WorldWideScience

Sample records for deployable intelligence support

  1. Intelligent transportation infrastructure deployment analysis system

    Energy Technology Data Exchange (ETDEWEB)

    Rathi, A.K. [Oak Ridge National Lab., TN (United States); Harding, J.A. [Federal Highway Administration, McLean, VA (United States)

    1997-02-01

    Much of the work on Intelligent Transportation Systems (ITS) to date has emphasized technologies, standards/protocols, architecture, user services, core infrastructure requirements, and various other technical and institutional issues. ITS implementations in the United States and elsewhere in the world have demonstrated benefits in the areas of safety, productivity, efficiency, and environmental impact. However, quantitative benefits and satisfactory cost estimates are not available or cannot be derived for many components of the ITS, whether deployed individually or in some integrated fashion. The limitations of existing analysis and evaluation capabilities coupled with the lack of strong empirical evidence presents a major knowledge and data gap for infrastructure investment decisions involving ITS alternatives. This paper describes the over-arching issues and requirements associated with the analysis capabilities required for a systematic, faithful, and rigorous evaluation of the impacts of deploying ITS in a metropolitan area. It then describes the conceptual framework of a modeling system that will provide a preliminary analysis capability to support ITS deployment analysis and evaluation.

  2. Strategic Sealift Supporting Army Deployments

    Science.gov (United States)

    2016-06-10

    STRATEGIC SEALIFT SUPPORTING ARMY DEPLOYMENTS A thesis presented to the Faculty of the U.S. Army Command and General Staff...THOMPSON, MAJ, US ARMY BFA, Louisiana Tech University, Ruston, Louisiana, 1994 Fort Leavenworth, Kansas 2016 Approved for...Strategic Sealift Supporting Army Deployments 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) Matthew

  3. 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....

  4. Security Support in Continuous Deployment Pipeline

    DEFF Research Database (Denmark)

    Ullah, Faheem; Raft, Adam Johannes; Shahin, Mojtaba

    2017-01-01

    Continuous Deployment (CD) has emerged as a new practice in the software industry to continuously and automatically deploy software changes into production. Continuous Deployment Pipeline (CDP) supports CD practice by transferring the changes from the repository to production. Since most of the C...

  5. Self-Deploying Gossamer Support Structure Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Phase I results demonstrated the feasibility of using shape memory polymer composites to deploy, tension and support gossamer antennas. Cornerstone Research Group,...

  6. Deployment support leading to implementation

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-11-01

    This quarterly report discusses progress on the following tasks and subtasks: (Task 1)--Field demonstration of prefabricated vertical drains (PVD) technology: Subtask 1.1--Pilot scale demonstration of TCE flushing through PVDs at the DOE/RMI Extrusion Plant; Subtask 1.2--Technical support on surfactants and QA/QC for field operations employing PVDs at the RMI Ashtabula, Ohio, site; Subtask 1.3--Operational support of the PVDs and engineering/design/construction/operations of a wastewater treatment plant for extracted fluids; Subtask 1.4--Installation of PVDs at the RMI Ashtabulah, Ohio, site; and Subtask 1.5--Removal of surfactants and trichloroethylene (TCE) from extracted groundwater at the RMI Ashtabula, Ohio, site; (Task 2)--Watershed economics and overview studies; and (Task 3)--Project management.

  7. Deployment Support Leading to Implementation

    Energy Technology Data Exchange (ETDEWEB)

    Cook, E E

    1997-10-01

    cause lateral distribution of the water. The large tank that accommodates the sand bed and the necessary plumbing to simulate various well configurations was received. The monitoring equipment and the sensors are currently being installed. The experimental procedures for Phase II experiments are under further investigation and will be initiated upon installation of CATC and assembly of the monitoring system. Due to insufficient operating funds, the large scale experiments will not be done this year. Task No. 1.3: Technical Support - Development of Standard Test Protocols and Barrier Design Models for In Situ Formed Barriers (B. Overbey & D. Locke, BDM Federal): The Operating Permit Renewal Request for bench scale operations in the FETC B-17 building was submitted to the FETC Lab Safety Committee for approval on 8/14/97. A review of the revised NEPA documents prepared last year indicates that these documents are still applicable for the current work. The initial design and specifications for the CATC vessel were prepared. Construction of the CATC was initiated in early July, the vessel was received August 15, 1997, and on-site work was completed this quarter.

  8. 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…

  9. 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.

  10. Development of a Techno-economic Model of Intelligent Transportation System (ITS) for Deployment in Ghana

    DEFF Research Database (Denmark)

    Adjin, Daniel Michael Okwabi; Tadayoni, Reza

    2011-01-01

    The concept of Intelligent Transportation System (ITS) is about the development and deployment of advanced Traffic Management Systems, Traveler Information Systems, Commercial Vehicle Operations, Public and Private Transportation Systems, and Rural Transportation Systems. Several key technologies....... The results show that deployment of Intelligent Vehicle Tracking Technology (IVTT) will address the problems of inefficiencies experienced in the Ghanaian road transport haulage tracking industry. Research for ITS development and eployment in these countries should be cost effective....

  11. Benchmarking promotion and deployment activities regarding intelligent vehicle safety systems in the EU

    NARCIS (Netherlands)

    Kievit, M. de; Malone, K.M.; Zwijnenberg, H.; Arem, B. van

    2008-01-01

    This paper presents the results of a Benchmarking study performed in the European Union on Awareness and Promotion & Deployment activities related to Intelligent Vehicle Safety (IVS) systems (1). The study, commissioned by the European Commission under the Intelligent Car Initiative (a i2010 flagshi

  12. Intelligence Support to Supply Chain Risk Management

    Science.gov (United States)

    2012-06-01

    59 Appendix A - Intelligence Support Storyboard ...plant in New Mexico . This plant was the sole producer of a microchip used in one of Ericsson’s key consumer 16 products and as a result of the...system supply chains. 60 Appendix A - Intelligence Support Storyboard Air University: The Intellectual and Leadership Center of the Air Force

  13. Deploying an Intelligent Pairing Assistant for Air Operation Centers

    Science.gov (United States)

    2016-06-23

    intelligent systems: the double-edged sword of explanations. In Proceedings of IUI ’11, 125-134. ACM , New York, NY. Gervasio, M.T., Moffitt, M.D., Pollak... ACM , New York, NY. Glass, A., McGuinness, D.L., & Wolverton, M. (2008). Toward establishing trust in adaptive agents. In Proceedings of IUI 󈧌, 227...236. ACM , New York, NY. Gregor, S. and Benbasat, I. (1999). Explanations From Intelligent Systems: Theoretical Foundations and Implications for

  14. Educators Supporting Families in Times of Crisis: Military Reserve Deployments

    Science.gov (United States)

    Harrison, Judy; Vannest, Kimberly J.

    2008-01-01

    With the large number of National Guard members and reservists being deployed to Iraq and Afghanistan, public educators find themselves endeavoring to support the emotional and academic needs of military children and their families. Military children may exhibit behavioral and emotional difficulties during these deployments. Educator awareness of…

  15. Intelligence Support to Urban Operations

    Science.gov (United States)

    2015-12-01

    in and around urban environments are toxic industrial materials. These include such materials as aviation fuel, pesticides , ammonia, chlorine...the urban environment :  Restricted or limited landing zones and pickup zones.  Increased tower, antenna, and wire hazards.  Foreign object damage ...Chapter 1 INTELLIGENCE AND THE URBAN ENVIRONMENT ....................................... 1-1 Overview

  16. ICT Solutions to Support EV Deployment

    DEFF Research Database (Denmark)

    Pedersen, Anders Bro; Andersen, Peter Bach; Skov Johansen, Joachim

    2013-01-01

    to renewable energy production. If these possibilities are considered and supported by information and communication technologies (ICT) in due time, a large potential can be exploited. Specifically, the protocols and technologies spanning the open system interconnection stack need to support the various...

  17. Supporting the Secure Deployment of OSGi Bundles

    OpenAIRE

    Parrend, Pierre; Frénot, Stéphane

    2007-01-01

    International audience; The OSGi platform is a lightweight management layer over a Java virtual machine that makes runtime extensi- bility and multi-application support possible in mobile and constraint environments. This powerfull capability opens a particular attack vector against mobile platforms: the in- stallation of malicious OSGi bundles. The first countermea- sure is the digital signature of the bundles. We developed a tool suite that supports the signature, the publication and the va...

  18. Re-engineering organizations for optimal deployment of smart materials and intelligent devices in civil infrastructure

    Science.gov (United States)

    El-Diraby, Tamer E.; Beheshti, Arzhang

    2002-06-01

    Smart materials and intelligent devices are promising to revolutionize data collection in civil infrastructure. However, their application has so far been very limited in scope. So far, there is no comprehensive mechanisms to integrate data generated by smart materials and intelligent devices into the overall IT systems of user organizations. This article outlines a framework for reengineering organizations for optimal utilization of smart materials and intelligent devices in the infrastructure development domain. The aim is to integrate data collection and management into the organizational culture. The framework includes three basic modules: assessing current practice, identifying level of deployment, and defining the needed actions.

  19. Cultural intelligence support for military operations

    Energy Technology Data Exchange (ETDEWEB)

    Guthormsen, Amy M. [Los Alamos National Laboratory; MacKerrow, Edward P [Los Alamos National Laboratory; Merritt, Terence M [Los Alamos National Laboratory; Morgart, Ruth E [INTERNATIONAL ATOMIC ENERGY

    2010-04-08

    It has long been recognized that military success relies on knowledge of the enemy. In the context of standard warfare, adequate knowledge of the enemy may be gained by analyzing observable, measurable data. In the context of modern counterinsurgency operations and the global war on terror, the task of predicting the behavior of the enemy is vastly more complex and difficult. Without an understanding of the ways individuals in the host nation interpret and react to events, no amount of objective information can provide the insight required to accurately predict behavior. US military doctrine has begun to recognize the importance of the many ways that local culture can affect operation success. Increasingly military decision makers use cultural information in the service of operation planning, and troops are provided with pre-deployment cultural training. However, no amount of training can cover the breadth and depth of potentially useful cultural information, and no amount of careful planning can avoid the need to adapt as situations develop. Therefore, a critical challenge is to provide useful tools to US personnel in their efforts to collect, analyze, and utilize cultural information. Essential functions for cultural support tools include the following: (1) to narrow down a broad range of available data and focus the user's attention on context-relevant information, (2) to present cultural information in an easily understood form, (3) to prompt the user to seek relevant information in the environment, (4) to synthesize information, and (5) to predict outcomes based on possible courses of operation. In this paper, we begin by reviewing the ways in which military operations can benefit from cultural intelligence. We then discuss frameworks for analyzing cultural information in the context of a military operation. We conclude with a demonstration of our current efforts to develop a tool that meets the aforementioned functional challenges.

  20. 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...

  1. Intelligent Flight Support System (IFSS): A Real-time Intelligent Decision Support Prototype Project

    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...

  2. Fiber-Optic Shape Sensing for Intelligent Solar Sail Deployment Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Luna Innovations proposes to develop a distributed fiber-optic shape sensor to provide a control system for the deployment of ultra-lightweight inflatable support...

  3. 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

  4. 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)

  5. An intelligent surveillance platform for large metropolitan areas with dense sensor deployment.

    Science.gov (United States)

    Fernández, Jorge; Calavia, Lorena; Baladrón, Carlos; Aguiar, Javier M; Carro, Belén; Sánchez-Esguevillas, Antonio; Alonso-López, Jesus A; Smilansky, Zeev

    2013-06-07

    This paper presents an intelligent surveillance platform based on the usage of large numbers of inexpensive sensors designed and developed inside the European Eureka Celtic project HuSIMS. With the aim of maximizing the number of deployable units while keeping monetary and resource/bandwidth costs at a minimum, the surveillance platform is based on the usage of inexpensive visual sensors which apply efficient motion detection and tracking algorithms to transform the video signal in a set of motion parameters. In order to automate the analysis of the myriad of data streams generated by the visual sensors, the platform's control center includes an alarm detection engine which comprises three components applying three different Artificial Intelligence strategies in parallel. These strategies are generic, domain-independent approaches which are able to operate in several domains (traffic surveillance, vandalism prevention, perimeter security, etc.). The architecture is completed with a versatile communication network which facilitates data collection from the visual sensors and alarm and video stream distribution towards the emergency teams. The resulting surveillance system is extremely suitable for its deployment in metropolitan areas, smart cities, and large facilities, mainly because cheap visual sensors and autonomous alarm detection facilitate dense sensor network deployments for wide and detailed coverage.

  6. An Intelligent Surveillance Platform for Large Metropolitan Areas with Dense Sensor Deployment

    Directory of Open Access Journals (Sweden)

    Jesus A. Alonso-López

    2013-06-01

    Full Text Available This paper presents an intelligent surveillance platform based on the usage of large numbers of inexpensive sensors designed and developed inside the European Eureka Celtic project HuSIMS. With the aim of maximizing the number of deployable units while keeping monetary and resource/bandwidth costs at a minimum, the surveillance platform is based on the usage of inexpensive visual sensors which apply efficient motion detection and tracking algorithms to transform the video signal in a set of motion parameters. In order to automate the analysis of the myriad of data streams generated by the visual sensors, the platform’s control center includes an alarm detection engine which comprises three components applying three different Artificial Intelligence strategies in parallel. These strategies are generic, domain-independent approaches which are able to operate in several domains (traffic surveillance, vandalism prevention, perimeter security, etc.. The architecture is completed with a versatile communication network which facilitates data collection from the visual sensors and alarm and video stream distribution towards the emergency teams. The resulting surveillance system is extremely suitable for its deployment in metropolitan areas, smart cities, and large facilities, mainly because cheap visual sensors and autonomous alarm detection facilitate dense sensor network deployments for wide and detailed coverage.

  7. Misconceptions about emotional intelligence: Deploying emotional intelligence in one’s life dimensions

    Directory of Open Access Journals (Sweden)

    Anobé Badenhorst

    2007-07-01

    Full Text Available Emotional intelligence (EI has become a buzz-word over the past ten years, yet misconceptions with regard to the concept abound. This leads to confusion among the general public, the scientific community, as well as to unfounded claims being made as to what the development of EI can accomplish in a person’s life. In this article the aim is to clarify the concept EI by making a sharper demarcation between the Emotional Life Dimension and the other life dimensions. Based on this clarification, the conceptualisation of EI in the literature is reviewed in more depth.

  8. Supporting the Development of Emotional Intelligence through Technology.

    Science.gov (United States)

    Goldsworthy, Richard

    2002-01-01

    Explains emotional intelligence, traces its history, and proposes a framework for the design and development of technology-based instruction for emotional intelligence that will be used to elucidate potential uses of computer technology to support the development of emotional intelligence. Reviews the literature related to computers and emotional…

  9. Deploying swarm intelligence in medical imaging identifying metastasis, micro-calcifications and brain image segmentation.

    Science.gov (United States)

    al-Rifaie, Mohammad Majid; Aber, Ahmed; Hemanth, Duraiswamy Jude

    2015-12-01

    This study proposes an umbrella deployment of swarm intelligence algorithm, such as stochastic diffusion search for medical imaging applications. After summarising the results of some previous works which shows how the algorithm assists in the identification of metastasis in bone scans and microcalcifications on mammographs, for the first time, the use of the algorithm in assessing the CT images of the aorta is demonstrated along with its performance in detecting the nasogastric tube in chest X-ray. The swarm intelligence algorithm presented in this study is adapted to address these particular tasks and its functionality is investigated by running the swarms on sample CT images and X-rays whose status have been determined by senior radiologists. In addition, a hybrid swarm intelligence-learning vector quantisation (LVQ) approach is proposed in the context of magnetic resonance (MR) brain image segmentation. The particle swarm optimisation is used to train the LVQ which eliminates the iteration-dependent nature of LVQ. The proposed methodology is used to detect the tumour regions in the abnormal MR brain images.

  10. Rich: Region-based Intelligent Cluster-Head Selection and Node Deployment Strategy in Concentric-based WSNs

    Directory of Open Access Journals (Sweden)

    FAN, C.-S.

    2013-11-01

    Full Text Available In a random deployment, sensor nodes are scattered randomly in the sensing field. Hence, the coverage can not be guaranteed. In contrast, the coverage of uniformly deployment is in general larger than the random deployment. However, uniformly deployment strategy may cause unbalanced traffic pattern in wireless sensor networks (WSNs. In this situation, larger load may be imposed to CHs (cluster heads around the sink. Therefore, CHs close to the sink use up their energy earlier than those farther away from the sink. To overcome this problem, we propose a novel node deployment strategy in the concentric model, namely, Region-based Intelligent Cluster-Head selection and node deployment strategy (called Rich. The coverage, energy consumption and data routing issues are well investigated and taken into consideration in the proposed Rich scheme. The simulation results show that the proposed Rich alleviates the unbalanced traffic pattern significantly, prolongs network lifetime and achieves satisfactory coverage ratio.

  11. Supporting Military Families with Young Children throughout the Deployment Lifecycle

    Science.gov (United States)

    2016-10-01

    deployments. Prolonged separation can constitute a developmental crisis for babies, toddlers and preschool -aged children, although the homefront parent...prevention) with a new population (families with young children). Necessarily, staff and clinicians are acquiring new expertise in child development ...resilience and child well-being, Soldier and non-deploying parents must successfully meet the challenges of caregiving throughout the deployment cycle

  12. Business intelligence as support to knowledge management

    Directory of Open Access Journals (Sweden)

    Jelica Trninic

    2011-08-01

    Full Text Available Knowledge management is becoming an increasingly important business resource not only in the development and innovation process, but also in securing an organization’s competitiveness and survival in the environment. In view of the fact that there is no full consent as regards adopting a universal definition, knowledge management can be regarded as a concept encompassing methods of simplifying, enhancing, sharing, distributing and creating knowledge within an organization. The dominant approach of contemporary business operations is based on business intelligence, which, including Data Warehouse as its integral part, represents a highly significant component in knowledge management. As the application of information technologies provides the key support in conducting all business activities, from operative to highly complex ones, this article considers the significance and functional application of data warehouses in the knowledge management system.

  13. The Intelligence Gathering Activity in Peace Support Operations

    Science.gov (United States)

    2010-04-01

    sources intelligence ( OSINT ), and synthesize it with human and technical sources to create a holistic perspective at the strategic, tactical, and...from all the major actors of the area: Iran, Syria, Israel, Egypt , Jordan, and Palestine. The peacekeeping force that was deployed into this chaos was

  14. Intelligence Support for the F-35A Lightning II

    Science.gov (United States)

    2016-01-01

    106 | Air & Space Power Journal Intelligence Support for the F-35A Lightning II Capt Stephanie Anne Fraioli, USAF Disclaimer: The views and opinions...the first joint fifth-generation fighter aircraft; there-fore, the Air Force, Navy, and Marine Corps need to codify the requirements for intelligence ...support to fifth-generation airframes. Making informed deci- sions necessitates an operational understanding of current intelligence gaps, short

  15. Supporting Military Families with Young Children throughout the Deployment Lifecycle

    Science.gov (United States)

    2015-10-01

    parent can be overwhelmed with the additional responsibilities during deployment, and may experience chronic worry about the deployed parent’s safety...DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response ...demands on families. Approximately 43% of the Total Forces are parents and two million children have experienced parental deployment. Of these children, 42

  16. MOIDSS?- Mobile Online Intelligent Decision Support System Project

    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...

  17. ICT-Supported Gaming for Competitive Intelligence

    NARCIS (Netherlands)

    Achterbergh, J.M.I.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 fo

  18. ICT-Supported Gaming for Competitive Intelligence

    NARCIS (Netherlands)

    Achterbergh, J.M.I.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 fo

  19. Keeping engaged during deployment : The interplay between self-efficacy, family support, and threat exposure

    NARCIS (Netherlands)

    Delahaij, R.; Kamphuis, W.; Berg, C.E. van den

    2016-01-01

    This study investigated the importance of 2 resilience resources for service members’ ability to deal with threat during deployment. Military self-efficacy and family support were measured before deployment and related to work engagement and burnout levels of service members during deployment. We hy

  20. Banking Intelligence Accelerator – Decision Support

    Directory of Open Access Journals (Sweden)

    Adrian MUNTEANU

    2012-08-01

    Full Text Available Along with the development of information technology, Business Intelligence plays an important role in banking operation process. Business Intelligence in banking sector is a method of storing and presenting key bank business data so that any key user can quickly and easily ask questions of accurate and timely data. The growing competition and increased speed of business changes has dramatically shown the need for business intelligence in banking sector. In this paper, we analyze the business intelligence components, how they fit the banking sector and how they can be secured to match the framework of the whole banking information system. Having the decision process analyzed in the banking field, we propose an architectural model to sustain the decision and integrate easily in the complex banking environment.

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

    Directory of Open Access Journals (Sweden)

    Annamaria eDi Fabio

    2015-04-01

    Full Text Available 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 emotional intelligence to social support, beyond the effects of fluid intelligence and personality traits. The Advanced Progressive Matrices (APM, the Big Five Questionnaire (BFQ, the Mayer Salovey Caruso Emotional Intelligence test (MSCEIT, and the Multidimensional scale of Perceived Social Support (MSPSS 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 emotional intelligence in relation to perceived social support. Since ability based emotional intelligence can be increased through specific training, the results of the present study highlight new possibilities for research and intervention in a preventive framework.

  2. 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.

  3. 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...

  4. Designing Growth Strategies for Romanian Offshore Outsourcing Vendors: Deploying Competitive Intelligence from Indian Software Industry

    Directory of Open Access Journals (Sweden)

    Mukta SAMTANI

    2012-11-01

    Full Text Available The paper aims to derive growth strategies for three Romanian software developers involved in offshore outsourcing, by deploying competitive intelligence on the top offshore players from India. The paper revolves around two key assumptions. One is that Romanian companies are growing the way Indian companies did few years ago and so it would be important to analyse the strategies that they had adopted to reach their present potential. Second, there is a set of factors common to all industry players whether in India or Romania as the industry is global in nature, so it would really be important to collect information about how are these global competitors planning to mitigate the environmental threats and to take advantage of the opportunities being presented by the changes in the external environment. For the three Romanian companies whose managers accepted to be included in our study, the main strategic option they want to pursue is market penetration. Taking cue from the strategies adopted by their Indian counterparts, the study recommends growth strategies for these Romanian players.

  5. 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.

  6. 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...

  7. Reintegration After Deployment: Supporting Citizen Warriors and Their Families

    Science.gov (United States)

    2013-01-01

    families. Achieving Reintegration Success RAND researchers administered a survey and conducted interviews with service members and spouses. The...responses indicated that families with successful reintegration experiences share common traits. These families felt ready for deployment, had good...Department of Defense (DoD) can use these findings to empower families to be active, effective architects of their own reintegration success . Doing so is

  8. Policies to Support Wind Power Deployment: Key Considerations and Good Practices

    Energy Technology Data Exchange (ETDEWEB)

    Cox, Sadie [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Tegen, Suzanne [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Baring-Gould, Ian [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Oteri, Frank A. [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Esterly, Sean [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Forsyth, Trudy [Wind Advisors Team, Golden, CO (United States); Baranowski, Ruth [High Desert Technical Communications LLC, Crestone, CO (United States)

    2015-05-19

    Policies have played an important role in scaling up wind deployment and increasing its economic viability while also supporting country-specific economic, social, and environmental development goals. Although wind power has become cost-competitive in several contexts, challenges to wind power deployment remain. Within the context of country-specific goals and challenges, policymakers are seeking

  9. Sttudy on intelligent spatial decision support system of agriculture

    Institute of Scientific and Technical Information of China (English)

    ZHANG Rong-mei; SUN Jie-li

    2006-01-01

    This paper studies how to apply GIS, ES, and Data mining and WEB technologies in agriculture Decision Support System, with the researching background of Hebei expert system for farming soil variable rate fertilization. A model of agriculture intelligent spatial decision support system is built and the key technologies to implement this system are described in details.

  10. SCOPE : an intelligent maintenance system for supporting crew operations

    NARCIS (Netherlands)

    Bos, A.; Breebaart, L.; Neerincx, M.A.; Wolff, M.

    2004-01-01

    This paper describes an intelligent maintenance system for Supporting Crew OPErations (SCOPE). SCOPE supports the astronauts onboard the ISS and helps them to maximize the availability of complex payload systems. SCOPE detects system failures, guides the isolation of the root causes of failure, and

  11. Teacher Assistant Support and Deployment in Mainstream Schools

    Science.gov (United States)

    Butt, Rosemary

    2016-01-01

    Models of support for students with disability and learning difficulties in mainstream classes in Australia rely extensively on teacher assistants (TAs). Current models, however, inadvertently perpetuate low expectations because providing TA support can be one of the most restrictive supports offered in a school [Giangreco, M. F. 2010a.…

  12. High-Temperature Superconductors as Electromagnetic Deployment and Support Structures in Spacecraft Project

    Data.gov (United States)

    National Aeronautics and Space Administration — This technique uses the magnetic fields from current passing through coils of high-temperature superconductors (HTSs) to support spacecraft structures and deploy...

  13. 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...

  14. 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.

  15. EXODUS: Integrating intelligent systems for launch operations support

    Science.gov (United States)

    Adler, Richard M.; Cottman, Bruce H.

    1991-01-01

    Kennedy Space Center (KSC) is developing knowledge-based systems to automate critical operations functions for the space shuttle fleet. Intelligent systems will monitor vehicle and ground support subsystems for anomalies, assist in isolating and managing faults, and plan and schedule shuttle operations activities. These applications are being developed independently of one another, using different representation schemes, reasoning and control models, and hardware platforms. KSC has recently initiated the EXODUS project to integrate these stand alone applications into a unified, coordinated intelligent operations support system. EXODUS will be constructed using SOCIAL, a tool for developing distributed intelligent systems. EXODUS, SOCIAL, and initial prototyping efforts using SOCIAL to integrate and coordinate selected EXODUS applications are described.

  16. 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...

  17. 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.

  18. Telephone Support During Overseas Deployment for Military Spouses

    Science.gov (United States)

    2015-04-01

    depression, and coping. 15. SUBJECT TERMS Spouses, social support, stress disorders, communication, combat disorders 16. SECURITY CLASSIFICATION OF: 17...chronic schizophrenia caregivers 7 Supporting Parent Caregivers of Injured Veterans – VA HSR&D Specific Aims This randomized clinical trial will...test a behavioral caregiving intervention that has been used successfully for dementia and SCI/D caregivers to provide services to stressed and

  19. 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.

  20. 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.

  1. USDA Research in Support of Deployed Military Troops

    Science.gov (United States)

    The US Department of Agriculture has a long history of collaborating with the US military to conduct research in support of war efforts. The predecessor laboratory of the current USDA-ARS Center for Medical, Agricultural and Veterinary Entomology (CMAVE) located in Gainesville, Florida has a history...

  2. 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...

  3. Telephone Support During Overseas Deployment for Military Spouses

    Science.gov (United States)

    2014-04-01

    distress, loneliness , anticipatory fear or grief, somatic complaints, and depression. The goal is to help spouses learn ways to manage stress and...distress, loneliness , anticipatory fear or grief, somatic complaints, and depression. Spouses may also be stressed by single-parenting, learning...or chi-square tests as appropriate to compare study arms Support and Webinar. b N = 102 and n = 49, 53 respectively. This scale is only assessed

  4. Intelligent Hierarchical Modal Control of a Novel Manipulator with Slewing and Deployable Links

    Science.gov (United States)

    Modi, V. J.; Zhang, J.; de Silva, C. W.

    between the crisp controller, which regulates the servomotors at the bottom layer, and the knowledge-based controller at the top layer. The third uppermost layer of the control system has the knowledge-base and inference engine to make decisions, which achieve the overall control objective, particularly by improving the performance of low-level direct control. This layer can serve such functions as monitoring the performance of the overall system, assessment of the quality of operation, tuning of the low-level direct controller, and general supervisory control. In this layer, there is a high degree of information fuzziness and a relatively low control bandwidth. 3. Typical Simulation Results This hierarchical control system is used to suppress vibrations of the manipulator with flexible joint and links as well as supported by a flexible orbiting platform. The effectiveness of the control system is assessed through simulation studies by investigating how the vibrations caused by different initial disturbances are suppressed. The resutls showed that when regulated by the hieraicyical controller, the joint vibrations were eliminated much faster than that by the LQR. The hierauchical control system was found to reduce the amplitude of the vibraiton significantly in comparison with those by the LQR. [1]Nagata, T., Modi, V. J., and Matsuo, H., " An Approach to Dynamics and Control of Flexible Systems", Collection [2]Caron, M., " Planar Dynamics and Control of Space-Based Flexible Manipulators with Slewing and Deployable [3]Chu, M. S. T., " Design, Construction and Operation of a Variable Geometry Manipulator", M. A. Sc. Thesis, The

  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 apredi

  6. 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 apredi

  7. 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

  8. High-Temperature Superconductors as Electromagnetic Deployment and Support Structures in Spacecraft. [NASA NIAC Phase I

    Science.gov (United States)

    Getliffe, Gwendolyn V.; Inamdar, Niraj K.; Masterson, Rebecca; Miller, David W.

    2012-01-01

    This report, concluding a one-year NIAC Phase I study, describes a new structural and mechanical technique aimed at reducing the mass and increasing the deployed-to-stowed length and volume ratios of spacecraft systems. This technique uses the magnetic fields generated by electrical current passing through coils of high-temperature superconductors (HTSs) to support spacecraft structures and deploy them to operational configurations from their stowed positions inside a launch vehicle fairing.

  9. Evolution towards a Cloud Deployed Business Support System

    Directory of Open Access Journals (Sweden)

    Ioan DRAGAN

    2015-01-01

    Full Text Available Although less known outside strictly specialized environments, Business Support Systems (BSS are highly complex and the subject of their installation in cloud implementations is less addressed. This paper presents a short history of BSS evolution, starting from basic voice and messaging services and ending up to 4G and M2M services, presenting new features and their new challenges. Moreover, we present, as a baseline for future developments, a study based on direct interviews with representatives of telecom operators about their vision of possible future BSS solutions depending on the services they will provide. This area of investigation has a certain number of challenges that require collaboration between providers and operators; in this context, we have been established a framework of requirements which will be handled and studied individually.

  10. Towards Intelligent Dynamic Deployment of Mobile Sensors in Complex Resource-Bounded Environments

    Energy Technology Data Exchange (ETDEWEB)

    Ng, B M; Hanley, W G

    2007-05-08

    Decision-making in the face of uncertainty requires an understanding of the probabilistic mechanisms that govern the complex behavior of these systems. This issue applies to many domains: financial investments, disease control, military planning and homeland security. In each of these areas, there is a practical need for efficient resource-bounded reasoning capabilities to support optimal decision-making. Specifically, given a highly complex system, with numerous random variables and their dynamic interactions, how do we monitor such a system and detect crucial events that might impact our decision making process? More importantly, how do we perform this reasoning efficiently--to an acceptable degree of accuracy in real time--when there are only limited computational power and sensory capabilities? These questions encapsulate nontrivial key issues faced by many high-profile Laboratory missions: the problem of efficient inference and dynamic sensor deployment for risk/uncertainty reduction. By leveraging solid ideas such as system decomposition into loosely coupled subsystems and smart resource allocation among these subsystems, we can parallelize inference and data acquisition for faster and improved computational performance. In this report, we propose technical approaches for developing algorithmic tools to enable future scientific and engineering endeavors to better achieve the optimal use of limited resources for maximal return of information on a complex system. The result of the proposed research effort will be an efficient reasoning framework that would enable mobile sensors to work collaboratively as teams of adaptive and responsive agents, whose joint goal is to gather useful information that would assist in the inference process.

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

    Science.gov (United States)

    2012-06-08

    DoD.298 This section also required the intelligence training program to include “cross pollination ,” that is having an intelligence agencies......also acknowledged the National Drug Intelligence Center as the principal center for strategic intelligence on drug activity, which infers a support

  12. Safe and Effective Deployment of Personnel to Support the Ebola Response - West Africa.

    Science.gov (United States)

    Rouse, Edward N; Zarecki, Shauna Mettee; Flowers, Donald; Robinson, Shawn T; Sheridan, Reed J; Goolsby, Gary D; Nemhauser, Jeffrey; Kuwabara, Sachiko

    2016-07-08

    From the initial task of getting "50 deployers within 30 days" into the field to support the 2014-2016 Ebola virus disease (Ebola) epidemic response in West Africa to maintaining well over 200 staff per day in the most affected countries (Guinea, Liberia, and Sierra Leone) during the peak of the response, ensuring the safe and effective deployment of international responders was an unprecedented accomplishment by CDC. Response experiences shared by CDC deployed staff returning from West Africa were quickly incorporated into lessons learned and resulted in new activities to better protect the health, safety, security, and resiliency of responding personnel. Enhanced screening of personnel to better match skill sets and experience with deployment needs was developed as a staffing strategy. The mandatory predeployment briefings were periodically updated with these lessons to ensure that staff were aware of what to expect before, during, and after their deployments. Medical clearance, security awareness, and resiliency programs became a standard part of both predeployment and postdeployment activities. Response experience also led to the identification and provision of more appropriate equipment for the environment. Supporting the social and emotional needs of deployed staff and their families also became an agency focus for care and communication. These enhancements set a precedent as a new standard for future CDC responses, regardless of size or complexity.The activities summarized in this report would not have been possible without collaboration with many U.S and international partners (http://www.cdc.gov/vhf/ebola/outbreaks/2014-west-africa/partners.html).

  13. Deployment-related mental health support: comparative analysis of NATO and allied ISAF partners

    Directory of Open Access Journals (Sweden)

    Eric Vermetten

    2014-08-01

    members. Conclusion: This analysis demonstrated that in all five partners state-of-the-art preventative mental healthcare was included in the last deployment in Afghanistan, including a positive approach towards strengthening the mental resilience, a focus on self-regulatory skills and self-empowerment, and several initiatives that were well-integrated in a military context. These initiatives were partly/completely implemented by the military/colleagues/supervisors and applicable during several phases of the deployment cycle. Important new developments in operational mental health support are recognition of the role of social leadership and enhancement of operational peer support. This requires awareness of mental problems that will contribute to reduction of the barriers to care in case of problems. Finally, comparing mental health support services across countries can contribute to optimal preparation for the challenges of military deployment.

  14. Intelligence is as intelligence does: can additional support needs replace disability?

    Science.gov (United States)

    Arnold, Samuel R C; Riches, Vivienne C; Stancliffe, Roger J

    2011-12-01

    Abstract In many developed cultures there is an assumption that IQ is intelligence. However, emerging theories of multiple intelligences, of emotional intelligence, as well as the application of IQ testing to other cultural groups, and to people with disability, raises many questions as to what IQ actually measures. Despite recent research that shows IQ testing produces a floor effect when applied to people with lower IQ, as well as research that shows the Flynn effect also applies to people with lower IQ, in practice IQ scores below a certain cut-off are still being used to determine and classify a person's intellectual disability. However, a new paradigm is emerging, almost returning to the original intent of Binet, where measurement is made of the supports the person needs. In this paper, we argue that if one extends the notions of this supports paradigm that diagnosis of intellectual or physical disability could potentially be replaced by diagnosis of additional intellectual support needs, or additional physical support needs.

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

    OpenAIRE

    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 emotional support, we propose a domain-independent conversational model that is based on topics suggested by cognitive appraisal theories of emotion and the 5-phase model that is used to structure onl...

  16. 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.

  17. A Cooperative Intelligent Decision Support System for Contingency Management

    Directory of Open Access Journals (Sweden)

    Abdelkader ADLA

    2006-01-01

    Full Text Available Traditional Decision Support Systems (DSS give not enough possibilities of intervention to the user. These systems are reduced to an insular and very technical state in which the objective is not support decision but to dump data on the screen in the hope that the user will know what to do with. In complex situations, decision is not structured and it becomes primordial to design intelligent and cooperative systems allowing a joint resolution of problem based on dynamic sharing of the tasks between the user and the system and according to problems to be solved. In this perspective, we propose a cooperative architecture for intelligent decision support system. The framework embeds expert knowledge within the DSS to provide intelligent DSS using collaboration technologies by putting the decision maker effectively in the loop of the decision process. To this end, we used a structure based on domain and task conceptual modelling. Applicability and relevance of this model are illustrated through a case study where the system and the operator cooperate in decision problem which consists of identifying boiler defects, diagnosing and suggesting actions of cure.

  18. The Challenge of Wireless Connectivity to Support Intelligent Mines

    DEFF Research Database (Denmark)

    Barbosa, Viviane S. B.; Garcia, Luis G. U.; Portela Lopes de Almeida, Erika;

    2016-01-01

    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...... 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...... Mobile Radio narrowband systems and mandates the deployment of broadband systems. Furthermore, the (data) traffic requirements of a mine also vary in time as the fleet expands. Additionally, wireless networks are planned according to the characteristics of the scenario in which they will be deployed...

  19. Modelling force deployment from army intelligence using the transportation system capability (TRANSCAP) model : a standardized approach.

    Energy Technology Data Exchange (ETDEWEB)

    Burke, J. F., Jr.; Love, R. J.; Macal, C. M.; Decision and Information Sciences

    2004-07-01

    Argonne National Laboratory (Argonne) developed the transportation system capability (TRANSCAP) model to simulate the deployment of forces from Army bases, in collaboration with and under the sponsorship of the Military Transportation Management Command Transportation Engineering Agency (MTMCTEA). TRANSCAP's design separates its pre- and post-processing modules (developed in Java) from its simulation module (developed in MODSIM III). This paper describes TRANSCAP's modelling approach, emphasizing Argonne's highly detailed, object-oriented, multilanguage software design principles. Fundamental to these design principles is TRANSCAP's implementation of an improved method for standardizing the transmission of simulated data to output analysis tools and the implementation of three Army deployment/redeployment community standards, all of which are in the final phases of community acceptance. The first is the extensive hierarchy and object representation for transport simulations (EXHORT), which is a reusable, object-oriented deployment simulation source code framework of classes. The second and third are algorithms for rail deployment operations at a military base.

  20. The Intelligent Decision Support System Model of SARS

    Institute of Scientific and Technical Information of China (English)

    ZhouXingyu; ZhangJiang; LiuYang; XieYanqing; ZhangRan; ZhaoYang; HeZhongxiong

    2004-01-01

    Based on the intelligent decision support system, a new method was presented to defense the catastrophic infectious disease such as SARS, Bird Flu, etc.. By using All Set theory, the decision support system (DSS) model can be built to analyze the noise information and forecast the trend of the catastrophe then to give the method or policy to defend the disease. The model system is composed of four subsystems: the noise analysis subsystem, forecast and simulation subsystem, diagnosis subsystem and second recovery subsystem. They are discussed briefly in this paper. This model can be used not only for SARS but also for other paroxysmal accidences.

  1. Deployment-related mental health support: comparative analysis of NATO and allied ISAF partners

    Science.gov (United States)

    Vermetten, Eric; Greenberg, Neil; Boeschoten, Manon A.; Delahaije, Roos; Jetly, Rakesh; Castro, Carl A.; McFarlane, Alexander C.

    2014-01-01

    Background For years there has been a tremendous gap in our understanding of the mental health effects of deployment and the efforts by military forces at trying to minimize or mitigate these. Many military forces have recently systematized the mental support that is provided to support operational deployments. However, the rationale for doing so and the consequential allocation of resources are felt to vary considerably across North Atlantic Treaty Organisation (NATO) International Security Assistance (ISAF) partners. This review aims to compare the organization and practice of mental support by five partnering countries in the recent deployment in Afghanistan in order to identify and compare the key methods and structures for delivering mental health support, describe bottlenecks and illustrate new developments. Method Information was collected through document analysis and semi-structured interviews with key military mental healthcare stakeholders. The review resulted from close collaboration between key military mental healthcare professionals within the Australian Defense Forces (ADF), Canadian Armed Forces (CAF), United Kingdom Armed Forces (UK), Netherlands Armed Forces (NLD), and the United States Army (US). Key stakeholders were interviewed about the mental health support provided during a serviceperson's military career. The main items discussed were training, prevention, early identification, intervention, and aftercare in the field of mental health. Results All forces reported that much attention was paid to mental health during the individual's military career, including deployment. In doing so there was much overlap between the rationale and applied methods. The main method of providing support was through training and education. The educative focus was to strengthen the mental resilience of individual soldiers while providing a range of mental healthcare services. All forces had abandoned standard psychological debriefing after critical incidents

  2. Research on knowledge support technology for product innovation design based on quality function knowledge deployment

    Directory of Open Access Journals (Sweden)

    Kai Zhang

    2016-06-01

    Full Text Available Based on the analysis of the relationship between the process of product innovation design and knowledge, this article proposes a theoretical model of quality function knowledge deployment. In order to link up the product innovation design and the knowledge required by the designer, the iterative method of quality function knowledge deployment is refined, as well as the knowledge retrieval model and knowledge support model based on quality function knowledge deployment are established. In the whole life cycle of product design, in view of the different requirements for knowledge in conceptual design stage, components’ configuration stage, process planning stage, and production planning stage, the quality function knowledge deployment model could link up the required knowledge with the engineering characteristics, component characteristics, process characteristics, and production characteristics in the four stages using the mapping relationship between the function characteristics and the knowledge and help the designer to track the required knowledge for realizing product innovation design. In this article, an instance about rewinding machine is given to demonstrate the practicability and validity of product innovation design knowledge support technology based on quality function knowledge deployment.

  3. Promoting parenting to support reintegrating military families: after deployment, adaptive parenting tools.

    Science.gov (United States)

    Gewirtz, Abigail H; Pinna, Keri L M; Hanson, Sheila K; Brockberg, Dustin

    2014-02-01

    The high operational tempo of the current conflicts and the unprecedented reliance on National Guard and Reserve forces highlights the need for services to promote reintegration efforts for those transitioning back to civilian family life. Despite evidence that parenting has significant influence on children's functioning, and that parenting may be impaired during stressful family transitions, there is a dearth of empirically supported psychological interventions tailored for military families reintegrating after deployment. This article reports on the modification of an empirically supported parenting intervention for families in which a parent has deployed to war. A theoretical rationale for addressing parenting during reintegration after deployment is discussed. We describe the intervention, After Deployment, Adaptive Parenting Tools (ADAPT), and report early feasibility and acceptability data from a randomized controlled effectiveness trial of ADAPT, a 14-week group-based, Web-enhanced parenting training program. Among the first 42 families assigned to the intervention group, participation rates were high, and equal among mothers and fathers. Satisfaction was high across all 14 sessions. Implications for psychological services to military families dealing with the deployment process are discussed.

  4. 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...... integration a reality, it is prudent to understand the domain in its entirety. In this thesis, this is reflected by a thorough investigation of the stakeholders most relevant to the synergistic relationship between electric vehicle and grid. The rst investigation addresses the power market. The market can...... and the functionalities needed by the control logic are demaned. The next informatics topic, communication, describes a set of protocols and standards applicable for electric vehicle integration. The study investigates the IEC 61850 standard and its ability to support smart charging. Finally it is described how...

  5. Assessment of a Post-deployment Yellow Ribbon Reintegration Program for National Guard Members and Supporters

    Science.gov (United States)

    Scherrer, Jeffrey F.; Widner, Greg; Shroff, Manan; Matthieu, Monica; Balan, Sundari; van den Berk-Clark, Carissa; Price, Rumi Kato

    2014-01-01

    The Yellow Ribbon Reintegration Program (YRRP) was created to meet the needs of National Guard members and their families throughout the deployment cycle. This study examined the perceived utility of the YRRP’s delivery of information and assistance during the post-deployment reintegration period by National Guard members and accompanying supporters who were mostly spouses. Over 22 months, from 10 YRRP events, 683 service members and 411 supporters completed questionnaires immediately after the YRRP. We analyzed questions on information and help provision, timeliness and concerns related to education, employment, legal, family, and health. Service members and supporters most often endorsed education needs being met (76.8% and 78.2% respectively) and were least likely to endorse legal needs being met (63.5% and 60% respectively). Significantly more supporters than service members (p < 0.0001) reported that the YRRP was the first time they learned of available services across all domains. Service members were significantly more likely than supporters to report concerns about education, employment, and health; while supporters were significantly more likely to report concerns about family. Results suggest the YRRP fills gaps in supporter knowledge and provides needed information and resources to most National Guard families 2-4 months after a deployment. PMID:25373071

  6. Application of Wireless Sensor and Actuator Networks to Achieve Intelligent Microgrids: A Promising Approach towards a Global Smart Grid Deployment

    Directory of Open Access Journals (Sweden)

    Alvaro Llaria

    2016-02-01

    Full Text Available Smart Grids (SGs constitute the evolution of the traditional electrical grid towards a new paradigm, which should increase the reliability, the security and, at the same time, reduce the costs of energy generation, distribution and consumption. Electrical microgrids (MGs can be considered the first stage of this evolution of the grid, because of the intelligent management techniques that must be applied to assure their correct operation. To accomplish this task, sensors and actuators will be necessary, along with wireless communication technologies to transmit the measured data and the command messages. Wireless Sensor and Actuator Networks (WSANs are therefore a promising solution to achieve an intelligent management of MGs and, by extension, the SG. In this frame, this paper surveys several aspects concerning the application of WSANs to manage MGs and the electrical grid, as well as the communication protocols that could be applied. The main concerns regarding the SG deployment are also presented, including future scenarios where the interoperability of different generation technologies must be assured.

  7. An Intelligent Polar Cyberinfrastrucuture to Support Spatiotemporal Decision Making

    Science.gov (United States)

    Song, M.; Li, W.; Zhou, X.

    2014-12-01

    In the era of big data, polar sciences have already faced an urgent demand of utilizing intelligent approaches to support precise and effective spatiotemporal decision-making. Service-oriented cyberinfrastructure has advantages of seamlessly integrating distributed computing resources, and aggregating a variety of geospatial data derived from Earth observation network. This paper focuses on building a smart service-oriented cyberinfrastructure to support intelligent question answering related to polar datasets. The innovation of this polar cyberinfrastructure includes: (1) a problem-solving environment that parses geospatial question in natural language, builds geoprocessing rules, composites atomic processing services and executes the entire workflow; (2) a self-adaptive spatiotemporal filter that is capable of refining query constraints through semantic analysis; (3) a dynamic visualization strategy to support results animation and statistics in multiple spatial reference systems; and (4) a user-friendly online portal to support collaborative decision-making. By means of this polar cyberinfrastructure, we intend to facilitate integration of distributed and heterogeneous Arctic datasets and comprehensive analysis of multiple environmental elements (e.g. snow, ice, permafrost) to provide a better understanding of the environmental variation in circumpolar regions.

  8. Intelligent Decision-Support in Virtual Reality Healthcare & Rehabilitation

    DEFF Research Database (Denmark)

    Lewis Brooks, Anthony

    2011-01-01

    Intelligent Decision-Support (IDS) mechanisms to improve an ‘in-action’ facilitator intervention model and ‘on-action’ evaluation and refinement model are proposed for contemporary Virtual Reality Healthcare & Rehabilitation training. The ‘Zone of Optimized Motivation’ (ZOOM) model...... and the ‘Hermeneutic Action Research Recursive Reflection’ model have emerged from a body of virtual reality research called SoundScapes. The work targets all ages and all abilities through gesture-control of responsive multimedia within Virtual Interactive Space (VIS). VIS is an interactive information environment...

  9. MANETKit: Supporting the Dynamic Deployment and Reconfiguration of Ad-Hoc Routing Protocols

    Science.gov (United States)

    Ramdhany, Rajiv; Grace, Paul; Coulson, Geoff; Hutchison, David

    The innate dynamicity and complexity of mobile ad-hoc networks (MANETs) has resulted in numerous ad-hoc routing protocols being proposed. Furthermore, numerous variants and hybrids continue to be reported in the literature. This diversity appears to be inherent to the field-it seems unlikely that there will ever be a 'one-size-fits-all' solution to the ad-hoc routing problem. However, typical deployment environments for ad-hoc routing protocols still force the choice of a single fixed protocol; and the resultant compromise can easily lead to sub-optimal performance, depending on current operating conditions. In this paper we address this problem by exploring a framework approach to the construction and deployment of ad-hoc routing protocols. Our framework supports the simultaneous deployment of multiple protocols so that MANET nodes can switch protocols to optimise to current operating conditions. The framework also supports finer-grained dynamic reconfiguration in terms of protocol variation and hybridisation. We evaluate our framework by using it to construct and (simultaneously) deploy two popular ad-hoc routing protocols (DYMO and OLSR), and also to derive fine-grained variants of these. We measure the performance and resource overhead of these implementations compared to monolithic ones, and find the comparison to be favourable to our approach.

  10. Discursive Deployments: Mobilizing Support for Municipal and Community Wireless Networks in the U.S.

    Energy Technology Data Exchange (ETDEWEB)

    Alvarez, Rosio; Rodriguez, Juana Maria

    2008-08-16

    This paper examines Municipal Wireless (MW) deployments in the United States. In particular, the interest is in understanding how discourse has worked to mobilize widespread support for MW networks. We explore how local governments discursively deploy the language of social movements to create a shared understanding of the networking needs of communities. Through the process of"framing" local governments assign meaning to the MW networks in ways intended to mobilize support anddemobilize opposition. The mobilizing potential of a frame varies and is dependent on its centrality and cultural resonance. We examine the framing efforts of MW networks by using a sample of Request for Proposals for community wireless networks, semi-structured interviews and local media sources. Prominent values that are central to a majority of the projects and others that are culturally specific are identified and analyzed for their mobilizing potency.

  11. 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…

  12. Supporting Collaborative Model and Data Service Development and Deployment with DevOps

    Science.gov (United States)

    David, O.

    2016-12-01

    Adopting DevOps practices for model service development and deployment enables a community to engage in service-oriented modeling and data management. The Cloud Services Integration Platform (CSIP) developed the last 5 years at Colorado State University provides for collaborative integration of environmental models into scalable model and data services as a micro-services platform with API and deployment infrastructure. Originally developed to support USDA natural resource applications, it proved suitable for a wider range of applications in the environmental modeling domain. While extending its scope and visibility it became apparent community integration and adequate work flow support through the full model development and application cycle drove successful outcomes.DevOps provide best practices, tools, and organizational structures to optimize the transition from model service development to deployment by minimizing the (i) operational burden and (ii) turnaround time for modelers. We have developed and implemented a methodology to fully automate a suite of applications for application lifecycle management, version control, continuous integration, container management, and container scaling to enable model and data service developers in various institutions to collaboratively build, run, deploy, test, and scale services within minutes.To date more than 160 model and data services are available for applications in hydrology (PRMS, Hydrotools, CFA, ESP), water and wind erosion prediction (WEPP, WEPS, RUSLE2), soil quality trends (SCI, STIR), water quality analysis (SWAT-CP, WQM, CFA, AgES-W), stream degradation assessment (SWAT-DEG), hydraulics (cross-section), and grazing management (GRAS). In addition, supporting data services include soil (SSURGO), ecological site (ESIS), climate (CLIGEN, WINDGEN), land management and crop rotations (LMOD), and pesticides (WQM), developed using this workflow automation and decentralized governance.

  13. State Support for Clean Energy Deployment. Lessons Learned for Potential Future Policy

    Energy Technology Data Exchange (ETDEWEB)

    Kubert, Charles [Clean Energy States Alliance, Montpelier, VT (United States); Sinclair, Mark [Clean Energy States Alliance, Montpelier, VT (United States)

    2011-04-01

    Proposed federal clean energy initiatives and climate legislation have suggested significant increases to federal funding for clean energy deployment and investment. Many states and utilities have over a decade of experience and spend billions of public dollars every year to support EE/RE deployment through programs that reduce the cost of technologies, provide financing for EE/RE projects, offer technical assistance, and educate market participants. Meanwhile, constraints on public expenditures at all levels of government continue to call upon such programs to demonstrate their value. This report reviews the results of these programs and the specific financial incentives and financing tools used to encourage clean energy investment. Lessons from such programs could be used to inform the future application of EE/RE incentives and financing tools. These lessons learned apply to use of distributed resources and the historical focus of these EE/RE programs.

  14. State Support for Clean Energy Deployment: Lessons Learned for Potential Future Policy

    Energy Technology Data Exchange (ETDEWEB)

    Kubert, C.; Sinclair, M.

    2011-04-01

    Proposed federal clean energy initiatives and climate legislation have suggested significant increases to federal funding for clean energy deployment and investment. Many states and utilities have over a decade of experience and spend billions of public dollars every year to support EE/RE deployment through programs that reduce the cost of technologies, provide financing for EE/RE projects, offer technical assistance, and educate market participants. Meanwhile, constraints on public expenditures at all levels of government continue to call upon such programs to demonstrate their value. This report reviews the results of these programs and the specific financial incentives and financing tools used to encourage clean energy investment. Lessons from such programs could be used to inform the future application of EE/RE incentives and financing tools. These lessons learned apply to use of distributed resources and the historical focus of these EE/RE programs.

  15. 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.

  16. 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.

  17. Design of Intelligent Network Performance Analysis Forecast Support System

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    A system designed for supporting the network performance analysis and forecast effort is pre sented, based on the combination of offline network analysis and online real-time performance forecast. The off-line analysis will perform analysis of specific network node performance, correlation analysis of relative network nodes performance and evolutionary mathematical modeling of long-term network performance mea surements. The online real-time network performance forecast will be based on one so-called hybrid predic tion modeling approach for short-term network performance prediction and trend analysis. Based on the module design, the system proposed has good intelligence, scalability and self-adaptability, which will offer highly effective network performance analysis and forecast tools for network managers, and is one ideal sup port platform for network performance analysis and forecast effort.

  18. Visitor schedule management system- an intelligent decision support system

    CERN Document Server

    Nidhra, Srinivas; Ethiraj, Vinay Sudha

    2012-01-01

    Travelling salesman problem is a problem which is of high interest for researchers, industry professionals, and academicians. Visitor or salesman used to face lot of problems with respect to scheduling based on meeting top ranked clients. Even excel sheet made the work tedious. So these flaws propelled us to design an intelligent decision support system. This paper reports the problem definition we tried to address and possible solution to this problem. We even explained the project design and implementation of our visitor schedule management system.. Our system made a major contribution in terms of valuable resources such as time and satisfying high ranked clients efficiently. We used optimization via mathematical programming to solve these issues.

  19. 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.

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

    NARCIS (Netherlands)

    Jones, Val; Karagiannis, Georgios; Heemstra de Groot, Sonia; Afifi, H.; Zeghlache, D.

    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 com

  1. 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.

  2. THE TECHNOLOGICAL ISSUES AND IMPACT OF INTELLIGENT NETWORK STRATEGIES AND ITS RAPID DEPLOYMENT OF SERVICES IN THE COMMUNICATION NETWORK

    Directory of Open Access Journals (Sweden)

    Dr.S.S.Riaz Ahamed

    2011-05-01

    Full Text Available The primary aim of the IN was to enhance the core telephony services offered by traditional telecommunications networks, which usually amounted to making and receiving voice calls, sometimes with call divert. This core would then provide a basis upon which operators could build services in addition to those already present on astandard telephone exchange. Using the intelligent network (IN approach for supporting telecommunications services enables the use of productivity-enhancing techniques for the creation of new services. Rather than creating new services by cutting fresh software code, modules of service-independent logic can be arranged using graphical user interfaces. As a result, advanced telecommunications services, which are independent of the central switch, can be created more quickly than ever.

  3. High-performance deployable structures for the support of high-concentration ratio solar array modules

    Science.gov (United States)

    Mobrem, M.

    1985-01-01

    A study conducted on high-performance deployable structures for the support of high-concentration ratio solar array modules is discussed. Serious consideration is being given to the use of high-concentration ratio solar array modules or applications such as space stations. These concentrator solar array designs offer the potential of reduced cost, reduced electrical complexity, higher power per unit area, and improved survivability. Arrays of concentrators, such as the miniaturized Cassegrainian concentrator modules, present a serious challenge to the structural design because their mass per unit area (5.7 kg/square meters) is higher than that of flexible solar array blankets, and the requirement for accurate orientation towards the Sun (plus or minus 0.5 degree) requires structures with improved accuracy potentials. In addition, use on a space station requires relatively high structural natural frequencies to avoid deleterious interactions with control systems and other large structural components. The objective here is to identify and evaluate conceptual designs of structures suitable for deploying and accurately supporting high-concentration ratio solar array modules.

  4. Incentives for telehealthcare deployment that support integrated care: a comparative analysis across eight European countries

    Directory of Open Access Journals (Sweden)

    Maria Lluch

    2013-11-01

    Full Text Available Introduction: Health care systems are struggling to deal with the increasing demands of an older population. In an attempt to find a solution to these demands, there has been a shift towards integrated care supported by information and communication technologies. However, little is understood about the role played by incentives and reimbursement schemes in the development of integrated care and information and communication technologies uptake. The objective of this paper is to investigate this question, specifically as regards telehealthcare.Methods: In order to identify the deployment of telehealthcare applications and their role in supporting integrated care, a case study approach was used. A clustering exercise was carried out and eight European countries were selected for in-depth study: Denmark, Estonia, Germany, France, Italy, the Netherlands, Spain and the UK. In total, 31 telehealthcare initiatives across eight countries involving over 20,000 patients were investigated.Results: Reflecting on specific examples in each initiative, drivers promoting integrated care delivery supported by telehealthcare mainstreaming and associated incentive mechanisms were identified. Attention was also paid to other factors which acted as barriers for widespread deployment.Discussion and conclusions: Trends towards telehealthcare mainstreaming were found in Denmark, the UK, and in some regions of Spain, Italy and France. Mainstreaming often went hand-in-hand with progress towards integrated care delivery and payment reforms.A general trend was found towards outcomes-based payments and bundled payment schemes, which aimed to promote integrated care supported by telehealthcare deployment. Their effectiveness in achieving these goals remains to be seen.In addition, a form of outpatient diagnostic-related group reimbursement for telehealthcare services was found to have emerged in a few countries. However, it is questionable how this incentive could promote

  5. Intelligent decision support system for home energy retrofit adoption

    Directory of Open Access Journals (Sweden)

    D. Duah

    2016-12-01

    Full Text Available Despite the well-established benefits of home energy retrofits (HER, its adoption has faced huge challenges. Though homeowners typically depend on energy practitioners for HER advice, previous work by the researchers has identified the inadequateness of such information as a barrier. Using an earlier developed information model, an energy retrofit intelligent decision support system (ERIDSS, that integrates expert knowledge with quantitative information to provide homeowners with accurate information for decision-making, was developed. This paper identifies the key components of the proposed ERIDSS, develops rules for relevant energy retrofit expert knowledge to be employed in the knowledge-based system of the proposed ERIDSS, develops the ERIDSS for decision-making for home energy retrofits, and demonstrates the application of the ERIDSS using a pilot system on two test homes. The quantitative information was obtained from published sources and the U.S. Department of Energy’s cost database, and the expert knowledge was obtained through the application of the modified Delphi technique and job shadowing of energy auditors and retrofit contractors. The research contributes to improving the adoption of energy retrofits by homeowners, assisting industry practitioners with the corroboration of knowledge/information they provide to homeowners in order to reduce homeowner bias, providing a good understanding of available implicit domain knowledge through the development of six knowledge-based modules, and the development of a system and approach that may be replicated in other domains.

  6. 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.

  7. 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.

  8. Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale.

    Science.gov (United States)

    Huang, Muhuan; Wu, Di; Yu, Cody Hao; Fang, Zhenman; Interlandi, Matteo; Condie, Tyson; Cong, Jason

    2016-10-01

    With the end of CPU core scaling due to dark silicon limitations, customized accelerators on FPGAs have gained increased attention in modern datacenters due to their lower power, high performance and energy efficiency. Evidenced by Microsoft's FPGA deployment in its Bing search engine and Intel's 16.7 billion acquisition of Altera, integrating FPGAs into datacenters is considered one of the most promising approaches to sustain future datacenter growth. However, it is quite challenging for existing big data computing systems-like Apache Spark and Hadoop-to access the performance and energy benefits of FPGA accelerators. In this paper we design and implement Blaze to provide programming and runtime support for enabling easy and efficient deployments of FPGA accelerators in datacenters. In particular, Blaze abstracts FPGA accelerators as a service (FaaS) and provides a set of clean programming APIs for big data processing applications to easily utilize those accelerators. Our Blaze runtime implements an FaaS framework to efficiently share FPGA accelerators among multiple heterogeneous threads on a single node, and extends Hadoop YARN with accelerator-centric scheduling to efficiently share them among multiple computing tasks in the cluster. Experimental results using four representative big data applications demonstrate that Blaze greatly reduces the programming efforts to access FPGA accelerators in systems like Apache Spark and YARN, and improves the system throughput by 1.7 × to 3× (and energy efficiency by 1.5× to 2.7×) compared to a conventional CPU-only cluster.

  9. 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)…

  10. 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

  11. Intelligent Support for Solving Classification Differences in Statistical Information Integration

    NARCIS (Netherlands)

    Jonker, C.M.; Verwaart, D.

    2003-01-01

    Integration of heterogeneous statistics is essential for political decision making on all levels. Like in intelligent information integration in general, the problem is to combine information from different autonomous sources, using different ontologies. However, in statistical information integrati

  12. MOIDSS?- Mobile Online Intelligent Decision Support System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — A mapping solution will be developed that allows for geospatial-reality intelligent linking database with remotely sensed images. This system is designed to use...

  13. Decision Support for Reconnaissance Using Intelligent Software Agents.

    Science.gov (United States)

    1998-03-01

    information concerning aspects of this particular NEO. COL Smart decides to send MARK to look at Pacifica’s newspaper source, Libertad , to see if any recent...Jon and Lee, Yongwon and Lehrer, Nancy , "EDS: Intelligent Information Dissemination Server", MILCOM Conference, Monterey, CA, 2-5 Nov 97. 120...Schlossberg, Jon and Lee, Yongwon and Lehrer, Nancy , "JJDS: Intelligent Information Dissemination Server", MJLCOM Conference, Monterey, CA 2-5 Nov 97

  14. FY02 CBNP Annual Report Input: Bioinformatics Support for CBNP Research and Deployments

    Energy Technology Data Exchange (ETDEWEB)

    Slezak, T; Wolinsky, M

    2002-10-31

    The events of FY01 dynamically reprogrammed the objectives of the CBNP bioinformatics support team, to meet rapidly-changing Homeland Defense needs and requests from other agencies for assistance: Use computational techniques to determine potential unique DNA signature candidates for microbial and viral pathogens of interest to CBNP researcher and to our collaborating partner agencies such as the Centers for Disease Control and Prevention (CDC), U.S. Department of Agriculture (USDA), Department of Defense (DOD), and Food and Drug Administration (FDA). Develop effective electronic screening measures for DNA signatures to reduce the cost and time of wet-bench screening. Build a comprehensive system for tracking the development and testing of DNA signatures. Build a chain-of-custody sample tracking system for field deployment of the DNA signatures as part of the BASIS project. Provide computational tools for use by CBNP Biological Foundations researchers.

  15. Support to Domestic Civil Authorities in Civil Disturbance Operations: Intelligence Requirements and Doctrine

    Science.gov (United States)

    1993-12-17

    based Crips and Bloods Youth Street Gangs ." An unpublished paper of the Intelligence Unit, St. Louis Division, U.S. Drug Enforcement Administration, July 1991. 58 ...challenges for a military force deployed in civil disturbance operations. Specifically, increased violence by well-armed gangs presents a significant...distirbance envitonmpnt" requires adequate maps, -databases :of key .urban -facilities, -knowledge of gang ’. - " organization and tactics, and

  16. Intelligent Decision Support and Big Data for Logistics and Supply Chain Management – A Biased View

    DEFF Research Database (Denmark)

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

    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...

  17. Child maltreatment among U.S. Air Force parents deployed in support of Operation Iraqi Freedom/Operation Enduring Freedom.

    Science.gov (United States)

    Rabenhorst, Mandy M; McCarthy, Randy J; Thomsen, Cynthia J; Milner, Joel S; Travis, Wendy J; Colasanti, Marie P

    2015-02-01

    This study examined child maltreatment perpetration among 99,697 active-duty U.S. Air Force parents who completed a combat deployment. Using the deploying parent as the unit of analysis, we analyzed whether child maltreatment rates increased postdeployement relative to predeployment. These analyses extend previous research that used aggregate data and extend our previous work that used data from the same period but used the victim as the unit of analysis and included only deploying parents who engaged in child maltreatment. In this study, 2% (n = 1,746) of deploying parents perpetrated child maltreatment during the study period. Although no overall differences were found in child maltreatment rates postdeployment compared to predeployment, several maltreatment-related characteristics qualified this finding. Rates for emotional abuse and mild maltreatment were lower following deployment, whereas child maltreatment rates for severe maltreatment were higher following deployment. The finding that rates of severe child maltreatment, including incidents involving alcohol use, were higher postdeployment suggests a need for additional support services for parents following their return from combat deployment, with a focus on returning parents who have an alcohol use problem.

  18. Technical support package: Large, easily deployable structures. NASA Tech Briefs, Fall 1982, volume 7, no. 1

    Science.gov (United States)

    1982-01-01

    Design and test data for packaging, deploying, and assembling structures for near term space platform systems, were provided by testing light type hardware in the Neutral Buoyancy Simulator. An optimum or near optimum structural configuration for varying degrees of deployment utilizing different levels of EVA and RMS was achieved. The design of joints and connectors and their lock/release mechanisms were refined to improve performance and operational convenience. The incorporation of utilities into structural modules to determine their effects on packaging and deployment was evaluated. By simulation tests, data was obtained for stowage, deployment, and assembly of the final structural system design to determine construction timelines, and evaluate system functioning and techniques.

  19. 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 emo

  20. Intelligent Agents To Support Students Working in Groups Online.

    Science.gov (United States)

    Whatley, Janice; Staniford, Geof; Beer, Martin; Scown, Phil

    1999-01-01

    Describes initial investigations into the problems encountered when college students undertake online group projects and introduces a method for designing intelligent software agents capable of recognizing and alleviating problems concerned with the maintenance roles of group project work. Discusses computer mediated communication and user…

  1. 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 emo

  2. 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.

  3. Development and Validation of a Portable Platform for Deploying Decision-Support Algorithms in Prehospital Settings

    Science.gov (United States)

    Reisner, A. T.; Khitrov, M. Y.; Chen, L.; Blood, A.; Wilkins, K.; Doyle, W.; Wilcox, S.; Denison, T.; Reifman, J.

    2013-01-01

    Summary Background Advanced decision-support capabilities for prehospital trauma care may prove effective at improving patient care. Such functionality would be possible if an analysis platform were connected to a transport vital-signs monitor. In practice, there are technical challenges to implementing such a system. Not only must each individual component be reliable, but, in addition, the connectivity between components must be reliable. Objective We describe the development, validation, and deployment of the Automated Processing of Physiologic Registry for Assessment of Injury Severity (APPRAISE) platform, intended to serve as a test bed to help evaluate the performance of decision-support algorithms in a prehospital environment. Methods We describe the hardware selected and the software implemented, and the procedures used for laboratory and field testing. Results The APPRAISE platform met performance goals in both laboratory testing (using a vital-sign data simulator) and initial field testing. After its field testing, the platform has been in use on Boston MedFlight air ambulances since February of 2010. Conclusion These experiences may prove informative to other technology developers and to healthcare stakeholders seeking to invest in connected electronic systems for prehospital as well as in-hospital use. Our experiences illustrate two sets of important questions: are the individual components reliable (e.g., physical integrity, power, core functionality, and end-user interaction) and is the connectivity between components reliable (e.g., communication protocols and the metadata necessary for data interpretation)? While all potential operational issues cannot be fully anticipated and eliminated during development, thoughtful design and phased testing steps can reduce, if not eliminate, technical surprises. PMID:24155791

  4. 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.

  5. Successful Starshade Petal Deployment Tolerance Verification in Support of NASA's Technology Development for Exoplanet Missions

    Science.gov (United States)

    Webb, D.; Kasdin, N. J.; Lisman, D.; Shaklan, S.; Thomson, M.; Cady, E.; Marks, G. W.; Lo, A.

    2014-01-01

    A Starshade is a sunflower-shaped satellite with a large inner disk structure surrounded by petals that flies in formation with a space-borne telescope, creating a deep shadow around the telescope over a broad spectral band to permit nearby exoplanets to be viewed. Removing extraneous starlight before it enters the observatory optics greatly loosens the tolerances on the telescope and instrument that comprise the optical system, but the nature of the Starshade dictates a large deployable structure capable of deploying to a very precise shape. These shape requirements break down into key mechanical requirements, which include the rigid-body position and orientation of each of the petals that ring the periphery of the Starshade. To verify our capability to meet these requirements, we modified an existing flight-like Astromesh reflector, provided by Northrup Grumman, as the base ring to which the petals attach. The integrated system, including 4 of the 30 flight-like subscale petals, truss, connecting spokes and central hub, was deployed tens of times in a flight-like manner using a gravity compensation system. After each deployment, discrete points in prescribed locations covering the petals and truss were measured using a highly-accurate laser tracker system. These measurements were then compared against the mechanical requirements, and the as-measured data shows deployment accuracy well within our milestone requirements and resulting in a contrast ratio consistent with exoplanet detection and characterization.

  6. 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.

  7. 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.

  8. Tracking Vehicle in GSM Network to Support Intelligent Transportation Systems

    Science.gov (United States)

    Koppanyi, Z.; Lovas, T.; Barsi, A.; Demeter, H.; Beeharee, A.; Berenyi, A.

    2012-07-01

    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.

  9. Optimization Modeling and Decision Support for Wireless Infrastructure Deployment in Disaster Planning and Management

    DEFF Research Database (Denmark)

    Bartolacci, Michael R.; Mihovska, Albena D.; Ozceylan, Dilek

    2013-01-01

    Natural disasters and emergencies create the need for communication between and among the affected populace and emergency responders as well as other parties such as governmental agencies and aid organizations. Such communications include the dissemination of key information such as evacuation...... the deployment of temporary mobile networks and other wireless equipment following disasters has been successfully accomplished by governmental agencies and network providers following previous disasters, there appears to be little optimization effort involved with respect to maximizing key performance measures...... of the deployment or minimizing overall cost to deploy. This work does not focus on the question of what entity will operate the portable base stations or wireless equipment utilized during a disaster, only the question of optimizing placement for planning and real time management purposes. This work examines...

  10. Optimization Modeling and Decision Support for Wireless Infrastructure Deployment in Disaster Planning and Management

    DEFF Research Database (Denmark)

    Bartolacci, Michael R.; Mihovska, Albena D.; Ozceylan, Dilek

    2013-01-01

    of the deployment or minimizing overall cost to deploy. This work does not focus on the question of what entity will operate the portable base stations or wireless equipment utilized during a disaster, only the question of optimizing placement for planning and real time management purposes. This work examines......Natural disasters and emergencies create the need for communication between and among the affected populace and emergency responders as well as other parties such as governmental agencies and aid organizations. Such communications include the dissemination of key information such as evacuation...... the deployment of temporary mobile networks and other wireless equipment following disasters has been successfully accomplished by governmental agencies and network providers following previous disasters, there appears to be little optimization effort involved with respect to maximizing key performance measures...

  11. Concept-Development of a Structure Supported Membrane for Deployable Space Applications - From Nature to Manufacture and Testing

    Science.gov (United States)

    Zander, Martin; Belvin, W. K.

    2012-01-01

    Current space applications of membrane structures include large area solar power arrays, solar sails, antennas, and numerous other large aperture devices like the solar shades of the new James Webb Space Telescope. These expandable structural systems, deployed in-orbit to achieve the desired geometry, are used to collect, reflect and/or transmit electromagnetic radiation. This work, a feasibility study supporting a diploma thesis, describes the systematic process for developing a biologically inspired concept for a structure supported (integrated) membrane, that features a rip stop principle, makes self-deployment possible and is part of an ultra-light weight space application. Novel manufacturing of membrane prototypes and test results are presented for the rip-stop concepts. Test data showed that the new membrane concept has a higher tear resistance than neat film of equivalent mass.

  12. Investigating the efficacy of an intelligent operation planning and support tool for acute healthcare contexts.

    Science.gov (United States)

    Wickramasinghe, Nilmini; Kent, Bridie; Moghimi, Fatemeh Hoda; Nguyen, Lemai; Redley, Bernice; Taylor, Nyree; Muhammed, Imran; Botti, Mari

    2013-01-01

    Nurses are the largest group of healthcare professionals in hospitals providing 24-hour care to patients. Hence, nurses are pivotal in coordinating and communicating patient care information in the complex network of healthcare professionals, services and other care processes. Yet, despite nurses' central role in health care delivery, intelligent systems have historically rarely been designed around nurses' operational needs. This could explain the poor integration of technologies into nursing work processes and consequent rejection by nursing professionals. The complex nature of acute care delivery in hospitals and the frequently interrupted patterns of nursing work suggest that nurses require flexible intelligent systems that can support and adapt to their variable workflow patterns. This study is designed to explore nurses' initial reactions to a new intelligent operational planning and support tool (IOPST) for acute healthcare. The following reports on the first stage of a longitudinal project to use an innovative approach involving nurses in the development of the IOPST; from conceptualization to implementation.

  13. INTELLIGENT MECHANISM TO SUPPORT DFX-ABILITIESIN AUTOMATED DESIGNER'S ENVIRONMENT

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    From the information integration point of view, design activities are the processes of the information handling. Mechanism module in DesignerSpace, like an operator, operates on the information (which can be thought as the input or output) being processed during certain design activity, as shown in Fig.3. Therefore, Mechanism is a comprehensive framework which intends to integrate more computational technologies along the whole product design process.  Because of different engineering application domains involved in solving a design problem, Mechanism offers generaloperator and specialoperator. The former is proposed for general mechanical product design, such as DFX; and the latter has definite application scope and needs special design technologies, for example, blankdisc design in aircraft. Any mechanism operator is giving the constraints on design, but CAD system is needed to help construct PDMD under the constraints. Generaloperator or specialoperator is made up of three basic components: knowledgebase, algorithmbase and monitoring/debugging. The components of DFX mechanism with Process module and Resource module in DesignerSpace are described in EXPRESS-G in Fig.4.2.1 Product models and operated product model data  The DFX intelligent mechanism operates on the product model data for obtaining the optimized product model data which are of DFX abilities. The product models used in DesignerSpace are structured into two levels: geometricmodel and featuremodel[11].

  14. Intelligent Advisory System for Supporting University Managers in Law

    CERN Document Server

    Elalfi, Atta E E

    2009-01-01

    The rights and duties of both staff members and students are regulated by a large and different numbers of legal regulations and rules. This large number of rules and regulations makes the decision-making process time consuming and error boring. Smart advisory systems could provide rapid and accurate advices to managers and give the arguments for these advices. This paper presents an intelligent advisory system in law to assist the legal educational processes in universities and institutes. The aims of the system are: to provide smart legal advisors in the universities and institutes, to integrate rules and regulations of universities and institutes in the e-government, to ease the burden on the legal advisor and the provision of consulting services to users, to achieve accurate and timely presentation of the legal opinion to a given problem and to assure flexibility for accepting changes in the rules and legal regulations. The system is based on experienced jurists and the rules and regulations of the law or...

  15. Supporting the Development of Emotional Intelligence Competencies to Ease the Transition from Primary to High School

    Science.gov (United States)

    Qualter, P.; Whiteley, H. E.; Hutchinson, J. M.; Pope, D. J.

    2007-01-01

    This study aims to explore (1) whether pupils with high emotional intelligence (EI) cope better with the transition to high school; and (2) whether the introduction of an intervention programme to support the development of EI competencies can increase EI and self-worth, and so ease the negative effects of transition. Results suggest that pupils…

  16. Teaching Mathematics with Intelligent Support in Natural Language. Tertiary Education Students Working with Parametrized Modelling Activities

    Science.gov (United States)

    Rojano, Teresa; García-Campos, Montserrat

    2017-01-01

    This article reports the outcomes of a study that seeks to investigate the role of feedback, by way of an intelligent support system in natural language, in parametrized modelling activities carried out by a group of tertiary education students. With such a system, it is possible to simultaneously display on a computer screen a dialogue window and…

  17. Adaptive and Intelligent Systems for Collaborative Learning Support: A Review of the Field

    Science.gov (United States)

    Magnisalis, I.; Demetriadis, S.; Karakostas, A.

    2011-01-01

    This study critically reviews the recently published scientific literature on the design and impact of adaptive and intelligent systems for collaborative learning support (AICLS) systems. The focus is threefold: 1) analyze critical design issues of AICLS systems and organize them under a unifying classification scheme, 2) present research evidence…

  18. The Contributions of Emotional Intelligence and Social Support for Adaptive Career Progress among Italian Youth

    Science.gov (United States)

    Di Fabio, Annamaria; Kenny, Maureen E.

    2015-01-01

    Drawing from career construction and positive youth development perspectives, this study explores, among 254 Italian high school students, the relationship between emotional intelligence (EI) and support from friends and teachers with indices of adaptive career development. Results from the full canonical correlational model revealed that…

  19. Personalized, Adaptive and Intelligent Support for Online Assignments Based on Proactive Computing

    OpenAIRE

    Marques Dias, Sergio; Reis, Sandro; Zampunieris, Denis

    2012-01-01

    We designed and implemented a prototype software system based on proactive computing, as an add-on to existing technology enhanced learning platforms. In this paper, we show how our proactive engine augmented with the adequate proactive scenarios enhances the assignments sub-system of the Moodle™ learning management system by providing personalized, adaptive and intelligent support to both online learners and teachers.

  20. 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…

  1. 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......, metaheuristics and matheuristics, simulation, agent technologies, and descriptive methods. In a sense, we were and are representing the future of logistics over the years....

  2. 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...

  3. Postdeployment Hospitalizations among Service Members Deployed in Support of the Operations in Iraq and Afghanistan

    Science.gov (United States)

    2009-09-01

    10 ICD-9-CM diagnoses. For these analyses, only the first hospitalization for the targeted diagnosis or group of diagnoses was included.Outcomes To...injuries or illnesses that may be found after deploy- ment. Other categories such as neoplasms, found the most frequent diagnosis of uterine leiomyoma...phic lateral sclerosis, or fibromyalgia associated with Persian Gulf War service? An examination of Department of Defense hospitalization data. Am J

  4. Supporting Employees who Deploy: The Case for Financial Assistance to Employers of Military Reservists

    OpenAIRE

    Colin Busby

    2010-01-01

    Military reservists have become a vital component of Canada’s forces at home and abroad, and like their counterparts in the regular forces, provide a service for all Canadians. However, owing to recent federal and provincial job protection legislation, employers of reservists tend to bear a disproportionate share of the costs when their employees are deployed overseas or domestically. If reservists choose to take on full-time military duties, their civilian employer’s search for a temporary r...

  5. An Intelligent Tool to support Requirements Analysis and Conceptual Design of Database Design

    Institute of Scientific and Technical Information of China (English)

    王能斌; 刘海青

    1991-01-01

    As an application of artificial intelligence and expert system technology to database design,this paper presents an intelligent design tool NITDT,which comprises a requirements specification language NITSL,a knowledge representation language NITKL,and an inference engine with uncertainty reasoning capability.NITDT now covers the requirements analysis and conceptual design of database design.However,it is possible to be integrated with another database design tool,NITDBA,developed also at NIT to become an integrated design tool supporting the whole process of database design.

  6. APPLICATION OF INTEGRATED INTELLIGENT METHODOLOGY TO PREDICT STABILITY AND SUPPORTING DECISION IN UNDERGROUND DRIFT

    Institute of Scientific and Technical Information of China (English)

    Lai Xingping; Wu Yongping; Zhang Bingchuan; Cai Meifeng

    2000-01-01

    The present study shows that naturally the enormous engineering structure interaction with medium material, geometry or non-linearity hazardous simulation experiment, response analysis and computing theory have been regarded as a high-level question in the architecture, bridge, tunnel, hydraulic, etc engineering fields.Approaches an integrated intelligent methodology to predict stability and supporting decision in underground drift based on neural network modelling on coal-rock mechanical problem is proposed.By the terms of the non-linearity numerical simulation, this paper develops integrated intelligent methodology to research on the structure hazardous response strata soft-rock drifts.

  7. Construction of intelligent decision support system in control of gas compression process

    Directory of Open Access Journals (Sweden)

    Леонид Михайлович Замиховский

    2015-04-01

    Full Text Available The necessity to construct the intelligent decision support systems (IDSS in the control of the gas compression process with inclusion in structure of the training module is substantiated. А block diagram of human-computer interaction in the system "Dispatcher - IDSS - ASC GCU - CS" is shown, and the functions of the separate blocks of the intellectual decision support system in the control of the gas compression process are defined

  8. 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.

  9. Achieving Intelligence Proliferation: Policies and Programs for Leveraging Intelligence Support to State, Local and Tribal Law Enforcement

    Science.gov (United States)

    2008-12-01

    partners in the program. Critical infrastructure operators such as Disney are prime candidates due to their unique threat environment. Currently the...intelligence analysts at Disney meet monthly with intelligence working groups in Anaheim.62 The inclusion of private sector partners...author, September 23, 2008. 36 in training opportunities is an important avenue for integration and intelligence proliferation. The expansion in

  10. Intelligent automated control of life support systems using proportional representations.

    Science.gov (United States)

    Wu, Annie S; Garibay, Ivan I

    2004-06-01

    Effective automatic control of Advanced Life Support Systems (ALSS) is a crucial component of space exploration. An ALSS is a coupled dynamical system which can be extremely sensitive and difficult to predict. As a result, such systems can be difficult to control using deliberative and deterministic methods. We investigate the performance of two machine learning algorithms, a genetic algorithm (GA) and a stochastic hill-climber (SH), on the problem of learning how to control an ALSS, and compare the impact of two different types of problem representations on the performance of both algorithms. We perform experiments on three ALSS optimization problems using five strategies with multiple variations of a proportional representation for a total of 120 experiments. Results indicate that although a proportional representation can effectively boost GA performance, it does not necessarily have the same effect on other algorithms such as SH. Results also support previous conclusions that multivector control strategies are an effective method for control of coupled dynamical systems.

  11. 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.

  12. 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

    and increase productivity, from extraction all the way to the delivery of a processed product to the customer. In this context, one of the key enablers is wireless connectivity since it allows mining equipment to be remotely monitored and controlled. Simply put, dependable wireless connectivity is essential...... 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...... by mining automation and discuss the consequences of not providing connectivity for all applications. The work also discusses how the careful positioning of the heavy communications infrastructure (tall towers) from the early stages of the mine site project can make the provision of incremental capacity...

  13. A decision support system for the Military Airlift Command, the Airlift Deployment Analysis System

    Energy Technology Data Exchange (ETDEWEB)

    Kraemer, R.D.; Harrison, I.G.

    1989-09-01

    Oak Ridge National Laboratory (ORNL) is assisting the Military Airlift Command (MAC) with the development of the Airlift Deployment Analysis System (ADANS). ADANS will improve MAC's automated capabilities for scheduling peacetime airlift missions, deliberate planning, execution planning, and analysis of the airlift system. ADANS will consist of four subsystems: airlift planning and scheduling algorithms, database management, user interface, and communications. This paper describes MAC's current airlift planning and scheduling operations, the current automated systems used to develop airlift schedules and plans, approaches to developing ADANS, and major improvements that will result from the implementation of ADANS. This report is based on a series of in-depth interviews and working sessions that were conducted with MAC staff, a review of airlift scheduling literature, and the ongoing research effort at ORNL for the ADANS project. 9 refs., 2 figs., 2 tabs.

  14. Application of Case-Based Reasoning to Intelligent Support System for Coordinating Land Conflicts

    Institute of Scientific and Technical Information of China (English)

    LI Hong-bo; TAN Shu-kui; ZHONG Hai-feng

    2007-01-01

    To establish the institutional mechanism for land conflict coordination in China, a case-based reasoning system is developed as an intelligent support and effective manner to resolve such issues. The establishment of the case library is discussed, previous land conflict cases are archived in a structural representation format for retrieval, and the similarity algorithm is adopted to compare the case features. Group tests show a good classification performance, which reveals that the system is feasible.

  15. Data mining predictive models for pervasive intelligent decision support in intensive care medicine

    OpenAIRE

    Portela, Filipe; Pinto, Filipe; Santos, Manuel Filipe

    2012-01-01

    The introduction of an Intelligent Decision Support System (IDSS) in a critical area like the Intensive Medicine is a complex and difficult process. In this area, their professionals don’t have much time to document the cases, because the patient direct care is always first. With the objective to reduce significantly the manual records and, enabling, at the same time, the possibility of developing an IDSS which can help in the decision making process, all data acquisition process ...

  16. Federated Stream Processing Support for Real-Time Business Intelligence Applications

    Science.gov (United States)

    Botan, Irina; Cho, Younggoo; Derakhshan, Roozbeh; Dindar, Nihal; Haas, Laura; Kim, Kihong; Tatbul, Nesime

    In this paper, we describe the MaxStream federated stream processing architecture to support real-time business intelligence applications. MaxStream builds on and extends the SAP MaxDB relational database system in order to provide a federator over multiple underlying stream processing engines and databases. We show preliminary results on usefulness and performance of the MaxStream architecture on the SAP Sales and Distribution Benchmark.

  17. Deployable centralizers

    Energy Technology Data Exchange (ETDEWEB)

    Grubelich, Mark C.; Su, Jiann-Cherng; Knudsen, Steven D.

    2017-02-28

    A centralizer assembly is disclosed that allows for the assembly to be deployed in-situ. The centralizer assembly includes flexible members that can be extended into the well bore in situ by the initiation of a gas generating device. The centralizer assembly can support a large load carrying capability compared to a traditional bow spring with little or no installation drag. Additionally, larger displacements can be produced to centralize an extremely deviated casing.

  18. Development, deployment and usability of a point-of-care decision support system for chronic disease management using the recently-approved HL7 decision support service standard.

    Science.gov (United States)

    Lobach, David F; Kawamoto, Kensaku; Anstrom, Kevin J; Russell, Michael L; Woods, Peter; Smith, Dwight

    2007-01-01

    Clinical decision support is recognized as one potential remedy for the growing crisis in healthcare quality in the United States and other industrialized nations. While decision support systems have been shown to improve care quality and reduce errors, these systems are not widely available. This lack of availability arises in part because most decision support systems are not portable or scalable. The Health Level 7 international standard development organization recently adopted a draft standard known as the Decision Support Service standard to facilitate the implementation of clinical decision support systems using software services. In this paper, we report the first implementation of a clinical decision support system using this new standard. This system provides point-of-care chronic disease management for diabetes and other conditions and is deployed throughout a large regional health system. We also report process measures and usability data concerning the system. Use of the Decision Support Service standard provides a portable and scalable approach to clinical decision support that could facilitate the more extensive use of decision support systems.

  19. The generalized architecture of the decision support system on the basis of Business Intelligence in an equitable construction

    OpenAIRE

    Круковський, Ігор Анатолійович

    2016-01-01

    On the basis of retrospective analysis of Business Intelligence the generalized architecture of the Decision Support System, marked as DSS ВІ 2.0 (Decision Support System, Business Intelligence 2.0) has been worked out. Its differs in including of facilities from Text Mining and programmatic agents with the functions of expertmini systems; by the selection of subsystems of complex visualization; including of facilities of making videos; possibility of adaptation of module architecture in acco...

  20. 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...

  1. 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.

  2. Post Cold War transformation of the medical function in support of the deployed soldier.

    Science.gov (United States)

    Vekerdi, Zoltan

    2013-12-01

    This article summarises the changes that resulted in, and still act towards, final implementation of a separate medical function in operational medical support. This article is not intended to represent an historical account, but to provide concise supplemental material for decision makers to position medical under the commander, which enables medical staff to support and care for the troops and which can be used in the best possible way as an image forming factor for the force. The aim of this article is to clearly articulate the necessity for independence of the medical and logistic functions, while recognising the need for continued close coordination.

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

    Directory of Open Access Journals (Sweden)

    Abiodun M. Lawal

    2017-02-01

    Full Text Available Background: 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.Objectives: 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.Methods: 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.Results: 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.Conclusion: 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. 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.

  5. Africa needs streamlined regulation to support the deployment of GM crops.

    Science.gov (United States)

    Atkinson, Howard J; Roderick, Hugh; Tripathi, Leena

    2015-08-01

    Future food security in sub-Saharan Africa (SSA) requires enhancement of its crop production. Transgenic crops with a poverty focus can enhance harvests and are available for staples such as cooking bananas and plantains. One constraint is optimisation of national biosafety processes to support rapid and safe uptake of such beneficial crops. Copyright © 2015 Elsevier Ltd. All rights reserved.

  6. Accidence and Acronyms: Deploying Electronic Assessment in Support of Classical Language Teaching in a University Context

    Science.gov (United States)

    Ashdowne, Richard

    2009-01-01

    This article describes the process of design and implementation of GALACTICA ("Greek And Latin Accidence Consolidation Training, Internet-Centred Assessment") in support of the University of Oxford's Classics Faculty language consolidation classes. The context and aims of the previous paper-based "assessment" system are…

  7. Promoting Parenting to Support Reintegrating Military Families: After Deployment, Adaptive Parenting Tools

    OpenAIRE

    Gewirtz, Abigail H.; Pinna, Keri L. M.; Hanson, Sheila K; Brockberg, Dustin

    2014-01-01

    The high operational tempo of the current conflicts and the unprecedented reliance on National Guard and Reserve forces highlights the need for services to promote reintegration efforts for those transitioning back to civilian family life. Despite evidence that parenting has significant influence on children’s functioning, and that parenting may be impaired during stressful family transitions, there is a dearth of empirically-supported psychological interventions tailored for military familie...

  8. Providing Logistics Support to CDC-Deployed Staff for the Ebola Response in Liberia, Guinea, and Sierra Leone.

    Science.gov (United States)

    Dopson, Stephanie A; Rodriguez, Rockie; Rouse, Edward N

    2015-11-01

    The first Ebola cases in West Africa were reported by the Guinea Ministry of Health on March 23, 2014, and by June it became the largest recorded Ebola outbreak. Centers for Disease Control and Prevention field teams were deployed to West Africa, including in-country logistics staff who were critical for ensuring the movement of staff, equipment, and supplies to locations where public health knowledge and experience were applied to meet mission-related requirements. The logistics role was critical to creating the support for epidemiologists, medical doctors, laboratory staff, and health communicators involved in health promotion activities to successfully respond to the epidemic, both in the capital cities and in remote villages. Logistics personnel worked to procure equipment, such as portable video projectors, and have health promotion materials printed. Logistics staff also coordinated delivery of communication and health promotion materials to the embassy and provided assistance with distribution to various partners.

  9. Fiber-supported 60 GHz mobile backhaul links for access/metropolitan deployment

    DEFF Research Database (Denmark)

    Lebedev, Alexander; Pang, Xiaodan; Vegas Olmos, Juan José

    2013-01-01

    We present a 60 GHz wireless link fully supported with the optical fiber infrastructure. The architecture that we implement is suitable to provide the efficient wireless/fiber mobile backhaul in access/metropolitan area. Bit error rate (BER) performance below the 7% overhead forward error...... correction (FEC) limit is presented for transmission of 1.25 Gbps data signals. Ultimately, transmission through fiber-wirelessfiber link is achieved including 4 m of wireless distance and 20 km of standard single mode fiber (SSMF) interfacing the antennas on each side....

  10. Business intelligence

    Directory of Open Access Journals (Sweden)

    Cebotarean Elena

    2011-02-01

    Full Text Available Business intelligence (BI refers to computer-based techniques used in spotting, digging-out, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes. BI technologies provide historical, current, and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, and predictive analytics. Business intelligence aims to support better business decision-making. Thus a BI system can be called a decision support system (DSS. Though the term business intelligence is sometimes used as a synonym for competitive intelligence, because they both support decision making, BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes and disseminates information with a topical focus on company competitors. Business intelligence understood broadly can include the subset of competitive intelligence.

  11. 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.

  12. 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…

  13. 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.

  14. MIDAS intelligent platform for medical services, support for decision optimization in virtual medical communities.

    Science.gov (United States)

    Arotăriţei, D; Toma, C M; Turnea, M; Toma, Vasilica

    2008-01-01

    The paper describes the implementation of a open multifunctional platform--MIDAS--for heterogeneous medical data management--support for optimization of clinical decision in virtual medical communities. The objectives of this intelligent environment are: diagnostic easier by access to heterogeneous medical data, a virtual support for medical personal in order to reduce medical errors, fast access to resources for education and improvement of medical education for physicians and students. The structure of the platform is based on a core module and a number of dedicated modules that give an important advantage as re-configurable platform depending on necessities. The core module tries to be as general is possible in order to be used in the future as core model in a platform focused on dentistry cases.

  15. SOPHIE: Social, Open Pro-active Hub for Information Exchange to Support Intelligence Communities

    NARCIS (Netherlands)

    Streefkerk, J.W.; Eikelboom, A.; Paulissen, R.; Bemmel, I.E. van; Hemmer, A.F.; Venrooij, W.; Hollander, C.J. den

    2014-01-01

    Military intelligence communities need to collect, process and disseminate information as quickly and efficiently as possible, for example in answering requests for information by commanders. Currently, the flow of information between the field and intelligence communities is hampered by disparities

  16. Extracting physician group intelligence from electronic health records to support evidence based medicine.

    Directory of Open Access Journals (Sweden)

    Griffin M Weber

    Full Text Available Evidence-based medicine employs expert opinion and clinical data to inform clinical decision making. The objective of this study is to determine whether it is possible to complement these sources of evidence with information about physician "group intelligence" that exists in electronic health records. Specifically, we measured laboratory test "repeat intervals", defined as the amount of time it takes for a physician to repeat a test that was previously ordered for the same patient. Our assumption is that while the result of a test is a direct measure of one marker of a patient's health, the physician's decision to order the test is based on multiple factors including past experience, available treatment options, and information about the patient that might not be coded in the electronic health record. By examining repeat intervals in aggregate over large numbers of patients, we show that it is possible to 1 determine what laboratory test results physicians consider "normal", 2 identify subpopulations of patients that deviate from the norm, and 3 identify situations where laboratory tests are over-ordered. We used laboratory tests as just one example of how physician group intelligence can be used to support evidence based medicine in a way that is automated and continually updated.

  17. 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.

  18. INTELLIGENT MECHANISM TO SUPPORT DFX-ABILITIES IN AUTOMATED DESIGNER'S ENVIRONMENT

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    The paper aims at providing a computerized design environment to support product design practically. The authors solved this problem by taking the product life-cycle issues into consideration as more as possible during the design process from the designer-oriented perspective of view. Design for X-abilities (DFX) is an effective approach to this philosophy. So the paper mainly presents the infrastructure of an intelligent DFX mechanism which is the essential part of the developed product design environment. At first the designer-oriented computer environment DesignerSpace is introduced for understanding the designer how to implement design activities and DFX method better. In order to integrate design knowledge from downstream aspects for the optimization and the design decision-making, an intelligent DFX mechanism is developed to incorporate knowledge base, algorithm-base and monitoring/debugging tools. DesignerSpace is implemented with DFX abilities and applied to the blisk design of aircraft engine and the further development is strongly intended.

  19. Intelligent decision support system of operation-optimization in copper smelting converter

    Institute of Scientific and Technical Information of China (English)

    姚俊峰; 梅炽; 彭小奇; 周安梁; 吴冬华

    2002-01-01

    An artificial intelligence technique was applied to the optimization of flux-adding systems and air-blasting systems, the display of on-line parameters, forecasting of mass and compositions of slag in the slagging period, optimization of cold material-adding systems and air-blasting systems, the display of on-line parameters, and the forecasting of copper mass in the copper blow period in copper smelting converters. They were integrated to build the Intelligent Decision Support System of the Operation-Optimization of Copper Smelting Converter(IDSSOOCSC), which is self-learning and self-adaptating. Development steps, monoblock structure and basic functions of the IDSSOOCSC were introduced. After it was applied in a copper smelting converter, every production quota was clearly improved after IDSSOOCSC had been run for 4 months. Blister copper productivity is increased by 6%, processing load of cold input is increased by 8% and average converter life-span is improved from 213 to 235 furnace times.

  20. 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.

  1. 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

    2015-01-01

    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. PMID:25723145

  2. Family stressors and postdeployment mental health in single versus partnered parents deployed in support of the wars in Afghanistan and Iraq.

    Science.gov (United States)

    Vaughn-Coaxum, Rachel; Smith, Brian N; Iverson, Katherine M; Vogt, Dawne

    2015-08-01

    Little is known about the family-related stress and postdeployment adjustment of single versus partnered parents deployed in support of the wars in Iraq and Afghanistan. This study examined exposure to family-related stressors during and after deployment, as well as postdeployment psychological symptoms in a national sample of 318 single (n = 74) and partnered (n = 244) parent veterans of Operation Enduring Freedom and Operation Iraqi Freedom. Results demonstrated that single parents experienced higher levels of concern about life and family disruptions during deployment, lower levels of social support during and after deployment, and poorer postdeployment family functioning than partnered parents. Single parents also reported higher posttraumatic stress symptom severity, but not depression or anxiety symptom severity, compared with partnered parents. Family-related stressors demonstrated different associations with mental health for single and partnered parents, suggesting that some stressor-symptom relations may be more salient for single parents, and others may be more salient for partnered parents. Findings suggest that the deployment and postdeployment experiences of parents differ based on their partnered status, which has implications for the design and provision of services to single and partnered parents.

  3. What Do Capacity Deployment Rates Tell Us about the Efficiency of Electricity Generation from Renewable Energy Sources Support Measures in Greece?

    Directory of Open Access Journals (Sweden)

    Sotiris Papadelis

    2016-01-01

    Full Text Available The efficiency of fiscal support for electricity generation from renewable energy sources (RES-E is a multifaceted notion that cannot be adequately described by a single metric. Efficiency is related to the ability of a policy measure to support deployment without creating negative feedback effects. These negative effects may stem from saturation of the grid’s ability to absorb an increased amount of RES-E power, the inability of regulatory bodies to cope with the larger workload due to the increased number of projects requesting permits or from rent-seeking behavior. Furthermore, the primary rationale for feed-in tariffs (FITs and other fiscal support schemes is that increased deployment of RES-E technologies will lead to reductions in costs and increases in efficiency. As a result, the efficiency of an RES-E support policy should be also judged by its ability to capitalize on cost reductions. Overall, we present an approach to facilitate ongoing assessments of the efficiency of support measures for RES-E deployment. We demonstrate the proposed approach using the FIT support policy in Greece as a case study. In particular, the RES-E support policy in Greece has been recently revised through tariff cuts and a moratorium on new production licenses. We aim to demonstrate that if publicly available data are appropriately monitored, a policy revision can take place in a timelier and less disruptive manner.

  4. The development of intelligent, triage-based, mass-gathering emergency medical service PDA support systems.

    Science.gov (United States)

    Chang, Polun; Hsu, Yueh-Shuang; Tzeng, Yuann-Meei; Sang, Yiing-Yiing; Hou, I-Ching; Kao, Wei-Fong

    2004-09-01

    The support systems for the Emergency Medical Services (EMS) at mass gatherings, such as the local marathon or large international baseball games, are underdeveloped. The purposes of this study were to extend well-developed, triage-based, EMS Personal Digital Assistant (PDA) support systems to cover pre-hospital emergency medical services and onsite evaluation forms for the mass gatherings, and to evaluate users ' perceived ease of use and usefulness of the systems in terms of Davis ' Technology Acceptance Model (TAM). The systems were developed based on an established intelligent triage PDA support system and two other forms the general EMS form from the Taipei EMT and the customer-made Mass Gathering Medical form used by a medical center. Twenty-three nurses and six physicians in the medical center, who had served at mass gatherings, were invited to examine the new systems and answer the TAM questionnaire. The PDA systems were composed of 450 information items within 42 screens in 6 categories. The results supported the potential for using triage-based PDA systems at mass gatherings. Overall, most of the subjects agreed that the systems were easy to use and useful for mass gatherings, and they were willing to accept the systems.

  5. 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.

  6. 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.

  7. 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.

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

    Science.gov (United States)

    Ruiz, Nancy; Giret, Adriana; Botti, Vicente

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

  9. 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.

  10. 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.

  11. 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

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

    Science.gov (United States)

    Siddiqui, Muhammad Faisal; Reza, Ahmed Wasif; Kanesan, Jeevan

    2015-01-01

    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 from the

  13. Developing an Intelligent Reservoir Flood Control Decision Support System through Integrating Artificial Neural Networks

    Science.gov (United States)

    Chang, L. C.; Kao, I. F.; Tsai, F. H.; Hsu, H. C.; Yang, S. N.; Shen, H. Y.; Chang, F. J.

    2015-12-01

    Typhoons and storms hit Taiwan several times every year and cause serious flood disasters. Because the mountainous terrain and steep landform rapidly accelerate the speed of flood flow, rivers cannot be a stable source of water supply. Reservoirs become one of the most important and effective floodwater storage facilities. However, real-time operation for reservoir flood control is a continuous and instant decision-making process based on rules, laws, meteorological nowcast, in addition to the immediate rainfall and hydrological data. The achievement of reservoir flood control can effectively mitigate flood disasters and store floodwaters for future uses. In this study, we construct an intelligent decision support system for reservoir flood control through integrating different types of neural networks and the above information to solve this problem. This intelligent reservoir flood control decision support system includes three parts: typhoon track classification, flood forecast and adaptive water release models. This study used the self-organizing map (SOM) for typhoon track clustering, nonlinear autoregressive with exogenous inputs (NARX) for multi-step-ahead reservoir inflow prediction, and adaptive neuro-fuzzy inference system (ANFIS) for reservoir flood control. Before typhoons landfall, we can estimate the entire flood hydrogragh of reservoir inflow by using SOM and make a pre-release strategy and real-time reservoir flood operating by using ANFIS. In the meanwhile, NARX can be constantly used real-time five-hour-ahead inflow prediction for providing the newest flood information. The system has been successfully implemented Typhoons Trami (2013), Fitow (2013) and Matmo (2014) in Shihmen Reservoir.

  14. 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.

  15. A BENCHMARK TO SELECT DATA MINING BASED CLASSIFICATION ALGORITHMS FOR BUSINESS INTELLIGENCE AND DECISION SUPPORT SYSTEMS

    Directory of Open Access Journals (Sweden)

    Pardeep Kumar

    2012-09-01

    Full Text Available In today’s business scenario, we percept major changes in how managers use computerized support inmaking decisions. As more number of decision-makers use computerized support in decision making,decision support systems (DSS is developing from its starting as a personal support tool and is becomingthe common resource in an organization. DSS serve the management, operations, and planning levels of anorganization and help to make decisions, which may be rapidly changing and not easily specified inadvance. Data mining has a vital role to extract important information to help in decision making of adecision support system. It has been the active field of research in the last two-three decades. Integration ofdata mining and decision support systems (DSS can lead to the improved performance and can enable thetackling of new types of problems. Artificial Intelligence methods are improving the quality of decisionsupport, and have become embedded in many applications ranges from ant locking automobile brakes tothese days interactive search engines. It provides various machine learning techniques to support datamining. The classification is one of the main and valuable tasks of data mining. Several types ofclassification algorithms have been suggested, tested and compared to determine the future trends based onunseen data. There has been no single algorithm found to be superior over all others for all data sets.Various issues such as predictive accuracy, training time to build the model, robustness and scalabilitymust be considered and can have tradeoffs, further complex the quest for an overall superior method. Theobjective of this paper is to compare various classification algorithms that have been frequently used indata mining for decision support systems. Three decision trees based algorithms, one artificial neuralnetwork, one statistical, one support vector machines with and without adaboost and one clusteringalgorithm are tested and compared on

  16. 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.

  17. The Acceptability of In-vehicle Intelligent Speed Assistance (ISA) Systems: from Trial Support to Public Support

    NARCIS (Netherlands)

    Vlassenroot, S.H.M.

    2011-01-01

    Speed management is a set of measures to limit negative effects of speed in a transport system. One of the solutions to solve speeding is making the road transport system more intelligent by implementing intelligent speed assistance (ISA). This thesis provides more insight in the factors that can de

  18. Inverting the Army Intelligence Pyramid

    Science.gov (United States)

    2011-05-19

    Counterinsurgency, Company Intelligence Support Team, COIST, HUMINT, SIGINT, MASINT, OSINT 16. SECURITY CLASSIFICATION OF: (U) 17. LIMITATION OF...intelligence ( OSINT ), signals intelligence (SIGINT), and technical intelligence (TECHINT).14 11

  19. The Effects of the Cooperative Learning Method Supported by Multiple Intelligence Theory on Turkish Elementary Students' Mathematics Achievement

    Science.gov (United States)

    Isik, Dilek; Tarim, Kamuran

    2009-01-01

    In the present experimental study, the effects of the cooperative learning method supported by multiple intelligence theory (CLMI) on elementary school fourth grade students' academic achievement and retention towards the mathematics course were investigated. The participants of the study were 150 students who were divided into two experimental…

  20. 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…

  1. The Effects of the Cooperative Learning Method Supported by Multiple Intelligence Theory on Turkish Elementary Students' Mathematics Achievement

    Science.gov (United States)

    Isik, Dilek; Tarim, Kamuran

    2009-01-01

    In the present experimental study, the effects of the cooperative learning method supported by multiple intelligence theory (CLMI) on elementary school fourth grade students' academic achievement and retention towards the mathematics course were investigated. The participants of the study were 150 students who were divided into two experimental…

  2. Person centered prediction of survival in population based screening program by an intelligent clinical decision support system.

    Science.gov (United States)

    Safdari, Reza; Maserat, Elham; Asadzadeh Aghdaei, Hamid; Javan Amoli, Amir Hossein; Mohaghegh Shalmani, Hamid

    2017-01-01

    To survey person centered survival rate in population based screening program by an intelligent clinical decision support system. Colorectal cancer is the most common malignancy and major cause of morbidity and mortality throughout the world. Colorectal cancer is the sixth leading cause of cancer death in Iran. In this survey, we used cosine similarity as data mining technique and intelligent system for estimating survival of at risk groups in the screening plan. In the first step, we determined minimum data set (MDS). MDS was approved by experts and reviewing literatures. In the second step, MDS were coded by python language and matched with cosine similarity formula. Finally, survival rate by percent was illustrated in the user interface of national intelligent system. The national intelligent system was designed in PyCharm environment. Main data elements of intelligent system consist demographic information, age, referral type, risk group, recommendation and survival rate. Minimum data set related to survival comprise of clinical status, past medical history and socio-demographic information. Information of the covered population as a comprehensive database was connected to intelligent system and survival rate estimated for each patient. Mean range of survival of HNPCC patients and FAP patients were respectively 77.7% and 75.1%. Also, the mean range of the survival rate and other calculations have changed with the entry of new patients in the CRC registry by real-time. National intelligent system monitors the entire of risk group and reports survival rates by electronic guidelines and data mining technique and also operates according to the clinical process. This web base software has a critical role in the estimation survival rate in order to health care planning.

  3. An Artificial Intelligence Approach for Groutability Estimation Based on Autotuning Support Vector Machine

    Directory of Open Access Journals (Sweden)

    Hong-Hai Tran

    2014-01-01

    Full Text Available Permeation grouting is a commonly used approach for soil improvement in construction engineering. Thus, predicting the results of grouting activities is a crucial task that needs to be carried out in the planning phase of any grouting project. In this research, a novel artificial intelligence approach—autotuning support vector machine—is proposed to forecast the result of grouting activities that employ microfine cement grouts. In the new model, the support vector machine (SVM algorithm is utilized to classify grouting activities into two classes: success and  failure. Meanwhile, the differential evolution (DE optimization algorithm is employed to identify the optimal tuning parameters of the SVM algorithm, namely, the penalty parameter and the kernel function parameter. The integration of the SVM and DE algorithms allows the newly established method to operate automatically without human prior knowledge or tedious processes for parameter setting. An experiment using a set of in situ data samples demonstrates that the newly established method can produce an outstanding prediction performance.

  4. 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.

  5. The Role of Psychological Symptomatology and Social Support in the Academic Adjustment of Previously Deployed Student Veterans

    Science.gov (United States)

    Campbell, Robyn; Riggs, Shelley A.

    2015-01-01

    Context: Research has indicated that returning Operation Enduring Freedom/Operation Iraqi Freedom (OEF/OIF) veterans are experiencing mental health concerns following deployment. Increasing numbers of veterans are enrolling in higher education institutions; there is a scarcity of empirical research investigating student veterans' experiences as…

  6. Use of depuration compounds in passive air samplers: results from active sampling-supported field deployment, potential uses, and recommendations.

    Science.gov (United States)

    Moeckel, Claudia; Harner, Tom; Nizzetto, Luca; Strandberg, Bo; Lindroth, Anders; Jones, Kevin C

    2009-05-01

    Depuration compounds (DCs) are added to passive air samplers (PAS) prior to deployment to account for the wind-dependency of the sampling rate for gas-phase compounds. This correction is particularly useful for providing comparable data for samplers that are deployed in different environments and subject to different meteorological conditions such as wind speeds. Two types of PAS--the polyurethane foam (PUF) disk sampler and semipermeable membrane devices (SPMDs)--were deployed at eight heights on a 100 m tower to test whether the DC approach could yield air concentrations profiles for PCBs and organochlorine pesticides and account for the wind speed gradient with height. Average wind speeds ranged from 0.3 to 4.5 m s(-1) over the 40 day deployment, increasing with height Two low volume active air samples (AAS), one collected at 25 m and one at 73 m over the 40 day deployment showed no significant concentration differences for target compounds. As expected, the target compounds taken up by PAS reflected the wind profile with height This wind-dependency of the PAS was also reflected in the results of the DCs. A correction based on the DC approach successfully accounted for the effect of wind on PAS sampling rates, yielding a profile consistent with the AAS. Interestingly, in terms of absolute air concentrations, there were differences between the AAS and PAS-derived values for some target compounds. These were attributed to different sampling characteristics of the two approaches that may have resulted in slightly different air masses being sampled. Based on the results of this study, guidelines are presented for the use of DCs and for the calibration of PAS using AAS.

  7. 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.

  8. 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.

  9. Supporting Research and Technology Activities for a Microwave Observing Program to Search for Extraterrestrial Intelligence

    Science.gov (United States)

    Tarter, Jill; Backus, Peter

    1995-01-01

    Curriculum materials based on the search for extraterrestrial intelligence (SETI) were developed for grades 3 through 9 science classes. The project was supported in part by NASA. Six teacher's guides, plus ancillary visuals, addressing topics in astronomy, biology, chemistry, geosciences, and physics as well as mathematics, social sciences, and language arts, were designed by a team of teachers, scientists. curriculum developers, and artists. First drafts were piloted by 10 design team teachers; revised drafts were field tested by 109 teachers in 30 states. Extensive feedback from these teachers and their students and reviews by scientists were used to revise materials prior to submission to the publisher. The field test teachers overall ranking of all guides (data from individual lesson feedback forms) was 431 on a one low to five high scale; 85% found the content appropriate to course and grade level and 75% indicated they had no reservations about using the materials again or recommending them to colleagues. The ratio of liked to disliked student responses (from 1305 student letters) was 70:30. Most recommendations from the teachers, students, and science reviewers were incorporated in the final versions for the guides, published by Libraries Unlimited/Teacher Ideas Press, 1995.

  10. 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

  11. STUDIES TO SUPPORT DEPLOYMENT OF EDIBLE OILS AS THE FINAL CVOC REMEDIATION IN T AREA SUMMARY REPORT

    Energy Technology Data Exchange (ETDEWEB)

    Riha, B; Brian02 Looney, B; Miles Denham, M; Christopher Bagwell, C; Richard Hall, R; Carol Eddy-Dilek, C

    2006-10-31

    The purpose of these studies was to determine the feasibility of using edible oils for remediation of the low but persistent chlorinated solvent (cVOC) groundwater contamination at the SRS T-Area. The following studies were completed: (1) Review of cVOC degradation processes and edible oil delivery for enhanced bioremediation. (2) Column studies to investigate placing neat oil on top of the water table to increase oil saturation and sequestration. (3) Analysis of T-Area groundwater geochemistry to determine the applicability of edible oils for remediation at this site. (4) Microcosm studies to evaluate biotic and abiotic processes for the T-Area groundwater system and evaluation of the existing microbial community with and with out soybean oil amendments. (5) Monitoring of a surrogate vadose zone site undergoing edible oil remediation at the SRS to understand partitioning and biotransformation products of the soybean oil. (6) Design of a delivery system for neat and emulsified edible oil deployment for the T-Area groundwater plume. A corresponding white paper is available for each of the studies listed. This paper provides a summary and overview of the studies completed for the remediation of the T-Area groundwater plume using edible oils. This report begins with a summary of the results and a brief description of the preliminary oil deployment design followed by brief descriptions of T-Area and current groundwater conditions as related to edible oil deployment. This is followed by a review of the remediation processes using edible oils and specific results from modeling, field and laboratory studies. Finally, a description of the preliminary design for full scale oil deployment is presented.

  12. Deployed Analyst History Report, Volume 2. Analytic Support to Combat Operations in the Philippines (2011-2014)

    Science.gov (United States)

    2015-12-01

    essentially 10-30 families bonded together to care for each other, living by agreed upon, oral laws. In the 13th century, the arrival of Muslim...media consumption habits . These questions were included in the fifth wave survey. The survey directly influenced communications strategy at the...physical stress from the long working hours and austere living and working conditions. Deployed ORSA analysts must take time to keep physically fit and

  13. Just a test? Effects of non-supportive intelligence instructions on children’s self-esteem

    Directory of Open Access Journals (Sweden)

    Nantje Otterpohl

    2015-11-01

    Full Text Available Intelligence tests are part of the daily work of psychotherapists and in special needs education. While a number of studies have demonstrated that in conducting intelligence tests the specific test instructions have a substantial impact on test anxiety and test performance, it has been seldom investigated in how far these factors also affect children’s self-esteem after testing. To address this question, we tested N = 31 fifth-grade children in a standardized, individual setting. Children were assigned to two experimental groups (supportive vs. non-supportive intelligence test instruction and a control group. Compared to the other two groups, children of the non-supportive condition showed significant reductions in situational self-esteem directly after test completion and also in overall self-esteem two weeks later. The effects were independent from children’s actual test performance. The findings emphasize that supportive test instructions are not only important for valid assessments of test performance, but also to reduce the emotional costs for the children tested.

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

    NARCIS (Netherlands)

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

    2011-01-01

    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),

  15. 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),

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

    Science.gov (United States)

    2005-04-01

    sthcuationsta rs hr hs waypoint shaigtwr , wouludineedyn tcabe cheanged ornemoesasdo incoming2 intelig nic.atislon possil thatgter hg-ee TTSdcso upr gn...appropriate tools may be an issue. It has traditionally been an assumption in artificial intelligence that capability supersedes performance. This makes... Artificial Intelligence. 47, pp. 139-159. Balch, T., & Arkin, R.C. (1998). Behavior-based formation control for multi-robot teams. IEEE Transactions on

  17. 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).

  18. 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

  19. Prevalence and Correlates of Mental Health Problems in Canadian Forces Personnel Who Deployed in Support of the Mission in Afghanistan: Findings From Postdeployment Screenings, 2009–2012

    Science.gov (United States)

    Zamorski, Mark A; Rusu, Corneliu; Garber, Bryan G

    2014-01-01

    Objective: An important minority of military personnel will experience mental health problems after overseas deployments. Our study sought to describe the prevalence and correlates of postdeployment mental health problems in Canadian Forces personnel. Method: Subjects were 16 193 personnel who completed postdeployment screening after return from deployment in support of the mission in Afghanistan. Screening involved a detailed questionnaire and a 40-minute, semi-structured interview with a mental health clinician. Mental health problems were assessed using the Patient Health Questionnaire and the Posttraumatic Stress Disorder Checklist—Civilian Version. Logistic regression was used to explore independent risk factors for 1 or more of 6 postdeployment mental health problems. Results: Symptoms of 1 or more of 6 mental health problems were seen in 10.2% of people screened; the most prevalent symptoms were those of major depressive disorder (3.2%), minor depression (3.3%), and posttraumatic stress disorder (2.8%). The strongest risk factors for postdeployment mental health problems were past mental health care (adjusted odds ratio [AOR] 2.89) and heavy combat exposure (AOR 2.57 for third tertile, compared with first tertile). These risk groups might be targeted in prevention and control efforts. In contrast to findings from elsewhere, Reservist status, deployment duration, and number of previous deployments had no relation with mental health problems. Conclusions: An important minority of personnel will disclose symptoms of mental health problems during postdeployment screening. Differences in risk factors seen in different nations highlight the need for caution in applying the results of research in one population to another. PMID:25007406

  20. The Intelligent Study Environment Support Technology of Professional Skill Inheritance%职业技能传承智慧学习环境的支撑技术

    Institute of Scientific and Technical Information of China (English)

    曹育红; 袁南辉; 毛俊程

    2016-01-01

    The intelligent study environment during the transmission of cloud platform is vocational skills education resources to serve the mass user groups, support the key to effective gathering huge amounts of data. Intelligent study support technology is the foundation of implement vocational skills inheritance wisdom learning environment. In this paper, on the basis of interpreting the connotation of the intelligent study environment, using third-party cloud platform AppScale to open source projects set up vocational skills study environment. The inheritance intelligent cloud platform is built with a cluster of servers, storage devices and network infrastructure, such as deployment on physical server virtualization component Xen and cloud computing management system, which are used to realize the virtual resource pool management and provide service on demand. The learners are recorded with a motion capture technology in knowledge acquisition and skill inheritance process, such as interaction and collaboration skills training, Physical systems, which are using the information technology from the Internet environment perception on the basis of realizing man, machine, the interconnection of content and depth of fusion. The large-scale streaming media technology in Adobe Connect to the underlying support is used to realize the self-study, self-managements online.%智慧学习环境的云平台是职业技能传承过程中教育资源服务于大规模用户群体、支撑海量数据有效汇聚的关键。智慧学习构建的支撑技术是实现职业技能传承智慧学习环境的基础。该文在阐述智慧学习环境的内涵基础上,利用云平台第三方AppScale开源解决项目搭建职业技能传承智慧学习环境云平台,通过构建服务器集群、存储设备和网络设备等基础设施,在物理服务器上部署虚拟化组件Xen以及云计算管理系统,实现虚拟资源池的管理和按需提供服务。采用动作捕捉技

  1. Phoenix Metropolitan Model Deployment Initiative Evaluation Report

    OpenAIRE

    Zimmerman, C; Marks, J.; Jenq, J.; Cluett, Chris; DeBlasio, Allan; Lappin, Jane; Rakha, Hesham A.; Wunderlich, K

    2000-01-01

    This report presents the evaluation results of the Phoenix, Arizona Metropolitan Model Deployment Initiative (MMDI). The MMDI was a three-year program of the Intelligent Transportation Systems (ITS) Joint Program Office of the U.S. Department of Transportation. It focused on aggressive deployment of ITS at four sites across the United States, including the metropolitan areas of San Antonio, Seattle, NY/NJ/Connecticut as well as Phoenix. The focus of the deployments was on integration of exist...

  2. Bringing Home a Piece of Mars from the Utah Desert: A Canadian Robotic Deployment in Support of Mars Sample Return

    Science.gov (United States)

    Haltigin, T.; Hipkin, V.; Picard, M.

    2016-12-01

    Mars Sample Return (MSR) remains one of the highest priorities of the international planetary science community. While the overall mission architecture required for MSR is relatively well defined, there remain a number of open questions regarding its implementation. In preparing for an eventual MSR campaign, simulating portions of the sample collection mission can provide important insight to address existing knowledge gaps. In 2015 and 2016, the Canadian Space Agency (CSA) led robotic deployments to address a variety of technical, scientific, operational, and educational objectives. Here we report on the results. The deployments were conducted at a field site near Hanskville, UT, USA, chosen to satisfy scientific, technical, and logistical considerations. The geology of the region is dominated by Jurassic-aged sandstones and mudstones, indicative of an ancient sedimentary environment. Moreover, a series of linear topographically inverted features are present, similar to morphologies observed in particular Martian landscapes. On both Earth and Mars, these features are interpreted as lithified and exhumed river channels. A science operations center was established in London, ON, Canada, at Western University. Here, a science team of > 30 students and professionals - unaware of the rover's actual location - were responsible for generating daily science plans, requesting observations, and interpreting downloaded data, all while respecting Mars-realistic flight rules and constraints for power, scheduling, and data. Rover commanding was performed by an engineering team at CSA headquarters in St. Hubert, QC, Canada, while a small out-of-simulation field team was present on-site to ensure safe operations of the rover and to provide data transfers. Between the 2015 and 2016 campaigns, nearly five weeks of operations were conducted. The team successfully collected scientifically-selected samples to address the group objectives, and the rover demonstrated system integration

  3. 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.

  4. 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…

  5. 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…

  6. Integrated Biological Warfare Technology Platform (IBWTP). Intelligent Software Supporting Situation Awareness, Response, and Operations

    Science.gov (United States)

    2007-01-01

    21 4.3.1. Existing Biosurveillance Systems .............................................................. 22 4.3.2. Automatic Integration...Expert Team Risk Assessment Emergency Plans Command Centers IPE – Intelligent Portal - IPE Interactive Knowledge Wall Presentation Collaboration...such as existing biosurveillance systems, information produced via technological approaches can be incorporated into IBWTP in a fairly transparent

  7. Intelligence Support to the Life Science Community: Mitigating Threats from Bioterrorism

    Science.gov (United States)

    2004-01-01

    in Intelligence Vol. 48, No. 3 a variety of highly knowledge- able sources. Mitchel Wallerstein , former deputy assistant secre- tary of defense for...that are immediately 35 M. B. Wallerstein , “Science in an Age of Terrorism.” Science 297 (27 September 2002): 2169. applicable to the development of

  8. A Nursing Intelligence System to Support Secondary Use of Nursing Routine Data

    Science.gov (United States)

    Rauchegger, F.; Ammenwerth, E.

    2015-01-01

    Summary Background Nursing care is facing exponential growth of information from nursing documentation. This amount of electronically available data collected routinely opens up new opportunities for secondary use. Objectives To present a case study of a nursing intelligence system for reusing routinely collected nursing documentation data for multiple purposes, including quality management of nursing care. Methods The SPIRIT framework for systematically planning the reuse of clinical routine data was leveraged to design a nursing intelligence system which then was implemented using open source tools in a large university hospital group following the spiral model of software engineering. Results The nursing intelligence system is in routine use now and updated regularly, and includes over 40 million data sets. It allows the outcome and quality analysis of data related to the nursing process. Conclusions Following a systematic approach for planning and designing a solution for reusing routine care data appeared to be successful. The resulting nursing intelligence system is useful in practice now, but remains malleable for future changes. PMID:26171085

  9. Self-Deployable Membrane Structures

    Science.gov (United States)

    Sokolowski, Witold M.; Willis, Paul B.; Tan, Seng C.

    2010-01-01

    Currently existing approaches for deployment of large, ultra-lightweight gossamer structures in space rely typically upon electromechanical mechanisms and mechanically expandable or inflatable booms for deployment and to maintain them in a fully deployed, operational configuration. These support structures, with the associated deployment mechanisms, launch restraints, inflation systems, and controls, can comprise more than 90 percent of the total mass budget. In addition, they significantly increase the stowage volume, cost, and complexity. A CHEM (cold hibernated elastic memory) membrane structure without any deployable mechanism and support booms/structure is deployed by using shape memory and elastic recovery. The use of CHEM micro-foams reinforced with carbon nanotubes is considered for thin-membrane structure applications. In this advanced structural concept, the CHEM membrane structure is warmed up to allow packaging and stowing prior to launch, and then cooled to induce hibernation of the internal restoring forces. In space, the membrane remembers its original shape and size when warmed up. After the internal restoring forces deploy the structure, it is then cooled to achieve rigidization. For this type of structure, the solar radiation could be utilized as the heat energy used for deployment and space ambient temperature for rigidization. The overall simplicity of the CHEM self-deployable membrane is one of its greatest assets. In present approaches to space-deployable structures, the stow age and deployment are difficult and challenging, and introduce a significant risk, heavy mass, and high cost. Simple procedures provided by CHEM membrane greatly simplify the overall end-to-end process for designing, fabricating, deploying, and rigidizing large structures. The CHEM membrane avoids the complexities associated with other methods for deploying and rigidizing structures by eliminating deployable booms, deployment mechanisms, and inflation and control systems

  10. Towards a cross-platform software framework to support end-to-end hydrometeorological sensor network deployment

    Science.gov (United States)

    Celicourt, P.; Sam, R.; Piasecki, M.

    2016-12-01

    Global phenomena such as climate change and large scale environmental degradation require the collection of accurate environmental data at detailed spatial and temporal scales from which knowledge and actionable insights can be derived using data science methods. Despite significant advances in sensor network technologies, sensors and sensor network deployment remains a labor-intensive, time consuming, cumbersome and expensive task. These factors demonstrate why environmental data collection remains a challenge especially in developing countries where technical infrastructure, expertise and pecuniary resources are scarce. In addition, they also demonstrate the reason why dense and long-term environmental data collection has been historically quite difficult. Moreover, hydrometeorological data collection efforts usually overlook the (critically important) inclusion of a standards-based system for storing, managing, organizing, indexing, documenting and sharing sensor data. We are developing a cross-platform software framework using the Python programming language that will allow us to develop a low cost end-to-end (from sensor to publication) system for hydrometeorological conditions monitoring. The software framework contains provision for sensor, sensor platforms, calibration and network protocols description, sensor programming, data storage, data publication and visualization and more importantly data retrieval in a desired unit system. It is being tested on the Raspberry Pi microcomputer as end node and a laptop PC as the base station in a wireless setting.

  11. Regulatory Assistance, Stakeholder Outreach, and Coastal and Marine Spatial Planning Activities in Support of Marine and Hydrokinetic Energy Deployment

    Energy Technology Data Exchange (ETDEWEB)

    Geerlofs, Simon H.; Copping, Andrea E.; Van Cleve, Frances B.; Blake, Kara M.; Hanna, Luke A.

    2011-09-30

    This fiscal year 2011 progress report summarizes activities carried out under DOE Water Power Task 2.1.7, Permitting and Planning. Activities under Task 2.1.7 address the concerns of a wide range of stakeholders with an interest in the development of the marine and hydrokinetic (MHK) energy industry, including regulatory and resource management agencies, tribes, nongovernmental organizations, and industry. Objectives for Task 2.1.7 are the following: • to work with stakeholders to streamline the MHK regulatory permitting process • to work with stakeholders to gather information on needs and priorities for environmental assessment of MHK development • to communicate research findings and directions to the MHK industry and stakeholders • to engage in spatial planning processes in order to further the development of the MHK industry. These objectives are met through three subtasks, each of which is described in this report: • 2.1.7.1—Regulatory Assistance • 2.1.7.2—Stakeholder Outreach • 2.1.7.3—Coastal and Marine Spatial Planning. As MHK industry partners work with the regulatory community and stakeholders to plan, site, permit, and license MHK technologies, they have an interest in a predictable, efficient, and transparent process. Stakeholders and regulators have an interest in processes that result in sustainable use of ocean space with minimal effects to existing ocean users. Both stakeholders and regulators have an interest in avoiding legal challenges by meeting the intent of federal, state, and local laws that govern siting and operation of MHK technologies. The intention of work under Task 2.1.7 is to understand and work to address these varied interests, reduce conflict, identify efficiencies, and ultimately reduce the regulatory costs, time, and potential environmental impacts associated with developing, siting, permitting, and deploying MHK systems.

  12. 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.

  13. Optimizing Classification in Intelligence Processing

    Science.gov (United States)

    2010-12-01

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

  14. 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.

  15. Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities

    Science.gov (United States)

    2011-06-01

    strategies including (DARPA, 2011a): • Intelligent interruption to improve limited working memory ; • Attention management to improve focus during...complex tasks; • Cued memory retrieval to improve situational awareness and context recovery; • Modality switching (i.e., audio, visual) to increase...www.biometry.com www.handresearch.com Vein pattern palm reading by Fujitsu www.dealspwn.com 16 Augmented Cognition / Brain Computer Interfaces NeuroSky MindSet OCZ

  16. "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.

  17. IJS: An Intelligent Junction Selection Based Routing Protocol for VANET to Support ITS Services.

    Science.gov (United States)

    Bhoi, Sourav Kumar; Khilar, Pabitra Mohan

    2014-01-01

    Selecting junctions intelligently for data transmission provides better intelligent transportation system (ITS) services. The main problem in vehicular communication is high disturbances of link connectivity due to mobility and less density of vehicles. If link conditions are predicted earlier, then there is a less chance of performance degradation. In this paper, an intelligent junction selection based routing protocol (IJS) is proposed to transmit the data in a quickest path, in which the vehicles are mostly connected and have less link connectivity problem. In this protocol, a helping vehicle is set at every junction to control the communication by predicting link failures or network gaps in a route. Helping vehicle at the junction produces a score for every neighboring junction to forward the data to the destination by considering the current traffic information and selects that junction which has minimum score. IJS protocol is implemented and compared with GyTAR, A-STAR, and GSR routing protocols. Simulation results show that IJS performs better in terms of average end-to-end delay, network gap encounter, and number of hops.

  18. Deployment Repeatability

    Science.gov (United States)

    2016-08-31

    potential future space-based mission through large-scale, ground-based testing. Full-scale deployment testing of two petal segments combined with...capture data for incorporation into larger analysis models. Stability testing of two full-scale composite strongback segments , including in a relevant...errors. The NuSTAR project opted for a metrology and adjustment system, which had many advantages for the project and few disadvantages . Because a

  19. Deployment Repeatability

    Science.gov (United States)

    2016-04-01

    controlled to great precision, but in a Cubesat , there may be no attitude determination at all. Such a Cubesat might treat sun angle and tumbling rates as...could be sensitive to small differences in motor controller timing. In these cases, the analyst might choose to model the entire deployment path, with...knowledge of the material damage model or motor controller timing precision. On the other hand, if many repeated and environmentally representative

  20. Deployment Guide

    Science.gov (United States)

    1994-02-01

    family/unit briefings (to include POA/wills/ consumer law /insurance war clauses) - Provide fill-in-blank sheets to send coordinators of pre- deployment...services. 2. SGLI designations and "By Law" implications. 3. Wills for both spouses. 4. Powers of Attorney. 5. Consumer law issues. 1-7 B. Typically...Relief Act JA 261 Real Property Guide JA 262 Wills Guide JA 263 Family Law Guide JA 265 Consumer Law Guide JA 267 Legal Assistance Office Directory

  1. The Use of Business Intelligence Tool to Support Business Decision Making : BI on Product Portfolio Decision to a New Product of MLS Company

    OpenAIRE

    Liu, Yiling

    2015-01-01

    Business intelligence is a term that be mentioned very often in recent years. More and more organizations applied business intelligence to survive and to be more competitive than before. Simultaneously, a lot of BI tool suppliers emerge in this market. Besides, most nowadays BI tool supports self-service without professional IT background requirements. Decision makers benefits a lot from BI tool utilization. The purpose of this thesis is to explore BI capabilities and how BI tool could a...

  2. Towards a Software Framework to Support Deployment of Low Cost End-to-End Hydroclimatological Sensor Network

    Science.gov (United States)

    Celicourt, P.; Piasecki, M.

    2015-12-01

    Deployment of environmental sensors assemblies based on cheap platforms such as Raspberry Pi and Arduino have gained much attention over the past few years. While they are more attractive due to their ability to be controlled with a few programming language choices, the configuration task can become quite complex due to the need of having to learn several different proprietary data formats and protocols which constitute a bottleneck for the expansion of sensor network. In response to this rising complexity the Institute of Electrical and Electronics Engineers (IEEE) has sponsored the development of the IEEE 1451 standard in an attempt to introduce a common standard. The most innovative concept of the standard is the Transducer Electronic Data Sheet (TEDS) which enables transducers to self-identify, self-describe, self-calibrate, to exhibit plug-and-play functionality, etc. We used Python to develop an IEEE 1451.0 platform-independent graphical user interface to generate and provide sufficient information about almost ANY sensor and sensor platforms for sensor programming purposes, automatic calibration of sensors data, incorporation of back-end demands on data management in TEDS for automatic standard-based data storage, search and discovery purposes. These features are paramount to make data management much less onerous in large scale sensor network. Along with the TEDS Creator, we developed a tool namely HydroUnits for three specific purposes: encoding of physical units in the TEDS, dimensional analysis, and on-the-fly conversion of time series allowing users to retrieve data in a desired equivalent unit while accommodating unforeseen and user-defined units. In addition, our back-end data management comprises the Python/Django equivalent of the CUAHSI Observations Data Model (ODM) namely DjangODM that will be hosted by a MongoDB Database Server which offers more convenience for our application. We are also developing a data which will be paired with the data

  3. Research Managers at Jamaica's National University Are Strategically Deploying a Modest Research Development Fund in Support of Impactful Research

    Science.gov (United States)

    Ivey, Paul W.; Henry, Martin

    2016-01-01

    The purpose of this paper is to highlight, using examples, how the University of Technology, Jamaica (UTech, Jamaica) is strategically using a modest internal research development fund, which is managed by the research managers in its research and innovation management office, to support impactful research projects. Critical reflection and the…

  4. Evaluating the impact and costs of deploying an electronic medical record system to support TB treatment in Peru

    Science.gov (United States)

    Fraser, Hamish SF; Blaya, Joaquin; Choi, Sharon S; Bonilla, Cesar; Jazayeri, Darius

    2006-01-01

    The PIH-EMR is a Web based electronic medical record that has been in operation for over four years in Peru supporting the treatment of drug resistant TB. We describe here the types of evaluations that have been performed on the EMR to assess its impact on patient care, reporting, logistics and observational research. Formal studies have been performed on components for drug order entry, drug requirements prediction tools and the use of PDAs to collect bacteriology data. In addition less formal data on the use of the EMR for reporting and research are reviewed. Experience and insights from porting the PIH-EMR to the Philippines, and modifying it to support HIV treatment in Haiti and Rwanda are discussed. We propose that additional data of this sort is valuable in assessing medical information systems especially in resource poor areas. PMID:17238344

  5. 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.

  6. Distress, support, and relationship satisfaction during military-induced separations: a longitudinal study among spouses of Dutch deployed military personnel.

    Science.gov (United States)

    Andres, Manon

    2014-02-01

    The aim of this study was to examine (a) how life stress, work-family conflict, social support, psychological distress, and relationship satisfaction develop over the course of military-induced separations; (b) what best predicts relationship satisfaction after being separated for several months; and (c) whether the effects were mediated by spousal interaction. Longitudinal data were collected among 153 spouses of Dutch military personnel before, during, and after military-induced separations. Analyses demonstrated a significant decrease in relationship satisfaction, psychological distress, and social support over time. Controlling for predeployment levels of relationship satisfaction, work-family conflict, social support, psychological distress, and spousal interaction made significant contributions to the explanation of relationship satisfaction after military-induced separations. However, the effects on relationships varied for each stage of the work-related spousal separation. Hence, clinical implications for psychological service delivery suggested by these findings are impacted by the stage of the work-related spousal separation. Specifically, before the separation, services might focus upon balancing work and family demands; during the separation, services that facilitate building networks are important; and finally, communication remains the key service focus upon reunion.

  7. 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.

  8. Does Supporting Multiple Student Strategies Lead to Greater Learning and Motivation? Investigating a Source of Complexity in the Architecture of Intelligent Tutoring Systems

    Science.gov (United States)

    Waalkens, Maaike; Aleven, Vincent; Taatgen, Niels

    2013-01-01

    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. But does greater freedom mean that students…

  9. 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

    2013-01-01

    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.

  10. Deploying a culture change programme management approach in support of information and communication technology developments in Greater Glasgow NHS Board.

    Science.gov (United States)

    Frame, Joanne; Watson, Janice; Thomson, Katie

    2008-06-01

    This article reports on the project management and Culture Change Programme adopted by the NHS Greater Glasgow Health Board to deliver an electronic patient record (EPR) to support cardiology and stroke clinical services. To achieve its vision for the EPR (;to "really make a difference" to patient care by providing to the right person, the right information, under the right safeguards') the Board recognized that attending to social and organizational issues is at least of equal importance to addressing strictly technical concerns. Consequently, an ICT Culture Change Programme (ICT CCP) was devised and implemented to assist in the management of change, and in particular to facilitate a visionary clinical and cultural environment operating in conjunction with the evolving technical environment. In this article we describe the key components of this approach, outline the benefits we believe have accrued, and describe the steps being taken to build upon lessons learned.

  11. 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.

  12. 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.

  13. The Warfighter Associate: decision-support software agent for the management of intelligence, surveillance, and reconnaissance (ISR) assets

    Science.gov (United States)

    Buchler, Norbou; Marusich, Laura R.; Sokoloff, Stacey

    2014-06-01

    A unique and promising intelligent agent plug-in technology for Mission Command Systems— the Warfighter Associate (WA)— is described that enables individuals and teams to respond more effectively to the cognitive challenges of Mission Command, such as managing limited intelligence, surveillance, and reconnaissance (ISR) assets and information sharing in a networked environment. The WA uses a doctrinally-based knowledge representation to model role-specific workflows and continuously monitors the state of the operational environment to enable decision-support, delivering the right information to the right person at the right time. Capabilities include: (1) analyzing combat events reported in chat rooms and other sources for relevance based on role, order-of-battle, time, and geographic location, (2) combining seemingly disparate pieces of data into meaningful information, (3) driving displays to provide users with map based and textual descriptions of the current tactical situation, and (4) recommending courses of action with respect to necessary staff collaborations, execution of battle-drills, re-tasking of ISR assets, and required reporting. The results of a scenario-based human-in-the-loop experiment are reported. The underlying WA knowledge-graph representation serves as state traces, measuring aspects of Soldier decision-making performance (e.g. improved efficiency in allocating limited ISR assets) across runtime as dynamic events unfold on a simulated battlefield.

  14. 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.

  15. The Use of Means of Artificial Intelligence for the Decision Making Support on Financial Market

    OpenAIRE

    Vrba, Patrik

    2011-01-01

    Diplomová práce se zaměřuje na aplikaci nástrojů umělé inteligence pro predikce vývoje finančních trhů. Hlavní důraz je kladen na vyhodnocení využitelnosti neuronových sítí, pro stanovení predikcí na devizových trzích. Zároveň je poskytnut návrh řešení, pro plně automatizované zpracování tržních dat a následné generování obchodních příkazů. This Master's thesis focuses on applying artificial intelligence tools for the prediction of development financial markets. Major emphasis is placed on...

  16. Searching for order within chaos: complexity theory’s implications to intelligence support during joint operational planning.

    Science.gov (United States)

    2017-06-09

    subsumes Chaos Theory, Complexity Theory techniques have been evaluated to identify potential utilization during joint intelligence analysis ...Although joint intelligence analysis describes analyzing systems from a holistic systems perspective, most analytic techniques are reductionist in nature... Intelligence Analysis , Joint Operational Planning, Cellular Automata, Agent-Based Modeling 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT 18

  17. PROSPECTS FOR DEPLOYMENT OF DECISION SUPPORT SYSTEM FOR THE ADEQUACY OF THE LEVEL OF LENDING TO SMALL AGRICULTURAL COMPANIES IN THE CLOUD ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    Baranovskaya T. P.

    2015-10-01

    Full Text Available This article describes the opportunities and prospects for the deployment of decision support system for the adequacy of the level of lending to small agricultural enterprises in the cloud environment. It reveals the shortcomings in the existing automation of small businesses, and therefore the necessity of developing a system to enable managers to quickly and correctly calculate the amount of required loan funds. The developed system has the ability to work remotely due to the lack of binding the user to a specific personal computer. It is implemented through the development of a DSS using cloud computing, in which computer resources are provided to the Internet users in the form of "online service". The article describes the architecture of popular models and cloud Webapplications; after that, it was concluded to use the Saas model with Multi-Tenant-mode support in the model development. The study provides an overview of the DSS functioning in the cloud. It has noted the main features of the software implementation of the system relating to the use of cloud technologies. We have calculated the cost of placing an application in the cloud via the online cost calculator called Microsoft Azure. We have also performed a preliminary assessment of the payback period of the project implementation of DSS. It is concluded, that this technology would be competitive at the software market

  18. Research on an Intelligent Decision Support System for a Conceptual Innovation Design of Pumping Units Based on TRIZ

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Attention is concentrated on how to perform the innovative design during the process of pumping unit conceptual design, and how to enhance design efficiency and inspire creativity. Aiming at the shortages of conceptual design, introducing the theory of inventive problem solving (TRIZ) into the mechanical product design for producing innovative ideas, and using the advanced computer-aided technique, the intelligent decision support system (IDSS) based on TRIZ (TRIZ-IDSS) has been constructed. The construction method, system structure, conceptual production, decision-making and evaluation of the problem solving subsystem are discussed. The innovative conceptual design of pumping units indicates that the system can help the engineers open up a new space of thinking, overcome the thinking inertia, and put forward innovative design concepts. This system also can offer the scientific instructions for the innovative design of mechanical products.

  19. Antecedents of organizational engagement: Exploring vision, mood and perceived organizational support with emotional intelligence as a moderator

    Directory of Open Access Journals (Sweden)

    Edward G. Mahon

    2014-11-01

    Full Text Available As organizational leaders worry about the appalling low percentage of people who feel engaged in their work, academics are trying to understand what causes an increase in engagement. We collected survey data from 231 team members from two organizations. We examined the impact of team members’ emotional intelligence (EI and their perception of shared personal vision, shared positive mood, and perceived organizational support (POS on the members’ degree of organizational engagement. We found shared vision, shared mood, and POS have a direct, positive association with engagement. In addition, shared vision and POS interact with EI to positively influence engagement. Besides highlighting the importance of shared personal vision, positive mood, and POS, our study contributes to the emergent understanding of EI by revealing EI’s amplifying effect on shared vision and POS in relation to engagement. We conclude by discussing the research and practical implications of this study.

  20. Antecedents of organizational engagement: exploring vision, mood and perceived organizational support with emotional intelligence as a moderator

    Science.gov (United States)

    Mahon, Edward G.; Taylor, Scott N.; Boyatzis, Richard E.

    2014-01-01

    As organizational leaders worry about the appalling low percentage of people who feel engaged in their work, academics are trying to understand what causes an increase in engagement. We collected survey data from 231 team members from two organizations. We examined the impact of team members’ emotional intelligence (EI) and their perception of shared personal vision, shared positive mood, and perceived organizational support (POS) on the members’ degree of organizational engagement. We found shared vision, shared mood, and POS have a direct, positive association with engagement. In addition, shared vision and POS interact with EI to positively influence engagement. Besides highlighting the importance of shared personal vision, positive mood, and POS, our study contributes to the emergent understanding of EI by revealing EI’s amplifying effect on shared vision and POS in relation to engagement. We conclude by discussing the research and practical implications of this study. PMID:25477845

  1. Antecedents of organizational engagement: exploring vision, mood and perceived organizational support with emotional intelligence as a moderator.

    Science.gov (United States)

    Mahon, Edward G; Taylor, Scott N; Boyatzis, Richard E

    2014-01-01

    As organizational leaders worry about the appalling low percentage of people who feel engaged in their work, academics are trying to understand what causes an increase in engagement. We collected survey data from 231 team members from two organizations. We examined the impact of team members' emotional intelligence (EI) and their perception of shared personal vision, shared positive mood, and perceived organizational support (POS) on the members' degree of organizational engagement. We found shared vision, shared mood, and POS have a direct, positive association with engagement. In addition, shared vision and POS interact with EI to positively influence engagement. Besides highlighting the importance of shared personal vision, positive mood, and POS, our study contributes to the emergent understanding of EI by revealing EI's amplifying effect on shared vision and POS in relation to engagement. We conclude by discussing the research and practical implications of this study.

  2. 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

  3. PROTEGE-II: computer support for development of intelligent systems from libraries of components.

    Science.gov (United States)

    Musen, M A; Gennari, J H; Eriksson, H; Tu, S W; Puerta, A R

    1995-01-01

    PROTEGE-II is a suite of tools that facilitates the development of intelligent systems. A tool called MAiTRE allows system builders to create and refine abstract models (ontologies) of application domains. A tool called DASH takes as input a modified domain ontology and generates automatically a knowledge-acquisition tool that application specialists can use to enter the detailed content knowledge required to define particular applications. The domain-dependent knowledge entered into the knowledge-acquisition tool is used by assemblies of domain-independent problem-solving methods that provide the computational strategies required to solve particular application tasks. The result is an architecture that offers a divide-and-conquer approach that separates system-building tasks that require skill in domain analysis and modeling from those that require simple entry of content knowledge. At the same time, applications can be constructed from libraries of component--of both domain ontologies and domain-independent problem-solving methods--allowing the reuse of knowledge and facilitating ongoing system maintenance. We have used PROTEGE-II to construct a number of knowledge-based systems, including the reasoning components of T-Helper, which assists physicians in the protocol-based care of patients who have HIV infection.

  4. 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...

  5. 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...

  6. 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.

  7. 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

  8. The impact of fathers' military deployment on child adjustment. The support needs of primary school children and their families separated during active military service: A pilot study.

    Science.gov (United States)

    Pexton, Sharon; Farrants, Jacqui; Yule, William

    2017-09-01

    Although direct exposure to war-related trauma negatively impacts children's psychological well-being, little is known about this impact within the context of parental military deployment to a combat zone and 'indirect' experience of the effects of armed conflict. This study investigates the impact of father's military deployment to Afghanistan on child well-being in primary schoolchildren and compares measures of adjustment with a matched group of children with fathers deployed on military training (non-combat) deployment. Data were collected within primary schools in 2011-2012 from 52 children aged 8-11 years with fathers deploying to Afghanistan ( n = 26) and fathers deploying on military training ( n = 26) via self-completion of questionnaires assessing symptoms of anxiety, depression, stress and levels of self-esteem. Data were collected in both groups, at pre-, mid- and post-parental deployment. Class teachers and parents (non-deployed) completed a measure of child behaviour and parents completed a measure of parenting stress and general health. Unexpectedly child adjustment difficulties were not significantly raised in children whose parents deployed to Afghanistan. Ratings of behavioural difficulties and depression were low in both groups. However, clinically elevated levels of anxiety and stress symptoms were reported by both groups of children at each stage of deployment. No associations between parental stress, parental mental health and child adjustment were found. High levels of children's anxiety and stress reported during fathers' active military service warrant further investigation. Implications for school and health monitoring and CAMHS community liaison work are discussed.

  9. 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...

  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. An Intelligent Ecosystem for Providing Support in Prehospital Trauma Care in Cuenca, Ecuador.

    Science.gov (United States)

    Timbi-Sisalima, Cristian; Rodas, Edgar B; Salamea, Juan C; Sacoto, Hernán; Monje-Ortega, Diana; Robles-Bykbaev, Vladimir

    2015-01-01

    According to facts given by the World Health Organization, one in ten deaths worldwide is due to an external cause of injury. In the field of pre-hospital trauma care, adequate and timely treatment in the golden period can impact the survival of a patient. The aim of this paper is to show the design of a complete ecosystem proposed to support the evaluation and treatment of trauma victims, using standard tools and vocabulary such as OpenEHR, as well as mobile systems and expert systems to support decision-making. Preliminary results of the developed applications are presented, as well as trauma-related data from the city of Cuenca, Ecuador.

  12. 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.

  13. INTELLIGENT STRATEGIES AS A SUPPORT FOR BUSINESS PROCESS AUDITING - RESEARCH DIRECTIONS

    OpenAIRE

    LIANA ELEFTERIE; ELENA RUSE

    2011-01-01

    In this paper we investigate the most recent techniques that support the auditor in his audit activity. The review and evaluation process of internal accounting and financial control systems represents a major task to auditors and management due to the professional, legal, and economic concerns. Furthermore, there are other many reasons for the auditor to be able to effectively review and evaluate internal accounting and financial control systems; among them the economic reason becomes domina...

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

    Science.gov (United States)

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

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

    CERN Document Server

    Bennett, Casey; 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. Methods: We describe a case study of 423 patients treated by Centerstone within Tennessee and Indiana in which we utilized electronic health record data to generate predictive algorithms of individual patient treatment response. Multiple models were constructed using predictor variables derived from clinical, financial and geographic data. Results: For the 423 patients, 101 deteriorated, 223 improved and in 99 there was no change in clinical condition. Based on modeling of various clinical indicators at baseline, the high...

  16. 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.

  17. 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 (pdiagnostic DSSs to that described in the present study, i.e., visual diagnostic DSS, thereby demonstrating the benefits of using hybrid image processing and ML-based computer-aided diagnostics for identifying facial phenotypes. Copyright © 2014. Published by Elsevier B.V.

  18. 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

  19. 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.

  20. 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)

  1. Towards Intelligent Supply Chains

    DEFF Research Database (Denmark)

    Siurdyban, Artur; Møller, Charles

    2012-01-01

    applied to the context of organizational processes can increase the success rate of business operations. The framework is created using a set of theoretical based constructs grounded in a discussion across several streams of research including psychology, pedagogy, artificial intelligence, learning...... of deploying inapt operations leading to deterioration of profits. To address this problem, we propose a unified business process design framework based on the paradigm of intelligence. Intelligence allows humans and human-designed systems cope with environmental volatility, and we argue that its principles......, business process management and supply chain management. It outlines a number of system tasks combined in four integrated management perspectives: build, execute, grow and innovate, put forward as business process design propositions for Intelligent Supply Chains....

  2. Towards Intelligent Supply Chains

    DEFF Research Database (Denmark)

    Siurdyban, Artur; Møller, Charles

    2012-01-01

    of deploying inapt operations leading to deterioration of profits. To address this problem, we propose a unified business process design framework based on the paradigm of intelligence. Intelligence allows humans and human-designed systems cope with environmental volatility, and we argue that its principles...... applied to the context of organizational processes can increase the success rate of business operations. The framework is created using a set of theoretical based constructs grounded in a discussion across several streams of research including psychology, pedagogy, artificial intelligence, learning......, business process management and supply chain management. It outlines a number of system tasks combined in four integrated management perspectives: build, execute, grow and innovate, put forward as business process design propositions for Intelligent Supply Chains....

  3. An Action Design Research on development and deployment of a computer-based group discussion support tool for achieving consensus and culture change at an educational institution

    NARCIS (Netherlands)

    Lee Mui Suan, Jaclyn; Hillegersberg, van Jos; Kumar, K.

    2015-01-01

    Organisational culture change is a long and complex process that typically takes years to complete and has a very low success rate. This project addresses the problem by the proposed use of an Action Design Research Methodology to build and deploy an IT artifact named Organisational Culture Assessme

  4. Development and implementation of a NATO-wide state-of-the-art interim geospatial intelligence support tool

    Science.gov (United States)

    Teufert, John F.

    2004-09-01

    In order to enhance operational planning capabilities of the NATO Force Headquarters (KFOR, SFOR, ISAF), the NC3A Geo Team has developed a web-based interim geospatial intelligence support tool (IGEOSIT). The NC3A IGEOSIT displays geospatial data, such as digital topographic maps and satellite/air photo imagery, together with selectable overlay objects retrieved from distributed operational databases (DBs), for example minefields, bridges, culverts and military units. The NC3A IGEOSIT is a state-of-the-art web-based and Java-based multi-tier solution consisting of applications distributed over multiple servers within each Force HQ. The IGEOSIT provides advanced GIS terrain analysis capabilities based on the available Geo-data, including line-of-sight, 3-D perspective views, terrain profiles, and the definition of go/no-go areas. The system also performs vector-based route analysis and enhances the real-time tracking capabilities of mobile vehicles and troops. The IGEOSIT analyzes overlay data sets according to their attributes and dependencies in order to highlight otherwise hidden spatial relations that may be critical for mission planning. After performing geospatial analysis, the system compiles maps automatically to provide the user with immediate hard copy results, according to NATO standards, if necessary. The successful implementation of the IGEOSIT currently provides all NATO FORCE HQ staff members with a common operational picture of the theatre. This ensures that a common set of recently-updated information overlays forms the basis for all operational decisions. This paper describes the architecture, technology, performance tests (including test environment, analysis and measurement tools, hardware, selected test scenarios and results) and the lessons learned implementing advanced network and Java-based multi-tier solutions within the NATO Force Headquarters.

  5. Deployment-related Respiratory Issues.

    Science.gov (United States)

    Morris, Michael J; Rawlins, Frederic A; Forbes, Damon A; Skabelund, Andrew J; Lucero, Pedro F

    2016-01-01

    Military deployment to Southwest Asia since 2003 in support of Operations Enduring Freedom/Iraqi Freedom/New Dawn has presented unique challenges from a pulmonary perspective. Various airborne hazards in the deployed environment include suspended geologic dusts, burn pit smoke, vehicle exhaust emissions, industrial air pollution, and isolated exposure incidents. These exposures may give rise to both acute respiratory symptoms and in some instances development of chronic lung disease. While increased respiratory symptoms during deployment are well documented, there is limited data on whether inhalation of airborne particulate matter is causally related to an increase in either common or unique pulmonary diseases. While disease processes such as acute eosinophilic pneumonia and exacerbation of preexisting asthma have been adequately documented, there is significant controversy surrounding the potential effects of deployment exposures and development of rare pulmonary disorders such as constrictive bronchiolitis. The role of smoking and related disorders has yet to be defined. This article presents the current evidence for deployment-related respiratory symptoms and ongoing Department of Defense studies. Further, it also provides general recommendations for evaluating pulmonary health in the deployed military population.

  6. The effect of military deployment on mental health

    DEFF Research Database (Denmark)

    Lyk-Jensen, Stéphanie; Weatherall, Cecilie Dohlmann; W. Jepsen, Peter

    In this paper we estimate the causal effect of military deployment on soldiers’ mental health. To handle the selection bias problem, we use longitudinal data for deployed and non-deployed eligible men in a difference-in-differences setting. Using pair-wise matching, we impute deployment dates...... for important variables like intelligence tests and family background. We find significant adverse effects of military deployment on soldiers’ mental health service use. Highlights: - Causal effect of military deployment on soldiers’ use of mental health service - Using a difference-in-differences approach...... - First evidence relying on administrative records of measures of mental health service use - Significant adverse effects of military deployment on soldiers’ mental health service use....

  7. The effect of military deployment on mental health

    DEFF Research Database (Denmark)

    Lyk-Jensen, Stéphanie; Weatherall, Cecilie Dohlmann; W. Jepsen, Peter

    In this paper we estimate the causal effect of military deployment on soldiers’ mental health. To handle the selection bias problem, we use longitudinal data for deployed and non-deployed eligible men in a difference-in-differences setting. Using pair-wise matching, we impute deployment dates...... for important variables like intelligence tests and family background. We find significant adverse effects of military deployment on soldiers’ mental health service use. Highlights: - Causal effect of military deployment on soldiers’ use of mental health service - Using a difference-in-differences approach...... - First evidence relying on administrative records of measures of mental health service use - Significant adverse effects of military deployment on soldiers’ mental health service use....

  8. Synchronously Deployable Truss Structures

    Science.gov (United States)

    Rhodes, M. D.; Hedgepeth, J. M.

    1986-01-01

    Structure lightweight, readily deployed, and has reliable joints. New truss concept, designated as "pac truss," developed. Features easy deployment without need for complex mechanisms. Structures of this type deployed in free flight by controlled release of stored energy in torsional springs at selected hinges located throughout structure. Double-folding technique used in beam model applicable to flat planar trusses, allowing structures of large expanse to fold into compact packages and be deployed for space-platform applications.

  9. Fractionating human intelligence.

    Science.gov (United States)

    Hampshire, Adam; Highfield, Roger R; Parkin, Beth L; Owen, Adrian M

    2012-12-20

    What makes one person more intellectually able than another? Can the entire distribution of human intelligence be accounted for by just one general factor? Is intelligence supported by a single neural system? Here, we provide a perspective on human intelligence that takes into account how general abilities or "factors" reflect the functional organization of the brain. By comparing factor models of individual differences in performance with factor models of brain functional organization, we demonstrate that different components of intelligence have their analogs in distinct brain networks. Using simulations based on neuroimaging data, we show that the higher-order factor "g" is accounted for by cognitive tasks corecruiting multiple networks. Finally, we confirm the independence of these components of intelligence by dissociating them using questionnaire variables. We propose that intelligence is an emergent property of anatomically distinct cognitive systems, each of which has its own capacity.

  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. 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…

  12. Your Verbal Zone: An Intelligent Computer-Assisted Language Learning Program in Support of Turkish Learners' Vocabulary Learning

    Science.gov (United States)

    Esit, Omer

    2011-01-01

    This study investigated the effectiveness of an intelligent computer-assisted language learning (ICALL) program on Turkish learners' vocabulary learning. Within the scope of this research, an ICALL application with a morphological analyser (Your Verbal Zone, YVZ) was developed and used in an English language preparatory class to measure its…

  13. Improving the Intelligence Community’s Declassification Process and the Community’s Support to the National Declassification Center

    Science.gov (United States)

    2016-12-01

    scope, moreover, could be expanded at the discretion of the IMC chair to examine other declassification programs. Crafting declassification...System Network. JWICS is a Top Secret/ SCI network run by the Defense Intelligence Agency, and is used across the Department of Defense, Department of...identification. The NDC should now build on this success with new authorities, additional resources, and expanded declassification community

  14. Advanced decision support techniques in combination with smart card and local operating network technologies for intelligent energy management in buildings

    NARCIS (Netherlands)

    Kolokotsa, D.; Kalaitzakis, K.; Stavrakakis, G.; Sutherland, G.; Santamouris, M.; Soultanidis, S.; Moumtzis, P.; Brunet, J.; Guillaumin, P.; Pelegrini, L.; Romiti, G.; Bakker, L.G.

    1998-01-01

    The purpose of the present paper is to present recent developments of integrated building energy manaeement system combining intelligent decision making systems and smart card technology using Local Operating Network (LON) techniques applying mainly to existing buildings and to new buildings with

  15. Solar array deployment mechanism

    Science.gov (United States)

    Calassa, Mark C.; Kackley, Russell

    1995-05-01

    This paper describes a Solar Array Deployment Mechanism (SADM) used to deploy a rigid solar array panel on a commercial spacecraft. The application required a deployment mechanism design that was not only lightweight, but also could be produced and installed at the lowest possible cost. This paper covers design, test, and analysis of a mechanism that meets these requirements.

  16. IPv6 deployment and management

    CERN Document Server

    Dooley, Michael

    2013-01-01

    A guide for understanding, deploying, and managing Internet Protocol version 6 The growth of the Internet has created a need for more addresses than are available with Internet Protocol version 4 (IPv4)-the protocol currently used to direct almost all Internet traffic. Internet Protocol version 6 (IPv6)-the new IP version intended to ultimately succeed IPv4-will expand the addressing capacity of the Internet to support the explosive growth of users and devices on the Internet as well as add flexibility to allocating addresses and efficiency for routing traffic. IPv6 Deploy

  17. 灵活部署COM组件保障业务的连续性%Flexible Deployment of COM Components to Support Business Continuity

    Institute of Scientific and Technical Information of China (English)

    徐金建

    2011-01-01

    Objective To reduce the impact of failure caused by the COM component failure to ihe conlinuity of the entire system for the COM component application system based on 3-layer structure. Methods The system took variety methods for the COM components management deployment. Contrast of their respective advantages and disadvantages were made so that the deployment of the COM component-based application would be more flexible and rational. Reaulto Business continuity and system stability were improved. ^*?M*hifM" The deployment of the COM component should be flexible according to the practical component-based application. This plays the crucial role for the whole system's suslainabilily and usability.[Chinese Medical Equipment Journal,2011,32(10) :59-60J%目的:对基于3层结构的COM组件的应用系统,尽可能降低由于COM组件故障而影响整个系统业务的连续性故障发生.方法:系统采用多种COM组件管理部署方法,并进行了详细的对比,给出了各自的优、缺点,使得COM组件应用部署更具灵活性、合理性.结果:提高了业务连续性、实时性及系统稳定性.结论:基于组件的应用系统,应根据实际应用情况灵活部署COM组件,对整个系统的持续性、可用性起到决定作用.

  18. Deployable truss structure advanced technology

    Science.gov (United States)

    Dyer, J. E.; Dudeck, M. P.

    1986-01-01

    The 5-meter technology antenna program demonstrated the overall feasibility of integrating a mesh reflector surface with a deployable truss structure to achieve a precision surface contour compatible with future, high-performance antenna requirements. Specifically, the program demonstrated: the feasibility of fabricating a precision, edge-mounted, deployable, tetrahedral truss structure; the feasibility of adjusting a truss-supported mesh reflector contour to a surface error less than 10 mils rms; and good RF test performance, which correlated well with analytical predictions. Further analysis and testing (including flight testing) programs are needed to fully verify all the technology issues, including structural dynamics, thermodynamics, control, and on-orbit RF performance, which are associated with large, deployable, truss antenna structures.

  19. Mastering Windows 7 Deployment

    CERN Document Server

    Finn, Aidan; van Surksum, Kenneth

    2011-01-01

    Get professional-level instruction on Windows 7 deployment tools Enterprise-level operating system deployment is challenging and requires knowledge of specific tools. It is expected that Windows 7 will be extensively deployed in businesses worldwide. This comprehensive Sybex guide provides thorough coverage of the Microsoft deployment tools that were specifically created for Windows 7, preparing system administrators, MIS professionals, and corporate programmers to tackle the task effectively.Companies worldwide are expected to deploy Windows 7 as their enterprise operating system; system admi

  20. The purely functional software deployment model

    NARCIS (Netherlands)

    Dolstra, E.

    2006-01-01

    Software deployment is the set of activities related to getting software components to work on the machines of end users. It includes activities such as installation, upgrading, uninstallation, and so on. Many tools have been developed to support deployment, but they all have serious limitations wi

  1. Self-deploying photovoltaic power system

    Science.gov (United States)

    Colozza, Anthony J. (Inventor)

    1993-01-01

    A lightweight flexible photovoltaic (PV) blanket is attached to a support structure of initially stowed telescoping members. The deployment mechanism comprises a series of extendable and rotatable columns. As these columns are extended the PV blanket is deployed to its proper configuration.

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

    OpenAIRE

    Ping Jiang; Shanshan Qin; Jie Wu; Beibei Sun

    2015-01-01

    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 ...

  3. Occupational Health Screenings of the Virtual Warrior: Distributed Common Ground System Intelligence Operators Compared with Non-Combatant Support Personnel

    Science.gov (United States)

    2014-02-01

    exercise/training each week (e.g., 20-30 minutes of walking, moderate cycling, moderate speed sport or aerobic activity)? Response options were none...work hours) and problematic health behaviors (e.g., poor sleep hygiene , excessive caffeine use). The findings of this study provide insight into the...intelligence operators have more restriction (such as reduced access to base facilities and physical training time built into work routines) for

  4. Automated intelligent emergency assesment of GTA pipeline events

    Energy Technology Data Exchange (ETDEWEB)

    Asgary, Ali; Ghaffari, Alireza; Kong, Albert [University of York, Toronto, (Canada)

    2010-07-01

    The traditional approach used for risk assessment in pipeline operations is stochastic, using probabilities of events. This paper reports on an investigation into the deployment of an automated intelligence reasoning system used in decision support for risk assessments related to oil and gas emergencies in the Greater Toronto Area (GTA). The study evaluated the use of fuzzy interference rules encoded using JESS and fuzzy J to develop a risk assessment system. Real time data from web services such as weather, Geographic Information Systems (GIS) and Supervisory Control and Data Acquisition (SCADA) systems were used. This study took into consideration the most recent communications infrastructure and technologies, involving the most advanced human machine interface (HMI) access via hypertext transfer protocol (HTTP). This new approach will support decision making in emergency response scenarios. The study showed that the convergence of several technologies may change the automated intelligence system design paradigm.

  5. Intelligent Elements for ISHM

    Science.gov (United States)

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

    2008-01-01

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

  6. 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

  7. 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.

  8. The brave new world of ambient intelligence

    Science.gov (United States)

    Ahonen, Pasi; Alahuhta, Petteri; Daskala, Barbara; Delaitre, Sabine; Hert, Paul De; Lindner, Ralf; Maghiros, Ioannis; Moscibroda, Anna; Schreurs, Wim; Verlinden, Michiel

    This chapter provides an overview of ambient intelligence in order to set the stage for the subsequent identification and discussion of threats, vulnerabilities and safeguards In this chapter, we provide a somewhat high-level description of the key technologies that are crucial to the development and deployment of ambient intelligence. The development and deployment of AmI are being propelled by certain visions of the future, which we reference in this chapter. For the most part, the development and deployment are taking place in a rather structured context composed of visions, scenarios, roadmaps, strategic research agendas, platforms and projects. We highlight the most important of these.

  9. Center for Deployment Psychology

    Data.gov (United States)

    Federal Laboratory Consortium — The Center for Deployment Psychology was developed to promote the education of psychologists and other behavioral health specialists about issues pertaining to the...

  10. Deployable geodesic truss structure

    Science.gov (United States)

    Mikulas, Martin M., Jr. (Inventor); Rhodes, Marvin D. (Inventor); Simonton, J. Wayne (Inventor)

    1987-01-01

    A deployable geodesic truss structure which can be deployed from a stowed state to an erected state is described. The truss structure includes a series of bays, each bay having sets of battens connected by longitudinal cross members which give the bay its axial and torsional stiffness. The cross members are hinged at their mid point by a joint so that the cross members are foldable for deployment or collapsing. The bays are deployed and stabilized by actuator means connected between the mid point joints of the cross members. Hinged longerons may be provided to also connect the sets of battens and to collapse for stowing with the rest of the truss structure.

  11. Enhancing Decision Making Using Intelligent System Solution

    Directory of Open Access Journals (Sweden)

    Sushanta Kumar Panigrahi

    2011-01-01

    Full Text Available The development and deployment of managerial decision support system represents an emerging trend in the business and organizational field in which the increased application of Decision Support Systems (DSS can be compiling by Intelligent Systems (IS. Decision Support Systems (DSS are a specific class of computerized information system that supports business and organizational decision-making activities. A properly designed DSS is an interactive software-based system intended to help decision makers compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions. Competitive business pressures and a desire to leverage existing information technology investments have led many firms to explore the benefits of intelligent data management solutions such as Particle Swarm Optimization (PSO. This technology is designed to help businesses to finding multi objective functions, which can help to understand the purchasing behavior of their key customers, detect likely credit card or insurance claim fraud, predict probable changes in financial markets, etc.

  12. State perspectives on clean coal technology deployment

    Energy Technology Data Exchange (ETDEWEB)

    Moreland, T. [State of Illinois Washington Office, Washington, DC (United States)

    1997-12-31

    State governments have been funding partners in the Clean Coal Technology program since its beginnings. Today, regulatory and market uncertainties and tight budgets have reduced state investment in energy R and D, but states have developed program initiatives in support of deployment. State officials think that the federal government must continue to support these technologies in the deployment phase. Discussions of national energy policy must include attention to the Clean Coal Technology program and its accomplishments.

  13. Experiences in Deploying Test Arenas for Autonomous Mobile Robots

    Science.gov (United States)

    2001-09-01

    Experiences in Deploying Test Arenas for Autonomous Mobile Robots Adam Jacoff, Elena Messina, John Evans Intelligent Systems Division National...test arenas for autonomous mobile robots . The first set of arenas was modeled after the Urban Search and Rescue (USAR) application and was designed to...00-00-2001 to 00-00-2001 4. TITLE AND SUBTITLE Experiences in Deploying Test Arenas for Autonomous Mobile Robots 5a. CONTRACT NUMBER 5b. GRANT

  14. BUILDING A COMPETITIVE BUSINESS INTELLIGENCE ARCHITECTURE THAT CAN FOSTER PERFORMANCE IN THE ROMANIAN NATIONAL RAILWAY COMPANY

    National Research Council Canada - National Science Library

    Dragan George Bogdan

    2015-01-01

    Today many industry players from banking, financial services, insurance, IT, healthcare, telecommunications and transportation are deploying competitive business intelligence to grow their company’s financial results...

  15. Modeling EERE Deployment Programs

    Energy Technology Data Exchange (ETDEWEB)

    Cort, K. A. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Hostick, D. J. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Belzer, D. B. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Livingston, O. V. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2007-11-01

    This report compiles information and conclusions gathered as part of the “Modeling EERE Deployment Programs” project. The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address possible improvements to the modeling process, and note gaps in knowledge in which future research is needed.

  16. Support mechanisms and vulnerabilities in relation to PTSD in veterans of the Gulf War, Iraq War, and Afghanistan deployments: a systematic review.

    Science.gov (United States)

    Wright, Breanna K; Kelsall, Helen L; Sim, Malcolm R; Clarke, David M; Creamer, Mark C

    2013-06-01

    Pretrauma factors of psychiatric history and neuroticism have been important in highlighting vulnerability to posttraumatic stress disorder (PTSD), whereas posttrauma support mechanisms have been associated with positive health and well-being outcomes, particularly in veterans. The relationship between these factors and PTSD has not been the subject of a systematic review in veterans. An online search was conducted, supplemented by reference list and author searches. Two investigators systematically and independently examined eligible studies. From an initial search result of 2,864, 17 met inclusion criteria. A meta-analysis of unit cohesion involving 6 studies found that low unit cohesion was associated with PTSD, standardised mean difference of -1.62, 95% confidence interval (CI) [-2.80, -0.45]. A meta-analysis of social support involving 7 studies found that low social support was associated with PTSD, standardised mean difference of - 12.40, 95% CI [-3.42, -1.38]. Three of 5 studies found a significant relationship between low-family support and PTSD; insufficient data precluded a meta-analysis. Regarding pretrauma vulnerability, 2 studies on psychiatric history and 1 on neuroticism found positive relationships with PTSD. Posttrauma factors of low support were associated with higher reporting of PTSD. Cross-sectional methodology may be inadequate to capture complex relationships between support and PTSD; more longitudinal research is required. Copyright © 2013 International Society for Traumatic Stress Studies.

  17. Intelligence Differentiation in Adult Samples.

    Science.gov (United States)

    Abad, Francisco J.; Colom, Robert; Juan-Espinosa, Manuel; Garcia, Luis F.

    2003-01-01

    Results for 3,340 participants taking a battery of cognitive tests and an analysis of the Spanish standardization of the Wechsler Adult Intelligence Scale-III support the differentiation of intelligence across the range of ability, with WAIS-III results more supportive of the differentiation theory. (SLD)

  18. Artificial Intelligence.

    Science.gov (United States)

    Waltz, David L.

    1982-01-01

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

  19. 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.

    2004-01-01

    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

  20. Deployable Soft Composite Structures

    Science.gov (United States)

    Wang, Wei; Rodrigue, Hugo; Ahn, Sung-Hoon

    2016-02-01

    Deployable structure composed of smart materials based actuators can reconcile its inherently conflicting requirements of low mass, good shape adaptability, and high load-bearing capability. This work describes the fabrication of deployable structures using smart soft composite actuators combining a soft matrix with variable stiffness properties and hinge-like movement through a rigid skeleton. The hinge actuator has the advantage of being simple to fabricate, inexpensive, lightweight and simple to actuate. This basic actuator can then be used to form modules capable of different types of deformations, which can then be assembled into deployable structures. The design of deployable structures is based on three principles: design of basic hinge actuators, assembly of modules and assembly of modules into large-scale deployable structures. Various deployable structures such as a segmented triangular mast, a planar structure comprised of single-loop hexagonal modules and a ring structure comprised of single-loop quadrilateral modules were designed and fabricated to verify this approach. Finally, a prototype for a deployable mirror was developed by attaching a foldable reflective membrane to the designed ring structure and its functionality was tested by using it to reflect sunlight onto to a small-scale solar panel.

  1. Deployable Soft Composite Structures.

    Science.gov (United States)

    Wang, Wei; Rodrigue, Hugo; Ahn, Sung-Hoon

    2016-02-19

    Deployable structure composed of smart materials based actuators can reconcile its inherently conflicting requirements of low mass, good shape adaptability, and high load-bearing capability. This work describes the fabrication of deployable structures using smart soft composite actuators combining a soft matrix with variable stiffness properties and hinge-like movement through a rigid skeleton. The hinge actuator has the advantage of being simple to fabricate, inexpensive, lightweight and simple to actuate. This basic actuator can then be used to form modules capable of different types of deformations, which can then be assembled into deployable structures. The design of deployable structures is based on three principles: design of basic hinge actuators, assembly of modules and assembly of modules into large-scale deployable structures. Various deployable structures such as a segmented triangular mast, a planar structure comprised of single-loop hexagonal modules and a ring structure comprised of single-loop quadrilateral modules were designed and fabricated to verify this approach. Finally, a prototype for a deployable mirror was developed by attaching a foldable reflective membrane to the designed ring structure and its functionality was tested by using it to reflect sunlight onto to a small-scale solar panel.

  2. “Operation Support Platform” is Faced With a New Revolution —Intelligent Pipe and Intelligent Operation Support Platform%"运营支撑平台"将面临一次新的革命——谈谈智能管道和智能运营支撑平台

    Institute of Scientific and Technical Information of China (English)

    宋俊德; 马琳

    2011-01-01

    This paper analyzes the leap in communication and information industry from several aspects, the scientific and technological progress, the business model innovation, customer demand-oriented guide and so on. Then, starting from the analysis of the operating mode of Apple, it points out that the intellectualization of telecom operators will be the only way. In addition, the structure envisagement and implement mechanism of intelligent pipe are proposed. Finally, the initial structure of new generation of “intelligent operation support platform” comes into being through the combination of triple play and intelligent pipe.%本文从科学技术进步、商业模式变化、客户需求导向等方面分析了通信信息业的飞跃,接下来从分析Apple公司的运营模式人手,指出电信运营商的智能化是其必经之路,并提出了智能管道的结构设想和实现机理,最后结合三网融合和智能管道提出新一代"智能运营支撑平台"的初步架构.

  3. Test and Evaluation of Field-Deployable Infectious Disease Diagnostic Assays in Support of the Joint Biological Agent Identification and Diagnosis System (JBAIDS): Malaria (Plasmodium/JBAIDS)

    Science.gov (United States)

    2012-05-31

    Disease Diagnostic Assays in Support of the Joint Biological Agent Identification and Diagnosis System 5b. GRANT NUMBER (JBAIDS): Malaria ( Plasmodium ...Texas (MOA 2007-2012 Agreement No.: DODI 4000.19· AFI 25-201). 14.ABSTRACT A Plasmodium genus dual-fluorogenic, hydrolysis probe (TaqMan) polymerase...chain reaction (PCR) assay was developed using real-time PCR instrumentation (MiniOpticon Real-Time PCR System, Bio-Rad, Hercules, CA). The Plasmodium

  4. Modeling EERE deployment programs

    Energy Technology Data Exchange (ETDEWEB)

    Cort, K. A. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Hostick, D. J. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Belzer, D. B. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Livingston, O. V. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2007-11-01

    The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address possible improvements to the modeling process, and note gaps in knowledge for future research.

  5. Stratospheric Deployment Parafoil Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The Stratospheric Deployment Parafoil is a proposed technology that will be designed and tested to provide a greatly superior parachute precision delivery system...

  6. Deployable Soft Composite Structures

    OpenAIRE

    Wei Wang; Hugo Rodrigue; Sung-Hoon Ahn

    2016-01-01

    Deployable structure composed of smart materials based actuators can reconcile its inherently conflicting requirements of low mass, good shape adaptability, and high load-bearing capability. This work describes the fabrication of deployable structures using smart soft composite actuators combining a soft matrix with variable stiffness properties and hinge-like movement through a rigid skeleton. The hinge actuator has the advantage of being simple to fabricate, inexpensive, lightweight and sim...

  7. Network Edge Intelligence for the Emerging Next-Generation Internet

    Directory of Open Access Journals (Sweden)

    Salekul Islam

    2010-11-01

    Full Text Available The success of the Content Delivery Networks (CDN in the recent years has demonstrated the increased benefits of the deployment of some form of “intelligence” within the network. Cloud computing, on the other hand, has shown the benefits of economies of scale and the use of a generic infrastructure to support a variety of services. Following that trend, we propose to move away from the smart terminal-dumb network dichotomy to a model where some degree of intelligence is put back into the network, specifically at the edge, with the support of Cloud technology. In this paper, we propose the deployment of an Edge Cloud, which integrates a variety of user-side and server-side services. On the user side, surrogate, an application running on top of the Cloud, supports a virtual client. The surrogate hides the underlying network infrastructure from the user, thus allowing for simpler, more easily managed terminals. Network side services supporting delivery of and exploiting content are also deployed on this infrastructure, giving the Internet Service Providers (ISP many opportunities to become directly involved in content and service delivery.

  8. Wireless intelligent network: infrastructure before services?

    Science.gov (United States)

    Chu, Narisa N.

    1996-01-01

    The Wireless Intelligent Network (WIN) intends to take advantage of the Advanced Intelligent Network (AIN) concepts and products developed from wireline communications. However, progress of the AIN deployment has been slow due to the many barriers that exist in the traditional wireline carriers' deployment procedures and infrastructure. The success of AIN has not been truly demonstrated. The AIN objectives and directions are applicable to the wireless industry although the plans and implementations could be significantly different. This paper points out WIN characteristics in architecture, flexibility, deployment, and value to customers. In order to succeed, the technology driven AIN concept has to be reinforced by the market driven WIN services. An infrastructure suitable for the WIN will contain elements that are foreign to the wireline network. The deployment process is expected to seed with the revenue generated services. Standardization will be achieved by simplifying and incorporating the IS-41C, AIN, and Intelligent Network CS-1 recommendations. Integration of the existing and future systems impose the biggest challenge of all. Service creation has to be complemented with service deployment process which heavily impact the carriers' infrastructure. WIN deployment will likely start from an Intelligent Peripheral, a Service Control Point and migrate to a Service Node when sufficient triggers are implemented in the mobile switch for distributed call control. The struggle to move forward will not be based on technology, but rather on the impact to existing infrastructure.

  9. 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...

  10. Research of Hospital Decision Support System Based on Business Intelligence%基于商业智能的医院决策支持系统研究

    Institute of Scientific and Technical Information of China (English)

    刘博; 夏新; 陈彦东; 朱阳

    2013-01-01

    基于商业智能应用系统的特点和体系结构,对商业智能技术在医院信息系统(HIS)中的应用进行了研究。在医院原HIS的基础上,综合运用数据仓库(DW)、联机分析处理(OLAP)、数据挖掘(DM)等新兴技术搭建了一个完整的医院决策支持系统。该系统支持海量数据的深加工和再利用,解决了数据仓库构建、数据分析、客户端程序设计等问题,为支持医院管理者的分析决策做出了积极探索。%Based on the characteristics and framework of business intelligence, this paper introduces the research of the application of business intelligence technology in hospital information system. New technologies including data warehouse, on-line analytical processing and data mining are used to develop the hospital decision support system based on current hospital information system. Further handling and recycling of mass data can be implemented with the system, which solves problems including construction of data warehouse, data analysis and design of client program. The system positively helps hospital managers to make correlative decisions.

  11. research efforts on intelligent transportation system in nigeria

    African Journals Online (AJOL)

    user

    Keywords: Intelligent Transportation Systems, Policy formulation, Research product deployment, Funding,. System performance ... vehicles and among different vehicles (c) data ... plan and the use of traffic analysis tools to assist in evaluating ...

  12. Synchronously deployable truss structure

    Science.gov (United States)

    Bush, H. G. (Inventor); Mikulas, M., Jr. (Inventor); Wallsom, E. (Inventor)

    1986-01-01

    A collapsible-expandable truss structure, including first and second spaced surface truss layers having an attached core layer is described. The surface truss layers are composed of a plurality of linear struts arranged in multiple triangular configurations. Each linear strut is hinged at the center and hinge connected at each end to a nodular joint. A passive spring serves as the expansion force to move the folded struts from a stowed collapsed position to a deployed operative final truss configuration. A damper controls the rate of spring expansion for the synchronized deployment of the truss as the folded configuration is released for deployment by the restrain belts. The truss is synchronously extended under the control of motor driven spools.

  13. Mining Deployment Optimization

    Science.gov (United States)

    Čech, Jozef

    2016-09-01

    The deployment problem, researched primarily in the military sector, is emerging in some other industries, mining included. The principal decision is how to deploy some activities in space and time to achieve desired outcome while complying with certain requirements or limits. Requirements and limits are on the side constraints, while minimizing costs or maximizing some benefits are on the side of objectives. A model with application to mining of polymetallic deposit is presented. To obtain quick and immediate decision solutions for a mining engineer with experimental possibilities is the main intention of a computer-based tool. The task is to determine strategic deployment of mining activities on a deposit, meeting planned output from the mine and at the same time complying with limited reserves and haulage capacities. Priorities and benefits can be formulated by the planner.

  14. Swarm Intelligence

    OpenAIRE

    Thampi, Sabu M.

    2009-01-01

    Biologically inspired computing is an area of computer science which uses the advantageous properties of biological systems. It is the amalgamation of computational intelligence and collective intelligence. Biologically inspired mechanisms have already proved successful in achieving major advances in a wide range of problems in computing and communication systems. The consortium of bio-inspired computing are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial i...

  15. Design and Implementation of Intelligent Decision Support System for Grain Postproduction%粮食产后智能决策支持系统的研究

    Institute of Scientific and Technical Information of China (English)

    董美对; 何勇

    2001-01-01

    介绍了粮食产后系统的智能决策支持系统的研制开发,该系统包括粮食 产后信息管理 、粮食产量预测、粮食产后处理机械技术经济适应性分析及选型、粮食产后处理模式评估与 优化、数据实时采集等子系统,为粮食生产经营和管理部门对粮食产量的预测、产后处理模 式评估和优化、产后作业方式和作业机具的选型配备等问题的决策提供了有效的辅助决策工 具。%An Intelligent Decision Support System for Grain Postproductio n was designed and implemented. In this system, five sub-systems, informat ion management, forecasting of grain production, technical and economic analyses on the adaptability of grain postproduction operation equipment, evaluation and optimization of grain postproduction operation modes, and real-time data colle ction, were included. This system was proved suitable as a decision support too l.

  16. 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.

  17. AmI and Deployment Considerations in AAL Services Provision for Elderly Independent Living: The MonAMI Project

    Directory of Open Access Journals (Sweden)

    Alejandro Ibarz

    2013-07-01

    Full Text Available The MonAMI project aims to investigate the feasibility of the deployment of open platforms for Ambient Assisted Living (AAL services provision based on Ambient Intelligence (AmI and to test user acceptance and the usability of the services. Services were designed to provide support in the areas of environmental control, security, well-being and leisure. These services were installed and evaluated in a Spanish geriatric residence. The participants included elderly persons with disabilities, nursing home care givers and informal carers. The concept of the open platform proved to be satisfactory for the provision of the services in a context aware framework. Furthermore, the usability of the technology was viewed positively and the overall results indicate that this system has the potential to prolong independent living at home for elderly people with disabilities. Deployment was proven successful and awareness of open-platform AAL service delivery was raised in local communities throughout Europe.

  18. Deploying OpenStack

    CERN Document Server

    Pepple, Ken

    2011-01-01

    OpenStack was created with the audacious goal of being the ubiquitous software choice for building public and private cloud infrastructures. In just over a year, it's become the most talked-about project in open source. This concise book introduces OpenStack's general design and primary software components in detail, and shows you how to start using it to build cloud infrastructures. If you're a developer, technologist, or system administrator familiar with cloud offerings such as Rackspace Cloud or Amazon Web Services, Deploying OpenStack shows you how to obtain and deploy OpenStack softwar

  19. Modeling EERE Deployment Programs

    Energy Technology Data Exchange (ETDEWEB)

    Cort, Katherine A.; Hostick, Donna J.; Belzer, David B.; Livingston, Olga V.

    2007-11-08

    The purpose of this report is to compile information and conclusions gathered as part of three separate tasks undertaken as part of the overall project, “Modeling EERE Deployment Programs,” sponsored by the Planning, Analysis, and Evaluation office within the Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE). The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address improvements to modeling in the near term, and note gaps in knowledge where future research is needed.

  20. Remote Systems Design & Deployment

    Energy Technology Data Exchange (ETDEWEB)

    Bailey, Sharon A.; Baker, Carl P.; Valdez, Patrick LJ

    2009-08-28

    The Pacific Northwest National Laboratory (PNNL) was tasked by Washington River Protection Solutions, LLC (WRPS) to provide information and lessons learned relating to the design, development and deployment of remote systems, particularly remote arm/manipulator systems. This report reflects PNNL’s experience with remote systems and lays out the most important activities that need to be completed to successfully design, build, deploy and operate remote systems in radioactive and chemically contaminated environments. It also contains lessons learned from PNNL’s work experiences, and the work of others in the national laboratory complex.

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

    Science.gov (United States)

    2004-09-01

    The purpose of this thesis is to evaluate critically the ongoing reform of the High Intensity Drug Trafficking Area (HIDTA) Investigative Support...or Fusion Center for information sharing between agencies investigating crimes relating to drug trafficking , terrorism, and money laundering.

  2. Birds of a Feather: Moving Towards a Joint Acquisition Process to Support the Intelligence, Surveillance and Reconnaissance (ISR) Enterprise

    Science.gov (United States)

    2009-04-01

    AU/ACSC/9694/2008-09 AIR COMMAND AND STAFF COLLEGE AIR UNIVERSITY BIRDS OF A FEATHER Moving Towards a Joint Acquisition Process to Support the...number. 1. REPORT DATE APR 2009 2. REPORT TYPE N/A 3. DATES COVERED - 4. TITLE AND SUBTITLE BIRDS OF A FEATHER: Moving Towards a Joint...INTRODUCTION ...........................................................................................................................1 " Birds of a

  3. Deploying Renewables - Best and Future Policy Practice

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2011-11-23

    The global energy system faces urgent challenges. Concerns about energy security are growing, as highlighted by the recent political turmoil in Northern Africa and the nuclear incident in Fukushima. At the same time, the need to respond to climate change is more critical than ever. Against this background, many governments have increased efforts to promote deployment of renewable energy -- low-carbon sources that can strengthen energy security. This has stimulated unprecedented rise in deployment, and renewables are now the fastest growing sector of the energy mix. This 'coming of age' of renewable energy also brings challenges. Growth is focused on a few of the available technologies, and rapid deployment is confined to a relatively small number of countries. In more advanced markets, managing support costs and system integration of large shares of renewable energy in a time of economic weakness and budget austerity has sparked vigorous political debate. The IEA's new report, Deploying Renewables 2011: Best and Future Policy Practice: - Provides a comprehensive review and analysis of renewable energy policy and market trends; - Analyses in detail the dynamics of deployment and provides best-practice policy principles for different stages of market maturity; - Assesses the impact and cost-effectiveness of support policies using new methodological tools and indicators; - Investigates the strategic reasons underpinning the pursuit of RE deployment by different countries and the prospects for globalisation of RE. This new book builds on and extends a 2008 IEA publication, drawing on recent policy and deployment experience world-wide. It provides guidance for policy makers and other stakeholders to avoid past mistakes, overcome new challenges and reap the benefits of deploying renewables -- today and tomorrow.

  4. Equipment, Organization and Command and Control Relationships of Intelligence and Electronic Warfare Support to the Heavy Division,

    Science.gov (United States)

    1987-01-05

    standard tactical mission given to the ESM and ECM as- sets of the division, the MI battalion Technical Control and Analysis Element ( TCAE ) performs all...and ESM assets within the division and assets that are supporting the division. Doctrinally the TCAE orchestrates the IEW system at division level by...totally dependent on the mission management and technical control exercised by the TCAE . It is this centralized management which most drives the

  5. Large, Easily Deployable Structures

    Science.gov (United States)

    Agan, W. E.

    1983-01-01

    Study of concepts for large space structures will interest those designing scaffolding, radio towers, rescue equipment, and prefabricated shelters. Double-fold, double-cell module was selected for further design and for zero gravity testing. Concept is viable for deployment by humans outside space vehicle as well as by remotely operated manipulator.

  6. Deployment & Market Transformation (Brochure)

    Energy Technology Data Exchange (ETDEWEB)

    2012-04-01

    NREL's deployment and market transformation (D and MT) activities encompass the laboratory's full range of technologies, which span the energy efficiency and renewable energy spectrum. NREL staff educates partners on how they can advance sustainable energy applications and also provides clients with best practices for reducing barriers to innovation and market transformation.

  7. Deploying Node.js

    CERN Document Server

    Pasquali, Sandro

    2015-01-01

    If you are an intermediate or advanced developer deploying your Node.js applications, then this book is for you. If you have already built a Node application or module and want to take your knowledge to the next level, this book will help you find your way.

  8. Research on lightweight passive deployment mechanism for the secondary mirror in the deployable space telescope

    Science.gov (United States)

    Zhong, Peifeng; Li, Chuang; Jing, Nan; Chong, Yaqin; Ren, Guorui

    2016-10-01

    In this paper, a new type of lightweight passive deployment mechanism based on the tape spring and the shape memory alloy is presented for the secondary mirror of a deployable space telescope. In this passive deployment mechanism for the secondary mirror, the high elastic potential energy of the folded tape springs is used as driving force when the support structure is extended, and the high stiffness characteristics of the circular arc cross section of the tape spring can be used to achieve structure self-locking after deployment. Then a deployable space telescope combined with lightweight passive deployable mechanism for the secondary mirror is designed for applying to nanosatellite imaging. Furthermore, a lock-release device is designed to achieve the function of locking the folded structure and releasing on orbit by taking advantage of the phase transformation characteristics of shape memory alloy with temperature changing. Finally, the correction method for the deployment error of secondary mirror is discussed. The temperature of the tape springs is controlled respectively to make a required length change. This can achieve the purpose of adjusting the position of the secondary mirror and improve the deployment accuracy.

  9. 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....

  10. Military Families: Child Care Support During Deployments

    Science.gov (United States)

    ... Turn off Animations Turn on Animations Our Sponsors Log in | Register Menu Log in | Register Home Our Sponsors Ages & Stages Ages & ... MSEd, FAAP Last Updated 6/3/2013 Source Building Resilience in Children and Teens: Giving Kids Roots ...

  11. 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.

  12. Intelligent test integration system

    Science.gov (United States)

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

    1988-01-01

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

  13. Dedicated Deployable Aerobraking Structure

    Science.gov (United States)

    Giersch, Louis R.; Knarr, Kevin

    2010-01-01

    A dedicated deployable aerobraking structure concept was developed that significantly increases the effective area of a spacecraft during aerobraking by up to a factor of 5 or more (depending on spacecraft size) without substantially increasing total spacecraft mass. Increasing the effective aerobraking area of a spacecraft (without significantly increasing spacecraft mass) results in a corresponding reduction in the time required for aerobraking. For example, if the effective area of a spacecraft is doubled, the time required for aerobraking is roughly reduced to half the previous value. The dedicated deployable aerobraking structure thus enables significantly shorter aerobraking phases, which results in reduced mission cost, risk, and allows science operations to begin earlier in the mission.

  14. 基于JADE的海上搜救智能决策支持系统%INTELLIGENT DECISION SUPPORT SYSTEM FOR MARITIME SEARCH AND RESCUE BASED ON JADE

    Institute of Scientific and Technical Information of China (English)

    于卫红

    2011-01-01

    海上搜救决策是一项复杂的系统工程,针对不同的海上突发事件,在不同时段和反应阶段,按照相关的应急预案要求,需要及时地调整决策方案.研究了基于JADE的海上搜救智能决策支持系统,描述了系统分析、系统设计、系统实现等的基本思路.结果表明,依靠海上搜救决策支持系统可以减少人为因素的干扰,对海上突发事件的危害程度、应急反应行动方案实施效果、投入力量等进行评估,辅助搜救协调中心RCC(Rescue coordination center)快速准确地做出科学决策.%Maritime search and rescue decision-making is a complicated system, for different emergencies at sea, and at different time or reaction stages, in accordance with the relevant emergency plans, the decision-making plan must be timely adjusted. A maritime search and rescue intelligent decision support system is studied in this article, and its system analysis, design and implementation are described, too. The results show that during the course of decision-making human interference can be reduced by using maritime search and rescue decision support system, and the system can evaluate the hazards of disaster, the effect of the emergency response action and the cost-effectiveness of rescue resources. In one word, it can assist RCC to make scientific decisions quickly and accurately.

  15. New Intelligent Computer Intrusion Detection Method Using Hessian Local Linear Embedding and Multi-Kernel Support Vector Machine

    Directory of Open Access Journals (Sweden)

    Fei Hu

    2013-01-01

    Full Text Available Computer networks frequently collapse under the destructive intrusions. It is crucial to detection hidden intrusions to protect the computer networks. However, a computer intrusion often distributes high dimensional characteristic signals, which increases the difficulty of intrusion detection. Literature review indicates that limited work has been done to address the nonlinear dimension reduction problem in computer intrusion detection. Hence, this study has proposed a new intrusion detection method based on the Hessian Local Linear Embedding (HLLE and multi-kernel Support Vector Machine (SVM. The HLLE was firstly used to reduce the dimension of the original intrusion date in a nonlinear manner. Then the SVM with multiply kernels was employed to detect the intrusions. A real computer network experimental system has been established to evaluate the proposed method. Four typical intrusions have been tested. The test results show high effectiveness of the new detection method. In addition, the new method has been compared with the single-kernel SVM with Local Linear Embedding (LLE or Principal Component Analysis (PCA. The comparison results demonstrate that the proposed HLLE plus multi-kernel SVM can provide the best computer intrusion detection rate of 97.1%.

  16. The potential impact of intelligent systems for mobile health self-management support: Monte Carlo simulations of text message support for medication adherence.

    Science.gov (United States)

    Piette, John D; Farris, Karen B; Newman, Sean; An, Larry; Sussman, Jeremy; Singh, Satinder

    2015-02-01

    Mobile health (mHealth) services cannot easily adapt to users' unique needs. We used simulations of text messaging (SMS) for improving medication adherence to demonstrate benefits of interventions using reinforcement learning (RL). We used Monte Carlo simulations to estimate the relative impact of an intervention using RL to adapt SMS adherence support messages in order to more effectively address each non-adherent patient's adherence barriers, e.g., forgetfulness versus side effect concerns. SMS messages were assumed to improve adherence only when they matched the barriers for that patient. Baseline adherence and the impact of matching messages were estimated from literature review. RL-SMS was compared in common scenarios to simple reminders, random messages, and standard tailoring. RL could produce a 5-14% absolute improvement in adherence compared to current approaches. When adherence barriers are not accurately reported, RL can recognize which barriers are relevant for which patients. When barriers change, RL can adjust message targeting. RL can detect when messages are sent too frequently causing burnout. RL systems could make mHealth services more effective.

  17. 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...

  18. 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

  19. 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

  20. 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.

  1. 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.

  2. Lessons from a pilot deployment of energy efficient data collection protocols in wireless sensor networks

    Science.gov (United States)

    Edordu, C.; Yang, Y.

    2009-07-01

    This study reports results of, as well as experiences and engineering challenges encountered, during a pilot deployment of a Dual Prediction and Probabilistic Scheduler (DPPS) for energy efficient data collection (EEDC). The deployment was motivated by sensor network supplier, Senceive Ltd., whose researchers wanted to incorporate more intelligence into their firmware to facilitate more cost effective remote asset management. The process of embedding and deploying DPPS, highlighted the importance of re-evaluating the assumptions typically overlooked in computer simulations and emphasises the need for sensor network researchers as a whole to reconsider the usefulness of EEDC protocols through real-life experimental deployment.

  3. Business intelligence

    National Research Council Canada - National Science Library

    Cebotarean Elena

    2011-01-01

    Business intelligence (BI) refers to computer-based techniques used in spotting, digging-out, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes...

  4. 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. 

  5. Joint for deployable structures

    Science.gov (United States)

    Craighead, N. D., II; Preliasco, R. J.; Hult, T. D. (Inventor)

    1985-01-01

    A joint is described for connecting a pair of beams to pivot them between positions in alignment or beside one another, which is of light weight and which operates in a controlled manner. The joint includes a pair of fittings and at least one center link having opposite ends pivotally connected to opposite fittings and having axes that pass through centerplates of the fittings. A control link having opposite ends pivotally connected to the different fittings controls their relative orientations, and a toggle assemly holds the fittings in the deployed configuration wherein they are aligned. The fittings have stops that lie on one side of the centerplane opposite the toggle assembly.

  6. Advances in medical decision support systems for diagnosis of acute graft-versus-host disease: molecular and computational intelligence joint approaches

    Institute of Scientific and Technical Information of China (English)

    Maurizio FIASCH(E); Maria CUZZOLA; Giuseppe IRRERA; Pasquale IACOPINO; Francesco Carlo MORABITO

    2011-01-01

    Acute graft-versus-host disease (aGVHD) is a serious systemic complication of allogeneic hematopoietic stem cell transplantation (HSCT) causing considerable morbidity and mortality.Acute GVHD occurs when alloreactive donor-derived T cells recognize host-recipient antigens as foreign.These trigger a complex multiphase process that ultimately results in apoptotic injury in target organs.The early events leading to GVHD seem to occur very soon,presumably within hours from the graft infusion.Therefore,when the first signs of aGVHD clinically manifest,the disease has been ongoing for several days at the cellular level,and the inflammatory cytokine cascade is fully activated.So,it comes as no surprise that progress in treatment based on clinical diagnosis of aGVHD has been limited in the past 30 years.It is likely that a pre-emptive strategy using systemic high-dose corticosteroids as early as possible could improve the outcome of aGVHD.Due to the deleterious effects of such treatment particularly in terms of infection risk posed by systemic steroid administration in a population that is already immune-suppressed,it is critical to identify biomarker signatures for approaching this very complex task.Some research groups have begun addressing this issue through molecular and proteomic analyses,combining these approaches with computational intelligence techniques,with the specific aim of facilitating the identification of diagnostic biomarkers in aGVHD.In this review,we focus on the aGVHD scenario and on the more recent state-of-the-art.We also attempt to give an overview of the classical and novel techniques proposed as medical decision support system for the diagnosis of GVHD.

  7. 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

  8. An Intelligent Knowledge Management System from a Semantic Perspective

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2008-01-01

    Full Text Available Knowledge Management Systems (KMS are important tools by whichorganizations can better use information and, more importantly, manageknowledge. Unlike other strategies, knowledge management (KM is difficult todefine because it encompasses a range of concepts, management tasks,technologies, and organizational practices, all of which come under the umbrella ofthe information management. Semantic approaches allow easier and more efficienttraining, maintenance, and support knowledge. Current ICT markets are dominatedby relational databases and document-centric information technologies, proceduralalgorithmic programming paradigms, and stack architecture. A key driver of globaleconomic expansion in the coming decade is the build-out of broadbandtelecommunications and the deployment of intelligent services bundling. This paperintroduces the main characteristics of an Intelligent Knowledge ManagementSystem as a multiagent system used in a Learning Control Problem (IKMSLCP,from a semantic perspective. We describe an intelligent KM framework, allowingthe observer (a human agent to learn from experience. This framework makes thesystem dynamic (flexible and adaptable so it evolves, guaranteeing high levels ofstability when performing his domain problem P. To capture by the agent who learnthe control knowledge for solving a task-allocation problem, the control expertsystem uses at any time, an internal fuzzy knowledge model of the (businessprocess based on the last knowledge model.

  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. Intelligent transportation systems problems and perspectives

    CERN Document Server

    Pamuła, Wiesław

    2016-01-01

    This book presents a discussion of problems encountered in the deployment of Intelligent Transport Systems (ITS). It puts emphasis on the early tasks of designing and proofing the concept of integration of technologies in Intelligent Transport Systems. In its first part the book concentrates on the design problems of urban ITS. The second part of the book features case studies representative for the different modes of transport. These are freight transport, rail transport and aerospace transport encompassing also space stations. The book provides ideas for deployment which may be developed by scientists and engineers engaged in the design of Intelligent Transport Systems. It can also be used in the training of specialists, students and post-graduate students in universities and transport high schools.    .

  11. Field Deployable DNA analyzer

    Energy Technology Data Exchange (ETDEWEB)

    Wheeler, E; Christian, A; Marion, J; Sorensen, K; Arroyo, E; Vrankovich, G; Hara, C; Nguyen, C

    2005-02-09

    This report details the feasibility of a field deployable DNA analyzer. Steps for swabbing cells from surfaces and extracting DNA in an automatable way are presented. Since enzymatic amplification reactions are highly sensitive to environmental contamination, sample preparation is a crucial step to make an autonomous deployable instrument. We perform sample clean up and concentration in a flow through packed bed. For small initial samples, whole genome amplification is performed in the packed bed resulting in enough product for subsequent PCR amplification. In addition to DNA, which can be used to identify a subject, protein is also left behind, the analysis of which can be used to determine exposure to certain substances, such as radionuclides. Our preparative step for DNA analysis left behind the protein complement as a waste stream; we determined to learn if the proteins themselves could be analyzed in a fieldable device. We successfully developed a two-step lateral flow assay for protein analysis and demonstrate a proof of principle assay.

  12. Finding Their Way Back In: Family Reintegration Following Guard Deployment.

    Science.gov (United States)

    Messecar, Deborah C

    2017-03-01

    The aim of this study was to describe deployed National Guard members' and their families' perceptions of their experience with family reintegration, and the causes and conditions of challenges reintegration presents after deployment. A total of 26 National Guard members and 19 family members participated in individual (n = 22), couples (n = 6), or focus group (n = 17) interviews. In-depth interviews were used to assess needs and maximize input from military families regarding deployment-related experiences and reintegration issues. Qualitative coding and analysis of data were completed using NVivo. Finding their way back in is the key process that the military members must complete to successfully reestablish their desired social connections with the family and reclaim their place within the family. Several conditions shape the degree of challenges with reintegration that veterans and their family will encounter. These include preparation for deployment, length and type of deployment, communication during deployment, and finally, awareness of how deployment changes the military member and the family. Support resources dedicated to providing National Guard members and their families with assistance in preparing for deployments and educating them about the importance of communication during deployment should be maintained and expanded. Broader educational efforts that increase awareness of what to expect regarding how deployment changes the military member and the family are needed. Reprint & Copyright © 2017 Association of Military Surgeons of the U.S.

  13. An Intelligent Acquisition Support Tool

    Science.gov (United States)

    1987-05-01

    with special graphic 60 MODEL A FUNCTION A MODEL B FUNCTION B <ea1, ea2, ... ean> <eb1, eb2, ... ebm > Figure 18. Dynamical Analysis MODEL A...34Object-Oriented Programming: Themes and Variations," AI Magazine, Vol. 6, No. 4, pp. 40-62, 1986. 67 APPENDIX A KNOWLEDGE REPRESENTATION

  14. 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.

  15. Deployment and Intelligent Nanosatellite Operations Colorado Final Technical Report

    Science.gov (United States)

    2006-09-28

    latching relays as the inhibits for the batteries and MOSFET switches for the loads of the satellite. The latching relays are used for the battery...was based on equation found in reference 2. Furthermore, iterative analysis beyond the graphs presented in this paper discovered a standard ferrite ...The design study was conducted for a material with only a [t = 800 which is a standard ferrite material. This is one of the best ways to improve

  16. 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

  17. THE CHANGING LANDSCAPE OF COMPETITIVE INTELLIGENCE: TWO CRITICAL ISSUES INVESTIGATED

    Directory of Open Access Journals (Sweden)

    John J. McGonagle

    2016-03-01

    Full Text Available 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 questions (KIQs; and 2 the growth in the production of competitive intelligence by those who actually use it—the do-it-yourselfers, or DIYers.

  18. Deployable robotic woven wire structures and joints for space applications

    Science.gov (United States)

    Shahinpoor, MO; Smith, Bradford

    1991-01-01

    Deployable robotic structures are basically expandable and contractable structures that may be transported or launched to space in a compact form. These structures may then be intelligently deployed by suitable actuators. The deployment may also be done by means of either airbag or spring-loaded typed mechanisms. The actuators may be pneumatic, hydraulic, ball-screw type, or electromagnetic. The means to trigger actuation may be on-board EPROMS, programmable logic controllers (PLCs) that trigger actuation based on some input caused by the placement of the structure in the space environment. The actuation may also be performed remotely by suitable remote triggering devices. Several deployable woven wire structures are examined. These woven wire structures possess a unique form of joint, the woven wire joint, which is capable of moving and changing its position and orientation with respect to the structure itself. Due to the highly dynamic and articulate nature of these joints the 3-D structures built using them are uniquely and highly expandable, deployable, and dynamic. The 3-D structure naturally gives rise to a new generation of deployable three-dimensional spatial structures.

  19. The evolution of general intelligence.

    Science.gov (United States)

    Burkart, Judith M; Schubiger, Michèle N; van Schaik, Carel P

    2016-07-28

    The presence of general intelligence poses a major evolutionary puzzle, which has led to increased interest in its presence in nonhuman animals. The aim of this review is to critically evaluate this puzzle, and to explore the implications for current theories about the evolution of cognition. We first review domain-general and domain-specific accounts of human cognition in order to situate attempts to identify general intelligence in nonhuman animals. Recent studies are consistent with the presence of general intelligence in mammals (rodents and primates). However, the interpretation of a psychometric g-factor as general intelligence needs to be validated, in particular in primates, and we propose a range of such tests. We then evaluate the implications of general intelligence in nonhuman animals for current theories about its evolution and find support for the cultural intelligence approach, which stresses the critical importance of social inputs during the ontogenetic construction of survival-relevant skills. The presence of general intelligence in nonhumans implies that modular abilities can arise in two ways, primarily through automatic development with fixed content and secondarily through learning and automatization with more variable content. The currently best-supported model, for humans and nonhuman vertebrates alike, thus construes the mind as a mix of skills based on primary and secondary modules. The relative importance of these two components is expected to vary widely among species, and we formulate tests to quantify their strength.

  20. Formal Definition of Artificial Intelligence

    OpenAIRE

    Dobrev, Dimiter

    2005-01-01

    * This publication is partially supported by the KT-DigiCult-Bg project. A definition of Artificial Intelligence (AI) was proposed in [1] but this definition was not absolutely formal at least because the word "Human" was used. In this paper we will formalize the definition from [1]. The biggest problem in this definition was that the level of intelligence of AI is compared to the intelligence of a human being. In order to change this we will introduce some parameters to which AI ...

  1. 基于ERP的商务智能系统设计与应用%Design and Integrative Application of Business Intelligence System With ERP Supported

    Institute of Scientific and Technical Information of China (English)

    林川; 王小华

    2014-01-01

    This paper provides an overview of the relationship between ERP and Business Intelligence System. Then on the basis of the core technology of the Business Intelligence System introduced architecture and solutions of Business Intelligence based on ERP. To ex-pounded data warehouse architecture, on-line analytical processing and data mining technology applications.%本文概述了企业资源计划系统与商务智能系统的关系,在介绍商务智能系统核心技术的基础上,提出了基于ERP的商务智能系统架构及实施方案,阐述了数据仓库的架构、联机分析处理及数据挖掘技术的应用。

  2. Deployment Limiting Mental Health Conditions in US Military Personnel Deployed to Combat Theaters: Predictors of Theater Mental Health Evacuation

    Directory of Open Access Journals (Sweden)

    Eve Weber

    2015-03-01

    Full Text Available Objective: Military sponsored personnel deploying to combat theaters undergo medical and behavioral health screening prior to deployment, ensuring a healthy fighting force is deployed. Methods: Retrospective review of combat theater deployed personnel presenting in theater for mental health treatment were screened for the presence theater limiting mental health conditions that were present prior to combat deployment. Rates were retrospectively established for patients who could be treated in theater (N=511 compared to those that necessitated theater medical evacuation (N=123 due to psychiatric decompensation. Findings: 50.1 percent of those medically evacuated had a previously identified theater limiting mental health condition, statistically different than those with a newly identified mental health condition treated in theater (P<.0001. Those with retrospectively determined medical screening failures were 52 times more likely to evacuated (OR 52.61, 95% CI 25-108 than those without. This study demonstrates potential support of the utilization of existing pre-deployment medical screening procedures.

  3. Deployment Strategies and Clustering Protocols Efficiency

    Directory of Open Access Journals (Sweden)

    Chérif Diallo

    2017-06-01

    Full Text Available Wireless sensor networks face significant design challenges due to limited computing and storage capacities and, most importantly, dependence on limited battery power. Energy is a critical resource and is often an important issue to the deployment of sensor applications that claim to be omnipresent in the world of future. Thus optimizing the deployment of sensors becomes a major constraint in the design and implementation of a WSN in order to ensure better network operations. In wireless networking, clustering techniques add scalability, reduce the computation complexity of routing protocols, allow data aggregation and then enhance the network performance. The well-known MaxMin clustering algorithm was previously generalized, corrected and validated. Then, in a previous work we have improved MaxMin by proposing a Single- node Cluster Reduction (SNCR mechanism which eliminates single-node clusters and then improve energy efficiency. In this paper, we show that MaxMin, because of its original pathological case, does not support the grid deployment topology, which is frequently used in WSN architectures. The unreliability feature of the wireless links could have negative impacts on Link Quality Indicator (LQI based clustering protocols. So, in the second part of this paper we show how our distributed Link Quality based d- Clustering Protocol (LQI-DCP has good performance in both stable and high unreliable link environments. Finally, performance evaluation results also show that LQI-DCP fully supports the grid deployment topology and is more energy efficient than MaxMin.

  4. Thermally stable deployable structure

    Science.gov (United States)

    Kegg, Colleen M.

    1988-01-01

    A deployable structure which meets stringent thermal and strength requirements in a space environment was developed. A mast with a very low coefficient of thermal expansion (CTE) was required to limit the movement from thermal distortion over the temperature range of -200 C to 80 C to .064 cm (.025 in). In addition, a high bending strength over the temperature range and weight less than 18.1 kg (40 lbs) was needed. To meet all of the requirements, a composite, near-zero CTE structure was developed. The measured average CTE over the temperature range for the mast was .70 x .000001/C (.38 x .000001/F). The design also has the advantage of being adjustable to attain other specific CTE if desired.

  5. Forward Deployed Robotic Unit

    Science.gov (United States)

    Brendle, Bruce E., Jr.; Bornstein, Jonathan A.

    2000-07-01

    Forward Deployed Robotic Unit (FDRU) is a core science and technology objective of the US Army, which will demonstrate the impact of autonomous systems on all phases of future land warfare. It will develop, integrate and demonstrate technology required to achieve robotic and fire control capabilities for future land combat vehicles, e.g., Future Combat Systems, using a system of systems approach that culminates in a field demonstration in 2005. It will also provide the required unmanned assets and conduct the demonstration. Battle Lab Warfighting Experiments and data analysis required to understand the effects of unmanned assets on combat operations. The US Army Tank- Automotive & Armaments Command and the US Army Research Laboratory are teaming in an effort to leverage prior technology achievements in the areas of autonomous mobility, architecture, sensor and robotics system integration; advance the state-of-the-art in these areas; and to provide field demonstration/application of the technologies.

  6. Complex Deployed Responsive Service

    Science.gov (United States)

    Parry, Glenn; McLening, Marc; Caldwell, Nigel; Thompson, Rob

    A pizza restaurant must provide product, in the form of the food and drink, and service in the way this is delivered to the customer. Providing this has distinct operational challenges, but what if the restaurant also provides a home delivery service? The service becomes deployed as the customer is no-longer co-located with the production area. The business challenge is complicated as service needs to be delivered within a geographic region, to time or the pizza will be cold, and within a cost that is not ­prohibitive. It must also be responsive to short term demand; needing to balance the number of staff it has available to undertake deliveries against a forecast of demand.

  7. Deployable Pipe-Z

    Science.gov (United States)

    Zawidzki, Machi

    2016-10-01

    This paper presents a concept of deployable Pipe-Z (dPZ): a modular structural system which takes advantage of the robustness of rigid-panel mechanism and allows to create free-form links which are also reconfigurable and deployable. The concept presented can be applied for building habitats and infrastructures for human exploration of oceans and outer space. dPZ structures can adapt to changing requirements e.g. mission objectives, crew condition and technological developments. Furthermore, such lightweight and adaptable structural concept can assist in sustainable exploration development. After brief introduction, the concept of Pipe-Z (PZ) is presented. Next, the reconfigurability of PZ is explained and illustrated with continuous and collision-free transition from a PZ forming a Trefoil knot to a Figure-eight knot. The following sections introduce, explain and illustrate the folding mechanism of a single foldable Pipe-Z module (fPZM) and entire dPZ structure. The latter is illustrated with asynchronous (delayed) unfolding of a relatively complex Unknot. Several applications of PZ are suggested, namely for underwater and deep-space and surface habitats, for permanent, but in particular, temporary or emergency passages. As an example, a scenario of a failure of one of the modules of the International Space Station is presented where a rigid structure of 40 fPZMs bypasses the "dead link". A low-fidelity prototype of a 6-module octagonal dPZ is presented; several folding schemes including concentric toric rings are demonstrated. Practical issues of pressurization and packing are briefly discussed.

  8. Intelligent interface design and evaluation

    Science.gov (United States)

    Greitzer, Frank L.

    1988-01-01

    Intelligent interface concepts and systematic approaches to assessing their functionality are discussed. Four general features of intelligent interfaces are described: interaction efficiency, subtask automation, context sensitivity, and use of an appropriate design metaphor. Three evaluation methods are discussed: Functional Analysis, Part-Task Evaluation, and Operational Testing. Design and evaluation concepts are illustrated with examples from a prototype expert system interface for environmental control and life support systems for manned space platforms.

  9. Intelligence Fusion for Combined Operations

    Science.gov (United States)

    1994-06-03

    doctrine on intelligence in combined operations, the lessons learned from the most recent combined operations, the current state of intelligence fision ...control of nuclear weapons and arms proliferation in the former Soviet Union.’ In Asia, the United States maintains a military presence in support of...emanating from other than nuclear or radioactive sources. Individual Reports Database - The portion of the LOCE database consisting of entity data records

  10. Cooperation and the evolution of intelligence.

    Science.gov (United States)

    McNally, Luke; Brown, Sam P; Jackson, Andrew L

    2012-08-01

    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.

  11. 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

  12. CMS software deployment on OSG

    Energy Technology Data Exchange (ETDEWEB)

    Kim, B; Avery, P [University of Florida, Gainesville, FL 32611 (United States); Thomas, M [California Institute of Technology, Pasadena, CA 91125 (United States); Wuerthwein, F [University of California at San Diego, La Jolla, CA 92093 (United States)], E-mail: bockjoo@phys.ufl.edu, E-mail: thomas@hep.caltech.edu, E-mail: avery@phys.ufl.edu, E-mail: fkw@fnal.gov

    2008-07-15

    A set of software deployment tools has been developed for the installation, verification, and removal of a CMS software release. The tools that are mainly targeted for the deployment on the OSG have the features of instant release deployment, corrective resubmission of the initial installation job, and an independent web-based deployment portal with Grid security infrastructure login mechanism. We have been deploying over 500 installations and found the tools are reliable and adaptable to cope with problems with changes in the Grid computing environment and the software releases. We present the design of the tools, statistics that we gathered during the operation of the tools, and our experience with the CMS software deployment on the OSG Grid computing environment.

  13. Family Reintegration Following Guard Deployment

    Science.gov (United States)

    2010-09-20

    expectations is a key process that has to occur for successful reintegration of the veteran back into the family. Both parties have to work out their...describe veterans and families perceptions of: Aim 1. Their experience with family reintegration and the challenges reintegration presents; Aim 2...deployment, and post deployment shape the degree of challenges with reintegration that a veteran and their family will encounter. Pre-deployment, the

  14. Design optimization of deployable wings

    Science.gov (United States)

    Gaddam, Pradeep

    Morphing technology is an important aspect of UAV design, particularly in regards to deployable systems. The design of such system has an important impact on the vehicle's performance. The primary focus of the present research work was to determine the most optimum deployable wing design from 3 competing designs and develop one of the deployable wing designs to test in the research facility. A Matlab code was developed to optimize 3 deployable wing concepts inflatable, inflatable telescopic and rigid-folding wings based on a sequential optimization strategy. The constraints that were part of the code include the packaging constraints during its stowed state, fixed length of the deployed section and the minimum L/D constraint. This code resulted in determining the optimum weight of all the 3 designs, the most optimum weight design is the inflatable wing design. This is a result of the flexible skin material and also due to no rigid parts in the deployed wing section. Another goal of the research involved developing an inflatable telescopic wing. The prototype was tested in a wind tunnel, while the actual wing was tested in the altitude chamber to determine the deployment speed, input pressure, analyze and predict the deployment sequence and behavior of the wing at such high wind speeds and altitudes ranging from 60,000 ft to 90,000 ft. Results from these tests allowed us to conclude the deployment sequence of the telescopic wing followed from the root to the tip section. The results were used to analyze the deployment time of the wing. As expected the deployment time decreased with an increase in input pressure. The results also show us that as the altitude increases, the deployment speed of the wing also increased. This was demonstrated when the wing was tested at a maximum altitude pressure of 90,000ft, well above the design altitude of 60,000ft.

  15. Mastering Hyper-V Deployment

    CERN Document Server

    Finn, Aidan

    2010-01-01

    The only book to take an in-depth look at deploying Hyper-V. Now in its second generation, the popular Hyper-V boasts technical advances that create even more dynamic systems than ever before. This unique resource serves an authoritative guide to deploying Windows Server 2008 R2 Hyper-V comprehensively. Step-by-step instructions demonstrate how to design a Hyper-V deployment, build a Hyper-V host environment, and design a management system with System Center Virtual Machine Manager 2008 R2.: Features real-world examples that show you how to design a Hyper-V deployment, build a Hyper-V host env

  16. Infrastructure Engineering and Deployment Division

    Data.gov (United States)

    Federal Laboratory Consortium — Volpe's Infrastructure Engineering and Deployment Division advances transportation innovation by being leaders in infrastructure technology, including vehicles and...

  17. Employee Trust Based Industrial Device Deployment and Initial Key Establishment

    OpenAIRE

    Apala Ray; Johan Akerberg; Mats Bjorkman; Mikael Gidlund

    2016-01-01

    An efficient key management system is required to support cryptography. Most key management systems use either pre-installed shared keys or install initial security parameters using out-of-band channels. These methods create an additional burden for engineers who manage the devices in industrial plants. Hence, device deployment in industrial plants becomes a challenging task in order to achieve security. In this work, we present a device deployment framework that can support key management us...

  18. BUSINESS INTELLIGENCE: KONSEP DAN METODE

    Directory of Open Access Journals (Sweden)

    Suparto Darudiato

    2010-05-01

    Full Text Available Recently, usage of Information Technology (IT as assisting tools in business activities is becoming more common. Business transactions are conducted with support of IT tools so that they can be well processed by system. This is only a small part of IT usage in supporting business activities. IT role can be increased by designing and implementing a system which can extract and change business information from existing operational data so that in the end it can give support in formulating business decisions. This research will discuss the concept, benefits, categories, and method of Business Intelligence implementation.Keywords: business intelligence, method, balanced scorecard

  19. Deployable Fresnel Rings

    Science.gov (United States)

    Kennedy, Timothy F.; Fink, Patrick W.; Chu, Andrew W.; Lin, Gregory Y.

    2014-01-01

    Deployable Fresnel rings (DFRs) significantly enhance the realizable gain of an antenna. This innovation is intended to be used in combination with another antenna element, as the DFR itself acts as a focusing or microwave lens element for a primary antenna. This method is completely passive, and is also completely wireless in that it requires neither a cable, nor a connector from the antenna port of the primary antenna to the DFR. The technology improves upon the previous NASA technology called a Tri-Sector Deployable Array Antenna in at least three critical aspects. In contrast to the previous technology, this innovation requires no connector, cable, or other physical interface to the primary communication radio or sensor device. The achievable improvement in terms of antenna gain is significantly higher than has been achieved with the previous technology. Also, where previous embodiments of the Tri-Sector antenna have been constructed with combinations of conventional (e.g., printed circuit board) and conductive fabric materials, this innovation is realized using only conductive and non-conductive fabric (i.e., "e-textile") materials, with the possible exception of a spring-like deployment ring. Conceptually, a DFR operates by canceling the out-of-phase radiation at a plane by insertion of a conducting ring or rings of a specific size and distance from the source antenna, defined by Fresnel zones. Design of DFRs follow similar procedures to those outlined for conventional Fresnel zone rings. Gain enhancement using a single ring is verified experimentally and through computational simulation. The experimental test setup involves a microstrip patch antenna that is directly behind a single-ring DFR and is radiating towards a second microstrip patch antenna. The first patch antenna and DFR are shown. At 2.42 GHz, the DFR improves the transmit antenna gain by 8.6 dB, as shown in Figure 2, relative to the wireless link without the DFR. A figure illustrates the

  20. Civic Intelligence.

    Science.gov (United States)

    Mathews, David

    1985-01-01

    Social studies must educate students to be socially responsible, civically competent persons. In addition to encouraging civic literacy, civic values, and civic skill, teachers need to help students develop civic-mindedness. The objective of the NCSS' National Issues Forum in the Classroom Project is to develop students' civic intelligence. (RM)

  1. 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.

  2. Ambient intelligence

    OpenAIRE

    Sanders, David; Gegov, Alexander

    2006-01-01

    This paper considers some history and the state of the art of Ambient Intelligence and from that seeks to identify new topics and future work. Ubiquitous computing, communications, human-centric computer interaction, embedded systems, context awareness, adaptive systems and distributed device networks are considered.

  3. Deployment and post-deployment experiences in OEF/OIF veterans: relationship to gray matter volume.

    Directory of Open Access Journals (Sweden)

    Robin L Aupperle

    Full Text Available BACKGROUND: Combat-related PTSD has been associated with reduced gray matter volume in regions of the prefrontal and temporal cortex, hippocampus, insula, and amygdala. However, the relationship between gray matter volume and specific deployment and post-deployment experiences has not been investigated. The aim of this study was to delineate how such experiences may contribute to structural brain changes for combat veterans. METHODS: Operation Iraqi Freedom/Operation Enduring Freedom veterans (N = 32 completed magnetic resonance imaging, the Deployment Risk and Resilience Inventory, Alcohol Use Disorders Identification Test, and Clinical Administered PTSD Scale. Voxel-wise Huber robust multiple regressions were used to quantify the relationship between gray matter volume and deployment experiences (combat experiences, military social support and post-deployment symptoms (PTSD, alcohol use. RESULTS: There was an interaction between severity of combat experiences and military social support for orbitofrontal gyrus gray matter volume. Specifically, individuals with more orbitofrontal gyrus gray matter volume reported less combat experiences and higher unit support. Individuals with more severe PTSD symptoms showed reduced gray matter volume within a large temporal region (inferior temporal and parahippocampal gyrus. CONCLUSIONS: The identified association between unit support and orbitofrontal gyrus volume supports two potential resilience mechanisms to be delineated with future longitudinal studies. First, individuals with larger orbitofrontal gyrus may engage in greater quality of social interactions and thus experience combat as less stressful. Second, individuals who experience greater unit support may preserve a larger orbitofrontal gyrus, serving to "protect" them from aversive consequences of combat.

  4. Martian environmental simulation for a deployable lattice mast

    Science.gov (United States)

    Warden, Robert M.

    1994-01-01

    The Mars Pathfinder mission (formerly Mars Environmental Survey or MESUR) is scheduled for launch in December 1996 and is designed to place a small lander on the surface of Mars. After impact, the lander unfolds to expose its solar panels and release a miniature rover. Also on board is the Imager for Mars Pathfinder (IMP) binocular camera which is elevated by a deployable mast to obtain a panoramic view of the landing area. The design of this deployable mast is based on similar designs which have a long and successful flight history. In the past when this type of self-deployable mast has been used, a rate limiter has been incorporated to control the speed of deployment. In this application, to reduce weight and complexity, it was proposed to eliminate the rate limiter so that the mast would deploy without restraint. Preliminary tests showed that this type of deployment was possible especially if the deployed length was relatively short, as in this application. Compounding the problem, however, was the requirement to deploy the mast at an angle of up to 30 degrees from vertical. The deployment process was difficult to completely analyze due to the effects of gravitational and inertial loads on the mast and camera during rapid extension. Testing in a realistic manner was imperative to verify the system performance. A deployment test was therefore performed to determine the maximum tilt angle at which the mast could reliably extend and support the camera on Mars. The testing of the deployable mast requires partial gravity compensation to simulate the smaller force of Martian gravity. During the test, mass properties were maintained while weight properties were reduced. This paper describes the testing of a deployable mast in a simulated Martian environment as well as the results of the tests.

  5. Optimizing Force Deployment and Force Structure for the Rapid Deployment Force

    Science.gov (United States)

    1984-03-01

    this st. wiIl address only air-deployed, air-supported units. Tf close presence, in a crisis , of logistics ships or Marlr Amphibious units is fortuitous...Intnatneater UTE -at-es are generally less than intertheater UTE Rates +or the same aircraft. At the cargo handling ends of the flight route, critica

  6. Targeted business intelligence pays off.

    Science.gov (United States)

    Hennen, James

    2009-03-01

    Application business intelligence can accomplish much of what large-scale, enterprisewide efforts can accomplish: Focus on a variety of data that are interrelated in a meaningful way, Support decision making at multiple levels within a given organization, Leverage data that are already captured but not fully used, Provide actionable information and support quick response via a dashboard or control panel.

  7. Reintegration Difficulty of Military Couples Following Deployment

    Science.gov (United States)

    2016-07-01

    data from a fairly large and geographically dispersed cohort, but it prevented us from probing people’s answers. Interview procedures such as the ones...2010), then our data may understate the issues military couples face during their first deployment. Future work should seek more heterogeneous ...Valdez, Geena Wakeley, and Lauren Whalley for their help with recruitment and coding. Funding This research was supported by a seed grant from the

  8. Estimation of mechanical properties of nanomaterials using artificial intelligence methods

    Science.gov (United States)

    Vijayaraghavan, V.; Garg, A.; Wong, C. H.; Tai, K.

    2014-09-01

    Computational modeling tools such as molecular dynamics (MD), ab initio, finite element modeling or continuum mechanics models have been extensively applied to study the properties of carbon nanotubes (CNTs) based on given input variables such as temperature, geometry and defects. Artificial intelligence techniques can be used to further complement the application of numerical methods in characterizing the properties of CNTs. In this paper, we have introduced the application of multi-gene genetic programming (MGGP) and support vector regression to formulate the mathematical relationship between the compressive strength of CNTs and input variables such as temperature and diameter. The predictions of compressive strength of CNTs made by these models are compared to those generated using MD simulations. The results indicate that MGGP method can be deployed as a powerful method for predicting the compressive strength of the carbon nanotubes.

  9. The U.S. Army Functional Concept for Intelligence 2020-2040

    Science.gov (United States)

    2017-02-01

    core competency capabilities of collection, processing, exploitation and dissemination (PED), analysis , and intelligence synchronization to support...in supporting incident awareness and assessment to inform decision-making and perform OE analysis . (2) Legal constraints govern intelligence ...to develop an enterprise approach to collection, PED, analysis , and intelligence dissemination.19 Army intelligence forces transitioned from the

  10. Video Analytics for Business Intelligence

    CERN Document Server

    Porikli, Fatih; Xiang, Tao; Gong, Shaogang

    2012-01-01

    Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the sho...

  11. Self-organized multi-camera network for a fast and easy deployment of ubiquitous robots in unknown environments.

    Science.gov (United States)

    Canedo-Rodriguez, Adrián; Iglesias, Roberto; Regueiro, Carlos V; Alvarez-Santos, Victor; Pardo, Xose Manuel

    2012-12-27

    To bring cutting edge robotics from research centres to social environments, the robotics community must start providing affordable solutions: the costs must be reduced and the quality and usefulness of the robot services must be enhanced. Unfortunately, nowadays the deployment of robots and the adaptation of their services to new environments are tasks that usually require several days of expert work. With this in view, we present a multi-agent system made up of intelligent cameras and autonomous robots, which is easy and fast to deploy in different environments. The cameras will enhance the robot perceptions and allow them to react to situations that require their services. Additionally, the cameras will support the movement of the robots. This will enable our robots to navigate even when there are not maps available. The deployment of our system does not require expertise and can be done in a short period of time, since neither software nor hardware tuning is needed. Every system task is automatic, distributed and based on self-organization processes. Our system is scalable, robust, and flexible to the environment. We carried out several real world experiments, which show the good performance of our proposal.

  12. Self-Organized Multi-Camera Network for a Fast and Easy Deployment of Ubiquitous Robots in Unknown Environments

    Directory of Open Access Journals (Sweden)

    Xose Manuel Pardo

    2012-12-01

    Full Text Available To bring cutting edge robotics from research centres to social environments, the robotics community must start providing affordable solutions: the costs must be reduced and the quality and usefulness of the robot services must be enhanced. Unfortunately, nowadays the deployment of robots and the adaptation of their services to new environments are tasks that usually require several days of expert work. With this in view, we present a multi-agent system made up of intelligent cameras and autonomous robots, which is easy and fast to deploy in different environments. The cameras will enhance the robot perceptions and allow them to react to situations that require their services. Additionally, the cameras will support the movement of the robots. This will enable our robots to navigate even when there are not maps available. The deployment of our system does not require expertise and can be done in a short period of time, since neither software nor hardware tuning is needed. Every system task is automatic, distributed and based on self-organization processes. Our system is scalable, robust, and flexible to the environment. We carried out several real world experiments, which show the good performance of our proposal.

  13. Digital Forensics to Intelligent Forensics

    Directory of Open Access Journals (Sweden)

    Alastair Irons

    2014-09-01

    Full Text Available In this paper we posit that current investigative techniques—particularly as deployed by law enforcement, are becoming unsuitable for most types of crime investigation. The growth in cybercrime and the complexities of the types of the cybercrime coupled with the limitations in time and resources, both computational and human, in addressing cybercrime put an increasing strain on the ability of digital investigators to apply the processes of digital forensics and digital investigations to obtain timely results. In order to combat the problems, there is a need to enhance the use of the resources available and move beyond the capabilities and constraints of the forensic tools that are in current use. We argue that more intelligent techniques are necessary and should be used proactively. The paper makes the case for the need for such tools and techniques, and investigates and discusses the opportunities afforded by applying principles and procedures of artificial intelligence to digital forensics intelligence and to intelligent forensics and suggests that by applying new techniques to digital investigations there is the opportunity to address the challenges of the larger and more complex domains in which cybercrimes are taking place.

  14. Device Measures Angle Of Deployment

    Science.gov (United States)

    Jermakian, Joel B.

    1991-01-01

    Simple electromechanical device indicates angular position of unfolding panel during and after deployment. Resistance of potentiometer gradually increases as unfolding of solar panel about hinge moves wiper of potentiometer. At full deployment, panel pushes and opens normally closed switch. Designed for use on panel of solar photovoltaic cells in spacecraft, modified for use in other, similar position-indicating applications.

  15. 基于SWOT的智能型动态战略决策支持系统的分析和实现%A Study of SWOT-based Intelligent Dynamic Strategic Decision Support System

    Institute of Scientific and Technical Information of China (English)

    王宗军; 蒋元涛

    2004-01-01

    战略决策是管理决策中的结构不良问题.本文建立基于SWOT的智能型动态式战略决策支持系统(SWOT-based Intelligent Dynamic Strategic Decision Support System,简称SIDSDSS),首先给出SDSS的研究现状,在阐述SIDSDSS设计原理的基础上,重点分析系统的基本结构和功能,探讨系统的战略决策机理和实现技术.

  16. Multipoint sensing by intelligent collectives

    Science.gov (United States)

    Clare, L. P.

    2002-01-01

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

  17. Deployment simulation of a deployable reflector for earth science application

    Science.gov (United States)

    Wang, Xiaokai; Fang, Houfei; Cai, Bei; Ma, Xiaofei

    2015-10-01

    A novel mission concept namely NEXRAD-In-Space (NIS) has been developed for monitoring hurricanes, cyclones and other severe storms from a geostationary orbit. It requires a space deployable 35-meter diameter Ka-band (35 GHz) reflector. NIS can measure hurricane precipitation intensity, dynamics and its life cycle. These information is necessary for predicting the track, intensity, rain rate and hurricane-induced floods. To meet the requirements of the radar system, a Membrane Shell Reflector Segment (MSRS) reflector technology has been developed and several technologies have been evaluated. However, the deployment analysis of this large size and high-precision reflector has not been investigated. For a pre-studies, a scaled tetrahedral truss reflector with spring driving deployment system has been made and tested, deployment dynamics analysis of this scaled reflector has been performed using ADAMS to understand its deployment dynamic behaviors. Eliminating the redundant constraints in the reflector system with a large number of moving parts is a challenging issue. A primitive joint and flexible struts were introduced to the analytical model and they can effectively eliminate over constraints of the model. By using a high-speed camera and a force transducer, a deployment experiment of a single-bay tetrahedral module has been conducted. With the tested results, an optimization process has been performed by using the parameter optimization module of ADAMS to obtain the parameters of the analytical model. These parameters were incorporated to the analytical model of the whole reflector. It is observed from the analysis results that the deployment process of the reflector with a fixed boundary experiences three stages. These stages are rapid deployment stage, slow deployment stage and impact stage. The insight of the force peak distributions of the reflector can help the optimization design of the structure.

  18. Inadequate Evidence for Multiple Intelligences, Mozart Effect, and Emotional Intelligence Theories

    Science.gov (United States)

    Waterhouse, Lynn

    2006-01-01

    I (Waterhouse, 2006) argued that, because multiple intelligences, the Mozart effect, and emotional intelligence theories have inadequate empirical support and are not consistent with cognitive neuroscience findings, these theories should not be applied in education. Proponents countered that their theories had sufficient empirical support, were…

  19. Inadequate Evidence for Multiple Intelligences, Mozart Effect, and Emotional Intelligence Theories

    Science.gov (United States)

    Waterhouse, Lynn

    2006-01-01

    I (Waterhouse, 2006) argued that, because multiple intelligences, the Mozart effect, and emotional intelligence theories have inadequate empirical support and are not consistent with cognitive neuroscience findings, these theories should not be applied in education. Proponents countered that their theories had sufficient empirical support, were…

  20. Team B Intelligence Coups

    Science.gov (United States)

    Mitchell, Gordon R.

    2006-01-01

    The 2003 Iraq prewar intelligence failure was not simply a case of the U.S. intelligence community providing flawed data to policy-makers. It also involved subversion of the competitive intelligence analysis process, where unofficial intelligence boutiques "stovepiped" misleading intelligence assessments directly to policy-makers and…

  1. Quasi-static Deployment Simulation for Deployable Space Truss Structures

    Institute of Scientific and Technical Information of China (English)

    陈务军; 付功义; 何艳丽; 董石麟

    2004-01-01

    A new method was proposed for quasi-static deployment analysis of deployable space truss structures. The structure is assumed a rigid assembly, whose constraints are classified as three categories:rigid member constraint, joint-attached kinematic constraint and boundary constraint. And their geometric constraint equations and derivative matrices are formulated. The basis of the null space and M-P inverse of the geometric constraint matrix are employed to determine the solution for quasi-static deployment analysis. The influence introduced by higher terms of constraints is evaluated subsequently. The numerical tests show that the new method is efficient.

  2. Artificial Intelligence.

    Science.gov (United States)

    Lawrence, David R; Palacios-González, César; Harris, John

    2016-04-01

    It seems natural to think that the same prudential and ethical reasons for mutual respect and tolerance that one has vis-à-vis other human persons would hold toward newly encountered paradigmatic but nonhuman biological persons. One also tends to think that they would have similar reasons for treating we humans as creatures that count morally in our own right. This line of thought transcends biological boundaries-namely, with regard to artificially (super)intelligent persons-but is this a safe assumption? The issue concerns ultimate moral significance: the significance possessed by human persons, persons from other planets, and hypothetical nonorganic persons in the form of artificial intelligence (AI). This article investigates why our possible relations to AI persons could be more complicated than they first might appear, given that they might possess a radically different nature to us, to the point that civilized or peaceful coexistence in a determinate geographical space could be impossible to achieve.

  3. Intelligence Revisited

    Science.gov (United States)

    2005-05-01

    environment (i.e., culture , class, family, educational 2 Chapter 23 Intelligence Revisited opportunities, gender) shapes our intellect, and there are no...connectivity is going to be rather problematic, to say the least. A single nano-bot cruising this Disneyland of synaptic wonderment is certainly... cultures ). Embodiment – A sense of being anchored to our physical bodies. Agency – A sense of free will, wherein we are in charge of our own

  4. Support Vector Machine Based Online Intelligent Chatter Detection%基于支持向量机的颤振在线智能检测

    Institute of Scientific and Technical Information of China (English)

    钱士才; 孙宇昕; 熊振华

    2015-01-01

    为了检测车削过程中的颤振,提出一种颤振在线智能检测方法。使用最小二乘一类支持向量机,训练出描述特征矢量集的超球面,通过计算被测样本与超球面的距离来判断其是否颤振。基于相干准则和分块矩阵求逆,构造了在线稀疏结构的最小二乘一类支持向量机,将特征信息存储于特征库(字典)中,通过更新特征库实现检测模型的在线进化。在颤振检测的应用中,首先使用小波包分解,得到第三层节点能量的比例作为特征矢量,以离线数据构造特征矢量作为输入,训练得到初始检测模型以及特征库,在线检测中不断更新特征库,实现检测模型的在线进化。试验结果表明,在车削颤振识别中,在线进化的检测模型的识别效果更好,颤振预报准确率高达至99.04%,优于离线模型的预报准确率96.74%。%In order to detect chatter in the process of turning, an online intelligent chatter detection method is proposed. In this method, least squares one class support vector machine(LS-OC-SVM) is used to extract a hyper plane as an optimal description of training objects. Chatter is detected by computing the distance between the sample to be tested and the hyper plane. Sparse online LS-OC-SVM is proposed based on coherence criterion and partitioned matrix inversion, so that features information can be stored in the feature library which is also called dictionary. The detection model can be evolved continuously through the online update of feature library. In the application of chatter detection, firstly, feature vector is constructed for chatter detection based on node energy ratios of the third level of wavelet packet decomposition. Then, initial detection model and feature library are trained by using offline feature vectors as input. In the online detection scheme, the detection model is evolved while feature library is updated. The experimental results show

  5. Evolutionist of intelligence. Introduction

    Directory of Open Access Journals (Sweden)

    Marcin Miłkowski

    2011-10-01

    Full Text Available It would be hard to find a more fervent advocate of the position that computers are of profound significance to philosophy than Aaron Sloman. Yet, he is not a stereotypical proponent of Artificial Intelligence (AI. Far from it; in his writings, he undermines several popular convictions of functionalists. Through his drafts and polemics, Sloman definitely exerts quite substantial influence on the philosophy of Artificial Intelligence. Sloman's paper “Evolution: The Computer Systems Engineer Designing Minds” presents a bold hypothesis that the evolution of the human mind actually involved the development of a several dozen of virtual machines that support various forms of self-monitoring. This, in turn, helps explain different features of our cognitive functioning.

  6. Fostering collective intelligence education

    Directory of Open Access Journals (Sweden)

    Jaime Meza

    2016-06-01

    Full Text Available New educational models are necessary to update learning environments to the digitally shared communication and information. Collective intelligence is an emerging field that already has a significant impact in many areas and will have great implications in education, not only from the side of new methodologies but also as a challenge for education. This paper proposes an approach to a collective intelligence model of teaching using Internet to combine two strategies: idea management and real time assessment in the class. A digital tool named Fabricius has been created supporting these two elements to foster the collaboration and engagement of students in the learning process. As a result of the research we propose a list of KPI trying to measure individual and collective performance. We are conscious that this is just a first approach to define which aspects of a class following a course can be qualified and quantified.

  7. Deployable Structural Booms for Large Deployable Solar Arrays Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The development of a new generation of large, high power deployable solar arrays has been identified as the most significant challenge facing the development of...

  8. Games and entertainment in ambient intelligence environments

    NARCIS (Netherlands)

    Nijholt, Anton; Reidsma, Dennis; Poppe, Ronald; 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, came

  9. Measuring Components of Intelligence: Mission Impossible?

    Science.gov (United States)

    Gregoire, Jacques

    2013-01-01

    The two studies conducted by Weiss, Keith, Zhu, and Chen in 2013 on the Wechsler Adult Intelligence Scale (WAIS-IV) and the Wechsler Intelligence Scale for Children (WISC-IV), respectively, provide strong evidence for the validity of a four-factor solution corresponding to the current hierarchical model of both scales. These analyses support the…

  10. Measuring Components of Intelligence: Mission Impossible?

    Science.gov (United States)

    Gregoire, Jacques

    2013-01-01

    The two studies conducted by Weiss, Keith, Zhu, and Chen in 2013 on the Wechsler Adult Intelligence Scale (WAIS-IV) and the Wechsler Intelligence Scale for Children (WISC-IV), respectively, provide strong evidence for the validity of a four-factor solution corresponding to the current hierarchical model of both scales. These analyses support the…

  11. Self deployable deorbiting space structure

    DEFF Research Database (Denmark)

    2012-01-01

    -active or heavy device has to be brought on board the spacecraft for deploying the space structure. Allows the deployed flexible sheet surface higher than the case when SDSS is rigidly linked at the short distance from carrier structure. Ensures a reliable unfolding of deorbiting structures in zero gravity....... Provides the strain energy provoking the deployment without the need of addition of energy to the system. Eliminates the issues around successful unfolding known from other technical solutions as the frame unfolds automatically without using external energy for unfolding by using the accumulated strain...... energy in stressed configuration. Ensures that deorbiting space structure can be efficiently folded without intervention of active unfolding device....

  12. Differential Child Maltreatment Risk Across Deployment Periods of US Army Soldiers.

    Science.gov (United States)

    Taylor, Christine M; Ross, Michelle E; Wood, Joanne N; Griffis, Heather M; Harb, Gerlinde C; Mi, Lanyu; Song, Lihai; Strane, Douglas; Lynch, Kevin G; Rubin, David M

    2016-01-01

    We described the risk for maltreatment among toddlers of US Army soldiers over different deployment cycles to develop a systematic response within the US Army to provide families appropriate supports. We conducted a person-time analysis of substantiated maltreatment reports and medical diagnoses among children of 112,325 deployed US Army soldiers between 2001 and 2007. Risk of maltreatment was elevated after deployment for children of soldiers deployed once but not for children of soldiers deployed twice. During the 6 months after deployment, children of soldiers deployed once had 4.43 substantiated maltreatment reports and 4.96 medical diagnoses per 10,000 child-months. The highest maltreatment rate among children of soldiers deployed twice occurred during the second deployment for substantiated maltreatment (4.83 episodes per 10,000 child-months) and before the first deployment for medical diagnoses of maltreatment (3.78 episodes per 10,000 child-months). We confirmed an elevated risk for child maltreatment during deployment but also found a previously unidentified high-risk period during the 6 months following deployment, indicating elevated stress within families of deployed and returning soldiers. These findings can inform efforts by the military to initiate and standardize support and preparation to families during periods of elevated risk.

  13. New concepts in deployable beam structures

    Science.gov (United States)

    Rhodes, M. D.

    1985-01-01

    The design of deployable structures involves a complicated tradeoff of packaging efficiency, the overall mechanism associated with deploying and latching beam joints, and the requirements and complexity of the beam deployer/repacker. Three longeron deployable beams, controllable geometry beams, and hybrid deployable/erectable beam concepts are evaluated.

  14. The Correlation Research on Social Support and Emotional Intelligence of University Freshmen%大学新生社会支持与情绪智力的相关性

    Institute of Scientific and Technical Information of China (English)

    文雅; 于晨; 刘璟璇; 连波; 王钢; 孙琳

    2016-01-01

    目的:探讨大学新生社会支持与情绪智力之间的关系。方法:采用社会支持评定量表和大学生情绪智力量表对山东某本科院校488名大一新生进行调查。结果:①性别、独生子女、何时住校、家庭关系对社会支持总分有影响(t =‐2.230,‐1.99,4.095;P <0.05;t =16.420,P <0.001),文理科在支持利用度上有显著统计学意义(t =5.571,P <0.01);②性别、生源地、独生子女、家庭关系对情绪智力部分因子差异有统计学意义,文理科对情绪智力全部因子差异都有显著统计学意义。何时住校对情绪智力差异没有统计学意义;③社会支持总分、客观支持、主观支持和支持利用度与新生情智力总分之间呈显著正相关(r =0.300,0.110,0.237,0.306;P <0.01);④客观支持与情绪表现能力之间相关不显著,但与情绪觉知力(r =0.112,P <0.05)、情绪评价能力(r =0.100,P <0.05)、情绪适应力(r =0.135,P <0.01)和情绪调控能力(r =0.092,P <0.05)有着显著正相关;⑤主观支持和支持利用度对情绪觉知力、情绪评价能力和情绪适应力具有预测作用。结论:大学新生情绪智力与社会支持之间存在密切相关关系,大学新生社会支持的提高有利于情绪智力的发展。%Objective :To investigate the relationship between social support and emotional intelligence of university freshmen .Methods :Using the social support rating scale and emotional intelligence scale to survey 488 college fresh‐men from a Shandong University .Results :① There were significant differences in social support among gender ,only child or not ,family relationship and when boarding (t = ‐2 .230 ,‐1 .99 ;F = 16 .42 ,4 .095 ;P < 0 .05) ;② There were sig‐nificant differences among gender ,student nationalities ,noly child or not ,family

  15. Trends in Artificial Intelligence.

    Science.gov (United States)

    Hayes, Patrick

    1978-01-01

    Discusses the foundations of artificial intelligence as a science and the types of answers that may be given to the question, "What is intelligence?" The paradigms of artificial intelligence and general systems theory are compared. (Author/VT)

  16. Assessing Intelligence in Children and Youth Living in the Netherlands

    Science.gov (United States)

    Hurks, Petra P. M.; Bakker, Helen

    2016-01-01

    In this article, we briefly describe the history of intelligence test use with children and youth in the Netherlands, explain which models of intelligence guide decisions about test use, and detail how intelligence tests are currently being used in Dutch school settings. Empirically supported and theoretical models studying the structure of human…

  17. The Development and Real-World Deployment of FROG, the Fun Robotic Outdoor Guide

    NARCIS (Netherlands)

    Evers, V.; Menezes, N.; Merino, L.; Gavrila, D.; Nabais, F.; Pantic, M.; Alvito, P.; Karreman, D.

    2014-01-01

    This video details the development of an intelligent outdoor Guide robot. The main objective is to deploy an innovative robotic guide which is not only able to show information, but to react to the affective states of the users, and to offer location-based services using augmented reality. The scien

  18. Deployable Entry-system Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The Deployable Entry-system ProjecT (ADEPT) will develop requirements for the ADEPT flight test.  Prior entry systems used high mass thermal protection...

  19. Architectural issues in real-time business intelligence

    OpenAIRE

    Khatiwada, Sanjeev

    2012-01-01

    Business organizations are always in need of fast and intelligent decision support system. Today’s Business environment is dynamic so data every minute are valuable. Real time Business intelligence (RTBI) is intelligence in business system which can make decision with minimum data latency from the time it is created to the time it is presented. The integration layer in Business Intelligence(BI) that extracts, transforms and loads(ETL) data in to data warehouse(DW) is the main component tha...

  20. An innovative deployable solar panel system for Cubesats

    Science.gov (United States)

    Santoni, Fabio; Piergentili, Fabrizio; Donati, Serena; Perelli, Massimo; Negri, Andrea; Marino, Michele

    2014-02-01

    One of the main Cubesat bus limitations is the available on-board power. The maximum power obtained using body mounted solar panels and advanced triple junction solar cells on a triple unit Cubesat is typically less than 10 W. The Cubesat performance and the mission scenario opened to these small satellite systems could be greatly enhanced by an increase of the available power. This paper describes the design and realization of a modular deployable solar panel system for Cubesats, consisting of a modular hinge and spring system that can be potentially used on-board single (1U), double(2U), triple (3U) and six units (6U) Cubesats. The size of each solar panels is the size of a lateral Cubesat surface. The system developed is the basis for a SADA (Solar Array Drive Assembly), in which a maneuvering capability is added to the deployed solar array in order to follow the apparent motion of the sun. The system design trade-off is discussed, comparing different deployment concepts and architectures, leading to the final selection for the modular design. A prototype of the system has been realized for a 3U Cubesat, consisting of two deployable solar panel systems, made of three solar panels each, for a total of six deployed solar panels. The deployment system is based on a plastic fiber wire and thermal cutters, guaranteeing a suitable level of reliability. A test-bed for the solar panel deployment testing has been developed, supporting the solar array during deployment reproducing the dynamical situation in orbit. The results of the deployment system testing are discussed, including the design and realization of the test-bed, the mechanical stress given to the solar cells by the deployment accelerations and the overall system performance. The maximum power delivered by the system is about 50.4 W BOL, greatly enhancing the present Cubesat solar array performance.

  1. Equipment compatibility and logistics assessment for containment foam deployment.

    Energy Technology Data Exchange (ETDEWEB)

    McRoberts, Vincent M.; Martell, Mary-Alena; Jones, Joseph A.

    2005-09-01

    The deployment of the Joint Technical Operations Team (JTOT) is evolving toward a lean and mobile response team. As a result, opportunities to support more rapid mobilization are being investigated. This study investigates three specific opportunities including: (1) the potential of using standard firefighting equipment to support deployment of the aqueous foam concentrate (AFC-380); (2) determining the feasibility and needs for regional staging of equipment to reduce the inventory currently mobilized during a JTOT response; and (3) determining the feasibility and needs for development of the next generation AFC-380 to reduce the volume of foam concentrate required for a response. This study supports the need to ensure that requirements for alternative deployment schemes are understood and in place to support improved response activities.

  2. MAINS: MULTI-AGENT INTELLIGENT SERVICE ARCHITECTURE FOR CLOUD COMPUTING

    Directory of Open Access Journals (Sweden)

    T. Joshva Devadas

    2014-04-01

    Full Text Available Computing has been transformed to a model having commoditized services. These services are modeled similar to the utility services water and electricity. The Internet has been stunningly successful over the course of past three decades in supporting multitude of distributed applications and a wide variety of network technologies. However, its popularity has become the biggest impediment to its further growth with the handheld devices mobile and laptops. Agents are intelligent software system that works on behalf of others. Agents are incorporated in many innovative applications in order to improve the performance of the system. Agent uses its possessed knowledge to react with the system and helps to improve the performance. Agents are introduced in the cloud computing is to minimize the response time when similar request is raised from an end user in the globe. In this paper, we have introduced a Multi Agent Intelligent system (MAINS prior to cloud service models and it was tested using sample dataset. Performance of the MAINS layer was analyzed in three aspects and the outcome of the analysis proves that MAINS Layer provides a flexible model to create cloud applications and deploying them in variety of applications.

  3. Web Intelligence and Artificial Intelligence in Education

    Science.gov (United States)

    Devedzic, Vladan

    2004-01-01

    This paper surveys important aspects of Web Intelligence (WI) in the context of Artificial Intelligence in Education (AIED) research. WI explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-related products, systems, services, and…

  4. Web Intelligence and Artificial Intelligence in Education

    Science.gov (United States)

    Devedzic, Vladan

    2004-01-01

    This paper surveys important aspects of Web Intelligence (WI) in the context of Artificial Intelligence in Education (AIED) research. WI explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-related products, systems, services, and…

  5. Business Intelligence

    OpenAIRE

    Strejčková, Lucie

    2006-01-01

    Cílem této bakalářské práce je seznámení s Business Intelligence a zpracování vývojového trendu, který ovlivňuje podobu řešení Business Intelligence v podniku ? Business Activity Monitoring. Pro zpracování tohoto tématu byla použita metoda studia odborných pramenů, a to jak v českém, tak v anglickém jazyce. Hlavním přínosem práce je ucelený, v českém jazyce zpracovaný materiál pojednávající o Business Activity Monitoring. Práce je rozdělena do šesti hlavních kapitol. Prvních pět je věnováno p...

  6. Business Intelligence

    OpenAIRE

    Strejčková, Lucie

    2001-01-01

    Cílem této bakalářské práce je seznámení s Business Intelligence a zpracování vývojového trendu, který ovlivňuje podobu řešení Business Intelligence v podniku ? Business Activity Monitoring. Pro zpracování tohoto tématu byla použita metoda studia odborných pramenů, a to jak v českém, tak v anglickém jazyce. Hlavním přínosem práce je ucelený, v českém jazyce zpracovaný materiál pojednávající o Business Activity Monitoring. Práce je rozdělena do šesti hlavních kapitol. Prvních pět je věnováno p...

  7. Mechanism Design and Testing of a Self-Deploying Structure Using Flexible Composite Tape Springs

    Science.gov (United States)

    Footdale, Joseph N.; Murphey, Thomas W.

    2014-01-01

    The detailed mechanical design of a novel deployable support structure that positions and tensions a membrane optic for space imagining applications is presented. This is a complex three-dimensional deployment using freely deploying rollable composite tape spring booms that become load bearing structural members at full deployment. The deployment tests successfully demonstrate a new architecture based on rolled and freely deployed composite tape spring members that achieve simultaneous deployment without mechanical synchronization. Proper design of the flexible component mounting interface and constraint systems, which were critical in achieving a functioning unit, are described. These flexible composite components have much potential for advancing the state of the art in deployable structures, but have yet to be widely adopted. This paper demonstrates the feasibility and advantages of implementing flexible composite components, including the design details on how to integrate with required traditional mechanisms.

  8. EDITORIAL Wireless sensor networks: design for real-life deployment and deployment experiences Wireless sensor networks: design for real-life deployment and deployment experiences

    Science.gov (United States)

    Gaura, Elena; Roedig, Utz; Brusey, James

    2010-12-01

    Mechanism. Cost benefits to be drawn from devising a WSN based solution to classic application areas such as surveillance are often a prime motivator for WSN designers; an example is offered here based on the use of intelligent agents for intrusion monitoring. Last but not least, the practicality and usability of the WSN solutions found for novel applications is key to their adoption. This is particularly true when the end-users of the developed technology are medical patients. The importance of feedback, elegant hardware encapsulation and extraction of meaning from data is presented in the context of novel orthopedic rehabilitation aids. Overall, this feature offers wide coverage of most issues encountered in the process of design, implementation and evaluation of deployable WSN systems. We trust that designers and developers of WSN systems will find much work of value, ranging from lessons learned, through solutions to known hurdles, to novel developments that enhance applications. Finally, we would like to thank all authors for their valuable contributions!

  9. Deployment of hydrogen supply chain for fuel market in 2050: Design and development of a decision support system for scenarios analysis; Deploiement de la chaine logistique de l'hydrogene pour le marche des carburants en 2050: Conception et developpement d'un outil d'optimisation pour l'analyse de scenarios

    Energy Technology Data Exchange (ETDEWEB)

    Patay, E.

    2008-07-15

    The deployment of a market for hydrogen energy is a new problem, considered by governments, industrialists and scientists to meet global targets of greenhouse gases emissions reduction and to ensure security in energy supply. In this context, the optimization problem of scheduling the deployment until 2050 of the hydrogen supply chain for fuel market throughout a country has been the object of our study. We get support of Air Liquide Company, his experience and experts in production and distribution of industrial hydrogen, to build an approach to the problem meeting the requirements of an industrial context. After defining and characterizing the optimization problem through a systemic analysis of the distribution infrastructure, we proposed a method suited to its resolution. Monte Carlo simulations enabled us to develop cost functions. Then we developed a heuristic algorithm for approximate optimization of these cost functions. Our approach has necessitated the definition of simulation rules, a design of experiment and a regression method, as well as a heuristic algorithm adapted to the structure of the problem. The specification, development and use of software tools have helped to validate the chosen methodology for the optimization of the uncertain problem of our study. The scenario of evolution has created a reference to validate the model and provide some analysis for early studies of deployment. (author)

  10. Intelligence-based systems engineering

    CERN Document Server

    Tolk, Andreas

    2011-01-01

    The International Council on Systems Engineering (INCOSE) defines Systems Engineering as an interdisciplinary approach and means to enable the realization of successful systems. Researchers are using intelligence-based techniques to support the practices of systems engineering in an innovative way. This research volume includes a selection of contributions by subject experts to design better systems.

  11. Fiscal 1998 survey report. Welfare equipment (Development of human friendly care support intelligent equipment / Development of home welfare equipment system); 1998 nendo chosa hokokusho. Fukushi kiki (human friendly kaigo shien chino kiki kaihatsu / zaitaku fukushi kiki system kaihatsu)

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-03-01

    Since disabled persons increase with a progress of an aging society, while a care power decreases with a decrease in birth rate, development and practical use of the welfare equipment contributing to self-support of aged and handicapped persons, reduction of doctors' or therapists' burdens, and as a result, reduction of medical care costs are desirable. Among them, R and D and practical use are expected of the advanced welfare equipment and system based on human engineering technology contributing to improvement of lives of aged and handicapped persons, and support of nurses and cares of disabled persons. In fiscal 1998, on both human friendly care support intelligent equipment and home welfare equipment system, this project clarified essential technical issues based on the future view, selected some themes to be newly developed in the future, and surveyed and evaluated the details of their R and D concretely. For the former, 'heart disease diagnosis and treatment total support system,' and for the latter, 'body function rehabilitation support system' were surveyed. (NEDO)

  12. Intelligent Metering for Urban Water: A Review

    Directory of Open Access Journals (Sweden)

    Rodney Stewart

    2013-07-01

    Full Text Available This paper reviews the drivers, development and global deployment of intelligent water metering in the urban context. Recognising that intelligent metering (or smart metering has the potential to revolutionise customer engagement and management of urban water by utilities, this paper provides a summary of the knowledge-base for researchers and industry practitioners to ensure that the technology fosters sustainable urban water management. To date, roll-outs of intelligent metering have been driven by the desire for increased data regarding time of use and end-use (such as use by shower, toilet, garden, etc. as well as by the ability of the technology to reduce labour costs for meter reading. Technology development in the water sector generally lags that seen in the electricity sector. In the coming decade, the deployment of intelligent water metering will transition from being predominantly “pilot or demonstration scale” with the occasional city-wide roll-out, to broader mainstream implementation. This means that issues which have hitherto received little focus must now be addressed, namely: the role of real-time data in customer engagement and demand management; data ownership, sharing and privacy; technical data management and infrastructure security, utility workforce skills; and costs and benefits of implementation.

  13. 基于HIS数据仓库智能挖掘的决策支持系统研究%Research on the Decision Supporting System of Intelligent Mining Based on the HIS Data Warehouse

    Institute of Scientific and Technical Information of China (English)

    袁静; 王新国; 刘长兴

    2014-01-01

    本文基于数据仓库和数据挖掘技术,结合我院实际情况和智能化管理需求进行决策支持系统的研究。通过建立功能明确、维度丰富、粒度细化、展现灵活的数据仓库,进行相关主题的联机分析(OLAP)和数据挖掘(DM)。该系统的应用能够充分利用数据仓库面向主题数据特点,很好地帮助医院进行辅助决策,实现医院的自动化质量监控和智能化临床决策管理。%Based on the data warehouse and data mining technology and combined with research on decision supporting system that reflected the actual situation of our hospitals and intelligent management requirements, a data warehouse with clear function, dimension, granularity distribution andrichfiexibilityisestablishedtoconducttheonlinetopicanalysis (OLAP,On-LineAnalytical Processing)anddatamining (DM,DataMining).Thesystemcanmakefulluseofthedata warehouse and data mining, and analyze search functions according to subjects, characters and information, which is very helpful for hospital decision making, realization of the automation of quality monitoring and intelligent hospital clinical decision making.

  14. Google Home: Experience, Support and Re-Experience of Social Home Activities

    NARCIS (Netherlands)

    Nijholt, Anton

    2008-01-01

    Ambient Intelligence research is about ubiquitous computing and about social and intelligent properties of computer-supported environments. These properties aim at providing inhabitants or visitors of ambient intelligence environments with support in their activities. Activities include interactions

  15. Intelligent products : A survey

    NARCIS (Netherlands)

    Meyer, G.G.; Främling, K.; Holmström, J.

    2009-01-01

    This paper presents an overview of the field of Intelligent Products. As Intelligent Products have many facets, this paper is mainly focused on the concept behind Intelligent Products, the technical foundations, and the achievable practical goals of Intelligent Products. A novel classification of In

  16. Newberry Seismic Deployment Fieldwork Report

    Energy Technology Data Exchange (ETDEWEB)

    Wang, J; Templeton, D C

    2012-03-21

    This report summarizes the seismic deployment of Lawrence Livermore National Laboratory (LLNL) Geotech GS-13 short-period seismometers at the Newberry Enhanced Geothermal System (EGS) Demonstration site located in Central Oregon. This Department of Energy (DOE) demonstration project is managed by AltaRock Energy Inc. AltaRock Energy had previously deployed Geospace GS-11D geophones at the Newberry EGS Demonstration site, however the quality of the seismic data was somewhat low. The purpose of the LLNL deployment was to install more sensitive sensors which would record higher quality seismic data for use in future seismic studies, such as ambient noise correlation, matched field processing earthquake detection studies, and general EGS microearthquake studies. For the LLNL deployment, seven three-component seismic stations were installed around the proposed AltaRock Energy stimulation well. The LLNL seismic sensors were connected to AltaRock Energy Gueralp CMG-DM24 digitizers, which are powered by AltaRock Energy solar panels and batteries. The deployment took four days in two phases. In phase I, the sites were identified, a cavity approximately 3 feet deep was dug and a flat concrete pad oriented to true North was made for each site. In phase II, we installed three single component GS-13 seismometers at each site, quality controlled the data to ensure that each station was recording data properly, and filled in each cavity with native soil.

  17. [Artificial intelligence methods for support of medial patient education before surgical interventions in the region of the neck-nose-ear].

    Science.gov (United States)

    Mösges, R; Kuth, G; Korves, B

    1992-03-01

    As a rule, curative operations require the patient's consent. Determined by the expansion of surgical possibilities, the kind and frequency of specific complications are subjected to constant changes. The physician is encouraged to explain therapeutic methods as well as the probability of complications within the patient's grasp. It has been investigated to what extent methods of artificial intelligence (AI) are suited for assisting the physician in this task. For this purpose, a comprehensive list of surgical complications as reported in research literature has been compiled. The list has been transferred into a hierarchical structure which can be depicted as a rule tree classified according to topographic aspects. In each otolaryngological operation, the reported complications can be classed with these rules. By employing an expert system (Fig. 1), the physician is capable of compiling an individualized document of agreement (Fig. 2) which serves as a basis for the explanatory talk with the patient.

  18. ECO-INTELLIGENT TOOLS – A NECESSITY FOR SUSTAINABLE BUSINESSES

    Directory of Open Access Journals (Sweden)

    S. Nate

    2014-04-01

    Full Text Available Many of the challenges associated with sustainable development can be traced in the way modern society produces and consumes. Production, distribution and supply of goods and services require material and energy consumption, having an impact on natural resources both quantitatively and qualitatively, generating waste, pollution and disrupting ecosystems. Ecobusiness intelligence is the capacity of people, processes and applications / tools to organize business information, to facilitate consistent access to them and analyse them in order to improve management decisions, for better performance management of the organizations that are increasingly pressed to synchronize their processes and services with a sustainable development agenda, through the development, testing and implementation of decision support software. By adopting sustainable practices, eco – intelligent companies can gain added value, increase market share and boost shareholder value. Moreover, the growing demand for "green" products has created new markets and the visionary entrepreneurs already reap the rewards of approaching sustainability. Large and small companies are learning that sustainable business practices not only help the environment but also can improve profitability by pursuing higher efficiency, fewer harmful side-effects, and better relationships with the community and more. Gaining competitive advantage is a core concern of the companies and the existence of systems of identification, extraction and analysis of available data in a company, but also from the external environment, to provide real support for business decisions, is an essential ingredient of success. This paper highlights the necessity of eco-intelligent tools that help determining the organization's strategies, identifying the perceptions and capabilities of the competitors, analyzing the effectiveness of current operations, deploying long-term prospects for environmental action and establishing

  19. Intelligent Buildings and pervasive computing

    DEFF Research Database (Denmark)

    Grønbæk, Kaj; Kyng, Morten; Krogh, Peter Gall

    2001-01-01

    Intelligent Buildings have been the subject of research and commercial interest for more than two decades. The different perspectives range from monitoring and controlling energy consumption over interactive rooms supporting work in offices and leisure in the home, to buildings providing...... information to by-passers in plazas and urban environments. This paper puts forward the hypothesis that the coming decade will witness a dramatic increase in both quality and quantity of intelligent buildings due to the emerging field of pervasive computing: the next generation computing environments where...

  20. Intelligent Routines

    CERN Document Server

    Anastassiou, George A

    Intelligent Routines II: Solving Linear Algebra and Differential Geometry with Sage” contains numerous of examples and problems as well as many unsolved problems. This book extensively applies the successful software Sage, which can be found free online http://www.sagemath.org/. Sage is a recent and popular software for mathematical computation, available freely and simple to use. This book is useful to all applied scientists in mathematics, statistics and engineering, as well for late undergraduate and graduate students of above subjects. It is the first such book in solving symbolically with Sage problems in Linear Algebra and Differential Geometry. Plenty of SAGE applications are given at each step of the exposition.

  1. Pathogen intelligence

    Science.gov (United States)

    Steinert, Michael

    2014-01-01

    Different species inhabit different sensory worlds and thus have evolved diverse means of processing information, learning and memory. In the escalated arms race with host defense, each pathogenic bacterium not only has evolved its individual cellular sensing and behavior, but also collective sensing, interbacterial communication, distributed information processing, joint decision making, dissociative behavior, and the phenotypic and genotypic heterogeneity necessary for epidemiologic success. Moreover, pathogenic populations take advantage of dormancy strategies and rapid evolutionary speed, which allow them to save co-generated intelligent traits in a collective genomic memory. This review discusses how these mechanisms add further levels of complexity to bacterial pathogenicity and transmission, and how mining for these mechanisms could help to develop new anti-infective strategies. PMID:24551600

  2. Intelligent Governmentality

    Directory of Open Access Journals (Sweden)

    Willem de Lint

    2008-10-01

    Full Text Available Recently, within liberal democracies, the post-Westphalian consolidation of security and intelligence has ushered in the normalization not only of security in ‘securitization’ but also of intelligence in what is proposed here as ‘intelligencification.’ In outlining the features of intelligencified governance, my aim is to interrogate the view that effects or traces, and productivity rather than negation is as persuasive as commonly thought by the constructivists. After all, counter-intelligence is both about purging and reconstructing the archive for undisclosed values. In practice, what is being normalized is the authorized and legalized use of release and retention protocols of politically actionable information. The intelligencification of governmentality affords a sovereignty shell-game or the instrumentalization of sovereign power by interests that are dependent on, yet often inimical to, the power of state, national, and popular sovereignty. On voit le politique et le social comme dépendant de contingences exclusives. Récemment, au sein des démocraties libérales, la consolidation de la sécurité et des services de renseignements de sécurité qui a suivi les traités de la Westphalie a donné lieu à la normalisation non seulement de la sécurité en «sécurisation» mais aussi des services de renseignements de sécurité en ce qui est proposé ici comme «intelligencification» [terme anglais créé par l’auteur, dérivé du mot anglais «intelligence» dans le sens de renseignements des écurité]. En particulier, ce que l’on normalise dans le but de contourner des contingences exclusives est l’utilisation autorisée et légalisée de protocoles de communication et de rétention d’information qui, politiquement, pourrait mener à des poursuites. En esquissant les traits de la gouvernance «intelligencifiée», mon but est d’interroger le point de vue que les effets ou les traces, et la productivité plutôt que la

  3. Relation of an ability measure of emotional intelligence to personality.

    Science.gov (United States)

    Caruso, David R; Mayer, John D; Salovey, Peter

    2002-10-01

    Is emotional intelligence simply a naive theory of personality, or is it a form of intelligence? If emotional intelligence is to be of value, it must measure something unique and distinct from standard personality traits. To explore this question, this study examined an ability test of emotional intelligence and its relationship to personality test variables to determine the extent to which these constructs overlap. A sample of 183 men and women took the Multifactor Emotional Intelligence Scale (Mayer, Caruso, & Salovey, 1999), an ability measure of emotional intelligence as well as measures of career interests, personality, and social behavior. Emotional intelligence was measured reliably and was relatively independent of traditionally defined personality traits, supporting the discriminant validity of the emotional intelligence construct.

  4. Intelligence: Real or artificial?

    OpenAIRE

    Schlinger, Henry D

    1992-01-01

    Throughout the history of the artificial intelligence movement, researchers have strived to create computers that could simulate general human intelligence. This paper argues that workers in artificial intelligence have failed to achieve this goal because they adopted the wrong model of human behavior and intelligence, namely a cognitive essentialist model with origins in the traditional philosophies of natural intelligence. An analysis of the word “intelligence” suggests that it originally r...

  5. Multiple Intelligences, the Mozart Effect, and Emotional Intelligence: A Critical Review

    Science.gov (United States)

    Waterhouse, Lynn

    2006-01-01

    This article reviews evidence for multiple intelligences theory, the Mozart effect theory, and emotional intelligence theory and argues that despite their wide currency in education these theories lack adequate empirical support and should not be the basis for educational practice. Each theory is compared to theory counterparts in cognitive…

  6. Multiple Intelligences, the Mozart Effect, and Emotional Intelligence: A Critical Review

    Science.gov (United States)

    Waterhouse, Lynn

    2006-01-01

    This article reviews evidence for multiple intelligences theory, the Mozart effect theory, and emotional intelligence theory and argues that despite their wide currency in education these theories lack adequate empirical support and should not be the basis for educational practice. Each theory is compared to theory counterparts in cognitive…

  7. OMV multiple deployments of lightsats

    Science.gov (United States)

    Smith, William L.; Walker, James D.

    1988-06-01

    The design and capabilities of the NASA Orbital Maneuvering Vehicle (OMV) are reviewed, and the potential value of the Shuttle-borne OMV for deploying lightweight satellites (lightsats) into different orbits is discussed and illustrated with extensive drawings and diagrams. Assuming 100-lb lightsats in extended GAS canisters, the OMV could separate from the Orbiter at 16 nmi and deploy six lightsats each at altitudes 430, 700, and 970 nmi before rejoining the Orbiter at 160 nmi. Also considered are configurations with 8 or 12 200-lb lightsats and the fittings for Titan-4 launch of OMV/lightsat packages.

  8. Department of Defense, Deployment Health Clinical Center

    Science.gov (United States)

    ... related to deployment health assessments, combat and operational stress programs, deployment-limiting health conditions and deployment-related exposures. Learn More In the News Experts Explore How Combat Roles May Affect Women’s Psychological Health Deployments can be 'significant stressor' ...

  9. Soft computing for business intelligence

    CERN Document Server

    Pérez, Rafael; Cobo, Angel; Marx, Jorge; Valdés, Ariel

    2014-01-01

    The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg. It contains twenty-seven papers allocated to three sections: Soft Computing, Business Intelligence and Knowledge Discovery, and Knowledge Management and Decision Making. Although the contents touch different domains they are similar in so far as they follow the BI principle “Observation and Analysis” while keeping a practical oriented theoretical eye on sound methodologies, like Fuzzy Logic, Compensatory Fuzzy Logic (CFL), Rough Sets and other softcomputing elements. The book tears down the traditional focus on business, and extends Business Intelligence techniques in an impressive way to a broad range of fields like medicine, environment, wind farming, social collaboration and interaction, car sharing and sustainability.

  10. 基于商业智能的区域卫生综合辅助决策支持系统建设与应用%Construction and Application of Regional Health Decision Support System Based on Business Intelligence

    Institute of Scientific and Technical Information of China (English)

    吴海燕; 许强; 王丽峰

    2015-01-01

    为提高卫生管理效率和决策水平,以区域卫生信息平台为基础,基于商业智能的思想创建区域卫生综合辅助决策支持系统,介绍该系统的技术方案、建设内容及在卫生管理中的应用示例。%In order to improve health management efficiency and decision-making level, regional health decision support system is constructed based on regional health information platform and business intelligence ideas.Technical plan, construction contents and ap-plication examples in health management are introduced in the paper.

  11. Intelligent Decision Technologies : Proceedings of the 4th International Conference on Intelligent Decision Technologies

    CERN Document Server

    Watanabe, Toyohide; Phillips-Wren, Gloria; Howlett, Robert; Jain, Lakhmi

    2012-01-01

    The Intelligent Decision Technologies (IDT) International Conference encourages an interchange of research on intelligent systems and intelligent technologies that enhance or improve decision making. The focus of IDT is interdisciplinary and includes research on all aspects of intelligent decision technologies, from fundamental development to real applications. IDT has the potential to expand their support of decision making in such areas as finance, accounting, marketing, healthcare, medical and diagnostic systems, military decisions, production and operation, networks, traffic management, crisis response, human-machine interfaces, financial and stock market monitoring and prediction, and robotics. Intelligent decision systems implement advances in intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, and genetic algorithms, among others.  Emerging areas of active research include virtual decision environments, social networking, 3D human-machine interfaces, cognitive interfaces,...

  12. Analysis of Topological Impact on Wireless Channel Performance on Intelligent Street Lighting System

    Directory of Open Access Journals (Sweden)

    L. Azpilicueta

    2014-04-01

    Full Text Available In this work, an analysis of the physical radio channel propagation for the deployment of a wireless sensor network for intelligent street lighting is presented based on an in house implemented 3D ray launching code. Simulation as well as measurement results from a deployed wireless sensor network for an intelligent street light control system confirm the topological and morphological dependence of the considered scenario. The results can be applied to the optimal radioplanning of the wireless systems prior to deployment phase, in order to achieve maximum system performance while minimizing power consumption.

  13. Human intelligence and brain networks.

    Science.gov (United States)

    Colom, Roberto; Karama, Sherif; Jung, Rex E; Haier, Richard J

    2010-01-01

    Intelligence can be defined as a general mental ability for reasoning, problem solving, and learning. Because of its general nature, intelligence integrates cognitive functions such as perception, attention, memory, language, or planning. On the basis of this definition, intelligence can be reliably measured by standardized tests with obtained scores predicting several broad social outcomes such as educational achievement, job performance, health, and longevity. A detailed understanding of the brain mechanisms underlying this general mental ability could provide significant individual and societal benefits. Structural and functional neuroimaging studies have generally supported a frontoparietal network relevant for intelligence. This same network has also been found to underlie cognitive functions related to perception, short-term memory storage, and language. The distributed nature of this network and its involvement in a wide range of cognitive functions fits well with the integrative nature of intelligence. A new key phase of research is beginning to investigate how functional networks relate to structural networks, with emphasis on how distributed brain areas communicate with each other.

  14. Design of Intelligent Decision Support System for Forest Harvesting Based on GIS%基于GIS的森林采伐智能决策支持系统设计

    Institute of Scientific and Technical Information of China (English)

    罗子淇; 潘志华; 刘陈林

    2016-01-01

    In order to develop intelligent decision support system based on GIS and to realize the function of collecting, logging, storing, quer-ying, analyzing and outputting data, the system integrates many discipline fields, including forest harvesting knowledge, geography information system(GIS), and intelligent decision support system(IDSS), etc.This system consists of five modules, including database system, knowledge base system, model base system, method base system and human-machine interface, which can be coordinated efficiently to meet customer re-quirements, so as to realize the visualization and digitization of forest harvesting decision, provide the best strategy for forest harvesting and im-prove the level of forest management.%将森林采伐知识、地理信息系统(GIS)、智能决策支持系统(IDSS)等集成在一起,设计开发基于GIS的森林采伐智能决策支持系统,实现数据采集、录入、存储、查询、分析、输出等功能。系统主要包括数据库系统、知识库系统、模型库系统、方法库系统以及人机交互界面等5个模块。根据用户需求,通过各个模块协同作用,实现森林采伐决策的可视化和数字化,为森林采伐规划设计提供决策支持,提高森林经营管理水平。

  15. Study of a flowerlike deployable structure:

    OpenAIRE

    Luo, Ani; Liu, Heping; Li, Cheng; Wang, Yongfan

    2013-01-01

    A deployable structure is a kind of mechanism that can be folded and deployed automatically. It is able to form required shape or curved surface after deployment. In this paper, a flowerlike deployable structure, which forms a circle plane after deployment, was studied. First, the required circle plane was decomposed to determine the shapes of the members. Then the relation expressions were set up, which include the structural dimensions of the members and how to calculate the volume of the m...

  16. The coevolution of innovation and technical intelligence in primates.

    Science.gov (United States)

    Navarrete, Ana F; Reader, Simon M; Street, Sally E; Whalen, Andrew; Laland, Kevin N

    2016-03-19

    In birds and primates, the frequency of behavioural innovation has been shown to covary with absolute and relative brain size, leading to the suggestion that large brains allow animals to innovate, and/or that selection for innovativeness, together with social learning, may have driven brain enlargement. We examined the relationship between primate brain size and both technical (i.e. tool using) and non-technical innovation, deploying a combination of phylogenetically informed regression and exploratory causal graph analyses. Regression analyses revealed that absolute and relative brain size correlated positively with technical innovation, and exhibited consistently weaker, but still positive, relationships with non-technical innovation. These findings mirror similar results in birds. Our exploratory causal graph analyses suggested that technical innovation shares strong direct relationships with brain size, body size, social learning rate and social group size, whereas non-technical innovation did not exhibit a direct relationship with brain size. Nonetheless, non-technical innovation was linked to brain size indirectly via diet and life-history variables. Our findings support 'technical intelligence' hypotheses in linking technical innovation to encephalization in the restricted set of primate lineages where technical innovation has been reported. Our findings also provide support for a broad co-evolving complex of brain, behaviour, life-history, social and dietary variables, providing secondary support for social and ecological intelligence hypotheses. The ability to gain access to difficult-to-extract, but potentially nutrient-rich, resources through tool use may have conferred on some primates adaptive advantages, leading to selection for brain circuitry that underlies technical proficiency.

  17. Space deployable truss structure design

    Science.gov (United States)

    Coyner, J. V., Jr.; Tobey, W. H.

    1981-01-01

    The development status of the deployable box truss structure is summarized. Potential applications for this structural system are described. Structural and component design requirements derived from these applications are discussed. Components of prototype 4.6 m cubes which incorporate graphite/epoxy structural members, fittings, and mechanisms are described. The benefits of the component designs and their respective manufacturing processes are presented.

  18. A Rapidly Deployable Bridge System

    Science.gov (United States)

    2013-01-15

    A Rapidly Deployable Bridge System Gareth R. Thomas1 and Bernard J. Sia2 1ATA Engineering, 11995 El Camino Real, San Diego, CA 92130; PH (858) 480...PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) ATA Engineering,11995 El Camino Real,San Diego,CA,92130 8. PERFORMING ORGANIZATION REPORT NUMBER

  19. OMV Deployed From Space Station

    Science.gov (United States)

    1986-01-01

    In this 1986 artist's concept, the Orbital Maneuvering Vehicle (OMV), at right, prepares to reboost the Hubble Space Telescope after being deployed from an early Space Station configuration (left). As envisioned by Marshall Space Flight Center plarners, the OMV would be a remotely-controlled free-flying space tug which would place, rendezvous, dock, and retrieve orbital payloads.

  20. NA22 Model Cities Project - LL244T An Intelligent Transportation System-Based Radiation Alert and Detection System

    Energy Technology Data Exchange (ETDEWEB)

    Peglow, S

    2004-02-24

    The purpose of this project was twofold: first, provide an understanding of the technical foundation and planning required for deployment of Intelligent Transportation System (ITS)-based system architectures for the protection of New York City from a terrorist attack using a vehicle-deployed nuclear device; second, work with stakeholders to develop mutual understanding of the technologies and tactics required for threat detection/identification and establish guidelines for designing operational systems and procedures. During the course of this project we interviewed and coordinated analysis with people from the New Jersey State Attorney General's office, the New Jersey State Police, the Port Authority of New York/New Jersey, the Counterterrorism Division of the New York City Police Department, the New Jersey Transit Authority, the State of New Jersey Department of Transportation, TRANSCOM and a number of contractors involved with state and federal intelligent transportation development and implementation. The basic system architecture is shown in the figure below. In an actual system deployment, radiation sensors would be co-located with existing ITS elements and the data will be sent to the Traffic Operations Center. A key element of successful system operation is the integration of vehicle data, such as license plate, EZ pass ID, vehicle type/color and radiation signature. A threat data base can also be implemented and utilized in cases where there is a suspect vehicle identified from other intelligence sources or a mobile detector system. Another key aspect of an operational architecture is the procedures used to verify the threat and plan interdiction. This was a major focus of our work and discussed later in detail. In support of the operational analysis, we developed a detailed traffic simulation model that is described extensively in the body of the report.

  1. 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

  2. Emotional Intelligence Meets Traditional Standards for an Intelligence.

    Science.gov (United States)

    Mayer, John D.; Caruso, David R.; Salovey, Peter

    1999-01-01

    Results of 2 studies involving 503 adults and 229 adolescents show that emotional intelligence, as measured by the Multifactor Emotional Intelligence Scale, a new ability test of emotional intelligence, meets 3 classical criteria of a standard intelligence. (SLD)

  3. Employees′ emotional intelligence and subjective well-being:The Mediating Role of Capitalization Support and Emotional Labor%员工情绪智力与主观幸福感:获益支持与情绪劳动策略的中介作用

    Institute of Scientific and Technical Information of China (English)

    张岗英; 董倩

    2016-01-01

    The questionnaires of emotional intelligence, perceived responses to capitalization attempt, emotional labor and subjective well-being were administered to 400 employees who come from service industry. We aimed to explore the mediating effects of capitalization support and emotional labor on the relationship between emotional intelligence and subjective well-being. Following results were found: 1) Staff′s subjective well-being, emotional intelligence in service industry were in medium level. 2) Emotional intelligence can predict subjective well being, capitalization supports and emotional labor; Emotional intelligence, capitalization supports and emotional labor can predict part of subjective well-being. 3) Capitalization supports and emotional labor are mediator variable between emotional intelligence and subjective well-being.%运用情绪智力问卷、主观幸福感问卷、获益支持问卷以及情绪劳动策略问卷对400名服务行业员工进行施测,建立结构方程模型以探讨获益支持及情绪劳动策略在情绪智力对主观幸福感影响中的中介作用。研究发现:(1)服务行业员工情绪智力处于中等水平,主观幸福感处于中等偏上水平;(2)员工情绪智力,获益支持、情绪劳动策略及主观幸福感之间两两相关;(3)获益支持与情绪劳动策略在员工情绪智力与主观幸福感之间起中介作用。

  4. SMUD Community Renewable Energy Deployment Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Sison-Lebrilla, Elaine [Sacramento Municipal Utility District, Sacramento, CA (United States); Tiangco, Valentino [Sacramento Municipal Utility District, Sacramento, CA (United States); Lemes, Marco [Sacramento Municipal Utility District, Sacramento, CA (United States); Ave, Kathleen [Sacramento Municipal Utility District, Sacramento, CA (United States)

    2015-06-08

    This report summarizes the completion of four renewable energy installations supported by California Energy Commission (CEC) grant number CEC Grant PIR-11-005, the US Department of Energy (DOE) Assistance Agreement, DE-EE0003070, and the Sacramento Municipal Utility District (SMUD) Community Renewable Energy Deployment (CRED) program. The funding from the DOE, combined with funding from the CEC, supported the construction of a solar power system, biogas generation from waste systems, and anaerobic digestion systems at dairy facilities, all for electricity generation and delivery to SMUD’s distribution system. The deployment of CRED projects shows that solar projects and anaerobic digesters can be successfully implemented under favorable economic conditions and business models and through collaborative partnerships. This work helps other communities learn how to assess, overcome barriers, utilize, and benefit from renewable resources for electricity generation in their region. In addition to reducing GHG emissions, the projects also demonstrate that solar projects and anaerobic digesters can be readily implemented through collaborative partnerships. This work helps other communities learn how to assess, overcome barriers, utilize, and benefit from renewable resources for electricity generation in their region.

  5. Business Intelligence Infrastructure for Academic Libraries

    Directory of Open Access Journals (Sweden)

    Joe Zucca

    2013-06-01

    Full Text Available Objective – To describe the rationale for and development of MetriDoc, an information technology infrastructure that facilitates the collection, transport, and use of library activity data.Methods – With the help of the Institute for Museum and Library Services, the University of Pennsylvania Libraries have been working on creating a decision support system for library activity data. MetriDoc is a means of “lighting up” an array of data sources to build a comprehensive repository of quantitative information about services and user behavior. A data source can be a database, text file, Extensible Markup Language (XML, or any binary object that contains data and has business value. MetriDoc provides simple tools to extract useful information from various data sources; transform, resolve, and consolidate that data; and finally store them in a repository.Results – The Penn Libraries completed five reference projects to prove basic concepts of the MetriDoc framework and make available a set of applications that other institutions could test in a deployment of the MetriDoc core. These reference projects are written as configurable plugins to the core framework and can be used to parse and store EZ-Proxy log data, COUNTER data, interlibrary loan transactional data from ILLIAD, fund expenditure data from the Voyager integrated library system, and transactional data from the Relais platform, which supports the BorrowDirect and EZBorrow resource sharing consortiums. The MetriDoc framework is currently undergoing test implementations at the University of Chicago and North Carolina State University, and the Kuali-OLE project is actively considering it as the basis of an analytics module.Conclusion – If libraries decide that a business intelligence infrastructure is strategically important, deep collaboration will be essential to progress, given the costs and complexity of the challenge.

  6. Security Support Platform for Intelligent Decision System of Real Estate%房地产智能决策系统安全支撑平台

    Institute of Scientific and Technical Information of China (English)

    郑卜之; 段斌

    2012-01-01

    In this paper, a scheme of message signature and encryption based on Simple Object Access Protocol (SOAP) is designed for the intelligent decision-making system of real estate to solve communication security issues when interacting data with other heterogeneous systems. Referring to the national recommendations upon the information security area in the e-government implementing process and considering both efficiency and security of communication procedures between two endpoints, we screened and integrated various security methods, then implemented a security platform with C# and WSE3.0. The experiment shows its good safety, reliability, flexibility, manageability, and scalability.%用简单对象访问协议(SOAP)消息签名加密的方案来解决房地产智能决策系统在跟其他异构系统数据交互时的通信安全的问题.参照国家对电子政务实施过程中信息安全的建议,综合考虑效率和安全性,通过对各种不同安全方案进行筛选和整合.并在C#平台和WSE3.0开发环境下,实现安全支撑平台具有很好的安全性、可靠性、灵活性、可管理性和可扩充性.

  7. FUNCTIONS OF INTELLIGENT SERVICE OF MANAGEMENT DECISION SUPPORT IN VERTICAL INTEGRATED CORPORATION Функции интеллектуального обеспечения принятия управленческих решений в веритикально-интегрированной корпорации

    Directory of Open Access Journals (Sweden)

    Yermolenko V. V.

    2011-09-01

    Full Text Available Special characteristics of new management in economics of knowledge are analyzed in this article. Basic types of connections between needs and potential of intelligent service of management decision support are picked out: planned, market, social-communicated. Main functions of intelligent service of decision support are picked out and based. There are: intelligent service of effective and stable reproducing of kernel of capitals; intelligent service of power vertical in internal environment; intelligent service of corporate competence in external environment; intelligent service of social communications

  8. OpenFlow Deployment and Concept Analysis

    Directory of Open Access Journals (Sweden)

    Tomas Hegr

    2013-01-01

    Full Text Available Terms such as SDN and OpenFlow (OF are often used in the research and development of data networks. This paper deals with the analysis of the current state of OpenFlow protocol deployment options as it is the only real representative protocol that enables the implementation of Software Defined Networking outside an academic world. There is introduced an insight into the current state of the OpenFlow specification development at various levels is introduced. The possible limitations associated with this concept in conjunction with the latest version (1.3 of the specification published by ONF are also presented. In the conclusion there presented a demonstrative security application addressing the lack of IPv6 support in real network devices since most of today's switches and controllers support only OF v1.0.

  9. 基于辅助决策支持系统的凿井设备选型与布置系统的设计与应用%DESIGNING SELECTION AND DEPLOYMENT SYSTEM OF DRILLING EQUIPMENT AND ITS APPLICATION BASED ON ASSISTED DECISION SUPPORT SYSTEM

    Institute of Scientific and Technical Information of China (English)

    王帮俊; 郝宪杰; 张宏捷; 魏连江

    2011-01-01

    It is a complex task for selecting and deploying the drilling equipment in construction of deep shaft drilling. Many factors should be taken into account when designing, and the calculation workload is huge as well. Therefore, it has a great theoretical and practical value to devise a design system for the selection and deployment of drilling project equipments. This paper, based on the idea of decision support system (DSS), especially aims at the theoretical design and practical application research of the selection and deployment system of drilling equipments of deep wells over 1 kilometre. The system consists of three parts, the dialogue subsystem, the data subsystem and the model subsystem. Each part of the system is controlled through the design of multi-menu, the human-computer dialogue is also realised, meanwhile the plug-in style management is used, and the dynamic design is employed as far as possible in order to improve the system flexibility. The system provides a new service carrier for the selection and deployment of drilling equipment by the implementation of drilling equipment selection, deployment and optimisation and achieving the functions such as automatic generation of the computation mission statement, planar and sectional drawings of equipment deployment, etc. At the end of the paper, the application notes of this system is given in conjunction with the selection and deployment issue of drilling equipments of a deep shaft over 1 kilometre.%深立井施工中凿井设备的选型与布置是一项复杂的工作,设计时需要考虑的因素多,且计算量大.因此设计一套凿井工程设备选型与布置设计系统,具有较大的理论与实用价值.基于决策支持系统思想,对千米以上的深并凿井设备的选型与布置系统的理论设计与实际的应用研究.系统由对话子系统、数据子系统和模型子系统三部分组成,通过设计多层菜单方法控制各个部分,实现人机对话,同时采用

  10. Educational Programs for Intelligence Professionals.

    Science.gov (United States)

    Miller, Jerry P.

    1994-01-01

    Discusses the need for education programs for competitive intelligence professionals. Highlights include definitions of intelligence functions, focusing on business intelligence; information utilization by decision makers; information sources; competencies for intelligence professionals; and the development of formal education programs. (38…

  11. Regulatory Assistance, Stakeholder Outreach, and Coastal and Marine Spatial Planning Activities In Support Marine and Hydrokinetic Energy Deployment: Task 2.1.7 Permitting and Planning Fiscal Year 2012 Year-End Report

    Energy Technology Data Exchange (ETDEWEB)

    Geerlofs, Simon H.; Hanna, Luke A.; Judd, Chaeli R.; Blake, Kara M.

    2012-09-01

    This fiscal year 2012 year-end report summarizes activities carried out under DOE Water Power task 2.1.7, Permitting and Planning. Activities under Task 2.1.7 address the concerns of a wide range of stakeholders with an interest in the development of the MHK industry, including regulatory and resource management agencies, tribes, NGOs, and industry. Objectives for 2.1.7 are the following: • To work with stakeholders to streamline the MHK regulatory permitting process. • To work with stakeholders to gather information on needs and priorities for environmental assessment of MHK development. • To communicate research findings and directions to the MHK industry and stakeholders. • To engage in spatial planning processes in order to further the development of the MHK industry. These objectives are met through three subtasks, each of which are described in this report: • 2.1.7.1—Regulatory Assistance • 2.1.7.2—Stakeholder Outreach • 2.1.7.3—Coastal and Marine Spatial Planning As the MHK industry works with the regulatory community and stakeholders to plan, site, permit and license MHK technologies they have an interest in a predictable, efficient, and transparent process. Stakeholders and regulators have an interest in processes that result in sustainable use of ocean space with minimal effects to existing ocean users. Both stakeholders and regulators have an interest in avoiding legal challenges by meeting the intent of federal, state, and local laws that govern siting and operation of MHK technologies. The intention of work under 2.1.7 is to understand these varied interests, explore mechanisms to reduce conflict, identify efficiencies, and ultimately identify pathways to reduce the regulatory costs, time, and potential environmental impacts associated with developing, siting, permitting, and deploying MHK systems.

  12. Network-Capable Application Process and Wireless Intelligent Sensors for ISHM

    Science.gov (United States)

    Figueroa, Fernando; Morris, Jon; Turowski, Mark; Wang, Ray

    2011-01-01

    Intelligent sensor technology and systems are increasingly becoming attractive means to serve as frameworks for intelligent rocket test facilities with embedded intelligent sensor elements, distributed data acquisition elements, and onboard data acquisition elements. Networked intelligent processors enable users and systems integrators to automatically configure their measurement automation systems for analog sensors. NASA and leading sensor vendors are working together to apply the IEEE 1451 standard for adding plug-and-play capabilities for wireless analog transducers through the use of a Transducer Electronic Data Sheet (TEDS) in order to simplify sensor setup, use, and maintenance, to automatically obtain calibration data, and to eliminate manual data entry and error. A TEDS contains the critical information needed by an instrument or measurement system to identify, characterize, interface, and properly use the signal from an analog sensor. A TEDS is deployed for a sensor in one of two ways. First, the TEDS can reside in embedded, nonvolatile memory (typically flash memory) within the intelligent processor. Second, a virtual TEDS can exist as a separate file, downloadable from the Internet. This concept of virtual TEDS extends the benefits of the standardized TEDS to legacy sensors and applications where the embedded memory is not available. An HTML-based user interface provides a visual tool to interface with those distributed sensors that a TEDS is associated with, to automate the sensor management process. Implementing and deploying the IEEE 1451.1-based Network-Capable Application Process (NCAP) can achieve support for intelligent process in Integrated Systems Health Management (ISHM) for the purpose of monitoring, detection of anomalies, diagnosis of causes of anomalies, prediction of future anomalies, mitigation to maintain operability, and integrated awareness of system health by the operator. It can also support local data collection and storage. This

  13. The Predictive Aspect of Business Process Intelligence

    DEFF Research Database (Denmark)

    Pérez, Moisés Lima; Møller, Charles

    2007-01-01

    This paper presents the arguments for a research proposal on predicting business events in a Business Process Intelligence (BPI) context. The paper argues that BPI holds a potential for leveraging enterprise benefits by supporting real-time processes. However, based on the experiences from past...... business intelligence projects the paper argues that it is necessary to establish a new methodology to mine and extract the intelligence on the business level which is different from that, which will improve a business process in an enterprise. In conclusion the paper proposes a new research project aimed...

  14. Intelligent spaces the application of pervasive ICT

    CERN Document Server

    Steventon, Alan

    2010-01-01

    This book sets out a vision of 'intelligent spaces' and describes the progress that has been made towards realisation. The context for Intelligent Spaces (or iSpaces) is the world where ICT (Information and Communication Technology) and sensor systems disappear as they become embedded into physical objects and the spaces in which we live, work and play. The ultimate vision is that this embedded technology provides us with intelligent and contextually relevant support, augmenting our lives and experience of the physical world in a benign and non-intrusive manner. The ultimate vision is challeng

  15. Organizational Emotional Intelligence and Top Selling

    Directory of Open Access Journals (Sweden)

    Gabriele Giorgi

    2014-11-01

    Full Text Available The purpose of this study is to explore emotional intelligence in association with effective sales performance. The participants involved in this study were sellers in a home furniture company and completed a new tool measuring emotional intelligence at the beginning of their employment with the company. After four months, their volume of sales was calculated and compared with other results. Briefly, evidence from this study indicates that emotional intelligence skills are relevant in association with job performance, particularly relationship management and self-management. The final results support the main hypothesis. Subsequent implications for sales organizations and researchers are discussed.

  16. A fuzzy TOPSIS model to evaluate the Business Intelligence competencies of Port Community Systems

    Directory of Open Access Journals (Sweden)

    Ghazanfari Mehdi

    2014-04-01

    Full Text Available Evaluation of the Business Intelligence (BI competencies of port community systems before they are bought and deployed is a vital importance for establishment of a decision-support environment for managers. This study proposes a new model which provides a simple approach to the assessment of the BI competencies of port community systems in organization. This approach helps decision-makers to select an enterprise system with appropriate intelligence requirements to support the managers’ decision-making tasks. Thirtyfour criteria for BI specifications are determined from a thorough review of the literature. The proposed model uses the fuzzy TOPSIS technique, which employs fuzzy weights of the criteria and fuzzy judgments of port community systems to compute the evaluation scores and rankings. The application of the model is realized in the evaluation, ranking and selecting of the needed port community systems in a port and maritime organization, in order to validate the proposed model with a real application. With utilizing the proposed model organizations can assess, select, and purchase port community systems which will provide a better decision-support environment for their business systems.

  17. Direct measurement of single and multiple passband intelligibilities: Comparison with estimates based upon the Speech Intelligibility Index

    Science.gov (United States)

    Warren, Richard M.; Bashford, James A.; Lenz, Peter W.

    2001-05-01

    The intelligibility of individual bands spanning the speech spectrum is of interest for theoretical and practical reasons, and has been the subject of considerable experimental investigation. Direct measurement of passband intelligibility can be confounded with contributions from filter slopes, but by employing sufficiently high orders of FIR filtering, the present study has removed all slope contributions and measured directly intelligibilities of 1-octave and 1/3-octave passbands. Stimuli employed were based upon the same commercial recording of monosyllabic words and the same frequency bands used for the Speech Intelligibility Index (SII) [American National Standards Institute, S3.5, 1997]. SII employs an indirect procedure for estimating intelligibility: lists of band ``importance'' values are derived from intelligibility scores for high-pass and low-pass speech having incrementally varied cutoff frequencies. These importance values are correlated with intelligibility, and were transformed into intelligibility estimates using the published transfer function. Directly measured intelligibilities differ for some, but not all, SII-based intelligibility estimates for bands heard singly and in combination. Direct determination of intelligibilities of individual and multiple passbands is suggested as a simple and accurate alternative to the methods based upon SII and other indirect procedures for estimating the intelligibility of frequency-limited speech. [Work supported by NIH.

  18. Direct measurement of single and multiple passband intelligibilities: Comparison with estimates based upon the Speech Intelligibility Index

    Science.gov (United States)

    Warren, Richard M.; Bashford, James A.; Lenz, Peter W.

    2004-05-01

    The intelligibility of individual bands spanning the speech spectrum is of interest for theoretical and practical reasons, and has been the subject of considerable experimental investigation. Direct measurement of passband intelligibility can be confounded with contributions from filter slopes, but by employing sufficiently high orders of FIR filtering, the present study has removed all slope contributions and measured directly intelligibilities of 1-octave and 1/3-octave passbands. Stimuli employed were based upon the same commercial recording of monosyllabic words and the same frequency bands used for the Speech Intelligibility Index (SII) [American National Standards Institute, S3.5, 1997]. SII employs an indirect procedure for estimating intelligibility: lists of band ``importance'' values are derived from intelligibility scores for high-pass and low-pass speech having incrementally varied cutoff frequencies. These importance values are correlated with intelligibility, and were transformed into intelligibility estimates using the published transfer function. Directly measured intelligibilities differ for some, but not all, SII-based intelligibility estimates for bands heard singly and in combination. Direct determination of intelligibilities of individual and multiple passbands is suggested as a simple and accurate alternative to the methods based upon SII and other indirect procedures for estimating the intelligibility of frequency-limited speech. [Work supported by NIH.

  19. Applying Computational Intelligence

    CERN Document Server

    Kordon, Arthur

    2010-01-01

    Offers guidelines on creating value from the application of computational intelligence methods. This work introduces a methodology for effective real-world application of computational intelligence while minimizing development cost, and outlines the critical, underestimated technology marketing efforts required

  20. Intelligence Operations Manual

    Directory of Open Access Journals (Sweden)

    Karla Andrade

    2016-02-01

    Full Text Available This Manual was an important document for the development of intelligence units in El Salvador´s police. It is a guiding document for intelligence operations where relevant aspects on overall information management are detailed.