WorldWideScience

Sample records for large systems knowledge

  1. Large-scale computer networks and the future of legal knowledge-based systems

    NARCIS (Netherlands)

    Leenes, R.E.; Svensson, Jorgen S.; Hage, J.C.; Bench-Capon, T.J.M.; Cohen, M.J.; van den Herik, H.J.

    1995-01-01

    In this paper we investigate the relation between legal knowledge-based systems and large-scale computer networks such as the Internet. On the one hand, researchers of legal knowledge-based systems have claimed huge possibilities, but despite the efforts over the last twenty years, the number of

  2. Processing large sensor data sets for safeguards : the knowledge generation system.

    Energy Technology Data Exchange (ETDEWEB)

    Thomas, Maikel A.; Smartt, Heidi Anne; Matthews, Robert F.

    2012-04-01

    Modern nuclear facilities, such as reprocessing plants, present inspectors with significant challenges due in part to the sheer amount of equipment that must be safeguarded. The Sandia-developed and patented Knowledge Generation system was designed to automatically analyze large amounts of safeguards data to identify anomalous events of interest by comparing sensor readings with those expected from a process of interest and operator declarations. This paper describes a demonstration of the Knowledge Generation system using simulated accountability tank sensor data to represent part of a reprocessing plant. The demonstration indicated that Knowledge Generation has the potential to address several problems critical to the future of safeguards. It could be extended to facilitate remote inspections and trigger random inspections. Knowledge Generation could analyze data to establish trust hierarchies, to facilitate safeguards use of operator-owned sensors.

  3. A Russian Keyword Spotting System Based on Large Vocabulary Continuous Speech Recognition and Linguistic Knowledge

    Directory of Open Access Journals (Sweden)

    Valentin Smirnov

    2016-01-01

    Full Text Available The paper describes the key concepts of a word spotting system for Russian based on large vocabulary continuous speech recognition. Key algorithms and system settings are described, including the pronunciation variation algorithm, and the experimental results on the real-life telecom data are provided. The description of system architecture and the user interface is provided. The system is based on CMU Sphinx open-source speech recognition platform and on the linguistic models and algorithms developed by Speech Drive LLC. The effective combination of baseline statistic methods, real-world training data, and the intensive use of linguistic knowledge led to a quality result applicable to industrial use.

  4. Experiments in Knowledge Refinement for a Large Rule-Based System

    Science.gov (United States)

    1993-08-01

    empirical analysis to refine expert system knowledge bases. Aritificial Intelligence , 22:23-48, 1984. *! ...The Addison- Weslev series in artificial intelligence . Addison-Weslev. Reading, Massachusetts. 1981. Cooke, 1991: ttoger M. Cooke. Experts in...ment for classification systems. Artificial Intelligence , 35:197-226, 1988. 14 Overall, we believe that it will be possible to build a heuristic system

  5. From Collective Knowledge to Intelligence : Pre-Requirements Analysis of Large and Complex Systems

    NARCIS (Netherlands)

    Liang, Peng; Avgeriou, Paris; He, Keqing; Xu, Lai

    2010-01-01

    Requirements engineering is essentially a social collaborative activity in which involved stakeholders have to closely work together to communicate, elicit, negotiate, define, confirm, and finally come up with the requirements for the system to be implemented or upgraded. In the development of large

  6. Engineering youth service system infrastructure: Hawaii's continued efforts at large-scale implementation through knowledge management strategies.

    Science.gov (United States)

    Nakamura, Brad J; Mueller, Charles W; Higa-McMillan, Charmaine; Okamura, Kelsie H; Chang, Jaime P; Slavin, Lesley; Shimabukuro, Scott

    2014-01-01

    Hawaii's Child and Adolescent Mental Health Division provides a unique illustration of a youth public mental health system with a long and successful history of large-scale quality improvement initiatives. Many advances are linked to flexibly organizing and applying knowledge gained from the scientific literature and move beyond installing a limited number of brand-named treatment approaches that might be directly relevant only to a small handful of system youth. This article takes a knowledge-to-action perspective and outlines five knowledge management strategies currently under way in Hawaii. Each strategy represents one component of a larger coordinated effort at engineering a service system focused on delivering both brand-named treatment approaches and complimentary strategies informed by the evidence base. The five knowledge management examples are (a) a set of modular-based professional training activities for currently practicing therapists, (b) an outreach initiative for supporting youth evidence-based practices training at Hawaii's mental health-related professional programs, (c) an effort to increase consumer knowledge of and demand for youth evidence-based practices, (d) a practice and progress agency performance feedback system, and (e) a sampling of system-level research studies focused on understanding treatment as usual. We end by outlining a small set of lessons learned and a longer term vision for embedding these efforts into the system's infrastructure.

  7. Primary Care Clinicians Attitudes and Knowledge of Pharmacogenetics in a Large, Multi-state, Healthcare System

    Directory of Open Access Journals (Sweden)

    Megan Olander

    2018-04-01

    Full Text Available   Background: Considerable progress has been made in the way of pharmacogenetic research and the development of clinical recommendations; however, its implementation into clinical practice has been slower than anticipated. We sought to better understand its lack of clinical uptake within primary care. Aim: The primary objective of this survey was to ascertain primary care clinicians’ perceptions of pharmacogenetic use and implementation in an integrated health system of metropolitan and rural settings across several states. Methods: Primary care clinicians (including MDs, DOs, NPs, and PAs were invited to participate in a survey via email. Questions about pharmacogenetics knowledge and perceptions were presented to assess current understanding and usage of pharmacogenetics in practice. Results: The rate of response for the survey was 17%. Of the 90 respondents, 58% were female, 69% were MDs/DOs, 20% were NPs, and 11% were PAs. Fifty-eight percent of respondents received their clinical degree in or after 2000. Ninety percent of respondents noted that they were uncomfortable ordering a pharmacogenetics test, with 76% stating they were uncomfortable applying the results of a pharmacogenetic test. Notably, 78% of respondents were interested in having pharmacogenetic testing available through Medication Therapy Management (MTM services, although PAs were significantly less interested as compared to NPs and MD/DOs. Ninety-five percent of respondents were interested in a clinical decision support tool relevant to pharmacogenetic results. Conclusions: As a whole, prescribing clinicians in primary care clinics are uncomfortable in the ordering, interpreting, and applying pharmacogenetic results to individual patients. However, favorable attitudes towards providing pharmacogenetic testing through existing MTM clinics provides the opportunity for pharmacists to advance existing practices. Conflict of Interest: We declare no conflicts of interest or

  8. DOD Space Systems: Additional Knowledge Would Better Support Decisions about Disaggregating Large Satellites

    Science.gov (United States)

    2014-10-01

    considering new approaches. According to Air Force Space Command, U.S. space systems face intentional and unintentional threats , which have increased...life cycle costs • Demand for more satellites may stimulate new entrants and competition to lower acquisition costs. • Smaller, less complex...Fiscal constraints and growing threats to space systems have led DOD to consider alternatives for acquiring space-based capabilities, including

  9. The tourism knowledge system

    DEFF Research Database (Denmark)

    Tribe, John; Liburd, Janne J.

    2016-01-01

    This conceptual study addresses the significant need for every mature field of knowledge to understand itself. It builds upon previous studies of the epistemology and ontology of tourism by critiquing, synthesising, discarding, re-ordering and adding material. Its contribution is an original...... reconceptualisation of the structure, systems, processes and outcomes that define the field of tourism. These are explained by the creation of a model and detailed analysis that examines knowledge space, the knowledge force-field, knowledge networks, four key domains in knowledge creation and their interrelationships....... Finally the model is used to examine some of the key challenges and consequences that the knowledge system reveals for tourism and its research....

  10. Managing Distributed Knowledge Systems

    DEFF Research Database (Denmark)

    Sørensen, Brian Vejrum; Gelbuda, Modestas

    2005-01-01

    . This paper contributes to the research on organizations as distributed knowledge systems by addressing two weaknesses of the social practice literature. Firstly, it downplays the importance of formal structure and organizational design and intervention efforts by key organizational members. Secondly, it does......The article argues that the growth of de novo knowledge-based organization depends on managing and coordinating increasingly growing and, therefore, distributed knowledge. Moreover, the growth in knowledge is often accompanied by an increasing organizational complexity, which is a result...... of integrating new people, building new units and adding activities to the existing organization. It is argued that knowledge is not a stable capacity that belongs to any actor alone, but that it is rather an ongoing social accomplishment, which is created and recreated as actors engage in mutual activities...

  11. Knowledgeability of Copyright Law among Librarians and Library Paraprofessionals Employed in Adult Services at a Large Public Library System.

    Science.gov (United States)

    Lavelle, Bridget M.

    Since public libraries contain copyrighted works in the form of print, electronic or audiovisual sources, librarians and library paraprofessionals need to possess sufficient knowledge of United States copyright law to meet the information needs of patrons successfully and legally. A literature review revealed that minimal works address this topic.…

  12. Building Sustainable Knowledge Systems

    International Nuclear Information System (INIS)

    Gowin, Peter J.

    2013-01-01

    Considerations: • An integrated framework must fully respect and honour: • intellecual property rights and commercial interests; • national regulation, priorities and views. • Note: ''managing knowledge'' can be ''sharing'' or ''restricting''. • The framework should be: • available to stakeholders; • non-prescriptive; • flexible: sharing, restricting, generating, transmitting and preserving knowledge

  13. Knowledge society training system

    International Nuclear Information System (INIS)

    Ceclan, Mihail; Ionescu, Tudor Basarab; Ceclan, Rodica Elena; Tatar, Florin; Tiron, Cristian; Georgescu, Luisa Maria

    2005-01-01

    The paper aims to present the results of the Cernavoda NPP Training Department modernization project. In order to achieve a knowledge society training system, in the first stage of the project a Computer Based Training (CBT) or E-Learning software platform and several CBT objects/courses have been implemented. The conceived solution is called CBTCenter which is a complete E-Learning and CBT system, offering a variety of teaching and learning tools and services to its users. CBT and/or E-Learning always mean two things: a software platform and content authoring. Ideally, a software platform should be able to import any type of flat documentation and integrate it into a structured database which keeps track of pedagogically meaningful information like the student's progress in studying materials, tests and quizzes, grades, etc. At the same time, the materials, the study and the tests have to be organized around certain objectives which play the role of guidelines during the entire educational activity. An example of such a course which has been successfully integrated into CBTCenter is Labour safety - code name BB-001. The implementation of the CBT technology at NPP Cernavoda Training Department has brought several advantages: the technology improves overall communication between all individuals which take part in the educational process; the classroom space problem has been considerably reduced; students can access training materials from their own desk using the NPP intranet; the logistics problems will decrease with the conversion of more and more conventional courses and materials into CBT objects/courses. (authors)

  14. KESS: Knowledge Engineering Support System

    OpenAIRE

    Said, Mohamed Ben; Dougherty, Nini; Anderson, Curtis; Altman, Stanley J.; Bouhaddou, Omar; Warner, Homer R.

    1987-01-01

    KESS (Knowledge Engineering Support System) is a relational information management system created at the University of Utah to document each step in the building of four expert knowledge bases. In weekly knowledge engineering sessions, groups of experts propose decision making criteria and examine information sources in the process of creating HELP knowledge frames. KESS utilizes many-to-many links with multiple files and central link files to track the different kinds of information generate...

  15. Knowledge Sharing Strategies for Large Complex Building Projects.

    Directory of Open Access Journals (Sweden)

    Esra Bektas

    2013-06-01

    complex nature of such projects has often been reported as a potential barrier to investing knowledge sharing. However, this analysis highlighted that the while the location is unique, the underlying challenges are typically not, and although projects are per definition temporary, these large, complex projects often last for a decade. Investing in knowledge sharing is therefore possible and worth the effort, and with respect to complexity more needed than those involved are aware of. In the second part of the empirical data analysis, the knowledge sharing strategies inuse in the two cases were examined. The first case represents a people-oriented approach using collocated open plan offices for the entire design team; the second case represents a tool-oriented approach drawing on a Building Information Model (BIM. The co-located offices provided the physical setting for knowledge sharing, but it not planned as a conscious strategy and so was mainly regarded as sharing the same office floor and was not used to its full potential. Physical boundaries remained between subteams and interaction was restricted to the level of project managers. In the second case, the implementation of a BIM represented a bottom-up and emergent strategy that embraced digital technologies for specific problems. The analysis showed that there was limited understanding about requirements and implication of changes in the design processes. Introduced through a bottom-up emergent strategy without commitment from all project partners, it was not possible to utilize the potential benefits of a BIM system for the overall design team. The analysis also revealed that what practitioners referred to as a BIM, was not a true BIM implementation, thereby indicating that digital concepts are still not completely clear in practice. This comparative analysis of two cases led to several conclusions: • Irrespective of whether a tool or people-oriented approach is used, there will be emerging strategies with which

  16. Information systems for knowledge management

    CERN Document Server

    Saad, Inès; Gargouri, Faiez

    2014-01-01

    More and more organizations are becoming aware of the importance of tacit and explicit knowledge owned by their members which corresponds to their experience and accumulated knowledge about the firm activities. However, considering the large amount of knowledge created and used in the organization, especially with the evolution of information and communications technologies, the firm must first determine the specific knowledge on which it is necessary to focus. Creating activities to enhance identification, preservation, and use of this knowledge is a powerful mean to improve the level of econ

  17. Use of a knowledge synthesis by decision makers and planners to facilitate system level integration in a large Canadian provincial health authority

    Directory of Open Access Journals (Sweden)

    Esther Suter

    2011-03-01

    Full Text Available Purpose: The study is an examination of how a knowledge synthesis, conducted to fill an information gap identified by decision makers and planners responsible for integrating health systems in a western Canadian health authority, is being used within that organisation. Methods: Purposive sampling and snowball technique were used to identify 13 participants who were interviewed about how they are using the knowledge synthesis for health services planning and decision-making. Results: The knowledge synthesis is used by those involved in the strategic direction of the provincial healthcare organisation and those tasked with the operationalization of integration at the provincial or local level. Both groups most frequently use the ten key principles for integration, followed by the sections on integration processes, strategies and models. The key principles facilitate discussion on priority areas to be considered and provide a reference point for a desired future state. Perceived information gaps relate to a lack of detail on "how to" strategies, tools and processes that would lead to successful integration. Discussion and conclusion: The current project demonstrates that decision makers and planners will effectively use a knowledge synthesis if it is timely, relevant and accessible. The information can be applied at strategic and operations levels. Attention needs to be paid to include more information on implementation strategies and processes. Including knowledge users in identifying research questions will increase information uptake.

  18. Use of a knowledge synthesis by decision makers and planners to facilitate system level integration in a large Canadian provincial health authority

    Directory of Open Access Journals (Sweden)

    Esther Suter

    2011-03-01

    Full Text Available Purpose: The study is an examination of how a knowledge synthesis, conducted to fill an information gap identified by decision makers and planners responsible for integrating health systems in a western Canadian health authority, is being used within that organisation.Methods: Purposive sampling and snowball technique were used to identify 13 participants who were interviewed about how they are using the knowledge synthesis for health services planning and decision-making.Results: The knowledge synthesis is used by those involved in the strategic direction of the provincial healthcare organisation and those tasked with the operationalization of integration at the provincial or local level. Both groups most frequently use the ten key principles for integration, followed by the sections on integration processes, strategies and models. The key principles facilitate discussion on priority areas to be considered and provide a reference point for a desired future state. Perceived information gaps relate to a lack of detail on "how to" strategies, tools and processes that would lead to successful integration.Discussion and conclusion: The current project demonstrates that decision makers and planners will effectively use a knowledge synthesis if it is timely, relevant and accessible. The information can be applied at strategic and operations levels. Attention needs to be paid to include more information on implementation strategies and processes. Including knowledge users in identifying research questions will increase information uptake.

  19. An Integrated Knowledge Management System

    Directory of Open Access Journals (Sweden)

    Vasile Mazilescu

    2014-11-01

    Full Text Available The aim of this paper is to present a Knowledge Management System based on Fuzzy Logic (FLKMS, a real-time expert system to meet the challenges of the dynamic environment. The main feature of our integrated shell FLKMS is that it models and integrates the temporal relationships between the dynamic of the evolution of an economic process with some fuzzy inferential methods, using a knowledge model for control, embedded within the expert system’s operational knowledge base.

  20. Building Community Knowledge Systems

    DEFF Research Database (Denmark)

    Bansler, Jørgen P.; Havn, Erling C.

    2003-01-01

    managers. We followed the system from its introduction in early 1997 until it was abandoned in the beginning of 2000. We focused on the way the system was introduced in the organization, how it changed, and how the intended group of users received (and eventually rejected) the system. Based on our...

  1. Knowledge management systems in practice

    DEFF Research Database (Denmark)

    Tørning, Kristian

    which has the strategy of working with knowledge in the form of "best practices" meant to boost performance. The thesis explores the situation that workers are in, since they are meant to share and develop "best practices" knowledge in a portal based Knowledge Management System (KMS). The study...... indentifies a set of problems that prevents knowledge sharing from taking place to the degree to which management was specifically aiming. It was explored whether these problems could, to some degree, be mitigated by employing persuasive design, which is a new stance towards design where the aim...... is to directly seek to change the user's behavior, i.e., persuading more knowledge sharing. The main contribution is an indication of an anomaly with regards to the strategic approach towards knowledge management, where knowledge sharing is seen as an effort by which companies can gain a competitive advantage...

  2. Large Superconducting Magnet Systems

    CERN Document Server

    Védrine, P.

    2014-07-17

    The increase of energy in accelerators over the past decades has led to the design of superconducting magnets for both accelerators and the associated detectors. The use of Nb−Ti superconducting materials allows an increase in the dipole field by up to 10 T compared with the maximum field of 2 T in a conventional magnet. The field bending of the particles in the detectors and generated by the magnets can also be increased. New materials, such as Nb$_{3}$Sn and high temperature superconductor (HTS) conductors, can open the way to higher fields, in the range 13–20 T. The latest generations of fusion machines producing hot plasma also use large superconducting magnet systems.

  3. Large Superconducting Magnet Systems

    Energy Technology Data Exchange (ETDEWEB)

    Védrine, P [Saclay (France)

    2014-07-01

    The increase of energy in accelerators over the past decades has led to the design of superconducting magnets for both accelerators and the associated detectors. The use of Nb−Ti superconducting materials allows an increase in the dipole field by up to 10 T compared with the maximum field of 2 T in a conventional magnet. The field bending of the particles in the detectors and generated by the magnets can also be increased. New materials, such as Nb3Sn and high temperature superconductor (HTS) conductors, can open the way to higher fields, in the range 13–20 T. The latest generations of fusion machines producing hot plasma also use large superconducting magnet systems.

  4. Fault management and systems knowledge

    Science.gov (United States)

    2016-12-01

    Pilots are asked to manage faults during flight operations. This leads to the training question of the type and depth of system knowledge required to respond to these faults. Based on discussions with multiple airline operators, there is agreement th...

  5. Innovation system and knowledge-intensive entrepreneurship

    DEFF Research Database (Denmark)

    Timmermans, Bram

    2011-01-01

    The goal of this deliverable is to investigate the properties and the nature of knowledge-intensive entrepreneurship as a largely distributed phenomenon at firm, sector and national levels in Denmark. Following the guidelines previously developed in the Deliverable 2.2.1 “Innovation systems...... and knowledge-intensive entrepreneurship: Analytical framework and guidelines for case study research” I will investigate the interplay between national innovation systems and knowledge- intensive entrepreneurship by focusing on two main sectors: machine tools, and computer and related activities....

  6. Knowledge Management for Large Scale Condition Based Maintenance

    Data.gov (United States)

    National Aeronautics and Space Administration — This presentation will review the use of knowledge management in the development and support of Condition Based Maintenance (CBM) systems for complex systems with...

  7. INFORMATION SYSTEM QUALITY CONTROL KNOWLEDGE

    Directory of Open Access Journals (Sweden)

    Vladimir Nikolaevich Babeshko

    2017-02-01

    Full Text Available The development of the educational system is associated with the need to control the quality of educational services. Quality control knowledge is an important part of the scientific process. The penetration of computers into all areas of activities changing approaches and technologies that previously they were used.

  8. Knowledge management: processes and systems | Igbinovia ...

    African Journals Online (AJOL)

    Knowledge management: processes and systems. ... Information Impact: Journal of Information and Knowledge Management ... observation, role reversal technique, and discussion forums as well as the forms of knowledge representation to include report writing, database management system and institutional repositories.

  9. Knowledge representation and knowledge base design for operator advisor system

    International Nuclear Information System (INIS)

    Hangos, K.M.; Sziano, T.; Tapolcai, L.

    1990-01-01

    The problems of knowledge representation, knowledge base handling and design has been described for an Operator Advisor System in the Paks Nuclear Power Plant. The Operator Advisor System is to be implemented as a part of the 5th and 6th unit. The knowledge of the Operator Advisor system is described by a few elementary knowledge items (diagnostic event functions, fault graph, action trees), weighted directed graphs have been found as their common structure. List-type and relational representation of these graphs have been used for the on-line and off-line part of the knowledge base respectively. A uniform data base design and handling has been proposed which consists of a design system, a knowledge base editor and a knowledge base compiler

  10. Collaborative filtering to improve navigation of large radiology knowledge resources.

    Science.gov (United States)

    Kahn, Charles E

    2005-06-01

    Collaborative filtering is a knowledge-discovery technique that can help guide readers to items of potential interest based on the experience of prior users. This study sought to determine the impact of collaborative filtering on navigation of a large, Web-based radiology knowledge resource. Collaborative filtering was applied to a collection of 1,168 radiology hypertext documents available via the Internet. An item-based collaborative filtering algorithm identified each document's six most closely related documents based on 248,304 page views in an 18-day period. Documents were amended to include links to their related documents, and use was analyzed over the next 5 days. The mean number of documents viewed per visit increased from 1.57 to 1.74 (P Collaborative filtering can increase a radiology information resource's utilization and can improve its usefulness and ease of navigation. The technique holds promise for improving navigation of large Internet-based radiology knowledge resources.

  11. Column-oriented datalog materialization for large knowledge graphs

    NARCIS (Netherlands)

    Urbani, Jacopo; Jacobs, Ceriel; Krötzsch, Markus

    2016-01-01

    The evaluation of Datalog rules over large Knowledge Graphs (KGs) is essential for many applications. In this paper, we present a new method of materializing Datalog inferences, which combines a column-based memory layout with novel optimization methods that avoid redundant inferences at runtime.

  12. Deep knowledge and knowledge compilation for dynamic systems

    International Nuclear Information System (INIS)

    Mizoguchi, Riichiro

    1994-01-01

    Expert systems are viewed as knowledge-based systems which efficiently solve real-world problems based on the expertise contained in their knowledge bases elicited from domain experts. Although such expert systems that depends on heuristics of domain experts have contributed to the current success, they are known to be brittle and hard to build. This paper is concerned with research on model-based diagnosis and knowledge compilation for dynamic systems conducted by the author's group to overcome these difficulties. Firstly, we summarize the advantages and shortcomings of expert systems. Secondly, deep knowledge and knowledge compilation is discussed. Then, latest results of our research on model-based diagnosis is overviewed. The future direction of knowledge base technology research is also discussed. (author)

  13. Knowledge based systems for intelligent robotics

    Science.gov (United States)

    Rajaram, N. S.

    1982-01-01

    It is pointed out that the construction of large space platforms, such as space stations, has to be carried out in the outer space environment. As it is extremely expensive to support human workers in space for large periods, the only feasible solution appears to be related to the development and deployment of highly capable robots for most of the tasks. Robots for space applications will have to possess characteristics which are very different from those needed by robots in industry. The present investigation is concerned with the needs of space robotics and the technologies which can be of assistance to meet these needs, giving particular attention to knowledge bases. 'Intelligent' robots are required for the solution of arising problems. The collection of facts and rules needed for accomplishing such solutions form the 'knowledge base' of the system.

  14. CRESST Human Performance Knowledge Mapping System

    National Research Council Canada - National Science Library

    Chung, Gregory K; Michiuye, Joanne K; Brill, David G; Sinha, Ravi; Saadat, Farzad; de Vries, Linda F; Delacruz, Girlie C; Bewley, William L; Baker, Eva L

    2002-01-01

    .... While several tools exist that are available to construct knowledge maps, CRESST's knowledge mapping tool is one of the only systems designed specifically for assessment purposes, the only system...

  15. Validation Of Critical Knowledge-Based Systems

    Science.gov (United States)

    Duke, Eugene L.

    1992-01-01

    Report discusses approach to verification and validation of knowledge-based systems. Also known as "expert systems". Concerned mainly with development of methodologies for verification of knowledge-based systems critical to flight-research systems; e.g., fault-tolerant control systems for advanced aircraft. Subject matter also has relevance to knowledge-based systems controlling medical life-support equipment or commuter railroad systems.

  16. Optimization theory for large systems

    CERN Document Server

    Lasdon, Leon S

    2002-01-01

    Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures. Much data appear as charts and graphs and will be highly valuable to readers in selecting a method and estimating computer time and cost in problem-solving. Initial chapter on linear and nonlinear programming presents all necessary background for subjects covered in rest of book. Second chapter illustrates how large-scale mathematical programs arise from real-world problems. Appendixes. List of Symbols.

  17. Knowledge Management for a Large Service-Oriented Corporation

    OpenAIRE

    Wong, Sylvia C; Crowder, Richard M; Shadbolt, Nigel R; Wills, Gary B

    2006-01-01

    The design and maintenance of complex engineering systems such as a jet engine generates a significant amount of documentation. Increasingly, aerospace manufacturers are shifting their focus from selling products to providing services. As a result, when designing new products, engineers must increasingly consider the engine's complete life-cycle as part of the design process. To identify possible areas of concern, engineers must obtain knowledge gained from the entire life of similar engines....

  18. Training system of knowledge society

    International Nuclear Information System (INIS)

    Ceclan, M.; Ionescu, T.B.; Ceclan, Rodica Elena; Tatar, Florin; Tiron, C.; Georgescu, Luisa Maria

    2005-01-01

    Full text: The paper aims at presenting the results of Cernavoda NPP Training Department modernization project. In order to achieve a training system of knowledge society in the first stage of the project a Computer Based Training (CBT) or E-Learning platform and several CBT objects/courses were worked out. The conceived E-Learning solution is called CBT Center and it is a complete system offering a variety of teaching and learning services to its users. CBT and/or E-Learning always mean two things: a software platform and content authoring. Ideally, a software platform should be able to import any type of flat documentation and integrate it into a structured database which keeps track of pedagogically meaningful information like the student's progress in studying materials, tests and quiz, marks, etc. At the same time, the materials, the study and the tests have to be organized around certain objectives which play the role of guidelines during the entire educational activity. An example of such a course which has been successfully integrated into CBT Center is the 'Thermodynamics'. CBT technology implementation at NPP Cernavoda Training Department has brought several advantages: the technology improves overall communication between all individuals which are part of the educational process; there is no space problem any more; students can access training materials from their own desk using the NPP intranet; the logistics problem will decrease, while more and more disciplines will be transformed as CBT objects. (authors)

  19. Knowledge diffusion within a large conservation organization and beyond

    Science.gov (United States)

    Montambault, Jensen; Burford, Kyle P.; Gopalakrishna, Trisha; Masuda, Yuta J.; Reddy, Sheila M. W.; Torphy, Kaitlin; Salcedo, Andrea I.

    2018-01-01

    The spread and uptake of new ideas (diffusion of innovations) is critical for organizations to adapt over time, but there is little evidence of how this happens within organizations and to their broader community. To address this, we analyzed how individuals accessed information about a recent science innovation at a large, international, biodiversity conservation non-profit–The Nature Conservancy–and then traced the flow of how this information was shared within the organization and externally, drawing on an exceptionally data-rich environment. We used surveys and tracking of individual internet activity to understand mechanisms for early-stage diffusion (knowledge seeking and sharing) following the integration of social science and evidence principles into the institutional planning framework: Conservation by Design (CbD 2.0). Communications sent to all employees effectively catalyzed 56.4% to exhibit knowledge seeking behavior, measured by individual downloads from and visits to a restricted-access site. Individuals who self-reported through a survey that they shared information about CbD 2.0 internally were more likely to have both received and sought out information about the framework. Such individuals tended to hold positions within a higher job grade, were more likely to train others on CbD as part of their job, and to enroll in other online professional development offerings. Communication strategies targeting external audiences did not appear to influence information seeking behavior. Staff who engaged in internal knowledge sharing and adopting “evidence” practices from CbD 2.0 were more likely to have shared the document externally. We found a negative correlation with external sharing behavior and in-person trainings. Our findings suggest repeated, direct email communications aimed at wide audiences can effectively promote diffusion of new ideas. We also found a wide range of employee characteristics and circumstances to be associated with

  20. Knowledge diffusion within a large conservation organization and beyond.

    Science.gov (United States)

    Fisher, Jonathan R B; Montambault, Jensen; Burford, Kyle P; Gopalakrishna, Trisha; Masuda, Yuta J; Reddy, Sheila M W; Torphy, Kaitlin; Salcedo, Andrea I

    2018-01-01

    The spread and uptake of new ideas (diffusion of innovations) is critical for organizations to adapt over time, but there is little evidence of how this happens within organizations and to their broader community. To address this, we analyzed how individuals accessed information about a recent science innovation at a large, international, biodiversity conservation non-profit-The Nature Conservancy-and then traced the flow of how this information was shared within the organization and externally, drawing on an exceptionally data-rich environment. We used surveys and tracking of individual internet activity to understand mechanisms for early-stage diffusion (knowledge seeking and sharing) following the integration of social science and evidence principles into the institutional planning framework: Conservation by Design (CbD 2.0). Communications sent to all employees effectively catalyzed 56.4% to exhibit knowledge seeking behavior, measured by individual downloads from and visits to a restricted-access site. Individuals who self-reported through a survey that they shared information about CbD 2.0 internally were more likely to have both received and sought out information about the framework. Such individuals tended to hold positions within a higher job grade, were more likely to train others on CbD as part of their job, and to enroll in other online professional development offerings. Communication strategies targeting external audiences did not appear to influence information seeking behavior. Staff who engaged in internal knowledge sharing and adopting "evidence" practices from CbD 2.0 were more likely to have shared the document externally. We found a negative correlation with external sharing behavior and in-person trainings. Our findings suggest repeated, direct email communications aimed at wide audiences can effectively promote diffusion of new ideas. We also found a wide range of employee characteristics and circumstances to be associated with knowledge

  1. Emancipatory Indigenous Knowledge Systems: implications for ...

    African Journals Online (AJOL)

    Erna Kinsey

    Faculty of Education, University of South Africa, P.O. Box 392, Unisa, 0003 South Africa ... Indigenous Knowledge also termed Traditional, Endogenous or Classical .... its civilisation, carries both its indigenous and modern knowledge systems.

  2. Knowledge discovery: Extracting usable information from large amounts of data

    International Nuclear Information System (INIS)

    Whiteson, R.

    1998-01-01

    The threat of nuclear weapons proliferation is a problem of world wide concern. Safeguards are the key to nuclear nonproliferation and data is the key to safeguards. The safeguards community has access to a huge and steadily growing volume of data. The advantages of this data rich environment are obvious, there is a great deal of information which can be utilized. The challenge is to effectively apply proven and developing technologies to find and extract usable information from that data. That information must then be assessed and evaluated to produce the knowledge needed for crucial decision making. Efficient and effective analysis of safeguards data will depend on utilizing technologies to interpret the large, heterogeneous data sets that are available from diverse sources. With an order-of-magnitude increase in the amount of data from a wide variety of technical, textual, and historical sources there is a vital need to apply advanced computer technologies to support all-source analysis. There are techniques of data warehousing, data mining, and data analysis that can provide analysts with tools that will expedite their extracting useable information from the huge amounts of data to which they have access. Computerized tools can aid analysts by integrating heterogeneous data, evaluating diverse data streams, automating retrieval of database information, prioritizing inputs, reconciling conflicting data, doing preliminary interpretations, discovering patterns or trends in data, and automating some of the simpler prescreening tasks that are time consuming and tedious. Thus knowledge discovery technologies can provide a foundation of support for the analyst. Rather than spending time sifting through often irrelevant information, analysts could use their specialized skills in a focused, productive fashion. This would allow them to make their analytical judgments with more confidence and spend more of their time doing what they do best

  3. MSFC Propulsion Systems Department Knowledge Management Project

    Science.gov (United States)

    Caraccioli, Paul A.

    2007-01-01

    This slide presentation reviews the Knowledge Management (KM) project of the Propulsion Systems Department at Marshall Space Flight Center. KM is needed to support knowledge capture, preservation and to support an information sharing culture. The presentation includes the strategic plan for the KM initiative, the system requirements, the technology description, the User Interface and custom features, and a search demonstration.

  4. Knowledge Management System Model for Learning Organisations

    Science.gov (United States)

    Amin, Yousif; Monamad, Roshayu

    2017-01-01

    Based on the literature of knowledge management (KM), this paper reports on the progress of developing a new knowledge management system (KMS) model with components architecture that are distributed over the widely-recognised socio-technical system (STS) aspects to guide developers for selecting the most applicable components to support their KM…

  5. KNOWLEDGE AND XML BASED CAPP SYSTEM

    Institute of Scientific and Technical Information of China (English)

    ZHANG Shijie; SONG Laigang

    2006-01-01

    In order to enhance the intelligent level of system and improve the interactivity with other systems, a knowledge and XML based computer aided process planning (CAPP) system is implemented. It includes user management, bill of materials(BOM) management, knowledge based process planning, knowledge management and database maintaining sub-systems. This kind of nesting knowledge representation method the system provided can represent complicated arithmetic and logical relationship to deal with process planning tasks. With the representation and manipulation of XML based technological file, the system solves some important problems in web environment such as information interactive efficiency and refreshing of web page. The CAPP system is written in ASP VBScript, JavaScript, Visual C++ languages and Oracle database. At present, the CAPP system is running in Shenyang Machine Tools. The functions of it meet the requirements of enterprise production.

  6. CRESST Human Performance Knowledge Mapping System

    National Research Council Canada - National Science Library

    Chung, Gregory K; Michiuye, Joanne K; Brill, David G; Sinha, Ravi; Saadat, Farzad; de Vries, Linda F; Delacruz, Girlie C; Bewley, William L; Baker, Eva L

    2002-01-01

    .... This report presents a review of knowledge mapping scoring methods and current online mapping systems, and the overall design, functionality, scoring, usability testing, and authoring capabilities of the CRESST system...

  7. Knowledge Modelling for a Hotel Recommendation System

    OpenAIRE

    B. A. Gobin; R. K. Subramanian

    2007-01-01

    Knowledge modelling, a main activity for the development of Knowledge Based Systems, have no set standards and are mostly done in an ad hoc way. There is a lack of support for the transition from abstract level to implementation. In this paper, a methodology for the development of the knowledge model, which is inspired by both Software and Knowledge Engineering, is proposed. Use of UML which is the de-facto standard for modelling in the software engineering arena is explored for knowledge mod...

  8. Current Hitachi knowledge engineering systems: an overview

    Energy Technology Data Exchange (ETDEWEB)

    Masui, S; Maeda, A; Masuishi, T [Hitachi, Ltd., Tokyo (Japan)

    1992-02-01

    In order to bring the knowledge engineering technology up to the practical phase, Hitachi has provided several knowledge engineering system products, including expert system building tools, knowledge acquisition tools, and many kinds of stand-alone and build-in expert systems in both the business and process control fields. In this review article, an overview of Hitachi{prime}s recent knowledge systems is described, which includes a trend analysis on recent market recognition. In addition, to introduce the Hitachi{prime}s current activities, a new product, a user interface building tool, and a new method of tuning fuzzy membership functions using a neuro-computing algorithm are also described. Furthermore, it is pointed out that not only practical tools and methodologies, but also a practical development team, including a planning section, a cooperating expert, a user section, and experienced knowledge engineers, is needed to achieve practical expert systems. 20 refs., 10 figs., 1 tab.

  9. Systems engineering for very large systems

    Science.gov (United States)

    Lewkowicz, Paul E.

    Very large integrated systems have always posed special problems for engineers. Whether they are power generation systems, computer networks or space vehicles, whenever there are multiple interfaces, complex technologies or just demanding customers, the challenges are unique. 'Systems engineering' has evolved as a discipline in order to meet these challenges by providing a structured, top-down design and development methodology for the engineer. This paper attempts to define the general class of problems requiring the complete systems engineering treatment and to show how systems engineering can be utilized to improve customer satisfaction and profit ability. Specifically, this work will focus on a design methodology for the largest of systems, not necessarily in terms of physical size, but in terms of complexity and interconnectivity.

  10. KNOWLEDGE MANAGEMENT AND INFORMATION SYSTEMS IN ORGANIZATIONS

    Directory of Open Access Journals (Sweden)

    Karla Torres

    2015-11-01

    Full Text Available At present, knowledge and information are considered vital resources for organizations, so some of them have realized that the creation, transfer and knowledge management are essential for success. This paper aims to demonstrate knowledge management as a transformative power for organizations using information systems; addressing the study from the interpretive perspective with the use of hermeneutical method in theory, documentary context. It is concluded that people living in a changing characteristic environment of the globalized world companies and motivated by the same company changes have accelerated in them the generation and acquisition of new knowledge and innovative capabilities to achieve competitive positions with the help of systems of information.

  11. Building and Using Large Common Sense Knowledge Bases

    National Research Council Canada - National Science Library

    Forbus, Kenneth D

    2001-01-01

    .... We developed techniques that enabled realistic-sized situations to be compared, for automatically extracting and extending cases dynamically based on task constraints from a general purpose knowledge...

  12. A knowledge based system for plant diagnosis

    International Nuclear Information System (INIS)

    Motoda, H.; Yamada, N.; Yoshida, K.

    1984-01-01

    A knowledge based system for plant diagnosis is proposed in which both event-oriented and function-oriented knowledge are used. For the proposed system to be of practical use, these two types of knowledge are represented by mutually nested four frames, i.e. the component, causality, criteriality, and simulator frames, and production rules. The system provides fast inference capability for use as both a production system and a formal reasoning system, with uncertainty of knowledge taken into account in the former. Event-oriented knowledge is used in both diagnosis and guidance and function-oriented knowledge, in diagnosis only. The inference capability required is forward chaining in the former and resolution in the latter. The causality frame guides in the use of event-oriented knowledge, whereas the criteriality frame does so for function-oriented knowledge. Feedback nature of the plant requires the best first search algorithm that uses histories in the resolution process. The inference program is written in Lisp and the plant simulator and the process I/O control programs in Fortran. Fast data transfer between these two languages is realized by enhancing the memory management capability of Lisp to control the numerical data in the global memory. Simulation applications to a BWR plant demonstrated its diagnostic capability

  13. Knowledge-based diagnosis for aerospace systems

    Science.gov (United States)

    Atkinson, David J.

    1988-01-01

    The need for automated diagnosis in aerospace systems and the approach of using knowledge-based systems are examined. Research issues in knowledge-based diagnosis which are important for aerospace applications are treated along with a review of recent relevant research developments in Artificial Intelligence. The design and operation of some existing knowledge-based diagnosis systems are described. The systems described and compared include the LES expert system for liquid oxygen loading at NASA Kennedy Space Center, the FAITH diagnosis system developed at the Jet Propulsion Laboratory, the PES procedural expert system developed at SRI International, the CSRL approach developed at Ohio State University, the StarPlan system developed by Ford Aerospace, the IDM integrated diagnostic model, and the DRAPhys diagnostic system developed at NASA Langley Research Center.

  14. Current trends on knowledge-based systems

    CERN Document Server

    Valencia-García, Rafael

    2017-01-01

    This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others. Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc. As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used...

  15. Distributed, cooperating knowledge-based systems

    Science.gov (United States)

    Truszkowski, Walt

    1991-01-01

    Some current research in the development and application of distributed, cooperating knowledge-based systems technology is addressed. The focus of the current research is the spacecraft ground operations environment. The underlying hypothesis is that, because of the increasing size, complexity, and cost of planned systems, conventional procedural approaches to the architecture of automated systems will give way to a more comprehensive knowledge-based approach. A hallmark of these future systems will be the integration of multiple knowledge-based agents which understand the operational goals of the system and cooperate with each other and the humans in the loop to attain the goals. The current work includes the development of a reference model for knowledge-base management, the development of a formal model of cooperating knowledge-based agents, the use of testbed for prototyping and evaluating various knowledge-based concepts, and beginning work on the establishment of an object-oriented model of an intelligent end-to-end (spacecraft to user) system. An introductory discussion of these activities is presented, the major concepts and principles being investigated are highlighted, and their potential use in other application domains is indicated.

  16. A knowledge continuity management program for the energy, infrastructure and knowledge systems center, Sandia National Laboratories.

    Energy Technology Data Exchange (ETDEWEB)

    Menicucci, David F.

    2006-07-01

    A growing recognition exists in companies worldwide that, when employees leave, they take with them valuable knowledge that is difficult and expensive to recreate. The concern is now particularly acute as the large ''baby boomer'' generation is reaching retirement age. A new field of science, Knowledge Continuity Management (KCM), is designed to capture and catalog the acquired knowledge and wisdom from experience of these employees before they leave. The KCM concept is in the final stages of being adopted by the Energy, Infrastructure, and Knowledge Systems Center and a program is being applied that should produce significant annual cost savings. This report discusses how the Center can use KCM to mitigate knowledge loss from employee departures, including a concise description of a proposed plan tailored to the Center's specific needs and resources.

  17. Network Partitioning Domain Knowledge Multiobjective Application Mapping for Large-Scale Network-on-Chip

    Directory of Open Access Journals (Sweden)

    Yin Zhen Tei

    2014-01-01

    Full Text Available This paper proposes a multiobjective application mapping technique targeted for large-scale network-on-chip (NoC. As the number of intellectual property (IP cores in multiprocessor system-on-chip (MPSoC increases, NoC application mapping to find optimum core-to-topology mapping becomes more challenging. Besides, the conflicting cost and performance trade-off makes multiobjective application mapping techniques even more complex. This paper proposes an application mapping technique that incorporates domain knowledge into genetic algorithm (GA. The initial population of GA is initialized with network partitioning (NP while the crossover operator is guided with knowledge on communication demands. NP reduces the large-scale application mapping complexity and provides GA with a potential mapping search space. The proposed genetic operator is compared with state-of-the-art genetic operators in terms of solution quality. In this work, multiobjective optimization of energy and thermal-balance is considered. Through simulation, knowledge-based initial mapping shows significant improvement in Pareto front compared to random initial mapping that is widely used. The proposed knowledge-based crossover also shows better Pareto front compared to state-of-the-art knowledge-based crossover.

  18. Intrusion Detection Systems with Live Knowledge System

    Science.gov (United States)

    2016-05-31

    people try to reveal sensitive information of Internet users, also called as phishing. Phishing detection has received great attention but there has...node. Figure 3 describes the result of modified nodes from the original RDR rule tree. Red- coloured ‘X’ sign represents the stopping rule, and the...green- coloured boxes describe the refined rule. However, when human knowledge is applied to those incorrectly classified data, not all of the

  19. Survey of Knowledge Representation and Reasoning Systems

    Science.gov (United States)

    2009-07-01

    processing large volumes of unstructured information such as natural language documents, email, audio , images and video [Ferrucci et al. 2006]. Using this...information we hope to obtain improved es- timation and prediction, data-mining, social network analysis, and semantic search and visualisation . Knowledge

  20. Home Environment Service Knowledge Management System

    DEFF Research Database (Denmark)

    Zhang, Jiang; Rossello Busquet, Ana; Soler, José

    2011-01-01

    This paper makes three contributions to assist households to control their home devices in an easy way and to simplify the software installation and configuration processes across multi-vendor environments. First, a Home Environment Service Knowledge Management System is proposed, which is based...... on the knowledge implemented by ontology and uses the inference function of reasoner to find out available software services according to household requests. Second, this paper provides a concrete methodology to exploit and acquire conflict-free information from ontology knowledge by using a reasoner. At last......, a strategy of calculating the sequence of service dependency hierarchy is proposed by this paper....

  1. Estimating the state of large spatio-temporally chaotic systems

    International Nuclear Information System (INIS)

    Ott, E.; Hunt, B.R.; Szunyogh, I.; Zimin, A.V.; Kostelich, E.J.; Corazza, M.; Kalnay, E.; Patil, D.J.; Yorke, J.A.

    2004-01-01

    We consider the estimation of the state of a large spatio-temporally chaotic system from noisy observations and knowledge of a system model. Standard state estimation techniques using the Kalman filter approach are not computationally feasible for systems with very many effective degrees of freedom. We present and test a new technique (called a Local Ensemble Kalman Filter), generally applicable to large spatio-temporally chaotic systems for which correlations between system variables evaluated at different points become small at large separation between the points

  2. Knowledge Mobilisation in the Polish Education System

    Science.gov (United States)

    Fazlagic, Jan; Erkol, Arif

    2015-01-01

    Poland has made substantial progress in improving the quality of its education system in recent years. This paper aims to describe the situation of the Polish education system from a knowledge management perspective and, to some extent, through innovation policies in education. The many challenges, this paper argues, can be tackled only through…

  3. African Traditional Knowledge Systems and Biodiversity Management

    African Journals Online (AJOL)

    There is a link between African Traditional Knowledge Systems and the management of Biodiversity. These have been passed over from one generation to the next through oral tradition. The lack of documentation of these systems of managing biodiversity has led to the existence of a gap between the scientifi cally based ...

  4. Towards Modern Collaborative Knowledge Sharing Systems

    CERN Document Server

    Świrski, Konrad

    2012-01-01

    The development of new technologies still accelerates. As a result the requirement of easy access to high quality information is essential in modern scientific society. We believe that new cloud-based online system will replace the old system of books and magazines in the future. This is mainly because contemporary system of journal and conference publications appears to be outdated, especially in such domains as computer science, because process of publishing of an article takes too much time. In this book a new approach of sharing knowledge is proposed. The main idea behind this new approach is to take advantage of collaboration techniques used in industry to share the knowledge and build teams which work on the same subject at different locations. This will allow to accelerate the exchange of information between scientists and allow to build global teams of researchers who deal with the same scientific subjects. Furthermore, an easy access to structured knowledge will facilitate cross domain cooperation. T...

  5. Management Of Knowledge And System - Evolution Of Knowledge

    Directory of Open Access Journals (Sweden)

    Avishek Choudhury

    2015-08-01

    Full Text Available The study of knowledge is one of the most fundamental and necessary components in todays world. A claim to knowledge should be evaluated to determine whether or not it is knowledge in its real sense. To conduct this sort of evaluation understanding of what knowledge is and how much knowledge is possible is required. This paper provides an overview of the important aspects of knowledge and with the help of epistemology tries to answer the most fundamental questions of what is knowledge Moreover how do we know what we know The paper attempts to show the effect of culture on organizations and how foundational knowledge can help us develop logical decisions in a fluctuating environment. To manage an organization within evolving paradigm knowledge of variation acts as a necessary requirement. As Deming defined management as a prediction a leader must have skills to predict and adapt to its external environment. Most of the time organizations fail to observe the paradigm shift and couldnt adjust to the changing environment. The paper also discusses the effect of diverse culture and their respective interpretation of language. Thus the paper highlights the necessity of understanding human psychology attaining foundational knowledge and ability to validate the knowledge to establish a successful organization.

  6. Measurement system for large motions

    International Nuclear Information System (INIS)

    Noyes, R.; Davies, L.; Kalinowski, J.; Stubbs, T.

    1979-05-01

    The system used to measure the response of geologic media to stress waves generated during and after underground tests performed by the Lawrence Livermore Laboratory (LLL) at the Department of Energy's Nevada Test Site (NTS) is described. Included are descriptions of the system transducers and accelerometers, the procedures used in calibrating and packaging the system at the North Las Vegas Facility of EG and G, Inc., the positioning of equipment during fielding activities at NTS, and the procedures used at LLL's facilities in California to reduce and analyze the data recorded on magnetic tape at NTS during an underground nuclear explosion. In summarizing, the authors give the system high marks, attributing its success to good basic design, careful installation, and rigorous calibration and data analysis techniques applied with good judgement on the part of the instrumentation engineers and data analysts. 10 figures

  7. The representation of knowledge within model-based control systems

    International Nuclear Information System (INIS)

    Weygand, D.P.; Koul, R.

    1987-01-01

    The ability to represent knowledge is often considered essential to build systems with reasoning capabilities. In computer science, a good solution often depends on a good representation. The first step in development of most computer applications is selection of a representation for the input, output, and intermediate results that the program will operate upon. For applications in artificial intelligence, this initial choice of representation is especially important. This is because the possible representational paradigms are diverse and the forcing criteria for the choice are usually not clear in the beginning. Yet, the consequences of an inadequate choice can be devastating in the later state of a project if it is discovered that critical information cannot be encoded within the chosen representational paradigm. Problems arise when designing representational systems to support any kind of Knowledge-Base System, that is a computer system that uses knowledge to perform some task. The general case of knowledge-based systems can be thought of as reasoning agents applying knowledge to achieve goals. Artificial Intelligence (AI) research involves building computer systems to perform tasks of perception and reasoning, as well as storage and retrieval of data. The problem of automatically perceiving large patterns in data is a perceptual task that begins to be important for many expert systems applications. Most of AI research assumes that what needs to be represented is known a priori; an AI researcher's job is just figuring out how to encode the information in the system's data structure and procedures. 10 refs

  8. Knowledge-based information systems in practice

    CERN Document Server

    Jain, Lakhmi; Watada, Junzo; Howlett, Robert

    2015-01-01

    This book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable app...

  9. Learning object repositories as knowledge management systems

    Directory of Open Access Journals (Sweden)

    Demetrios G. Sampson

    2013-06-01

    Full Text Available Over the past years, a number of international initiatives that recognize the importance of sharing and reusing digital educational resources among educational communities through the use of Learning Object Repositories (LORs have emerged. Typically, these initiatives focus on collecting digital educational resources that are offered by their creators for open access and potential reuse. Nevertheless, most of the existing LORs are designed more as digital repositories, rather than as Knowledge Management Systems (KMS. By exploiting KMSs functionalities in LORs would bare the potential to support the organization and sharing of educational communities’ explicit knowledge (depicted in digital educational resources constructed by teachers and/or instructional designers and tacit knowledge (depicted in teachers’ and students’ experiences and interactions of using digital educational resources available in LORs. Within this context, in this paper we study the design and the implementation of fourteen operating LORs from the KMSs’ perspective, so as to identify additional functionalities that can support the management of educational communities’ explicit and tacit knowledge. Thus, we propose a list of essential LORs’ functionalities, which aim to facilitate the organization and sharing of educational communities’ knowledge. Finally, we present the added value of these functionalities by identifying their importance towards addressing the current demands of web-facilitated educational communities, as well as the knowledge management activities that they execute.

  10. Operation of large cryogenic systems

    International Nuclear Information System (INIS)

    Rode, C.H.; Ferry, B.; Fowler, W.B.; Makara, J.; Peterson, T.; Theilacker, J.; Walker, R.

    1985-06-01

    This report is based on the past 12 years of experiments on R and D and operation of the 27 kW Fermilab Tevatron Cryogenic System. In general the comments are applicable for all helium plants larger than 1000W (400 l/hr) and non mass-produced nitrogen plants larger than 50 tons per day. 14 refs., 3 figs., 1 tab

  11. Knowledge management: An abstraction of knowledge base and database management systems

    Science.gov (United States)

    Riedesel, Joel D.

    1990-01-01

    Artificial intelligence application requirements demand powerful representation capabilities as well as efficiency for real-time domains. Many tools exist, the most prevalent being expert systems tools such as ART, KEE, OPS5, and CLIPS. Other tools just emerging from the research environment are truth maintenance systems for representing non-monotonic knowledge, constraint systems, object oriented programming, and qualitative reasoning. Unfortunately, as many knowledge engineers have experienced, simply applying a tool to an application requires a large amount of effort to bend the application to fit. Much work goes into supporting work to make the tool integrate effectively. A Knowledge Management Design System (KNOMAD), is described which is a collection of tools built in layers. The layered architecture provides two major benefits; the ability to flexibly apply only those tools that are necessary for an application, and the ability to keep overhead, and thus inefficiency, to a minimum. KNOMAD is designed to manage many knowledge bases in a distributed environment providing maximum flexibility and expressivity to the knowledge engineer while also providing support for efficiency.

  12. Indilinga: African Journal of Indigenous Knowledge Systems ...

    African Journals Online (AJOL)

    Focus and Scope. Welcome to Indilinga: African Journal of Indigenous Knowledge Systems (IAJIKS). The name Indilinga: stands for the "circular orientation" of indigenous African communities which is exhibited in their material culture and behaviour. The journal has been motivated by the need for a dependable expression ...

  13. Knowledge representation and use. I. Expert systems

    Energy Technology Data Exchange (ETDEWEB)

    Lauriere, J L

    1982-01-01

    Expert systems are designed as aids in human reasoning in various specific areas. Symbolic knowledge manipulation, uncertain and incomplete deduction capabilities, natural communication with humans in non-procedural ways are their essential features. The paper describes their design and several implementations. 105 references.

  14. Knowledge Systems and Natural Resources: Management, Policy ...

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

    2007-10-31

    Oct 31, 2007 ... Knowledge Systems and Natural Resources is a unique collection of case studies from Nepal. ... and students of social and political sciences and natural resource management. ... Nepal and founding Editor of the Journal of Forest and Livelihood. ... Ideas from the global climate change hotspot research.

  15. Value Creation through IT-supported Knowledge Management? The Utilisation of a Knowledge Management System in a Global Consulting Company

    Directory of Open Access Journals (Sweden)

    Karlheinz Kautz

    2003-01-01

    Full Text Available Although many consulting companies have introduced IT-supported knowledge-management systems, and proponents of the literature continue to advocate knowledge management as a key to competitive advantage in consultancies, many knowledge management systems have fallen short of expectation in companies that have adopted them. However, empirical studies regarding the performance implications of these systems are missing. This paper reports such an empirical, explorative study identifying the extent as well as impediments of the utilization of an IT-supported knowledge management system in a large, global consulting company. The main findings are that the majority of the IT users are not familiar with the knowledge management framework of the company; still the knowledge management system is used by 3/4 of all respondents, but mainly to search for general information, much less to participate in competence networks to develop shared knowledge assets. The knowledge management system is not used as the primary repository and communication media for knowledge assets. The limited use is explained by the practitioners as being caused by lack of time and their perception of the system as a slow and poorly structured technical infrastructure. These and other findings are discussed with regard to the current understanding of knowledge management as presented by the literature, and important issues with regard to future research integrating individual, organisational, technical and economical perspectives of knowledge management are raised.

  16. Knowledge-based systems programming for knowledge intensive teaching

    NARCIS (Netherlands)

    Achten, H.H.; Dijkstra, J.; Oxman, R.M.; Colajanni, B.; Pellitteri, G.

    1995-01-01

    Typological design implies extensive knowledge of building types in order to design a building belonging to a building type. It facilitates the design process, which can be considered as a sequence of decisions. The paper gives an outline of a new approach in a course teaching typological knowledge

  17. Knowledge-based systems programming for knowledge intensive teaching

    NARCIS (Netherlands)

    Achten, H.H.; Dijkstra, J.; Oxman, R.M.; Bax, M.F.T.

    1994-01-01

    Typological design implies extensive knowledge of building types in order to design a building belonging to a building type. It facilitates the design process, which can be considered as a sequence of decisions. The paper gives an outline of a new approach in a course teaching typological knowledge

  18. Knowledge-based methods for control systems

    International Nuclear Information System (INIS)

    Larsson, J.E.

    1992-01-01

    This thesis consists of three projects which combine artificial intelligence and control. The first part describes an expert system interface for system identification, using the interactive identification program Idpac. The interface works as an intelligent help system, using the command spy strategy. It contains a multitude of help system ideas. The concept of scripts is introduced as a data structure used to describe the procedural part of the knowledge in the interface. Production rules are used to represent diagnostic knowledge. A small knowledge database of scripts and rules has been developed and an example run is shown. The second part describes an expert system for frequency response analysis. This is one of the oldest and most widely used methods to determine the dynamics of a stable linear system. Though quite simple, it requires knowledge and experience of the user, in order to produce reliable results. The expert system is designed to help the user in performing the analysis. It checks whether the system is linear, finds the frequency and amplitude ranges, verifies the results, and, if errors should occur, tries to give explanation and remedies for them. The third part describes three diagnostic methods for use with industrial processes. They are measurement validation, i.e., consistency checking of sensor and measurement values using any redundancy of instrumentation; alarm analysis, i.e. analysis of multiple alarm situations to find which alarms are directly connected to primary faults and which alarms are consequential effects of the primary ones; and fault diagnosis, i.e., a search for the causes of and remedies for faults. The three methods use multilevel flow models, (MFM), to describe the target process. They have been implemented in the programming tool G2, and successfully tested on two small processes. (164 refs.) (au)

  19. Aiming for knowledge information processing systems

    Energy Technology Data Exchange (ETDEWEB)

    Fuchi, K

    1982-01-01

    The Fifth Generation Computer Project in Japan intends to develop a new generation of computers by extensive research in many areas. This paper discusses many research topics which the Japanese are hoping will lead to a radical new knowledge information processing system. Topics discussed include new computer architecture, programming styles, semantics of programming languages, relational databases, linguistics theory, artificial intelligence, functional images and interference systems.

  20. Large inflated-antenna system

    Science.gov (United States)

    Hinson, W. F.; Keafer, L. S.

    1984-01-01

    It is proposed that for inflatable antenna systems, technology feasibility can be demonstrated and parametric design and scalability (scale factor 10 to 20) can be validated with an experiment using a 16-m-diameter antenna attached to the Shuttle. The antenna configuration consists of a thin film cone and paraboloid held to proper shape by internal pressure and a self-rigidizing torus. The cone and paraboloid would be made using pie-shaped gores with the paraboloid being coated with aluminum to provide reflectivity. The torus would be constructed using an aluminum polyester composite that when inflated would erect to a smooth shell that can withstand loads without internal pressure.

  1. Theories are knowledge organizing systems (KOS)

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2015-01-01

    The notion “theory” is a neglected concept in the field of information science and knowledge organization (KO) as well as generally in philosophy and in many other fields, although there are exceptions from this general neglect (e.g., the so-called “theory theory” in cognitive psychology......-laden. The concept of knowledge organization system (KOS) is briefly introduced and discussed. A theory is a fundamental form of KOS and theories are the point of departure of any KOS. It is generally understood in KO that concepts are the units of KOS, but the theory-dependence of concepts brings theories...

  2. HSTDEK: Developing a methodology for construction of large-scale, multi-use knowledge bases

    Science.gov (United States)

    Freeman, Michael S.

    1987-01-01

    The primary research objectives of the Hubble Space Telescope Design/Engineering Knowledgebase (HSTDEK) are to develop a methodology for constructing and maintaining large scale knowledge bases which can be used to support multiple applications. To insure the validity of its results, this research is being persued in the context of a real world system, the Hubble Space Telescope. The HSTDEK objectives are described in detail. The history and motivation of the project are briefly described. The technical challenges faced by the project are outlined.

  3. Knowledge representation for decision support systems

    International Nuclear Information System (INIS)

    Methlie, L.B.

    1985-01-01

    This book is organized into three sections in accordance with the structure of the conference program. First section contains four major papers which were commissioned by the Programme Committee to set the tone for the conference and to provide a structured source of relevant material from contributing disciplines. The second section contains specific papers submitted to the conference, and concerned with the following topics of specific interest: epistemological issues for decision support systems (DSS), capturing organizational knowledge for DSS, complementarity between human and formal DSS, and representations for adaption. The third section contains the short papers on any topic of relevance to the theme of the conference. It is hoped that the two working conferences organized by WG 8.3 will contribute to the development of a coherent knowledge and understanding of the class of computerized information systems called Decision Support Systems. (Auth.)

  4. Integration, Provenance, and Temporal Queries for Large-Scale Knowledge Bases

    OpenAIRE

    Gao, Shi

    2016-01-01

    Knowledge bases that summarize web information in RDF triples deliver many benefits, including support for natural language question answering and powerful structured queries that extract encyclopedic knowledge via SPARQL. Large scale knowledge bases grow rapidly in terms of scale and significance, and undergo frequent changes in both schema and content. Two critical problems have thus emerged: (i) how to support temporal queries that explore the history of knowledge bases or flash-back to th...

  5. Large thermal protection system panel

    Science.gov (United States)

    Weinberg, David J. (Inventor); Myers, Franklin K. (Inventor); Tran, Tu T. (Inventor)

    2003-01-01

    A protective panel for a reusable launch vehicle provides enhanced moisture protection, simplified maintenance, and increased temperature resistance. The protective panel includes an outer ceramic matrix composite (CMC) panel, and an insulative bag assembly coupled to the outer CMC panel for isolating the launch vehicle from elevated temperatures and moisture. A standoff attachment system attaches the outer CMC panel and the bag assembly to the primary structure of the launch vehicle. The insulative bag assembly includes a foil bag having a first opening shrink fitted to the outer CMC panel such that the first opening and the outer CMC panel form a water tight seal at temperatures below a desired temperature threshold. Fibrous insulation is contained within the foil bag for protecting the launch vehicle from elevated temperatures. The insulative bag assembly further includes a back panel coupled to a second opening of the foil bag such that the fibrous insulation is encapsulated by the back panel, the foil bag, and the outer CMC panel. The use of a CMC material for the outer panel in conjunction with the insulative bag assembly eliminates the need for waterproofing processes, and ultimately allows for more efficient reentry profiles.

  6. NASDA knowledge-based network planning system

    Science.gov (United States)

    Yamaya, K.; Fujiwara, M.; Kosugi, S.; Yambe, M.; Ohmori, M.

    1993-01-01

    One of the SODS (space operation and data system) sub-systems, NP (network planning) was the first expert system used by NASDA (national space development agency of Japan) for tracking and control of satellite. The major responsibilities of the NP system are: first, the allocation of network and satellite control resources and, second, the generation of the network operation plan data (NOP) used in automated control of the stations and control center facilities. Up to now, the first task of network resource scheduling was done by network operators. NP system automatically generates schedules using its knowledge base, which contains information on satellite orbits, station availability, which computer is dedicated to which satellite, and how many stations must be available for a particular satellite pass or a certain time period. The NP system is introduced.

  7. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 59: Japanese Technological Innovation. Implications for Large Commercial Aircraft and Knowledge Diffusion

    Science.gov (United States)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kotler, Mindy L.

    1997-01-01

    This paper explores three factors-public policy, the Japanese (national) innovation system, and knowledge-that influence technological innovation in Japan. To establish a context for the paper, we examine Japanese culture and the U.S. and Japanese patent systems in the background section. A brief history of the Japanese aircraft industry as a source of knowledge and technology for other industries is presented. Japanese and U.S. alliances and linkages in three sectors-biotechnology, semiconductors, and large commercial aircraft (LCA)-and the importation, absorption, and diffusion of knowledge and technology are examined next. The paper closes with implications for diffusing knowledge and technology, U.S. public policy, and LCA.

  8. Media System, Public Knowledge and Democracy

    DEFF Research Database (Denmark)

    Salovaara-Moring, Inka; Curran, James; Iyengar, Shanto

    2009-01-01

    This article addresses the implications of the movement towards entertainment-centred, market-driven media by comparing what is reported and what the public knows in four countries with different media systems. The different systems are public service (Denmark and Finland), a `dual' model (UK) an...... consumption and contributes to a smaller within-nation knowledge gap between the advantaged and disadvantaged. But wider processes in society take precedence over the organization of the media in determining how much people know about public life......) and the market model (US). The comparison shows that public service television devotes more attention to public affairs and international news, and fosters greater knowledge in these areas, than the market model. Public service television also gives greater prominence to news, encourages higher levels of news...

  9. Knowledge Systems and Natural Resources : Management, Policy ...

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

    31 oct. 2007 ... Depuis quelques années, les chercheurs, les responsables des politiques et les militants du développement s'intéressent fortement aux systèmes de connaissances. Knowledge Systems and Natural Resources est un recueil unique d'études de cas réalisées au Népal. Cet ouvrage apporte un éclairage ...

  10. Serving Diverse Knowledge Systems in Academia

    Directory of Open Access Journals (Sweden)

    William F. Birdsall

    2009-06-01

    Full Text Available Libraries and academic disciplines are experiencing a major transformation to the digital era. A challenge for libraries is to adapt and coordinate their transformation with differing rates and types of changes in teaching, research, and scholarly communication among the disciplines they serve. This paper argues libraries need to acknowledge the diversity of knowledge systems and adopt a strategy that requires collaboration between libraries and multiple communities of knowing in the development and provision of heterogeneous services.

  11. ERP System Audit a Control Support For Knowledge Management

    Directory of Open Access Journals (Sweden)

    Traian SURCEL

    2008-01-01

    Full Text Available The ERP system supports most of the business system that maintains in a single database the data needed for a variety of business functions such as Manufacturing, SCM, Financials, Projects, Human Resources and CRM; the audit of this systems is necessary in order to give reasonable assurance to the company on its core system. Obtained evidence evaluation can ensure whether the organization's IT&C system safeguard assets, maintains data integrity, and is operating effectively and efficiently to achieve the organization's goals or objectives. The audit process respecting the methodology based on: gathering information and plan; obtaining an understanding of internal controls; performing test of controls and substantive tests, develop a control support on quality of flow of information and knowledge from formal perspective, for Knowledge Management in large enterprises.

  12. KBGIS-2: A knowledge-based geographic information system

    Science.gov (United States)

    Smith, T.; Peuquet, D.; Menon, S.; Agarwal, P.

    1986-01-01

    The architecture and working of a recently implemented knowledge-based geographic information system (KBGIS-2) that was designed to satisfy several general criteria for the geographic information system are described. The system has four major functions that include query-answering, learning, and editing. The main query finds constrained locations for spatial objects that are describable in a predicate-calculus based spatial objects language. The main search procedures include a family of constraint-satisfaction procedures that use a spatial object knowledge base to search efficiently for complex spatial objects in large, multilayered spatial data bases. These data bases are represented in quadtree form. The search strategy is designed to reduce the computational cost of search in the average case. The learning capabilities of the system include the addition of new locations of complex spatial objects to the knowledge base as queries are answered, and the ability to learn inductively definitions of new spatial objects from examples. The new definitions are added to the knowledge base by the system. The system is currently performing all its designated tasks successfully, although currently implemented on inadequate hardware. Future reports will detail the performance characteristics of the system, and various new extensions are planned in order to enhance the power of KBGIS-2.

  13. Reliability of large and complex systems

    CERN Document Server

    Kolowrocki, Krzysztof

    2014-01-01

    Reliability of Large and Complex Systems, previously titled Reliability of Large Systems, is an innovative guide to the current state and reliability of large and complex systems. In addition to revised and updated content on the complexity and safety of large and complex mechanisms, this new edition looks at the reliability of nanosystems, a key research topic in nanotechnology science. The author discusses the importance of safety investigation of critical infrastructures that have aged or have been exposed to varying operational conditions. This reference provides an asympt

  14. Automating large-scale reactor systems

    International Nuclear Information System (INIS)

    Kisner, R.A.

    1985-01-01

    This paper conveys a philosophy for developing automated large-scale control systems that behave in an integrated, intelligent, flexible manner. Methods for operating large-scale systems under varying degrees of equipment degradation are discussed, and a design approach that separates the effort into phases is suggested. 5 refs., 1 fig

  15. Letter-Sound Knowledge: Exploring Gender Differences in Children When They Start School Regarding Knowledge of Large Letters, Small Letters, Sound Large Letters, and Sound Small Letters

    Directory of Open Access Journals (Sweden)

    Hermundur Sigmundsson

    2017-09-01

    Full Text Available This study explored whether there is a gender difference in letter-sound knowledge when children start at school. 485 children aged 5–6 years completed assessment of letter-sound knowledge, i.e., large letters; sound of large letters; small letters; sound of small letters. The findings indicate a significant difference between girls and boys in all four factors tested in this study in favor of the girls. There are still no clear explanations to the basis of a presumed gender difference in letter-sound knowledge. That the findings have origin in neuro-biological factors cannot be excluded, however, the fact that girls probably have been exposed to more language experience/stimulation compared to boys, lends support to explanations derived from environmental aspects.

  16. Large scale network-centric distributed systems

    CERN Document Server

    Sarbazi-Azad, Hamid

    2014-01-01

    A highly accessible reference offering a broad range of topics and insights on large scale network-centric distributed systems Evolving from the fields of high-performance computing and networking, large scale network-centric distributed systems continues to grow as one of the most important topics in computing and communication and many interdisciplinary areas. Dealing with both wired and wireless networks, this book focuses on the design and performance issues of such systems. Large Scale Network-Centric Distributed Systems provides in-depth coverage ranging from ground-level hardware issu

  17. Border Crossing Knowledge Systems: A PNG Teacher's Autoethnography

    Science.gov (United States)

    Reta, Medi

    2010-01-01

    Narratives have always been integral to Indigenous knowledge transfer. In this autoethnography the author shares her border crossings between her Indigenous knowledge systems and the often dominant Western knowledge system. Pertinent to these experiences are the stark contrasts that exist between the two knowledge systems and their educational…

  18. Toward Knowledge Systems for Sustainability Science

    Science.gov (United States)

    Zaks, D. P.; Jahn, M.

    2011-12-01

    Managing ecosystems for the outcomes of agricultural productivity and resilience will require fundamentally different knowledge management systems. In the industrial paradigm of the 20th century, land was considered an open, unconstrained system managed for maximum yield. While dramatic increases in yield occurred in some crops and locations, unintended but often foreseeable consequences emerged. While productivity remains a key objective, we must develop analytic systems that can identify better management options for the full range of monetized and non-monetized inputs, outputs and outcomes that are captured in the following framing question: How much valued service (e.g. food, materials, energy) can we draw from a landscape while maintaining adequate levels of other valued or necessary services (e.g. biodiversity, water, climate regulation, cultural services) including the long-term productivity of the land? This question is placed within our contemporary framing of valued services, but structured to illuminate the shifts required to achieve long-term sufficiency and planetary resilience. This framing also highlights the need for fundamentally new knowledge systems including information management infrastructures, which effectively support decision-making on landscapes. The purpose of this initiative by authors from diverse fields across government and academic science is to call attention to the need for a vision and investment in sustainability science for landscape management. Substantially enhanced capabilities are needed to compare and integrate information from diverse sources, collected over time that link choices made to meet our needs from landscapes to both short and long term consequences. To further the goal of an information infrastructure for sustainability science, three distinct but interlocking domains are best distinguished: 1) a domain of data, information and knowledge assets; 2) a domain that houses relevant models and tools in a curated

  19. Theme II Joint Work Plan -2017 Collaboration and Knowledge Sharing on Large-scale Demonstration Projects

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Xiaoliang [World Resources Inst. (WRI), Washington, DC (United States); Stauffer, Philip H. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2017-09-25

    This effort is designed to expedite learnings from existing and planned large demonstration projects and their associated research through effective knowledge sharing among participants in the US and China.

  20. Distributed simulation of large computer systems

    International Nuclear Information System (INIS)

    Marzolla, M.

    2001-01-01

    Sequential simulation of large complex physical systems is often regarded as a computationally expensive task. In order to speed-up complex discrete-event simulations, the paradigm of Parallel and Distributed Discrete Event Simulation (PDES) has been introduced since the late 70s. The authors analyze the applicability of PDES to the modeling and analysis of large computer system; such systems are increasingly common in the area of High Energy and Nuclear Physics, because many modern experiments make use of large 'compute farms'. Some feasibility tests have been performed on a prototype distributed simulator

  1. Joint Interactions in Large Online Knowledge Communities: The A[subscript 3]C Framework

    Science.gov (United States)

    Jeong, Heisawn; Cress, Ulrike; Moskaliuk, Johannes; Kimmerle, Joachim

    2017-01-01

    Social interaction is crucial for understanding individual and collective processes in knowledge communities. We describe how technology has changed the way people interact in large communities. Building on this description, we propose a framework that distinguishes four types of joint interactions in online knowledge communities: Attendance,…

  2. Evidence for Knowledge of the Syntax of Large Numbers in Preschoolers

    Science.gov (United States)

    Barrouillet, Pierre; Thevenot, Catherine; Fayol, Michel

    2010-01-01

    The aim of this study was to provide evidence for knowledge of the syntax governing the verbal form of large numbers in preschoolers long before they are able to count up to these numbers. We reasoned that if such knowledge exists, it should facilitate the maintenance in short-term memory of lists of lexical primitives that constitute a number…

  3. Large-scale Complex IT Systems

    OpenAIRE

    Sommerville, Ian; Cliff, Dave; Calinescu, Radu; Keen, Justin; Kelly, Tim; Kwiatkowska, Marta; McDermid, John; Paige, Richard

    2011-01-01

    This paper explores the issues around the construction of large-scale complex systems which are built as 'systems of systems' and suggests that there are fundamental reasons, derived from the inherent complexity in these systems, why our current software engineering methods and techniques cannot be scaled up to cope with the engineering challenges of constructing such systems. It then goes on to propose a research and education agenda for software engineering that identifies the major challen...

  4. Large-scale complex IT systems

    OpenAIRE

    Sommerville, Ian; Cliff, Dave; Calinescu, Radu; Keen, Justin; Kelly, Tim; Kwiatkowska, Marta; McDermid, John; Paige, Richard

    2012-01-01

    12 pages, 2 figures This paper explores the issues around the construction of large-scale complex systems which are built as 'systems of systems' and suggests that there are fundamental reasons, derived from the inherent complexity in these systems, why our current software engineering methods and techniques cannot be scaled up to cope with the engineering challenges of constructing such systems. It then goes on to propose a research and education agenda for software engineering that ident...

  5. Stability of large scale interconnected dynamical systems

    International Nuclear Information System (INIS)

    Akpan, E.P.

    1993-07-01

    Large scale systems modelled by a system of ordinary differential equations are considered and necessary and sufficient conditions are obtained for the uniform asymptotic connective stability of the systems using the method of cone-valued Lyapunov functions. It is shown that this model significantly improves the existing models. (author). 9 refs

  6. Computing in Large-Scale Dynamic Systems

    NARCIS (Netherlands)

    Pruteanu, A.S.

    2013-01-01

    Software applications developed for large-scale systems have always been difficult to de- velop due to problems caused by the large number of computing devices involved. Above a certain network size (roughly one hundred), necessary services such as code updating, topol- ogy discovery and data

  7. Applications of Ontologies in Knowledge Management Systems

    Science.gov (United States)

    Rehman, Zobia; Kifor, Claudiu V.

    2014-12-01

    Enterprises are realizing that their core asset in 21st century is knowledge. In an organization knowledge resides in databases, knowledge bases, filing cabinets and peoples' head. Organizational knowledge is distributed in nature and its poor management causes repetition of activities across the enterprise. To get true benefits from this asset, it is important for an organization to "know what they know". That's why many organizations are investing a lot in managing their knowledge. Artificial intelligence techniques have a huge contribution in organizational knowledge management. In this article we are reviewing the applications of ontologies in knowledge management realm

  8. Trust dynamics in a large system implementation

    DEFF Research Database (Denmark)

    Schlichter, Bjarne Rerup; Rose, Jeremy

    2013-01-01

    outcomes, but largely ignored the dynamics of trust relations. Giddens, as part of his study of modernity, theorises trust dynamics in relation to abstract social systems, though without focusing on information systems. We use Giddens’ concepts to investigate evolving trust relationships in a longitudinal......A large information systems implementation (such as Enterprise Resource Planning systems) relies on the trust of its stakeholders to succeed. Such projects impact diverse groups of stakeholders, each with their legitimate interests and expectations. Levels of stakeholder trust can be expected...... case analysis of a large Integrated Hospital System implementation for the Faroe Islands. Trust relationships suffered a serious breakdown, but the project was able to recover and meet its goals. We develop six theoretical propositions theorising the relationship between trust and project outcomes...

  9. Nuclear knowledge management system in the regulatory activity

    International Nuclear Information System (INIS)

    Nosovskij, A.V.; Klevtsov, A.L.; Kravchenko, N.A.

    2010-01-01

    Important issues on collection, storage and spread of knowledge among organisation dealing with the use of nuclear technologies, role of close cooperation between enterprises and organizations in developing knowledge management, general requirements for creating a nuclear knowledge management system are considered. Recommendations and the main mechanisms are identified to create the knowledge management system in technical support organizations of the regulatory authority.

  10. Computerized examination system on radioprotection knowledge

    International Nuclear Information System (INIS)

    Stanescu, Gabriel; Rosca Fartat, Gabriela; Ghilea, Simion

    2008-01-01

    The aim of this paper is to present the recognition system of the education and training in the field of radioprotection based on the examination system and the software solutions adopted by the regulatory authority in Romania. The Romanian Radiation Protection system is in place since 1950, when the first nuclear research reactor was built and activities involving radioactive sources started to be developed, and several developing phases were passed through. Linked to the Romanian Radiation Protection system an Education, Training and Recognition system was developed. The recognition of the competencies achieved by the personnel in the framework of the education and training system consists in obtaining a work permit. It is mandatory at least for the radiological safety officers to posses a work permit granted by the Romanian Regulatory Body (CNCAN) based on an examination of the radioprotection knowledge. The examination consists in solving a questionnaire on radioprotection and legislation issues. Each participant receives a questionnaire with 60 questions and has to solve it in a time limit of one hour. In 2007 the examination system has been improved by authors who designed a software and a database which contains all the questions and answers with related explanations. For each examination session the software generates randomly for each participant the examination questionnaire. More than 2000 questions and answers from the database are published on the web site of CNCAN for different fields of ionizing radiation applications. Moreover the generated questions and participant's answers are registered in order to perform the further analysis and review. The result is an objective and transparent examination system which encourages the continuous training and retraining. (author)

  11. An Expert System toward Buiding An Earth Science Knowledge Graph

    Science.gov (United States)

    Zhang, J.; Duan, X.; Ramachandran, R.; Lee, T. J.; Bao, Q.; Gatlin, P. N.; Maskey, M.

    2017-12-01

    In this ongoing work, we aim to build foundations of Cognitive Computing for Earth Science research. The goal of our project is to develop an end-to-end automated methodology for incrementally constructing Knowledge Graphs for Earth Science (KG4ES). These knowledge graphs can then serve as the foundational components for building cognitive systems in Earth science, enabling researchers to uncover new patterns and hypotheses that are virtually impossible to identify today. In addition, this research focuses on developing mining algorithms needed to exploit these constructed knowledge graphs. As such, these graphs will free knowledge from publications that are generated in a very linear, deterministic manner, and structure knowledge in a way that users can both interact and connect with relevant pieces of information. Our major contributions are two-fold. First, we have developed an end-to-end methodology for constructing Knowledge Graphs for Earth Science (KG4ES) using existing corpus of journal papers and reports. One of the key challenges in any machine learning, especially deep learning applications, is the need for robust and large training datasets. We have developed techniques capable of automatically retraining models and incrementally building and updating KG4ES, based on ever evolving training data. We also adopt the evaluation instrument based on common research methodologies used in Earth science research, especially in Atmospheric Science. Second, we have developed an algorithm to infer new knowledge that can exploit the constructed KG4ES. In more detail, we have developed a network prediction algorithm aiming to explore and predict possible new connections in the KG4ES and aid in new knowledge discovery.

  12. Numerical solution of large sparse linear systems

    International Nuclear Information System (INIS)

    Meurant, Gerard; Golub, Gene.

    1982-02-01

    This note is based on one of the lectures given at the 1980 CEA-EDF-INRIA Numerical Analysis Summer School whose aim is the study of large sparse linear systems. The main topics are solving least squares problems by orthogonal transformation, fast Poisson solvers and solution of sparse linear system by iterative methods with a special emphasis on preconditioned conjuguate gradient method [fr

  13. Modeling and simulation of large HVDC systems

    Energy Technology Data Exchange (ETDEWEB)

    Jin, H.; Sood, V.K.

    1993-01-01

    This paper addresses the complexity and the amount of work in preparing simulation data and in implementing various converter control schemes and the excessive simulation time involved in modelling and simulation of large HVDC systems. The Power Electronic Circuit Analysis program (PECAN) is used to address these problems and a large HVDC system with two dc links is simulated using PECAN. A benchmark HVDC system is studied to compare the simulation results with those from other packages. The simulation time and results are provided in the paper.

  14. IGENPRO knowledge-based operator support system

    International Nuclear Information System (INIS)

    Morman, J. A.

    1998-01-01

    Research and development is being performed on the knowledge-based IGENPRO operator support package for plant transient diagnostics and management to provide operator assistance during off-normal plant transient conditions. A generic thermal-hydraulic (T-H) first-principles approach is being implemented using automated reasoning, artificial neural networks and fuzzy logic to produce a generic T-H system-independent/plant-independent package. The IGENPRO package has a modular structure composed of three modules: the transient trend analysis module PROTREN, the process diagnostics module PRODIAG and the process management module PROMANA. Cooperative research and development work has focused on the PRODIAG diagnostic module of the IGENPRO package and the operator training matrix of transients used at the Braidwood Pressurized Water Reactor station. Promising simulator testing results with PRODIAG have been obtained for the Braidwood Chemical and Volume Control System (CVCS), and the Component Cooling Water System. Initial CVCS test results have also been obtained for the PROTREN module. The PROMANA effort also involves the CVCS. Future work will be focused on the long-term, slow and mild degradation transients where diagnoses of incipient T-H component failure prior to forced outage events is required. This will enhance the capability of the IGENPRO system as a predictive maintenance tool for plant staff and operator support

  15. Knowledge Representation Using Multilevel Flow Model in Expert System

    International Nuclear Information System (INIS)

    Wang, Wenlin; Yang, Ming

    2015-01-01

    As for the knowledge representation, of course, there are a great many methods available for knowledge representation. These include frames, causal models, and many others. This paper presents a novel method called Multilevel Flow Model (MFM), which is used for knowledge representation in G2 expert system. Knowledge representation plays a vital role in constructing knowledge bases. Moreover, it also has impact on building of generic fault model as well as knowledge bases. The MFM is particularly useful to describe system knowledge concisely as domain map in expert system when domain experts are not available

  16. Knowledge Representation Using Multilevel Flow Model in Expert System

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Wenlin; Yang, Ming [Harbin Engineering University, Harbin (China)

    2015-05-15

    As for the knowledge representation, of course, there are a great many methods available for knowledge representation. These include frames, causal models, and many others. This paper presents a novel method called Multilevel Flow Model (MFM), which is used for knowledge representation in G2 expert system. Knowledge representation plays a vital role in constructing knowledge bases. Moreover, it also has impact on building of generic fault model as well as knowledge bases. The MFM is particularly useful to describe system knowledge concisely as domain map in expert system when domain experts are not available.

  17. Workflow management in large distributed systems

    International Nuclear Information System (INIS)

    Legrand, I; Newman, H; Voicu, R; Dobre, C; Grigoras, C

    2011-01-01

    The MonALISA (Monitoring Agents using a Large Integrated Services Architecture) framework provides a distributed service system capable of controlling and optimizing large-scale, data-intensive applications. An essential part of managing large-scale, distributed data-processing facilities is a monitoring system for computing facilities, storage, networks, and the very large number of applications running on these systems in near realtime. All this monitoring information gathered for all the subsystems is essential for developing the required higher-level services—the components that provide decision support and some degree of automated decisions—and for maintaining and optimizing workflow in large-scale distributed systems. These management and global optimization functions are performed by higher-level agent-based services. We present several applications of MonALISA's higher-level services including optimized dynamic routing, control, data-transfer scheduling, distributed job scheduling, dynamic allocation of storage resource to running jobs and automated management of remote services among a large set of grid facilities.

  18. Workflow management in large distributed systems

    Science.gov (United States)

    Legrand, I.; Newman, H.; Voicu, R.; Dobre, C.; Grigoras, C.

    2011-12-01

    The MonALISA (Monitoring Agents using a Large Integrated Services Architecture) framework provides a distributed service system capable of controlling and optimizing large-scale, data-intensive applications. An essential part of managing large-scale, distributed data-processing facilities is a monitoring system for computing facilities, storage, networks, and the very large number of applications running on these systems in near realtime. All this monitoring information gathered for all the subsystems is essential for developing the required higher-level services—the components that provide decision support and some degree of automated decisions—and for maintaining and optimizing workflow in large-scale distributed systems. These management and global optimization functions are performed by higher-level agent-based services. We present several applications of MonALISA's higher-level services including optimized dynamic routing, control, data-transfer scheduling, distributed job scheduling, dynamic allocation of storage resource to running jobs and automated management of remote services among a large set of grid facilities.

  19. Interfacing knowledge systems: Local knowledge and science in Africa

    African Journals Online (AJOL)

    In this article, with reference to Ghana and Zimbabwe, we explore the traditional African worldview, life-world, belief systems and ways of thinking and reasoning. This discourse captures the rich combination of spirituality, materiality and the social in a concept referred to here as Cosmo vision. Nowadays this worldview ...

  20. Engineering large-scale agent-based systems with consensus

    Science.gov (United States)

    Bokma, A.; Slade, A.; Kerridge, S.; Johnson, K.

    1994-01-01

    The paper presents the consensus method for the development of large-scale agent-based systems. Systems can be developed as networks of knowledge based agents (KBA) which engage in a collaborative problem solving effort. The method provides a comprehensive and integrated approach to the development of this type of system. This includes a systematic analysis of user requirements as well as a structured approach to generating a system design which exhibits the desired functionality. There is a direct correspondence between system requirements and design components. The benefits of this approach are that requirements are traceable into design components and code thus facilitating verification. The use of the consensus method with two major test applications showed it to be successful and also provided valuable insight into problems typically associated with the development of large systems.

  1. Structure of the knowledge base for an expert labeling system

    Science.gov (United States)

    Rajaram, N. S.

    1981-01-01

    One of the principal objectives of the NASA AgRISTARS program is the inventory of global crop resources using remotely sensed data gathered by Land Satellites (LANDSAT). A central problem in any such crop inventory procedure is the interpretation of LANDSAT images and identification of parts of each image which are covered by a particular crop of interest. This task of labeling is largely a manual one done by trained human analysts and consequently presents obstacles to the development of totally automated crop inventory systems. However, development in knowledge engineering as well as widespread availability of inexpensive hardware and software for artificial intelligence work offers possibilities for developing expert systems for labeling of crops. Such a knowledge based approach to labeling is presented.

  2. The representation of knowledge within model-based control systems

    International Nuclear Information System (INIS)

    Weygand, D.P.; Koul, R.

    1987-01-01

    Representation of knowledge in artificially intelligent systems is discussed. Types of knowledge that might need to be represented in AI systems are listed, and include knowledge about objects, events, knowledge about how to do things, and knowledge about what human beings know (meta-knowledge). The use of knowledge in AI systems is discussed in terms of acquiring and retrieving knowledge and reasoning about known facts. Different kinds of reasonings or representations are ghen described with some examples given. These include formal reasoning or logical representation, which is related to mathematical logic, production systems, which are based on the idea of condition-action pairs (production), procedural reasoning, which uses pre-formed plans to solve problems, frames, which provide a structure for representing knowledge in an organized manner, direct analogical representations, which represent knowledge in such a manner that permits some observation without deduction

  3. Large autonomous spacecraft electrical power system (LASEPS)

    Science.gov (United States)

    Dugal-Whitehead, Norma R.; Johnson, Yvette B.

    1992-01-01

    NASA - Marshall Space Flight Center is creating a large high voltage electrical power system testbed called LASEPS. This testbed is being developed to simulate an end-to-end power system from power generation and source to loads. When the system is completed it will have several power configurations, which will include several battery configurations. These configurations are: two 120 V batteries, one or two 150 V batteries, and one 250 to 270 V battery. This breadboard encompasses varying levels of autonomy from remote power converters to conventional software control to expert system control of the power system elements. In this paper, the construction and provisions of this breadboard are discussed.

  4. Measuring the ROI on Knowledge Management Systems.

    Science.gov (United States)

    Wickhorst, Vickie

    2002-01-01

    Defines knowledge management and corporate portals and provides a model that can be applied to assessing return on investment (ROI) for a knowledge management solution. Highlights include leveraging knowledge in an organization; assessing the value of human capital; and the Intellectual Capital Performance Measurement Model. (LRW)

  5. Electronic Geometry Textbook: A Geometric Textbook Knowledge Management System

    OpenAIRE

    Chen, Xiaoyu

    2010-01-01

    Electronic Geometry Textbook is a knowledge management system that manages geometric textbook knowledge to enable users to construct and share dynamic geometry textbooks interactively and efficiently. Based on a knowledge base organizing and storing the knowledge represented in specific languages, the system implements interfaces for maintaining the data representing that knowledge as well as relations among those data, for automatically generating readable documents for viewing or printing, ...

  6. Managing Temporal Knowledge in Port Management Systems

    Directory of Open Access Journals (Sweden)

    Anita Gudelj

    2006-05-01

    Full Text Available Large ports need to deal with a number of disparate activities:the movement of ships, containers and other cargo, theloading and unloading of ships and containers, customs activities.As well as human resources, anchorages, channels, lighters,tugs, berths, warehouse and other storage spaces have to beallocated and released. The efficient management of a port involvesmanaging these activities and resources, managing theflows of money involved between the agents providing and usingthese resources, and providing management information.Many information systems will be involved.Many applications have to deal with a large amount of datawhich not only represent the perceived state of the real world atpresent, but also past and/or future states. These applicationsare not served adequately by today's computer managementand database systems. In particular, deletions and updates insuch systems have destructive semantics. This means that previousdatabase contents (representing previous perceived statesof the real world cannot be accessed anymore.A review of how define temporal data models, based ongeneralizing a non-temporal data model in to a temporal one toimprove port management is presented. This paper describes apractical experiment which supports managing temporal dataalong with the corresponding prototype implementations.

  7. From conventional software based systems to knowledge based systems

    International Nuclear Information System (INIS)

    Bologna, S.

    1995-01-01

    Even if todays nuclear power plants have a very good safety record, there is a continuous search for still improving safety. One direction of this effort address operational safety, trying to improve the handling of disturbances and accidents partly by further automation, partly by creating a better control room environment, providing the operator with intelligent support systems to help in the decision making process. Introduction of intelligent computerised operator support systems has proved to be an efficient way of improving the operators performance. A number of systems have been developed worldwide, assisting in tasks like process fault detection and diagnosis, selection and implementation of proper remedial actions. Unfortunately, the use of Knowledge Based Systems (KBSs), introduces a new dimension to the problem of the licensing process. KBSs, despite the different technology employed, are still nothing more than a computer program. Unfortunately, quite a few people building knowledge based systems seem to ignore the many good programming practices that have evolved over the years for producing traditional computer programs. In this paper the author will try to point out similarities and differences between conventional software based systems, and knowledge based systems, introducing also the concept of model based reasoning. (orig.) (25 refs., 2 figs.)

  8. KNOWLEDGE MANAGEMENT SYSTEM DESIGN AT HUMAN RESOURCES DIVISION

    Directory of Open Access Journals (Sweden)

    Yanti Yanti

    2009-05-01

    Full Text Available The Human Resources Division of a company is a vital division. Most of the time, they perform their work manually, and therefore creating limitations to their capacity. The knowledge contained is very important for human resources development and subsequently for developing the company. In order to manage this knowledge well, the company shall require a knowledge management system. This knowledge management system would be a solution to be used for the company to manage all knowledge contained in that particular division. Phases in designing knowledge managements starts from analyzing knowledge sources of the company, knowledge identification and definition, and determining knowledge goals. Knowledge management systems contain many functions such as collecting, recording and managing the knowledge and sharing this to all related employees easily. The company may also use knowledge management systems to share and inform employees regarding updates of information, news and/or activity regarding the employees themselves. Information from knowledge management systems may also be used by employees to monitor their performance and thereby increasing it. Knowledge management systems may also help employees in their learning activities.Keywords: knowledge management, human resources, employee

  9. Models for large superconducting toroidal magnet systems

    International Nuclear Information System (INIS)

    Arendt, F.; Brechna, H.; Erb, J.; Komarek, P.; Krauth, H.; Maurer, W.

    1976-01-01

    Prior to the design of large GJ toroidal magnet systems it is appropriate to procure small scale models, which can simulate their pertinent properties and allow to investigate their relevant phenomena. The important feature of the model is to show under which circumstances the system performance can be extrapolated to large magnets. Based on parameters such as the maximum magnetic field and the current density, the maximum tolerable magneto-mechanical stresses, a simple method of designing model magnets is presented. It is shown how pertinent design parameters are changed when the toroidal dimensions are altered. In addition some conductor cost estimations are given based on reactor power output and wall loading

  10. Data acquisition system issues for large experiments

    International Nuclear Information System (INIS)

    Siskind, E.J.

    2007-01-01

    This talk consists of personal observations on two classes of data acquisition ('DAQ') systems for Silicon trackers in large experiments with which the author has been concerned over the last three or more years. The first half is a classic 'lessons learned' recital based on experience with the high-level debug and configuration of the DAQ system for the GLAST LAT detector. The second half is concerned with a discussion of the promises and pitfalls of using modern (and future) generations of 'system-on-a-chip' ('SOC') or 'platform' field-programmable gate arrays ('FPGAs') in future large DAQ systems. The DAQ system pipeline for the 864k channels of Si tracker in the GLAST LAT consists of five tiers of hardware buffers which ultimately feed into the main memory of the (two-active-node) level-3 trigger processor farm. The data formats and buffer volumes of these tiers are briefly described, as well as the flow control employed between successive tiers. Lessons learned regarding data formats, buffer volumes, and flow control/data discard policy are discussed. The continued development of platform FPGAs containing large amounts of configurable logic fabric, embedded PowerPC hard processor cores, digital signal processing components, large volumes of on-chip buffer memory, and multi-gigabit serial I/O capability permits DAQ system designers to vastly increase the amount of data preprocessing that can be performed in parallel within the DAQ pipeline for detector systems in large experiments. The capabilities of some currently available FPGA families are reviewed, along with the prospects for next-generation families of announced, but not yet available, platform FPGAs. Some experience with an actual implementation is presented, and reconciliation between advertised and achievable specifications is attempted. The prospects for applying these components to space-borne Si tracker detectors are briefly discussed

  11. Presenting an Approach for Conducting Knowledge Architecture within Large-Scale Organizations.

    Science.gov (United States)

    Varaee, Touraj; Habibi, Jafar; Mohaghar, Ali

    2015-01-01

    Knowledge architecture (KA) establishes the basic groundwork for the successful implementation of a short-term or long-term knowledge management (KM) program. An example of KA is the design of a prototype before a new vehicle is manufactured. Due to a transformation to large-scale organizations, the traditional architecture of organizations is undergoing fundamental changes. This paper explores the main strengths and weaknesses in the field of KA within large-scale organizations and provides a suitable methodology and supervising framework to overcome specific limitations. This objective was achieved by applying and updating the concepts from the Zachman information architectural framework and the information architectural methodology of enterprise architecture planning (EAP). The proposed solution may be beneficial for architects in knowledge-related areas to successfully accomplish KM within large-scale organizations. The research method is descriptive; its validity is confirmed by performing a case study and polling the opinions of KA experts.

  12. Presenting an Approach for Conducting Knowledge Architecture within Large-Scale Organizations

    Science.gov (United States)

    Varaee, Touraj; Habibi, Jafar; Mohaghar, Ali

    2015-01-01

    Knowledge architecture (KA) establishes the basic groundwork for the successful implementation of a short-term or long-term knowledge management (KM) program. An example of KA is the design of a prototype before a new vehicle is manufactured. Due to a transformation to large-scale organizations, the traditional architecture of organizations is undergoing fundamental changes. This paper explores the main strengths and weaknesses in the field of KA within large-scale organizations and provides a suitable methodology and supervising framework to overcome specific limitations. This objective was achieved by applying and updating the concepts from the Zachman information architectural framework and the information architectural methodology of enterprise architecture planning (EAP). The proposed solution may be beneficial for architects in knowledge-related areas to successfully accomplish KM within large-scale organizations. The research method is descriptive; its validity is confirmed by performing a case study and polling the opinions of KA experts. PMID:25993414

  13. Portraiture in the Large Lecture: Storying One Chemistry Professor's Practical Knowledge

    Science.gov (United States)

    Eddleton, Jeannine E.

    Practical knowledge, as defined by Freema Elbaz (1983), is a complex, practically oriented set of understandings which teachers use to actively shape and direct their work. The goal of this study is the construction of a social science portrait that illuminates the practical knowledge of a large lecture professor of general chemistry at a public research university in the southeast. This study continues Elbaz's (1981) work on practical knowledge with the incorporation of a qualitative and intentionally interventionist methodology which "blurs the boundaries of aesthetics and empiricism in an effort to capture the complexity, dynamics, and subtlety of human experience and organizational life," (Lawrence-Lightfoot & Davis, 1997). This collection of interviews, observations, writings, and reflections is designed for an eclectic audience with the intent of initiating conversation on the topic of the large lecture and is a purposeful attempt to link research and practice. Social science portraiture is uniquely suited to this intersection of researcher and researched, the perfect combination of methodology and analysis for a project that is both product and praxis. The following research questions guide the study. • Are aspects of Elbaz's practical knowledge identifiable in the research conversations conducted with a large lecture college professor? • Is practical knowledge identifiable during observations of Patricia's large lecture? Freema Elbaz conducted research conversations with Sarah, a high school classroom and writing resource teacher who conducted much of her teaching work one on one with students. Patricia's practice differs significantly from Sarah's with respect to subject matter and to scale.

  14. Siemens: Smart Technologies for Large Control Systems

    CERN Multimedia

    CERN. Geneva; BAKANY, Elisabeth

    2015-01-01

    The CERN Large Hadron Collider (LHC) is known to be one of the most complex scientific machines ever built by mankind. Its correct functioning relies on the integration of a multitude of interdependent industrial control systems, which provide different and essential services to run and protect the accelerators and experiments. These systems have to deal with several millions of data points (e.g. sensors, actuators, configuration parameters, etc…) which need to be acquired, processed, archived and analysed. Since more than 20 years, CERN and Siemens have developed a strong collaboration to deal with the challenges for these large systems. The presentation will cover the current work on the SCADA (Supervisory Control and Data Acquisition) systems and Data Analytics Frameworks.

  15. Knowledge Management Systems: Linking Contribution, Refinement and Use

    Science.gov (United States)

    Chung, Ting-ting

    2009-01-01

    Electronic knowledge repositories represent one of the fundamental tools for knowledge management (KM) initiatives. Existing research, however, has largely focused on supply-side driven research questions, such as employee motivation to contribute knowledge to a repository. This research turns attention to the dynamic relationship between the…

  16. Geothermal ORC Systems Using Large Screw Expanders

    OpenAIRE

    Biederman, Tim R.; Brasz, Joost J.

    2014-01-01

    Geothermal ORC Systems using Large Screw Expanders Tim Biederman Cyrq Energy Abstract This paper describes a low-temperature Organic Rankine Cycle Power Recovery system with a screw expander a derivative of developed of Kaishan's line of screw compressors, as its power unit. The screw expander design is a modified version of its existing refrigeration compressor used on water-cooled chillers. Starting the ORC development program with existing refrigeration screw compre...

  17. Quality Function Deployment for Large Systems

    Science.gov (United States)

    Dean, Edwin B.

    1992-01-01

    Quality Function Deployment (QFD) is typically applied to small subsystems. This paper describes efforts to extend QFD to large scale systems. It links QFD to the system engineering process, the concurrent engineering process, the robust design process, and the costing process. The effect is to generate a tightly linked project management process of high dimensionality which flushes out issues early to provide a high quality, low cost, and, hence, competitive product. A pre-QFD matrix linking customers to customer desires is described.

  18. A relational data-knowledge base system and its potential in developing a distributed data-knowledge system

    Science.gov (United States)

    Rahimian, Eric N.; Graves, Sara J.

    1988-01-01

    A new approach used in constructing a rational data knowledge base system is described. The relational database is well suited for distribution due to its property of allowing data fragmentation and fragmentation transparency. An example is formulated of a simple relational data knowledge base which may be generalized for use in developing a relational distributed data knowledge base system. The efficiency and ease of application of such a data knowledge base management system is briefly discussed. Also discussed are the potentials of the developed model for sharing the data knowledge base as well as the possible areas of difficulty in implementing the relational data knowledge base management system.

  19. Advanced manipulator system for large hot cells

    International Nuclear Information System (INIS)

    Vertut, J.; Moreau, C.; Brossard, J.P.

    1981-01-01

    Large hot cells can be approached as extrapolated from smaller ones as wide, higher or longer in size with the same concept of using mechanical master slave manipulators and high density windows. This concept leads to a large number of working places and corresponding equipments, with a number of penetrations through the biological protection. When the large cell does not need a permanent operation of number of work places, as in particular to serve PIE machines and maintain the facility, use of servo manipulators with a large supporting unit and extensive use of television appears optimal. The advance on MA 23 and supports will be described including the extra facilities related to manipulators introduction and maintenance. The possibility to combine a powered manipulator and MA 23 (single or pair) on the same boom crane system will be described. An advance control system to bring the minimal dead time to control support movement, associated to the master slave arm operation is under development. The general television system includes over view cameras, associated with the limited number of windows, and manipulators camera. A special new system will be described which brings an automatic control of manipulator cameras and saves operator load and dead time. Full scale tests with MA 23 and support will be discussed. (author)

  20. Sequential decoders for large MIMO systems

    KAUST Repository

    Ali, Konpal S.; Abediseid, Walid; Alouini, Mohamed-Slim

    2014-01-01

    the Sequential Decoder using the Fano Algorithm for large MIMO systems. A parameter called the bias is varied to attain different performance-complexity trade-offs. Low values of the bias result in excellent performance but at the expense of high complexity

  1. Beyond Multiplexing Gain in Large MIMO Systems

    DEFF Research Database (Denmark)

    Cakmak, Burak; Müller, Ralf R.; Fleury, Bernard Henri

    growth (multiplexing gain). Even when the channel entries are i.i.d. the deviation from the linear growth is significant. We also find an additive property of the deviation for a concatenated MIMO system. Finally, we quantify the deviation of the large SNR capacity from the exact capacity and find...

  2. Fires in large scale ventilation systems

    International Nuclear Information System (INIS)

    Gregory, W.S.; Martin, R.A.; White, B.W.; Nichols, B.D.; Smith, P.R.; Leslie, I.H.; Fenton, D.L.; Gunaji, M.V.; Blythe, J.P.

    1991-01-01

    This paper summarizes the experience gained simulating fires in large scale ventilation systems patterned after ventilation systems found in nuclear fuel cycle facilities. The series of experiments discussed included: (1) combustion aerosol loading of 0.61x0.61 m HEPA filters with the combustion products of two organic fuels, polystyrene and polymethylemethacrylate; (2) gas dynamic and heat transport through a large scale ventilation system consisting of a 0.61x0.61 m duct 90 m in length, with dampers, HEPA filters, blowers, etc.; (3) gas dynamic and simultaneous transport of heat and solid particulate (consisting of glass beads with a mean aerodynamic diameter of 10μ) through the large scale ventilation system; and (4) the transport of heat and soot, generated by kerosene pool fires, through the large scale ventilation system. The FIRAC computer code, designed to predict fire-induced transients in nuclear fuel cycle facility ventilation systems, was used to predict the results of experiments (2) through (4). In general, the results of the predictions were satisfactory. The code predictions for the gas dynamics, heat transport, and particulate transport and deposition were within 10% of the experimentally measured values. However, the code was less successful in predicting the amount of soot generation from kerosene pool fires, probably due to the fire module of the code being a one-dimensional zone model. The experiments revealed a complicated three-dimensional combustion pattern within the fire room of the ventilation system. Further refinement of the fire module within FIRAC is needed. (orig.)

  3. Integrated Knowledge Based Expert System for Disease Diagnosis System

    Science.gov (United States)

    Arbaiy, Nureize; Sulaiman, Shafiza Eliza; Hassan, Norlida; Afizah Afip, Zehan

    2017-08-01

    The role and importance of healthcare systems to improve quality of life and social welfare in a society have been well recognized. Attention should be given to raise awareness and implementing appropriate measures to improve health care. Therefore, a computer based system is developed to serve as an alternative for people to self-diagnose their health status based on given symptoms. This strategy should be emphasized so that people can utilize the information correctly as a reference to enjoy healthier life. Hence, a Web-based Community Center for Healthcare Diagnosis system is developed based on expert system technique. Expert system reasoning technique is employed in the system to enable information about treatment and prevention of the diseases based on given symptoms. At present, three diseases are included which are arthritis, thalassemia and pneumococcal. Sets of rule and fact are managed in the knowledge based system. Web based technology is used as a platform to disseminate the information to users in order for them to optimize the information appropriately. This system will benefit people who wish to increase health awareness and seek expert knowledge on the diseases by performing self-diagnosis for early disease detection.

  4. Collaborative ethnography for information systems research Studying knowledge work practices and designing supportive information systems

    Directory of Open Access Journals (Sweden)

    Ronald Maier

    2012-04-01

    Full Text Available Understanding knowledge work and supporting it with information systems (ISs are challenging tasks. Knowledge work has changed substantially recently and studies on how knowledge work is currently performed are scarce. Ethnography is the most suitable qualitative research method for studying knowledge work, yet too time-consuming, costly and unfocused for the fast changing IS domain. Moreover, results from qualitative studies need to be transformed into artefacts useful for IS requirements engineering and design. This paper proposes a procedure for collaborative ethnography to study knowledge work practices and inform IS requirements gathering and design illustrated with the case of a collaborative ethnographic study of seven organisations in four European countries performed in a large-scale international IS research and development project. The paper also critically discusses the procedure’s applicability and limitations.

  5. Applying Knowledge Management in Teacher Evaluation Systems

    Science.gov (United States)

    Essandoh, Albert

    2013-01-01

    Teacher evaluations are underused in public schools, resulting in the loss of knowledge critical to professional development. Knowledge management (KM) theory offers approaches that can lead to improvements in the effectiveness of evaluations and teacher performance. This multiple case study of 9 campuses in an exemplary school district…

  6. Entry control system for large populations

    International Nuclear Information System (INIS)

    Merillat, P.D.

    1982-01-01

    An Entry Control System has been developed which is appropriate for use at an installation with a large population requiring access over a large area. This is accomplished by centralizing the data base management and enrollment functions and decentralizing the guard-assisted, positive personnel identification and access functions. Current information pertaining to all enrollees is maintained through user-friendly enrollment stations. These stations may be used to enroll individuals, alter their area access authorizations, change expiration dates, and other similar functions. An audit trail of data base alterations is provided to the System Manager. Decentrailized systems exist at each area to which access is controlled. The central system provides these systems with the necessary entry control information to allow them to operate microprocessor-driven entry control devices. The system is comprised of commercially available entry control components and is structured such that it will be able to incorporate improved devices as technology porogresses. Currently, access is granted to individuals who possess a valid credential, have current access authorization, can supply a memorized personal identification number, and whose physical hand dimensions match their profile obtained during enrollment. The entry control devices report misuses as security violations to a Guard Alarm Display and Assessment System

  7. Indilinga: African Journal of Indigenous Knowledge Systems - Vol 4 ...

    African Journals Online (AJOL)

    Indilinga: African Journal of Indigenous Knowledge Systems. ... Resource conservation and utilisation through indigenous knowledge in a tribal community of Orissa, ... \\'The snake will swallow you': supernatural snakes and the creation of the ...

  8. Several required OWL features for indigenous knowledge management systems

    CSIR Research Space (South Africa)

    Alberts, R

    2012-05-01

    Full Text Available This paper describes the features required of OWL (Web Ontology Language) to realise and enhance Indigenous Knowledge (IK) digital repositories. Several needs for Indigenous Knowledge management systems (IKMSs) are articulated, based on extensive...

  9. Large-scale Intelligent Transporation Systems simulation

    Energy Technology Data Exchange (ETDEWEB)

    Ewing, T.; Canfield, T.; Hannebutte, U.; Levine, D.; Tentner, A.

    1995-06-01

    A prototype computer system has been developed which defines a high-level architecture for a large-scale, comprehensive, scalable simulation of an Intelligent Transportation System (ITS) capable of running on massively parallel computers and distributed (networked) computer systems. The prototype includes the modelling of instrumented ``smart`` vehicles with in-vehicle navigation units capable of optimal route planning and Traffic Management Centers (TMC). The TMC has probe vehicle tracking capabilities (display position and attributes of instrumented vehicles), and can provide 2-way interaction with traffic to provide advisories and link times. Both the in-vehicle navigation module and the TMC feature detailed graphical user interfaces to support human-factors studies. The prototype has been developed on a distributed system of networked UNIX computers but is designed to run on ANL`s IBM SP-X parallel computer system for large scale problems. A novel feature of our design is that vehicles will be represented by autonomus computer processes, each with a behavior model which performs independent route selection and reacts to external traffic events much like real vehicles. With this approach, one will be able to take advantage of emerging massively parallel processor (MPP) systems.

  10. Intangible Knowledge. The Culture of Knowledge within Organisations from the Perspective of the Sociological Systems Theory

    Directory of Open Access Journals (Sweden)

    Tilia Stingl de Vasconcelos

    2016-02-01

    Full Text Available Knowledge can get lost when workers leave the company, or it may be missed when new challenges emerge. Specific knowledge may be important for the value-added chain of an organization, and its inaccessibility could be a problem. The work on this paper seeks to juxtapose this problem with the concept of intangible knowledge. This concept is developed as an observation model for particular situations within organisations, in which specific, useful, knowledge is no longer available and is being missed. This paper considers a potentially useful way to deal with absence of such knowledge by using the social science approach. In addition to social systems theory, the communication and cultural science view was selected here to propose a new understanding of the function of knowledge as a communicational or cultural parameter within structures and meanings of a social system. This should facilitate a better perception of the actions and dynamics inside organizations regarding knowledge or the lack thereof.

  11. Database management system for large container inspection system

    International Nuclear Information System (INIS)

    Gao Wenhuan; Li Zheng; Kang Kejun; Song Binshan; Liu Fang

    1998-01-01

    Large Container Inspection System (LCIS) based on radiation imaging technology is a powerful tool for the Customs to check the contents inside a large container without opening it. The author has discussed a database application system, as a part of Signal and Image System (SIS), for the LCIS. The basic requirements analysis was done first. Then the selections of computer hardware, operating system, and database management system were made according to the technology and market products circumstance. Based on the above considerations, a database application system with central management and distributed operation features has been implemented

  12. Detector correction in large container inspection systems

    CERN Document Server

    Kang Ke Jun; Chen Zhi Qiang

    2002-01-01

    In large container inspection systems, the image is constructed by parallel scanning with a one-dimensional detector array with a linac used as the X-ray source. The linear nonuniformity and nonlinearity of multiple detectors and the nonuniform intensity distribution of the X-ray sector beam result in horizontal striations in the scan image. This greatly impairs the image quality, so the image needs to be corrected. The correction parameters are determined experimentally by scaling the detector responses at multiple points with logarithm interpolation of the results. The horizontal striations are eliminated by modifying the original image data with the correction parameters. This method has proven to be effective and applicable in large container inspection systems

  13. [Large vessels vasculopathy in systemic sclerosis].

    Science.gov (United States)

    Tejera Segura, Beatriz; Ferraz-Amaro, Iván

    2015-12-07

    Vasculopathy in systemic sclerosis is a severe, in many cases irreversible, manifestation that can lead to amputation. While the classical clinical manifestations of the disease have to do with the involvement of microcirculation, proximal vessels of upper and lower limbs can also be affected. This involvement of large vessels may be related to systemic sclerosis, vasculitis or atherosclerotic, and the differential diagnosis is not easy. To conduct a proper and early diagnosis, it is essential to start prompt appropriate treatment. In this review, we examine the involvement of large vessels in scleroderma, an understudied manifestation with important prognostic and therapeutic implications. Copyright © 2015 Elsevier España, S.L.U. All rights reserved.

  14. Knowledge requirements for information systems outsourcing

    CSIR Research Space (South Africa)

    Smuts, H

    2015-07-01

    Full Text Available resources and independent specialist contractors hired in by the client organisation. A key objective for the outsource vendor was to design a future-proof, integrated and optimised business process set and this requirement emphasised the re- quirement... for knowledge sharing and knowledge flow between all three groups of resources. The tar- get audience for this data collection consisted of permanent employees, contractor and consultant re- sources, as well as business users and programme sponsors...

  15. Energy cascading in large district heating systems

    International Nuclear Information System (INIS)

    Mayer, F.W.

    1978-01-01

    District heat transfer is the most economical utilization of the waste heat of power plants. Optimum utilization and heat transfer over large distances are possible because of a new energy distribution system, the ''energy cascading system,'' in which heat is transferred to several consumer regions at different temperature ranges. It is made more profitable by the use of heat pumps. The optimum flow-line temperature is 368 0 K, and the optimum return-line temperature is 288 0 K, resulting in an approximately 50% reduction of electric power loss at the power plant

  16. Large Efficient Intelligent Heating Relay Station System

    Science.gov (United States)

    Wu, C. Z.; Wei, X. G.; Wu, M. Q.

    2017-12-01

    The design of large efficient intelligent heating relay station system aims at the improvement of the existing heating system in our country, such as low heating efficiency, waste of energy and serious pollution, and the control still depends on the artificial problem. In this design, we first improve the existing plate heat exchanger. Secondly, the ATM89C51 is used to control the whole system and realize the intelligent control. The detection part is using the PT100 temperature sensor, pressure sensor, turbine flowmeter, heating temperature, detection of user end liquid flow, hydraulic, and real-time feedback, feedback signal to the microcontroller through the heating for users to adjust, realize the whole system more efficient, intelligent and energy-saving.

  17. Large Coil Program magnetic system design study

    International Nuclear Information System (INIS)

    Moses, S.D.; Johnson, N.E.

    1977-01-01

    The primary objective of the Large Coil Program (LCP) is to demonstrate the reliable operation of large superconducting coils to provide a basis for the design principles, materials, and fabrication techniques proposed for the toroidal magnets for the THE NEXT STEP (TNS) and other future tokamak devices. This paper documents a design study of the Large Coil Test Facility (LCTF) in which the structural response of the Toroidal Field (TF) Coils and the supporting structure was evaluated under simulated reactor conditions. The LCP test facility structural system consists of six TF Coils, twelve coil-to-coil torsional restraining beams (torque rings), a central bucking post with base, and a Pulse Coil system. The NASTRAN Finite Element Structural Analysis computer Code was utilized to determine the distribution of deflections, forces, and stresses for each of the TF Coils, torque rings, and the central bucking post. Eleven load conditions were selected to represent probable test operations. Pulse Coils suspended in the bore of the test coil were energized to simulate the pulsed field environment characteristic of the TNS reactor system. The TORMAC Computer Code was utilized to develop the magnetic forces in the TF Coils for each of the eleven loading conditions examined, with or without the Pulse Coils energized. The TORMAC computer program output forces were used directly as input load conditions for the NASTRAN analyses. Results are presented which demonstrate the reliability of the LCTF under simulated reactor operating conditions

  18. Status: Large-scale subatmospheric cryogenic systems

    International Nuclear Information System (INIS)

    Peterson, T.

    1989-01-01

    In the late 1960's and early 1970's an interest in testing and operating RF cavities at 1.8K motivated the development and construction of four large (300 Watt) 1.8K refrigeration systems. in the past decade, development of successful superconducting RF cavities and interest in obtaining higher magnetic fields with the improved Niobium-Titanium superconductors has once again created interest in large-scale 1.8K refrigeration systems. The L'Air Liquide plant for Tore Supra is a recently commissioned 300 Watt 1.8K system which incorporates new technology, cold compressors, to obtain the low vapor pressure for low temperature cooling. CEBAF proposes to use cold compressors to obtain 5KW at 2.0K. Magnetic refrigerators of 10 Watt capacity or higher at 1.8K are now being developed. The state of the art of large-scale refrigeration in the range under 4K will be reviewed. 28 refs., 4 figs., 7 tabs

  19. Terminological reference of a knowledge-based system: the data dictionary.

    Science.gov (United States)

    Stausberg, J; Wormek, A; Kraut, U

    1995-01-01

    The development of open and integrated knowledge bases makes new demands on the definition of the used terminology. The definition should be realized in a data dictionary separated from the knowledge base. Within the works done at a reference model of medical knowledge, a data dictionary has been developed and used in different applications: a term definition shell, a documentation tool and a knowledge base. The data dictionary includes that part of terminology, which is largely independent of a certain knowledge model. For that reason, the data dictionary can be used as a basis for integrating knowledge bases into information systems, for knowledge sharing and reuse and for modular development of knowledge-based systems.

  20. Studies on learning by detecting impasse and by resulting it for building large scale knowledge base for autonomous plant

    International Nuclear Information System (INIS)

    Sawaragi, Tetsuo

    1997-03-01

    The acquisition of knowledge from human experts in an exhaustive way is extremely difficult, and even if it were possible, the maintenance of such a large knowledge base for realtime operation is not an easy task. The autonomous system having just incomplete knowledge would face with so many problems that contradicts with the system's current beliefs and/or are novel or unknown to the system. Experienced humans can manage to do with such novelty due to their generalizing ability and analogical inference based on the repertoire of precedents, even if they with new problems. Moreover, through experiencing such breakdowns and impasse, they can acquire some novel knowledge by their proactive attempts to interpret a provided problem as well as by updating their beliefs and contents and organization of their prior knowledge. We call such a style of learning as impasse-driven learning, meaning that learning dose occur being motivated by facing with contradiction and impasse. The related studies concerning with such a style of leaning have been studied within a field of machine learning of artificial intelligence so far as well as within a cognitive science field. In this paper, we at first summarize an outline of machine learning methodologies, and then, we detail about the impasse-driven learning. We discuss that from two different perspective of learning, one is from deductive and analogical learning and the other one is from inductive conceptual learning (i.e., concept formation or generalization-based memory). The former mainly discuss about how the learning system updates its prior beliefs and knowledge so that it can explain away the current contradiction using some meta-cognition heuristics. The latter attempts to assimilate a contradicting problem into its prior memory structure by dynamically reorganizing a collection of the precedents. We present those methodologies, and finally we introduce a case study of concept formation for plant anomalies and its usage for

  1. Solving problems by interrogating sets of knowledge systems: Toward a theory of multiple knowledge systems

    Science.gov (United States)

    Dekorvin, Andre

    1989-01-01

    The main purpose is to develop a theory for multiple knowledge systems. A knowledge system could be a sensor or an expert system, but it must specialize in one feature. The problem is that we have an exhaustive list of possible answers to some query (such as what object is it). By collecting different feature values, in principle, it should be possible to give an answer to the query, or at least narrow down the list. Since a sensor, or for that matter an expert system, does not in most cases yield a precise value for the feature, uncertainty must be built into the model. Also, researchers must have a formal mechanism to be able to put the information together. Researchers chose to use the Dempster-Shafer approach to handle the problems mentioned above. Researchers introduce the concept of a state of recognition and point out that there is a relation between receiving updates and defining a set valued Markov Chain. Also, deciding what the value of the next set valued variable is can be phrased in terms of classical decision making theory such as minimizing the maximum regret. Other related problems are examined.

  2. Construction of a large laser fusion system

    International Nuclear Information System (INIS)

    Hurley, C.A.

    1977-01-01

    Construction of a large laser fusion machine is nearing completion at the Lawrence Livermore Laboratory (LLL). Shiva, a 20-terawatt neodymium doped glass system, will be complete in early 1978. This system will have the high power needed to demonstrate significant thermonuclear burn. Shiva will irradiate a microscopic D-T pellet with 20 separate laser beams arriving simultaneously at the target. This requires precise alignment, and stability to maintain alignment. Hardware for the 20 laser chains is composed of 140 amplifiers, 100 spatial filters, 80 isolation stages, 40 large turning mirrors, and a front-end splitter system of over 100 parts. These are mounted on a high stability, three dimensional spaceframe which serves as an optical bench. The mechanical design effort, spanning approximately 3 years, followed a classic engineering evolution. The conceptual design phase led directly to system optimization through cost and technical tradeoffs. Additional manpower was then required for detailed design and specification of hardware and fabrication. Design of long-lead items was started early in order to initiate fabrication and assembly while the rest of the design was completed. All components were ready for assembly and construction as fiscal priorities and schedules permitted

  3. Knowledge-based system for automatic MBR control.

    Science.gov (United States)

    Comas, J; Meabe, E; Sancho, L; Ferrero, G; Sipma, J; Monclús, H; Rodriguez-Roda, I

    2010-01-01

    MBR technology is currently challenging traditional wastewater treatment systems and is increasingly selected for WWTP upgrading. MBR systems typically are constructed on a smaller footprint, and provide superior treated water quality. However, the main drawback of MBR technology is that the permeability of membranes declines during filtration due to membrane fouling, which for a large part causes the high aeration requirements of an MBR to counteract this fouling phenomenon. Due to the complex and still unknown mechanisms of membrane fouling it is neither possible to describe clearly its development by means of a deterministic model, nor to control it with a purely mathematical law. Consequently the majority of MBR applications are controlled in an "open-loop" way i.e. with predefined and fixed air scour and filtration/relaxation or backwashing cycles, and scheduled inline or offline chemical cleaning as a preventive measure, without taking into account the real needs of membrane cleaning based on its filtration performance. However, existing theoretical and empirical knowledge about potential cause-effect relations between a number of factors (influent characteristics, biomass characteristics and operational conditions) and MBR operation can be used to build a knowledge-based decision support system (KB-DSS) for the automatic control of MBRs. This KB-DSS contains a knowledge-based control module, which, based on real time comparison of the current permeability trend with "reference trends", aims at optimizing the operation and energy costs and decreasing fouling rates. In practice the automatic control system proposed regulates the set points of the key operational variables controlled in MBR systems (permeate flux, relaxation and backwash times, backwash flows and times, aeration flow rates, chemical cleaning frequency, waste sludge flow rate and recycle flow rates) and identifies its optimal value. This paper describes the concepts and the 3-level architecture

  4. Engineering management of large scale systems

    Science.gov (United States)

    Sanders, Serita; Gill, Tepper L.; Paul, Arthur S.

    1989-01-01

    The organization of high technology and engineering problem solving, has given rise to an emerging concept. Reasoning principles for integrating traditional engineering problem solving with system theory, management sciences, behavioral decision theory, and planning and design approaches can be incorporated into a methodological approach to solving problems with a long range perspective. Long range planning has a great potential to improve productivity by using a systematic and organized approach. Thus, efficiency and cost effectiveness are the driving forces in promoting the organization of engineering problems. Aspects of systems engineering that provide an understanding of management of large scale systems are broadly covered here. Due to the focus and application of research, other significant factors (e.g., human behavior, decision making, etc.) are not emphasized but are considered.

  5. Developing Higher-Order Materials Knowledge Systems

    Science.gov (United States)

    Fast, Anthony Nathan

    2011-12-01

    Advances in computational materials science and novel characterization techniques have allowed scientists to probe deeply into a diverse range of materials phenomena. These activities are producing enormous amounts of information regarding the roles of various hierarchical material features in the overall performance characteristics displayed by the material. Connecting the hierarchical information over disparate domains is at the crux of multiscale modeling. The inherent challenge of performing multiscale simulations is developing scale bridging relationships to couple material information between well separated length scales. Much progress has been made in the development of homogenization relationships which replace heterogeneous material features with effective homogenous descriptions. These relationships facilitate the flow of information from lower length scales to higher length scales. Meanwhile, most localization relationships that link the information from a from a higher length scale to a lower length scale are plagued by computationally intensive techniques which are not readily integrated into multiscale simulations. The challenge of executing fully coupled multiscale simulations is augmented by the need to incorporate the evolution of the material structure that may occur under conditions such as material processing. To address these challenges with multiscale simulation, a novel framework called the Materials Knowledge System (MKS) has been developed. This methodology efficiently extracts, stores, and recalls microstructure-property-processing localization relationships. This approach is built on the statistical continuum theories developed by Kroner that express the localization of the response field at the microscale using a series of highly complex convolution integrals, which have historically been evaluated analytically. The MKS approach dramatically improves the accuracy of these expressions by calibrating the convolution kernels in these

  6. Linking a Conceptual Framework on Systems Thinking with Experiential Knowledge

    Science.gov (United States)

    Garavito-Bermúdez, Diana; Lundholm, Cecilia; Crona, Beatrice

    2016-01-01

    This paper addresses a systemic approach for the study of fishers' ecological knowledge in order to describe fishers' ways of knowing and dealing with complexity in ecosystems, and discusses how knowledge is generated through, e.g. apprenticeship, experiential knowledge, and testing of hypotheses. The description and analysis of fishers'…

  7. Information Technology Management Strategies to Implement Knowledge Management Systems

    Science.gov (United States)

    McGee, Mary Jane Christy

    2017-01-01

    More than 38% of the U.S. public workforce will likely retire by 2030, which may result in a labor shortage. Business leaders may adopt strategies to mitigate knowledge loss within their organizations by capturing knowledge in a knowledge management system (KMS). The purpose of this single case study was to explore strategies that information…

  8. Knowledges

    DEFF Research Database (Denmark)

    Berling, Trine Villumsen

    2012-01-01

    Scientific knowledge in international relations has generally focused on an epistemological distinction between rationalism and reflectivism over the last 25 years. This chapter argues that this distinction has created a double distinction between theory/reality and theory/practice, which works...... and reflectivism. Bourdieu, on the contrary, lets the challenge to the theory/reality distinction spill over into a challenge to the theory/practice distinction by thrusting the scientist in the foreground as not just a factor (discourse/genre) but as an actor. In this way, studies of IR need to include a focus...... as a ghost distinction structuring IR research. While reflectivist studies have emphasised the impossibility of detached, objective knowledge production through a dissolution of the theory/reality distinction, the theory/practice distinction has been left largely untouched by both rationalism...

  9. Pulsed rf systems for large storage rings

    International Nuclear Information System (INIS)

    Wilson, P.B.

    1979-03-01

    The possibility is considered that by using a pulsed rf system a substantial reduction can be made in the rf power requirement for the next generation of large storage rings. For a ring with a sufficiently large circumference, the time between bunch passages, T/sub b/, can exceed the cavity filling time, T/sub f/. As the ratio T/sub b//T/sub f/ increases, it is clear that at some point the average power requirement can be reduced by pulsing the rf to the cavities. In this mode of operation, the rf power is turned on a filling time or so before the arrival of a bunch and is switched off again at the time of bunch passage. There is no rf energy in the accelerating structure, and hence no power dissipation, for most of the period between bunches

  10. Knowledge based expert system approach to instrumentation selection (INSEL

    Directory of Open Access Journals (Sweden)

    S. Barai

    2004-08-01

    Full Text Available The selection of appropriate instrumentation for any structural measurement of civil engineering structure is a complex task. Recent developments in Artificial Intelligence (AI can help in an organized use of experiential knowledge available on instrumentation for laboratory and in-situ measurement. Usually, the instrumentation decision is based on the experience and judgment of experimentalists. The heuristic knowledge available for different types of measurement is domain dependent and the information is scattered in varied knowledge sources. The knowledge engineering techniques can help in capturing the experiential knowledge. This paper demonstrates a prototype knowledge based system for INstrument SELection (INSEL assistant where the experiential knowledge for various structural domains can be captured and utilized for making instrumentation decision. In particular, this Knowledge Based Expert System (KBES encodes the heuristics on measurement and demonstrates the instrument selection process with reference to steel bridges. INSEL runs on a microcomputer and uses an INSIGHT 2+ environment.

  11. Intelligent use of knowledge in the EUM system

    International Nuclear Information System (INIS)

    Starynkevitch, B.

    1987-05-01

    A system accepting truely descriptive knowledge should receive (on build) meta-knowledge for using knowledge. The EUM system, in development, described in this paper, accepts such a knowledge. On the bottom level, it is a programming language (or a virtual machine) designed to be able to self-improve by introspection. Upper levels use meta-knowledge. EUM can access all objects its uses, it executes orders by using explicit methods. These can be meta-expertises. Hence, EUM can reason about its own operation, and cleverly use its knowledge and methods. Interaction with user is done by orders; thus it can be expertly driven. The initial inference engine is made of modules which can be replaced or completed by meta-expertises, of which some partial examples are given. Hence, it is possible to extend the knowledge langage, and the inference mechanism, by meta-expertises. In the same way, knowledge bases can be expertly compiled into orders [fr

  12. Knowledge acquisition for nuclear power plant unit diagnostic system

    International Nuclear Information System (INIS)

    Li Xiaodong; Xi Shuren

    2003-01-01

    The process of acquiring knowledge and building a knowledge base is critical to realize fault diagnostic system at unit level in a nuclear power plant. It directly determines whether the diagnostic system can be applied eventually in a commercial plant. A means to acquire knowledge and its procedures was presented in this paper for fault diagnostic system in a nuclear power plant. The work can be carried out step by step and it is feasible in a commercial nuclear power plant. The knowledge base of the fault diagnostic system for a nuclear power plant can be built after the staff finish the tasks according to the framework presented in this paper

  13. Benefits of transactive memory systems in large-scale development

    OpenAIRE

    Aivars, Sablis

    2016-01-01

    Context. Large-scale software development projects are those consisting of a large number of teams, maybe even spread across multiple locations, and working on large and complex software tasks. That means that neither a team member individually nor an entire team holds all the knowledge about the software being developed and teams have to communicate and coordinate their knowledge. Therefore, teams and team members in large-scale software development projects must acquire and manage expertise...

  14. Knowledge management: processes and systems | Igbinovia ...

    African Journals Online (AJOL)

    Information Impact: Journal of Information and Knowledge Management. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 8, No 3 (2017) >. Log in or Register to get access to full text downloads.

  15. Optical interconnect for large-scale systems

    Science.gov (United States)

    Dress, William

    2013-02-01

    This paper presents a switchless, optical interconnect module that serves as a node in a network of identical distribution modules for large-scale systems. Thousands to millions of hosts or endpoints may be interconnected by a network of such modules, avoiding the need for multi-level switches. Several common network topologies are reviewed and their scaling properties assessed. The concept of message-flow routing is discussed in conjunction with the unique properties enabled by the optical distribution module where it is shown how top-down software control (global routing tables, spanning-tree algorithms) may be avoided.

  16. Scalable Molecular Dynamics for Large Biomolecular Systems

    Directory of Open Access Journals (Sweden)

    Robert K. Brunner

    2000-01-01

    Full Text Available We present an optimized parallelization scheme for molecular dynamics simulations of large biomolecular systems, implemented in the production-quality molecular dynamics program NAMD. With an object-based hybrid force and spatial decomposition scheme, and an aggressive measurement-based predictive load balancing framework, we have attained speeds and speedups that are much higher than any reported in literature so far. The paper first summarizes the broad methodology we are pursuing, and the basic parallelization scheme we used. It then describes the optimizations that were instrumental in increasing performance, and presents performance results on benchmark simulations.

  17. Knowledge management systems success in healthcare: Leadership matters.

    Science.gov (United States)

    Ali, Nor'ashikin; Tretiakov, Alexei; Whiddett, Dick; Hunter, Inga

    2017-01-01

    To deliver high-quality healthcare doctors need to access, interpret, and share appropriate and localised medical knowledge. Information technology is widely used to facilitate the management of this knowledge in healthcare organisations. The purpose of this study is to develop a knowledge management systems success model for healthcare organisations. A model was formulated by extending an existing generic knowledge management systems success model by including organisational and system factors relevant to healthcare. It was tested by using data obtained from 263 doctors working within two district health boards in New Zealand. Of the system factors, knowledge content quality was found to be particularly important for knowledge management systems success. Of the organisational factors, leadership was the most important, and more important than incentives. Leadership promoted knowledge management systems success primarily by positively affecting knowledge content quality. Leadership also promoted knowledge management use for retrieval, which should lead to the use of that better quality knowledge by the doctors, ultimately resulting in better outcomes for patients. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  18. Modular pump limiter systems for large tokamaks

    International Nuclear Information System (INIS)

    Uckan, T.; Klepper, C.C.; Mioduszewski, P.K.; McGrath, R.T.

    1987-09-01

    Long-pulse (>10-s) operation of large tokamaks with high-power (>10-MW) heating and extensive external fueling will require correspondingly efficient particle exhaust for density control. A pump limiter can provide the needed exhaust capability by removing a small percentage of the particles, which would otherwise be recycled. Single pump limiter modules have been operated successfully on ISX-B, PDX, TEXTOR, and PLT. An axisymmetric pump limiter is now being installed and will be studied in TEXTOR. A third type of pump limiter is a system that consists of several modules and exhibits performance different from that of a single module. To take advantage of the flexibility of a modular pump limiter system in a high-power, long-pulse device, the power load must be distributed among a number of modules. Because each added module changes the performance of all the others, a set of design criteria must be defined for the overall limiter system. The design parameters for the modules are then determined from the system requirements for particle and power removal. Design criteria and parameters are presented, and the impact on module design of the state of the art in engineering technology is discussed. The relationship between modules are considered from the standpoint of flux coverage and shadowing effects. The results are applied to the Tore Supra tokamak. A preliminary conceptual design for the Tore Supra pump limiter system is discussed, and the design parameters of the limiter modules are presented. 21 refs., 12 figs

  19. The Evolution of Knowledge Management System(Knowledge Management/Two)

    Institute of Scientific and Technical Information of China (English)

    彭艳坤

    2015-01-01

    <正>Introduction"Knowledge is neither data nor information,though it is related to both,and the differences between these terms are often a matter of degree"(Davenport&Prusak,2000;1).Knowledge Management System(KMS)can be differentiated based on the types of functions,its purposes,and the number of features as well as its chronological development.

  20. Large-scale modelling of neuronal systems

    International Nuclear Information System (INIS)

    Castellani, G.; Verondini, E.; Giampieri, E.; Bersani, F.; Remondini, D.; Milanesi, L.; Zironi, I.

    2009-01-01

    The brain is, without any doubt, the most, complex system of the human body. Its complexity is also due to the extremely high number of neurons, as well as the huge number of synapses connecting them. Each neuron is capable to perform complex tasks, like learning and memorizing a large class of patterns. The simulation of large neuronal systems is challenging for both technological and computational reasons, and can open new perspectives for the comprehension of brain functioning. A well-known and widely accepted model of bidirectional synaptic plasticity, the BCM model, is stated by a differential equation approach based on bistability and selectivity properties. We have modified the BCM model extending it from a single-neuron to a whole-network model. This new model is capable to generate interesting network topologies starting from a small number of local parameters, describing the interaction between incoming and outgoing links from each neuron. We have characterized this model in terms of complex network theory, showing how this, learning rule can be a support For network generation.

  1. Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs

    Science.gov (United States)

    Wang, Limin; Guo, Sheng; Huang, Weilin; Xiong, Yuanjun; Qiao, Yu

    2017-04-01

    Convolutional Neural Networks (CNNs) have made remarkable progress on scene recognition, partially due to these recent large-scale scene datasets, such as the Places and Places2. Scene categories are often defined by multi-level information, including local objects, global layout, and background environment, thus leading to large intra-class variations. In addition, with the increasing number of scene categories, label ambiguity has become another crucial issue in large-scale classification. This paper focuses on large-scale scene recognition and makes two major contributions to tackle these issues. First, we propose a multi-resolution CNN architecture that captures visual content and structure at multiple levels. The multi-resolution CNNs are composed of coarse resolution CNNs and fine resolution CNNs, which are complementary to each other. Second, we design two knowledge guided disambiguation techniques to deal with the problem of label ambiguity. (i) We exploit the knowledge from the confusion matrix computed on validation data to merge ambiguous classes into a super category. (ii) We utilize the knowledge of extra networks to produce a soft label for each image. Then the super categories or soft labels are employed to guide CNN training on the Places2. We conduct extensive experiments on three large-scale image datasets (ImageNet, Places, and Places2), demonstrating the effectiveness of our approach. Furthermore, our method takes part in two major scene recognition challenges, and achieves the second place at the Places2 challenge in ILSVRC 2015, and the first place at the LSUN challenge in CVPR 2016. Finally, we directly test the learned representations on other scene benchmarks, and obtain the new state-of-the-art results on the MIT Indoor67 (86.7\\%) and SUN397 (72.0\\%). We release the code and models at~\\url{https://github.com/wanglimin/MRCNN-Scene-Recognition}.

  2. Designing a fuzzy expert system for selecting knowledge management strategy

    Directory of Open Access Journals (Sweden)

    Ameneh Khadivar

    2014-12-01

    Full Text Available knowledge management strategy is mentioned as one of the most important success factors for implementing knowledge management. The KM strategy selection is a complex decision that requires consideration of several factors. For evaluation and selection of an appropriate knowledge management strategy in organizations, many factors must be considered. The identified factors and their impact on knowledge management strategy are inherently ambiguous. In this study, an overview of theoretical foundations of research regarding the different knowledge management strategies has been done And factors influencing the knowledge management strategy selection have been extracted from conceptual frameworks and models. How these factors influence the knowledge management strategy selection is extracted through the fuzzy Delphi. Next a fuzzy expert system for the selection of appropriate knowledge management strategy is designed with respect to factors that have an impact on knowledge management strategy. The factors which influence the selection of knowledge management strategy include: general business strategy, organizational structure, cultural factors, IT strategy, strategic human resource management, social level, the types of knowledge creation processes and release it. The factors which influence the knowledge management strategy selection include: business strategy general, organizational structure, cultural factors, IT strategy, human resource management strategies, socialization level, knowledge types and its creation and diffusion processes. According to identified factors which affect the knowledge management strategy, the final strategy is recommended based on the range of human-oriented and system-oriented by keep the balance of explicit and implicit knowledge. The Designed system performance is tested and evaluated by the information related to three Iranian organization.

  3. Knowledge Based Help desk System in Nuclear Malaysia

    International Nuclear Information System (INIS)

    Mohamad Safuan Sulaiman; Abdul Muin Abdul Rahman; Norzalina Nasirudin; Khairiel Adyani Abdul Ghani; Abdul Aziz Mhd Ramli; Mohd Ashhar Khalid

    2012-01-01

    Knowledge based (K-based) Help desk system is a knowledge oriented web based system that provides support to business process of the technical service providers. It is a multi-centric system which focuses on end-users, technical workers and higher level management through utilization of knowledge which resides and grows within the system. The objectives of the system are to be a user-friendly, capture technical knowledge for efficient performance and educating users for self reliance. These were achieved through the improvement of the help desk business process and better management of technical knowledge. This system has been tested and implemented in Information Technology Center (IT), Engineering Division (BKJ) and Instrumentation and Automation Center (IAC) at the Malaysian Nuclear Agency (Nuclear Malaysia). Higher levels of user satisfaction and faster growth in technical knowledge repository have been recorded in the system. This paper describes the help desk system in the perspective of management of its technical knowledge contributing to strengthening organizational knowledge asset of Nuclear Malaysia as national nuclear research institution. (Author)

  4. Knowledge-based reasoning in the Paladin tactical decision generation system

    Science.gov (United States)

    Chappell, Alan R.

    1993-01-01

    A real-time tactical decision generation system for air combat engagements, Paladin, has been developed. A pilot's job in air combat includes tasks that are largely symbolic. These symbolic tasks are generally performed through the application of experience and training (i.e. knowledge) gathered over years of flying a fighter aircraft. Two such tasks, situation assessment and throttle control, are identified and broken out in Paladin to be handled by specialized knowledge based systems. Knowledge pertaining to these tasks is encoded into rule-bases to provide the foundation for decisions. Paladin uses a custom built inference engine and a partitioned rule-base structure to give these symbolic results in real-time. This paper provides an overview of knowledge-based reasoning systems as a subset of rule-based systems. The knowledge used by Paladin in generating results as well as the system design for real-time execution is discussed.

  5. Using Knowledge-Based Systems to Support Learning of Organizational Knowledge: A Case Study

    Science.gov (United States)

    Cooper, Lynne P.; Nash, Rebecca L.; Phan, Tu-Anh T.; Bailey, Teresa R.

    2003-01-01

    This paper describes the deployment of a knowledge system to support learning of organizational knowledge at the Jet Propulsion Laboratory (JPL), a US national research laboratory whose mission is planetary exploration and to 'do what no one has done before.' Data collected over 19 weeks of operation were used to assess system performance with respect to design considerations, participation, effectiveness of communication mechanisms, and individual-based learning. These results are discussed in the context of organizational learning research and implications for practice.

  6. Sequential decoders for large MIMO systems

    KAUST Repository

    Ali, Konpal S.

    2014-05-01

    Due to their ability to provide high data rates, multiple-input multiple-output (MIMO) systems have become increasingly popular. Decoding of these systems with acceptable error performance is computationally very demanding. In this paper, we employ the Sequential Decoder using the Fano Algorithm for large MIMO systems. A parameter called the bias is varied to attain different performance-complexity trade-offs. Low values of the bias result in excellent performance but at the expense of high complexity and vice versa for higher bias values. Numerical results are done that show moderate bias values result in a decent performance-complexity trade-off. We also attempt to bound the error by bounding the bias, using the minimum distance of a lattice. The variations in complexity with SNR have an interesting trend that shows room for considerable improvement. Our work is compared against linear decoders (LDs) aided with Element-based Lattice Reduction (ELR) and Complex Lenstra-Lenstra-Lovasz (CLLL) reduction. © 2014 IFIP.

  7. Recommender systems in knowledge-mining

    Science.gov (United States)

    Volna, Eva

    2017-07-01

    The subject of the paper is to analyse the possibilities of application of recommender systems in the field of data mining. The work focuses on three basic types of recommender systems (collaborative, content-based and hybrid). The goal of the article is to evaluate which of these three concepts of recommender systems provides forecast with the lowest error rate in the domain of recommending movies. This target is fulfilled by the practical part of the work - at first, the own recommender system was designed and created, capable of obtaining movies recommendation from the database based on the user's preferences. Next, we verified experimentally which recommender system produces more accurate results.

  8. Knowledge-based systems for power management

    Science.gov (United States)

    Lollar, L. F.

    1992-01-01

    NASA-Marshall's Electrical Power Branch has undertaken the development of expert systems in support of further advancements in electrical power system automation. Attention is given to the features (1) of the Fault Recovery and Management Expert System, (2) a resource scheduler or Master of Automated Expert Scheduling Through Resource Orchestration, and (3) an adaptive load-priority manager, or Load Priority List Management System. The characteristics of an advisory battery manager for the Hubble Space Telescope, designated the 'nickel-hydrogen expert system', are also noted.

  9. Irrelevance Reasoning in Knowledge Based Systems

    Science.gov (United States)

    Levy, A. Y.

    1993-01-01

    This dissertation considers the problem of reasoning about irrelevance of knowledge in a principled and efficient manner. Specifically, it is concerned with two key problems: (1) developing algorithms for automatically deciding what parts of a knowledge base are irrelevant to a query and (2) the utility of relevance reasoning. The dissertation describes a novel tool, the query-tree, for reasoning about irrelevance. Based on the query-tree, we develop several algorithms for deciding what formulas are irrelevant to a query. Our general framework sheds new light on the problem of detecting independence of queries from updates. We present new results that significantly extend previous work in this area. The framework also provides a setting in which to investigate the connection between the notion of irrelevance and the creation of abstractions. We propose a new approach to research on reasoning with abstractions, in which we investigate the properties of an abstraction by considering the irrelevance claims on which it is based. We demonstrate the potential of the approach for the cases of abstraction of predicates and projection of predicate arguments. Finally, we describe an application of relevance reasoning to the domain of modeling physical devices.

  10. Engagement with indigenous peoples and honoring traditional knowledge systems

    Science.gov (United States)

    Maldonado, Julie; Bennett, Bull; Chief, Karletta; Cochran, Patricia; Cozetto, Karen; Gough, Bob; Hiza-Redsteer, Margaret M.; Lynn, Kathy; Maynard, Nancy; Voggesser, Garrit

    2016-01-01

    The organizers of the 2014 US National Climate Assessment (NCA) made a concerted effort to reach out to and collaborate with Indigenous peoples, resulting in the most comprehensive information to date on climate change impacts to Indigenous peoples in a US national assessment. Yet, there is still much room for improvement in assessment processes to ensure adequate recognition of Indigenous perspectives and Indigenous knowledge systems. This article discusses the process used in creating the Indigenous Peoples, Land, and Resources NCA chapter by a team comprised of tribal members, agencies, academics, and non-governmental organizations, who worked together to solicit, collect, and synthesize traditional knowledges and data from a diverse array of Indigenous communities across the US. It also discusses the synergy and discord between traditional knowledge systems and science and the emergence of cross-cutting issues and vulnerabilities for Indigenous peoples. The challenges of coalescing information about climate change and its impacts on Indigenous communities are outlined along with recommendations on the types of information to include in future assessment outputs. We recommend that future assessments – not only NCA, but other relevant local, regional, national, and international efforts aimed at the translation of climate information and assessments into meaningful actions – should support integration of Indigenous perspectives in a sustained way that builds respectful relationships and effectively engages Indigenous communities. Given the large number of tribes in the US and the current challenges and unique vulnerabilities of Indigenous communities, a special report focusing solely on climate change and Indigenous peoples is warranted.This article is part of a special issue on “The National Climate Assessment: Innovations in Science and Engagement” edited by Katharine Jacobs, Susanne Moser, and James Buizer.

  11. Knowledge Management System Di Bidang Pelayaran Menggunakan Metodologi USDP

    Directory of Open Access Journals (Sweden)

    Muhamad Nasihin

    2017-03-01

                                                                Abstract Karunia Samudera Indonesia Co. Ltd. is a company that engaged in shipping more than 22 years since 1995 up to now handle a variety of water transport fleet services, the agency, processing of documents, crew recruitment, docking ships, often using social media and email in the dissemination of knowledge and information that is carried out so far. However, these media can not accommodate this company in some ways as the notes of the knowledge that can be searched back and not as a recording medium for the knowledges based on experience in the field. Therefore, we need to design a system that can convert tacit knowledge into explicit knowledge that is useful for Karunia Samudera Indonesia Co. Ltd. and ease to communicate information to the users of services. The system was designed using the methodology of the Unified Software Development Process (USDP in this research is a web application that implements the concept of Knowledge Management System (Knowledge Managements, which the user can interact with Karunia Samudera Indonesia Co. Ltd. as a member of the system by commenting on the article which is a form of knowledge that has been documented.   Keywords:   Knowledge Management System, Unified Software Development Process, Web Application.

  12. Large-scale digitizer system, analog converters

    International Nuclear Information System (INIS)

    Althaus, R.F.; Lee, K.L.; Kirsten, F.A.; Wagner, L.J.

    1976-10-01

    Analog to digital converter circuits that are based on the sharing of common resources, including those which are critical to the linearity and stability of the individual channels, are described. Simplicity of circuit composition is valued over other more costly approaches. These are intended to be applied in a large-scale processing and digitizing system for use with high-energy physics detectors such as drift-chambers or phototube-scintillator arrays. Signal distribution techniques are of paramount importance in maintaining adequate signal-to-noise ratio. Noise in both amplitude and time-jitter senses is held sufficiently low so that conversions with 10-bit charge resolution and 12-bit time resolution are achieved

  13. Pooling knowledge and improving safety for contracted works at a large industrial park.

    Science.gov (United States)

    Agnello, Patrizia; Ansaldi, Silvia; Bragatto, Paolo

    2015-01-01

    At a large chemical park maintenance is contracted by the major companies operating the plants to many small firms. The cultural and psychological isolation of contractor workers was recognized a root cause of severe accidents in the recent years. That problem is common in chemical industry. The knowledge sharing has been assumed a good key to involve contractors and sub contractors in safety culture and contributing to injuries prevention. The selection of personal protective equipment PPE for the maintenance works has been taken as benchmark to demonstrate the adequateness of the proposed approach. To support plant operators, contractors and subcontractors in PPE discussion, a method has been developed. Its core is a knowledge-base, organized in an Ontology, as suitable for inferring decisions. By means of this tool all stakeholders have merged experience and information and find out the right PPE, to be provided, with adequate training and information package. PPE selection requires sound competencies about process and environmental hazards, including major accident, preventive and protective measures, maintenance activities. These pieces of knowledge previously fragmented among plant operators and contractors, have to be pooled, and used to find out the adequate PPE for a number of maintenance works. The PPE selection is per se important, but it is also a good chance to break the contractors' isolation and involve them in safety objectives. Thus by pooling experience and practical knowledge, the common understanding of safety issues has been strengthened.

  14. Knowledge management method for knowledge based BWR Core Operation Management System

    Energy Technology Data Exchange (ETDEWEB)

    Wada, Yutaka; Fukuzaki, Takaharu; Kobayashi, Yasuhiro

    1989-03-01

    A knowledge management method is proposed to support an except whose knowledge is stored in a knowledge base in the BWR Core Operation Management System. When the alterations in the operation plans are motivated by the expert after evaluating them, the method attempts to find the knowledge which must be modified and to give the expert guidances. In this way the resultant operation plans are improved by modifying values of referenced data. Using data dependency among data, which are defined and referred during inference, data to be modified are retrieved. In generating modification guidances, data reference and definition procedures are classified by syntactic analysis of knowledge. The modified data values are calculated with a sensitivity between the increment in the data to be modified and the resultant one in the performance of operation plans. The efficiency of the knowledge management by the proposed method, when applied to the knowledge based system including 500 pieces of knowledge for BWR control rod programming, is higher than that for interactive use of existing general purpose editors. (author).

  15. Knowledge management method for knowledge based BWR Core Operation Management System

    International Nuclear Information System (INIS)

    Wada, Yutaka; Fukuzaki, Takaharu; Kobayashi, Yasuhiro

    1989-01-01

    A knowledge management method is proposed to support an except whose knowledge is stored in a knowledge base in the BWR Core Operation Management System. When the alterations in the operation plans are motivated by the expert after evaluating them, the method attempts to find the knowledge which must be modified and to give the expert guidances. In this way the resultant operation plans are improved by modifying values of referenced data. Using data dependency among data, which are defined and referred during inference, data to be modified are retrieved. In generating modification guidances, data reference and definition procedures are classified by syntactic analysis of knowledge. The modified data values are calculated with a sensitivity between the increment in the data to be modified and the resultant one in the performance of operation plans. The efficiency of the knowledge management by the proposed method, when applied to the knowledge based system including 500 pieces of knowledge for BWR control rod programming, is higher than that for interactive use of existing general purpose editors. (author)

  16. 7th International Conference on Intelligent Systems and Knowledge Engineering

    CERN Document Server

    Li, Tianrui; Li, Hongbo

    2014-01-01

    These proceedings present technical papers selected from the 2012 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2012), held on December 15-17 in Beijing. The aim of this conference is to bring together experts from different fields of expertise to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new findings and perspectives on future developments. The proceedings introduce current scientific and technical advances in the fields of artificial intelligence, machine learning, pattern recognition, data mining, knowledge engineering, information retrieval, information theory, knowledge-based systems, knowledge representation and reasoning, multi-agent systems, and natural-language processing, etc. Furthermore they include papers on new intelligent computing paradigms, which combine new computing methodologies, e.g., cloud computing, service computing and pervasive computing with traditional intelligent methods. By presenting new method...

  17. Large-scale stochasticity in Hamiltonian systems

    International Nuclear Information System (INIS)

    Escande, D.F.

    1982-01-01

    Large scale stochasticity (L.S.S.) in Hamiltonian systems is defined on the paradigm Hamiltonian H(v,x,t) =v 2 /2-M cos x-P cos k(x-t) which describes the motion of one particle in two electrostatic waves. A renormalization transformation Tsub(r) is described which acts as a microscope that focusses on a given KAM (Kolmogorov-Arnold-Moser) torus in phase space. Though approximate, Tsub(r) yields the threshold of L.S.S. in H with an error of 5-10%. The universal behaviour of KAM tori is predicted: for instance the scale invariance of KAM tori and the critical exponent of the Lyapunov exponent of Cantori. The Fourier expansion of KAM tori is computed and several conjectures by L. Kadanoff and S. Shenker are proved. Chirikov's standard mapping for stochastic layers is derived in a simpler way and the width of the layers is computed. A simpler renormalization scheme for these layers is defined. A Mathieu equation for describing the stability of a discrete family of cycles is derived. When combined with Tsub(r), it allows to prove the link between KAM tori and nearby cycles, conjectured by J. Greene and, in particular, to compute the mean residue of a torus. The fractal diagrams defined by G. Schmidt are computed. A sketch of a methodology for computing the L.S.S. threshold in any two-degree-of-freedom Hamiltonian system is given. (Auth.)

  18. SLAP, Large Sparse Linear System Solution Package

    International Nuclear Information System (INIS)

    Greenbaum, A.

    1987-01-01

    1 - Description of program or function: SLAP is a set of routines for solving large sparse systems of linear equations. One need not store the entire matrix - only the nonzero elements and their row and column numbers. Any nonzero structure is acceptable, so the linear system solver need not be modified when the structure of the matrix changes. Auxiliary storage space is acquired and released within the routines themselves by use of the LRLTRAN POINTER statement. 2 - Method of solution: SLAP contains one direct solver, a band matrix factorization and solution routine, BAND, and several interactive solvers. The iterative routines are as follows: JACOBI, Jacobi iteration; GS, Gauss-Seidel Iteration; ILUIR, incomplete LU decomposition with iterative refinement; DSCG and ICCG, diagonal scaling and incomplete Cholesky decomposition with conjugate gradient iteration (for symmetric positive definite matrices only); DSCGN and ILUGGN, diagonal scaling and incomplete LU decomposition with conjugate gradient interaction on the normal equations; DSBCG and ILUBCG, diagonal scaling and incomplete LU decomposition with bi-conjugate gradient iteration; and DSOMN and ILUOMN, diagonal scaling and incomplete LU decomposition with ORTHOMIN iteration

  19. Knowledge management and safety compliance in a high-risk distributed organizational system.

    Science.gov (United States)

    Gressgård, Leif Jarle

    2014-06-01

    In a safety perspective, efficient knowledge management is important for learning purposes and thus to prevent errors from occurring repeatedly. The relationship between knowledge exchange among employees and safety behavior may be of particular importance in distributed organizational systems where similar high-risk activities take place at several locations. This study develops and tests hypotheses concerning the relationship between knowledge exchange systems usage, knowledge exchange in the organizational system, and safety compliance. The operational context of the study is petroleum drilling and well operations involving distributed high-risk activities. The hypotheses are tested by use of survey data collected from a large petroleum operator company and eight of its main contractors. The results show that safety compliance is influenced by use of knowledge exchange systems and degree of knowledge exchange in the organizational system, both within and between units. System usage is the most important predictor, and safety compliance seems to be more strongly related to knowledge exchange within units than knowledge exchange between units. Overall, the study shows that knowledge management is central for safety behavior.

  20. Knowledge Management System in Health & Social Care: Review on 20 Practiced Knowledge Management

    Directory of Open Access Journals (Sweden)

    Muhammad Saiful Ridhwan

    2014-02-01

    Full Text Available The importance of managing medical information has become very critical in the healthcare delivery system. Medical information nowadays are optimized towards serving different areas such as; diagnosing of diseases, planning and administration, treatment and monitoring of patient outcomes, services and costs. This article provides a review into various Health and Social Care systems which encompasses the Knowledge Management value. For analysis, more than 30 systems that are related to Health and Social Care were gathered via Internet research, only 20 of these systems were finally selected based on recent system development and popularity of the system.Keywords: Health Care, Knowledge, Knowledge Management, Social Care, systemdoi:10.12695/ajtm.2013.6.2.4 How to cite this article:Ridhwan, M.S., and Oyefolahan, I.O. (2013. Knowledge Management System in Health & Social Care: Review on 20 Practiced Knowledge Management. The Asian Journal of Technology Management 6 (2: 92-101. Print ISSN: 1978-6956; Online ISSN: 2089-791X. doi:10.12695/ajtm.2013.6.2.4

  1. Models, Metaphors and Symbols for Information and Knowledge Systems

    Directory of Open Access Journals (Sweden)

    David Williams

    2014-01-01

    Full Text Available A literature search indicates that Data, Information and Knowledge continue to be placed into a hierarchical construct where it is considered that information is more valuable than data and that information can be processed into becoming precious knowledge. Wisdom continues to be added to the model to further confuse the issue. This model constrains our ability to think more logically about how and why we develop knowledge management systems to support and enhance knowledge- intensive processes, tasks or projects. This paper seeks to summarise development of the Data-Information-Knowledge-Wisdom hierarchy, explore the extensive criticism of it and present a more logical (and accurate construct for the elements of intellectual capital when developing and managing Knowledge Management Systems.

  2. Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions

    KAUST Repository

    Abdelaziz, Ibrahim; Fokoue, Achille; Hassanzadeh, Oktie; Zhang, Ping; Sadoghi, Mohammad

    2017-01-01

    Drug-Drug Interactions (DDIs) are a major cause of preventable Adverse Drug Reactions (ADRs), causing a significant burden on the patients’ health and the healthcare system. It is widely known that clinical studies cannot sufficiently and accurately identify DDIs for new drugs before they are made available on the market. In addition, existing public and proprietary sources of DDI information are known to be incomplete and/or inaccurate and so not reliable. As a result, there is an emerging body of research on in-silico prediction of drug-drug interactions. In this paper, we present Tiresias, a large-scale similarity-based framework that predicts DDIs through link prediction. Tiresias takes in various sources of drug-related data and knowledge as inputs, and provides DDI predictions as outputs. The process starts with semantic integration of the input data that results in a knowledge graph describing drug attributes and relationships with various related entities such as enzymes, chemical structures, and pathways. The knowledge graph is then used to compute several similarity measures between all the drugs in a scalable and distributed framework. In particular, Tiresias utilizes two classes of features in a knowledge graph: local and global features. Local features are derived from the information directly associated to each drug (i.e., one hop away) while global features are learnt by minimizing a global loss function that considers the complete structure of the knowledge graph. The resulting similarity metrics are used to build features for a large-scale logistic regression model to predict potential DDIs. We highlight the novelty of our proposed Tiresias and perform thorough evaluation of the quality of the predictions. The results show the effectiveness of Tiresias in both predicting new interactions among existing drugs as well as newly developed drugs.

  3. Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions

    KAUST Repository

    Abdelaziz, Ibrahim

    2017-06-12

    Drug-Drug Interactions (DDIs) are a major cause of preventable Adverse Drug Reactions (ADRs), causing a significant burden on the patients’ health and the healthcare system. It is widely known that clinical studies cannot sufficiently and accurately identify DDIs for new drugs before they are made available on the market. In addition, existing public and proprietary sources of DDI information are known to be incomplete and/or inaccurate and so not reliable. As a result, there is an emerging body of research on in-silico prediction of drug-drug interactions. In this paper, we present Tiresias, a large-scale similarity-based framework that predicts DDIs through link prediction. Tiresias takes in various sources of drug-related data and knowledge as inputs, and provides DDI predictions as outputs. The process starts with semantic integration of the input data that results in a knowledge graph describing drug attributes and relationships with various related entities such as enzymes, chemical structures, and pathways. The knowledge graph is then used to compute several similarity measures between all the drugs in a scalable and distributed framework. In particular, Tiresias utilizes two classes of features in a knowledge graph: local and global features. Local features are derived from the information directly associated to each drug (i.e., one hop away) while global features are learnt by minimizing a global loss function that considers the complete structure of the knowledge graph. The resulting similarity metrics are used to build features for a large-scale logistic regression model to predict potential DDIs. We highlight the novelty of our proposed Tiresias and perform thorough evaluation of the quality of the predictions. The results show the effectiveness of Tiresias in both predicting new interactions among existing drugs as well as newly developed drugs.

  4. Viewing Systems for Large Underground Storage Tanks

    International Nuclear Information System (INIS)

    Heckendorn, F.M.; Robinson, C.W.; Anderson, E.K.; Pardini, A.F.

    1996-01-01

    Specialized remote video systems have been successfully developed and deployed in a number of large radiological Underground Storage Tanks (USTs)that tolerate the hostile tank interior, while providing high resolution video to a remotely located operator. The deployment is through 100 mm (4 in) tank openings, while incorporating full video functions of the camera, lights, and zoom lens. The usage of remote video minimizes the potential for personnel exposure to radiological and hazardous conditions, and maximizes the quality of the visual data used to assess the interior conditions of both tank and contents. The robustness of this type of remote system has a direct effect on the potential for radiological exposure that personnel may encounter. The USTs typical of the Savannah River and Hanford Department Of Energy - (DOE) sites are typically 4.5 million liter (1.2 million gal) units under earth. or concrete overburden with limited openings to the surface. The interior is both highly contaminated and radioactive with a wide variety of nuclear processing waste material. Some of the tanks are -flammable rated -to Class 1, Division 1,and personnel presence at or near the openings should be minimized. The interior of these USTs must be assessed periodically as part of the ongoing management of the tanks and as a step towards tank remediation. The systems are unique in their deployment technology, which virtually eliminates the potential for entrapment in a tank, and their ability to withstand flammable environments. A multiplicity of components used within a common packaging allow for cost effective and appropriate levels of technology, with radiation hardened components on some units and lesser requirements on other units. All units are completely self contained for video, zoom lens, lighting, deployment,as well as being self purging, and modular in construction

  5. Nano Mapper: an Internet knowledge mapping system for nanotechnology development

    International Nuclear Information System (INIS)

    Li Xin; Hu, Daning; Dang Yan; Chen Hsinchun; Roco, Mihail C.; Larson, Catherine A.; Chan, Joyce

    2009-01-01

    Nanotechnology research has experienced rapid growth in recent years. Advances in information technology enable efficient investigation of publications, their contents, and relationships for large sets of nanotechnology-related documents in order to assess the status of the field. This paper presents the development of a new knowledge mapping system, called Nano Mapper (http://nanomapper.eller.arizona.eduhttp://nanomapper.eller.arizona.edu), which integrates the analysis of nanotechnology patents and research grants into a Web-based platform. The Nano Mapper system currently contains nanotechnology-related patents for 1976-2006 from the United States Patent and Trademark Office (USPTO), European Patent Office (EPO), and Japan Patent Office (JPO), as well as grant documents from the U.S. National Science Foundation (NSF) for the same time period. The system provides complex search functionalities, and makes available a set of analysis and visualization tools (statistics, trend graphs, citation networks, and content maps) that can be applied to different levels of analytical units (countries, institutions, technical fields) and for different time intervals. The paper shows important nanotechnology patenting activities at USPTO for 2005-2006 identified through the Nano Mapper system.

  6. Nano Mapper: an Internet knowledge mapping system for nanotechnology development

    Energy Technology Data Exchange (ETDEWEB)

    Li Xin, E-mail: xinli@eller.arizona.edu; Hu, Daning, E-mail: hud@eller.arizona.edu; Dang Yan, E-mail: ydang@eller.arizona.edu; Chen Hsinchun, E-mail: hchen@eller.arizona.ed [University of Arizona, Departmet of Management Information Systems, Eller College of Management (United States); Roco, Mihail C., E-mail: mroco@nsf.go [National Science Foundation (United States); Larson, Catherine A., E-mail: cal@eller.arizona.edu; Chan, Joyce, E-mail: joycepchan@eller.arizona.ed [University of Arizona, Department of Management Information Systems, Eller College of Management (United States)

    2009-04-15

    Nanotechnology research has experienced rapid growth in recent years. Advances in information technology enable efficient investigation of publications, their contents, and relationships for large sets of nanotechnology-related documents in order to assess the status of the field. This paper presents the development of a new knowledge mapping system, called Nano Mapper (http://nanomapper.eller.arizona.eduhttp://nanomapper.eller.arizona.edu), which integrates the analysis of nanotechnology patents and research grants into a Web-based platform. The Nano Mapper system currently contains nanotechnology-related patents for 1976-2006 from the United States Patent and Trademark Office (USPTO), European Patent Office (EPO), and Japan Patent Office (JPO), as well as grant documents from the U.S. National Science Foundation (NSF) for the same time period. The system provides complex search functionalities, and makes available a set of analysis and visualization tools (statistics, trend graphs, citation networks, and content maps) that can be applied to different levels of analytical units (countries, institutions, technical fields) and for different time intervals. The paper shows important nanotechnology patenting activities at USPTO for 2005-2006 identified through the Nano Mapper system.

  7. Indilinga: African Journal of Indigenous Knowledge Systems

    African Journals Online (AJOL)

    Debates on methodology, epistemology, ethics, gender, education, science and technology, arts, food systems and social-cultural issues are invited. ... Using fuzzy cognitive maps in modelling and representing weather lore for seasonal ...

  8. Developing a knowledge system for information operations

    CSIR Research Space (South Africa)

    Leenen, L

    2011-03-01

    Full Text Available In this paper we describe a research project to develop an optimal information retrieval system in an Information Operations domain. Information Operations is the application and management of information to gain an advantage over an opponent...

  9. Knowledge representation within information systems in manufacturing environments

    OpenAIRE

    Sharif, Amir M

    2004-01-01

    This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University. Representing knowledge as information content alone is insufficient in providing us with an understanding of the world around us. A combination of context as well as reasoning of the information content is fundamental to representing knowledge in an information system. Knowledge Representation is typically concerned with providing structures and theories that are used as a basis for intellige...

  10. Soft Systems Methodology Embedded in Organizational Knowledge-Creating Process

    OpenAIRE

    Yoshida, Taketoshi

    2005-01-01

    We clarify the role of tacit knowing in the soft systems methodology. For the purpose we investigate the basic structure of its seven-stage model, while embedding the soft systems methodology in organizational knowledge-creating process. This leads to the introduction of concept creation to the methodology. This changes the basic shape of the soft systems methodology from learning cycle to organizational knowledge-creating spiral where concept creation is the key point.

  11. Knowledge acquisition and interface design for learning on demand systems

    Science.gov (United States)

    Nelson, Wayne A.

    1993-01-01

    The rapid changes in our world precipitated by technology have created new problems and new challenges for education and training. A knowledge 'explosion' is occurring as our society moves toward a service oriented economy that relies on information as the major resource. Complex computer systems are beginning to dominate the workplace, causing alarming growth and change in many fields. The rapidly changing nature of the workplace, especially in fields related to information technology, requires that our knowledge be updated constantly. This characteristic of modern society poses seemingly unsolvable instructional problems involving coverage and obsolescence. The sheer amount of information to be learned is rapidly increasing, while at the same time some information becomes obsolete in light of new information. Education, therefore, must become a lifelong process that features learning of new material and skills as needed in relation to the job to be done. Because of the problems cited above, the current model of learning in advance may no longer be feasible in our high-technology world. In many cases, learning in advance is impossible because there are simply too many things to learn. In addition, learning in advance can be time consuming, and often results in decontextualized knowledge that does not readily transfer to the work environment. The large and growing discrepancy between the amount of potentially relevant knowledge available and the amount a person can know and remember makes learning on demand an important alternative to current instructional practices. Learning on demand takes place whenever an individual must learn something new in order to perform a task or make a decision. Learning on demand is a promising approach for addressing the problems of coverage and obsolescence because learning is contextualized and integrated into the task environment rather than being relegated to a separate phase that precedes work. Learning on demand allows learners

  12. SOME CONCEPTUAL PROPERTIES FOR KNOWLEDGE MANAGEMENT SYSTEMS DESIGN

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2005-01-01

    Full Text Available Knowledge Management Systems (KMS are important tools by which organizations can better useinformation and, more importantly, manage knowledge. Unlike other strategies, knowledge management (KM isdifficult to define because it encompasses a range of concepts, management tasks, technologies, and organizationalpractices, all of which come under the umbrella of the information management. Semantic approaches alloweasier and more efficient training, maintenance, and support knowledge. Current ICT markets are dominated byrelational databases and document-centric information technologies, procedural algorithmic programmingparadigms, and stack architecture. A key driver of global economic growth in the coming decade is the build-out ofbroadband telecommunications and the deployment of intelligent services bundling. This paper introduces themain characteristics of an Intelligent Knowledge Management System as a multi-agent system used in a LearningControl Problem (IKMSLCP. We describe an intelligent KM framework, allowing the observer (a human agentto learn from experience.

  13. Knowledge preservation in scope of International Nuclear Information System (INIS)

    International Nuclear Information System (INIS)

    Mohd Hafizal Yusof; Habibah Adnan; Iberahim Ali

    2012-01-01

    Knowledge preservation is one of the important aspects in knowledge management. Developing organization must look back how they preserve their knowledge from loss because of retirement and so on. One approach suggested by International Atomic Energy Agency (IAEA) through establishment of International Nuclear Information System (INIS) that can functioned as database and research centres where its operation based on cooperation between the member states. This system also can function as main contributor to knowledge preservation centres based on research in nuclear science and technology related. The main objectives of this paper is to see how far this system relevant to meet this agency to preserve their knowledge. Besides that, the process of increasing individual competency also is discussed in context of INIS scope. (author)

  14. Knowledge-based fault diagnosis system for refuse collection vehicle

    International Nuclear Information System (INIS)

    Tan, CheeFai; Juffrizal, K.; Khalil, S. N.; Nidzamuddin, M. Y.

    2015-01-01

    The refuse collection vehicle is manufactured by local vehicle body manufacturer. Currently; the company supplied six model of the waste compactor truck to the local authority as well as waste management company. The company is facing difficulty to acquire the knowledge from the expert when the expert is absence. To solve the problem, the knowledge from the expert can be stored in the expert system. The expert system is able to provide necessary support to the company when the expert is not available. The implementation of the process and tool is able to be standardize and more accurate. The knowledge that input to the expert system is based on design guidelines and experience from the expert. This project highlighted another application on knowledge-based system (KBS) approached in trouble shooting of the refuse collection vehicle production process. The main aim of the research is to develop a novel expert fault diagnosis system framework for the refuse collection vehicle

  15. Knowledge-based fault diagnosis system for refuse collection vehicle

    Energy Technology Data Exchange (ETDEWEB)

    Tan, CheeFai; Juffrizal, K.; Khalil, S. N.; Nidzamuddin, M. Y. [Centre of Advanced Research on Energy, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka (Malaysia)

    2015-05-15

    The refuse collection vehicle is manufactured by local vehicle body manufacturer. Currently; the company supplied six model of the waste compactor truck to the local authority as well as waste management company. The company is facing difficulty to acquire the knowledge from the expert when the expert is absence. To solve the problem, the knowledge from the expert can be stored in the expert system. The expert system is able to provide necessary support to the company when the expert is not available. The implementation of the process and tool is able to be standardize and more accurate. The knowledge that input to the expert system is based on design guidelines and experience from the expert. This project highlighted another application on knowledge-based system (KBS) approached in trouble shooting of the refuse collection vehicle production process. The main aim of the research is to develop a novel expert fault diagnosis system framework for the refuse collection vehicle.

  16. Formal Support for Development of Knowledge-Based Systems

    NARCIS (Netherlands)

    Fensel, Dieter; Van Harmelen, Frank; Reif, Wolfgang; Ten Teije, Annette

    1998-01-01

    This article provides an approach for developing reliable knowledge-based systems. Its main contributions are: Specification is done at an architectural level that abstracts from a specific implementation formalism. The model of expertise of CommonKADS distinguishs different types of knowledge and

  17. Local Conceptualisation of Nature, Forest Knowledge Systems and ...

    African Journals Online (AJOL)

    Conventional forest and natural resource management tend to overshadow local forest management practices and ecological knowledge on which rural communities base their survival and livelihood strategies. This article examines how rural communities conceptualize nature, what forest knowledge systems they use and ...

  18. Development of knowledge base system linked to material database

    International Nuclear Information System (INIS)

    Kaji, Yoshiyuki; Tsuji, Hirokazu; Mashiko, Shinichi; Miyakawa, Shunichi; Fujita, Mitsutane; Kinugawa, Junichi; Iwata, Shuichi

    2002-01-01

    The distributed material database system named 'Data-Free-Way' has been developed by four organizations (the National Institute for Materials Science, the Japan Atomic Energy Research Institute, the Japan Nuclear Cycle Development Institute, and the Japan Science and Technology Corporation) under a cooperative agreement in order to share fresh and stimulating information as well as accumulated information for the development of advanced nuclear materials, for the design of structural components, etc. In order to create additional values of the system, knowledge base system, in which knowledge extracted from the material database is expressed, is planned to be developed for more effective utilization of Data-Free-Way. XML (eXtensible Markup Language) has been adopted as the description method of the retrieved results and the meaning of them. One knowledge note described with XML is stored as one knowledge which composes the knowledge base. Since this knowledge note is described with XML, the user can easily convert the display form of the table and the graph into the data format which the user usually uses. This paper describes the current status of Data-Free-Way, the description method of knowledge extracted from the material database with XML and the distributed material knowledge base system. (author)

  19. Development of maintenance knowledge management system for power plant

    International Nuclear Information System (INIS)

    Ohi, Tadashi; Hirai, Kenji

    2004-01-01

    This paper describes the knowledge management framework to systematize maintenance knowledge in power plant. The features of the framework are (1) to construct a decision tree of trouble cases incrementally based on Ripple Down Rules (RDR) method and (2) to decide the timing of installing new knowledge based on several metrics obtained by evaluating a structure of a decision tree. We are developing the experimental prototype of maintenance knowledge management system. The system is integrated with plant database (ex. the operation journals and maintenance records). The management of trouble cases is based on the format of XML. For practical purpose, each trouble case is linked with related data (ex. maintenance manuals, equipment configuration, records). Plant workers can easily search for maintenance knowledge and relevant data by specifying observed status. On the other hand, knowledge engineers can monitor occurrence counts of exceptional cases to each node. The metrics calculation gives a cue to locate the effective node for improving the efficiency of retrieval. We are evaluating the functionality and the effectiveness of the system through the application to maintenance work of controller systems. We believe that this framework will be helpful to share common knowledge among plant sites as well as to manage site-specific knowledge. (author)

  20. The construction of knowledge service system in professional libraries

    International Nuclear Information System (INIS)

    Zhang Xue

    2014-01-01

    In this paper, the challenges for the professional libraries under the new situation are pointed out. Combined with characteristics of knowledge service, its hierarchical structure is proposed and elaborated. It also describes the practices and outcomes obtained from the construction of knowledge service system of nuclear science and technology library. Recommendations for its future work are also presented. (author)

  1. Synergy between indigenous knowledge systems, modern health ...

    African Journals Online (AJOL)

    ... the people of this country should harness a synergy between indigenous health care systems, scientific research and modern health care methods. This article attempts to address the historical evolution of health care methods in South Africa, its effect on the community as well as challenges facing the health professions.

  2. Reusing knowledge in embedded system modelling

    NARCIS (Netherlands)

    Marincic, J.; Mader, Angelika H.; Wieringa, Roelf J.; Lucas, Yan

    Model-based design is a promising technique to improve the quality of software and the efficiency of the software development process. We are investigating how to efficiently model embedded software and its environment to verify the requirements for the system controlled by the software. The

  3. Fuzzy Dynamic Discrimination Algorithms for Distributed Knowledge Management Systems

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2010-12-01

    Full Text Available A reduction of the algorithmic complexity of the fuzzy inference engine has the following property: the inputs (the fuzzy rules and the fuzzy facts can be divided in two parts, one being relatively constant for a long a time (the fuzzy rule or the knowledge model when it is compared to the second part (the fuzzy facts for every inference cycle. The occurrence of certain transformations over the constant part makes sense, in order to decrease the solution procurement time, in the case that the second part varies, but it is known at certain moments in time. The transformations attained in advance are called pre-processing or knowledge compilation. The use of variables in a Business Rule Management System knowledge representation allows factorising knowledge, like in classical knowledge based systems. The language of the first-degree predicates facilitates the formulation of complex knowledge in a rigorous way, imposing appropriate reasoning techniques. It is, thus, necessary to define the description method of fuzzy knowledge, to justify the knowledge exploiting efficiency when the compiling technique is used, to present the inference engine and highlight the functional features of the pattern matching and the state space processes. This paper presents the main results of our project PR356 for designing a compiler for fuzzy knowledge, like Rete compiler, that comprises two main components: a static fuzzy discrimination structure (Fuzzy Unification Tree and the Fuzzy Variables Linking Network. There are also presented the features of the elementary pattern matching process that is based on the compiled structure of fuzzy knowledge. We developed fuzzy discrimination algorithms for Distributed Knowledge Management Systems (DKMSs. The implementations have been elaborated in a prototype system FRCOM (Fuzzy Rule COMpiler.

  4. A Very Large Area Network (VLAN) knowledge-base applied to space communication problems

    Science.gov (United States)

    Zander, Carol S.

    1988-01-01

    This paper first describes a hierarchical model for very large area networks (VLAN). Space communication problems whose solution could profit by the model are discussed and then an enhanced version of this model incorporating the knowledge needed for the missile detection-destruction problem is presented. A satellite network or VLAN is a network which includes at least one satellite. Due to the complexity, a compromise between fully centralized and fully distributed network management has been adopted. Network nodes are assigned to a physically localized group, called a partition. Partitions consist of groups of cell nodes with one cell node acting as the organizer or master, called the Group Master (GM). Coordinating the group masters is a Partition Master (PM). Knowledge is also distributed hierarchically existing in at least two nodes. Each satellite node has a back-up earth node. Knowledge must be distributed in such a way so as to minimize information loss when a node fails. Thus the model is hierarchical both physically and informationally.

  5. Systemic study of knowledge generation at IPEN

    International Nuclear Information System (INIS)

    Monteiro, Carlos Anisio

    2016-01-01

    to R&D collaboration network of IPEN were determined and unveiled, such as the average number of authors per publication, the average of publications by IPEN authors, the total number of publications, the total number of authors, among others. Thus, this work provides a theoretical and empirical contribution to the studies related to scientific collaboration and to the transfer and preservation process of knowledge, as well as various subsidies that contribute to the decision making context in R&D environments. (author)

  6. Knowledge based systems for nuclear applications in Germany

    International Nuclear Information System (INIS)

    Schmidt, F.

    1987-01-01

    Several national and international research programs which are dealing with artificial intelligence and other innovative computer applications are in progress in Germany. However in contrast to the development of computer applications in the past, the new research programs are not very much determined from needs of the nuclear industry. Thus, applications of AI techniques in German nuclear industry are not very innovative in the sense of artificial intelligence. They may be divided into two categories: 1. projects which are aimed to explore the new technologies, 2. projects which are aimed to open new areas of work. This situation changes due to the fact that supercomputers with large memory, workstations with cheap disc devices and fast networks are becoming available. These hardware devices allow the connection of locally available knowledge and data bases with powerful central computer capacity. Using such hardware tools new applications can be developed in nuclear engineering using even existing software tools. These new applications may be characterized as integrated systems. The Integral Planning Simulation System IPSS which is under development at the University of Stuttgart is such a system

  7. Do large-scale assessments measure students' ability to integrate scientific knowledge?

    Science.gov (United States)

    Lee, Hee-Sun

    2010-03-01

    Large-scale assessments are used as means to diagnose the current status of student achievement in science and compare students across schools, states, and countries. For efficiency, multiple-choice items and dichotomously-scored open-ended items are pervasively used in large-scale assessments such as Trends in International Math and Science Study (TIMSS). This study investigated how well these items measure secondary school students' ability to integrate scientific knowledge. This study collected responses of 8400 students to 116 multiple-choice and 84 open-ended items and applied an Item Response Theory analysis based on the Rasch Partial Credit Model. Results indicate that most multiple-choice items and dichotomously-scored open-ended items can be used to determine whether students have normative ideas about science topics, but cannot measure whether students integrate multiple pieces of relevant science ideas. Only when the scoring rubric is redesigned to capture subtle nuances of student open-ended responses, open-ended items become a valid and reliable tool to assess students' knowledge integration ability.

  8. Hydrothermal processes above the Yellowstone magma chamber: Large hydrothermal systems and large hydrothermal explosions

    Science.gov (United States)

    Morgan, L.A.; Shanks, W.C. Pat; Pierce, K.L.

    2009-01-01

    and vein-fi lling; and (5) areal dimensions of many large hydrothermal explosion craters in Yellowstone are similar to those of its active geyser basins and thermal areas. For Yellowstone, our knowledge of hydrothermal craters and ejecta is generally limited to after the Yellowstone Plateau emerged from beneath a late Pleistocene icecap that was roughly a kilometer thick. Large hydrothermal explosions may have occurred earlier as indicated by multiple episodes of cementation and brecciation commonly observed in hydrothermal ejecta clasts. Critical components for large, explosive hydrothermal systems include a watersaturated system at or near boiling temperatures and an interconnected system of well-developed joints and fractures along which hydrothermal fluids flow. Active deformation of the Yellowstone caldera, active faulting and moderate local seismicity, high heat flow, rapid changes in climate, and regional stresses are factors that have strong infl uences on the type of hydrothermal system developed. Ascending hydrothermal fluids flow along fractures that have developed in response to active caldera deformation and along edges of low-permeability rhyolitic lava flows. Alteration of the area affected, self-sealing leading to development of a caprock for the hydrothermal system, and dissolution of silica-rich rocks are additional factors that may constrain the distribution and development of hydrothermal fields. A partial lowpermeability layer that acts as a cap to the hydrothermal system may produce some over-pressurization, thought to be small in most systems. Any abrupt drop in pressure initiates steam fl ashing and is rapidly transmitted through interconnected fractures that result in a series of multiple large-scale explosions contributing to the excavation of a larger explosion crater. Similarities between the size and dimensions of large hydrothermal explosion craters and thermal fields in Yellowstone may indicate that catastrophic events which result in l

  9. Developing knowledge management systems with an active expert methodology

    International Nuclear Information System (INIS)

    Sandahl, K.

    1992-01-01

    Knowledge management, understood as the ability to store, distribute and utilize human knowledge in an organization, is the subject of this dissertation. In particular we have studied the design of methods and supporting software for this process. Detailed and systematic description of the design and development processes of three case-study implementations of knowledge management software are provided. The outcome of the projects is explained in terms of an active expert development methodology, which is centered around support for a domain expert to take substantial responsibility for the design and maintenance of a knowledge management system in a given area of application. Based on the experiences from the case studies and the resulting methodology, an environment for automatically supporting knowledge management was designed in the KNOWLEDGE-LINKER research project. The vital part of this architecture is a knowledge acquisition tool, used directly by the experts in creating and maintaining a knowledge base. An elaborated version of the active expert development methodology was then formulated as the result of applying the KNOWLEDGE-LINKER approach in a fourth case study. This version of the methodology is also accounted for and evaluated together within the supporting KNOWLEDGE-LINKER architecture. (au)

  10. Development of a tool for knowledge base verification of expert system based on Design/CPN

    International Nuclear Information System (INIS)

    Kim, Jong Hyun

    1998-02-01

    Verification is a necessary work in developing a reliable expert system. Verification is a process aimed at demonstrating whether a system meets it's specified requirements. As expert systems are used in various applications, the knowledge base verification of systems takes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study, we analyze the reachability and the error characteristics of the knowledge base. Generally, verification process requires computational support by automated tools. For this reason, this study developed a tool for knowledge base verification based on Design/CPN, which is a tool for editing, modeling, and simulating Colored Petri net. This tool uses Enhanced Colored Petri net as a modeling method. By applying this tool to the knowledge base of nuclear power plant, it is noticed that it can successfully check most of the anomalies that can occur in a knowledge base

  11. Process fault diagnosis using knowledge-based systems

    International Nuclear Information System (INIS)

    Sudduth, A.L.

    1991-01-01

    Advancing technology in process plants has led to increased need for computer based process diagnostic systems to assist the operator. One approach to this problem is to use an embedded knowledge based system to interpret measurement signals. Knowledge based systems using only symptom based rules are inadequate for real time diagnosis of dynamic systems; therefore a model based approach is necessary. Though several forms of model based reasoning have been proposed, the use of qualitative causal models incorporating first principles knowledge of process behavior structure, and function appear to have the most promise as a robust modeling methodology. In this paper the structure of a diagnostic system is described which uses model based reasoning and conventional numerical methods to perform process diagnosis. This system is being applied to emergency diesel generator system in nuclear stations

  12. A Knowledge Dictionary System for Scheduling Support

    Science.gov (United States)

    1988-10-01

    quantity of the resource is allocated; (g) two (or more) activities that conflict temporall , can only proceed if one or more of the activities are re...does not allow any parameter substitution but merely processes the contents of the file as a series of I:eystrokes. To create a macro, simply type...bytes in the system. When the hardware actually uses such a struc- ture (e.g., the Motorola 68000 series CPU) the OS will almost always present it that

  13. Indigenous knowledge systems for the treatment of hypertension in ...

    African Journals Online (AJOL)

    Indigenous knowledge systems for the treatment of hypertension in Lusaka, Zambia: ... are said to access traditional medicine (TM) for their disease management. ... Healers & Practitioners Association of Zambia (THPAZ) operating from within ...

  14. Role of indigenous knowledge systems in the conservation of the ...

    African Journals Online (AJOL)

    African Journal of Environmental Science and Technology ... human and animal health, education and more important in natural resource management. ... these knowledge systems from the time of Kenya's pre-independence to the 2000s era.

  15. Knowledge asset management pertinent to information systems outsourcing

    CSIR Research Space (South Africa)

    Smuts, H

    2015-04-01

    Full Text Available Organisations have over time realised that leveraging their already accumulated knowledge assets are the most cost effective way to increase their competitive standing and to harness innovation. In choosing to outsource their information systems (IS...

  16. Indilinga: African Journal of Indigenous Knowledge Systems - Vol 11 ...

    African Journals Online (AJOL)

    Indilinga: African Journal of Indigenous Knowledge Systems. ... halting the spread of HIV and AIDS in South Africa: The case of Soshanguve township in the ... Tourism policies and management practices as perceived by indigenous people in ...

  17. Enhanced digital library system that supports sustainable knowledge

    African Journals Online (AJOL)

    Enhanced digital library system that supports sustainable knowledge: A focus ... This research work provides a Web-Based University library, ability to access the ... and generates pins to authorize bonafide students and staff of the University.

  18. INTELLIGENT AUTOMATED SYSTEM OF CONTROL OF KNOWLEDGE: LINGUISTIC SUBSYSTEM

    Directory of Open Access Journals (Sweden)

    I. Katerynchuk

    2010-08-01

    Full Text Available A flowchart linguistic structure (morfological, syntactical, semantic and pragmatic analysis of sentences of the automated system of control of intellectual knowledge. The model of artificial intelligence recognition and evaluation of textual answers.

  19. Frame model of knowledge in quality control systems

    Energy Technology Data Exchange (ETDEWEB)

    Macherauskas, V.Yu.

    1982-09-01

    The purpose of this article is to develop a semiotic model for representation of data and knowledge in a system for supplying operational information to management personnel on the progress of a technological process, with the aim of enabling an analysis of deviations of product quality and formulation of recommendations to the technologists as to how to eliminate them. Since any knowledge of people that can be realistically utilized in machine systems is represented in natural language form, special languages for representation of knowledge, based on the concept of frames, are being developed for formation of semiotic models in computers. This article defines the frames, followed by a description of a mechanism of knowledge manipulation and of some aspects of realization of a frame model of knowledge. 9 references.

  20. Use of a Knowledge Management System in Waste Management Projects

    International Nuclear Information System (INIS)

    Gruendler, D.; Boetsch, W.U.; Holzhauer, U.; Nies, R.A.

    2006-01-01

    In Germany the knowledge management system 'WasteInfo' about waste management and disposal issues has been developed and implemented. Beneficiaries of 'WasteInfo' are official decision makers having access to a large information pool. The information pool is fed by experts, so called authors This means compiling of information, evaluation and assigning of appropriate properties (metadata) to this information. The knowledge management system 'WasteInfo' has been introduced at the WM04, the operation of 'WasteInfo' at the WM05. The recent contribution describes the additional advantage of the KMS being used as a tool for the dealing with waste management projects. This specific aspect will be demonstrated using a project concerning a comparative analysis of the implementation of repositories in six countries using nuclear power as examples: The information of 'WasteInfo' is assigned to categories and structured according to its origin and type of publication. To use 'WasteInfo' as a tool for the processing the projects, a suitable set of categories has to be developed for each project. Apart from technical and scientific aspects, the selected project deals with repository strategies and policies in various countries, with the roles of applicants and authorities in licensing procedures, with safety philosophy and with socio-economic concerns. This new point of view has to be modelled in the categories. Similar to this, new sources of information such as local and regional dailies or particular web-sites have to be taken into consideration. In this way 'WasteInfo' represents an open document which reflects the current status of the respective repository policy in several countries. Information with particular meaning for the German repository planning is marked and by this may influence the German strategy. (authors)

  1. Large-scale functional MRI analysis to accumulate knowledge on brain functions

    International Nuclear Information System (INIS)

    Schwartz, Yannick

    2015-01-01

    How can we accumulate knowledge on brain functions? How can we leverage years of research in functional MRI to analyse finer-grained psychological constructs, and build a comprehensive model of the brain? Researchers usually rely on single studies to delineate brain regions recruited by mental processes. They relate their findings to previous works in an informal way by defining regions of interest from the literature. Meta-analysis approaches provide a more principled way to build upon the literature. This thesis investigates three ways to assemble knowledge using activation maps from a large amount of studies. First, we present an approach that uses jointly two similar fMRI experiments, to better condition an analysis from a statistical standpoint. We show that it is a valuable data-driven alternative to traditional regions of interest analyses, but fails to provide a systematic way to relate studies, and thus does not permit to integrate knowledge on a large scale. Because of the difficulty to associate multiple studies, we resort to using a single dataset sampling a large number of stimuli for our second contribution. This method estimates functional networks associated with functional profiles, where the functional networks are interacting brain regions and the functional profiles are a weighted set of cognitive descriptors. This work successfully yields known brain networks and automatically associates meaningful descriptions. Its limitations lie in the unsupervised nature of this method, which is more difficult to validate, and the use of a single dataset. It however brings the notion of cognitive labels, which is central to our last contribution. Our last contribution presents a method that learns functional atlases by combining several datasets. [Henson 2006] shows that forward inference, i.e. the probability of an activation given a cognitive process, is often not sufficient to conclude on the engagement of brain regions for a cognitive process

  2. Environmental effects and large space systems

    Science.gov (United States)

    Garrett, H. B.

    1981-01-01

    When planning large scale operations in space, environmental impact must be considered in addition to radiation, spacecraft charging, contamination, high power and size. Pollution of the atmosphere and space is caused by rocket effluents and by photoelectrons generated by sunlight falling on satellite surfaces even light pollution may result (the SPS may reflect so much light as to be a nuisance to astronomers). Large (100 Km 2) structures also will absorb the high energy particles that impinge on them. Altogether, these effects may drastically alter the Earth's magnetosphere. It is not clear if these alterations will in any way affect the Earth's surface climate. Large structures will also generate large plasma wakes and waves which may cause interference with communications to the vehicle. A high energy, microwave beam from the SPS will cause ionospheric turbulence, affecting UHF and VHF communications. Although none of these effects may ultimately prove critical, they must be considered in the design of large structures.

  3. Knowledge-based operator guidance system for Japanese PWRs

    International Nuclear Information System (INIS)

    Fujita, Y.; Ito, K.; Kawanago, S.; Tani, M.; Murata, R.

    1986-01-01

    A knowledge-based operator support system for nuclear power plant operation is under development. The main theme of the study is the incorporation of operator's cognitive structure as the framework of the knowledge representation and inference control mechanisms. Based upon information collected from interviews, and experiments using a real-time simulator, an operator's model related to diagnostic tasks was developed. A knowledge-based system incorporating the proposed model demonstrated highly efficient problem solving capabilities and the dynamic fitness to operator's perceptual feeling, thereby suggesting the potential importance and practical benefit of such a study

  4. Large solar energy systems within IEA task 14

    NARCIS (Netherlands)

    Geus, A.C. de; Isakson, P.; Bokhoven, T.P.; Vanoli, K.; Tepe, R.

    1996-01-01

    Within IEA Task 14 (Advanced Solar Systems) a working group was established dealing with large advanced solar energy systems (the Large Systems Working group). The goal of this working group was to generate a common base of experiences for the design and construction of advanced large solar systems.

  5. A Note on Systems Intelligence in Knowledge Management

    Science.gov (United States)

    Sasaki, Yasuo

    2017-01-01

    Purpose: This paper aims to show that systems intelligence (SI) can be a useful perspective in knowledge management, particularly in the context of the socialization, externalization, combination and internalization (SECI) model. SI is a recently developed systemic concept, a certain kind of human intelligence based on a systems thinking…

  6. Knowledge based development of graphic display systems

    International Nuclear Information System (INIS)

    Woods, D.D.

    1985-01-01

    Most human factors guidelines on computer display design attempt to ensure that human sensory limits are not strained or that users can potentially access data. While this is a necessary and too often an overlooked step in interface design, it does not address issues about how to use computer displays to aid human performance at domain tasks. This challenge to human factors guidance is particularly acute in complex environments such as nuclear power plants where the goal is more than a useable interface system; the interface must support effective human performance at tasks like situation assessment, fault management, problem solving and planning. Studies of human performance in complex domains reveal that human-machine performance failures can often be linked to problems in information handling - data overload, getting lost, keyhole effects, tunnel vision to name but a few. All of these information handling problems represent manifestations of an inability to find, integrate or interpret the ''right'' data at the ''right'' time, i.e., failures where critical information is not detected among the ambient data load, where critical information is not assembled from data distributed over time or over space; and where critical information is not looked for because of misunderstandings or erroneous assumptions (cf., Woods, 1985). Problems of this kind illustrate that the potential to see, read, or access data does not guarantee successful user information extraction. The result is a need for research and guidance on design for enhanced information extraction in addition to design for data availability

  7. Knowledge and adoption of solar home systems in rural Nicaragua

    International Nuclear Information System (INIS)

    Rebane, Kaja L.; Barham, Bradford L.

    2011-01-01

    Solar home systems (SHSs) are a promising electrification option for many households in the developing world. In most countries SHSs are at an early stage of dissemination, and thus face a hurdle common to many emerging alternative energy technologies: many people do not know enough about them to decide whether to adopt one or not. This study uses survey data collected in Nicaragua to investigate characteristics that predict the knowledge and adoption of SHSs among the rural population. First, a series of probit models is used to model the determinants of four measures of SHS knowledge. Next, a biprobit model with sample selection is employed to investigate the factors that predict SHS adoption, conditional on having sufficient knowledge to make an adoption decision. Comparison of the biprobit formulation to a standard probit model of adoption affirms its value. This study identifies multiple determinants of SHS knowledge and adoption, offers several practical recommendations to project planners, and provides an analytical framework for future work in this policy-relevant area. - Research highlights: → Solar home systems (SHSs) are a promising rural electrification option in the developing world. → As with many emerging renewable energy technologies, lack of knowledge may limit SHS adoption. → We use probit models to investigate the determinants of SHS knowledge in rural Nicaragua. → We also employ a biprobit model linking the determinants of knowledge and adoption. → We find that in analyzing SHS adoption, accounting for sample selection based on knowledge is key.

  8. Real-time expert systems and deep knowledge models

    International Nuclear Information System (INIS)

    Felkel, L.

    1990-01-01

    To guide operators in normal and disturbed plant conditions expert systems are feasible. These, however, must be on-line and real-time systems. The knowledge contained in such a system cannot be represented in a 'classical' role-based manner. The paper describes problems and solutions with regard to process reference models as these are important in order to provide so-called deep-knowledge for the operators. The system described is being implemented and is meant to support both diagnosis and prediction

  9. Integrating scientific knowledge into large-scale restoration programs: the CALFED Bay-Delta Program experience

    Science.gov (United States)

    Taylor, K.A.; Short, A.

    2009-01-01

    Integrating science into resource management activities is a goal of the CALFED Bay-Delta Program, a multi-agency effort to address water supply reliability, ecological condition, drinking water quality, and levees in the Sacramento-San Joaquin Delta of northern California. Under CALFED, many different strategies were used to integrate science, including interaction between the research and management communities, public dialogues about scientific work, and peer review. This paper explores ways science was (and was not) integrated into CALFED's management actions and decision systems through three narratives describing different patterns of scientific integration and application in CALFED. Though a collaborative process and certain organizational conditions may be necessary for developing new understandings of the system of interest, we find that those factors are not sufficient for translating that knowledge into management actions and decision systems. We suggest that the application of knowledge may be facilitated or hindered by (1) differences in the objectives, approaches, and cultures of scientists operating in the research community and those operating in the management community and (2) other factors external to the collaborative process and organization.

  10. An Intelligent Knowledge Management System from a Semantic Perspective

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2008-01-01

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

  11. Risk-benefit evaluation for large technological systems

    International Nuclear Information System (INIS)

    Okrent, D.

    1979-01-01

    The related topics of risk-benefit analysis, risk analysis, and risk-acceptance criteria (How safe is safe enough) are of growing importance. An interdisciplinary study on various aspects of these topics, including applications to nuclear power, was recently completed at the University of California, Los Angeles (UCLA), with the support of the National Science Foundation. In addition to more than 30 topical reports and various open-literature publications, a final report (UCLA-ENG-7777) to the study, titled ''A Generalized Evaluation Approach to Risk--Benefit for Large Technological Systems and Its Application to Nuclear Power'', was issued in early 1978. This article briefly summarizes portions of the final report dealing with general aspects of risk-benefit methodology, societal knowledge and perception of risk, and risk-acceptance criteria

  12. The Role of Archives in Preserving Indigenous Knowledge Systems ...

    African Journals Online (AJOL)

    The management of indigenous knowledge (IK) should take a centre stage in the archive. However, archivists in Zimbabwe do not seem to be seriously concerned with preserving IK. Their disposition is largely influenced by their notion of an archive based on the Western epistemologies that dominated their training as ...

  13. Knowledge network model of the energy consumption in discrete manufacturing system

    Science.gov (United States)

    Xu, Binzi; Wang, Yan; Ji, Zhicheng

    2017-07-01

    Discrete manufacturing system generates a large amount of data and information because of the development of information technology. Hence, a management mechanism is urgently required. In order to incorporate knowledge generated from manufacturing data and production experience, a knowledge network model of the energy consumption in the discrete manufacturing system was put forward based on knowledge network theory and multi-granularity modular ontology technology. This model could provide a standard representation for concepts, terms and their relationships, which could be understood by both human and computer. Besides, the formal description of energy consumption knowledge elements (ECKEs) in the knowledge network was also given. Finally, an application example was used to verify the feasibility of the proposed method.

  14. Segmentation of the hippocampus by transferring algorithmic knowledge for large cohort processing.

    Science.gov (United States)

    Thyreau, Benjamin; Sato, Kazunori; Fukuda, Hiroshi; Taki, Yasuyuki

    2018-01-01

    The hippocampus is a particularly interesting target for neuroscience research studies due to its essential role within the human brain. In large human cohort studies, bilateral hippocampal structures are frequently identified and measured to gain insight into human behaviour or genomic variability in neuropsychiatric disorders of interest. Automatic segmentation is performed using various algorithms, with FreeSurfer being a popular option. In this manuscript, we present a method to segment the bilateral hippocampus using a deep-learned appearance model. Deep convolutional neural networks (ConvNets) have shown great success in recent years, due to their ability to learn meaningful features from a mass of training data. Our method relies on the following key novelties: (i) we use a wide and variable training set coming from multiple cohorts (ii) our training labels come in part from the output of the FreeSurfer algorithm, and (iii) we include synthetic data and use a powerful data augmentation scheme. Our method proves to be robust, and it has fast inference (deep neural-network methods can easily encode, and even improve, existing anatomical knowledge, even when this knowledge exists in algorithmic form. Copyright © 2017 Elsevier B.V. All rights reserved.

  15. Learning Management Systems: Are They Knowledge Management Tools?

    Directory of Open Access Journals (Sweden)

    Bayan Aref Abu Shawar

    2010-03-01

    Full Text Available The new adventure of online world has helped to improve many domains and sectors. Knowledge management era which originally related to business sector is now required in industry, health, or any institute that needs to manage its knowledge. Education is no exception! The advancement in computers speed and memory, and the growth of Internet usage are behind the inspiration of e-learning approach. In which the computer is used as a medium to deliver and share educational materials and knowledge instead of face-to-face tutoring. This makes education available to any one, any place, and any time as learner need. This paper presents the relationship between knowledge management and learning management system (LMS that is used in e-learning paradigms. A detailed description of the LMS used at Arab Open University (AOU is included in this paper. We claim that the LMS used at AOU can be considered as a knowledge management tool.

  16. Space nuclear reactor system diagnosis: Knowledge-based approach

    International Nuclear Information System (INIS)

    Ting, Y.T.D.

    1990-01-01

    SP-100 space nuclear reactor system development is a joint effort by the Department of Energy, the Department of Defense and the National Aeronautics and Space Administration. The system is designed to operate in isolation for many years, and is possibly subject to little or no remote maintenance. This dissertation proposes a knowledge based diagnostic system which, in principle, can diagnose the faults which can either cause reactor shutdown or lead to another serious problem. This framework in general can be applied to the fully specified system if detailed design information becomes available. The set of faults considered herein is identified based on heuristic knowledge about the system operation. The suitable approach to diagnostic problem solving is proposed after investigating the most prevalent methodologies in Artificial Intelligence as well as the causal analysis of the system. Deep causal knowledge modeling based on digraph, fault-tree or logic flowgraph methodology would present a need for some knowledge representation to handle the time dependent system behavior. A proposed qualitative temporal knowledge modeling methodology, using rules with specified time delay among the process variables, has been proposed and is used to develop the diagnostic sufficient rule set. The rule set has been modified by using a time zone approach to have a robust system design. The sufficient rule set is transformed to a sufficient and necessary one by searching the whole knowledge base. Qualitative data analysis is proposed in analyzing the measured data if in a real time situation. An expert system shell - Intelligence Compiler is used to develop the prototype system. Frames are used for the process variables. Forward chaining rules are used in monitoring and backward chaining rules are used in diagnosis

  17. Closing global knowledge gaps : Producing generalized knowledge from case studies of social-ecological systems

    NARCIS (Netherlands)

    Magliocca, Nicholas R.; Ellis, Erle C.; Allington, Ginger R.H.; de Bremond, Ariane; Dell'Angelo, Jampel; Mertz, Ole; Messerli, Peter; Meyfroidt, Patrick; Seppelt, Ralf; Verburg, Peter H.

    2018-01-01

    Concerns over rapid widespread changes in social-ecological systems and their consequences for biodiversity, ecosystem functioning, food security, and human livelihoods are driving demands for globally comprehensive knowledge to support decision-making and policy development. Claims of regional or

  18. Optimize knowledge uptake - employ a knowledge management system to drive principles to practice

    International Nuclear Information System (INIS)

    DeYoe, D.

    2009-01-01

    'Full text:' All too often the R&D community questions why good results based on sound science are not readily adopted by decision makers. We publish, hold conferences, even conduct workshops to engage policy developers and practitioners,who rarely show up. A closer look uncovers a common fault - although we may target decision makers we design information and tools to suit our interests, needs and/or standards then wonder why we end up always preaching to the converted. Are we missing the boat? In a word - yes! Employing the principles of knowledge transfer to infuse critical adaptive and/or mitigative strategies into policy and practice requires the right attitude, the right approach, the right tools and the right audience. The knowledge management cycle provides a framework that focuses on transfer of science principles or innovation into practice. It embodies the array of critical functions and activities inherent in a cycle that integrates knowledge generation, exchange and application. Knowledge exchange specialists play a pivotal role by helping translate technical knowledge into an appropriate suite of facts and figures well suited for consumption by decision makers. More importantly, they can facilitate adoption and the mainstream use of information and tools through collaborative efforts with knowledge application specialists in target organizations. This relationship can enable a knowledge management cycle that stimulates innovation and fosters informed decision making. Examples will be presented that describe what can happen when partners either fail to use, or succeed in using, a knowledge exchange system to manage projects in a manner that helps ensure inter-organizational collaboration. Examples include: a) a pilot study to demonstrate an emerging technology, b) striving for perfection in the face of ill-fated decisions, c) development of science-based policy and d) extension messaging at its best. (author)

  19. Knowledge based system for control rod programming of BWRs

    International Nuclear Information System (INIS)

    Fukuzaki, Takaharu; Yoshida, Ken-ichi; Kobayashi, Yasuhiro

    1988-01-01

    A knowledge based system has been developed to support designers in control rod programming of BWRs. The programming searches through optimal control rod patterns to realize safe and effective burning of nuclear fuel. Knowledge of experienced designers plays the main role in minimizing the number of calculations by the core performance evaluation code. This code predicts power distibution and thermal margins of the nuclear fuel. This knowledge is transformed into 'if-then' type rules and subroutines, and is stored in a knowledge base of the knowledge based system. The system consists of working area, an inference engine and the knowledge base. The inference engine can detect those data which have to be regenerated, call those subroutine which control the user's interface and numerical computations, and store competitive sets of data in different parts of the working area. Using this system, control rod programming of a BWR plant was traced with about 500 rules and 150 subroutines. Both the generation of control rod patterns for the first calculation of the code and the modification of a control rod pattern to reflect the calculation were completed more effectively than in a conventional method. (author)

  20. Integrated knowledge base tool for acquisition and verification of NPP alarm systems

    International Nuclear Information System (INIS)

    Park, Joo Hyun; Seong, Poong Hyun

    1998-01-01

    Knowledge acquisition and knowledge base verification are important activities in developing knowledge-based systems such as alarm processing systems. In this work, we developed the integrated tool, for knowledge acquisition and verification of NPP alarm processing systems, by using G2 tool. The tool integrates document analysis method and ECPN matrix analysis method, for knowledge acquisition and knowledge verification, respectively. This tool enables knowledge engineers to perform their tasks from knowledge acquisition to knowledge verification consistently

  1. Development of a knowledge-based system for loop diagnosis

    International Nuclear Information System (INIS)

    Liao, L.Y.; Tang, H.C.; Chen, S.S.

    1987-01-01

    An accident diagnostic system is developed as an attempt to provide a useful aid for the operators of an experimental loop or a nuclear power plant in the case of emergency condition. Because the current practices in the system diagnosis are not satisfactory, there is an increasing demand on the establishment of various operator decision support systems. The knowledge based system is a new and promising technique which can be used to fulfill this demand. With the capability of automatic reasoning and by incorporating the information about system status, the knowledge based system can simulate the process of human thinking and serve as a good decision support system. This knowledge based decision support system can be helpful for both a fast, violent accident and a slowly developed accident. Specifically, a fast diagnostic report can be provided for a fast and violent accident of which time is the main concern and a complete diagnostic report can be provided for a slowly developed accident of which complexity is the main concern. Such a knowledge based decision support system also provides many other equally important advantages, such as the elimination of human error, the automatic validation of signal readings, the establishment of human error, the automatic validation of signal readings, and the establishment of a simulation environment

  2. Study on large scale knowledge base with real time operation for autonomous nuclear power plant. 1. Basic concept and expecting performance

    International Nuclear Information System (INIS)

    Ozaki, Yoshihiko; Suda, Kazunori; Yoshikawa, Shinji; Ozawa, Kenji

    1996-04-01

    Since it is desired to enhance availability and safety of nuclear power plants operation and maintenance by removing human factor, there are many researches and developments for intelligent operation or diagnosis using artificial intelligence (AI) technique. We have been developing an autonomous operation and maintenance system for nuclear power plants by substituting AI's and intelligent robots. It is indispensable to use various and large scale knowledge relative to plant design, operation, and maintenance, that is, whole life cycle data of the plant for the autonomous nuclear power plant. These knowledge must be given to AI system or intelligent robots adequately and opportunely. Moreover, it is necessary to insure real time operation using the large scale knowledge base for plant control and diagnosis performance. We have been studying on the large scale and real time knowledge base system for autonomous plant. In the report, we would like to present the basic concept and expecting performance of the knowledge base for autonomous plant, especially, autonomous control and diagnosis system. (author)

  3. Online system for knowledge assessment enhances students' results on school knowledge test.

    Science.gov (United States)

    Kralj, Benjamin; Glazar, Sasa Aleksej

    2013-01-01

    Variety of online tools were built to help assessing students' performance in school. Many teachers changed their methods of assessment from paper-and-pencil (P&P) to online systems. In this study we analyse the influence that using an online system for knowledge assessment has on students' knowledge. Based on both a literature study and our own research we designed and built an online system for knowledge assessment. The system is evaluated using two groups of primary school teachers and students (N = 686) in Slovenia: an experimental and a control group. Students solved P&P exams on several occasions. The experimental group was allowed to access the system either at school or at home for a limited period during the presentation of a selected school topic. Students in the experimental group were able to solve tasks and compare their own achievements with those of their coevals. A comparison of the P&P school exams results achieved by both groups revealed a positive effect on subject topic comprehension for those with access to the online self-assessment system.

  4. Optimization of Large-Scale Structural Systems

    DEFF Research Database (Denmark)

    Jensen, F. M.

    solutions to small problems with one or two variables to the optimization of large structures such as bridges, ships and offshore structures. The methods used for salving these problems have evolved from being classical differential calculus and calculus of variation to very advanced numerical techniques...

  5. 75 FR 21455 - Large Trader Reporting System

    Science.gov (United States)

    2010-04-23

    ... essence, a ``large trader'' would be defined as a person whose transactions in NMS securities equal or... directly or indirectly effect securities transactions.\\14\\ \\12\\ Section 13(h) of the Exchange Act defines a... term ``identifying activity level'' is defined in Section 13(h) as ``transactions in publicly traded...

  6. Knowledge based systems advanced concepts, techniques and applications

    CERN Document Server

    1997-01-01

    The field of knowledge-based systems (KBS) has expanded enormously during the last years, and many important techniques and tools are currently available. Applications of KBS range from medicine to engineering and aerospace.This book provides a selected set of state-of-the-art contributions that present advanced techniques, tools and applications. These contributions have been prepared by a group of eminent researchers and professionals in the field.The theoretical topics covered include: knowledge acquisition, machine learning, genetic algorithms, knowledge management and processing under unc

  7. Relational dynamics in the multi-helices knowledge production system

    DEFF Research Database (Denmark)

    Thai, Thi Minh; Hjortsø, Carsten Nico Portefée

    -level dynamics are characterized by political ambidexterity that enables the state to maintain control by privileging traditional science and education constituencies, and at the same time support the transition of the knowledge production system towards international methodology and quality standards through......Drawing on the triple helix framework and organizational institutionalism, this article applies a qualitative research approach to analyze structures, institutional logics, power relations that shape inter-organizational relations and the structuration of a knowledge production system...... in an emerging economy. Findings highlight the emergence of a fifth-helices knowledge production system includes the state, science and education, industry, international actors, and society. The system comprises two major segments, one associated with the traditional command economy and characterized...

  8. Traditional Knowledge of Western Herbal Medicine and Complex Systems Science.

    Science.gov (United States)

    Niemeyer, Kathryn; Bell, Iris R; Koithan, Mary

    2013-09-01

    Traditional knowledge of Western herbal medicine (WHM) supports experiential approaches to healing that have evolved over time. This is evident in the use of polyherb formulations comprised of crude plant parts, individually tailored to treat the cause of dysfunction and imbalance by addressing the whole person holistically. The challenge for WHM is to integrate science with traditional knowledge that is a foundation of the practice of WHM. The purpose of this paper is to provide a plausible theoretical hypothesis by applying complex systems science to WHM, illustrating how medicinal plants are complex, adaptive, environmentally interactive systems exhibiting synergy and nonlinear healing causality. This paper explores the conceptual congruence between medicinal plants and humans as complex systems coherently coupled through recurrent interaction. Complex systems science provides the theoretical tenets that explain traditional knowledge of medicinal plants while supporting clinical practice and expanding research and documentation of WHM.

  9. Knowledge based system for fouling assessment of power plant boiler

    International Nuclear Information System (INIS)

    Afgan, N.H.; He, X.; Carvalho, M.G.; Azevedo, J.L.T.

    1999-01-01

    The paper presents the design of an expert system for fouling assessment in power plant boilers. It is an on-line expert system based on selected criteria for the fouling assessment. Using criteria for fouling assessment based on 'clean' and 'not-clean' radiation heat flux measurements, the diagnostic variable are defined for the boiler heat transfer surface. The development of the prototype knowledge-based system for fouling assessment in power plants boiler comprise the integrations of the elements including knowledge base, inference procedure and prototype configuration. Demonstration of the prototype knowledge-based system for fouling assessment was performed on the Sines power plant. It is a 300 MW coal fired power plant. 12 fields are used with 3 on each side of boiler

  10. A real time knowledge-based alarm system EXTRA

    International Nuclear Information System (INIS)

    Ancelin, J.; Gaussot, J.P.; Legaud, P.

    1987-01-01

    EXTRA is an experimental expert system for industrial process control. The main objectives are the diagnosis and operation aids. From a methodological point of view, EXTRA is based on a deep knowledge of the plant operation and on qualitative simulation principles. The application concerns all the electric power and the Chemical and Volume Control System of a P.W.R. nuclear plant. The tests conducted on a full-scope simulator representative of the real plant yielded excellent results and taught the authors a number of lessons. The main lesson concerns the efficiency and flexibility provided by the combination of a knowledge-based system and of an advanced mini-computer

  11. [Information system in nursing: interacion of tacit-explicit knowledge].

    Science.gov (United States)

    dos Santos, Sérgio Ribeiro

    2005-01-01

    The present article aims to trace some theoretical and conceptual considerations on information systems in nursing, seeking to point out the knowledge based on the clinical practice evidences to construct a model of system integrated to the conceptual structures, formed by the combination of three sciences: information, computing and nursing. This knowledge can systematically describe and explain the necessary phenomena to develop a comprehensive information system that contribute for nursing records improvement and to consolidate a mechanism to provide basic measuring of costs, quality, patient access to care, and results of this care.

  12. [Knowledge management system for laboratory work and clinical decision support].

    Science.gov (United States)

    Inada, Masanori; Sato, Mayumi; Yoneyama, Akiko

    2011-05-01

    This paper discusses a knowledge management system for clinical laboratories. In the clinical laboratory of Toranomon Hospital, we receive about 20 questions relevant to laboratory tests per day from medical doctors or co-medical staff. These questions mostly involve the essence to appropriately accomplish laboratory tests. We have to answer them carefully and suitably because an incorrect answer may cause a medical accident. Up to now, no method has been in place to achieve a rapid response and standardized answers. For this reason, the laboratory staff have responded to various questions based on their individual knowledge. We began to develop a knowledge management system to promote the knowledge of staff working for the laboratory. This system is a type of knowledge base for assisting the work, such as inquiry management, laboratory consultation, process management, and clinical support. It consists of several functions: guiding laboratory test information, managing inquiries from medical staff, reporting results of patient consultation, distributing laboratory staffs notes, and recording guidelines for laboratory medicine. The laboratory test information guide has 2,000 records of medical test information registered in the database with flexible retrieval. The inquiry management tool provides a methos to record all questions, answer easily, and retrieve cases. It helps staff to respond appropriately in a short period of time. The consulting report system treats patients' claims regarding medical tests. The laboratory staffs notes enter a file management system so they can be accessed to aid in clinical support. Knowledge sharing using this function can achieve the transition from individual to organizational learning. Storing guidelines for laboratory medicine will support EBM. Finally, it is expected that this system will support intellectual activity concerning laboratory work and contribute to the practice of knowledge management for clinical work support.

  13. Knowledge Representation Artifacts for Use in Sensemaking Support Systems

    Science.gov (United States)

    2015-03-12

    and manual processing must be replaced by automated processing wherever it makes sense and is possible. Clearly, given the data and cognitive...knowledge-centric view to situation analysis and decision-making as previously discussed, has lead to the development of several automated processing components...for use in sensemaking support systems [6-11]. In turn, automated processing has required the development of appropriate knowledge

  14. Integrating knowledge based functionality in commercial hospital information systems.

    Science.gov (United States)

    Müller, M L; Ganslandt, T; Eich, H P; Lang, K; Ohmann, C; Prokosch, H U

    2000-01-01

    Successful integration of knowledge-based functions in the electronic patient record depends on direct and context-sensitive accessibility and availability to clinicians and must suit their workflow. In this paper we describe an exemplary integration of an existing standalone scoring system for acute abdominal pain into two different commercial hospital information systems using Java/Corba technolgy.

  15. Eighth International Conference on Intelligent Systems and Knowledge Engineering

    CERN Document Server

    Li, Tianrui; ISKE 2013; Foundations of Intelligent Systems; Knowledge Engineering and Management; Practical Applications of Intelligent Systems

    2014-01-01

    "Foundations of Intelligent Systems" presents selected papers from the 2013 International Conference on Intelligent Systems and Knowledge Engineering (ISKE2013). The aim of this conference is to bring together experts from different expertise areas to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new research results and perspectives on future development. The topics in this volume include, but not limited to: Artificial Intelligence Theories, Pattern Recognition, Intelligent System Models, Speech Recognition, Computer Vision, Multi-Agent Systems, Machine Learning, Soft Computing and Fuzzy Systems, Biological Inspired Computation, Game Theory, Cognitive Systems and Information Processing, Computational Intelligence, etc. The proceedings are benefit for both researchers and practitioners who want to utilize intelligent methods in their specific research fields. Dr. Zhenkun Wen is a Professor at the College of Computer and Software Engineering, Shenzhen University...

  16. A knowledge based system for creep-fatigue assessment

    International Nuclear Information System (INIS)

    Holdsworth, S.R.

    1999-01-01

    A knowledge based system was developed in the BRITE-EURAM C-FAT project to store the material property information necessary to perform complex creep-fatigue assessments and to thereby improve the effectiveness of data retrieval for such purposes. The C-FAT KBS incorporates a multi-level database which is structured to contain not only 'reduced' deformation and fracture test data, but also to enable ready access to the derived parameter constants for the constitutive and model equations used in a range of assessment procedures. The data management scheme is reviewed. The C-FAT KBS also has a dynamic worked example module which allows the sensitivity of predicted lifetimes to material property input data to be evaluated by a number of procedures. Complex cycle creep-fatigue endurance predictions are particularly sensitive to the creep property data used in assessment, and this is demonstrated with reference to the results of a number of large single edge notched bend specimen feature tests performed on a 1CrMoV turbine casting steel at 550 C. (orig.)

  17. IGENPRO knowledge-based digital system for process transient diagnostics and management

    International Nuclear Information System (INIS)

    Morman, J.A.; Reifman, J.; Vitela, J.E.; Wei, T.Y.C.; Applequist, C.A.; Hippely, P.; Kuk, W.; Tsoukalas, L.H.

    1998-01-01

    Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R and D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R and D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management. (author)

  18. IGENPRO knowledge-based digital system for process transient diagnostics and management

    International Nuclear Information System (INIS)

    Morman, J.A.; Reifman, J.; Wei, T.Y.C.

    1997-01-01

    Verification and validation issues have been perceived as important factors in the large scale deployment of knowledge-based digital systems for plant transient diagnostics and management. Research and development (R ampersand D) is being performed on the IGENPRO package to resolve knowledge base issues. The IGENPRO approach is to structure the knowledge bases on generic thermal-hydraulic (T-H) first principles and not use the conventional event-basis structure. This allows for generic comprehensive knowledge, relatively small knowledge bases and above all the possibility of T-H system/plant independence. To demonstrate concept feasibility the knowledge structure has been implemented in the diagnostic module PRODIAG. Promising laboratory testing results have been obtained using data from the full scope Braidwood PWR operator training simulator. This knowledge structure is now being implemented in the transient management module PROMANA to treat unanticipated events and the PROTREN module is being developed to process actual plant data. Achievement of the IGENPRO R ampersand D goals should contribute to the acceptance of knowledge-based digital systems for transient diagnostics and management

  19. A Reasoning Algorithm Embedded in a Knowledge Management System

    Directory of Open Access Journals (Sweden)

    Vasile Mazilescu

    2015-09-01

    Full Text Available The importance of this paper consists of demonstrating the possibility of employing an expert Knowledge Management System (KMS in problems of process control and planning, using imprecise knowledge. It was necessary to continuously adapt known models (e.g. theory of possibilities, discrete event systems to synthesize a control structure based on fuzzy knowledge. We also tried to conceptually develop a multi-agent real control structure, which is a solution to meet a series of demands on the complexity of the process control. Such systems, especially those based on communication between agents by sharing memory, bring up features well suited for real-time applications, such as: integration of heterogeneous agents, interaction between activities of acquisition, reasoning and action on the external environment, fusion of data coming from sensors of different nature and operation, flexibility and efficiency in the integration of new data needed for reasoning, by simply writing them in the common memory.

  20. The analysis phase in development of knowledge-based systems

    International Nuclear Information System (INIS)

    Brooking, A.G.

    1986-01-01

    Over the past twenty years computer scientists have realized that, in order to produce reliable software that is easily modifiable, a proven methodology is required. Unlike conventional systems there is little knowledge of the life cycle of these knowledge-based systems. However, if the life cycle of conventional systems, it is not unreasonable to assume that analysis will come first. With respect to the analysis task there is an enormous difference in types of analysis. Conventional systems analysis is predominately concerned with what happens within the system. Typically, procedures will be noted in the way they relate to each other, the way data moves and changes within the system. There is often an example, on paper or machine, that can be observed

  1. Young Children's Knowledge About the Moon: A Complex Dynamic System

    Science.gov (United States)

    Venville, Grady J.; Louisell, Robert D.; Wilhelm, Jennifer A.

    2012-08-01

    The purpose of this research was to use a multidimensional theoretical framework to examine young children's knowledge about the Moon. The research was conducted in the interpretive paradigm and the design was a multiple case study of ten children between the ages of three and eight from the USA and Australia. A detailed, semi-structured interview was conducted with each child. In addition, each child's parents were interviewed to determine possible social and cultural influences on the child's knowledge. We sought evidence about how the social and cultural experiences of the children might have influenced the development of their ideas. From a cognitive perspective we were interested in whether the children's ideas were constructed in a theory like form or whether the knowledge was the result of gradual accumulation of fragments of isolated cultural information. Findings reflected the strong and complex relationship between individual children, their social and cultural milieu, and the way they construct ideas about the Moon and astronomy. Findings are presented around four themes including ontology, creatures and artefacts, animism, and permanence. The findings support a complex dynamic system view of students' knowledge that integrates the framework theory perspective and the knowledge in fragments perspective. An initial model of a complex dynamic system of young children's knowledge about the Moon is presented.

  2. KnowLife: a versatile approach for constructing a large knowledge graph for biomedical sciences.

    Science.gov (United States)

    Ernst, Patrick; Siu, Amy; Weikum, Gerhard

    2015-05-14

    Biomedical knowledge bases (KB's) have become important assets in life sciences. Prior work on KB construction has three major limitations. First, most biomedical KBs are manually built and curated, and cannot keep up with the rate at which new findings are published. Second, for automatic information extraction (IE), the text genre of choice has been scientific publications, neglecting sources like health portals and online communities. Third, most prior work on IE has focused on the molecular level or chemogenomics only, like protein-protein interactions or gene-drug relationships, or solely address highly specific topics such as drug effects. We address these three limitations by a versatile and scalable approach to automatic KB construction. Using a small number of seed facts for distant supervision of pattern-based extraction, we harvest a huge number of facts in an automated manner without requiring any explicit training. We extend previous techniques for pattern-based IE with confidence statistics, and we combine this recall-oriented stage with logical reasoning for consistency constraint checking to achieve high precision. To our knowledge, this is the first method that uses consistency checking for biomedical relations. Our approach can be easily extended to incorporate additional relations and constraints. We ran extensive experiments not only for scientific publications, but also for encyclopedic health portals and online communities, creating different KB's based on different configurations. We assess the size and quality of each KB, in terms of number of facts and precision. The best configured KB, KnowLife, contains more than 500,000 facts at a precision of 93% for 13 relations covering genes, organs, diseases, symptoms, treatments, as well as environmental and lifestyle risk factors. KnowLife is a large knowledge base for health and life sciences, automatically constructed from different Web sources. As a unique feature, KnowLife is harvested from

  3. Knowledge based operation assist system for JAERI AVF cyclotron

    International Nuclear Information System (INIS)

    Agematsu, T.; Okumura, S.; Yokota, W.; Arakawa, K.; Murakami, T.; Okamura, T.

    1992-01-01

    We have developed two operation assist systems for easy and rapid operation of the JAERI AVF cyclotron. One is a knowledge based expert system guiding the sequence of parameter adjustment to inexperienced cyclotron operators. The other is a real-time simulation of the beam trajectories which are calculated from actual operating parameters. It graphically indicates feasible setting range of parameters that satisfies the acceptance of the cyclotron. These systems provide a human interface to adjust the parameters of the cyclotron. (author)

  4. Consultation system with knowledge representation by decision rules

    Energy Technology Data Exchange (ETDEWEB)

    Senne, E L.F.; Simoni, P O

    1982-04-01

    The use of decision rules in the representation of empirical knowledge supplied by application domain experts is discussed. Based on this representation, a system is described which employs artificial intelligence techniques to yield inferences within a specific domain. Three modules composing the system are described: the acquisition one, that allows the insertion of new rules; the diagnostic one, that uses rules in the inference process; and the explanation one, that exhibits reasons for each system action.

  5. USE OF ONTOLOGIES FOR KNOWLEDGE BASES CREATION TUTORING COMPUTER SYSTEMS

    OpenAIRE

    Cheremisina Lyubov

    2014-01-01

    This paper deals with the use of ontology for the use and development of intelligent tutoring systems. We consider the shortcomings of educational software and distance learning systems and the advantages of using ontology’s in their design. Actuality creates educational computer systems based on systematic knowledge. We consider classification of properties, use and benefits of ontology’s. Characterized approaches to the problem of ontology mapping, the first of which – manual mapping, the s...

  6. Fire extinguishing system in large underground garages

    Directory of Open Access Journals (Sweden)

    Ivan Antonov

    2017-04-01

    Full Text Available In the work is considered an acceptable constructive scheme from a practical point of view at fire extinguishing in underground garages. The garage space is divided into quadrants which covering, for example, 2 cars. In case of ignition on one of them, a sprinkler nozzle system is triggered by the effect of the vertical convective jet. A protective curtain preventing the spread of fire to adjacent vehicles is realized. The solution is based on an integrated method which allows the calculation from hydrodynamic point of view on extinguishing time of the fire extinguishing system.

  7. Toward a Phase-Model of Global Knowledge Management Systems in Multinational Corporations

    DEFF Research Database (Denmark)

    Nielsen, Bo Bernhard; Michailova, Snejina

    2004-01-01

    According to Heinrich v. Pierer, CEO at Siemens, `an e-business year is only three months long. Ifyou want to be a leader in this fast-paced world, you must be faster than the others. Just being onboard is by far not enough'. The ability to be faster than others, however, is only relevant...... if it islinked to management of key assets in the pursuit of continuous competitive advantage. The keyasset of the present is knowledge and in the future it is likely to be continuous and timelyinnovation based on effective management of knowledge assets. Most firms today, however, lack aneffective Knowledge......-outperform competition and becomeleaders of the e-conomy'. Using examples from a number of large multinational companies thispaper proposes a phase model for the development of a global Knowledge Management Systemwith attention to pertinent policy and management issues in each stage.Keywords: Knowledge management system...

  8. The Design of Large Technological Systems

    DEFF Research Database (Denmark)

    Pineda, Andres Felipe Valderrama

    implies a reconfiguration of the designing team, the supporting actors and the diverse user groups. By tracing material scripts, the author accounts for the unfolding of visions, politics and materialities that constitute the system. The analysis contributes to understanding the complex sociotechnical...

  9. Automatic management software for large-scale cluster system

    International Nuclear Information System (INIS)

    Weng Yunjian; Chinese Academy of Sciences, Beijing; Sun Gongxing

    2007-01-01

    At present, the large-scale cluster system faces to the difficult management. For example the manager has large work load. It needs to cost much time on the management and the maintenance of large-scale cluster system. The nodes in large-scale cluster system are very easy to be chaotic. Thousands of nodes are put in big rooms so that some managers are very easy to make the confusion with machines. How do effectively carry on accurate management under the large-scale cluster system? The article introduces ELFms in the large-scale cluster system. Furthermore, it is proposed to realize the large-scale cluster system automatic management. (authors)

  10. A knowledge-based system for prototypical reasoning

    Science.gov (United States)

    Lieto, Antonio; Minieri, Andrea; Piana, Alberto; Radicioni, Daniele P.

    2015-04-01

    In this work we present a knowledge-based system equipped with a hybrid, cognitively inspired architecture for the representation of conceptual information. The proposed system aims at extending the classical representational and reasoning capabilities of the ontology-based frameworks towards the realm of the prototype theory. It is based on a hybrid knowledge base, composed of a classical symbolic component (grounded on a formal ontology) with a typicality based one (grounded on the conceptual spaces framework). The resulting system attempts to reconcile the heterogeneous approach to the concepts in Cognitive Science with the dual process theories of reasoning and rationality. The system has been experimentally assessed in a conceptual categorisation task where common sense linguistic descriptions were given in input, and the corresponding target concepts had to be identified. The results show that the proposed solution substantially extends the representational and reasoning 'conceptual' capabilities of standard ontology-based systems.

  11. Dissemination of Knowledge about NPP Instrumentation and Control Systems

    International Nuclear Information System (INIS)

    Yastrebenetsky, M.

    2016-01-01

    Full text: Instrumentation and control (I&C) systems are the most variable part in the nuclear power plants (NPP) comparatively with any other NPP systems. This statement is connected with the wide use of computers, rapid changes in information technologies, with the appearance of new computer complex electronic components, e.g., field programmable gate arrays (FPGA) and with appropriate point of their insertion into NPP I&C life cycle. The changes in NPP I&C systems require the dissemination of the knowledge about these systems. Lessons after Fukushima accident increase necessity of these actions. The elaboration and following dissemination of this knowledge took place in different directions: • Writing and issue of three new books about NPP I&C systems for specialists and for students which were issued in Ukrainian and USA public houses (the last book was issued in 2014); • Organization of five international scientific technical conferences, devoted to NPP I&C safety problems; • Elaboration of national (Ukrainian) standards and regulations pertaining to safety important NPP I&C systems (the last standard was issued in 2015) and participation in elaboration of international standards; • Lecturing for university students, NPP specialists and I&C designers. These actions in all directions are added to IAEA activity in the area NPP I&C systems (e.g., IAEA NP-T-3.12 “Core Knowledge on I&C systems in NPP”). (author

  12. Knowledge Loss: Managing Local Knowledge in Rural Uzbekistan

    OpenAIRE

    Wall, Caleb; Evers, Hans-Dieter

    2006-01-01

    Knowledge loss is not a remote phenomenon, unique to one knowledge system. Rather we argue that the loss of knowledge is an issue for other knowledge systems as well. Knowledge loss is certainly a concern for anthropologists working on indigenous knowledge, fearful of ‘losing’ indigenous knowledge entirely as a result of modernisation (cf. Cox, 2000). Equally, staff movements within the corporate world probably lead to a large amount of knowledge displacement, yet staff (and thus knowledge) r...

  13. Iterative solution of large linear systems

    CERN Document Server

    Young, David Matheson

    1971-01-01

    This self-contained treatment offers a systematic development of the theory of iterative methods. Its focal point resides in an analysis of the convergence properties of the successive overrelaxation (SOR) method, as applied to a linear system with a consistently ordered matrix. The text explores the convergence properties of the SOR method and related techniques in terms of the spectral radii of the associated matrices as well as in terms of certain matrix norms. Contents include a review of matrix theory and general properties of iterative methods; SOR method and stationary modified SOR meth

  14. Agrosilvopastoral Systems in Northern Thailand and Northern Laos: Minority Peoples’ Knowledge versus Government Policy

    Directory of Open Access Journals (Sweden)

    Chalathon Choocharoen

    2014-05-01

    Full Text Available Traditional agrosilvopastoral systems have been an important component of the farming systems and livelihoods of thousands of ethnic minority people in the uplands of Mainland Southeast Asia. Drawing on a combination of qualitative and participatory inquiries in nine ethnic minority communities, this study emphasizes the complex articulation of local farmers’ knowledge which has been so far excluded from governmental development and conservation policies in the northern uplands of Thailand and Laos. Qualitative analysis of local knowledge systems is performed using the Agroecological Knowledge Toolkit (AKT5 software. Results show that ethnic minorities in the two countries perceive large ruminants to be a highly positive component of local forest agro-ecosystems due to their contribution to nutrient cycling, forest fire control, water retention, and leaf-litter dispersal. The knowledge and perceptions of agrosilvopastoral farmers are then contrasted with the remarkably different forestry policy frameworks of the two countries. We find that the knowledge and diversity of practices exercised by ethnic minority groups contrasts with the current simplified and negative image that government officials tend to construct of agrosilvopastoral systems. We conclude that local knowledge of forest-livestock systems can offer alternative or complementary explanations on ecological cause-and-effect relationships which may need further scientific investigation and validation.

  15. Large computer systems and new architectures

    International Nuclear Information System (INIS)

    Bloch, T.

    1978-01-01

    The super-computers of today are becoming quite specialized and one can no longer expect to get all the state-of-the-art software and hardware facilities in one package. In order to achieve faster and faster computing it is necessary to experiment with new architectures, and the cost of developing each experimental architecture into a general-purpose computer system is too high when one considers the relatively small market for these computers. The result is that such computers are becoming 'back-ends' either to special systems (BSP, DAP) or to anything (CRAY-1). Architecturally the CRAY-1 is the most attractive today since it guarantees a speed gain of a factor of two over a CDC 7600 thus allowing us to regard any speed up resulting from vectorization as a bonus. It looks, however, as if it will be very difficult to make substantially faster computers using only pipe-lining techniques and that it will be necessary to explore multiple processors working on the same problem. The experience which will be gained with the BSP and the DAP over the next few years will certainly be most valuable in this respect. (Auth.)

  16. Knowledge Organisation Systems in North American Digital Library Collections

    Science.gov (United States)

    Shiri, Ali; Chase-Kruszewski, Sarah

    2009-01-01

    Purpose: The purpose of this paper is to report an investigation into the types of knowledge organisation systems (KOSs) utilised in North American digital library collections. Design/methodology/approach: The paper identifies, analyses and deep scans online North American hosted digital libraries. It reviews the literature related to the…

  17. Indigenous knowledge systems, local community and community in ...

    African Journals Online (AJOL)

    The title of the paper requires some brief reflection on the main topics implied. It is appropriate to start off with a definition of Indigenous Knowledge Systems (IKS) as well as a statement regarding the constitutional status of a community. Thereafter I will expand on the merits of IKS towards community development as well as ...

  18. Training Sessions Provide Working Knowledge of National Animal Identification System

    Science.gov (United States)

    Glaze, J. Benton, Jr.; Ahola, Jason K.

    2010-01-01

    One in-service and two train-the-trainer workshops were conducted by University of Idaho Extension faculty, Idaho State Department of Agriculture personnel, and allied industry representatives to increase Extension educators' knowledge and awareness of the National Animal Identification System (NAIS) and related topics. Training sessions included…

  19. Deming's System of Profound Knowledge: An Overview for International Educators.

    Science.gov (United States)

    Evans, Thomas J.

    W. Edwards Deming called for the transformation to a new style of organizational management based on greater cooperation between managers and employees. This transformation could be achieved by introducing "profound knowledge" into the system. This paper is a presentation outline that was used to introduce the basics of Deming's theory…

  20. Structural design systems using knowledge-based techniques

    International Nuclear Information System (INIS)

    Orsborn, K.

    1993-01-01

    Engineering information management and the corresponding information systems are of a strategic importance for industrial enterprises. This thesis treats the interdisciplinary field of designing computing systems for structural design and analysis using knowledge-based techniques. Specific conceptual models have been designed for representing the structure and the process of objects and activities in a structural design and analysis domain. In this thesis, it is shown how domain knowledge can be structured along several classification principles in order to reduce complexity and increase flexibility. By increasing the conceptual level of the problem description and representation of the domain knowledge in a declarative form, it is possible to enhance the development, maintenance and use of software for mechanical engineering. This will result in a corresponding increase of the efficiency of the mechanical engineering design process. These ideas together with the rule-based control point out the leverage of declarative knowledge representation within this domain. Used appropriately, a declarative knowledge representation preserves information better, is more problem-oriented and change-tolerant than procedural representations. 74 refs

  1. Performance regression manager for large scale systems

    Science.gov (United States)

    Faraj, Daniel A.

    2017-08-01

    System and computer program product to perform an operation comprising generating, based on a first output generated by a first execution instance of a command, a first output file specifying a value of at least one performance metric, wherein the first output file is formatted according to a predefined format, comparing the value of the at least one performance metric in the first output file to a value of the performance metric in a second output file, the second output file having been generated based on a second output generated by a second execution instance of the command, and outputting for display an indication of a result of the comparison of the value of the at least one performance metric of the first output file to the value of the at least one performance metric of the second output file.

  2. Magmatic systems of large continental igneous provinces

    Directory of Open Access Journals (Sweden)

    E. Sharkov

    2017-07-01

    Full Text Available Large igneous provinces (LIPs formed by mantle superplume events have irreversibly changed their composition in the geological evolution of the Earth from high-Mg melts (during Archean and early Paleoproterozoic to Phanerozoic-type geochemically enriched Fe-Ti basalts and picrites at 2.3 Ga. We propose that this upheaval could be related to the change in the source and nature of the mantle superplumes of different generations. The first generation plumes were derived from the depleted mantle, whereas the second generation (thermochemical originated from the core-mantle boundary (CMB. This study mainly focuses on the second (Phanerozoic type of LIPs, as exemplified by the mid-Paleoproterozoic Jatulian–Ludicovian LIP in the Fennoscandian Shield, the Permian–Triassic Siberian LIP, and the late Cenozoic flood basalts of Syria. The latter LIP contains mantle xenoliths represented by green and black series. These xenoliths are fragments of cooled upper margins of the mantle plume heads, above zones of adiabatic melting, and provide information about composition of the plume material and processes in the plume head. Based on the previous studies on the composition of the mantle xenoliths in within-plate basalts around the world, it is inferred that the heads of the mantle (thermochemical plumes are made up of moderately depleted spinel peridotites (mainly lherzolites and geochemically-enriched intergranular fluid/melt. Further, it is presumed that the plume heads intrude the mafic lower crust and reach up to the bottom of the upper crust at depths ∼20 km. The generation of two major types of mantle-derived magmas (alkali and tholeiitic basalts was previously attributed to the processes related to different PT-parameters in the adiabatic melting zone whereas this study relates to the fluid regime in the plume heads. It is also suggested that a newly-formed melt can occur on different sides of a critical plane of silica undersaturation and can

  3. Balancing modern Power System with large scale of wind power

    DEFF Research Database (Denmark)

    Basit, Abdul; Altin, Müfit; Hansen, Anca Daniela

    2014-01-01

    Power system operators must ensure robust, secure and reliable power system operation even with a large scale integration of wind power. Electricity generated from the intermittent wind in large propor-tion may impact on the control of power system balance and thus deviations in the power system...... frequency in small or islanded power systems or tie line power flows in interconnected power systems. Therefore, the large scale integration of wind power into the power system strongly concerns the secure and stable grid operation. To ensure the stable power system operation, the evolving power system has...... to be analysed with improved analytical tools and techniques. This paper proposes techniques for the active power balance control in future power systems with the large scale wind power integration, where power balancing model provides the hour-ahead dispatch plan with reduced planning horizon and the real time...

  4. Building HVAC control knowledge data schema – Towards a unified representation of control system knowledge

    Energy Technology Data Exchange (ETDEWEB)

    Chen, Yan; Treado, Stephen J.; Messner, John I.

    2016-12-01

    Building control systems for Heating, Ventilation, and Air Conditioning (HVAC) play a key role in realizing the functionality and operation of building systems and components. Building Control Knowledge (BCK) is the logic and algorithms embedded throughout building control system. There are different methods to represent the BCK. These methods differ in the selection of BCK representing elements and the format of those elements. There is a lack of standard data schema, for storing, retrieving, and reusing structured BCK. In this study, a modular data schema is created for BCK representation. The data schema contains eleven representing elements, i.e., control module name, operation mode, system schematic, control flow diagram, data point, alarm, parameter, control sequence, function, and programming code. Each element is defined with specific attributes. This data schema is evaluated through a case study demonstration. The demonstration shows a new way to represent the BCK with standard formats.

  5. Improved semantic interoperability for content reuse through knowledge organization systems

    Directory of Open Access Journals (Sweden)

    José Antonio Moreiro González

    2012-04-01

    Full Text Available The Knowledge Organization Systems (KOS are resources designed to improve the knowledge interoperability, management and retrieval. As increases the web resources, it’s evidenced the lack of KOS, with the consequent impact in the resources interoperability. The KOSS are, by definition, complicated and costly tools, so much in his creation as in his management. The reuse of similar organizational structures is a necessary element in this context. They analyses experiences of reuse of The KOS and signals like the new standards are impinged on this appearance.

  6. Leveraging medical taxonomies to improve knowledge management within online communities of practice: The knowledge maps system.

    Science.gov (United States)

    Stewart, Samuel Alan; Abidi, Syed Sibte Raza

    2017-05-01

    Online communities of practice contain a wealth of information, stored in the free text of shared communications between community members. The Knowledge Maps (KMaps) system is designed to facilitate Knowledge Translation in online communities through multi-level analyses of the shared messages of these communications. Using state-of-the-art semantic mapping technologies (Metamap) the contents of the messages shared within an online community are mapped to terms from the MeSH medical lexicon, providing a multi-level topic-specific summary of the knowledge being shared within the community. Using the inherent hierarchical structure of the lexicon important insights can be found within the community. The KMaps system was applied to two medical mailing lists, the PPML (archives from 2009-02 to 2013-02) and SURGINET (archives from 2012-01 to 2013-04), identifying 27,924 and 50,597 medical terms respectively. KMaps identified content areas where both communities found interest, specifically around Diseases, 22% and 24% of the total terms, while also identifying field-specific areas that were more popular: SURGINET expressed an interest in Anatomy (14% vs 4%) while the PPML was more interested in Drugs (19% vs 9%). At the level of the individual KMaps identified 6 PPML users and 9 SURGINET users that had noticeably more contributions to the community than their peers, and investigated their personal areas of interest. The KMaps system provides valuable insights into the structure of both communities, identifying topics of interest/shared content areas and defining content-profiles for individual community members. The system provides a valuable addition to the online KT process. Copyright © 2017 Elsevier B.V. All rights reserved.

  7. The impact of a unique knowledge translation programme implemented in a large multisite paediatric hospital.

    Science.gov (United States)

    Christensen, Catie; Wessells, David; Byars, Michelle; Marrie, James; Coffman, Shaun; Gates, Erin; Selhorst, Mitch

    2017-04-01

    Physical therapists (PTs) display positive attitudes toward evidence-based practice (EBP), and implementing it can improve patient outcomes and reduce costs. However, barriers can lead to inconsistent use of EBP. The objectives of this manuscript are to (i) describe the initiation and revisions to a knowledge translation (KT) programme, (ii) assess staff participation in KT, and (iii) evaluate availability, internal use and external dissemination of evidence-based recommendations and research. The KT programme was implemented in a large paediatric hospital employing 66 PTs who provide services in the inpatient, outpatient developmental and sports and orthopaedics settings in 15 locations. The KT programme was initiated 9 years ago but underwent improvements over the past 3 years. Five key revisions included the subdivision of the EBP and Research Coordinator positions by area of practice, increasing the structure of the KT programme, implementing strategies to encourage use of local recommendations, obtaining leadership support to emphasize KT and providing staff education. With the revisions, staff participation in local recommendation development increased from 16.3-68.2%. Research involvement increased from 4.1-50%. The number of local recommendations increased from 1 to 9, and an overall compliance rate of 79% was achieved for the recommendations presented in an algorithm format. External dissemination increased from 1 to 44 for presentations and 0 to 7 for publications. Revisions to a KT programme improved PT engagement in KT activities, increased the availability of local recommendations, encouraged use of EBP and increased external dissemination of information. © 2016 John Wiley & Sons, Ltd.

  8. A knowledge-based system for fluidization studies

    Energy Technology Data Exchange (ETDEWEB)

    1990-04-01

    Chemical engineers depend on process simulation models to determine optimal'' plant configurations which are technically feasible and economically viable. This research was undertaken to develop a comprehensive knowledge based simulation environment IPSE (Intelligent Process Simulation Environment) that can enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant during all phases of process simulation involving fossil energy processes. In summary, the goals of this research are: application of knowledge-based techniques to the process modeling domain for enhancement of productivity; archiving and distribution of the knowledge of the best experts of process modeling; cross-model inference assistance to modelers not familiar with the process; and development of IPSE to serve as an intelligent tutoring system for process simulation. 18 figs.

  9. A System Theoretical Inspired Approach to Knowledge Construction

    DEFF Research Database (Denmark)

    Mathiasen, Helle

    2008-01-01

    student's knowledge construction, in the light of operative constructivism, inspired by the German sociologist N. Luhmann's system theoretical approach to epistemology. Taking observations as operations based on distinction and indication (selection) contingency becomes a fundamental condition in learning......  Abstract The aim of this paper is to discuss the relation between teaching and learning. The point of departure is that teaching environments (communication forums) is a potential facilitator for learning processes and knowledge construction. The paper present a theoretical frame work, to discuss...... processes, and a condition which teaching must address as far as teaching strives to stimulate non-random learning outcomes. Thus learning outcomes understood as the individual learner's knowledge construction cannot be directly predicted from events and characteristics in the environment. This has...

  10. Design of Knowledge Management System for Diabetic Complication Diseases

    Science.gov (United States)

    Fiarni, Cut

    2017-01-01

    This paper examines how to develop a Model for Knowledge Management System (KMS) for diabetes complication diseases. People with diabetes have a higher risk of developing a series of serious health problems. Each patient has different condition that could lead to different disease and health problem. But, with the right information, patient could have early detection so the health risk could be minimized and avoided. Hence, the objective of this research is to propose a conceptual framework that integrates social network model, Knowledge Management activities, and content based reasoning (CBR) for designing such a diabetes health and complication disease KMS. The framework indicates that the critical knowledge management activities are in the process to find similar case and the index table for algorithm to fit the framework for the social media. With this framework, KMS developers can work with healthcare provider to easily identify the suitable IT associated with the CBR process when developing a diabetes KMS.

  11. Improving knowledge management systems with latent semantic analysis

    International Nuclear Information System (INIS)

    Sebok, A.; Plott, C.; LaVoie, N.

    2006-01-01

    Latent Semantic Analysis (LSA) offers a technique for improving lessons learned and knowledge management systems. These systems are expected to become more widely used in the nuclear industry, as experienced personnel leave and are replaced by younger, less-experienced workers. LSA is a machine learning technology that allows searching of text based on meaning rather than predefined keywords or categories. Users can enter and retrieve data using their own words, rather than relying on constrained language lists or navigating an artificially structured database. LSA-based tools can greatly enhance the usability and usefulness of knowledge management systems and thus provide a valuable tool to assist nuclear industry personnel in gathering and transferring worker expertise. (authors)

  12. Knowledge-based system for flight information management. Thesis

    Science.gov (United States)

    Ricks, Wendell R.

    1990-01-01

    The use of knowledge-based system (KBS) architectures to manage information on the primary flight display (PFD) of commercial aircraft is described. The PFD information management strategy used tailored the information on the PFD to the tasks the pilot performed. The KBS design and implementation of the task-tailored PFD information management application is described. The knowledge acquisition and subsequent system design of a flight-phase-detection KBS is also described. The flight-phase output of this KBS was used as input to the task-tailored PFD information management KBS. The implementation and integration of this KBS with existing aircraft systems and the other KBS is described. The flight tests are examined of both KBS's, collectively called the Task-Tailored Flight Information Manager (TTFIM), which verified their implementation and integration, and validated the software engineering advantages of the KBS approach in an operational environment.

  13. Large system change challenges: addressing complex critical issues in linked physical and social domains

    Science.gov (United States)

    Waddell, Steve; Cornell, Sarah; Hsueh, Joe; Ozer, Ceren; McLachlan, Milla; Birney, Anna

    2015-04-01

    Most action to address contemporary complex challenges, including the urgent issues of global sustainability, occurs piecemeal and without meaningful guidance from leading complex change knowledge and methods. The potential benefit of using such knowledge is greater efficacy of effort and investment. However, this knowledge and its associated tools and methods are under-utilized because understanding about them is low, fragmented between diverse knowledge traditions, and often requires shifts in mindsets and skills from expert-led to participant-based action. We have been engaged in diverse action-oriented research efforts in Large System Change for sustainability. For us, "large" systems can be characterized as large-scale systems - up to global - with many components, of many kinds (physical, biological, institutional, cultural/conceptual), operating at multiple levels, driven by multiple forces, and presenting major challenges for people involved. We see change of such systems as complex challenges, in contrast with simple or complicated problems, or chaotic situations. In other words, issues and sub-systems have unclear boundaries, interact with each other, and are often contradictory; dynamics are non-linear; issues are not "controllable", and "solutions" are "emergent" and often paradoxical. Since choices are opportunity-, power- and value-driven, these social, institutional and cultural factors need to be made explicit in any actionable theory of change. Our emerging network is sharing and building a knowledge base of experience, heuristics, and theories of change from multiple disciplines and practice domains. We will present our views on focal issues for the development of the field of large system change, which include processes of goal-setting and alignment; leverage of systemic transitions and transformation; and the role of choice in influencing critical change processes, when only some sub-systems or levels of the system behave in purposeful ways

  14. MANAGEMENT SYSTEM OF KNOWLEDGE WORKERS IN THE CONTEMPORARY ENTERPRISE

    Directory of Open Access Journals (Sweden)

    Michał Igielski

    2016-12-01

    Full Text Available Changes in the twenty-first century are faster and appear unexpectedly. They are not always necessary for the smooth functioning of the company. This is the domain of globalization, where new events - opportunities or threats are challenging the viability against which the questions are now all companies. More and more depends on the intangible assets of the undertaking, its strategic potential. Therefore Przedsiębiorsto creates and develops skills which then turns on competence. It is ond become the basis for competitiveness. The main determinant in this process is not only optimal, but the skillful management of intellectual capital. Its importance in recent years is constantly increasing, and the success of the market determines the joint commitment of all organizational units. Certain types of work require to the larger amount of knowledge, experience and independent thinking, and custom than others. For all employers, it is important to recognize these differences and create a new management principles ketegorią professionals who have knowledge useful for the enterprise - are knowledge workers. Therefore, the purpose of this article is an attempt to show management knowledge workers in modern companies, based on tests carried out in the years 2013 - 2015, in 100 large companies operating in the Baltic Sea Region

  15. An advanced dispatching technology for large container inspection system

    International Nuclear Information System (INIS)

    Chen Zhiqiang; Zhang Li; Kang Kejun; Gao Wenhuan

    2001-01-01

    The author describes the transmitting and dispatching technology of large container inspection system. It introduces the structure of the double buffer graded pipe lining used in the system. Strategies of queue mechanism and waiting dispatch policy are illustrated

  16. Business systems for knowledge management in the NGL industry

    International Nuclear Information System (INIS)

    Remmington, S.

    1999-01-01

    Effective knowledge management involves a complex blend of culture, structure, process and technology. Traditional organization structures, processes and systems cannot deal with the new volume and velocity of information. Separate functional departments such as marketing, operations, logistics and accounting typically have separate functional systems or modules. These separate structures and systems create islands of information and barriers to effective knowledge management. New cross-functional structures, processes and systems offer a fundamentally different approach. Cross-functional systems support marketing, operations, logistics and accounting activities from a single, shared data repository. Unlike separate systems, or even integrated modular systems, each data element is stored once and only once. All information is available to the entire organization in near real time as soon as it is captured. These types of systems can support various organizational structures and processes, including cross-functional teams. Change is not easy, but organizations that act on this opportunity early will gain a significant competitive advantage. Those that do not change quickly enough are unlikely to survive

  17. Deploying a knowledge management system for well construction

    Energy Technology Data Exchange (ETDEWEB)

    Graham, Stephen; Soffried, Klaus; Sousa, Tadeu V. de; Tatro, Matt [Landmark Graphics, Houston, TX (United States); Rocha, Luiz A. [PETROBRAS, Rio de Janeiro, RJ (Brazil)

    2004-07-01

    The overall E and P workforce is rapidly aging since companies have been recruiting fewer and fewer new hires. Should such trends continue, we could lose more than half of our current knowledge workers over the next five to seven years as J. W. Gibson pointed out in his article in World Energy. One obvious remedy is to start recruiting more staff, but as older people retire and younger people enter the company, the workforce will become increasingly dominated by inexperienced professionals. Without implementation of an effective knowledge management system, the industry will likely incur costly mistakes in the future. This paper will highlight an advanced software-based solution being designed to successfully offset this continuous drain of intellectual capital to achieve 'Excellence in Drilling'. The solutions concept includes the deployment of an advanced, user-friendly workflow management system within a web-based portal environment to support both well planning and operations. The system provides capabilities for remote access to databases, data input forms, software applications, best practices, lessons learned, technical references, and experts, all within the context of user configurable workflow maps. The integrated system will enable asset teams to work more effectively together and become 'learning organizations' by taking full advantage of the knowledge gained on previous wells during the design of new wells. (author)

  18. Development of a component centered fault monitoring and diagnosis knowledge based system for space power system

    Science.gov (United States)

    Lee, S. C.; Lollar, Louis F.

    1988-01-01

    The overall approach currently being taken in the development of AMPERES (Autonomously Managed Power System Extendable Real-time Expert System), a knowledge-based expert system for fault monitoring and diagnosis of space power systems, is discussed. The system architecture, knowledge representation, and fault monitoring and diagnosis strategy are examined. A 'component-centered' approach developed in this project is described. Critical issues requiring further study are identified.

  19. 6th International Conference on Knowledge and Systems Engineering

    CERN Document Server

    Le, Anh-Cuong; Huynh, Van-Nam

    2015-01-01

    This volume contains papers presented at the Sixth International Conference on Knowledge and Systems Engineering (KSE 2014), which was held in Hanoi, Vietnam, during 9–11 October, 2014. The conference was organized by the University of Engineering and Technology, Vietnam National University, Hanoi. Besides the main track of contributed papers, this proceedings  feature the results of four special sessions focusing on specific topics of interest and three invited keynote speeches. The book gathers a total of 51 carefully reviewed papers describing recent advances and development on various topics including knowledge discovery and data mining, natural language processing, expert systems, intelligent decision making, computational biology, computational modeling, optimization algorithms, and industrial applications.

  20. Needs, opportunities, and options for large scale systems research

    Energy Technology Data Exchange (ETDEWEB)

    Thompson, G.L.

    1984-10-01

    The Office of Energy Research was recently asked to perform a study of Large Scale Systems in order to facilitate the development of a true large systems theory. It was decided to ask experts in the fields of electrical engineering, chemical engineering and manufacturing/operations research for their ideas concerning large scale systems research. The author was asked to distribute a questionnaire among these experts to find out their opinions concerning recent accomplishments and future research directions in large scale systems research. He was also requested to convene a conference which included three experts in each area as panel members to discuss the general area of large scale systems research. The conference was held on March 26--27, 1984 in Pittsburgh with nine panel members, and 15 other attendees. The present report is a summary of the ideas presented and the recommendations proposed by the attendees.

  1. Power quality load management for large spacecraft electrical power systems

    Science.gov (United States)

    Lollar, Louis F.

    1988-01-01

    In December, 1986, a Center Director's Discretionary Fund (CDDF) proposal was granted to study power system control techniques in large space electrical power systems. Presented are the accomplishments in the area of power system control by power quality load management. In addition, information concerning the distortion problems in a 20 kHz ac power system is presented.

  2. Knowledge Management System Untuk SDM Menggunakan Seci Model (Studi Kasus: Koperasi Karyawan

    Directory of Open Access Journals (Sweden)

    Eva Zuraidah

    2018-04-01

    Full Text Available Abstrak Koperasi Pegawai Badan Urusan Logistik adalah sebuah Koperasi yang bergerak dalam bidang jasa, simpan-pinjam. Knowledge Managment System tersebut, nampaknya sudah menjadi suatu kebutuhan mendasarkan untuk meningkatkan kualitas sumber daya manusia yang khususnya kepada karyawan. Knowledge management merupakan usaha untuk meningkatkan knowledge yang berguna dalam koperasi. Knowledge management tidak hanya merupakan pengaturan akan knowldge, namun lebih pada manajemen suatu koperasi dengan fokus khususnya terhadap knowledge, knowledge management dengan sebuah sistem, yang diharapkan dapat menjadi solusi dari kebutuhan aliran knowledge yang tidak dihalangi oleh batasan waktu dan tempat. Penelitian ini akan mengembangkan analisa knowledge management system dan merancang aplikasi dari analisa yang dikembangkan. Metodologi yang digunakan dengan model SECI dan melakukan analisa untuk mendapatkan knowledge management system tersebut. Analisa knowledge management system yang dihasilkan mendukung proses Sosialisasi, Eksternalisasi, Kombinasi, Internalisasi (SECI. Knowledge management system ini dikembangkan sebagai sarana sharing pada karyawan. Kata kunci: Knowledge Management System,SECI, Koperasi,SDM Abstract Employee Cooperative Agency of Logistics Affairs is a cooperative engaged in services, savings, and loans. Knowledge Managment System, it seems to have become a basic need to improve the quality of human resources, especially to employees. Knowledge management is an attempt to improve knowledge useful in cooperatives. Knowledge management is not only an arrangement of knowledge but rather the management of a cooperative with a particular focus on knowledge, knowledge management with a system, which is expected to be a solution of the needs of the flow of knowledge that is not hindered by time and space constraints. This research will develop the knowledge management system and design the application of the developed analysis. The methodology

  3. Compiling knowledge-based systems from KEE to Ada

    Science.gov (United States)

    Filman, Robert E.; Bock, Conrad; Feldman, Roy

    1990-01-01

    The dominant technology for developing AI applications is to work in a multi-mechanism, integrated, knowledge-based system (KBS) development environment. Unfortunately, systems developed in such environments are inappropriate for delivering many applications - most importantly, they carry the baggage of the entire Lisp environment and are not written in conventional languages. One resolution of this problem would be to compile applications from complex environments to conventional languages. Here the first efforts to develop a system for compiling KBS developed in KEE to Ada (trademark). This system is called KATYDID, for KEE/Ada Translation Yields Development Into Delivery. KATYDID includes early prototypes of a run-time KEE core (object-structure) library module for Ada, and translation mechanisms for knowledge structures, rules, and Lisp code to Ada. Using these tools, part of a simple expert system was compiled (not quite automatically) to run in a purely Ada environment. This experience has given us various insights on Ada as an artificial intelligence programming language, potential solutions of some of the engineering difficulties encountered in early work, and inspiration on future system development.

  4. Dynamic reasoning in a knowledge-based system

    Science.gov (United States)

    Rao, Anand S.; Foo, Norman Y.

    1988-01-01

    Any space based system, whether it is a robot arm assembling parts in space or an onboard system monitoring the space station, has to react to changes which cannot be foreseen. As a result, apart from having domain-specific knowledge as in current expert systems, a space based AI system should also have general principles of change. This paper presents a modal logic which can not only represent change but also reason with it. Three primitive operations, expansion, contraction and revision are introduced and axioms which specify how the knowledge base should change when the external world changes are also specified. Accordingly the notion of dynamic reasoning is introduced, which unlike the existing forms of reasoning, provide general principles of change. Dynamic reasoning is based on two main principles, namely minimize change and maximize coherence. A possible-world semantics which incorporates the above two principles is also discussed. The paper concludes by discussing how the dynamic reasoning system can be used to specify actions and hence form an integral part of an autonomous reasoning and planning system.

  5. Artificial intelligence and tutoring systems computational and cognitive approaches to the communication of knowledge

    CERN Document Server

    Wenger, Etienne

    2014-01-01

    Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge focuses on the cognitive approaches, methodologies, principles, and concepts involved in the communication of knowledge. The publication first elaborates on knowledge communication systems, basic issues, and tutorial dialogues. Concerns cover natural reasoning and tutorial dialogues, shift from local strategies to multiple mental models, domain knowledge, pedagogical knowledge, implicit versus explicit encoding of knowledge, knowledge communication, and practical and theoretic

  6. ISPE: A knowledge-based system for fluidization studies

    Energy Technology Data Exchange (ETDEWEB)

    Reddy, S.

    1991-01-01

    Chemical engineers use mathematical simulators to design, model, optimize and refine various engineering plants/processes. This procedure requires the following steps: (1) preparation of an input data file according to the format required by the target simulator; (2) excecuting the simulation; and (3) analyzing the results of the simulation to determine if all specified goals'' are satisfied. If the goals are not met, the input data file must be modified and the simulation repeated. This multistep process is continued until satisfactory results are obtained. This research was undertaken to develop a knowledge based system, IPSE (Intelligent Process Simulation Environment), that can enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant to perform a variety tasks related to process simulation. ASPEN, a widely used simulator by the US Department of Energy (DOE) at Morgantown Energy Technology Center (METC) was selected as the target process simulator in the project. IPSE, written in the C language, was developed using a number of knowledge-based programming paradigms: object-oriented knowledge representation that uses inheritance and methods, rulebased inferencing (includes processing and propagation of probabilistic information) and data-driven programming using demons. It was implemented using the knowledge based environment LASER. The relationship of IPSE with the user, ASPEN, LASER and the C language is shown in Figure 1.

  7. On knowledge representation for high energy physics control systems

    International Nuclear Information System (INIS)

    Huuskonen, P.; Kaarela, K.; Meri, M.; Le Goff, J.M.

    1994-01-01

    A framework for knowledge representation in the domain of high energy physics control systems is presented. Models of process equipment, controls, documents, information systems, functional dependencies, physical interconnections, and design decisions are necessary to allow for automated reasoning about such systems. A number of support systems can use these models: alarm processing, fault diagnosis, sensor validation, preventive maintenance, action analysis, information abstraction, intelligent help systems, and on-line documentation. Our aim is to achieve representations that would be understood by end users, could be constructed by domain experts, and would be powerful enough to function as a basis for these support systems. It is proposed to base these models on means-end-analysis, implemented through an entity-relationship type of representation and extended with the notion of contribution. The paper outlines class hierarchies and relation types to form a vocabulary for talking about this specific domain. A number of implementation concerns are raised and some examples of how these representations can be used in real cases are offered. The representations are likely to prove most useful for support systems that function in the user assisting mode, as opposed to fully autonomous systems. Intelligent help and information abstraction applications, in particular, are expected to benefit. The main focus of the work is that of the control information system concepts based on encapsulated real- time objects (CICERO) project at CERN, experiment controls, but the results are usable for accelerator control systems and for industrial control systems in general. (author). 37 refs., 7 figs

  8. Knowledge-based dialogue in Intelligent Decision Support Systems

    International Nuclear Information System (INIS)

    Hollnagel, E.

    1987-01-01

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

  9. An XML Based Knowledge Management System for e-Collaboration and e-Learning

    Directory of Open Access Journals (Sweden)

    Varun Gopalakrishna

    2004-02-01

    Full Text Available This paper presents the development, key features, and the implementation principles of a sustainable and scaleable knowledge management system (KMS prototype for creating, capturing, organizing, and managing digital information in the form of Extensible Markup Language (XML documents and other popular file formats. It is aimed to provide a platform for global, instant, and secure access to and dissemination of information within a knowledge-intensive organization or a cluster of organizations through Internet or intranet. A three-tier system architecture was chosen for the KMS to provide performance and scalability while enabling future development that supports global, secure, real-time, and multi-media communication of information and knowledge among team members separated by great distance. An XML Content Server has been employed in this work to store, index, and retrieve large volumes of XML and binary content.

  10. Evaluation of need for ontologies to manage domain content for the Reportable Conditions Knowledge Management System.

    Science.gov (United States)

    Eilbeck, Karen L; Lipstein, Julie; McGarvey, Sunanda; Staes, Catherine J

    2014-01-01

    The Reportable Condition Knowledge Management System (RCKMS) is envisioned to be a single, comprehensive, authoritative, real-time portal to author, view and access computable information about reportable conditions. The system is designed for use by hospitals, laboratories, health information exchanges, and providers to meet public health reporting requirements. The RCKMS Knowledge Representation Workgroup was tasked to explore the need for ontologies to support RCKMS functionality. The workgroup reviewed relevant projects and defined criteria to evaluate candidate knowledge domain areas for ontology development. The use of ontologies is justified for this project to unify the semantics used to describe similar reportable events and concepts between different jurisdictions and over time, to aid data integration, and to manage large, unwieldy datasets that evolve, and are sometimes externally managed.

  11. Knowledge-based full-automatic control system for a nuclear ship reactor

    International Nuclear Information System (INIS)

    Shimazaki, J.; Nakazawa, T.; Yabuuchi, N.

    2000-01-01

    Plant operations aboard nuclear ships require quick judgements and actions due to changing marine conditions such as wind, waves and currents. Furthermore, additional human support is not available for nuclear ship operation at sea, so advanced automatic operations are necessary to reduce the number of operators required finally. Therefore, an advanced automatic operating system has been developed based on operational knowledge of nuclear ship 'Mutsu' plant. The advanced automatic operating system includes both the automatic operation system and the operator-support system which assists operators in completing actions during plant accidents, anomaly diagnosis and plant supervision. These system are largely being developed using artificial intelligent techniques such as neural network, fuzzy logic and knowledge-based expert. The automatic operation system is fundamentally based upon application of an operator's knowledge of both normal (start-up to rated power level) and abnormal (after scram) operations. Comparing plant behaviors from start-up to power level by the automatic operation with by 'Mutsu' manual operation, stable automatic operation was obtained almost same as manual operation within all operating limits. The abnormal automatic system was for hard work of manual operations after scram or LOCA accidents. An integrating system with the normal and the abnormal automatic systems are being developed for interacting smoothly both systems. (author)

  12. A knowledge based system for training radiation emergency response personnel

    International Nuclear Information System (INIS)

    Kuriakose, K.K.; Peter, T.U.; Natarajan, A.

    1992-01-01

    One of the important aspects of radiation emergency preparedness is to impart training to emergency handling staff. Mock exercises are generally used for this purpose. But practical considerations limit the frequency of such exercises. A suitably designed computer software can be effectively used to impart training. With the advent of low cost personal computers, the frequency with which the training programme can be conducted is unlimited. A computer software with monotonic behaviour is inadequate for such training. It is necessary to provide human like tutoring capabilities. With the advances in knowledge based computer systems, it is possible to develop such a system. These systems have the capability of providing individualized training. This paper describes the development of such a system for training and evaluation of agencies associated with the management of radiation emergency. It also discusses the utility of the software as a general purpose tutor. The details required for the preparation of data files and knowledge base files are included. It uses a student model based on performance measures. The software is developed in C under MS-DOS. It uses a rule based expert system shell developed in C. The features of this shell are briefly described. (author). 5 refs

  13. Expert system shell to reason on large amounts of data

    Science.gov (United States)

    Giuffrida, Gionanni

    1994-01-01

    The current data base management systems (DBMS's) do not provide a sophisticated environment to develop rule based expert systems applications. Some of the new DBMS's come with some sort of rule mechanism; these are active and deductive database systems. However, both of these are not featured enough to support full implementation based on rules. On the other hand, current expert system shells do not provide any link with external databases. That is, all the data are kept in the system working memory. Such working memory is maintained in main memory. For some applications the reduced size of the available working memory could represent a constraint for the development. Typically these are applications which require reasoning on huge amounts of data. All these data do not fit into the computer main memory. Moreover, in some cases these data can be already available in some database systems and continuously updated while the expert system is running. This paper proposes an architecture which employs knowledge discovering techniques to reduce the amount of data to be stored in the main memory; in this architecture a standard DBMS is coupled with a rule-based language. The data are stored into the DBMS. An interface between the two systems is responsible for inducing knowledge from the set of relations. Such induced knowledge is then transferred to the rule-based language working memory.

  14. Real-time application of knowledge-based systems

    Science.gov (United States)

    Brumbaugh, Randal W.; Duke, Eugene L.

    1989-01-01

    The Rapid Prototyping Facility (RPF) was developed to meet a need for a facility which allows flight systems concepts to be prototyped in a manner which allows for real-time flight test experience with a prototype system. This need was focused during the development and demonstration of the expert system flight status monitor (ESFSM). The ESFSM was a prototype system developed on a LISP machine, but lack of a method for progressive testing and problem identification led to an impractical system. The RPF concept was developed, and the ATMS designed to exercise its capabilities. The ATMS Phase 1 demonstration provided a practical vehicle for testing the RPF, as well as a useful tool. ATMS Phase 2 development continues. A dedicated F-18 is expected to be assigned for facility use in late 1988, with RAV modifications. A knowledge-based autopilot is being developed using the RPF. This is a system which provides elementary autopilot functions and is intended as a vehicle for testing expert system verification and validation methods. An expert system propulsion monitor is being prototyped. This system provides real-time assistance to an engineer monitoring a propulsion system during a flight.

  15. Flood AI: An Intelligent Systems for Discovery and Communication of Disaster Knowledge

    Science.gov (United States)

    Demir, I.; Sermet, M. Y.

    2017-12-01

    Communities are not immune from extreme events or natural disasters that can lead to large-scale consequences for the nation and public. Improving resilience to better prepare, plan, recover, and adapt to disasters is critical to reduce the impacts of extreme events. The National Research Council (NRC) report discusses the topic of how to increase resilience to extreme events through a vision of resilient nation in the year 2030. The report highlights the importance of data, information, gaps and knowledge challenges that needs to be addressed, and suggests every individual to access the risk and vulnerability information to make their communities more resilient. This project presents an intelligent system, Flood AI, for flooding to improve societal preparedness by providing a knowledge engine using voice recognition, artificial intelligence, and natural language processing based on a generalized ontology for disasters with a primary focus on flooding. The knowledge engine utilizes the flood ontology and concepts to connect user input to relevant knowledge discovery channels on flooding by developing a data acquisition and processing framework utilizing environmental observations, forecast models, and knowledge bases. Communication channels of the framework includes web-based systems, agent-based chat bots, smartphone applications, automated web workflows, and smart home devices, opening the knowledge discovery for flooding to many unique use cases.

  16. A Temporal Fuzzy Logic Formalism for Knowledge Based Systems

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2012-11-01

    Full Text Available This paper shows that the influence of knowledge on new forms of work organisation can be described as mutual relationships. Different changes in work organisation also have a strong influence on the increasing importance of knowledge of different individual and collective actors in working situations. After that, we characterize a piece of basic formal system, an Extended Fuzzy Logic System (EFLS with temporal attributes, to conceptualize future DKMSs based on human imprecise for distributed just in time decisions. The approximate reasoning is perceived as a derivation of new formulas with the corresponding temporal attributes, within a fuzzy theory defined by the fuzzy set of special axioms. In a management application, the reasoning is evolutionary because of unexpected events which may change the state of the DKMS. In this kind of situations it is necessary to elaborate certain mechanisms in order to maintain the coherence of the obtained conclusions, to figure out their degree of reliability and the time domain for which these are true. These last aspects stand as possible further directions of development at a basic logic level for future technologies that must automate knowledge organizational processes.

  17. Knowledge systems and the colonial legacies in African science education

    Science.gov (United States)

    Ziegler, John R.; Lehner, Edward

    2017-10-01

    This review surveys Femi Otulaja and Meshach Ogunniyi's, Handbook of research in science education in sub-Saharan Africa, Sense, Rotterdam, 2017, noting the significance of the theoretically rich content and how this book contributes to the field of education as well as to the humanities more broadly. The volume usefully outlines the ways in which science education and scholarship in sub-Saharan Africa continue to be impacted by the region's colonial history. Several of the chapters also enumerate proposals for teaching and learning science and strengthening academic exchange. Concerns that recur across many of the chapters include inadequate implementation of reforms; a lack of resources, such as for classroom materials and teacher training; and the continued and detrimental linguistic, financial, and ideological domination of African science education by the West. After a brief overview of the work and its central issues, this review closely examines two salient chapters that focus on scholarly communications and culturally responsive pedagogy. The scholarly communication section addresses the ways in which African science education research may in fact be too closely mirroring Western knowledge constructions without fully integrating indigenous knowledge systems in the research process. The chapter on pedagogy makes a similar argument for integrating Western and indigenous knowledge systems into teaching approaches.

  18. Intelligent Flowcharting Developmental Approach to Legal Knowledge Based System

    Directory of Open Access Journals (Sweden)

    Nitin Balaji Bilgi

    2011-10-01

    Full Text Available The basic aim of this research, described in this paper is to develop a hybrid legal expert system/ knowledge based system, with specific reference to the transfer of property act, within the Indian legal system which is often in demand. In this paper the authors discuss an traditional approach to combining two types of reasoning methodologies, Rule Based Reasoning (RBR and Case Based Reasoning (CBR. In RBR module we have interpreted and implemented rules that occur in legal statutes of the Transfer of property act. In the CBR module we have an implementation to find the related cases. The VisiRule software made available by Logic Programming Associates is used in the development of RBR part this expert system. The authors have used java Net Beans for development of CBR. VisiRule is a decision charting tool, in which the rules are defined by a combination of graphical shapes and pieces of text, and produces rules.

  19. Analisis Knowledge Management System Pada STMIK Mitra Lampung

    OpenAIRE

    Winarko, Triyugo

    2014-01-01

    Knowledge is information that is contextual, relevant and actionable. Knowledge differs from data or information because knowledge is only found in one's thinking. For that we need the knowledge that knowledge management can be an "intangible assets" that can be managed and utilized by many people. STMIK Mitra Lampung is a college with a wealth of knowledge on each personal well yet manageable, so that the knowledge management is expected to be "intangible assets" that can play its role optim...

  20. An Architecture for Context-Aware Knowledge Flow Management Systems

    OpenAIRE

    Jarrahi, Ali; Kangavari, Mohammad Reza

    2012-01-01

    The organizational knowledge is one of the most important and valuable assets of organizations. In such environment, organizations with broad, specialized and up-to-date knowledge, adequately using knowledge resources, will be more successful than their competitors. For effective use of knowledge, dynamic knowledge flow from the sources to destinations is essential. In this regard, a novel complex concept in knowledge management is the analysis, design and implementation of knowledge flow man...

  1. A survey of noninteractive zero knowledge proof system and its applications.

    Science.gov (United States)

    Wu, Huixin; Wang, Feng

    2014-01-01

    Zero knowledge proof system which has received extensive attention since it was proposed is an important branch of cryptography and computational complexity theory. Thereinto, noninteractive zero knowledge proof system contains only one message sent by the prover to the verifier. It is widely used in the construction of various types of cryptographic protocols and cryptographic algorithms because of its good privacy, authentication, and lower interactive complexity. This paper reviews and analyzes the basic principles of noninteractive zero knowledge proof system, and summarizes the research progress achieved by noninteractive zero knowledge proof system on the following aspects: the definition and related models of noninteractive zero knowledge proof system, noninteractive zero knowledge proof system of NP problems, noninteractive statistical and perfect zero knowledge, the connection between noninteractive zero knowledge proof system, interactive zero knowledge proof system, and zap, and the specific applications of noninteractive zero knowledge proof system. This paper also points out the future research directions.

  2. A Survey of Noninteractive Zero Knowledge Proof System and Its Applications

    Directory of Open Access Journals (Sweden)

    Huixin Wu

    2014-01-01

    Full Text Available Zero knowledge proof system which has received extensive attention since it was proposed is an important branch of cryptography and computational complexity theory. Thereinto, noninteractive zero knowledge proof system contains only one message sent by the prover to the verifier. It is widely used in the construction of various types of cryptographic protocols and cryptographic algorithms because of its good privacy, authentication, and lower interactive complexity. This paper reviews and analyzes the basic principles of noninteractive zero knowledge proof system, and summarizes the research progress achieved by noninteractive zero knowledge proof system on the following aspects: the definition and related models of noninteractive zero knowledge proof system, noninteractive zero knowledge proof system of NP problems, noninteractive statistical and perfect zero knowledge, the connection between noninteractive zero knowledge proof system, interactive zero knowledge proof system, and zap, and the specific applications of noninteractive zero knowledge proof system. This paper also points out the future research directions.

  3. Using Geographic Information Systems in Knowledge Management Processes

    Directory of Open Access Journals (Sweden)

    Dr. Filiz Gürder

    2013-07-01

    Full Text Available Nowadays, organizations are required to develop quick and accurate responses to internal and external changes that gain momentum. In this context, knowledge management activities become more important to all organizations. On the other hand, Geographic Information Systems (GIS become common more and more. GIS which address a broad spectrum of users such as public agencies, local communities, civil society organizations, the private sector, academic environment, and personal users have been aiming to solve problems which occurred in location-based areas. GIS are important to get, combine, analyze and transfer the spatial data. Common use of PCs for personal needs, digital geography and improvements of software technologies, also the need to make socially acceptable business decisions facilitated development and widespread use of GIS applications. The main purpose of this paper is to discuss using areas and contribution potentials of GIS in enterprise-wide knowledge management processes.

  4. Design techniques for large scale linear measurement systems

    International Nuclear Information System (INIS)

    Candy, J.V.

    1979-03-01

    Techniques to design measurement schemes for systems modeled by large scale linear time invariant systems, i.e., physical systems modeled by a large number (> 5) of ordinary differential equations, are described. The techniques are based on transforming the physical system model to a coordinate system facilitating the design and then transforming back to the original coordinates. An example of a three-stage, four-species, extraction column used in the reprocessing of spent nuclear fuel elements is presented. The basic ideas are briefly discussed in the case of noisy measurements. An example using a plutonium nitrate storage vessel (reprocessing) with measurement uncertainty is also presented

  5. Seventh International Conference on Intelligent Systems and Knowledge Engineering - Foundations and Applications of Intelligent Systems

    CERN Document Server

    Li, Tianrui; Li, Hongbo

    2014-01-01

    These proceedings present technical papers selected from the 2012 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2012), held on December 15-17 in Beijing. The aim of this conference is to bring together experts from different fields of expertise to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new findings and perspectives on future developments. The proceedings introduce current scientific and technical advances in the fields of artificial intelligence, machine learning, pattern recognition, data mining, knowledge engineering, information retrieval, information theory, knowledge-based systems, knowledge representation and reasoning, multi-agent systems, and natural-language processing, etc. Furthermore they include papers on new intelligent computing paradigms, which combine new computing methodologies, e.g., cloud computing, service computing and pervasive computing with traditional intelligent methods. By presenting new method...

  6. Uniform description and access to Knowledge Organization Systems with BARTOC and JSKOS

    OpenAIRE

    Voß, Jakob; Ledl, Andreas; Balakrishnan, Uma

    2016-01-01

    The Basel Register of Thesauri, Ontologies & Classifications (BARTOC) provides information about a large number of Knowledge Organization Systems (KOS) such as classifications, thesauri, authority files etc. To further improve availability and usefulness of both the description and content of KOS, they are mapped to the uniform JSKOS data format being developed in project coli-conc. Specification of a corresponding JSKOS-API will allow users to directly browse and search in KOS from any place.

  7. A knowledge-based system for optimization of fuel reload configurations

    International Nuclear Information System (INIS)

    Galperin, A.; Kimhi, S.; Segev, M.

    1989-01-01

    The authors discuss a knowledge-based production system developed for generating optimal fuel reload configurations. The system was based on a heuristic search method and implemented in Common Lisp programming language. The knowledge base embodied the reactor physics, reactor operations, and a general approach to fuel management strategy. The data base included a description of the physical system involved, i.e., the core geometry and fuel storage. The fifth cycle of the Three Mile Island Unit 1 pressurized water reactor was chosen as a test case. Application of the system to the test case revealed a self-learning process by which a relatively large number of near-optimal configurations were discovered. Several selected solutions were subjected to detailed analysis and demonstrated excellent performance. To summarize, applicability of the proposed heuristic search method in the domain of nuclear fuel management was proved unequivocally

  8. A knowledge-based approach to identification and adaptation in dynamical systems control

    Science.gov (United States)

    Glass, B. J.; Wong, C. M.

    1988-01-01

    Artificial intelligence techniques are applied to the problems of model form and parameter identification of large-scale dynamic systems. The object-oriented knowledge representation is discussed in the context of causal modeling and qualitative reasoning. Structured sets of rules are used for implementing qualitative component simulations, for catching qualitative discrepancies and quantitative bound violations, and for making reconfiguration and control decisions that affect the physical system. These decisions are executed by backward-chaining through a knowledge base of control action tasks. This approach was implemented for two examples: a triple quadrupole mass spectrometer and a two-phase thermal testbed. Results of tests with both of these systems demonstrate that the software replicates some or most of the functionality of a human operator, thereby reducing the need for a human-in-the-loop in the lower levels of control of these complex systems.

  9. A Knowledge Based Recommender System with Multigranular Linguistic Information

    Directory of Open Access Journals (Sweden)

    Luis Martinez

    2008-08-01

    Full Text Available Recommender systems are applications that have emerged in the e-commerce area in order to assist users in their searches in electronic shops. These shops usually offer a wide range of items that cover the necessities of a great variety of users. Nevertheless, searching in such a wide range of items could be a very difficult and time-consuming task. Recommender systems assist users to find out suitable items by means of recommendations based on information provided by different sources such as: other users, experts, item features, etc. Most of the recommender systems force users to provide their preferences or necessities using an unique numerical scale of information fixed in advance. In spite of this information is usually related to opinions, tastes and perceptions, therefore, it seems that is usually better expressed in a qualitative way, with linguistic terms, than in a quantitative way, with precise numbers. We propose a Knowledge Based Recommender System that uses the fuzzy linguistic approach to define a flexible framework to capture the uncertainty of the user's preferences. Thus, this framework will allow users to express their necessities in scales closer to their own knowledge, and different from the scale utilized to describe the items.

  10. Reduction of Large Dynamical Systems by Minimization of Evolution Rate

    Science.gov (United States)

    Girimaji, Sharath S.

    1999-01-01

    Reduction of a large system of equations to a lower-dimensional system of similar dynamics is investigated. For dynamical systems with disparate timescales, a criterion for determining redundant dimensions and a general reduction method based on the minimization of evolution rate are proposed.

  11. Large deviations for noninteracting infinite-particle systems

    International Nuclear Information System (INIS)

    Donsker, M.D.; Varadhan, S.R.S.

    1987-01-01

    A large deviation property is established for noninteracting infinite particle systems. Previous large deviation results obtained by the authors involved a single I-function because the cases treated always involved a unique invariant measure for the process. In the context of this paper there is an infinite family of invariant measures and a corresponding infinite family of I-functions governing the large deviations

  12. Assessment of farmer knowledge of large ruminant health and production in developing village-level biosecurity in northern Lao PDR.

    Science.gov (United States)

    Nampanya, S; Rast, L; Khounsy, S; Windsor, P A

    2010-12-01

    The purpose of this study was to determine baseline knowledge and identify knowledge gaps of farmers on biosecurity, risk of transmission of transboundary diseases and large ruminant health and production in three provinces of northern Laos, Hua Phan (HP), Luang Prabang (LPB) and Xieng Khoung (XK). The survey was conducted in six villages that are project sites for an Australian Centre for International Agricultural Research (ACIAR) project, with two villages located in each of the three provinces. A census survey was conducted by interview with all 238 farmers participating in the ACIAR project, using a structured questionnaire. The interviews were conducted in Lao language and took 1-2 h per farmer. The answers were recorded in Lao and the survey data were translated into English and transcribed into Microsoft Excel, and a linear mixed model in the Genstat statistical analysis package was used to compare quantitative traits between the target provinces. The results showed that the prediction mean of farmer knowledge scores on parasitic disorders, infectious disease, reproduction and nutrition management were significantly different between the target provinces. The prediction mean of farmer knowledge scores on infectious disease questions ranged between 5.11 in HP to 8.54 in XK of 24 marks (P < 0.001). The prediction mean of total knowledge scores was 13.48 in LPB and 19.29 in XK of 42 marks (P < 0.001). The results indicate both the need for and scope required to attain improvements in farmer knowledge of large ruminant health and production. It was concluded that a participatory research and extension programme to address village-level biosecurity and reduce disease risks, plus enhance large ruminant production capabilities of smallholder producers, is a valid and potentially important strategy to address transboundary disease risk and rural poverty in northern Laos. © 2010 Blackwell Verlag GmbH.

  13. End user interface and knowledge base editing system of CSPAR: a knowledge-based consultation system for preventive maintenance in nuclear plants

    International Nuclear Information System (INIS)

    Sinohara, Yasusi; Terano, Takao; Nishiyama, Takuya

    1988-01-01

    Consultation System for Prevention of Abnormal-event Recurrence (CSPAR) is a knowledge-based system to analyze the same kind of events to a given fault reported on a nuclear power plant and to give users some informations for effective measures preventing them. This report discusses the interfaces of CSPAR for both end-users and knowledge-base editors. The interfaces are highly interactive and multi-window oriented. The features are as follows: (1) The end-user interfaces has Japanese language processing facility, which enables the users to consult CSPAR with various synonims and related terms for knowledge-base handling; (2) The knowledge-base editing system is used by knowledge-base editors for maintaining the knowledge on both plants' equipments and abnormal events sequences. It has facilities for easy maintenance of knowledge-bases, which includes a graphic oriented browser, a knowledge-base retriever, and a knowledge-base checker. (author)

  14. Optimization of MIMO Systems Capacity Using Large Random Matrix Methods

    Directory of Open Access Journals (Sweden)

    Philippe Loubaton

    2012-11-01

    Full Text Available This paper provides a comprehensive introduction of large random matrix methods for input covariance matrix optimization of mutual information of MIMO systems. It is first recalled informally how large system approximations of mutual information can be derived. Then, the optimization of the approximations is discussed, and important methodological points that are not necessarily covered by the existing literature are addressed, including the strict concavity of the approximation, the structure of the argument of its maximum, the accuracy of the large system approach with regard to the number of antennas, or the justification of iterative water-filling optimization algorithms. While the existing papers have developed methods adapted to a specific model, this contribution tries to provide a unified view of the large system approximation approach.

  15. Improved control system power unit for large parachutes

    Science.gov (United States)

    Chandler, J. A.; Grubbs, T. M.

    1968-01-01

    Improved control system power unit drives the control surfaces of very large controllable parachutes. The design features subassemblies for determining control surface position and cable loading, and protection of the load sensor against the possibility of damage during manipulation.

  16. Knowledge base mechanisms

    Energy Technology Data Exchange (ETDEWEB)

    Suwa, M; Furukawa, K; Makinouchi, A; Mizoguchi, T; Mizoguchi, F; Yamasaki, H

    1982-01-01

    One of the principal goals of the Fifth Generation Computer System Project for the coming decade is to develop a methodology for building knowledge information processing systems which will provide people with intelligent agents. The key notion of the fifth generation computer system is knowledge used for problem solving. In this paper the authors describe the plan of Randd on knowledge base mechanisms. A knowledge representation system is to be designed to support knowledge acquisition for the knowledge information processing systems. The system will include a knowledge representation language, a knowledge base editor and a debugger. It is also expected to perform as a kind of meta-inference system. In order to develop the large scale knowledge base systems, a knowledge base mechanism based on the relational model is to be studied in the earlier stage of the project. Distributed problem solving is also one of the main issues of the project. 19 references.

  17. Next Generation Agricultural System Data, Models and Knowledge Products: Introduction

    Science.gov (United States)

    Antle, John M.; Jones, James W.; Rosenzweig, Cynthia E.

    2016-01-01

    Agricultural system models have become important tools to provide predictive and assessment capability to a growing array of decision-makers in the private and public sectors. Despite ongoing research and model improvements, many of the agricultural models today are direct descendants of research investments initially made 30-40 years ago, and many of the major advances in data, information and communication technology (ICT) of the past decade have not been fully exploited. The purpose of this Special Issue of Agricultural Systems is to lay the foundation for the next generation of agricultural systems data, models and knowledge products. The Special Issue is based on a 'NextGen' study led by the Agricultural Model Intercomparison and Improvement Project (AgMIP) with support from the Bill and Melinda Gates Foundation.

  18. Knowledge-Based Systems in Biomedicine and Computational Life Science

    CERN Document Server

    Jain, Lakhmi

    2013-01-01

    This book presents a sample of research on knowledge-based systems in biomedicine and computational life science. The contributions include: ·         personalized stress diagnosis system ·         image analysis system for breast cancer diagnosis ·         analysis of neuronal cell images ·         structure prediction of protein ·         relationship between two mental disorders ·         detection of cardiac abnormalities ·         holistic medicine based treatment ·         analysis of life-science data  

  19. Using Agent Base Models to Optimize Large Scale Network for Large System Inventories

    Science.gov (United States)

    Shameldin, Ramez Ahmed; Bowling, Shannon R.

    2010-01-01

    The aim of this paper is to use Agent Base Models (ABM) to optimize large scale network handling capabilities for large system inventories and to implement strategies for the purpose of reducing capital expenses. The models used in this paper either use computational algorithms or procedure implementations developed by Matlab to simulate agent based models in a principal programming language and mathematical theory using clusters, these clusters work as a high performance computational performance to run the program in parallel computational. In both cases, a model is defined as compilation of a set of structures and processes assumed to underlie the behavior of a network system.

  20. Design of customer knowledge management system for Aglaonema Nursery in South Tangerang, Indonesia

    Science.gov (United States)

    Sugiarto, D.; Mardianto, I.; Dewayana, TS; Khadafi, M.

    2017-12-01

    The purpose of this paper is to describe the design of customer knowledge management system to support customer relationship management activities for an aglaonema nursery in South Tangerang, Indonesia. System. The steps were knowledge identification (knowledge about customer, knowledge from customer, knowledge for customer), knowledge capture, codification, analysis of system requirement and create use case and activity diagram. The result showed that some key knowledge were about supporting customer in plant care (know how) and types of aglaonema including with the prices (know what). That knowledge for customer then codified and shared in knowledge portal website integrated with social media. Knowledge about customer were about customers and their behaviour in purchasing aglaonema. Knowledge from customer were about feedback, favorite and customer experience. Codified knowledge were placed and shared using content management system based on wordpress.

  1. Framework for managing shared knowledge in an information systems outsourcing context

    CSIR Research Space (South Africa)

    Smuts, H

    2017-11-01

    Full Text Available Both information systems (IS) outsourcing and knowledge management are well-established business phenomena. The integration of shared knowledge in an IS outsourcing arrangement, represents the blending of organisational knowledge with external...

  2. Knowledge-based support system for requirement elaboration in design

    International Nuclear Information System (INIS)

    Furuta, Kazuo; Kondo, Shunsuke

    1994-01-01

    Design requirements are the seeds of every design activity, but elicitation and formalization of them are not easy tasks. This paper proposes a method to support designers in such requirement elaboration process with a computer. In this method the cognitive work space of designers is modeled by abstraction and structural hierarchies, and supporting functions of knowledge-based requirement elaboration, requirement classification and assessment of contentment status of requirements are provided on this framework. A prototype system was developed and tested using fast breeder reactor design. (author)

  3. An integrated system for interactive continuous learning of categorical knowledge

    Science.gov (United States)

    Skočaj, Danijel; Vrečko, Alen; Mahnič, Marko; Janíček, Miroslav; Kruijff, Geert-Jan M.; Hanheide, Marc; Hawes, Nick; Wyatt, Jeremy L.; Keller, Thomas; Zhou, Kai; Zillich, Michael; Kristan, Matej

    2016-09-01

    This article presents an integrated robot system capable of interactive learning in dialogue with a human. Such a system needs to have several competencies and must be able to process different types of representations. In this article, we describe a collection of mechanisms that enable integration of heterogeneous competencies in a principled way. Central to our design is the creation of beliefs from visual and linguistic information, and the use of these beliefs for planning system behaviour to satisfy internal drives. The system is able to detect gaps in its knowledge and to plan and execute actions that provide information needed to fill these gaps. We propose a hierarchy of mechanisms which are capable of engaging in different kinds of learning interactions, e.g. those initiated by a tutor or by the system itself. We present the theory these mechanisms are build upon and an instantiation of this theory in the form of an integrated robot system. We demonstrate the operation of the system in the case of learning conceptual models of objects and their visual properties.

  4. Knowledge-based operation and management of communications systems

    Science.gov (United States)

    Heggestad, Harold M.

    1988-01-01

    Expert systems techniques are being applied in operation and control of the Defense Communications System (DCS), which has the mission of providing reliable worldwide voice, data and message services for U.S. forces and commands. Thousands of personnel operate DCS facilities, and many of their functions match the classical expert system scenario: complex, skill-intensive environments with a full spectrum of problems in training and retention, cost containment, modernization, and so on. Two of these functions are: (1) fault isolation and restoral of dedicated circuits at Tech Control Centers, and (2) network management for the Defense Switched Network (the modernized dial-up voice system currently replacing AUTOVON). An expert system for the first of these is deployed for evaluation purposes at Andrews Air Force Base, and plans are being made for procurement of operational systems. In the second area, knowledge obtained with a sophisticated simulator is being embedded in an expert system. The background, design and status of both projects are described.

  5. Fast reactor knowledge preservation system: Taxonomy and basic requirements

    International Nuclear Information System (INIS)

    2008-01-01

    The IAEA has taken the initiative to coordinate efforts of Member States in the preservation of knowledge in the area of fast reactors. In the framework of this initiative, the IAEA intends to create an international database compiling information from different Member States on fast reactors through a web portal. Other activities related to this initiative are being designed to accumulate and exchange information on the fast reactor area, to facilitate access to this information by users in different countries and to assist Member States in preserving the experience gained in their countries. The purpose of this publication is to develop a taxonomy of the Fast Reactor Knowledge Preservation System (FRKPS) that will facilitate the preservation of the world's fast reactor knowledge base, to identify basic requirements of this taxonomy on the basis of the experience gained in the fast reactor area, as well as results of previous IAEA activities on fast reactor knowledge preservation. The need for such taxonomy arises from the fact that during the past 15 years there has been stagnation in the development of fast reactors in the industrialized countries that were involved, earlier, in intensive development of this area. All studies on fast reactors have been stopped in countries such as Germany, Italy, the United Kingdom and the United States of America and the only work being carried out is related to the decommissioning of fast reactors. Many specialists who were involved in the studies and development work in this area in these countries have already retired or are close to retirement. In countries such as France, Japan and the Russian Federation that are still actively pursuing the evolution of fast reactor technology, the situation is aggravated by the lack of young scientists and engineers moving into this branch of nuclear power

  6. PRM-based patterns for knowledge formalisation of industrial systems to support maintenance strategies assessment

    International Nuclear Information System (INIS)

    Medina-Oliva, G.; Weber, P.; Iung, B.

    2013-01-01

    The production system and its maintenance system must be now developed on “system thinking” paradigm in order to guarantee that Key Performance Indicators (KPI) will be optimized all along the production system (operation) life. In a recursive way, maintenance system engineering has to integrate also KPI considerations with regards to its own enabling systems. Thus this paper develops a system-based methodology wherein a set of KPIs is computed in order to verify if the objectives of the production and maintenance systems are satisfied. In order to help the decision-making process for maintenance managers, a “unified” generic model have been developed. This model integrates (a) the interactions of the maintenance system with its enabling systems, (b) the impact of the maintenance strategies through the computation of some key performance indicators, and (c) different kinds of knowledge regarding the maintenance system and the system of interest, including quantitative and qualitative knowledge. This methodology is based on an executable unified model built with Probabilistic Relational Model (PRM). PRM allows a modular representation and inferences computation of large size models. The methodology added-value is shown on a test-bench

  7. Knowledge discovery in large model datasets in the marine environment: the THREDDS Data Server example

    Directory of Open Access Journals (Sweden)

    A. Bergamasco

    2012-06-01

    Full Text Available In order to monitor, describe and understand the marine environment, many research institutions are involved in the acquisition and distribution of ocean data, both from observations and models. Scientists from these institutions are spending too much time looking for, accessing, and reformatting data: they need better tools and procedures to make the science they do more efficient. The U.S. Integrated Ocean Observing System (US-IOOS is working on making large amounts of distributed data usable in an easy and efficient way. It is essentially a network of scientists, technicians and technologies designed to acquire, collect and disseminate observational and modelled data resulting from coastal and oceanic marine regions investigations to researchers, stakeholders and policy makers. In order to be successful, this effort requires standard data protocols, web services and standards-based tools. Starting from the US-IOOS approach, which is being adopted throughout much of the oceanographic and meteorological sectors, we describe here the CNR-ISMAR Venice experience in the direction of setting up a national Italian IOOS framework using the THREDDS (THematic Real-time Environmental Distributed Data Services Data Server (TDS, a middleware designed to fill the gap between data providers and data users. The TDS provides services that allow data users to find the data sets pertaining to their scientific needs, to access, to visualize and to use them in an easy way, without downloading files to the local workspace. In order to achieve this, it is necessary that the data providers make their data available in a standard form that the TDS understands, and with sufficient metadata to allow the data to be read and searched in a standard way. The core idea is then to utilize a Common Data Model (CDM, a unified conceptual model that describes different datatypes within each dataset. More specifically, Unidata (www.unidata.ucar.edu has developed CDM

  8. The Power of a Question: A Case Study of Two Organizational Knowledge Capture Systems

    Science.gov (United States)

    Cooper, Lynn P.

    2003-01-01

    This document represents a presentation regarding organizational knowledge capture systems which was delivered at the HICSS-36 conference held from January 6-9, 2003. An exploratory case study of two knowledge resources is offered. Then, two organizational knowledge capture systems are briefly described: knowledge transfer from practitioner and the use of questions to represent knowledge. Finally, the creation of a database of peer review questions is suggested as a method of promoting organizational discussions and knowledge representation and exchange.

  9. Highly Scalable Trip Grouping for Large Scale Collective Transportation Systems

    DEFF Research Database (Denmark)

    Gidofalvi, Gyozo; Pedersen, Torben Bach; Risch, Tore

    2008-01-01

    Transportation-related problems, like road congestion, parking, and pollution, are increasing in most cities. In order to reduce traffic, recent work has proposed methods for vehicle sharing, for example for sharing cabs by grouping "closeby" cab requests and thus minimizing transportation cost...... and utilizing cab space. However, the methods published so far do not scale to large data volumes, which is necessary to facilitate large-scale collective transportation systems, e.g., ride-sharing systems for large cities. This paper presents highly scalable trip grouping algorithms, which generalize previous...

  10. A Data Analysis Expert System For Large Established Distributed Databases

    Science.gov (United States)

    Gnacek, Anne-Marie; An, Y. Kim; Ryan, J. Patrick

    1987-05-01

    The purpose of this work is to analyze the applicability of artificial intelligence techniques for developing a user-friendly, parallel interface to large isolated, incompatible NASA databases for the purpose of assisting the management decision process. To carry out this work, a survey was conducted to establish the data access requirements of several key NASA user groups. In addition, current NASA database access methods were evaluated. The results of this work are presented in the form of a design for a natural language database interface system, called the Deductively Augmented NASA Management Decision Support System (DANMDS). This design is feasible principally because of recently announced commercial hardware and software product developments which allow cross-vendor compatibility. The goal of the DANMDS system is commensurate with the central dilemma confronting most large companies and institutions in America, the retrieval of information from large, established, incompatible database systems. The DANMDS system implementation would represent a significant first step toward this problem's resolution.

  11. Tools for the Automation of Large Distributed Control Systems

    CERN Document Server

    Gaspar, Clara

    2005-01-01

    The new LHC experiments at CERN will have very large numbers of channels to operate. In order to be able to configure and monitor such large systems, a high degree of parallelism is necessary. The control system is built as a hierarchy of sub-systems distributed over several computers. A toolkit - SMI++, combining two approaches: finite state machines and rule-based programming, allows for the description of the various sub-systems as decentralized deciding entities, reacting is real-time to changes in the system, thus providing for the automation of standard procedures and for the automatic recovery from error conditions in a hierarchical fashion. In this paper we will describe the principles and features of SMI++ as well as its integration with an industrial SCADA tool for use by the LHC experiments and we will try to show that such tools, can provide a very convenient mechanism for the automation of large scale, high complexity, applications.

  12. Tools for the automation of large control systems

    CERN Document Server

    Gaspar, Clara

    2005-01-01

    The new LHC experiments at CERN will have very large numbers of channels to operate. In order to be able to configure and monitor such large systems, a high degree of parallelism is necessary. The control system is built as a hierarchy of sub-systems distributed over several computers. A toolkit – SMI++, combining two approaches: finite state machines and rule-based programming, allows for the description of the various sub-systems as decentralized deciding entities, reacting in real-time to changes in the system, thus providing for the automation of standard procedures and the for the automatic recovery from error conditions in a hierarchical fashion. In this paper we will describe the principles and features of SMI++ as well as its integration with an industrial SCADA tool for use by the LHC experiments and we will try to show that such tools, can provide a very convenient mechanism for the automation of large scale, high complexity, applications.

  13. Knowledge of the Costs of Diagnostic Imaging: A Survey of Physician Trainees at a Large Academic Medical Center.

    Science.gov (United States)

    Vijayasarathi, Arvind; Duszak, Richard; Gelbard, Rondi B; Mullins, Mark E

    2016-11-01

    To study the awareness of postgraduate physician trainees across a variety of specialties regarding the costs of common imaging examinations. During early 2016, we conducted an online survey of all 1,238 physicians enrolled in internships, residencies, and fellowships at a large academic medical center. Respondents were asked to estimate Medicare national average total allowable fees for five commonly performed examinations: two-view chest radiograph, contrast-enhanced CT abdomen and pelvis, unenhanced MRI lumbar spine, complete abdominal ultrasound, and unenhanced CT brain. Responses within ±25% of published amounts were deemed correct. Respondents were also asked about specialty, postgraduate year of training, previous radiology education, and estimated number of imaging examinations ordered per week. A total of 381 of 1,238 trainees returned complete surveys (30.8%). Across all five examinations, only 5.7% (109/1,905) of responses were within the correct ±25% range. A total of 76.4% (291/381) of all respondents incorrectly estimated every examination's cost. Estimation accuracy was not associated with number of imaging examinations ordered per week or year of training. There was no significant difference in cost estimation accuracy between those who participated in medical school radiology electives and those who did not (P = .14). Only 17.5% of trainees considered their imaging cost knowledge adequate. Overall, 75.3% desire integration of cost data into clinical decision support and/or computerized physician order entry systems. Postgraduate physician trainees across all disciplines demonstrate limited awareness of the costs of commonly ordered imaging examinations. Targeted medical school education and integration of imaging cost information into clinical decision support / computerized physician order entry systems seems indicated. Copyright © 2016 American College of Radiology. Published by Elsevier Inc. All rights reserved.

  14. A System for Managing Critical Knowledge for Accelerator Subsystems: Pansophy

    International Nuclear Information System (INIS)

    C. Reece; V. Bookwalter; B. Madre

    2001-01-01

    Accelerator development and construction projects often intentionally push the envelope of well-established technical performance and manageable complexity. In addition, the desire for efficient retention and exploitation of accumulated experience across the multi-decade life cycles of major installations calls for a robust, yet user-friendly knowledge management system. To meet these needs, we are presently deploying a new web-based system at Jefferson Lab: Pansophy. This system is a custom integration of several commercial software utilities, DocushareTM, ColdFusionTM, MatlabTM, IngresTM, and common desktop programs. Users of the system range from process managers, shop-floor technicians, test engineers, to after-the-fact data miners and operations staff. The system integrates important QA elements of procedural control, automated data accumulation into a secured central database, prompt and reliable data query and retrieval, and online analysis tools, all accessed by the user via their platform-independent web browser. A system overview, completed pilot project, and implementation experience to date will be presented

  15. Scientific Knowledge Discovery in Complex Semantic Networks of Geophysical Systems

    Science.gov (United States)

    Fox, P.

    2012-04-01

    The vast majority of explorations of the Earth's systems are limited in their ability to effectively explore the most important (often most difficult) problems because they are forced to interconnect at the data-element, or syntactic, level rather than at a higher scientific, or semantic, level. Recent successes in the application of complex network theory and algorithms to climate data, raise expectations that more general graph-based approaches offer the opportunity for new discoveries. In the past ~ 5 years in the natural sciences there has substantial progress in providing both specialists and non-specialists the ability to describe in machine readable form, geophysical quantities and relations among them in meaningful and natural ways, effectively breaking the prior syntax barrier. The corresponding open-world semantics and reasoning provide higher-level interconnections. That is, semantics provided around the data structures, using semantically-equipped tools, and semantically aware interfaces between science application components allowing for discovery at the knowledge level. More recently, formal semantic approaches to continuous and aggregate physical processes are beginning to show promise and are soon likely to be ready to apply to geoscientific systems. To illustrate these opportunities, this presentation presents two application examples featuring domain vocabulary (ontology) and property relations (named and typed edges in the graphs). First, a climate knowledge discovery pilot encoding and exploration of CMIP5 catalog information with the eventual goal to encode and explore CMIP5 data. Second, a multi-stakeholder knowledge network for integrated assessments in marine ecosystems, where the data is highly inter-disciplinary.

  16. Natuculture Systems: Addressing Students' STEM and Agriculture Knowledge

    Science.gov (United States)

    Joyce, Alexander Augusto

    The purpose of this study was to assess the inclusion of a Natuculture systems learning experience into selected high school STEM courses to determine high school students' interests in majoring in STEM and for pursuing careers in agricultural sciences. Natuculture is defined as "any human-made system that mimics nature in human-disturbed landscapes". The research occurred at an urban area high school located in the Piedmont region of North Carolina. Fifty-three students in grades 9-12 participated during an academic semester learning experience which included planting, maintenance, & harvesting for an oasissofa. Data was collected using a questionnaire and reflective journals to gather students' attitudes towards agriculture and science and knowledge towards agriculture. Results showed that while the experiences did not improve students' interest in pursuing careers in agricultural sciences, overall, they did increase their knowledge of concepts related to agriculture. It was concluded that students benefit from experiential learning experiences. Based on the study, it is recommended that future research follow up with students to learn of their educational and career choices in agriculture and future learning experiences include curricula that integrates agricultural topics with STEM courses.

  17. A method of knowledge base verification and validation for nuclear power plants expert systems

    International Nuclear Information System (INIS)

    Kwon, Il Won

    1996-02-01

    The adoption of expert systems mainly as operator supporting systems is becoming increasingly popular as the control algorithms of system become more and more sophisticated and complicated. As a result of this popularity, a large number of expert systems are developed. The nature of expert systems, however, requires that they be verified and validated carefully and that detailed methodologies for their development be devised. Therefore, it is widely noted that assuring the reliability of expert systems is very important, especially in nuclear industry, and it is also recognized that the process of verification and validation is an essential part of reliability assurance for these systems. Research and practices have produced numerous methods for expert system verification and validation (V and V) that suggest traditional software and system approaches to V and V. However, many approaches and methods for expert system V and V are partial, unreliable, and not uniform. The purpose of this paper is to present a new approach to expert system V and V, based on Petri nets, providing a uniform model. We devise and suggest an automated tool, called COKEP (Checker Of Knowledge base using Extended Petri net), for checking incorrectness, inconsistency, and incompleteness in a knowledge base. We also suggest heuristic analysis for validation process to show that the reasoning path is correct

  18. Analysis Methods for Extracting Knowledge from Large-Scale WiFi Monitoring to Inform Building Facility Planning

    DEFF Research Database (Denmark)

    Ruiz-Ruiz, Antonio; Blunck, Henrik; Prentow, Thor Siiger

    2014-01-01

    realistic data to inform facility planning. In this paper, we propose analysis methods to extract knowledge from large sets of network collected WiFi traces to better inform facility management and planning in large building complexes. The analysis methods, which build on a rich set of temporal and spatial......The optimization of logistics in large building com- plexes with many resources, such as hospitals, require realistic facility management and planning. Current planning practices rely foremost on manual observations or coarse unverified as- sumptions and therefore do not properly scale or provide....... Spatio-temporal visualization tools built on top of these methods enable planners to inspect and explore extracted information to inform facility-planning activities. To evaluate the methods, we present results for a large hospital complex covering more than 10 hectares. The evaluation is based on Wi...

  19. Long Chain Saturated and Unsaturated Carboxylic Acids: Filling a Large Gap of Knowledge in Their Enthalpies of Formation.

    Science.gov (United States)

    Rogers, Donald W; Zavitsas, Andreas A

    2017-01-06

    Despite their abundance in nature and their importance in biology, medicine, nutrition, and in industry, gas phase enthalpies of formation of many long chain saturated and unsaturated fatty acids and of dicarboxylic acids are either unavailable or have been estimated with large uncertainties. Available experimental values for stearic acid show a spread of 68 kJ mol -1 . This work fills the knowledge gap by obtaining reliable values by quantum theoretical calculations using G4 model chemistry. Compounds with up to 20 carbon atoms are treated. The theoretical results are in excellent agreement with well established experimental values when such values exist, and they provide a large number of previously unavailable values.

  20. Large-Scale Systems Control Design via LMI Optimization

    Czech Academy of Sciences Publication Activity Database

    Rehák, Branislav

    2015-01-01

    Roč. 44, č. 3 (2015), s. 247-253 ISSN 1392-124X Institutional support: RVO:67985556 Keywords : Combinatorial linear matrix inequalities * large-scale system * decentralized control Subject RIV: BC - Control Systems Theory Impact factor: 0.633, year: 2015

  1. Large superconducting magnet systems for plasma and fusion applications

    International Nuclear Information System (INIS)

    Heinz, W.

    1976-05-01

    Work on superconducting magnet systems and state of the art of superconducting magnet technology are described. Conceptual design consideration and problems of large magnet systems (stability, magnetic forces, cooling modes, safety) are discussed. Recent results of experimental work at Karlsruhe are reported. An outline of American and European programs is given. (orig.) [de

  2. A Chain Perspective on Large-scale Number Systems

    NARCIS (Netherlands)

    Grijpink, J.H.A.M.

    2012-01-01

    As large-scale number systems gain significance in social and economic life (electronic communication, remote electronic authentication), the correct functioning and the integrity of public number systems take on crucial importance. They are needed to uniquely indicate people, objects or phenomena

  3. Disruptions in large value payment systems: an experimental approach

    NARCIS (Netherlands)

    Abbink, K.; Bosman, R.; Heijmans, R.; van Winden, F.

    2010-01-01

    This experimental study investigates the behaviour of banks in a large value payment system. More specifically,we look at 1) the reactions of banks to disruptions in the payment system, 2) the way in which the history of disruptions affects the behaviour of banks (path dependency) and 3) the effect

  4. Disruptions in large value payment systems: An experimental approach

    NARCIS (Netherlands)

    Abbink, K.; Bosman, R.; Heijmans, R.; van Winden, F.; Hellqvist, M.; Laine, T.

    2012-01-01

    This experimental study investigates the behaviour of banks in a large value payment system. More specifically, we look at 1) the reactions of banks to disruptions in the payment system, 2) the way in which the history of disruptions affects the behaviour of banks (path dependency) and 3) the effect

  5. Large amplitude forced vibration analysis of cross-beam system ...

    African Journals Online (AJOL)

    Large amplitude forced vibration behaviour of cross-beam system under harmonic excitation is studied, incorporating the effect of geometric non-linearity. The forced vibration analysis is carried out in an indirect way, in which the dynamic system is assumed to satisfy the force equilibrium condition at peak load value, thus ...

  6. Occupational biological risk knowledge and perception: results from a large survey in Rome, Italy

    Directory of Open Access Journals (Sweden)

    Maria De Giusti

    2012-06-01

    Full Text Available BACKGROUND: A cross-sectional survey on knowledge and perception of occupational biological risk among workers in several occupations was carried out in the industrial area of Rome. METHODS: The study was carried out in the period of March-April 2010 using a questionnaire with 33 items on the following areas: a socio-demographic data; b perception of the biological risks in ordinary occupational activity; c knowledge about biological risks; d biological risks in the working environment. The questionnaire was submitted to a convenience sample of workers of an industrial area in Southern Rome. RESULTS: 729 participants entered the study from the following work activities: food, catering, service, farming and breeding, healthcare, school and research (males 57.2%; mean age 37.4 years, SD = 10.9. Significant associations were found between different activity areas with respect to the relevance of the biological risk (p = 0.044 and the perception of the biological risk (p < 0.001. With respect to vehicles of infectious agents, the highest percentages of the most common biological risk exposures were: air and physical contact for the catering and food group, 66.7% and 61.90% respectively; air and blood for the health and research group, with 73.50% and 57.00% respectively; and physical contact and blood for the service group, 63.10 % and 48.30%. Significant difference of proportions were found about the prevalent effect caused by the biological agents was the occurrence of infectious diseases (59.90% food group, 91.60% health and research and 79.30% service group (p < 0.001. The perception of knowledge resulted in a good rank (sufficient, many or complete in the food and catering group, 78.3% with significant difference compared to other professions (p < 0.001. CONCLUSIONS: All participants show good knowledge the effects induced by biological agents and it is significant that almost half of the respondents are aware of the risks concerning allergies

  7. Foundations of Intelligent Systems : Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering

    CERN Document Server

    Li, Tianrui

    2012-01-01

    Proceedings of The Sixth International Conference on Intelligent System and Knowledge Engineering presents selected papers from the conference ISKE 2011, held December 15-17 in Shanghai, China. This proceedings doesn’t only examine original research and approaches in the broad areas of intelligent systems and knowledge engineering, but also present new methodologies and practices in intelligent computing paradigms. The book introduces the current scientific and technical advances in the fields of artificial intelligence, machine learning, pattern recognition, data mining, information retrieval, knowledge-based systems, knowledge representation and reasoning, multi-agent systems, natural-language processing, etc. Furthermore, new computing methodologies are presented, including cloud computing, service computing and pervasive computing with traditional intelligent methods. The proceedings will be beneficial for both researchers and practitioners who want to utilize intelligent methods in their specific resea...

  8. Self-* and Adaptive Mechanisms for Large Scale Distributed Systems

    Science.gov (United States)

    Fragopoulou, P.; Mastroianni, C.; Montero, R.; Andrjezak, A.; Kondo, D.

    Large-scale distributed computing systems and infrastructure, such as Grids, P2P systems and desktop Grid platforms, are decentralized, pervasive, and composed of a large number of autonomous entities. The complexity of these systems is such that human administration is nearly impossible and centralized or hierarchical control is highly inefficient. These systems need to run on highly dynamic environments, where content, network topologies and workloads are continuously changing. Moreover, they are characterized by the high degree of volatility of their components and the need to provide efficient service management and to handle efficiently large amounts of data. This paper describes some of the areas for which adaptation emerges as a key feature, namely, the management of computational Grids, the self-management of desktop Grid platforms and the monitoring and healing of complex applications. It also elaborates on the use of bio-inspired algorithms to achieve self-management. Related future trends and challenges are described.

  9. Using knowledge for decision-making purposes in the context of large projects in The Netherlands

    International Nuclear Information System (INIS)

    Deelstra, Y.; Nooteboom, S.G.; Kohlmann, H.R.; Berg, J. van den; Innanen, S.

    2003-01-01

    Policy-related research in general, and impact assessments in particular, are too loosely connected to decision-making processes. The result is often sub-optimal or even undesirable, as one of two situations arises: (1) much research is done; however, those with the real power to make decisions do not make use of all of the resulting information, or (2) advocates of contrary opinions struggle with each other, using policy-related research as ammunition. To avoid these unwanted situations, the connection between the world of knowledge and the world of decision-making should be carefully constructed, by connecting the process of decision-making to the academic research and carefully developing research goals in response to the demands of decision-makers. By making these connections in a stepwise manner, knowledge may generate new insights and views for involved decision-makers and stakeholders, thus changing perceptions and problem definitions. In this way, these actors learn about the possibilities of several alternatives as well as each other's perceptions, and thus can make educated decisions leading to the most desirable and socially acceptable solution. The way this proposed method works is illustrated using two cases in The Netherlands: the project 'Mainport Rotterdam' (the enlargement of the port of Rotterdam), the project 'A fifth runway for Amsterdam Airport (Schiphol)'

  10. Dynamic classification system in large-scale supervision of energy efficiency in buildings

    International Nuclear Information System (INIS)

    Kiluk, S.

    2014-01-01

    Highlights: • Rough set approximation of classification improves energy efficiency prediction. • Dynamic features of diagnostic classification allow for its precise prediction. • Indiscernibility in large population enhances identification of process features. • Diagnostic information can be refined by dynamic references to local neighbourhood. • We introduce data exploration validation based on system dynamics and uncertainty. - Abstract: Data mining and knowledge discovery applied to the billing data provide the diagnostic instruments for the evaluation of energy use in buildings connected to a district heating network. To ensure the validity of an algorithm-based classification system, the dynamic properties of a sequence of partitions for consecutive detected events were investigated. The information regarding the dynamic properties of the classification system refers to the similarities between the supervised objects and migrations that originate from the changes in the building energy use and loss similarity to their neighbourhood and thus represents the refinement of knowledge. In this study, we demonstrate that algorithm-based diagnostic knowledge has dynamic properties that can be exploited with a rough set predictor to evaluate whether the implementation of classification for supervision of energy use aligns with the dynamics of changes of district heating-supplied building properties. Moreover, we demonstrate the refinement of the current knowledge with the previous findings and we present the creation of predictive diagnostic systems based on knowledge dynamics with a satisfactory level of classification errors, even for non-stationary data

  11. A knowledge based operator support system for emergency conditions in nuclear power plants

    International Nuclear Information System (INIS)

    Venkatesh Babu, C.; Subramanium, K.

    1992-01-01

    The control centres of the operating Indian nuclear power plants contain a large number of indicators and controls spread over many panels. In the event of onset of an emergency condition, there results a profusion of information, both numeric and symbolic. The operator may succumb to an information and cognitive overload that may be compounded by a lack of knowledge. The failure to apply knowledge and reasoning to solve an operational problem can lead to human error, which has been a major contributing factor in nuclear accidents. From the viewpoint of Artificial Intelligence, human error occurs if the operational problem requires computing resources that exceed human capabilities. The application of Artificial Intelligence, particularly expert systems, to nuclear power plant control room activities has considerable potential to reduce operator error and improve safety and reliability. The purpose of this paper is to discuss an investigative study of the feasibility of developing an operator support system incorporating Artificial Intelligence techniques. An information processing model of such a system, herein designated as Knowledge Based Operator Support System - KBOSS, employing expert systems technology, has been developed. The features of this system are described, and issues involved in its development are discussed. (author). 2 refs., 5 figs., 1 tab

  12. Software Reliability Issues Concerning Large and Safety Critical Software Systems

    Science.gov (United States)

    Kamel, Khaled; Brown, Barbara

    1996-01-01

    This research was undertaken to provide NASA with a survey of state-of-the-art techniques using in industrial and academia to provide safe, reliable, and maintainable software to drive large systems. Such systems must match the complexity and strict safety requirements of NASA's shuttle system. In particular, the Launch Processing System (LPS) is being considered for replacement. The LPS is responsible for monitoring and commanding the shuttle during test, repair, and launch phases. NASA built this system in the 1970's using mostly hardware techniques to provide for increased reliability, but it did so often using custom-built equipment, which has not been able to keep up with current technologies. This report surveys the major techniques used in industry and academia to ensure reliability in large and critical computer systems.

  13. Accuracy of the photogrametric measuring system for large size elements

    Directory of Open Access Journals (Sweden)

    M. Grzelka

    2011-04-01

    Full Text Available The aim of this paper is to present methods of estimating and guidelines for verifying the accuracy of optical photogrammetric measuringsystems, using for measurement of large size elements. Measuring systems applied to measure workpieces of a large size which oftenreach more than 10000mm require use of appropriate standards. Those standards provided by the manufacturer of photogrammetricsystems are certified and are inspected annually. To make sure that these systems work properly there was developed a special standardVDI / VDE 2634, "Optical 3D measuring systems. Imaging systems with point - by - point probing. " According to recommendationsdescribed in this standard research on accuracy of photogrametric measuring system was conducted using K class gauge blocks dedicatedto calibrate and test accuracy of classic CMMs. The paper presents results of research of estimation the actual error of indication for sizemeasurement MPEE for photogrammetric coordinate measuring system TRITOP.

  14. Large scale gas chromatographic demonstration system for hydrogen isotope separation

    International Nuclear Information System (INIS)

    Cheh, C.H.

    1988-01-01

    A large scale demonstration system was designed for a throughput of 3 mol/day equimolar mixture of H,D, and T. The demonstration system was assembled and an experimental program carried out. This project was funded by Kernforschungszentrum Karlsruhe, Canadian Fusion Fuel Technology Projects and Ontario Hydro Research Division. Several major design innovations were successfully implemented in the demonstration system and are discussed in detail. Many experiments were carried out in the demonstration system to study the performance of the system to separate hydrogen isotopes at high throughput. Various temperature programming schemes were tested, heart-cutting operation was evaluated, and very large (up to 138 NL/injection) samples were separated in the system. The results of the experiments showed that the specially designed column performed well as a chromatographic column and good separation could be achieved even when a 138 NL sample was injected

  15. Valid knowledge for the professional design of large and complex design processes

    NARCIS (Netherlands)

    Aken, van J.E.

    2004-01-01

    The organization and planning of design processes, which we may regard as design process design, is an important issue. Especially for large and complex design-processes traditional approaches to process design may no longer suffice. The design literature gives quite some design process models. As

  16. Development of automated analytical systems for large throughput

    International Nuclear Information System (INIS)

    Ernst, P.C.; Hoffman, E.L.

    1982-01-01

    The need to be able to handle a large throughput of samples for neutron activation analysis has led to the development of automated counting and sample handling systems. These are coupled with available computer-assisted INAA techniques to perform a wide range of analytical services on a commercial basis. A fully automated delayed neutron counting system and a computer controlled pneumatic transfer for INAA use are described, as is a multi-detector gamma-spectroscopy system. (author)

  17. Algorithms and tools for system identification using prior knowledge

    International Nuclear Information System (INIS)

    Lindskog, P.

    1994-01-01

    One of the hardest problems in system identification is that of model structure selection. In this thesis two different kinds of a priori process knowledge are used to address this fundamental problem. Concentrating on linear model structures, the first prior advantage of is knowledge about the systems' dominating time constants and resonance frequencies. The idea is to generalize FIR modelling by replacing the usual delay operator with discrete so-called Laguerre or Kautz filters. The generalization is such that stability, the linear regression structure and the approximation ability of the FIR model structure is retained, whereas the prior is used to reduce the number of parameters needed to arrive at a reasonable model. Tailorized and efficient system identification algorithms for these model structures are detailed in this work. The usefulness of the proposed methods is demonstrated through concrete simulation and application studies. The other approach is referred to as semi-physical modelling. The main idea is to use simple physical insight into the application, often in terms of a set of unstructured equations, in order to come up with suitable nonlinear transformation of the raw measurements, so as to allow for a good model structure. Semi-physical modelling is less ''ambitious'' than physical modelling in that no complete physical structure is sought, just combinations of inputs and outputs that can be subjected to more or less standard model structures, such as linear regressions. The suggested modelling procedure shows a first step where symbolic computations are employed to determine a suitable model structure - a set of regressors. We show how constructive methods from commutative and differential algebra can be applied for this. Subsequently, different numerical schemes for finding a subset of ''good'' regressors and for estimating the corresponding linear-in-the-parameters model are discussed. 107 refs, figs, tabs

  18. Managing Knowledge Performance: Testing the Components of a Knowledge Management System on Organizational Performance

    Science.gov (United States)

    Cho, Taejun; Korte, Russell

    2014-01-01

    The main purpose of the current study is to validate the framework of knowledge management (KM) capabilities created by Gold ("Towards a theory of organizational knowledge management capabilities." Doctoral dissertation, University of North Carolina, Chapel Hill) 2001) in a study of South Korean companies. However, the original framework…

  19. Using decision-tree classifier systems to extract knowledge from databases

    Science.gov (United States)

    St.clair, D. C.; Sabharwal, C. L.; Hacke, Keith; Bond, W. E.

    1990-01-01

    One difficulty in applying artificial intelligence techniques to the solution of real world problems is that the development and maintenance of many AI systems, such as those used in diagnostics, require large amounts of human resources. At the same time, databases frequently exist which contain information about the process(es) of interest. Recently, efforts to reduce development and maintenance costs of AI systems have focused on using machine learning techniques to extract knowledge from existing databases. Research is described in the area of knowledge extraction using a class of machine learning techniques called decision-tree classifier systems. Results of this research suggest ways of performing knowledge extraction which may be applied in numerous situations. In addition, a measurement called the concept strength metric (CSM) is described which can be used to determine how well the resulting decision tree can differentiate between the concepts it has learned. The CSM can be used to determine whether or not additional knowledge needs to be extracted from the database. An experiment involving real world data is presented to illustrate the concepts described.

  20. Challenges in parameter identification of large structural dynamic systems

    International Nuclear Information System (INIS)

    Koh, C.G.

    2001-01-01

    In theory, it is possible to determine the parameters of a structural or mechanical system by subjecting it to some dynamic excitation and measuring the response. Considerable research has been carried out in this subject area known as the system identification over the past two decades. Nevertheless, the challenges associated with numerical convergence are still formidable when the system is large in terms of the number of degrees of freedom and number of unknowns. While many methods work for small systems, the convergence becomes difficult, if not impossible, for large systems. In this keynote lecture, both classical and non-classical system identification methods for dynamic testing and vibration-based inspection are discussed. For classical methods, the extended Kalman filter (EKF) approach is used. On this basis, a substructural identification method has been developed as a strategy to deal with large structural systems. This is achieved by reducing the problem size, thereby significantly improving the numerical convergence and efficiency. Two versions of this method are presented each with its own merits. A numerical example of frame structure with 20 unknown parameters is illustrated. For non-classical methods, the Genetic Algorithm (GA) is shown to be applicable with relative ease due to its 'forward analysis' nature. The computational time is, however, still enormous for large structural systems due to the combinatorial explosion problem. A model GA method has been developed to address this problem and tested with considerable success on a relatively large system of 50 degrees of freedom, accounting for input and output noise effects. An advantages of this GA-based identification method is that the objective function can be defined in response measured. Numerical studies show that the method is relatively robust, as it does in response measured. Numerical studies show that the method is relatively robust, as it dos not require good initial guess and the

  1. USE OF ONTOLOGIES FOR KNOWLEDGE BASES CREATION TUTORING COMPUTER SYSTEMS

    Directory of Open Access Journals (Sweden)

    Cheremisina Lyubov

    2014-11-01

    Full Text Available This paper deals with the use of ontology for the use and development of intelligent tutoring systems. We consider the shortcomings of educational software and distance learning systems and the advantages of using ontology’s in their design. Actuality creates educational computer systems based on systematic knowledge. We consider classification of properties, use and benefits of ontology’s. Characterized approaches to the problem of ontology mapping, the first of which – manual mapping, the second – a comparison of the names of concepts based on their lexical similarity and using special dictionaries. The analysis of languages available for the formal description of ontology. Considered a formal mathematical model of ontology’s and ontology consistency problem, which is that different developers for the same domain ontology can be created, syntactically or semantically heterogeneous, and their use requires a compatible broadcast or display. An algorithm combining ontology’s. The characteristic of the practical value of developing an ontology for electronic educational resources and recommendations for further research and development, such as implementation of other components of the system integration, formalization of the processes of integration and development of a universal expansion algorithms ontology’s software

  2. Impact of biology knowledge on the conservation and management of large pelagic sharks

    OpenAIRE

    Yokoi, Hiroki; Ijima, Hirotaka; Ohshimo, Seiji; Yokawa, Kotaro

    2017-01-01

    Population growth rate, which depends on several biological parameters, is valuable information for the conservation and management of pelagic sharks, such as blue and shortfin mako sharks. However, reported biological parameters for estimating the population growth rates of these sharks differ by sex and display large variability. To estimate the appropriate population growth rate and clarify relationships between growth rate and relevant biological parameters, we developed a two-sex age-str...

  3. Impact of biology knowledge on the conservation and management of large pelagic sharks.

    Science.gov (United States)

    Yokoi, Hiroki; Ijima, Hirotaka; Ohshimo, Seiji; Yokawa, Kotaro

    2017-09-06

    Population growth rate, which depends on several biological parameters, is valuable information for the conservation and management of pelagic sharks, such as blue and shortfin mako sharks. However, reported biological parameters for estimating the population growth rates of these sharks differ by sex and display large variability. To estimate the appropriate population growth rate and clarify relationships between growth rate and relevant biological parameters, we developed a two-sex age-structured matrix population model and estimated the population growth rate using combinations of biological parameters. We addressed elasticity analysis and clarified the population growth rate sensitivity. For the blue shark, the estimated median population growth rate was 0.384 with a range of minimum and maximum values of 0.195-0.533, whereas those values of the shortfin mako shark were 0.102 and 0.007-0.318, respectively. The maturity age of male sharks had the largest impact for blue sharks, whereas that of female sharks had the largest impact for shortfin mako sharks. Hypotheses for the survival process of sharks also had a large impact on the population growth rate estimation. Both shark maturity age and survival rate were based on ageing validation data, indicating the importance of validating the quality of these data for the conservation and management of large pelagic sharks.

  4. Performance Health Monitoring of Large-Scale Systems

    Energy Technology Data Exchange (ETDEWEB)

    Rajamony, Ram [IBM Research, Austin, TX (United States)

    2014-11-20

    This report details the progress made on the ASCR funded project Performance Health Monitoring for Large Scale Systems. A large-­scale application may not achieve its full performance potential due to degraded performance of even a single subsystem. Detecting performance faults, isolating them, and taking remedial action is critical for the scale of systems on the horizon. PHM aims to develop techniques and tools that can be used to identify and mitigate such performance problems. We accomplish this through two main aspects. The PHM framework encompasses diagnostics, system monitoring, fault isolation, and performance evaluation capabilities that indicates when a performance fault has been detected, either due to an anomaly present in the system itself or due to contention for shared resources between concurrently executing jobs. Software components called the PHM Control system then build upon the capabilities provided by the PHM framework to mitigate degradation caused by performance problems.

  5. Large Scale GW Calculations on the Cori System

    Science.gov (United States)

    Deslippe, Jack; Del Ben, Mauro; da Jornada, Felipe; Canning, Andrew; Louie, Steven

    The NERSC Cori system, powered by 9000+ Intel Xeon-Phi processors, represents one of the largest HPC systems for open-science in the United States and the world. We discuss the optimization of the GW methodology for this system, including both node level and system-scale optimizations. We highlight multiple large scale (thousands of atoms) case studies and discuss both absolute application performance and comparison to calculations on more traditional HPC architectures. We find that the GW method is particularly well suited for many-core architectures due to the ability to exploit a large amount of parallelism across many layers of the system. This work was supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division, as part of the Computational Materials Sciences Program.

  6. Trainee Knowledge of Imaging Appropriateness and Safety: Results of a Series of Surveys From a Large Academic Medical Center.

    Science.gov (United States)

    Hollingsworth, Thaddeus D; Duszak, Richard; Vijayasarathi, Arvind; Gelbard, Rondi B; Mullins, Mark E

    2017-10-31

    In order to provide high quality care to their patients and utilize imaging most judiciously, physician trainees should possess a working knowledge of appropriate use, radiation dose, and safety. Prior work has suggested knowledge gaps in similar areas. We aimed to evaluate the knowledge of imaging appropriateness, radiation dose, and MRI and contrast safety of physician trainees across a variety of specialties. Between May 2016 and January 2017, three online surveys were distributed to all interns, residents, and fellows in ACGME accredited training programs at a large academic institution over two academic years. Response rates to three surveys ranged from 17.2% (218 of 1266) for MRI and contrast material safety, 19.1% (242 of 1266) for imaging appropriateness, to19.9% (246 of 1238) for radiation dose. Overall 72% (509 of 706) of survey respondents reported regularly ordering diagnostic imaging examinations, but fewer than half (47.8%; 470 of 984) could correctly estimate radiation dose across four commonly performed imaging studies. Only one third (34%; 167 of 488) of trainees chose appropriate imaging in scenarios involving pregnant patients. Trainee post-graduate year was not significantly correlated with overall radiation safety scores, and no significant difference was found between radiation safety or appropriate imaging scores of those who participated in a medical school radiology elective vs. those who did not. A total of 84% (57 of 68) of radiology trainees and 43% (269 of 630) of non-radiology trainees considered their knowledge adequate but that correlated only weakly correlated to actual knowledge scores (pimaging safety exist among many trainees. In order to enhance the value of imaging at the population level, further work is needed to assess the most appropriate method and stage of training to address these knowledge gaps. Copyright © 2017 Elsevier Inc. All rights reserved.

  7. A model for a knowledge-based system's life cycle

    Science.gov (United States)

    Kiss, Peter A.

    1990-01-01

    The American Institute of Aeronautics and Astronautics has initiated a Committee on Standards for Artificial Intelligence. Presented here are the initial efforts of one of the working groups of that committee. The purpose here is to present a candidate model for the development life cycle of Knowledge Based Systems (KBS). The intent is for the model to be used by the Aerospace Community and eventually be evolved into a standard. The model is rooted in the evolutionary model, borrows from the spiral model, and is embedded in the standard Waterfall model for software development. Its intent is to satisfy the development of both stand-alone and embedded KBSs. The phases of the life cycle are detailed as are and the review points that constitute the key milestones throughout the development process. The applicability and strengths of the model are discussed along with areas needing further development and refinement by the aerospace community.

  8. Evaluasi Knowledge Management System di Kompas Gramedia Menggunakan Analisis Faktor

    Directory of Open Access Journals (Sweden)

    Desi Maya Kristin

    2013-06-01

    Full Text Available Evaluation of Knowledge Management System (KMS is performed to determine the state of KM Portal and provide suggestions to improve the benefits and usability for employee and the company. The evaluation analysis of KMS uses factor analysis to determine the factors that influence user awareness in using KM Portal of Kompas Gramedia. The analysis shows three factors: the quality of KM Portal and user support; user participation; processes and procedures. All factors produced a model that can be used for the control of KM Portal. In accordance with the data processing, the current state of KM Portal is enough. This situation has not yet met the standards that company desires so the company needs further development to obtain a perfect score. 

  9. OWL2 benchmarking for the evaluation of knowledge based systems.

    Directory of Open Access Journals (Sweden)

    Sher Afgun Khan

    Full Text Available OWL2 semantics are becoming increasingly popular for the real domain applications like Gene engineering and health MIS. The present work identifies the research gap that negligible attention has been paid to the performance evaluation of Knowledge Base Systems (KBS using OWL2 semantics. To fulfil this identified research gap, an OWL2 benchmark for the evaluation of KBS is proposed. The proposed benchmark addresses the foundational blocks of an ontology benchmark i.e. data schema, workload and performance metrics. The proposed benchmark is tested on memory based, file based, relational database and graph based KBS for performance and scalability measures. The results show that the proposed benchmark is able to evaluate the behaviour of different state of the art KBS on OWL2 semantics. On the basis of the results, the end users (i.e. domain expert would be able to select a suitable KBS appropriate for his domain.

  10. Genome Modeling System: A Knowledge Management Platform for Genomics.

    Directory of Open Access Journals (Sweden)

    Malachi Griffith

    2015-07-01

    Full Text Available In this work, we present the Genome Modeling System (GMS, an analysis information management system capable of executing automated genome analysis pipelines at a massive scale. The GMS framework provides detailed tracking of samples and data coupled with reliable and repeatable analysis pipelines. The GMS also serves as a platform for bioinformatics development, allowing a large team to collaborate on data analysis, or an individual researcher to leverage the work of others effectively within its data management system. Rather than separating ad-hoc analysis from rigorous, reproducible pipelines, the GMS promotes systematic integration between the two. As a demonstration of the GMS, we performed an integrated analysis of whole genome, exome and transcriptome sequencing data from a breast cancer cell line (HCC1395 and matched lymphoblastoid line (HCC1395BL. These data are available for users to test the software, complete tutorials and develop novel GMS pipeline configurations. The GMS is available at https://github.com/genome/gms.

  11. Recovering from trust breakdowns in large system implementations

    DEFF Research Database (Denmark)

    Rerup Schlichter, Bjarne Rerup; Andersen, Povl Erik Rostgård

    2011-01-01

    On the basis of experiences from the Faroese large-scale implementation of integrated healthcare information systems and insights into dynamic aspects of trust, we offer the following lessons learned for the successful management and recovery of trust (breakdowns) in large system implementations......: restore relations by turning towards face-to-face events and procedures, assure a well-functioning and available support organization, demonstrate trust in actors to enhance their own self-confidence and celebrate successes, even the smallest or ones injected by yourself. The propositions are based on a 6...

  12. Knowledge-Based Management System and Dearth of Flexible ...

    African Journals Online (AJOL)

    This paper examined the recent evolution of the software engineering industry to show ... knowledge modelling, cognitive programming KB-software assistant, knowledge model. Full Text: EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT

  13. Socially Grounded Analysis of Knowledge Management Systems and Processes

    NARCIS (Netherlands)

    Guizzardi, R.S.S.; Perini, A.; Dignum, V.

    2008-01-01

    In the struggle to survive and compete in face of constant technological changes and unstable business environments, organizations recognize knowledge as its most valuable asset. Consequently, these organizations often invest on Knowledge Management (KM), seeking to enhance their internal processes

  14. Automated knowledge acquisition for second generation knowledge base systems: A conceptual analysis and taxonomy

    Energy Technology Data Exchange (ETDEWEB)

    Williams, K.E.; Kotnour, T.

    1991-01-01

    In this paper, we present a conceptual analysis of knowledge-base development methodologies. The purpose of this research is to help overcome the high cost and lack of efficiency in developing knowledge base representations for artificial intelligence applications. To accomplish this purpose, we analyzed the available methodologies and developed a knowledge-base development methodology taxonomy. We review manual, machine-aided, and machine-learning methodologies. A set of developed characteristics allows description and comparison among the methodologies. We present the results of this conceptual analysis of methodologies and recommendations for development of more efficient and effective tools.

  15. Automated knowledge acquisition for second generation knowledge base systems: A conceptual analysis and taxonomy

    Energy Technology Data Exchange (ETDEWEB)

    Williams, K.E.; Kotnour, T.

    1991-12-31

    In this paper, we present a conceptual analysis of knowledge-base development methodologies. The purpose of this research is to help overcome the high cost and lack of efficiency in developing knowledge base representations for artificial intelligence applications. To accomplish this purpose, we analyzed the available methodologies and developed a knowledge-base development methodology taxonomy. We review manual, machine-aided, and machine-learning methodologies. A set of developed characteristics allows description and comparison among the methodologies. We present the results of this conceptual analysis of methodologies and recommendations for development of more efficient and effective tools.

  16. Role of the motor system in language knowledge.

    Science.gov (United States)

    Berent, Iris; Brem, Anna-Katharine; Zhao, Xu; Seligson, Erica; Pan, Hong; Epstein, Jane; Stern, Emily; Galaburda, Albert M; Pascual-Leone, Alvaro

    2015-02-17

    All spoken languages express words by sound patterns, and certain patterns (e.g., blog) are systematically preferred to others (e.g., lbog). What principles account for such preferences: does the language system encode abstract rules banning syllables like lbog, or does their dislike reflect the increased motor demands associated with speech production? More generally, we ask whether linguistic knowledge is fully embodied or whether some linguistic principles could potentially be abstract. To address this question, here we gauge the sensitivity of English speakers to the putative universal syllable hierarchy (e.g., blif ≻ bnif ≻ bdif ≻ lbif) while undergoing transcranial magnetic stimulation (TMS) over the cortical motor representation of the left orbicularis oris muscle. If syllable preferences reflect motor simulation, then worse-formed syllables (e.g., lbif) should (i) elicit more errors; (ii) engage more strongly motor brain areas; and (iii) elicit stronger effects of TMS on these motor regions. In line with the motor account, we found that repetitive TMS pulses impaired participants' global sensitivity to the number of syllables, and functional MRI confirmed that the cortical stimulation site was sensitive to the syllable hierarchy. Contrary to the motor account, however, ill-formed syllables were least likely to engage the lip sensorimotor area and they were least impaired by TMS. Results suggest that speech perception automatically triggers motor action, but this effect is not causally linked to the computation of linguistic structure. We conclude that the language and motor systems are intimately linked, yet distinct. Language is designed to optimize motor action, but its knowledge includes principles that are disembodied and potentially abstract.

  17. Role of the motor system in language knowledge

    Science.gov (United States)

    Berent, Iris; Brem, Anna-Katharine; Zhao, Xu; Seligson, Erica; Pan, Hong; Epstein, Jane; Stern, Emily; Galaburda, Albert M.; Pascual-Leone, Alvaro

    2015-01-01

    All spoken languages express words by sound patterns, and certain patterns (e.g., blog) are systematically preferred to others (e.g., lbog). What principles account for such preferences: does the language system encode abstract rules banning syllables like lbog, or does their dislike reflect the increased motor demands associated with speech production? More generally, we ask whether linguistic knowledge is fully embodied or whether some linguistic principles could potentially be abstract. To address this question, here we gauge the sensitivity of English speakers to the putative universal syllable hierarchy (e.g., blif≻bnif≻bdif≻lbif) while undergoing transcranial magnetic stimulation (TMS) over the cortical motor representation of the left orbicularis oris muscle. If syllable preferences reflect motor simulation, then worse-formed syllables (e.g., lbif) should (i) elicit more errors; (ii) engage more strongly motor brain areas; and (iii) elicit stronger effects of TMS on these motor regions. In line with the motor account, we found that repetitive TMS pulses impaired participants’ global sensitivity to the number of syllables, and functional MRI confirmed that the cortical stimulation site was sensitive to the syllable hierarchy. Contrary to the motor account, however, ill-formed syllables were least likely to engage the lip sensorimotor area and they were least impaired by TMS. Results suggest that speech perception automatically triggers motor action, but this effect is not causally linked to the computation of linguistic structure. We conclude that the language and motor systems are intimately linked, yet distinct. Language is designed to optimize motor action, but its knowledge includes principles that are disembodied and potentially abstract. PMID:25646465

  18. Knowledge of risk factors and the periodontal disease-systemic link in dental students' clinical decisions.

    Science.gov (United States)

    Friesen, Lynn Roosa; Walker, Mary P; Kisling, Rebecca E; Liu, Ying; Williams, Karen B

    2014-09-01

    This study evaluated second-, third-, and fourth-year dental students' ability to identify systemic conditions associated with periodontal disease, risk factors most important for referral, and medications with an effect on the periodontium and their ability to apply this knowledge to make clinical decisions regarding treatment and referral of periodontal patients. A twenty-one question survey was administered at one U.S. dental school in the spring semester of 2012 to elicit the students' knowledge and confidence regarding clinical reasoning. The response rate was 86 percent. Periodontal risk factors were accurately selected by at least 50 percent of students in all three classes; these were poorly controlled diabetes, ≥6 mm pockets posteriorly, and lack of response to previous non-surgical therapy. Confidence in knowledge, knowledge of risk factors, and knowledge of medications with an effect on the periodontium improved with training and were predictive of better referral decision making. The greatest impact of training was seen on the students' ability to make correct decisions about referral and treatment for seven clinical scenarios. Although the study found a large increase in the students' abilities from the second through fourth years, the mean of 4.6 (out of 7) for the fourth-year students shows that, on average, those students missed correct treatment or referral on more than two of seven clinical cases. These results suggest that dental curricula should emphasize more critical decision making with respect to referral and treatment criteria in managing the periodontal patient.

  19. Designing a fuzzy expert system for selecting knowledge management strategy

    OpenAIRE

    Ameneh Khadivar; Shohreh Nasri Nasr Abadi; Elham Fallah

    2014-01-01

    knowledge management strategy is mentioned as one of the most important success factors for implementing knowledge management. The KM strategy selection is a complex decision that requires consideration of several factors. For evaluation and selection of an appropriate knowledge management strategy in organizations, many factors must be considered. The identified factors and their impact on knowledge management strategy are inherently ambiguous. In this study, an overview of theoretical found...

  20. Knowledge-Based operation planning system for boiling water reactors

    International Nuclear Information System (INIS)

    Tatsuya Iwamoto; Shungo Sakurai; Hitoshi Uematsu; Makoto Tsuiki

    1987-01-01

    A knowledge-Based Boiling Water Reactor operation planning system was developed to support core operators or core management engineers in making core operation plans, by automatically generating suboptimum core operation procedures. The procedures are obtained by searching a branching tree of the possible core status (nodes) and the elementary operations to change the core status (branches). A path that ends at the target node, and contains only operationally feasible nodes can be a candidate of the solution. The core eigenvalue, the power distribution and the thermal limit parameters at key points are calculated by running a three-dimensional (3-D) BWR core physics simulator to examine the feasibility of the nodes and the performance of candidates. To obtain a practically acceptable solution within a reasonable time rather than making a time-consuming effort to get the optimum one, the Depth-First-Search method, together with the heuristic branch-bounding, was used to search the branching tree. The system was applied to actual operation plannings with real plant data, and gave satisfactory results. It can be concluded that the system can be applied to generate core operation procedures as a substitute for core management experts

  1. Extraction of tacit knowledge from large ADME data sets via pairwise analysis.

    Science.gov (United States)

    Keefer, Christopher E; Chang, George; Kauffman, Gregory W

    2011-06-15

    Pharmaceutical companies routinely collect data across multiple projects for common ADME endpoints. Although at the time of collection the data is intended for use in decision making within a specific project, knowledge can be gained by data mining the entire cross-project data set for patterns of structure-activity relationships (SAR) that may be applied to any project. One such data mining method is pairwise analysis. This method has the advantage of being able to identify small structural changes that lead to significant changes in activity. In this paper, we describe the process for full pairwise analysis of our high-throughput ADME assays routinely used for compound discovery efforts at Pfizer (microsomal clearance, passive membrane permeability, P-gp efflux, and lipophilicity). We also describe multiple strategies for the application of these transforms in a prospective manner during compound design. Finally, a detailed analysis of the activity patterns in pairs of compounds that share the same molecular transformation reveals multiple types of transforms from an SAR perspective. These include bioisosteres, additives, multiplicatives, and a type we call switches as they act to either turn on or turn off an activity. Copyright © 2011 Elsevier Ltd. All rights reserved.

  2. Study of grounding system of large tokamak device JT-60

    International Nuclear Information System (INIS)

    Arakawa, Kiyotsugu; Shimada, Ryuichi; Kishimoto, Hiroshi; Yabuno, Kohei; Ishigaki, Yukio.

    1982-01-01

    In the critical plasma testing facility JT-60 constructed by the Japan Atomic Energy Research Institute, high voltage, large current is required in an instant. Accordingly, for the protection of human bodies and the equipment, and for realizing the stable operation of the complex, precise control and measurement system, a large scale facility of grounding system is required. In case of the JT-60 experimental facility, the equipments with different functions in separate buildings are connected, therefore, it is an important point to avoid high potential difference between buildings. In the grounding system for the JT-60, a reticulate grounding electrode is laid for each building, and these electrodes are connected with a low impedance metallic duct called grounding trunk line. The power supply cables for various magnetic field coils, control lines and measurement lines are laid in the duct. It is a large problem to grasp quantitatively the effect of a grounding trunk line by analysis. The authors analyzed the phenomenon that large current flows into a grounding system by lightning strike or grounding. The fundamental construction of the grounding system for the JT-60, the condition for the analysis and the result of simulation are reported. (Kako, I.)

  3. Framework and methodology for knowledge management system implementation

    CSIR Research Space (South Africa)

    Smuts, H

    2009-10-01

    Full Text Available Knowledge assets are of far greater value than any tangible asset and provide organisations with the basis for creating a sustainable competitive advantage. The nature of knowledge and knowledge management have given rise to a range of different...

  4. A document preparation system in a large network environment

    Energy Technology Data Exchange (ETDEWEB)

    Vigil, M.; Bouchier, S.; Sanders, C.; Sydoriak, S.; Wheeler, K.

    1988-01-01

    At Los Alamos National Laboratory, we have developed an integrated document preparation system that produces publication-quality documents. This system combines text formatters and computer graphics capabilities that have been adapted to meet the needs of users in a large scientific research laboratory. This paper describes the integration of document processing technology to develop a system architecture, based on a page description language, to provide network-wide capabilities in a distributed computing environment. We describe the Laboratory requirements, the integration and implementation issues, and the challenges we faced developing this system.

  5. From a Proven Correct Microkernel to Trustworthy Large Systems

    Science.gov (United States)

    Andronick, June

    The seL4 microkernel was the world's first general-purpose operating system kernel with a formal, machine-checked proof of correctness. The next big step in the challenge of building truly trustworthy systems is to provide a framework for developing secure systems on top of seL4. This paper first gives an overview of seL4's correctness proof, together with its main implications and assumptions, and then describes our approach to provide formal security guarantees for large, complex systems.

  6. Turbomolecular pump vacuum system for the Princeton Large Torus

    International Nuclear Information System (INIS)

    Dylla, H.F.

    1977-10-01

    A turbomolecular pump vacuum system has been designed and installed on the Princeton Large Torus (PLT). Four vertical shaft, oil-bearing, 1500 l/s turbomolecular pumps have been interfaced to the 6400 liter PLT Vacuum vessel to provide a net pumping speed of 3000 l/s for H 2 . The particular requirements and problems of tokamak vacuum systems are enumerated. A vacuum control system is described which protects the vacuum vessel from contamination, and protects the turbomolecular pumps from damage under a variety of possible failure modes. The performance of the vacuum system is presented in terms of pumping speed measurements and residual gas behavior

  7. Value of flexibility in systems with large wind penetration

    OpenAIRE

    Silva , Vera

    2010-01-01

    The focus of this thesis is the quantification of the value of operation flexibility in systems with large penetration of wind generation. This begins with the quantification of the impact of wind generation (WG) uncertainty on the system's needs for frequency regulation and reserve. This is done by combing the stochastic behaviour of wind generation, demand uncertainty and generation outages. Two different approaches are compared to access the implications of using normal distribution approx...

  8. Mode 3 knowledge production: Systems and systems theory, clusters and networks

    OpenAIRE

    Carayannis, Elias G.; Campbell, David F. J.; Rehman, Scheherazade S.

    2016-01-01

    With the comprehensive term of "Mode 3," we want to draw a conceptual link between systems and systems theory and want to demonstrate further how this can be applied to knowledge in the next steps. Systems can be understood as being composed of "elements", which are tied together by a "self-rationale". For innovation, often innovation clusters and innovation networks are being regarded as important. By leveraging systems theory for innovation concepts, one can implement references between the...

  9. Current knowledge of the South East Asian large branchiopod Crustacea (Anostraca, Notostraca, Laevicaudata, Spinicaudata, Cyclestherida

    Directory of Open Access Journals (Sweden)

    D. Christopher Rogers

    2013-08-01

    Full Text Available The large branchiopod crustaceans (fairy shrimp, tadpole shrimp and clam shrimp of South East (SE Asia have only recently been examined with scientific vigor. Although more than 70 species have been reported for Asia and Indonesia, only six native taxa and one introduced species are known from SE Asia. The majority of records are from Thailand, with fewer than three records each from Laos, Myanmar, Malaysia, Cambodia, Vietnam, and Singapore. Eleven genera reported from adjacent regions may potentially occur in SE Asia. Spinicaudatan clam shrimp have been collected from Thailand and Cambodia, but have not been identified beyond genus. Four of the five native fairy shrimp species are endemic to SE Asia. The limited distributions of these few taxa suggest that this region has a distinct branchiopod fauna. In addition, we present new species and records of clam shrimp from Thailand. Future survey efforts will undoubtedly reveal additional taxa.

  10. Collaboration and Virtualization in Large Information Systems Projects

    Directory of Open Access Journals (Sweden)

    Stefan Ioan NITCHI

    2009-01-01

    Full Text Available A project is evolving through different phases from idea and conception until the experiments, implementation and maintenance. The globalization, the Internet, the Web and the mobile computing changed many human activities, and in this respect, the realization of the Information System (IS projects. The projects are growing, the teams are geographically distributed, and the users are heterogeneous. In this respect, the realization of the large Information Technology (IT projects needs to use collaborative technologies. The distribution of the team, the users' heterogeneity and the project complexity determines the virtualization. This paper is an overview of these aspects for large IT projects. It shortly present a general framework developed by the authors for collaborative systems in general and adapted to collaborative project management. The general considerations are illustrated on the case of a large IT project in which the authors were involved.

  11. Highly uniform parallel microfabrication using a large numerical aperture system

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Zi-Yu; Su, Ya-Hui, E-mail: ustcsyh@ahu.edu.cn, E-mail: dongwu@ustc.edu.cn [School of Electrical Engineering and Automation, Anhui University, Hefei 230601 (China); Zhang, Chen-Chu; Hu, Yan-Lei; Wang, Chao-Wei; Li, Jia-Wen; Chu, Jia-Ru; Wu, Dong, E-mail: ustcsyh@ahu.edu.cn, E-mail: dongwu@ustc.edu.cn [CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026 (China)

    2016-07-11

    In this letter, we report an improved algorithm to produce accurate phase patterns for generating highly uniform diffraction-limited multifocal arrays in a large numerical aperture objective system. It is shown that based on the original diffraction integral, the uniformity of the diffraction-limited focal arrays can be improved from ∼75% to >97%, owing to the critical consideration of the aperture function and apodization effect associated with a large numerical aperture objective. The experimental results, e.g., 3 × 3 arrays of square and triangle, seven microlens arrays with high uniformity, further verify the advantage of the improved algorithm. This algorithm enables the laser parallel processing technology to realize uniform microstructures and functional devices in the microfabrication system with a large numerical aperture objective.

  12. Local decoherence-resistant quantum states of large systems

    Energy Technology Data Exchange (ETDEWEB)

    Mishra, Utkarsh; Sen, Aditi; Sen, Ujjwal, E-mail: ujjwal@hri.res.in

    2015-02-06

    We identify an effectively decoherence-free class of quantum states, each of which consists of a “minuscule” and a “large” sector, against local noise. In particular, the content of entanglement and other quantum correlations in the minuscule to large partition is independent of the number of particles in their large sectors, when all the particles suffer passage through local amplitude and phase damping channels. The states of the large sectors are distinct in terms of markedly different amounts of violation of Bell inequality. In case the large sector is macroscopic, such states are akin to the Schrödinger cat. - Highlights: • We identify an effectively decoherence-free class of quantum states of large systems. • We work with local noise models. • Decay of entanglement as well as information-theoretic quantum correlations considered. • The states are of the form of the Schrödinger cats, with minuscule and large sectors. • The states of the large sector are distinguishable by their violation of Bell inequality.

  13. Steiner systems and large non-Hamiltonian hypergraphs

    Directory of Open Access Journals (Sweden)

    Zsolt Tuza

    2006-10-01

    Full Text Available From Steiner systems S(k − 2, 2k − 3, v, we construct k-uniform hyper- graphs of large size without Hamiltonian cycles. This improves previous estimates due to G. Y. Katona and H. Kierstead [J. Graph Theory 30 (1999, pp.  205–212].

  14. Participatory Design and the Challenges of Large-Scale Systems

    DEFF Research Database (Denmark)

    Simonsen, Jesper; Hertzum, Morten

    2008-01-01

    With its 10th biannual anniversary conference, Participatory Design (PD) is leaving its teens and must now be considered ready to join the adult world. In this article we encourage the PD community to think big: PD should engage in large-scale information-systems development and opt for a PD...

  15. Economic viability of large-scale fusion systems

    Energy Technology Data Exchange (ETDEWEB)

    Helsley, Charles E., E-mail: cehelsley@fusionpowercorporation.com; Burke, Robert J.

    2014-01-01

    A typical modern power generation facility has a capacity of about 1 GWe (Gigawatt electric) per unit. This works well for fossil fuel plants and for most fission facilities for it is large enough to support the sophisticated generation infrastructure but still small enough to be accommodated by most utility grid systems. The size of potential fusion power systems may demand a different viewpoint. The compression and heating of the fusion fuel for ignition requires a large driver, even if it is necessary for only a few microseconds or nanoseconds per energy pulse. The economics of large systems, that can effectively use more of the driver capacity, need to be examined. The assumptions used in this model are specific for the Fusion Power Corporation (FPC) SPRFD process but could be generalized for any system. We assume that the accelerator is the most expensive element of the facility and estimate its cost to be $20 billion. Ignition chambers and fuel handling facilities are projected to cost $1.5 billion each with up to 10 to be serviced by one accelerator. At first this seems expensive but that impression has to be tempered by the energy output that is equal to 35 conventional nuclear plants. This means the cost per kWh is actually low. Using the above assumptions and industry data for generators and heat exchange systems, we conclude that a fully utilized fusion system will produce marketable energy at roughly one half the cost of our current means of generating an equivalent amount of energy from conventional fossil fuel and/or fission systems. Even fractionally utilized systems, i.e. systems used at 25% of capacity, can be cost effective in many cases. In conclusion, SPRFD systems can be scaled to a size and configuration that can be economically viable and very competitive in today's energy market. Electricity will be a significant element in the product mix but synthetic fuels and water may also need to be incorporated to make the large system

  16. Economic viability of large-scale fusion systems

    International Nuclear Information System (INIS)

    Helsley, Charles E.; Burke, Robert J.

    2014-01-01

    A typical modern power generation facility has a capacity of about 1 GWe (Gigawatt electric) per unit. This works well for fossil fuel plants and for most fission facilities for it is large enough to support the sophisticated generation infrastructure but still small enough to be accommodated by most utility grid systems. The size of potential fusion power systems may demand a different viewpoint. The compression and heating of the fusion fuel for ignition requires a large driver, even if it is necessary for only a few microseconds or nanoseconds per energy pulse. The economics of large systems, that can effectively use more of the driver capacity, need to be examined. The assumptions used in this model are specific for the Fusion Power Corporation (FPC) SPRFD process but could be generalized for any system. We assume that the accelerator is the most expensive element of the facility and estimate its cost to be $20 billion. Ignition chambers and fuel handling facilities are projected to cost $1.5 billion each with up to 10 to be serviced by one accelerator. At first this seems expensive but that impression has to be tempered by the energy output that is equal to 35 conventional nuclear plants. This means the cost per kWh is actually low. Using the above assumptions and industry data for generators and heat exchange systems, we conclude that a fully utilized fusion system will produce marketable energy at roughly one half the cost of our current means of generating an equivalent amount of energy from conventional fossil fuel and/or fission systems. Even fractionally utilized systems, i.e. systems used at 25% of capacity, can be cost effective in many cases. In conclusion, SPRFD systems can be scaled to a size and configuration that can be economically viable and very competitive in today's energy market. Electricity will be a significant element in the product mix but synthetic fuels and water may also need to be incorporated to make the large system economically

  17. Knowledge and awareness of hypertension among patients with systemic hypertension.

    Science.gov (United States)

    Familoni, B. Oluranti; Ogun, S. Abayomi; Aina, A. Olutoyin

    2004-01-01

    BACKGROUND: In Nigeria, systemic hypertension is the commonest noncommunicable disease, and public awareness about hypertension and its determinants is poor. This study aims to assess the knowledge and level of awareness of the disease among hypertensive patients attending the medical outpatient clinic of Olabisi Onabanjo University Teaching Hospital (OOUTH). METHODOLOGY: Hypertensive patients who attended the medical outpatient clinic during the one-year study period and gave their consent were recruited into the study. Response to a questionnaire on various aspects of hypertension was analyzed using the STATA for Windows software. RESULTS: There were 254 hypertensive patients, of which 111 were males and 143 were females, giving a male: female ratio of 1:1.3. The mean age (SD) of the patients was 51 years +/- 12.2; 52.4% of the participants were aware that hypertension was the commonest noncommunicable disease in Nigeria. About one in 10 patients (11.4%) was aware that "nil symptom" is the commonest symptom of hypertension, while 37% were not aware that hypertension could cause renal failure. Only about one-third (35.4%) of the patients knew that hypertension should ideally be treated for life, while 58.3% believed that antihypertensive drugs should be used only when there are symptoms. The remaining 6.3% believed that the treatment of hypertension should be for periods ranging from two weeks to five years but not for life. CONCLUSION: This study has demonstrated inadequate knowledge of hypertension in patients with hypertension in our study population. Conscious efforts should be made and time set aside to health educate hypertensive patients. Organization of "hypertensive club or society" could be encouraged. These will reduce dissemination of false or inaccurate information by hypertensive patients to the public and its attendant dangers. PMID:15160976

  18. NetWeaver for EMDS user guide (version 1.1): a knowledge base development system.

    Science.gov (United States)

    Keith M. Reynolds

    1999-01-01

    The guide describes use of the NetWeaver knowledge base development system. Knowledge representation in NetWeaver is based on object-oriented fuzzy-logic networks that offer several significant advantages over the more traditional rulebased representation. Compared to rule-based knowledge bases, NetWeaver knowledge bases are easier to build, test, and maintain because...

  19. Sociology, systems and (patient) safety: knowledge translations in healthcare policy.

    Science.gov (United States)

    Jensen, Casper Bruun

    2008-03-01

    In 2000 the American Institute of Medicine, adviser to the federal government on policy matters relating to the health of the public, published the report To Err is Human: Building a Safer Health System, which was to become a call to arms for improving patient safety across the Western world. By re-conceiving healthcare as a system, it was argued that it was possible to transform the current culture of blame, which made individuals take defensive precautions against being assigned responsibility for error - notably by not reporting adverse events, into a culture of safety. The IOM report draws on several prominent social scientists in accomplishing this re-conceptualisation. But the analyses of these authors are not immediately relevant for health policy. It requires knowledge translation to make them so. This paper analyses the process of translation. The discussion is especially pertinent due to a certain looping effect between social science research and policy concerns. The case here presented is thus doubly illustrative: exemplifying first how social science is translated into health policy and secondly how the transformation required for this to function is taken as an analytical improvement that can in turn be redeployed in social research.

  20. KNOWLEDGE-BASED ROBOT VISION SYSTEM FOR AUTOMATED PART HANDLING

    Directory of Open Access Journals (Sweden)

    J. Wang

    2012-01-01

    Full Text Available

    ENGLISH ABSTRACT: This paper discusses an algorithm incorporating a knowledge-based vision system into an industrial robot system for handling parts intelligently. A continuous fuzzy controller was employed to extract boundary information in a computationally efficient way. The developed algorithm for on-line part recognition using fuzzy logic is shown to be an effective solution to extract the geometric features of objects. The proposed edge vector representation method provides enough geometric information and facilitates the object geometric reconstruction for gripping planning. Furthermore, a part-handling model was created by extracting the grasp features from the geometric features.

    AFRIKAANSE OPSOMMING: Hierdie artikel beskryf ‘n kennis-gebaseerde visiesisteemalgoritme wat in ’n industriёle robotsisteem ingesluit word om sodoende intelligente komponenthantering te bewerkstellig. ’n Kontinue wasige beheerder is gebruik om allerlei objekinligting deur middel van ’n effektiewe berekeningsmetode te bepaal. Die ontwikkelde algoritme vir aan-lyn komponentherkenning maak gebruik van wasige logika en word bewys as ’n effektiewe metode om geometriese inligting van objekte te bepaal. Die voorgestelde grensvektormetode verskaf voldoende inligting en maak geometriese rekonstruksie van die objek moontlik om greepbeplanning te kan doen. Voorts is ’n komponenthanteringsmodel ontwikkel deur die grypkenmerke af te lei uit die geometriese eienskappe.

  1. Hydraulic System Design of Hydraulic Actuators for Large Butterfly Valves

    Directory of Open Access Journals (Sweden)

    Ye HUANG

    2014-09-01

    Full Text Available Hydraulic control systems of butterfly valves are presently valve-controlled and pump-controlled. Valve-controlled hydraulic systems have serious power loss and generate much heat during throttling. Pump-controlled hydraulic systems have no overflow or throttling losses but are limited in the speed adjustment of the variable-displacement pump, generate much noise, pollute the environment, and have motor power that does not match load requirements, resulting in low efficiency under light loads and wearing of the variable-displacement pump. To overcome these shortcomings, this article designs a closed hydraulic control system in which an AC servo motor drives a quantitative pump that controls a spiral swinging hydraulic cylinder, and analyzes and calculates the structure and parameters of a spiral swinging hydraulic cylinder. The hydraulic system adjusts the servo motor’s speed according to the requirements of the control system, and the motor power matches the power provided to components, thus eliminating the throttling loss of hydraulic circuits. The system is compact, produces a large output force, provides stable transmission, has a quick response, and is suitable as a hydraulic control system of a large butterfly valve.

  2. An American knowledge base in England - Alternate implementations of an expert system flight status monitor

    Science.gov (United States)

    Butler, G. F.; Graves, A. T.; Disbrow, J. D.; Duke, E. L.

    1989-01-01

    A joint activity between the Dryden Flight Research Facility of the NASA Ames Research Center (Ames-Dryden) and the Royal Aerospace Establishment (RAE) on knowledge-based systems has been agreed. Under the agreement, a flight status monitor knowledge base developed at Ames-Dryden has been implemented using the real-time AI (artificial intelligence) toolkit MUSE, which was developed in the UK. Here, the background to the cooperation is described and the details of the flight status monitor and a prototype MUSE implementation are presented. It is noted that the capabilities of the expert-system flight status monitor to monitor data downlinked from the flight test aircraft and to generate information on the state and health of the system for the test engineers provides increased safety during flight testing of new systems. Furthermore, the expert-system flight status monitor provides the systems engineers with ready access to the large amount of information required to describe a complex aircraft system.

  3. Nonterrestrial material processing and manufacturing of large space systems

    Science.gov (United States)

    Von Tiesenhausen, G.

    1979-01-01

    Nonterrestrial processing of materials and manufacturing of large space system components from preprocessed lunar materials at a manufacturing site in space is described. Lunar materials mined and preprocessed at the lunar resource complex will be flown to the space manufacturing facility (SMF), where together with supplementary terrestrial materials, they will be final processed and fabricated into space communication systems, solar cell blankets, radio frequency generators, and electrical equipment. Satellite Power System (SPS) material requirements and lunar material availability and utilization are detailed, and the SMF processing, refining, fabricating facilities, material flow and manpower requirements are described.

  4. Large-scale computing techniques for complex system simulations

    CERN Document Server

    Dubitzky, Werner; Schott, Bernard

    2012-01-01

    Complex systems modeling and simulation approaches are being adopted in a growing number of sectors, including finance, economics, biology, astronomy, and many more. Technologies ranging from distributed computing to specialized hardware are explored and developed to address the computational requirements arising in complex systems simulations. The aim of this book is to present a representative overview of contemporary large-scale computing technologies in the context of complex systems simulations applications. The intention is to identify new research directions in this field and

  5. Senior Management Use of Management Control Systems in Large Companies

    DEFF Research Database (Denmark)

    Willert, Jeanette; Israelsen, Poul; Rohde, Carsten

    2017-01-01

    The use of management control systems in large companies remains relatively unexplored. Indeed, only a few studies of senior managers’ use of management control systems consider multiple controls in companies. This paper explores data from a comprehensive survey of the use of management control...... systems in 120 strategic business units at some of the largest companies in Denmark. The paper identifies how senior management guides and controls their subordinates to meet their companies’ objectives. The presentation and discussion of the results, including citations from executive managers, use...

  6. Large Time Behavior of the Vlasov-Poisson-Boltzmann System

    Directory of Open Access Journals (Sweden)

    Li Li

    2013-01-01

    Full Text Available The motion of dilute charged particles can be modeled by Vlasov-Poisson-Boltzmann system. We study the large time stability of the VPB system. To be precise, we prove that when time goes to infinity, the solution of VPB system tends to global Maxwellian state in a rate Ot−∞, by using a method developed for Boltzmann equation without force in the work of Desvillettes and Villani (2005. The improvement of the present paper is the removal of condition on parameter λ as in the work of Li (2008.

  7. A novel reliability evaluation method for large engineering systems

    Directory of Open Access Journals (Sweden)

    Reda Farag

    2016-06-01

    Full Text Available A novel reliability evaluation method for large nonlinear engineering systems excited by dynamic loading applied in time domain is presented. For this class of problems, the performance functions are expected to be function of time and implicit in nature. Available first- or second-order reliability method (FORM/SORM will be challenging to estimate reliability of such systems. Because of its inefficiency, the classical Monte Carlo simulation (MCS method also cannot be used for large nonlinear dynamic systems. In the proposed approach, only tens instead of hundreds or thousands of deterministic evaluations at intelligently selected points are used to extract the reliability information. A hybrid approach, consisting of the stochastic finite element method (SFEM developed by the author and his research team using FORM, response surface method (RSM, an interpolation scheme, and advanced factorial schemes, is proposed. The method is clarified with the help of several numerical examples.

  8. Understanding large social-ecological systems: introducing the SESMAD project

    Directory of Open Access Journals (Sweden)

    Michael Cox

    2014-08-01

    Full Text Available This article introduces the Social-ecological systems meta-analysis database (SESMAD project, which is the project behind the case studies and synthetic articles contained in this special issue of the International Journal of the Commons. SESMAD is an internationally collaborative meta-analysis project that builds on previous seminally synthetic work on small-scale common-pool resource systems conducted at the Workshop in Political Theory and Policy Analysis at Indiana University. This project is guided by the following research question: can the variables found to be important in explaining outcomes on small-scale systems be scaled up to explain outcomes in large-scale environmental governance? In this special issue we report on our findings thus far through a set of case studies of large-scale environmental governance, a paper that describes our conceptual advances, and a paper that compares these five case studies to further examine our central research question.

  9. Systems Intelligence in Knowledge Management Implementation: A Momentum of the SECI Model

    OpenAIRE

    Sasaki, Yasuo

    2014-01-01

    This paper discusses the role of systems intelligence in knowledge management implementations, in particular, in the SECI model, a widely acknowledged knowledge creation process in an organization identified by Nonaka and Takeuchi (1995). The SECI model deals with interactions and conversions of tacit knowledge and explicit knowledge and mainly consists of four stages. The author illustrates systems intelligence, a certain kind of human intelligence focusing on systems thinking perspective pr...

  10. A distributed knowledge-based system for the optimum utilisation of South African wool

    Directory of Open Access Journals (Sweden)

    Nomusa Dlodlo

    2009-09-01

    Full Text Available This article describes the concept and development of a knowledge-based advisory system for the optimum utilisation of South African wool for the benefit of present and potential investors and other interested parties. Wool is a natural animal fibre produced in varying quantities around the world. The wool fibre is far from homogenous; its type and quality, such as fineness and length, depending on the breed of sheep and the environmental conditions prevailing during its growth. Wool is used in a variety of end uses, ranging from fi ne worsted suiting, to hand knitting yarn, carpets, blankets and aircraft upholstery, its use depending largely on its fibre fineness and length. The wool industry is one of the oldest agricultural industries in South Africa, playing an important economic role as an earner of foreign exchange, and providing a living to many people. Wool is produced in many parts of South Africa under extensive, semi-extensive or intensive conditions, and is largely an export commodity. It is produced and traded in a sophisticated free market business environment into the international market place, where supply and demand forces determine price levels. More than 90% of locally produced wool is exported in an unprocessed or semi-processed form which detrimentally affects employment, foreign exchange and income-generating opportunities associated with value-addition prior to export. To reduce the amount of wool exported in unprocessed or semi-processed form, wool-processing enterprises need to be established to produce internationally marketable end products. Therefore, South Africa needs to attract investors into the wool sector, who will set up manufacturing mills in an economically sustainable manner. Potential and present investors in the South African (S.A. wool industry need easily accessible and up-to-date information on the production statistics, processing properties and end-use pplications of the wool they need for the

  11. Tool Support for Parametric Analysis of Large Software Simulation Systems

    Science.gov (United States)

    Schumann, Johann; Gundy-Burlet, Karen; Pasareanu, Corina; Menzies, Tim; Barrett, Tony

    2008-01-01

    The analysis of large and complex parameterized software systems, e.g., systems simulation in aerospace, is very complicated and time-consuming due to the large parameter space, and the complex, highly coupled nonlinear nature of the different system components. Thus, such systems are generally validated only in regions local to anticipated operating points rather than through characterization of the entire feasible operational envelope of the system. We have addressed the factors deterring such an analysis with a tool to support envelope assessment: we utilize a combination of advanced Monte Carlo generation with n-factor combinatorial parameter variations to limit the number of cases, but still explore important interactions in the parameter space in a systematic fashion. Additional test-cases, automatically generated from models (e.g., UML, Simulink, Stateflow) improve the coverage. The distributed test runs of the software system produce vast amounts of data, making manual analysis impossible. Our tool automatically analyzes the generated data through a combination of unsupervised Bayesian clustering techniques (AutoBayes) and supervised learning of critical parameter ranges using the treatment learner TAR3. The tool has been developed around the Trick simulation environment, which is widely used within NASA. We will present this tool with a GN&C (Guidance, Navigation and Control) simulation of a small satellite system.

  12. Large Engine Technology (LET) Short Haul Civil Tiltrotor Contingency Power Materials Knowledge and Lifing Methodologies

    Science.gov (United States)

    Spring, Samuel D.

    2006-01-01

    This report documents the results of an experimental program conducted on two advanced metallic alloy systems (Rene' 142 directionally solidified alloy (DS) and Rene' N6 single crystal alloy) and the characterization of two distinct internal state variable inelastic constitutive models. The long term objective of the study was to develop a computational life prediction methodology that can integrate the obtained material data. A specialized test matrix for characterizing advanced unified viscoplastic models was specified and conducted. This matrix included strain controlled tensile tests with intermittent relaxtion test with 2 hr hold times, constant stress creep tests, stepped creep tests, mixed creep and plasticity tests, cyclic temperature creep tests and tests in which temperature overloads were present to simulate actual operation conditions for validation of the models. The selected internal state variable models where shown to be capable of representing the material behavior exhibited by the experimental results; however the program ended prior to final validation of the models.

  13. Jump phenomena. [large amplitude responses of nonlinear systems

    Science.gov (United States)

    Reiss, E. L.

    1980-01-01

    The paper considers jump phenomena composed of large amplitude responses of nonlinear systems caused by small amplitude disturbances. Physical problems where large jumps in the solution amplitude are important features of the response are described, including snap buckling of elastic shells, chemical reactions leading to combustion and explosion, and long-term climatic changes of the earth's atmosphere. A new method of rational functions was then developed which consists of representing the solutions of the jump problems as rational functions of the small disturbance parameter; this method can solve jump problems explicitly.

  14. Status and Future Developments in Large Accelerator Control Systems

    International Nuclear Information System (INIS)

    Karen S. White

    2006-01-01

    Over the years, accelerator control systems have evolved from small hardwired systems to complex computer controlled systems with many types of graphical user interfaces and electronic data processing. Today's control systems often include multiple software layers, hundreds of distributed processors, and hundreds of thousands of lines of code. While it is clear that the next generation of accelerators will require much bigger control systems, they will also need better systems. Advances in technology will be needed to ensure the network bandwidth and CPU power can provide reasonable update rates and support the requisite timing systems. Beyond the scaling problem, next generation systems face additional challenges due to growing cyber security threats and the likelihood that some degree of remote development and operation will be required. With a large number of components, the need for high reliability increases and commercial solutions can play a key role towards this goal. Future control systems will operate more complex machines and need to present a well integrated, interoperable set of tools with a high degree of automation. Consistency of data presentation and exception handling will contribute to efficient operations. From the development perspective, engineers will need to provide integrated data management in the beginning of the project and build adaptive software components around a central data repository. This will make the system maintainable and ensure consistency throughout the inevitable changes during the machine lifetime. Additionally, such a large project will require professional project management and disciplined use of well-defined engineering processes. Distributed project teams will make the use of standards, formal requirements and design and configuration control vital. Success in building the control system of the future may hinge on how well we integrate commercial components and learn from best practices used in other industries

  15. MONITORING OF LARGE INSTABLE AREAS: system reliability and new tools.

    Science.gov (United States)

    Leandro, G.; Mucciarelli, M.; Pellicani, R.; Spilotro, G.

    2009-04-01

    The monitoring of unstable or potentially unstable areas is a necessary operation every time you can not remove the conditions of risk and apply to mitigation measures. In Italian Apennine regions there are many urban or extra-urban areas affected by instability, for which it is impracticable to remove hazard conditions, because of size and cost problems. The technological evolution exportable to the field of land instability monitoring is particularly lively and allows the use of warning systems unthinkable just few years ago. However, the monitoring of unstable or potentially unstable areas requires a very great knowledge of the specific problems, without which the reliability of the system may be dangerously overestimated. The movement may arise, indeed, in areas not covered by instrumentation, or covered with vegetation that prevents the acquisition of both reflected signals in the multi-beam laser techniques and radar signals. Environmental conditions (wind, concentrated sources of light, temperature changes, presence of animals) may also invalidate the accuracy of the measures, by introducing modulations or disturbance at a level well above the threshold of alarm signal, leading consequently to raise the values of the warning threshold. The Authors have gained long experience with the observation and monitoring of some large landslides in the Southern Apennine (Aliano, Buoninventre, Calciano, Carlantino, etc.) and unstable areas also at regional scale. One of the most important experiences is about the case of landslides of extensive areas, where unstable and stables zones coexist along transverse and longitudinal axis. In many of these cases you need the accurate control of the movement at selected points to evaluate the trend of displacement velocity, which can be achieved by means of a single-beam laser. The control of these movements, however, does not provide information on stress pattern into the stable areas. Among the sensitive precursors, acoustic

  16. Policy Driven Development: Flexible Policy Insertion for Large Scale Systems.

    Science.gov (United States)

    Demchak, Barry; Krüger, Ingolf

    2012-07-01

    The success of a software system depends critically on how well it reflects and adapts to stakeholder requirements. Traditional development methods often frustrate stakeholders by creating long latencies between requirement articulation and system deployment, especially in large scale systems. One source of latency is the maintenance of policy decisions encoded directly into system workflows at development time, including those involving access control and feature set selection. We created the Policy Driven Development (PDD) methodology to address these development latencies by enabling the flexible injection of decision points into existing workflows at runtime , thus enabling policy composition that integrates requirements furnished by multiple, oblivious stakeholder groups. Using PDD, we designed and implemented a production cyberinfrastructure that demonstrates policy and workflow injection that quickly implements stakeholder requirements, including features not contemplated in the original system design. PDD provides a path to quickly and cost effectively evolve such applications over a long lifetime.

  17. Universality in few-body systems with large scattering length

    International Nuclear Information System (INIS)

    Hammer, H.-W.

    2005-01-01

    Effective Field Theory (EFT) provides a powerful framework that exploits a separation of scales in physical systems to perform systematically improvable, model-independent calculations. Particularly interesting are few-body systems with short-range interactions and large two-body scattering length. Such systems display remarkable universal features. In systems with more than two particles, a three-body force with limit cycle behavior is required for consistent renormalization already at leading order. We will review this EFT and some of its applications in the physics of cold atoms and nuclear physics. In particular, we will discuss the possibility of an infrared limit cycle in QCD. Recent extensions of the EFT approach to the four-body system and N-boson droplets in two spatial dimensions will also be addressed

  18. Senior Management Use of Management Control Systems in Large Companies

    DEFF Research Database (Denmark)

    Willert, Jeanette; Israelsen, Poul; Rohde, Carsten

    2017-01-01

    Ferreira and Otley’s (2009) conceptual and holistic framework for performance management systems, supplemented by elements of contextual factors and organisational culture. Further, selected researchers’ perceptions of the purpose of using management control systems are related to practitioners’ ideas......The use of management control systems in large companies remains relatively unexplored. Indeed, only a few studies of senior managers’ use of management control systems consider multiple controls in companies. This paper explores data from a comprehensive survey of the use of management control...... systems in 120 strategic business units at some of the largest companies in Denmark. The paper identifies how senior management guides and controls their subordinates to meet their companies’ objectives. The presentation and discussion of the results, including citations from executive managers, use...

  19. Verifying large modular systems using iterative abstraction refinement

    International Nuclear Information System (INIS)

    Lahtinen, Jussi; Kuismin, Tuomas; Heljanko, Keijo

    2015-01-01

    Digital instrumentation and control (I&C) systems are increasingly used in the nuclear engineering domain. The exhaustive verification of these systems is challenging, and the usual verification methods such as testing and simulation are typically insufficient. Model checking is a formal method that is able to exhaustively analyse the behaviour of a model against a formally written specification. If the model checking tool detects a violation of the specification, it will give out a counter-example that demonstrates how the specification is violated in the system. Unfortunately, sometimes real life system designs are too big to be directly analysed by traditional model checking techniques. We have developed an iterative technique for model checking large modular systems. The technique uses abstraction based over-approximations of the model behaviour, combined with iterative refinement. The main contribution of the work is the concrete abstraction refinement technique based on the modular structure of the model, the dependency graph of the model, and a refinement sampling heuristic similar to delta debugging. The technique is geared towards proving properties, and outperforms BDD-based model checking, the k-induction technique, and the property directed reachability algorithm (PDR) in our experiments. - Highlights: • We have developed an iterative technique for model checking large modular systems. • The technique uses BDD-based model checking, k-induction, and PDR in parallel. • We have tested our algorithm by verifying two models with it. • The technique outperforms classical model checking methods in our experiments

  20. International Nuclear Information System: Researchers' Platform for Knowledge Sharing

    International Nuclear Information System (INIS)

    Mohd Hafizal Yusof; Habibah Adnan; Samsurdin Ahamad

    2011-01-01

    International Atomic Energy Agency (IAEA) is an organization under the United Nations (UN), which serves to disseminate accurate information about the nuclear world. In accordance with its role, an International Nuclear Information System (INIS) was established in 1970, provides the opportunities for member countries under the auspices of the IAEA to share information, expertise and knowledge, particularly in the nuclear field. Malaysia has become a member since 1978, and the first country input was posted in the 1980's. INIS member countries are supervised by a specially appointed liaison officers to monitor and oversee matters related to that. Each issue is associated with 49 subject matter (subject heading) will be checked and recorded by using Win fibre before being sent to the INIS database at IAEA headquarters in Vienna, Austria. Material received will be distributed directly to all IAEA member states through the INIS web site and CD distribution to subscribers countries. Today, INIS is still a successful nuclear-related information provider through nearly 3 million data have been recorded including journals, reports, scientific papers, patents, nuclear laws, the web sites contents, and many more. (author)

  1. Toward a Blended Ontology: Applying Knowledge Systems to ...

    Science.gov (United States)

    Bionanomedicine and environmental research share need common terms and ontologies. This study applied knowledge systems, data mining, and bibliometrics used in nano-scale ADME research from 1991 to 2011. The prominence of nano-ADME in environmental research began to exceed the publication rate in medical research in 2006. That trend appears to continue as a result of the growing products in commerce using nanotechnology, that is, 5-fold growth in number of countries with nanomaterials research centers. Funding for this research virtually did not exist prior to 2002, whereas today both medical and environmental research is funded globally. Key nanoparticle research began with pharmacology and therapeutic drug-delivery and contrasting agents, but the advances have found utility in the environmental research community. As evidence ultrafine aerosols and aquatic colloids research increased 6-fold, indicating a new emphasis on environmental nanotoxicology. User-directed expert elicitation from the engineering and chemical/ADME domains can be combined with appropriate Boolean logic and queries to define the corpus of nanoparticle interest. The study combined pharmacological expertise and informatics to identify the corpus by building logical conclusions and observations. Publication records informatics can lead to an enhanced understanding the connectivity between fields, as well as overcoming the differences in ontology between the fields. The National Exposure Resea

  2. KNOWLEDGE MANAGEMENT SYSTEM AS MEANS OF MOBILIZATION OF COMPETITIVE ADVANTAGES OF THE INDUSTRIAL ENTERPRISE

    OpenAIRE

    K. B. Dobrova; N. V. Kirichenko

    2013-01-01

    The article stresses the importance and urgency of implementing knowledge management systems for aviation enterprises to enhance the competitive advantages of aircraft. Conservation promotes knowledge management system (SMZ), developed and approved by the national standard of the Russian Federation GOST R 53894-2010 «Knowledge Management. Terms and definitions». A formula for the calculation of some indicators of competitiveness.

  3. Co-production of knowledge-action systems in urban sustainable governance: The KASA approach

    Science.gov (United States)

    T.A. Munoz-Erickson

    2014-01-01

    This paper examines how knowledge-action-systems the networks of actors involved in the production, sharing and use of policy-relevant knowledge - work in the process of developing sustainable strategies for cities. I developed an interdisciplinary framework- the knowledge-action system analysis (KASA) framework ...

  4. Integrating Intelligent Systems Domain Knowledge Into the Earth Science Curricula

    Science.gov (United States)

    Güereque, M.; Pennington, D. D.; Pierce, S. A.

    2017-12-01

    High-volume heterogeneous datasets are becoming ubiquitous, migrating to center stage over the last ten years and transcending the boundaries of computationally intensive disciplines into the mainstream, becoming a fundamental part of every science discipline. Despite the fact that large datasets are now pervasive across industries and academic disciplines, the array of skills is generally absent from earth science programs. This has left the bulk of the student population without access to curricula that systematically teach appropriate intelligent-systems skills, creating a void for skill sets that should be universal given their need and marketability. While some guidance regarding appropriate computational thinking and pedagogy is appearing, there exist few examples where these have been specifically designed and tested within the earth science domain. Furthermore, best practices from learning science have not yet been widely tested for developing intelligent systems-thinking skills. This research developed and tested evidence based computational skill modules that target this deficit with the intention of informing the earth science community as it continues to incorporate intelligent systems techniques and reasoning into its research and classrooms.

  5. Using Indigenous Knowledge in Traditional Agricultural Systems for ...

    African Journals Online (AJOL)

    This article discusses the role of indigenous knowledge in traditional agriculture and its potential in contributing to food security, poverty and hunger eradication, and increased employment in South Africa. It is noted that indigenous knowledge can inform rural agricultural production, storage, processing, marketing, and food

  6. Fast Reactor Knowledge Organization System (FR-KOS)

    International Nuclear Information System (INIS)

    Costantini, Livio

    2013-01-01

    FR-KOS Web-portal general concepts: FR-KOS web-portal is an integrated and unique solution for knowledge preservation, retrieval and management in fast reactor (FR) knowledge domain; The exploitation of the FR-KOS provides an effective and flexible tool to access FR knowledge repositories. The dynamic and interactive process of searching information is guided by structures that are based on the FR Taxonomy; FR-KOS can be extended to other types of reactor and technologies, such as PWR, WWER, BWR, CANDU, etc. In addition can also be utilized in other information management process such as the preservation of nuclear accidents knowledg;. FR-KOS addresses needs in non-structured knowledge preservation for both embarking countries and countries with established nuclear power; FR-KOS repositories contain more that 50.000 samples of technical and scientific publications, including full text documents in different languages (English, German, French and eventually in Russian)

  7. Paradigms of knowledge management with systems modelling case studies

    CERN Document Server

    Pandey, Krishna Nath

    2016-01-01

    This book has been written by studying the knowledge management implementation at POWERGRID India, one of the largest power distribution companies in the world. The patterns which have led to models, both hypothesized and data-enabled, have been provided. The book suggests ways and means to follow for knowledge management implementation, especially for organizations with multiple business verticals to follow. The book underlines that knowledge is both an entity and organizational asset which can be managed. A holistic view of knowledge management implementation has been provided. It also emphasizes the phenomenological importance of human resource parameters as compared to that of technological parameters. Various hypotheses have been tested to validate the significant models hypothesized. This work will prove useful to corporations, researchers, and independent professionals working to study or implement knowledge management paradigms.

  8. Knowledge gaps in tropical Southeast Asian seagrass systems

    Science.gov (United States)

    Ooi, Jillian Lean Sim; Kendrick, Gary A.; Van Niel, Kimberly P.; Affendi, Yang Amri

    2011-03-01

    Seagrasses are habitats with significant ecological and economic functions but we have limited knowledge of seagrasses in Southeast Asia, the hypothesized centre-of-origin for tropical seagrasses. There have been only 62 ISI-cited publications on the seagrasses of Southeast Asia in the last three decades and most work has been in few sites such as Northwest Luzon in the Philippines and South Sulawesi in Indonesia. Our understanding of the processes driving spatial and temporal distributions of seagrass species here has focussed primarily on backreef and estuarine seagrass meadows, with little work on forereef systems. We used Pulau Tinggi, an island off the southeast coast of Peninsular Malaysia, as an example of a subtidal forereef system. It is characterized by a community of small and fast growing species such as Halophila ovalis (mean shoot density 1454.6 ± 145.1 m -2) and Halodule uninervis (mean shoot density 861.7 ± 372.0 m -2) growing in relatively low light conditions (mean PAR 162.1 ± 35.0 μmol m -2 s -1 at 10 m depth to 405.8 ± 99.0 μmol m -2 s -1 at 3 m water depth) on sediment with low carbonate (mean 9.24 ± 1.74 percentage dry weight), organic matter (mean 2.56 ± 0.35 percentage dry weight) and silt-clay content (mean 2.28 ± 2.43 percentage dry weight). The literature reveals that there is a range of drivers operating in Southeast Asian seagrass systems and we suggest that this is because there are various types of seagrass habitats in this region, i.e. backreef, forereef and estuary, each of which has site characteristics and ecological drivers unique to it. Based on our case study of Pulau Tinggi, we suggest that seagrasses in forereef systems are more widespread in Southeast Asia than is reflected in the literature and that they are likely to be driven by recurring disturbance events such as monsoons, sediment burial and herbivory.

  9. Scientometric trends and knowledge maps of global health systems research.

    Science.gov (United States)

    Yao, Qiang; Chen, Kai; Yao, Lan; Lyu, Peng-hui; Yang, Tian-an; Luo, Fei; Chen, Shan-quan; He, Lu-yang; Liu, Zhi-yong

    2014-06-05

    In the last few decades, health systems research (HSR) has garnered much attention with a rapid increase in the related literature. This study aims to review and evaluate the global progress in HSR and assess the current quantitative trends. Based on data from the Web of Science database, scientometric methods and knowledge visualization techniques were applied to evaluate global scientific production and develop trends of HSR from 1900 to 2012. HSR has increased rapidly over the past 20 years. Currently, there are 28,787 research articles published in 3,674 journals that are listed in 140 Web of Science subject categories. The research in this field has mainly focused on public, environmental and occupational health (6,178, 21.46%), health care sciences and services (5,840, 20.29%), and general and internal medicine (3,783, 13.14%). The top 10 journals had published 2,969 (10.31%) articles and received 5,229 local citations and 40,271 global citations. The top 20 authors together contributed 628 papers, which accounted for a 2.18% share in the cumulative worldwide publications. The most productive author was McKee, from the London School of Hygiene & Tropical Medicine, with 48 articles. In addition, USA and American institutions ranked the first in health system research productivity, with high citation times, followed by the UK and Canada. HSR is an interdisciplinary area. Organization for Economic Co-operation and Development countries showed they are the leading nations in HSR. Meanwhile, American and Canadian institutions and the World Health Organization play a dominant role in the production, collaboration, and citation of high quality articles. Moreover, health policy and analysis research, health systems and sub-systems research, healthcare and services research, health, epidemiology and economics of communicable and non-communicable diseases, primary care research, health economics and health costs, and pharmacy of hospital have been identified as the

  10. Penerapan Knowledge Management System Sebagai Sarana Pertumbuhan Organisasi pada PT Intimap

    Directory of Open Access Journals (Sweden)

    Win Ce

    2011-12-01

    Full Text Available This article discusses aout the knowledge management system implementation as growth tool at PT Intimap. The purpose of this study is to give solution to problems faced by PT Intimap, related to knowledge and the resources they own. Method used for the system development is the SDLC. Analysis shows that PT Intimap is a company with vast amount of knowledge. However, the knowledge has not been managed very carefully. Hence, there is a need to an integrated system, where all employees can put their knowledge and look for what they want to know within the system

  11. Unpacking 'ethno-finance': an introduction to indigenous 'financial' knowledge systems

    Directory of Open Access Journals (Sweden)

    R. J.C. Bray

    2007-11-01

    Full Text Available For too many individuals, indigenous knowledge systems provoke no enthusiasm as they are perceived to be dormant and irrelevant. This article attempts to change this perception by highlighting the need for an in-depth knowledge of indigenous knowledge systems and, moreover, indigenous knowledge systems within finance. A comprehensive definition of ethno-finance, as well as examples, is supplied to help in the development of research opportunities within the sub-field of ethno-finance regarding indigenous knowledge systems.

  12. Large area high-speed metrology SPM system

    International Nuclear Information System (INIS)

    Klapetek, P; Valtr, M; Martinek, J; Picco, L; Payton, O D; Miles, M; Yacoot, A

    2015-01-01

    We present a large area high-speed measuring system capable of rapidly generating nanometre resolution scanning probe microscopy data over mm 2 regions. The system combines a slow moving but accurate large area XYZ scanner with a very fast but less accurate small area XY scanner. This arrangement enables very large areas to be scanned by stitching together the small, rapidly acquired, images from the fast XY scanner while simultaneously moving the slow XYZ scanner across the region of interest. In order to successfully merge the image sequences together two software approaches for calibrating the data from the fast scanner are described. The first utilizes the low uncertainty interferometric sensors of the XYZ scanner while the second implements a genetic algorithm with multiple parameter fitting during the data merging step of the image stitching process. The basic uncertainty components related to these high-speed measurements are also discussed. Both techniques are shown to successfully enable high-resolution, large area images to be generated at least an order of magnitude faster than with a conventional atomic force microscope. (paper)

  13. Large area high-speed metrology SPM system

    Science.gov (United States)

    Klapetek, P.; Valtr, M.; Picco, L.; Payton, O. D.; Martinek, J.; Yacoot, A.; Miles, M.

    2015-02-01

    We present a large area high-speed measuring system capable of rapidly generating nanometre resolution scanning probe microscopy data over mm2 regions. The system combines a slow moving but accurate large area XYZ scanner with a very fast but less accurate small area XY scanner. This arrangement enables very large areas to be scanned by stitching together the small, rapidly acquired, images from the fast XY scanner while simultaneously moving the slow XYZ scanner across the region of interest. In order to successfully merge the image sequences together two software approaches for calibrating the data from the fast scanner are described. The first utilizes the low uncertainty interferometric sensors of the XYZ scanner while the second implements a genetic algorithm with multiple parameter fitting during the data merging step of the image stitching process. The basic uncertainty components related to these high-speed measurements are also discussed. Both techniques are shown to successfully enable high-resolution, large area images to be generated at least an order of magnitude faster than with a conventional atomic force microscope.

  14. Bake-Out Mobile Controls for Large Vacuum Systems

    CERN Document Server

    Blanchard, S; Gomes, P; Pereira, H; Kopylov, L; Merker, S; Mikheev, M

    2014-01-01

    Large vacuum systems at CERN (Large Hadron Collider - LHC, Low Energy Ion Rings - LEIR...) require bake-out to achieve ultra-high vacuum specifications. The bake-out cycle is used to decrease the outgassing rate of the vacuum vessel and to activate the Non-Evaporable Getter (NEG) thin film. Bake-out control is a Proportional-Integral-Derivative (PID) regulation with complex recipes, interlocks and troubleshooting management and remote control. It is based on mobile Programmable Logic Controller (PLC) cabinets, fieldbus network and Supervisory Control and Data Acquisition (SCADA) application. The CERN vacuum installations include more than 7 km of baked vessels; using mobile cabinets reduces considerably the cost of the control system. The cabinets are installed close to the vacuum vessels during the time of the bake-out cycle. Mobile cabinets can be used in any of the CERN vacuum facilities. Remote control is provided through a fieldbus network and a SCADA application

  15. Solution methods for large systems of linear equations in BACCHUS

    International Nuclear Information System (INIS)

    Homann, C.; Dorr, B.

    1993-05-01

    The computer programme BACCHUS is used to describe steady state and transient thermal-hydraulic behaviour of a coolant in a fuel element with intact geometry in a fast breeder reactor. In such computer programmes generally large systems of linear equations with sparse matrices of coefficients, resulting from discretization of coolant conservation equations, must be solved thousands of times giving rise to large demands of main storage and CPU time. Direct and iterative solution methods of the systems of linear equations, available in BACCHUS, are described, giving theoretical details and experience with their use in the programme. Besides use of a method of lines, a Runge-Kutta-method, for solution of the partial differential equation is outlined. (orig.) [de

  16. Quarkonia production in small and large systems measured by ATLAS

    CERN Document Server

    Lopez, Jorge; The ATLAS collaboration

    2018-01-01

    The experimentally observed dissociation and regeneration of bound quarkonium states in heavy-ion collisions provide a powerful tool to probe the dynamics of the hot, dense plasma. These measurements are sensitive to the effects of color screening, color recombination, or other, new suppression mechanisms. In the large-statistics Run 2 lead-lead and proton-lead collision data, these phenomena can be probed with unprecedented precision. Measurements of the ground and excited quarkonia states, as well as their separation into prompt and non-prompt components, provide further opportunities to study the dynamics of heavy parton energy loss in these large systems. In addition, quarkonium production rates, and their excited to ground states ratios, in small, asymmetric systems are an interesting probe of cold nuclear matter effects. In this talk, the latest ATLAS results on quarkonia production will be presented, including new, differential measurements of charmonium suppression and azimuthal modulation in lead-lea...

  17. Dynamics of Large Systems of Nonlinearly Evolving Units

    Science.gov (United States)

    Lu, Zhixin

    The dynamics of large systems of many nonlinearly evolving units is a general research area that has great importance for many areas in science and technology, including biology, computation by artificial neural networks, statistical mechanics, flocking in animal groups, the dynamics of coupled neurons in the brain, and many others. While universal principles and techniques are largely lacking in this broad area of research, there is still one particular phenomenon that seems to be broadly applicable. In particular, this is the idea of emergence, by which is meant macroscopic behaviors that "emerge" from a large system of many "smaller or simpler entities such that...large entities" [i.e., macroscopic behaviors] arise which "exhibit properties the smaller/simpler entities do not exhibit." In this thesis we investigate mechanisms and manifestations of emergence in four dynamical systems consisting many nonlinearly evolving units. These four systems are as follows. (a) We first study the motion of a large ensemble of many noninteracting particles in a slowly changing Hamiltonian system that undergoes a separatrix crossing. In such systems, we find that separatrix-crossing induces a counterintuitive effect. Specifically, numerical simulation of two sets of densely sprinkled initial conditions on two energy curves appears to suggest that the two energy curves, one originally enclosing the other, seemingly interchange their positions. This, however, is topologically forbidden. We resolve this paradox by introducing a numerical simulation method we call "robust" and study its consequences. (b) We next study the collective dynamics of oscillatory pacemaker neurons in Suprachiasmatic Nucleus (SCN), which, through synchrony, govern the circadian rhythm of mammals. We start from a high-dimensional description of the many coupled oscillatory neuronal units within the SCN. This description is based on a forced Kuramoto model. We then reduce the system dimensionality by using

  18. "Tacit Knowledge" versus "Explicit Knowledge"

    DEFF Research Database (Denmark)

    Sanchez, Ron

    creators and carriers. By contrast, the explicit knowledge approach emphasizes processes for articulating knowledge held by individuals, the design of organizational approaches for creating new knowledge, and the development of systems (including information systems) to disseminate articulated knowledge...

  19. An ontological knowledge based system for selection of process monitoring and analysis tools

    DEFF Research Database (Denmark)

    Singh, Ravendra; Gernaey, Krist; Gani, Rafiqul

    2010-01-01

    monitoring and analysis tools for a wide range of operations has made their selection a difficult, time consuming and challenging task. Therefore, an efficient and systematic knowledge base coupled with an inference system is necessary to support the optimal selection of process monitoring and analysis tools......, satisfying the process and user constraints. A knowledge base consisting of the process knowledge as well as knowledge on measurement methods and tools has been developed. An ontology has been designed for knowledge representation and management. The developed knowledge base has a dual feature. On the one...... procedures has been developed to retrieve the data/information stored in the knowledge base....

  20. A Classification Framework for Large-Scale Face Recognition Systems

    OpenAIRE

    Zhou, Ziheng; Deravi, Farzin

    2009-01-01

    This paper presents a generic classification framework for large-scale face recognition systems. Within the framework, a data sampling strategy is proposed to tackle the data imbalance when image pairs are sampled from thousands of face images for preparing a training dataset. A modified kernel Fisher discriminant classifier is proposed to make it computationally feasible to train the kernel-based classification method using tens of thousands of training samples. The framework is tested in an...

  1. The Theory of the Knowledge Square The Fuzzy Rational Foundations of the Knowledge-Production Systems

    CERN Document Server

    Dompere, Kofi Kissi

    2013-01-01

    The monograph is about a meta-theory of knowledge-production process and the logical pathway that connects the epistemic possibility to the epistemic reality. It examines the general conditions of paradigms for information processing and isolates the classical and fuzzy paradigms for comparative analysis. The book is written for professionals, researchers  and students working in philosophy of science, decision-choice theories, economies, sciences, computer science, engineering and related subjects. It is further aimed at research institutions and libraries. The subject matter belongs to extensive research and development taking place on fuzzy phenomena and the debate between the fuzzy paradigm and the classical paradigm relative to informatics, synergetic science and complexity theory. The book will have a global appeal and across disciplines. Its strength, besides the contents, is the special effort that is undertaken to make it relevant and accessible to different areas of sciences and knowledge productio...

  2. A remote joint system for large vacuum ducts

    International Nuclear Information System (INIS)

    Hagmann, D.B.; Coughlan, J.B.

    1983-01-01

    A large remote vacuum duct joining system has been developed for fusion machines that uses several two-jaw screwdriven clamps. The preferred location for clamp installation is inside the vacuum duct where access space is available for the actuating device. It also decreases space needed for handling operations exterior to the duct. The clamp system is unique in that it is low cost, applies force directly over the seal, permits leak testing to the seal annulus, is highly reliable, can be remotely replaced, and is usable on a variety of other applications

  3. Electron cyclotron beam measurement system in the Large Helical Device

    Energy Technology Data Exchange (ETDEWEB)

    Kamio, S., E-mail: kamio@nifs.ac.jp; Takahashi, H.; Kubo, S.; Shimozuma, T.; Yoshimura, Y.; Igami, H.; Ito, S.; Kobayashi, S.; Mizuno, Y.; Okada, K.; Osakabe, M.; Mutoh, T. [National Institute for Fusion Science, Toki 509-5292 (Japan)

    2014-11-15

    In order to evaluate the electron cyclotron (EC) heating power inside the Large Helical Device vacuum vessel and to investigate the physics of the interaction between the EC beam and the plasma, a direct measurement system for the EC beam transmitted through the plasma column was developed. The system consists of an EC beam target plate, which is made of isotropic graphite and faces against the EC beam through the plasma, and an IR camera for measuring the target plate temperature increase by the transmitted EC beam. This system is applicable to the high magnetic field (up to 2.75 T) and plasma density (up to 0.8 × 10{sup 19} m{sup −3}). This system successfully evaluated the transmitted EC beam profile and the refraction.

  4. Large capacity, high-speed multiparameter multichannel analysis system

    International Nuclear Information System (INIS)

    Hendricks, R.W.; Seeger, P.A.; Scheer, J.W.; Suehiro, S.

    1980-01-01

    A data acquisition system for recording multiparameter digital data into a large memory array at over 2.5 MHz is described. The system consists of a MOSTEK MK8600 2048K x 24-bit memory system, I/O ports to various external devices including the CAMAC dataway, a memory incrementer/adder and a daisy-chain of experiment-specific modules which calculate the memory address which is to be incremented. The design of the daisy-chain permits multiple modules and provides for easy modification as experimental needs change. The system has been designed for use in multiparameter, multichannel analysis of high-speed data gathered by position-sensitive detectors at conventional and synchrotron x-ray sources as well as for fixed energy and time-of-flight diffraction at continuous and pulsed neutron sources

  5. Separate Poles Mode for Large-Capacity HVDC System

    Science.gov (United States)

    Zhu, Lin; Gao, Qin

    2017-05-01

    This paper proposes a novel connection mode, separate poles mode (SPM), for large-capacity HVDC systems. The proposed mode focuses on the core issues of HVDC connection in interconnected power grids and principally aims at increasing effective electric distance between poles, which helps to mitigate the interaction problems between AC system and DC system. Receiving end of bipolar HVDC has been divided into different inverter stations under the mode, and thus significantly alleviates difficulties in power transmission and consumption of receiving-end AC grids. By investigating the changes of multi-feed short-circuit ratio (MISCR), finding that HVDC with SPM shows critical impacts upon itself and other HVDC systems with conventional connection mode, which demonstrates that SPM can make balance between MISCR increase and short-circuit current limit.

  6. Two-level systems driven by large-amplitude fields

    Science.gov (United States)

    Nori, F.; Ashhab, S.; Johansson, J. R.; Zagoskin, A. M.

    2009-03-01

    We analyze the dynamics of a two-level system subject to driving by large-amplitude external fields, focusing on the resonance properties in the case of driving around the region of avoided level crossing. In particular, we consider three main questions that characterize resonance dynamics: (1) the resonance condition, (2) the frequency of the resulting oscillations on resonance, and (3) the width of the resonance. We identify the regions of validity of different approximations. In a large region of the parameter space, we use a geometric picture in order to obtain both a simple understanding of the dynamics and quantitative results. The geometric approach is obtained by dividing the evolution into discrete time steps, with each time step described by either a phase shift on the basis states or a coherent mixing process corresponding to a Landau-Zener crossing. We compare the results of the geometric picture with those of a rotating wave approximation. We also comment briefly on the prospects of employing strong driving as a useful tool to manipulate two-level systems. S. Ashhab, J.R. Johansson, A.M. Zagoskin, F. Nori, Two-level systems driven by large-amplitude fields, Phys. Rev. A 75, 063414 (2007). S. Ashhab et al, unpublished.

  7. Knowledge acquisition and representation for the Systems Test and Operations Language (STOL) Intelligent Tutoring System (ITS)

    Science.gov (United States)

    Seamster, Thomas L.; Eike, David R.; Ames, Troy J.

    1990-01-01

    This presentation concentrates on knowledge acquisition and its application to the development of an expert module and a user interface for an Intelligent Tutoring System (ITS). The Systems Test and Operations Language (STOL) ITS is being developed to assist NASA control center personnel in learning a command and control language as it is used in mission operations rooms. The objective of the tutor is to impart knowledge and skills that will permit the trainee to solve command and control problems in the same way that the STOL expert solves those problems. The STOL ITS will achieve this object by representing the solution space in such a way that the trainee can visualize the intermediate steps, and by having the expert module production rules parallel the STOL expert's knowledge structures.

  8. Design of central control system for large helical device (LHD)

    International Nuclear Information System (INIS)

    Yamazaki, K.; Kaneko, H.; Yamaguchi, S.; Watanabe, K.Y.; Taniguchi, Y.; Motojima, O.

    1993-11-01

    The world largest superconducting fusion machine LHD (Large Helical Device) is under construction in Japan, aiming at steady state operations. Its basic control system consists of UNIX computers, FDDI/Ethernet LANs, VME multiprocessors and VxWorks real-time OS. For flexible and reliable operations of the LHD machine a cooperative distributed system with more than 30 experimental equipments is controlled by the central computer and the main timing system, and is supervised by the main protective interlock system. Intelligent control systems, such as applications of fuzzy logic and neural networks, are planed to be adopted for flexible feedback controls of plasma configurations besides the classical PID control scheme. Design studies of its control system and related R and D programs with coil-plasma simulation systems are now being performed. The construction of the LHD Control Building in a new site will begin in 1995 after finishing the construction of the LHD Experimental Building, and the hardware construction of the LHD central control equipments will be started in 1996. A first plasma production by means of this control system is expected in 1997. (author)

  9. Coping with the knowledge sharing barriers in Product Service Systems design

    OpenAIRE

    Bertoni, Marco; Larsson, Andreas

    2010-01-01

    This paper analyzes the knowledge sharing process that characterizes Product Service Systems (PSS) design, drawing on data from an in-depth study in the Swedish manufacturing industry. It categorizes and describes the most relevant knowledge sharing barriers affecting early PSS development phases, discussing them in terms of capabilities to be included in a knowledge engineering system to fulfil the increasing need for knowledge in product-service design. To cope with these barriers, the auth...

  10. Stability and Control of Large-Scale Dynamical Systems A Vector Dissipative Systems Approach

    CERN Document Server

    Haddad, Wassim M

    2011-01-01

    Modern complex large-scale dynamical systems exist in virtually every aspect of science and engineering, and are associated with a wide variety of physical, technological, environmental, and social phenomena, including aerospace, power, communications, and network systems, to name just a few. This book develops a general stability analysis and control design framework for nonlinear large-scale interconnected dynamical systems, and presents the most complete treatment on vector Lyapunov function methods, vector dissipativity theory, and decentralized control architectures. Large-scale dynami

  11. Solution approach for a large scale personnel transport system for a large company in Latin America

    Energy Technology Data Exchange (ETDEWEB)

    Garzón-Garnica, Eduardo-Arturo; Caballero-Morales, Santiago-Omar; Martínez-Flores, José-Luis

    2017-07-01

    The present paper focuses on the modelling and solution of a large-scale personnel transportation system in Mexico where many routes and vehicles are currently used to service 525 points. The routing system proposed can be applied to many cities in the Latin-American region. Design/methodology/approach: This system was modelled as a VRP model considering the use of real-world transit times, and the fact that routes start at the farthest point from the destination center. Experiments were performed on different sized sets of service points. As the size of the instances was increased, the performance of the heuristic method was assessed in comparison with the results of an exact algorithm, the results remaining very close between both. When the size of the instance was full-scale and the exact algorithm took too much time to solve the problem, then the heuristic algorithm provided a feasible solution. Supported by the validation with smaller scale instances, where the difference between both solutions was close to a 6%, the full –scale solution obtained with the heuristic algorithm was considered to be within that same range. Findings: The proposed modelling and solving method provided a solution that would produce significant savings in the daily operation of the routes. Originality/value: The urban distribution of the cities in Latin America is unique to other regions in the world. The general layout of the large cities in this region includes a small town center, usually antique, and a somewhat disordered outer region. The lack of a vehicle-centered urban planning poses distinct challenges for vehicle routing problems in the region. The use of a heuristic VRP combined with the results of an exact VRP, allowed the obtention of an improved routing plan specific to the requirements of the region.

  12. Solution approach for a large scale personnel transport system for a large company in Latin America

    International Nuclear Information System (INIS)

    Garzón-Garnica, Eduardo-Arturo; Caballero-Morales, Santiago-Omar; Martínez-Flores, José-Luis

    2017-01-01

    The present paper focuses on the modelling and solution of a large-scale personnel transportation system in Mexico where many routes and vehicles are currently used to service 525 points. The routing system proposed can be applied to many cities in the Latin-American region. Design/methodology/approach: This system was modelled as a VRP model considering the use of real-world transit times, and the fact that routes start at the farthest point from the destination center. Experiments were performed on different sized sets of service points. As the size of the instances was increased, the performance of the heuristic method was assessed in comparison with the results of an exact algorithm, the results remaining very close between both. When the size of the instance was full-scale and the exact algorithm took too much time to solve the problem, then the heuristic algorithm provided a feasible solution. Supported by the validation with smaller scale instances, where the difference between both solutions was close to a 6%, the full –scale solution obtained with the heuristic algorithm was considered to be within that same range. Findings: The proposed modelling and solving method provided a solution that would produce significant savings in the daily operation of the routes. Originality/value: The urban distribution of the cities in Latin America is unique to other regions in the world. The general layout of the large cities in this region includes a small town center, usually antique, and a somewhat disordered outer region. The lack of a vehicle-centered urban planning poses distinct challenges for vehicle routing problems in the region. The use of a heuristic VRP combined with the results of an exact VRP, allowed the obtention of an improved routing plan specific to the requirements of the region.

  13. Solution approach for a large scale personnel transport system for a large company in Latin America

    Directory of Open Access Journals (Sweden)

    Eduardo-Arturo Garzón-Garnica

    2017-10-01

    Full Text Available Purpose: The present paper focuses on the modelling and solution of a large-scale personnel transportation system in Mexico where many routes and vehicles are currently used to service 525 points. The routing system proposed can be applied to many cities in the Latin-American region. Design/methodology/approach: This system was modelled as a VRP model considering the use of real-world transit times, and the fact that routes start at the farthest point from the destination center. Experiments were performed on different sized sets of service points. As the size of the instances was increased, the performance of the heuristic method was assessed in comparison with the results of an exact algorithm, the results remaining very close between both.  When the size of the instance was full-scale and the exact algorithm took too much time to solve the problem, then the heuristic algorithm provided a feasible solution. Supported by the validation with smaller scale instances, where the difference between both solutions was close to a 6%, the full –scale solution obtained with the heuristic algorithm was considered to be within that same range. Findings: The proposed modelling and solving method provided a solution that would produce significant savings in the daily operation of the routes. Originality/value: The urban distribution of the cities in Latin America is unique to other regions in the world. The general layout of the large cities in this region includes a small town center, usually antique, and a somewhat disordered outer region. The lack of a vehicle-centered urban planning poses distinct challenges for vehicle routing problems in the region. The use of a heuristic VRP combined with the results of an exact VRP, allowed the obtention of an improved routing plan specific to the requirements of the region.

  14. Model of knowledge management in mobile systems used for training

    Directory of Open Access Journals (Sweden)

    Chadwick CARRETO ARELLANO

    2014-11-01

    Full Text Available This work shows the development of a Knowledge Management Model (MAC applied to the training process in mobile devices for ease of use and access of different types of users to relevant information (anywhere and anytime. The MAC permit to manage knowledge, so that helps in the process of collection, classification and search of information according to a profile and academic needs as well as services related to the transformation of data and information for knowledge generation. The MAC aims to provide users, tools for skills development and allow the development of the training process with the use of limited capacity device with Internet connection.

  15. Scientific Knowledge Management in Socio-environmental Systems Context

    Directory of Open Access Journals (Sweden)

    Luiza Beth Nunes Alonso

    2011-11-01

    Full Text Available This article focuses on the efficiency of scientific knowledge involved in the context of managing a particular socio-environmental as that composed by Amazon. In a first part, we introduce the actual tools used to create and disseminate knowledge among scientists and to stakeholders. In the second part, we give a structural framework, concerning the co-construction of an interdisciplinary scientific knowledge on a specific geographical region. This structural framework, which is as mathematical object "free of context", provides a contextual efficiency of scientific work when it combines multi-disciplinarity, interdisciplinarity and transdisciplinarity.

  16. On Lattice Sequential Decoding for Large MIMO Systems

    KAUST Repository

    Ali, Konpal S.

    2014-04-01

    Due to their ability to provide high data rates, Multiple-Input Multiple-Output (MIMO) wireless communication systems have become increasingly popular. Decoding of these systems with acceptable error performance is computationally very demanding. In the case of large overdetermined MIMO systems, we employ the Sequential Decoder using the Fano Algorithm. A parameter called the bias is varied to attain different performance-complexity trade-offs. Low values of the bias result in excellent performance but at the expense of high complexity and vice versa for higher bias values. We attempt to bound the error by bounding the bias, using the minimum distance of a lattice. Also, a particular trend is observed with increasing SNR: a region of low complexity and high error, followed by a region of high complexity and error falling, and finally a region of low complexity and low error. For lower bias values, the stages of the trend are incurred at lower SNR than for higher bias values. This has the important implication that a low enough bias value, at low to moderate SNR, can result in low error and low complexity even for large MIMO systems. Our work is compared against Lattice Reduction (LR) aided Linear Decoders (LDs). Another impressive observation for low bias values that satisfy the error bound is that the Sequential Decoder\\'s error is seen to fall with increasing system size, while it grows for the LR-aided LDs. For the case of large underdetermined MIMO systems, Sequential Decoding with two preprocessing schemes is proposed – 1) Minimum Mean Square Error Generalized Decision Feedback Equalization (MMSE-GDFE) preprocessing 2) MMSE-GDFE preprocessing, followed by Lattice Reduction and Greedy Ordering. Our work is compared against previous work which employs Sphere Decoding preprocessed using MMSE-GDFE, Lattice Reduction and Greedy Ordering. For the case of large systems, this results in high complexity and difficulty in choosing the sphere radius. Our schemes

  17. Remote collaboration system based on large scale simulation

    International Nuclear Information System (INIS)

    Kishimoto, Yasuaki; Sugahara, Akihiro; Li, J.Q.

    2008-01-01

    Large scale simulation using super-computer, which generally requires long CPU time and produces large amount of data, has been extensively studied as a third pillar in various advanced science fields in parallel to theory and experiment. Such a simulation is expected to lead new scientific discoveries through elucidation of various complex phenomena, which are hardly identified only by conventional theoretical and experimental approaches. In order to assist such large simulation studies for which many collaborators working at geographically different places participate and contribute, we have developed a unique remote collaboration system, referred to as SIMON (simulation monitoring system), which is based on client-server system control introducing an idea of up-date processing, contrary to that of widely used post-processing. As a key ingredient, we have developed a trigger method, which transmits various requests for the up-date processing from the simulation (client) running on a super-computer to a workstation (server). Namely, the simulation running on a super-computer actively controls the timing of up-date processing. The server that has received the requests from the ongoing simulation such as data transfer, data analyses, and visualizations, etc. starts operations according to the requests during the simulation. The server makes the latest results available to web browsers, so that the collaborators can monitor the results at any place and time in the world. By applying the system to a specific simulation project of laser-matter interaction, we have confirmed that the system works well and plays an important role as a collaboration platform on which many collaborators work with one another

  18. 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.

  19. Large Scale Emerging Properties from Non Hamiltonian Complex Systems

    Directory of Open Access Journals (Sweden)

    Marco Bianucci

    2017-06-01

    Full Text Available The concept of “large scale” depends obviously on the phenomenon we are interested in. For example, in the field of foundation of Thermodynamics from microscopic dynamics, the spatial and time large scales are order of fraction of millimetres and microseconds, respectively, or lesser, and are defined in relation to the spatial and time scales of the microscopic systems. In large scale oceanography or global climate dynamics problems the time scales of interest are order of thousands of kilometres, for space, and many years for time, and are compared to the local and daily/monthly times scales of atmosphere and ocean dynamics. In all the cases a Zwanzig projection approach is, at least in principle, an effective tool to obtain class of universal smooth “large scale” dynamics for few degrees of freedom of interest, starting from the complex dynamics of the whole (usually many degrees of freedom system. The projection approach leads to a very complex calculus with differential operators, that is drastically simplified when the basic dynamics of the system of interest is Hamiltonian, as it happens in Foundation of Thermodynamics problems. However, in geophysical Fluid Dynamics, Biology, and in most of the physical problems the building block fundamental equations of motions have a non Hamiltonian structure. Thus, to continue to apply the useful projection approach also in these cases, we exploit the generalization of the Hamiltonian formalism given by the Lie algebra of dissipative differential operators. In this way, we are able to analytically deal with the series of the differential operators stemming from the projection approach applied to these general cases. Then we shall apply this formalism to obtain some relevant results concerning the statistical properties of the El Niño Southern Oscillation (ENSO.

  20. A Knowledge-Base for a Personalized Infectious Disease Risk Prediction System.

    Science.gov (United States)

    Vinarti, Retno; Hederman, Lucy

    2018-01-01

    We present a knowledge-base to represent collated infectious disease risk (IDR) knowledge. The knowledge is about personal and contextual risk of contracting an infectious disease obtained from declarative sources (e.g. Atlas of Human Infectious Diseases). Automated prediction requires encoding this knowledge in a form that can produce risk probabilities (e.g. Bayesian Network - BN). The knowledge-base presented in this paper feeds an algorithm that can auto-generate the BN. The knowledge from 234 infectious diseases was compiled. From this compilation, we designed an ontology and five rule types for modelling IDR knowledge in general. The evaluation aims to assess whether the knowledge-base structure, and its application to three disease-country contexts, meets the needs of personalized IDR prediction system. From the evaluation results, the knowledge-base conforms to the system's purpose: personalization of infectious disease risk.