure the mathematical support of the intelligent information system (IS of assessing the state of the object. The object is understood as a patient who came through a myocardial infarction (MI. The goal of the study is to develop mathematical support of the intelligent IS of assessing and predicting a patient’s condition. To achieve the stated goal, the following tasks were solved: statistically valid and uncorrelated signs were specified; these signs enable distinguishing the group of patients who survived from those who died, “decisive rules” were formulated for predicting the MI clinical outcome. In the process of the study, the mathematical IT of assessing the state of the object was developed. The following result was obtained: the suggested mathematical models for predicting the outcome of myocardial infarction that were developed with the use of the method of discriminant function and took into account human blood values can prevent sudden coronary death and improve the diagnostic efficiency. Conclusions. Mathematical models were developed to predict the state of the object in the event of

  15. Assessing the Academic Medical Center as a Supportive Learning Community

    Science.gov (United States)

    Gannon, Sam C.

    2011-01-01

    Academic medical centers are well-known for their emphasis on teaching, research and public service; however, like most large, bureaucratic organizations, they oftentimes suffer from an inability to learn as an organization. The role of the research administrator in the academic medical center has grown over time as the profession itself has…

  16. The Importance of Earth Observations and Data Collaboration within Environmental Intelligence Supporting Arctic Research

    Science.gov (United States)

    Casas, Joseph

    2017-01-01

    Within the IARPC Collaboration Team activities of 2016, Arctic in-situ and remote earth observations advanced topics such as :1) exploring the role for new and innovative autonomous observing technologies in the Arctic; 2) advancing catalytic national and international community based observing efforts in support of the National Strategy for the Arctic Region; and 3) enhancing the use of discovery tools for observing system collaboration such as the U.S. National Oceanic and Atmospheric Administration (NOAA) Arctic Environmental Response Management Application (ERMA) and the U.S. National Aeronautics and Space Administration (NASA) Arctic Collaborative Environment (ACE) project geo reference visualization decision support and exploitation internet based tools. Critical to the success of these earth observations for both in-situ and remote systems is the emerging of new and innovative data collection technologies and comprehensive modeling as well as enhanced communications and cyber infrastructure capabilities which effectively assimilate and dissemination many environmental intelligence products in a timely manner. The Arctic Collaborative Environment (ACE) project is well positioned to greatly enhance user capabilities for accessing, organizing, visualizing, sharing and producing collaborative knowledge for the Arctic.

  17. An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images

    Science.gov (United States)

    Chin Neoh, Siew; Srisukkham, Worawut; Zhang, Li; Todryk, Stephen; Greystoke, Brigit; Peng Lim, Chee; Alamgir Hossain, Mohammed; Aslam, Nauman

    2015-01-01

    This research proposes an intelligent decision support system for acute lymphoblastic leukaemia diagnosis from microscopic blood images. A novel clustering algorithm with stimulating discriminant measures (SDM) of both within- and between-cluster scatter variances is proposed to produce robust segmentation of nucleus and cytoplasm of lymphocytes/lymphoblasts. Specifically, the proposed between-cluster evaluation is formulated based on the trade-off of several between-cluster measures of well-known feature extraction methods. The SDM measures are used in conjuction with Genetic Algorithm for clustering nucleus, cytoplasm, and background regions. Subsequently, a total of eighty features consisting of shape, texture, and colour information of the nucleus and cytoplasm sub-images are extracted. A number of classifiers (multi-layer perceptron, Support Vector Machine (SVM) and Dempster-Shafer ensemble) are employed for lymphocyte/lymphoblast classification. Evaluated with the ALL-IDB2 database, the proposed SDM-based clustering overcomes the shortcomings of Fuzzy C-means which focuses purely on within-cluster scatter variance. It also outperforms Linear Discriminant Analysis and Fuzzy Compactness and Separation for nucleus-cytoplasm separation. The overall system achieves superior recognition rates of 96.72% and 96.67% accuracies using bootstrapping and 10-fold cross validation with Dempster-Shafer and SVM, respectively. The results also compare favourably with those reported in the literature, indicating the usefulness of the proposed SDM-based clustering method. PMID:26450665

  18. Artificial intelligent decision support for low-cost launch vehicle integrated mission operations

    Science.gov (United States)

    Szatkowski, Gerard P.; Schultz, Roger

    1988-01-01

    The feasibility, benefits, and risks associated with Artificial Intelligence (AI) Expert Systems applied to low cost space expendable launch vehicle systems are reviewed. This study is in support of the joint USAF/NASA effort to define the next generation of a heavy-lift Advanced Launch System (ALS) which will provide economical and routine access to space. The significant technical goals of the ALS program include: a 10 fold reduction in cost per pound to orbit, launch processing in under 3 weeks, and higher reliability and safety standards than current expendables. Knowledge-based system techniques are being explored for the purpose of automating decision support processes in onboard and ground systems for pre-launch checkout and in-flight operations. Issues such as: satisfying real-time requirements, providing safety validation, hardware and Data Base Management System (DBMS) interfacing, system synergistic effects, human interfaces, and ease of maintainability, have an effect on the viability of expert systems as a useful tool.

  19. Development of intelligent code system to support conceptual design of nuclear reactor core

    International Nuclear Information System (INIS)

    Kugo, Teruhiko; Nakagawa, Masayuki; Tsuchihashi, Keichiro

    1997-01-01

    An intelligent reactor design system IRDS has been developed to support conceptual design of new type reactor cores in the fields of neutronics, thermal-hydraulics and fuel behavior. The features of IRDS are summarized as follows: 1) a variety of computer codes to cover various design tasks relevant to 'static' and 'burnup' problems are implemented, 2) all the information necessary to the codes implemented is unified in a data base, 3) several data and knowledge bases are referred to in order to proceed design process efficiently for non-expert users, 4) advanced man-machine interface to communicate with the system through an interactive and graphical user interface is equipped and 5) a function to search automatically a design window, which is defined as a feasible parameter range to satisfy design requirement and criteria is employed to support the optimization or satisfication process. Applicability and productivity of the system are demonstrated by the design study of fuel pin for new type FBR cores. (author)

  20. Methodology Investigation of AI(Artificial Intelligence) Test Officer Support Tool. Volume 1

    Science.gov (United States)

    1989-03-01

    American Association for Artificial inteligence A! ............. Artificial inteliigence AMC ............ Unt:ed States Army Maeriel Comand ASL...block number) FIELD GROUP SUB-GROUP Artificial Intelligence, Expert Systems Automated Aids to Testing 9. ABSTRACT (Continue on reverse if necessary and...identify by block number) This report covers the application of Artificial Intelligence-Techniques to the problem of creating automated tools to

  1. WFIRST: User and mission support at ISOC - IPAC Science Operations Center

    Science.gov (United States)

    Akeson, Rachel; Armus, Lee; Bennett, Lee; Colbert, James; Helou, George; Kirkpatrick, J. Davy; Laine, Seppo; Meshkat, Tiffany; Paladini, Roberta; Ramirez, Solange; Wang, Yun; Xie, Joan; Yan, Lin

    2018-01-01

    The science center for WFIRST is distributed between the Goddard Space Flight Center, the Infrared Processing and Analysis Center (IPAC) and the Space Telescope Science Institute (STScI). The main functions of the IPAC Science Operations Center (ISOC) are:* Conduct the GO, archival and theory proposal submission and evaluation process* Support the coronagraph instrument, including observation planning, calibration and data processing pipeline, generation of data products, and user support* Microlensing survey data processing pipeline, generation of data products, and user support* Community engagement including conferences, workshops and general support of the WFIRST exoplanet communityWe will describe the components planned to support these functions and the community of WFIRST users.

  2. Fuel Line: Defense Energy Support Center. Volume 2

    National Research Council Canada - National Science Library

    2000-01-01

    .... Fuel Line is prepared by desktop publishing applications and designed to provide timely, factual information on policies, plans, operations, and technical developments of the Center and interrelated subject matter...

  3. Intelligence Issues for Congress

    Science.gov (United States)

    2013-04-23

    open source information— osint (newspapers...by user agencies. Section 1052 of the Intelligence Reform Act expressed the sense of Congress that there should be an open source intelligence ...center to coordinate the collection, analysis, production, and dissemination of open source intelligence to other intelligence agencies. An Open Source

  4. Person-Centered and Collaborative Supports for College Success

    Science.gov (United States)

    Weir, Cate

    2004-01-01

    Recent studies of innovative supports and services in postsecondary education reveal more effective and cooperative mechanisms with which to provide supports to individuals with disabilities (Stodden, Jones, & Chang, 2003; Whelley, Hart, & Zafft, 2003). Colleges and universities can design supports that permit consumer choice while…

  5. An intelligent decision support system for management of petroleum-contaminated sites

    International Nuclear Information System (INIS)

    Liquang Geng; Chan, C.W.; Zhi Chen; Huang, G.H.

    2001-01-01

    Groundwater and soil contamination resulted from LNAPLs (light nonaqueous phase liquids) spills and leakage in petroleum industry is currently one of the major environmental concerns in North America. Numerous site remediation technologies have been developed and implemented in the last two decades. They are classified as ex-situ and in-situ remediation techniques. One of the problems associated with ex-situ remediation is the cost of operation. In recent years, in-situ techniques have acquired popularity. However, the selection of the optimal techniques is difficult and insufficient expertise in the process may result in large inflation of expenses. This study presents an expert system (ES) for the management of petroleum contaminated sites in which a variety of artificial intelligence (AI) techniques were used to construct a support tool for site remediation decision-making. This paper presents the knowledge engineering processes of knowledge acquisition, conceptual design, and system implementation. The results from some case studies indicate that the expert system can generate cost-effective remediation alternatives to assist decision-makers. (Author)

  6. Intelligent support of e-management for consumer-focused virtual enterprises

    Science.gov (United States)

    Chandra, Charu; Smirnov, Alexander V.

    2000-10-01

    The interest in consumer-focused virtual enterprises (VE) decision-making problem is growing fast. The purpose of this type of enterprise is to transform incomplete information about customer orders and available resources into-co-ordinated plans for production and replenishment of goods and services in the temporal network formed by collaborating units. This implies that information in the consumer-focused VE can be shared via Internet, Intranet, and Extranet for business-to-consumer (B2C), business-to-business service (B2B-S), and business-to-business goods (B2B-G) transactions. One of the goals of Internet-Based Management (e-management) is to facilitate transfer and sharing of data and knowledge in the context of enterprise collaboration. This paper discusses a generic framework of e-management that integrates intelligent information support group-decision making, and agreement modeling for a VE network. It offers the platform for design and modeling of diverse implementation strategies related to the type of agreement, optimization policies, decision-making strategies, organization structures, and information sharing strategies and mechanisms, and business policies for the VE.

  7. LOCAL WISDOM OF SABANG ISLAND SOCIETY (ACEH, INDONESIA IN BUILDING ECOLOGICAL INTELLIGENCE TO SUPPORT SUSTAINABLE TOURISM

    Directory of Open Access Journals (Sweden)

    Dian ASWITA

    2018-05-01

    Full Text Available One of the existing natural and environmental uses in Aceh (Indonesia is tourism. One of the aspects that determine the development and sustainability of tourism is the institutional and community aspects. Sustainable tourism is a picture of the ecosystem sustainability and socio-economic development of the community. This study aims to reveal and find local wisdom practices and explore local knowledge owned by Sabang Island community in the management and conservation of the environment so as to support the realization of sustainable tourism. This study uses rationalistic paradigm and uses qualitative research method. The data that has been collected is analyzed descriptively. Local wisdom and local knowledge are reflected in how society has a unique way of looking at and understanding nature and interacting with it. In the Aceh community, there are customary institutions that regulate the rules or interactions of the community with the environment, including “panglima laot”, “keujreun blang”, “peutua seuneubok”, “pawang glee or peutua uteun”, “haria peukan” and “syahbanda”. Local wisdom and local knowledge have great potential in maintaining, preserving and sustainability of the environment used by communities to meet their living needs. Ecological, social and religious intelligence formed through local wisdom and local knowledge can be an aspect in maintaining environmental sustainability in order to build sustainable tourism on Sabang Island.

  8. Intelligent Design of Metal Oxide Gas Sensor Arrays Using Reciprocal Kernel Support Vector Regression

    Science.gov (United States)

    Dougherty, Andrew W.

    Metal oxides are a staple of the sensor industry. The combination of their sensitivity to a number of gases, and the electrical nature of their sensing mechanism, make the particularly attractive in solid state devices. The high temperature stability of the ceramic material also make them ideal for detecting combustion byproducts where exhaust temperatures can be high. However, problems do exist with metal oxide sensors. They are not very selective as they all tend to be sensitive to a number of reduction and oxidation reactions on the oxide's surface. This makes sensors with large numbers of sensors interesting to study as a method for introducing orthogonality to the system. Also, the sensors tend to suffer from long term drift for a number of reasons. In this thesis I will develop a system for intelligently modeling metal oxide sensors and determining their suitability for use in large arrays designed to analyze exhaust gas streams. It will introduce prior knowledge of the metal oxide sensors' response mechanisms in order to produce a response function for each sensor from sparse training data. The system will use the same technique to model and remove any long term drift from the sensor response. It will also provide an efficient means for determining the orthogonality of the sensor to determine whether they are useful in gas sensing arrays. The system is based on least squares support vector regression using the reciprocal kernel. The reciprocal kernel is introduced along with a method of optimizing the free parameters of the reciprocal kernel support vector machine. The reciprocal kernel is shown to be simpler and to perform better than an earlier kernel, the modified reciprocal kernel. Least squares support vector regression is chosen as it uses all of the training points and an emphasis was placed throughout this research for extracting the maximum information from very sparse data. The reciprocal kernel is shown to be effective in modeling the sensor

  9. Support vector machine based diagnostic system for breast cancer using swarm intelligence.

    Science.gov (United States)

    Chen, Hui-Ling; Yang, Bo; Wang, Gang; Wang, Su-Jing; Liu, Jie; Liu, Da-You

    2012-08-01

    Breast cancer is becoming a leading cause of death among women in the whole world, meanwhile, it is confirmed that the early detection and accurate diagnosis of this disease can ensure a long survival of the patients. In this paper, a swarm intelligence technique based support vector machine classifier (PSO_SVM) is proposed for breast cancer diagnosis. In the proposed PSO-SVM, the issue of model selection and feature selection in SVM is simultaneously solved under particle swarm (PSO optimization) framework. A weighted function is adopted to design the objective function of PSO, which takes into account the average accuracy rates of SVM (ACC), the number of support vectors (SVs) and the selected features simultaneously. Furthermore, time varying acceleration coefficients (TVAC) and inertia weight (TVIW) are employed to efficiently control the local and global search in PSO algorithm. The effectiveness of PSO-SVM has been rigorously evaluated against the Wisconsin Breast Cancer Dataset (WBCD), which is commonly used among researchers who use machine learning methods for breast cancer diagnosis. The proposed system is compared with the grid search method with feature selection by F-score. The experimental results demonstrate that the proposed approach not only obtains much more appropriate model parameters and discriminative feature subset, but also needs smaller set of SVs for training, giving high predictive accuracy. In addition, Compared to the existing methods in previous studies, the proposed system can also be regarded as a promising success with the excellent classification accuracy of 99.3% via 10-fold cross validation (CV) analysis. Moreover, a combination of five informative features is identified, which might provide important insights to the nature of the breast cancer disease and give an important clue for the physicians to take a closer attention. We believe the promising result can ensure that the physicians make very accurate diagnostic decision in

  10. Sequential mediating effects of provided and received social support on trait emotional intelligence and subjective happiness: A longitudinal examination in Hong Kong Chinese university students.

    Science.gov (United States)

    Ye, Jiawen; Yeung, Dannii Y; Liu, Elaine S C; Rochelle, Tina L

    2018-04-03

    Past research has often focused on the effects of emotional intelligence and received social support on subjective well-being yet paid limited attention to the effects of provided social support. This study adopted a longitudinal design to examine the sequential mediating effects of provided and received social support on the relationship between trait emotional intelligence and subjective happiness. A total of 214 Hong Kong Chinese undergraduates were asked to complete two assessments with a 6-month interval in between. The results of the sequential mediation analysis indicated that the trait emotional intelligence measured in Time 1 indirectly influenced the level of subjective happiness in Time 2 through a sequential pathway of social support provided for others in Time 1 and social support received from others in Time 2. These findings highlight the importance of trait emotional intelligence and the reciprocal exchanges of social support in the subjective well-being of university students. © 2018 International Union of Psychological Science.

  11. Pediatric Oncology Branch - Support Services | Center for Cancer Research

    Science.gov (United States)

    Support Services As part of the comprehensive care provided at the NCI Pediatric Oncology Branch, we provide a wide range of services to address the social, psychological, emotional, and practical facets of pediatric cancer and to support patients and families while they are enrolled in clinical research protocols.

  12. Reference system architecture for trade promotion management: leveraging business intelligence technologies and decision support systems

    NARCIS (Netherlands)

    Balmus, Andra Bianca; Iacob, Maria Eugenia; van Sinderen, Marten J.; van Busschbach, Murk

    Working towards gaining competitive advantage and establishing stable relationships with their supply chain intermediaries, fast moving consumer goods companies are currently focusing their attention on intelligent, goal-based funds investment. Traditional trade promotion management systems (TPMS),

  13. Strategic Plan for Electronic Commerce, Defense Personnel Support Center

    Science.gov (United States)

    1993-07-01

    analysis. We will strive to achieve and maintain a partnership with our 2-2 customers as their supplier of choice. As their preferred partner, we will...shorter production lead times than the individual contracts of the past and will be administered to foster stronger partnerships between the center and...of currentivur projects 8 Idenfti shalegies for recordhn and elimrinaling DPSC-S, P July 1963 ; WWf regualaory, and COer roadbldok 9 De4vep a techwca

  14. U.S. Ebola Treatment Center Clinical Laboratory Support

    OpenAIRE

    Jelden, Katelyn C.; Iwen, Peter C.; Herstein, Jocelyn J.; Biddinger, Paul D.; Kraft, Colleen S.; Saiman, Lisa; Smith, Philip W.; Hewlett, Angela L.; Gibbs, Shawn G.; Lowe, John J.

    2016-01-01

    Fifty-five hospitals in the United States have been designated Ebola treatment centers (ETCs) by their state and local health authorities. Designated ETCs must have appropriate plans to manage a patient with confirmed Ebola virus disease (EVD) for the full duration of illness and must have these plans assessed through a CDC site visit conducted by an interdisciplinary team of subject matter experts. This study determined the clinical laboratory capabilities of these ETCs. ETCs were electronic...

  15. Reliability and efficiency upgrades of power systems operation by implementing intelligent electronic devices with synchrophasor measurement technology support

    Directory of Open Access Journals (Sweden)

    Mokeev Alexey

    2017-01-01

    Full Text Available This paper reviews issues of reliability and efficiency upgrades of power systems functions by means of a widespread implementation of intelligent electronic devices (IED in various purposes supporting synchrophasor measurement technology. Thus, such issues as IED’s operational analysis in the conditions of electromagnetic and electromechanical transient processes and synthesis of digital filters that improve static and dynamic responses of these devices play an important role in their development.

  16. Reliability and efficiency upgrades of power systems operation by implementing intelligent electronic devices with synchrophasor measurement technology support

    OpenAIRE

    Mokeev Alexey

    2017-01-01

    This paper reviews issues of reliability and efficiency upgrades of power systems functions by means of a widespread implementation of intelligent electronic devices (IED) in various purposes supporting synchrophasor measurement technology. Thus, such issues as IED’s operational analysis in the conditions of electromagnetic and electromechanical transient processes and synthesis of digital filters that improve static and dynamic responses of these devices play an important role in their devel...

  17. Self-centering connections for traffic sign supporting structures.

    Science.gov (United States)

    2015-03-01

    Steel structures supporting traffic sign panels are designed as intended to dissipate energy by : yielding structural members during severe wind loading (ex. strong hurricanes). Yielding results : in inelastic deformations, which are permanent damage...

  18. Engineering Technical Support Center Annual Report Fiscal Year 2016

    Science.gov (United States)

    This report highlights significant projects that the ETSC supported in fiscal year 2016. These projects have addressed an array of environmental scenarios, including, but not limited to remote mining contamination, expansive landfill waste, cumulative impacts from multiple contam...

  19. VHA Support Service Center Primary Care Management Module (PCMM)

    Data.gov (United States)

    Department of Veterans Affairs — The Primary Care Management Module (PCMM) was developed to assist VA facilities in implementing Primary Care. PCMM supports both Primary Care and non-Primary Care...

  20. Factors That Contribute to Community Members' Support of Local Nature Centers

    Science.gov (United States)

    Browning, Matthew H. E. M.; Stern, Marc J.; Ardoin, Nicole M.; Heimlich, Joe E.

    2018-01-01

    Nature centers can serve as valuable community institutions if they are seen as providing important services to the community. Through survey research in communities surrounding 16 nature centers in the United States, we examine the attitudes, behaviors, and beliefs that drive hypothetical support for nature centers from local residents.…

  1. All in One Stop? The Accessibility of Work Support Programs at One-Stop Centers.

    Science.gov (United States)

    Richer, Elise; Kubo, Hitomi; Frank, Abbey

    The accessibility of work support programs at one-stop centers was examined in a study during which 33 telephone directors or managers of one-stop centers in 22 states were interviewed by telephone. The interviews established the existence of extensive differences between one-stop centers from the standpoint of all aspects of their operation,…

  2. Intelligent Control of Micro Grid: A Big Data-Based Control Center

    Science.gov (United States)

    Liu, Lu; Wang, Yanping; Liu, Li; Wang, Zhiseng

    2018-01-01

    In this paper, a structure of micro grid system with big data-based control center is introduced. Energy data from distributed generation, storage and load are analized through the control center, and from the results new trends will be predicted and applied as a feedback to optimize the control. Therefore, each step proceeded in micro grid can be adjusted and orgnized in a form of comprehensive management. A framework of real-time data collection, data processing and data analysis will be proposed by employing big data technology. Consequently, a integrated distributed generation and a optimized energy storage and transmission process can be implemented in the micro grid system.

  3. Approaches to optimal aquifer management and intelligent control in a multiresolutional decision support system

    Science.gov (United States)

    Orr, Shlomo; Meystel, Alexander M.

    2005-03-01

    Despite remarkable new developments in stochastic hydrology and adaptations of advanced methods from operations research, stochastic control, and artificial intelligence, solutions of complex real-world problems in hydrogeology have been quite limited. The main reason is the ultimate reliance on first-principle models that lead to complex, distributed-parameter partial differential equations (PDE) on a given scale. While the addition of uncertainty, and hence, stochasticity or randomness has increased insight and highlighted important relationships between uncertainty, reliability, risk, and their effect on the cost function, it has also (a) introduced additional complexity that results in prohibitive computer power even for just a single uncertain/random parameter; and (b) led to the recognition in our inability to assess the full uncertainty even when including all uncertain parameters. A paradigm shift is introduced: an adaptation of new methods of intelligent control that will relax the dependency on rigid, computer-intensive, stochastic PDE, and will shift the emphasis to a goal-oriented, flexible, adaptive, multiresolutional decision support system (MRDS) with strong unsupervised learning (oriented towards anticipation rather than prediction) and highly efficient optimization capability, which could provide the needed solutions of real-world aquifer management problems. The article highlights the links between past developments and future optimization/planning/control of hydrogeologic systems. Malgré de remarquables nouveaux développements en hydrologie stochastique ainsi que de remarquables adaptations de méthodes avancées pour les opérations de recherche, le contrôle stochastique, et l'intelligence artificielle, solutions pour les problèmes complexes en hydrogéologie sont restées assez limitées. La principale raison est l'ultime confiance en les modèles qui conduisent à des équations partielles complexes aux paramètres distribués (PDE) à une

  4. An intelligent ecosystem to support the psychological diagnosis and intervention of children under social vulnerability

    Science.gov (United States)

    Pesántez-Avilés, Fernando; Cevallos-León Wong, Verónica; Robles-Bykbaev, Vladimir; Borck-Vintimilla, Estefanía.; Flores-Andrade, Santiago; Pineda-Villa, Yenner; Pacurucu-Pacurucu, Ana

    2015-12-01

    When children are taken apart from their parents because of many violence situations, they are taken to foster homes, where they share place with kids who have lived similar situations. United Nations Children's Fund (2014) refer that Children who have been abused or neglected, often may have low self-esteem and other emotional problems, which can lead, at worst, to risky behaviors and self-harm . They also could tend to internalize that behavior, repeating the pattern of violence and abuse as a response to their environment. In this line, the latest estimates provided by SOS Children's Village International show a global complex picture: around 24 million of children in the world live in foster homes, one billion of children live in conflict-affected areas; and, furthermore, there is a lack of mental health professionals in most of the countries. On those grounds, in this paper we propose an intelligent ecosystem to provide support for psychologists during the psychodiagnosis and intervention with children, especially the ones who are in foster homes. Currently, the system is able to automatically determine some psychological traits, according to responses provided by each patient. One part of the diagnostic system is based on two psychological tests: the Draw-A-Person test and the Draw-A-Family test. The results obtained on the first stage let the system establish different challenges according to the skills that the evaluated child needs to develop. Our proposed approach was tested in a population of 124 children (93 school students, and 31 living in shelters), and has achieved encouraging results (80% of precision in patient's profile determination).

  5. Understanding Preschool Teachers’ Emotional Support as a Function of Center Climate

    Directory of Open Access Journals (Sweden)

    Katherine M. Zinsser

    2014-11-01

    Full Text Available There is great emphasis recently on improving the quality of early childhood education in the United States. Within quality rating improvement systems, classroom quality is often reported at the center or program levels. Yet little is known about teaching quality at the center level or the influence of center characteristics on teaching quality. Specifically, this study examines the extent to which the quality of emotional support provided by the teacher is associated with characteristics of the center (e.g., prior turnover rates and center director (e.g., education, management practices. Findings from Head Start Family and Child Experiences Survey (FACES 2009 data indicated that emotional support dimensions were differentially predicted by characteristics of the center and the director, including prior teacher turnover rate and director job satisfaction. However, highly regulated indicators of center quality (e.g., student:teacher ratio did not substantially explain emotional support.

  6. Algorithms in ambient intelligence

    NARCIS (Netherlands)

    Aarts, E.H.L.; Korst, J.H.M.; Verhaegh, W.F.J.; Verhaegh, W.F.J.; Aarts, E.H.L.; Korst, J.H.M.

    2004-01-01

    In this chapter, we discuss the new paradigm for user-centered computing known as ambient intelligence and its relation with methods and techniques from the field of computational intelligence, including problem solving, machine learning, and expert systems.

  7. Family Support Center Village: A Unique Approach for Low-Income Single Women with Children

    Science.gov (United States)

    Graber, Helen V.; Wolfe, Jayne L.

    2004-01-01

    The Family Support Center, recognizing the need for single women with children to maintain stability, has developed a program referred to as the Family Support Center Village, which incorporates a service enriched co-housing model. The "Village" will be the catalyst for these mothers' self-sufficiency and will provide opportunities to develop…

  8. Positioning a University Outreach Center: Strategies for Support and Continuation.

    Science.gov (United States)

    Skivington, Kristen D.

    1998-01-01

    Argues that a strong case can be made for supporting outreach as a value-added function in a university. Specific strategies for positioning outreach within the university by developing a power base are outlined. The case of the University of Michigan-Flint is offered as an example of this approach. Seven lessons learned in the process are noted.…

  9. TTI Phase 2 Institutional Support: Center for Study of Science ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    For CSTEP, this project will help enhance its research quality, organizational performance, and policy engagement. Building a strong think tank for India Through this support over the ... -raise the bar for excellence in policy engagement tools and approaches -build a robust system of decision-making structures, systems, ...

  10. Structural analysis of peptides that fill sites near the active center of the two different enzyme molecules by artificial intelligence and computer simulations

    Science.gov (United States)

    Nishiyama, Katsuhiko

    2018-05-01

    Using artificial intelligence, the binding styles of 167 tetrapeptides were predicted in the active site of papain and cathepsin K. Five tetrapeptides (Asn-Leu-Lys-Trp, Asp-Gln-Trp-Gly, Cys-Gln-Leu-Arg, Gln-Leu-Trp-Thr and Arg-Ser-Glu-Arg) were found to bind sites near the active center of both papain and cathepsin K. These five tetrapeptides have the potential to also bind sites of other cysteine proteases, and structural characteristics of these tetrapeptides should aid the design of a common inhibitor of cysteine proteases. Smart application of artificial intelligence should accelerate data mining of important complex systems.

  11. Effects of multiple intelligences supported project-based learning on students’ achievement levels and attitudes towards English lesson

    Directory of Open Access Journals (Sweden)

    Gökhan Baş

    2007-07-01

    Full Text Available The aim of the research was to investigate the effects of multiple intelligences supported project-based learning and traditional foreign language-teaching environment on students’ achievement and their attitude towards English lesson. The research was carried out in 2009 – 2010 education-instruction year in Karatli Sehit Sahin Yilmaz Elementary School, Nigde, Turkey. Totally 50 students in two different classes in the 5th grade of this school participated in the study. The results of the research showed a significant difference between the attitude scores of the experiment group and the control group. It was also found out that the multiple intelligences approach activities were more effective in the positive development of the students’ attitudes. At the end of the research, it is revealed that the students who are educated by multiple intelligences supported project-based learning method are more successful and have a higher motivation level than the students who are educated by the traditional instructional methods.

  12. Associations between trait emotional intelligence and loneliness in Chinese undergraduate students: mediating effects of self-esteem and social support.

    Science.gov (United States)

    Zou, Jilin

    2014-06-01

    Prior studies indicate that trait emotional intelligence (EI) is associated negatively with loneliness. However, the mechanisms underlying the relationship are not clear. This study assessed whether both self-esteem and social support mediated the associations between trait EI and loneliness. 469 Chinese undergraduate participants whose age ranged from 18 to 23 years (208 women) were asked to complete four self-report questionnaires, including the Wong Law Emotional Intelligence Scale, the Social and Emotional Loneliness Scale, the Rosenberg Self-esteem Scale, and the Multi-Dimensional Scale of Perceived Social Support. Analyses indicated that self-esteem and social support fully mediated the associations between trait EI and loneliness. Effect contrasts indicated that the specific indirect effect through social support was significantly greater than that through self-esteem. Moreover, a multiple-group analysis indicated that no path differed significantly by sex. These results suggest that social support is more important than self-esteem in the association between trait EI and loneliness. Furthermore, both sexes appear to share the same mechanism underlying this association.

  13. Implementation of an Intelligent Tutoring System for Online Homework Support in an Efficacy Trial

    Science.gov (United States)

    Feng, Mingyu; Roschelle, Jeremy; Heffernan, Neil; Fairman, Janet; Murphy, Robert

    2014-01-01

    Much research has been done on the development of an intelligent tutoring system (ITS), and small empirical studies have demonstrated the effectiveness of ITS at promoting student learning. However, large-scale implementation of ITS in school settings has not been researched thoroughly. In this paper, we describe an ongoing randomized controlled…

  14. Emotional Intelligence and Perceived Social Support among Italian High School Students

    Science.gov (United States)

    Di Fabio, Annamaria; Kenny, Maureen E.

    2012-01-01

    Emotional intelligence (EI) has emerged in recent research as a teachable skill that is distinct from personality and is relevant to scholastic and work success and progress in career development. This study adds to that research by examining the relationship of performance and self-report measures of EI and personality traits with perceived…

  15. Impact of configuration management system of computer center on support of scientific projects throughout their lifecycle

    International Nuclear Information System (INIS)

    Bogdanov, A.V.; Yuzhanin, N.V.; Zolotarev, V.I.; Ezhakova, T.R.

    2017-01-01

    In this article the problem of scientific projects support throughout their lifecycle in the computer center is considered in every aspect of support. Configuration Management system plays a connecting role in processes related to the provision and support of services of a computer center. In view of strong integration of IT infrastructure components with the use of virtualization, control of infrastructure becomes even more critical to the support of research projects, which means higher requirements for the Configuration Management system. For every aspect of research projects support, the influence of the Configuration Management system is reviewed and development of the corresponding elements of the system is described in the present paper.

  16. Impact of configuration management system of computer center on support of scientific projects throughout their lifecycle

    Science.gov (United States)

    Bogdanov, A. V.; Iuzhanin, N. V.; Zolotarev, V. I.; Ezhakova, T. R.

    2017-12-01

    In this article the problem of scientific projects support throughout their lifecycle in the computer center is considered in every aspect of support. Configuration Management system plays a connecting role in processes related to the provision and support of services of a computer center. In view of strong integration of IT infrastructure components with the use of virtualization, control of infrastructure becomes even more critical to the support of research projects, which means higher requirements for the Configuration Management system. For every aspect of research projects support, the influence of the Configuration Management system is being reviewed and development of the corresponding elements of the system is being described in the present paper.

  17. The relationship between intelligence and creativity: New support for the threshold hypothesis by means of empirical breakpoint detection

    Science.gov (United States)

    Jauk, Emanuel; Benedek, Mathias; Dunst, Beate; Neubauer, Aljoscha C.

    2013-01-01

    The relationship between intelligence and creativity has been subject to empirical research for decades. Nevertheless, there is yet no consensus on how these constructs are related. One of the most prominent notions concerning the interplay between intelligence and creativity is the threshold hypothesis, which assumes that above-average intelligence represents a necessary condition for high-level creativity. While earlier research mostly supported the threshold hypothesis, it has come under fire in recent investigations. The threshold hypothesis is commonly investigated by splitting a sample at a given threshold (e.g., at 120 IQ points) and estimating separate correlations for lower and upper IQ ranges. However, there is no compelling reason why the threshold should be fixed at an IQ of 120, and to date, no attempts have been made to detect the threshold empirically. Therefore, this study examined the relationship between intelligence and different indicators of creative potential and of creative achievement by means of segmented regression analysis in a sample of 297 participants. Segmented regression allows for the detection of a threshold in continuous data by means of iterative computational algorithms. We found thresholds only for measures of creative potential but not for creative achievement. For the former the thresholds varied as a function of criteria: When investigating a liberal criterion of ideational originality (i.e., two original ideas), a threshold was detected at around 100 IQ points. In contrast, a threshold of 120 IQ points emerged when the criterion was more demanding (i.e., many original ideas). Moreover, an IQ of around 85 IQ points was found to form the threshold for a purely quantitative measure of creative potential (i.e., ideational fluency). These results confirm the threshold hypothesis for qualitative indicators of creative potential and may explain some of the observed discrepancies in previous research. In addition, we obtained

  18. Analysis of operator support method based on intelligent dynamic interlock in lead-cooled fast reactor simulator

    International Nuclear Information System (INIS)

    Xu, Peng; Wang, Jianye; Yang, Minghan; Wang, Weitian; Bai, Yunqing; Song, Yong

    2017-01-01

    Highlights: • We development an operator support method based on intelligent dynamic interlock. • We offer an integrated aid system to reduce the working strength of operators. • The method can help operators avoid dangerous, irreversible operation. • This method can be used in the fusion research reactor in the further. - Abstract: In nuclear systems, operators have to carry out corrective actions when abnormal situations occur. However, operators might make mistakes under pressure. In order to avoid serious consequences of the human errors, a new method for operators support based on intelligent dynamic interlock was proposed. The new method based on full digital instrumentation and control system, contains real-time alarm analysis process, decision support process and automatic safety interlock process. Once abnormal conditions occur, necessary safety interlock parameter based on analysis of real-time alarm and decision support process can be loaded into human-machine interfaces and controllers automatically, and avoid human errors effectively. Furthermore, the new method can make recommendations for further use and development of this technique in nuclear power plant or fusion research reactor.

  19. Applying artificial intelligence technology to support decision-making in nursing: A case study in Taiwan.

    Science.gov (United States)

    Liao, Pei-Hung; Hsu, Pei-Ti; Chu, William; Chu, Woei-Chyn

    2015-06-01

    This study applied artificial intelligence to help nurses address problems and receive instructions through information technology. Nurses make diagnoses according to professional knowledge, clinical experience, and even instinct. Without comprehensive knowledge and thinking, diagnostic accuracy can be compromised and decisions may be delayed. We used a back-propagation neural network and other tools for data mining and statistical analysis. We further compared the prediction accuracy of the previous methods with an adaptive-network-based fuzzy inference system and the back-propagation neural network, identifying differences in the questions and in nurse satisfaction levels before and after using the nursing information system. This study investigated the use of artificial intelligence to generate nursing diagnoses. The percentage of agreement between diagnoses suggested by the information system and those made by nurses was as much as 87 percent. When patients are hospitalized, we can calculate the probability of various nursing diagnoses based on certain characteristics. © The Author(s) 2013.

  20. Integrated Multimedia Based Intelligent Group Decision Support System for Electrical Power Network

    OpenAIRE

    Ajay Kumar Saxena; S. 0. Bhatnagar; P. K Saxena

    2002-01-01

    Electrical Power Network in recent time requires an intelligent, virtual environment based decision process for the coordination of all its individual elements and the interrelated tasks. Its ultimate goal is to achieve maximum productivity and efficiency through the efficient and effective application of generation, transmission, distribution, pricing and regulatory systems. However, the complexity of electrical power network and the presence of conflicting multiple goals and objectives p...

  1. PTC test bed upgrades to provide ACSES testing support capabilities at transportation technology center.

    Science.gov (United States)

    2015-06-01

    FRA Task Order 314 upgraded the Positive Train Control (PTC) Test Bed at the Transportation Technology Center to support : testing of PTC systems, components, and related equipment associated with the Advanced Civil Speed Enforcement System : (ACSES)...

  2. Information and psychomotor skills knowledge acquisition: A student-customer-centered and computer-supported approach.

    Science.gov (United States)

    Nicholson, Anita; Tobin, Mary

    2006-01-01

    This presentation will discuss coupling commercial and customized computer-supported teaching aids to provide BSN nursing students with a friendly customer-centered self-study approach to psychomotor skill acquisition.

  3. "Intelligent Ensemble" Projections of Precipitation and Surface Radiation in Support of Agricultural Climate Change Adaptation

    Science.gov (United States)

    Taylor, Patrick C.; Baker, Noel C.

    2015-01-01

    Earth's climate is changing and will continue to change into the foreseeable future. Expected changes in the climatological distribution of precipitation, surface temperature, and surface solar radiation will significantly impact agriculture. Adaptation strategies are, therefore, required to reduce the agricultural impacts of climate change. Climate change projections of precipitation, surface temperature, and surface solar radiation distributions are necessary input for adaption planning studies. These projections are conventionally constructed from an ensemble of climate model simulations (e.g., the Coupled Model Intercomparison Project 5 (CMIP5)) as an equal weighted average, one model one vote. Each climate model, however, represents the array of climate-relevant physical processes with varying degrees of fidelity influencing the projection of individual climate variables differently. Presented here is a new approach, termed the "Intelligent Ensemble, that constructs climate variable projections by weighting each model according to its ability to represent key physical processes, e.g., precipitation probability distribution. This approach provides added value over the equal weighted average method. Physical process metrics applied in the "Intelligent Ensemble" method are created using a combination of NASA and NOAA satellite and surface-based cloud, radiation, temperature, and precipitation data sets. The "Intelligent Ensemble" method is applied to the RCP4.5 and RCP8.5 anthropogenic climate forcing simulations within the CMIP5 archive to develop a set of climate change scenarios for precipitation, temperature, and surface solar radiation in each USDA Farm Resource Region for use in climate change adaptation studies.

  4. Distributed scheduling to support a call center: A cooperative multiagent approach

    NARCIS (Netherlands)

    Brazier, F.M.T.; Jonker, C.M.; Jüngen, F.J.; Treur, J.

    1999-01-01

    This article describes a multiagent system architecture to increase the value of 24-hour-a day call center service. This system supports call centers in making appointments with clients on the basis ofknowledge ofemployees and their schedules. Relevant activities are scheduled for employees in

  5. Artificial intelligence techniques applied to the development of a decision-support system for diagnosing celiac disease.

    Science.gov (United States)

    Tenório, Josceli Maria; Hummel, Anderson Diniz; Cohrs, Frederico Molina; Sdepanian, Vera Lucia; Pisa, Ivan Torres; de Fátima Marin, Heimar

    2011-11-01

    Celiac disease (CD) is a difficult-to-diagnose condition because of its multiple clinical presentations and symptoms shared with other diseases. Gold-standard diagnostic confirmation of suspected CD is achieved by biopsying the small intestine. To develop a clinical decision-support system (CDSS) integrated with an automated classifier to recognize CD cases, by selecting from experimental models developed using intelligence artificial techniques. A web-based system was designed for constructing a retrospective database that included 178 clinical cases for training. Tests were run on 270 automated classifiers available in Weka 3.6.1 using five artificial intelligence techniques, namely decision trees, Bayesian inference, k-nearest neighbor algorithm, support vector machines and artificial neural networks. The parameters evaluated were accuracy, sensitivity, specificity and area under the ROC curve (AUC). AUC was used as a criterion for selecting the CDSS algorithm. A testing database was constructed including 38 clinical CD cases for CDSS evaluation. The diagnoses suggested by CDSS were compared with those made by physicians during patient consultations. The most accurate method during the training phase was the averaged one-dependence estimator (AODE) algorithm (a Bayesian classifier), which showed accuracy 80.0%, sensitivity 0.78, specificity 0.80 and AUC 0.84. This classifier was integrated into the web-based decision-support system. The gold-standard validation of CDSS achieved accuracy of 84.2% and k=0.68 (pdiagnosis. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  6. The Weighted Support Vector Machine Based on Hybrid Swarm Intelligence Optimization for Icing Prediction of Transmission Line

    Directory of Open Access Journals (Sweden)

    Xiaomin Xu

    2015-01-01

    Full Text Available Not only can the icing coat on transmission line cause the electrical fault of gap discharge and icing flashover but also it will lead to the mechanical failure of tower, conductor, insulators, and others. It will bring great harm to the people’s daily life and work. Thus, accurate prediction of ice thickness has important significance for power department to control the ice disaster effectively. Based on the analysis of standard support vector machine, this paper presents a weighted support vector machine regression model based on the similarity (WSVR. According to the different importance of samples, this paper introduces the weighted support vector machine and optimizes its parameters by hybrid swarm intelligence optimization algorithm with the particle swarm and ant colony (PSO-ACO, which improves the generalization ability of the model. In the case study, the actual data of ice thickness and climate in a certain area of Hunan province have been used to predict the icing thickness of the area, which verifies the validity and applicability of this proposed method. The predicted results show that the intelligent model proposed in this paper has higher precision and stronger generalization ability.

  7. Use of computers and Internet among people with severe mental illnesses at peer support centers.

    Science.gov (United States)

    Brunette, Mary F; Aschbrenner, Kelly A; Ferron, Joelle C; Ustinich, Lee; Kelly, Michael; Grinley, Thomas

    2017-12-01

    Peer support centers are an ideal setting where people with severe mental illnesses can access the Internet via computers for online health education, peer support, and behavioral treatments. The purpose of this study was to assess computer use and Internet access in peer support agencies. A peer-assisted survey assessed the frequency with which consumers in all 13 New Hampshire peer support centers (n = 702) used computers to access Internet resources. During the 30-day survey period, 200 of the 702 peer support consumers (28%) responded to the survey. More than 3 quarters (78.5%) of respondents had gone online to seek information in the past year. About half (49%) of respondents were interested in learning about online forums that would provide information and peer support for mental health issues. Peer support centers may be a useful venue for Web-based approaches to education, peer support, and intervention. Future research should assess facilitators and barriers to use of Web-based resources among people with severe mental illness in peer support centers. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  8. Career Advancement and Work Support Services on the Job: Implementing the Fort Worth Work Advancement and Support Center Program

    Science.gov (United States)

    Schultz, Caroline; Seith, David

    2011-01-01

    The Work Advancement and Support Center (WASC) program in Fort Worth was part of a demonstration that is testing innovative strategies to help increase the income of low-wage workers, who make up a large segment of the U.S. workforce. The program offered services to help workers stabilize their employment, improve their skills, and increase their…

  9. Concept of object-oriented intelligent support for nuclear reactor designing

    International Nuclear Information System (INIS)

    Yoshikawa, H.; Gofuku, A.

    1991-01-01

    A concept of object-oriented intelligent CAD/CAE environment is proposed for the conceptual designing of advanced nuclear reactor system. It is composed of (i) object-oriented frame-structure database which represents the hierarchical relationship of the composite elements of reactor core and the physical properties, and (ii) object-oriented modularization of the elementary calculation processes, which are needed for reactor core design analysis. As an example practise, an object-oriented frame structure is constructed for representing a 3D configuration of a special fuel element of a space reactor design, by using a general-purpose expert system shell ESHELL/X. (author)

  10. Spectrotemporal modulation sensitivity for hearing-impaired listeners: dependence on carrier center frequency and the relationship to speech intelligibility.

    Science.gov (United States)

    Mehraei, Golbarg; Gallun, Frederick J; Leek, Marjorie R; Bernstein, Joshua G W

    2014-07-01

    Poor speech understanding in noise by hearing-impaired (HI) listeners is only partly explained by elevated audiometric thresholds. Suprathreshold-processing impairments such as reduced temporal or spectral resolution or temporal fine-structure (TFS) processing ability might also contribute. Although speech contains dynamic combinations of temporal and spectral modulation and TFS content, these capabilities are often treated separately. Modulation-depth detection thresholds for spectrotemporal modulation (STM) applied to octave-band noise were measured for normal-hearing and HI listeners as a function of temporal modulation rate (4-32 Hz), spectral ripple density [0.5-4 cycles/octave (c/o)] and carrier center frequency (500-4000 Hz). STM sensitivity was worse than normal for HI listeners only for a low-frequency carrier (1000 Hz) at low temporal modulation rates (4-12 Hz) and a spectral ripple density of 2 c/o, and for a high-frequency carrier (4000 Hz) at a high spectral ripple density (4 c/o). STM sensitivity for the 4-Hz, 4-c/o condition for a 4000-Hz carrier and for the 4-Hz, 2-c/o condition for a 1000-Hz carrier were correlated with speech-recognition performance in noise after partialling out the audiogram-based speech-intelligibility index. Poor speech-reception and STM-detection performance for HI listeners may be related to a combination of reduced frequency selectivity and a TFS-processing deficit limiting the ability to track spectral-peak movements.

  11. Does supporting multiple student strategies lead to greater learning and motivation? Investigating a source of complexity in the architecture of intelligent tutoring systems

    NARCIS (Netherlands)

    Waalkens, Maaike; Aleven, Vincent; Taatgen, Niels

    Intelligent tutoring systems (ITS) support students in learning a complex problem-solving skill. One feature that makes an ITS architecturally complex, and hard to build, is support for strategy freedom, that is, the ability to let students pursue multiple solution strategies within a given problem.

  12. Investigation of Hotline Allegation of a Questionable Intelligence Activity Concerning the Joint Improvised Explosive Device Defeat Organization (JIEDDO), Counter-IED Operations/Intelligence Integration Center (COIC) (REDACTED)

    Science.gov (United States)

    2014-04-04

    Secretary of Defense for lntelligenre Oversight ATSD (10) m::~ intain that DoDD 2000.1 9E granted JIED DO thP authority to conduct intelligence...arrival, receive annual refresher training in 10 and are formally tested on their knowledge tailored to specifi c unit miss ions. Formal testing developed...one or more of thP natural or social sclencPs, engineering, or milltary science, but do not demand, as a primary qualifica tion requirement, f ull

  13. User-centered design to improve clinical decision support in primary care.

    Science.gov (United States)

    Brunner, Julian; Chuang, Emmeline; Goldzweig, Caroline; Cain, Cindy L; Sugar, Catherine; Yano, Elizabeth M

    2017-08-01

    A growing literature has demonstrated the ability of user-centered design to make clinical decision support systems more effective and easier to use. However, studies of user-centered design have rarely examined more than a handful of sites at a time, and have frequently neglected the implementation climate and organizational resources that influence clinical decision support. The inclusion of such factors was identified by a systematic review as "the most important improvement that can be made in health IT evaluations." (1) Identify the prevalence of four user-centered design practices at United States Veterans Affairs (VA) primary care clinics and assess the perceived utility of clinical decision support at those clinics; (2) Evaluate the association between those user-centered design practices and the perceived utility of clinical decision support. We analyzed clinic-level survey data collected in 2006-2007 from 170 VA primary care clinics. We examined four user-centered design practices: 1) pilot testing, 2) provider satisfaction assessment, 3) formal usability assessment, and 4) analysis of impact on performance improvement. We used a regression model to evaluate the association between user-centered design practices and the perceived utility of clinical decision support, while accounting for other important factors at those clinics, including implementation climate, available resources, and structural characteristics. We also examined associations separately at community-based clinics and at hospital-based clinics. User-centered design practices for clinical decision support varied across clinics: 74% conducted pilot testing, 62% conducted provider satisfaction assessment, 36% conducted a formal usability assessment, and 79% conducted an analysis of impact on performance improvement. Overall perceived utility of clinical decision support was high, with a mean rating of 4.17 (±.67) out of 5 on a composite measure. "Analysis of impact on performance

  14. The Schwartz Center Rounds: evaluation of an interdisciplinary approach to enhancing patient-centered communication, teamwork, and provider support.

    Science.gov (United States)

    Lown, Beth A; Manning, Colleen F

    2010-06-01

    To assess the impact of Schwartz Center Rounds, an interdisciplinary forum where attendees discuss psychosocial and emotional aspects of patient care. The authors investigated changes in attendees' self-reported behaviors and beliefs about patient care, sense of teamwork, stress, and personal support. In 2006-2007, researchers conducted retrospective surveys of attendees at six sites offering Schwartz Center Rounds ("the Rounds") for > or =3 years and prospective surveys of attendees at 10 new Rounds sites that have held > or =7 Rounds. Most of the retrospective survey respondents indicated that attending Rounds enhanced their likelihood of attending to psychosocial and emotional aspects of care and enhanced their beliefs about the importance of empathy. Respondents reported better teamwork, including heightened appreciation of the roles and contributions of colleagues. There were significant decreases in perceived stress (P teamwork (both: P communication, teamwork, and provider support. The impact on measured outcomes increased with the number of Rounds attended. The Rounds represent an effective strategy for providing support to health care professionals and for enhancing relationships among them and with their patients.

  15. Monitoring and operational support on nuclear power plants using an artificial intelligence system

    International Nuclear Information System (INIS)

    Bianchi, P.H.; Baptista Filho, B.D.

    2009-01-01

    The monitoring task in nuclear power plants is of crucial importance with respect to safety and efficient operation. The operators have a wide range of variables to observe and analyze; the quantity of variables and their behavior determine the time they have to take correct decisions. The complexity of such aspects in a nuclear power plant influences both, the plant operational efficiency and the general safety issues. This paper describes an experimental system developed by the authors which aims to assist the operators of nuclear power plants to take quick and safe decisions. The system maps the status of plant and helps the operators to make quick judgments by using artificial intelligence methods. The method makes use of a small set of monitored variables and presents a map of the plant status in a friendly manner. This system uses an architecture that has multiple self-organizing maps to perform these tasks. (author)

  16. A framework to support human factors of automation in railway intelligent infrastructure.

    Science.gov (United States)

    Dadashi, Nastaran; Wilson, John R; Golightly, David; Sharples, Sarah

    2014-01-01

    Technological and organisational advances have increased the potential for remote access and proactive monitoring of the infrastructure in various domains and sectors - water and sewage, oil and gas and transport. Intelligent Infrastructure (II) is an architecture that potentially enables the generation of timely and relevant information about the state of any type of infrastructure asset, providing a basis for reliable decision-making. This paper reports an exploratory study to understand the concepts and human factors associated with II in the railway, largely drawing from structured interviews with key industry decision-makers and attachment to pilot projects. Outputs from the study include a data-processing framework defining the key human factors at different levels of the data structure within a railway II system and a system-level representation. The framework and other study findings will form a basis for human factors contributions to systems design elements such as information interfaces and role specifications.

  17. Monitoring and operational support on nuclear power plants using an artificial intelligence system

    Energy Technology Data Exchange (ETDEWEB)

    Bianchi, Paulo H.; Baptista Filho, Benedito D., E-mail: phbianchi@gmail.co, E-mail: bdbfilho@ipen.b [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)

    2009-07-01

    The monitoring task in nuclear power plants is of crucial importance with respect to safety and efficient operation. The operators have a wide range of variables to observe and analyze; the quantity of variables and their behavior determine the time they have to take correct decisions. The complexity of such aspects in a nuclear power plant influences both, the plant operational efficiency and the general safety issues. This paper describes an experimental system developed by the authors which aims to assist the operators of nuclear power plants to take quick and safe decisions. The system maps the status of plant and helps the operators to make quick judgments by using artificial intelligence methods. The method makes use of a small set of monitored variables and presents a map of the plant status in a friendly manner. This system uses an architecture that has multiple self-organizing maps to perform these tasks. (author)

  18. An Intelligent Clinical Decision Support System for Patient-Specific Predictions to Improve Cervical Intraepithelial Neoplasia Detection

    Directory of Open Access Journals (Sweden)

    Panagiotis Bountris

    2014-01-01

    Full Text Available Nowadays, there are molecular biology techniques providing information related to cervical cancer and its cause: the human Papillomavirus (HPV, including DNA microarrays identifying HPV subtypes, mRNA techniques such as nucleic acid based amplification or flow cytometry identifying E6/E7 oncogenes, and immunocytochemistry techniques such as overexpression of p16. Each one of these techniques has its own performance, limitations and advantages, thus a combinatorial approach via computational intelligence methods could exploit the benefits of each method and produce more accurate results. In this article we propose a clinical decision support system (CDSS, composed by artificial neural networks, intelligently combining the results of classic and ancillary techniques for diagnostic accuracy improvement. We evaluated this method on 740 cases with complete series of cytological assessment, molecular tests, and colposcopy examination. The CDSS demonstrated high sensitivity (89.4%, high specificity (97.1%, high positive predictive value (89.4%, and high negative predictive value (97.1%, for detecting cervical intraepithelial neoplasia grade 2 or worse (CIN2+. In comparison to the tests involved in this study and their combinations, the CDSS produced the most balanced results in terms of sensitivity, specificity, PPV, and NPV. The proposed system may reduce the referral rate for colposcopy and guide personalised management and therapeutic interventions.

  19. Design and Implementation of a Wireless Sensor and Actuator Network to Support the Intelligent Control of Efficient Energy Usage.

    Science.gov (United States)

    Blanco, Jesús; García, Andrés; Morenas, Javier de Las

    2018-06-09

    Energy saving has become a major concern for the developed society of our days. This paper presents a Wireless Sensor and Actuator Network (WSAN) designed to provide support to an automatic intelligent system, based on the Internet of Things (IoT), which enables a responsible consumption of energy. The proposed overall system performs an efficient energetic management of devices, machines and processes, optimizing their operation to achieve a reduction in their overall energy usage at any given time. For this purpose, relevant data is collected from intelligent sensors, which are in-stalled at the required locations, as well as from the energy market through the Internet. This information is analysed to provide knowledge about energy utilization, and to improve efficiency. The system takes autonomous decisions automatically, based on the available information and the specific requirements in each case. The proposed system has been implanted and tested in a food factory. Results show a great optimization of energy efficiency and a substantial improvement on energy and costs savings.

  20. An intelligent clinical decision support system for patient-specific predictions to improve cervical intraepithelial neoplasia detection.

    Science.gov (United States)

    Bountris, Panagiotis; Haritou, Maria; Pouliakis, Abraham; Margari, Niki; Kyrgiou, Maria; Spathis, Aris; Pappas, Asimakis; Panayiotides, Ioannis; Paraskevaidis, Evangelos A; Karakitsos, Petros; Koutsouris, Dimitrios-Dionyssios

    2014-01-01

    Nowadays, there are molecular biology techniques providing information related to cervical cancer and its cause: the human Papillomavirus (HPV), including DNA microarrays identifying HPV subtypes, mRNA techniques such as nucleic acid based amplification or flow cytometry identifying E6/E7 oncogenes, and immunocytochemistry techniques such as overexpression of p16. Each one of these techniques has its own performance, limitations and advantages, thus a combinatorial approach via computational intelligence methods could exploit the benefits of each method and produce more accurate results. In this article we propose a clinical decision support system (CDSS), composed by artificial neural networks, intelligently combining the results of classic and ancillary techniques for diagnostic accuracy improvement. We evaluated this method on 740 cases with complete series of cytological assessment, molecular tests, and colposcopy examination. The CDSS demonstrated high sensitivity (89.4%), high specificity (97.1%), high positive predictive value (89.4%), and high negative predictive value (97.1%), for detecting cervical intraepithelial neoplasia grade 2 or worse (CIN2+). In comparison to the tests involved in this study and their combinations, the CDSS produced the most balanced results in terms of sensitivity, specificity, PPV, and NPV. The proposed system may reduce the referral rate for colposcopy and guide personalised management and therapeutic interventions.

  1. Time Series Analysis and Forecasting for Wind Speeds Using Support Vector Regression Coupled with Artificial Intelligent Algorithms

    Directory of Open Access Journals (Sweden)

    Ping Jiang

    2015-01-01

    Full Text Available Wind speed/power has received increasing attention around the earth due to its renewable nature as well as environmental friendliness. With the global installed wind power capacity rapidly increasing, wind industry is growing into a large-scale business. Reliable short-term wind speed forecasts play a practical and crucial role in wind energy conversion systems, such as the dynamic control of wind turbines and power system scheduling. In this paper, an intelligent hybrid model for short-term wind speed prediction is examined; the model is based on cross correlation (CC analysis and a support vector regression (SVR model that is coupled with brainstorm optimization (BSO and cuckoo search (CS algorithms, which are successfully utilized for parameter determination. The proposed hybrid models were used to forecast short-term wind speeds collected from four wind turbines located on a wind farm in China. The forecasting results demonstrate that the intelligent hybrid models outperform single models for short-term wind speed forecasting, which mainly results from the superiority of BSO and CS for parameter optimization.

  2. Intelligence in Artificial Intelligence

    OpenAIRE

    Datta, Shoumen Palit Austin

    2016-01-01

    The elusive quest for intelligence in artificial intelligence prompts us to consider that instituting human-level intelligence in systems may be (still) in the realm of utopia. In about a quarter century, we have witnessed the winter of AI (1990) being transformed and transported to the zenith of tabloid fodder about AI (2015). The discussion at hand is about the elements that constitute the canonical idea of intelligence. The delivery of intelligence as a pay-per-use-service, popping out of ...

  3. Intelligent personal navigator supported by knowledge-based systems for estimating dead reckoning navigation parameters

    Science.gov (United States)

    Moafipoor, Shahram

    Personal navigators (PN) have been studied for about a decade in different fields and applications, such as safety and rescue operations, security and emergency services, and police and military applications. The common goal of all these applications is to provide precise and reliable position, velocity, and heading information of each individual in various environments. In the PN system developed in this dissertation, the underlying assumption is that the system does not require pre-existing infrastructure to enable pedestrian navigation. To facilitate this capability, a multisensor system concept, based on the Global Positioning System (GPS), inertial navigation, barometer, magnetometer, and a human pedometry model has been developed. An important aspect of this design is to use the human body as navigation sensor to facilitate Dead Reckoning (DR) navigation in GPS-challenged environments. The system is designed predominantly for outdoor environments, where occasional loss of GPS lock may happen; however, testing and performance demonstration have been extended to indoor environments. DR navigation is based on a relative-measurement approach, with the key idea of integrating the incremental motion information in the form of step direction (SD) and step length (SL) over time. The foundation of the intelligent navigation system concept proposed here rests in exploiting the human locomotion pattern, as well as change of locomotion in varying environments. In this context, the term intelligent navigation represents the transition from the conventional point-to-point DR to dynamic navigation using the knowledge about the mechanism of the moving person. This approach increasingly relies on integrating knowledge-based systems (KBS) and artificial intelligence (AI) methodologies, including artificial neural networks (ANN) and fuzzy logic (FL). In addition, a general framework of the quality control for the real-time validation of the DR processing is proposed, based on a

  4. An Intelligent System Prototype to support and sharing diagnoses of maligned tumours, based on personalized medicine philosophy

    Directory of Open Access Journals (Sweden)

    Víctor Manuel Flores Fonseca

    2016-12-01

    Full Text Available Circulatory systems diseases are one of the most important causes of death in Chilean population according to a report presented by the Chilean National Bureau of Statistics (INE. Undoubtedly, these sad numbers arise an opportunity to analyse ways to improve this situation. Personalized Medicine is a new approach used to adapt standard medical treatments to individual characteristics of patients. Currently, several kinds of personalized-medicine software applications are building using Artificial Intelligent techniques and supported by techniques as Cloud Computing and Big Data. This architecture provides complex and varied information access, such as clinical data, genome data, patients’ treatment or drugs information, among others. This document describes a proposal to produce a method for generating and sharing medical information, particularly of maligned tumors in Chile. The prototype will be developed within the framework of the personalized medicine.

  5. STAR- A SIMPLE TOOL FOR AUTOMATED REASONING SUPPORTING HYBRID APPLICATIONS OF ARTIFICIAL INTELLIGENCE (UNIX VERSION)

    Science.gov (United States)

    Borchardt, G. C.

    1994-01-01

    The Simple Tool for Automated Reasoning program (STAR) is an interactive, interpreted programming language for the development and operation of artificial intelligence (AI) application systems. STAR provides an environment for integrating traditional AI symbolic processing with functions and data structures defined in compiled languages such as C, FORTRAN and PASCAL. This type of integration occurs in a number of AI applications including interpretation of numerical sensor data, construction of intelligent user interfaces to existing compiled software packages, and coupling AI techniques with numerical simulation techniques and control systems software. The STAR language was created as part of an AI project for the evaluation of imaging spectrometer data at NASA's Jet Propulsion Laboratory. Programming in STAR is similar to other symbolic processing languages such as LISP and CLIP. STAR includes seven primitive data types and associated operations for the manipulation of these structures. A semantic network is used to organize data in STAR, with capabilities for inheritance of values and generation of side effects. The AI knowledge base of STAR can be a simple repository of records or it can be a highly interdependent association of implicit and explicit components. The symbolic processing environment of STAR may be extended by linking the interpreter with functions defined in conventional compiled languages. These external routines interact with STAR through function calls in either direction, and through the exchange of references to data structures. The hybrid knowledge base may thus be accessed and processed in general by either side of the application. STAR is initially used to link externally compiled routines and data structures. It is then invoked to interpret the STAR rules and symbolic structures. In a typical interactive session, the user enters an expression to be evaluated, STAR parses the input, evaluates the expression, performs any file input

  6. STAR- A SIMPLE TOOL FOR AUTOMATED REASONING SUPPORTING HYBRID APPLICATIONS OF ARTIFICIAL INTELLIGENCE (DEC VAX VERSION)

    Science.gov (United States)

    Borchardt, G. C.

    1994-01-01

    The Simple Tool for Automated Reasoning program (STAR) is an interactive, interpreted programming language for the development and operation of artificial intelligence (AI) application systems. STAR provides an environment for integrating traditional AI symbolic processing with functions and data structures defined in compiled languages such as C, FORTRAN and PASCAL. This type of integration occurs in a number of AI applications including interpretation of numerical sensor data, construction of intelligent user interfaces to existing compiled software packages, and coupling AI techniques with numerical simulation techniques and control systems software. The STAR language was created as part of an AI project for the evaluation of imaging spectrometer data at NASA's Jet Propulsion Laboratory. Programming in STAR is similar to other symbolic processing languages such as LISP and CLIP. STAR includes seven primitive data types and associated operations for the manipulation of these structures. A semantic network is used to organize data in STAR, with capabilities for inheritance of values and generation of side effects. The AI knowledge base of STAR can be a simple repository of records or it can be a highly interdependent association of implicit and explicit components. The symbolic processing environment of STAR may be extended by linking the interpreter with functions defined in conventional compiled languages. These external routines interact with STAR through function calls in either direction, and through the exchange of references to data structures. The hybrid knowledge base may thus be accessed and processed in general by either side of the application. STAR is initially used to link externally compiled routines and data structures. It is then invoked to interpret the STAR rules and symbolic structures. In a typical interactive session, the user enters an expression to be evaluated, STAR parses the input, evaluates the expression, performs any file input

  7. Um estudo de caso envolvendo Business Intelligence como instrumento de apoio à controladoria A case study of Business Intelligence as instrument to support controllership

    Directory of Open Access Journals (Sweden)

    Luciane Reginato

    2007-06-01

    Full Text Available Esta pesquisa buscou investigar a contribuição das ferramentas da tecnologia da informação, especificamente as de Business Intelligence (BI, para a área de controladoria exercer sua função de suprir o processo decisório com as informações úteis por ele requeridas. O estudo foi conduzido através de pesquisa de campo, especialmente de um estudo de caso, em que o assunto pôde ser analisado em detalhes. Para tanto, foram aplicadas entrevistas, orientadas por um roteiro construído para esse fim e por um protocolo previamente elaborado para o estudo, bem como foram analisados documentos internos, registros em arquivos e observação direta como fonte de evidências. O período de abrangência da análise dos dados foi de agosto de 2003 a dezembro de 2005, tendo sido possível observar a situação da empresa objeto do estudo antes e depois da implementação das ferramentas de BI. Após a análise das entrevistas, dos indicadores das áreas e de seu impacto no resultado global da empresa, concluiu-se que as referidas ferramentas podem auxiliar a controladoria na função de prover informações confiáveis, úteis e tempestivas ao processo decisório, por meio de sua flexibilização e dinamicidade, proporcionando, como conseqüência, a melhoria dos resultados das áreas organizacionais, bem como da empresa como um todo.This research examined the contribution of tools provided by Information Technology and specifically Business Intelligence (BI, for the controllership area to perform its function of supporting the decision-making process with useful information. The study was carried out through a field research, specifically a case study, in which the subject could be analyzed in detail. Therefore, interviews were held, guided by a structured script and by a previously elaborated form. Internal documents, files and direct observations were also analyzed as sources of evidence. The period covered by data analysis was from August 2003

  8. [Study of the work and of working in Family Health Care Support Center].

    Science.gov (United States)

    Lancman, Selma; Gonçalves, Rita Maria de Abreu; Cordone, Nicole Guimarães; Barros, Juliana de Oliveira

    2013-10-01

    To understand the organization of and the working conditions in family health care support centers, as well as subjective experiences related to work in two of these centers. This was a case study carried out during 2011 and 2012 in two family health care support centers in Sao Paulo, Southeastern Brazil. Data were collected and analyzed using two theoretical-methodological references from ergonomics and work psychodynamics influenced, respectively, by ergonomic work analysis, developed based on open observations of a variety of tasks and on interviews and in practice in work psychodynamics, carried out using think tanks about the work. The work of the Family Health Care Support Centers in question is constituted on the bases of complex, diversified actions to be shared among the various professionals and teams involved. Innovative technological tools, which are not often adopted by primary health care professionals, are used and the parameters and productivity measures do not encompass the specificity and the complexity of the work performed. These situations require constant organizational rearrangement, especially between the Family Health Care Support Centers and the Family Health Care Teams, causing difficulties in carrying out the work as well as in constituting the identity of the professionals studied. The study attempts to lend greater visibility to the work processes at the Family Health Care Support Centers in order to contribute to advances in public policy on primary healthcare. It is important to stress that introducing changes at work, which affect both its organization and work conditions, is above all a commitment, which to be effective, must be permanent and must involve the different levels of hierarchy.

  9. Supporting Multi-agent Coordination and Computational Collective Intelligence in Enterprise 2.0 Platform

    Directory of Open Access Journals (Sweden)

    Seddik Reguieg

    2017-12-01

    Full Text Available In this paper, we propose a novel approach utilizing a professional Social network (Pro Social Network and a new coordination protocol (CordiNet. Our motivation behind this article is to convince Small and Medium Enterprises managers that current organizations have chosen to use Enterprise 2.0 tools because these latter have demonstrated remarkable innovation as well as successful collaboration and collective intelligence. The particularity of our work is that is allows employer to share diagnosis and fault repair procedures on the basis of some modeling agents. In fact, each enterprise is represented by a container of agents to ensure a secured and confidential information exchange between intra employers, and a central main container to connect all enterprises’ containers for a social information exchange. Enterprise’s container consists of a Checker Enterprise Agent (ChEA, a Coordinator Enterprise Agent (CoEA and a Search Enterprise Agent (SeEA. Whereas the central main container comprises its proper agents such as Selection Agent (SA, and a Supervisor Agent (SuA. JADE platform is used to allow agents to communicate and collaborate. The FIPA-ACL performatives have been extended for this purpose. We conduct some experiments to demonstrate the feasibility of our approach.

  10. Intelligent Terrain Analysis and Tactical Support System (ITATSS) for Unmanned Ground Vehicles

    National Research Council Canada - National Science Library

    Jones, Randolph M; Arkin, Ron; Sidki, Nahid

    2005-01-01

    ...). The system enable unmanned combat and support vehicles to achieve significant new levels of autonomy, mobility, rapid response, coordination and effectiveness, while simultaneously enriching human...

  11. Study of the Military Intelligence Support to Domestic Law Enforcement in Counterdrug and Counterterrorism Operations

    Science.gov (United States)

    2012-06-08

    Comitatus Act, and the resulting societal reactions.8 This work examined how federal troops deployed to enforce the law in industrial, social and...by Carnegie Mellon University, Institute for Software Research International, and the Center for Computational Analysis of Social and Organizational...triangulation purposes.52 Director Barton stated that information collected should be reposed into agency databases, as information collected, processed

  12. Effects of perceived educational support on usage of an internet nursing reference center.

    Science.gov (United States)

    Marshall, Brenda L; Sabbagh, Lia

    2015-04-01

    The need for evidence-based practice in nursing is well established; however, the efficacy of providing online research resources to nurses delivering care at the bedside has yet to undergo empirical testing. This study evaluated the impact of minimal educational support by a nurse researcher on nurses' usage of a hospital-based online nursing reference center. This randomized, comparison group design feasibility study was conducted at a suburban medical center. Real-time RN usage of an online nursing reference center was collected over 10 months (August to May), with the comparative intervention occurring for seven of the 10 months (September to March). Independent samples t tests and analysis of variance demonstrated that nurses receiving weekly or biweekly visits from an educator had significantly higher usage of the reference center. Nurses who received minimal educational support through weekly and biweekly brief, verbally supportive visits from a nurse researcher were significantly higher users of the online nurse reference center than those receiving in-services only. Copyright 2015, SLACK Incorporated.

  13. The Intelligent Ventilator Project: Application of Physiological Models in Decision Support

    DEFF Research Database (Denmark)

    Rees, Stephen Edward; Karbing, Dan Stieper; Allerød, Charlotte

    2011-01-01

    Management of mechanical ventilation in intensive care patients is complicated by conflicting clinical goals. Decision support systems (DSS) may support clinicians in finding the correct balance. The objective of this study was to evaluate a computerized model-based DSS for its advice on inspired...

  14. Family Members' Views on Seeking Placement in State-Supported Living Centers in Texas

    Science.gov (United States)

    Colvin, Alex D.; Larke, Patricia J.

    2013-01-01

    This study investigated the factors that influence family members' decisions to seek placement for relatives with intellectual and/or developmental disabilities (ID/DD) into state-supported living centers in Texas. The sample included 51 family caregivers between the ages of 26 and 95. Using descriptive statistics, correlation, and inferential…

  15. Design of a consumer health record for supporting the patient-centered management of chronic diseases.

    NARCIS (Netherlands)

    de Clerq, P.A.; Hasman, A.; Wolffenbuttel, B.H.R.

    2001-01-01

    : Medinfo 2001;10(Pt 2):1445-9 Related Articles, Books, LinkOut Design of a consumer health record for supporting the patient-centered management of chronic diseases. de Clercq PA, Hasman A, Wolffenbuttel BH. Department of Medical Informatics, University of Maastricht, Maastricht, The Netherlands.

  16. Using the Multicultural Family Support Centers and Adjustment among Interethnic and Interracial Families in South Korea

    Science.gov (United States)

    Chung, Grace H.; Yoo, Joan P.

    2013-01-01

    The present study proposes a model of using the Multicultural Family Support Centers and adjustment among foreign brides and their interethnic and interracial families in South Korea based on the narratives of 10 foreign brides married to Korean men and 11 service providers who directly interact with these women and their families. The results…

  17. State of the Art Student Support Services in an IEP Learning Center

    Science.gov (United States)

    Hanson, Jessica; Maxwell, Jeffrey; Mulder, Monika

    2015-01-01

    Intensive English language programs (IEPs) at American universities have the task of recruiting, retaining, and preparing international students for mainstream classes. In order to achieve these tasks, many programs have explored using supplemental instruction (SI) in the form of learning centers (LCs) to support their students. In this study, we…

  18. Environmental control and life support testing at the Marshall Space Flight Center

    Science.gov (United States)

    Schunk, Richard G.; Humphries, William R.

    1987-01-01

    The Space Station Environmental Control and Life Support System (ECLSS) test program at the Marshall Space Flight Center (MSFC) is addressed. The immediate goals and current activities of the test program are discussed. Also described are the Core Module Integration Facility (CMIF) and the initial ECLSS test configuration. Future plans for the ECLSS test program and the CMIF are summarized.

  19. Lessons for the new CMS innovation center from the Medicare health support program.

    Science.gov (United States)

    Barr, Michael S; Foote, Sandra M; Krakauer, Randall; Mattingly, Patrick H

    2010-07-01

    The Patient Protection and Affordable Care Act establishes a new Center for Medicare and Medicaid Innovation in the Centers for Medicare and Medicaid Services (CMS). The center is intended to enhance the CMS's role in promoting much-needed improvements in payment and service delivery. Lessons from the Medicare Health Support Program, a chronic care pilot program that ran between 2005 and 2008, illustrate the value of drawing on experience in planning for the center and future pilot programs. The lessons include the importance of strong leadership; collaboration and flexibility to foster innovation; receptivity of beneficiaries to care management; and the need for timely data on patients' status. The lessons also highlight pitfalls to be avoided in planning future pilot programs, such as flawed strategies for selecting populations to target when testing payment and service delivery reforms.

  20. An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients.

    Science.gov (United States)

    Barbieri, Carlo; Molina, Manuel; Ponce, Pedro; Tothova, Monika; Cattinelli, Isabella; Ion Titapiccolo, Jasmine; Mari, Flavio; Amato, Claudia; Leipold, Frank; Wehmeyer, Wolfgang; Stuard, Stefano; Stopper, Andrea; Canaud, Bernard

    2016-08-01

    Managing anemia in hemodialysis patients can be challenging because of competing therapeutic targets and individual variability. Because therapy recommendations provided by a decision support system can benefit both patients and doctors, we evaluated the impact of an artificial intelligence decision support system, the Anemia Control Model (ACM), on anemia outcomes. Based on patient profiles, the ACM was built to recommend suitable erythropoietic-stimulating agent doses. Our retrospective study consisted of a 12-month control phase (standard anemia care), followed by a 12-month observation phase (ACM-guided care) encompassing 752 patients undergoing hemodialysis therapy in 3 NephroCare clinics located in separate countries. The percentage of hemoglobin values on target, the median darbepoetin dose, and individual hemoglobin fluctuation (estimated from the intrapatient hemoglobin standard deviation) were deemed primary outcomes. In the observation phase, median darbepoetin consumption significantly decreased from 0.63 to 0.46 μg/kg/month, whereas on-target hemoglobin values significantly increased from 70.6% to 76.6%, reaching 83.2% when the ACM suggestions were implemented. Moreover, ACM introduction led to a significant decrease in hemoglobin fluctuation (intrapatient standard deviation decreased from 0.95 g/dl to 0.83 g/dl). Thus, ACM support helped improve anemia outcomes of hemodialysis patients, minimizing erythropoietic-stimulating agent use with the potential to reduce the cost of treatment. Copyright © 2016 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

  1. Providing Open-Access Know How for Directors of Quantitative and Mathematics Support Centers

    Directory of Open Access Journals (Sweden)

    Michael Schuckers

    2017-01-01

    Full Text Available The purpose of this editorial is to introduce the quantitative literacy community to the newly published A Handbook for Directors of Quantitative and Mathematics Centers. QMaSCs (pronounced “Q-masks” can be broadly defined as centers that have supporting students in quantitative fields of study as part of their mission. Some focus only on calculus or mathematics; others concentrate on numeracy or quantitative literacy, and some do all of that. A QMaSC may be embedded in a mathematics department, or part of a learning commons, or a stand-alone center. There are hundreds of these centers in the U.S. The new handbook, which is the outgrowth of a 2013 NSF-sponsored, national workshop attended by 23 QMaSC directors from all quarters of the U.S., is available open access on the USF Scholar Commons and in hard copy from Amazon.com. This editorial by the handbook’s editors provides background and overview of the 20 detailed chapters on center leadership and management; community interactions; staffing, hiring and training; center assessment; and starting a center; and then a collection of ten case studies from research universities, four-year state colleges, liberal arts colleges, and a community college. The editorial ends by pointing out the need and potential benefits of a professional organization for QMaSC directors.

  2. Artificial Intelligence: An Analysis of the Technology for Training. Training and Development Research Center Project Number Fourteen.

    Science.gov (United States)

    Sayre, Scott Alan

    The ultimate goal of the science of artificial intelligence (AI) is to establish programs that will use algorithmic computer techniques to imitate the heuristic thought processes of humans. Most AI programs, especially expert systems, organize their knowledge into three specific areas: data storage, a rule set, and a control structure. Limitations…

  3. 28 CFR 16.82 - Exemption of the National Drug Intelligence Center Data Base-limited access.

    Science.gov (United States)

    2010-07-01

    ... (including those responsible for civil proceedings related to laws against drug trafficking); lead to the... laws and regulations regarding drug trafficking and charged with the acquisition of intelligence related to international aspects of drug trafficking. This consideration applies equally to information...

  4. Artificial intelligence techniques applied to the development of a decision–support system for diagnosing celiac disease

    Science.gov (United States)

    Tenório, Josceli Maria; Hummel, Anderson Diniz; Cohrs, Frederico Molina; Sdepanian, Vera Lucia; Pisa, Ivan Torres; de Fátima Marin, Heimar

    2013-01-01

    Background Celiac disease (CD) is a difficult-to-diagnose condition because of its multiple clinical presentations and symptoms shared with other diseases. Gold-standard diagnostic confirmation of suspected CD is achieved by biopsying the small intestine. Objective To develop a clinical decision–support system (CDSS) integrated with an automated classifier to recognize CD cases, by selecting from experimental models developed using intelligence artificial techniques. Methods A web-based system was designed for constructing a retrospective database that included 178 clinical cases for training. Tests were run on 270 automated classifiers available in Weka 3.6.1 using five artificial intelligence techniques, namely decision trees, Bayesian inference, k-nearest neighbor algorithm, support vector machines and artificial neural networks. The parameters evaluated were accuracy, sensitivity, specificity and area under the ROC curve (AUC). AUC was used as a criterion for selecting the CDSS algorithm. A testing database was constructed including 38 clinical CD cases for CDSS evaluation. The diagnoses suggested by CDSS were compared with those made by physicians during patient consultations. Results The most accurate method during the training phase was the averaged one-dependence estimator (AODE) algorithm (a Bayesian classifier), which showed accuracy 80.0%, sensitivity 0.78, specificity 0.80 and AUC 0.84. This classifier was integrated into the web-based decision–support system. The gold-standard validation of CDSS achieved accuracy of 84.2% and k = 0.68 (p < 0.0001) with good agreement. The same accuracy was achieved in the comparison between the physician’s diagnostic impression and the gold standard k = 0. 64 (p < 0.0001). There was moderate agreement between the physician’s diagnostic impression and CDSS k = 0.46 (p = 0.0008). Conclusions The study results suggest that CDSS could be used to help in diagnosing CD, since the algorithm tested achieved excellent

  5. [Outline and effectiveness of support system in the surgical center by supply, processing and distribution center (SPD)].

    Science.gov (United States)

    Ito, Nobuko; Chinzei, Mieko; Fujiwara, Haruko; Usui, Hisako; Hanaoka, Kazuo; Saitoh, Eisho

    2006-04-01

    Supply, Processing and Distribution system had been introduced to surgical center (the University of Tokyo Hospital) since October of 2002. This system had reduced stock for medicine and materials and decreased medical cost dramatically. We designed some kits for therapeutic drugs related to anesthesia. They were prepared for general anesthesia, epidural and spinal anesthesia, and cardiovascular anesthesia, respectively. One kit had been used for one patient, and new kits were prepared in the anesthesia preparation room by pharmaceutical department staffs. Equipment, for general anesthesia as well as epidural and spinal anesthesia, and central catheter set were also designed and provided for each patient by SPD system. According to the questionnaire of anesthesia residents before and after introduction of SPD system, the time spent for anesthesia preparation had been reduced and 92.3% residents had answered that preparation for anesthesia on the previous day was getting easier. Most of the anesthesia residents had been less stressed after introduction of SPD system. Beside the dramatic economical effect, coordination with SPD system and pharmaceutical department reduced anesthesia preparation time and stress of the staff. Introduction of Support system of SPD to surgical center is important for safe and effective management of operating rooms.

  6. Intelligent Optics Laboratory

    Data.gov (United States)

    Federal Laboratory Consortium — The Intelligent Optics Laboratory supports sophisticated investigations on adaptive and nonlinear optics; advancedimaging and image processing; ground-to-ground and...

  7. Language-based communication strategies that support person-centered communication with persons with dementia.

    Science.gov (United States)

    Savundranayagam, Marie Y; Moore-Nielsen, Kelsey

    2015-10-01

    There are many recommended language-based strategies for effective communication with persons with dementia. What is unknown is whether effective language-based strategies are also person centered. Accordingly, the objective of this study was to examine whether language-based strategies for effective communication with persons with dementia overlapped with the following indicators of person-centered communication: recognition, negotiation, facilitation, and validation. Conversations (N = 46) between staff-resident dyads were audio-recorded during routine care tasks over 12 weeks. Staff utterances were coded twice, using language-based and person-centered categories. There were 21 language-based categories and 4 person-centered categories. There were 5,800 utterances transcribed: 2,409 without indicators, 1,699 coded as language or person centered, and 1,692 overlapping utterances. For recognition, 26% of utterances were greetings, 21% were affirmations, 13% were questions (yes/no and open-ended), and 15% involved rephrasing. Questions (yes/no, choice, and open-ended) comprised 74% of utterances that were coded as negotiation. A similar pattern was observed for utterances coded as facilitation where 51% of utterances coded as facilitation were yes/no questions, open-ended questions, and choice questions. However, 21% of facilitative utterances were affirmations and 13% involved rephrasing. Finally, 89% of utterances coded as validation were affirmations. The findings identify specific language-based strategies that support person-centered communication. However, between 1 and 4, out of a possible 21 language-based strategies, overlapped with at least 10% of utterances coded as each person-centered indicator. This finding suggests that staff need training to use more diverse language strategies that support personhood of residents with dementia.

  8. The Intelligent Ventilator Project: Application of Physiological Models in Decision Support

    DEFF Research Database (Denmark)

    Rees, Stephen Edward; Karbing, Dan Stieper; Allerød, Charlotte

    2011-01-01

    Management of mechanical ventilation in intensive care patients is complicated by conflicting clinical goals. Decision support systems (DSS) may support clinicians in finding the correct balance. The objective of this study was to evaluate a computerized model-based DSS for its advice on inspired...... in cardiac output (CO) was evaluated. Compared to the baseline ventilator settings set as part of routine clinical care, the system suggested lower tidal volumes and inspired oxygen fraction, but higher frequency, with all suggestions and the model simulated outcome comparing well with the respiratory goals...

  9. The Importance of Trust in the Adoption and Use of Intelligent Assistive Technology by Older Adults to Support Aging in Place: Scoping Review Protocol.

    Science.gov (United States)

    McMurray, Josephine; Strudwick, Gillian; Forchuk, Cheryl; Morse, Adam; Lachance, Jessica; Baskaran, Arani; Allison, Lauren; Booth, Richard

    2017-11-02

    Intelligent assistive technologies that complement and extend human abilities have proliferated in recent years. Service robots, home automation equipment, and other digital assistant devices possessing artificial intelligence are forms of assistive technologies that have become popular in society. Older adults (>55 years of age) have been identified by industry, government, and researchers as a demographic who can benefit significantly from the use of intelligent assistive technology to support various activities of daily living. The purpose of this scoping review is to summarize the literature on the importance of the concept of "trust" in the adoption of intelligent assistive technologies to assist aging in place by older adults. Using a scoping review methodology, our search strategy will examine the following databases: ACM Digital Library, Allied and Complementary Medicine Database (AMED), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Medline, PsycINFO, Scopus, and Web of Science. Two reviewers will independently screen the initial titles obtained from the search, and these results will be further inspected by other members of the research team for inclusion in the review. This review will provide insights into how the concept of trust is actualized in the adoption of intelligent assistive technology by older adults. Preliminary sensitization to the literature suggests that the concept of trust is fluid, unstable, and intimately tied to the type of intelligent assistive technology being examined. Furthermore, a wide range of theoretical lenses that include elements of trust have been used to examine this concept. This review will describe the concept of trust in the adoption of intelligent assistive technology by older adults, and will provide insights for practitioners, policy makers, and technology vendors for future practice. ©Josephine McMurray, Gillian Strudwick, Cheryl Forchuk, Adam Morse, Jessica Lachance, Arani Baskaran, Lauren

  10. Swarm Intelligence: New Techniques for Adaptive Systems to Provide Learning Support

    Science.gov (United States)

    Wong, Lung-Hsiang; Looi, Chee-Kit

    2012-01-01

    The notion of a system adapting itself to provide support for learning has always been an important issue of research for technology-enabled learning. One approach to provide adaptivity is to use social navigation approaches and techniques which involve analysing data of what was previously selected by a cluster of users or what worked for…

  11. Environmental test chamber for the support of learning and teaching in intelligent control

    OpenAIRE

    Taylor, C. James

    2004-01-01

    The paper describes the utility of a low cost, 1 m2 by 2 m forced ventilation, micro-climate test chamber, for the support of research and teaching in mechatronics. Initially developed for the evaluation of a new ventilation rate controller, the fully instrumented chamber now provides numerous learning opportunities and individual projects for both undergraduate and postgraduate research students.

  12. Supporting the full BPM life-cycle using process mining and intelligent redesign

    NARCIS (Netherlands)

    Netjes, M.; Reijers, H.A.; Aalst, van der W.M.P.; Siau, K.

    2007-01-01

    Abstract. Business Process Management (BPM) systems provide a broad range of facilities to enact and manage operational business processes. Ideally, these systems should provide support for the complete BPM life-cycle: (re)design, configuration, execution, control, and diagnosis by the FileNet P8

  13. Pima Community College Planning Grant for Autonomous Intelligent Network of Systems (AINS) Science, Mathematics and Engineering Education Center

    National Research Council Canada - National Science Library

    2006-01-01

    .... The Center was to be funded by the Department of Defense, Office of Naval Research (ONR). The TDRI AINS Center's objectives were to advance ONR's technologies and to improve exposure and participation in science, math, and engineering (SME...

  14. Bridging the gap: leveraging business intelligence tools in support of patient safety and financial effectiveness.

    Science.gov (United States)

    Ferranti, Jeffrey M; Langman, Matthew K; Tanaka, David; McCall, Jonathan; Ahmad, Asif

    2010-01-01

    Healthcare is increasingly dependent upon information technology (IT), but the accumulation of data has outpaced our capacity to use it to improve operating efficiency, clinical quality, and financial effectiveness. Moreover, hospitals have lagged in adopting thoughtful analytic approaches that would allow operational leaders and providers to capitalize upon existing data stores. In this manuscript, we propose a fundamental re-evaluation of strategic IT investments in healthcare, with the goal of increasing efficiency, reducing costs, and improving outcomes through the targeted application of health analytics. We also present three case studies that illustrate the use of health analytics to leverage pre-existing data resources to support improvements in patient safety and quality of care, to increase the accuracy of billing and collection, and support emerging health issues. We believe that such active investment in health analytics will prove essential to realizing the full promise of investments in electronic clinical systems.

  15. An Intelligent Virtual Human System For Providing Healthcare Information And Support

    Science.gov (United States)

    2011-01-01

    healthcare system, and also to other SMs and Veterans by way of a variety of social networking tools (e.g., 2nd Life, Facebook, etc.). The user can progress... CyberPsychology and Behavior 8, 3 (2005), 187-211. [2] T. Parsons & A.A. Rizzo, Affective Outcomes of Virtual Reality Exposure Therapy for Anxiety...VH System for Providing Healthcare Information and Support508 [4] G. Riva, Virtual Reality in Psychotherapy: Review, CyberPsychology and Behavior 8

  16. Reexamining Computational Support for Intelligence Analysis: A Functional Design for a Future Capability

    Science.gov (United States)

    2016-07-14

    Approaches to Computational Support 6.1 Paradigms and Methods In today’s open-world environment, historical paradigms and methods that rely on deep ...focused on methods of this type, with a deep basis on argumentation-based principles. One clear example of these remarks is shown in the writing of...Proceedings of the 5th 2013 Forum on Information Retrieval Evaluation [33] Dan Roth and Wen -tau Yih. Integer linear programming inference for

  17. EHRs Connect Research and Practice: Where Predictive Modeling, Artificial Intelligence, and Clinical Decision Support Intersect

    OpenAIRE

    Bennett, Casey; Doub, Tom; Selove, Rebecca

    2012-01-01

    Objectives: Electronic health records (EHRs) are only a first step in capturing and utilizing health-related data - the challenge is turning that data into useful information. Furthermore, EHRs are increasingly likely to include data relating to patient outcomes, functionality such as clinical decision support, and genetic information as well, and, as such, can be seen as repositories of increasingly valuable information about patients' health conditions and responses to treatment over time. ...

  18. Intelligent Case Based Decision Support System for Online Diagnosis of Automated Production System

    International Nuclear Information System (INIS)

    Ben Rabah, N; Saddem, R; Carre-Menetrier, V; Ben Hmida, F; Tagina, M

    2017-01-01

    Diagnosis of Automated Production System (APS) is a decision-making process designed to detect, locate and identify a particular failure caused by the control law. In the literature, there are three major types of reasoning for industrial diagnosis: the first is model-based, the second is rule-based and the third is case-based. The common and major limitation of the first and the second reasonings is that they do not have automated learning ability. This paper presents an interactive and effective Case Based Decision Support System for online Diagnosis (CB-DSSD) of an APS. It offers a synergy between the Case Based Reasoning (CBR) and the Decision Support System (DSS) in order to support and assist Human Operator of Supervision (HOS) in his/her decision process. Indeed, the experimental evaluation performed on an Interactive Training System for PLC (ITS PLC) that allows the control of a Programmable Logic Controller (PLC), simulating sensors or/and actuators failures and validating the control algorithm through a real time interactive experience, showed the efficiency of our approach. (paper)

  19. Activities and experience of the Federal Resource Center for Organizing Comprehensive Support for Children with ASD

    Directory of Open Access Journals (Sweden)

    Khaustov A.V.

    2016-12-01

    Full Text Available This article presents basic activities and experience of the Federal Resource Center for Organizing Comprehensive Sup¬port for Children with ASD of Moscow state university of psychology & education, amassed during 22 years of practice. Some statistic data on the center’s activity are displayed. Emphasis is done on multidirectional work and developing ways of interdepartmental and networking interaction for the sake of founding a system of complex support for autistic children in Russian Federation.

  20. Kennedy Space Center: Constellation Program Electrical Ground Support Equipment Research and Development

    Science.gov (United States)

    McCoy, Keegan

    2010-01-01

    The Kennedy Space Center (KSC) is NASA's spaceport, launching rockets into space and leading important human spaceflight research. This spring semester, I worked at KSC on Constellation Program electrical ground support equipment through NASA's Undergraduate Student Research Program (USRP). This report includes a discussion of NASA, KSC, and my individual research project. An analysis of Penn State's preparation of me for an internship and my overall impressions of the Penn State and NASA internship experience conclude the report.

  1. Crop Production for Advanced Life Support Systems - Observations From the Kennedy Space Center Breadboard Project

    Science.gov (United States)

    Wheeler, R. M.; Sager, J. C.; Prince, R. P.; Knott, W. M.; Mackowiak, C. L.; Stutte, G. W.; Yorio, N. C.; Ruffe, L. M.; Peterson, B. V.; Goins, G. D.

    2003-01-01

    The use of plants for bioregenerative life support for space missions was first studied by the US Air Force in the 1950s and 1960s. Extensive testing was also conducted from the 1960s through the 1980s by Russian researchers located at the Institute of Biophysics in Krasnoyarsk, Siberia, and the Institute for Biomedical Problems in Moscow. NASA initiated bioregenerative research in the 1960s (e.g., Hydrogenomonas) but this research did not include testing with plants until about 1980, with the start of the Controlled Ecological Life Support System (CELSS) Program. The NASA CELSS research was carried out at universities, private corporations, and NASA field centers, including Kennedy Space Center (KSC). The project at KSC began in 1985 and was called the CELSS Breadboard Project to indicate the capability for plugging in and testing various life support technologies; this name has since been dropped but bioregenerative testing at KSC has continued to the present under the NASA s Advanced Life Support (ALS) Program. A primary objective of the KSC testing was to conduct pre-integration tests with plants (crops) in a large, atmospherically closed test chamber called the Biomass Production Chamber (BPC). Test protocols for the BPC were based on observations and growing procedures developed by university investigators, as well as procedures developed in plant growth chamber studies at KSC. Growth chamber studies to support BPC testing focused on plant responses to different carbon dioxide (CO2) concentrations, different spectral qualities from various electric lamps, and nutrient film hydroponic culture techniques.

  2. The International Experience of the State Support for Creating the Transport and Logistics Centers

    Directory of Open Access Journals (Sweden)

    Zharska Iryna O.

    2017-02-01

    Full Text Available The article is aimed at analysis and synthesis of the international experience as to the State support for creating the transport and logistics centers (TLCs. The causes for emergence of the first TLCs in Europe (60-80-ies of XX century were considered. Values of the LPI index for the countries occupying the first 40 positions of the ranking as of 2014 and of 2016 have been provided, and the major changes during this time have been analyzed. The ranking position of Ukraine is displayed separately. Features of the logistics infrastructure of nine countries with a high value of the LPI index have been considered, degree of the State involvement in the formation of the TLC network has been analyzed. It has been substantiated that creation of the transport and logistics centers allows to reduce the logistics costs of individual producers and contributes to enhancing the efficiency of operation of the national economy in general by attracting investments in the infrastructure development, increasing the number of jobs and tax revenues. The basic motifs that determine the interest of the State authorities in providing support for creating the transportation and logistics centers have been defined. Prospect for further research in this direction will be determining the efficiency of using the different models of the State support for creation and development of TLCs

  3. Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics.

    Science.gov (United States)

    Kuru, Kaya; Niranjan, Mahesan; Tunca, Yusuf; Osvank, Erhan; Azim, Tayyaba

    2014-10-01

    In general, medical geneticists aim to pre-diagnose underlying syndromes based on facial features before performing cytological or molecular analyses where a genotype-phenotype interrelation is possible. However, determining correct genotype-phenotype interrelationships among many syndromes is tedious and labor-intensive, especially for extremely rare syndromes. Thus, a computer-aided system for pre-diagnosis can facilitate effective and efficient decision support, particularly when few similar cases are available, or in remote rural districts where diagnostic knowledge of syndromes is not readily available. The proposed methodology, visual diagnostic decision support system (visual diagnostic DSS), employs machine learning (ML) algorithms and digital image processing techniques in a hybrid approach for automated diagnosis in medical genetics. This approach uses facial features in reference images of disorders to identify visual genotype-phenotype interrelationships. Our statistical method describes facial image data as principal component features and diagnoses syndromes using these features. The proposed system was trained using a real dataset of previously published face images of subjects with syndromes, which provided accurate diagnostic information. The method was tested using a leave-one-out cross-validation scheme with 15 different syndromes, each of comprised 5-9 cases, i.e., 92 cases in total. An accuracy rate of 83% was achieved using this automated diagnosis technique, which was statistically significant (pbenefits of using hybrid image processing and ML-based computer-aided diagnostics for identifying facial phenotypes. Copyright © 2014. Published by Elsevier B.V.

  4. Joint Intelligence Analysis Complex: DOD Partially Used Best Practices for Analyzing Alternatives and Should Do So Fully for Future Military Construction Decisions

    Science.gov (United States)

    2016-09-01

    EUCOM’s Intelligence Analytic Center, a data processing center, a warehouse , and various supporting facilities. This documentation also explains that...use, and that the shortage degrades the reliability of theater and national communications and intelligence assets. In budget justification documents...1623 of the bill would, if enacted, limit DOD’s fiscal year 2017 obligation or expenditure of funding for intelligence manpower positions for JIAC

  5. Watermark: An Application and Methodology and Application for Interactive and intelligent Decision Support for Groundwater Systems

    Science.gov (United States)

    Pierce, S. A.; Wagner, K.; Schwartz, S.; Gentle, J. N., Jr.

    2016-12-01

    Critical water resources face the effects of historic drought, increased demand, and potential contamination, the need has never been greater to develop resources to effectively communicate conservation and protection across a broad audience and geographical area. The Watermark application and macro-analysis methodology merges topical analysis of context rich corpus from policy texts with multi-attributed solution sets from integrated models of water resource and other subsystems, such as mineral, food, energy, or environmental systems to construct a scalable, robust, and reproducible approach for identifying links between policy and science knowledge bases. The Watermark application is an open-source, interactive workspace to support science-based visualization and decision making. Designed with generalization in mind, Watermark is a flexible platform that allows for data analysis and inclusion of large datasets with an interactive front-end capable of connecting with other applications as well as advanced computing resources. In addition, the Watermark analysis methodology offers functionality that streamlines communication with non-technical users for policy, education, or engagement with groups around scientific topics of societal relevance. The technology stack for Watermark was selected with the goal of creating a robust and dynamic modular codebase that can be adjusted to fit many use cases and scale to support usage loads that range between simple data display to complex scientific simulation-based modelling and analytics. The methodology uses to topical analysis and simulation-optimization to systematically analyze the policy and management realities of resource systems and explicitly connect the social and problem contexts with science-based and engineering knowledge from models. A case example demonstrates use in a complex groundwater resources management study highlighting multi-criteria spatial decision making and uncertainty comparisons.

  6. A Novel and Intelligent Home Monitoring System for Care Support of Elders with Cognitive Impairment.

    Science.gov (United States)

    Lazarou, Ioulietta; Karakostas, Anastasios; Stavropoulos, Thanos G; Tsompanidis, Theodoros; Meditskos, Georgios; Kompatsiaris, Ioannis; Tsolaki, Magda

    2016-10-18

    Assistive technology, in the form of a smart home environment, is employed to support people with dementia. To propose a system for continuous and objective remote monitoring of problematic daily living activity areas and design personalized interventions based on system feedback and clinical observations for improving cognitive function and health-related quality of life. The assistive technology of the proposed system, including wearable, sleep, object motion, presence, and utility usage sensors, was methodically deployed at four different home installations of people with cognitive impairment. Detection of sleep patterns, physical activity, and activities of daily living, based on the collected sensor data and analytics, was available at all times through comprehensive data visualization solutions. Combined with clinical observation, targeted psychosocial interventions were introduced to enhance the participants' quality of life and improve their cognitive functions and daily functionality. Meanwhile, participants and their caregivers were able to visualize a reduced set of information tailored to their needs. Overall, paired-sample t-test analysis of monitored qualities revealed improvement for all participants in neuropsychological assessment. Moreover, improvement was detected from the beginning to the end of the trial, in physical condition and in the domains of sleep. Detecting abnormalities via the system, for example in sleep quality, such as REM sleep, has proved to be critical to assess current status, drive interventions, and evaluate improvements in a reliable manner. It has been proved that the proposed system is suitable to support clinicians to reliably drive and evaluate clinical interventions toward quality of life improvement of people with cognitive impairment.

  7. How semantics can inform the geological mapping process and support intelligent queries

    Science.gov (United States)

    Lombardo, Vincenzo; Piana, Fabrizio; Mimmo, Dario

    2017-04-01

    The geologic mapping process requires the organization of data according to the general knowledge about the objects, namely the geologic units, and to the objectives of a graphic representation of such objects in a map, following an established model of geotectonic evolution. Semantics can greatly help such a process in two concerns: the provision of a terminological base to name and classify the objects of the map; on the other, the implementation of a machine-readable encoding of the geologic knowledge base supports the application of reasoning mechanisms and the derivation of novel properties and relations about the objects of the map. The OntoGeonous initiative has built a terminological base of geological knowledge in a machine-readable format, following the Semantic Web tenets and the Linked Data paradigm. The major knowledge sources of the OntoGeonous initiative are GeoScience Markup Language schemata and vocabularies (through its last version, GeoSciML 4, 2015, published by the IUGS CGI Commission) and the INSPIRE "Data Specification on Geology" directives (an operative simplification of GeoSciML, published by INSPIRE Thematic Working Group Geology of the European Commission). The Linked Data paradigm has been exploited by linking (without replicating, to avoid inconsistencies) the already existing machine-readable encoding for some specific domains, such as the lithology domain (vocabulary Simple Lithology) and the geochronologic time scale (ontology "gts"). Finally, for the upper level knowledge, shared across several geologic domains, we have resorted to NASA SWEET ontology. The OntoGeonous initiative has also produced a wiki that explains how the geologic knowledge has been encoded from shared geoscience vocabularies (https://www.di.unito.it/wikigeo/). In particular, the sections dedicated to axiomatization will support the construction of an appropriate data base schema that can be then filled with the objects of the map. This contribution will discuss

  8. Family support and family-centered care in the neonatal intensive care unit: origins, advances, impact.

    Science.gov (United States)

    Gooding, Judith S; Cooper, Liza G; Blaine, Arianna I; Franck, Linda S; Howse, Jennifer L; Berns, Scott D

    2011-02-01

    Family-centered care (FCC) has been increasingly emphasized as an important and necessary element of neonatal intensive care. FCC is conceptualized as a philosophy with a set of guiding principles, as well as a cohort of programs, services, and practices that many hospitals have embraced. Several factors drive the pressing need for family-centered care and support of families of infants in NICUs, including the increase in the number of infants in NICUs; growth in diversity of the population and their concurrent needs; identification of parental and familial stress and lack of parenting confidence; and gaps in support for families, as identified by parents and NICU staff. We explore the origins of and advances in FCC in the NICU and identify various delivery methods and aspects of FCC and family support in the NICU. We examine the research and available evidence supporting FCC in the NICU and offer recommendations for increased dissemination and for future study. Copyright © 2011 Elsevier Inc. All rights reserved.

  9. The Interrelation of Intelligence, Involvement in Musical Activities, and Supportive Musical Family Environment in Ninth-Graders

    Directory of Open Access Journals (Sweden)

    Barbara Kopacin

    2014-06-01

    Full Text Available Intelligence has increasingly been becoming a desirable human trait, so she scientists from different fields devote it a lot of attention. We were interested in the interconnectedness of intelligence, musical activities and family environment in ninth graders. Correlations were determined with the differences in student achievement in measuring educative components of general intellectual abilities with standard progressive matrices (SPM. The survey results confirm that intelligence, musical activities and musical family environment significantly correlated with each other. The study included 177 randomly selected ninth graders from six basic schools in the region of Primorska.

  10. Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines

    Directory of Open Access Journals (Sweden)

    Kun He

    2018-04-01

    Full Text Available Health condition is a vital factor affecting printing quality for a 3D printer. In this work, an attitude monitoring approach is proposed to diagnose the fault of the delta 3D printer using support vector machines (SVM. An attitude sensor was mounted on the moving platform of the printer to monitor its 3-axial attitude angle, angular velocity, vibratory acceleration and magnetic field intensity. The attitude data of the working printer were collected under different conditions involving 12 fault types and a normal condition. The collected data were analyzed for diagnosing the health condition. To this end, the combination of binary classification, one-against-one with least-square SVM, was adopted for fault diagnosis modelling by using all channels of attitude monitoring data in the experiment. For comparison, each one channel of the attitude monitoring data was employed for model training and testing. On the other hand, a back propagation neural network (BPNN was also applied to diagnose fault using the same data. The best fault diagnosis accuracy (94.44% was obtained when all channels of the attitude monitoring data were used with SVM modelling. The results indicate that the attitude monitoring with SVM is an effective method for the fault diagnosis of delta 3D printers.

  11. Intelligent car guidance system (parking support system); Chiteki sharyo yudo system (chusha shien system)

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2000-03-01

    This system enables a driver to park the car at a predetermined spot without the driver seeing the outside scene. The system shows on a driver seat display the steps that the driver is to follow and thereby supports the driver when visibility is poor, when the parking space is difficult to approach, when the driver is a novice, or when the driver is aged. The system ensures accurate positioning of the car by showing the steering direction and angle, the car speed, and the force of braking to the driver. For this purpose, the system knows the absolute car position by the use of an RFID (Radio Frequency Identification) tag which is a kind of IC (Integrated Circuit) card and D-GPS (Differential-Global Positioning System), grasps the relative car position by the use of a gyroscope, and collects data from plural sensors, which are complementary to each other, such as a car-speed sensor and a steering sensor. (translated by NEDO)

  12. Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines

    Science.gov (United States)

    He, Kun; Yang, Zhijun; Bai, Yun; Long, Jianyu; Li, Chuan

    2018-01-01

    Health condition is a vital factor affecting printing quality for a 3D printer. In this work, an attitude monitoring approach is proposed to diagnose the fault of the delta 3D printer using support vector machines (SVM). An attitude sensor was mounted on the moving platform of the printer to monitor its 3-axial attitude angle, angular velocity, vibratory acceleration and magnetic field intensity. The attitude data of the working printer were collected under different conditions involving 12 fault types and a normal condition. The collected data were analyzed for diagnosing the health condition. To this end, the combination of binary classification, one-against-one with least-square SVM, was adopted for fault diagnosis modelling by using all channels of attitude monitoring data in the experiment. For comparison, each one channel of the attitude monitoring data was employed for model training and testing. On the other hand, a back propagation neural network (BPNN) was also applied to diagnose fault using the same data. The best fault diagnosis accuracy (94.44%) was obtained when all channels of the attitude monitoring data were used with SVM modelling. The results indicate that the attitude monitoring with SVM is an effective method for the fault diagnosis of delta 3D printers. PMID:29690641

  13. Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines.

    Science.gov (United States)

    He, Kun; Yang, Zhijun; Bai, Yun; Long, Jianyu; Li, Chuan

    2018-04-23

    Health condition is a vital factor affecting printing quality for a 3D printer. In this work, an attitude monitoring approach is proposed to diagnose the fault of the delta 3D printer using support vector machines (SVM). An attitude sensor was mounted on the moving platform of the printer to monitor its 3-axial attitude angle, angular velocity, vibratory acceleration and magnetic field intensity. The attitude data of the working printer were collected under different conditions involving 12 fault types and a normal condition. The collected data were analyzed for diagnosing the health condition. To this end, the combination of binary classification, one-against-one with least-square SVM, was adopted for fault diagnosis modelling by using all channels of attitude monitoring data in the experiment. For comparison, each one channel of the attitude monitoring data was employed for model training and testing. On the other hand, a back propagation neural network (BPNN) was also applied to diagnose fault using the same data. The best fault diagnosis accuracy (94.44%) was obtained when all channels of the attitude monitoring data were used with SVM modelling. The results indicate that the attitude monitoring with SVM is an effective method for the fault diagnosis of delta 3D printers.

  14. Preparedness and Emergency Response Learning Centers: supporting the workforce for national health security.

    Science.gov (United States)

    Richmond, Alyson L; Sobelson, Robyn K; Cioffi, Joan P

    2014-01-01

    The importance of a competent and prepared national public health workforce, ready to respond to threats to the public's health, has been acknowledged in numerous publications since the 1980s. The Preparedness and Emergency Response Learning Centers (PERLCs) were funded by the Centers for Disease Control and Prevention in 2010 to continue to build upon a decade of focused activities in public health workforce preparedness development initiated under the Centers for Public Health Preparedness program (http://www.cdc.gov/phpr/cphp/). All 14 PERLCs were located within Council on Education for Public Health (CEPH) accredited schools of public health. These centers aimed to improve workforce readiness and competence through the development, delivery, and evaluation of targeted learning programs designed to meet specific requirements of state, local, and tribal partners. The PERLCs supported organizational and community readiness locally, regionally, or nationally through the provision of technical consultation and dissemination of specific, practical tools aligned with national preparedness competency frameworks and public health preparedness capabilities. Public health agencies strive to address growing public needs and a continuous stream of current and emerging public health threats. The PERLC network represented a flexible, scalable, and experienced national learning system linking academia with practice. This system improved national health security by enhancing individual, organizational, and community performance through the application of public health science and learning technologies to frontline practice.

  15. Inauguration of the first Psychological Support Center for disaster victims in Korea.

    Science.gov (United States)

    Bae, Jeongyee; Kim, Key-Yong; Panuncio, Rosel L; Choi, Namhee; Im, Sook-Bin

    2009-12-01

    Disasters can strike uncontrollably whenever or wherever, leaving horrendous marks of physical and psychological damage on people upon their passing. Asia remains the most widely affected area of the world, with high death tolls, casualties, and economic losses recorded in past years. In fact, a developed country like South Korea incurs huge deficits from disaster-related adversities. Restoration efforts and assistance for disaster survivors are generously provided by the Korean government. However, it is only recently that cases of postdisaster mental problems have been given attention. This article argues that, although material relief helps disaster victims to regain their physical losses, it is equally important to aid their psychological needs to prevent long-term mental health problems. This article highlights Korea's first regional Psychological Support Center for disaster victims, which can be accessed online. With this Center, the country continues to strive in providing her people with holistic approaches to further enhance each citizen's quality of life.

  16. Artificial intelligence within AFSC

    Science.gov (United States)

    Gersh, Mark A.

    1990-01-01

    Information on artificial intelligence research in the Air Force Systems Command is given in viewgraph form. Specific research that is being conducted at the Rome Air Development Center, the Space Technology Center, the Human Resources Laboratory, the Armstrong Aerospace Medical Research Laboratory, the Armamant Laboratory, and the Wright Research and Development Center is noted.

  17. Toward patient-centered, personalized and personal decision support and knowledge management: a survey.

    Science.gov (United States)

    Leong, T-Y

    2012-01-01

    This paper summarizes the recent trends and highlights the challenges and opportunities in decision support and knowledge management for patient-centered, personalized, and personal health care. The discussions are based on a broad survey of related references, focusing on the most recent publications. Major advances are examined in the areas of i) shared decision making paradigms, ii) continuity of care infrastructures and architectures, iii) human factors and system design approaches, iv) knowledge management innovations, and v) practical deployment and change considerations. Many important initiatives, projects, and plans with promising results have been identified. The common themes focus on supporting the individual patients who are playing an increasing central role in their own care decision processes. New collaborative decision making paradigms and information infrastructures are required to ensure effective continuity of care. Human factors and usability are crucial for the successful development and deployment of the relevant systems, tools, and aids. Advances in personalized medicine can be achieved through integrating genomic, phenotypic and other biological, individual, and population level information, and gaining useful insights from building and analyzing biological and other models at multiple levels of abstraction. Therefore, new Information and Communication Technologies and evaluation approaches are needed to effectively manage the scale and complexity of biomedical and health information, and adapt to the changing nature of clinical decision support. Recent research in decision support and knowledge management combines heterogeneous information and personal data to provide cost-effective, calibrated, personalized support in shared decision making at the point of care. Current and emerging efforts concentrate on developing or extending conventional paradigms, techniques, systems, and architectures for the new predictive, preemptive, and

  18. Space Station Environmental Control and Life Support System Test Facility at Marshall Space Flight Center

    Science.gov (United States)

    Springer, Darlene

    1989-01-01

    Different aspects of Space Station Environmental Control and Life Support System (ECLSS) testing are currently taking place at Marshall Space Flight Center (MSFC). Unique to this testing is the variety of test areas and the fact that all are located in one building. The north high bay of building 4755, the Core Module Integration Facility (CMIF), contains the following test areas: the Subsystem Test Area, the Comparative Test Area, the Process Material Management System (PMMS), the Core Module Simulator (CMS), the End-use Equipment Facility (EEF), and the Pre-development Operational System Test (POST) Area. This paper addresses the facility that supports these test areas and briefly describes the testing in each area. Future plans for the building and Space Station module configurations will also be discussed.

  19. Alaska Center for Unmanned Aircraft Systems Integration (ACUASI): Operational Support and Geoscience Research

    Science.gov (United States)

    Webley, P. W.; Cahill, C. F.; Rogers, M.; Hatfield, M. C.

    2016-12-01

    Unmanned Aircraft Systems (UAS) have enormous potential for use in geoscience research and supporting operational needs from natural hazard assessment to the mitigation of critical infrastructure failure. They provide a new tool for universities, local, state, federal, and military organizations to collect new measurements not readily available from other sensors. We will present on the UAS capabilities and research of the Alaska Center for Unmanned Aircraft Systems Integration (ACUASI, http://acuasi.alaska.edu/). Our UAS range from the Responder with its dual visible/infrared payload that can provide simultaneous data to our new SeaHunter UAS with 90 lb. payload and multiple hour flight time. ACUASI, as a designated US Federal Aviation Administration (FAA) test center, works closely with the FAA on integrating UAS into the national airspace. ACUASI covers all aspects of working with UAS from pilot training, airspace navigation, flight operations, and remote sensing analysis to payload design and integration engineers and policy experts. ACUASI's recent missions range from supporting the mapping of sea ice cover for safe passage of Alaskans across the hazardous winter ice to demonstrating how UAS can be used to provide support during oil spill response. Additionally, we will present on how ACUASI has worked with local authorities in Alaska to integrate UAS into search and rescue operations and with NASA and the FAA on their UAS Transport Management (UTM) project to fly UAS within the manned airspace. ACUASI is also working on developing new capabilities to sample volcanic plumes and clouds, map forest fire impacts and burn areas, and develop a new citizen network for monitoring snow extent and depth during Northern Hemisphere winters. We will demonstrate how UAS can be integrated in operational support systems and at the same time be used in geoscience research projects to provide high precision, accurate, and reliable observations.

  20. Cloud Computing Applications in Support of Earth Science Activities at Marshall Space Flight Center

    Science.gov (United States)

    Molthan, Andrew L.; Limaye, Ashutosh S.; Srikishen, Jayanthi

    2011-01-01

    Currently, the NASA Nebula Cloud Computing Platform is available to Agency personnel in a pre-release status as the system undergoes a formal operational readiness review. Over the past year, two projects within the Earth Science Office at NASA Marshall Space Flight Center have been investigating the performance and value of Nebula s "Infrastructure as a Service", or "IaaS" concept and applying cloud computing concepts to advance their respective mission goals. The Short-term Prediction Research and Transition (SPoRT) Center focuses on the transition of unique NASA satellite observations and weather forecasting capabilities for use within the operational forecasting community through partnerships with NOAA s National Weather Service (NWS). SPoRT has evaluated the performance of the Weather Research and Forecasting (WRF) model on virtual machines deployed within Nebula and used Nebula instances to simulate local forecasts in support of regional forecast studies of interest to select NWS forecast offices. In addition to weather forecasting applications, rapidly deployable Nebula virtual machines have supported the processing of high resolution NASA satellite imagery to support disaster assessment following the historic severe weather and tornado outbreak of April 27, 2011. Other modeling and satellite analysis activities are underway in support of NASA s SERVIR program, which integrates satellite observations, ground-based data and forecast models to monitor environmental change and improve disaster response in Central America, the Caribbean, Africa, and the Himalayas. Leveraging SPoRT s experience, SERVIR is working to establish a real-time weather forecasting model for Central America. Other modeling efforts include hydrologic forecasts for Kenya, driven by NASA satellite observations and reanalysis data sets provided by the broader meteorological community. Forecast modeling efforts are supplemented by short-term forecasts of convective initiation, determined by

  1. Home medication support for childhood cancer: family-centered design and testing.

    Science.gov (United States)

    Walsh, Kathleen E; Biggins, Colleen; Blasko, Deb; Christiansen, Steven M; Fischer, Shira H; Keuker, Christopher; Klugman, Robert; Mazor, Kathleen M

    2014-11-01

    Errors in the use of medications at home by children with cancer are common, and interventions to support correct use are needed. We sought to (1) engage stakeholders in the design and development of an intervention to prevent errors in home medication use, and (2) evaluate the acceptability and usefulness of the intervention. We convened a multidisciplinary team of parents, clinicians, technology experts, and researchers to develop an intervention using a two-step user-centered design process. First, parents and oncologists provided input on the design. Second, a parent panel and two oncology nurses refined draft materials. In a feasibility study, we used questionnaires to assess usefulness and acceptability. Medication error rates were assessed via monthly telephone interviews with parents. We successfully partnered with parents, clinicians, and IT experts to develop Home Medication Support (HoMeS), a family-centered Web-based intervention. HoMeS includes a medication calendar with decision support, a communication tool, adverse effect information, a metric conversion chart, and other information. The 15 families in the feasibility study gave HoMeS high ratings for acceptability and usefulness. Half recorded information on the calendar to indicate to other caregivers that doses were given; 34% brought it to the clinic to communicate with their clinician about home medication use. There was no change in the rate of medication errors in this feasibility study. We created and tested a stakeholder-designed, Web-based intervention to support home chemotherapy use, which parents rated highly. This tool may prevent serious medication errors in a larger study. Copyright © 2014 by American Society of Clinical Oncology.

  2. Data Management Coordinators Monitor STS-78 Mission at the Huntsville Operations Support Center

    Science.gov (United States)

    1996-01-01

    Launched on June 20, 1996, the STS-78 mission's primary payload was the Life and Microgravity Spacelab (LMS), which was managed by the Marshall Space Flight Center (MSFC). During the 17 day space flight, the crew conducted a diverse slate of experiments divided into a mix of life science and microgravity investigations. In a manner very similar to future International Space Station operations, LMS researchers from the United States and their European counterparts shared resources such as crew time and equipment. Five space agencies (NASA/USA, European Space Agency/Europe (ESA), French Space Agency/France, Canadian Space Agency /Canada, and Italian Space Agency/Italy) along with research scientists from 10 countries worked together on the design, development and construction of the LMS. This photo represents Data Management Coordinators monitoring the progress of the mission at the Huntsville Operations Support Center (HOSC) Spacelab Payload Operations Control Center (SL POCC) at MSFC. Pictured are assistant mission scientist Dr. Dalle Kornfeld, Rick McConnel, and Ann Bathew.

  3. NASA Glenn Research Center Support of the Advanced Stirling Radioisotope Generator Project

    Science.gov (United States)

    Wilson, Scott D.; Wong, Wayne A.

    2015-01-01

    A high-efficiency radioisotope power system was being developed for long-duration NASA space science missions. The U.S. Department of Energy (DOE) managed a flight contract with Lockheed Martin Space Systems Company to build Advanced Stirling Radioisotope Generators (ASRGs), with support from NASA Glenn Research Center. DOE initiated termination of that contract in late 2013, primarily due to budget constraints. Sunpower, Inc., held two parallel contracts to produce Advanced Stirling Convertors (ASCs), one with Lockheed Martin to produce ASC-F flight units, and one with Glenn for the production of ASC-E3 engineering unit "pathfinders" that are built to the flight design. In support of those contracts, Glenn provided testing, materials expertise, Government-furnished equipment, inspection capabilities, and related data products to Lockheed Martin and Sunpower. The technical support included material evaluations, component tests, convertor characterization, and technology transfer. Material evaluations and component tests were performed on various ASC components in order to assess potential life-limiting mechanisms and provide data for reliability models. Convertor level tests were conducted to characterize performance under operating conditions that are representative of various mission conditions. Despite termination of the ASRG flight development contract, NASA continues to recognize the importance of high-efficiency ASC power conversion for Radioisotope Power Systems (RPS) and continues investment in the technology, including the continuation of the ASC-E3 contract. This paper describes key Government support for the ASRG project and future tests to be used to provide data for ongoing reliability assessments.

  4. Object-centered representations support flexible exogenous visual attention across translation and reflection.

    Science.gov (United States)

    Lin, Zhicheng

    2013-11-01

    Visual attention can be deployed to stimuli based on our willful, top-down goal (endogenous attention) or on their intrinsic saliency against the background (exogenous attention). Flexibility is thought to be a hallmark of endogenous attention, whereas decades of research show that exogenous attention is attracted to the retinotopic locations of the salient stimuli. However, to the extent that salient stimuli in the natural environment usually form specific spatial relations with the surrounding context and are dynamic, exogenous attention, to be adaptive, should embrace these structural regularities. Here we test a non-retinotopic, object-centered mechanism in exogenous attention, in which exogenous attention is dynamically attracted to a relative, object-centered location. Using a moving frame configuration, we presented two frames in succession, forming either apparent translational motion or in mirror reflection, with a completely uninformative, transient cue presented at one of the item locations in the first frame. Despite that the cue is presented in a spatially separate frame, in both translation and mirror reflection, behavioralperformance in visual search is enhanced when the target in the second frame appears at the same relative location as the cue location than at other locations. These results provide unambiguous evidence for non-retinotopic exogenous attention and further reveal an object-centered mechanism supporting flexible exogenous attention. Moreover, attentional generalization across mirror reflection may constitute an attentional correlate of perceptual generalization across lateral mirror images, supporting an adaptive, functional account of mirror images confusion. Copyright © 2013 Elsevier B.V. All rights reserved.

  5. Immigrant Workers Centers in Eastern Massachusetts, USA: Fostering Services, Support, Advocacy, and Community Organizing

    Directory of Open Access Journals (Sweden)

    Humberto Reynoso-Vallejo

    2013-01-01

    Full Text Available Immigrant Workers Centers (IWCs are community-based organizations that have been developed in the United States to promote and protect workers’ rights through support, services, advocacy, and organizing initiatives. The purpose of this research study was to examine how IWCs in the Eastern part of the state of Massachusetts are structured along twelve dimensions of organizational development and community organizing. Qualitative research methods were used to identify shared themes within the six IWCs and three immigrant support organizations, as well as their organizational responses to the current anti-immigrant environment. IWCs constituted a convenience sample which enabled the researchers to gather data utilizing a case study methodology. In-depth semi-structured interviews were conducted between the months of July and September of 2009 to answer the following research questions: 1What are the shared themes for the development of Immigrant Workers Centers?, and 2 How do Immigrant Workers Centers respond to current anti-immigrant sentiment, intolerant immigration policies, and increased exploitation in this troubled economy? Shared themes among the IWCs include prioritizing community organizing for workers’ rights and collective empowerment. Sub-modalities such as education, training and leadership development area common feature. While some individual support is provided, and in some cases, programming, it always is offered within a context that emphasizes the need for collective action to overcome injustice. Issues addressed include health/safety, sexual harassment, discrimination, and various problems associated with wages (underpayment, missed payments, collecting back wages, and lack of overtime pay. IWCs respond to antiimmigrant policies and practices by supporting larger efforts for immigration reformat the municipal, state, and federal levels. Coalitions of IWCS and their allies attempt to make state wide and federal policy changes

  6. Clinical support role for a pharmacy technician within a primary care resource center.

    Science.gov (United States)

    Fera, Toni; Kanel, Keith T; Bolinger, Meghan L; Fink, Amber E; Iheasirim, Serah

    2018-02-01

    The creation of a clinical support role for a pharmacy technician within a primary care resource center is described. In the Primary Care Resource Center (PCRC) Project, hospital-based care transition coordination hubs staffed by nurses and pharmacist teams were created in 6 independent community hospitals. At the largest site, patient volume for targeted diseases challenged the ability of the PCRC pharmacist to provide expected elements of care to targeted patients. Creation of a new pharmacy technician clinical support role was implemented as a cost-effective option to increase the pharmacist's efficiency. The pharmacist's work processes were reviewed and technical functions identified that could be assigned to a specially trained pharmacy technician under the direction of the PCRC pharmacist. Daily tasks performed by the pharmacy technician included maintenance of the patient roster and pending discharges, retrieval and documentation of pertinent laboratory and diagnostic test information from the patient's medical record, assembly of patient medication education materials, and identification of discrepancies between disparate systems' medication records. In the 6 months after establishing the PCRC pharmacy technician role, the pharmacist's completion of comprehensive medication reviews (CMRs) for target patients increased by 40.5% ( p = 0.0223), driven largely by a 42.4% ( p technician to augment pharmacist care in a PCRC team extended the reach of the pharmacist and allowed more time for the pharmacist to engage patients. Technician support enabled the pharmacist to complete more CMRs and reduced the time required for chart reviews. Copyright © 2018 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

  7. Depression, social support, and clinical outcomes following lung transplantation: a single-center cohort study.

    Science.gov (United States)

    Smith, Patrick J; Snyder, Laurie D; Palmer, Scott M; Hoffman, Benson M; Stonerock, Gregory L; Ingle, Krista K; Saulino, Caroline K; Blumenthal, James A

    2018-05-01

    Depressive symptoms are common among lung transplant candidates and have been associated with poorer clinical outcomes in some studies. Previous studies have been plagued by methodologic problems, including small sample sizes, few clinical events, and uncontrolled confounders, particularly perioperative complications. In addition, few studies have examined social support as a potential protective factor. We therefore examined the association between pretransplant depressive symptoms, social support, and mortality in a large sample of lung transplant recipients. As a secondary aim, we also examined the associations between psychosocial factors, perioperative outcomes [indexed by hospital length of stay (LOS)], and mortality. We hypothesized that depression would be associated with longer LOS and that the association between depression, social support, and mortality would be moderated by LOS. Participants included lung transplant recipients, transplanted at Duke University Medical Center from January 2009 to December 2014. Depressive symptoms were evaluated using the Beck Depression Inventory (BDI-II) and social support using the Perceived Social Support Scale (PSSS). Medical risk factors included forced vital capacity (FVC), partial pressure of carbon dioxide (PCO 2 ), donor age, acute rejection, and transplant type. Functional status was assessed using six-minute walk distance (6MWD). We also controlled for demographic factors, including age, gender, and native disease. Transplant hospitalization LOS was examined as a marker of perioperative clinical outcomes. Participants included 273 lung recipients (174 restrictive, 67 obstructive, 26 cystic fibrosis, and six "other"). Pretransplant depressive symptoms were common, with 56 participants (21%) exhibiting clinically elevated levels (BDI-II ≥ 14). Greater depressive symptoms were associated with longer LOS [adjusted b = 0.20 (2 days per 7-point higher BDI-II score), P social support (P social support were

  8. Intelligent robot action planning

    Energy Technology Data Exchange (ETDEWEB)

    Vamos, T; Siegler, A

    1982-01-01

    Action planning methods used in intelligent robot control are discussed. Planning is accomplished through environment understanding, environment representation, task understanding and planning, motion analysis and man-machine communication. These fields are analysed in detail. The frames of an intelligent motion planning system are presented. Graphic simulation of the robot's environment and motion is used to support the planning. 14 references.

  9. Intelligible Artificial Intelligence

    OpenAIRE

    Weld, Daniel S.; Bansal, Gagan

    2018-01-01

    Since Artificial Intelligence (AI) software uses techniques like deep lookahead search and stochastic optimization of huge neural networks to fit mammoth datasets, it often results in complex behavior that is difficult for people to understand. Yet organizations are deploying AI algorithms in many mission-critical settings. In order to trust their behavior, we must make it intelligible --- either by using inherently interpretable models or by developing methods for explaining otherwise overwh...

  10. The Effectiveness of Staff Training Focused on Increasing Emotional Intelligence and Improving Interaction between Support Staff and Clients

    Science.gov (United States)

    Zijlmans, L. J. M.; Embregts, P. J. C. M.; Gerits, L.; Bosman, A. M. T.; Derksen, J. J. L.

    2015-01-01

    Background: Recent research addressed the relationship between staff behaviour and challenging behaviour of individuals with an intellectual disability (ID). Consequently, research on interventions aimed at staff is warranted. The present study focused on the effectiveness of a staff training aimed at emotional intelligence and interactions…

  11. An intelligent algorithm for identification of optimum mix of demographic features for trust in medical centers in Iran.

    Science.gov (United States)

    Yazdanparast, R; Zadeh, S Abdolhossein; Dadras, D; Azadeh, A

    2018-06-01

    Healthcare quality is affected by various factors including trust. Patients' trust to healthcare providers is one of the most important factors for treatment outcomes. The presented study identifies optimum mixture of patient demographic features with respect to trust in three large and busy medical centers in Tehran, Iran. The presented algorithm is composed of adaptive neuro-fuzzy inference system and statistical methods. It is used to deal with data and environmental uncertainty. The required data are collected from three large hospitals using standard questionnaires. The reliability and validity of the collected data is evaluated using Cronbach's Alpha, factor analysis and statistical tests. The results of this study indicate that middle age patients with low level of education and moderate illness severity and young patients with high level of education, moderate illness severity and moderate to weak financial status have the highest trust to the considered medical centers. To the best of our knowledge this the first study that investigates patient demographic features using adaptive neuro-fuzzy inference system in healthcare sector. Second, it is a practical approach for continuous improvement of trust features in medical centers. Third, it deals with the existing uncertainty through the unique neuro-fuzzy approach. Copyright © 2018 Elsevier B.V. All rights reserved.

  12. Want to Play a Game How Should DIA use the Intelligence Simulation Center to Think about its Future

    Science.gov (United States)

    2017-03-31

    Support Arguably wargaming can trace its origins back to Sun Tzu . In the modern sense, however, wargaming for military purposes started in the...5 Perla, 164. 45 Bibliography : Accenture. “Next Generation Wargaming: Improving

  13. Digital Technologies Supporting Person-Centered Integrated Care – A Perspective

    Science.gov (United States)

    2017-01-01

    Shared electronic health and social care records in some service systems are already showing some of the benefits of digital technology and digital data for integrating health and social care. These records are one example of the beginning “digitalisation” of services that gives a glimpse of the potential of digital technology and systems for building coordinated and individualized integrated care. Yet the promise has been greater than the benefits, and progress has been slow compared to other industries. This paper describes for non-technical readers how information technology was used to support integrated care schemes in six EU services, and suggests practical ways forward to use the new opportunities to build person-centered integrated care. PMID:29588629

  14. Role of the exercises in the training of the technical support center members in Croatia

    International Nuclear Information System (INIS)

    Jurkovic, I.-A.; Grgic, D.; Skanata, D.

    1999-01-01

    Since the beginning of 1998, when the modernization of the existing Emergency Plan and Program in Croatia started, lots of things were done and changed. New organizational structure was set up and Technical Support Center (TSC) as a lead technical agency was introduced. Role, obligations and responsibilities of the TSC were defined and appropriate procedures were developed. These activities are more or less the same recommended by the International Atomic Energy Agency (IAEA). As exercises and workshops are important part of all emergency planning and preparedness activities, they also play an important role in out today and future plans. Croatian Off-site Emergency Response Plan (OERP) recognizes three national workshops that are going to be organized every year. The first one was already organized at the beginning of 1998, in February. Second workshop was organized at the beginning of November 1998. Main workshop objective was to train the TSC staff.(author)

  15. Digital Technologies Supporting Person-Centered Integrated Care – A Perspective

    Directory of Open Access Journals (Sweden)

    John Øvretveit

    2017-09-01

    Full Text Available Shared electronic health and social care records in some service systems are already showing some of the benefits of digital technology and digital data for integrating health and social care. These records are one example of the beginning “digitalisation” of services that gives a glimpse of the potential of digital technology and systems for building coordinated and individualized integrated care. Yet the promise has been greater than the benefits, and progress has been slow compared to other industries. This paper describes for non-technical readers how information technology was used to support integrated care schemes in six EU services, and suggests practical ways forward to use the new opportunities to build person-centered integrated care.

  16. Initial Flight Test of the Production Support Flight Control Computers at NASA Dryden Flight Research Center

    Science.gov (United States)

    Carter, John; Stephenson, Mark

    1999-01-01

    The NASA Dryden Flight Research Center has completed the initial flight test of a modified set of F/A-18 flight control computers that gives the aircraft a research control law capability. The production support flight control computers (PSFCC) provide an increased capability for flight research in the control law, handling qualities, and flight systems areas. The PSFCC feature a research flight control processor that is "piggybacked" onto the baseline F/A-18 flight control system. This research processor allows for pilot selection of research control law operation in flight. To validate flight operation, a replication of a standard F/A-18 control law was programmed into the research processor and flight-tested over a limited envelope. This paper provides a brief description of the system, summarizes the initial flight test of the PSFCC, and describes future experiments for the PSFCC.

  17. Total integrated performance excellence system (TIPES): A true north direction for a clinical trial support center.

    Science.gov (United States)

    Sather, Mike R; Parsons, Sherry; Boardman, Kathy D; Warren, Stuart R; Davis-Karim, Anne; Griffin, Kevin; Betterton, Jane A; Jones, Mark S; Johnson, Stanley H; Vertrees, Julia E; Hickey, Jan H; Salazar, Thelma P; Huang, Grant D

    2018-03-01

    This paper presents the quality journey taken by a Federal organization over more than 20 years. These efforts have resulted in the implementation of a Total Integrated Performance Excellence System (TIPES) that combines key principles and practices of established quality systems. The Center has progressively integrated quality system frameworks including the Malcom Baldrige National Quality Award (MBNQA) Framework and Criteria for Performance Excellence, ISO 9001, and the Organizational Project Management Maturity Model (OPM3), as well as supplemental quality systems of ISO 15378 (packaging for medicinal products) and ISO 21500 (guide to project management) to systematically improve all areas of operations. These frameworks were selected for applicability to Center processes and systems, consistency and reinforcement of complimentary approaches, and international acceptance. External validations include the MBNQA, the highest quality award in the US, continued registration and conformance to ISO standards and guidelines, and multiple VA and state awards. With a focus on a holistic approach to quality involving processes, systems and personnel, this paper presents activities and lessons that were critical to building TIPES and establishing the quality environment for conducting clinical research in support of Veterans and national health care.

  18. Total integrated performance excellence system (TIPES: A true north direction for a clinical trial support center

    Directory of Open Access Journals (Sweden)

    Mike R. Sather

    2018-03-01

    Full Text Available This paper presents the quality journey taken by a Federal organization over more than 20 years. These efforts have resulted in the implementation of a Total Integrated Performance Excellence System (TIPES that combines key principles and practices of established quality systems. The Center has progressively integrated quality system frameworks including the Malcom Baldrige National Quality Award (MBNQA Framework and Criteria for Performance Excellence, ISO 9001, and the Organizational Project Management Maturity Model (OPM3, as well as supplemental quality systems of ISO 15378 (packaging for medicinal products and ISO 21500 (guide to project management to systematically improve all areas of operations. These frameworks were selected for applicability to Center processes and systems, consistency and reinforcement of complimentary approaches, and international acceptance. External validations include the MBNQA, the highest quality award in the US, continued registration and conformance to ISO standards and guidelines, and multiple VA and state awards. With a focus on a holistic approach to quality involving processes, systems and personnel, this paper presents activities and lessons that were critical to building TIPES and establishing the quality environment for conducting clinical research in support of Veterans and national health care.

  19. Cloud Computing Applications in Support of Earth Science Activities at Marshall Space Flight Center

    Science.gov (United States)

    Molthan, A.; Limaye, A. S.

    2011-12-01

    Currently, the NASA Nebula Cloud Computing Platform is available to Agency personnel in a pre-release status as the system undergoes a formal operational readiness review. Over the past year, two projects within the Earth Science Office at NASA Marshall Space Flight Center have been investigating the performance and value of Nebula's "Infrastructure as a Service", or "IaaS" concept and applying cloud computing concepts to advance their respective mission goals. The Short-term Prediction Research and Transition (SPoRT) Center focuses on the transition of unique NASA satellite observations and weather forecasting capabilities for use within the operational forecasting community through partnerships with NOAA's National Weather Service (NWS). SPoRT has evaluated the performance of the Weather Research and Forecasting (WRF) model on virtual machines deployed within Nebula and used Nebula instances to simulate local forecasts in support of regional forecast studies of interest to select NWS forecast offices. In addition to weather forecasting applications, rapidly deployable Nebula virtual machines have supported the processing of high resolution NASA satellite imagery to support disaster assessment following the historic severe weather and tornado outbreak of April 27, 2011. Other modeling and satellite analysis activities are underway in support of NASA's SERVIR program, which integrates satellite observations, ground-based data and forecast models to monitor environmental change and improve disaster response in Central America, the Caribbean, Africa, and the Himalayas. Leveraging SPoRT's experience, SERVIR is working to establish a real-time weather forecasting model for Central America. Other modeling efforts include hydrologic forecasts for Kenya, driven by NASA satellite observations and reanalysis data sets provided by the broader meteorological community. Forecast modeling efforts are supplemented by short-term forecasts of convective initiation, determined by

  20. Intelligent Systems Technologies for Ops

    Science.gov (United States)

    Smith, Ernest E.; Korsmeyer, David J.

    2012-01-01

    As NASA supports International Space Station assembly complete operations through 2020 (or later) and prepares for future human exploration programs, there is additional emphasis in the manned spaceflight program to find more efficient and effective ways of providing the ground-based mission support. Since 2006 this search for improvement has led to a significant cross-fertilization between the NASA advanced software development community and the manned spaceflight operations community. A variety of mission operations systems and tools have been developed over the past decades as NASA has operated the Mars robotic missions, the Space Shuttle, and the International Space Station. NASA Ames Research Center has been developing and applying its advanced intelligent systems research to mission operations tools for both unmanned Mars missions operations since 2001 and to manned operations with NASA Johnson Space Center since 2006. In particular, the fundamental advanced software development work under the Exploration Technology Program, and the experience and capabilities developed for mission operations systems for the Mars surface missions, (Spirit/Opportunity, Phoenix Lander, and MSL) have enhanced the development and application of advanced mission operation systems for the International Space Station and future spacecraft. This paper provides an update on the status of the development and deployment of a variety of intelligent systems technologies adopted for manned mission operations, and some discussion of the planned work for Autonomous Mission Operations in future human exploration. We discuss several specific projects between the Ames Research Center and the Johnson Space Centers Mission Operations Directorate, and how these technologies and projects are enhancing the mission operations support for the International Space Station, and supporting the current Autonomous Mission Operations Project for the mission operation support of the future human exploration

  1. Brain Intelligence: Go Beyond Artificial Intelligence

    OpenAIRE

    Lu, Huimin; Li, Yujie; Chen, Min; Kim, Hyoungseop; Serikawa, Seiichi

    2017-01-01

    Artificial intelligence (AI) is an important technology that supports daily social life and economic activities. It contributes greatly to the sustainable growth of Japan's economy and solves various social problems. In recent years, AI has attracted attention as a key for growth in developed countries such as Europe and the United States and developing countries such as China and India. The attention has been focused mainly on developing new artificial intelligence information communication ...

  2. Supporting Clinical Cognition: A Human-Centered Approach to a Novel ICU Information Visualization Dashboard.

    Science.gov (United States)

    Faiola, Anthony; Srinivas, Preethi; Duke, Jon

    2015-01-01

    Advances in intensive care unit bedside displays/interfaces and electronic medical record (EMR) technology have not adequately addressed the topic of visual clarity of patient data/information to further reduce cognitive load during clinical decision-making. We responded to these challenges with a human-centered approach to designing and testing a decision-support tool: MIVA 2.0 (Medical Information Visualization Assistant, v.2). Envisioned as an EMR visualization dashboard to support rapid analysis of real-time clinical data-trends, our primary goal originated from a clinical requirement to reduce cognitive overload. In the study, a convenience sample of 12 participants were recruited, in which quantitative and qualitative measures were used to compare MIVA 2.0 with ICU paper medical-charts, using time-on-task, post-test questionnaires, and interviews. Findings demonstrated a significant difference in speed and accuracy with the use of MIVA 2.0. Qualitative outcomes concurred, with participants acknowledging the potential impact of MIVA 2.0 for reducing cognitive load and enabling more accurate and quicker decision-making.

  3. OCCUPATIONAL THERAPY EXPERIENCES IN THE FAMILY HEALTH SUPPORT CENTERS (NASF IN THE DISTRITO FEDERAL

    Directory of Open Access Journals (Sweden)

    Kelly Ranyelle Alves Araujo

    2013-09-01

    Full Text Available To support and expand the care attention and the health management in primary care, in particular the Family Health Strategy, it was created the Family Health Support Centers (NASF. The NASF accounts with several professionals, including occupational therapists, who develop different activities, including health promotion, holistic care and psychosocial rehabilitation. The aim of this article is to discuss from practical experience in a NASF in the metropolitan region of Brasilia how students and practitioners of occupational therapy falls within that service, identifying the main limitations and the work that advances the health care setting. Results: The students and occupational therapist service sought to develop an integrated and intersectoral. Actions were part of the home visits, group approaches with different community groups, active search for users and partnerships in the community. Thus, the work is still very limited assistance and connected to the matricial point of view, as recommended. We conclude that, despite the NASF be a new field of labor for occupational therapists, the actions of social inclusion, empowerment and citizenship developed can encourage healthy habits, but practices need to be revised to follow the proposal of this device.

  4. The role of physical therapists in the context of family health support centers

    Directory of Open Access Journals (Sweden)

    Cássia Cristina Braghini

    Full Text Available Abstract Introduction: Since 2008, with the establishment of Family Health Support Centers (NASF, physiotherapists have been listed among professionals to be included in the team. Physical therapists have many assignments in the NASF, which are conducted through group sessions, in the households, with complementary and integrative practices, lectures and referrals to reference services. Objective: To analyze role and obstacles to the realization of the work of the physiotherapists in NASF. Methods: This is a qualitative research, guided by the case study method. The population was composed by eight physiotherapists active in NASF. Participant observation and semi-structured interviews with physiotherapists were used for data collection. Results: The actions performed by physiotherapists consist of group assistance, home visits, ear therapy and oxygen therapy and activities of health education and disease prevention. As for the barriers, these included lack of training to work at NASF; structural and organizational impediments; insufficient workload and fragility of professional training to work with public health. Conclusion: The role of physiotherapists is in line, in part, with the guidelines recommended by NASF, but principles as matrix support and collective pacts need to be strengthened.

  5. Self-improving Inference System to Support the Intelligence Preparation of the Battlefield: Requirements, State of the Art, and Prototypes

    Science.gov (United States)

    2014-12-01

    droit du Canada), telle que représentée par le ministre de la Défense nationale, 2014 Abstract …….. This report presents the results of...documents coming from the international military community (doctrine, manuals) as well as from the academia (scientific papers). From this analysis, a...References ..... [1] US Military, “US Joint Intelligence Preparation of the Operational Environment”, Joint Publication 2-01.3, 16 June

  6. DESIGN OF AN INTELLIGENT SYSTEM TO DETECT TYPE OF PAIN USING ARTIFICIAL NEURAL NETWORK FOR PATIENTS WITH SPINAL CORD INJURY IN SHEFA NEUROSCIENCE RESEARCH CENTER

    OpenAIRE

    Nasrolah Nasr HeidarAbadi, Reza Safdari, Peirhossein Kolivand, Amir Javadi, Azimeh Danesh Shahraki1, Marjan Ghazi Saeidi*

    2017-01-01

    Using artificial intelligence in computerized clinical systems helps physicians diagnose disease or choose treatment. Intelligent methods are constantly changed to be more effective and accurate for quick medical diagnosis. Neural networks are a powerful tool to help physicians. The tools can process a high number of data and minimize errors in ignoring patients' information. Intelligent system design based on artificial neural network was performed in 3 phases. Phase1: Designing the data rec...

  7. Intelligent Vehicle Health Management

    Science.gov (United States)

    Paris, Deidre E.; Trevino, Luis; Watson, Michael D.

    2005-01-01

    As a part of the overall goal of developing Integrated Vehicle Health Management systems for aerospace vehicles, the NASA Faculty Fellowship Program (NFFP) at Marshall Space Flight Center has performed a pilot study on IVHM principals which integrates researched IVHM technologies in support of Integrated Intelligent Vehicle Management (IIVM). IVHM is the process of assessing, preserving, and restoring system functionality across flight and ground systems (NASA NGLT 2004). The framework presented in this paper integrates advanced computational techniques with sensor and communication technologies for spacecraft that can generate responses through detection, diagnosis, reasoning, and adapt to system faults in support of INM. These real-time responses allow the IIVM to modify the affected vehicle subsystem(s) prior to a catastrophic event. Furthermore, the objective of this pilot program is to develop and integrate technologies which can provide a continuous, intelligent, and adaptive health state of a vehicle and use this information to improve safety and reduce costs of operations. Recent investments in avionics, health management, and controls have been directed towards IIVM. As this concept has matured, it has become clear the INM requires the same sensors and processing capabilities as the real-time avionics functions to support diagnosis of subsystem problems. New sensors have been proposed, in addition, to augment the avionics sensors to support better system monitoring and diagnostics. As the designs have been considered, a synergy has been realized where the real-time avionics can utilize sensors proposed for diagnostics and prognostics to make better real-time decisions in response to detected failures. IIVM provides for a single system allowing modularity of functions and hardware across the vehicle. The framework that supports IIVM consists of 11 major on-board functions necessary to fully manage a space vehicle maintaining crew safety and mission

  8. Artificial intelligence

    CERN Document Server

    Hunt, Earl B

    1975-01-01

    Artificial Intelligence provides information pertinent to the fundamental aspects of artificial intelligence. This book presents the basic mathematical and computational approaches to problems in the artificial intelligence field.Organized into four parts encompassing 16 chapters, this book begins with an overview of the various fields of artificial intelligence. This text then attempts to connect artificial intelligence problems to some of the notions of computability and abstract computing devices. Other chapters consider the general notion of computability, with focus on the interaction bet

  9. Intelligent mechatronics; Intelligent mechatronics

    Energy Technology Data Exchange (ETDEWEB)

    Hashimoto, H. [The University of Tokyo, Tokyo (Japan). Institute of Industrial Science

    1995-10-01

    Intelligent mechatronics (IM) was explained as follows: a study of IM essentially targets realization of a robot namely, but in the present stage the target is a creation of new values by intellectualization of machine, that is, a combination of the information infrastructure and the intelligent machine system. IM is also thought to be constituted of computers positively used and micromechatronics. The paper next introduces examples of IM study, mainly those the author is concerned with as shown below: sensor gloves, robot hands, robot eyes, tele operation, three-dimensional object recognition, mobile robot, magnetic bearing, construction of remote controlled unmanned dam, robot network, sensitivity communication using neuro baby, etc. 27 figs.

  10. Artificial Intelligence and Moral intelligence

    OpenAIRE

    Laura Pana

    2008-01-01

    We discuss the thesis that the implementation of a moral code in the behaviour of artificial intelligent systems needs a specific form of human and artificial intelligence, not just an abstract intelligence. We present intelligence as a system with an internal structure and the structural levels of the moral system, as well as certain characteristics of artificial intelligent agents which can/must be treated as 1- individual entities (with a complex, specialized, autonomous or selfdetermined,...

  11. A review of zoonotic disease surveillance supported by the Armed Forces Health Surveillance Center.

    Science.gov (United States)

    Burke, R L; Kronmann, K C; Daniels, C C; Meyers, M; Byarugaba, D K; Dueger, E; Klein, T A; Evans, B P; Vest, K G

    2012-05-01

    The Armed Forces Health Surveillance Center (AFHSC), Division of Global Emerging Infections Surveillance and Response System conducts disease surveillance through a global network of US Department of Defense research laboratories and partnerships with foreign ministries of agriculture, health and livestock development in over 90 countries worldwide. In 2010, AFHSC supported zoonosis survey efforts were organized into four main categories: (i) development of field assays for animal disease surveillance during deployments and in resource limited environments, (ii) determining zoonotic disease prevalence in high-contact species which may serve as important reservoirs of diseases and sources of transmission, (iii) surveillance in high-risk human populations which are more likely to become exposed and subsequently infected with zoonotic pathogens and (iv) surveillance at the human-animal interface examining zoonotic disease prevalence and transmission within and between human and animal populations. These efforts have aided in the detection, identification and quantification of the burden of zoonotic diseases such as anthrax, brucellosis, Crimean Congo haemorrhagic fever, dengue fever, Hantaan virus, influenza, Lassa fever, leptospirosis, melioidosis, Q fever, Rift Valley fever, sandfly fever Sicilian virus, sandfly fever Naples virus, tuberculosis and West Nile virus, which are of military and public health importance. Future zoonotic surveillance efforts will seek to develop local capacity for zoonotic surveillance focusing on high risk populations at the human-animal interface. © 2011 Blackwell Verlag GmbH.

  12. Anthropometric record to be used in Centers for Family Health Support: possibilities and obstacles

    Directory of Open Access Journals (Sweden)

    Camila Fabiana Rossi Squarcini

    2015-02-01

    Full Text Available DOI: http://dx.doi.org/10.5007/1980-0037.2015v17n2p248   A model of an anthropometric record to be used in the Núcleos de Apoio à Saúde da Família (Centers for Family Health Support in Brazil has been proposed in the literature, showing the logistics of use. The aim of this study was to discuss the anthropometric record, showing the potential and obstacles of its use. It was observed that, for adults, the screening measures (body mass index and waist circumference for the determination of the risk of cardiovascular and metabolic diseases can be considered promising, although the Basic Health Care network already uses these measures. Nevertheless, the supplementary assessment (skinfold thickness and body circumferences could be another potential possibility, except for the time spent to perform this assessment and the lack of studies of the cost-benefit of these anthropometric techniques. It was concluded that the anthropometric record proposed is an important instrument for improving the quality of the service provided to users of the Basic Health Care System; however, some adjustments, such as the removal of skinfold measurements as part of primary care, should be taken into consideration.

  13. Decision support system development at the Upper Midwest Environmental Sciences Center

    Science.gov (United States)

    Fox, Timothy J.; Nelson, J. C.; Rohweder, Jason J.

    2014-01-01

    A Decision Support System (DSS) can be defined in many ways. The working definition used by the U.S. Geological Survey Upper Midwest Environmental Sciences Center (UMESC) is, “A spatially based computer application or data that assists a researcher or manager in making decisions.” This is quite a broad definition—and it needs to be, because the possibilities for types of DSSs are limited only by the user group and the developer’s imagination. There is no one DSS; the types of DSSs are as diverse as the problems they help solve. This diversity requires that DSSs be built in a variety of ways, using the most appropriate methods and tools for the individual application. The skills of potential DSS users vary widely as well, further necessitating multiple approaches to DSS development. Some small, highly trained user groups may want a powerful modeling tool with extensive functionality at the expense of ease of use. Other user groups less familiar with geographic information system (GIS) and spatial data may want an easy-to-use application for a nontechnical audience. UMESC has been developing DSSs for almost 20 years. Our DSS developers offer our partners a wide variety of technical skills and development options, ranging from the most simple Web page or small application to complex modeling application development.

  14. Workforce Retention Study in support of the U.S. Army Aberdeen Test Center human capital management strategy

    OpenAIRE

    Fore, Richard; Hacker, Kelly; Reedy, Michael; Sanchez-Vahamonde, Kristi; Whelan, Sean

    2016-01-01

    Approved for public release; distribution is unlimited In Fiscal Year 15, the U.S. Army Aberdeen Test Center (ATC) experienced an attrition rate of 10.4% of its civilian workforce. Without mitigation, the current employee turnover could result in a loss of organizational knowledge, reduction in the number of highly skilled test center employees, and a failure for ATC to meet mission objectives, namely the execution of rigorous testing to support Department of Defense acquisition programs. ...

  15. Career Advancement and Work Support Services on the Job: Implementing the Fort Worth Work Advancement and Support Center Program. Executive Summary

    Science.gov (United States)

    Schultz, Caroline; Seith, David

    2011-01-01

    The Work Advancement and Support Center (WASC) program in Fort Worth was part of a demonstration that is testing innovative strategies to help increase the income of low-wage workers, who make up a large segment of the U.S. workforce. The program offered services to help workers stabilize their employment, improve their skills, and increase their…

  16. A proposal for improving data center management through strategic implementation of Server virtualization technology to support Malaysian Nuclear Agency's activities

    International Nuclear Information System (INIS)

    Mohamad Safuan Sulaiman; Abdul Muin Abdul Rahman; Raja Murzaferi Raja Moktar; Saaidi Ismail

    2010-01-01

    Management of servers in Nuclear Malaysia's data center poses a big challenge to IT Center as well as to the general management. Traditional server management techniques have been used to provide reliable and continuous support for the ever increasing services and applications demanded by researchers and the other staffs of Nuclear Malaysia. Data centers are cost centers which need logistical support such as electricity, air conditioning, room space, manpower and other resources. To save cost and comply with Green Technology while maintaining or improving the level of services, a new concept called server virtualization is proposed and a feasibility study of this technology has been initiated to explore its potential to accommodate IT centers ever demanding services while reducing the need for such logistical supports, hence adhering to the Green IT concept. Server virtualization is a new technology where a single high performance physical server can host multiple high processing services, and different types operating systems with different hardware and software requirements which are traditionally performed by multiple server machines. This paper briefly explains server virtualization concepts, tools and techniques and proposes an implementation strategy of the technology for Nuclear Malaysia's data center. (author)

  17. 75 FR 69573 - Export Enforcement Coordination Center

    Science.gov (United States)

    2010-11-15

    ... Export Enforcement Coordination Center By the authority vested in me as President by the Constitution and... enforcement of United States export control laws and enhanced intelligence exchange in support of such enforcement efforts, it is hereby ordered as follows: Section 1. Policy. Export controls are critical to...

  18. Design and operation of the emergency support center, CAE; Diseno y explotacion del centro de apoyo en emergencias, CAE

    Energy Technology Data Exchange (ETDEWEB)

    Caro, R. J.; Lopez Trillo, E.

    2016-08-01

    The enhancements developed in Spain in the area of Emergency Management, as consequence of the accident at the Fukushima Dai-Ichi NPP in 2011, included the definition of new emergency response centers; Alternative Center for Emergency Management (CAGE) on each NPP and the Emergency Support Center (CAE), shared by all NPPs. This article summarizes the main features and operation activities undertaken since the establishment of the new CAE, centralized, external to the NPPs shared by all Spanish plants and managed by Tecnatom. (Author)

  19. Effects of supported metallocene catalyst active center multiplicity on antioxidant-stabilized ethylene homo- and copolymers

    KAUST Repository

    Atiqullah, Muhammad

    2014-10-09

    © 2014 Akadémiai Kiadó, Budapest, Hungary. A silica-supported bis(n-butylcyclopentadienyl) zirconium dichloride [( n BuCp)2ZrCl2] catalyst was synthesized. This was used to prepare an ethylene homopolymer and an ethylene-1-hexene copolymer. The active center multiplicity of this catalyst was modeled by deconvoluting the copolymer molecular mass distribution and chemical composition distribution. Five different active site types were predicted, which matched the successive self-nucleation and annealing temperature peaks. The thermo-oxidative melt stability, with and without Irganox 1010 and Irgafos 168, of the above polyethylenes was investigated using nonisothermal differential scanning calorimetric (DSC) experiments at 150 °C. This is a temperature that ensures complete melting of the samples and avoids the diffusivity of oxygen to interfere into polyethylene crystallinity and its thermo-oxidative melt degradation. The oxidation parameters such as onset oxidation temperature, induction period, protection factor, and S-factor were determined by combining theoretical modeling with the DSC experiments. Subsequently, these findings were discussed considering catalyst active center multiplicity and polymer microstructure, particularly average ethylene sequence length. Several insightful results, which have not been reported earlier in the literature, were obtained. The antioxidant effect, for each polymer, varied as (Irganox + Irgafos) ≈ Irganox > Irgafos > Neat polymer. The as-synthesized homopolymer turned out to be almost twice as stable as the corresponding copolymer. The antioxidant(s) in the copolymer showed higher antioxidant effectiveness (AEX) than those in the homopolymer. Irganox exhibited more AEX than Irgafos. To the best of our knowledge, such findings have not been reported earlier in the literature. However, mixed with Irganox or Irgafos, their melt oxidation stability was comparable. The homopolymer, as per the calculated S-factor, showed Irganox

  20. A Case Study in Competitive Technical and Market Intelligence Support and Lessons Learned for the uChemLab LDRD Grand Challenge Project; TOPICAL

    International Nuclear Information System (INIS)

    SOUTHWELL, EDWIN T.; GARCIA, MARIE L.; MEYERS, CHARLES E.

    2001-01-01

    The(mu)ChemLab(trademark) Laboratory Directed Research and Development (LDRD) Grand Challenge project began in October 1996 and ended in September 2000. The technical managers of the(mu)ChemLab(trademark) project and the LDRD office, with the support of a consultant, conducted a competitive technical and market demand intelligence analysis of the(mu)ChemLab(trademark). The managers used this knowledge to make project decisions and course adjustments. CTI/MDI positively impacted the project's technology development, uncovered potential technology partnerships, and supported eventual industry partner contacts. CTI/MDI analysis is now seen as due diligence and the(mu)ChemLab(trademark) project is now the model for other Sandia LDRD Grand Challenge undertakings. This document describes the CTI/MDI analysis and captures the more important ''lessons learned'' of this Grand Challenge project, as reported by the project's management team

  1. Clean Energy Solutions Center and SE4All: Partnering to Support Country Actions

    Energy Technology Data Exchange (ETDEWEB)

    2016-05-01

    Since 2012, the Clean Energy Solutions Center (Solutions Center) and Sustainable Energy for All (SE4All) have partnered to deliver information, knowledge and expert assistance to policymakers and practitioners in countries actively working to achieve SE4All objectives. Through SE4All efforts, national governments are implementing integrated country actions to strategically transform their energy markets. This fact sheet details the Solutions Center and SE4All partnership and available areas of technical assistance.

  2. An Analytical Model / Emotional Intelligence Quotient and QOL in Mothers with Infants in Japan

    OpenAIRE

    Ohashi, Junko; Katsura, Toshiki; Hoshino, Akiko; Usui, Kanae

    2013-01-01

    Objective: The purpose of this study was to examine the relationship between the emotional intelligence quotient and health-related quality of life using structural equation modeling. Methods: A self-administered questionnaire survey was conducted among 1,911 mothers who visited the Health Center for an infant medical examination. A hypothetical model was constructed using variables of the emotional intelligence quotient, social support, coping, parenting stress, and perceived health competen...

  3. Mechanical circulatory support as a bridge to cardiac retransplantation: a single center experience.

    Science.gov (United States)

    Clerkin, Kevin J; Thomas, Sunu S; Haythe, Jennifer; Schulze, P Christian; Farr, Maryjane; Takayama, Hiroo; Jorde, Ulrich P; Restaino, Susan W; Naka, Yoshifumi; Mancini, Donna M

    2015-02-01

    Cardiac retransplantation is increasing in frequency. Recent data have shown that retransplantation outcomes are now comparable with primary transplantation. The use of mechanical circulatory support (MCS) as a bridge to retransplantation has similar post-retransplant outcomes to those without MCS, but the success of bridging patients to retransplant with MCS has not been well studied. From January 2000 to February 2014 at Columbia University Medical Center, 84 patients were listed for retransplantation. Of this cohort, 48 patients underwent retransplantation, 15 were bridged with MCS, 24 died, and 6 clinically improved. A retrospective analysis was performed examining waiting list time, survival to retransplantation, and survival after retransplant. The effect of the United Network of Organ Sharing (UNOS) allocation policy change in 2006 on waiting list time and MCS use was also investigated. Of 48 patients who underwent retransplantation, 11 were bridged with MCS. Overall 1-year survival to retransplantation was 81.3%. There was no significant difference in waiting list survival (p = 0.71) in those with and without MCS. Death from cardiac arrest or multiorgan failure with infection was more frequent in the medically managed group (p = 0.002). After the UNOS 2006 allocation policy change, waiting list time (599 ± 936 days in Era 1 vs 526 ± 498 days in Era 2, p = 0.65) and waiting list survival (p = 0.22) between eras were comparable, but there was a trend toward greater use of MCS (p = 0.13). Survival after retransplant was acceptable. The use of MCS as a bridge to cardiac retransplantation is a reasonable strategy. Copyright © 2015 International Society for Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.

  4. Improving coordination of care centers for the elderly through IT support

    DEFF Research Database (Denmark)

    Johansen, Andreas Kaas; Lauridsen, Frederik Vahr Bjarnø; Manea, Vlad

    2015-01-01

    In Denmark, care of elderly people involves numerous and relatively autonomous care providers, including care centers, activity centers, physiotherapists, doctors, and other specialists. However, due to a poor coordination of activities, many elderly experience a lack of continuity of care, misse...... the disruptions in the existing routines, minimize the inherent articulation work, and coherently unify their coordination mechanisms....

  5. Artificial intelligence: Neural network model as the multidisciplinary team member in clinical decision support to avoid medical mistakes

    Directory of Open Access Journals (Sweden)

    Igor Vyacheslavovich Buzaev

    2016-09-01

    Full Text Available Objective: The continuous uninterrupted feedback system is the essential part of any well-organized system. We propose aLYNX concept that is a possibility to use an artificial intelligence algorithm or a neural network model in decision-making system so as to avoid possible mistakes and to remind the doctors to review tactics once more in selected cases. Method: aLYNX system includes: registry with significant factors, decisions and results; machine learning process based on this registry data; the use of the machine learning results as the adviser. We show a possibility to build a computer adviser with a neural network model for making a choice between coronary aortic bypass surgery (CABG and percutaneous coronary intervention (PCI in order to achieve a higher 5-year survival rate in patients with angina based on the experience of 5107 patients. Results: The neural network was trained by 4679 patients who achieved 5-year survival. Among them, 2390 patients underwent PCI and 2289 CABG. After training, the correlation coefficient (r of the network was 0.74 for training, 0.67 for validation, 0.71 for test and 0.73 for total. Simulation of the neural network function has been performed after training in the two groups of patients with known 5-year outcome. The disagreement rate was significantly higher in the dead patient group than that in the survivor group between neural network model and heart team [16.8% (787/4679 vs. 20.3% (87/428, P = 0.065]. Conclusion: The study shows the possibility to build a computer adviser with a neural network model for making a choice between CABG and PCI in order to achieve a higher 5-year survival rate in patients with angina. Keywords: Coronary artery bypass grafting, Percutaneous coronary intervention, Artificial intelligence, Decision making

  6. Making the Most of MASINT and Advanced Geospatial Intelligence

    Science.gov (United States)

    2012-04-10

    SIGINT), human intelligence (HUMINT), open source intelligence , ( OSINT ), and measurement and signatures intelligence (MASINT). All sources progress...the underlying principles of MASINT technologies and the operators and analysts who have intelligence questions that MASINT sources may be able to...integrity, analysts should instead use these sources of MASINT in support of less time-sensitive intelligence problems. Through creative or

  7. Artificial Intelligence.

    Science.gov (United States)

    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…

  8. Use of Evidence-Based Practice Resources and Empirically Supported Treatments for Posttraumatic Stress Disorder among University Counseling Center Psychologists

    Science.gov (United States)

    Juel, Morgen Joray

    2012-01-01

    In the present study, an attempt was made to determine the degree to which psychologists at college and university counseling centers (UCCs) utilized empirically supported treatments with their posttraumatic stress disorder (PTSD) clients. In addition, an attempt was made to determine how frequently UCC psychologists utilized a number of…

  9. Community centers of UNESCO-Chernobyl programme-psychological support model for population in a post-catastrophe crisis

    Energy Technology Data Exchange (ETDEWEB)

    Garnets, O. [UNESCO-Chernobyl Programme Project (Ukraine)

    1998-07-01

    Community Centers for Psycho-social Rehabilitation created within UNESCO - Chernobyl Programme (Project no 64) is aimed at providing psychological support to population suffered from the catastrophe. Centers are located in communities that in different ways suffered from Chernobyl - people evacuated and relocated from the contaminated territories, people who are still living in contaminated regions, employees of the nuclear power plant etc. Centres are providing psychological support to people suffered from Chernobyl catastrophe, trough developing adaptive behavior models under living conditions that changed - both ecological and social and economic crises, developing of personal and social responsibility in community members. The professionals of Community Centers implement activities aimed on coping victimization, on community interaction and communities restructuring. They are working with all age and social groups in the communities, with acute crises and suicide prevention, creating mutual support mechanisms. Centres performance results in decrease of psycho-social tension and anxiety in population. Centers present successfully functioning model of social and psychological support under complicated ecological and social conditions in post soviet countries. They have accumulated unique professional and organizational experience of efficient work in, a post-catastrophe period under social and economic crisis. (author)

  10. Professionals' Perspectives on Organizational Factors that Support or Hinder the Successful Implementation of Family-Centered Practice

    Science.gov (United States)

    Wright, Alexandra; Hiebert-Murphy, Diane; Trute, Barry

    2010-01-01

    This article presents findings from an exploratory, qualitative study whose objective was to identify professionals' perceptions of organizational factors that support or hinder the implementation of family-centered practice (FCP). Two disability services organizations in Manitoba, Canada, were selected as the research sites. In 2002, all staff…

  11. Community centers of UNESCO-Chernobyl programme-psychological support model for population in a post-catastrophe crisis

    International Nuclear Information System (INIS)

    Garnets, O.

    1998-01-01

    Community Centers for Psycho-social Rehabilitation created within UNESCO - Chernobyl Programme (Project no 64) is aimed at providing psychological support to population suffered from the catastrophe. Centers are located in communities that in different ways suffered from Chernobyl - people evacuated and relocated from the contaminated territories, people who are still living in contaminated regions, employees of the nuclear power plant etc. Centres are providing psychological support to people suffered from Chernobyl catastrophe, trough developing adaptive behavior models under living conditions that changed - both ecological and social and economic crises, developing of personal and social responsibility in community members. The professionals of Community Centers implement activities aimed on coping victimization, on community interaction and communities restructuring. They are working with all age and social groups in the communities, with acute crises and suicide prevention, creating mutual support mechanisms. Centres performance results in decrease of psycho-social tension and anxiety in population. Centers present successfully functioning model of social and psychological support under complicated ecological and social conditions in post soviet countries. They have accumulated unique professional and organizational experience of efficient work in, a post-catastrophe period under social and economic crisis. (author)

  12. It's All in the Game: How to Use Simulation-Games for Competitive Intelligence and How to Support Them by ICT

    NARCIS (Netherlands)

    Achterbergh, J.M.I.M.; Vriens, D.J.; Vriens, D.J.

    2003-01-01

    In this chapter, we explore the role of simulation games for intelligence activities. Although games have been used in intelligence activities, the contribution of building and using simulation games to Competitive Intelligence has, to our knowledge, not been examined thoroughly. In this chapter we

  13. Program Spotlight: Ground Broken for NCI-supported Cancer Treatment Center in Puerto Rico

    Science.gov (United States)

    Dr. Sanya A. Springfield represented NCI at the groundbreaking ceremonies for the University of Puerto Rico (UPR) cancer hospital. In her remarks, she acknowledged the driving force behind this development is the UPR and the MD Anderson Cancer Center partnership.

  14. Work Centered Support System Design: Using Frames to Reduce Work Complexity

    National Research Council Canada - National Science Library

    Eggleston, Robert G; Whitaker, Randall D

    2002-01-01

    .... Based on our experience implementing the design of three WCSSs we have distilled a set of three form-based design principles that help insure a work-centered perspective is expressed in the interface...

  15. The efficacy of student-centered instruction in supporting science learning.

    Science.gov (United States)

    Granger, E M; Bevis, T H; Saka, Y; Southerland, S A; Sampson, V; Tate, R L

    2012-10-05

    Transforming science learning through student-centered instruction that engages students in a variety of scientific practices is central to national science-teaching reform efforts. Our study employed a large-scale, randomized-cluster experimental design to compare the effects of student-centered and teacher-centered approaches on elementary school students' understanding of space-science concepts. Data included measures of student characteristics and learning and teacher characteristics and fidelity to the instructional approach. Results reveal that learning outcomes were higher for students enrolled in classrooms engaging in scientific practices through a student-centered approach; two moderators were identified. A statistical search for potential causal mechanisms for the observed outcomes uncovered two potential mediators: students' understanding of models and evidence and the self-efficacy of teachers.

  16. Intelligence Ethics:

    DEFF Research Database (Denmark)

    Rønn, Kira Vrist

    2016-01-01

    Questions concerning what constitutes a morally justified conduct of intelligence activities have received increased attention in recent decades. However, intelligence ethics is not yet homogeneous or embedded as a solid research field. The aim of this article is to sketch the state of the art...... of intelligence ethics and point out subjects for further scrutiny in future research. The review clusters the literature on intelligence ethics into two groups: respectively, contributions on external topics (i.e., the accountability of and the public trust in intelligence agencies) and internal topics (i.......e., the search for an ideal ethical framework for intelligence actions). The article concludes that there are many holes to fill for future studies on intelligence ethics both in external and internal discussions. Thus, the article is an invitation – especially, to moral philosophers and political theorists...

  17. Center for Corporate Climate Leadership Building Internal Support in Supply Chain Management

    Science.gov (United States)

    Organizations build support for addressing GHG emissions by developing key allies in business units, leveraging one business unit to drive change across the organization, and securing executive support while communicating resource needs.

  18. Robot Advanced Intelligent Control developed through Versatile ...

    African Journals Online (AJOL)

    pc

    2018-03-05

    Mar 5, 2018 ... environments of human life exposed to great dangers such as support and repair in .... intelligent control interfaces, network quality of service, shared resources and ..... Artificial Intelligence series, volume 6556, p. 336-349 ...

  19. Games and Entertainment in Ambient Intelligence Environments

    NARCIS (Netherlands)

    Nijholt, Antinus; Reidsma, Dennis; Poppe, Ronald Walter; Aghajan, H.; López-Cózar Delgado, R.; Augusto, J.C.

    2009-01-01

    In future ambient intelligence (AmI) environments we assume intelligence embedded in the environment and its objects (floors, furniture, mobile robots). These environments support their human inhabitants in their activities and interactions by perceiving them through sensors (proximity sensors,

  20. Intelligent Tools and Instructional Simulations

    National Research Council Canada - National Science Library

    Murray, William R; Sams, Michelle; Belleville, Michael

    2001-01-01

    This intelligent tools and instructional simulations project was an investigation into the utility of a knowledge-based performance support system to support learning and on-task performance for using...

  1. The 1988 Goddard Conference on Space Applications of Artificial Intelligence

    Science.gov (United States)

    Rash, James (Editor); Hughes, Peter (Editor)

    1988-01-01

    This publication comprises the papers presented at the 1988 Goddard Conference on Space Applications of Artificial Intelligence held at the NASA/Goddard Space Flight Center, Greenbelt, Maryland on May 24, 1988. The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed. The papers in these proceedings fall into the following areas: mission operations support, planning and scheduling; fault isolation/diagnosis; image processing and machine vision; data management; modeling and simulation; and development tools/methodologies.

  2. University/Science Center Collaborations (A Science Center Perspective): Developing an Infrastructure of Partnerships with Science Centers to Support the Engagement of Scientists and Engineers in Education and Outreach for Broad Impact

    Science.gov (United States)

    Marshall, Eric

    2009-03-01

    Science centers, professional associations, corporations and university research centers share the same mission of education and outreach, yet come from ``different worlds.'' This gap may be bridged by working together to leverage unique strengths in partnership. Front-end evaluation results for the development of new resources to support these (mostly volunteer-based) partnerships elucidate the factors which lead to a successful relationship. Maintaining a science museum-scientific community partnership requires that all partners devote adequate resources (time, money, etc.). In general, scientists/engineers and science museum professionals often approach relationships with different assumptions and expectations. The culture of science centers is distinctly different from the culture of science. Scientists/engineers prefer to select how they will ultimately share their expertise from an array of choices. Successful partnerships stem from clearly defined roles and responsibilities. Scientists/engineers are somewhat resistant to the idea of traditional, formal training. Instead of developing new expertise, many prefer to offer their existing strengths and expertise. Maintaining a healthy relationship requires the routine recognition of the contributions of scientists/engineers. As professional societies, university research centers and corporations increasingly engage in education and outreach, a need for a supportive infrastructure becomes evident. Work of TryScience.org/VolTS (Volunteers TryScience), the MRS NISE Net (Nanoscale Informal Science Education Network) subcommittee, NRCEN (NSF Research Center Education Network), the IBM On Demand Community, and IEEE Educational Activities exemplify some of the pieces of this evolving infrastructure.

  3. Clinical Process Intelligence

    DEFF Research Database (Denmark)

    Vilstrup Pedersen, Klaus

    2006-01-01

    .e. local guidelines. From a knowledge management point of view, this externalization of generalized processes, gives the opportunity to learn from, evaluate and optimize the processes. "Clinical Process Intelligence" (CPI), will denote the goal of getting generalized insight into patient centered health...

  4. Intelligence, Surveillance, and Reconnaissance Support to Humanitarian Relief Operations within the United States: Where Everyone is in Charge

    National Research Council Canada - National Science Library

    Sovada, Jennifer P

    2008-01-01

    ... the leadership of the military, federal government, and state governments since Hurricane Katrina. These organizations have deemed ISR support essential to conducting timely, effective, and responsive relief operations...

  5. Intelligence Naturelle et Intelligence Artificielle

    OpenAIRE

    Dubois, Daniel

    2011-01-01

    Cet article présente une approche systémique du concept d’intelligence naturelle en ayant pour objectif de créer une intelligence artificielle. Ainsi, l’intelligence naturelle, humaine et animale non-humaine, est une fonction composée de facultés permettant de connaître et de comprendre. De plus, l'intelligence naturelle reste indissociable de la structure, à savoir les organes du cerveau et du corps. La tentation est grande de doter les systèmes informatiques d’une intelligence artificielle ...

  6. Nutritional support team vs nonteam management of enteral nutritional support in a Veterans Administration Medical Center teaching hospital.

    Science.gov (United States)

    Powers, D A; Brown, R O; Cowan, G S; Luther, R W; Sutherland, D A; Drexler, P G

    1986-01-01

    One hundred one patients receiving enteral nutritional support (ENS) by tube feeding during a 5-month period were prospectively studied. Fifty patients were managed by a nutritional support team (T) and 51 patients were managed by the nonteam approach (NT). Demographics, primary diagnosis, chronic diseases, medical service, calculated basal energy expenditure (BEE), duration of ENS, and final patient disposition were recorded. Enteral formula, formula modifications, results of laboratory tests and calories delivered were obtained daily. Results of nitrogen balance studies were obtained when available and each patient was monitored for pulmonary, mechanical, gastrointestinal, and metabolic abnormalities. No significant difference was found between the team and nonteam managed groups in regard to total feeding days, mean feeding days per patient, total laboratory tests, laboratory tests per patient or laboratory tests per day. Significantly more team patients attained 1.2 times BEE (T = 47, NT = 38, p less than 0.05) for a significantly greater period of time (T = 398 days, NT = 281 days, p less than 0.05). Significantly more team patients achieved a measured positive nitrogen balance than nonteam patients (T = 42, NT = 1, p less than 0.05). Formula modifications to correct nutritional or metabolic aberrations were made in 15 (30%) team patients and five (9.8%) nonteam patients (p less than 0.05). The number of individual abnormalities (pulmonary, mechanical, gastrointestinal, and metabolic), as well as total abnormalities occurring in the team-managed group, was significantly lower than in the nonteam managed group (160 vs 695, p less than 0.05).(ABSTRACT TRUNCATED AT 250 WORDS)

  7. NNDC [National Nuclear Data Center] support for fusion nuclear data needs

    International Nuclear Information System (INIS)

    Dunford, C.L.

    1988-01-01

    The National Data Center (NNDC) located at Brookhaven National Laboratory is an outgrowth of the Sigma Center founded by D.J. Hughes to compile low energy neutron reaction data in the 1950's. The center has played a lead role in the production of evaluated nuclear data (ENDF/B) for the United States nuclear power program. This data file, now in its sixth version, is produced as a cooperative effort of many DOE funded organizations via the Cross Section Evaluation Working Group (GSEWG). The NNDC's role, in addition to providing the structure and leadership for CSEWG, is to supply compiled bibliographic and experimental data and provide file processing, checking, distribution and documentation services. In the past, the NNDC has also produced nuclear data evaluations.lt. slash

  8. Intelligent editor/printer enhancements

    Science.gov (United States)

    Woodfill, M. C.; Pheanis, D. C.

    1983-01-01

    Microprocessor support hardware, software, and cross assemblers relating to the Motorola 6800 and 6809 process systems were developed. Pinter controller and intelligent CRT development are discussed. The user's manual, design specifications for the MC6809 version of the intelligent printer controller card, and a 132-character by 64-line intelligent CRT display system using a Motorola 6809 MPU, and a one-line assembler and disassembler are provided.

  9. Artificial intelligence: Neural network model as the multidisciplinary team member in clinical decision support to avoid medical mistakes.

    Science.gov (United States)

    Buzaev, Igor Vyacheslavovich; Plechev, Vladimir Vyacheslavovich; Nikolaeva, Irina Evgenievna; Galimova, Rezida Maratovna

    2016-09-01

    The continuous uninterrupted feedback system is the essential part of any well-organized system. We propose aLYNX concept that is a possibility to use an artificial intelligence algorithm or a neural network model in decision-making system so as to avoid possible mistakes and to remind the doctors to review tactics once more in selected cases. aLYNX system includes: registry with significant factors, decisions and results; machine learning process based on this registry data; the use of the machine learning results as the adviser. We show a possibility to build a computer adviser with a neural network model for making a choice between coronary aortic bypass surgery (CABG) and percutaneous coronary intervention (PCI) in order to achieve a higher 5-year survival rate in patients with angina based on the experience of 5107 patients. The neural network was trained by 4679 patients who achieved 5-year survival. Among them, 2390 patients underwent PCI and 2289 CABG. After training, the correlation coefficient ( r ) of the network was 0.74 for training, 0.67 for validation, 0.71 for test and 0.73 for total. Simulation of the neural network function has been performed after training in the two groups of patients with known 5-year outcome. The disagreement rate was significantly higher in the dead patient group than that in the survivor group between neural network model and heart team [16.8% (787/4679) vs. 20.3% (87/428), P  = 0.065)]. The study shows the possibility to build a computer adviser with a neural network model for making a choice between CABG and PCI in order to achieve a higher 5-year survival rate in patients with angina.

  10. A Better Way to Budget: Building Support for Bold, Student-Centered Change in Public Schools

    Science.gov (United States)

    Levenson, Nathan

    2015-01-01

    "A Better Way to Budget" provides practical, innovative advice on how to overcome the political and social pushback that often prevents district and school leaders from shifting scarce resources to the most student-centered uses. Nathan Levenson shows how school leaders can uncover the sources of potential conflicts and create a…

  11. Creating and Implementing Diverse Development Strategies to Support Extension Centers and Programs

    Science.gov (United States)

    Page, Christopher S.; Kern, Michael A.

    2018-01-01

    Declining government funding for higher education requires colleges and universities to seek alternative revenue streams, including through philanthropic fund-raising. Extension-based subject matter centers and other programs can benefit from the thoughtful supplementation of traditional revenue sources with individual, corporate, and private…

  12. Person-Centered Therapy: A Philosophy to Support Early Childhood Education

    Science.gov (United States)

    Boyer, Wanda

    2016-01-01

    Person-centered therapy (PCT) comes from the experiential and relationship-oriented therapy tradition. It is considered to be a third force in therapeutic engagement, along with the psychoanalytic and behavioral approaches. PCT is based on faith in and empowerment of human beings to be joyful, creative, self-fulfilled and willing and able to…

  13. 21st Century Community Learning Centers: Providing Afterschool and Summer Learning Support to Communities Nationwide

    Science.gov (United States)

    Afterschool Alliance, 2014

    2014-01-01

    The 21st Century Community Learning Centers (21st CCLC) initiative is the only federal funding source dedicated exclusively to before-school, afterschool, and summer learning programs. Each state education agency receives funds based on its share of Title I funding for low-income students at high-poverty, low performing schools. Funds are also…

  14. A novel adaptive kernel method with kernel centers determined by a support vector regression approach

    NARCIS (Netherlands)

    Sun, L.G.; De Visser, C.C.; Chu, Q.P.; Mulder, J.A.

    2012-01-01

    The optimality of the kernel number and kernel centers plays a significant role in determining the approximation power of nearly all kernel methods. However, the process of choosing optimal kernels is always formulated as a global optimization task, which is hard to accomplish. Recently, an

  15. Student-Centered Educational Reform: The Impact of Parental and Educator Support of Student Diligence.

    Science.gov (United States)

    Bernard, Hinsdale; And Others

    1996-01-01

    Diligence is a significant, meaningful predictor of student competence. This study examines the level of diligence displayed by students from two selected northeastern Ohio school districts and relates student diligence to the level of support provided by parents and educators. There was no distinction in support levels provided by mothers and…

  16. Research and Development Strategies for Human Centered and Group Support Technologies

    Science.gov (United States)

    1992-05-01

    13 Detma W. Straub, Jr. and Renee Beauclair , "A New Dimension to Decision Support: Organizational Planning Made Easy with GDSS," Data Management...and Exposition, Washington, DC, June 1991. Straub, Detmar W., Jr., and Renee Beauclair , "A New Dimension to Decision Support: Organizational Planning

  17. Exploring an Agenda of Accommodation and Support at a Disabilities Service Center for College Students with Psychiatric Disabilities

    OpenAIRE

    松田, 康子

    2016-01-01

    How useful are disability services in the current higher education for college students with psychiatric disabilities? The purpose of this research paper is to answer this question by exploring an agenda of accommodation and support at a disabilities service center for college students with psychiatric disabilities. Two studies were conducted using questionnaires to collect data from students (study 1) and staffs (teaching and clerical staff) (study 2) in higher education. The ...

  18. The crustal dynamics intelligent user interface anthology

    Science.gov (United States)

    Short, Nicholas M., Jr.; Campbell, William J.; Roelofs, Larry H.; Wattawa, Scott L.

    1987-01-01

    The National Space Science Data Center (NSSDC) has initiated an Intelligent Data Management (IDM) research effort which has, as one of its components, the development of an Intelligent User Interface (IUI). The intent of the IUI is to develop a friendly and intelligent user interface service based on expert systems and natural language processing technologies. The purpose of such a service is to support the large number of potential scientific and engineering users that have need of space and land-related research and technical data, but have little or no experience in query languages or understanding of the information content or architecture of the databases of interest. This document presents the design concepts, development approach and evaluation of the performance of a prototype IUI system for the Crustal Dynamics Project Database, which was developed using a microcomputer-based expert system tool (M. 1), the natural language query processor THEMIS, and the graphics software system GSS. The IUI design is based on a multiple view representation of a database from both the user and database perspective, with intelligent processes to translate between the views.

  19. Close ISR Support: Re-organizing the Combined Forces Air Component Commander’s Intelligence, Surveillance and Reconnaissance Processes and Agencies

    Science.gov (United States)

    2009-12-01

    Intelligence IO–Information Operations IOT –In Order To IP–Iraqi Police IPB–Intelligence Preparation of the Battlespace IR–infrared xxiii IROC... forensic backtracking highlighted potential cache sites or improvised explosive device (IED) emplacement areas which could then be better analyzed by the...target indicator (GMTI) forensic backtracking to link suspicious GMTI movements with other intelligence signatures.388 As will be discussed in

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

    International Nuclear Information System (INIS)

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

    2006-01-01

    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. NASA's engineering research centers and interdisciplinary education

    Science.gov (United States)

    Johnston, Gordon I.

    1990-01-01

    A new program of interactive education between NASA and the academic community aims to improve research and education, provide long-term, stable funding, and support cross-disciplinary and multi-disciplinary research. The mission of NASA's Office of Aeronautics, Exploration and Technology (OAET) is discussed and it is pointed out that the OAET conducts about 10 percent of its total R&D program at U.S. universities. Other NASA university-based programs are listed including the Office of Commercial Programs Centers for the Commercial Development of Space (CCDS) and the National Space Grant program. The importance of university space engineering centers and the selection of the nine current centers are discussed. A detailed composite description is provided of the University Space Engineering Research Centers. Other specialized centers are described such as the Center for Space Construction, the Mars Mission Research Center, and the Center for Intelligent Robotic Systems for Space Exploration. Approaches to educational outreach are discussed.

  2. Ford/BASF/UM Activities in Support of the Hydrogen Storage Engineering Center of Excellence

    Energy Technology Data Exchange (ETDEWEB)

    Veenstra, Mike [Ford Motor Company, Dearborn, MI (United States); Purewal, Justin [Ford Motor Company, Dearborn, MI (United States); Xu, Chunchuan [Ford Motor Company, Dearborn, MI (United States); Yang, Jun [Ford Motor Company, Dearborn, MI (United States); Blaser, Rachel [Ford Motor Company, Dearborn, MI (United States); Sudik, Andrea [Ford Motor Company, Dearborn, MI (United States); Siegel, Don [Univ. of Michigan, Ann Arbor, MI (United States); Ming, Yang [Univ. of Michigan, Ann Arbor, MI (United States); Liu, Dong' an [Univ. of Michigan, Ann Arbor, MI (United States); Chi, Hang [Univ. of Michigan, Ann Arbor, MI (United States); Gaab, Manuela [BASF SE, Ludwigshafen (Germany); Arnold, Lena [BASF SE, Ludwigshafen (Germany); Muller, Ulrich [BASF SE, Ludwigshafen (Germany)

    2015-06-30

    Widespread adoption of hydrogen as a vehicular fuel depends critically on the development of low-cost, on-board hydrogen storage technologies capable of achieving high energy densities and fast kinetics for hydrogen uptake and release. As present-day technologies -- which rely on physical storage methods such as compressed hydrogen -- are incapable of attaining established Department of Energy (DOE) targets, development of materials-based approaches for storing hydrogen have garnered increasing attention. Material-based storage technologies have potential to store hydrogen beyond twice the density of liquid hydrogen. To hasten development of these ‘hydride’ materials, the DOE previously established three centers of excellence for materials storage R&D associated with the key classes of materials: metal hydrides, chemical hydrogen, and adsorbents. While these centers made progress in identifying new storage materials, the challenges associated with the engineering of the system around a candidate storage material are in need of further advancement. In 2009 the DOE established the Hydrogen Storage Engineering Center of Excellence with the objective of developing innovative engineering concepts for materials-based hydrogen storage systems. As a partner in the Hydrogen Storage Engineering Center of Excellence, the Ford-UM-BASF team conducted a multi-faceted research program that addresses key engineering challenges associated with the development of materials-based hydrogen storage systems. First, we developed a novel framework that allowed for a material-based hydrogen storage system to be modeled and operated within a virtual fuel cell vehicle. This effort resulted in the ability to assess dynamic operating parameters and interactions between the storage system and fuel cell power plant, including the evaluation of performance throughout various drive cycles. Second, we engaged in cost modeling of various incarnations of the storage systems. This analysis

  3. Social support and suicide in Japanese men and women - the Japan Public Health Center (JPHC)-based prospective study.

    Science.gov (United States)

    Poudel-Tandukar, Kalpana; Nanri, Akiko; Mizoue, Tetsuya; Matsushita, Yumi; Takahashi, Yoshihiko; Noda, Mitsuhiko; Inoue, Manami; Tsugane, Shoichiro

    2011-12-01

    Although the important role of social support in mental health is acknowledged, no prospective study has yet examined the relation of social support to suicide. Here, we investigated the association between social support and suicide in a cohort of Japanese men and women. A total of 26,672 men and 29,865 women aged 40-69 years enrolled in the Japan Public Health Center-based prospective study in 1993-1994 completed a self-administered questionnaire which included four items of social support, and were followed for death through December 2005. Hazard ratios (HRs) and 95% confidence intervals (95% CI) of suicidal death by social support index were estimated using a Cox proportional hazards regression model. A total of 180 suicidal deaths were recorded during an average of 12 years' follow-up. Men and women with the highest level of social support had a significantly decreased risk of suicide, with HRs (95% CI) for the highest versus lowest social support group of 0.56 (0.33-0.94) and 0.38 (0.16-0.89) in men and women, respectively. Esteem support and having four or more friends were associated with a lower risk of suicide in women [0.32 (0.13-0.77)] and in both sexes [men: 0.56 (0.36-0.88); women: 0.65 (0.32-1.30)], respectively, whereas confident support was not. These findings suggest that social support may be important for suicide prevention. Avoiding social isolation may decrease the incidence of suicide in men and women, and esteem support can provide additional benefit for women. Copyright © 2011 Elsevier Ltd. All rights reserved.

  4. THE CHANGING LANDSCAPE OF COMPETITIVE INTELLIGENCE: TWO CRITICAL ISSUES INVESTIGATED

    OpenAIRE

    John J. McGonagle; Michael Misner-Elias

    2016-01-01

    Competitive intelligence is evolving. Why? It is the evolving needs of businesses and not the method or technology supporting the gathering and analysis of information that force this continuing evolution. Two changes in competitive intelligence are investigated in this paper: 1) the failure of the competitive intelligence system because of reliance on an outdated understanding of the intelligence cycle and the associated concepts of key intelligence topics (KITs) and key intelligence questio...

  5. Artificial intelligence executive summary

    International Nuclear Information System (INIS)

    Wamsley, S.J.; Purvis, E.E. III

    1984-01-01

    Artificial intelligence (AI) is a high technology field that can be used to provide problem solving diagnosis, guidance and for support resolution of problems. It is not a stand alone discipline, but can also be applied to develop data bases for retention of the expertise that is required for its own knowledge base. This provides a way to retain knowledge that otherwise may be lost. Artificial Intelligence Methodology can provide an automated construction management decision support system, thereby restoring the manager's emphasis to project management

  6. On the proposal of an intelligent support system with a cognitive architecture based on contextual modules for the operators of nuclear power plants

    International Nuclear Information System (INIS)

    Soares, Herculano Vieira; Alvarenga, Marco Antonio Bayout; Schirru, Roberto

    2007-01-01

    The operators' actions in a control room of a nuclear power plant are controlled by production rules in the emergency procedures of the operation manual. For each accident, there is a specific group of safety tasks composed of a set of specified actions. In this work we propose an intelligent support system based on a cognitive architecture composed of contextual modules, instead of functional modules. This approach consists on the determination of a task space, where we can define subspaces. In the subspaces where the set of values of the parameters is familiar, at least one of the rules in the procedural memory has its conditions completely satisfied. In this context, the proposed support system will be guided by an expert system, with a procedural memory composed of IF - THEN rules, that contains the input conditions with strict values of the parameters in the IF part, and a corresponding safety task in the THEN part. When the operator is in a situation in which the set of values of those variables falls in a non-familiar context, none of the rules in the procedural memory will have its conditions completely satisfied. In this context, it will be, then, utilized the connectionist part of the architecture, a fuzzy neural network (with radial activation functions), to classify the set of parameters and to choose a set of safety tasks applicable to the situation. The fuzzy logic provides an inference mechanism under uncertainty, while the neural network offers advantages of learning, adaptation, failure tolerance, parallelism and generalization. (author)

  7. Intelligent support system online for the operation of fossil fuel units; Sistema inteligente de ayuda en linea para la operacion de unidades termoelectricas

    Energy Technology Data Exchange (ETDEWEB)

    Quintero R, Agustin; Suarez C, Dionisio A; Sanchez L, Jose Alfredo [Instituto de Investigaciones Electricas, Cuernavaca, Morelos (Mexico)

    2006-07-01

    The purpose of this publication is to present a support system online for the operation (SAO) of fossil fuel units, having as objective to support the operator of fossil fuel units when handling guidelines and essential information to carry out the starting and shutdown in a safe and efficient way, reducing the consumption of the useful life of the steam generator and the turbine, as well as the operational cost. Here are presented the intelligent systems for the support of the operation and are described the main characteristics in the dominion of application for the support system, its architecture and functionality, as well as the results obtained in the system assessment performed with the aid of total reach simulator of a fossil fuel unit and a pilot unit. [Spanish] Es motivo de esta publicacion, la presentacion de un sistema de ayuda en linea para la operacion (SAO) de unidades termoelectricas que tiene como objetivo asistir al operador de una unidad termoelectrica con guias de manejo e informacion esencial para llevar a cabo el arranque o paro en forma segura y eficiente, reducir el consumo de vida util del generador de vapor y la turbina, asi como el costo de operacion. Aqui se presentan los sistemas inteligentes de ayuda a la operacion y se describen las caracteristicas principales del dominio de aplicacion para el sistema de ayuda, su arquitectura y funcionalidad, asi como los resultados obtenidos de la evaluacion del sistema realizada con la ayuda de un simulador de alcance total de una unidad termoelectrica y una unidad piloto.

  8. Role of Theories in the Design of Web-Based Person-Centered Support: A Critical Analysis

    Directory of Open Access Journals (Sweden)

    Agneta Ranerup

    2014-01-01

    Full Text Available Objective. The aim of this study was to provide a critical understanding of the role of theories and their compatibility with a person-centered approach in the design and evaluation of web-based support for the management of chronic illness. Methods. Exploration of web-based support research projects focusing on four cases: (1 preschool children aged 4–6 with bladder dysfunction and urogenital malformation; (2 young adults aged 16–25 living with mental illness; (3 women with type 1 diabetes who are pregnant or in early motherhood; and (4 women who have undergone surgery for breast cancer. Data comprised interviews with research leaders and documented plans. Analysis was performed by means of a cross-case methodology. Results. The used theories concerned design, learning, health and well-being, or transition. All web support products had been developed using a participatory design (PD. Fundamental to the technology design and evaluation of outcomes were theories focusing on learning and on health and well-being. All theories were compatible with a person-centered approach. However, a notable exception was the relatively collective character of PD and Communities of Practice. Conclusion. Our results illustrate multifaceted ways for theories to be used in the design and evaluation of web-based support.

  9. THE ONCE AND FUTURE AIR SUPPORT OPERATIONS CENTER: A CRITICAL REFLECTION ON DEVELOPMENTS IN AIR-TO-GROUND COMMAND AND CONTROL

    Science.gov (United States)

    2017-02-01

    levels. A cost-benefit analysis is necessary to determine whether realignment is economically viable, even if it remains the best decision for joint...Typically one manages inbound aircraft and the other manages outbound aircraft and takes inflight reports. • The Intelligence Duty Officer...will typically want more air support than 30 what they get (or is available). Because of this, the ASOC job might be analyzed as an economics

  10. Z-2 Suit Support Stand and MKIII Suit Center of Gravity Test

    Science.gov (United States)

    Nguyen, Tuan Q.

    2014-01-01

    NASA's next generation spacesuits are the Z-Series suits, made for a range of possible exploration missions in the near future. The prototype Z-1 suit has been developed and assembled to incorporate new technologies that has never been utilized before in the Apollo suits and the Extravehicular Mobility Unit (EMU). NASA engineers tested the Z-1 suit extensively in order to developed design requirements for the new Z-2 suit. At the end of 2014, NASA will be receiving the new Z-2 suit to perform more testing and to further develop the new technologies of the suit. In order to do so, a suit support stand will be designed and fabricated to support the Z-2 suit during maintenance, sizing, and structural leakage testing. The Z-2 Suit Support Stand (Z2SSS) will be utilized for these purposes in the early testing stages of the Z-2 suit.

  11. GABA predicts visual intelligence.

    Science.gov (United States)

    Cook, Emily; Hammett, Stephen T; Larsson, Jonas

    2016-10-06

    Early psychological researchers proposed a link between intelligence and low-level perceptual performance. It was recently suggested that this link is driven by individual variations in the ability to suppress irrelevant information, evidenced by the observation of strong correlations between perceptual surround suppression and cognitive performance. However, the neural mechanisms underlying such a link remain unclear. A candidate mechanism is neural inhibition by gamma-aminobutyric acid (GABA), but direct experimental support for GABA-mediated inhibition underlying suppression is inconsistent. Here we report evidence consistent with a global suppressive mechanism involving GABA underlying the link between sensory performance and intelligence. We measured visual cortical GABA concentration, visuo-spatial intelligence and visual surround suppression in a group of healthy adults. Levels of GABA were strongly predictive of both intelligence and surround suppression, with higher levels of intelligence associated with higher levels of GABA and stronger surround suppression. These results indicate that GABA-mediated neural inhibition may be a key factor determining cognitive performance and suggests a physiological mechanism linking surround suppression and intelligence. Copyright © 2016 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

  12. U.S. Army Engineering and Support Center, Huntsville, Price Reasonableness Determinations for Federal Supply Schedule Orders for Supplies Need Improvement

    Science.gov (United States)

    2016-03-29

    Army Engineering and Support Center, Huntsville, Price Reasonableness Determinations for Federal Supply Schedule Orders for Supplies Need...0207.000) │ i Results in Brief U.S. Army Engineering and Support Center, Huntsville, Price Reasonableness Determinations for Federal Supply Schedule...officers made determinations of fair and reasonable pricing for General Services Administration Federal supply schedule orders awarded for purchases

  13. Artificial Intelligence.

    Science.gov (United States)

    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)

  14. Intelligent Design

    DEFF Research Database (Denmark)

    Hjorth, Poul G.

    2005-01-01

    Forestillingen om at naturen er designet af en guddommelig 'intelligens' er et smukt filosofisk princip. Teorier om Intelligent Design som en naturvidenskabeligt baseret teori er derimod helt forfærdelig.......Forestillingen om at naturen er designet af en guddommelig 'intelligens' er et smukt filosofisk princip. Teorier om Intelligent Design som en naturvidenskabeligt baseret teori er derimod helt forfærdelig....

  15. Teleradiology support for maternal and newborn health in II level perinatal centers

    International Nuclear Information System (INIS)

    Stratulat, P.; Gamurari, Inesa; Caraus, Tatiana; Curteanu, Ala

    2013-01-01

    Telemedicine can be defined as the use of electronic signals to transfer medical information from one system to another. The emergence and development of teleradiology occurred due to the needs of optimal allocation of resources. The effectiveness of medical care is being increasing simply by the fact that an expert radiologist or other specialist can view patient images from his working place without losing his precious time for traveling. Teleradiology solution offers a range of advantages: reducing the presence of specialists on call, rapid obtaining of second opinions, medical centers interconnection etc.In our study we will focus on the teleradiology activity. A prospective study of consulted cases was conducted via teleradiology; there were applied two basic methods of transmitting information. In 01.01.2012 to 31.12.2012 there were totally examined 393 children and consulted 430 radiological images, of them - through Skype - 102 children and 199 images via iPath platform. Successful implementation of teleradiology within telemedicine has improved the quality of diagnosis in cases treated in the pilot centers. (authors)

  16. Intelligence Campaign Planning: An Opportunity for the Army in Defense Intelligence Synchronization

    National Research Council Canada - National Science Library

    McAninch, Kevin A

    2007-01-01

    ...) Intelligence Community (IC) implementation and execution of Intelligence Campaign Planning (ICP). ICP is emerging as a new procedure for the DoD IC to centrally plan ISR Synchronization in support of regional combatant commander operation plans...

  17. “Semantics Inside!” But let’s not tell the Data Miners: Intelligent Support for Data Mining

    OpenAIRE

    Kietz, Jörg-Uwe; Serban, Floarea; Fischer, Simon; Bernstein, Abraham

    2014-01-01

    Knowledge Discovery in Databases (KDD) has evolved sig- nificantly over the past years and reached a mature stage offering plenty of operators to solve complex data analysis tasks. User support for build- ing data analysis workflows, however, has not progressed sufficiently: the large number of operators currently available in KDD systems and in- teractions between these operators complicates successful data analysis. To help Data Miners we enhanced one of the most used open source data minin...

  18. Business Intelligence Solutions for Gaining Competitive Advantage

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available Business Intelligence is the process for increasing the competitive advantage of a company by intelligent use of available data in decision-making. Only a revolutionary Business Intelligence solution, like the proposed portal-based, can solve the complex issues faced when evaluating decision support applications and ensures the availability of any business-critical information.

  19. A clinical decision support system for integrating tuberculosis and HIV care in Kenya: a human-centered design approach.

    Science.gov (United States)

    Catalani, Caricia; Green, Eric; Owiti, Philip; Keny, Aggrey; Diero, Lameck; Yeung, Ada; Israelski, Dennis; Biondich, Paul

    2014-01-01

    With the aim of integrating HIV and tuberculosis care in rural Kenya, a team of researchers, clinicians, and technologists used the human-centered design approach to facilitate design, development, and deployment processes of new patient-specific TB clinical decision support system for medical providers. In Kenya, approximately 1.6 million people are living with HIV and have a 20-times higher risk of dying of tuberculosis. Although tuberculosis prevention and treatment medication is widely available, proven to save lives, and prioritized by the World Health Organization, ensuring that it reaches the most vulnerable communities remains challenging. Human-centered design, used in the fields of industrial design and information technology for decades, is an approach to improving the effectiveness and impact of innovations that has been scarcely used in the health field. Using this approach, our team followed a 3-step process, involving mixed methods assessment to (1) understand the situation through the collection and analysis of site observation sessions and key informant interviews; (2) develop a new clinical decision support system through iterative prototyping, end-user engagement, and usability testing; and, (3) implement and evaluate the system across 24 clinics in rural West Kenya. Through the application of this approach, we found that human-centered design facilitated the process of digital innovation in a complex and resource-constrained context.

  20. A clinical decision support system for integrating tuberculosis and HIV care in Kenya: a human-centered design approach.

    Directory of Open Access Journals (Sweden)

    Caricia Catalani

    Full Text Available With the aim of integrating HIV and tuberculosis care in rural Kenya, a team of researchers, clinicians, and technologists used the human-centered design approach to facilitate design, development, and deployment processes of new patient-specific TB clinical decision support system for medical providers. In Kenya, approximately 1.6 million people are living with HIV and have a 20-times higher risk of dying of tuberculosis. Although tuberculosis prevention and treatment medication is widely available, proven to save lives, and prioritized by the World Health Organization, ensuring that it reaches the most vulnerable communities remains challenging. Human-centered design, used in the fields of industrial design and information technology for decades, is an approach to improving the effectiveness and impact of innovations that has been scarcely used in the health field. Using this approach, our team followed a 3-step process, involving mixed methods assessment to (1 understand the situation through the collection and analysis of site observation sessions and key informant interviews; (2 develop a new clinical decision support system through iterative prototyping, end-user engagement, and usability testing; and, (3 implement and evaluate the system across 24 clinics in rural West Kenya. Through the application of this approach, we found that human-centered design facilitated the process of digital innovation in a complex and resource-constrained context.

  1. University Counseling Centers' Perceptions and Experiences Pertaining to Emotional Support Animals

    Science.gov (United States)

    Kogan, Lori R.; Schaefer, Karen; Erdman, Phyllis; Schoenfeld-Tacher, Regina

    2016-01-01

    Increasing numbers of students are requesting accommodations for emotional support animals (ESAs) in higher education settings. Since the legislation pertaining to this type of service animal differs from the laws governing disability service animals, colleges and universities are faced with developing new policies and guidelines. A sample of 248…

  2. Climate Change Adaptation Support for Transportation Practitioners: 2013 Volpe Center Innovation Challenge Project.

    Science.gov (United States)

    2015-09-30

    The nature of the U.S. transportation system requires that actions to adapt to climate change impacts occur primarily at the State and local levels. Federal agencies support State, regional, and local agencies and they work hard to provide frameworks...

  3. Effects of supported metallocene catalyst active center multiplicity on antioxidant-stabilized ethylene homo- and copolymers

    KAUST Repository

    Atiqullah, Muhammad; Cibulková , Zuzana; Černá , Andrea; Šimon, Peter; Hussain, Ikram; Al-Harthi, Mamdouh A.; Anantawaraskul, Siripon

    2014-01-01

    © 2014 Akadémiai Kiadó, Budapest, Hungary. A silica-supported bis(n-butylcyclopentadienyl) zirconium dichloride [( n BuCp)2ZrCl2] catalyst was synthesized. This was used to prepare an ethylene homopolymer and an ethylene-1-hexene copolymer

  4. 20 CFR 670.525 - What residential support services must Job Corps center operators provide?

    Science.gov (United States)

    2010-04-01

    ..., vending machines, disciplinary fines, and donations, and is run by an elected student government, with the... the Secretary: (a) A quality living and learning environment that supports the overall training... week, 24 hours a day; (b) An ongoing, structured counseling program for students; (c) Food service...

  5. Multidisciplinary Collaboration to Support Struggling Readers: Centering Culture in Concerns about Process and Outcomes

    Science.gov (United States)

    King Thorius, Kathleen A.; Simon, Marsha

    2014-01-01

    Our commentary responds to the five articles of the special issue on multidisciplinary collaboration to support struggling readers. From our perspectives informed by experiences working with diverse student and family populations in urban settings, preparing pre- and in-service educators and specialists to do the same, and working in federally…

  6. Guidelines for Leveraging University Didactics Centers to Support OER Uptake in German-Speaking Europe

    Science.gov (United States)

    Ebner, M.; Schön, S.; Kumar, S.

    2016-01-01

    Although less well established than in other parts of the world, higher education institutions in German-speaking countries have seen a marked increase in the number of open educational resource (OER) initiatives and in government-supported OER funding in recent years. OER implementation, however, brings with it a unique set of challenges in…

  7. Advocating for More Student-Centered Physical Education: The Case for Need-Supportive Instruction

    Science.gov (United States)

    Washburn, Nicholas; Richards, K. Andrew R.; Sinelnikov, Oleg

    2016-01-01

    The purpose of this article is to introduce the concept of need-supportive instruction as a practical means through which PE teachers can satisfy their students' psychological needs, leading to more self-determined student motivation in class and, ultimately, tangible benefits outside of school.

  8. Mother Behavior Prefer Untrained Traditional Birth Attendant As Labor Support Person At Tembilahan Hulu Public Health Center Districts On 2016

    Directory of Open Access Journals (Sweden)

    alhidayati yati

    2018-03-01

    Full Text Available Background: Maternal Mortality Rate (MMR is one indicator of health development in Indonesia. Deliveries by health personnel to be very important in efforts to reduce maternal mortality. Coverage of births attended by skilled health personnel at health centers Tembilahan Hulu has yet to reach the target of 90%. Target Health Center Tembilahan Hulu is 80% but reached only 45%. The number of maternal deaths in health centers Hulu 2016 Tembilahan 1 case and the number of infant mortality as much as 5 case, one cause of death is handled by TBAs. Objective: to know the mother's behavior in selecting birth attendants in health centers working area Tembilahan Hulu. Design: Qualitative research, to obtain in-depth information about how the Mother Behavior in Choosing Auxiliary Power Delivery at Puskesmas Tembilahan Hulu 2016. Methods: This study used a qualitative descriptive method, which is an approach to research that revealed certain social situations to describe reality correctly, formed by words based on the techniques of collecting and analyzing relevant data obtained from the natural situation. Results and Discussion: Research shows that mothers choose birth attendants decision is closely linked to the knowledge, attitudes, social culture, access to health services, family support. Conclusions: The behavior of mothers in selecting birth attendant is still a lot to TBAs compared to the health worker / midwife.

  9. Smart and Intelligent Sensors

    Science.gov (United States)

    Lansaw, John; Schmalzel, John; Figueroa, Jorge

    2009-01-01

    John C. Stennis Space Center (SSC) provides rocket engine propulsion testing for NASA's space programs. Since the development of the Space Shuttle, every Space Shuttle Main Engine (SSME) has undergone acceptance testing at SSC before going to Kennedy Space Center (KSC) for integration into the Space Shuttle. The SSME is a large cryogenic rocket engine that uses Liquid Hydrogen (LH2) as the fuel. As NASA moves to the new ARES V launch system, the main engines on the new vehicle, as well as the upper stage engine, are currently base lined to be cryogenic rocket engines that will also use LH2. The main rocket engines for the ARES V will be larger than the SSME, while the upper stage engine will be approximately half that size. As a result, significant quantities of hydrogen will be required during the development, testing, and operation of these rocket engines.Better approaches are needed to simplify sensor integration and help reduce life-cycle costs. 1.Smarter sensors. Sensor integration should be a matter of "plug-and-play" making sensors easier to add to a system. Sensors that implement new standards can help address this problem; for example, IEEE STD 1451.4 defines transducer electronic data sheet (TEDS) templates for commonly used sensors such as bridge elements and thermocouples. When a 1451.4 compliant smart sensor is connected to a system that can read the TEDS memory, all information needed to configure the data acquisition system can be uploaded. This reduces the amount of labor required and helps minimize configuration errors. 2.Intelligent sensors. Data received from a sensor be scaled, linearized; and converted to engineering units. Methods to reduce sensor processing overhead at the application node are needed. Smart sensors using low-cost microprocessors with integral data acquisition and communication support offer the means to add these capabilities. Once a processor is embedded, other features can be added; for example, intelligent sensors can make

  10. Intelligence Architecture, Echelons Corps and Below (ECB): Some Near Term Alternatives

    Science.gov (United States)

    1991-04-05

    intelligence missions. - Failure to have an annual "MI Table VIII" type evaluation system keeps MI units in the business of supporting other Table...Division) CAC: Combined Arms Center (Ft Leavenworth) CEWI: Combat Electronic Warfare Inteligence C&GSC: Command and General Staff College CI

  11. The internal design phase of the breeding and multigeneration support system: A tracking and decision support system for NCTR (National Center for Toxicological Research)

    Energy Technology Data Exchange (ETDEWEB)

    Strand, R.; Cox, T.L.; Sjoreen, A.; Alvic, D.

    1989-06-01

    The National Center for Toxicological Research (NCTR) is the basic research arm of the US Food and Drug Administration (FDA). The NCTR has upgraded and standardized its computer operations on Digital Equipment Corporation VAX minicomputers using Software AG's ADABAS data base management system for all research applications. The NCTR is currently performing a large study to improve the functionality of the animal husbandry systems and applications called Breeding/Multigeneration Support System (BMSS). When functional, it will operate on VAX equipment using the ADABAS data base management system, TDMS, and COBOL. Oak Ridge National Laboratory (ORNL) is supporting NCTR in the design, prototyping, and software engineering of the BMSS. This document summarizes the internal design elements that include data structures, file structures, and system attributes that were required to facilitate the decision support requirements defined in the external design work. Prototype pseudocode then was developed for the recommended system attributes and file and data structures. Finally, ORNL described the processing requirements including the initial access of the BMSS, integration of the existing INLIFE system and the STUDY DEFINITION system under development, data system initialization and maintenance, and BMSS testing and verification. This document describes ORNL's recommendations for the internal design of the BMSS. ORNL will provide research support to NCTR in the additional phases of systems life cycle development for BMSS. ORNL has prepared this document according to NCTR's Standard Operating Procedures for Systems Development. 6 figs., 5 tabs.

  12. Support to the Air Force Installation and Mission Support Center: Enabling AFIMSC’s Role in Agile Combat Support Planning, Execution, Monitoring, and Control

    Science.gov (United States)

    2017-06-23

    development, test, and evaluation; and supply chain management —and also quality-of-life support to military members, their families, retirees, and so on...AFIMSC and Air Education and Training Command Director of Logistics (AETC/A4) at a time when AFIMSC was being established to focus on managing the...operations of new ACS global management organizations.3 1 Program Action Directive (PAD) 14-04, Implementation of the Air Force Installation and

  13. FGPA Mission Assurance Center (FMAC) Support Activity at the University of New Mexico

    Science.gov (United States)

    2013-10-31

    supports other popular programming languages such as C, Objective-C, C#, PHP, Java , Python, IDL (Corba, Microsoft, and UNO/OpenOffice flavors), Fortran...analyzed here are: - Group 1: Antennas using switches - Group 2: Antennas using capacitors or varactors - Group 3: Antennas using physical angular ...for group 1 with multiple metallic parts. Constraints: The connection between each two parts has a distinctive angular direction. The designer defines

  14. Neuro-Oncology Branch patient emotional support services | Center for Cancer Research

    Science.gov (United States)

    Emotional Support Services The diagnosis of a brain tumor elicits many different and sometimes difficult emotions, not only for the patient, but also for their family members. Patients may encounter changes in cognitive functioning and language, a diminished ability to focus or make decisions, or short-term memory loss, all of which can greatly affect their personal and professional lives. We are dedicated to helping patients and their families deal with the physical and emotional facets of this disease.

  15. Approach to cost-benefit analysis between supported employment and special employment centers through comparative simulation with 24 workers

    Directory of Open Access Journals (Sweden)

    Francisco de Borja Jordán de Urríes Vega

    2014-06-01

    Full Text Available This work presents a cost-benefit analysis comparing supported employment (SE with special employment center (EEC, from an individual, corporate and society perspective. A simulation was carried out with a sample of 24 workers in regular employment by SE and hypothetical data were obtained for the same workers as if they were in a similar job in EEC. The results show that SE workers, working the same amount of hours, have higher hourly earnings than in EEC (9.22 € compared to 4.59 €. The SE also generates less social burden from the company (22.21 % than EEC (85.54 %. The Supported Employment’s payoff for society is much higher (315.03% than that of the EEC (83.14%. Therefore, the conclusions of the study are directed towards the consideration that supported employment is more beneficial in terms of cost benefit for the individual, business and society when compared to the special employment centers.

  16. Predicting Complexation Thermodynamic Parameters of β-Cyclodextrin with Chiral Guests by Using Swarm Intelligence and Support Vector Machines

    Directory of Open Access Journals (Sweden)

    Luckhana Lawtrakul

    2009-05-01

    Full Text Available The Particle Swarm Optimization (PSO and Support Vector Machines (SVMs approaches are used for predicting the thermodynamic parameters for the 1:1 inclusion complexation of chiral guests with β-cyclodextrin. A PSO is adopted for descriptor selection in the quantitative structure-property relationships (QSPR of a dataset of 74 chiral guests due to its simplicity, speed, and consistency. The modified PSO is then combined with SVMs for its good approximating properties, to generate a QSPR model with the selected features. Linear, polynomial, and Gaussian radial basis functions are used as kernels in SVMs. All models have demonstrated an impressive performance with R2 higher than 0.8.

  17. Configuration Management (CM) Support for KM Processes at NASA/Johnson Space Center (JSC)

    Science.gov (United States)

    Cioletti, Louis

    2010-01-01

    Collection and processing of information are critical aspects of every business activity from raw data to information to an executable decision. Configuration Management (CM) supports KM practices through its automated business practices and its integrated operations within the organization. This presentation delivers an overview of JSC/Space Life Sciences Directorate (SLSD) and its methods to encourage innovation through collaboration and participation. Specifically, this presentation will illustrate how SLSD CM creates an embedded KM activity with an established IT platform to control and update baselines, requirements, documents, schedules, budgets, while tracking changes essentially managing critical knowledge elements.

  18. A Conceptual Framework for Occupant-Centered Building Management Decision Support System

    DEFF Research Database (Denmark)

    Lazarova-Molnar, Sanja; Shaker, Hamid Reza

    2016-01-01

    -obvious/-direct incentive to reduce energy use and no access to their levels of consumption. In this paper we present a framework for a building energy management decision support system that is motivated by these findings, and therefore, centres the occupants and motivates them to both achieve business-wise and improve......Buildings’ energy consumption makes the largest portion of the overall energy consumption. Commercial buildings are specific and their energy efficiency should not be viewed as a standalone issue. On the contrary, it needs to be viewed in function of the goals of the hosted businesses...

  19. Recent Efforts in Advanced High Frequency Communications at the Glenn Research Center in Support of NASA Mission

    Science.gov (United States)

    Miranda, Felix A.

    2015-01-01

    This presentation will discuss research and technology development work at the NASA Glenn Research Center in advanced frequency communications in support of NASAs mission. An overview of the work conducted in-house and also in collaboration with academia, industry, and other government agencies (OGA) in areas such as antenna technology, power amplifiers, radio frequency (RF) wave propagation through Earths atmosphere, ultra-sensitive receivers, among others, will be presented. In addition, the role of these and other related RF technologies in enabling the NASA next generation space communications architecture will be also discussed.

  20. Nevada Applied Ecology Information Center: a review of technical information support provided to the Nevada Applied Ecology Group

    International Nuclear Information System (INIS)

    Fore, C.S.; Pfuderer, H.A.

    1983-01-01

    The Nevada Applied Ecology Information Center (NAEIC) was established in January 1972 to serve the needs of the Nevada Applied Ecology Group (NAEG) by identifying, collecting, analyzing, and disseminating technical information relevant to NAEG programs. Since its inception, the NAEIC has been active in providing specialized information support to NAEG staff in the following research areas: (1) environmental aspects of the transuranics; (2) historic literature (pre-1962) on plutonium and uranium; (3) cleanup and treatment of radioactively contaminated land; (4) bioenvironmental aspects of europium and rhodium; (5) NAEG contractor reports; and (6) uptake of radioactivity by food crops

  1. CO2 Data Distribution and Support from the Goddard Earth Science Data and Information Services Center (GES-DISC)

    Science.gov (United States)

    Hearty, Thomas; Savtchenko, Andrey; Vollmer, Bruce; Albayrak, Arif; Theobald, Mike; Esfandiari, Ed; Wei, Jennifer

    2015-01-01

    This talk will describe the support and distribution of CO2 data products from OCO-2, AIRS, and ACOS, that are archived and distributed from the Goddard Earth Sciences Data and Information Services Center. We will provide a brief summary of the current online archive and distribution metrics for the OCO-2 Level 1 products and plans for the Level 2 products. We will also describe collaborative data sets and services (e.g., matchups with other sensors) and solicit feedback for potential future services.

  2. Physical activity counseling intervention at a federally qualified health center: improves autonomy-supportiveness, but not patients' perceived competence.

    Science.gov (United States)

    Carroll, Jennifer K; Fiscella, Kevin; Epstein, Ronald M; Sanders, Mechelle R; Winters, Paul C; Moorhead, S Anne; van Osch, Liesbeth; Williams, Geoffrey C

    2013-09-01

    To assess the effect of a pilot intervention to promote clinician-patient communication about physical activity on patient ratings of their perceived competence for physical activity and their clinicians' autonomy-supportiveness. Family medicine clinicians (n=13) at two urban community health centers were randomized to early or delayed (8 months later) communication training groups. The goal of the training was to teach the 5As (Ask, Advise, Agree, Assist, Arrange) for physical activity counseling. Outcome measures were changes in patient perceptions of autonomy support (modified Health Care Climate Questionnaire, mHCCQ) and perceived competence (Perceived Competence Scale for physical activity, PCS) completed via surveys at baseline, post-intervention and six-month follow-up. Patients (n=326) were mostly female (70%) and low income. Using a generalized estimating equations model (GEE) with patients nested within clinician, patient perceived autonomy support increased at post-intervention compared to baseline (mean HCCQ scores 3.68-4.06, p=0.03). There was no significant change in patient perceived competence for physical activity. A clinician-directed intervention increased patient perceptions of clinician autonomy support but not patient perceived competence for physical activity. Clinicians working with underserved populations can be taught to improve their autonomy supportiveness, according to patient assessments of their clinicians. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  3. The work of physical education professionals in Family Health Support Centers (NASF: a national survey

    Directory of Open Access Journals (Sweden)

    Sueyla Ferreira da Silva dos Santos

    2015-12-01

    Full Text Available DOI: http://dx.doi.org/10.5007/1980-0037.2015v17n6p693   This is a descriptive and quantitative national survey aimed at presenting Health Education practices (HE developed by Physical Education professionals working at NASF in Brazil. Overall, 296 professionals participated in this study, stratified by Brazilian regions and NASF groupings. Electronic interviews were conducted regarding the activities developed at the unity where each NASF professional worked. The main activities reported were gymnastics (40.1%, and walking (29.4%, having as their priority public elderly people (68.8%, groups of hypertensive and diabetic patients (30.9% and young people (48.3%, respectively. The most discussed topics in lectures and orientations was the importance of physical activity (51.4% and the second most cited was the prevention/treatment of comorbities (32.3%. The community spaces most utilized by Physical Education professionals to develop activities were: public squares, community centers and schools in the southeastern and southern regions of Brazil, and religious entities in the northeastern and Midwestern regions. In conclusion, in spite of the diversity of activities developed in different regions of Brazil, there is predominance of traditional Physical Education contents, which reflect the need of permanent education of such professionals to improve the quality of services offered to the community.

  4. Family-Centered Care in Neonatal Intensive Care Units: Combining Intensive Care and Family Support.

    Science.gov (United States)

    Araki, Shunsuke; Saito, Tomoko; Ichikawa, Saori; Saito, Kaori; Takada, Tsuzumi; Noguchi, Satoko; Yamada, Miki; Nakagawa, Fumi

    Advances in treatment in neonatal intensive care units (NICU) for preterm and sick newborns have improved the mortality rate of patients, but admission to the NICU may disrupt parent-infant interaction, with adverse consequences for infants and their families because of physical, psychological, and emotional separation. The concept of family centered care (FCC), in which family members are part of the care team and infants are close to the family, is important and has become popular in NICU. In 2013, we created a team called "Kodomo-Kazoku Mannaka" to promote FCC in Japan, and visited the NICU at Uppsala University Hospital in Sweden, which is internationally famous for FCC. Since this fruitful visit, we have been promoting FCC in Japan by exhibitions and presentations of the FCC ideas at academic conferences and using internet services. A questionnaire survey conducted in 2015 revealed that the importance and the benefits of FCC in NICU are recognized, although there are some barriers to FCC in each facility. It is hard to change facilities and social systems right away, but it is easier and more important to change people's minds. Our role is to spread the concept of FCC and to help each facility find its own way to adopt it. We will continue to make efforts encourage to promote FCC in Japan.

  5. Intelligent Speed Assistance (ISA).

    NARCIS (Netherlands)

    2015-01-01

    Intelligent Speed Assistance (ISA) has been a promising type of advanced driver support system for some decades. From a technical point of view, large scale ISA implementation is possible in the short term. The different types of ISA are expected to have different effects on behaviour and traffic

  6. Intelligent playgrounds

    DEFF Research Database (Denmark)

    Larsen, Lasse Juel

    2009-01-01

    This paper examines play, gaming and learning in regard to intelligent playware developed for outdoor use. The key questions are how does these novel artefacts influence the concept of play, gaming and learning. Up until now play and game have been understood as different activities. This paper...... examines if the sharp differentiation between the two can be uphold in regard to intelligent playware for outdoor use. Play and game activities will be analysed and viewed in conjunction with learning contexts. This paper will stipulate that intelligent playware facilitates rapid shifts in contexts...

  7. Artificial intelligence

    CERN Document Server

    Ennals, J R

    1987-01-01

    Artificial Intelligence: State of the Art Report is a two-part report consisting of the invited papers and the analysis. The editor first gives an introduction to the invited papers before presenting each paper and the analysis, and then concludes with the list of references related to the study. The invited papers explore the various aspects of artificial intelligence. The analysis part assesses the major advances in artificial intelligence and provides a balanced analysis of the state of the art in this field. The Bibliography compiles the most important published material on the subject of

  8. Artificial Intelligence

    CERN Document Server

    Warwick, Kevin

    2011-01-01

    if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' - Nick Smith, Engineering and Technology Magazine November 2011 Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevin Warwick, a pioneer in the field, examines issues of what it means to be man or machine and looks at advances in robotics which have blurred the boundaries. Topics covered include: how intelligence can be defined whether machines can 'think' sensory

  9. DOC/WSNSO [Department of Commerce/Weather Service Nuclear Support Office] operational support to Federal Radiological Monitoring and Assessment Center

    International Nuclear Information System (INIS)

    Mueller, P.

    1989-01-01

    The National Weather Service (NWS) is an agency of the Department of Commerce. The NWS has hundreds of weather offices throughout the United States. The Weather Service Nuclear Support Office (WSNSO) is a highly specialized unit of NWS that provides direct support to the U.S. Department of Energy's (DOE's) underground nuclear testing program. The WSNSO has been associated with the DOE for >33 yr. As a result of the unique relationship with the DOE, all WSNSO emergency response meteorologists and meteorological technicians are allowed access to classified material. Meteorological phenomena play a significant role during a Federal Radiological Monitoring and Assessment Center (FRMAC) event, and WSNSO meteorologists provide direct support to ARAC. The marriage of state-of-the-art computer systems together with proven technology provides the on-scene WSNSO meteorologist with essentially a portable fully equipped, fully functional, advanced NWS weather station. The WSNSO's emergency response personnel and hardware are at the ready and can be mobilized within 2 h. WSNSO can provide on-scene weather forecasts and critical weather data collection whenever and wherever necessary

  10. Student-Centered Modules to Support Active Learning in Hydrology: Development Experiences and Users' Perspectives

    Science.gov (United States)

    Tarboton, D. G.; Habib, E. H.; Deshotel, M.; Merck, M. F.; Lall, U.; Farnham, D. J.

    2016-12-01

    Traditional approaches to undergraduate hydrology and water resource education are textbook based, adopt unit processes and rely on idealized examples of specific applications, rather than examining the contextual relations in the processes and the dynamics connecting climate and ecosystems. The overarching goal of this project is to address the needed paradigm shift in undergraduate education of engineering hydrology and water resources education to reflect parallel advances in hydrologic research and technology, mainly in the areas of new observational settings, data and modeling resources and web-based technologies. This study presents efforts to develop a set of learning modules that are case-based, data and simulation driven and delivered via a web user interface. The modules are based on real-world case studies from three regional hydrologic settings: Coastal Louisiana, Utah Rocky Mountains and Florida Everglades. These three systems provide unique learning opportunities on topics such as: regional-scale budget analysis, hydrologic effects of human and natural changes, flashflood protection, climate-hydrology teleconnections and water resource management scenarios. The technical design and contents of the modules aim to support students' ability for transforming their learning outcomes and skills to hydrologic systems other than those used by the specific activity. To promote active learning, the modules take students through a set of highly engaging learning activities that are based on analysis of hydrologic data and model simulations. The modules include user support in the form of feedback and self-assessment mechanisms that are integrated within the online modules. Module effectiveness is assessed through an improvement-focused evaluation model using a mixed-method research approach guiding collection and analysis of evaluation data. Both qualitative and quantitative data are collected through student learning data, product analysis, and staff interviews

  11. Prevalence and Predisposing Factors to Candidiasis Infection in Women Supported by Health Centers of Tabriz, 2004.

    Directory of Open Access Journals (Sweden)

    J Babapour

    2007-04-01

    Full Text Available Introduction: Vaginits is probably the most common infection in women during their reproductive years, resulting in 5-10 million health-care visits a year, worldwide. Vulvovaginal candidiasis (vvc is the second-most common form of vaginitis in the United States, which is associated with use of oral contraceptives containing high levels of estrogen and hormonal therapies. Midwives play an important role not only in the assessment and management of vaginal infections, but also in educating women about vaginal health. Recognizing risk factors associated with infections are the key to vaginal health.The aim of this study was to determine the prevalence and risk factors of Candidal vaginitis in women referring to Tabriz health centers. Methods: This was a cross sectional study carried out on 1000 women aged 15-49 years who were selected by multiple random method. A sample of vaginal discharge was taken from the posterior fornix of the cervix and from the vaginal wall using sterile cotton swabs. The mycelium was observed by microscopic examination of a wet mount of the secretions. Another sample was taken for culturing in Agar sabura and transported to the laboratory. In addition, questionnaires with personal and reproductive information were completed. Data was analyzed by using SPSS version 15 and chi-square and, t student statistical tests were used for analysis. Results : This investigation indicated that prevalence of candidiasis was 25.2%. There was no meaningful statistical relationship between age, marriage age, occupation, education status, body mass index, day of menstruation cycle and abortion history with candidal vaginitis (p>.05,but a statistically significant relationship was observed between number of deliveries, vaginal Ph with candidiasis. Also, there was a reverse statistical relationship between OCP, DMPA methods and candidiasis. Conclusion: Midwives and other health professionals have an important role to play by giving more

  12. PASSCAL Instrument Center Support for Cryoseismology: Methodologies, Challenges, Development and Instrumentation

    Science.gov (United States)

    Beaudoin, B. C.; Anderson, K. R.; Bilek, S. L.; Carpenter, P.; Childs, D.; Chung, P.; Huerta, A. D.; Lingutla, N.; Nikolaus, K.; Winberry, J. P.

    2017-12-01

    Remote portable seismic stations are, in most cases, constrained by logistics and cost. High latitude operations introduce environmental, technical and logistical challenges that require substantially more engineering work to ensure robust, high quality data return. Since 2006, IRIS PASSCAL has been funded by NSF to develop, deploy, and maintain a pool of polar specific seismic stations. At roughly the same time, PASSCAL began supporting experiments specifically targeting glacier dynamics such as the mechanisms of subglacial hydrology, basal shear stress, ice stream stick slip mechanisms, and glacier seismicity. Although much of the development for high-latitude deployments was directly applicable to cryoseismology, these new experiments introduced a unique series of challenges including high ablation, standing water, and moving stations. Our polar development objectives have focused on: Reducing station power requirements, size and weight; Extending the operational temperature of a station; Simplifying logistics; Engineering solutions that are cost effective, manufacturable, serviceable and reusable; And, developing high-latitude communications for both state-of-health and data transmission. To these ends, PASSCAL continues testing new power storage technology, refining established power systems for lighter and smaller power banks, and exploring telemetry solutions to increase high-bandwidth communication options and abilities for remote seismic stations. Further enhancing PASSCAL's ability to support cryoseismology is a recent NSF funded collaborative effort lead by Central Washing University joined by IRIS and New Mexico Tech to build a Geophysical Earth Observatory for Ice Covered Environments (GEOICE). The GEOICE instrument, power system and other integrated ancillary components are designed to require minimal installation time and logistical load (i.e., size and weight), while maximizing ease-of-use in the field and optimizing costs of instrumentation and

  13. D-Side: A Facility and Workforce Planning Group Multi-criteria Decision Support System for Johnson Space Center

    Science.gov (United States)

    Tavana, Madjid

    2005-01-01

    "To understand and protect our home planet, to explore the universe and search for life, and to inspire the next generation of explorers" is NASA's mission. The Systems Management Office at Johnson Space Center (JSC) is searching for methods to effectively manage the Center's resources to meet NASA's mission. D-Side is a group multi-criteria decision support system (GMDSS) developed to support facility decisions at JSC. D-Side uses a series of sequential and structured processes to plot facilities in a three-dimensional (3-D) graph on the basis of each facility alignment with NASA's mission and goals, the extent to which other facilities are dependent on the facility, and the dollar value of capital investments that have been postponed at the facility relative to the facility replacement value. A similarity factor rank orders facilities based on their Euclidean distance from Ideal and Nadir points. These similarity factors are then used to allocate capital improvement resources across facilities. We also present a parallel model that can be used to support decisions concerning allocation of human resources investments across workforce units. Finally, we present results from a pilot study where 12 experienced facility managers from NASA used D-Side and the organization's current approach to rank order and allocate funds for capital improvement across 20 facilities. Users evaluated D-Side favorably in terms of ease of use, the quality of the decision-making process, decision quality, and overall value-added. Their evaluations of D-Side were significantly more favorable than their evaluations of the current approach. Keywords: NASA, Multi-Criteria Decision Making, Decision Support System, AHP, Euclidean Distance, 3-D Modeling, Facility Planning, Workforce Planning.

  14. Speed support through the intelligent vehicle : perspective, estimated effects and implementation aspects.[Deliverable of the Intelligent Vehicles project, part of the Traffic Management project within TRANSUMO (TRANsition to SUstainable MObility).

    NARCIS (Netherlands)

    Morsink, P. Goldenbeld, C. Dragutinovic, N. Marchau, V. Walta, L. & Brookhuis, K.

    2008-01-01

    Speed management is a central theme in traffic management, aiming to optimize traffic in terms of safety, efficiency and the environment, by reducing speeding and speed differences in traffic. Intelligent vehicles can perform tasks that conventional measures cannot do at all, or do less efficiently.

  15. Intelligent Advertising

    OpenAIRE

    Díaz Pinedo, Edilfredo Eliot

    2012-01-01

    Intelligent Advertisement diseña e implementa un sistema de publicidad para dispositivos móviles en un centro comercial, donde los clientes reciben publicidad de forma pasiva en sus dispositivos mientras están dentro.

  16. Rethink space: (Re)designing a workspace using human-centered design to support flexibility, collaboration, and engagement among clinical and translational research support services.

    Science.gov (United States)

    Doshi, Aalap; Clay, Christina

    2017-06-01

    Space matters. We read space like we read people's faces. Space is an instrument of collaboration and innovation. At the University of Michigan's Institute for Clinical and Health Research (MICHR), a team was created to creatively and economically enhance our operating space into a flexible workspace that supports privacy, innovation, creativity, and most important, a culture of collaboration. The team used a human-centered design process to creatively engage the staff at large into analyzing our existing space, identifying latent needs, proposing solutions, generating feedback, and economically building the rethought process. The redesigned workspace embraces the differences among MICHR's teams while encouraging collaboration and teamwork and keeping costs at a minimum. It has resulted in a flexible space that includes co-located teams, spaces dedicated to different work goals, an open area for collaboration, quiet zones for focused work, and better wayfinding. Through our Rethink Space project, we hope to have demonstrated that, by initiating the project internally and by engaging the users of the space themselves in an empathetic, visual, and human-centered way, a space redesign can be undertaken economically while also leading to improved levels of employee and team satisfaction.

  17. The approach of occupational therapists in the Family Health Support Centers (NASF in the state of Alagoas, Brazil

    Directory of Open Access Journals (Sweden)

    Rodrigo Alves dos Santos Silva

    2014-09-01

    Full Text Available Primary Health Care - ABS plays a key role among the public policies of the Brazilian Unified Health System - SUS, and it is guided by the Family Health Strategy - ESF. In this context, the Family Health Support Centers - NASF were created by the Health Ordinance No. 154 of 24 Jan. 2008, with the aim of expanding the action of ABS, and its importance was reaffirmed by the Health Ordinance No. 2, 488, dated 21 Oct. 2011, which revoked the first one but did not alter the assignments of the NASF professionals and consolidated teamwork as a priority for the reorganization of ABS in Brazil. In this context, the objective of this research was to understand the approach of Occupational Therapists in the Family Health Support Centers in Alagoas state. This is a qualitative study which uses a self-responsive questionnaire, structured by researchers, containing an open question where Occupational Therapists could describe their work in the NASF. All subjects agreed to participate. The responses were interpreted reflectively by researchers seeking contribution to the initial concepts of the working process of Occupational Therapists at the NASFs. In this study, the occupational therapist described the realization of preventive, promotion and education actions in health, as well as actions of rehabilitation, mental health and performance in Activities of Daily Living (ADL and Instrumental Activities of Daily Living (IADL. Thus, the NASF strategy places the Occupational Therapist in search for ways and strategies to perform a collective practice.

  18. BUSINESS INTELLIGENCE

    OpenAIRE

    Bogdan Mohor Dumitrita

    2011-01-01

    The purpose of this work is to present business intelligence systems. These systems can be extremely complex and important in modern market competition. Its effectiveness also reflects in price, so we have to exlore their financial potential before investment. The systems have 20 years long history and during that time many of such tools have been developed, but they are rarely still in use. Business intelligence system consists of three main areas: Data Warehouse, ETL tools and tools f...

  19. Intelligent indexing

    International Nuclear Information System (INIS)

    Farkas, J.

    1992-01-01

    In this paper we discuss the relevance of artificial intelligence to the automatic indexing of natural language text. We describe the use of domain-specific semantically-based thesauruses and address the problem of creating adequate knowledge bases for intelligent indexing systems. We also discuss the relevance of the Hilbert space ι 2 to the compact representation of documents and to the definition of the similarity of natural language texts. (author). 17 refs., 2 figs

  20. Intelligent indexing

    Energy Technology Data Exchange (ETDEWEB)

    Farkas, J

    1993-12-31

    In this paper we discuss the relevance of artificial intelligence to the automatic indexing of natural language text. We describe the use of domain-specific semantically-based thesauruses and address the problem of creating adequate knowledge bases for intelligent indexing systems. We also discuss the relevance of the Hilbert space {iota}{sup 2} to the compact representation of documents and to the definition of the similarity of natural language texts. (author). 17 refs., 2 figs.

  1. From thought to action: young parents' reasons for participation in parenting support groups at child welfare centers.

    Science.gov (United States)

    Hjelte, Jan; Sjöberg, Magdalena; Westerberg, Kristina; Hyvönen, Ulf

    2015-01-01

    In this article the focus is on young parents' engagement process in relation to participation in parenting support groups carried out at child welfare centers. This qualitative study focuses not only on young parents' reasons for participating or not participating in parenting support groups during different phases in their engagement process, but also on examining the circumstances that may contribute to such changes. The results show that these reasons can be divided into four categories: the staff, other participants, the social network, and practical circumstances. It also appears that these reasons change between different phases of their engagement process. Primarily three different circumstances contributed to variation in parents' reasons: difficulty in predicting the value of participation, increased closeness in relationships with staff and other parents, and the specific life phase in which young parents find themselves. The results have important implications for policy makers and practitioners in their work in formulating and updating parenting support; they also indicate what may be important to focus on in the recruitment of young parents, and also what may be crucial in regard to them completing their engagement in parent support groups.

  2. Genetic Evidence Supports the Multiethnic Character of Teopancazco, a Neighborhood Center of Teotihuacan, Mexico (AD 200-600.

    Directory of Open Access Journals (Sweden)

    Brenda A Álvarez-Sandoval

    Full Text Available Multiethnicity in Teopancazco, Teotihuacan, is supported by foreign individuals found in the neighborhood center as well as by the diversity observed in funerary rituals at the site. Studies of both stable and strontium isotopes as well as paleodietary analysis, suggest that the population of Teopancazco was composed by three population groups: people from Teotihuacan, people from nearby sites (Tlaxcala-Hidalgo-Puebla, and people from afar, including the coastal plains. In an attempt to understand the genetic dynamics in Teopancazco we conducted an ancient DNA (aDNA analysis based on mtDNA. Our results show that the level of genetic diversity is consistent with the multiethnicity phenomenon at the neighborhood center. Levels of genetic diversity at different time periods of Teopancazco's history show that multiethnicity was evident since the beginning and lasted until the collapse of the neighborhood center. However, a PCA and a Neighbor-Joining tree suggested the presence of a genetically differentiated group (buried at the Transitional phase compared to the population from the initial phase (Tlamimilolpa as well as the population from the final phase (Xolalpan of the history of Teopancazco. Genetic studies showed no differences in genetic diversity between males and females in the adult population of Teopancazco, this data along with ample archaeological evidence, suggest a neolocal post-marital pattern of residence in Teopancazco. Nevertheless, genetic analyses on the infant population showed that the males are significantly more heterogeneous than the females suggesting a possible differential role in cultural practices by sex in the infant sector. Regarding interpopulation analysis, we found similar indices of genetic diversity between Teopancazco and heterogeneous native groups, which support the multiethnic character of Teopancazco. Finally, our data showed a close genetic relationship between Teopancazco and populations from the

  3. A Data-Centered Collaboration Portal to Support Global Carbon-Flux Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Agarwal, Deborah A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States); Humphrey, Marty [Univ. of Virginia, Charlottesville, VA (United States); Beekwilder, Norm [Univ. of Virginia, Charlottesville, VA (United States); Jackson, Keith [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States); Goode, Monte [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States); van Ingen, Catharine [Microsoft. San Francisco, CA (United States)

    2009-04-07

    Carbon-climate, like other environmental sciences, has been changing. Large-scalesynthesis studies are becoming more common. These synthesis studies are often conducted by science teams that are geographically distributed and on datasets that are global in scale. A broad array of collaboration and data analytics tools are now available that could support these science teams. However, building tools that scientists actually use is hard. Also, moving scientists from an informal collaboration structure to one mediated by technology often exposes inconsistencies in the understanding of the rules of engagement between collaborators. We have developed a scientific collaboration portal, called fluxdata.org, which serves the community of scientists providing and analyzing the global FLUXNET carbon-flux synthesis dataset. Key things we learned or re-learned during our portal development include: minimize the barrier to entry, provide features on a just-in-time basis, development of requirements is an on-going process, provide incentives to change leaders and leverage the opportunity they represent, automate as much as possible, and you can only learn how to make it better if people depend on it enough to give you feedback. In addition, we also learned that splitting the portal roles between scientists and computer scientists improved user adoption and trust. The fluxdata.org portal has now been in operation for ~;;1.5 years and has become central to the FLUXNET synthesis efforts.

  4. Challenging problems and solutions in intelligent systems

    CERN Document Server

    Grzegorzewski, Przemysław; Kacprzyk, Janusz; Owsiński, Jan; Penczek, Wojciech; Zadrożny, Sławomir

    2016-01-01

    This volume presents recent research, challenging problems and solutions in Intelligent Systems– covering the following disciplines: artificial and computational intelligence, fuzzy logic and other non-classic logics, intelligent database systems, information retrieval, information fusion, intelligent search (engines), data mining, cluster analysis, unsupervised learning, machine learning, intelligent data analysis, (group) decision support systems, intelligent agents and multi-agent systems, knowledge-based systems, imprecision and uncertainty handling, electronic commerce, distributed systems, etc. The book defines a common ground for sometimes seemingly disparate problems and addresses them by using the paradigm of broadly perceived intelligent systems. It presents a broad panorama of a multitude of theoretical and practical problems which have been successfully dealt with using the paradigm of intelligent computing.

  5. Association between perceived social support and induced abortion: A study in maternal health centers in Lima, Peru.

    Science.gov (United States)

    Sánchez-Siancas, Luis E; Rodríguez-Medina, Angélica; Piscoya, Alejandro; Bernabe-Ortiz, Antonio

    2018-01-01

    This study aimed to assess the association between perceived social support and induced abortion among young women in Lima, Peru. In addition, prevalence and incidence of induced abortion was estimated. A cross-sectional study enrolling women aged 18-25 years from maternal health centers in Southern Lima, Peru, was conducted. Induced abortion was defined as the difference between the total number of pregnancies ended in abortion and the number of spontaneous abortions; whereas perceived social support was assessed using the DUKE-UNC scale. Prevalence and incidence of induced abortion (per 100 person-years risk) was estimated, and the association of interest was evaluated using Poisson regression models with robust variance. A total of 298 women were enrolled, mean age 21.7 (± 2.2) years. Low levels of social support were found in 43.6% (95%CI 38.0%-49.3%), and 17.4% (95%CI: 13.1%- 21.8%) women reported at least one induced abortion. The incidence of induced abortion was 2.37 (95%CI: 1.81-3.11) per 100 person-years risk. The multivariable model showed evidence of the association between low perceived social support and induced abortion (RR = 1.94; 95%CI: 1.14-3.30) after controlling for confounders. There was evidence of an association between low perceived social support and induced abortion among women aged 18 to 25 years. Incidence of induced abortion was similar or even greater than rates of countries where abortion is legal. Strategies to increase social support and reduce induced abortion rates are needed.

  6. Kennedy Space Center (KSC) Pad B Catenary Capability Analysis and Technical Exchange Meeting (TEM) Support

    Science.gov (United States)

    Wilson, Timmy R.; Kichak, Robert; Rakov, Vladimir; Kithil, Richard, Jr.; Sargent, Noel B.

    2009-01-01

    The existing lightning protection system at Pad 39B for the Space Shuttle is an outgrowth of a system that was put in place for the Apollo Program. Dr. Frank Fisher of Lightning Technologies was a key participant in the design and implementation of that system. He conveyed to the NESC team that the catenary wire provision was put in place quickly (as assurance against possible vehicle damage causing critical launch delays) rather than being implemented as a comprehensive system designed to provide a high degree of guaranteed protection. Also, the technology of lightning protection has evolved over time with considerable work being conducted by groups such as the electric utilities companies, aircraft manufacturers, universities, and others. Several accepted present-day methods for analysis of lightning protection were used by Drs. Medelius and Mata to study the expected lightning environment for the Pad 39B facility and to analyze the degree of protection against direct lightning attachment to the Space Shuttle. The specific physical configuration directly affects the vulnerability, so cases that were considered included the RSS next to and rolled back from the Space Shuttle, and the GOx Vent Arm both extended and withdrawn from the ET. Elements of the lightning protection system at Pad 39B are shown in Figure 6.0-1 and consist of an 80 foot insulating mast on top of the Fixed Support Structure (FSS), a catenary wire system that runs from the mast in a North/South direction to grounds 1000 feet away on each side of the mast, the RSS which can either be next to or away from the Space Shuttle, and a GOx vent that can either be extended or retracted from the top of the ET.

  7. Social Representations of Intelligence

    Directory of Open Access Journals (Sweden)

    Elena Zubieta

    2016-02-01

    Full Text Available The article stresses the relationship between Explicit and Implicit theories of Intelligence. Following the line of common sense epistemology and the theory of Social Representations, a study was carried out in order to analyze naive’s explanations about Intelligence Definitions. Based on Mugny & Carugati (1989 research, a self-administered questionnaire was designed and filled in by 286 subjects. Results are congruent with the main hyphotesis postulated: A general overlap between explicit and implicit theories showed up. According to the results Intelligence appears as both, a social attribute related to social adaptation and as a concept defined in relation with contextual variables similar to expert’s current discourses. Nevertheless, conceptions based on “gifted ideology” still are present stressing the main axes of Intelligence debate: biological and sociological determinism. In the same sense, unfamiliarity and social identity are reaffirmed as organizing principles of social representation. The distance with the object -measured as the belief in intelligence differences as a solve/non solve problem- and the level of implication with the topic -teachers/no teachers- appear as discriminating elements at the moment of supporting specific dimensions. 

  8. Building partnerships to produce actionable science to support climate-informed management decisions: North Central Climate Science Center example

    Science.gov (United States)

    Lackett, J.; Ojima, D. S.; McNeeley, S.

    2017-12-01

    As climate change impacts become more apparent in our environment, action is needed to enhance the social-ecological system resilience. Incorporating principles which lead to actionable research and project co-development, when appropriate, will facilitate building linkages between the research and the natural resource management communities. In order to develop strategies to manage for climatic and ecosystem changes, collaborative actions are needed between researchers and resource managers to apply appropriate knowledge of the ecosystem and management environments to enable feasible solutions and management actions to respond to climate change. Our team has been involved in developing and establishing a research and engagement center, the North Central Climate Science Center (NC CSC), for the US Department of Interior, to support the development and translation of pertinent climate science information to natural resource managers in the north central portion of the United States. The NC CSC has implemented a platform to support the Resource for Vulnerability Assessment, Adaptation, and Mitigation Projects (ReVAMP) with research, engagement, and training activities to support resource managers and researchers. These activities are aimed at the co-production of appropriate response strategies to climate change in the region, in particular to drought-related responses. Through this platform we, with other partners in the region, including the Department of Interior and the Department of Agriculture, are bringing various training tools, climate information, and management planning tools to resource managers. The implementation of ReVAMP has led to development of planning efforts which include a more explicit representation of climate change as a driver of drought events in our region. Scenario planning provides a process which integrates management goals with possible outcomes derived from observations and simulations of ecological impacts of climate change. Co

  9. Intelligent Extruder

    Energy Technology Data Exchange (ETDEWEB)

    AlperEker; Mark Giammattia; Paul Houpt; Aditya Kumar; Oscar Montero; Minesh Shah; Norberto Silvi; Timothy Cribbs

    2003-04-24

    ''Intelligent Extruder'' described in this report is a software system and associated support services for monitoring and control of compounding extruders to improve material quality, reduce waste and energy use, with minimal addition of new sensors or changes to the factory floor system components. Emphasis is on process improvements to the mixing, melting and de-volatilization of base resins, fillers, pigments, fire retardants and other additives in the :finishing'' stage of high value added engineering polymer materials. While GE Plastics materials were used for experimental studies throughout the program, the concepts and principles are broadly applicable to other manufacturers materials. The project involved a joint collaboration among GE Global Research, GE Industrial Systems and Coperion Werner & Pleiderer, USA, a major manufacturer of compounding equipment. Scope of the program included development of a algorithms for monitoring process material viscosity without rheological sensors or generating waste streams, a novel detection scheme for rapid detection of process upsets and an adaptive feedback control system to compensate for process upsets where at line adjustments are feasible. Software algorithms were implemented and tested on a laboratory scale extruder (50 lb/hr) at GE Global Research and data from a production scale system (2000 lb/hr) at GE Plastics was used to validate the monitoring and detection software. Although not evaluated experimentally, a new concept for extruder process monitoring through estimation of high frequency drive torque without strain gauges is developed and demonstrated in simulation. A plan to commercialize the software system is outlined, but commercialization has not been completed.

  10. Artificial intelligence tools to support the analysis of the high tension insulator flaming; Herramientas de inteligencia artificial de apoyo al analisis de flameos en aisladores de alta tension

    Energy Technology Data Exchange (ETDEWEB)

    Rodriguez Ortiz, Guillermo; Mejia Lavalle, Manuel; Montoya Tena, Gerardo [Instituto de Investigaciones Electricas, Cuernavaca (Mexico)

    1996-12-31

    Four artificial intelligence tools developed at the Instituto de Investigaciones Electricas (IIE) to support the analysis of high tension insulator flaming are described. The first tool builds up a decision tree departing from historical data, the other 3 tools operate departing from the decision tree previously created to generate production rules, function as an expert system and make tests with many already known cases. These tools could predict the impending occurrence of flaming with enough time allowance for the insulators to be cleaned, since the traditional practice is the periodical cleaning of the insulators and this is not always adequate since the cleaning teams are limited, and the action of the environment is not always constant and for that reason insulators that do not need it are cleaned and vice-versa [Espanol] Se describen 4 herramientas de inteligencia artificial desarrolladas en el Instituto de Investigaciones Electricas (IIE) para apoyar al analisis de flameos en aisladores de alta tension. La primera herramienta construye el arbol de decision a partir de datos historicos; las otras 3 herramientas operan a partir del arbol de decision previamente creado para generar reglas de produccion, funcionar a la manera de un sistema experto y hacer pruebas con muchos casos conocidos. Estas herramientas podrian predecir la ocurrencia inminente del flameo con tiempo suficiente para que los aisladores se limpien, ya que la forma tradicional es limpiar periodicamente los aisladores y esto a veces no es adecuado debido a que las cuadrillas de limpieza son limitadas, ademas de que la accion del medio ambiente no es constante y es por eso que a veces se limpian aisladores que no lo necesitan o viceversa

  11. Artificial Intelligence Based Optimization for the Se(IV) Removal from Aqueous Solution by Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron Composites.

    Science.gov (United States)

    Cao, Rensheng; Fan, Mingyi; Hu, Jiwei; Ruan, Wenqian; Wu, Xianliang; Wei, Xionghui

    2018-03-15

    Highly promising artificial intelligence tools, including neural network (ANN), genetic algorithm (GA) and particle swarm optimization (PSO), were applied in the present study to develop an approach for the evaluation of Se(IV) removal from aqueous solutions by reduced graphene oxide-supported nanoscale zero-valent iron (nZVI/rGO) composites. Both GA and PSO were used to optimize the parameters of ANN. The effect of operational parameters (i.e., initial pH, temperature, contact time and initial Se(IV) concentration) on the removal efficiency was examined using response surface methodology (RSM), which was also utilized to obtain a dataset for the ANN training. The ANN-GA model results (with a prediction error of 2.88%) showed a better agreement with the experimental data than the ANN-PSO model results (with a prediction error of 4.63%) and the RSM model results (with a prediction error of 5.56%), thus the ANN-GA model was an ideal choice for modeling and optimizing the Se(IV) removal by the nZVI/rGO composites due to its low prediction error. The analysis of the experimental data illustrates that the removal process of Se(IV) obeyed the Langmuir isotherm and the pseudo-second-order kinetic model. Furthermore, the Se 3d and 3p peaks found in XPS spectra for the nZVI/rGO composites after removing treatment illustrates that the removal of Se(IV) was mainly through the adsorption and reduction mechanisms.

  12. Artificial intelligence tools to support the analysis of the high tension insulator flaming; Herramientas de inteligencia artificial de apoyo al analisis de flameos en aisladores de alta tension

    Energy Technology Data Exchange (ETDEWEB)

    Rodriguez Ortiz, Guillermo; Mejia Lavalle, Manuel; Montoya Tena, Gerardo [Instituto de Investigaciones Electricas, Cuernavaca (Mexico)

    1997-12-31

    Four artificial intelligence tools developed at the Instituto de Investigaciones Electricas (IIE) to support the analysis of high tension insulator flaming are described. The first tool builds up a decision tree departing from historical data, the other 3 tools operate departing from the decision tree previously created to generate production rules, function as an expert system and make tests with many already known cases. These tools could predict the impending occurrence of flaming with enough time allowance for the insulators to be cleaned, since the traditional practice is the periodical cleaning of the insulators and this is not always adequate since the cleaning teams are limited, and the action of the environment is not always constant and for that reason insulators that do not need it are cleaned and vice-versa [Espanol] Se describen 4 herramientas de inteligencia artificial desarrolladas en el Instituto de Investigaciones Electricas (IIE) para apoyar al analisis de flameos en aisladores de alta tension. La primera herramienta construye el arbol de decision a partir de datos historicos; las otras 3 herramientas operan a partir del arbol de decision previamente creado para generar reglas de produccion, funcionar a la manera de un sistema experto y hacer pruebas con muchos casos conocidos. Estas herramientas podrian predecir la ocurrencia inminente del flameo con tiempo suficiente para que los aisladores se limpien, ya que la forma tradicional es limpiar periodicamente los aisladores y esto a veces no es adecuado debido a que las cuadrillas de limpieza son limitadas, ademas de que la accion del medio ambiente no es constante y es por eso que a veces se limpian aisladores que no lo necesitan o viceversa

  13. Field Operations For The "Intelligent River" Observation System: A Basin-wide Water Quality Observation System In The Savannah River Basin And Platform Supporting Related Diverse Initiatives.

    Science.gov (United States)

    Sutton, A.; Koons, M.; O'Brien-Gayes, P.; Moorer, R.; Hallstrom, J.; Post, C.; Gayes, P. T.

    2017-12-01

    The Intelligent River (IR) initiative is an NSF sponsored study developing new data management technology for a range of basin-scale applications. The technology developed by Florida Atlantic and Clemson University established a network of real-time reporting water quality sondes; from the mountains to the estuary of the Savannah River basin. Coastal Carolina University led the field operations campaign. Ancillary studies, student projects and initiatives benefitted from the associated instrumentation, infrastructure and operational support of the IR program. This provided a vehicle for students to participate in fieldwork across the watershed and pursue individual interests. Student projects included: 1) a Multibeam sonar survey investigating channel morphology in the area of an IR sensor station and 2) field tests of developing techniques for acquiring and assimilating flood velocity data into model systems associated with a separate NSF Rapid award. The multibeam survey within the lower Savannah basin exhibited a range of complexity in bathymetry, bedforms and bottom habitat in the vicinity of one of the water quality stations. The complex morphology and bottom habitat reflect complex flow patterns, localized areas of depositional and erosive tendencies providing a valuable context for considering point-source water quality time series. Micro- Lagrangian drifters developed by ISENSE at Florida Atlantic University, a sled mounted ADCP, and particle tracking from imagery collected by a photogrammetric drone were tested and used to develop methodology for establishing velocity, direction and discharge levels to validate, initialize and assimilate data into advance models systems during future flood events. The prospect of expanding wide scale observing systems can serve as a platform to integrate small and large-scale cooperative studies across disciplines as well as basic and applied research interests. Such initiatives provide opportunities for embedded education

  14. Latest Community Coordinated Modeling Center (CCMC) services and innovative tools supporting the space weather research and operational communities.

    Science.gov (United States)

    Mendoza, A. M. M.; Rastaetter, L.; Kuznetsova, M. M.; Mays, M. L.; Chulaki, A.; Shim, J. S.; MacNeice, P. J.; Taktakishvili, A.; Collado-Vega, Y. M.; Weigand, C.; Zheng, Y.; Mullinix, R.; Patel, K.; Pembroke, A. D.; Pulkkinen, A. A.; Boblitt, J. M.; Bakshi, S. S.; Tsui, T.

    2017-12-01

    The Community Coordinated Modeling Center (CCMC), with the fundamental goal of aiding the transition of modern space science models into space weather forecasting while supporting space science research, has been serving as an integral hub for over 15 years, providing invaluable resources to both space weather scientific and operational communities. CCMC has developed and provided innovative web-based point of access tools varying from: Runs-On-Request System - providing unprecedented global access to the largest collection of state-of-the-art solar and space physics models, Integrated Space Weather Analysis (iSWA) - a powerful dissemination system for space weather information, Advanced Online Visualization and Analysis tools for more accurate interpretation of model results, Standard Data formats for Simulation Data downloads, and Mobile apps to view space weather data anywhere to the scientific community. In addition to supporting research and performing model evaluations, CCMC also supports space science education by hosting summer students through local universities. In this poster, we will showcase CCMC's latest innovative tools and services, and CCMC's tools that revolutionized the way we do research and improve our operational space weather capabilities. CCMC's free tools and resources are all publicly available online (http://ccmc.gsfc.nasa.gov).

  15. The Integration of Virtual Public-Private Partnerships into Local Law Enforcement to Achieve Enhanced Intelligence-Led Policing

    National Research Council Canada - National Science Library

    Simeone, Jr, Matthew J

    2007-01-01

    In light of the recent emergence of fusion centers and centralized intelligence units, and the move to develop intelligence capacity within local law enforcement agencies in the United States, intelligence-led policing (ILP...

  16. Intelligence Support to Urban Operations

    Science.gov (United States)

    2015-12-01

    one Russian brigade in Chechnya in 1995 show that 15 percent of the brigade was down with hepatitis at one time. Dirty water was the main culprit in...Historical Series), Washington, DC: U.S. Government Printing Office, 1972. “Medical records of one Russian Brigade in Chechnya show that 15 percent of...Jorgensen, “Viral Hepatitis and the Russian War in Chechnya ,” Army Medical Department Journal, May–June 1997, 2–4. Available online at the Foreign

  17. Intelligent social infrastructure technology. Infrastructure technology support ultra-reliable society; Chiteki shakai kiban kogaku gijutsu. Choanshin shakai wo sasaeru kiban gijutsu

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-03-01

    This survey was conducted to construct the core of intelligent social infrastructure technology (ISIT), and to investigate its practical application to industries and society. For realizing the ultra-safe and ultra-reliable society, it is necessary to develop the ISIT which can integrate various social infrastructures, such as architecture, city, energy, and lifeline systems required for living. For the systematization of cities, it is necessary to process and control the intelligent information by holding integrated and transverse information in common, as to logistics, lifeline, communication, monitoring, and control. For the communication engineering, the centralized systems are acceleratingly to be converted into the distributed network systems. For the mechanical engineering, intelligent control and robot technology are required. For the architectural engineering, a concept exceeding the conventional antiseismic structure idea is investigated. It is necessary to develop a new information technology providing an intelligent social infrastructures by merging the information networks and the physical world seamlessly. Necessity of ISIT is large for constructing the intelligent and ultra-reliable society consisting of these integrated and organized networks. 84 refs., 68 figs., 6 tabs.

  18. Cells, Agents, and Support Vectors in Interaction - Modeling Urban Sprawl based on Machine Learning and Artificial Intelligence Techniques in a Post-Industrial Region

    Science.gov (United States)

    Rienow, A.; Menz, G.

    2015-12-01

    Since the beginning of the millennium, artificial intelligence techniques as cellular automata (CA) and multi-agent systems (MAS) have been incorporated into land-system simulations to address the complex challenges of transitions in urban areas as open, dynamic systems. The study presents a hybrid modeling approach for modeling the two antagonistic processes of urban sprawl and urban decline at once. The simulation power of support vector machines (SVM), cellular automata (CA) and multi-agent systems (MAS) are integrated into one modeling framework and applied to the largest agglomeration of Central Europe: the Ruhr. A modified version of SLEUTH (short for Slope, Land-use, Exclusion, Urban, Transport, and Hillshade) functions as the CA component. SLEUTH makes use of historic urban land-use data sets and growth coefficients for the purpose of modeling physical urban expansion. The machine learning algorithm of SVM is applied in order to enhance SLEUTH. Thus, the stochastic variability of the CA is reduced and information about the human and ecological forces driving the local suitability of urban sprawl is incorporated. Subsequently, the supported CA is coupled with the MAS ReHoSh (Residential Mobility and the Housing Market of Shrinking City Systems). The MAS models population patterns, housing prices, and housing demand in shrinking regions based on interactions between household and city agents. Semi-explicit urban weights are introduced as a possibility of modeling from and to the pixel simultaneously. Three scenarios of changing housing preferences reveal the urban development of the region in terms of quantity and location. They reflect the dissemination of sustainable thinking among stakeholders versus the steady dream of owning a house in sub- and exurban areas. Additionally, the outcomes are transferred into a digital petri dish reflecting a synthetic environment with perfect conditions of growth. Hence, the generic growth elements affecting the future

  19. NASA Intelligent Systems Project: Results, Accomplishments and Impact on Science Missions

    Science.gov (United States)

    Coughlan, Joseph C.

    2005-01-01

    The Intelligent Systems Project was responsible for much of NASA's programmatic investment in artificial intelligence and advanced information technologies. IS has completed three major project milestones which demonstrated increased capabilities in autonomy, human centered computing, and intelligent data understanding. Autonomy involves the ability of a robot to place an instrument on a remote surface with a single command cycle. Human centered computing supported a collaborative, mission centric data and planning system for the Mars Exploration Rovers and data understanding has produced key components of a terrestrial satellite observation system with automated modeling and data analysis capabilities. This paper summarizes the technology demonstrations and metrics which quantify and summarize these new technologies which are now available for future Nasa missions.

  20. System for intelligent teleoperation research

    International Nuclear Information System (INIS)

    Orlando, N.E.

    1983-01-01

    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

  1. Center for Advanced Computational Technology

    Science.gov (United States)

    Noor, Ahmed K.

    2000-01-01

    The Center for Advanced Computational Technology (ACT) was established to serve as a focal point for diverse research activities pertaining to application of advanced computational technology to future aerospace systems. These activities include the use of numerical simulations, artificial intelligence methods, multimedia and synthetic environments, and computational intelligence, in the modeling, analysis, sensitivity studies, optimization, design and operation of future aerospace systems. The Center is located at NASA Langley and is an integral part of the School of Engineering and Applied Science of the University of Virginia. The Center has four specific objectives: 1) conduct innovative research on applications of advanced computational technology to aerospace systems; 2) act as pathfinder by demonstrating to the research community what can be done (high-potential, high-risk research); 3) help in identifying future directions of research in support of the aeronautical and space missions of the twenty-first century; and 4) help in the rapid transfer of research results to industry and in broadening awareness among researchers and engineers of the state-of-the-art in applications of advanced computational technology to the analysis, design prototyping and operations of aerospace and other high-performance engineering systems. In addition to research, Center activities include helping in the planning and coordination of the activities of a multi-center team of NASA and JPL researchers who are developing an intelligent synthesis environment for future aerospace systems; organizing workshops and national symposia; as well as writing state-of-the-art monographs and NASA special publications on timely topics.

  2. Intelligent systems

    CERN Document Server

    Irwin, J David

    2011-01-01

    Technology has now progressed to the point that intelligent systems are replacing humans in the decision making processes as well as aiding in the solution of very complex problems. In many cases intelligent systems are already outperforming human activities. Artificial neural networks are not only capable of learning how to classify patterns, such images or sequence of events, but they can also effectively model complex nonlinear systems. Their ability to classify sequences of events is probably more popular in industrial applications where there is an inherent need to model nonlinear system

  3. Intelligent Universe

    Energy Technology Data Exchange (ETDEWEB)

    Hoyle, F

    1983-01-01

    The subject is covered in chapters, entitled: chance and the universe (synthesis of proteins; the primordial soup); the gospel according to Darwin (discussion of Darwin theory of evolution); life did not originate on earth (fossils from space; life in space); the interstellar connection (living dust between the stars; bacteria in space falling to the earth; interplanetary dust); evolution by cosmic control (microorganisms; genetics); why aren't the others here (a cosmic origin of life); after the big bang (big bang and steady state); the information rich universe; what is intelligence up to; the intelligent universe.

  4. Artificial intelligence

    International Nuclear Information System (INIS)

    Perret-Galix, D.

    1992-01-01

    A vivid example of the growing need for frontier physics experiments to make use of frontier technology is in the field of artificial intelligence and related themes. This was reflected in the second international workshop on 'Software Engineering, Artificial Intelligence and Expert Systems in High Energy and Nuclear Physics' which took place from 13-18 January at France Telecom's Agelonde site at La Londe des Maures, Provence. It was the second in a series, the first having been held at Lyon in 1990

  5. Artificial Intelligence and Moral intelligence

    Directory of Open Access Journals (Sweden)

    Laura Pana

    2008-07-01

    Full Text Available We discuss the thesis that the implementation of a moral code in the behaviour of artificial intelligent systems needs a specific form of human and artificial intelligence, not just an abstract intelligence. We present intelligence as a system with an internal structure and the structural levels of the moral system, as well as certain characteristics of artificial intelligent agents which can/must be treated as 1- individual entities (with a complex, specialized, autonomous or selfdetermined, even unpredictable conduct, 2- entities endowed with diverse or even multiple intelligence forms, like moral intelligence, 3- open and, even, free-conduct performing systems (with specific, flexible and heuristic mechanisms and procedures of decision, 4 – systems which are open to education, not just to instruction, 5- entities with “lifegraphy”, not just “stategraphy”, 6- equipped not just with automatisms but with beliefs (cognitive and affective complexes, 7- capable even of reflection (“moral life” is a form of spiritual, not just of conscious activity, 8 – elements/members of some real (corporal or virtual community, 9 – cultural beings: free conduct gives cultural value to the action of a ”natural” or artificial being. Implementation of such characteristics does not necessarily suppose efforts to design, construct and educate machines like human beings. The human moral code is irremediably imperfect: it is a morality of preference, of accountability (not of responsibility and a morality of non-liberty, which cannot be remedied by the invention of ethical systems, by the circulation of ideal values and by ethical (even computing education. But such an imperfect morality needs perfect instruments for its implementation: applications of special logic fields; efficient psychological (theoretical and technical attainments to endow the machine not just with intelligence, but with conscience and even spirit; comprehensive technical

  6. Complexity Intelligence and Cultural Coaching:

    Directory of Open Access Journals (Sweden)

    Jan Inglis

    2005-06-01

    Full Text Available In this article, we present the term complexity intelligence as a useful moniker to describe the reasoning ability, emotional capacity and social cognition necessary to meet the challenges of our prevailing life conditions. We suggest that, as a society and as individuals, we develop complexity intelligence as we navigate the gap between our current capacities and the capacities needed to respond to the next stage of complex challenges in our lives. We further suggest that it is possible to stimulate and support the emergence of complexity intelligence in a society, but we need a new form of social change agent - a cultural coach, to midwife its emergence.

  7. Aurora Police Lieutenant Gains Intelligence Insight

    OpenAIRE

    Center for Homeland Defense and Security

    2012-01-01

    Center for Homeland Defense and Security, PRESS RELEASES Aurora (Colo.) Police Lt. Sam McGhee has served numerous traditional roles in law enforcement such as emergency services coordinator, media relations manager, narcotics and intelligence commander and sector commander. Currently,...

  8. Cooperation and the evolution of intelligence.

    Science.gov (United States)

    McNally, Luke; Brown, Sam P; Jackson, Andrew L

    2012-08-07

    The high levels of intelligence seen in humans, other primates, certain cetaceans and birds remain a major puzzle for evolutionary biologists, anthropologists and psychologists. It has long been held that social interactions provide the selection pressures necessary for the evolution of advanced cognitive abilities (the 'social intelligence hypothesis'), and in recent years decision-making in the context of cooperative social interactions has been conjectured to be of particular importance. Here we use an artificial neural network model to show that selection for efficient decision-making in cooperative dilemmas can give rise to selection pressures for greater cognitive abilities, and that intelligent strategies can themselves select for greater intelligence, leading to a Machiavellian arms race. Our results provide mechanistic support for the social intelligence hypothesis, highlight the potential importance of cooperative behaviour in the evolution of intelligence and may help us to explain the distribution of cooperation with intelligence across taxa.

  9. Plant intelligence

    Science.gov (United States)

    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

  10. Speech Intelligibility

    Science.gov (United States)

    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.

  11. Intelligent Learning Management Systems: Definition, Features and Measurement of Intelligence

    Science.gov (United States)

    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…

  12. Building social participation with a support group users: challenges of care qualification in a Psychosocial Care Center (CAPS

    Directory of Open Access Journals (Sweden)

    Vitor Corrêa Detomini

    2015-09-01

    Full Text Available The literature points out a lack of studies describing practical experiences approaching the role of social participation, even though, the subject Brazilian Health System (SUS as a principle is valued by theoretical-conceptual works. The lack of studies is especially observed in mental health care services, where the existing studies focus on the users’ management engagement as part of psychosocial rehabilitation. Thus, this article introduces an experience developed in a Center for Psycho-Social Attention (CAPS, in the state of Mato Grosso do Sul, aiming to address the issue of social participation in care qualification, in accordance to legislation and technical standards. Thisstudy focused on two types of sources. 1 Internship Final Report of a Psycology Student including 54 sessions of a support group, 2 technical and legal documents concerning the SUS and the National Mental Health Policy and Humanization. The service aspects were analyzed through technical and legislative foundations - focusing the needs and claims on group discussions, classified as structure and process, used to assess the health care quality. Most concerns were listed on normative Ordinances and Regulations. Achieving social participation was not an institutional premise and, among the main difficulties was the medical/outpatient centered model and the representation of “crazy”/”CAPS users” as incapable. It requires: i integration of “clinic” and “politics”; ii intensification of interdisciplinary and psychological care; iii respect the citizenship of mental health users, and, finally, iv that the collective participation spaces do not exhaust themselves. Therefore, the collective participation spaces need practical recommendations in order to improve the structures and work processes and meet the users’ needs.

  13. U.S. intelligence system: model for corporate chiefs?

    Science.gov (United States)

    Gilad, B

    1991-01-01

    A fully dedicated intelligence support function for senior management is no longer a luxury but a necessity. Companies can enhance their intelligence capabilities by using the government model as a rough blueprint to structure such a program.

  14. Dysfunction Junction: Intelligence, Peacekeeping, and the United Nations

    National Research Council Canada - National Science Library

    Maceda, Steven E

    2007-01-01

    .... The UN, however, lacks the institutional intelligence capacity to provide guidance, high-level assessments, and tactical/operational intelligence support for the over 100,000 peacekeepers around the world...

  15. 1988 Goddard Conference on Space Applications of Artificial Intelligence, Greenbelt, MD, May 24, 1988, Proceedings

    Science.gov (United States)

    Rash, James L. (Editor)

    1988-01-01

    This publication comprises the papers presented at the 1988 Goddard Conference on Space Applications of Artificial Intelligence held at the NASA/Goddard Space Flight Center, Greenbelt, Maryland on May 24, 1988. The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed. The papers in these proceedings fall into the following areas: mission operations support, planning and scheduling; fault isolation/diagnosis; image processing and machine vision; data management; modeling and simulation; and development tools methodologies.

  16. Artificial Intelligence Research Branch future plans

    Science.gov (United States)

    Stewart, Helen (Editor)

    1992-01-01

    This report contains information on the activities of the Artificial Intelligence Research Branch (FIA) at NASA Ames Research Center (ARC) in 1992, as well as planned work in 1993. These activities span a range from basic scientific research through engineering development to fielded NASA applications, particularly those applications that are enabled by basic research carried out in FIA. Work is conducted in-house and through collaborative partners in academia and industry. All of our work has research themes with a dual commitment to technical excellence and applicability to NASA short, medium, and long-term problems. FIA acts as the Agency's lead organization for research aspects of artificial intelligence, working closely with a second research laboratory at the Jet Propulsion Laboratory (JPL) and AI applications groups throughout all NASA centers. This report is organized along three major research themes: (1) Planning and Scheduling: deciding on a sequence of actions to achieve a set of complex goals and determining when to execute those actions and how to allocate resources to carry them out; (2) Machine Learning: techniques for forming theories about natural and man-made phenomena; and for improving the problem-solving performance of computational systems over time; and (3) Research on the acquisition, representation, and utilization of knowledge in support of diagnosis design of engineered systems and analysis of actual systems.

  17. Defense Intelligence: Additional Steps Could Better Integrate Intelligence Input into DODs Acquisition of Major Weapon Systems

    Science.gov (United States)

    2016-11-01

    into its acquisitions; and (3) efforts to develop tools to integrate intelligence into its acquisitions. GAO compared certification and training to...conduct their business , and that the centers currently were not prioritizing, verifying, or balancing the work related to producing intelligence mission...Force, and we observed briefings from the task force to the Acquisition Intelligence Requirements Executive Steering Group. We also compared the

  18. Intelligent spacecraft module

    Science.gov (United States)

    Oungrinis, Konstantinos-Alketas; Liapi, Marianthi; Kelesidi, Anna; Gargalis, Leonidas; Telo, Marinela; Ntzoufras, Sotiris; Paschidi, Mariana

    2014-12-01

    The paper presents the development of an on-going research project that focuses on a human-centered design approach to habitable spacecraft modules. It focuses on the technical requirements and proposes approaches on how to achieve a spatial arrangement of the interior that addresses sufficiently the functional, physiological and psychosocial needs of the people living and working in such confined spaces that entail long-term environmental threats to human health and performance. Since the research perspective examines the issue from a qualitative point of view, it is based on establishing specific relationships between the built environment and its users, targeting people's bodily and psychological comfort as a measure toward a successful mission. This research has two basic branches, one examining the context of the system's operation and behavior and the other in the direction of identifying, experimenting and formulating the environment that successfully performs according to the desired context. The latter aspect is researched upon the construction of a scaled-model on which we run series of tests to identify the materiality, the geometry and the electronic infrastructure required. Guided by the principles of sensponsive architecture, the ISM research project explores the application of the necessary spatial arrangement and behavior for a user-centered, functional interior where the appropriate intelligent systems are based upon the existing mechanical and chemical support ones featured on space today, and especially on the ISS. The problem is set according to the characteristics presented at the Mars500 project, regarding the living quarters of six crew-members, along with their hygiene, leisure and eating areas. Transformable design techniques introduce spatial economy, adjustable zoning and increased efficiency within the interior, securing at the same time precise spatial orientation and character at any given time. The sensponsive configuration is

  19. Do physical environmental changes make a difference? Supporting person-centered care at mealtimes in nursing homes.

    Science.gov (United States)

    Chaudhury, Habib; Hung, Lillian; Rust, Tiana; Wu, Sarah

    2017-10-01

    Purpose Drawing on therapeutic physical environmental design principles and Kitwood's theoretical view of person-centered care, this study examined the impact of environmental renovations in dining spaces of a long-term care facility on residents' mealtime experience and staff practice in two care units. Method The research design involved pre- and post-renovation ethnographic observations in the dining spaces of the care units and a post-renovation staff survey. The objective physical environmental features pre- and post-renovations were assessed with a newly developed tool titled Dining Environment Audit Protocol. We collected observational data from 10 residents and survey responses from 17 care aides and nurses. Findings Based on a systematic analysis of observational data and staff survey responses, five themes were identified: (a) autonomy and personal control, (b) comfort of homelike environment, (c) conducive to social interaction, (d) increased personal support, and (e) effective teamwork. Implications Although the physical environment can play an influential role in enhancing the dining experience of residents, the variability in staff practices reveals the complexity of mealtime environment and points to the necessity of a systemic approach to foster meaningful culture change.

  20. Summary of Stirling Convertor Testing at NASA Glenn Research Center in Support of Stirling Radioisotope Power System Development

    Science.gov (United States)

    Schifer, Nicholas A.; Oriti, Salvatore M.

    2013-01-01

    The NASA Glenn Research Center (GRC) has been testing 100 We class, free-piston Stirling convertors for potential use in Stirling Radioisotope Power Systems (RPS) for space science and exploration missions. Free-piston Stirling convertors are capable of achieving a 38% conversion efficiency, making Stirling attractive for meeting future power system needs in light of the shrinking U.S. plutonium fuel supply. Convertors currently on test include four Stirling Technology Demonstration Convertors (TDCs), manufactured by the Stirling Technology Company (STC), and six Advanced Stirling Convertors (ASCs), manufactured by Sunpower, Inc. Total hours of operation is greater than 514,000 hours (59 years). Several tests have been initiated to demonstrate the functionality of Stirling convertors for space applications, including: in-air extended operation, thermal vacuum extended operation. Other tests have also been conducted to characterize Stirling performance in anticipated mission scenarios. Data collected during testing has been used to support life and reliability estimates, drive design changes and improve quality, and plan for expected mission scenarios. This paper will provide a summary of convertors tested at NASA GRC and discuss lessons learned through extended testing.