WorldWideScience

Sample records for information intelligence challenges

  1. Technology Watch and Competitive Intelligence: A New Challenge in Education for Information.

    Science.gov (United States)

    Dou, Henri; And Others

    1993-01-01

    Discusses the need for education of information professionals in France to change because of changing needs for scientific, technological, and economic information. The functions of technology watch and competitive intelligence based on an organization's critical success factor are shown to be important. (13 references) (EAM)

  2. 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.

  3. Intelligent medical information filtering.

    Science.gov (United States)

    Quintana, Y

    1998-01-01

    This paper describes an intelligent information filtering system to assist users to be notified of updates to new and relevant medical information. Among the major problems users face is the large volume of medical information that is generated each day, and the need to filter and retrieve relevant information. The Internet has dramatically increased the amount of electronically accessible medical information and reduced the cost and time needed to publish. The opportunity of the Internet for the medical profession and consumers is to have more information to make decisions and this could potentially lead to better medical decisions and outcomes. However, without the assistance from professional medical librarians, retrieving new and relevant information from databases and the Internet remains a challenge. Many physicians do not have access to the services of a medical librarian. Most physicians indicate on surveys that they do not prefer to retrieve the literature themselves, or visit libraries because of the lack of recent materials, poor organisation and indexing of materials, lack of appropriate and available material, and lack of time. The information filtering system described in this paper records the online web browsing behaviour of each user and creates a user profile of the index terms found on the web pages visited by the user. A relevance-ranking algorithm then matches the user profiles to the index terms of new health care web pages that are added each day. The system creates customised summaries of new information for each user. A user can then connect to the web site to read the new information. Relevance feedback buttons on each page ask the user to rate the usefulness of the page to their immediate information needs. Errors in relevance ranking are reduced in this system by having both the user profile and medical information represented in the same representation language using a controlled vocabulary. This system also updates the user profiles

  4. New challenges in computational collective intelligence

    Energy Technology Data Exchange (ETDEWEB)

    Nguyen, Ngoc Thanh; Katarzyniak, Radoslaw Piotr [Wroclaw Univ. of Technology (Poland). Inst. of Informatics; Janiak, Adam (eds.) [Wroclaw Univ. of Technology (Poland). Inst. of Computer Engineering, Control and Robotics

    2009-07-01

    The book consists of 29 chapters which have been selected and invited from the submissions to the 1{sup st} International Conference on Collective Intelligence - Semantic Web, Social Networks and Multiagent Systems (ICCCI 2009). All chapters in the book discuss various examples of applications of computational collective intelligence and related technologies to such fields as semantic web, information systems ontologies, social networks, agent and multiagent systems. The editors hope that the book can be useful for graduate and Ph.D. students in Computer Science, in particular participants to courses on Soft Computing, Multi-Agent Systems and Robotics. This book can also be useful for researchers working on the concept of computational collective intelligence in artificial populations. It is the hope of the editors that readers of this volume can find many inspiring ideas and use them to create new cases intelligent collectives. Many such challenges are suggested by particular approaches and models presented in particular chapters of this book. (orig.)

  5. Challenges for Research on Intelligence

    Directory of Open Access Journals (Sweden)

    Earl Hunt

    2013-10-01

    Full Text Available After 100 years of research, the definition of the field is still inadequate. The biggest challenge we see is moving away from a de-factor definition of intelligence in terms of test scores, but at the same time making clear what the boundaries of the field are. We then present four challenges for the field, two within a biological and two within a social context. These revolve around the issues of the malleability of intelligence and its display in everyday life, outside of a formal testing context. We conclude that developments in cognitive neuroscience and increases in the feasibility of monitoring behavior outside of the context of a testing session offer considerable hope for expansion of our both the biological and social aspects of individual differences in cognition.

  6. Progress and Challenge of Artificial Intelligence

    Institute of Scientific and Technical Information of China (English)

    Zhong-Zhi Shi; Nan-Ning Zheng

    2006-01-01

    Artificial Intelligence (AI) is generally considered to be a subfield of computer science, that is concerned to attempt simulation, extension and expansion of human intelligence. Artificial intelligence has enjoyed tremendous success over the last fifty years. In this paper we only focus on visual perception, granular computing, agent computing, semantic grid. Human-level intelligence is the long-term goal of artificial intelligence. We should do joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. A new cross discipline intelligence science is undergoing a rapid development. Future challenges are given in final section.

  7. Report : business process intelligence challenge 2013

    NARCIS (Netherlands)

    Dongen, van B.F.; Weber, B.; Ferreira, D.R.; De Weerdt, J.; Lohmann, N.; Song, M.; Wohed, P.

    2014-01-01

    For the third time, the Business Process Intelligence workshop hosted the Business Process Intelligence Challenge. The goal of this challenge is twofold. On the one hand, the challenge allows researchers and practitioners in the field to show their analytical capabilities to a broader audience. On

  8. IC design challenges for ambient intelligence

    NARCIS (Netherlands)

    Aarts, E.H.L.; Roovers, R.L.J.

    2003-01-01

    The vision of ambient intelligence opens a world of unprecedented experiences: the interaction of people with electronic devices is changed as contextual awareness, natural interfaces and ubiquitous availability of information are realized. We analyze the consequences of the ambient intelligence

  9. Intelligent Information Retrieval: An Introduction.

    Science.gov (United States)

    Gauch, Susan

    1992-01-01

    Discusses the application of artificial intelligence to online information retrieval systems and describes several systems: (1) CANSEARCH, from MEDLINE; (2) Intelligent Interface for Information Retrieval (I3R); (3) Gausch's Query Reformulation; (4) Environmental Pollution Expert (EP-X); (5) PLEXUS (gardening); and (6) SCISOR (corporate…

  10. The Cyber Intelligence Challenge of Asyngnotic Networks

    Directory of Open Access Journals (Sweden)

    Edward M. Roche

    2015-09-01

    Full Text Available The intelligence community is facing a new type of organization, one enabled by the world’s information and communications infrastructure. These asyngnotic networks operate without leadership and are self-organizing in nature. They pose a threat to national security because they are difficult to detect in time for intelligence to provide adequate warning. Social network analysis and link analysis are important tools but can be supplemented by application of neuroscience principles to understand the forces that drive asyngnotic self-organization and triggering of terrorist events. Applying Living Systems Theory (LST to a terrorist attack provides a useful framework to identify hidden asyngnotic networks. There is some antecedent work in propaganda analysis that may help uncover hidden asyngnotic networks, but computerized SIGINT methods face a number of challenges.

  11. Intelligent Information Systems Institute

    National Research Council Canada - National Science Library

    Gomes, Carla

    2004-01-01

    ...) at Cornell during the first three years of operation. IISI's mandate is threefold: To perform and stimulate research in computational and data-intensive methods for intelligent decision making systems...

  12. 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…

  13. Five Challenges for Intelligent Cinematography and Editing

    OpenAIRE

    Ronfard , Rémi

    2017-01-01

    International audience; In this position paper, we propose five challenges for advancing the state of the art in intelligent cinematography and editing by taking advantage of the huge quantity of cinematographic data (movies) and metadata (movie scripts) available in digital formats. This suggests a data-driven approach to intelligent cinematography and editing, with at least five scientific bottlenecks that need to be carefully analyzed and resolved.we briefly describe them and suggest some ...

  14. Competitive Intelligence and the Information Center.

    Science.gov (United States)

    Greene, H. Frances

    1988-01-01

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

  15. Toward intelligent information sysytem

    Science.gov (United States)

    Onodera, Natsuo

    "Hypertext" means a concept of a novel computer-assisted tool for storage and retrieval of text information based on human association. Structure of knowledge in our idea processing is generally complicated and networked, but traditional paper documents merely express it in essentially linear and sequential forms. However, recent advances in work-station technology have allowed us to process easily electronic documents containing non-linear structure such as references or hierarchies. This paper describes concept, history and basic organization of hypertext, and shows the outline and features of existing main hypertext systems. Particularly, use of the hypertext database is illustrated by an example of Intermedia developed by Brown University.

  16. The Intelligent Technologies of Electronic Information System

    Science.gov (United States)

    Li, Xianyu

    2017-08-01

    Based upon the synopsis of system intelligence and information services, this paper puts forward the attributes and the logic structure of information service, sets forth intelligent technology framework of electronic information system, and presents a series of measures, such as optimizing business information flow, advancing data decision capability, improving information fusion precision, strengthening deep learning application and enhancing prognostic and health management, and demonstrates system operation effectiveness. This will benefit the enhancement of system intelligence.

  17. Artificial Intelligence and Information Management

    Science.gov (United States)

    Fukumura, Teruo

    After reviewing the recent popularization of the information transmission and processing technologies, which are supported by the progress of electronics, the authors describe that by the introduction of the opto-electronics into the information technology, the possibility of applying the artificial intelligence (AI) technique to the mechanization of the information management has emerged. It is pointed out that althuogh AI deals with problems in the mental world, its basic methodology relies upon the verification by evidence, so the experiment on computers become indispensable for the study of AI. The authors also describe that as computers operate by the program, the basic intelligence which is concerned in AI is that expressed by languages. This results in the fact that the main tool of AI is the logical proof and it involves an intrinsic limitation. To answer a question “Why do you employ AI in your problem solving”, one must have ill-structured problems and intend to conduct deep studies on the thinking and the inference, and the memory and the knowledge-representation. Finally the authors discuss the application of AI technique to the information management. The possibility of the expert-system, processing of the query, and the necessity of document knowledge-base are stated.

  18. INFORMATION ASSURANCE - INTELLIGENCE - INFORMATION SUPERIORITY RELATIONSHIP WITHIN NATO OPERATIONS

    Directory of Open Access Journals (Sweden)

    Gheorghe BOARU, Ioan-Mihai ILIEŞ

    2011-01-01

    Full Text Available There is a tight relationship between information assurance, the intelligence cycle and information superiority within NATO operations. The intelligence cycle has a discrete architecture and provides on-time and relevant intelligence products to the joint force commanders and to other authorized users in a specifi c joint area of operations. The intelligence cycle must follow the evolution of the operation. A permanent intelligence estimate will be performed during the military decision making process and operations execution. Information superiority is one of the most powerful intelligence cycle achievements. and decisively infuences the success of NATO joint operations. Information superiority must be preserved and enhanced through information assurance. Information assurance is an information operation that must be planned by the military in charge of operation security or by non-military experts, executed by all personnel during the entire intelligence cycle life time and employed during the planning and execution of NATO joint operations.

  19. Computational Intelligence in Information Systems Conference

    CERN Document Server

    Au, Thien-Wan; Omar, Saiful

    2017-01-01

    This book constitutes the Proceedings of the Computational Intelligence in Information Systems conference (CIIS 2016), held in Brunei, November 18–20, 2016. The CIIS conference provides a platform for researchers to exchange the latest ideas and to present new research advances in general areas related to computational intelligence and its applications. The 26 revised full papers presented in this book have been carefully selected from 62 submissions. They cover a wide range of topics and application areas in computational intelligence and informatics.

  20. Information Foraging Theory: A Framework for Intelligence Analysis

    Science.gov (United States)

    2014-11-01

    oceanographic information, human intelligence (HUMINT), open-source intelligence ( OSINT ), and information provided by other governmental departments [1][5...Human Intelligence IFT Information Foraging Theory LSA Latent Semantic Similarity MVT Marginal Value Theorem OFT Optimal Foraging Theory OSINT

  1. Intelligence from Space: Using Geographical Information Systems for Competitive Intelligence

    NARCIS (Netherlands)

    Hendriks, P.H.J.; Vriens, D.J.

    2003-01-01

    The spatial element, which is omnipresent in data and information relevant to organizations, is much underused in the decision-making processes within organizations. This applies also to decision-making within the domain of Competitive Intelligence. The chapter explores how the CI function may

  2. Model of intelligent information searching system

    International Nuclear Information System (INIS)

    Yastrebkov, D.I.

    2004-01-01

    A brief description of the technique to search for electronic documents in large archives as well as drawbacks is presented. A solution close to intelligent information searching systems is proposed. (author)

  3. Internet-based intelligent information processing systems

    CERN Document Server

    Tonfoni, G; Ichalkaranje, N S

    2003-01-01

    The Internet/WWW has made it possible to easily access quantities of information never available before. However, both the amount of information and the variation in quality pose obstacles to the efficient use of the medium. Artificial intelligence techniques can be useful tools in this context. Intelligent systems can be applied to searching the Internet and data-mining, interpreting Internet-derived material, the human-Web interface, remote condition monitoring and many other areas. This volume presents the latest research on the interaction between intelligent systems (neural networks, adap

  4. Emergent web intelligence advanced information retrieval

    CERN Document Server

    Badr, Youakim; Abraham, Ajith; Hassanien, Aboul-Ella

    2010-01-01

    Web Intelligence explores the impact of artificial intelligence and advanced information technologies representing the next generation of Web-based systems, services, and environments, and designing hybrid web systems that serve wired and wireless users more efficiently. Multimedia and XML-based data are produced regularly and in increasing way in our daily digital activities, and their retrieval must be explored and studied in this emergent web-based era. 'Emergent Web Intelligence: Advanced information retrieval, provides reviews of the related cutting-edge technologies and insights. It is v

  5. Issues and challenges in artificial intelligence

    CERN Document Server

    Kulikowski, Juliusz; Mroczek, Teresa; Wtorek, Jerzy

    2014-01-01

    The importance of human-computer system interaction problems is increasing due to the growing expectations of users on general computer systems capabilities in human work and life facilitation. Users expect system which is not only a passive tool in human hands but rather an active partner equipped with a sort of artificial intelligence, having access to large information resources, being able to adapt its behavior to the human requirements and to collaborate with the human users.   This book collects examples of recent human-computer system solutions. The content of the book is divided into three parts. Part I is devoted to detection, recognition and reasoning in different circumstances and applications. Problems associated with data modeling, acquisition and mining are presented by papers collected in part II and part III is devoted to Optimization.

  6. Speech Intelligibility Prediction Based on Mutual Information

    DEFF Research Database (Denmark)

    Jensen, Jesper; Taal, Cees H.

    2014-01-01

    This paper deals with the problem of predicting the average intelligibility of noisy and potentially processed speech signals, as observed by a group of normal hearing listeners. We propose a model which performs this prediction based on the hypothesis that intelligibility is monotonically related...... to the mutual information between critical-band amplitude envelopes of the clean signal and the corresponding noisy/processed signal. The resulting intelligibility predictor turns out to be a simple function of the mean-square error (mse) that arises when estimating a clean critical-band amplitude using...... a minimum mean-square error (mmse) estimator based on the noisy/processed amplitude. The proposed model predicts that speech intelligibility cannot be improved by any processing of noisy critical-band amplitudes. Furthermore, the proposed intelligibility predictor performs well ( ρ > 0.95) in predicting...

  7. [Business intelligence in radiology. Challenges and opportunities].

    Science.gov (United States)

    Escher, A; Boll, D

    2015-10-01

    Due to economic pressures and need for higher transparency, a ubiquitous availability of administrative information is needed. Therefore radiology managers should consider implementing business intelligence (BI) solutions. BI is defined as a systemic approach to support decision-making in business administration. It is an important part of the overall strategy of an organization. Implementation and operation is initially associated with costs and for a successful launch important prerequisites must be fulfilled. First, a suitable product must be selected, followed by the technical and organizational implementation. After consideration of the type of data to be collected and a system of key performance indicators must be established. BI replaces classic retrospective business reporting with multidimensional and multifactorial analyses, real-time monitoring, and predictive analyses. The benefits of BI include the rapid availability of important information and the depth of possible data analysis. The simple and intuitive use of modern BI applications by the users themselves (!) combined with a continuous availability of information is the key to success. Professional BI will be an important part of management in radiology in the future.

  8. Training Engineers for the Ambient Intelligence Challenge

    Science.gov (United States)

    Corno, Fulvio; De Russis, Luigi

    2017-01-01

    The increasing complexity of the new breed of distributed intelligent systems, such as the Internet of Things, which require a diversity of languages and protocols, can only be tamed with design and programming best practices. Interest is also growing for including the human factor, as advocated by the "ambient intelligence" (AmI)…

  9. The Information Barber Pole: Integrating White Information and Red Intelligence in Emerging Conflicts

    Science.gov (United States)

    2013-12-01

    Preparation of the Environment OSINT open source intelligence PNP SAF Philippines National Police Special Action Force SFA Security Force Assistance...intelligence functions which include (but are not limited to) human intelligence (HUMINT), open source intelligence ( OSINT ), and signals intelligence (SIGINT...intelligence ( OSINT ) is designed to capture information that hasn’t traditionally been considered part of the overall intelligence estimate. White

  10. Artificial intelligence in medicine: the challenges ahead.

    OpenAIRE

    Coiera, E W

    1996-01-01

    The modern study of artificial intelligence in medicine (AIM) is 25 years old. Throughout this period, the field has attracted many of the best computer scientists, and their work represents a remarkable achievement. However, AIM has not been successful-if success is judged as making an impact on the practice of medicine. Much recent work in AIM has been focused inward, addressing problems that are at the crossroads of the parent disciplines of medicine and artificial intelligence. Now, AIM m...

  11. ARTIFICIAL INTELLIGENCE- BENEFITS, CHALLENGES AND ETHICAL ISSUES

    OpenAIRE

    Elena Juganaru Andreou

    2017-01-01

    Nowadays, all big companies and most of small businesses are focused on increasing profitability and improving competitiveness. With this goal in mind, many of them turned to replace many tasks performed by humans with Artificial Intelligence. Artificial Intelligence (AI) is receiving an increasing attention lately and the debate is fiercely growing with a question not being answered yet: will it change the world for the better or for worse?

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

    Science.gov (United States)

    2011-06-01

    Intelligence (ELINT) • Open Source Intelligence ( OSINT ) • Technical Intelligence (TECHINT) These intelligence disciplines produce... intelligence , measurement and signature intelligence , signals intelligence , and open - source data, in the production of intelligence . All- source intelligence ...All- Source Information Integration and Management) R&D Project 3 All- Source Intelligence

  13. On leadership organizational intelligence/organizational stupidity: the leader's challenge.

    Science.gov (United States)

    Kerfoot, Karlene

    2003-01-01

    Creating organizations with a high IQ or creating organizations without the necessary intelligence guarantees success or failure of the organization. Without structures such as shared leadership and other forms of participative management, the organization or unit cannot access and use the available information and wisdom in the organization. When nurses and other health care professionals do not feel like they have a shared stake and do not feel like citizens of the organization, they lack passion for the organization's work. When nurses feel a sense of share ownnership and autonomy for the clinical practice, terrific outcomes are achieved. Leaders must accept the challenge to build the infrastructure that leads to excellence in organizational IQ.

  14. Artificial intelligence in medicine: the challenges ahead.

    Science.gov (United States)

    Coiera, E W

    1996-01-01

    The modern study of artificial intelligence in medicine (AIM) is 25 years old. Throughout this period, the field has attracted many of the best computer scientists, and their work represents a remarkable achievement. However, AIM has not been successful-if success is judged as making an impact on the practice of medicine. Much recent work in AIM has been focused inward, addressing problems that are at the crossroads of the parent disciplines of medicine and artificial intelligence. Now, AIM must move forward with the insights that it has gained and focus on finding solutions for problems at the heart of medical practice. The growing emphasis within medicine on evidence-based practice should provide the right environment for that change.

  15. Research of Classical and Intelligent Information System Solutions for Criminal Intelligence Analysis

    OpenAIRE

    Šimović, Vladimir

    2001-01-01

    The objective of this study is to present research on classical and intelligent information system solutions used in criminal intelligence analysis in Croatian security system theory. The study analyses objective and classical methods of information science, including artificial intelligence and other scientific methods. The intelligence and classical software solutions researched, proposed, and presented in this study were used in developing the integrated information system for the Croatian...

  16. 32 CFR 635.5 - Police Intelligence/Criminal Information.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 4 2010-07-01 2010-07-01 true Police Intelligence/Criminal Information. 635.5... ENFORCEMENT AND CRIMINAL INVESTIGATIONS LAW ENFORCEMENT REPORTING Records Administration § 635.5 Police Intelligence/Criminal Information. (a) The purpose of gathering police intelligence is to identify individuals...

  17. Smart information systems computational intelligence for real-life applications

    CERN Document Server

    Hopfgartner, Frank

    2015-01-01

    This must-read text/reference presents an overview of smart information systems for both the private and public sector, highlighting the research questions that can be studied by applying computational intelligence. The book demonstrates how to transform raw data into effective smart information services, covering the challenges and potential of this approach. Each chapter describes the algorithms, tools, measures and evaluations used to answer important questions. This is then further illustrated by a diverse selection of case studies reflecting genuine problems faced by SMEs, multinational

  18. A Business Intelligence Framework for Sustainability Information Management in Higher Education

    Science.gov (United States)

    Scholtz, Brenda; Calitz, Andre; Haupt, Ross

    2018-01-01

    Purpose: Higher education institutions (HEIs) face a number of challenges in effectively managing and reporting on sustainability information, such as siloes of data and a limited distribution of information. Business intelligence (BI) can assist in addressing the challenges faced by organisations. The purpose of this study was to propose a BI…

  19. Model architecture of intelligent data mining oriented urban transportation information

    Science.gov (United States)

    Yang, Bogang; Tao, Yingchun; Sui, Jianbo; Zhang, Feizhou

    2007-06-01

    Aiming at solving practical problems in urban traffic, the paper presents model architecture of intelligent data mining from hierarchical view. With artificial intelligent technologies used in the framework, the intelligent data mining technology improves, which is more suitable for the change of real-time road condition. It also provides efficient technology support for the urban transport information distribution, transmission and display.

  20. Information granularity, big data, and computational intelligence

    CERN Document Server

    Chen, Shyi-Ming

    2015-01-01

    The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry, and government organizations. Data sets such as customer transactions for a mega-retailer, weather monitoring, intelligence gathering, quickly outpace the capacities of traditional techniques and tools of data analysis. The 3V (volume, variability and velocity) challenges led to the emergence of new techniques and tools in data visualization, acquisition, and serialization. Soft Computing being regarded as a plethora of technologies of fuzzy sets (or Granular Computing), neurocomputing and evolutionary optimization brings forward a number of unique features that might be instrumental to the development of concepts and algorithms to deal with big data. This carefully edited volume provides the reader with an updated, in-depth material on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligenc...

  1. The intelligent user interface for NASA's advanced information management systems

    Science.gov (United States)

    Campbell, William J.; Short, Nicholas, Jr.; Rolofs, Larry H.; Wattawa, Scott L.

    1987-01-01

    NASA has initiated the Intelligent Data Management Project to design and develop advanced information management systems. The project's primary goal is to formulate, design and develop advanced information systems that are capable of supporting the agency's future space research and operational information management needs. The first effort of the project was the development of a prototype Intelligent User Interface to an operational scientific database, using expert systems and natural language processing technologies. An overview of Intelligent User Interface formulation and development is given.

  2. Intelligence system for reactor operator informational support

    International Nuclear Information System (INIS)

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

    1989-01-01

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

  3. Distributed artificial intelligence, diversity and information literacy

    Directory of Open Access Journals (Sweden)

    Peter Kåhre

    2010-09-01

    Full Text Available My proposal is based on my doctoral dissertation On the Shoulders of AI-technology : Sociology of Knowledge and Strong Artificial Intelligence which I succesfully defended on May 29th 2009. E-published http://www.lu.se/o.o.i.s?id=12588&postid=1389611 The dissertation is concerned with Sociology’s stance in the debate on Strong Artificial Intelligence,.i.e. AI-systems that is able to shape knowledge on their own. There is a need for sociologists to realize the difference between two approaches to constructing AI systems: Symbolic AI (or Classic AI and Connectionistic AI in a distributed model – DAI. Sociological literature shows a largely critical attitude towards Symbolic AI, an attitude that is justified. The main theme of the dissertation is that DAI is not only compatible with Sociology’s approach to what is social, but also constitutes an apt model of how a social system functions. This is consolidated with help from german sociologist Niklas Luhmann’s social systems theory. A lot of sociologists criticize AI because they think that diversity is important and can only be comprehended in informal circumstances that only humans interacting together can handle. They mean that social intelligence is needed to make something out of diversity and informalism. Luhmann´s systems theory gives the opposite perspective. It tells us that it is social systems that communicate and produce new knowledge structures out of contincency. Psychological systems, i.e. humans, can only think within the circumstances the social system offer. In that way human thoughts are bound by formalism. Diversity is constructed when the social systems interact with complexity in their environments. They reduce the complexity and try to present it as meaningful diversity. Today when most of academic literature is electronically stored and is accessible through the Internet from al over the world, DAI can help social systems to observe and reduce complexity in this

  4. Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012

    CERN Document Server

    Avadhani, P; Abraham, Ajith

    2012-01-01

    This volume contains the papers presented at INDIA-2012: International conference on  Information system Design and Intelligent Applications held on January 5-7, 2012 in Vishakhapatnam, India. This conference was organized by Computer Society of India (CSI), Vishakhapatnam chapter well supported by Vishakhapatnam Steel, RINL, Govt of India. It contains 108 papers contributed by authors from six different countries across four continents. These research papers mainly focused on intelligent applications and various system design issues. The papers cover a wide range of topics of computer science and information technology discipline ranging from image processing, data base application, data mining, grid and cloud computing, bioinformatics among many others. The various intelligent tools like swarm intelligence, artificial intelligence, evolutionary algorithms, bio-inspired algorithms have been applied in different papers for solving various challenging IT related problems.

  5. Information for the user in design of intelligent systems

    Science.gov (United States)

    Malin, Jane T.; Schreckenghost, Debra L.

    1993-01-01

    Recommendations are made for improving intelligent system reliability and usability based on the use of information requirements in system development. Information requirements define the task-relevant messages exchanged between the intelligent system and the user by means of the user interface medium. Thus, these requirements affect the design of both the intelligent system and its user interface. Many difficulties that users have in interacting with intelligent systems are caused by information problems. These information problems result from the following: (1) not providing the right information to support domain tasks; and (2) not recognizing that using an intelligent system introduces new user supervisory tasks that require new types of information. These problems are especially prevalent in intelligent systems used for real-time space operations, where data problems and unexpected situations are common. Information problems can be solved by deriving information requirements from a description of user tasks. Using information requirements embeds human-computer interaction design into intelligent system prototyping, resulting in intelligent systems that are more robust and easier to use.

  6. 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.

  7. Electronic publishing and intelligent information retrieval

    Science.gov (United States)

    Heck, A.

    1992-01-01

    Europeans are now taking steps to homogenize policies and standardize procedures in electronic publishing (EP) in astronomy and space sciences. This arose from an open meeting organized in Oct. 1991 at Strasbourg Observatory (France) and another business meeting held late Mar. 1992 with the major publishers and journal editors in astronomy and space sciences. The ultimate aim of EP might be considered as the so-called 'intelligent information retrieval' (IIR) or better named 'advanced information retrieval' (AIR), taking advantage of the fact that the material to be published appears at some stage in a machine-readable form. It is obvious that the combination of desktop and electronic publishing with networking and new structuring of knowledge bases will profoundly reshape not only our ways of publishing, but also our procedures of communicating and retrieving information. It should be noted that a world-wide survey among astronomers and space scientists carried out before the October 1991 colloquium on the various packages and machines used, indicated that TEX-related packages were already in majoritarian use in our community. It has also been stressed at each meeting that the European developments should be carried out in collaboration with what is done in the US (STELLAR project, for instance). American scientists and journal editors actually attended both meetings mentioned above. The paper will offer a review of the status of electronic publishing in astronomy and its possible contribution to advanced information retrieval in this field. It will also report on recent meetings such as the 'Astronomy from Large Databases-2 (ALD-2)' conference dealing with the latest developments in networking, in data, information, and knowledge bases, as well as in the related methodologies.

  8. INFORMATION ARCHITECTURE ANALYSIS USING BUSINESS INTELLIGENCE TOOLS BASED ON THE INFORMATION NEEDS OF EXECUTIVES

    Directory of Open Access Journals (Sweden)

    Fabricio Sobrosa Affeldt

    2013-08-01

    Full Text Available Devising an information architecture system that enables an organization to centralize information regarding its operational, managerial and strategic performance is one of the challenges currently facing information technology. The present study aimed to analyze an information architecture system developed using Business Intelligence (BI technology. The analysis was performed based on a questionnaire enquiring as to whether the information needs of executives were met during the process. A theoretical framework was applied consisting of information architecture and BI technology, using a case study methodology. Results indicated that the transaction processing systems studied did not meet the information needs of company executives. Information architecture using data warehousing, online analytical processing (OLAP tools and data mining may provide a more agile means of meeting these needs. However, some items must be included and others modified, in addition to improving the culture of information use by company executives.

  9. Ambient intelligence & personalization : people's perspectives on information privacy

    NARCIS (Netherlands)

    Garde - Perik, van de E.M.

    2009-01-01

    Current developments towards Ambient Intelligence and related technological visions of the future are founded on continuous collection of information about individuals and their activities. This collection of information, its potentially persistent storage, dissemination and use raise privacy

  10. Chips challenging champions games, computers and artificial intelligence

    CERN Document Server

    Schaeffer, J

    2002-01-01

    One of the earliest dreams of the fledgling field of artificial intelligence (AI) was to build computer programs that could play games as well as or better than the best human players. Despite early optimism in the field, the challenge proved to be surprisingly difficult. However, the 1990s saw amazing progress. Computers are now better than humans in checkers, Othello and Scrabble; are at least as good as the best humans in backgammon and chess; and are rapidly improving at hex, go, poker, and shogi. This book documents the progress made in computers playing games and puzzles. The book is the

  11. Security intelligence a practitioner's guide to solving enterprise security challenges

    CERN Document Server

    Li, Qing

    2015-01-01

    Identify, deploy, and secure your enterprise Security Intelligence, A Practitioner's Guide to Solving Enterprise Security Challenges is a handbook for security in modern times, against modern adversaries. As leaders in the design and creation of security products that are deployed globally across a range of industries and market sectors, authors Qing Li and Gregory Clark deliver unparalleled insight into the development of comprehensive and focused enterprise security solutions. They walk you through the process of translating your security goals into specific security technology domains, fo

  12. Business Intelligence tools as an element of information supply system

    Directory of Open Access Journals (Sweden)

    Agnieszka Szmelter

    2013-12-01

    Full Text Available This paper aims to present theBusiness Intelligence toolsas an element improvingflow of information withinthe management information systemand as atool to facilitate theachieving the objectives ofinformation supply system.In the firstpart of the paperthe author presents the issuesrelatedto the specific character of information as a kind of resource and functioning ofthe information supply systemin the enterprise. The secondpart of the articleincludethe characteristics ofBusiness Intelligence systems. The thirdpart deals withthe impact ofBusiness Intelligence toolsto the ongoingactivities ofinformation supply system.

  13. Advanced approaches to intelligent information and database systems

    CERN Document Server

    Boonjing, Veera; Chittayasothorn, Suphamit

    2014-01-01

    This book consists of 35 chapters presenting different theoretical and practical aspects of Intelligent Information and Database Systems. Nowadays both Intelligent and Database Systems are applied in most of the areas of human activities which necessitates further research in these areas. In this book various interesting issues related to the intelligent information models and methods as well as their advanced applications, database systems applications, data models and their analysis, and digital multimedia methods and applications are presented and discussed both from the practical and theoretical points of view. The book is organized in four parts devoted to intelligent systems models and methods, intelligent systems advanced applications, database systems methods and applications, and multimedia systems methods and applications. The book will be interesting for both practitioners and researchers, especially graduate and PhD students of information technology and computer science, as well more experienced ...

  14. Quantum Information: Opportunities and Challenges

    Energy Technology Data Exchange (ETDEWEB)

    Bennink, Ryan S [ORNL

    2008-01-01

    Modern society is shaped by the ability to transmit, manipulate, and store large amounts of information. Although we tend to think of information as abstract, information is physical, and computing is a physical process. How then should we understand information in a quantum world, in which physical systems may exist in multiple states at once and are altered by the very act of observation? This question has evolved into an exciting new field of research called Quantum Information (QI). QI challenges many accepted rules and practices in computer science. For example, a quantum computer would turn certain hard problems into soft problems, and would render common computationally-secure encryption methods (such as RSA) insecure. At the same time, quantum communication would provide an unprecedented kind of intrinsic information security at the level of the smallest physical objects used to store or transmit the information. This talk provides a general introduction to the subject of quantum information and its relevance to cyber security. In the first part, two of the stranger aspects of quantum physics namely, superposition and uncertainty are explained, along with their relation to the concept of information. These ideas are illustrated with a few examples: quantum ID cards, quantum key distribution, and Grover s quantum search algorithm. The state-of-the-art in quantum computing and communication hardware is then discussed, along with the daunting technological challenges that must be overcome. Relevant experimental and theoretical efforts at ORNL are highlighted. The talk concludes with speculations on the short- and long-term impact of quantum information on cyber security.

  15. SME Internationalization Intelligence Information and Knowledge on International Opportunities

    Directory of Open Access Journals (Sweden)

    Zizah Che Senik

    2014-12-01

    Full Text Available Small and medium enterprises (SMEs internationalization intelligence, referring to the process of gathering information and knowledge on international opportunities, is crucial to initiate SMEs’ internationalization. The literature has stressed organizational resources, networks and information sharing as means to acquire internationalization intelligence, suggesting that the resource-based, network and social capital perspectives can be adopted to explore this issue. However, previous literature still lacks evidence on how SMEs acquire relevant intelligence, and who or what are involved with the process. To address this lack of evidence, we interviewed 54 SME owners/key personnel in the manufacturing sector to: identify sources of internationalization intelligence; examine how those sources assist SMEs to internationalize; and develop propositions on internationalization intelligence. Analyzing the data using NVivo, four themes emerged including institutions, business associates, personal efforts, and other means. The analysis suggests internationalization intelligence occurs mainly through the networks of the SME owners/key personnel, built on their firm’s resources through their internal and external information sharing activities, indicating the need of the SMEs to position themselves in their environments. These findings are developed into propositions. The study indicates multiple perspectives in conceptualizing the process of internationalization intelligence. This study advances a conceptualization of internationalization intelligence, and offers avenues for future research.

  16. 8th Asian Conference on Intelligent Information and Database Systems

    CERN Document Server

    Madeyski, Lech; Nguyen, Ngoc

    2016-01-01

    The objective of this book is to contribute to the development of the intelligent information and database systems with the essentials of current knowledge, experience and know-how. The book contains a selection of 40 chapters based on original research presented as posters during the 8th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2016) held on 14–16 March 2016 in Da Nang, Vietnam. The papers to some extent reflect the achievements of scientific teams from 17 countries in five continents. The volume is divided into six parts: (a) Computational Intelligence in Data Mining and Machine Learning, (b) Ontologies, Social Networks and Recommendation Systems, (c) Web Services, Cloud Computing, Security and Intelligent Internet Systems, (d) Knowledge Management and Language Processing, (e) Image, Video, Motion Analysis and Recognition, and (f) Advanced Computing Applications and Technologies. The book is an excellent resource for researchers, those working in artificial intelligence, mu...

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

    Science.gov (United States)

    2011-12-31

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

  18. Sharing Law Enforcement and Intelligence Information: The Congressional Role

    National Research Council Canada - National Science Library

    Best Jr., Richard A

    2007-01-01

    Almost all assessments of the attacks of September 11, 2001, have concluded that U.S. intelligence and law enforcement agencies had failed to share information that might have provided advance warning of the plot...

  19. Fusing Intelligence With Law Enforcement Information: An Analytic Imperative

    National Research Council Canada - National Science Library

    Thornlow, Christopher C

    2005-01-01

    ... and Law Enforcement Communities to fuse and analyze foreign threat intelligence with domestic law enforcement information in a timely fashion to provide adequate indications and warning of such an...

  20. Artificial intelligence applications in information and communication technologies

    CERN Document Server

    Bouguila, Nizar

    2015-01-01

    This book presents various recent applications of Artificial Intelligence in Information and Communication Technologies such as Search and Optimization methods, Machine Learning, Data Representation and Ontologies, and Multi-agent Systems. The main aim of this book is to help Information and Communication Technologies (ICT) practitioners in managing efficiently their platforms using AI tools and methods and to provide them with sufficient Artificial Intelligence background to deal with real-life problems.  .

  1. The Challenge of Wireless Connectivity to Support Intelligent Mines

    DEFF Research Database (Denmark)

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

    2016-01-01

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

  2. 2015 International Conference on Information Technology and Intelligent Transportation Systems

    CERN Document Server

    Jain, Lakhmi; Zhao, Xiangmo

    2017-01-01

    This volume includes the proceedings of the 2015 International Conference on Information Technology and Intelligent Transportation Systems (ITITS 2015) which was held in Xi’an on December 12-13, 2015. The conference provided a platform for all professionals and researchers from industry and academia to present and discuss recent advances in the field of Information Technology and Intelligent Transportation Systems. The presented information technologies are connected to intelligent transportation systems including wireless communication, computational technologies, floating car data/floating cellular data, sensing technologies, and video vehicle detection. The articles focusing on intelligent transport systems vary in the technologies applied, from basic management systems to more application systems including topics such as emergency vehicle notification systems, automatic road enforcement, collision avoidance systems and some cooperative systems. The conference hosted 12 invited speakers and over 200 part...

  3. Intelligent Design—Fundamentalismus oder unbequeme Herausforderung? [Intelligent Design—Fundamentalism or Uncomfortable Challenge?

    Directory of Open Access Journals (Sweden)

    Berthold Wald

    2017-06-01

    Full Text Available Order and change in nature have been for a long time understood in philosophy and theology as founded in divine reason. In the neo-Darwinist theory of evolution, their explanation is reduced to material change without reason. Molecular biologists like M. Behe and W. Demski argue that any reductionist explanation of living beings must be wrong. The evolution of irreducible complex structures is impossible on the basis of random variation and natural selection alone, and must be the result of intelligent design. The article argues that ID-theory, unlike Biblical Creationism, is a challenge for neo-Darwinism and for modern theology as well—for, unlike the Roman magisterium, many Catholic theologians try to harmonize reductive explanation with the notion of creation.

  4. Intelligent Information Retrieval: Diagnosing Information Need. Part I. The Theoretical Framework for Developing an Intelligent IR Tool.

    Science.gov (United States)

    Cole, Charles

    1998-01-01

    Suggests that the principles underlying the procedure used by doctors to diagnose a patient's disease are useful in the design of intelligent information-retrieval systems because the task of the doctor is conceptually similar to the computer or human intermediary's task in information retrieval: to draw out the user's query/information need.…

  5. A Prototype of an Intelligent System for Information Retrieval: IOTA.

    Science.gov (United States)

    Chiaramella, Y.; Defude, B.

    1987-01-01

    Discusses expert systems and their value as components of information retrieval systems related to semantic inference, and describes IOTA, a model of an intelligent information retrieval system which emphasizes natural language query processing. Experimental results are discussed and current and future developments are highlighted. (Author/LRW)

  6. Building an Information Resource Center for Competitive Intelligence.

    Science.gov (United States)

    Martin, J. Sperling

    1992-01-01

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

  7. Critical value factors in business intelligence systems implementation success: An empirical analysis of system and information quality

    OpenAIRE

    Hackney, RA; Dooley, P; Levvy, Y; Parrish, J

    2015-01-01

    Business Intelligence (BI) systems have been rated as a leading technology for the last several years. However, organizations have struggled to ensure that high quality information is provided to and from BI systems. This suggests that organizations have recognized the value of information and the potential opportunities available but are challenged by the lack of success in Business Intelligence Systems Implementation (BISI). Therefore, our research addresses the preponderance of failed BI s...

  8. 9th Asian Conference on Intelligent Information and Database Systems

    CERN Document Server

    Nguyen, Ngoc; Shirai, Kiyoaki

    2017-01-01

    This book presents recent research in intelligent information and database systems. The carefully selected contributions were initially accepted for presentation as posters at the 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2017) held from to 5 April 2017 in Kanazawa, Japan. While the contributions are of an advanced scientific level, several are accessible for non-expert readers. The book brings together 47 chapters divided into six main parts: • Part I. From Machine Learning to Data Mining. • Part II. Big Data and Collaborative Decision Support Systems, • Part III. Computer Vision Analysis, Detection, Tracking and Recognition, • Part IV. Data-Intensive Text Processing, • Part V. Innovations in Web and Internet Technologies, and • Part VI. New Methods and Applications in Information and Software Engineering. The book is an excellent resource for researchers and those working in algorithmics, artificial and computational intelligence, collaborative systems, decisio...

  9. Intelligent Tools for Building a Scientific Information Platform

    CERN Document Server

    Skonieczny, Lukasz; Rybiński, Henryk; Niezgodka, Marek

    2012-01-01

    This book is a selection of results obtained within one year of research performed under SYNAT - a nation-wide scientific project aiming to create an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland. The selection refers to the research in artificial intelligence, knowledge discovery and data mining, information retrieval and natural language processing, addressing the problems of implementing intelligent tools for building a scientific information platform. The idea of this book is based on the very successful SYNAT Project Conference and the SYNAT Workshop accompanying the 19th International Symposium on Methodologies for Intelligent Systems (ISMIS 2011). The papers included in this book present an overview and insight into such topics as architecture of scientific information platforms, semantic clustering, ontology-based systems, as well as, multimedia data processing.

  10. Information theory, animal communication, and the search for extraterrestrial intelligence

    Science.gov (United States)

    Doyle, Laurance R.; McCowan, Brenda; Johnston, Simon; Hanser, Sean F.

    2011-02-01

    We present ongoing research in the application of information theory to animal communication systems with the goal of developing additional detectors and estimators for possible extraterrestrial intelligent signals. Regardless of the species, for intelligence (i.e., complex knowledge) to be transmitted certain rules of information theory must still be obeyed. We demonstrate some preliminary results of applying information theory to socially complex marine mammal species (bottlenose dolphins and humpback whales) as well as arboreal squirrel monkeys, because they almost exclusively rely on vocal signals for their communications, producing signals which can be readily characterized by signal analysis. Metrics such as Zipf's Law and higher-order information-entropic structure are emerging as indicators of the communicative complexity characteristic of an "intelligent message" content within these animals' signals, perhaps not surprising given these species' social complexity. In addition to human languages, for comparison we also apply these metrics to pulsar signals—perhaps (arguably) the most "organized" of stellar systems—as an example of astrophysical systems that would have to be distinguished from an extraterrestrial intelligence message by such information theoretic filters. We also look at a message transmitted from Earth (Arecibo Observatory) that contains a lot of meaning but little information in the mathematical sense we define it here. We conclude that the study of non-human communication systems on our own planet can make a valuable contribution to the detection of extraterrestrial intelligence by providing quantitative general measures of communicative complexity. Studying the complex communication systems of other intelligent species on our own planet may also be one of the best ways to deprovincialize our thinking about extraterrestrial communication systems in general.

  11. Challenges and Characteristics of Intelligent Autonomy for Internet of Battle Things in Highly Adversarial Environments

    OpenAIRE

    Kott, Alexander

    2018-01-01

    Numerous, artificially intelligent, networked things will populate the battlefield of the future, operating in close collaboration with human warfighters, and fighting as teams in highly adversarial environments. This paper explores the characteristics, capabilities and intelligence required of such a network of intelligent things and humans - Internet of Battle Things (IOBT). It will experience unique challenges that are not yet well addressed by the current generation of AI and machine lear...

  12. Effect of Undergraduates’ Emotional Intelligence on Information Search Behavior

    Directory of Open Access Journals (Sweden)

    Wang Haocheng

    2017-06-01

    Full Text Available [Purpose/significance] Information search capability is the focus of information literacy education. This paper explores the relationship between emotional intelligence and information search behavior. [Method/process] Based on the data from the questionnaires by 250 undergraduates, this paper used IBM SPSS Statistics 19.0 for statistical data analysis. [Result/conclusion]The correlation between emotional intelligence and information search capability is positively obvious. When it comes to all variables in the regression equation, information search behavior is mainly affected by regulation and utilization of the dimension of emotion. Utilization of emotion mainly affects retrieval strategies, information evaluation, behavior adjustment and total score; regulation of emotions mainly affects the information reference.

  13. POSSIBILITIES FOR INNOVATIVE SCIENTIFIC APPROACH: INFORMATION VISUALIZATION AND EXPERIMENT IN INTELLIGENCE RESEARCH

    Directory of Open Access Journals (Sweden)

    Dejan Ulcej

    2013-09-01

    Full Text Available In addition to universal social changes, the information revolution also brought a lot of innovation to the workings of intelligence services, which are traditionally the part of the national security system that is conducting data analyses and for which information is the primary product. If in the past the main problem and challenge has been the timely acquisition of data, today most agencies are faced with an entirely different problem - information overload. This problem is being tackled by technical as well as systemic measures that combine various types of intelligence work. However, there are still unanswered questions regarding the applicability of intelligence products for decision makers. Here we have to point out information visualization as the subject of an interdisciplinary scientific research that definitely shows a lot of potential in the context of the defense science as well. This article points out three key requirements that allow the application of information visualization to defense research: (1 the concept of the intelligence cycle can be used as a good basis for the information that is subject to visualization; (2 the quality of decision-making support information depends on proper visualization; (3 the first two requirements offer a stable theoretical and empirical basis for the introduction of innovative scientific methods in the field of defense science, such as experiments.

  14. Intelligent Information Systems for Web Product Search

    NARCIS (Netherlands)

    D. Vandic (Damir)

    2017-01-01

    markdownabstractOver the last few years, we have experienced an increase in online shopping. Consequently, there is a need for efficient and effective product search engines. The rapid growth of e-commerce, however, has also introduced some challenges. Studies show that users can get overwhelmed by

  15. Bringing Business Intelligence to Health Information Technology Curriculum

    Science.gov (United States)

    Zheng, Guangzhi; Zhang, Chi; Li, Lei

    2015-01-01

    Business intelligence (BI) and healthcare analytics are the emerging technologies that provide analytical capability to help healthcare industry improve service quality, reduce cost, and manage risks. However, such component on analytical healthcare data processing is largely missed from current healthcare information technology (HIT) or health…

  16. Ontology-Based Information Extraction for Business Intelligence

    Science.gov (United States)

    Saggion, Horacio; Funk, Adam; Maynard, Diana; Bontcheva, Kalina

    Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information. We describe the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence and country/region information. The results of our experiments so far are very promising and we are now in the process of building a complete end-to-end solution.

  17. An Innovative Thinking-Based Intelligent Information Fusion Algorithm

    Directory of Open Access Journals (Sweden)

    Huimin Lu

    2013-01-01

    Full Text Available This study proposes an intelligent algorithm that can realize information fusion in reference to the relative research achievements in brain cognitive theory and innovative computation. This algorithm treats knowledge as core and information fusion as a knowledge-based innovative thinking process. Furthermore, the five key parts of this algorithm including information sense and perception, memory storage, divergent thinking, convergent thinking, and evaluation system are simulated and modeled. This algorithm fully develops innovative thinking skills of knowledge in information fusion and is a try to converse the abstract conception of brain cognitive science to specific and operable research routes and strategies. Furthermore, the influences of each parameter of this algorithm on algorithm performance are analyzed and compared with those of classical intelligent algorithms trough test. Test results suggest that the algorithm proposed in this study can obtain the optimum problem solution by less target evaluation times, improve optimization effectiveness, and achieve the effective fusion of information.

  18. Human aspects in ambient intelligence contemporary challenges and solutions

    CERN Document Server

    Bosse, Tibor; Neerincx, Mark

    2013-01-01

    This book presents recent developments in the field of human aspects in Ambient Intelligence. It addresses multidisciplinary aspects of AmI with human-directed disciplines such as psychology, social science, neuroscience and biomedical sciences.

  19. Intelligent query processing for semantic mediation of information systems

    Directory of Open Access Journals (Sweden)

    Saber Benharzallah

    2011-11-01

    Full Text Available We propose an intelligent and an efficient query processing approach for semantic mediation of information systems. We propose also a generic multi agent architecture that supports our approach. Our approach focuses on the exploitation of intelligent agents for query reformulation and the use of a new technology for the semantic representation. The algorithm is self-adapted to the changes of the environment, offers a wide aptitude and solves the various data conflicts in a dynamic way; it also reformulates the query using the schema mediation method for the discovered systems and the context mediation for the other systems.

  20. International Conference on Information and Communication Technology for Intelligent Systems

    CERN Document Server

    Das, Swagatam

    2016-01-01

    This volume contains 60 papers presented at ICTIS 2015: International Conference on Information and Communication Technology for Intelligent Systems. The conference was held during 28th and 29th November, 2015, Ahmedabad, India and organized communally by Venus International College of Technology, Association of Computer Machinery, Ahmedabad Chapter and Supported by Computer Society of India Division IV – Communication and Division V – Education and Research. This volume contains papers mainly focused on ICT and its application for Intelligent Computing, Cloud Storage, Data Mining, Image Processing and Software Analysis etc.

  1. Complexity Intelligence and Cultural Coaching: Navigating the Gap Between Our Societal Challenges and Our Capacities

    Directory of Open Access Journals (Sweden)

    Jan Inglis

    2005-06-01

    Full Text Available In this article, we present the term complexity intelligence as a useful moniker to describe the reasoning ability, emotional capacity and social cognition necessary to meet the challenges of our prevailing life conditions. We suggest that, as a society and as individuals, we develop complexity intelligence as we navigate the gap between our current capacities and the capacities needed to respond to the next stage of complex challenges in our lives. We further suggest that it is possible to stimulate and support the emergence of complexity intelligence in a society, but we need a new form of social change agent – a cultural coach, to midwife its emergence.

  2. Information Security Intelligence as a Basis for Modern Information Security Management

    Directory of Open Access Journals (Sweden)

    Natalia Georgievna Miloslavskaya

    2013-12-01

    Full Text Available There is a transfer from the simple Log Management Systems and SIEM systems to those supporting Information Security Intelligence (ISI. ISIe as Business Intelligence enables companies to make more informed business decisions through more effective processing of great volumes of available information concerning their IT infrastructure. The relevance of such a transition is defined. The main goal and advantage of ISI are highlighted. The basic functionality of computer-based systems for ISI are determined.

  3. Information Security Intelligence as a Basis for Modern Information Security Management

    OpenAIRE

    Natalia Georgievna Miloslavskaya; Aleksandr Ivanovich Tolstoy

    2013-01-01

    There is a transfer from the simple Log Management Systems and SIEM systems to those supporting Information Security Intelligence (ISI). ISIe as Business Intelligence enables companies to make more informed business decisions through more effective processing of great volumes of available information concerning their IT infrastructure. The relevance of such a transition is defined. The main goal and advantage of ISI are highlighted. The basic functionality of computer-based systems for ISI ar...

  4. An Investigation of the Potential Benefits and Challenges of Business Intelligence Adoption in the Retail Sector in Gweru, Zimbabwe

    Directory of Open Access Journals (Sweden)

    Carlington Rufaro Zamba

    2018-04-01

    Full Text Available The research explores the business intelligence tools that are being utilised by retailers in Gweru in a bid to find the extent of business intelligence (BI adoption in this sector through comparison with other business intelligence models and frameworks. It further finds the benefits and challenges of adopting business intelligence in the retail sector. The information was collected using questionnaires, interviews and observations. The research findings revealed that there is no integration of data sources used by the current BI tools in the retail sector. Most of the external and internal data sources for business intelligence are being underutilized and there is no adoption of Enterprise Resource Planning (ERP systems. The research recommends the following to the retail sector organisations in Gweru: adoption of ERP systems, adequate budgets for infrastructure and networking equipment, training of staff, and integration of data sources for BI systems and adoption of integrated BI tools amongst others to circumvent most of the challenges of BI adoption in the retail sector of Gweru

  5. Challenges in Managing Information Extraction

    Science.gov (United States)

    Shen, Warren H.

    2009-01-01

    This dissertation studies information extraction (IE), the problem of extracting structured information from unstructured data. Example IE tasks include extracting person names from news articles, product information from e-commerce Web pages, street addresses from emails, and names of emerging music bands from blogs. IE is all increasingly…

  6. Information gathering, management and transfering for geospacial intelligence

    Science.gov (United States)

    Nunes, Paulo; Correia, Anacleto; Teodoro, M. Filomena

    2017-07-01

    Information is a key subject in modern organization operations. The success of joint and combined operations with organizations partners depends on the accurate information and knowledge flow concerning the operations theatre: provision of resources, environment evolution, markets location, where and when an event occurred. As in the past and nowadays we cannot conceive modern operations without maps and geo-spatial information (GI). Information and knowledge management is fundamental to the success of organizational decisions in an uncertainty environment. The georeferenced information management is a process of knowledge management, it begins in the raw data and ends on generating knowledge. GI and intelligence systems allow us to integrate all other forms of intelligence and can be a main platform to process and display geo-spatial-time referenced events. Combining explicit knowledge with peoples know-how to generate a continuous learning cycle that supports real time decisions mitigates the influences of fog of everyday competition and provides the knowledge supremacy. Extending the preliminary analysis done in [1], this work applies the exploratory factor analysis to a questionnaire about the GI and intelligence management in an organization company allowing to identify future lines of action to improve information process sharing and exploration of all the potential of this important resource.

  7. Instruction in Information Structuring Improves Bayesian Judgment in Intelligence Analysts

    Directory of Open Access Journals (Sweden)

    David R. Mandel

    2015-04-01

    Full Text Available An experiment was conducted to test the effectiveness of brief instruction in information structuring (i.e., representing and integrating information for improving the coherence of probability judgments and binary choices among intelligence analysts. Forty-three analysts were presented with comparable sets of Bayesian judgment problems before and immediately after instruction. After instruction, analysts’ probability judgments were more coherent (i.e., more additive and compliant with Bayes theorem. Instruction also improved the coherence of binary choices regarding category membership: after instruction, subjects were more likely to invariably choose the category to which they assigned the higher probability of a target’s membership. The research provides a rare example of evidence-based validation of effectiveness in instruction to improve the statistical assessment skills of intelligence analysts. Such instruction could also be used to improve the assessment quality of other types of experts who are required to integrate statistical information or make probabilistic assessments.

  8. DATA MAYHEM VERSUS NIMBLE INFORMATION: TRANSFORMING HECTIC IMAGERY INTELLIGENCE DATA INTO ACTIONABLE INFORMATION USING ARTIFICIAL NEURAL NETWORKS

    Science.gov (United States)

    2017-10-01

    organized intelligence with a comprehensive account of the information derived, validated by intelligence requirements tasking. Third Phase...AU/ACSC/MORALES/AY17 AIR COMMAND AND STAFF COLLEGE DISTANCE LEARNING AIR UNIVERSITY DATA MAYHEM VERSUS NIMBLE INFORMATION : TRANSFORMING...HECTIC IMAGERY INTELLIGENCE DATA INTO ACTIONABLE INFORMATION USING ARTIFICIAL NEURAL NETWORKS by Luis A. Morales, Major, USAF A Research

  9. Challenges in sharing information effectively

    DEFF Research Database (Denmark)

    Sonnenwald, Diane H.

    2006-01-01

    collaborating successfully, i.e., a deceptively false shared understanding had emerged. These incidents were analysed to discover what led to these unsuspected breakdowns in information sharing. Results. Unsuspected breakdowns in information sharing emerged when: differences in implementations of shared symbols......Introduction. The goal of information sharing is to change a person's image of the world and to develop a shared working understanding. It is an essential component of collaboration. This paper examines barriers to sharing information effectively in dynamic group work situations. Method. Three...... types of battlefield training simulations were observed and open-ended interviews with military personnel were conducted. Analysis. Observation notes and interview transcripts were analysed to identify incidents when group members erroneously believed they had shared information effectively and were...

  10. Information security system quality assessment through the intelligent tools

    Science.gov (United States)

    Trapeznikov, E. V.

    2018-04-01

    The technology development has shown the automated system information security comprehensive analysis necessity. The subject area analysis indicates the study relevance. The research objective is to develop the information security system quality assessment methodology based on the intelligent tools. The basis of the methodology is the information security assessment model in the information system through the neural network. The paper presents the security assessment model, its algorithm. The methodology practical implementation results in the form of the software flow diagram are represented. The practical significance of the model being developed is noted in conclusions.

  11. Information Needs in Competitive Technical Intelligence

    Directory of Open Access Journals (Sweden)

    Jan Cerny

    2016-01-01

    Full Text Available Abstract: In this paper, the importance of CTI for the innovation management of companies will be discussed, including the barriers, the core structure of the CTI unit and a proper search process from top management to concrete research outputs. To begin with, we need to define the environment where the innovation activities are being conducted. In the second part, we put CTI in the organizational framework of the companies, and in the third part we discuss the importance of information needs focused on innovative companies.

  12. Quantum: information theory: technological challenge

    International Nuclear Information System (INIS)

    Calixto, M.

    2001-01-01

    The new Quantum Information Theory augurs powerful machines that obey the entangled logic of the subatomic world. Parallelism, entanglement, teleportation, no-cloning and quantum cryptography are typical peculiarities of this novel way of understanding computation. (Author) 24 refs

  13. Human Aspects in Ambient Intelligence : Contemporary Challenges and Solutions

    NARCIS (Netherlands)

    Bosse, T.; Cook, D.J.; Neerincx, M.A.; Sadri, F.

    2013-01-01

    This book presents recent developments is the field of human aspects in Ambient Intelligence. This field, and the associated workshop series, addresses multidisciplinary aspects of AmI with human-directed disciplines such as psychology, social science, neuroscience and biomedical sciences. The aim

  14. Industrial Internet of Things-Based Collaborative Sensing Intelligence: Framework and Research Challenges

    Science.gov (United States)

    Chen, Yuanfang; Lee, Gyu Myoung; Shu, Lei; Crespi, Noel

    2016-01-01

    The development of an efficient and cost-effective solution to solve a complex problem (e.g., dynamic detection of toxic gases) is an important research issue in the industrial applications of the Internet of Things (IoT). An industrial intelligent ecosystem enables the collection of massive data from the various devices (e.g., sensor-embedded wireless devices) dynamically collaborating with humans. Effectively collaborative analytics based on the collected massive data from humans and devices is quite essential to improve the efficiency of industrial production/service. In this study, we propose a collaborative sensing intelligence (CSI) framework, combining collaborative intelligence and industrial sensing intelligence. The proposed CSI facilitates the cooperativity of analytics with integrating massive spatio-temporal data from different sources and time points. To deploy the CSI for achieving intelligent and efficient industrial production/service, the key challenges and open issues are discussed, as well. PMID:26861345

  15. Industrial Internet of Things-Based Collaborative Sensing Intelligence: Framework and Research Challenges.

    Science.gov (United States)

    Chen, Yuanfang; Lee, Gyu Myoung; Shu, Lei; Crespi, Noel

    2016-02-06

    The development of an efficient and cost-effective solution to solve a complex problem (e.g., dynamic detection of toxic gases) is an important research issue in the industrial applications of the Internet of Things (IoT). An industrial intelligent ecosystem enables the collection of massive data from the various devices (e.g., sensor-embedded wireless devices) dynamically collaborating with humans. Effectively collaborative analytics based on the collected massive data from humans and devices is quite essential to improve the efficiency of industrial production/service. In this study, we propose a collaborative sensing intelligence (CSI) framework, combining collaborative intelligence and industrial sensing intelligence. The proposed CSI facilitates the cooperativity of analytics with integrating massive spatio-temporal data from different sources and time points. To deploy the CSI for achieving intelligent and efficient industrial production/service, the key challenges and open issues are discussed, as well.

  16. Industrial Internet of Things-Based Collaborative Sensing Intelligence: Framework and Research Challenges

    Directory of Open Access Journals (Sweden)

    Yuanfang Chen

    2016-02-01

    Full Text Available The development of an efficient and cost-effective solution to solve a complex problem (e.g., dynamic detection of toxic gases is an important research issue in the industrial applications of the Internet of Things (IoT. An industrial intelligent ecosystem enables the collection of massive data from the various devices (e.g., sensor-embedded wireless devices dynamically collaborating with humans. Effectively collaborative analytics based on the collected massive data from humans and devices is quite essential to improve the efficiency of industrial production/service. In this study, we propose a collaborative sensing intelligence (CSI framework, combining collaborative intelligence and industrial sensing intelligence. The proposed CSI facilitates the cooperativity of analytics with integrating massive spatio-temporal data from different sources and time points. To deploy the CSI for achieving intelligent and efficient industrial production/service, the key challenges and open issues are discussed, as well.

  17. Artificial Intelligence at Advanced Information and Decision Systems

    OpenAIRE

    McCune, Brian P.

    1981-01-01

    Advanced Information and Decision Systems (AI-DS) is a relatively new, employee-owned company that does basic and applied research, product development, and consulting in the fields of artificial intelligence, computer science, decision analysis, operations research, control theory, estimation theory, and signal processing. AI&DS performs studies, analyses, systems design and evaluation, and software development for a variety of industrial clients and government agencies, including the Depart...

  18. Business intelligence from social media: a study from the VAST Box Office Challenge.

    Science.gov (United States)

    Lu, Yafeng; Wang, Feng; Maciejewski, Ross

    2014-01-01

    With over 16 million tweets per hour, 600 new blog posts per minute, and 400 million active users on Facebook, businesses have begun searching for ways to turn real-time consumer-based posts into actionable intelligence. The goal is to extract information from this noisy, unstructured data and use it for trend analysis and prediction. Current practices support the idea that visual analytics (VA) can help enable the effective analysis of such data. However, empirical evidence demonstrating the effectiveness of a VA solution is still lacking. A proposed VA toolkit extracts data from Bitly and Twitter to predict movie revenue and ratings. Results from the 2013 VAST Box Office Challenge demonstrate the benefit of an interactive environment for predictive analysis, compared to a purely statistical modeling approach. The VA approach used by the toolkit is generalizable to other domains involving social media data, such as sales forecasting and advertisement analysis.

  19. Challenges facing the distribution of an artificial-intelligence-based system for nursing.

    Science.gov (United States)

    Evans, S

    1985-04-01

    The marketing and successful distribution of artificial-intelligence-based decision-support systems for nursing face special barriers and challenges. Issues that must be confronted arise particularly from the present culture of the nursing profession as well as the typical organizational structures in which nurses predominantly work. Generalizations in the literature based on the limited experience of physician-oriented artificial intelligence applications (predominantly in diagnosis and pharmacologic treatment) must be modified for applicability to other health professions.

  20. 75 FR 49946 - National Drug Intelligence Center: Agency Information Collection Activities: Proposed Extension...

    Science.gov (United States)

    2010-08-16

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

  1. Intelligent Data Analysis in the EMERCOM Information System

    Science.gov (United States)

    Elena, Sharafutdinova; Tatiana, Avdeenko; Bakaev, Maxim

    2017-01-01

    The paper describes an information system development project for the Russian Ministry of Emergency Situations (MES, whose international operations body is known as EMERCOM), which was attended by the representatives of both the IT industry and the academia. Besides the general description of the system, we put forward OLAP and Data Mining-based approaches towards the intelligent analysis of the data accumulated in the database. In particular, some operational OLAP reports and an example of multi-dimensional information space based on OLAP Data Warehouse are presented. Finally, we outline Data Mining application to support decision-making regarding security inspections planning and results consideration.

  2. A conceptual framework for intelligent real-time information processing

    Science.gov (United States)

    Schudy, Robert

    1987-01-01

    By combining artificial intelligence concepts with the human information processing model of Rasmussen, a conceptual framework was developed for real time artificial intelligence systems which provides a foundation for system organization, control and validation. The approach is based on the description of system processing terms of an abstraction hierarchy of states of knowledge. The states of knowledge are organized along one dimension which corresponds to the extent to which the concepts are expressed in terms of the system inouts or in terms of the system response. Thus organized, the useful states form a generally triangular shape with the sensors and effectors forming the lower two vertices and the full evaluated set of courses of action the apex. Within the triangle boundaries are numerous processing paths which shortcut the detailed processing, by connecting incomplete levels of analysis to partially defined responses. Shortcuts at different levels of abstraction include reflexes, sensory motor control, rule based behavior, and satisficing. This approach was used in the design of a real time tactical decision aiding system, and in defining an intelligent aiding system for transport pilots.

  3. 7th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2015)

    CERN Document Server

    Nguyen, Ngoc; Batubara, John; New Trends in Intelligent Information and Database Systems

    2015-01-01

    Intelligent information and database systems are two closely related subfields of modern computer science which have been known for over thirty years. They focus on the integration of artificial intelligence and classic database technologies to create the class of next generation information systems. The book focuses on new trends in intelligent information and database systems and discusses topics addressed to the foundations and principles of data, information, and knowledge models, methodologies for intelligent information and database systems analysis, design, and implementation, their validation, maintenance and evolution. They cover a broad spectrum of research topics discussed both from the practical and theoretical points of view such as: intelligent information retrieval, natural language processing, semantic web, social networks, machine learning, knowledge discovery, data mining, uncertainty management and reasoning under uncertainty, intelligent optimization techniques in information systems, secu...

  4. Business intelligence key to success in the information age

    Directory of Open Access Journals (Sweden)

    Helmer Muñoz-Hernández

    2017-02-01

    Full Text Available This article aims to describe and classify in a more concrete way information systems, which are framed in what is properly called as "business intelligence". It begins analyzing each of the basic concepts and theoretical aspects and then detail in shaping transactional systems and the most important strategic systems including their benefits, their modes of use, and its disadvantages; It reflects on some cases actually exposed business globally, and the impact it has had the adoption of information systems in its corporate strategy as a key competitive advantages achieving considerable success. Finally, it concludes by describing the importance that has had the implementation of at least some of these information systems in strategic planning of organizations, especially in Colombia and Latin America.

  5. From Management Information Systems to Business Intelligence: The Development of Management Information Needs

    Directory of Open Access Journals (Sweden)

    Gėlytė Kazakevičienė

    2013-09-01

    Full Text Available Despite the advances in IT, information systems intended for management informing did not uniformly fulfil the increased expectations of users; this can be said mostly about complex information needs. Although some of the technologies for supporting complicated insights, like management decision support systems and technologies, experienced reduction in interest both from researchers and practitioners, this did not reduce the importance of well-supported business informing and decision making. Being attributed to the group of intelligent systems and technologies, decision support (DS technologies have been largely supplemented by business intelligence (BI technologies. Both types of technologies are supported by respective information technologies, which often appear to be quite closely related. The objective of this paper is to define relations between simple and complex informing intended to satisfy different sets of needs and provided by different sets of support tools. The paper attempts to put together decision support and business intelligence technologies, based on common goals of sense-making and use of advanced analytical tools. A model of two interconnected cycles has been developed to relate the activities of decision support and business intelligence. Empirical data from earlier research is used to direct possible further insights into this area.

  6. Communication and Artificial Intelligence: Opportunities and Challenges for the 21st Century

    OpenAIRE

    David J. Gunkel

    2012-01-01

    This essay advocates for a significant reorientation and reconceptualization of communication studies in order to accommodate the opportunities and challenges introduced by increasingly intelligent machines, autonomous decision making systems, and smart devices. Historically the discipline of communication has accommodated new technology by transforming these innovations into a medium of human interaction and message exchange. With the computer, this transaction is particularly evident with t...

  7. Artificial intelligence and information-control systems of robots - 87

    International Nuclear Information System (INIS)

    Plander, I.

    1987-01-01

    Independent research areas of artificial intelligence represent the following problems: automatic problem solving and new knowledge discovering, automatic program synthesis, natural language, picture and scene recognition and understanding, intelligent control systems of robots equipped with sensoric subsystems, dialogue of two knowledge systems, as well as studying and modelling higher artificial intelligence attributes, such as emotionality and personality. The 4th Conference draws on the problems treated at the preceding Conferences, and presents the most recent knowledge on the following topics: theoretical problems of artificial intelligence, knowledge-based systems, expert systems, perception and pattern recognition, robotics, intelligent computer-aided design, special-purpose computer systems for artificial intelligence and robotics

  8. THE NECESSITY OF INFORMATION QUALITY FOR EFFECTIVE BUSINESS INTELLIGENCE

    Directory of Open Access Journals (Sweden)

    P.J. Conradie

    2012-01-01

    Full Text Available

    ENGLISH ABSTRACT: Data quality, or rather the lack thereof, has been the downfall of many Data warehousing (DW / Business Intelligence (BI projects. The concept of Information Quality (IQ has become increasingly important as the popularity of Business Intelligence (BI increases. Industrial engineers have played a key role in the development and implementation of Total Quality Management (TQM principles that are widely used in the manufacturing environment. In the information era, industrial engineers can apply the same principles to data. This article aims to identify strategies and processes to improve IQ that will eventually lead to data warehouses with complete, accurate and timely data that consistently meets the requirements of knowledge workers in their quest to make improved business decisions.

    AFRIKAANSE OPSOMMING: Die gebrek aan datakwaliteit het al menige Databergings- en Besigheidsintelligensieprojekte laat sneuwel. Die konsep van Inligtingskwaliteit word al meer prominent soos die gewildheid van Besigheidsintelligensie toeneem. Bedryfsingenieurs het reeds ‘n sleutelrol gespeel in die ontwikkeling en implementering van Totale Kwaliteitsbestuurbeginsels wat algemeen in die vervaardigingsomgewing gebruik word. In die inligtingsera kan bedryfsingenieurs dieselfde beginsels ook op data toepas. Hierdie artikel identifiseer strategieë en prosesse om inligtingskwaliteit te verbeter wat uiteindelik behoort te lei tot datastore met volledige en akkurate data wat betyds en konsekwent aan kenniswerkers se behoeftes voldoen en hulle instaat stel om beter besigheidsbesluite te neem.

  9. Warfighter information services: lessons learned in the intelligence domain

    Science.gov (United States)

    Bray, S. E.

    2014-05-01

    A vision was presented in a previous paper of how a common set of services within a framework could be used to provide all the information processing needs of Warfighters. Central to that vision was the concept of a "Virtual Knowledge Base". The paper presents an implementation of these ideas in the intelligence domain. Several innovative technologies were employed in the solution, which are presented and their benefits explained. The project was successful, validating many of the design principles for such a system which had been proposed in earlier work. Many of these principles are discussed in detail, explaining lessons learned. The results showed that it is possible to make vast improvements in the ability to exploit available data, making it discoverable and queryable wherever it is from anywhere within a participating network; and to exploit machine reasoning to make faster and better inferences from available data, enabling human analysts to spend more of their time doing more difficult analytical tasks rather than searching for relevant data. It was also demonstrated that a small number of generic Information Processing services can be combined and configured in a variety of ways (without changing any software code) to create "fact-processing" workflows, in this case to create different intelligence analysis capabilities. It is yet to be demonstrated that the same generic services can be reused to create analytical/situational awareness capabilities for logistics, operations, planning or other military functions but this is considered likely.

  10. Intelligent information system for waste management; Jaetehuollon aelykaes tietojaerjestelmae

    Energy Technology Data Exchange (ETDEWEB)

    Nuortio, T. [Kuopio Univ. (Finland)

    2005-07-01

    'iWaste - Intelligent Information System for Waste Management' - was a joint project of the University of Kuopio and the Tampere University of Technology. The main objective of the project was to improve the management and use of waste management data. Also the project focused on the development of information management systems. The results of the project are numerous. A study of the present state of information management in the field of waste management was carried out. The studied aspects were for example information needs of different actors and their requirements for the information quality, communication requirements among different actors, and the characteristics and applications of the software products. The conceptual data model of waste management was developed and resulted as the hyper document for connecting waste and information management specialists, and for research and educational purposes. Also, this model can be used for the development of political regulation. Methodologies and models for processing data into information for decision making were developed. The methodologies and models include e.g. data mining techniques, prediction of waste generation and optimisation of waste pick-up and transport. (orig.)

  11. Business intelligence appliances in nuclear plant information system

    International Nuclear Information System (INIS)

    Bai Zhe; Zou Yuanhao

    2012-01-01

    With the widely use of information system, the enterprise has accumulated large amount of business data. It is urgent and complicated task to manipulate the massive and complex data collation, dig out the useful knowledge which can assist business managers and technical staff with decision-making and error analysis. At present, the business intelligence is in its initial stage in nuclear power plants (NPP), most of the plants start to show and analyze the data at the end-user interface, then go further with Data Mining gradually. By the basis of Data Warehouse. Online Analytical Processing and Data Mining technology, the data can be extracted, transformed and loaded. After the processing, the data is converted into useful information for plant managers to have different perspectives of decision-making and technical staff to analyse errors. (authors)

  12. Modeling the Structure and Effectiveness of Intelligence Organizations: Dynamic Information Flow Simulation

    National Research Council Canada - National Science Library

    Behrman, Robert; Carley, Kathleen

    2003-01-01

    This paper describes the Dynamic Information Flow Simulation (DIFS), an abstract model for analyzing the structure and function of intelligence support organizations and the activities of entities within...

  13. Ultrascalable Techniques Applied to the Global Intelligence Community Information Awareness Common Operating Picture (IA COP)

    National Research Council Canada - National Science Library

    Valdes, Alfonso; Kadte, Jim

    2005-01-01

    The focus of this research is to develop detection, correlation, and representation approaches to address the needs of the Intelligence Community Information Awareness Common Operating Picture (IA COP...

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

    National Research Council Canada - National Science Library

    Larsen, Glen

    1998-01-01

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

  15. The Role of Information and Communication Technology in Competitive Intelligence

    NARCIS (Netherlands)

    Vriens, D.J.; Vriens, D.J.

    2003-01-01

    This chapter discusses the role of ICT for competitive intelligence activities. To this end, it starts with an introduction to competitive intelligence. Next, it discusses possible uses of ICT for intelligence activities. In this discussion attention is paid to the use of the Internet, to general

  16. Grand Challenges in Music Information Research

    OpenAIRE

    Goto, Masataka

    2012-01-01

    This paper discusses some grand challenges in which music information research will impact our daily lives and our society in the future. Here, some fundamental questions are how to provide the best music for each person, how to predict music trends, how to enrich human-music relationships, how to evolve new music, and how to address environmental, energy issues by using music technologies. Our goal is to increase both attractiveness and social impacts of music information research in the fut...

  17. Instrumentation for Scientific Computing in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics.

    Science.gov (United States)

    1987-10-01

    include Security Classification) Instrumentation for scientific computing in neural networks, information science, artificial intelligence, and...instrumentation grant to purchase equipment for support of research in neural networks, information science, artificail intellignece , and applied mathematics...in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics Contract AFOSR 86-0282 Principal Investigator: Stephen

  18. The Challenge of Utilizing Information and Communication ...

    African Journals Online (AJOL)

    This paper, The Challenge of Utilizing Information and Communication Technology in Book Editing: A Study of Select Publishing Houses in Nigeria is a survey research. Two hundred and sixty (260) book editors working in the 87 NPA member firms within Ibadan and Ikeja, Lagos metropolis in Southwest Nigeria constituted ...

  19. Remote patient monitoring: Information reliability challenges

    NARCIS (Netherlands)

    Petkovic, M.

    2009-01-01

    An increasing number of extramural applications in the personal healthcare domain pose new challenges regarding the security of medical data. In this paper, we focus on remote patient monitoring systems and the issues around information reliability. In these systems medical data is not collected by

  20. Management challenges in an information communication ...

    African Journals Online (AJOL)

    Information Communication Technologies (ICTs) play an important role in reforming education. This study concentrated on the key managerial challenges to leaders when faced with introducing, accepting and managing new technology in their schools. The purpose of the study was to describe the management approach ...

  1. Science and Information Conference 2013 : Intelligent Systems for Science and Information

    CERN Document Server

    Kapoor, Supriya; Bhatia, Rahul

    2014-01-01

    The book Intelligent Systems for Science and Information is the remarkable collection of extended chapters from the selected papers that were published in the proceedings of Science and Information (SAI) Conference 2013. It contains twenty-four chapters in the field of Intelligent Systems, which received highly recommended feedback during SAI Conference 2013 review process. All chapters have gone through substantial extension and consolidation and were subject to another round of rigorous review and additional modification. These chapters represent the state of the art of the cutting-edge research and technologies in related areas, and can help inform relevant research communities and individuals of the future development in Science and Information.    

  2. Intelligent use of buildings' energy information

    Energy Technology Data Exchange (ETDEWEB)

    Ala-Juusela, M., Email: mia.ala-juusela@vtt.fi

    2012-06-15

    The IntUBE project will increase the possibility of reaching the European Commission's energy efficiency goals by facilitating more efficient use of the existing building stock. IntUBE stands for Intelligent Use of Buildings' Energy Information. The results of the IntUBE-project are expected not only to enhance the comfort levels of building users, but also to reduce overall energy costs through better energy efficiency. The IntUBE project was a European cooperation between twelve partners from nine European countries and received funding from the European Commission. The project was implemented between May 2009 and April 2011. The IntUBE consortium spans key research partners from northern to southern Europe including SMEs committed to exploiting the results of the project. The project was coordinated by VTT. (orig.)

  3. Increasing consumerism in healthcare through intelligent information technology.

    Science.gov (United States)

    Cohen, Seth B; Grote, Kurt D; Pietraszek, Wayne E; Laflamme, Francois

    2010-12-01

    In healthcare, consumerism is not a product or program. Instead, it is an orientation to new care delivery models that encourage and enable greater patient responsibility through the intelligent use of information technology. Despite the promise of consumerism, current approaches have not fully realized the potential benefits of improved outcomes and lower cost. We recommend 4 guiding principles to ensure that next-generation innovation yields the returns that providers, patients, and other stakeholders expect: (1) keep the consumer at the center of innovation, (2) keep it simple, (3) link products and services to a broader "ecosystem" of care, and (4) encourage health in addition to treating illness. Now may be a particularly compelling time to invest in a consumerist approach.

  4. Pluralism--With Intelligence: A Challenge to Education and Society.

    Science.gov (United States)

    Brown, Arthur

    With the rise of absolutism and determinism, conformity--the conformity generated by bureaucratized social institutions, entrenched economic and political interests, monopolized sources of information, and moral majoritarianism--has begun to pose a major threat to democratic community in America. This paper focuses on the conceptual relationships…

  5. Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success.

    Science.gov (United States)

    Thrall, James H; Li, Xiang; Li, Quanzheng; Cruz, Cinthia; Do, Synho; Dreyer, Keith; Brink, James

    2018-03-01

    Worldwide interest in artificial intelligence (AI) applications, including imaging, is high and growing rapidly, fueled by availability of large datasets ("big data"), substantial advances in computing power, and new deep-learning algorithms. Apart from developing new AI methods per se, there are many opportunities and challenges for the imaging community, including the development of a common nomenclature, better ways to share image data, and standards for validating AI program use across different imaging platforms and patient populations. AI surveillance programs may help radiologists prioritize work lists by identifying suspicious or positive cases for early review. AI programs can be used to extract "radiomic" information from images not discernible by visual inspection, potentially increasing the diagnostic and prognostic value derived from image datasets. Predictions have been made that suggest AI will put radiologists out of business. This issue has been overstated, and it is much more likely that radiologists will beneficially incorporate AI methods into their practices. Current limitations in availability of technical expertise and even computing power will be resolved over time and can also be addressed by remote access solutions. Success for AI in imaging will be measured by value created: increased diagnostic certainty, faster turnaround, better outcomes for patients, and better quality of work life for radiologists. AI offers a new and promising set of methods for analyzing image data. Radiologists will explore these new pathways and are likely to play a leading role in medical applications of AI. Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

  6. 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)…

  7. Intelligence

    Science.gov (United States)

    Sternberg, Robert J.

    2012-01-01

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

  8. 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.

  9. IQARIS : a tool for the intelligent querying, analysis, and retrieval from information systems

    International Nuclear Information System (INIS)

    Hummel, J. R.; Silver, R. B.

    2002-01-01

    Information glut is one of the primary characteristics of the electronic age. Managing such large volumes of information (e.g., keeping track of the types, where they are, their relationships, who controls them, etc.) can be done efficiently with an intelligent, user-oriented information management system. The purpose of this paper is to describe a concept for managing information resources based on an intelligent information technology system developed by the Argonne National Laboratory for managing digital libraries. The Argonne system, Intelligent Query (IQ), enables users to query digital libraries and view the holdings that match the query from different perspectives

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

    Science.gov (United States)

    2012-09-01

    Initiative NYFD New York Fire Department NYPD New York Police Department OLAP On Line Analytics Processing OSINT Open Source Intelligence...Intelligence ( OSINT ), from public websites, media sources, and other unclassified events and reports. Although some of these sources do not have a direct

  11. Information management challenges of the EOS Data and Information System

    Science.gov (United States)

    Mcdonald, Kenneth R.; Blake, Deborah J.

    1991-01-01

    An overview of the current information management concepts that are embodied in the plans for the Earth Observing System Data and Information System (EOSDIS) is presented, and some of the technology development and application areas that are envisioned to be particularly challenging are introduced. The Information Management System (IMS) is the EOSDIS element that provides the primary interface between the science users and the data products and services of EOSDIS. The goals of IMS are to define a clear and complete set of functional requirements and to apply innovative methods and technologies to satisfy them. The information management functions are described in detail, and some applicable technolgies are discussed. Some of the general issues affecting the successful development and operation of the information management element are addressed.

  12. Open Source Intelligence - Doctrine's Neglected Child

    National Research Council Canada - National Science Library

    Pham, Tuan

    2003-01-01

    .... The causes of this neglect are many, ranging from previously mentioned predisposition toward classified intelligence sources to the technical challenge of information excess that overloads the users...

  13. 1st International Scientific Conference on Intelligent Information Technologies for Industry

    CERN Document Server

    Kovalev, Sergey; Tarassov, Valery; Snášel, Václav

    2016-01-01

    This volume of Advances in Intelligent Systems and Computing contains papers presented in the main track of IITI 2016, the First International Conference on Intelligent Information Technologies for Industry held in May 16-21 in Sochi, Russia. The conference was jointly co-organized by Rostov State Transport University (Russia) and VŠB – Technical University of Ostrava (Czech Republic) with the participation of Russian Association for Artificial Intelligence (RAAI) and Russian Association for Fuzzy Systems and Soft Computing (RAFSSC). The volume is devoted to practical models and industrial applications related to intelligent information systems. The conference has been a meeting point for researchers and practitioners to enable the implementation of advanced information technologies into various industries. Nevertheless, some theoretical talks concerning the-state-of-the-art in intelligent systems and soft computing are included in the proceedings as well.

  14. Intelligent Traffic Information System a Real-Time Traffic Information System on the Shiraz Bypass

    Directory of Open Access Journals (Sweden)

    Sodagaran Amir

    2016-01-01

    Full Text Available Real-time traffic information system is an Intelligent Transportation System (ITS that allows commuters to make their traveling plan better. In this regard, an intelligent and real-time traffic information system was developed based on the video detection and an image processing algorithm was applied to measure traffic-flow according to the average speed of vehicles. Then, traffic status of each pass way is broadcasted to the electronic boards installed on all decision making entrance / exit. Different levels of congestion related to the routes ahead are shown on the boards with different colors in order to assist commuters. This system was implemented on the Shiraz Dry River’s bypasses which account as vital routes to moderate traffic of city center. Experimental results are promising due to the proximity of determined traffic status by the system compared to the detection done by traffic experts. Average speed improvement is another result of using this system. This intelligent system developed and implemented in Shiraz city for the first time in Iran.s.

  15. Quantitative Study of Emotional Intelligence and Communication Levels in Information Technology Professionals

    Science.gov (United States)

    Hendon, Michalina

    2016-01-01

    This quantitative non-experimental correlational research analyzes the relationship between emotional intelligence and communication due to the lack of this research on information technology professionals in the U.S. One hundred and eleven (111) participants completed a survey that measures both the emotional intelligence and communication…

  16. Effects of Audio-Visual Information on the Intelligibility of Alaryngeal Speech

    Science.gov (United States)

    Evitts, Paul M.; Portugal, Lindsay; Van Dine, Ami; Holler, Aline

    2010-01-01

    Background: There is minimal research on the contribution of visual information on speech intelligibility for individuals with a laryngectomy (IWL). Aims: The purpose of this project was to determine the effects of mode of presentation (audio-only, audio-visual) on alaryngeal speech intelligibility. Method: Twenty-three naive listeners were…

  17. A Study of Security Awareness Information Delivery within the Defense Intelligence Community

    Science.gov (United States)

    Krasley, Paul F.

    2011-01-01

    Due to limited resources and inconsistent guidance from the U.S. Federal Government, Department of Defense, and multiple environments within the intelligence community, the defense intelligence agencies each developed their own methods to deliver security awareness information. These multiple delivery methods may be providing different levels of…

  18. An Intelligent Information System for forest management: NED/FVS integration

    Science.gov (United States)

    J. Wang; W.D. Potter; D. Nute; F. Maier; H. Michael Rauscher; M.J. Twery; S. Thomasma; P. Knopp

    2002-01-01

    An Intelligent Information System (IIS) is viewed as composed of a unified knowledge base, database, and model base. This allows an IIS to provide responses to user queries regardless of whether the query process involves a data retrieval, an inference, a computational method, a problem solving module, or some combination of these. NED-2 is a full-featured intelligent...

  19. Arterial intelligent transportation systems : infrastructure elements and traveler information requirements.

    Science.gov (United States)

    2009-08-01

    Applying Intelligent Transportation Systems (ITS) to arterial systems allows TxDOT to significantly enhance : transportation system operation efficiency and improve traffic mobility. However, no guidelines are available to : assist TxDOT staff in sel...

  20. Information Processing and Coaching Treatments in an Intelligent Tutoring System

    National Research Council Canada - National Science Library

    Dillon, Ronna

    1997-01-01

    The purpose of this effort was to develop an intelligent tutoring system (ITS) to train test administrators how to operate computerized adaptive testing Armed Services Vocational Aptitude Battery (CAT-ASVAB...

  1. Intelligent Information Retrieval: Diagnosing Information Need. Part II. Uncertainty Expansion in a Prototype of a Diagnostic IR Tool.

    Science.gov (United States)

    Cole, Charles; Cantero, Pablo; Sauve, Diane

    1998-01-01

    Outlines a prototype of an intelligent information-retrieval tool to facilitate information access for an undergraduate seeking information for a term paper. Topics include diagnosing the information need, Kuhlthau's information-search-process model, Shannon's mathematical theory of communication, and principles of uncertainty expansion and…

  2. Advances in intelligent process-aware information systems concepts, methods, and technologies

    CERN Document Server

    Oberhauser, Roy; Reichert, Manfred

    2017-01-01

    This book provides a state-of-the-art perspective on intelligent process-aware information systems and presents chapters on specific facets and approaches applicable to such systems. Further, it highlights novel advances and developments in various aspects of intelligent process-aware information systems and business process management systems. Intelligence capabilities are increasingly being integrated into or created in many of today’s software products and services. Process-aware information systems provide critical computing infrastructure to support the various processes involved in the creation and delivery of business products and services. Yet the integration of intelligence capabilities into process-aware information systems is a non-trivial yet necessary evolution of these complex systems. The book’s individual chapters address adaptive process management, case management processes, autonomically-capable processes, process-oriented information logistics, process recommendations, reasoning over ...

  3. Information systems in logistics - transition challenges

    Directory of Open Access Journals (Sweden)

    Nikolay Dragomirov

    2016-03-01

    Full Text Available The implementation of information systems in business organizations does not consist of just buying software products and installing them on the servers. Most of these systems are important for the development of the organizations concerned and in some cases are very expensive. Therefore, their success requires a properly managed process of implementation, which seeks a balance between the aims of the systems and the financial and technical capabilities of the organization. The implementation problem becomes greater when the emphasis is on the logistics function in the context of the supply chain management. Last, but not least, these initiatives are related to something much more challenging, namely the adoption of the new information system by the users, which involves a change of habits in the organization. It is no secret that a new system may be rejected by its users and this will make it useless. All this requires finding adequate solutions to analyze these problems and to ensure the effective use of information systems in logistics.

  4. Artificial Intelligence and the Future of Education: Big Promises-Bigger Challenges%Artificial Intelligence and the Future of Education:Big Promises-Bigger Challenges

    Institute of Scientific and Technical Information of China (English)

    Jonathan Michael Spector; Du Jing

    2017-01-01

    The history of educational technology in the last 50 years contains few instances of dramatic improvements in learning based on the adoption of a particular technology.An example involving artificial intelligence occurred in the 1990s with the development of intelligent tutoring systems (ITSs).What happened with ITSs was that their success was limited to well-defined and relatively simple declarative and procedural leaming tasks (e.g.,learning how to write a recursive function in LISP;doing multi-column addition),and improvements that were observed tended to be more limited than promised (e.g.,one standard deviation improvement at best rather than the promised standard deviation improvement).Still,there was some progress in terms of how to conceptualize learning.A seldom documented limitation was the notion of only viewing learning from only content and cognitive perspectives (i.e.,in terms of memory limitations,prior knowledge,bug libraries,learning hierarchies and sequences etc.).Little attention was paid to education conceived more broadly than developing specific cognitive skills with highly constrained problems.New technologies offer the potential to create dynamic and multi-dimensional models of a particular leamer,and to track large data sets of learning activities,resources,interventions,and outcomes over a great many leamers.Using those data to personalize learning for a particular leamer developing knowledge,competence and understanding in a specific domain of inquiry is finally a real possibility.While the potential to make significant progress is clearly possible,the reality is less not so promising.There are many as yet unmet challenging some of which will be mentioned in this paper.A persistent worry is that educational technologists and computer scientists will again promise too much,too soon at too little cost and with too little effort and attention to the realities in schools and universities.

  5. Intelligence and Information-Sharing Elements of S.4 and H.R. 1

    National Research Council Canada - National Science Library

    Masse, Todd

    2007-01-01

    Title I of S.4 and Title VII of H.R. 1 include corresponding measures related to enhancing information and intelligence sharing, both horizontally within the Federal Government and vertically between the Federal Government and state...

  6. Intelligent tools for building a scientific information platform from research to implementation

    CERN Document Server

    Skonieczny, Łukasz; Rybiński, Henryk; Kryszkiewicz, Marzena; Niezgódka, Marek

    2014-01-01

    This book is a selection of results obtained within three years of research performed under SYNAT—a nation-wide scientific project aiming at creating an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland. The book is intended to be the last of the series related to the SYNAT project. The previous books, titled “Intelligent Tools for Building a Scientific Information Platform” and “Intelligent Tools for Building a Scientific Information Platform: Advanced Architectures and Solutions”, were published as volumes 390 and 467 in Springer's Studies in Computational Intelligence. Its contents is based on the SYNAT 2013 Workshop held in Warsaw. The papers included in this volume present an overview and insight into information retrieval, repository systems, text processing, ontology-based systems, text mining, multimedia data processing and advanced software engineering, addressing the problems of implementing intelligent tools for building...

  7. Challenges and solutions for installing an intelligent completion in offshore deepwater Brazil

    Energy Technology Data Exchange (ETDEWEB)

    Reyes, Alfonso R. [WellDynamics, Spring, TX (United States); Arias, Jose Luiz [PETROBRAS, Rio de Janeiro, RJ (Brazil)

    2004-07-01

    This paper describes an atypical and challenging Intelligent Well Completion (IWC) installed in ultra deep water (1500-2000 m), offshore Brazil. The well is a water injector designed to selectively control the injection flow rate in to two stacked gravel pack zones. The field is Roncador, approximately 150 kilometers offshore the North-Eastern coast of the state of Rio de Janeiro, Brazil. This application is an atypical IWC due to the long distance ({approx}15 Km) from the production platform to the well. Intelligent wells have been installed at such distances previously but never with a direct control umbilical. Previous completions used a Subsea Control Module (SCM) or pod located in the wellhead. Reduced intervention costs are the typical driver for IWC in deep water applications, but water management is becoming an increasingly common application. The Roncador field development team has taken a novel approach by using IWC to manage water injection in an ultra deep water development. The challenge for the project team was to design an IWC system, which would accommodate the field infrastructure constraint, require minimal modification to the existing subsea hardware and ensure the necessary flexibility to locate surface equipment without the need for modification to the production facilities. The solution adopted for Roncador 35 is mainly based on an emerging ISO standard for the integration of IWC into Subsea Production Systems. The modular and expandable approach will enable extension of this solution to other wells in the Roncador field. (author)

  8. Cognitive Connected Vehicle Information System Design Requirement for Safety: Role of Bayesian Artificial Intelligence

    Directory of Open Access Journals (Sweden)

    Ata Khan

    2013-04-01

    Full Text Available Intelligent transportation systems (ITS are gaining acceptance around the world and the connected vehicle component of ITS is recognized as a high priority research and development area in many technologically advanced countries. Connected vehicles are expected to have the capability of safe, efficient and eco-driving operations whether these are under human control or in the adaptive machine control mode of operations. The race is on to design the capability to operate in connected traffic environment. The operational requirements can be met with cognitive vehicle design features made possible by advances in artificial intelligence-supported methodology, improved understanding of human factors, and advances in communication technology. This paper describes cognitive features and their information system requirements. The architecture of an information system is presented that supports the features of the cognitive connected vehicle. For better focus, information processing capabilities are specified and the role of Bayesian artificial intelligence is defined for data fusion. Example applications illustrate the role of information systems in integrating intelligent technology, Bayesian artificial intelligence, and abstracted human factors. Concluding remarks highlight the role of the information system and Bayesian artificial intelligence in the design of a new generation of cognitive connected vehicle.

  9. Capability Challenges in the Human Domain for Intelligence Analysis: Report on Community-Wide Discussions with Canadian Intelligence Professionals

    Science.gov (United States)

    2012-03-01

    consultation ont discuté avec des membres de la collectivité canadienne du renseignement. Cette recherche repose sur une étude antérieure d’un petit...community); − Conduct social network analysis research of the intelligence community to identify any gaps in collaboration; 10.2.2 - Developing a...DRDC Toronto. Fischhoff, B., & Chauvin, C. (Eds.). (2011). Intelligence Analysis: Behavioral and Social Scientific Foundations (Committee on

  10. 4th INNS Symposia Series on Computational Intelligence in Information Systems

    CERN Document Server

    Au, Thien

    2015-01-01

    This book constitutes the refereed proceedings of the Fourth International Neural Network Symposia series on Computational Intelligence in Information Systems, INNS-CIIS 2014, held in Bandar Seri Begawan, Brunei in November 2014. INNS-CIIS aims to provide a platform for researchers to exchange the latest ideas and present the most current research advances in general areas related to computational intelligence and its applications in various domains. The 34 revised full papers presented in this book have been carefully reviewed and selected from 72 submissions. They cover a wide range of topics and application areas in computational intelligence and informatics.  

  11. Handling Vagueness as an Intelligent Component of a Materials Information System.

    Science.gov (United States)

    Schudnagis, Monika; Womser-Hacker, Christa

    1996-01-01

    Discusses vagueness as a problem of materials information system development in the context of information retrieval within the paradigm of information science. Presents a prototype which combines an object-oriented graphical user interface with natural language feedback and correction functionality, as well as intelligent components for graphical…

  12. A model of strategic intelligence of industrial property information and in the field of clean energy; Un modelo de inteligencia estrategica de la informacion y propiedad industrial en el campo de las energias limpias

    Energy Technology Data Exchange (ETDEWEB)

    Fuente O' Conor, J. L. de la

    2011-07-01

    In this article, the model Intelligence Cell, as an Internet based strategic intelligence element for the management of interim key information of a company, is presented. The model has been profusely tested for technology watch, economic intelligence, and competitive intelligence related purposes within a general framework of technology deployment in a clean and renewable focused innovation department. As a practical example, is proposed, step by step, how to launch a fully operative specialized cell for analyzing how to deal with electric mobility, battery technologies and electric car issues so that challenges, opportunities, and threats can be tracked and anticipated so that a business strategy might be established. (Author) 8 refs.

  13. Business intelligence and mobile technology research an information systems engineering perspective

    CERN Document Server

    Laouar, Mohamed Ridda

    2014-01-01

    All business organizations strive for increasing their growth by seizing new opportunities, reducing enterprise costs, attracting new customers and retaining old customers. In doing so, business intelligence and analytics allow business organizations to make better plans, informed decisions, and monitor their progress towards planned goals and objectives. The more disruptive power of IT technologies comes synergistically. Individual IT technologies do not work in isolation. Business intellige...

  14. The 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies

    Science.gov (United States)

    Hostetter, Carl F. (Editor)

    1995-01-01

    This publication comprises the papers presented at the 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies held at the NASA/Goddard Space Flight Center, Greenbelt, Maryland, on May 9-11, 1995. The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed.

  15. The Development of Financial Information System and Business Intelligence Using Data Mining Concepts

    OpenAIRE

    PVD PRASAD

    2014-01-01

    One of the most emerging technologies is finance, becoming more amenable to data-driven modeling as large sets of financial data become available everywhere. So we are applying the data mining techniques in financial information system with Business Intelligence. A Business Intelligence System (BIS) can be described as an interactive, computer-based system designed to help decision-makers to solve unstructured problems. Using a combination of models, analytical techniques, and...

  16. Knowledge structure representation and automated updates in intelligent information management systems

    Science.gov (United States)

    Corey, Stephen; Carnahan, Richard S., Jr.

    1990-01-01

    A continuing effort to apply rapid prototyping and Artificial Intelligence techniques to problems associated with projected Space Station-era information management systems is examined. In particular, timely updating of the various databases and knowledge structures within the proposed intelligent information management system (IIMS) is critical to support decision making processes. Because of the significantly large amounts of data entering the IIMS on a daily basis, information updates will need to be automatically performed with some systems requiring that data be incorporated and made available to users within a few hours. Meeting these demands depends first, on the design and implementation of information structures that are easily modified and expanded, and second, on the incorporation of intelligent automated update techniques that will allow meaningful information relationships to be established. Potential techniques are studied for developing such an automated update capability and IIMS update requirements are examined in light of results obtained from the IIMS prototyping effort.

  17. Intelligent tools for building a scientific information platform advanced architectures and solutions

    CERN Document Server

    Skonieczny, Lukasz; Rybinski, Henryk; Kryszkiewicz, Marzena; Niezgodka, Marek

    2013-01-01

    This book is a selection of results obtained within two years of research per- formed under SYNAT - a nation-wide scientific project aiming at creating an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland. The selection refers to the research in artificial intelligence, knowledge discovery and data mining, information retrieval and natural language processing, addressing the problems of implementing intelligent tools for building a scientific information platform.This book is a continuation and extension of the ideas presented in “Intelligent Tools for Building a Scientific Information Platform” published as volume 390 in the same series in 2012. It is based on the SYNAT 2012 Workshop held in Warsaw. The papers included in this volume present an overview and insight into information retrieval, repository systems, text processing, ontology-based systems, text mining, multimedia data processing and advanced software engineering.  

  18. Computational intelligence in wireless sensor networks recent advances and future challenges

    CERN Document Server

    Falcon, Rafael; Koeppen, Mario

    2017-01-01

    This book emphasizes the increasingly important role that Computational Intelligence (CI) methods are playing in solving a myriad of entangled Wireless Sensor Networks (WSN) related problems. The book serves as a guide for surveying several state-of-the-art WSN scenarios in which CI approaches have been employed. The reader finds in this book how CI has contributed to solve a wide range of challenging problems, ranging from balancing the cost and accuracy of heterogeneous sensor deployments to recovering from real-time sensor failures to detecting attacks launched by malicious sensor nodes and enacting CI-based security schemes. Network managers, industry experts, academicians and practitioners alike (mostly in computer engineering, computer science or applied mathematics) benefit from the spectrum of successful applications reported in this book. Senior undergraduate or graduate students may discover in this book some problems well suited for their own research endeavors. USP: Presents recent advances and fu...

  19. Information, intelligence, and interface: the pillars of a successful medical information system.

    Science.gov (United States)

    Hadzikadic, M; Harrington, A L; Bohren, B F

    1995-01-01

    This paper addresses three key issues facing developers of clinical and/or research medical information systems. 1. INFORMATION. The basic function of every database is to store information about the phenomenon under investigation. There are many ways to organize information in a computer; however only a few will prove optimal for any real life situation. Computer Science theory has developed several approaches to database structure, with relational theory leading in popularity among end users [8]. Strict conformance to the rules of relational database design rewards the user with consistent data and flexible access to that data. A properly defined database structure minimizes redundancy i.e.,multiple storage of the same information. Redundancy introduces problems when updating a database, since the repeated value has to be updated in all locations--missing even a single value corrupts the whole database, and incorrect reports are produced [8]. To avoid such problems, relational theory offers a formal mechanism for determining the number and content of data files. These files not only preserve the conceptual schema of the application domain, but allow a virtually unlimited number of reports to be efficiently generated. 2. INTELLIGENCE. Flexible access enables the user to harvest additional value from collected data. This value is usually gained via reports defined at the time of database design. Although these reports are indispensable, with proper tools more information can be extracted from the database. For example, machine learning, a sub-discipline of artificial intelligence, has been successfully used to extract knowledge from databases of varying size by uncovering a correlation among fields and records[1-6, 9]. This knowledge, represented in the form of decision trees, production rules, and probabilistic networks, clearly adds a flavor of intelligence to the data collection and manipulation system. 3. INTERFACE. Despite the obvious importance of collecting

  20. Intelligent systems for urban search and rescue: challenges and lessons learned

    Science.gov (United States)

    Jacoff, Adam; Messina, Elena; Weiss, Brian A.

    2003-09-01

    Urban search and rescue (USAR) is one of the most dangerous and time-critical non-wartime activities. Researchers have been developing hardware and software to enable robots to perform some search and rescue functions so as to minimize the exposure of human rescue personnel to danger and maximize the survival of victims. Significant progress has been achieved, but much work remains. USAR demands a blending of numerous specialized technologies. An effective USAR robot must be endowed with key competencies, such as being able to negotiate collapsed structures, find victims and assess their condition, identify potential hazards, generate maps of the structure and victim locations, and communicate with rescue personnel. These competencies bring to bear work in numerous sub-disciplines of intelligent systems (or artificial intelligence) such as sensory processing, world modeling, behavior generation, path planning, and human-robot interaction, in addition to work in communications, mechanism design and advanced sensors. In an attempt to stimulate progress in the field, reference USAR challenges are being developed and propagated worldwide. In order to make efficient use of finite research resources, the robotic USAR community must share a common understanding of what is required, technologically, to attain each competency, and have a rigorous measure of the current level of effectiveness of various technologies. NIST is working with partner organizations to measure the performance of robotic USAR competencies and technologies. In this paper, we describe the reference test arenas for USAR robots, assess the current challenges within the field, and discuss experiences thus far in the testing effort.

  1. A Retrospective and Prospective View of Information Retrieval and Artificial Intelligence in the 21st Century.

    Science.gov (United States)

    Garfield, Eugene

    2001-01-01

    Traces the development of information retrieval/services and suggests that the creation of large digital libraries seems inevitable. Examines possibilities for increasing electronic access and the role of artificial intelligence. Highlights include: searching full text; sending full texts; selective dissemination of information (SDI) profiling and…

  2. Artificial Intelligence and Expert Systems Research and Their Possible Impact on Information Science.

    Science.gov (United States)

    Borko, Harold

    1985-01-01

    Defines artificial intelligence (AI) and expert systems; describes library applications utilizing AI to automate creation of document representations, request formulations, and design and modify search strategies for information retrieval systems; discusses expert system development for information services; and reviews impact of these…

  3. Intelligent Technologies in Library and Information Service Applications. ASIST Monograph Series.

    Science.gov (United States)

    Lancaster, F. W.; Warner, Amy

    The objective of this study was to gain enough familiarity with developments in artificial intelligence (AI) and related technologies to be able to advise the information service community on what can be applied today and what one might reasonably expect to be applicable to library and information services in the near future. The emphasis is on…

  4. Getting Competitive: Competitive Intelligence Is a Smart next Step for Information Pros

    Science.gov (United States)

    Correia, Cynthia Cheng

    2006-01-01

    Competitive Intelligence (CI) has become an attractive concept for Library and Information Science professionals, as information and research functions have become commoditized by end users, and financial, competitive, and performance pressures increase the need to demonstrate value. In the current competitive and cost-cutting environment,…

  5. The Impact of the Information Revolution on Policymakers’ Use of Intelligence Analysis

    Science.gov (United States)

    2005-01-01

    Revolution on the Market for Information The major effect of this explosion in technology is the proliferation of information consumers and providers. Their... technology . The State Department gives its policymakers the least connectivity to any real time or electronic information as its officials lack Internet ...connectivity than others to the intelligence community, as well as to the Internet and other sources of information age open sources. This will have a profound

  6. Relational information in medicine: a challenge

    International Nuclear Information System (INIS)

    Bolboaca, S.; Cadariu, A.; Jaentschi, L.

    2005-01-01

    Nowadays, a sizable amount of information is available in all areas medical domain including radiology. An important provocation is represented by the organization of these huge amounts of medical information, tasks that are essential in order to be used. The present paper presents a proposal of a relational structure for the organization of medical information using key terms and a Visual Fox Pro application for structure management

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

    Science.gov (United States)

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

    2013-11-01

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

  8. More Media, More People—On Social & Multimodal Media Intelligence

    OpenAIRE

    Degerstedt, Lars; Pelle, Snickars

    2017-01-01

    The purpose of this article is to address some challenges facing media intelligence in general, and competitive intelligence in particular within an altered information landscape. To understand this new situation, the notion of social and multimodal media intelligence are introduced. With cases taken primarily from the Swedish media intelligence sector, we argue that data driven media intelligence today needs to pay increasing attention to new forms of (A.) crowd-oriented and (B.) multimedia-...

  9. Locating the information: technologies and challenges

    NARCIS (Netherlands)

    Kilic, Y.; Meijerink, Arjan; Bentum, Marinus Jan

    2011-01-01

    In today’s world the demand for information is growing rapidly due to the human curiosity to explore the inside and the outside of our planet. In a simple analogy, the human body has thousands of “sensors‿, called receptor neurons, to obtain information such as temperature or pressure from the

  10. Potential and Challenges of Web-based Collective Intelligence to Tackle Societal Problems

    Directory of Open Access Journals (Sweden)

    Birutė Pitrėnaitė-Žilėnienė

    2014-03-01

    Full Text Available Purpose – to research what are conditions and challenges for collective intelligence (hereinafter – CI, i.e., emerging applying social technologies, to tackle societal problems. Several objectives were set in order to achieve the goal: to analyze the scientific concepts of CI and its contents; to summarize possibilities and challenges of application of CI in largescale online argumentation; following theoretical attitudes towards CI, to analyze Lithuanian praxis of application of CI technologies in large-scale online argumentation.Methodology – the methods of document analysis and content analysis of virtual community projects were applied. Theoretical analysis enabled recognition of CI phenomena and the variety of interpretations on CI as well as preconditions and difficulties to be tackled in order to ensure effective application of CI technologies in the processes of different policies design and/or societal problem solving. Having theoretical analysis as a base, the authors researched how the theoretical frameworks correspond to practices of Lithuanian virtual community projects, which are oriented to identification and analysis of relevant problems that communities are facing.Findings – scientific documents analysis demonstrates the variety of possible interpretations of CI. Such interpretations depend on the researcher’s attitudes towards this phenomenon: some authors explain CI in a very broad sense not including the aspects of social technologies. However, in the last decades, with the emergence of the Internet, social technologies have become concurrent dimension of CI. The main principles of Web-based CI are geographically spread users and a big number of them. Materialization of these principles ensures variety of elements needed for emerging of CI. There are diverse web-based mediums, where CI is being developed. However, not all of them ensure collective action, which is obligatory for CI. Researchers have analyzed

  11. Communication and Artificial Intelligence: Opportunities and Challenges for the 21st Century

    Directory of Open Access Journals (Sweden)

    David J. Gunkel

    2012-08-01

    Full Text Available This essay advocates for a significant reorientation and reconceptualization of communication studies in order to accommodate the opportunities and challenges introduced by increasingly intelligent machines, autonomous decision making systems, and smart devices. Historically the discipline of communication has accommodated new technology by transforming these innovations into a medium of human interaction and message exchange. With the computer, this transaction is particularly evident with the development of computer-mediated communication (CMC in the later half of the 20th century. In CMC, the computer is understood and investigated as a more-or-less neutral channel of message transfer and instrument of human interaction. This formalization, although not necessarily incorrect, neglects the fact that the computer, unlike previous technological advancements, also occupies the position of participant in communicative exchanges. Evidence of this is already available in the science of AI and has been explicitly described by some of the earliest writings on communication and the computer. The essay therefore 1 demonstrates that the CMC paradigm, although undeniably influential and successful, is insufficient and no longer tenable and 2 argues that communication studies needs to rework its basic framework in order to address and respond to the unique technological challenges and opportunities of the 20th century.

  12. Computational intelligence in gait research: a perspective on current applications and future challenges.

    Science.gov (United States)

    Lai, Daniel T H; Begg, Rezaul K; Palaniswami, Marimuthu

    2009-09-01

    Our mobility is an important daily requirement so much so that any disruption to it severely degrades our perceived quality of life. Studies in gait and human movement sciences, therefore, play a significant role in maintaining the well-being of our mobility. Current gait analysis involves numerous interdependent gait parameters that are difficult to adequately interpret due to the large volume of recorded data and lengthy assessment times in gait laboratories. A proposed solution to these problems is computational intelligence (CI), which is an emerging paradigm in biomedical engineering most notably in pathology detection and prosthesis design. The integration of CI technology in gait systems facilitates studies in disorders caused by lower limb defects, cerebral disorders, and aging effects by learning data relationships through a combination of signal processing and machine learning techniques. Learning paradigms, such as supervised learning, unsupervised learning, and fuzzy and evolutionary algorithms, provide advanced modeling capabilities for biomechanical systems that in the past have relied heavily on statistical analysis. CI offers the ability to investigate nonlinear data relationships, enhance data interpretation, design more efficient diagnostic methods, and extrapolate model functionality. These are envisioned to result in more cost-effective, efficient, and easy-to-use systems, which would address global shortages in medical personnel and rising medical costs. This paper surveys current signal processing and CI methodologies followed by gait applications ranging from normal gait studies and disorder detection to artificial gait simulation. We review recent systems focusing on the existing challenges and issues involved in making them successful. We also examine new research in sensor technologies for gait that could be combined with these intelligent systems to develop more effective healthcare solutions.

  13. 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

  14. Curriculum integrated information literacy: a challenge

    DEFF Research Database (Denmark)

    Bønløkke, Mette; Kobow, Else; Kristensen, Anne-Kirstine Østergaard

    2012-01-01

    Information literacy is a competence needed for students and for practitioners in the nursing profession. A curriculum integrated intervention was qualitatively evaluated by focus group interviews of students, lecturers and the university librarian. Information literacy makes sense for students...... when it is linked to assignments, timed right, prepared, systematic and continuous. Support is needed to help students understand the meaning of seeking information, to focus their problem and to make them reflect on their search and its results. Feedback on materials used is also asked for...

  15. 3rd International Conference on INformation Systems Design and Intelligent Applications

    CERN Document Server

    Mandal, Jyotsna; Udgata, Siba; Bhateja, Vikrant

    2016-01-01

    The third international conference on INformation Systems Design and Intelligent Applications (INDIA – 2016) held in Visakhapatnam, India during January 8-9, 2016. The book covers all aspects of information system design, computer science and technology, general sciences, and educational research. Upon a double blind review process, a number of high quality papers are selected and collected in the book, which is composed of three different volumes, and covers a variety of topics, including natural language processing, artificial intelligence, security and privacy, communications, wireless and sensor networks, microelectronics, circuit and systems, machine learning, soft computing, mobile computing and applications, cloud computing, software engineering, graphics and image processing, rural engineering, e-commerce, e-governance, business computing, molecular computing, nano-computing, chemical computing, intelligent computing for GIS and remote sensing, bio-informatics and bio-computing. These fields are not...

  16. 2nd International Conference on INformation Systems Design and Intelligent Applications

    CERN Document Server

    Satapathy, Suresh; Sanyal, Manas; Sarkar, Partha; Mukhopadhyay, Anirban

    2015-01-01

    The second international conference on INformation Systems Design and Intelligent Applications (INDIA – 2015) held in Kalyani, India during January 8-9, 2015. The book covers all aspects of information system design, computer science and technology, general sciences, and educational research. Upon a double blind review process, a number of high quality papers are selected and collected in the book, which is composed of two different volumes, and covers a variety of topics, including natural language processing, artificial intelligence, security and privacy, communications, wireless and sensor networks, microelectronics, circuit and systems, machine learning, soft computing, mobile computing and applications, cloud computing, software engineering, graphics and image processing, rural engineering, e-commerce, e-governance, business computing, molecular computing, nano computing, chemical computing, intelligent computing for GIS and remote sensing, bio-informatics and bio-computing. These fields are not only ...

  17. ICT solutions in intelligent organizations as challenges in a knowledge economy

    Directory of Open Access Journals (Sweden)

    Adamczewski Piotr

    2016-12-01

    Full Text Available Solutions of the Information and Communication Technology (ICT are the foundation of modern economic organizations in a knowledge economy. This is the case in particular in intelligent organizations, for which the advanced ICT infrastructure is the sine qua non condition for the effective knowledge management. This article is aimed at describing the role of modern ICT trends, which are described as SMAC, (Social, Mobility, Analytics, Cloud, and are becoming an essential ICT element supporting management processes. Such solutions enable to create new models of organization operations on the global markets using strategic resources, such as the knowledge supported with SMAC solutions. The arguments are illustrated with results of own research conducted by the author in 2014-2016 in selected SME’s from the Mazowieckie and Wielkopolskie rovinces and their reference to the general development trends in this area.

  18. Design and Application of an Intelligent Agent for Web Information Discovery

    Institute of Scientific and Technical Information of China (English)

    闵君; 冯珊; 唐超; 许立达

    2003-01-01

    With the propagation of applications on the internet, the internet has become a great information source which supplies users with valuable information. But it is hard for users to quickly acquire the right information on the web. This paper an intelligent agent for internet applications to retrieve and extract web information under user's guidance. The intelligent agent is made up of a retrieval script to identify web sources, an extraction script based on the document object model to express extraction process, a data translator to export the extracted information into knowledge bases with frame structures, and a data reasoning to reply users' questions. A GUI tool named Script Writer helps to generate the extraction script visually, and knowledge rule databases help to extract wanted information and to generate the answer to questions.

  19. Intelligent Information Fusion in the Aviation Domain: A Semantic-Web based Approach

    Science.gov (United States)

    Ashish, Naveen; Goforth, Andre

    2005-01-01

    Information fusion from multiple sources is a critical requirement for System Wide Information Management in the National Airspace (NAS). NASA and the FAA envision creating an "integrated pool" of information originally coming from different sources, which users, intelligent agents and NAS decision support tools can tap into. In this paper we present the results of our initial investigations into the requirements and prototype development of such an integrated information pool for the NAS. We have attempted to ascertain key requirements for such an integrated pool based on a survey of DSS tools that will benefit from this integrated pool. We then advocate key technologies from computer science research areas such as the semantic web, information integration, and intelligent agents that we believe are well suited to achieving the envisioned system wide information management capabilities.

  20. The application of artificial intelligence within information security.

    OpenAIRE

    2012-01-01

    D.Phil. Computer-based information systems will probably always have to contend with security issues. Much research have already gone into the field of information security. These research results have yielded some very sophisticated and effective security mechanisms and procedures. However, due to the ever increasing sophistication of criminals, combined with the ever changing and evolving information technology environment, some limitations still exist within the field of information sec...

  1. Using Information-Sharing Exchange Techniques from the Private Sector to Enhance Information Sharing Between Domestic Intelligence Organizations

    Science.gov (United States)

    2013-12-01

    Travel Alliance —Fast Res System Flow (From Open Travel, 2009a...Intelligence Center THN Tourism Harmonisation Network VCC Virtual Command Center xiii ACKNOWLEDGMENTS I would like to open with thanking my wife...HSIN) The HSIN brand is divided into two parts, HSIN and HSIN-Intel. The larger HSIN is devoted to information sharing amongst the public safety

  2. An Intelligent Information Retrieval Approach Based on Two Degrees of Uncertainty Fuzzy Ontology

    OpenAIRE

    Maryam Hourali; Gholam Ali Montazer

    2011-01-01

    In spite of the voluminous studies in the field of intelligent retrieval systems, effective retrieving of information has been remained an important unsolved problem. Implementations of different conceptual knowledge in the information retrieval process such as ontology have been considered as a solution to enhance the quality of results. Furthermore, the conceptual formalism supported by typical ontology may not be sufficient to represent uncertainty information due to the lack of clear-cut ...

  3. Information diversification for intelligent diagnosis of nuclear plants

    International Nuclear Information System (INIS)

    Furukawa, Hiroshi; Kuchimura, Keiji; Kitamura, Masaharu; Washio, Takashi.

    1995-01-01

    A general framework for future development of intelligent operator support systems in nuclear plants is proposed in this paper. The central idea in the framework is the decision-making through consensus among multiple agents, each conducting diagnosis on the basis of mutually different, i.e. diverse, principle by focusing dissimilar symptoms obtained from the plant. The applicability and credibility of the operator support system are expected to be significantly improved by implementing the proposed scheme. The effectiveness of diversification in symptom description independently of the effect of reasoning methods was mainly evaluated in this paper. A prototype system was developed for the subtask of fault diagnosis by multiple neural networks emulating the diagnostic agents. The advantage of the proposed framework, together with the related technique of symptom diversification and consensus, was clearly demonstrated through numerical evaluations simulating anomalies in a pressurized water reactor. The obtained results validate, at least to same extent, the present claim of combining multiple and diverse perspectives for reliable decision-making in high-hazard artifacts. (author)

  4. Strategic Intelligence in a globalized world in Latin America: Challenges in the XXI century

    Directory of Open Access Journals (Sweden)

    Boris Saavedra

    2016-02-01

    Full Text Available In general, intelligence has been classified as something mysterious due to the historical experiences in Latin America and the general ignorance about the true essence of intelligence as a primary activity of the State. This paper focuses on the analysis of the role of strategic intelligence as a fundamental element of public security and defense policy of a nation in Latin America. The changes occurring at the dawn of this century for the collection and analysis of intelligence are critical. The analysis of power, internet, digital technology, robotics and intelligent computers is responsible for the rapid changes of our history. Strategic Intelligence requires a comprehensive operational reform in five points: 1 Distinction as far as competition of intelligence agencies is concerned. 2 The dependence of the intelligence agencies. 3 Limiting the allocation of responsibility for domestic intelligence. 4 Establishing a coordinating body at the highest level of the State and 5 Effective external controls. These aspects are essential for a strategic intelligence system in line with present and future demands.

  5. A New Challenge for Information Mining

    Directory of Open Access Journals (Sweden)

    Roberto Paiano

    2017-07-01

    Full Text Available In the field of "Data Exploration" many approaches have been developed to solve the problem of management of big data that are also semantically rich. Nowadays, there is a strong need to support the discovery-oriented applications where data discovery is a highly ad hoc interactive process to support the users by assisting the navigation in the data to find interesting objects. In this work starting by a theoretical data exploration system, where we identified the main features that a data exploration system must have to an efficient exploratory experience, we propose a combination of two data exploration techniques faceted navigation and data mining with the aim to improve the discovery information during exploration. This approach is contextualized better in Information Mining. Information mining, in fact, aims at discovering knowledge, i.e. more general patterns within objects or collections of objects.

  6. Health infrastructural challenges to health management information ...

    African Journals Online (AJOL)

    Aim: This study aims to assess health management information systems at the ... workers' ability to practice and use the health data generated at their Primary Health ... Only 2 (5.7%) of the health centres surveyed were capable of operating the ... The government at all levels should ensure collective effort and political will to ...

  7. Challenges for quality in volunteered geographical information

    CSIR Research Space (South Africa)

    Cooper, Antony K

    2011-05-01

    Full Text Available information (VGI) in particular. A key aspect of such data, when compared against professionally-generated and/or official content, is the provenance or quality of the data, and the documenting thereof – the metadata. We consider here some of the quality...

  8. NED-IIS: An Intelligent Information System for Forest Ecosystem Management

    Science.gov (United States)

    W.D. Potter; S. Somasekar; R. Kommineni; H.M. Rauscher

    1999-01-01

    We view Intelligent Information System (IIS) as composed of a unified knowledge base, database, and model base. The model base includes decision support models, forecasting models, and cvsualization models for example. In addition, we feel that the model base should include domain specific porblems solving modules as well as decision support models. This, then,...

  9. Survey of Artificial Intelligence and Expert Systems in Library and Information Science Literature.

    Science.gov (United States)

    Hsieh, Cynthia C.; Hall, Wendy

    1989-01-01

    Examines the definition and history of artificial intelligence (AI) and investigates the body of literature on AI found in "Library Literature" and "Library and Information Science Abstracts." The results reported include the number of articles by year and per journal, and the percentage of articles dealing with library…

  10. Evaluating Business Intelligence/Business Analytics Software for Use in the Information Systems Curriculum

    Science.gov (United States)

    Davis, Gary Alan; Woratschek, Charles R.

    2015-01-01

    Business Intelligence (BI) and Business Analytics (BA) Software has been included in many Information Systems (IS) curricula. This study surveyed current and past undergraduate and graduate students to evaluate various BI/BA tools. Specifically, this study compared several software tools from two of the major software providers in the BI/BA field.…

  11. A Multidirectional Model for Assessing Learning Disabled Students' Intelligence: An Information-Processing Framework.

    Science.gov (United States)

    Swanson, H. Lee

    1982-01-01

    An information processing approach to the assessment of learning disabled students' intellectual performance is presented. The model is based on the assumption that intelligent behavior is comprised of a variety of problem- solving strategies. An account of child problem solving is explained and illustrated with a "thinking aloud" protocol.…

  12. Detection, information fusion, and temporal processing for intelligence in recognition

    Energy Technology Data Exchange (ETDEWEB)

    Casasent, D. [Carnegie Mellon Univ., Pittsburgh, PA (United States)

    1996-12-31

    The use of intelligence in vision recognition uses many different techniques or tools. This presentation discusses several of these techniques for recognition. The recognition process is generally separated into several steps or stages when implemented in hardware, e.g. detection, segmentation and enhancement, and recognition. Several new distortion-invariant filters, biologically-inspired Gabor wavelet filter techniques, and morphological operations that have been found very useful for detection and clutter rejection are discussed. These are all shift-invariant operations that allow multiple object regions of interest in a scene to be located in parallel. We also discuss new algorithm fusion concepts by which the results from different detection algorithms are combined to reduce detection false alarms; these fusion methods utilize hierarchical processing and fuzzy logic concepts. We have found this to be most necessary, since no single detection algorithm is best for all cases. For the final recognition stage, we describe a new method of representing all distorted versions of different classes of objects and determining the object class and pose that most closely matches that of a given input. Besides being efficient in terms of storage and on-line computations required, it overcomes many of the problems that other classifiers have in terms of the required training set size, poor generalization with many hidden layer neurons, etc. It is also attractive in its ability to reject input regions as clutter (non-objects) and to learn new object descriptions. We also discuss its use in processing a temporal sequence of input images of the contents of each local region of interest. We note how this leads to robust results in which estimation efforts in individual frames can be overcome. This seems very practical, since in many scenarios a decision need not be made after only one frame of data, since subsequent frames of data enter immediately in sequence.

  13. Operation Ajax: A Case Study on Analyst-Policymaker Tensions and the Challenges of Estimative Intelligence

    Science.gov (United States)

    2015-05-21

    States’ role in world affairs had expanded significantly after World War II and would require a robust intelligence architecture . Furthermore, concerns...intelligence architecture that could successfully coordinate estimates. The various intelligence organizations feared that an overly centralized CIA...and warships, as they were to do a few years later against the Egyptians at Suez, it was almost certain that the Soviet Union would have

  14. Intelligence Reforms in Brazil: Contemporary Challenges and the Legacy of the Past

    National Research Council Canada - National Science Library

    Bruneau, Thomas C

    2007-01-01

    .... The most important factors determining the main characteristics of this system were on the noxious stigma associated with intelligence organizations during the military dictatorship of 1964-1985...

  15. Medical information security in the era of artificial intelligence.

    Science.gov (United States)

    Wang, Yufeng; Wang, Liwei; Xue, Chang-Ao

    2018-06-01

    In recent years, biometric technologies, such as iris, facial, and finger vein recognition, have reached consumers and are being increasingly applied. However, it remains unknown whether these highly specific biometric technologies are as safe as declared by their manufacturers. As three-dimensional (3D) reconstruction based on medical imaging and 3D printing are being developed, these biometric technologies may face severe challenges. Copyright © 2018 Elsevier Ltd. All rights reserved.

  16. Four Challenges for Music Information Retrieval Researchers

    DEFF Research Database (Denmark)

    Sturm, Bob L.; Collins, Nick

    Exemplified in the substantial amount of published research in music genre recognition, mood recognition and autotagging, content-based music information retrieval (MIR) advances an "engineering approach'': build a system producing the most "correct'' answers in datasets appearing throughout...... might not even be considering the through it answers "correctly''. It could thus be worthless for addressing real-world problems that must consider (e.g., music description). To emphasise the critical points above, and encourage a new approaches to research that address real-world problems, we present...

  17. Competitive intelligence information management and innovation in small technology-based companies

    Science.gov (United States)

    Tanev, Stoyan

    2007-05-01

    In this article we examine how (i) company type and (ii) the competitive intelligence information used by small technology-based companies affect their innovation performance. The focus is on the specific information types used and not on the information sources. Information topics are classified in four groups - customers (10), company (9), competitor (11) and industry (12). The sample consists of 45 small new technology-based companies, specialized suppliers, and service companies from a variety of sectors - software, photonics, telecommunications, biomedical engineering and biotech, traditional manufacturing etc. The results suggest that the total number of intelligence information topics companies use to make decisions about innovation is not associated with the number of their new products, processes, services and patents. Therefore the companies in our sample do not seem to have the resources, processes or value systems required to use different competitive intelligence information when making decisions on innovation or may rely more on their own internal logic than on external information. Companies are classified using a Pavitt-like taxonomy. Service companies are considered as a separate company type. This allows for explicitly studying both, the innovative role of new services in product driven companies, and the role of new product development in service companies.

  18. Originals and reproductions: information society challenges

    Directory of Open Access Journals (Sweden)

    Vilenka Jakac-Bizjak

    2001-01-01

    Full Text Available Due to digitisation of traditional documents new collections of electronic publications/resources are formed. The article deals with the process of planning of digitisation of library materials on traditional media, accompanying decisions and procedures, as well as methods of storage and preservation of digitised materials, the impact of target public on the decision about what to digitise and the questions of copyright. Acquisition and preservation of new media has an important influence on the work of libraries, especially on collection development. Parallel to these changes new technical terms develop, as for example information resources management.In the introduction, the author actualise the thought of Walter Benjamin on the impact of reproduction techniques on the status of original documents and on the separation of tradition from what was reproduced. The question whether digitisation changes the principles of national libraries underlying the preservation of national cultural heritage is raised.

  19. Towards an Intelligent Possibilistic Web Information Retrieval Using Multiagent System

    Science.gov (United States)

    Elayeb, Bilel; Evrard, Fabrice; Zaghdoud, Montaceur; Ahmed, Mohamed Ben

    2009-01-01

    Purpose: The purpose of this paper is to make a scientific contribution to web information retrieval (IR). Design/methodology/approach: A multiagent system for web IR is proposed based on new technologies: Hierarchical Small-Worlds (HSW) and Possibilistic Networks (PN). This system is based on a possibilistic qualitative approach which extends the…

  20. Towards a New Approach of the Economic Intelligence Process: Basic Concepts, Analysis Methods and Informational Tools

    Directory of Open Access Journals (Sweden)

    Sorin Briciu

    2009-04-01

    Full Text Available One of the obvious trends in current business environment is the increased competition. In this context, organizations are becoming more and more aware of the importance of knowledge as a key factor in obtaining competitive advantage. A possible solution in knowledge management is Economic Intelligence (EI that involves the collection, evaluation, processing, analysis, and dissemination of economic data (about products, clients, competitors, etc. inside organizations. The availability of massive quantities of data correlated with advances in information and communication technology allowing for the filtering and processing of these data provide new tools for the production of economic intelligence.The research is focused on innovative aspects of economic intelligence process (models of analysis, activities, methods and informational tools and is providing practical guidelines for initiating this process. In this paper, we try: (a to contribute to a coherent view on economic intelligence process (approaches, stages, fields of application; b to describe the most important models of analysis related to this process; c to analyze the activities, methods and tools associated with each stage of an EI process.

  1. A proof challenge: multiple alignment and information compression

    OpenAIRE

    Wolff, J Gerard

    2014-01-01

    These notes pose a "proof challenge": a proof, or disproof, of the proposition that "For any given body of information, I, expressed as a one-dimensional sequence of atomic symbols, a multiple alignment concept, described in the document, provides a means of encoding all the redundancy that may exist in I. Aspects of the challenge are described.

  2. Electronic Information – Threat or Challenge to Librarians and ...

    African Journals Online (AJOL)

    Electronic Information – Threat or Challenge to Librarians and Library Buildings. ... electronic resources because as new things and methods emerge, they exist ... that world trends in the paper industry and Internet use do not justify the fears ...

  3. Research and Development of a Network-Based Intelligent Maintenance Information System

    Institute of Scientific and Technical Information of China (English)

    ZANG Tie-gang; YANG Ming-zhong; GUO Shun-sheng

    2003-01-01

    A maintenance information system is an important part of equipment management. An intelli gent maintenance information system ( IMIS) is a synthesis of network technology, information technology and intelligent technology. The IMIS is used to finish flexible maintenance decision-making and fast maintenance planning, which helps enterprises to effectively reduce maintenance cost and increase working efficiency. Because the IMIS integrates advanced technologies, its performance is better than a traditional one.The difference between an IMIS and a traditional maintenance information system, and the functions, structure, important realizations, and application of an IMIS are discussed in this paper.

  4. On the Development of Intelligent Railway Information and Safety Systems: An Overview of Current Research

    Directory of Open Access Journals (Sweden)

    Dániel Tokody

    2018-03-01

    Full Text Available The present article focuses on the research and development planning for innovative railway systems. Within such a general framework, the specific objectives of the research have been defined within the framework of a large Intelligent Railway System project in Hungary. Our theoretical research work at the university is combined with practical experience gained at the Hungarian State Railways. In the course of this research work, the development of an intelligent railway system has been investigated by leveraging on the fruitful cooperation between academic and industrial partners, in order to promote the application and integration possibilities of the development results, as well as the introduction of innovative components in the railway system. In such a context, this article discusses the research plan, preliminary and long-term expected results, sharing objectives and experiences with the aim of providing novel views in an extremely current and challenging field of research.

  5. Artificial Intelligence.

    Science.gov (United States)

    Information Technology Quarterly, 1985

    1985-01-01

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

  6. 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…

  7. Grand societal challenges in information systems research and education

    CERN Document Server

    vom Brocke, Jan; Hofmann, Sara; Tumbas, Sanja

    2015-01-01

    This book examines how information systems research and education can play a major role in contributing to solutions to the Societal Grand Challenges formulated in "The Millennium Project" (millenium-project.org). Individual chapters focus on specific challenges, review existing approaches and contributions towards solutions in information systems research and outline a research agenda for these challenges. The topics considered in this volume range from climate change, population growth, global ICT availability, breakthroughs in science and technology and energy demand to ethical decision-making, policymaking, gender status and transnational crime prevention. It is the first book to present ideas on how the Information Systems discipline can contribute to the solution on this wide spectrum of grand societal challenges.

  8. Introduction: Challenges to Effectiveness in Intelligence due to the Need for Transparency and Accountability in Democracy

    National Research Council Canada - National Science Library

    Bruneau, Thomas C

    2007-01-01

    .... This is due to the tension between the requirement of intelligence agencies to work to some extent in secret and the requirement of democratic government for accountability, necessitating transparency...

  9. 12th International Conference on Intelligent Information Hiding and Multimedia Signal Processing

    CERN Document Server

    Tsai, Pei-Wei; Huang, Hsiang-Cheh

    2017-01-01

    This volume of Smart Innovation, Systems and Technologies contains accepted papers presented in IIH-MSP-2016, the 12th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The conference this year was technically co-sponsored by Tainan Chapter of IEEE Signal Processing Society, Fujian University of Technology, Chaoyang University of Technology, Taiwan Association for Web Intelligence Consortium, Fujian Provincial Key Laboratory of Big Data Mining and Applications (Fujian University of Technology), and Harbin Institute of Technology Shenzhen Graduate School. IIH-MSP 2016 is held in 21-23, November, 2016 in Kaohsiung, Taiwan. The conference is an international forum for the researchers and professionals in all areas of information hiding and multimedia signal processing. .

  10. Intelligent acoustic data fusion technique for information security analysis

    Science.gov (United States)

    Jiang, Ying; Tang, Yize; Lu, Wenda; Wang, Zhongfeng; Wang, Zepeng; Zhang, Luming

    2017-08-01

    Tone is an essential component of word formation in all tonal languages, and it plays an important role in the transmission of information in speech communication. Therefore, tones characteristics study can be applied into security analysis of acoustic signal by the means of language identification, etc. In speech processing, fundamental frequency (F0) is often viewed as representing tones by researchers of speech synthesis. However, regular F0 values may lead to low naturalness in synthesized speech. Moreover, F0 and tone are not equivalent linguistically; F0 is just a representation of a tone. Therefore, the Electroglottography (EGG) signal is collected for deeper tones characteristics study. In this paper, focusing on the Northern Kam language, which has nine tonal contours and five level tone types, we first collected EGG and speech signals from six natural male speakers of the Northern Kam language, and then achieved the clustering distributions of the tone curves. After summarizing the main characteristics of tones of Northern Kam, we analyzed the relationship between EGG and speech signal parameters, and laid the foundation for further security analysis of acoustic signal.

  11. Challenges of Massive Application of Information Technologies in ...

    African Journals Online (AJOL)

    Effective diffusion of information technology and related initiatives in African Universities is hindered by various barriers. The paper investigated the challenges of massive application of information technology (IT) in Niger Delta universities in Nigeria. The research design was survey design, while the population consisted of ...

  12. 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…

  13. Preface [to] Information systems and technology for organizational agility, intelligence, and resilience

    OpenAIRE

    Rahman, Md. Hakikur; Sousa, Rui Dinis

    2014-01-01

    Information Systems and Technology for Organizational Agility, Intelligence, and Resilience aims to advise and support organizational agents who want ensure success in terms of financial, social, and environmental aspects, as well as in the aspect of human development, in a more sustainable way. The premier reference work provides examples of conceptual research, methodologies, empirical cases, and success cases for academics, researchers, intermediaries, and organizations looking to use info...

  14. 1st International Conference on Information and Communication Technology for Intelligent Systems

    CERN Document Server

    Das, Swagatam

    2017-01-01

    This volume contains 59 papers presented at ICTIS 2015: International Conference on Information and Communication Technology for Intelligent Systems. The conference was held during 28th and 29th November, 2015, Ahmedabad, India and organized communally by Venus International College of Technology, Association of Computer Machinery, Ahmedabad Chapter and Supported by Computer Society of India Division IV – Communication and Division V – Education and Research. This volume contains papers mainly focused on ICT for Computation, Algorithms and Data Analytics etc.

  15. Comparing the information conveyed by envelope modulation for speech intelligibility, speech quality, and music quality.

    Science.gov (United States)

    Kates, James M; Arehart, Kathryn H

    2015-10-01

    This paper uses mutual information to quantify the relationship between envelope modulation fidelity and perceptual responses. Data from several previous experiments that measured speech intelligibility, speech quality, and music quality are evaluated for normal-hearing and hearing-impaired listeners. A model of the auditory periphery is used to generate envelope signals, and envelope modulation fidelity is calculated using the normalized cross-covariance of the degraded signal envelope with that of a reference signal. Two procedures are used to describe the envelope modulation: (1) modulation within each auditory frequency band and (2) spectro-temporal processing that analyzes the modulation of spectral ripple components fit to successive short-time spectra. The results indicate that low modulation rates provide the highest information for intelligibility, while high modulation rates provide the highest information for speech and music quality. The low-to-mid auditory frequencies are most important for intelligibility, while mid frequencies are most important for speech quality and high frequencies are most important for music quality. Differences between the spectral ripple components used for the spectro-temporal analysis were not significant in five of the six experimental conditions evaluated. The results indicate that different modulation-rate and auditory-frequency weights may be appropriate for indices designed to predict different types of perceptual relationships.

  16. ACCOUNTING INFORMATION SYSTEMS: AN APPROACH FOCUSED ON OBJECTS WITH INTELLIGENT AGENTS

    Directory of Open Access Journals (Sweden)

    Marcelo Botelho da Costa Moraes

    2010-01-01

    Full Text Available Accounting aims at the treatment of information related to economic events within organizations. In order to do so, the double entry method is used (debt and credit accounting, which only considers monetary variations. With the development of information technologies, accounting information systems are born. In the 1980’s, the REA model (economic Resources, economic Events and economic Agents is created, which focuses on accounting information records, based on the association of economic resources, economic events and economic agents. The objective of this work is to demonstrate an object-oriented modeling with intelligent agents use, for information development and analysis focused on users. The proposed model is also analyzed according to accounting information quality, necessary for accounting information users, capable to comply with the needs of different user groups, with advantages in applications.

  17. Intelligent Information System for Waste Management; Jaetehuollon aelykaes tietojaerjestelmae iWaste

    Energy Technology Data Exchange (ETDEWEB)

    Mustonen, T. [Kuopio Univ. (Finland)

    2003-07-01

    'iWaste' is a project for developing and testing intelligent computational methods for more comprehensive waste management. Important issues are automated reporting, optimisation of waste collection, forecasting of waste formation, data handling of waste disposal sites and simulation and modelling of regional waste management. The main objective of the project is to identify and analyse known sources of information and to link them to the existing information processing systems in the field of waste management. Additionally, the goal is to identify and test functional elements that could be developed further to software products and services. The results of the project can be categorized into three sectors. Firstly, the guidelines for a comprehensive information system in waste management will be created. This includes the requirement specifications of different parties, definitions for the data exchange interfaces and an architectural plan for software products capable of co-operative processing. Secondly, the central parts of the intelligent information system will be piloted using the research database collected in the early stage of the project. The main topics investigated are data quality, the use of Geographical Information Systems (GIS), automated reporting, optimisation of waste collection and forecasting of waste formation. Additionally, the pilot information system can be utilized in derivative projects to speed up the starting phases of them. This makes it possible to create persistent development of waste management information systems both academically and commercially. (orig.)

  18. When is Information Sufficient for Action Search with Unreliable Yet Informative Intelligence

    Science.gov (United States)

    2016-03-30

    specificity. Math . Methods Oper. Res. 68(3): 539–549. Lange R-J (2012) Brownian motion and multidimensional decision making. Unpublished doctoral...intelligence assets, political ramifications, etc. We describe the problem in §2 and formulate the mathe - matical model in §3. The cases of n= 2 and n...boundary problem in n dimensions. When n> 2 cells, our problem relates to the family of multinomial selection problems (Kim and Nelson 2006) in which an

  19. Exploring challenges to telehealth communication by specialists in poison information.

    Science.gov (United States)

    Rothwell, Erin; Ellington, Lee; Planalp, Sally; Crouch, Barbara

    2012-01-01

    The use of the telephone for providing health care is growing. A significant amount of social meaning is derived from visual information, and the absence of visual stimuli provides unique barriers to communication and increases the risks for misunderstandings and distractions. Understanding challenges to telephone communication can provide insight into training opportunities for overcoming these difficulties and improving patient care. The purpose of this research was to explore through focus groups the challenges of phone communication perceived by specialists in poison information. General types of challenges to effective phone communication included developing new communication skills to compensate for lack of visual information, difficulty assessing caller understanding, difficulty managing caller misunderstandings, maintaining distinctive assessments for routine calls, and managing the multifaceted aspects of job stress. The desire for training to enhance telehealth and cultural competency skills was also mentioned, and these findings might provide guidance for the development of training opportunities for telehealth professionals.

  20. Information processing speed mediates the relationship between white matter and general intelligence in schizophrenia.

    Science.gov (United States)

    Alloza, Clara; Cox, Simon R; Duff, Barbara; Semple, Scott I; Bastin, Mark E; Whalley, Heather C; Lawrie, Stephen M

    2016-08-30

    Several authors have proposed that schizophrenia is the result of impaired connectivity between specific brain regions rather than differences in local brain activity. White matter abnormalities have been suggested as the anatomical substrate for this dysconnectivity hypothesis. Information processing speed may act as a key cognitive resource facilitating higher order cognition by allowing multiple cognitive processes to be simultaneously available. However, there is a lack of established associations between these variables in schizophrenia. We hypothesised that the relationship between white matter and general intelligence would be mediated by processing speed. White matter water diffusion parameters were studied using Tract-based Spatial Statistics and computed within 46 regions-of-interest (ROI). Principal component analysis was conducted on these white matter ROI for fractional anisotropy (FA) and mean diffusivity, and on neurocognitive subtests to extract general factors of white mater structure (gFA, gMD), general intelligence (g) and processing speed (gspeed). There was a positive correlation between g and gFA (r= 0.67, p =0.001) that was partially and significantly mediated by gspeed (56.22% CI: 0.10-0.62). These findings suggest a plausible model of structure-function relations in schizophrenia, whereby white matter structure may provide a neuroanatomical substrate for general intelligence, which is partly supported by speed of information processing. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  1. Nursing and pharmacy students' use of emotionally intelligent behaviours to manage challenging interpersonal situations with staff during clinical placement: A qualitative study.

    Science.gov (United States)

    McCloughen, Andrea; Foster, Kim

    2017-04-20

    To identify challenging interpersonal interactions experienced by nursing and pharmacy students during clinical placement, and strategies used to manage those situations. Healthcare students and staff experience elevated stress when exposed to dynamic clinical environments, complex care and challenging professional relationships. Emotionally intelligent behaviours are associated with appropriate recognition and management of emotions evoked by stressful experiences and development of effective relationships. Nursing and pharmacy students' use of emotionally intelligent behaviours to manage challenging interpersonal situations is not well known. A qualitative design, using semi-structured interviews to explore experiences of challenging interpersonal situations during clinical placement (Phase two of a larger mixed-methods study). Final-year Australian university nursing and pharmacy students (n = 20) were purposefully recruited using a range of Emotional Intelligence scores (derived in Phase one), measured using the GENOS Emotional intelligence Inventory (concise version). Challenging interpersonal situations involving student-staff and intrastaff conflict, discourteous behaviour and criticism occurred during clinical placement. Students used personal and relational strategies, incorporating emotionally intelligent behaviours, to manage these encounters. Strategies included reflecting and reframing, being calm, controlling discomfort and expressing emotions appropriately. Emotionally intelligent behaviours are effective to manage stressful interpersonal interactions. Methods for strengthening these behaviours should be integrated into education of nursing and pharmacy students and qualified professionals. Education within the clinical/workplace environment can incorporate key interpersonal skills of collaboration, social interaction and reflection, while also attending to sociocultural contexts of the healthcare setting. Students and staff are frequently exposed

  2. The Use of Ideas of Information Theory for Studying “Language” and Intelligence in Ants

    Directory of Open Access Journals (Sweden)

    Zhanna Reznikova

    2009-11-01

    Full Text Available In this review we integrate results of long term experimental study on ant “language” and intelligence which were fully based on fundamental ideas of Information Theory, such as the Shannon entropy, the Kolmogorov complexity, and the Shannon’s equation connecting the length of a message (l and its frequency (p, i.e., l = –log p for rational communication systems. This approach enabled us to obtain the following important results on ants’ communication and intelligence: (i to reveal “distant homing” in ants, that is, their ability to transfer information about remote events; (ii to estimate the rate of information transmission; (iii to reveal that ants are able to grasp regularities and to use them for “compression” of information; (iv to reveal that ants are able to transfer to each other the information about the number of objects; (v to discover that ants can add and subtract small numbers. The obtained results show that information theory is not only excellent mathematical theory, but many of its results may be considered as Nature laws.

  3. The resources that matter: fundamental social causes of health disparities and the challenge of intelligence.

    Science.gov (United States)

    Link, Bruce G; Phelan, Jo C; Miech, Richard; Westin, Emily Leckman

    2008-03-01

    A robust and very persistent association between indicators of socioeconomic status (SES) and the onset of life-threatening disease is a prominent concern of medical sociology. The persistence of the association over time and its generality across very different places suggests that no fixed set of intervening risk and protective factors can account for the connection. Instead, fundamental-cause theory views SES-related resources of knowledge, money, power prestige, and beneficial social connections as flexible resources that allow people to avoid risks and adopt protective strategies no matter what the risk and protective factors are in a given place or time. Recently, however, intelligence has been proposed as an alternative flexible resource that could fully account for the association between SES and health and thereby find its place as the epidemiologists' "elusive fundamental cause" (Gottfredson 2004). We examine the direct effects of intelligence test scores and adult SES in two data sets containing measures of intelligence, SES, and health. In analyses of prospective data from both the Wisconsin Longitudinal Study and the Health and Retirement Survey, we find little evidence of a direct effect of intelligence on health once adult education and income are held constant. In contrast, the significant effects of education and income on health change very little when intelligence is controlled. Although data limitations do not allow a definitive resolution of the issue, this evidence is inconsistent with the claim that intelligence is the elusive fundamental cause of health disparities, and instead supports the idea that the flexible resources people actively use to gain a health advantage are the SES-related resources of knowledge, money, power, prestige, and beneficial social connections.

  4. Mediating Data and Building Community for Informed, Intelligent Decision Making for the Polar Regions

    Science.gov (United States)

    Pulsifer, P. L.; Stieglitz, M.

    2017-12-01

    Much has been written about the state of data and related systems for the polar regions, however work remains to be done to achieve an envisioned integrated and well-defined pan-Arctic observing and data network that enables access to high quality data, expertise and information in support of scientific understanding, stakeholder needs, and agency operations. In this paper we argue that priorities for establishing such a network are in the area of machine-enhanced data mediation and the human aspects of community building. The authors have engaged in a U.S.-based, multi-agency process with the goal of applying modern cyberinfrastructure to improve capabilities for integrating data. A particular case-study focuses on establishing a carbon budget for the Arctic region. This effort contributes to broader global efforts aimed at establishing an international observing and data network. Results are based on a series meetings, workshops, systems design activities, and publications. Analysis reveals that there are a large number of polar data resources interacting in a network that functions as a data ecosystem. Given the size and complexity of the network, achieving broad data discovery and access and meaningful data integration (i.e. developing a carbon budget) will require advanced techniques including machine learning, semantic mediation, and the use of highly connected virtual research environments. To achieve the aforementioned goal will require a community of engaged researchers, technologists, and stakeholders to establish requirements and the social and organizational context needed for effective machine-based approaches. The results imply that: i) the polar research and application community must be more aware of advances in technology; ii) funders must adopt a long-term, sustainable infrastructure approach to systems development; iii) the community must work together to enable interoperability; iv) we must recognize that the challenge is socio-technical and

  5. Discussion on technical intelligence of nuclear power industry

    International Nuclear Information System (INIS)

    Chen Ming

    2010-01-01

    The very Paper introduces the contemporary challenges faced by the profession of technical intelligence on nuclear power, and expatiates the functions of technical intelligence such as sources of experience feedback, background information and supports for decision-making. Afterwards, the Paper explains characteristics of technical intelligence and its working methods, i.e., quantitative changes to reach qualitative changes, approve-negate-approve and oppositeness unity of comprehensiveness and limitation of technical intelligence. (authors)

  6. Artificial intelligence applications in the nuclear field: Achievements and prospects: The new challenge

    International Nuclear Information System (INIS)

    Thomas, J.B.

    1993-01-01

    The first applications of Artificial Intelligence in the nuclear field were expert systems dedicated to off-line problems of diagnosis and maintenance. A second step aimed at solving more ambitious problems related to plant design and operation, which improved methodologies and tools. By the end of this period, new limits appeared. To solve the problems faced in the late eighties, powerful principles and methods became available. These require extensive sources. The present book describes examples of large-scale applications of Artificial Intelligence in the nuclear field

  7. Strategic latency and warning. Private sector perspectives on current intelligence challenges in science and technology

    Energy Technology Data Exchange (ETDEWEB)

    Davis, Zachary [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Gac, Frank [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Nacht, Michael [Univ. of California, Berkeley, CA (United States)

    2016-01-08

    Lawrence Livermore National Laboratory and National Intelligence University convened a group of business experts to examine parallels between S&T competition in the marketplace and science and technology intelligence (S&TI). The experts identified the centrality of people — individuals and connected groups — to the successful development and application of latent S&T capabilities. People may indeed be more important to recognizing S&T potential than deep knowledge of any particular technology. This report explores the significance of this key insight for S&TI.

  8. Design of information-measuring and control systems for intelligent buildings. Trends of development

    Directory of Open Access Journals (Sweden)

    Petrova Irina Yur’evna

    2015-12-01

    Full Text Available The article considers the modern requirements for integrated management systems of a smart home. The authors propose a hierarchical classification of the levels of house automation, which allows allocating different levels of information transfer. The article considers the trends of development of information-measuring and control systems of intelligent buildings. The generalized scheme of information-measuring and control subsystems of an intelligent building are given. The energy-information model of the knowledge base of physical and technical effects described in the article allows developing a system of automated support of the conceptual stage of elements design in information measuring and control systems. With the help of this knowledge base the system allows dozens of times expanding the scope of knowledge actively used by specialists and two or three times reducing the time of creating new solutions by selecting the most efficient of the options and the underlying calculation of the essential characteristics of their conceptual models, which significantly reduces the number of created prototypes and field tests.

  9. AI Reloaded: Objectives, Potentials, and Challenges of the Novel Field of Brain-Like Artificial Intelligence

    Directory of Open Access Journals (Sweden)

    Rosemarie Velik

    2012-11-01

    Full Text Available The general objective of Artificial Intelligence (AI is to make machines – particularly computers – do things that require intelligence when done by humans. In the last 60 years, AI has significantly progressed and today forms an important part of industry and technology. However, despite the many successes, fundamental questions concerning the creation of human-level intelligence in machines still remain open and will probably not be answerable when continuing on the current, mainly mathematic-algorithmically-guided path of AI. With the novel discipline of
    Brain-Like Artificial Intelligence, one potential way out of this dilemma has been suggested. Brain-Like AI aims at analyzing and deciphering the working mechanisms of the brain and translating this knowledge into implementable AI architectures with the objective to develop in this way more efficient, flexible, and capable technical systems This article aims at giving a review about this young and still heterogeneous and dynamic research field.

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

    Science.gov (United States)

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

    2009-01-01

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

  11. Identifying foreign terrorist fighters: The Role of Public-Private Partnership, Information Sharing and Financial Intelligence

    Directory of Open Access Journals (Sweden)

    Tom Keatinge

    2015-07-01

    phenomenon. This Research Paper, by contrast, considers another source of data that could inform this analysis, namely the financial intelligence (FININT generated by the huge quantities of transaction data gathered by the financial-services industry as it processes bank transfers, ATM withdrawals and credit-card transactions. It asks what barriers exist to greater partnership and information sharing between the security authorities and the financial-services industry in tackling terrorism. And whether, within the parameters of acceptable data-privacy restrictions, an intelligent and intelligence-led relationship between the security authorities and the financial-services industry could provide greater and more timely insight into which individuals are travelling to Syria or are already in-country, and (perhaps most importantly who, having been exposed to the extremist ideology espoused by groups such Daesh, has returned home. The lack of partnership and information sharing between the public and private sectors is dramatically hindering the valuable role banks could play in assisting in disrupting terrorism. Advances in technology and transaction-monitoring systems have immeasurably improved the capabilities of banks and other financial institutions, such as large-scale remittance companies, to play the front-line role that is required of them by the authorities. The security threat posed by FTFs – and the apparent struggle faced by national security authorities in identifying and tracking such individuals – provides an ideal and timely platform from which to discuss the role that banks can play in countering terrorist threats, which requires urgent re-evaluation and enhancement. The FTF phenomenon has caught security authorities across the globe off guard. Authorities in many Western capitals only awoke, belatedly, to the threat once many hundreds of their citizens had made the journey to Syria and had begun openly to promote their actions via social media. Significant

  12. Managing Information in Law Firms: Changes and Challenges

    Science.gov (United States)

    Evans, Nina; Price, James

    2017-01-01

    Introduction. Data, information and knowledge together constitute a vital business asset for every organization that enables every business activity, every business process and every business decision. The global legal industry is facing unprecedented change, which inevitably creates challenges for individual law firms. These global changes affect…

  13. Grand challenge commentary: Transforming biosynthesis into an information science.

    Science.gov (United States)

    Bayer, Travis S

    2010-12-01

    Engineering biosynthetic pathways to natural products is a challenging endeavor that promises to provide new therapeutics and tools to manipulate biology. Information-guided design strategies and tools could unlock the creativity of a wide spectrum of scientists and engineers by decoupling expertise from implementation.

  14. Information Technology: A challenge to the Creation and ...

    African Journals Online (AJOL)

    As organisations increasingly adopt the use of information and communication technologies, the corresponding increase in the creation of electronic records has brought about a number of records management challenges. These manifest themselves in a number of ways. Problems associated with the management of ...

  15. The diverse educational needs and challenges of Information ...

    African Journals Online (AJOL)

    This article reflects on the first phase of a research project aimed at the empowerment of Information Technology (IT) teachers in black rural schools in the North-West province of South Africa. In order to empower these IT teachers, the first phase aimed at understanding their unique challenges and needs. Qualitative ...

  16. A Perspective on Research Challenges in Information Security

    Science.gov (United States)

    2011-11-01

    UNCLASSIFIED A Perspective on Research Challenges in Information Security Tamas Abraham, David Adie, Angela Billard, Paul Buckland, Michael Frangos ...Abstract (U) 4. AUTHORS Tamas Abraham, David Adie, Angela Billard, Paul Buckland, Michael Frangos , Ben Long, Mar- tin Lucas, Paul Montague, Dean Philp

  17. ANALYSIS AND CONCEPTION DEVELOPMENT OF INFORMATION DEFENSE CID AND CLOUD PLATFORM ON THE BASE OF INTELLIGENCE TECHNOLOGIES

    Directory of Open Access Journals (Sweden)

    V. A. Vishniakov

    2014-01-01

    Full Text Available Two problems the use of intelligence technologies in information defense (ITID – creating specialized knowledge bases with threats simulation and high the security level in corporative nets and cloud computing are presented. The analysis of t wo directions of the second ITID problem: the intelligence decision support systems and the malt y-agent system use are given. As trends and conception development of intelligence technologies are the perfection of methods. models, architectures, and hard-sot ware tools for ITID in corporative systems and cloud computing.

  18. The process of developing audiovisual patient information: challenges and opportunities.

    Science.gov (United States)

    Hutchison, Catherine; McCreaddie, May

    2007-11-01

    The aim of this project was to produce audiovisual patient information, which was user friendly and fit for purpose. The purpose of the audiovisual patient information is to inform patients about randomized controlled trials, as a supplement to their trial-specific written information sheet. Audiovisual patient information is known to be an effective way of informing patients about treatment. User involvement is also recognized as being important in the development of service provision. The aim of this paper is (i) to describe and discuss the process of developing the audiovisual patient information and (ii) to highlight the challenges and opportunities, thereby identifying implications for practice. A future study will test the effectiveness of the audiovisual patient information in the cancer clinical trial setting. An advisory group was set up to oversee the project and provide guidance in relation to information content, level and delivery. An expert panel of two patients provided additional guidance and a dedicated operational team dealt with the logistics of the project including: ethics; finance; scriptwriting; filming; editing and intellectual property rights. Challenges included the limitations of filming in a busy clinical environment, restricted technical and financial resources, ethical needs and issues around copyright. There were, however, substantial opportunities that included utilizing creative skills, meaningfully involving patients, teamworking and mutual appreciation of clinical, multidisciplinary and technical expertise. Developing audiovisual patient information is an important area for nurses to be involved with. However, this must be performed within the context of the multiprofessional team. Teamworking, including patient involvement, is crucial as a wide variety of expertise is required. Many aspects of the process are transferable and will provide information and guidance for nurses, regardless of specialty, considering developing this

  19. Information Professionals as Intelligent Agents--Or When Is a Knowbot Only a Robot?

    Science.gov (United States)

    Hey, Jessie

    With the explosion in information resources being developed by computer scientists, subject specialists, librarians, and commercial companies, the challenge for the information professional is to keep abreast of the most significant developments and to distill the information for a wide range of users. This paper looks at some of the developments…

  20. Intelligent Electric Power Systems with Active-Adaptive Electric Networks: Challenges for Simulation Tools

    Directory of Open Access Journals (Sweden)

    Ufa Ruslan A.

    2015-01-01

    Full Text Available The motivation of the presented research is based on the needs for development of new methods and tools for adequate simulation of intelligent electric power systems with active-adaptive electric networks (IES including Flexible Alternating Current Transmission System (FACTS devices. The key requirements for the simulation were formed. The presented analysis of simulation results of IES confirms the need to use a hybrid modelling approach.

  1. The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey

    OpenAIRE

    Glauner, Patrick; Meira, Jorge Augusto; Valtchev, Petko; State, Radu; Bettinger, Franck

    2016-01-01

    Detection of non-technical losses (NTL) which include electricity theft, faulty meters or billing errors has attracted increasing attention from researchers in electrical engineering and computer science. NTLs cause significant harm to the economy, as in some countries they may range up to 40% of the total electricity distributed. The predominant research direction is employing artificial intelligence to predict whether a customer causes NTL. This paper first provides an overview ...

  2. Intelligent information database of the thermal-hydraulic characteristics for a future marine water reactor

    International Nuclear Information System (INIS)

    Inasaka, Fujio; Nariai, Hideki

    2000-01-01

    At the Ship Research Institute, a series of the experimental studies on the thermal-hydraulic characteristics of an integrated type marine water reactor has been conducted. This current study aims at developing an intelligent information database program with the thermal-hydraulic characteristics of a future marine water reactor on the basis of the valuably experimental knowledge, which was obtained from the above-mentioned studies. In this paper, the experimental knowledge with the flow boiling of a once-through steam generator and the natural circulation of primary water under a ship rolling motion was converted into an intelligent information database program. The program was created as a Windows application using the Visual Basic. Main functions of the program are as follows: (1) steady state flow boiling analysis and determination of stability for any helical-coil type once-through steam generator design, (2) reference and graphic display of the experimental data, (3) reference of the information such as analysis method and experimental apparatus. The program will be useful for the design of not only the future integrated type marine water reactor but also the small sized reactor with helical-coil type steam generator. (author)

  3. Maximising Organisational Information Sharing and Effective Intelligence Analysis in Critical Data Sets. A case study on the information science needs of the Norwegian criminal intelligence and law enforcement community

    OpenAIRE

    Wilhelmsen, Sonja

    2009-01-01

    Organisational information sharing has become more and more important as the amount of information grows. In order to accomplish the most effective and efficient sharing of information, analysis of the information needs and the organisation needs are vital. This dissertation focuses on the information needs sourced through the critical data sets of law enforcement organisations; specifically the Norwegian criminal intelligence and law enforcement community represented by the Na...

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

    Science.gov (United States)

    Saito, Yoshihito; Matsuo, Tokuro

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

  5. Ambient intelligence : visualising the future

    NARCIS (Netherlands)

    Aarts, E.H.L.

    2005-01-01

    Ambient Intelligence systems are aimed at making user-system interaction and content consumption a truly positive experience. The endless search for nifty information visualisation mechanism to squeeze yet one more piece of information onto a visual display is surpassed by the challenge to embed

  6. Perceived Task-Difficulty Recognition from Log-File Information for the Use in Adaptive Intelligent Tutoring Systems

    Science.gov (United States)

    Janning, Ruth; Schatten, Carlotta; Schmidt-Thieme, Lars

    2016-01-01

    Recognising students' emotion, affect or cognition is a relatively young field and still a challenging task in the area of intelligent tutoring systems. There are several ways to use the output of these recognition tasks within the system. The approach most often mentioned in the literature is using it for giving feedback to the students. The…

  7. Pilot Implementation of Health Information Systems: Issues and challenges

    DEFF Research Database (Denmark)

    Bansler, Jørgen Peter; Havn, Erling C.

    2010-01-01

    Objectives: This study aims to explore the issues and challenges involved in designing and organizing pilot implementations of health information systems (HIS). Pilot implementations are a widely used approach for identifying design flaws and implementation issues before full-scale deployment...... of conventional implementations; they are fundamentally different and they have their own complications and issues to deal with that make them hard to design and manage....

  8. Intelligent Control System Taking Account of Cooperativeness Using Weighting Information on System Objective

    Directory of Open Access Journals (Sweden)

    Masaki Takahashi

    2004-08-01

    Full Text Available This study considers an intelligent control system to integrate flexibly its components by using weighted information where the system evaluation is reflected. Such system evaluates the information flowing through the components and converts them by weighting depending on the degree of importance. Integration of components based on the system evaluation enables a system consisting of them to realize various, flexible and adaptive control. In this study, the intelligent control method is applied to a swing up and stabilization control problem of a number of cart and pendulum systems on a restricted straight guide. To stabilize the pendulum in a restricted environment, each system should realize not only a swing-up and stabilization control of the pendulum, but also a position control of the cart to avoid collision or deadlock. The experiment using a real apparatus demonstrated that the controller learning light interaction acquires egoistic character, the controller learning heavy interaction behaves altruistically, and the controller equally considering self cart and another cart becomes cooperative. In other words, these autonomous decentralized controllers can acquire various characters and flexibility for cooperation.

  9. Multi-Sensor Information Fusion for Optimizing Electric Bicycle Routes Using a Swarm Intelligence Algorithm

    Science.gov (United States)

    Villarubia, Gabriel; De Paz, Juan F.; Bajo, Javier

    2017-01-01

    The use of electric bikes (e-bikes) has grown in popularity, especially in large cities where overcrowding and traffic congestion are common. This paper proposes an intelligent engine management system for e-bikes which uses the information collected from sensors to optimize battery energy and time. The intelligent engine management system consists of a built-in network of sensors in the e-bike, which is used for multi-sensor data fusion; the collected data is analysed and fused and on the basis of this information the system can provide the user with optimal and personalized assistance. The user is given recommendations related to battery consumption, sensors, and other parameters associated with the route travelled, such as duration, speed, or variation in altitude. To provide a user with these recommendations, artificial neural networks are used to estimate speed and consumption for each of the segments of a route. These estimates are incorporated into evolutionary algorithms in order to make the optimizations. A comparative analysis of the results obtained has been conducted for when routes were travelled with and without the optimization system. From the experiments, it is evident that the use of an engine management system results in significant energy and time savings. Moreover, user satisfaction increases as the level of assistance adapts to user behavior and the characteristics of the route. PMID:29088087

  10. Multi-Sensor Information Fusion for Optimizing Electric Bicycle Routes Using a Swarm Intelligence Algorithm

    Directory of Open Access Journals (Sweden)

    Daniel H. De La Iglesia

    2017-10-01

    Full Text Available The use of electric bikes (e-bikes has grown in popularity, especially in large cities where overcrowding and traffic congestion are common. This paper proposes an intelligent engine management system for e-bikes which uses the information collected from sensors to optimize battery energy and time. The intelligent engine management system consists of a built-in network of sensors in the e-bike, which is used for multi-sensor data fusion; the collected data is analysed and fused and on the basis of this information the system can provide the user with optimal and personalized assistance. The user is given recommendations related to battery consumption, sensors, and other parameters associated with the route travelled, such as duration, speed, or variation in altitude. To provide a user with these recommendations, artificial neural networks are used to estimate speed and consumption for each of the segments of a route. These estimates are incorporated into evolutionary algorithms in order to make the optimizations. A comparative analysis of the results obtained has been conducted for when routes were travelled with and without the optimization system. From the experiments, it is evident that the use of an engine management system results in significant energy and time savings. Moreover, user satisfaction increases as the level of assistance adapts to user behavior and the characteristics of the route.

  11. Multi-Sensor Information Fusion for Optimizing Electric Bicycle Routes Using a Swarm Intelligence Algorithm.

    Science.gov (United States)

    De La Iglesia, Daniel H; Villarrubia, Gabriel; De Paz, Juan F; Bajo, Javier

    2017-10-31

    The use of electric bikes (e-bikes) has grown in popularity, especially in large cities where overcrowding and traffic congestion are common. This paper proposes an intelligent engine management system for e-bikes which uses the information collected from sensors to optimize battery energy and time. The intelligent engine management system consists of a built-in network of sensors in the e-bike, which is used for multi-sensor data fusion; the collected data is analysed and fused and on the basis of this information the system can provide the user with optimal and personalized assistance. The user is given recommendations related to battery consumption, sensors, and other parameters associated with the route travelled, such as duration, speed, or variation in altitude. To provide a user with these recommendations, artificial neural networks are used to estimate speed and consumption for each of the segments of a route. These estimates are incorporated into evolutionary algorithms in order to make the optimizations. A comparative analysis of the results obtained has been conducted for when routes were travelled with and without the optimization system. From the experiments, it is evident that the use of an engine management system results in significant energy and time savings. Moreover, user satisfaction increases as the level of assistance adapts to user behavior and the characteristics of the route.

  12. Medical Education Must Move from the Information Age to the Age of Artificial Intelligence.

    Science.gov (United States)

    Wartman, Steven A; Combs, C Donald

    2017-11-01

    Changes to the medical profession require medical education reforms that will enable physicians to more effectively enter contemporary practice. Proposals for such reforms abound. Common themes include renewed emphasis on communication, teamwork, risk-management, and patient safety. These reforms are important but insufficient. They do not adequately address the most fundamental change--the practice of medicine is rapidly transitioning from the information age to the age of artificial intelligence. Employers need physicians who: work at the top of their license, have knowledge spanning the health professions and care continuum, effectively leverage data platforms, focus on analyzing outcomes and improving performance, and communicate the meaning of the probabilities generated by massive amounts of data to patients given their unique human complexities.Future medical practice will have four characteristics that must be addressed in medical education: care will be (1) provided in many locations; (2) provided by newly-constituted health care teams; and (3) based on a growing array of data from multiple sources and artificial intelligence applications; and (4) the interface between medicine and machines will need to be skillfully managed. Thus, medical education must make better use of the findings of cognitive psychology, pay more attention to the alignment of humans and machines in education, and increase the use of simulations. Medical education will need to evolve to include systematic curricular attention to the organization of professional effort among health professionals, the use of intelligence tools like machine learning and robots, and a relentless focus on improving performance and patient outcomes. [end of abstract].

  13. A New Dimension of Business Intelligence: Location-based Intelligence

    OpenAIRE

    Zeljko Panian

    2012-01-01

    Through the course of this paper we define Locationbased Intelligence (LBI) which is outgrowing from process of amalgamation of geolocation and Business Intelligence. Amalgamating geolocation with traditional Business Intelligence (BI) results in a new dimension of BI named Location-based Intelligence. LBI is defined as leveraging unified location information for business intelligence. Collectively, enterprises can transform location data into business intelligence applic...

  14. Creating Intelligent Computer Workstation of a Freight Officer in a Single Information Space of Railway Transport: Synergetic Approach

    Science.gov (United States)

    Malybaev, Saken K.; Malaybaev, Nurlan S.; Isina, Botakoz M.; Kenzhekeeva, Akbope R.; Khuangan, Nurbol

    2016-01-01

    The article presents the results of researches aimed at the creation of automated workplaces for railway transport specialists with the help of intelligent information systems. The analysis of tendencies of information technologies development in the transport network was conducted. It was determined that the most effective approach is to create…

  15. A study on the Web intelligence

    Institute of Scientific and Technical Information of China (English)

    Sang-Geun Kim

    2004-01-01

    This paper surveys important aspects of Web Intelligence (WI). 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, systens, and activities. As a direction for scientific research and devlopment, WI can be extremely beneficial for the field of Artificial Intelligence in Education (AIED). This paper covers these issues only very briefly. It focuses more on other issues in WI, such as intelligent Web services, and semantic web, and proposes how to use them as basis for tackling new and challenging research problems in AIED.

  16. Situational Judgment Test Research: Informing the Debate on Practical Intelligence Theory

    Science.gov (United States)

    McDaniel, Michael A.; Whetzel, Deborah L.

    2005-01-01

    [Gottfredson, L. S. (2003). Dissecting practical intelligence theory: Its claims and evidence. Intelligence, 31, 343-397.] provided a detailed critique of Sternberg's [Sternberg, R. J., Fotsythe, G. B., Hedlund, J., Horvath, J. A., Wagner, R. K., Williams, W. M., Snook, S. A., Grigorenko, E. L. (2000). Practical intelligence in everyday life. New…

  17. 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.

  18. SAMS--a systems architecture for developing intelligent health information systems.

    Science.gov (United States)

    Yılmaz, Özgün; Erdur, Rıza Cenk; Türksever, Mustafa

    2013-12-01

    In this paper, SAMS, a novel health information system architecture for developing intelligent health information systems is proposed and also some strategies for developing such systems are discussed. The systems fulfilling this architecture will be able to store electronic health records of the patients using OWL ontologies, share patient records among different hospitals and provide physicians expertise to assist them in making decisions. The system is intelligent because it is rule-based, makes use of rule-based reasoning and has the ability to learn and evolve itself. The learning capability is provided by extracting rules from previously given decisions by the physicians and then adding the extracted rules to the system. The proposed system is novel and original in all of these aspects. As a case study, a system is implemented conforming to SAMS architecture for use by dentists in the dental domain. The use of the developed system is described with a scenario. For evaluation, the developed dental information system will be used and tried by a group of dentists. The development of this system proves the applicability of SAMS architecture. By getting decision support from a system derived from this architecture, the cognitive gap between experienced and inexperienced physicians can be compensated. Thus, patient satisfaction can be achieved, inexperienced physicians are supported in decision making and the personnel can improve their knowledge. A physician can diagnose a case, which he/she has never diagnosed before, using this system. With the help of this system, it will be possible to store general domain knowledge in this system and the personnel's need to medical guideline documents will be reduced.

  19. Intelligent Internet-based information system optimises diabetes mellitus management in communities.

    Science.gov (United States)

    Wei, Xuejuan; Wu, Hao; Cui, Shuqi; Ge, Caiying; Wang, Li; Jia, Hongyan; Liang, Wannian

    2018-05-01

    To evaluate the effect of an intelligent Internet-based information system upon optimising the management of patients diagnosed with type 2 diabetes mellitus (T2DM). In 2015, a T2DM information system was introduced to optimise the management of T2DM patients for 1 year in Fangzhuang community of Beijing, China. A total of 602 T2DM patients who were registered in the health service centre of Fangzhuang community were enrolled based on an isometric sampling technique. The data from 587 patients were used in the final analysis. The intervention effect was subsequently assessed by statistically comparing multiple parameters, such as the prevalence of glycaemic control, standard health management and annual outpatient consultation visits per person, before and after the implementation of the T2DM information system. In 2015, a total of 1668 T2DM patients were newly registered in Fangzhuang community. The glycaemic control rate was calculated as 37.65% in 2014 and significantly elevated up to 62.35% in 2015 ( p information system, the rate of standard health management was increased from 48.04% to 85.01% ( p information system optimised the management of T2DM patients in Fangzhuang community and decreased the outpatient numbers in both community and general hospitals, which played a positive role in assisting T2DM patients and their healthcare providers to better manage this chronic illness.

  20. Information Dissemination of Public Health Emergency on Social Networks and Intelligent Computation

    Directory of Open Access Journals (Sweden)

    Hongzhi Hu

    2015-01-01

    Full Text Available Due to the extensive social influence, public health emergency has attracted great attention in today’s society. The booming social network is becoming a main information dissemination platform of those events and caused high concerns in emergency management, among which a good prediction of information dissemination in social networks is necessary for estimating the event’s social impacts and making a proper strategy. However, information dissemination is largely affected by complex interactive activities and group behaviors in social network; the existing methods and models are limited to achieve a satisfactory prediction result due to the open changeable social connections and uncertain information processing behaviors. ACP (artificial societies, computational experiments, and parallel execution provides an effective way to simulate the real situation. In order to obtain better information dissemination prediction in social networks, this paper proposes an intelligent computation method under the framework of TDF (Theory-Data-Feedback based on ACP simulation system which was successfully applied to the analysis of A (H1N1 Flu emergency.

  1. Information Dissemination of Public Health Emergency on Social Networks and Intelligent Computation.

    Science.gov (United States)

    Hu, Hongzhi; Mao, Huajuan; Hu, Xiaohua; Hu, Feng; Sun, Xuemin; Jing, Zaiping; Duan, Yunsuo

    2015-01-01

    Due to the extensive social influence, public health emergency has attracted great attention in today's society. The booming social network is becoming a main information dissemination platform of those events and caused high concerns in emergency management, among which a good prediction of information dissemination in social networks is necessary for estimating the event's social impacts and making a proper strategy. However, information dissemination is largely affected by complex interactive activities and group behaviors in social network; the existing methods and models are limited to achieve a satisfactory prediction result due to the open changeable social connections and uncertain information processing behaviors. ACP (artificial societies, computational experiments, and parallel execution) provides an effective way to simulate the real situation. In order to obtain better information dissemination prediction in social networks, this paper proposes an intelligent computation method under the framework of TDF (Theory-Data-Feedback) based on ACP simulation system which was successfully applied to the analysis of A (H1N1) Flu emergency.

  2. Intelligent Management System of Power Network Information Collection Under Big Data Storage

    Directory of Open Access Journals (Sweden)

    Qin Yingying

    2017-01-01

    Full Text Available With the development of economy and society, big data storage in enterprise management has become a problem that can’t be ignored. How to manage and optimize the allocation of tasks better is an important factor in the sustainable development of an enterprise. Now the enterprise information intelligent management has become a hot spot of management mode and concept in the information age. It presents information to the business managers in a more efficient, lower cost, and global form. The system uses the SG-UAP development tools, which is based on Eclipse development environment, and suits for Windows operating system, with Oracle as database development platform, Tomcat network information service for application server. The system uses SOA service-oriented architecture, provides RESTful style service, and HTTP(S as the communication protocol, and JSON as the data format. The system is divided into two parts, the front-end and the backs-end, achieved functions like user login, registration, password retrieving, enterprise internal personnel information management and internal data display and other functions.

  3. Intelligent Information System for Waste Management; Jaetehuollon aelykaes tietojaerjestelmae - iWaste

    Energy Technology Data Exchange (ETDEWEB)

    Mustonen, T. [Kuopio Univ. (Finland); Isoaho, S. [Tampere Univ. (Finland)

    2004-07-01

    ''Waste'' - Intelligent Information System for Waste Management - is a joint project of the University of Kuopio and the Tampere University of Technology. The main objective of the project is to create a basis for more comprehensive utilisation and management of waste management data and for the development of database management systems. The results of the project are numerous. A study of the present state of data management in the field of waste management was carried out. The studied aspects were for example information needs of different actors and their requirements for the information quality, interfaces for information exchange between different actors, and the characteristics of the software products. During the second phase of the project, a hyper document describing waste management systems, and a software application for describing material flows and their management will be finalized. Also methodologies and practices for processing data into information, which is needed in the decision making process, will be developed. The developed methodologies include e.g. data mining techniques, and the practices include e.g. the prediction of waste generation and optimisation of waste collection and transport. (orig.)

  4. 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.

  5. Can Intelligence Testing Inform Educational Intervention for Children with Reading Disability?

    Directory of Open Access Journals (Sweden)

    Julian G. Elliott

    2015-11-01

    Full Text Available This paper examines the value of intelligence testing for the purpose of informing us how best to intervene with children with reading disability. While the original function of IQ testing was to ascertain whether a child was capable of profiting from schooling, there are many who now claim that cognitive assessment offers a range of diagnostic and prescriptive functions which can help teachers in delivering effective educational programs. This paper interrogates such assertions in relation to the assessment of IQ, cognitive strengths and weaknesses, executive functions, and the use of dynamic testing/assessment. The paper concludes that current evidence indicates that cognitive measures have limited relevance for instructional planning, and cognitive training programs have yet to show sufficient academic gains. For these reasons, it is recommended that our energies should be directed to the continuing development of powerful forms of academic skills-based instruction operating within a response to intervention framework.

  6. Development of Food Security Information System Based on Business Intelligence in Food Security Agency, Ministry of Agriculture, Indonesia

    OpenAIRE

    Hendrawaty, Manise; Harisno, Harisno

    2014-01-01

    Food is the main basic need of human, because of that fulfillment of human need of food has to be fulfilled. So it can fulfill that need, then government institution, Food Security Agency (BKP) is formed so it can monitor fulfillment of food need of society. The goals of this writing are to develop food security information system that provides dashboard facility based on business intelligence, to develop food security information system that can give fast, precise and real time information a...

  7. SOCIAL MEDIA INTELLIGENCE: OPPORTUNITIES AND LIMITATIONS

    Directory of Open Access Journals (Sweden)

    Adrian Liviu IVAN

    2015-09-01

    Full Text Available An important part of the reform of the intelligence community is felt in the opening linked with the widening spectrum of methods and spaces which can be used to collect and analyse dates and information. One of these methods that produce large mutations in the system is connected to the world of social media which proves to be a huge source of information. Social Media Intelligence (SOCMINT, the newest member of the family INT's, is undoubtedly a separate domain, a practice rooted in the work of the intelligence community. This paper proposes a general characterization of the most important aspects of Social Media Intelligence, a brand new way for the intelligence community to collect and analyse information for national security purposes (but not only in the context of the current global challenges. Moreover, the work is focused in identifying the further limitations and opportunities of this practice in the upcoming decade.

  8. The challenge of effectively communicating patient safety information.

    Science.gov (United States)

    Hugman, Bruce; Edwards, I Ralph

    2006-07-01

    Rational use of drugs and patient safety are seriously compromised by a lack of good information, education and effective communication at all stages of drug development and use. From animal trials through to dispensing, there are misconceptions and opportunities for error which current methods of drug information communication do not adequately address: they do not provide those responsible for prescribing and dispensing drugs with the data and information they need to pass on complex and often changing messages to patients and the public. The incidence of adverse reactions due to the way drugs are used; the variable impact of regulatory guidelines and warnings on prescribing behaviour; drug scares and crises suggest a great gap between the ideals of the safe use of medicines and the reality in homes, clinics and hospitals around the world. To address these challenges, the authors review the several levels at which safety information is generated and communicated, and examine how, at each stage, the content and its significance, and the method of communication can be improved.

  9. Information gathering, management and transferring for geospatial intelligence - A conceptual approach to create a spatial data infrastructure

    Science.gov (United States)

    Nunes, Paulo; Correia, Anacleto; Teodoro, M. Filomena

    2017-06-01

    Since long ago, information is a key factor for military organizations. In military context the success of joint and combined operations depends on the accurate information and knowledge flow concerning the operational theatre: provision of resources, environment evolution, targets' location, where and when an event will occur. Modern military operations cannot be conceive without maps and geospatial information. Staffs and forces on the field request large volume of information during the planning and execution process, horizontal and vertical geospatial information integration is critical for decision cycle. Information and knowledge management are fundamental to clarify an environment full of uncertainty. Geospatial information (GI) management rises as a branch of information and knowledge management, responsible for the conversion process from raw data collect by human or electronic sensors to knowledge. Geospatial information and intelligence systems allow us to integrate all other forms of intelligence and act as a main platform to process and display geospatial-time referenced events. Combining explicit knowledge with person know-how to generate a continuous learning cycle that supports real time decisions, mitigates the influences of fog of war and provides the knowledge supremacy. This paper presents the analysis done after applying a questionnaire and interviews about the GI and intelligence management in a military organization. The study intended to identify the stakeholder's requirements for a military spatial data infrastructure as well as the requirements for a future software system development.

  10. Prediction of Intelligibility of Noisy and Time-Frequency Weighted Speech based on Mutual Information Between Amplitude Envelopes

    DEFF Research Database (Denmark)

    Jensen, Jesper; Taal, C.H.

    2013-01-01

    of Shannon information the critical-band amplitude envelopes of the noisy/processed signal convey about the corresponding clean signal envelopes. The resulting intelligibility predictor turns out to be a simple function of the correlation between noisy/processed and clean amplitude envelopes. The proposed...

  11. Information Design for “Weak Signal” detection and processing in Economic Intelligence: A case study on Health resources

    Directory of Open Access Journals (Sweden)

    Sahbi Sidhom

    2011-12-01

    Full Text Available The topics of this research cover all phases of “Information Design” applied to detect and profit from weak signals in economic intelligence (EI or business intelligence (BI. The field of the information design (ID applies to the process of translating complex, unorganized or unstructured data into valuable and meaningful information. ID practice requires an interdisciplinary approach, which combines skills in graphic design (writing, analysis processing and editing, human performances technology and human factors. Applied in the context of information system, it allows end-users to easily detect implicit topics known as “weak signals” (WS. In our approach to implement the ID, the processes cover the development of a knowledge management (KM process in the context of EI. A case study concerning information monitoring health resources is presented using ID processes to outline weak signals. Both French and American bibliographic databases were applied to make the connection to multilingual concepts in the health watch process.

  12. Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information

    Science.gov (United States)

    Yang, Tiantian; Asanjan, Ata Akbari; Welles, Edwin; Gao, Xiaogang; Sorooshian, Soroosh; Liu, Xiaomang

    2017-04-01

    Reservoirs are fundamental human-built infrastructures that collect, store, and deliver fresh surface water in a timely manner for many purposes. Efficient reservoir operation requires policy makers and operators to understand how reservoir inflows are changing under different hydrological and climatic conditions to enable forecast-informed operations. Over the last decade, the uses of Artificial Intelligence and Data Mining [AI & DM] techniques in assisting reservoir streamflow subseasonal to seasonal forecasts have been increasing. In this study, Random Forest [RF), Artificial Neural Network (ANN), and Support Vector Regression (SVR) are employed and compared with respect to their capabilities for predicting 1 month-ahead reservoir inflows for two headwater reservoirs in USA and China. Both current and lagged hydrological information and 17 known climate phenomenon indices, i.e., PDO and ENSO, etc., are selected as predictors for simulating reservoir inflows. Results show (1) three methods are capable of providing monthly reservoir inflows with satisfactory statistics; (2) the results obtained by Random Forest have the best statistical performances compared with the other two methods; (3) another advantage of Random Forest algorithm is its capability of interpreting raw model inputs; (4) climate phenomenon indices are useful in assisting monthly or seasonal forecasts of reservoir inflow; and (5) different climate conditions are autocorrelated with up to several months, and the climatic information and their lags are cross correlated with local hydrological conditions in our case studies.

  13. Use of Business Intelligence as a Strategic Information Technology in Banking: Farud Discovery & Detection

    Directory of Open Access Journals (Sweden)

    علی محقر

    2009-02-01

    Full Text Available In today?s competitive, complex and rapidly changing business world, based on information, it is very essential to have timely and accurate insight of business conditions and activities to check whether they are healthy and according to business norms. Information obviously plays a critical role to have this insight and it can only be of avail, if it is directional, focused, timely and easily accessible and also if it gives both the macro/strategic and the micro/operational view of the company. Due to the advancement in information technology, state-of-the-art technologies like business intelligence (BI have been developed to provide us the above features. This paper provides reader an insight of BI and its strategic importance. It also explains how BI can be effective technology in industries like banking to overcome critical issue like fraud discovery and detection. The methodology, based on BI, in the form of model named BI model for fraud discovery and detection has been devised and suggested at the end of paper along with it its details for overcoming the above mentioned issue in more effective and efficient manner.

  14. An Intelligent Information Retrieval Approach Based on Two Degrees of Uncertainty Fuzzy Ontology

    Directory of Open Access Journals (Sweden)

    Maryam Hourali

    2011-01-01

    Full Text Available In spite of the voluminous studies in the field of intelligent retrieval systems, effective retrieving of information has been remained an important unsolved problem. Implementations of different conceptual knowledge in the information retrieval process such as ontology have been considered as a solution to enhance the quality of results. Furthermore, the conceptual formalism supported by typical ontology may not be sufficient to represent uncertainty information due to the lack of clear-cut boundaries between concepts of the domains. To tackle this type of problems, one possible solution is to insert fuzzy logic into ontology construction process. In this article, a novel approach for fuzzy ontology generation with two uncertainty degrees is proposed. Hence, by implementing linguistic variables, uncertainty level in domain's concepts (Software Maintenance Engineering (SME domain has been modeled, and ontology relations have been modeled by fuzzy theory consequently. Then, we combined these uncertain models and proposed a new ontology with two degrees of uncertainty both in concept expression and relation expression. The generated fuzzy ontology was implemented for expansion of initial user's queries in SME domain. Experimental results showed that the proposed model has better overall retrieval performance comparing to keyword-based or crisp ontology-based retrieval systems.

  15. Image intelligence online consulting: A flexible and remote access to strategic information applied to verification of declaration

    International Nuclear Information System (INIS)

    Chassy, A.F. de; Denizot, L.

    2001-01-01

    Commercial satellite imagery is giving International Institutions specialized Information Departments access to a great source of valuable intelligence. High resolution and multiple sensors have also led to a growing complexity of interpretation that calls for a greater need of consulting, verification and training in the field in order to make it eligible as an operational source of verification. Responding to this need, Fleximage is extending its Image intelligence (IMINT) training program to include a fully operational and flexible online consulting and training program. Image Intelligence (IMINT) Online Program, a new approach to acquiring IMINT expertise, supported by Internet technologies, and managed by a professional team of experts and technical staff. Fleximage has developed a virtual learning environment on the Internet for acquiring IMINT expertise. Called the IMINT Online Program, this dynamic learning environment provides complete flexibility and personalization of the process for acquiring expertise. The IMINT online program includes two services: Online Consulting and Online Training. The Online Consulting service is designed for the technical staff of an organization who are already operational in the field of image intelligence. Online Consulting enables these staff members to acquire pertinent expertise online that can be directly applied to their professional activity, such as IAEA verification tasks. The Online Training service is designed for the technical staff of an organization who are relatively new to the field of image intelligence. These staff members need to build expertise within a formal training program. Online Training is a flexible and structured program for acquiring IMINT expertise online

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

    Directory of Open Access Journals (Sweden)

    Sofiia Yakubovska

    2017-11-01

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

  17. Finding competitive intelligence on Internet start-up companies: a study of secondary resource use and information-seeking processes

    Directory of Open Access Journals (Sweden)

    2001-01-01

    Full Text Available The paper reports findings from a study of CI activities involving Internet start-up companies in the telecommunications industry. The CI gathering was conducted by graduate students in library and information science in the context of a class project for a real business client, itself a small Internet start-up company. The primary objective of the study was to provide empirical insights into the applicability of specific types of secondary information resources to finding competitive intelligence information on small Internet start-up companies. An additional objective was to identify the characteristics of research strategies applied in the collection of CI on Internet start-ups from the perspective of current conceptual frameworks of information-seeking behaviour presented in the library and information science literature. This study revealed some interesting findings regarding the types of secondary information resources that can be used to find competitive intelligence on small, Internet start-up companies. The study also provided insight into the characteristics of the overall information-seeking strategies that are applied in this type of competitive intelligence research.

  18. The value of information: Current challenges in surveillance implementation.

    Science.gov (United States)

    Stärk, Katharina D C; Häsler, Barbara

    2015-11-01

    Animal health surveillance is a complex activity that involves multiple stakeholders and provides decision support across sectors. Despite progress in the design of surveillance systems, some technical challenges remain, specifically for emerging hazards. Surveillance can also be impacted by political interests and costly consequences of case reporting, particularly in relation to international trade. Constraints on surveillance can therefore be of technical, economic and political nature. From an economic perspective, both surveillance and intervention are resource-using activities that are part of a mitigation strategy. Surveillance provides information for intervention decisions and thereby helps to offset negative effects of animal disease and to reduce the decision uncertainty associated with choices on disease control. It thus creates monetary and non-monetary benefits, both of which may be challenging to quantify. The technical relationships between surveillance, intervention and loss avoidance have not been established for most hazards despite being important consideration for investment decisions. Therefore, surveillance cannot just be maximised to minimise intervention costs. Economic appraisals of surveillance need to be done on a case by case basis for any hazard considering both surveillance and intervention performance, the losses avoided and the values attached to them. This can be achieved by using an evaluation approach which provides a systematic investigation of the worth or merit of surveillance activities. Evaluation is driven by a specific evaluation question which for surveillance systems commonly considers effectiveness, efficiency, implementation and/or compliance issues. More work is needed to provide guidance on the appropriate selection of evaluation attributes and general good practice in surveillance evaluation. Due to technical challenges, economic constraints and variable levels of capacity, the implementation of surveillance systems

  19. How Students' Beliefs about Their Intelligence Influence Their Academic Performance. Information Capsule. Volume 1012

    Science.gov (United States)

    Blazer, Christie

    2011-01-01

    Students' academic success may be influenced not only by their actual ability, but also by their beliefs about their intelligence. Studies have found that students enter a classroom with one of two distinct conceptions of their intellectual ability: some students believe their intelligence is expandable (growth mindset), while others believe their…

  20. Intelligence, Academic Self-Concept, and Information Literacy: The Role of Adequate Perceptions of Academic Ability in the Acquisition of Knowledge about Information Searching

    Science.gov (United States)

    Rosman, Tom; Mayer, Anne-Kathrin; Krampen, Günter

    2015-01-01

    Introduction: The present paper argues that adequate self-perceptions of academic ability are essential for students' realization of their intellectual potential, thereby fostering learning of complex skills, e.g., information-seeking skills. Thus, academic self-concept should moderate the relationship between intelligence and information…

  1. Status, Vision, and Challenges of an Intelligent Distributed Engine Control Architecture

    Science.gov (United States)

    Behbahani, Alireza; Culley, Dennis; Garg, Sanjay; Millar, Richard; Smith, Bert; Wood, Jim; Mahoney, Tim; Quinn, Ronald; Carpenter, Sheldon; Mailander, Bill; hide

    2007-01-01

    A Distributed Engine Control Working Group (DECWG) consisting of the Department of Defense (DoD), the National Aeronautics and Space Administration (NASA) Glenn Research Center (GRC) and industry has been formed to examine the current and future requirements of propulsion engine systems. The scope of this study will include an assessment of the paradigm shift from centralized engine control architecture to an architecture based on distributed control utilizing open system standards. Included will be a description of the work begun in the 1990's, which continues today, followed by the identification of the remaining technical challenges which present barriers to on-engine distributed control.

  2. Quality control of intelligence research

    International Nuclear Information System (INIS)

    Lu Yan; Xin Pingping; Wu Jian

    2014-01-01

    Quality control of intelligence research is the core issue of intelligence management, is a problem in study of information science This paper focuses on the performance of intelligence to explain the significance of intelligence research quality control. In summing up the results of the study on the basis of the analysis, discusses quality control methods in intelligence research, introduces the experience of foreign intelligence research quality control, proposes some recommendations to improve quality control in intelligence research. (authors)

  3. The challenge of contracting for technological information

    Science.gov (United States)

    Zeckhauser, Richard

    1996-01-01

    Contracting to provide technological information (TI) is a significant challenge. TI is an unusual commodity in five ways. (i) TI is difficult to count and value; conventional indicators, such as patents and citations, hardly indicate value. TI is often sold at different prices to different parties. (ii) To value TI, it may be necessary to “give away the secret.” This danger, despite nondisclosure agreements, inhibits efforts to market TI. (iii) To prove its value, TI is often bundled into complete products, such as a computer chip or pharmaceutical product. Efficient exchange, by contrast, would involve merely the raw information. (iv) Sellers’ superior knowledge about TI’s value make buyers wary of overpaying. (v) Inefficient contracts are often designed to secure rents from TI. For example, licensing agreements charge more than marginal cost. These contracting difficulties affect the way TI is produced, encouraging self-reliance. This should be an advantage to large firms. However, small research and development firms spend more per employee than large firms, and nonprofit universities are major producers. Networks of organizational relationships, particularly between universities and industry, are critical in transmitting TI. Implicit barter—money for guidance—is common. Property rights for TI are hard to establish. Patents, quite suitable for better mousetraps, are inadequate for an era when we design better mice. Much TI is not patented, and what is patented sets fuzzy demarcations. New organizational forms are a promising approach to contracting difficulties for TI. Webs of relationships, formal and informal, involving universities, start-up firms, corporate giants, and venture capitalists play a major role in facilitating the production and spread of TI. PMID:8917488

  4. The Challenge of New and Emerging Information Operations

    National Research Council Canada - National Science Library

    Heath, James E; Woodcock, Alexander E

    1999-01-01

    Information operations as defined in Joint Publication 3-13 of the Joint Staff (1998) are aimed at influencing the information and information systems of an adversary and defending one's own information and information systems...

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

    Directory of Open Access Journals (Sweden)

    Barbara Coelho Neves

    2012-04-01

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

  6. The Department of Homeland Security Intelligence Enterprise: Operational Overview and Oversight Challenges for Congress

    Science.gov (United States)

    2010-03-19

    trends. This report was designed to support the BEST’s and other operational components in planning and conducting outbound firearms smuggling...operations throughout the homeland and overseas through executing procurement, budget, logistics , and training functions. The Executive Information and...shooting and bombing rampage at two hotels , a railway station, hospital, Jewish Center, cafe, and cinema. 164 were killed. All of these attacks

  7. Forensic intelligence framework. Part II: Study of the main generic building blocks and challenges through the examples of illicit drugs and false identity documents monitoring.

    Science.gov (United States)

    Baechler, Simon; Morelato, Marie; Ribaux, Olivier; Beavis, Alison; Tahtouh, Mark; Kirkbride, K Paul; Esseiva, Pierre; Margot, Pierre; Roux, Claude

    2015-05-01

    The development of forensic intelligence relies on the expression of suitable models that better represent the contribution of forensic intelligence in relation to the criminal justice system, policing and security. Such models assist in comparing and evaluating methods and new technologies, provide transparency and foster the development of new applications. Interestingly, strong similarities between two separate projects focusing on specific forensic science areas were recently observed. These observations have led to the induction of a general model (Part I) that could guide the use of any forensic science case data in an intelligence perspective. The present article builds upon this general approach by focusing on decisional and organisational issues. The article investigates the comparison process and evaluation system that lay at the heart of the forensic intelligence framework, advocating scientific decision criteria and a structured but flexible and dynamic architecture. These building blocks are crucial and clearly lay within the expertise of forensic scientists. However, it is only part of the problem. Forensic intelligence includes other blocks with their respective interactions, decision points and tensions (e.g. regarding how to guide detection and how to integrate forensic information with other information). Formalising these blocks identifies many questions and potential answers. Addressing these questions is essential for the progress of the discipline. Such a process requires clarifying the role and place of the forensic scientist within the whole process and their relationship to other stakeholders. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  8. Moving along the risk-informed path - drivers and challenges

    International Nuclear Information System (INIS)

    Petrella, S.; Dermarkar, F.; Austman, D.; Chun, R.

    2004-01-01

    The use of risk criteria and information has always been an important component of the licensing of nuclear reactors in Ontario. Early applications included the development of Safety Design Matrices in the early 80's for more comprehensive design reviews, the use of the Darlington Probabilistic Safety Evaluation in the late-80's to support the C-6 event categorization process for the initial Darlington licensing, and the use of risk-insights, along with cost benefit criteria, to evaluate design options for the Pickering A special safety system design retrofits and modifications, such as Shutdown System (SDS) enhancement and Emergency Coolant Injection System (ECIS) upgrades. Operational uses have included the management of outage risk, the review of containment test frequencies, and the review of abnormal operating configurations such as maintenance of electrical power supplies. It is envisaged that such applications will continue, aided by the continued development of Probabilistic Risk Assessments techniques. To provide enhanced assurance of safety, to evaluate current and new safety-related issues as they arise, and to realize the full safety and economic benefits of risk-insights, OPG and Bruce Power have, along with their Industry partners, embarked on a path to further increase the use of risk-information in the operation and licensing of their reactors. Drivers include the resolution of long standing safety analysis issues surrounding LBLOCA analyses and generic action items, the application of risk-insights to guide the response to design, inspection, and analysis findings, and the optimization of operating, maintenance, and testing programs. As well, a major near term driver is input to plant refurbishment decisions. In moving to a more risk-informed approach to safety assessment, challenges include developing and implementing the required suite of concepts, tools, processes and criteria, and reconciling the current largely deterministic approach to safety

  9. Efficiency promotion for an on-ramp system based on intelligent transportation system information

    International Nuclear Information System (INIS)

    Dong-Fan, Xie; Zi-You, Gao; Xiao-Mei, Zhao

    2010-01-01

    The effect of cars with intelligent transportation systems (ITSs) on traffic flow near an on-ramp is investigated by car-following simulations. By numerical simulations, the dependences of flux on the inflow rate are investigated for various proportions of cars with ITSs. The phase diagrams as well as the spatiotemporal diagrams are presented to show different traffic flow states on the main road and the on-ramp. The results show that the saturated flux on the main road increases and the free flow region is enlarged with the increase of the proportion of cars with ITS. Interestingly, the congested regions of the main road disappear completely when the proportion is larger than a critical value. Further investigation shows that the capacity of the on-ramp system can be promoted by 13% by using the ITS information, and the saturated flux on the on-ramp can be kept at an appropriate value by adjusting the proportion of cars with ITS. (general)

  10. Intelligent Bioreactor Management Information System (IBM-IS) for Mitigation of Greenhouse Gas Emissions

    Energy Technology Data Exchange (ETDEWEB)

    Paul Imhoff; Ramin Yazdani; Don Augenstein; Harold Bentley; Pei Chiu

    2010-04-30

    Methane is an important contributor to global warming with a total climate forcing estimated to be close to 20% that of carbon dioxide (CO2) over the past two decades. The largest anthropogenic source of methane in the US is 'conventional' landfills, which account for over 30% of anthropogenic emissions. While controlling greenhouse gas emissions must necessarily focus on large CO2 sources, attention to reducing CH4 emissions from landfills can result in significant reductions in greenhouse gas emissions at low cost. For example, the use of 'controlled' or bioreactor landfilling has been estimated to reduce annual US greenhouse emissions by about 15-30 million tons of CO2 carbon (equivalent) at costs between $3-13/ton carbon. In this project we developed or advanced new management approaches, landfill designs, and landfill operating procedures for bioreactor landfills. These advances are needed to address lingering concerns about bioreactor landfills (e.g., efficient collection of increased CH4 generation) in the waste management industry, concerns that hamper bioreactor implementation and the consequent reductions in CH4 emissions. Collectively, the advances described in this report should result in better control of bioreactor landfills and reductions in CH4 emissions. Several advances are important components of an Intelligent Bioreactor Management Information System (IBM-IS).

  11. THE INTEREST OF GEOGRAPHICAL INFORMATION, ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY FOR THE UNDERGROUND NETWORK REPRESENTATION

    Directory of Open Access Journals (Sweden)

    M. Lacroix

    2016-01-01

    Full Text Available Two years ago, 63 people died and more than 150 were seriously injured in Beijing (China because of damage to a hydrocarbon pipeline. Urban networks are invisible because usually buried between 1 and 1,5 meters underground. They should be identified to prevent such accidents which involve workers as well as the public. Rural and urban districts, network concessionaries and contractors: everyone could benefit from their networks becoming safer. To prevent such accidents and protect workers and the public as well, some new regulations propose to identify and secure the buried networks. That’s why it is important to develop a software which deals with the risk management process and also about the risk visualization. This work is structured around three major sections:– the utility of the Geographical Information to determine the minimal distances and the topological relations between the networks themselves, and also with the other element in their vicinity;– the use of some Artificial Intelligence tools, and more particularly of Expert System, to take the current regulation into account and determine the accident risk probability;– the contribution of virtual reality to perceive the underground world.

  12. 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…

  13. Experiences and challenges of informal caregiving for Korean immigrants.

    Science.gov (United States)

    Han, Hae-Ra; Choi, Yun Jung; Kim, Miyong T; Lee, Jong Eun; Kim, Kim B

    2008-09-01

    This paper is a report of a study designed to explore the caregiving experiences of Korean Americans. Increasing numbers of older people in the Asian population place important long-term care demands on Asian caregivers, yet minimal attention has been given to the issue of caregiving in this group. The current study attempts to fill the gap by describing Korean American caregivers' unique caregiving experiences from their perspectives. A qualitative research design using a focus group approach was employed to discuss caregiving experiences in a cultural context. Data were collected over an 8-month period in 2005. Twenty-four informants, mostly women, at varying points surrounding caregiving participated in a focus group interview. Each focus group lasted about 1 (1/2)-2 hours. Thematic analysis was conducted by two bilingual researchers. Three key themes were identified: the caregiver role - competing priorities and beliefs, the extent and impact of caregiving, and the need for education and culturally-tailored support systems. Ten subthemes were identified within the three major themes: (1) facing double challenges; (2) changing attitudes about filial piety (Hyo); (3) providing care; (4) feeling out of control; (5) going through changing family dynamics; (6) being connected vs. providing connection; (7) paying back; (8) learning by themselves; (9) recognizing differences and (10) reconsidering geriatric care systems. The caregiving experiences described by Korean American families point to the need to identify and develop more focused outreach programmes as well as more culturally appropriate support services for this rapidly increasing population.

  14. Image intelligence online consulting: A flexible and remote access to strategic information applied to verification of declaration

    International Nuclear Information System (INIS)

    Chassy, A.F. de; Denizot, L.

    2001-01-01

    Commercial satellite imagery is giving International Institutions specialized Information Departments access to a great source of valuable intelligence. High resolution and multiple sensors have also led to a growing complexity of interpretation that calls for a greater need of consulting, verification and training in the field in order to make it eligible as an operational source of verification. Responding to this need, Fleximage is extending its Image Intelligence (IMINT) training program to include a fully operational and flexible online consulting and training program. Image Intelligence (IMINT) Online Program, a new approach to acquiring IMINT expertise, supported by Internet technologies, and managed by a professional team of experts and technical staff. Fleximage has developed a virtual learning environment on the Internet for acquiring IMINT expertise. Called the IMINT Online Program, this dynamic learning environment provides complete flexibility and personalization of the process for acquiring expertise. The IMINT online program includes two services: Online Consulting and Online Training. The Online Consulting service is designed for the technical staff of an organization who are already operational in the field of image intelligence. Online Consulting enables these staff members to acquire pertinent expertise online that can be directly applied to their professional activity, such as IAEA verification tasks. The IMINT virtual Consulting and Training services indicated above are made possible thanks to the latest in Internet-based technologies including: multimedia CD-ROM, Internet technologies, rich media content (Audio, Video and Flash), application sharing, platform Maintenance Tools, secured connections and authentication, knowledge database technologies. IMINT Online Program operates owing to: specialized experts in fields relating to IMINT. These experts carry out the tasks of consultants, coaches, occasional speakers, and course content designers

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

    National Research Council Canada - National Science Library

    Soderberg, Eric; Glenney, William

    2007-01-01

    .... At a time when the threat environment has shifted in emphasis to COIN, terrorism, and cyber war, IT-enhanced data mining capabilities could provide some of the critical intelligence demanded by these types of threats...

  16. IntelligentPad for exchanging and reusing nuclear reaction data information as shared resources

    International Nuclear Information System (INIS)

    Chiba, Masaki

    1996-01-01

    As an application of the IntelligentPad system, the NRDF database system is redesigned and developed. In the system, every component of the user interface is represented by reactive media objects called Pad. The exploitation of the IntelligentPad architecture in developing the system enhances the usability and reusability of the tools developed. Several pads specially designed for the NRDF database system are shown together with the examples of how to use them. (author)

  17. The Security Challenges in the IoT Enabled Cyber-Physical Systems and Opportunities for Evolutionary Computing & Other Computational Intelligence

    OpenAIRE

    He, H.; Maple, C.; Watson, T.; Tiwari, A.; Mehnen, J.; Jin, Y.; Gabrys, Bogdan

    2016-01-01

    Internet of Things (IoT) has given rise to the fourth industrial revolution (Industrie 4.0), and it brings great benefits by connecting people, processes and data. However, cybersecurity has become a critical challenge in the IoT enabled cyber physical systems, from connected supply chain, Big Data produced by huge amount of IoT devices, to industry control systems. Evolutionary computation combining with other computational intelligence will play an important role for cybersecurity, such as ...

  18. Challenges in introduction of artificial intelligence in medical practice – a review of clinical trials concerning adaptation of artificial intelligence in medicine

    OpenAIRE

    Mielnik, Pawel Franciszek; Fojcik, Marcin; Kulbacki, Marek; Segen, Jakub

    2016-01-01

    An interest in Artificial Intelligence [AI] as science is growing in the last years. It has become gradually more used in the medicine. Methodology of development and testing of AI algorithms is generally well established. Use of AI in medicine requires elaboration of standards of its validation in clinical settings. This paper is a review of literature concerning clinical trials on AI adaptation in medicine

  19. Information, trust and the limits of “intelligent accountability” in investment decision making: insights from the Madoff case

    OpenAIRE

    Stolowy, Hervé; Baker, Richard; Jeanjean, Thomas; Messner, Martin

    2011-01-01

    In this paper, we use the investment fraud of Bernard Madoff to inquire into the possibilities and limits of an “intelligent accountability” in the context of financial decision making. Drawing primarily upon data related to U.S. Individual investors (interviews and letters), we investigate the role of information and trust in investment decisions. We find that trust played an important role in the Madoff case. We also find that, in face-to-face encounters with the investors, Madoff successfu...

  20. Terrorism and information sharing between the intelligence and law enforcement communities in the US and the Netherlands: emergency criminal law?

    Directory of Open Access Journals (Sweden)

    John A. E. Vervaele

    2005-06-01

    Full Text Available Intelligence sharing between intelligence and police services with a view to preventing and combating terrorism is high on the political agenda in Brussels and The Hague. The Netherlands is one of the few countries in the EU where this topic is subject of political scrutiny. It also led to controversial case law. Recently, Justice Minister Donner has used an expedited procedure to submit a legislative proposal concerning shielded witnesses. This Bill raises many questions, that concern, amongst others, the discretion of intelligence services to determine which information will be provided for use in criminal proceedings and the relationship between this discretionary power and the connected legal duty of secrecy on the one hand and the rights of the defence to test and question that information on the other. Furthermore, questions raise regarding the evidentiary quality of this information. The proposed rules also influence the legitimacy of criminal law and the position of the criminal courts. What effect does the paradigm of security-orientated thinking have on the historical connection between criminal law and the rule of law? This issue is also addressed in this article.

  1. Experiences and challenges of informal caregiving for Korean immigrants

    Science.gov (United States)

    Han, Hae-Ra; Choi, Yun Jung; Kim, Miyong T.; Lee, Jong Eun; Kim, Kim B.

    2010-01-01

    Aim This paper is a report of a study designed to explore the caregiving experiences of Korean Americans. Background Increasing numbers of older people in the Asian population place important long-term care demands on Asian caregivers, yet minimal attention has been given to the issue of caregiving in this group. The current study attempts to fill the gap by describing Korean American caregivers’ unique caregiving experiences from their perspectives. Method A qualitative research design using a focus group approach was employed to discuss caregiving experiences in a cultural context. Data were collected over an 8-month period in 2005. Twenty-four informants, mostly women, at varying points surrounding caregiving participated in a focus group interview. Each focus group lasted about 1 ½-2 hours. Thematic analysis was conducted by two bilingual researchers. Findings Three key themes were identified: the caregiver role – competing priorities and beliefs, the extent and impact of caregiving, and the need for education and culturally-tailored support systems. Ten subthemes were identified within the three major themes: (1) facing double challenges; (2) changing attitudes about filial piety (Hyo); (3) providing care; (4) feeling out of control; (5) going through changing family dynamics; (6) being connected vs. providing connection; (7) paying back; (8) learning by themselves; (9) recognizing differences and (10) reconsidering geriatric care systems. Conclusion The caregiving experiences described by Korean American families point to the need to identify and develop more focused outreach programmes as well as more culturally appropriate support services for this rapidly increasing population. PMID:18727754

  2. 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

  3. Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects.

    Science.gov (United States)

    Aparicio, Fernando; Morales-Botello, María Luz; Rubio, Margarita; Hernando, Asunción; Muñoz, Rafael; López-Fernández, Hugo; Glez-Peña, Daniel; Fdez-Riverola, Florentino; de la Villa, Manuel; Maña, Manuel; Gachet, Diego; Buenaga, Manuel de

    2018-04-01

    Student participation and the use of active methodologies in classroom learning are being increasingly emphasized. The use of intelligent systems can be of great help when designing and developing these types of activities. Recently, emerging disciplines such as 'educational data mining' and 'learning analytics and knowledge' have provided clear examples of the importance of the use of artificial intelligence techniques in education. The main objective of this study was to gather expert opinions regarding the benefits of using complementary methods that are supported by intelligent systems, specifically, by intelligent information access systems, when processing texts written in natural language and the benefits of using these methods as companion tools to the learning activities that are employed by biomedical and health sciences teachers. Eleven teachers of degree courses who belonged to the Faculties of Biomedical Sciences (BS) and Health Sciences (HS) of a Spanish university in Madrid were individually interviewed. These interviews were conducted using a mixed methods questionnaire that included 66 predefined close-ended and open-ended questions. In our study, three intelligent information access systems (i.e., BioAnnote, CLEiM and MedCMap) were successfully used to evaluate the teacher's perceptions regarding the utility of these systems and their different methods in learning activities. All teachers reported using active learning methods in the classroom, most of which were computer programs that were used for initially designing and later executing learning activities. All teachers used case-based learning methods in the classroom, with a specific emphasis on case reports written in Spanish and/or English. In general, few or none of the teachers were familiar with the technical terms related to the technologies used for these activities such as "intelligent systems" or "concept/mental maps". However, they clearly realized the potential applicability of such

  4. Routledge companion to intelligence studies

    CERN Document Server

    Dover, Robert; Hillebrand, Claudia

    2013-01-01

    The Routledge Companion to Intelligence Studies provides a broad overview of the growing field of intelligence studies. The recent growth of interest in intelligence and security studies has led to an increased demand for popular depictions of intelligence and reference works to explain the architecture and underpinnings of intelligence activity. Divided into five comprehensive sections, this Companion provides a strong survey of the cutting-edge research in the field of intelligence studies: Part I: The evolution of intelligence studies; Part II: Abstract approaches to intelligence; Part III: Historical approaches to intelligence; Part IV: Systems of intelligence; Part V: Contemporary challenges. With a broad focus on the origins, practices and nature of intelligence, the book not only addresses classical issues, but also examines topics of recent interest in security studies. The overarching aim is to reveal the rich tapestry of intelligence studies in both a sophisticated and accessible way. This Companion...

  5. Intelligence in Artificial Intelligence

    OpenAIRE

    Datta, Shoumen Palit Austin

    2016-01-01

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

  6. Position Paper on Intelligent Supply Chains

    DEFF Research Database (Denmark)

    Møller, Charles

    This paper is intended to present and to analyze the concept of the Intelligent Supply Chain (ISC). The purpose of the paper is to: 1) Clarify the concept of the intelligent supply chain; 2) Identify emerging research opportunities; and 3) Specify a research engagement model for further explorati...... of intelligent supply chains. It is concluded that information management is critical to intelligent supply chains and a research agenda is outlined.......This paper is intended to present and to analyze the concept of the Intelligent Supply Chain (ISC). The purpose of the paper is to: 1) Clarify the concept of the intelligent supply chain; 2) Identify emerging research opportunities; and 3) Specify a research engagement model for further exploration...... the concept of Intelligent Supply Chain and to establish an overall perspective based on information management. The claim made here is that the notion of the intelligent enterprise contributes with a new perspective on supply chain management that addresses the current challenges in an industrial supply...

  7. Intelligent manufacturing: the challenge for manufacturing strategy in China in the 21st century--what we will do

    Science.gov (United States)

    Yang, Shuzi; Lei, Ming; Guan, Zai-Lin; Xiong, Youlun

    1995-08-01

    This paper first introduces the project of intelligent manufacturing in China and the research state of the IIMRC (Intelligent and Integrated Manufacturing Research Centre) of HUST (Huazhong University of Science and Technology), then reviews the recent advances in object- oriented and distributed artificial intelligence and puts forth the view that these advances open up the prospect of systems that will enable the true integration of enterprises. In an attempt to identify domain requirements and match them with research achievements, the paper examines the current literature and distinguishes 14 features that are common. It argues that effective enterprise-wide support could be greatly facilitated by the existence of intelligent software entities with autonomous processing capabilities, that possess coordination and negotiation facilities and are organized in distributed hierarchical states.

  8. Religious Education and Information Technology: Challenges and Problems

    Science.gov (United States)

    Sajjadi, Seyed Mahdi

    2008-01-01

    With advances in information technology, the velocity of information production on the global level has expanded as well. This acceleration has led to the delegitimizing of knowledge, the equating of information with knowledge, and the giving of predominance to information rather than knowledge. This advance has created epistemological challenges…

  9. [The Development of an Intelligent Long-Term Care Services System That Integrates Innovative Information and Communication Technologies].

    Science.gov (United States)

    Huang, Ean-Wen; Chiou, Shwu-Fen; Pan, Mei-Lien; Wu, Hua-Huan; Jiang, Jia-Rong; Lu, Yi-De

    2017-08-01

    Rapid progress in information and communication technologies and the increasing popularity of healthcare-related applications has increased interest in the topic of intelligent medical care. This topic emphasizes the use of information and communication technologies to collect and analyze a variety of data in order to provide physicians and other healthcare professionals with clinical decision support. At present, so-called smart hospitals are the focal point of most intelligent-systems development activity, with little attention currently being focused on long-term care needs. The present article discusses the application of intelligent systems in the field of long-term care, especially in community and home-based models of care. System-implementation components such as the data entry interface components of mobile devices, the data transmission and synchronization components between the mobile device and file server, the data presentation, and the statistics analysis components are also introduced. These components have been used to develop long-term care service-related applications, including home health nursing, home-care services, meals on wheels, and assistive devices rental. We believe that the findings will be useful for the promotion of innovative long-term care services as well as the improvement of healthcare quality and efficiency.

  10. Challenges of information systems strategy implementation in public hospitals: a South African experience

    CSIR Research Space (South Africa)

    Hwabamungu, B

    2015-05-01

    Full Text Available on this phenomenon in the healthcare sector. Building on previous IS strategizing research we explored the challenges of Information Systems strategy implementation. We then explored the challenges of IS strategy implementation in public hospitals in developing...

  11. Intelligence analysis – the royal discipline of Competitive Intelligence

    OpenAIRE

    František Bartes

    2011-01-01

    The aim of this article is to propose work methodology for Competitive Intelligence teams in one of the intelligence cycle’s specific area, in the so-called “Intelligence Analysis”. Intelligence Analysis is one of the stages of the Intelligence Cycle in which data from both the primary and secondary research are analyzed. The main result of the effort is the creation of added value for the information collected. Company Competiitve Intelligence, correctly understood and implemented in busines...

  12. Artificial intelligence, neural network, and Internet tool integration in a pathology workstation to improve information access

    Science.gov (United States)

    Sargis, J. C.; Gray, W. A.

    1999-03-01

    The APWS allows user friendly access to several legacy systems which would normally each demand domain expertise for proper utilization. The generalized model, including objects, classes, strategies and patterns is presented. The core components of the APWS are the Microsoft Windows 95 Operating System, Oracle, Oracle Power Objects, Artificial Intelligence tools, a medical hyperlibrary and a web site. The paper includes a discussion of how could be automated by taking advantage of the expert system, object oriented programming and intelligent relational database tools within the APWS.

  13. 2015 Chinese Intelligent Systems Conference

    CERN Document Server

    Du, Junping; Li, Hongbo; Zhang, Weicun; CISC’15

    2016-01-01

    This book presents selected research papers from the 2015 Chinese Intelligent Systems Conference (CISC’15), held in Yangzhou, China. The topics covered include multi-agent systems, evolutionary computation, artificial intelligence, complex systems, computation intelligence and soft computing, intelligent control, advanced control technology, robotics and applications, intelligent information processing, iterative learning control, and machine learning. Engineers and researchers from academia, industry and the government can gain valuable insights into solutions combining ideas from multiple disciplines in the field of intelligent systems.

  14. Information Sciences: training, challenges and new proposal from Venezuela

    Directory of Open Access Journals (Sweden)

    Leomar José Montilla

    2012-04-01

    Full Text Available It reflects on the training of information professionals in Venezuela and the potential contributions that these professionals can provide to society and its projection to it. The content is divided into three parts: the first deals with issues related to professional training in Information Sciences in Venezuela, the second project the training Venezuelan Information Sciences in the future and the third reflects on the prospects for professionals in Information Science

  15. Medical radiography and information societies: Challenges and opportunities

    International Nuclear Information System (INIS)

    Kalra, H.P.S.

    2006-01-01

    This paper presents the perspective from a less developed country for broadening the horizon of medical imaging as an integral part of medical records and biomedical information. From the industrial to the information society, the number as well as the diversity of stakeholders in the medical records and medical information has grown. this call for a fresh outlook on medical radiography and medical imaging

  16. Overview of the research and development on knowledge information processing and intelligent robots

    Energy Technology Data Exchange (ETDEWEB)

    Tanaka, K

    1982-04-01

    To implement intelligent computers, the problem of formalization of human intellectual activity must be considered. Insight into formalized intellectual activity can be gained by examination of its four abilities: (1) problem-solving; (2) learning, recognition and understanding; (3) language analysis and understanding; and (4) intellectual interaction. These are the topics discussed in the paper. 68 references.

  17. 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.

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

    Science.gov (United States)

    Ercan, Orhan; Ural, Evrim; Köse, Sinan

    2017-01-01

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

  19. Australia's Supervising Teachers: Motivators and Challenges to Inform Professional Learning

    Science.gov (United States)

    Nielsen, Wendy; Mena, Juanjo; Clarke, Anthony; O'Shea, Sarah; Hoban, Garry; Collins, John

    2017-01-01

    This paper offers an overview of what motivates and challenges Australian supervising teachers to work with preservice teachers in their classrooms. In the contemporary Australian context of new National Professional Standards for Teachers, a new national curriculum and new standards for Initial Teacher Education programs, what motivates and…

  20. ISSUES AND CHALLENGES IN THE USE OF INFORMATION ...

    African Journals Online (AJOL)

    education. Pre-service and in-service teachers as well as students need to know to a reasonable ... Keywords: Challenges, ICTs, Education, Use of ICT, Nigeria. Introduction .... Enhancing access: In higher education and adult training, there is some evidence ..... The profile is vastly different from campus to campus.

  1. Challenges of Technology, Social Media, and Information Control

    Science.gov (United States)

    Flaherty, Bill

    2013-01-01

    Today's youth must deal with friend management 24 hours a day, seven days a week, through smartphones and such social networking sites as Facebook. Technology in the classroom can be valuable, but not without challenges. The key is well-thought-out policies. While school districts can't completely control how students use their…

  2. Towards a Mobile Intelligent Information System with Application to HIV/AIDS.

    Science.gov (United States)

    Kopec, D; Eckhardt, R; Tamang, S; Reinharth, D

    2005-01-01

    The United Nations Security Council reports HIV/AIDS as the fastest growing threat to human development. In addition, the World Health Organization [1] reports that nearly 5 million persons (4.3 million adults and 700,000 children) are newly infected with HIV each year; more than 95% of them found in developing countries. Since STDs as a group are a personal problem which few people feel comfortable discussing, we believe that hand-held PDAs can provide an opportunity for learning about this disease while insuring anonymity. This device will employ the newest technologies including Bluetooth wireless technology, which can transmit and receive data via a short-range radio link using a globally available frequency band (2.4 GHz ISM band), enabling rapid and accurate synchronous and asynchronous data communication. The first generation of Bluetooth permits exchange of data up to a rate of 1 Mbps, even in areas with much electromagnetic disturbance. This emerging technology can facilitate HIV/AIDS outreach around the globe.Recent advances in learning have taken a particularly cognitive perspective and these findings have implications for education in general as well as for the development of intelligent tutoring systems in particular. In the past, effective SmartBookstrade markhave been developed for AIDS education to disseminate the critical knowledge relevant to this epidemic [2].Since 1993, the proliferation of the World Wide Web has created a plethora of new opportunities for the delivery of electronic distance learning systems. However, we feel that it is important that a whatever technology is employed is based on a sound educational theory. A new, comprehensive, web-based learning system called SmartTutor has been developed, at Brooklyn College of The City University of New York [3]. This technology provides a user-friendly, self-paced, easy to modify, software environment intended to serve the user's learning needs and is based on a generic Smart

  3. Multiple Intelligences: Current Trends in Assessment

    Science.gov (United States)

    Harman, Marsha J.; Kordinak, S. Thomas; Bruce, A. Jerry

    2009-01-01

    With his theory of multiple intelligences, Howard Gardner challenged the presumption that intelligence is a single innate entity. He maintained that multiple intelligences exist and are related to specific brain areas and symbol systems. Each of the intelligences has its merits and limits, but by using a multiple intelligences approach, more…

  4. Prospecção e monitoramento informacional no processo de inteligência competitiva Information scanning and information mining in the process of competitive intelligence

    Directory of Open Access Journals (Sweden)

    Marta Lígia Pomim Valentim

    2004-01-01

    Full Text Available A prospecção e o monitoramento informacional são atividades base para a inteligência competitiva, entendida como um processo dinâmico, composto pela gestão da informação e pela gestão do conhecimento. O processo de inteligência competitiva (I. C. nas organizações ocorre a partir de diferentes atividades informacionais, dentre elas estão as ligadas a prospecção e ao monitoramento. O papel destas atividades é essencial, pois alimentam todo o processo com dados, informação e conhecimento, constroem diversas estruturas formais e informais de informação dentro da organização, além do que, as atividades de prospecção e monitoramento geram serviços e produtos informacionais sistematizados, com alto valor agregado.The information scanning and information mining are activities base for the competitive intelligence, understood as a dynamic process, composed by the information management and knowledge management. The process of competitive intelligence (I. C. in the organizations it happens starting from different informational activities, they are the tied up ones information scanning and information mining. The function of these activities is essential, because they feed the whole process with data, information and knowledge, they build several formal structures and you inform inside of information of the organization, in addition, the information scanning and information mining activities generate information services and products systematized, with high value aggregate.

  5. The Informal Economy in Kosovo: Characteristics, Current Trends and Challenges

    OpenAIRE

    Florentina XHELILI KRASNIQI; Rahmije MUSTAFA TOPXHIU

    2012-01-01

    The informal economy is present in all countries, but its consequences reflect in different countries with different intensity. Types and scale of informal economic activities reflect the specificities of socio-economic context and the integration of the countries into the wider local-regional economy. The informal economy represents an important potential of labor and incomes, therefore there is a need for better understanding, since on this will depend the direction of the path for safer ad...

  6. Supporting tactical intelligence using collaborative environments and social networking

    Science.gov (United States)

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

    2013-05-01

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

  7. Library information sharing. Best practices and trends. Challenges and prospects

    Directory of Open Access Journals (Sweden)

    Posner Beth

    2017-12-01

    Full Text Available Libraries share information with each other, through interlibrary loan services, so that their library users can access more of the world of information than is available in any one library. When supported with enough budget, staff and authority to do so, library resource sharing specialists can facilitate information access in a variety of traditional and innovative ways, including and beyond lending and borrowing print and digital information. Best practices, trends and new solutions for library resource sharing are reviewed. International cooperation is also highlighted.

  8. On the fragmentation of process information : challenges, solutions, and outlook

    NARCIS (Netherlands)

    Aa, van der J.H.; Leopold, H.; Mannhardt, F.; Reijers, H.A.; Gaaloul, K.; Schmidt, R.; Nurcan, S.; Guerreiro, S.; Ma, Q.

    2015-01-01

    An organization’s knowledge on its business processes represents valuable corporate knowledge because it can be used to enhance the performance of these processes. In many organizations, documentation of process knowledge is scattered around various process information sources. Such information

  9. Managing the human side of information technology: challenges and solutions

    National Research Council Canada - National Science Library

    Szewczak, Edward; Snodgrass, Coral

    2002-01-01

    ... the potential of [IT] in support of managerial activities. The days of identifying computer-based information systems as only a collection of hardware and software are gone. In order to be able to achieve greater utilization of this technology, there must be much more emphasis given to the value of individuals who handle and use information res...

  10. Challenges for information literacy education at a university of ...

    African Journals Online (AJOL)

    The article reports on an action research project to investigate the effectiveness of an information literacy intervention for first-year engineering students at the Cape Peninsula University of Technology (CPUT). The intervention consisted of two workshops which aimed at teaching the students to find information relevant to ...

  11. Teaching Digital Natives: Promoting Information Literacy and Addressing Instructional Challenges

    Science.gov (United States)

    Neumann, Crystal

    2016-01-01

    Technology must be used as a teaching and learning tool to help students succeed. However, educators must be proactive in identifying some of the pitfalls of technology, such as information illiteracy. The phenomenological study covers how English instructors from Indianapolis, who teach first year students, address information literacy and the…

  12. Informational economy: specific features and challenges of monopolization

    OpenAIRE

    Kotsofana, T.

    2013-01-01

    The article discusses the features of the informational economy, as well as some issues with which this economy is facing today. In particular, contemporary forms of monopoly, its causes and consequences, changing trends towards monopolization and monopolization of markets due to the high degree of automation and information of the socio-economic life were analyzed.

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

    International Nuclear Information System (INIS)

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

    2001-01-01

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

  14. Machine learning \\& artificial intelligence in the quantum domain

    OpenAIRE

    Dunjko, Vedran; Briegel, Hans J.

    2017-01-01

    Quantum information technologies, and intelligent learning systems, are both emergent technologies that will likely have a transforming impact on our society. The respective underlying fields of research -- quantum information (QI) versus machine learning (ML) and artificial intelligence (AI) -- have their own specific challenges, which have hitherto been investigated largely independently. However, in a growing body of recent work, researchers have been probing the question to what extent th...

  15. Survivorship Challenges and Information Needs after Radiotherapy for Oral Cancer.

    Science.gov (United States)

    Badr, Hoda; Lipnick, Daniella; Gupta, Vishal; Miles, Brett

    2017-12-01

    Oral cancer (OC) treatment can lead to considerable functional impairment, psychological distress, and decrements in quality of life. Given that limited information and support services are available for cancer survivors, many are turning to the Internet. However, little is known about the specific information and service needs of OC survivors. We conducted a descriptive study to (1) characterize the associations between OC survivor functional problems and distress and (2) describe the Internet use of OC survivors, their satisfaction with existing sources of information/support, and their unmet information and service needs. Ninety-three oral cancer survivors completed cross-sectional surveys within 1-year of completing radiotherapy. Clinical levels of distress were 10 % for depression and 16 % for anxiety. Dental health, smell, and range of motion problems were significant (p < .05) determinants of both depression and anxiety symptoms. Eighty-three percent of survivors used the Internet; most used it to obtain health-related information or support. Unmet information needs included how to live a healthy lifestyle after treatment (87 %), strategies for dealing with eating and speaking problems (81 %), and information about what to expect in terms of side effects after treatment (76 %). Findings suggest that interventions that teach survivors coping and problem-solving skills to manage and cope with functional impairments may help to alleviate distress. Results of this study support the need for psychoeducational interventions for this population and showcase the potential of the Internet as a feasible mode for future dissemination.

  16. Cognitive Connected Vehicle Information System Design Requirement for Safety: Role of Bayesian Artificial Intelligence

    OpenAIRE

    Ata Khan

    2013-01-01

    Intelligent transportation systems (ITS) are gaining acceptance around the world and the connected vehicle component of ITS is recognized as a high priority research and development area in many technologically advanced countries. Connected vehicles are expected to have the capability of safe, efficient and eco-driving operations whether these are under human control or in the adaptive machine control mode of operations. The race is on to design the capability to operate in connected traffic ...

  17. Driver's various information process and multi-ruled decision-making mechanism: a fundamental of intelligent driving shaping model

    Directory of Open Access Journals (Sweden)

    Wuhong Wang

    2011-05-01

    Full Text Available The most difficult but important problem in advance driver assistance system development is how to measure and model the behavioral response of drivers with focusing on the cognition process. This paper describes driver's deceleration and acceleration behavior based on driving situation awareness in the car-following process, and then presents several driving models for analysis of driver's safety approaching behavior in traffic operation. The emphasis of our work is placed on the research of driver's various information process and multi-ruled decisionmaking mechanism by considering the complicated control process of driving; the results will be able to provide a theoretical basis for intelligent driving shaping model.

  18. Hierarchically sinergistical integration of Social Media Analytics/Social CRM with Business Intelligence and with the Geographic Information System

    OpenAIRE

    Круковський, Ігор Анатолійович; Хомів, Богдан Арсенович; Гаврилюк, Всеволод Леонідович

    2014-01-01

    The actuality of integration of Social Media Analytics/Social CRM with Decision Support Systems on the basis of Business Intelligence 2.0 (DSS/BI 2.0) and with the Geographic Information System is presented. On the basis of their integration a new type of DSS is offered - Social Media Spatial DSS/BI. The variant is shown of this system realization on the programmatic platform of Social Media Analytics of the SemanticForce Company, which has its own semantic analyzer Blueberry. The suitability...

  19. Quantum: information theory: technological challenge; Computacion Cuantica: un reto tecnologico

    Energy Technology Data Exchange (ETDEWEB)

    Calixto, M.

    2001-07-01

    The new Quantum Information Theory augurs powerful machines that obey the entangled logic of the subatomic world. Parallelism, entanglement, teleportation, no-cloning and quantum cryptography are typical peculiarities of this novel way of understanding computation. (Author) 24 refs.

  20. Health information systems: challenges for the 21st century.

    Science.gov (United States)

    Ball, M J; Lillis, J C

    2000-08-01

    No longer focused on mere automation of manual processes, healthcare technology is poised to transform practice. Healthcare information systems can extend and enhance the memory; streamline administrative processes; provide access to information where, when, and how it is needed; and manage the cost of care while protecting and improving clinical quality and customer satisfaction. To reap the benefits of information systems, healthcare professionals must take stock of the industry's current position on the road to transformation and determine how to manage the journey ahead. This article explores healthcare information technology trends, discusses emerging technologies such as the Internet and the computerized patient record, and offers future recommendations for achieving technology integration and acceptance. Key to this discussion is the belief that people-based skills such as cooperation, leadership, and creative thinking are just as important as--if not more important than--the actual technology.

  1. The Mission Partner Environment: Challenges To Multinational Information Sharing

    Science.gov (United States)

    2016-02-15

    four regional commands (Africa Command, Central Command, European Command, and Pacific Command). On behalf of their powerful 4-star combatant...nations, and the U.S. DoD’s Assistant Secretary of Defense ( ASD ) for Networks and Information Integration (NII).12 While this arrangement attempted to...leadership to seek a more coherent and enduring approach to information sharing. As ISAF expanded operations throughout the country, it added more

  2. Challenges of Information Technology Security in the NASA Environment

    Science.gov (United States)

    Santiago, S. S.

    2000-01-01

    A brief description of the NASA organization and how the CIO responsibilities are integrated into that organization followed by an introduction of the NASA ITS Program goals and objectives. An overview of the four major enterprises' cultures and how those cultures tie back to the Enterprises' missions. A description of the ITS challenges that exist stemming from the competing NASA Enterprises' requirements and how they have formed the basis of the NASA ITS Program. A talk will focus on policies and procedures and the technology being incorporated into the NASA infrastructure and how that technology ties back to the policies and procedures.

  3. Usability and Information access challenges in complex simulation models

    CSIR Research Space (South Africa)

    Naidoo, S

    2008-07-01

    Full Text Available -sensitive help and meaningful feedback when errors occur Legibility Ease with which visual content can be understood Task Completion Whether a user can complete a task within appropriate task time when performing. Minimal action Capability of the software... by the user interface may result in some operations not being visible to the user although available in the simulation tool. The challenge has been to develop simulation tools that can be used by the users with minimal effort required both to operate...

  4. Intelligent Universe

    Energy Technology Data Exchange (ETDEWEB)

    Hoyle, F

    1983-01-01

    The subject is covered in chapters, entitled: chance and the universe (synthesis of proteins; the primordial soup); the gospel according to Darwin (discussion of Darwin theory of evolution); life did not originate on earth (fossils from space; life in space); the interstellar connection (living dust between the stars; bacteria in space falling to the earth; interplanetary dust); evolution by cosmic control (microorganisms; genetics); why aren't the others here (a cosmic origin of life); after the big bang (big bang and steady state); the information rich universe; what is intelligence up to; the intelligent universe.

  5. The public information challenge: confidence and credibility through communications

    International Nuclear Information System (INIS)

    Spence, H.J.M.

    1994-01-01

    Canada's Atomic Energy Control Board, considered the oldest independent nuclear regulatory body in the world, has made significant progress toward openness and visibility through public information policy initiatives and communications activities, particularly in the last five years. A number of public information projects are described, and successes as well as disappointments are outlined. The importance in terms of enhanced credibility and public confidence in the regulatory agency is stressed. In looking toward the future, the linking of communications to the operational functions and activities of the regulator is presented as a key requirement. (author)

  6. Information Security - A Growing Challenge for Online Business

    OpenAIRE

    Gabriela GHEORGHE; Ioana LUPASC

    2017-01-01

    In present, the cyber attack move to a global scale, also the online business cyber threats have the effect of impeding and even huge losses. Security issues currently facing online commerce, online payment systems require finding solutions to improve the security solutions offered by the providers of Business Information solution.

  7. Pilot Implementation of Health Information Systems: Issues and challenges

    DEFF Research Database (Denmark)

    Bansler, Jørgen P.; Havn, Erling C.

    2009-01-01

    Pilot implementation is a powerful and widely used approach in identifying design flaws and implementation issues before the full-scale deployment of new health information systems. However, pilot implementations often fail in the sense that they say little about the usability and usefulness...

  8. For a cyberspace information policy: advances, perspectives and challenges

    Directory of Open Access Journals (Sweden)

    Jakeline Amparo Villota Enríquez

    2017-06-01

    Full Text Available This article is to describe and analyze the policies of information in cyberspace, both global and regionally, in different directions: programs, resolutions, and projects from the information sector. Likewise, an overview of the same is presented in the Latin American and Caribbean region. Through documentary analysis of the literature related to the topic, the article is based on a review of literature raised from scientific materials such as: books, thesis papers, dissertations, texts on internet sites and articles, resolutions, projects and decrees dealing with the same topic. As a result, cyberspace is conceptualized and its elements, dimensions, strategies and variations are characterized, by analyzing the information from cyberspace policy, based on the global stage to relate it, finally, to the region of Latin America and the Caribbean, with the idea of better addressing the problems. The cyberspace information policy experience a minor and slow process in the field of cyber war; resulting from the obstacle of international cooperation defined by the disparate ambitions of the State or region.

  9. Challenges Facing Adoption of Information Communication Technology in African Universities

    Science.gov (United States)

    Murgor, Titus Kiptoo

    2015-01-01

    A significant number of the universities and higher educational institutions have adopted the latest technology and implemented it productively, for the development of skilled human resource in respective area of specialization, as part of their responsibility. Information and communication Technology (ICT) has grown tremendously around the globe…

  10. Recognising Non-Formal and Informal Learning: An Open Challenge

    Science.gov (United States)

    Perulli, Elisabetta

    2009-01-01

    The social-institutional endorsement towards the perspective of recognising and enhancing learning acquired outside the formal education and training contexts (non-formal and informal learning), has been gaining strength and has entered policy agendas throughout Europe, but also in other major non-European countries. Nevertheless there are still…

  11. Information Security - A Growing Challenge for Online Business

    Directory of Open Access Journals (Sweden)

    Gabriela GHEORGHE

    2017-06-01

    Full Text Available In present, the cyber attack move to a global scale, also the online business cyber threats have the effect of impeding and even huge losses. Security issues currently facing online commerce, online payment systems require finding solutions to improve the security solutions offered by the providers of Business Information solution.

  12. Information Access Challenges: Data Fission Needs of the Field Expert

    Science.gov (United States)

    2011-06-01

    military doctrine demonstrate a growing appreciation of the need to leverage more nonmilitary instruments of national power, reposed in the interagency...connectivity, cost and information technology capabilities. The notion of “sharing” can be seen from emails to social media and web applications. The sheer...of power and gaps in organizations, phases, and processes.  The use of social media for recent disasters highlights the vital role of nonmilitary

  13. Management of new information technologies in organisations by intelligent software agents

    DEFF Research Database (Denmark)

    Abolfazlian, Ali Reza Kian

    1996-01-01

    I denne artikel præsenteres argumenter for, hvorfor den Kartesianske management model baseret på en kognitiv psykologisk forståelse af organisationer, ikke kan beskrive de forandringsprocesser, som indførelsen af ny informationsteknologi i organisationer forårsager. På denne baggrund definerer vi...... Post-Kartesiansk management. Endvidere argumenteres for, hvordan Intelligent Software Agents kan hjælpe managers med at få en bedre forståelse for de førnævnte forandringer i organisationerne....

  14. Responsibility and intersubjectivity as challenge to informed consent

    DEFF Research Database (Denmark)

    Andersen, Anne Mette Fruelund

    2006-01-01

    rådgivning i Danmark. Gennem interviews med patienter kommer der gode eksempler på, hvilke ansvarsrelationer, der er på spil mellem læge og patient, indenfor familien og for den enkelte person, der søger rådgivning og testning. Udover selve beslutningen om test, skal patienten tage stilling til, hvem der...... vanskeligheden ved at håndtere videnskabelig information og usikkerhed at tage hensyn til i vurderingen af de konkrete ansvarsrelationer. Det informerede samtykke problematiseres ud fra analysen af ansvar og intersubjektivitet. Det globale perspektiv ved ansvar og bioteknologi berøres kort i form af en...

  15. Challenges and prospects of using information technologies in higher education

    Directory of Open Access Journals (Sweden)

    Frolov Alexander

    2016-01-01

    Full Text Available The considerable attention is paid to information technologies in system of the higher education now. Using the latest technology, software and hardware in the learning process allows achieving high outcomes quality of study. The article deals with modern teaching technologies, including distance learning technology, case-technology, which is already used in practice in higher education. There remain unresolved issues of effective use of new learning technologies, the quality of the used software and hardware. The perspective directions of development of informatization of education are defined.

  16. Challenging the Concept of "informal" urbanisation in African Cities

    DEFF Research Database (Denmark)

    Eskemose Andersen, Jørgen

    2013-01-01

    - but in the absence of government support for adequate improvement of service provision in these informal settlements (even more if well located) they become ripe for ‘re-development’, which is then generally private sector driven. The outcome is usually negative for the poor and lower income populations...... that a comprehensive redevelopment project now has been brought forward however with substantial local resistance and so far this project is at hold. This paper argues fundamentally for a formal recognition of these areas as a valid and productive form of urbanism in transformation and hence recognise land rights...

  17. Information Technology: A challenge to the Human Factors Society?

    DEFF Research Database (Denmark)

    Rasmussen, Jens

    1988-01-01

    In his presidential address at the annual meeting of the Human Factors Society, Julian Christensen urged the members of the society to spread the gospel and to persuade the members of other professional societies such as psychologists,sociologists and engineers to join the Human Factors Society......, the argument being that advanced technology requires a cross-disciplinary approach to human factors problems. In the present note, I would like to support this presidential effort. In fact, I will go further in that direction and argue that the present fast pace of information technology threatens to overrun...

  18. [DOhaD and epigenetic information: societal challenges].

    Science.gov (United States)

    Rial-Sebbag, Emmanuelle; Guibet Lafaye, Caroline; Simeoni, Umberto; Junien, Claudine

    2016-01-01

    The concept of the developmental origins of health and disease (DOHaD) alters our understanding of what constitutes "health" or "disease" intended as chronic, non-communicable diseases, which develop over the life course in high income and emerging countries. It implies a change in paradigm forming a basis for prevention policies across the globe. It also impacts psychological, social, economic, ethical and legal sciences. In line with the unanticipated underpinning epigenetic mechanisms are also the social issues (including public policies) that could be produced by the knowledge related to DOHaD that opens a wide field of inquiry. The information unveiled by epigenetics coupled with information on lifestyle including during the development phase, is of unforeseen nature, raising issues of different nature. Therefore it requires specific attention and research, and a specific support by a pluridisciplinary reflection since the very beginning of its production, to anticipate the questions that might be raised in the future. © 2016 médecine/sciences – Inserm.

  19. Ambient Intelligence and Persuasive Technology: The Blurring Boundaries Between Human and Technology.

    NARCIS (Netherlands)

    Verbeek, Peter P.C.C.

    2009-01-01

    The currently developing fields of Ambient Intelligence and Persuasive Technology bring about a convergence of information technology and cognitive science. Smart environments that are able to respond intelligently to what we do and that even aim to influence our behaviour challenge the basic

  20. 19. srednjeevropska konferenca o informatiki in inteligentnih sistemih = 19th Central European Conference on Information and Intelligent Systems

    Directory of Open Access Journals (Sweden)

    Armand Faganel

    2008-12-01

    Full Text Available The aim of the paper is to present the 19th Central European Conference on Information and Intelligent Systems, CECIIS 2008, which took place between 24th and 26th September in Varaždin and was organised by the Faculty of Organisation and Informatics in Varaždin. The central theme of this year’s conference was e-government. During those 3 days, 250 participants could attend presentations of 90 scientific and professional works in 15 sections and 9 invited lectures on the newest trends in the area of information and communication technology management, information technologies, security of information systems, multimedia systems, strategic planning of information systems, education for information society. Two other parallel events were held within the international conference, namely the workshop ‘Activities towards ICT professionalism’ and a round table on the subject ‘Competences of ICT Professionals’. Experts in the field of human resources, leaders of information centres and managers of the leading Croatian companies participated in the latter.

  1. Organisational Dynamics and Ambiguity of Business Intelligence in Context of Enterprise Information Systems – a case study

    DEFF Research Database (Denmark)

    Tambo, Torben; Gabel, Ole Dahl; Olsen, Martin

    2012-01-01

    Business Intelligence (BI) is playing a major role in most Enterprise Information Systems (EIS) architectures providing strategic and tactical management information on selected issues. BI is typically detached from mainstream transaction systems and provides a translated view of the business...... present findings within the relationship between technology and business in BI is particularly complex as operational issues are secondary to the desired systems outcome’s character of a management construct. A management framework is proposed for BI related to its special characteristics involving...... to a dualistic understanding of BI as both a technological and a social system. The originality of this paper is in its augmentation of IS management with a better comprehension of the BI aspect intended to contribute to a distinct management framework for BI....

  2. Challenges and Opportunities of Implementing District-based Health Information System in Ethiopia

    DEFF Research Database (Denmark)

    Mengiste, Shegaw Anagaw

    2005-01-01

    This paper has analyzed the challenges of sustainability and scalability of HIS. The empirical analysis was conducted in a backward and disadvantaged region of Ethiopia. An ongoing process of HISP (Health Information System Program) was addressed and the main challenges in the implementation...... of sustainable and scalable district-based health information system in the context of Primary Health Care (PHC) sector in Ethiopia were identified. Human resource, infrastructure, and HIS related problems are the main challenges hindering the implementation of sustainable and scalable district-based health...... information systems in the region....

  3. Applied Computational Intelligence in Engineering and Information Technology Revised and Selected Papers from the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics SACI 2011

    CERN Document Server

    Precup, Radu-Emil; Preitl, Stefan

    2012-01-01

    This book highlights the potential of getting benefits from various applications of computational intelligence techniques. The present book is structured such that to include a set of selected and extended papers from the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics SACI 2011, held in Timisoara, Romania, from 19 to 21 May 2011. After a serious paper review performed by the Technical Program Committee only 116 submissions were accepted, leading to a paper acceptance ratio of 65 %. A further refinement was made after the symposium, based also on the assessment of the presentation quality. Concluding, this book includes the extended and revised versions of the very best papers of SACI 2011 and few invited papers authored by prominent specialists. The readers will benefit from gaining knowledge of the computational intelligence and on what problems can be solved in several areas; they will learn what kind of approaches is advised to use in order to solve these problems. A...

  4. Competitive intelligence with entrepreneurial focus: education and research in undergraduate courses of information science

    OpenAIRE

    Garcia, Leonardo Guimarães

    2011-01-01

    Discute a idéia de uma Inteligência Competitiva (IC) com enfoque empreendedor, seus fundamentos e sua implementação em organizações de diversos tipos. Apresenta um programa que articula ensino e pesquisa, voltado à geração de conhecimento e à preparação de profissionais da informação na graduação para a prática dessa idéia. Discute os resultados já atingidos com a implantação desse programa no âmbito da graduação em Ciência da Informação. Discusses the concept of Competitive Intelligence (...

  5. Collection and sharing of medical information and medical intelligence (M2I) in NATO: a transversal survey.

    Science.gov (United States)

    Bedubourg, Gabriel; Wiik, H; Queyriaux, B; Lausund, P; Meynard, J-B

    2018-04-06

    There is a requirement for adequate medical expertise to be available throughout the range of potential future operations involving members of the North Atlantic Treaty Organization (NATO). The aim of this study was to assess the collection and sharing of medical intelligence and medical information (M2I) by NATO Nations, Partner Nations and NATO Command Structure and NATO Force Structure Headquarters (NCS/NFS HQs). A transversal survey was conducted between December 2014 and March 2015 using a survey form on M2I sent to NATO Nations and Partnership for Peace (PfP) Nations as well as NCS/NFS HQs. Correctly completed responses were received from 15/40 (37.5%) of the possible NATO and PfP Nations (37.5%) and 7/8 (87.5%) of the NCS/NFS HQs (100.0%). Deficiencies in the collection of M2I data were found due to lack of specific doctrines, networks, tools, structures and organisation. The survey provided an indication even though the participation rate was low for Nations. Part of the problem is thought to be that medical information and medical intelligence often lie in different chains of command. Future directions for this research could include studying the possibilities of a new specific information technology (IT) system to collect and to share M2I. Collection and sharing of M2I within the NATO/PfP community requires facilitation in order to strengthen the basis for decision-making and force health protection. The development of a dedicated NATO IT system may be a precondition for the implementation of an efficient M2I network. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  6. From responsible robotics towards a human rights regime oriented to the challenges of robotics and artificial intelligence

    DEFF Research Database (Denmark)

    Liu, Hin-Yan; Zawieska, Karolina

    2017-01-01

    impulse by proposing a complementary set of human rights directed specifically against the harms arising from robotic and artificial intelligence (AI) technologies. The relationship between responsibilities of the agent and the rights of the patient suggest that a rights regime is the other side...... to act responsibly. This subsists within a larger phenomenon where the difference between humans and non-humans, be it animals or artificial systems, appears to be increasingly blurred, thereby disrupting orthodox understandings of responsibility. This paper seeks to supplement the responsible robotics...

  7. Challenges and Concerns for Library and Information Science (LIS) Education in India and South Asia

    Science.gov (United States)

    Kaur, Trishanjit

    2015-01-01

    This paper presents some of the challenges and concerns for library and information science (LIS) education in India. In order to provide context for these challenges, the paper begins with a brief overview of higher education in India in general and then discusses the beginning of LIS education. It briefly summarizes LIS education in South Asia…

  8. The Challenge of Domestic Intelligence in a Free Society. A Multidisciplinary Look at the Creation of a U.S. Domestic Counterterrorism Intelligence Agency

    Science.gov (United States)

    2009-01-01

    information about individuals or organizations in the United 2 For example, an entire body of literature has grown around the concepts of business intel...may go to do this. On a second level, American values, ethics , and idiosyn- cratic form of democracy add very specific cultural layers to the roles of...surveil- lance, interrogation, and detention—could be used against Americans (Martin, 2004, p. 13). Civil libertarians argue that shifting the focus

  9. Patent challenges for standard-setting in the global economy : lessons from information and communication industry

    NARCIS (Netherlands)

    Maskus, K.; Merrill, S.A.; Bekkers, R.N.A.; Sandy Block, Marc; Contreras, Jorge; Gilbert, Richard; Goodman, David; Marasco, Amy; Simcoe, Tim; Smoot, Oliver; Suttmeier, Richard; Updegrove, Andrew

    2014-01-01

    Patent Challenges for Standard-Setting in the Global Economy: Lessons from Information and Communication Technology examines how leading national and multinational standard-setting organizations (SSOs) address patent disclosures, licensing terms, transfers of patent ownership, and other issues that

  10. Promoting better integration of health information systems: best practices and challenges

    NARCIS (Netherlands)

    Michelsen, K.; Brand, H.; Achterberg, P.; Wilkinson, J.

    2015-01-01

    Health Evidence Network Synthesis Report [Promoting better integration of health information systems: best practices and challenges K Michelsen, H Brand, P Achterberg, J Wilkinson - 2015 ... Authors Kai Michelsen Department of International Health, Maastricht University Maastricht,

  11. Intelligence Issues for Congress

    National Research Council Canada - National Science Library

    Best, Jr, Richard A

    2007-01-01

    To address the challenges facing the U.S. Intelligence Community in the 21st century, congressional and executive branch initiatives have sought to improve coordination among the different agencies and to encourage better analysis...

  12. Intelligence Issues for Congress

    National Research Council Canada - National Science Library

    Best, Jr, Richard A

    2006-01-01

    To address the challenges facing the U.S. Intelligence Community in the 21st Century, congressional and executive branch initiatives have sought to improve coordination among the different agencies and to encourage better analysis...

  13. Intelligence Issues for Congress

    National Research Council Canada - National Science Library

    Best, Jr, Richard A

    2008-01-01

    To address the challenges facing the U.S. Intelligence Community in the 21st century, congressional and executive branch initiatives have sought to improve coordination among the different agencies and to encourage better analysis...

  14. Intelligence Issues for Congress

    National Research Council Canada - National Science Library

    Best. Jr, Richard A

    2006-01-01

    To address the challenges facing the U.S. Intelligence Community in the 21st century, congressional and executive branch initiatives have sought to improve coordination among the different agencies and to encourage better analysis...

  15. Plant intelligence

    Science.gov (United States)

    Lipavská, Helena; Žárský, Viktor

    2009-01-01

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

  16. Intelligent Access to Sequence and Structure Databases (IASSD) - an interface for accessing information from major web databases.

    Science.gov (United States)

    Ganguli, Sayak; Gupta, Manoj Kumar; Basu, Protip; Banik, Rahul; Singh, Pankaj Kumar; Vishal, Vineet; Bera, Abhisek Ranjan; Chakraborty, Hirak Jyoti; Das, Sasti Gopal

    2014-01-01

    With the advent of age of big data and advances in high throughput technology accessing data has become one of the most important step in the entire knowledge discovery process. Most users are not able to decipher the query result that is obtained when non specific keywords or a combination of keywords are used. Intelligent access to sequence and structure databases (IASSD) is a desktop application for windows operating system. It is written in Java and utilizes the web service description language (wsdl) files and Jar files of E-utilities of various databases such as National Centre for Biotechnology Information (NCBI) and Protein Data Bank (PDB). Apart from that IASSD allows the user to view protein structure using a JMOL application which supports conditional editing. The Jar file is freely available through e-mail from the corresponding author.

  17. Understanding the Globalization of Intelligence

    DEFF Research Database (Denmark)

    Svendsen, Adam David Morgan

    "This book provides an introduction to the complexities of contemporary Western Intelligence and its dynamics during an era of globalization. Towards an understanding of the globalization of intelligence process, Svendsen focuses on the secretive phenomenon of international or foreign intelligence...... cooperation ('liaison'), as it occurs in both theory and practice. Reflecting a complex coexistence plurality of several different and overlapping concepts in action, the challenging process of the globalization of intelligence emerges as essential for complex issue management purposes during a globalized era...

  18. A Challenge to Watson

    Science.gov (United States)

    Detterman, Douglas K.

    2011-01-01

    Watson's Jeopardy victory raises the question of the similarity of artificial intelligence and human intelligence. Those of us who study human intelligence issue a challenge to the artificial intelligence community. We will construct a unique battery of tests for any computer that would provide an actual IQ score for the computer. This is the same…

  19. Identifying the Multiple Intelligences of Your Students

    Science.gov (United States)

    McClellan, Joyce A.; Conti, Gary J.

    2008-01-01

    One way of addressing individual differences among adult learners is to identify the Multiple Intelligences of the learner. Multiple Intelligences refers to the concept developed by Howard Gardner that challenges the traditional view of intelligence and explains the presence of nine different Multiple Intelligences. The purpose of this study was…

  20. A Review of Large-Scale "How Much Information?" Inventories: Variations, Achievements and Challenges

    Science.gov (United States)

    Hilbert, Martin

    2015-01-01

    Introduction: Pressed by the increasing social importance of digital information, including the current attention given to the "big data paradigm", several research projects have taken up the challenge to quantify the amount of technologically mediated information. Method: This meta-study reviews the eight most important inventories in a…

  1. Dotting the I and Crossing (out) the T in IT Governance: New Challenges for Information Governance

    NARCIS (Netherlands)

    Borgman, H.; Heier, H.; Bahli, B.; Boekamp, T.; Bui, T.X.; Sprague, R.H.

    2016-01-01

    The purpose of this paper is to explore the factors influencing information governance, and particularly the role of new challenges such as cloud-based services, boundary-crossing use of data and new system development practices. Governing information within - as well as outside - the organization,

  2. An interview-informed synthesized contingency analysis to inform the treatment of challenging behavior in a young child with autism.

    Science.gov (United States)

    Herman, Ciara; Healy, Olive; Lydon, Sinéad

    2018-04-01

    Experimental Functional analysis (EFA) is considered the "gold standard" of behavioural assessment and its use is predictive of treatment success. However, EFA has a number of limitations including its lengthy nature, the high level of expertise required, and the reinforcement of challenging behaviour. This study aimed to further validate a novel interview-informed synthesised contingency analysis (IISCA). An open-ended interview and brief direct observation informed an IISCA for a young boy with autism who engaged in challenging behaviour. Resulting data supported the hypothesis that the target behaviour was multiply controlled by escape from demands and access to tangible items. An intervention comprised of most-to-least prompting, escape extinction, differential reinforcement and a high-probability instruction sequence was evaluated using a reversal design. This intervention reduced challenging behaviour to low levels and resulted in increased compliance. Findings support the status of the IISCA as a valid, practical, and effective process for designing function-based interventions.

  3. Moral Issues in Intelligence-led Policing

    DEFF Research Database (Denmark)

    The core baseline of Intelligence-led Policing is the aim of increasing efficiency and quality of police work, with a focus on crime analysis and intelligence methods as tools for informed and objective decisions both when conducting targeted, specialized operations and when setting strategic...... technological measures, increased private partnerships and international cooperation challenging the core nature of police services as the main providers of public safety and security? This book offers new insights by exploring dilemmas, legal issues and questions raised by the use of new policing methods...

  4. Towards Brain-inspired Web Intelligence

    Science.gov (United States)

    Zhong, Ning

    Artificial Intelligence (AI) has been mainly studied within the realm of computer based technologies. Various computational models and knowledge based systems have been developed for automated reasoning, learning, and problem-solving. However, there still exist several grand challenges. The AI research has not produced major breakthrough recently due to a lack of understanding of human brains and natural intelligence. In addition, most of the AI models and systems will not work well when dealing with large-scale, dynamically changing, open and distributed information sources at a Web scale.

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

    Science.gov (United States)

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

    2015-01-01

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

  6. Network control stations in the smart grid. Process and information knots for business intelligence applications; Netzleitstellen im Smart Grid. Prozess- und Informationsknoten fuer Business Intelligence Applikationen

    Energy Technology Data Exchange (ETDEWEB)

    Kautsch, Stephan; Kroll, Meinhard [ABB AG, Mannheim (Germany); Schoellhorn, Daniel [EnBW Regional AG, Stuttgart (Germany)

    2012-07-01

    The degree of automation in the distribution will increase, whereas a more extensive monitoring is possible. Smart metering in the local network station replaces the drag pointers. This allows the pre-determined load flows to be precise and it can be determined and valuable data can be collected about how resources, for example the transformers in the secondary substations, are actually utilized. The amount of information available is increasing steadily, not least because of the increasing expansion of smart meters, that also provide valuable information for the operation of the distribution networks. This ''flood'' of data that is processed by the system, filtered, and analyzed must be prepared for the user in order to make sense, but can also be used to support and optimize many business processes. Although these tasks mentioned are usually not yet allocated within the grid operator organization, they offer themselves to be placed close to the network control centers as they propose new challenges but also opportunities. (orig.)

  7. A comparison of competitive intelligence activities in Brazil, Malaysia, Morocco and South Africa

    Directory of Open Access Journals (Sweden)

    Adeline S.A. du Toit

    2014-06-01

    Research purpose: The purpose was to determine how these countries can use competitive intelligence to increase their competitiveness in the global economy. Motivation for the study: Competitive intelligence is a challenge in developing economies. Research design, approach and method: A questionnaire survey was sent to competitive intelligence professionals in the four study countries. Main findings: The most important primary information source used in all four countries is direct customer feedback and the most important secondary information source used is corporate websites. Companies in all four countries did not use advanced analysis techniques. Practical/managerial implications: It is recommended that all four countries should develop a competitive intelligence culture by creating awareness of competitive intelligence amongst their employees. Contribution/value added: It is crucial to apply competitive intelligence in the four countries in order to become more competitive in the global economy.

  8. The Convergence of the telematic, computing and information services as a basis for using artificial intelligence to manage complex techno-organizational systems

    Directory of Open Access Journals (Sweden)

    Raikov Alexander

    2018-01-01

    Full Text Available The authors analyses the problems of using artificial intelligence to manage complex techno-organizational systems on the basis of the convergence of the telematic, computing and information services in order to manage complex techno-organizational systems in the aerospace industry. This means getting the space objects a higher level of management based on the self-organizing integration principle. Using the artificial intelligence elements allows us to get more optimal and limit values parameters of the ordinal and critical situations in real time. Thus, it helps us to come closer to the limit values parameters of the managed objects due to rising managing and observant possibilities.

  9. Challenge of the new information technologies: the need to respond to citizens' information needs

    Energy Technology Data Exchange (ETDEWEB)

    Jones, M.G.

    1983-01-01

    Initiatives have been undertaken in several sectors of society (corporations, universities, associations, government) to apply various information technologies to better meet the needs of institutions and the citizenry. Through pilot projects and modularly developed operational systems, the diverse information requirements of users are being fulfilled in ways only possible through computer and telecommunications support. Selective descriptions are provided of leading videotex, teletext, and home computer systems, including commentary on the educational and informational aspects of these services, with special attention to provisions for rural communities and other disadvantaged societal elements not well served by the existing information infrastructure. 12 references.

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

    International Nuclear Information System (INIS)

    Bettencourt, Luis

    2008-01-01

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

  11. Security Issues for Intelligence Information System based on Service-Oriented Architecture

    OpenAIRE

    Ackoski, Jugoslav; Trajkovik, Vladimir; Davcev, Danco

    2011-01-01

    Security is important requirement for service-oriented architecture (SOA), because SOA considers widespread services on different location and diverse operational platforms. Main challenge for SOA Security still drifts around “clouds” and that is insufficient frameworks for security models based on consistent and convenient methods. Contemporary security architectures and security protocols are in the phase of developing. SOA based systems are characterized with differences ...

  12. Ontology-based semantic information technology for safeguards: opportunities and challenges

    International Nuclear Information System (INIS)

    McDaniel, Michael

    2014-01-01

    The challenge of efficiently handling large volumes of heterogeneous information is a barrier to more effective safeguards implementation. With the emergence of new technologies for generating and collecting information this is an issue common to many industries and problem domains. Several diverse information‑intensive fields are developing and adopting ontology‑based semantic information technology solutions to address issues of information integration, federation and interoperability. Ontology, in this context, refers to the formal specification of the content, structure, and logic of knowledge within a domain of interest. Ontology‑based semantic information technologies have the potential to impact nearly every level of safeguards implementation, from information collection and integration, to personnel training and knowledge retention, to planning and analysis. However, substantial challenges remain before the full benefits of semantic technology can be realized. Perhaps the most significant challenge is the development of a nuclear fuel cycle ontology. For safeguards, existing knowledge resources such as the IAEA’s Physical Model and established upper level ontologies can be used as starting points for ontology development, but a concerted effort must be taken by the safeguards community for such an activity to be successful. This paper provides a brief background of ontologies and semantic information technology, demonstrates how these technologies are used in other areas, offers examples of how ontologies can be applied to safeguards, and discusses the challenges of developing and implementing this technology as well as a possible path forward.

  13. Intelligible Artificial Intelligence

    OpenAIRE

    Weld, Daniel S.; Bansal, Gagan

    2018-01-01

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

  14. Current Challenge in Consumer Health Informatics: Bridging the Gap between Access to Information and Information Understanding

    Directory of Open Access Journals (Sweden)

    Laurence Alpay

    2009-01-01

    Full Text Available The number of health-related websites has proliferated over the past few years. Health information consumers confront a myriad of health related resources on the internet that have varying levels of quality and are not always easy to comprehend. There is thus a need to help health information consumers to bridge the gap between access to information and information understanding—i.e. to help consumers understand health related web-based resources so that they can act upon it. At the same time health information consumers are becoming not only more involved in their own health care but also more information technology minded. One way to address this issue is to provide consumers with tailored information that is contextualized and personalized e.g. directly relevant and easily comprehensible to the person’s own health situation. This paper presents a current trend in Consumer Health Informatics which focuses on theory-based design and development of contextualized and personalized tools to allow the evolving consumer with varying backgrounds and interests to use online health information efficiently. The proposed approach uses a theoretical framework of communication in order to support the consumer’s capacity to understand health-related web-based resources.

  15. Granular computing and intelligent systems design with information granules of higher order and higher type

    CERN Document Server

    Pedrycz, Witold; Chen, Shyi-Ming

    2011-01-01

    Information granules are conceptual entities that aid the perception of complex phenomena. This book looks at granular computing techniques such as algorithmic pursuits and includes diverse applications and case studies from fields such as power engineering.

  16. Intelligent Information Processing for Enhanced Safety in the NAS, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — We propose a system that focuses on how improved information flow between agents acting in a flight deck environment can improve safety performance. Agents are...

  17. Intelligent Information Processing for Enhanced Safety in the NAS, Phase II

    Data.gov (United States)

    National Aeronautics and Space Administration — Our Phase I work focused on how improved information flow between actors in a flight deck environment can improve safety performance. An operational prototype was...

  18. COnCEPT : developing intelligent information systems to support colloborative working across design teams

    NARCIS (Netherlands)

    Liapis, A.; Kantorovitch, J.; Malins, J.; Zafeiropoulos, A.; Haesen, M.; Lopez, M.; Funk, M.; Muñoz Alcantara, J.; Moore, J.P.; Maciver, F.

    2014-01-01

    Rapid developments in hardware and software are creating opportunities to enhance the user experience. For example, advances in social analytics can provide near instant feedback. State of the art information extraction tools, filtering, categorization and presentation mechanisms all greatly

  19. The Media, Intelligence, and Information Proliferation: Managing and Leveraging the Chaos

    National Research Council Canada - National Science Library

    Steetin, Robert

    1999-01-01

    ... the chaos and leverage that coverage and flow of information. Leveraging the coverage only refers to improving and maintaining the leadership's situational awareness in a volatile, uncertain, complex, and ambiguous (VUCA) world...

  20. Future Challenges of Robotics and Artificial Intelligence in Nursing: What Can We Learn from Monsters in Popular Culture?

    Science.gov (United States)

    Erikson, Henrik; Salzmann-Erikson, Martin

    It is highly likely that artificial intelligence (AI) will be implemented in nursing robotics in various forms, both in medical and surgical robotic instruments, but also as different types of droids and humanoids, physical reinforcements, and also animal/pet robots. Exploring and discussing AI and robotics in nursing and health care before these tools become commonplace is of great importance. We propose that monsters in popular culture might be studied with the hope of learning about situations and relationships that generate empathic capacities in their monstrous existences. The aim of the article is to introduce the theoretical framework and assumptions behind this idea. Both robots and monsters are posthuman creations. The knowledge we present here gives ideas about how nursing science can address the postmodern, technologic, and global world to come. Monsters therefore serve as an entrance to explore technologic innovations such as AI. Analyzing when and why monsters step out of character can provide important insights into the conceptualization of caring and nursing as a science, which is important for discussing these empathic protocols, as well as more general insight into human knowledge. The relationship between caring, monsters, robotics, and AI is not as farfetched as it might seem at first glance.

  1. Terrorism and information sharing between the intelligence and law enforcement communities in the US and the Netherlands: emergency criminal law?

    NARCIS (Netherlands)

    Vervaele, J.A.E.

    2005-01-01

    Intelligence sharing between intelligence and police services with a view to preventing and combating terrorism is high on the political agenda in Brussels and The Hague. The Netherlands is one of the few countries in the EU where this topic is subject of political scrutiny. It also led to

  2. National Strategy for Information Sharing: Successes and Challenges in Improving Terrorism-Related Information Sharing

    National Research Council Canada - National Science Library

    2007-01-01

    .... While this Strategy describes the vision that has guided the Administration for the past six years, it also sets forth our plan to build upon progress and establish a more integrated information...

  3. Training Emotional Intelligence Related to Treatment Skills of Staff Working with Clients with Intellectual Disabilities and Challenging Behaviour

    Science.gov (United States)

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

    2011-01-01

    Background: Staff working with clients with intellectual disabilities (ID) who display challenging behaviour may contribute to the continuation of this behaviour, because it causes emotional reactions such as anxiety, anger and annoyance, which may prohibit adequate response behaviour. To enhance staff behaviour and treatment skills a training…

  4. Another 25 Years of AIED? Challenges and Opportunities for Intelligent Educational Technologies of the Future

    Science.gov (United States)

    Pinkwart, Niels

    2016-01-01

    This paper attempts an analysis of some current trends and future developments in computer science, education, and educational technology. Based on these trends, two possible future predictions of AIED are presented in the form of a utopian vision and a dystopian vision. A comparison of these two visions leads to seven challenges that AIED might…

  5. Shifts in information processing level: the speed theory of intelligence revisited.

    Science.gov (United States)

    Sircar, S S

    2000-06-01

    A hypothesis is proposed here to reconcile the inconsistencies observed in the IQ-P3 latency relation. The hypothesis stems from the observation that task-induced increase in P3 latency correlates positively with IQ scores. It is hypothesised that: (a) there are several parallel information processing pathways of varying complexity which are associated with the generation of P3 waves of varying latencies; (b) with increasing workload, there is a shift in the 'information processing level' through progressive recruitment of more complex polysynaptic pathways with greater processing power and inhibition of the oligosynaptic pathways; (c) high-IQ subjects have a greater reserve of higher level processing pathways; (d) a given 'task-load' imposes a greater 'mental workload' in subjects with lower IQ than in those with higher IQ. According to this hypothesis, a meaningful comparison of the P3 correlates of IQ is possible only when the information processing level is pushed to its limits.

  6. Information support of intelligent energy systems and its impact on ensuring adequacy

    Directory of Open Access Journals (Sweden)

    Chukreyev Yuri

    2017-01-01

    Full Text Available The issues of the influence of the changed conditions for obtaining probably-determined information on the operation of generating equipment and power consumption regimes on the decisions taken to ensure the required level of reservation of the territorial zones of the UES of Russia in the current regulatory environment to the indicators of balance reliability are considered. Comparison of the present conditions for presenting the initial information for the estimation of the balance sheet reliability of electric power systems with the conditions for the development of methodological recommendations (MR for the design of power systems in 2003 and not approved by the Ministry of Energy of Russia MR 2012.

  7. A condensed review of the intelligent user modeling of information retrieval system

    International Nuclear Information System (INIS)

    Choi, Kwang

    2001-10-01

    This study discussed theoretical aspects of user modeling, modeling cases of commecial systems and elements that need consideration when constructing user models. The results of this study are 1) Comprehensive and previous analysis of system users is required to bulid user model. 2) User information is collected from users directly and inference. 3) Frame structure is compatible to build user model. 4) Prototype user model is essential to bulid a user model and based on previous user analysis. 5) User model builder has interactive information collection, inference, flexibility, model updating functions. 6) User model builder has to reflect user's feedback

  8. A condensed review of the intelligent user modeling of information retrieval system

    Energy Technology Data Exchange (ETDEWEB)

    Choi, Kwang

    2001-10-01

    This study discussed theoretical aspects of user modeling, modeling cases of commecial systems and elements that need consideration when constructing user models. The results of this study are 1) Comprehensive and previous analysis of system users is required to bulid user model. 2) User information is collected from users directly and inference. 3) Frame structure is compatible to build user model. 4) Prototype user model is essential to bulid a user model and based on previous user analysis. 5) User model builder has interactive information collection, inference, flexibility, model updating functions. 6) User model builder has to reflect user's feedback.

  9. The Interaction of Temporal and Spectral Acoustic Information with Word Predictability on Speech Intelligibility

    Science.gov (United States)

    Shahsavarani, Somayeh Bahar

    High-level, top-down information such as linguistic knowledge is a salient cortical resource that influences speech perception under most listening conditions. But, are all listeners able to exploit these resources for speech facilitation to the same extent? It was found that children with cochlear implants showed different patterns of benefit from contextual information in speech perception compared with their normal-haring peers. Previous studies have discussed the role of non-acoustic factors such as linguistic and cognitive capabilities to account for this discrepancy. Given the fact that the amount of acoustic information encoded and processed by auditory nerves of listeners with cochlear implants differs from normal-hearing listeners and even varies across individuals with cochlear implants, it is important to study the interaction of specific acoustic properties of the speech signal with contextual cues. This relationship has been mostly neglected in previous research. In this dissertation, we aimed to explore how different acoustic dimensions interact to affect listeners' abilities to combine top-down information with bottom-up information in speech perception beyond the known effects of linguistic and cognitive capacities shown previously. Specifically, the present study investigated whether there were any distinct context effects based on the resolution of spectral versus slowly-varying temporal information in perception of spectrally impoverished speech. To that end, two experiments were conducted. In both experiments, a noise-vocoded technique was adopted to generate spectrally-degraded speech to approximate acoustic cues delivered to listeners with cochlear implants. The frequency resolution was manipulated by varying the number of frequency channels. The temporal resolution was manipulated by low-pass filtering of amplitude envelope with varying low-pass cutoff frequencies. The stimuli were presented to normal-hearing native speakers of American

  10. Blindness in designing intelligent systems

    Science.gov (United States)

    Denning, Peter J.

    1988-01-01

    New investigations of the foundations of artificial intelligence are challenging the hypothesis that problem solving is the cornerstone of intelligence. New distinctions among three domains of concern for humans--description, action, and commitment--have revealed that the design process for programmable machines, such as expert systems, is based on descriptions of actions and induces blindness to nonanalytic action and commitment. Design processes focusing in the domain of description are likely to yield programs like burearcracies: rigid, obtuse, impersonal, and unable to adapt to changing circumstances. Systems that learn from their past actions, and systems that organize information for interpretation by human experts, are more likely to be successful in areas where expert systems have failed.

  11. Advances in Collective Intelligence 2011

    CERN Document Server

    Baumöl, Ulrike; Krämer, Bernd

    2012-01-01

    Collective intelligence has become an attractive subject of interest for both academia and industry. More and more conferences and workshops discuss the impact of the users‘ motivation to participate in the value creation process, the enabling role of leading-edge information and communication technologies and the need for better algorithms to deal with the growing amount of shared data. There are many interesting and challenging topics that need to be researched and discussed with respect to knowledge creation, creativity and innovation processes carried forward in the emerging communities of practice. COLLIN is on the path to become the flagship conference in the areas of collective intelligence and ICT-enabled social networking. We were delighted to again receive contributions from different parts of the world including Australia, Europe, Asia, and the United States. Encouraged by the positive response, we plan COLLIN 2012 to be held next year end of August at FernUniverstität in Hagen. In order to guar...

  12. Application of Artificial Intelligence to the DoD Corporate Information Management (CIM) Program

    Science.gov (United States)

    1992-04-01

    problem of balancing the investments of the corporation between several possible assets; buildings, machine tools, training, R&D and "information...and quality of worklife /learning/empowerment. For the moment the driving factor for the DoD has been identified as cost reduction, however it is clear

  13. Downsizing information systems : framing the issues for the Office of Naval Intelligence (ONI)

    OpenAIRE

    Hutson, Peter M.

    1994-01-01

    Downsizing information systems from large and centralized mainframe computing architectures to smaller and distributed desktop systems is one of the most difficult and critical strategic decisions facing both corporate and government organizations. Vendor advertisements and media hype often boast of huge cost savings and greater flexibility while retaining mainframe-strength performance. Cryptic terminology, biased vendor assistance, and rapidly changing technology complicate already difficul...

  14. Southwell's Relaxation Search in Computer Aided Advising: An Intelligent Information System.

    Science.gov (United States)

    Song, Xueshu

    1992-01-01

    Describes the development and validation of a microcomputer software system that enhances undergraduate students' interests in becoming engineering graduate students. The development of a database with information on engineering graduate programs is discussed, and a model that matches individual and institutional needs using Southwell's Relaxation…

  15. Military Leadership in the Context of Challenges and Threats Existing in Information Environment

    Directory of Open Access Journals (Sweden)

    Tomasz Kacała

    2015-06-01

    Full Text Available The aim of the paper is to present the role of a military leader in engaging the challenges and threats existing in the I nformation Environment (IE. Military leadership is crucial for the functioning of a particular form of hierarchical institution, namely the armed forces, in their external surrounding called O perational Environment (OE. A specific type of O E is I nformation Environment (IE characterized by the three dimensions: physical, informational and cognitive. Moreover, its characteristics include the occurrence of a number of challenges and threats. The most important challenges include: overabundance of information, unstructured information, problematic value of information and low information-related competences of its users. I n turn, the most important of the threats identified in the I E are disinformation and propaganda. The role of an effective leader is to prevent, and if it is impossible, to alleviate the consequences of the challenges and threats that may disrupt or even prevent the achievement of the objectives set by an organisation.

  16. Competitive Intelligence and Social Advantage.

    Science.gov (United States)

    Davenport, Elisabeth; Cronin, Blaise

    1994-01-01

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

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

    Science.gov (United States)

    2011-01-01

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

  18. Challenges in using a probabilistic safety assessment in a risk informed process (illustrated using risk informed inservice inspection)

    International Nuclear Information System (INIS)

    Chapman, James R.; Dimitrijevic, Vesna B.

    1999-01-01

    Many of the ongoing and expected uses of Probabilistic Safety Assessment (PSA) create new challenges to ensuring that the resulting conclusions are valid. This paper provides a summary of some of these challenges. Work conducted by the authors on Risk-Informed Inservice Inspection (RI-ISI) is used to illustrate these challenges. Means to address all of the challenges are not provided in detail in this paper. Several earlier papers discuss how these challenges can be addressed. References are provided for the interested reader (Chapman JR et al. In: PSA '95, vol. 1, Seoul, 1995: 177-80; Chapman JR et al. In: ICONE-IV, New Orleans, 1996; Dimitrijevic VB et al. In: Croatian Nuclear Society International Conference, Opatija, 1996: 245-54; Dimitrijevic VB et al. In: Croatian Nuclear Society International Conference, Opatija, 1996: 255-62; Dimitrijevic VB. In: Yugoslav Nuclear Society Conference, Belgrade, 1996: 53-61; O'Regan PJ et al. In: PSA '95, Seoul, vol. 1, 1995: 403-5; O'Regan PJ. In: ICONE-IV, vol. 5, New Orleans, 1996: 277-80)

  19. SaaS Model, Virtualization and Information Safety - Challenge for Online Business

    OpenAIRE

    Ioana Lupasc; Gabriela Gheorghe

    2016-01-01

    The advantages of new information technologies are present in all fields, while disadvantages, weaknesses represent a relatively recent topic of study. Security issues currently facing online business is new concerns for European legislative environment and new challenges of finding methods of securing technology solution providers offered information. As for Schengen terrorist threats represent a threat to the proper functioning of the European Economic Area also the online business cyber ...

  20. SaaS Model, Virtualization and Information Safety - Challenge for Online Business

    Directory of Open Access Journals (Sweden)

    Ioana Lupasc

    2016-07-01

    Full Text Available The advantages of new information technologies are present in all fields, while disadvantages, weaknesses represent a relatively recent topic of study. Security issues currently facing online business is new concerns for European legislative environment and new challenges of finding methods of securing technology solution providers offered information. As for Schengen terrorist threats represent a threat to the proper functioning of the European Economic Area also the online business cyber threats have the effect of impeding and even huge losses.

  1. Finding food: Issues and challenges in using Geographic Information Systems to measure food access

    OpenAIRE

    Forsyth, Ann; Lytle, Leslie; Riper, David Van

    2010-01-01

    A significant amount of travel is undertaken to find food. This paper examines challenges in measuring access to food using Geographic Information Systems (GIS), important in studies of both travel and eating behavior. It compares different sources of data available including fieldwork, land use and parcel data, licensing information, commercial listings, taxation data, and online street-level photographs. It proposes methods to classify different kinds of food sales places in a way that says...

  2. Handbook of Intelligent Vehicles

    CERN Document Server

    2012-01-01

    The Handbook of Intelligent Vehicles provides a complete coverage of the fundamentals, new technologies, and sub-areas essential to the development of intelligent vehicles; it also includes advances made to date, challenges, and future trends. Significant strides in the field have been made to date; however, so far there has been no single book or volume which captures these advances in a comprehensive format, addressing all essential components and subspecialties of intelligent vehicles, as this book does. Since the intended users are engineering practitioners, as well as researchers and graduate students, the book chapters do not only cover fundamentals, methods, and algorithms but also include how software/hardware are implemented, and demonstrate the advances along with their present challenges. Research at both component and systems levels are required to advance the functionality of intelligent vehicles. This volume covers both of these aspects in addition to the fundamentals listed above.

  3. COMPETITIVE INTELLIGENCE ANALYSIS - SCENARIOS METHOD

    Directory of Open Access Journals (Sweden)

    Ivan Valeriu

    2014-07-01

    Full Text Available Keeping a company in the top performing players in the relevant market depends not only on its ability to develop continually, sustainably and balanced, to the standards set by the customer and competition, but also on the ability to protect its strategic information and to know in advance the strategic information of the competition. In addition, given that economic markets, regardless of their profile, enable interconnection not only among domestic companies, but also between domestic companies and foreign companies, the issue of economic competition moves from the national economies to the field of interest of regional and international economic organizations. The stakes for each economic player is to keep ahead of the competition and to be always prepared to face market challenges. Therefore, it needs to know as early as possible, how to react to others’ strategy in terms of research, production and sales. If a competitor is planning to produce more and cheaper, then it must be prepared to counteract quickly this movement. Competitive intelligence helps to evaluate the capabilities of competitors in the market, legally and ethically, and to develop response strategies. One of the main goals of the competitive intelligence is to acknowledge the role of early warning and prevention of surprises that could have a major impact on the market share, reputation, turnover and profitability in the medium and long term of a company. This paper presents some aspects of competitive intelligence, mainly in terms of information analysis and intelligence generation. Presentation is theoretical and addresses a structured method of information analysis - scenarios method – in a version that combines several types of analysis in order to reveal some interconnecting aspects of the factors governing the activity of a company.

  4. Brain Intelligence: Go Beyond Artificial Intelligence

    OpenAIRE

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

    2017-01-01

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

  5. Intelligent information data base of flow boiling characteristics in once-through steam generator for integrated type marine water reactor

    International Nuclear Information System (INIS)

    Inasaka, Fujio; Nariai, Hideki

    1998-01-01

    Valuable experimental knowledge with flow boiling characteristics of the helical-coil type once-through steam generator was converted into an intelligent information data base program. The program was created as a windows application using the Visual Basic. Main functions of the program are as follows: (1) steady state flow boiling analysis of any helical-coil type once-through steam generator, (2) analysis and comparison with the experimental data, (3) reference and graph display of the steady state experimental data, (4) reference of the flow instability experimental data and display of the instability threshold correlated by each parameter, (5) summary of the experimental apparatus. (6) menu bar such as a help and print. In the steady state analysis, the region lengths of subcooled boiling, saturated boiling, and super-heating, and the temperature and pressure distributions etc. for secondary water calculated. Steady state analysis results agreed well with the experimental data, with the exception of the pressure drop at high mass velocity. The program will be useful for the design of not only the future integrated type marine water reactor but also the small sized water reactor with helical-coil type steam generator

  6. BUSINESS INTELLIGENCE – PAST, PRESENT AND FUTURE

    Directory of Open Access Journals (Sweden)

    Cătălina Monica ALEXE

    2014-06-01

    Full Text Available In a society constantly evolving, with information technologies being in a permanent transformation, the managers of agile, flexible organizations, which are equipped with the latest tools for making decisions and with people well trained to use them, will be able to successfully meet the challenges of the future. This paper presents the evolution of Business Intelligence and a comparative analysis between two modern developments of it, such as Mobile Business Intelligence and Cloud Business Intelligence, with accent on the advantages, disadvantages, implications and benefits at the company level. These are useful tools suitable for the management of the companies that are obliged to operate in a global economy facing with crisis.

  7. Algorithms, Interfaces, and the Circulation of Information: Interrogating the Epistemological Challenges of Facebook

    DEFF Research Database (Denmark)

    Schou, Jannick; Farkas, Johan

    2016-01-01

    As social and political life increasingly takes place on social network sites, new epistemological questions have emerged. How can information disseminated through new media be understood and disentangled? How can potential hidden agendas or sources be identified? And what mechanisms govern what ...... suggests that new epistemological challenges deserve more scholarly attention, as they hold wide implications for both researchers and users....

  8. Identifying the Ethical Challenges Encountered by Information Technology Professionals Working within the Nevada Casino Industry

    Science.gov (United States)

    Essig, Michael R.

    2014-01-01

    A thematic analysis qualitative study was used to identify the unethical challenges encountered by Information Technology (IT) professionals working within the Nevada casino industry. Fourteen current and former IT leaders working or who worked in the Nevada casino industry were interviewed. Using thematic analysis, nine themes regarding ethical…

  9. Information and Communications Technology (ICT) in Nigeria Educational Assessment System--Emerging Challenges

    Science.gov (United States)

    Aworanti, Olatunde Awotokun

    2016-01-01

    This paper examines Information and Communications Technology (ICT) in Nigeria educational assessment system with its emerging challenges. This is inevitable following the globalisation trend which has brought drastic changes in the world of technology. The essence of the paper is to describe the present status of ICT in the Nigeria educational…

  10. Designing a framework of intelligent information processing for dentistry administration data.

    Science.gov (United States)

    Amiri, N; Matthews, D C; Gao, Q

    2005-07-01

    This study was designed to test a cumulative view of current data in the clinical database at the Faculty of Dentistry, Dalhousie University. We planned to examine associations among demographic factors and treatments. Three tables were selected from the database of the faculty: patient, treatment and procedures. All fields and record numbers in each table were documented. Data was explored using SQL server and Visual Basic and then cleaned by removing incongruent fields. After transformation, a data warehouse was created. This was imported to SQL analysis services manager to create an OLAP (Online Analytic Process) cube. The multidimensional model used for access to data was created using a star schema. Treatment count was the measurement variable. Five dimensions--date, postal code, gender, age group and treatment categories--were used to detect associations. Another data warehouse of 8 tables (international tooth code # 1-8) was created and imported to SAS enterprise miner to complete data mining. Association nodes were used for each table to find sequential associations and minimum criteria were set to 2% of cases. Findings of this study confirmed most assumptions of treatment planning procedures. There were some small unexpected patterns of clinical interest. Further developments are recommended to create predictive models. Recent improvements in information technology offer numerous advantages for conversion of raw data from faculty databases to information and subsequently to knowledge. This knowledge can be used by decision makers, managers, and researchers to answer clinical questions, affect policy change and determine future research needs.

  11. A computational intelligent approach to multi-factor analysis of violent crime information system

    Science.gov (United States)

    Liu, Hongbo; Yang, Chao; Zhang, Meng; McLoone, Seán; Sun, Yeqing

    2017-02-01

    Various scientific studies have explored the causes of violent behaviour from different perspectives, with psychological tests, in particular, applied to the analysis of crime factors. The relationship between bi-factors has also been extensively studied including the link between age and crime. In reality, many factors interact to contribute to criminal behaviour and as such there is a need to have a greater level of insight into its complex nature. In this article we analyse violent crime information systems containing data on psychological, environmental and genetic factors. Our approach combines elements of rough set theory with fuzzy logic and particle swarm optimisation to yield an algorithm and methodology that can effectively extract multi-knowledge from information systems. The experimental results show that our approach outperforms alternative genetic algorithm and dynamic reduct-based techniques for reduct identification and has the added advantage of identifying multiple reducts and hence multi-knowledge (rules). Identified rules are consistent with classical statistical analysis of violent crime data and also reveal new insights into the interaction between several factors. As such, the results are helpful in improving our understanding of the factors contributing to violent crime and in highlighting the existence of hidden and intangible relationships between crime factors.

  12. Dealing with Resilience Conceptualisation. Formal Ontologies as a Tool for Implementation of Intelligent Geographic Information Systems

    Directory of Open Access Journals (Sweden)

    Giampiero Lombardini

    2014-05-01

    Full Text Available The paper addresses the issue of the representation of the concept of resilience (urban, environmental and landscape resilience in the context of geographic information systems. In the current technical and scientific debate, resilience is configured as an intrinsic property of a system to switch from one equilibrium state to another without losing its basic internal structure, also definable in terms of "identity." The paths to success or stable growth as well as those of continuing and recursive crisis, although already explained in macroeconomic terms through the mechanisms of accumulation and multiplication (cumulative advantage, are also interpreted in terms of resilience. So, in the field of studies on spatial planning, the concept of resilience became particularly significant in an era characterized by great instability of social systems, deep economic and environmental crisis. In the process of urban and regional planning, conceive the development of an urban region in terms of resilience means using the logic of complex systems and then adapt in this way their methods of knowledge representation. The concept of resilience is multi-dimensional and vague, so its conceptualization is complex. The formal ontologies can be a useful tool to orient geographic information systems towards more complex forms of knowledge representation and to adapt them to the requirements of logic and formal complex systems, such as today's urban regions.

  13. The challenge of managing laboratory information in a managed care environment.

    Science.gov (United States)

    Friedman, B A

    1996-04-01

    This article considers some of the major changes that are occurring in pathology and pathology informatics in response to the shift to managed care in the United States. To better understand the relationship between information management in clinical laboratories and managed care, a typology of integrated delivery systems is presented. Following this is a discussion of the evolutionary trajectory for the computer networks that serve these large consolidated healthcare delivery organizations. The most complex of these computer networks is a community health information network. Participation in the planning and deployment of community health information networks will be important for pathologists because information management within pathology will be inexorably integrated into the larger effort by integrated delivery systems to share clinical, financial, and administrative data on a regional basis. Finally, four laboratory information management challenges under managed care are discussed, accompanied by possible approaches to each of them. The challenges presented are (1) organizational integration of departmental information systems such as the laboratory information system; (2) weakening of the best-of-breed approach to laboratory information system selection; (3) the shift away from the centralized laboratory paradigm; and (4) the development of rule-based systems to monitor and control laboratory utilization.

  14. EVALUATING SKILLS AND CHALLENGES AS ANTECEDENTS OF COMPELLING ONLINE INFORMATION-SEEKING EXPERIENCES

    Directory of Open Access Journals (Sweden)

    Alina LAZOC

    2013-06-01

    Full Text Available In contemporary information societies, consumers are increasingly expected to be proficient users of online information to support and guide their buying decisions. Due to the world wide web and its availability on a wide range of connectable devices, information from infinite commercial and non-commercial sources can be instantly accessed and used. However, consumers’ level of self-efficacy in dealing with technology and the wide range of information content as well as the extent to which they feel cognitively challenged by the technological and content issues may significantly influence the intensity of their involvement with companies’ marketing information. Based on the online flow theory, describing total involvement experiences, as well as on recent developments of the information literacy construct, in the present paper we propose a research instrument for assessing two essential preconditions of optimal, highly engaging consumer online information-seeking experiences. We posit that consumers have compelling online search experiences when the level of both their technical and their cognitive skills match the informational challenges perceived in the online medium. Nevertheless, the following study represents only the first step in a complex scale development process and in building and testing the structural model describing causal relationships between flow constructs.

  15. Dark matter RNA: an intelligent scaffold for the dynamic regulation of the nuclear information landscape

    Science.gov (United States)

    St. Laurent, Georges; Savva, Yiannis A.; Kapranov, Philipp

    2012-01-01

    Perhaps no other topic in contemporary genomics has inspired such diverse viewpoints as the 95+% of the genome, previously known as “junk DNA,” that does not code for proteins. Here, we present a theory in which dark matter RNA plays a role in the generation of a landscape of spatial micro-domains coupled to the information signaling matrix of the nuclear landscape. Within and between these micro-domains, dark matter RNAs additionally function to tether RNA interacting proteins and complexes of many different types, and by doing so, allow for a higher performance of the various processes requiring them at ultra-fast rates. This improves signal to noise characteristics of RNA processing, trafficking, and epigenetic signaling, where competition and differential RNA binding among proteins drives the computational decisions inherent in regulatory events. PMID:22539933

  16. Survey of agent for intelligent information retrieval; Chiteki kensaku no tame no agent no chosa

    Energy Technology Data Exchange (ETDEWEB)

    Yazawa, T [Central Research Institute of Electric Power Industry, Tokyo (Japan)

    1996-09-01

    Development of agent systems has been surveyed, to classify and arrange characteristic functions of the agents, and to grasp the realization situation of these agents in their development. In addition, prospective functions of information retrieval systems using the agents at maximum and functions to be developed among these in the future are clarified. The agents are characterized by the expression function, communication function, planning function, adaptive function, and learning function. The agents are desired to be classified into interface agents whose works are to respond to individual workers, coordinator agents which conduct works with high pervasion, such as assignment of works and their control, and task agents which conduct specialized works for individual examples. Thus, design and configuration of the agent system, and improvement and expansion of system functions can be effectively and easily conducted. 52 refs., 5 figs., 3 tabs.

  17. The Challenges Faced by Informal Traders in Greater Letaba Municipality in Limpopo Province, South Africa

    Directory of Open Access Journals (Sweden)

    Kole Legodi

    2015-12-01

    Full Text Available Informal trade has grown at an alarming rate in South Africa because of lack of employment opportunities in both the private and public sectors. This has resulted in many unemployed members of the population joining the informal business sector. The majority of people in this sector do not have skills that are needed in the formal employment sector, others are semi-literate and a small percentage has some level of qualification. Nevertheless, this sector is plagued by a number of challenges which this article presents.  The article reports on the study that was conducted at Greater Letaba Municipality in Limpopo Province. The aim of the study was to investigate the challenges that were faced by informal traders in Greater Letaba Municipality in Limpopo Province in South Africa. The area was chosen because of its accessibility to the researchers and its potential to provide relevant and accurate information for the research project. Thus, a qualitative research method was used to collect data through face to face interviews. The research discovered that some of the challenges experienced by the informal traders in the area ranged from lack of support from the local municipality to structural challenges like lack of ablution facilities and limited access to electricity. Furthermore, other challenges concerned safety and health issues that were also gender based. Most of the traders in the area were women; an element which attest to the fact that it is difficult to find employment in the country when one is less educated and is also a woman.

  18. Social intelligence, human intelligence and niche construction.

    Science.gov (United States)

    Sterelny, Kim

    2007-04-29

    This paper is about the evolution of hominin intelligence. I agree with defenders of the social intelligence hypothesis in thinking that externalist models of hominin intelligence are not plausible: such models cannot explain the unique cognition and cooperation explosion in our lineage, for changes in the external environment (e.g. increasing environmental unpredictability) affect many lineages. Both the social intelligence hypothesis and the social intelligence-ecological complexity hybrid I outline here are niche construction models. Hominin evolution is hominin response to selective environments that earlier hominins have made. In contrast to social intelligence models, I argue that hominins have both created and responded to a unique foraging mode; a mode that is both social in itself and which has further effects on hominin social environments. In contrast to some social intelligence models, on this view, hominin encounters with their ecological environments continue to have profound selective effects. However, though the ecological environment selects, it does not select on its own. Accidents and their consequences, differential success and failure, result from the combination of the ecological environment an agent faces and the social features that enhance some opportunities and suppress others and that exacerbate some dangers and lessen others. Individuals do not face the ecological filters on their environment alone, but with others, and with the technology, information and misinformation that their social world provides.

  19. Artificial Intelligence and Moral intelligence

    OpenAIRE

    Laura Pana

    2008-01-01

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

  20. Social challenges when implementing information systems in everyday work in a nursing context.

    Science.gov (United States)

    Nilsson, Lina; Eriksén, Sara; Borg, Christel

    2014-09-01

    Implementation of information systems in healthcare has become a lengthy process where healthcare staff (eg, nurses) are expected to put information into systems without getting the overall picture of the potential usefulness for their own work. The aim of this study was to explore social challenges when implementing information systems in everyday work in a nursing context. Moreover, this study aimed at putting perceived social challenges in a theoretical framework to address them more constructively when implementing information systems in healthcare. Influenced by institutional ethnography, the findings are based on interviews, observations, and written reflections. Power (changing the existing hierarchy, alienation), professional identity (calling on hold, expert becomes novice, changed routines), and encounter (ignorant introductions, preconceived notions) were categories (subcategories) presented in the findings. Social Cognitive Theory, Diffusion of Innovations, organizational culture, and dramaturgical analysis are proposed to set up a theoretical framework. If social challenges are not considered and addressed in the implementation process, it will be affected by nurses' solidarity to existing power structures and their own professional identity. Thus, implementation of information systems affects more aspects in the organization than might have been intended. These aspects need to be taken in to account in the implementation process.

  1. Challenges associated with informed consent in low- and low-middle-income countries

    Directory of Open Access Journals (Sweden)

    Melissa Upjohn

    2016-10-01

    Full Text Available Frontiers in Veterinary Medicine endorse the Helsinki declaration and guidelines of the International Committee of Medical and Journal Editors, including the requirement to obtain informed consent from all research participants. Whilst the concept of informed consent is well understood in western research environments, its components require further consideration when reviewing studies involving humans and owned animals in low- and middle-income countries (LMICs in order to take account of different social, educational and research norms. This piece identifies some of the challenges that need to be considered and how they might affect the process of obtaining informed consent. It explains the approach taken by an animal welfare non-governmental organization working in LMICs to addressing these challenges. It also identifies questions that reviewers might consider when asked to comment on work originating in this context.

  2. INTEGRATION CHALLENGES OF UNIVERSITY AND INFORMATION MANAGEMENT SYSTEM (UIMS TO MOODLE

    Directory of Open Access Journals (Sweden)

    Jyldyzbek J. Jakshylykov

    2016-06-01

    Full Text Available Introduction: in 2006 an International Ataturk Ala-Too University (IAAU began to adopt internationally recognised Bologna system, which was initiated by the Ministry of Science and Education of Kyrgyz Republic because of problems of managerial and educational problems at universities in Kyrgyzstan. Consequently, IAAU had to improve its information and grading system and created University Information and Manage¬ment System (UIMS, which was developed by the university professional team including the author. At the same time, the university began to apply a Moodle software, which delivers open source management system programs, in order to appropriately manage teaching proc esses and manage courses online. Materials and Methods: the methodological basis of the research are descriptive method, analysis, and comparison. Results: however, the IAAU faced some challenged issues in the application of the two innovation, which was the integration challenges of those Moodle and UIMS. Hence, the main purpose of this study is to demonstrate benefits of Moodle and UIMS linking challenges. at first, this paper informs Moodle functions, features, advantages and disadvantages in a shortly manner and UIMS management features and primary functions, which included six fundamentally crucial processes with some graphical representations. In addition, the analysis and methodologies of two systems through identifying advantages and disadvantages for the possible integ ration. Discussion and Conclusions: at the end, some challenged issues were identified from analysis results, also Moodle and UIMS benefits were demonstrated in the International Ataturk Ala-Too University.

  3. Business Intelligence Integrated Solutions

    Directory of Open Access Journals (Sweden)

    Cristescu Marian Pompiliu

    2017-01-01

    Full Text Available This paper shows how businesses make decisions better and faster in terms of customers, partners and operations by turning data into valuable business information. The paper describes how to bring together people's and business intelligence information to achieve successful business strategies. There is the possibility of developing business intelligence projects in large and medium-sized organizations only with the Microsoft product described in the paper, and possible alternatives can be discussed according to the required features.

  4. Information resources for assessing health effects from chemical exposure: Challenges, priorities, and future issues

    Energy Technology Data Exchange (ETDEWEB)

    Seigel, S. [National Library of Medicine, Bethesda, MD (United States)

    1990-12-31

    Issues related to developing information resources for assessing the health effects from chemical exposure include the question of how to address the individual political issues relevant to identifying and determining the timeliness, scientific credibility, and completeness of such kinds of information resources. One of the important ways for agencies to share information is through connection tables. This type of software is presently being used to build information products for some DHHS agencies. One of the challenges will be to convince vendors of data of the importance of trying to make data files available to communities that need them. In the future, information processing will be conducted with neural networks, object-oriented database management systems, and fuzzy-set technologies, and meta analysis techniques.

  5. Challenges, needs, and experiences of recently hospitalized cardiac patients and their informal caregivers.

    Science.gov (United States)

    Blair, Judith; Volpe, Marie; Aggarwal, Brooke

    2014-01-01

    Cardiovascular disease (CVD) is the leading cause of death in the United States. Unpaid family caregivers of patients who experienced a cardiac event may occupy a key position in disseminating continuous health messages to these patients, yet more information is needed to guide the development of educational and behavioral interventions targeting caregivers. The purpose of this qualitative study was to assess the challenges, needs, and personal experiences of cardiac patients and their informal caregivers to explore the types of programs and services that would be most beneficial in promoting adherence to national CVD guidelines among cardiac patients and their caregivers. Patients who had been admitted to the cardiovascular service line of a large urban academic medical center and their informal caregivers (N = 38, 63% women, 74% white) participated in semistructured interviews and focus groups. Participants were asked to speak about 4 major categories of their personal experiences: support, challenges, coping, and program delivery, to determine their needs, the kind of educational interventions that would be most helpful to them, and how they would prefer this information/education to be delivered. Both patients and caregivers ranked diet as the most pressing challenge (91% and 78%, respectively). The Internet, television, and social media were the preferred methods of delivery of such programs. Challenges most commonly cited by caregivers and patients included issues related to taking/administering prescribed medications and medication side effects, and mental stress. Caregivers expressed that not knowing what to expect after the patient's discharge from the hospital was a major stressor. These findings may inform the development of educational interventions targeted to cardiac caregivers so that they may be more effective in assisting the patients in their care to adhere to national CVD prevention guidelines.

  6. Mass Media’s Perspective on the Challenges of Information and Communication Technology (ICT) in Indonesia

    Science.gov (United States)

    Junaidi

    2017-12-01

    This study investigated the challenges of Information and Communication Technology (ICT) in Indonesia based on mass media’s perspective. The challenges of ICT on mass media’s perspective are very complex. Some of these challenges include the consideration of the advantages and disadvantages of ICT, threats to the unity of the country, cultural problems, regulation, business competition among operators, Pokemon Go booming, the existence of social media which triggers hostility between people and the increasing rate of the interconnection cost. Among the main reasons to this phenomenon is a need of massive investment to build the infrastructures. This study used Robert N. Entman framing model to analyze the headlines of Majalah ICT (an ICT magazine).

  7. Algorithms, Interfaces, and the Circulation of Information: Interrogating the Epistemological Challenges of Facebook

    Directory of Open Access Journals (Sweden)

    Jannick Schou

    2016-05-01

    Full Text Available As social and political life increasingly takes place on social network sites, new epistemological questions have emerged. How can information disseminated through new media be understood and disentangled? How can potential hidden agendas or sources be identified? And what mechanisms govern what and how information is presented to the user? By drawing on existing research on the algorithms and interfaces underlying social network sites, this paper provides a discussion of Facebook and the epistemological challenges, potentials, and questions raised by the platform. The paper specifically discusses the ways in which interfaces shape how information can be accessed and processed by different kinds of users as well as the role of algorithms in pre-selecting what appears as representable information. A key argument of the paper is that Facebook, as a complex socio-technical network of human and non-human actors, has profound epistemological implications for how information can be accessed, understood, and circulated. In this sense, the user’s potential acquisition of information is shaped and conditioned by the technological structure of the platform. Building on these arguments, the paper suggests that new epistemological challenges deserve more scholarly attention, as they hold wide implications for both researchers and users

  8. Business Intelligence Systems

    Directory of Open Access Journals (Sweden)

    Bogdan NEDELCU

    2014-02-01

    Full Text Available The aim of this article is to show the importance of business intelligence and its growing influence. It also shows when the concept of business intelligence was used for the first time and how it evolved over time. The paper discusses the utility of a business intelligence system in any organization and its contribution to daily activities. Furthermore, we highlight the role and the objectives of business intelligence systems inside an organization and the needs to grow the incomes and reduce the costs, to manage the complexity of the business environment and to cut IT costs so that the organization survives in the current competitive climate. The article contains information about architectural principles of a business intelligence system and how such a system can be achieved.

  9. Challenges of using Hospital Information Systems by nurses: comparing academic and non-academic hospitals.

    Science.gov (United States)

    Ahmadian, Leila; Dorosti, Nafise; Khajouei, Reza; Gohari, Sadrieh Hajesmaeel

    2017-06-01

    Hospital Information Systems (HIS) are used for easy access to information, improvement of documentation and reducing errors. Nonetheless, using these systems is faced with some barriers and obstacles. This study identifies the challenges and the obstacles of using these systems in the academic and non-academic hospitals in Kerman. This is a cross-sectional study which was carried out in 2015. The statistical population in this study consisted of the nurses who had been working in the academic and non-academic hospitals in Kerman. A questionnaire consisting of two sections was used. The first section consisted of the demographic information of the participants and the second section comprised 34 questions about the challenges of HIS use. Data were analyzed by the descriptive and statistical analysis (t-test, and ANOVA) using SPSS 19 software. The most common and important challenges in the academic hospitals were about human environment factors, particularly "negative attitude of society toward using HIS". In the non-academic hospitals, the most common and important challenges were related to human factors, and among them, "no incentive to use system" was the main factor. The results of the t-test method revealed that there was a significant relationship between gender and the mean score of challenges related to the organizational environment category in the academic hospitals and between familiarity with HIS and mean score of human environment factors (pinformation systems are the factors related to the human environment and the human factors. The results of this study can bring a good perspective to the policy makers and the managers regarding obstacles of using HISs from the nurses' perspective, so that they can solve their problems and can successfully implement these systems.

  10. 75 FR 68675 - Controlled Unclassified Information

    Science.gov (United States)

    2010-11-09

    ... information, such as information that involves privacy, security, proprietary business interests, and law... National Intelligence (Director), with respect to the Intelligence Community and after consultation with... necessary to implement this order with respect to intelligence and intelligence-related information...

  11. Intelligent e-Learning Systems: An Educational Paradigm Shift

    Directory of Open Access Journals (Sweden)

    Suman Bhattacharya

    2016-12-01

    Full Text Available Learning is the long process of transforming information as well as experience into knowledge, skills, attitude and behaviors. To make up the wide gap between the demand of increasing higher education and comparatively limited resources, more and more educational institutes are looking into instructional technology. Use of online resources not only reduces the cost of education but also meet the needs of society. Intelligent e-learning has become one of the important channels to reach out to students exceeding geographic boundaries. Besides this, the characteristics of e-learning have complicated the process of education, and have brought challenges to both instructors and students. This paper will focus on the discussion of different discipline of intelligent e-learning like scaffolding based e-learning, personalized e-learning, confidence based e-learning, intelligent tutoring system, etc. to illuminate the educational paradigm shift in intelligent e-learning system.

  12. PLANNING INTELLIGENCE ACTIVITIES IN A DYNAMIC SECURITY ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    Anca Pavel

    2016-10-01

    Full Text Available The hypothesis introduced by this article is that, in order to perform intelligence missions and to obtain valuable intelligence for the consumers it is necessary to implement processes and tools to support planning activities. Today's challenges consist rather in the ability of intelligence organizations to identify and initiate new connections, processes and communication flows with other partners operating in the security environment than to plan in their own name secret operations. From this point of view, planning activities should focus on new procedures, at a much more extensive level in order to align institutional efforts beyond the boundaries of their own organization and the national community of information. Also, in order to coordinate intelligence activities, strategic planning must be anchored into a complex analysis of the potential impact of existing and possible future global phenomena that shape the security environment and thus identify better ways of improving results.

  13. Pathogen intelligence

    Directory of Open Access Journals (Sweden)

    Michael eSteinert

    2014-01-01

    Full Text Available 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 behaviour, but also collective sensing, interbacterial communication, distributed information processing, joint decision making, dissociative behaviour, 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.

  14. Intelligence analysis – the royal discipline of Competitive Intelligence

    Directory of Open Access Journals (Sweden)

    František Bartes

    2011-01-01

    Full Text Available The aim of this article is to propose work methodology for Competitive Intelligence teams in one of the intelligence cycle’s specific area, in the so-called “Intelligence Analysis”. Intelligence Analysis is one of the stages of the Intelligence Cycle in which data from both the primary and secondary research are analyzed. The main result of the effort is the creation of added value for the information collected. Company Competiitve Intelligence, correctly understood and implemented in business practice, is the “forecasting of the future”. That is forecasting about the future, which forms the basis for strategic decisions made by the company’s top management. To implement that requirement in corporate practice, the author perceives Competitive Intelligence as a systemic application discipline. This approach allows him to propose a “Work Plan” for Competitive Intelligence as a fundamental standardized document to steer Competitive Intelligence team activities. The author divides the Competitive Intelligence team work plan into five basic parts. Those parts are derived from the five-stage model of the intelligence cycle, which, in the author’s opinion, is more appropriate for complicated cases of Competitive Intelligence.

  15. Issues, challenges, and approaches for risk-informed decommissioning in the United States

    International Nuclear Information System (INIS)

    Orlando, D.A.; Johnson, R.L.

    2005-01-01

    Full text: The U.S. Nuclear Regulatory Commission (US-NRC) is the principal Federal regulatory authority in the United States responsible for ensuring public health and safety from the civilian use of radioactive material. US-NRC staff has developed and implemented various risk-informed approaches for regulating and managing the remediation of contaminated sites. A risk-informed approach to regulating the decommissioning of nuclear facilities has been generally defined by the US-NRC staff as an approach to decision-making that uses risk insights as well as traditional considerations to focus regulator and licensee attention on decommissioning activities commensurate with their importance to health and safety. Ensuring that decommissioning is carried out using a risk-informed approach should improve the focus on safety in decommissioning, improve the effectiveness, efficiency, and realism in regulatory decisions, and reduce unnecessary regulatory burden, and cost, on licensees. This paper summarizes the efforts by the US-NRC to develop and implement risk-informed approaches to the remediation of nuclear facilities in the United States. It also discusses the issues and challenges encountered by the US-NRC in attempting to implement a risk-informed approach to decommissioning. The US-NRC has been incrementally implementing its existing risk-informed and performance-based approach as it has completed its decommissioning regulations, guidance and other tools over the past several years. The principal challenge for US-NRC is implementing the existing risk-informed approach at specific sites in a manner that maintains safety, reduces costs, and enhances public understanding of the US-NRC's approach. In addition, effectively communicating how the US-NRC approaches are risk-informed and performance-based; ensuring that licensees understand, and take advantage of, the flexibility in meeting the decommissioning goals; ensuring that licensees and staff are aware of the

  16. A Grand Challenge: Immortal Information and Through-Life Knowledge Management (KIM

    Directory of Open Access Journals (Sweden)

    Alexander Ball

    2006-11-01

    Full Text Available ‘Immortal information and through-life knowledge management: strategies and tools for the emerging product-service business paradigm’, is a Grand Challenge project involving eleven different UK universities and incorporating substantial industry collaboration. It is investigating a range of issues associated with the move towards a product-service paradigm in the engineering sector, in particular the long-term curation of digital data, learning from production and use, and appropriate governance and management techniques.

  17. BARRIERS AND CHALLENGES OF BUILDING INFORMATION MODELLING IMPLEMENTATION IN JORDANIAN CONSTRUCTION INDUSTRY

    OpenAIRE

    Mohammed A.KA. AL-Btoush*, Ahmad Tarmizi Haron

    2017-01-01

    Construction companies are faced with the need to innovatively integrate the construction process and address project development challenges. One way of doing that is the integration of building information modelling (BIM) in the building design and development cycles. However, due to the lack of clear understanding and the absence of a holistic implementation guideline, many companies are unable to fully achieve BIM potentials or implement BIM in their project and building lifecycle. BIM imp...

  18. Teacher Education, Information and Communication Technology: Prospects and Challenges of E-Teaching Profession in Nigeria

    OpenAIRE

    Thomas Olabode Owolabi; Babatope Kolade Oyewole; Jonathan O. Oke

    2013-01-01

    Teachers are indispensable within the teaching – learning process. Hence, they constitute a major input in the accomplishment of educational goals and objectives in all nations. In Nigeria, teacher education has been bedeviled with a lot of challenges in the modern day technology of imparting knowledge in the teaching and learning process. Information and Communication Technology (ICT) is relatively a very new development in Nigerian educational system. ICT plays a significant role in teache...

  19. Informational Support in Pediatric Oncology: Review of the Challenges Among Arab Families.

    Science.gov (United States)

    Otmani, Naïma; Khattab, Mohammed

    2016-11-18

    Childhood cancer and its invasive treatment is a distressing life experience for the child and his family. Providing informational support is an essential part of community care, and defining parent's burden is an important part of this goal. However, providing such information can be particularly challenging in Arab countries where beliefs, traditions, religion, and socioeconomic factors influence parents' needs and their priorities of needs. This article presents a review of these specificities among Arab families. Implications of health-care providers are also discussed.

  20. Intervention Research with Youths at Elevated Risk for Suicide: Meeting the Ethical and Regulatory Challenges of Informed Consent and Assent

    Science.gov (United States)

    King, Cheryl A.; Kramer, Anne C.

    2008-01-01

    Intervention research with youths at elevated risk for suicidal behavior and suicide--a vulnerable and high risk population--presents investigators with numerous ethical challenges. This report specifically addresses those challenges involving the informed consent and assent process with parents/guardians and youths. The challenges are delineated…

  1. Deaf Adolescents' Learning of Cardiovascular Health Information: Sources and Access Challenges.

    Science.gov (United States)

    Smith, Scott R; Kushalnagar, Poorna; Hauser, Peter C

    2015-10-01

    Deaf individuals have more cardiovascular risks than the general population that are believed to be related to their cardiovascular health knowledge disparities. This phenomenological study describes where 20 deaf sign language-using adolescents from Rochester, New York, many who possess many positive characteristics to support their health literacy, learn cardiovascular health information and their lived experiences accessing health information. The goal is to ultimately use this information to improve the delivery of cardiovascular health education to this population and other deaf adolescents at a higher risk for weak health literacy. Deaf bilingual researchers interviewed deaf adolescents, transcribed and coded the data, and described the findings. Five major sources of cardiovascular health information were identified including family, health education teachers, healthcare providers, printed materials, and informal sources. Despite possessing advantageous characteristics contributing to stronger health literacy, study participants described significant challenges with accessing health information from each source. They also demonstrated inconsistencies in their cardiovascular health knowledge, especially regarding heart attack, stroke, and cholesterol. These findings suggest a great need for additional public funding to research deaf adolescents' informal health-related learning, develop accessible and culturally appropriate health surveys and health education programming, improve interpreter education, and disseminate information through social media. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  2. Deaf Adolescents’ Learning of Cardiovascular Health Information: Sources and Access Challenges

    Science.gov (United States)

    Smith, Scott R.; Kushalnagar, Poorna; Hauser, Peter C.

    2015-01-01

    Deaf individuals have more cardiovascular risks than the general population that are believed to be related to their cardiovascular health knowledge disparities. This phenomenological study describes where 20 deaf sign language-using adolescents from Rochester, New York, many who possess many positive characteristics to support their health literacy, learn cardiovascular health information and their lived experiences accessing health information. The goal is to ultimately use this information to improve the delivery of cardiovascular health education to this population and other deaf adolescents at a higher risk for weak health literacy. Deaf bilingual researchers interviewed deaf adolescents, transcribed and coded the data, and described the findings. Five major sources of cardiovascular health information were identified including family, health education teachers, healthcare providers, printed materials, and informal sources. Despite possessing advantageous characteristics contributing to stronger health literacy, study participants described significant challenges with accessing health information from each source. They also demonstrated inconsistencies in their cardiovascular health knowledge, especially regarding heart attack, stroke, and cholesterol. These findings suggest a great need for additional public funding to research deaf adolescents’ informal health-related learning, develop accessible and culturally appropriate health surveys and health education programming, improve interpreter education, and disseminate information through social media. PMID:26048900

  3. Challenges of Remote Sensing and Spatial Information Education and Technology Transfer in a Fast Developing Industry

    Science.gov (United States)

    Tsai, F.; Chen, L.-C.

    2014-04-01

    During the past decade, Taiwan has experienced an unusual and fast growing in the industry of mapping, remote sensing, spatial information and related markets. A successful space program and dozens of advanced airborne and ground-based remote sensing instruments as well as mobile mapping systems have been implemented and put into operation to support the vast demands of geospatial data acquisition. Moreover, in addition to the government agencies and research institutes, there are also tens of companies in the private sector providing geo-spatial data and services. However, the fast developing industry is also posing a great challenge to the education sector in Taiwan, especially the higher education for geo-spatial information. Facing this fast developing industry, the demands of skilled professionals and new technologies in order to address diversified needs are indubitably high. Consequently, while delighting in the expanding and prospering benefitted from the fast growing industry, how to fulfill these demands has become a challenge for the remote sensing and spatial information disciplines in the higher education institutes in Taiwan. This paper provides a brief insight into the status of the remote sensing and spatial information industry in Taiwan as well as the challenges of the education and technology transfer to support the increasing demands and to ensure the continuous development of the industry. In addition to the report of the current status of the remote sensing and spatial information related courses and programs in the colleges and universities, current and potential threatening issues and possible resolutions are also discussed in different points of view.

  4. #%Applications of artificial intelligence in intelligent manufacturing: a review

    Institute of Scientific and Technical Information of China (English)

    #

    2017-01-01

    #%Based on research into the applications of artificial intelligence (AI) technology in the manufacturing industry in recent years, we analyze the rapid development of core technologies in the new era of 'Internet plus AI', which is triggering a great change in the models, means, and ecosystems of the manufacturing industry, as well as in the development of AI. We then propose new models, means, and forms of intelligent manufacturing, intelligent manufacturing system architecture, and intelligent man-ufacturing technology system, based on the integration of AI technology with information communications, manufacturing, and related product technology. Moreover, from the perspectives of intelligent manufacturing application technology, industry, and application demonstration, the current development in intelligent manufacturing is discussed. Finally, suggestions for the appli-cation of AI in intelligent manufacturing in China are presented.

  5. Addressing the Challenges of Aging: How Elders and Their Care Partners Seek Information.

    Science.gov (United States)

    Walker, Jan; Crotty, Bradley H; O'Brien, Jacqueline; Dierks, Meghan M; Lipsitz, Lewis; Safran, Charles

    2017-10-01

    Elders in retirement communities face many challenges concerning information and communication. We know little about whether or how online technologies help meet their medical and social needs. The objective of this study was to gain insights into how these elders and their families manage health information and communication. Qualitative analysis of 10 focus groups with elders and family members. Participants were 30 elders at least 75 years of age residing in 5 senior living communities in and near Boston, MA, and 23 family members. Elders and families turned first to their personal networks when they needed information or help. They stayed informed about elders' health primarily by talking directly with providers. They used online resources infrequently, including portal access to medical records. They wanted online access to medication lists and visit notes, up-to-date information about local services and social activities, and a way to avoid the overwhelming nature of Internet searches. Elders in senior living communities and their families piece together information primarily from word of mouth communication. In the future, electronic social and collaborative technologies may make information gathering easier. © The Author 2016. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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

    Science.gov (United States)

    2009-09-01

    Terrorism Task Force (JTTF), Joint, Terrorism Analysis Center (JTAC), domestic intelligence 16. PRICE CODE 17. SECURITY CLASSIFICAT ION OF REPORT...on the event and share this with law enforcement partners.  A second case involved a suspicious m ale at a local Starbucks . The m ale was wearing

  7. 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...

  8. Non-Newtonian Aspects of Artificial Intelligence

    Science.gov (United States)

    Zak, Michail

    2016-05-01

    The challenge of this work is to connect physics with the concept of intelligence. By intelligence we understand a capability to move from disorder to order without external resources, i.e., in violation of the second law of thermodynamics. The objective is to find such a mathematical object described by ODE that possesses such a capability. The proposed approach is based upon modification of the Madelung version of the Schrodinger equation by replacing the force following from quantum potential with non-conservative forces that link to the concept of information. A mathematical formalism suggests that a hypothetical intelligent particle, besides the capability to move against the second law of thermodynamics, acquires such properties like self-image, self-awareness, self-supervision, etc. that are typical for Livings. However since this particle being a quantum-classical hybrid acquires non-Newtonian and non-quantum properties, it does not belong to the physics matter as we know it: the modern physics should be complemented with the concept of the information force that represents a bridge to intelligent particle. As a follow-up of the proposed concept, the following question is addressed: can artificial intelligence (AI) system composed only of physical components compete with a human? The answer is proven to be negative if the AI system is based only on simulations, and positive if digital devices are included. It has been demonstrated that there exists such a quantum neural net that performs simulations combined with digital punctuations. The universality of this quantum-classical hybrid is in capability to violate the second law of thermodynamics by moving from disorder to order without external resources. This advanced capability is illustrated by examples. In conclusion, a mathematical machinery of the perception that is the fundamental part of a cognition process as well as intelligence is introduced and discussed.

  9. Roles and challenges of the health information management educator: a national HIM faculty survey.

    Science.gov (United States)

    Houser, Shannon H; Tesch, Linde; Hart-Hester, Susan; Dixon-Lee, Claire

    2009-01-01

    Health information technology initiatives created the framework for a national health information infrastructure that concomitantly fostered a need to build intellectual capacity within our current and future health information management (HIM) work force. Results from the 2008 HIM Educator Survey are discussed. Developed for voluntary electronic participation, the survey comprised a series of questions about educators' professional interests and responsibilities. Summary data from the 402 respondents are provided and highlight areas such as academic rank, teaching status, salary range, levels of interest in various issues, and use of virtual learning tools. Data from this survey provide insights into the concerns and challenges many HIM educators face in today's training institutions and suggest implications for future directions in work force training and professional development within the HIM field.

  10. Intelligent monitoring, control, and security of critical infrastructure systems

    CERN Document Server

    Polycarpou, Marios

    2015-01-01

    This book describes the challenges that critical infrastructure systems face, and presents state of the art solutions to address them. How can we design intelligent systems or intelligent agents that can make appropriate real-time decisions in the management of such large-scale, complex systems? What are the primary challenges for critical infrastructure systems? The book also provides readers with the relevant information to recognize how important infrastructures are, and their role in connection with a society’s economy, security and prosperity. It goes on to describe state-of-the-art solutions to address these points, including new methodologies and instrumentation tools (e.g. embedded software and intelligent algorithms) for transforming and optimizing target infrastructures. The book is the most comprehensive resource to date for professionals in both the private and public sectors, while also offering an essential guide for students and researchers in the areas of modeling and analysis of critical in...

  11. 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...

  12. Challenges of the expansive use of Building Information Modeling (BIM in construction projects

    Directory of Open Access Journals (Sweden)

    Hannele Kerosuo

    2015-06-01

    Full Text Available Building information modeling (BIM is an emerging modeling technology which challenges existing work procedures and practices in the construction industry. In this article we study the challenges, problems and potential expansions of BIM as a tool in the design, construction and operation of buildings. For this purpose the interfaces between different parties are examined in Finnish construction projects. The methodological approach of the study is cultural-historical activity theory, according to which a new artifact becomes a mediating instrument when the participatory subjects reconfigure the entire activity. The implementation of BIM is now spreading from the design activity to other phases of the construction projects, but its use is still limited in the projects' other three interfaces. BIM is an evolving set of software developed for various purposes which is locally 'combined' to fit the circumstances and capabilities of the stakeholders of the construction process.

  13. The Enterprise 2.0 Concept: Challenges on Data and Information Security

    Science.gov (United States)

    Silva, Ana; Moreira, Fernando; Varajão, João

    The Web 2.0 wave has "hit" businesses all over the world, with companies taking advantage of the 2.0 concept and new applications stimulating collaboration between employees, and also with external partners (suppliers, contractors, universities, R&D organizations and others). However, the use of Web 2.0 applications inside organizations has created additional security challenges, especially regarding data and information security. Companies need to be aware of these risks when deploying the 2.0 concept and take a proactive approach on security. In this paper are identified and discussed some of the challenges and risks of the use of Web 2.0 tools, namely when it comes to securing companies' intellectual property.

  14. Intelligence Naturelle et Intelligence Artificielle

    OpenAIRE

    Dubois, Daniel

    2011-01-01

    Cet article présente une approche systémique du concept d’intelligence naturelle en ayant pour objectif de créer une intelligence artificielle. Ainsi, l’intelligence naturelle, humaine et animale non-humaine, est une fonction composée de facultés permettant de connaître et de comprendre. De plus, l'intelligence naturelle reste indissociable de la structure, à savoir les organes du cerveau et du corps. La tentation est grande de doter les systèmes informatiques d’une intelligence artificielle ...

  15. Data use and information creation: challenges for marine scientists and for managers.

    Science.gov (United States)

    Hiscock, Keith; Elliott, Michael; Laffoley, Dan; Rogers, Stuart

    2003-05-01

    In the coastal waters of European countries and in the offshore waters of the north-east Atlantic, there is an increasing need for scientists to meet challenging objectives, such as to identify meaningful measures of 'quality', and to recommend 'indicators' to underpin implementation of directives, conventions, statutes and other more informal national and international initiatives. Those indicators may relate to particular species or habitats, to changes in physical and chemical characteristics, and even to the use to which the system is put. The problems to be overcome are difficult, but new and developing approaches will make a significant contribution. The approaches include: criteria to identify 'sensitivity' and 'importance', structures to organise information and electronic information resources to access data. The real challenge is to make the results of the various scientific initiatives relevant to and understandable by a wide range of customers with similar overlapping requirements, and thus make a genuine contribution to protecting the marine environment. Above and beyond that is the need for scientists to drive the agenda to enable real and lasting progress to be made towards ecosystem-based management of our seas and a proper consideration of what 'sustainability' may mean in the marine environment and how we utilise its resources.

  16. The clinical communication and information challenges associated with the psychosexual aspects of prostate cancer treatment.

    Science.gov (United States)

    Speer, Susan A; Tucker, Samantha R; McPhillips, Rebecca; Peters, Sarah

    2017-07-01

    Prostate cancer and its treatment have significant sexual side effects that necessitate timely patient information and open communication with healthcare professionals. However, very little is known about men's experiences of talking to clinicians about the psychosexual difficulties associated with the disease. This study aims to advance understanding of men's perceptions of the communication and information challenges associated with the psychosexual aspects of prostate cancer and its treatment. Between October 2013 and April 2014, semi-structured interviews were conducted with 21 men from the UK who had been treated for prostate cancer. Interview transcripts were analysed using thematic analysis. Three themes describe the communication challenges men face: (1) It can be too soon to talk about sex; (2) the psychology of sex is missing; (3) communication is not individually tailored. Clinicians might usefully (1) consider and discuss with patients how their psychosexual communication needs and information processing abilities may fluctuate across the cancer timeline; (2) initiate discussions about the consequences of treatment that extend beyond biological and mechanical aspects to include emotional and relational factors; (3) tailor communication to the dynamic mix of attributes that shape men's individual psychosexual needs, including their relationship status, sexual orientation, sexual motivations and values. Skills-based training in communication and psychosexual awareness may facilitate the proactive and permissive stance clinicians need to discuss sexual side effects with a heterogeneous group of patients. Copyright © 2017 Elsevier Ltd. All rights reserved.

  17. Data use and information creation: challenges for marine scientists and for managers

    International Nuclear Information System (INIS)

    Hiscock, Keith; Elliott, Michael; Laffoley, Dan; Rogers, Stuart

    2003-01-01

    In the coastal waters of European countries and in the offshore waters of the north-east Atlantic, there is an increasing need for scientists to meet challenging objectives, such as to identify meaningful measures of 'quality', and to recommend 'indicators' to underpin implementation of directives, conventions, statutes and other more informal national and international initiatives. Those indicators may relate to particular species or habitats, to changes in physical and chemical characteristics, and even to the use to which the system is put. The problems to be overcome are difficult, but new and developing approaches will make a significant contribution. The approaches include: criteria to identify 'sensitivity' and 'importance', structures to organise information and electronic information resources to access data. The real challenge is to make the results of the various scientific initiatives relevant to and understandable by a wide range of customers with similar overlapping requirements, and thus make a genuine contribution to protecting the marine environment. Above and beyond that is the need for scientists to drive the agenda to enable real and lasting progress to be made towards ecosystem-based management of our seas and a proper consideration of what 'sustainability' may mean in the marine environment and how we utilise its resources

  18. Trends in telemedicine utilizing artificial intelligence

    Science.gov (United States)

    Pacis, Danica Mitch M.; Subido, Edwin D. C.; Bugtai, Nilo T.

    2018-02-01

    With the growth and popularity of the utilization of artificial intelligence (AI) in several fields and industries, studies in the field of medicine have begun to implement its capabilities in handling and analyzing data to telemedicine. With the challenges in the implementation of telemedicine, there has been a need to expand its capabilities and improve procedures to be specialized to solve specific problems. The versatility and flexibility of both AI and telemedicine gave the endless possibilities for development and these can be seen in the literature reviewed in this paper. The trends in the development of the utilization of this technology can be classified in to four: patient monitoring, healthcare information technology, intelligent assistance diagnosis, and information analysis collaboration. Each trend will be discussed and presented with examples of recent literature and the problems they aim to address. Related references will also be tabulated and categorized to see the future and potential of this current trend in telemedicine.

  19. Intelligence and treaty ratification

    International Nuclear Information System (INIS)

    Sojka, G.L.

    1990-01-01

    What did the intelligence community and the Intelligence Committee di poorly in regard to the treaty ratification process for arms control? We failed to solve the compartmentalization problem/ This is a second-order problem, and, in general, analysts try to be very open; but there are problems nevertheless. There are very few, if any, people within the intelligence community who are cleared for everything relevant to our monitoring capability emdash short of probably the Director of Central Intelligence and the president emdash and this is a major problem. The formal monitoring estimates are drawn up by individuals who do not have access to all the information to make the monitoring judgements. This paper reports that the intelligence community did not present a formal document on either Soviet incentives of disincentives to cheat or on the possibility of cheating scenarios, and that was a mistake. However, the intelligence community was very responsive in producing those types of estimates, and, ultimately, the evidence behind them in response to questions. Nevertheless, the author thinks the intelligence community would do well to address this issue up front before a treaty is submitted to the Senate for advice and consent

  20. Loose-Lipped Mobile Device Intelligent Personal Assistants: A Discussion of Information Gleaned from Siri on Locked iOS Devices.

    Science.gov (United States)

    Horsman, Graeme

    2018-04-23

    The forensic analysis of mobile handsets is becoming a more prominent factor in many criminal investigations. Despite such devices frequently storing relevant evidential content to support an investigation, accessing this information is becoming an increasingly difficult task due to enhanced effective security features. Where access to a device's resident data is not possible via traditional mobile forensic methods, in some cases it may still be possible to extract user information via queries made to an installed intelligent personal assistant. This article presents an evaluation of the information which is retrievable from Apple's Siri when interacted with on a locked iOS device running iOS 11.2.5 (the latest at the time of testing). The testing of verbal commands designed to elicit a response from Siri demonstrate the ability to recover call log, SMS, Contacts, Apple Maps, Calendar, and device information which may support any further investigation. © 2018 American Academy of Forensic Sciences.

  1. Investigating the Challenges and Opportunities in Home Care to Facilitate Effective Information Technology Adoption.

    Science.gov (United States)

    Koru, Güneş; Alhuwail, Dari; Topaz, Maxim; Norcio, Anthony F; Mills, Mary Etta

    2016-01-01

    As home care utilization increases, information technology (IT) becomes a critical tool for providing quality home care. However, most home health agencies (HHAs) in the United States are in a position to adopt and leverage IT solutions in budget-constrained settings, where it is crucial to address important and pressing challenges and opportunities for achieving effectiveness in IT adoption. (1) Explore HHAs' challenges and opportunities related to delivering home care as well as performing administrative functions and conducting business, (2) learn about current IT implementation levels and activities in home care, and (3) make recommendations to facilitate efforts and initiatives designed for adopting IT in home care effectively. Semistructured interviews were conducted to elicit rich contextual information from the participants recruited from 13 local HHAs in one of the states in the United States. Established systems analysis techniques were used to ask questions during the interviews. Framework, a qualitative research method, was used to analyze the qualitative data obtained from the interviews. Coordinating clinical and administrative workflows was an important challenge. Inadequate access to patients' medical history and difficulties with medication reconciliation detracted from the quality of care. Hiring, training, scheduling, and retaining qualified personnel constituted another important challenge. Training and educating patients, caregivers, and families hold important opportunities for improving the quality of care. All except one HHA adopted electronic health records (EHR) but many continued to struggle considerably in their day-to-day functions. Health information exchange (HIE) seems to be the most needed technology. Telehealth solutions were perceived to be promising but their added value and financial viability in the long run were questioned. The recommendations for effective IT adoption include keeping a quality improvement focus, keeping a

  2. RSIC [Radiation Shielding Information Center] after 25 years: Challenges and opportunities

    International Nuclear Information System (INIS)

    Roussin, R.W.; Maskewitz, B.F.; Trubey, D.K.

    1988-01-01

    The Radiation Shielding Information Center (RSIC) observed its 25th year in operation in 1987. During that time numerous changes have occurred in the government programs that sponsor RSIC and in the radiation transport community which it serves. The continued need for RSIC is evident from the steady volume of requests and interactions with the user community. It is a continual challenge to adjust and adapt our operation to respond to the demands placed on RSIC by sponsors and users. Cooperation between sponsors, users, and the RSIC staff is the key to keeping RSIC as the focus of activities in the international radiation transport community. 7 refs

  3. Challenges and Opportunities with Empowering Baby Boomers for Personal Health Information Management Using Consumer Health Information Technologies: an Ecological Perspective.

    Science.gov (United States)

    LeRouge, Cynthia M; Tao, Donghua; Ohs, Jennifer; Lach, Helen W; Jupka, Keri; Wray, Ricardo

    2014-01-01

    "Baby Boomers" (adults born between the years of 1946 and 1964) make up the largest segment of the population in many countries, including the United States (about 78 million Americans) [1]. As Baby Boomers reach retirement age and beyond, many will have increasing medical needs and thus demand more health care resources that will challenge the healthcare system. Baby Boomers will likely accelerate the movement toward patient self-management and prevention efforts. Consumer Health Information Technologies (CHIT) hold promise for empowering health consumers to take an active role in health maintenance and disease management, and thus, have the potential to address Baby Boomers' health needs. Such innovations require changes in health care practice and processes that take into account Baby Boomers' personal health needs, preferences, health culture, and abilities to use these technologies. Without foundational knowledge of barriers and opportunities, Baby Boomers may not realize the potential of these innovations for improving self-management of health and health outcomes. However, research to date has not adequately explored the degree to which Baby Boomers are ready to embrace consumer health information technology and how their unique subcultures affect adoption and diffusion. This position paper describes an ecological conceptual framework for understanding and studying CHIT aimed at satisfying the personal health needs of Baby Boomers. We explore existing literature to provide a detailed depiction of our proposed conceptual framework, which focuses characteristics influencing Baby Boomers and their Personal Health Information Management (PHIM) and potential information problems. Using our ecological framework as a backdrop, we provide insight and implications for future research based on literature and underlying theories represented in our model.

  4. Complexity Intelligence and Cultural Coaching:

    Directory of Open Access Journals (Sweden)

    Jan Inglis

    2005-06-01

    Full Text Available In this article, we present the term complexity intelligence as a useful moniker to describe the reasoning ability, emotional capacity and social cognition necessary to meet the challenges of our prevailing life conditions. We suggest that, as a society and as individuals, we develop complexity intelligence as we navigate the gap between our current capacities and the capacities needed to respond to the next stage of complex challenges in our lives. We further suggest that it is possible to stimulate and support the emergence of complexity intelligence in a society, but we need a new form of social change agent - a cultural coach, to midwife its emergence.

  5. Structural equation modeling in the genetically informative study of the covariation of intelligence, working memory and planning

    Directory of Open Access Journals (Sweden)

    Voronin I.

    2016-01-01

    Full Text Available Structural equation modelling (SEM has become an important tool in behaviour genetic research. The application of SEM for multivariate twin analysis allows revealing the structure of genetic and environmental factors underlying individual differences in human traits. We outline the framework of twin method and SEM, describe SEM implementation of a multivariate twin model and provide an example of a multivariate twin study. The study included 901 adolescent twin pairs from Russia. We measured general cognitive ability and characteristics of working memory and planning. The individual differences in working memory and planning were explained mostly by person-specific environment. The variability of intelligence is related to genes, family environment, and person specific environment. Moderate and weak associations between intelligence, working memory, and planning were entirely explained by shared environmental effects.

  6. Challenges in Albania for improving Labor Market Information System and Labor Market Governance

    Directory of Open Access Journals (Sweden)

    Neshat Zeneli

    2017-07-01

    Full Text Available Labour Market Policy of the Republic of Albania in terms of design (preparation, case identification, formulation, and approval, programming and budgeting, implementation, monitoring and evaluation has a short experience (1995-ongoing. The influence and presence of hierarchy model is very high beside the support of different programs and projects through bilateral and EU programs. Still there are a lot of key issues to be addressed. The most important issues to be addressed in this paper are evidence based related to: • The Availability of Labor Market Information and its structure on national, regional and local level in Albania and how much this information is used for -policy making and –monitoring/evaluation in terms of input, output, outcome and impact. • Mode of the governance of the labor market in Albania and challenges to pass from the hierarchy to market and network governance. The main aim of this paper/article is to do a complete and deep analysis of the actual situation of labor market information system and labor market governance in Albania, and to propose conclusions and recommendations that will improve both labor market information system and the labor market governance from hierarchy to market and network governance, because good and standardized labor information system can help towards right policy decisions and good governance of LM policy means more employment, more stability, more social inclusion in the society.

  7. Using Emotional Intelligence in Personalized Adaptation

    NARCIS (Netherlands)

    Damjanovic, Violeta; Kravcik, Milos

    2007-01-01

    Damjanovic, V. & Kravcik, M. (2007). Using Emotional Intelligence in Personalized Adaptation. In V. Sugumaran (Ed.), Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications (pp. 1716-1742). IGI Publishing.

  8. Information Mining Technologies to Enable Discovery of Actionable Intelligence to Facilitate Maritime Situational Awareness: I-MINE

    Science.gov (United States)

    2013-01-01

    website). Data mining tools are in-house code developed in Python, C++ and Java . • NGA The National Geospatial-Intelligence Agency (NGA) performs data...as PostgreSQL (with PostGIS), MySQL , Microsoft SQL Server, SQLite, etc. using the appropriate JDBC driver. 14 The documentation and ease to learn are...written in Java that is able to perform various types of regressions, classi- fications, and other data mining tasks. There is also a commercial version

  9. Reviewing the current state of machine learning for artificial intelligence with regards to the use of contextual information

    OpenAIRE

    Kinch, Martin W.; Melis, Wim J.C.; Keates, Simeon

    2017-01-01

    This paper will consider the current state of Machine Learning for Artificial Intelligence, more specifically for applications, such as: Speech Recognition, Game Playing and Image Processing. The artificial world tends to make limited use of context in comparison to what currently happens in human life, while it would benefit from improvements in this area. Additionally, the process of transferring knowledge between application domains is another important area where artificial system can imp...

  10. Outsmarting IQ: The Emerging Science of Learnable Intelligence.

    Science.gov (United States)

    Perkins, David

    Pychologists, educators, and others have challenged the idea of a fixed IQ. This book uses recent research and earlier discoveries to argue that intelligence is not genetically set. Noting that the idea of learnable intelligence reflects the belief that intelligence can be taught, the book outlines a theory of learnable intelligence, including…

  11. Privacy and Anonymity in the Information Society – Challenges for the European Union

    Directory of Open Access Journals (Sweden)

    Ioannis A. Tsoukalas

    2011-01-01

    Full Text Available Electronic information is challenging traditional views on property and privacy. The explosion of digital data, driven by novel web applications, social networking, and mobile devices makes data security and the protection of privacy increasingly difficult. Furthermore, biometric data and radiofrequency identification applications enable correlations that are able to trace our cultural, behavioral, and emotional states. The concept of privacy in the digital realm is transformed and emerges as one of the biggest risks facing today's Information Society. In this context, the European Union (EU policy-making procedures strive to adapt to the pace of technological advancement. The EU needs to improve the existing legal frameworks for privacy and data protection. It needs to work towards a “privacy by education” approach for the empowerment of “privacy-literate” European digital citizens.

  12. Issues and challenges of information fusion in contested environments: panel results

    Science.gov (United States)

    Blasch, Erik; Kadar, Ivan; Chong, Chee; Jones, Eric K.; Tierno, Jorge E.; Fenstermacher, Laurie; Gorman, John D.; Levchuk, Georgiy

    2015-05-01

    With the plethora of information, there are many aspects to contested environments such as the protection of information, network privacy, and restricted observational and entry access. In this paper, we review and contrast the perspectives of challenges and opportunities for future developments in contested environments. The ability to operate in a contested environment would aid societal operations for highly congested areas with limited bandwidth such as transportation, the lack of communication and observations after a natural disaster, or planning for situations in which freedom of movement is restricted. Different perspectives were presented, but common themes included (1) Domain: targets and sensors, (2) network: communications, control, and social networks, and (3) user: human interaction and analytics. The paper serves as a summary and organization of the panel discussion as towards future concerns for research needs in contested environments.

  13. Energy Logic (EL): a novel fusion engine of multi-modality multi-agent data/information fusion for intelligent surveillance systems

    Science.gov (United States)

    Rababaah, Haroun; Shirkhodaie, Amir

    2009-04-01

    The rapidly advancing hardware technology, smart sensors and sensor networks are advancing environment sensing. One major potential of this technology is Large-Scale Surveillance Systems (LS3) especially for, homeland security, battlefield intelligence, facility guarding and other civilian applications. The efficient and effective deployment of LS3 requires addressing number of aspects impacting the scalability of such systems. The scalability factors are related to: computation and memory utilization efficiency, communication bandwidth utilization, network topology (e.g., centralized, ad-hoc, hierarchical or hybrid), network communication protocol and data routing schemes; and local and global data/information fusion scheme for situational awareness. Although, many models have been proposed to address one aspect or another of these issues but, few have addressed the need for a multi-modality multi-agent data/information fusion that has characteristics satisfying the requirements of current and future intelligent sensors and sensor networks. In this paper, we have presented a novel scalable fusion engine for multi-modality multi-agent information fusion for LS3. The new fusion engine is based on a concept we call: Energy Logic. Experimental results of this work as compared to a Fuzzy logic model strongly supported the validity of the new model and inspired future directions for different levels of fusion and different applications.

  14. ECONOMIC INTELLIGENCE - THEORETICAL AND PRACTICAL ASPECTS

    Directory of Open Access Journals (Sweden)

    VIRGIL - ION POPOVICI

    2014-12-01

    Full Text Available Economic Intelligence (EI may be a solution in knowledge management as involves collecting, evaluating, processing, analysis and dissemination of economic data within organizations. The ultimate goal of economic intelligence (EI is to take advantage of this opportunity to develop and improve methods for identifying relevant information sources, analysis of information collected and manipulation, to give the user all the necessary decisions. Scope of the Economic Intelligence focused on information available outside the organization, covering wide areas from technology to market or legal issues. Economic Intelligence (EI is closely related to other approaches to information management, and knowledge management and business intelligence, excelling in the use of software tools.

  15. 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

  16. Medical education for rural areas: Opportunities and challenges for information and communications technologies

    Directory of Open Access Journals (Sweden)

    Sargeant Joan

    2005-01-01

    Full Text Available Resources in medical education are not evenly distributed and access to education can be more problematic in rural areas. Similar to telemedicine′s positive influence on health care access, advances in information and communications technologies (ICTs increase opportunities for medical education. This paper provides a descriptive overview of the use of ICTs in medical education and suggests a conceptual model for reviewing ICT use in medical education, describes specific ICTs and educational interventions, and discusses opportunities and challenges of ICT use, especially in rural areas. The literature review included technology and medical education, 1996-2005. Using an educational model as a framework, the uses of ICTs in medical education are, very generally, to link learners, instructors, specific course materials and/or information resources in various ways. ICTs range from the simple (telephone, audio-conferencing to the sophisticated (virtual environments, learning repositories and can increase access to medical education and enhance learning and collaboration for learners at all levels and for institutions. While ICTs are being used and offer further potential for medical education enhancement, challenges exist, especially for rural areas. These are technological (e.g., overcoming barriers like cost, maintenance, access to telecommunications infrastructure, educational (using ICTs to best meet learners′ educational priorities, integrating ICTs into educational programs and social (sensitivity to remote needs, resources, cultures. Finally, there is need for more rigorous research to more clearly identify advantages and disadvantages of specific uses of ICTs in medical education.

  17. The mixed reality of things: emerging challenges for human-information interaction

    Science.gov (United States)

    Spicer, Ryan P.; Russell, Stephen M.; Rosenberg, Evan Suma

    2017-05-01

    Virtual and mixed reality technology has advanced tremendously over the past several years. This nascent medium has the potential to transform how people communicate over distance, train for unfamiliar tasks, operate in challenging environments, and how they visualize, interact, and make decisions based on complex data. At the same time, the marketplace has experienced a proliferation of network-connected devices and generalized sensors that are becoming increasingly accessible and ubiquitous. As the "Internet of Things" expands to encompass a predicted 50 billion connected devices by 2020, the volume and complexity of information generated in pervasive and virtualized environments will continue to grow exponentially. The convergence of these trends demands a theoretically grounded research agenda that can address emerging challenges for human-information interaction (HII). Virtual and mixed reality environments can provide controlled settings where HII phenomena can be observed and measured, new theories developed, and novel algorithms and interaction techniques evaluated. In this paper, we describe the intersection of pervasive computing with virtual and mixed reality, identify current research gaps and opportunities to advance the fundamental understanding of HII, and discuss implications for the design and development of cyber-human systems for both military and civilian use.

  18. The challenges of teaching geographical information systems integrated into the management of environment and natural resources

    International Nuclear Information System (INIS)

    Escobar, John; Betancur, Teresita; Palacio, Carlos

    2008-01-01

    The Geographic Information Systems, GIS, have the potential to become tools and methodologies for the solution of practical problems that involve complex spatial analyses, like the associated with natural resources and environmental management areas. The university, with its postgraduate programs, can help with the social adaptation processes for this new technology and can contribute to achieve the success sooner and with more effectiveness. To do so, three main challenges must be reached in the users of this technology: first, a spatial thinking second, skills to design and to make use of this instrument as supporting in environmental and natural resources analyses and finally, the identification of strategies to use this technology in projects and corporative surroundings. The Antioquia University in its Engineering Faculty (at first, in agreement with the Education Faculty)developed a Specialization in Environment and Geoinformatic. In this, the curriculum is worked in three moments (one for each challenge): first, a moment to building a common language and to adopting conceptual and technical instruments? second, a moment to put together instruments and methods and finally, a moment to make the practical application of the environmental management supported in the geo information spatial systems. This article gives account of this institutional experience.

  19. Collective Intelligence in Crises

    DEFF Research Database (Denmark)

    Büscher, Monika; Liegl, Michael; Thomas, Vanessa

    2014-01-01

    New practices of social media use in emergency response seem to enable broader `situation awareness' and new forms of crisis management. The scale and speed of innovation in this field engenders disruptive innovation or a reordering of social, political, economic practices of emergency response....... By examining these dynamics with the concept of social collective intelligence, important opportunities and challenges can be examined. In this chapter we focus on socio-technical aspects of social collective intelligence in crises to discuss positive and negative frictions and avenues for innovation...

  20. Addressing the Challenges in Tonsillectomy Research to Inform Health Care Policy: A Review.

    Science.gov (United States)

    Mandavia, Rishi; Schilder, Anne G M; Dimitriadis, Panagiotis A; Mossialos, Elias

    2017-09-01

    Eighty-five percent of investment in medical research has been wasted, with lack of effect on clinical practice and policy. There is increasing effort to improve the likelihood of research being used to influence clinical practice and policy. Tonsillectomy is one of the most common otorhinolaryngologic surgical procedures, and its frequency, cost, and morbidity create a clear need for evidence-based guidelines and policy. The first systematic review on tonsillectomy was conducted 40 years ago and highlighted the lack of definitive evidence for the procedure. Since that study, the body of evidence has still not been able to sufficiently inform policy. This review provides an overview of the key challenges in research to inform tonsillectomy policy and recommendations to help bridge the evidence-policy gap. The challenges in using research to inform policy can be summarized as 4 main themes: (1) non-policy-focused evidence and lack of available evidence, (2) quality of evidence, (3) communication of research findings, and (4) coordinating time frames. Researchers and decision makers should be aware of the limitations of research designs and conflicts of interest that can undermine policy decisions. Researchers must work with decision makers and patients throughout the research process to identify areas of unmet need and political priority, align research and policy time frames, and disseminate research findings. Incentives for researchers should be reorganized to promote dissemination of findings. It is important to consider why evidence gaps in tonsillectomy research have not been addressed during the past 40 years despite considerable investment in time and resources. These findings and recommendations will help produce research that is more responsive to policy gaps and more likely to result in policy changes.