WorldWideScience

Sample records for system state knowledge

  1. Cognitive competence of graduates, oriented to work in the knowledge management system in the state corporation “Rosatom”

    Kireev, V.; Silenko, A.; Guseva, A.

    2017-01-01

    This article describes an approach to the determination of the level of formation of competences of university graduates, oriented to work in the state corporation “Rosatom” in a knowledge management system. With the use of cluster analysis graduate classes were identified, focused on knowledge transfer, analysis and the search for new knowledge, creative transformation of knowledge. In addition, the class innovators were identified, which were fully formed the necessary cognitive competences.

  2. Knowledge and utilization of Indian system of Medicine in the state of Assam

    Ram Janak Yadav

    2015-06-01

    Full Text Available Background: As no study was available about the usage of Indian system of Medicine and homoeopathy in North eastern states accordingly Indian Council of Medical Research entrusted this study to this Institute. Aims & Objective: To know the knowledge, attitude and practices of Indian system of Medicine and homoeopathy in Assam state. Material & Methods: To achieve these objectives, Fifty villages were selected from each selected district for Assam states. Twenty households with at least one member ill during the last three months and availed medical care services for treatment have been selected from each village. About 3,000 households were covered to know their perception about the ISM&H. From these households in all, 4800 sick persons (who fell sick in  last  three months  and  taken   any  treatment  were interviewed. Results:  More than three fourth of the household are being headed by male members.  About 40 percent of households reported to have visited traditional healers at the time of their illness. Bone setting (37%, Dog bite (23%, Jaundice (20%, Measles (16%, Sciatica (9% and Snake bite (5%. Jaundic, Sciatica, Measles and Migraine were the illnesses for which the patients also visited traditional healers. As a whole, ISM&H was preferred in Government setup by 65% in case of normal ailments but in case of serious ailments, assistance preferred for Government was about 25%. Allopathy system was more preferred in case of serious ailments as compared to Ayurveda in normal ailments which were about 45%.

  3. The State-of-the-Art Report for the Knowledge Management System for the Radioactive Waste Depository

    Jeong, Jong Tae; Choi, Jong Won; Choi, Heui Joo; Cho, Dong Keun; Park, Chung Kyun; Cho, Young Chul; Lee, Sang Hun

    2011-09-01

    knowledge management system is necessary for the effective performance of disposal projects. This is a analysis report on the state-of-the-art for the survey of the domestic and foreign knowledge management system and application areas of the knowledge management system. This can be used in the suggestion of the plan for the establishment of the knowledge management system for the waste disposal projects

  4. Toward a New Generation of Agricultural System Data, Models, and Knowledge Products: State of Agricultural Systems Science

    Jones, James W.; Antle, John M.; Basso, Bruno; Boote, Kenneth J.; Conant, Richard T.; Foster, Ian; Godfray, H. Charles J.; Herrero, Mario; Howitt, Richard E.; Janssen, Sander; hide

    2016-01-01

    We review the current state of agricultural systems science, focusing in particular on the capabilities and limitations of agricultural systems models. We discuss the state of models relative to five different Use Cases spanning field, farm, landscape, regional, and global spatial scales and engaging questions in past, current, and future time periods. Contributions from multiple disciplines have made major advances relevant to a wide range of agricultural system model applications at various spatial and temporal scales. Although current agricultural systems models have features that are needed for the Use Cases, we found that all of them have limitations and need to be improved. We identified common limitations across all Use Cases, namely 1) a scarcity of data for developing, evaluating, and applying agricultural system models and 2) inadequate knowledge systems that effectively communicate model results to society. We argue that these limitations are greater obstacles to progress than gaps in conceptual theory or available methods for using system models. New initiatives on open data show promise for addressing the data problem, but there also needs to be a cultural change among agricultural researchers to ensure that data for addressing the range of Use Cases are available for future model improvements and applications. We conclude that multiple platforms and multiple models are needed for model applications for different purposes. The Use Cases provide a useful framework for considering capabilities and limitations of existing models and data.

  5. Knowledge, workflow and electronic document management in the system of the State Nuclear Regulatory Inspectorate of Ukraine. Preparing the platform development and implementation of the Knowledge Portal

    Bozhko, S.G.; Shevchenko, Yi.A.; Pecheritsya, O.V.; Singayivs'kij, A.M.

    2016-01-01

    The previous paper considered the creation of the system for management of nuclear knowledge, workflow and electronic documents (hereinafter called the Knowledge Portal) in the field of safe nuclear energy use. It presented initial steps needed to make an informed decision on the feasibility of implementing the Knowledge Portal and proposed methodological approaches based on practical experience of the State Nuclear Regulatory Inspectorate of Ukraine and the SSTC NRS. Further pre - project activities of the state body, local authorities, enterprises, institutions and organizations irrespective of ownership (hereinafter called the Institution) involve the development and drawing attention to the package of analytical, technical and feasibility documents. In particular, it is recommended to take into account the results of analyzing world trends in the development of information technology, audit status information and telecommunication systems (hereinafter - ITS) of the Institution, detailed strategy for the development of ITS Institution (hereinafter - the Strategy), the concept of the Knowledge Portal (hereinafter - the Concept) and preliminary technical solution The results of review and approval of the Concept and architecture solution by scientific and technical council of the Institution is the basis for the preparation of Ter ms of Reference (hereinafter - TOR) on the development of the Knowledge Portal, forming schedules for the procurement of hardware and software, works on the development and implementation of portal solutions and information security systems

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

    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

  7. [Knowledge and use of the Information System on Public Health Budgets (SIOPS) by municipal health administrators, Pernambuco State, Brazil].

    Silva, Keila Silene de Brito E; Bezerra, Adriana Falangola Benjamin; Sousa, Islândia Maria Carvalho de; Gonçalves, Rogério Fabiano

    2010-02-01

    Considering the importance of Brazil's Information System on Public Health Budgets (SIOPS) as a tool for planning, management, and social control of public expenditures in health, this article aimed to evaluate the relationship between the regularity of data entry into the SIOPS and knowledge and use of the system by municipal health administrators in Pernambuco State, Brazil. Ten municipalities were selected from the State's five meso-regions, five of which entered information into the system and five only on an irregular basis. Semi-structured interviews were performed with the municipal health secretaries. Analysis of the data showed that command of information technology and knowledge of the System do not affect the regularity of data entry, as a function of the distance between the Municipal Health Secretariat administrators and the SIOPS, such that the data are normally entered by outsourced services. Thus, the resulting information has not been fully explored by systems administrators as a management tool.

  8. Prediction-based control for LTI systems with uncertain time-varying delays and partial state knowledge

    Léchappé, V.; Moulay, E.; Plestan, F.

    2018-06-01

    The stability of a prediction-based controller for linear time-invariant (LTI) systems is studied in the presence of time-varying input and output delays. The uncertain delay case is treated as well as the partial state knowledge case. The reduction method is used in order to prove the convergence of the closed-loop system including the state observer, the predictor and the plant. Explicit conditions that guarantee the closed-loop stability are given, thanks to a Lyapunov-Razumikhin analysis. Simulations illustrate the theoretical results.

  9. The tourism knowledge system

    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. A method for predicting errors when interacting with finite state systems. How implicit learning shapes the user's knowledge of a system

    Javaux, Denis

    2002-01-01

    This paper describes a method for predicting the errors that may appear when human operators or users interact with systems behaving as finite state systems. The method is a generalization of a method used for predicting errors when interacting with autopilot modes on modern, highly computerized airliners [Proc 17th Digital Avionics Sys Conf (DASC) (1998); Proc 10th Int Symp Aviat Psychol (1999)]. A cognitive model based on spreading activation networks is used for predicting the user's model of the system and its impact on the production of errors. The model strongly posits the importance of implicit learning in user-system interaction and its possible detrimental influence on users' knowledge of the system. An experiment conducted with Airbus Industrie and a major European airline on pilots' knowledge of autopilot behavior on the A340-200/300 confirms the model predictions, and in particular the impact of the frequencies with which specific state transitions and contexts are experienced

  11. Managing Distributed Knowledge Systems

    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...

  12. U.S. Natural Gas System Methane Emissions: State of Knowledge from LCAs, Inventories, and Atmospheric Measurements (Presentation)

    Heath, G.

    2014-04-01

    Natural gas (NG) is a potential "bridge fuel" during transition to a decarbonized energy system: It emits less carbon dioxide during combustion than other fossil fuels and can be used in many industries. However, because of the high global warming potential of methane (CH4, the major component of NG), climate benefits from NG use depend on system leakage rates. Some recent estimates of leakage have challenged the benefits of switching from coal to NG, a large near-term greenhouse gas (GHG) reduction opportunity. During this presentation, Garvin will review evidence from multiple perspectives - life cycle assessments (LCAs), inventories and measurements - about NG leakage in the US. Particular attention will be paid to a recent article in Science magazine which reviewed over 20 years of published measurements to better understand what we know about total methane emissions and those from the oil and gas sectors. Scientific and policy implications of the state of knowledge will be discussed.

  13. Nitrogen fixation in rice systems: State of knowledge and future prospects

    Ladha, J.K.; Reddy, P.M.

    2001-01-01

    Rice is the most important cereal crop. In the next three decades, the world will need to produce about 60% more rice than today's global production to feed the extra billion people. Nitrogen is the major nutrient limiting rice production. Development of fertilizer-responsive varieties in the Green Revolution, coupled with the realization by farmers of the importance of nitrogen, has led to high rates of N fertilizer use on rice. Increased future demand for rice will entail increased application of fertilizer N. Awareness is growing, however, that such an increase in agricultural production needs to be achieved without endangering the environment. To achieve food security through sustainable agriculture, the requirement for fixed nitrogen must increasingly met by biological nitrogen fixation (BNF) rather than by using nitrogen fixed industrially. It is thus imperative to improve existing BNF systems and develop N 2 -fixing non-leguminous crops such as rice. Here we review the potentials and constraints of conventional BNF systems in rice agriculture, as well as the prospects of achieving in planta nitrogen fixation in rice. (author)

  14. Phenological cues intrinsic in indigenous knowledge systems for forecasting seasonal climate in the Delta State of Nigeria

    Fitchett, Jennifer M.; Ebhuoma, Eromose

    2017-12-01

    Shifts in the timing of phenological events in plants and animals are cited as one of the most robust bioindicators of climate change. Much effort has thus been placed on the collection of phenological datasets, the quantification of the rates of phenological shifts and the association of these shifts with recorded meteorological data. These outputs are of value both in tracking the severity of climate change and in facilitating more robust management approaches in forestry and agriculture to changing climatic conditions. However, such an approach requires meteorological and phenological records spanning multiple decades. For communities in the Delta State of Nigeria, small-scale farming communities do not have access to meteorological records, and the dissemination of government issued daily to seasonal forecasts has only taken place in recent years. Their ability to survive inter-annual to inter-decadal climatic variability and longer-term climatic change has thus relied on well-entrenched indigenous knowledge systems (IKS). An analysis of the environmental cues that are used to infer the timing and amount of rainfall by farmers from three communities in the Delta State reveals a reliance on phenological events, including the croaking of frogs, the appearance of red millipedes and the emergence of fresh rubber tree and cassava leaves. These represent the first recorded awareness of phenology within the Delta State of Nigeria, and a potentially valuable source of phenological data. However, the reliance of these indicators is of concern given the rapid phenological shifts occurring in response to climate change.

  15. Public Health System Research in Public Health Emergency Preparedness in the United States (2009-2015): Actionable Knowledge Base.

    Savoia, Elena; Lin, Leesa; Bernard, Dottie; Klein, Noah; James, Lyndon P; Guicciardi, Stefano

    2017-09-01

    In 2008, the Institute of Medicine released a letter report identifying 4 research priority areas for public health emergency preparedness in public health system research: (1) enhancing the usefulness of training, (2) improving timely emergency communications, (3) creating and maintaining sustainable response systems, and (4) generating effectiveness criteria and metrics. To (1) identify and characterize public health system research in public health emergency preparedness produced in the United States from 2009 to 2015, (2) synthesize research findings and assess the level of confidence in these findings, and (3) describe the evolution of knowledge production in public health emergency preparedness system research. Search Methods and Selection Criteria. We reviewed and included the titles and abstracts of 1584 articles derived from MEDLINE, EMBASE, and gray literature databases that focused on the organizational or financial aspects of public health emergency preparedness activities and were grounded on empirical studies. We included 156 articles. We appraised the quality of the studies according to the study design. We identified themes during article analysis and summarized overall findings by theme. We determined level of confidence in the findings with the GRADE-CERQual tool. Thirty-one studies provided evidence on how to enhance the usefulness of training. Results demonstrated the utility of drills and exercises to enhance decision-making capabilities and coordination across organizations, the benefit of cross-sector partnerships for successfully implementing training activities, and the value of integrating evaluation methods to support training improvement efforts. Thirty-six studies provided evidence on how to improve timely communications. Results supported the use of communication strategies that address differences in access to information, knowledge, attitudes, and practices across segments of the population as well as evidence on specific

  16. Development of operators' mental model acquisition system (2). Integration of knowledge representation about normal and abnormal plant states

    Kitamura, Y.; Ikeda, M.; Mizoguchi, R.; Yoshikawa, S.

    1999-03-01

    This report discusses a representation scheme of device failures anticipated in nuclear power plant, to describe related knowledge in a computer software. Coping ability covering a wide range of physical events is desired in plant operators and maintenance staffs, but it is impractical to give them a set of experience to cover the all possible events in the education/training curriculum. However, in case that their knowledge of plant design and of generally-known physical principles are enforced, their ability of cause identification and of appropriate responding actions against inexperienced events are expected to be enhanced, by combining the basic engineering and physical knowledge. Most of the anomalies anticipated in nuclear power plants are initiated as an incipient failure in some auxiliary equipment initially affecting only within the relative subsystem and hiding from the central control room, and then are propagated to deviate process parameters in the main subsystems to be observed from the control room. Incipient failures in auxiliary subsystems, such as a chemical degrading of an axis holder caused by a blockage of lubricant supply line through increased friction and subsequent extra heating, are typically local and irreversible consequences. On the other hand, deviation propagation in main systems, such as outlet temperature rise by an increased pump rotation friction though decreased coolant flow rate, are typically global and reversible consequences. This paper describes a methodology development to represent a category of knowledge to support operators' and maintenance staffs' effort in understanding local and irreversible failure consequences. (author)

  17. Building Sustainable Knowledge Systems

    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

  18. Knowledge society training system

    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)

  19. KESS: Knowledge Engineering Support System

    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...

  20. An Integrated Knowledge Management System

    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.

  1. Building Community Knowledge Systems

    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...

  2. [Male contraception - the current state of knowledge].

    Zdrojewicz, Zygmynt; Kasperska, Karolina; Lewandowska, Marta

    2016-08-01

    Contraception is important from a health, psychological and socioeconomic point of view. Due to the fact that male-based contraceptive methods are mostly represented by condoms and vasectomy, researchers are working on the new solutions, which could let the men be more involved in a conscious family planning. In this review we will present the current state of knowledge on this subject. There is a lot going on in the field of hormonal contraception. Studies including testosterone, progestins, synthetic androgens and other derivatives are on a different stages of clinical trials and mostly demonstrate high efficacy rates. Recent discovers of Izumo and Juno proteins, essential for the fertilization process, give hope for an easily reversible, non-hormonal method. Researchers are also trying to interfere with the process of spermatogenesis using BRDT inhibitor - JQ1, or neutralize the sperm by injecting styrene maleic anhydride (SMA) into the lumen of the vas deferens. The other studies explore processes involved in proper sperm motility. A vaccine which induces an immune response to the reproductive system is also an interesting method. The latest research use ultrasound waves and mechanical device which blocks the patency of vas deferens. The aim of the study current state of knowledge male contraception. © 2016 MEDPRESS.

  3. Knowledge management systems in practice

    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...

  4. Knowledge-based diagnosis for aerospace systems

    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.

  5. Fault management and systems knowledge

    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...

  6. Red alder: a state of knowledge.

    Robert L. Deal; Constance A. Harrington

    2006-01-01

    In March 23-25, 2005, an international symposium on red alder was held at the University of Washington Center for Urban Horticulture in Seattle, WA. The symposium was entitled "Red alder: A State of Knowledge" and brought together regional experts to critically examine the economic, ecological and social values of red alder. The primary goal of the symposium...

  7. INFORMATION SYSTEM QUALITY CONTROL KNOWLEDGE

    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. Current state of knowledge of hepatic encephalopathy (part IV): Management of Hepatic Encephalopathy by liver support systems.

    Hassanein, Tarek

    2017-04-01

    Hepatic Encephalopathy is a devastating complication of End-Stage Liver Disease. In its severe grades it requires extra intervention beyond the standard medical approaches. In this article were view the role of liver support systems in managing hepatic encephalopthy.

  9. Prior knowledge processing for initial state of Kalman filter

    Suzdaleva, Evgenia

    2010-01-01

    Roč. 24, č. 3 (2010), s. 188-202 ISSN 0890-6327 R&D Projects: GA ČR(CZ) GP201/06/P434 Institutional research plan: CEZ:AV0Z10750506 Keywords : Kalman filtering * prior knowledge * state-space model * initial state distribution Subject RIV: BC - Control Systems Theory Impact factor: 0.729, year: 2010 http://library.utia.cas.cz/separaty/2009/AS/suzdaleva-prior knowledge processing for initial state of kalman filter.pdf

  10. [The role of the mental health community in an evolving mental health system. State of knowledge and recommendations].

    Grenier, Guy; Fleury, Marie-Josée

    2014-01-01

    The objectives of this article are: 1) to trace the history and role of mental health community organizations (MHCO) in the Quebec mental health system as well as their specific values and practices; and 2) to examine the impact of the Quebec Mental Health Plan 2005-2010 on the functioning of community organizations and their relations with the public healthcare system. This article draws upon writings produced by the principal provincial and regional community organization associations in Québec, as well as results of previous studies related to inter-organizational relations among MHCO. The Quebec community-based system consists of several successive generations of the MHCO, each constructed within a particular context. Before 1960, the Canadian Mental Health Association offered activities for promotion and prevention in mental health and participated in the development of several MHCO. The 1970s witnessed the formation of groups aimed at the protection of human rights and the first alternative resources. During the 1980s and 90s, a proliferation of MHCO followed upon their formal recognition by the Ministère de la Santé et des services sociaux (MSSS). These new organizations were established not so much in opposition, or as an alternative, to the public mental health system, but in complement with it. By 2012-13, there were 412 MCHO financed by the MSSS offering services to the population. Roughly half were located in the regions of Montreal, Montérégie and the Capitale Nationale. The MHCO are distinguished from public institutions by a number of characteristics: 1) treatment based not on diagnosis but on the overall situation of the person; 2) shared experience with peers; and 3) empowerment, inviting the person to become involved in decisions concerning his/her treatment and service use as well as decisions that concern the functioning of the organization; 4) establishment of more egalitarian relationships between service users and treating professionals

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

    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.

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

    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

  13. Towards Open Knowledge : The State of World Bank Knowledge Services

    World Bank

    2011-01-01

    This first World Bank Knowledge Report launches what is intended as a series of World Bank Knowledge Reports. Although knowledge is a fundamental to the Bank s overall mission, and informs all of the Bank s development activities, it has not received the same degree of attention from management that has been accorded to its lending activities. By paying attention to knowledge work as a dis...

  14. Deep knowledge and knowledge compilation for dynamic systems

    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)

  15. CRESST Human Performance Knowledge Mapping System

    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...

  16. Validation Of Critical Knowledge-Based Systems

    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.

  17. Information systems for knowledge management

    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

  18. Training system of knowledge society

    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. Emancipatory Indigenous Knowledge Systems: implications for ...

    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.

  20. MSFC Propulsion Systems Department Knowledge Management Project

    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.

  1. Knowledge Management System Model for Learning Organisations

    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…

  2. STATE_SYSTEM

    Kansas Data Access and Support Center — This dataset is a single centerline highway network representation of the 10,000 miles Kansas State Highway System (Interstate, U.S., and Kansas routes). The state...

  3. KNOWLEDGE AND XML BASED CAPP SYSTEM

    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.

  4. CRESST Human Performance Knowledge Mapping System

    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...

  5. Knowledge Modelling for a Hotel Recommendation System

    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...

  6. Current Hitachi knowledge engineering systems: an overview

    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.

  7. KNOWLEDGE MANAGEMENT AND INFORMATION SYSTEMS IN ORGANIZATIONS

    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.

  8. A knowledge based system for plant diagnosis

    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

  9. 7th International Conference on Intelligent Systems and Knowledge Engineering

    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...

  10. Current trends on knowledge-based systems

    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...

  11. Knowledge preservation in scope of 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)

  12. Innovation system and knowledge-intensive entrepreneurship

    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....

  13. Distributed, cooperating knowledge-based systems

    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.

  14. Current state about the cuaternary knowledge of Uruguay

    Anton, D; Goso, H.

    1974-01-01

    This work is about current state of cuaternary knowledge Uruguayan. It is considered that the cuaternary presented a change from the hot and dry weather of the Pliocene to more humid and colder weather in Uruguay.

  15. Intrusion Detection Systems with Live Knowledge System

    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

  16. Impacts of 1.5°C warming on high mountain systems: state of knowledge, challenges and the way forward

    Huggel, Christian; Salzmann, Nadine; Allen, Simon; Frey, Holger; Haeberli, Wilfried; Linsbauer, Andreas; Paul, Frank

    2016-04-01

    approximately 1°C). Corresponding periods of interest are ca. 1850 to 1950 and ca. 1980 to 2000. An important challenge is thereby different response characteristics (to climatic change) of different cryosphere, geomorphological, biospheric and landscape systems and related impacts. We then study existing climate and impact projections for a number of cryosphere and high mountain systems, including glaciers, permafrost, runoff, lake formation and growth, slope stability, vegetation, sediment cascades and landscape changes focusing primarily on the Alps and complemented by available knowledge from the Himalayas and the Andes. Our main conclusion is that the mountain research community urgently needs to pay more attention to the impacts which different warming targets and reference levels imply on highly vulnerable systems in high mountains and the related effects on downstream regions. This is also important in view of a likely upcoming IPCC Special Report on the impacts of 1.5°C warming, as based on a decision adopted at COP21 in Paris.

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

    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...

  18. State Estimation of International Space Station Centrifuge Rotor With Incomplete Knowledge of Disturbance Inputs

    Sullivan, Michael J

    2005-01-01

    This thesis develops a state estimation algorithm for the Centrifuge Rotor (CR) system where only relative measurements are available with limited knowledge of both rotor imbalance disturbances and International Space Station (ISS...

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

    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.

  20. Home Environment Service Knowledge Management System

    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. Knowledge Mobilisation in the Polish Education System

    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…

  2. African Traditional Knowledge Systems and Biodiversity Management

    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 ...

  3. The University Depoliticized: Research and Knowledge in an Authoritarian State

    Odencrantz, Joana Catherine

    2012-01-01

    This dissertation explores the impact of an authoritarian state on the university as represented by the Faculty of Economics and Political Science at Cairo University in Cairo, Egypt. I examine how academics negotiate their tasks of acquiring, disseminating and producing knowledge within the confines of an authoritarian state. "The 2003 Arab…

  4. Towards Modern Collaborative Knowledge Sharing Systems

    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. Fuzzy Dynamic Discrimination Algorithms for Distributed Knowledge Management Systems

    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.

  6. Knowledge based systems advanced concepts, techniques and applications

    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. Management Of Knowledge And System - Evolution Of Knowledge

    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.

  8. Interoperabilidad de sistemas de organización del conocimiento: el estado del arte Interoperability of knowledge organization systems: the state of the art

    Ana M. Martínez Tamayo

    2011-06-01

    Full Text Available La interoperabilidad entre distintos sistemas de organización del conocimiento (SOC ha cobrado gran importancia en los últimos tiempos, con el propósito de facilitar la búsqueda simultánea en varias bases de datos o bien fusionar distintas bases de datos en una sola. Las nuevas normas para el diseño y desarrollo de SOC, la estadounidense Z39.19:2005 y la británica BS 8723-4:2007, incluyen recomendaciones detalladas para la interoperabilidad. También se encuentra en preparación una nueva norma ISO 25964-1 sobre tesauros e interoperabilidad que se agregará a las anteriores. La tecnología disponible proporciona herramientas para este fin, como son los formatos y requisitos funcionales de autoridades y las herramientas de la Web Semántica RDF/OWL, SKOS Core y XML. Por otro lado, actualmente es muy difícil diseñar y desarrollar nuevos SOC debido a los problemas económicos, de modo que la interoperabilidad hace posible aprovechar los SOC existentes. En este trabajo se revisan los conceptos básicos, los modelos y métodos recomendados por las normas, así como numerosas experiencias de interoperabilidad entre SOC que han sido documentadas.The interoperability between knowledge organization systems (KOS has become very important in recent years, in order to facilitate simultaneous searches in several databases or to merge different databases into one. The new standards for KOS design and development, the American Z39.19:2005 and the British 8723-4:2007, include detailed recommendations for interoperability. Also, there is a new ISO standard in preparation, the 25964-1 about thesauri and interoperability, which will be added to the above mentioned ones. The available technology provides tools for interoperability, e.g. formats and functional requirements for subject authority, as well as those for Semantic Web RDF/OWL, SKOS Core and XML. On the other hand, presently it is very hard to design and develop new KOS due to economical problems

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

    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…

  10. Knowledge-based information systems in practice

    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...

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

    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

  12. Learning object repositories as knowledge management systems

    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.

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

    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 ...

  14. Knowledge representation and use. I. Expert systems

    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.

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

    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.

  16. Knowledge-based systems programming for knowledge intensive teaching

    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

    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

    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

    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. Theories are knowledge organizing systems (KOS)

    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...

  1. A comparison of the information technology knowledge of United States and German auditors

    Greenstein-Prosch, Marilyn; McKee, Thomas E.; Quick, Reiner

    2008-01-01

    The International Federation of Accountants has stated that competence in information technology is imperative for the professional accountant due to its pervasive use in the business world. Auditors would normally be expected to have higher knowledge than the average accountant since they must audit the work of many different clients with diverse information systems. We surveyed 2,500 United States and German auditing professionals to determine their self-reported knowledge le...

  2. Eighth International Conference on Intelligent Systems and Knowledge Engineering

    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...

  3. Knowledge representation for decision support systems

    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. Knowledge and Perceptions of Maternal Health in Kaduna State ...

    This cross-sectional descriptive study explored knowledge and perceptions of maternal health and awareness of health services among women and men of reproductive age in rural communities in Zaria, Kaduna state Nigeria. Among the sample of 647 respondents, 72.6% of men and only 35.9% of women had received ...

  5. NASDA knowledge-based network planning system

    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.

  6. Media System, Public Knowledge and Democracy

    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...

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

    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 ...

  8. Serving Diverse Knowledge Systems in Academia

    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.

  9. Knowledge based systems for intelligent robotics

    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.

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

    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…

  11. Toward Knowledge Systems for Sustainability Science

    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

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

    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...

  13. Vehicle electrical system state controller

    Bissontz, Jay E.

    2017-10-17

    A motor vehicle electrical power distribution system includes a plurality of distribution sub-systems, an electrical power storage sub-system and a plurality of switching devices for selective connection of elements of and loads on the power distribution system to the electrical power storage sub-system. A state transition initiator provides inputs to control system operation of switching devices to change the states of the power distribution system. The state transition initiator has a plurality of positions selection of which can initiate a state transition. The state transition initiator can emulate a four position rotary ignition switch. Fail safe power cutoff switches provide high voltage switching device protection.

  14. Applications of Ontologies in Knowledge Management Systems

    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

  15. Generation and utilization of knowledge concerning state change propagation using plant design information

    Nishizawa, Yasuo; Nagaoka, Yukio; Sato, Takao; Matsuki, Tsutomu.

    1992-01-01

    A method of knowledge generation and utilization using design information is described. This method is used to generate rules concerned with propagation of state change in a plant due to equipment manipulation or anomaly. The rules describe macroscopic behavior of plant subsystems consisting of many devices, and are used for high speed information processing in expert systems for plant diagnosis, maintenance, etc. Knowledge generation is comprised of two steps. In the first step, the changes of state values are propagated according to connectivity between devices and the input-output relationships of the devices. In the second step, the input change, output change of plant subsystems, and other information are edited according to the results of state change propagation, and rules for state change propagation are generated. By using these rules, the simulation of state change propagation can be accelerated about 10 times compared with the case of device level propagation. The method of knowledge generation has been applied to the inference system in a maintenance work scheduling system and a new-type expert system was realized. It grows by generating rules for problem solving and by expanding its knowledge base by itself. (author)

  16. Nuclear knowledge management system in the regulatory activity

    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.

  17. Computerized examination system on radioprotection knowledge

    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)

  18. IGENPRO knowledge-based operator support system

    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

  19. Knowledge Representation Using Multilevel Flow Model in Expert System

    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

  20. Knowledge Representation Using Multilevel Flow Model in Expert System

    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.

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

    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 ...

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

    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. Measuring the ROI on Knowledge Management Systems.

    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)

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

    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, ...

  5. From conventional software based systems to knowledge based systems

    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.)

  6. KNOWLEDGE MANAGEMENT SYSTEM DESIGN AT HUMAN RESOURCES DIVISION

    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

  7. Managing Temporal Knowledge in Port Management Systems

    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.

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

    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

  9. Coronary Stents in Diabetic Patients: State of the Knowledge.

    Codner, Pablo; Gurm, Hitinder Singh; Motivala, Apurva

    2017-04-01

    This review article aims to summarize the findings of the most relevant research that compared the use of paclitaxel vs. "limus" based drug eluting stent (DES) in diabetic patients and to define the current state of knowledge with new stent technologies in this patient population. Since drug eluting stents (DES) were introduced, it has been of great interest to establish whether paclitaxel or sirolimus eluting stents have the same safety and efficacy features for patients with coronary artery disease. The answer to this question is particularly relevant for diabetic patients. Several randomized trials, registry-based studies, and meta-analyses have assessed the performance of these different DES in diabetic patients. The most recently published data favors limus over paclitaxel DES in diabetic patients, but most of these studies compared first vs. second generation DES with the inherent caveats of comparing different platforms, alloys, and drug delivery vehicles. In this literature review, we found that there is robust evidence favoring the use of DES over bare metal stents in diabetic patients with coronary artery disease. We also found that the current state of knowledge is that the everolimus eluting stents have better safety and efficacy than paclitaxel eluting stents in diabetic patients and hence should be the preferred choice. New revascularization strategies including bio-absorbable scaffolds, polymer free stents, and bio-degradable polymers are being studied in diabetic patients with encouraging results.

  10. State estimation in networked systems

    Sijs, J.

    2012-01-01

    This thesis considers state estimation strategies for networked systems. State estimation refers to a method for computing the unknown state of a dynamic process by combining sensor measurements with predictions from a process model. The most well known method for state estimation is the Kalman

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

    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.

  12. Knowledge Management Issues in Academic Libraries in Imo State ...

    This paper explored the Knowledge Management (KM) issues in academic libraries. It discussed these issues - types of knowledge and knowledge management practices; the technologies and mechanisms of acquiring; creating; sharing, transferring etc knowledge in the present day knowledge era. It highlighted the ...

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

    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.

  14. Integrated Knowledge Based Expert System for Disease Diagnosis System

    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.

  15. Applying Knowledge Management in Teacher Evaluation Systems

    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…

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

    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 ...

  17. Several required OWL features for indigenous knowledge management systems

    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...

  18. Life cycle assessment and additives: state of knowledge

    is to identify research needs within this area focusing on both risk assessment (RA) and life cycle assessment (LCA). Besides the sectors on paper and plastics also lubricants, textiles, electronics and leather are included in RiskCycle. On plastics a literature review regarding the state of knowledge......Concerns about possible toxic effects from additives/impurities accumulated in globally recycled waste/resources like paper and plastics was one of the main reasons for starting up the EU FP7 Coordination Action project RiskCycle (www.wadef.com/projects/riskcycle). A key aim of the project...... on additives/impurities in LCA has been performed within RiskCycle. Several inventory databases (LCI data) have been investigated and the result shows that most LCI databases use PlasticsEurope data for plastics production. Most of these data are aggregated and do not include additives. Regarding...

  19. Is Information Science an Anomalous State of Knowledge

    Hollnagel, E.

    1980-01-01

    it is not necessary for sciences which concern themselves with behavioral phenomena which have a prior description in natural language. It is further argued that information science should be more interested in uncertainty than in information, and it is shown how the Anomalous State of Knowledge (ASK) paradigm may......This paper looks at some of the problems in information science from the experience with similar problems in psycho logy. The apparent need for a set of rigorous definitions of the basic concepts is discussed, and it is argued that although this is necessary for the natural sciences...... be used to describe itself, hence also informa tion science. It is finally concluded that by turning to problems of uncertainty and lack of information, rather than information, information science may avoid many of the mistakes made by psychology....

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

    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.

  1. Knowledge requirements for information systems outsourcing

    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...

  2. Nuclear power reactor core melt accidents. Current State of Knowledge

    Jacquemain, Didier; Cenerino, Gerard; Corenwinder, Francois; Raimond, Emmanuel IRSN; Bentaib, Ahmed; Bonneville, Herve; Clement, Bernard; Cranga, Michel; Fichot, Florian; Koundy, Vincent; Meignen, Renaud; Corenwinder, Francois; Leteinturier, Denis; Monroig, Frederique; Nahas, Georges; Pichereau, Frederique; Van-Dorsselaere, Jean-Pierre; Couturier, Jean; Debaudringhien, Cecile; Duprat, Anna; Dupuy, Patricia; Evrard, Jean-Michel; Nicaise, Gregory; Berthoud, Georges; Studer, Etienne; Boulaud, Denis; Chaumont, Bernard; Clement, Bernard; Gonzalez, Richard; Queniart, Daniel; Peltier, Jean; Goue, Georges; Lefevre, Odile; Marano, Sandrine; Gobin, Jean-Dominique; Schwarz, Michel; Repussard, Jacques; Haste, Tim; Ducros, Gerard; Journeau, Christophe; Magallon, Daniel; Seiler, Jean-Marie; Tourniaire, Bruno; Durin, Michel; Andreo, Francois; Atkhen, Kresna; Daguse, Thierry; Dubreuil-Chambardel, Alain; Kappler, Francois; Labadie, Gerard; Schumm, Andreas; Gauntt, Randall O.; Birchley, Jonathan

    2015-11-01

    accidents and, secondly, the physical phenomena, studies and analyses described in Chapters 5 to 8. Chapter 5 is devoted to describing the physical phenomena liable to occur during a core melt accident, in the reactor vessel and the reactor containment. It also presents the sequence of events and the methods for mitigating their impact. For each of the subjects covered, a summary of the physical phenomena involved is followed by a description of the past, present and planned experiments designed to study these phenomena, along with their modelling, the validation of which is based on the test results. The chapter then describes the computer codes that couple all of the models and provide the best current state of knowledge of the phenomena. Lastly, this knowledge is reviewed while taking into account the gaps and uncertainties, and the outlook for the future is presented, notably regarding experimental programmes and the development of modelling and numerical simulation tools. Chapter 6 focuses on the behaviour of the containment enclosures during a core melt accident. After summarising the potential leakage paths of radioactive substances through the different containments in the case of the accidents chosen in the design phase, it presents the studies of the mechanical behaviour of the different containments under the loadings that can result from the hazards linked with the phenomena described in Chapter 5. Chapter 6 also discusses the risks of containment building bypass in a core melt accident situation. Chapter 7 presents the lessons learned regarding the phenomenology of core melt accidents and the improvement of nuclear reactor safety. Lastly, Chapter 8 presents a review of development and validation efforts regarding the main computer codes dealing with 'severe accidents', which draw on and build upon the knowledge mainly acquired through the research programmes: ASTEC (IRSN and GRS), MAAP-4 (FAI (US)) and used by EDF and by utilities in many other

  3. A Temporal Fuzzy Logic Formalism for Knowledge Based Systems

    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.

  4. Excited states in biological systems

    Cilento, G.; Zinner, K.; Bechara, E.J.H.; Duran, N.; Baptista, R.C. de; Shimizu, Y.; Augusto, O.; Faljoni-Alario, A.; Vidigal, C.C.C.; Oliveira, O.M.M.F.; Haun, M.

    1979-01-01

    Some aspects of bioluminescence related to bioenergetics are discussed: 1. chemical generation of excited species, by means of two general processes: electron transference and cyclic - and linear peroxide cleavage; 2. biological systems capable of generating excited states and 3. biological functions of these states, specially the non-emissive ones (tripletes). The production and the role of non-emissive excited states in biological systems are analysed, the main purpose of the study being the search for non-emissive states. Experiences carried out in biological systems are described; results and conclusions are given. (M.A.) [pt

  5. POLICIES FOR PROMOTING THE KNOWLEDGE ECONOMY IN THE STATE OF SINALOA, MEXICO

    Santos López-Leyva

    2015-01-01

    Full Text Available This paper offers a perspective for the formulation of public policy in science, technology and innovation (STI for the State of Sinaloa. Today, the productive processes of the regions are developed in what is called "knowledge economy". There are two main theoretical frameworks for the study of this subject. The neoclassical school explains the technological change using production functions and growth models; in second place is evolutionary thinking that builds national and regional categories of innovation systems, technological trajectories and paradigms in science and technology. For the construction of a regional policy in this field is more useful this second school of thought, which complemented an institutionalist vision adequately. A progressive verification method is used for checking each one of the components of the Regional Innovation System (RIS in the case of universities are taken each of the dimensions of quality set by Levin (2006 . The meaning and scope of a regional innovation system is shown and the categories of this construct are hard to visualize Sinaloa developing policy proposals for the development of the region. Stresses elements such as the need to strengthen the pillars of RIS; Sinaloa enroll in the knowledge economy; build the city of knowledge; improve visibility of the knowledge produced in the state, and strengthen the institutional base of the STI. The second element addresses are universities as knowledge producers. A theoretical framework is developed using the concepts of triple helix, two mode of knowledge production, innovative university, Pasteur's quadrant, and academic capitalism. In the qualification of higher education in the state twelve dimensions are used: excellence in research, academic freedom and proper intellectual atmosphere, capacity for self-government, to have adequate facilities and funding, to practice respect for diversity, to achieve internationalization activities, to exercise

  6. Supercoherent states and physical systems

    Fatyga, B.W.; Kostelecky, V.A.; Truax, D.R.

    1991-01-01

    A method is developed for obtaining coherent states of a system admitting a supersymmetry. These states are called supercoherent states. The approach presented in this talk is based on an extension to supergroups of the usual group-theoretic approach. The example of the supersymmetric harmonic oscillator is discussed, thereby illustrating some of the attractive features of the method. Supercoherent states of an electron moving in a constant magnetic field are also described. 35 refs

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

    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. 

  8. A VIEWPOINT ON THE CURRENT STATE OF KNOWLEDGE MANAGEMENT INSTRUMENTS

    ANDREEA PAULA DUMITRU

    2011-04-01

    Full Text Available Knowledge management is seeking solutions to harmonize the objectives of organizations of the human group, which need to rationalize, to provide policy makers and to implement. This article aims to provide readers with an introduction to knowledge management basic definitions, theories and concepts such as types of knowledge, the differences between data, information and knowledge, etc, are given. But, why we need a knowledge management ? This article justified the need for companies to focus management efforts on their intangible elements and provides the five enabling conditions for knowledge creation.

  9. Developing Higher-Order Materials Knowledge Systems

    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

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

    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'…

  11. Information Technology Management Strategies to Implement Knowledge Management Systems

    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…

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

    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.

  13. Intelligent use of knowledge in the EUM system

    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

  14. Knowledge acquisition for nuclear power plant unit diagnostic system

    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

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

    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.

  16. Survey of Knowledge Representation and Reasoning Systems

    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

  17. Evaluating social science and humanities knowledge production: An exploratory analysis of dynamics in science systems

    van Hemert, P.P.; Nijkamp, P.; Verbraak, J.

    2009-01-01

    Knowledge is gaining increasing importance in modern-day society as a factor of production and, ultimately, growth. This article explores the dynamics in university knowledge production and its effect on the state of university-industry-policy exchange in the Netherlands. Science systems are said to

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

    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.

  19. Asset Management Recovery after the Disater: State of Knowledge

    Sapri Maimunah

    2016-01-01

    Full Text Available Asset, infrastructure and business can be destroyed in a split seconds. It only takes a minute for natural disasters such as flood, hurricane and others to happen that will stop the business process and destroying the business as well as their assets. Late response towards the disaster will bring disastrous impact not only to the people but also the social and economic of the impacted people and area. It is therefore important for the organization to ensure speedy recovery of the disaster’s impact such as the assets in an effort to ensure the business survival and facilitating societal and economic recovery. Therefore this paper examines the state of knowledge in relation to the asset management recovery especially after the disaster. Following to that, this paper will discuss the literatures involves in asset management recovery such as disaster management and business continuity plan (BCP. Towards the end, this paper suggests that the effect of lack of planning in asset management recovery will lead to an untold damage towards the community, organization as well as the business, taking months or even years to rectify. In some cases, businesses are shut down for goods due to loss data as well as other emerge problems cause by the disaster.

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

    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.

  1. Solid state electrolyte systems

    Pederson, L.R.; Armstrong, B.L.; Armstrong, T.R. [Pacific Northwest Lab., Richland, WA (United States)] [and others

    1997-12-01

    Lanthanum gallates are a new family of solid electrolytes that exhibit high ionic conductivity and are stable to high temperatures. Compositions have been developed that are as much as a factor of two more conductive than yttria-stabilized zirconia at a given temperature, through partial replacement of lanthanum by calcium, strontium, and/or barium and through partial replacement of gallium by magnesium. Oxide powders were prepared using combustion synthesis techniques developed in this laboratory; these were sintered to >95% of theoretical density and consisted of a single crystalline phase. Electrical conductivities, electron and ion transference numbers, thermal expansion, and phase behavior were evaluated as a function of temperature and oxygen partial pressure. A key advantage of the use of lanthanum gallate electrolytes in solid oxide fuel cells is that the temperature of operation may be lowered to perhaps 800 C, yet provide approximately the same power density as zirconia-based cells operating at 1000 C. Ceramic electrolytes that conduct both oxygen ions and electrons are potentially useful to passively separate pure oxygen from an air source at low cost. In such materials, an oxygen ion flux in one direction is charge-compensated by an opposing electron flux. The authors have examined a wide range of mixed ion and electron conducting perovskite ceramics in the system La{sub 1{minus}x}M{sub x}Co{sub 1{minus}y{minus}z}Fe{sub y}N{sub z}O{sub 3{minus}{delta}}, where M = Sr, Ca, and Ba, and N = Pr, Mn, Ni, Cu, Ti, and Al, as well as mixed conducting brownmillerite ceramics, and have characterized oxygen permeation behavior, defect chemistry, structural and phase stability, and performance as cathodes.

  2. THE UNITED STATES EDUCATIONAL SYSTEM

    David Suriñach Fernández

    2017-01-01

    The United States educational system is very complex. Due to the fact a big number of agents take play of its regulation, the differences between the education from one State compared to the education from another, or even between school districts, might be considerable. The last two largest federal education initiatives, No Child Left Behind and Race to the Top, have had a huge impact on the American education system. The escalation of the standardized test throughout the whole country as a ...

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

    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.

  4. Knowledge Based Help desk System in Nuclear Malaysia

    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)

  5. The State Strategies for Building the Knowledge Economy: the Transformation Vector and Group Features

    Khanin Igor G.

    2017-12-01

    Full Text Available The aim of the article is to analyze the state strategies for building the knowledge economy, determine the directions of transformation and group features of the developed countries and the most economically powerful developing countries. Attention is drawn to the modern world context of historical circumstances affecting the state strategies for the transition to the knowledge economy, the changes in patterns of economic growth and the new stage of globalization associated with the development and dissemination of knowledge. In this regard, there singled out a number of global megatrends covering scientific and technical activities, international trade in high-technology goods and knowledge-intensive services, international migration of labor, etc. There also noted the change in the paradigm of rivalry and the “architecture” of the global economic leadership. The indicators of scientific and technical activities in several countries are analyzed, which proves the preservation of asymmetry. The results of the analysis of the strategies for building the knowledge economy in a number of developed countries (the US, EU countries, Germany, France, Denmark, Finland, Sweden, Japan, South Korea, Singapore, Israel and developing countries (China, India, Malaysia, Brazil, South Africa, Mexico are presented. Their participation in the world scientific progress and innovation process is characterized, as well as the main directions of transformations in terms of the transition to the knowledge economy (new industrialization, development of science and education, improvement of innovation systems, development of international scientific and technical cooperation, etc.. One of the factors of structural changes at all levels is macro innovations. Within the framework of the proposed concept, three types of such innovations are distinguished: scientific and paradigm, structural, and transformational. Their relationship with the foreign economic strategy

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

    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.

  7. AUGMENTED REALITY - STATE OF KNOWLEDGE, USE AND EXPERIMENTATION

    Mihaela Filofteia TUTUNEA

    2013-12-01

    Full Text Available Technologies for augmenting reality have been consolidated during the last decades, extending their applicability to more and more socio-economic areas. The rapid evolution of mobile technologies and virtualization of the digital environment have created auspicious conditions for massive extension and implementation of solutions for augmenting reality at global level. Experience has already shown that augmented reality, alongside virtual reality can offer very important support solutions in modeling the real world with the aim of extending the human capabilities of perception, allowing the opening of a new phase in the world’s socio-economic development. Starting from the evident tendencies that have manifested at global level in the development and implementation of augmented reality technologies, the paper begins with the presentation of the most important aspects related to augmented reality technologies, highlighting their main areas of application, and presents the study realized for identifying the level of knowledge, use and effective experimentation of augmented reality applications by mobile device users. The results of this study could be very useful to the socio-economic environment, starting with the field of research, continuing with developers and providers of augmented reality solutions, manufacturers and providers of hardware infrastructure support for augmented reality solutions and systems, final users of these solutions, both individuals and businesses, and experimenting digital communities.

  8. Recommender systems in knowledge-mining

    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.

  9. Knowledge-based systems for power management

    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.

  10. Irrelevance Reasoning in Knowledge Based Systems

    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.

  11. Knowledge Management System Di Bidang Pelayaran Menggunakan Metodologi USDP

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

    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).

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

    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)

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

    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.

  15. The Utilisation of Facebook for Knowledge Sharing in Selected Local Government Councils in Delta State, Nigeria

    Uzoma Heman Ononye

    2017-09-01

    Full Text Available Aim/Purpose: Facebook has made it possible for organisation to embrace social and network centric knowledge processes by creating opportunities to connect, interact, and collaborate with stakeholders. We have witnessed a significant increase in the popularity and use of this tool in many organisations, especially in the private sector. But the utilisation of Facebook in public organisations is at its infancy, with many also believing that the use of Facebook is not a common practice in many public organisations in Nigeria. In spite of this fact, our discernment on the implications of Facebook usage in public organisations in Nigeria, especially organisations at the local level, seem to be remarkably limited. This paper specifically sought to ascertain if Facebook usage influenced inward and outward knowledge sharing in the selected local government councils in Delta State, Nigeria Methodology: The qualitative method was adopted. The study used interview as the primary means of data gathering. The study purposively sampled thirty-six employees as interviewees, twenty from Oshimili South and sixteen from Oshimili North local government councils respectively. The thematic content analysis method was used to analyse interview transcripts. Contribution: This research made distinct contributions to the available literature in social knowledge management, specifically bringing to the fore the intricacies surrounding the use of Facebook for knowledge sharing purposes in the public sector. Findings: The local government councils were yet to appreciate and utilise the interactive and collaborative nature of Facebook in improving stakeholders’ engagement, feedback, and cooperation. Facebook was used for outward knowledge sharing but not for inward knowledge sharing. Recommendations for Practitioners: Local government councils should encourage interaction via Facebook, show willingness to capture knowledge from identifiable sources, and effectively manage

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

    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

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

    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.

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

    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.

  19. Patient knowledge of urethral stricture disease in a state sector ...

    M. Barnard

    2018-02-16

    Feb 16, 2018 ... Introduction: The knowledge urethral stricture patients in a developing country Specialist Clinic have ... A systematic review done by DeWalt et al. confirms that low literacy ... The questionnaire was translated into Afrikaans and.

  20. Universal knowledge state on the Order Uredinales (Fungi, Royas)

    Buritica Cespedes, Pablo

    2003-01-01

    This critical analysis provides information about several natural events that occur in Uredinales related with the current universal knowledge. Emphasis is done in the necessity of go deep into learning about essential elements to understand their tree of life

  1. Indilinga: African Journal of Indigenous Knowledge Systems

    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 ...

  2. Developing a knowledge system for information operations

    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...

  3. Knowledge representation within information systems in manufacturing environments

    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...

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

    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.

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

    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

    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. SOME CONCEPTUAL PROPERTIES FOR KNOWLEDGE MANAGEMENT SYSTEMS DESIGN

    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.

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

    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

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

    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.

  10. Formal Support for Development of Knowledge-Based Systems

    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

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

    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 ...

  12. Development of knowledge base system linked to material database

    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)

  13. Development of maintenance knowledge management system for power plant

    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)

  14. The construction of knowledge service system in professional libraries

    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)

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

    ... 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.

  16. Reusing knowledge in embedded system modelling

    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

  17. Systemic study of knowledge generation at IPEN

    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)

  18. Developing knowledge management systems with an active expert methodology

    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)

  19. The baltic states' energy system

    Nikitaravičius, Martynas

    2006-01-01

    THE BALTIC STATES’ ENERGY SYSTEM SUMMARY The goal of paper – the comparative analysis of Baltic states‘ (i.e. of Lithuania, Latvia, Estonia) energy systems in 1990-2004. The main causes that affected the development of Baltic states’ energetics are indicated in this work. By the method of statistical analysis, the comparative advantages of Baltic states‘ energetics are detected. Moreover, the main trends of further development of integration of Baltic states ‘ energetics into the energetics o...

  20. Process fault diagnosis using knowledge-based systems

    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

  1. A Knowledge Dictionary System for Scheduling Support

    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

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

    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 ...

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

    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.

  4. Knowledge asset management pertinent to information systems outsourcing

    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...

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

    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 ...

  6. Enhanced digital library system that supports sustainable knowledge

    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.

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

    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.

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

    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.

  9. State Estimation of International Space Station Centrifuge Rotor With Incomplete Knowledge of Disturbance Inputs

    Sullivan, Michael J.

    2005-01-01

    This thesis develops a state estimation algorithm for the Centrifuge Rotor (CR) system where only relative measurements are available with limited knowledge of both rotor imbalance disturbances and International Space Station (ISS) thruster disturbances. A Kalman filter is applied to a plant model augmented with sinusoidal disturbance states used to model both the effect of the rotor imbalance and the 155 thrusters on the CR relative motion measurement. The sinusoidal disturbance states compensate for the lack of the availability of plant inputs for use in the Kalman filter. Testing confirms that complete disturbance modeling is necessary to ensure reliable estimation. Further testing goes on to show that increased estimator operational bandwidth can be achieved through the expansion of the disturbance model within the filter dynamics. In addition, Monte Carlo analysis shows the varying levels of robustness against defined plant/filter uncertainty variations.

  10. Frame model of knowledge in quality control systems

    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.

  11. Cassava bacterial blight in Africa: the state of knowledge and ...

    Introduced to Africa in the 1970s, cassava bacterial blight caused by Xanthomonas campestris pv. manihotis (XCM) is present in almost all cropping areas. In the past fifteen years, advances have been made in knowledge of the biology and molecular genetics of XCM, host-parasite relationships and epidemiology of the ...

  12. Dacfood: a knowledge-based system for decision support in case of radiological contamination of foodstuffs

    Diaz, A.; Despres, A.; Soulatges, D.

    1991-01-01

    In case of radiological contamination of foodstuffs, the introduction of a countermeasure has to be justified by balancing its advantages and drawbacks, as recommended by ICRP. Also, to provide authorities with information about the decision context, it has been decided to develop a Decision Support System (DSS). A knowledge-based approach is used for the DSS. Indeed, it allows: . better modelling thanks to, for instance, object oriented programming and rules, . ability to introduce more knowledge thanks to an easier consistency and validity control of the knowledge base, . handling of uncertainties (incomplete, uncertain or evolving knowledge). The present state of the system is presented. DACFOOD is a decision aiding system for contamined foodstuffs, based on a knowledge-based approach. A demonstration model has been developed in a post-Chernobyl CEC research program. It evaluates the sanitary situation, the alternative actions through costs and sanitary effects, and gives information on the decisional background

  13. Knowledge-based operator guidance system for Japanese PWRs

    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

  14. A Note on Systems Intelligence in Knowledge Management

    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…

  15. Knowledge based development of graphic display systems

    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

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

    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.

  17. Nuclear Power Reactor Core Melt Accidents. Current State of Knowledge

    Bentaib, Ahmed; Bonneville, Herve; Clement, Bernard; Cranga, Michel; Fichot, Florian; Koundy, Vincent; Meignen, Renaud; Corenwinder, Francois; Leteinturier, Denis; Monroig, Frederique; Nahas, Georges; Pichereau, Frederique; Van-Dorsselaere, Jean-Pierre; Cenerino, Gerard; Jacquemain, Didier; Raimond, Emmanuel; Ducros, Gerard; Journeau, Christophe; Magallon, Daniel; Seiler, Jean-Marie; Tourniaire, Bruno

    2013-01-01

    For over thirty years, IPSN and subsequently IRSN has played a major international role in the field of nuclear power reactor core melt accidents through the undertaking of important experimental programmes (the most significant being the Phebus- FP programme), the development of validated simulation tools (the ASTEC code that is today the leading European tool for modelling severe accidents), and the coordination of the SARNET (Severe Accident Research Network) international network of excellence. These accidents are described as 'severe accidents' because they can lead to radioactive releases outside the plant concerned, with serious consequences for the general public and for the environment. This book compiles the sum of the knowledge acquired on this subject and summarises the lessons that have been learnt from severe accidents around the world for the prevention and reduction of the consequences of such accidents, without addressing those from the Fukushima accident, where knowledge of events is still evolving. The knowledge accumulated by the Institute on these subjects enabled it to play an active role in informing public authorities, the media and the public when this accident occurred, and continues to do so to this day

  18. Real-time expert systems and deep knowledge models

    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

  19. An Intelligent Knowledge Management System from a Semantic Perspective

    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.

  20. Ready to Assemble: Grading State Higher Education Accountability Systems

    Aldeman, Chad; Carey, Kevin

    2009-01-01

    States need strong higher education systems, now more than ever. In the tumultuous, highly competitive 21st century economy, citizens and workers need knowledge, skills, and credentials in order to prosper. Yet many colleges and universities are falling short. To give all students the best possible postsecondary education, states must create…

  1. Knowledge and attitude of civil servants in Osun State ...

    In Nigeria, inequity and poor accessibility to quality health care has been a persistent problem. ... This is a descriptive, cross sectional study of 380 civil servants in the employment of Osun state ... ideally should benefit from the scheme.

  2. Ecosystem services provided by pacific NW Estuaries: State of knowledge

    Coastal regions in the United States are rapidly developing areas, with increasing urbanization and growing populations. Estuarine and nearshore coastal marine waters provide valuable ecosystem services to resident and transient human communities. In the Pacific Northwest (PNW)...

  3. Coastal fisheries research: State of knowledge and needs for Goa

    Parulekar, A.H.

    The status of coastal fisheries for the state of Goa (India) is discussed. The research and development capabilities of various institutions; capture fisheries; culture fisheries; and coastal aquaculture in Goa is discussed. It has been found...

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

    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.

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

    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

  6. SIIA: a knowledge-based assistant for the SAFT ultrasonic inspection system(a)

    Melton, R.B.; Doctor, S.R.; Taylor, T.T.; Badalamente, R.V.

    1987-01-01

    SIIA(b) is a knowledge-based system designed to assist in making the operation of the Synthetic Aperture Focussing Technique (SAFT) Ultrasonic Inspection System more reliable and efficient. This paper reports on their effort to develop a prototype version of SIIA to demonstrate the feasibility of using knowledge-based systems in nondestructive evaluation (NDE). The first section of the paper describes the structure of the problem and their conceptual design of the knowledge-based system. The next section describes the current state of the prototype SIIA system and relates some of their experiences in developing the system. The final section discusses their plans for future development of SIIA and the implications of this type of system for other NDE techniques and applications

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

    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

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

    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)

  9. Knowledge based system for control rod programming of BWRs

    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)

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

    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

  11. Azelaic acid in dermatological treatment – current state of knowledge

    Radomir Reszke

    2016-09-01

    Full Text Available Azelaic acid (AZA is a naturally occurring substance produced by Malassezia furfur which exerts various effects on the skin. Azelaic acid has antibacterial, anti-inflammatory, keratolytic, comedolytic, sebostatic and tyrosinase-inhibiting properties. Topical application of AZA as 20% cream or 15% gel is a well-established therapeutic method in various common dermatoses, mainly acne vulgaris, rosacea and disorders associated with hyperpigmentation. Azelaic acid is used as a component of chemical peels as well. The paper summarizes the most relevant issues concerning AZA application in dermatological treatment based on current knowledge.

  12. Endodontic Microbiology and Pathobiology: Current State of Knowledge.

    Fouad, Ashraf F

    2017-01-01

    Newer research tools and basic science knowledge base have allowed the exploration of endodontic diseases in the pulp and periapical tissues in novel ways. The use of next generation sequencing, bioinformatics analyses, genome-wide association studies, to name just a few of these innovations, has allowed the identification of hundreds of microorganisms and of host response factors. This review addresses recent advances in endodontic microbiology and the host response and discusses the potential for future innovations in this area. Copyright © 2016 Elsevier Inc. All rights reserved.

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

    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

  14. Release Early, Release Often: Predicting Change in Versioned Knowledge Organization Systems on the Web

    Meroño-Peñuela, Albert; Guéret, Christophe; Schlobach, Stefan

    2015-01-01

    The Semantic Web is built on top of Knowledge Organization Systems (KOS) (vocabularies, ontologies, concept schemes) that provide a structured, interoperable and distributed access to Linked Data on the Web. The maintenance of these KOS over time has produced a number of KOS version chains: subsequent unique version identifiers to unique states of a KOS. However, the release of new KOS versions pose challenges to both KOS publishers and users. For publishers, updating a KOS is a knowledge int...

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

    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.

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

    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.

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

    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

  18. A real time knowledge-based alarm system EXTRA

    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

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

    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.

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

    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.

  1. Knowledge Representation Artifacts for Use in Sensemaking Support Systems

    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

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

    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.

  3. CDC STATE System Tobacco Legislation - Licensure

    U.S. Department of Health & Human Services — 1995-2018. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Licensure. The STATE System...

  4. CDC STATE System Tobacco Legislation - Tax

    U.S. Department of Health & Human Services — 1995-2017. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation-Tax. The STATE System...

  5. CDC STATE System Tobacco Legislation - Tax

    U.S. Department of Health & Human Services — 1995-2018. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation-Tax. The STATE System...

  6. Cyanobactins from Cyanobacteria: Current Genetic and Chemical State of Knowledge.

    Martins, Joana; Vasconcelos, Vitor

    2015-11-13

    Cyanobacteria are considered to be one of the most promising sources of new, natural products. Apart from non-ribosomal peptides and polyketides, ribosomally synthesized and post-translationally modified peptides (RiPPs) are one of the leading groups of bioactive compounds produced by cyanobacteria. Among these, cyanobactins have sparked attention due to their interesting bioactivities and for their potential to be prospective candidates in the development of drugs. It is assumed that the primary source of cyanobactins is cyanobacteria, although these compounds have also been isolated from marine animals such as ascidians, sponges and mollusks. The aim of this review is to update the current knowledge of cyanobactins, recognized as being produced by cyanobacteria, and to emphasize their genetic clusters and chemical structures as well as their bioactivities, ecological roles and biotechnological potential.

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

    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.

  8. Knowledge management systems for oral health in developing and developed countries.

    Nattestad, Anders

    2012-10-01

    Knowledge management systems utilize information technology to manage knowledge in organizations with the purpose of creating, supporting, storing and disseminating information. These systems have been around for decades, but have significantly changed over time in complexity and features with the evolution of information technology and the Internet. With the development of these new technologies, the concept of knowledge management has thrived and has had significant impact on the way in which knowledge is accumulated, stored and accessed. This article will describe the historical development of knowledge management systems in oral health, illustrate the technology using examples and explore the future use of these systems with emerging technologies such as Google Wave®. One example of how knowledge management systems may affect the quality of dental education is the DentEd project, where a collaborative website was developed to coordinate dental school visitations and collection of reports from working groups, leading to several important publications. MEDLINE is another example of an effective knowledge management system in health care, providing access to health care-related scientific literature, which is highly organized under the auspices of the United States National Library of Medicine. Another and very differently organized example of an effective knowledge management system is Wikipedia, which is a free, web-based, collaborative, multilingual encyclopedia project supported by a nonprofit foundation. The final example of an effective knowledge management system is all of the social media, including Facebook and Twitter. These tools have proven very powerful in organizing and collaborating. In conclusion, the development of new technologies and the Internet have changed the way in which information is developed and accessed. This development is still ongoing and only the future will reveal how this will continue to change. © 2012 John Wiley & Sons A/S.

  9. International Nuclear Information System: Researchers' Platform for Knowledge Sharing

    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)

  10. State of knowledge and concerns on cyanobacterial blooms and cyanotoxins.

    Merel , Sylvain; Walker , David; Chicana , Ruth; Snyder , Shane; Baurès , Estelle; Thomas , Olivier

    2013-01-01

    International audience; Cyanobacteria are ubiquitous microorganisms considered as important contributors to the formation of Earth's atmosphere and nitrogen fixation. However, they are also frequently associated with toxic blooms. Indeed, the wide range of hepatotoxins, neurotoxins and dermatotoxins synthesized by these bacteria is a growing environmental and public health concern. This paper provides a state of the art on the occurrence and management of harmful cyanobacterial blooms in surf...

  11. Optimising performance in steady state for a supermarket refrigeration system

    Green, Torben; Kinnaert, Michel; Razavi-Far, Roozbeh

    2012-01-01

    Using a supermarket refrigeration system as an illustrative example, the paper postulates that by appropriately utilising knowledge of plant operation, the plant wide performance can be optimised based on a small set of variables. Focusing on steady state operations, the total system performance...

  12. An introduction to system reliability for solid-state lighting

    Driel, W.D. van; Evertz, F.E.; Zaal, J.J.M.; Morales Nápoles, O.; Yuan, C.A.

    2013-01-01

    Solid-State Lighting (SSL) applications are slowly but gradually pervading into our daily life. An SSL system is composed of an light-emitting diode (LED) engine with a microelectronic driver(s) in a housing that also supplies the optic design. Knowledge of system-level reliability is crucial for

  13. A Reasoning Algorithm Embedded in a Knowledge Management System

    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.

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

    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

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

    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.

  16. Knowledge based operation assist system for JAERI AVF cyclotron

    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)

  17. Consultation system with knowledge representation by decision rules

    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.

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

    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...

  19. Creep in jointed rock masses. State of knowledge

    Glamheden, Rune; Hoekmark, Harald

    2010-06-01

    To describe creep behaviour in hard rock masses in a physically realistic way, elaborate models including various combinations of dash pots, spring elements and sliders would be needed. According to our knowledge, there are at present no numerical tools available that can handle such a creep model. In addition, there are no records over sufficient long time periods of tunnel convergence in crystalline rock that could be used to determine or calibrate values for the model parameters. A possible method to perform bounding estimates of creep movements around openings in a repository may be to use distinct element codes with standard built-in elasto-plastic models. By locally reducing the fracture shear strength near the underground openings a relaxation of fracture shear loads is reached. The accumulated displacements may then represent the maximum possible effects of creep that can take place in a jointed rock mass without reference to the actual time it takes to reach the displacements. Estimates based on results from analyses where all shear stresses are allowed to disappear completely will, however, be over-conservative. To be able to set up and analyse reasonably realistic numerical models with the proposed method, further assumptions regarding the creep movements and the creep region around the opening have to be made. The purpose of this report is to present support for such assumptions as found in the literature

  20. Creep in jointed rock masses. State of knowledge

    Glamheden, Rune (Golder Associates AB (Sweden)); Hoekmark, Harald (Clay Technology AB, Lund (Sweden))

    2010-06-15

    To describe creep behaviour in hard rock masses in a physically realistic way, elaborate models including various combinations of dash pots, spring elements and sliders would be needed. According to our knowledge, there are at present no numerical tools available that can handle such a creep model. In addition, there are no records over sufficient long time periods of tunnel convergence in crystalline rock that could be used to determine or calibrate values for the model parameters. A possible method to perform bounding estimates of creep movements around openings in a repository may be to use distinct element codes with standard built-in elasto-plastic models. By locally reducing the fracture shear strength near the underground openings a relaxation of fracture shear loads is reached. The accumulated displacements may then represent the maximum possible effects of creep that can take place in a jointed rock mass without reference to the actual time it takes to reach the displacements. Estimates based on results from analyses where all shear stresses are allowed to disappear completely will, however, be over-conservative. To be able to set up and analyse reasonably realistic numerical models with the proposed method, further assumptions regarding the creep movements and the creep region around the opening have to be made. The purpose of this report is to present support for such assumptions as found in the literature.

  1. Sustaining the Knowledge Base of the United States Air Force for Future Operations

    2015-12-10

    separates the actual system from the individual. In contrast, Tan , Carrillo, Anumba, Bouchlaghem, Kamara, and Udeaja contended that knowledge management...individual in knowledge management,” 433. 37 Hai Chen Tan et al., “Development of a Methodology for Live Capture and Reuse of Project Knowledge in...Hasan, Maruif and Songkai Nicholas Zhou. “Knowledge Management in Global Organizations,” International Business Research, 8, no. 6 (Spring 2015): 165

  2. Coherent states in constrained systems

    Nakamura, M.; Kojima, K.

    2001-01-01

    When quantizing the constrained systems, there often arise the quantum corrections due to the non-commutativity in the re-ordering of constraint operators in the products of operators. In the bosonic second-class constraints, furthermore, the quantum corrections caused by the uncertainty principle should be taken into account. In order to treat these corrections simultaneously, the alternative projection technique of operators is proposed by introducing the available minimal uncertainty states of the constraint operators. Using this projection technique together with the projection operator method (POM), these two kinds of quantum corrections were investigated

  3. Knowledge management for modelling nuclear power plants control in incidental and accidental states

    MIllerat, P.

    1996-11-01

    A knowledge model uses different techniques of complex systems management. Progress realised in the computer representation of links between different documents allows us to design a software facilitating the comprehension of the model built. This model is a qualitative model of the operators' behaviour in nuclear power plant accidental control. This model concerned three topics closely linked together. The first gives a description of every physical phenomena implied the application of the State-oriented Approach (APE in French) procedures. It's referred as model of process. The second gives a description of every activities used by the operators' team to manage all thermohydraulic incidents and accidents. It's a functional model also referred as tasks model. The quality of the method, based on the Systems' Science, capitalized a know-how simply transferable to design a new software on industrial process to support the operators. (author)

  4. Putting Encyclopaedia Knowledge into Structural Form: Finite State Transducers Approach

    Pajić Vesna

    2011-06-01

    Full Text Available In biology and functional genomics in particular, understanding the dependence and interplay between different genome and ecological characteristics of organisms is a very challenging problem. There are some public databases which combine this kind of information, but there is still much more information about microbes and other organisms that reside in unstructured and semi-structured documents, such as encyclopaedias. In this paper we present a method for extracting information from semi-structured resources, such as encyclopaedias, based on finite state transducers, consisting of two clearly distinguished phases. The first phase strongly relies on the analysis of the document structure and it is used for locating records of data in the text. The second phase is based on the finite state transducers created for extracting the data, which can be modified so as to achieve the preferred efficiency and it is used for extracting the particular characteristic from the text. We show how the two phase method is applied to the text of the encyclopaedia “Systematic Bacteriology”. A fully structured database with genotype and phenotype characteristics of organisms has been created from the encyclopaedia unstructured descriptions.

  5. Does state-level context matter for individuals' knowledge about abortion, legality and health? Challenging the 'red states v. blue states' hypothesis.

    Bessett, Danielle; Gerdts, Caitlin; Littman, Lisa L; Kavanaugh, Megan L; Norris, Alison

    2015-01-01

    Recently, the hypothesis that state-level political context influences individuals' cultural values--the 'red states v. blue states' hypothesis--has been invoked to explain the hyper-polarisation of politics in the USA. To test this hypothesis, we examined individuals' knowledge about abortion in relation to the political context of their current state of residence. Drawing from an internet-survey of 586 reproductive-age individuals in the USA, we assessed two types of abortion knowledge: health-related and legality. We found that state-level conservatism does not modify the existing relationships between individual predictors and each of the two types of abortion knowledge. Hence, our findings do not support the 'red states' versus 'blue states' hypothesis. Additionally, we find that knowledge about abortion's health effects in the USA is low: 7% of our sample thought abortion before 12 weeks gestation was illegal.

  6. A knowledge-based system for prototypical reasoning

    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.

  7. ERP System Audit a Control Support For Knowledge Management

    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.

  8. Medical tourism today: what is the state of existing knowledge?

    Hopkins, Laura; Labonté, Ronald; Runnels, Vivien; Packer, Corinne

    2010-07-01

    One manifestation of globalization is medical tourism. As its implications remain largely unknown, we reviewed claimed benefits and risks. Driven by high health-care costs, long waiting periods, or lack of access to new therapies in developed countries, most medical tourists (largely from the United States, Canada, and Western Europe) seek care in Asia and Latin America. Although individual patient risks may be offset by credentialing and sophistication in (some) destination country facilities, lack of benefits to poorer citizens in developing countries offering medical tourism remains a generic equity issue. Data collection, measures, and studies of medical tourism all need to be greatly improved if countries are to assess better both the magnitude and potential health implications of this trade.

  9. Dissemination of Knowledge about NPP Instrumentation and Control Systems

    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

  10. State distribution and reliability of some multi- state systems with ...

    mn : G series systems and second, the multi-state consecutive kn-out-of-mn : G parallel systems (see denitions 1 and 2).We begin by giving a non recursive formula which calculates the state distribution and the reliability of multi-state ...

  11. AN INTRODUCTION TO KNOWLEDGE-GROWING SYSTEM: A NOVEL FIELD IN ARTIFICIAL INTELLIGENCE

    Arwin Datumaya Wahyudi Sumari

    2010-07-01

    Full Text Available The essential matter of Artificial Intelligence (AI is how to build an entity that mimics human intelligence in the way of learning of a phenomenon in a real life to gain knowledge of it and uses the knowledge to solve problems related to it. Based on the findings of intelligenct characteristic displayed by the human brain in growing and generating new knowledge by fusing information perceived by sensory organs, we develop brain-inspired Knowledge-Growing System (KGS that is, a system that is capable of growing its knowledge along with the accretion of information as the time passes. The essential matter of KGS is knowledge-growing method which is based on a new algorithm called Observation Multi-time A3S (OMA3S information-inferencing fusion method. In this paper we deliver the development of KGS along with some examples of KGS application to a real-life problem. Based on the state-of-the-art of AI and approaches to construct OMA3S method as KG method as well as validations to assess the system performance, we state that brain-inspired KGS is a novel field in AI.

  12. 8 CFR 312.2 - Knowledge of history and government of the United States.

    2010-01-01

    ... fundamentals of the history, and of the principles and form of government, of the United States. A person who... person who is unable to demonstrate a knowledge and understanding of the fundamentals of the history, and... knowledge and understanding. (Approved by the Office of Management and Budget under control number 1115-0208...

  13. Preschool-aged children’s understanding of gratitude: Relations with emotion and mental state knowledge

    Nelson, Jackie A.; de Lucca Freitas, Lia Beatriz; O’Brien, Marion; Calkins, Susan D.; Leerkes, Esther M.; Marcovitch, Stuart

    2016-01-01

    Developmental precursors to children’s early understanding of gratitude were examined. A diverse group of 263 children were tested for emotion and mental state knowledge at ages 3 and 4, and their understanding of gratitude was measured at age 5. Children varied widely in their understanding of gratitude, but most understood some aspects of gratitude-eliciting situations. A model-building path analysis approach was used to examine longitudinal relations among early emotion and mental state knowledge and later understanding of gratitude. Children with a better early understanding of emotions and mental states understand more about gratitude. Mental state knowledge at age 4 mediated the relation between emotion knowledge at age 3 and gratitude understanding at age 5. The current study contributes to the scant literature on the early emergence of children’s understanding of gratitude. PMID:23331105

  14. A Knowledge Discovery from POS Data using State Space Models

    Sato, Tadahiko; Higuchi, Tomoyuki

    The number of competing-brands changes by new product's entry. The new product introduction is endemic among consumer packaged goods firm and is an integral component of their marketing strategy. As a new product's entry affects markets, there is a pressing need to develop market response model that can adapt to such changes. In this paper, we develop a dynamic model that capture the underlying evolution of the buying behavior associated with the new product. This extends an application of a dynamic linear model, which is used by a number of time series analyses, by allowing the observed dimension to change at some point in time. Our model copes with a problem that dynamic environments entail: changes in parameter over time and changes in the observed dimension. We formulate the model with framework of a state space model. We realize an estimation of the model using modified Kalman filter/fixed interval smoother. We find that new product's entry (1) decreases brand differentiation for existing brands, as indicated by decreasing difference between cross-price elasticities; (2) decreases commodity power for existing brands, as indicated by decreasing trend; and (3) decreases the effect of discount for existing brands, as indicated by a decrease in the magnitude of own-brand price elasticities. The proposed framework is directly applicable to other fields in which the observed dimension might be change, such as economic, bioinformatics, and so forth.

  15. State of the art on periphyton knowledge in Colombia

    Montoya Moreno, Yimmy; Aguirre R, Nestor

    2013-01-01

    Periphyton is a component of aquatic communities, composed by microbiota adhered to different substrates; plays a fundamental role in matter, energy and information transferences trough food webs and its study is important both from ecology, to understand ecosystems, as from environmental points of view, as periphyton is a good indicator of environmental processes and conditions, for instance water quality, in those ecosystems. Periphyton research is complex; even periphyton definition is still controversial. In addition to that, the variety of methodologies for comprehensive study, the diversity of peri phytic matrix architectures, the diversity of ecosystems and the absence of taxonomic schools in the country, are causing that few works are being published on the subject, which increases the value and importance of the work outlined in this review. The aim of this paper is to present the state of the art in research on periphyton in Colombia, analyzing different lines of research that has been developed and their progress. In order to do this, we examined 84 papers available to the authors. Most studies surveyed in this study (90%) correspond to the study of phycoperiphyton; the remaining 10% included both components of periphyton; one paper was dedicated exclusively to zooperiphyton. Only 10.5% of investigations (8 papers) have been dedicated to detailed taxonomic study; other publications study the structure and dynamics of the periphytic community.

  16. Knowledge Organisation Systems in North American Digital Library Collections

    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 ...

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

    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…

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

    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.

  20. Structural design systems using knowledge-based techniques

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

    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.

  2. State of knowledge and concerns on cyanobacterial blooms and cyanotoxins.

    Merel, Sylvain; Walker, David; Chicana, Ruth; Snyder, Shane; Baurès, Estelle; Thomas, Olivier

    2013-09-01

    Cyanobacteria are ubiquitous microorganisms considered as important contributors to the formation of Earth's atmosphere and nitrogen fixation. However, they are also frequently associated with toxic blooms. Indeed, the wide range of hepatotoxins, neurotoxins and dermatotoxins synthesized by these bacteria is a growing environmental and public health concern. This paper provides a state of the art on the occurrence and management of harmful cyanobacterial blooms in surface and drinking water, including economic impacts and research needs. Cyanobacterial blooms usually occur according to a combination of environmental factors e.g., nutrient concentration, water temperature, light intensity, salinity, water movement, stagnation and residence time, as well as several other variables. These environmental variables, in turn, have promoted the evolution and biosynthesis of strain-specific, gene-controlled metabolites (cyanotoxins) that are often harmful to aquatic and terrestrial life, including humans. Cyanotoxins are primarily produced intracellularly during the exponential growth phase. Release of toxins into water can occur during cell death or senescence but can also be due to evolutionary-derived or environmentally-mediated circumstances such as allelopathy or relatively sudden nutrient limitation. Consequently, when cyanobacterial blooms occur in drinking water resources, treatment has to remove both cyanobacteria (avoiding cell lysis and subsequent toxin release) and aqueous cyanotoxins previously released. Cells are usually removed with limited lysis by physical processes such as clarification or membrane filtration. However, aqueous toxins are usually removed by both physical retention, through adsorption on activated carbon or reverse osmosis, and chemical oxidation, through ozonation or chlorination. While the efficient oxidation of the more common cyanotoxins (microcystin, cylindrospermopsin, anatoxin and saxitoxin) has been extensively reported, the chemical

  3. State of knowledge on marine palynology in Indonesia

    Nugroho, S. H.

    2018-02-01

    Pollen analyses of marine sediments contribute to reconstructions of the vegetation and climate, as well as to environment changes and human-environment interactions, which is reflected in marine sediments of Indonesian waters. Furthermore, factors controlling pollen deposition are of particular importance, like in the Indonesian region where the whole climate system is driven mostly by the monsoon reversal. In this paper, I review some palynology studies in Indonesia, and I found out that there were not any marine pollen studies during the Last Glacial - Holocene in Indonesia area, especially in the Eastern Indonesia. Review results show that during that time, although temperatures were lower, there were differences on humid-arid climate indications in each region which were characterized by discrepancy vegetation. Detailed analysis of past environmental, climate and land use history in the Indonesian region is essential to obtain better understanding of human-environment relationships and to prevent uncertainties in future development of the region.

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

    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

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

    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.

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

    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.

  7. Geothermal projects funded under the NER 300 programme - current state of development and knowledge gained

    Shortall, Ruth; Uihlein, Andreas

    2017-04-01

    Introduction The NER 300 programme, managed by the European Commission is one of the largest funding programmes for innovative low-carbon energy demonstration projects. NER 300 is so called because it is funded from the sale of 300 million emission allowances from the new entrants' reserve (NER) set up for the third phase of the EU emissions trading system (ETS). The programme aims to successfully demonstrate environmentally safe carbon capture and storage (CCS) and innovative renewable energy (RES) technologies on a commercial scale with a view to scaling up production of low-carbon technologies in the EU. Consequently, it supports a wide range of CCS and RES technologies (bioenergy, concentrated solar power, photovoltaics, geothermal, wind, ocean, hydropower, and smart grids). Funded projects and the role of geothermal projects for the programme In total, about EUR 2.1 billion have been awarded through the programme's 2 calls for proposals (the first awarded in December 2012, the second in July 2014). The programme has awarded around EUR 70 million funding to 3 geothermal projects in Hungary, Croatia and France. The Croatian geothermal project will enter into operation during 2017 the Hungarian in 2018, and the French in 2020. Knowledge Sharing Knowledge sharing requirements are built into the legal basis of the programme as a critical tool to lower risks in bridging the transition to large-scale production of innovative renewable energy and CCS deployment. Projects have to submit annually to the European Commission relevant knowledge gained during that year in the implementation of their project. The relevant knowledge is aggregated and disseminated by the European Commission to industry, research, government, NGO and other interest groups and associations in order to provide a better understanding of the practical challenges that arise in the important step of scaling up technologies and operating them at commercial scale. The knowledge sharing of the NER 300

  8. Solid state radiation detector system

    1977-01-01

    A solid state radiation flux detector system utilizes a detector element, consisting of a bar of semiconductor having electrical conductance of magnitude dependent upon the magnitude of photon and charged particle flux impinging thereon, and negative feedback circuitry for adjusting the current flow through a light emitting diode to facilitate the addition of optical flux, having a magnitude decreasing in proportion to any increase in the magnitude of radiation (e.g. x-ray) flux incident upon the detector element, whereby the conductance of the detector element is maintained essentially constant. The light emitting diode also illuminates a photodiode to generate a detector output having a stable, highly linear response with time and incident radiation flux changes

  9. CDC STATE System Tobacco Legislation - Preemption Summary

    U.S. Department of Health & Human Services — 1995-2017. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Preemption. The STATE...

  10. CDC STATE System Tobacco Legislation - Preemption Summary

    U.S. Department of Health & Human Services — 1995-2018. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Preemption. The STATE...

  11. Loss energy states of nonstationary quantum systems

    Dodonov, V.V.; Man'ko, V.I.

    1978-01-01

    The concept of loss energy states is introduced. The loss energy states of the quantum harmonic damping oscillator are considered in detail. The method of constructing the loss energy states for general multidimensional quadratic nonstationary quantum systems is briefly discussed

  12. CDC STATE System Tobacco Legislation - Youth Access

    U.S. Department of Health & Human Services — 1995-2018. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Youth Access. The STATE...

  13. CDC STATE System Tobacco Legislation - Youth Access

    U.S. Department of Health & Human Services — 1995-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Youth Access. The STATE...

  14. CDC STATE System Tobacco Legislation - Preemption

    U.S. Department of Health & Human Services — 1995-2018. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation—Preemption. The STATE...

  15. A knowledge-based system for fluidization studies

    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.

  16. A System Theoretical Inspired Approach to Knowledge Construction

    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...

  17. Design of Knowledge Management System for Diabetic Complication Diseases

    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.

  18. Improving knowledge management systems with latent semantic analysis

    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)

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

    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.

  20. Current State of Knowledge About Cancer in Lesbians, Gay, Bisexual, and Transgender (LGBT) People.

    Margolies, Liz; Brown, Carlton G

    2018-02-01

    To review the current state of knowledge about cancer in lesbians, gay, bisexual, and transgender (LGBT) people by focusing on four major issues across the cancer continuum including: 1) lack of data collection on sexual orientation and gender identity; 2) need for a culturally competent workforce; 3) the need for a culturally competent health care system; and 4) creating LGBT tailored patient/client information and education. Published literature. Oncology nurses and health care providers can work to improve the care of LGBT patients with cancer by following suggestions in this article. Oncology nurses and other health care providers have many distinct occasions to improve overall cancer care for LGBT patients. Copyright © 2017 Elsevier Inc. All rights reserved.

  1. Business systems for knowledge management in the NGL industry

    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

  2. An Australian "Smart State" Serves Up Lessons for a Knowledge Economy

    Wheeler, David L.

    2012-01-01

    Fifteen years ago, the Australian state of Queensland was famous more for its beaches than for its brain power. Fellow Australians thought of Queenslanders as miners, farmers, or surfers, not as professors or scientists. When Queensland announced in 1998 that it was planning to become a "Smart State," or a knowledge economy, locals…

  3. Deploying a knowledge management system for well construction

    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)

  4. Knowledges

    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...

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

    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.

  6. State Online Query System (SOLQ)

    Social Security Administration — Designed specifically for State Human Service agencies, SOLQ allows States real-time online access to SSA's SSN verification service and, if permitted, retrieval of...

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

    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.

  8. 6th International Conference on Knowledge and Systems Engineering

    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.

  9. Medicinal knowledge and plant utilization in an Amazonian coastal community of Marudá, Pará State (Brazil).

    Coelho-Ferreira, Márlia

    2009-10-29

    It shows the local medicinal uses of biodiversity in Brazil's Amazonian littoral, promoting the value of folk knowledge, and its applicability in future studies. To demonstrate the importance of the knowledge of medicinal plants in the Amazonian coastal community of Marudá, located in Pará State, Brazil. Fieldwork was conducted between 1996 and 1998, using the methods of participant observation, semi-structured interviews and informal discussions to elicit information from community residents and plant specialists, in addition to collecting plant material. Community residents possess knowledge of 229 medicinal plants distributed in 81 botanical families and know how to manipulate them in a variety of ways, with special care taken to ensure that they are used in the safest and most efficient manner. Therapeutic indications for these plants include illness and disease recognized in the repertoire of Western medicine as well as ailments perceived from a local cultural perspective. Results from this study attest to informants' knowledge of medicinal flora and their ability and openness to integrate new species from diverse origins into their gamut of medicinal knowledge, including industrial therapeutic preparations and animal products. Local uses of biodiversity in Brazil's Amazonian littoral are also evinced, promoting the value of folk medicinal knowledge. Similarly, it mentions the potential of implementing local knowledge in Brazil's Unitary Health System.

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

    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

  11. Plant operation state monitoring system

    Sakai, Masanori; Babuchi, Katsumi; Arato, Toshiaki

    1994-01-01

    The system of the present invention accurately monitors a plant operation state of a plant, such as a nuclear power plant and a thermal power plant by using high temperature water, based on water quality informations. That is, water quality informations for the objective portion by using an electrochemical water quality sensor disposed in the objective portion to be monitored in the plant are continuously extracted for a predetermined period of time. Water quality is evaluated based on the extracted information. Obtained results for water quality evaluation and predetermined reference values of the plant operation handling are compared. Necessary part among the results of the measurement is displayed or recorded. The predetermined period of time described above is a period that the water quality information reaches at least a predetermined value or a period that the predetermined value is estimated by the water quality information, and it is defined as a period capable of measuring the information for three months continuously. The measurement is preferably conducted continuously in a period up to each periodical inspection on about every one year. (I.S.)

  12. Compiling knowledge-based systems from KEE to Ada

    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.

  13. Dynamic reasoning in a knowledge-based system

    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.

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

    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

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

    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.

  16. On knowledge representation for high energy physics control systems

    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

  17. A knowledge based on-line diagnostic system for the fast breeder reactor KNKII

    Eggert, H.; Scherer, K.P.; Stiller, P.

    1989-01-01

    In the nuclear research center at Karlsruhe, a diagnostic expert system is developed to supervise a fast breeder process (KNKII). The problem is to detect critical phases in the beginning state before fault propagation. The expert system itself is integrated in a computer network (realized by a local area network), where different computers are involved as special detection systems (for example acoustic noise, temperature noise, covergas monitoring and so on), which produce partial diagnoses, based on intelligent signal processing techniques like pattern recognition. Additional to the detection systems a process computer is integrated as well as a test computer, which simulates hypothetical and real fault data. On the logical top level the expert system manages the partial diagnoses of the detection systems with the operating data of the process computer and to produce a final diagnosis including the explanation part for operator support. The knowledge base is developed by typical Artificial Intelligence tools. Both fact based and rule based knowledge representations are stored in form of flavors and predications. The inference engine operates on a rule based approach. Specific detail knowledge, based on experience about any years, is available to influence the decision process by increasing or decreasing of the generated hypotheses. In a meta knowledge base, a rule master triggers the special domain experts and contributes the tasks to the specific rule complexes. Such a system management guarantees a problem solving strategy, which operates event triggered and situation specific in a local inference domain. (author). 3 refs, 6 figs, 2 tabs

  18. Knowledge-based dialogue in Intelligent Decision Support Systems

    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

  19. MOVES: A knowledge-based system for maintenance planning for motor-operated valves

    Winter, M.

    1987-01-01

    Over the past several years, knowledge-based expert systems have emerged as an important part of the general research area known as artificial intelligence. This paper describes a cooperative effort between faculty members at Iowa State University and engineers at the Duane Arnold Energy Center [a 545-MW(electric) boiling water reactor operated by Iowa Electric Light and Power Company] to explore the development of an advisory system for valve maintenance planning. This knowledge-based program, known as Motor-Operated Valves Expert System (MOVES), has a data base that currently includes safety-related motor-operated valves (∼117 valves). Valve maintenance was selected as the subject for the expert system because of the importance of valves in nuclear plant and their impact of plant availability. MOVES is being developed using the microcomputer-(IBM compatible) based expert system tool INSIGHT2+. The authors have found that the project benefits both the university and the utility

  20. Knowledge-based system for automatic MBR control.

    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

  1. Disturbance and climate change in United States/Mexico borderland plant communities: a state-of-the-knowledge review

    Guy R. McPherson; Jake F. Weltzin

    2000-01-01

    This review evaluates the effects and importance of disturbance and climate change on plant community dynamics in the United States/Mexico borderlands region. Our primary focus is on knowledge of physiognomic-level change in grasslands and woodlands of southeastern Arizona and southwestern New Mexico. Changes in vegetation physiognomy have broad implications for...

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

    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

  3. Real-time application of knowledge-based systems

    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.

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

    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.

  5. Intelligent Flowcharting Developmental Approach to Legal Knowledge Based System

    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.

  6. Analisis Knowledge Management System Pada STMIK Mitra Lampung

    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...

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

    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...

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

    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.

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

    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.

  10. Using Geographic Information Systems in Knowledge Management Processes

    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.

  11. KNOWLEDGE FOR INTELLIGENCE: DISCUSSING THE STATE AND THE ROLE OF BUILDING DATA IN ITALY

    A. Pasquinelli

    2016-09-01

    Full Text Available The availability of integrated information on buildings is the premise for an effective assets management and the provision of innovative services to buildings users: such form of knowledge relies on the efficient exploitation of existing data, providing a complete overview on the state of buildings, and on the acquisition of real-time data flows, coming from sensor and mobile devices, reporting users behaviours. If, on the one hand, technology is progressively enabling the management of new huge streams of data, on the other hand the interconnection among traditional and well rooted datasets, the majority of which in charge of public administrations, is not always guaranteed. While, at European level, interoperability issues among public archives concerning buildings were properly addressed, and the relevance of geo-information is widely recognized, in Italy this process is still taking time to be undertaken. This paper discuss the current state of Building Information in Italy, outlining a possible path for the creation of a georeferenced Building Information System at municipal level, starting from the informative heritage available in existing databases, generated with different purposes and maintained by independent authorities: the idea is to solicit that digitalization process, started a decade ago with the “Digital Administration Code”, through the proposition of real use cases that might be implemented once that public data on buildings are profitably combined together.

  12. A Knowledge Based Recommender System with Multigranular Linguistic Information

    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.

  13. Communications and relationships between patient and nurse in Intensive Care Unit: knowledge, knowledge of the work, knowledge of the emotional state.

    Foà, Chiara; Cavalli, Lisa; Maltoni, Alessia; Tosello, Nicoletta; Sangilles, Chiara; Maron, Ilaria; Borghini, Marina; Artioli, Giovanna

    2016-11-22

    In an Intensive Care Unit (ICU) the communication between nurse and patient, the core of the care, is often hindered by patient's cognitive alterations and critical situation, by devices employed for the mechanical ventilation, and by the clinical and care-giving setting. How to overcome these barriers? How is the relational and communicative approach between nurse and patient unable to express him or herself to be managed? The available literature reveals that studies on communication with difficult patients, such as those treated in ICU are currently scarce. The present research offers a contribution in this respect, through fact-finding about the knowledge acquired by professional studies or work experiences, the personal and institutional techniques implemented in regards to communication (knowledge of the work), the relational behaviours and the emotional experience with patients (knowledge of the emotional state) of nurses working in the Intensive Care Units. A semi-structured interview have been designed and submitted to 30 nurses working in fourteen Highly Specialized Centres (HUB) in Emilia Romagna, Italy. Two nurses with different years of experience in the field have been chosen for each Operating Unit. According to the interviewees paraverbal communication is the most common way to communicate with patients: different strategies are employed such as facial expression or lip movement. In any case, the nurse has the task to choose the most suitable technique according to his or her experiences, his or her knowledge and the patient him or herself. The results claim that lack of specific training on communicative aspects of care, should be combined with an attitude of being prone to listening to and understanding the needs of the patient and of his or her family as well. The interviewees declare they have a solid preparation in the bio-clinical aspect of care, but both new hired nurses and experts affirm that they need a specific training in relational and

  14. Local Knowledge and Conservation of Seagrasses in the Tamil Nadu State of India

    Newmaster AF

    2011-11-01

    Full Text Available Abstract Local knowledge systems are not considered in the conservation of fragile seagrass marine ecosystems. In fact, little is known about the utility of seagrasses in local coastal communities. This is intriguing given that some local communities rely on seagrasses to sustain their livelihoods and have relocated their villages to areas with a rich diversity and abundance of seagrasses. The purpose of this study is to assist in conservation efforts regarding seagrasses through identifying Traditional Ecological Knowledge (TEK from local knowledge systems of seagrasses from 40 coastal communities along the eastern coast of India. We explore the assemblage of scientific and local traditional knowledge concerning the 1. classification of seagrasses (comparing scientific and traditional classification systems, 2. utility of seagrasses, 3. Traditional Ecological Knowledge (TEK of seagrasses, and 4. current conservation efforts for seagrass ecosystems. Our results indicate that local knowledge systems consist of a complex classification of seagrass diversity that considers the role of seagrasses in the marine ecosystem. This fine-scaled ethno-classification gives rise to five times the number of taxa (10 species = 50 local ethnotaxa, each with a unique role in the ecosystem and utility within coastal communities, including the use of seagrasses for medicine (e.g., treatment of heart conditions, seasickness, etc., food (nutritious seeds, fertilizer (nutrient rich biomass and livestock feed (goats and sheep. Local communities are concerned about the loss of seagrass diversity and have considerable local knowledge that is valuable for conservation and restoration plans. This study serves as a case study example of the depth and breadth of local knowledge systems for a particular ecosystem that is in peril. Key words: local health and nutrition, traditional ecological knowledge (TEK, conservation and natural resources management, consensus

  15. Ground states of quantum spin systems

    Bratteli, Ola; Kishimoto, Akitaka; Robinson, D.W.

    1978-07-01

    The authors prove that ground states of quantum spin systems are characterized by a principle of minimum local energy and that translationally invariant ground states are characterized by the principle of minimum energy per unit volume

  16. CDC STATE System Tobacco Legislation - Smokefree Campus

    U.S. Department of Health & Human Services — 1995-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Legislation – Smokefree Campuses. The...

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

    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)

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

    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.

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

    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  

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

    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

    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. Distributed Knowledge Base Systems for Diagnosis and Information Retrieval.

    1983-11-01

    social system metaphors State University. for distributed problem solving: Introduction to the issue. IEEE Newell. A. and Simon, H. A. (1972) Human...experts and Sriram Mahalingam wha-helped think out the probLema associated with building Auto-Mech. Research on diagnostic expert systemas for the

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

    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)

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

    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.

  5. Knowledge-based operation and management of communications systems

    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.

  6. Knowledge of self-care among type 2 diabetes patients in two states of Nigeria

    Jackson IL

    2014-09-01

    Full Text Available Objective: To assess the knowledge of self-care practices, as well as factors responsible for such knowledge among type 2 diabetes patients in two states of Nigeria. Methods: Descriptive, cross sectional survey research design was employed. The study was conducted on type 2 diabetes out-patients attending Endocrinology Clinic at the University of Uyo Teaching Hospital (UUTH and University of Calabar Teaching Hospital (UCTH between June 2012 and February 2013. The Diabetes Self-care Knowledge (DSCK-30 was used in evaluating knowledge of self-care practices. Socio-demographic information and respondents’ opinion on the possible barrier(s to knowledge of self-care were also obtained. Data were analysed using Microsoft Excel and SPSS version 14.0. Statistical significance for all analyses was defined as a p value less than 0.05. Results: A total of 303 out of 380 questionnaires distributed were completed and returned (response rate =79.7%. The majority of the study sample (79.5% had 70% or more overall knowledge level about self-care. Self-care knowledge was associated with level of education (p<0.001, monthly income (p<0.001 and duration of diabetes (p=0.008. Negative attitude to disease condition was the only factor associated with knowledge (chi-square value at one degree of freedom =6.215; p=0.013. Conclusion: Diabetes self-care knowledge was generally high among the population studied. Educational status, monthly income, duration of diabetes and negative attitude to disease condition predicted knowledge level.

  7. Knowledge discovery in traditional Chinese medicine: state of the art and perspectives.

    Feng, Yi; Wu, Zhaohui; Zhou, Xuezhong; Zhou, Zhongmei; Fan, Weiyu

    2006-11-01

    As a complementary medical system to Western medicine, traditional Chinese medicine (TCM) provides a unique theoretical and practical approach to the treatment of diseases over thousands of years. Confronted with the increasing popularity of TCM and the huge volume of TCM data, historically accumulated and recently obtained, there is an urgent need to explore these resources effectively by the techniques of knowledge discovery in database (KDD). This paper aims at providing an overview of recent KDD studies in TCM field. A literature search was conducted in both English and Chinese publications, and major studies of knowledge discovery in TCM (KDTCM) reported in these materials were identified. Based on an introduction to the state of the art of TCM data resources, a review of four subfields of KDTCM research was presented, including KDD for the research of Chinese medical formula, KDD for the research of Chinese herbal medicine, KDD for TCM syndrome research, and KDD for TCM clinical diagnosis. Furthermore, the current state and main problems in each subfield were summarized based on a discussion of existing studies, and future directions for each subfield were also proposed accordingly. A series of KDD methods are used in existing KDTCM researches, ranging from conventional frequent itemset mining to state of the art latent structure model. Considerable interesting discoveries are obtained by these methods, such as novel TCM paired drugs discovered by frequent itemset analysis, functional community of related genes discovered under syndrome perspective by text mining, the high proportion of toxic plants in the botanical family Ranunculaceae disclosed by statistical analysis, the association between M-cholinoceptor blocking drug and Solanaceae revealed by association rule mining, etc. It is particularly inspiring to see some studies connecting TCM with biomedicine, which provide a novel top-down view for functional genomics research. However, further developments

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

    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. Social Justice in Outdoor Experiential Education: A State of Knowledge Review

    Warren, Karen; Roberts, Nina S.; Breunig, Mary; Alvarez, M. Antonio G.

    2014-01-01

    Outdoor experiential education has often been critiqued for its White, male, middle/upper-class, able-bodied history, thereby causing professionals and programs to consider issues of social justice. This state of knowledge paper will review the literature on social and environmental justice, identify gaps in current social justice literature and…

  10. Knowledge Gaps Impacting the Development of Bovine Viral Diarrhea Virus Control Programs in the United States

    This paper identifies knowledge gaps that impact on the design of programs to control and or eradicate bovine viral diarrhea viruses (BVDV) in the United States. Currently there are several voluntary regional BVDV control programs in place. These control programs are aimed at the removal of animals ...

  11. Preschool-Aged Children's Understanding of Gratitude: Relations with Emotion and Mental State Knowledge

    Nelson, Jackie A.; de Lucca Freitas, Lia Beatriz; O'Brien, Marion; Calkins, Susan D.; Leerkes, Esther M.; Marcovitch, Stuart

    2013-01-01

    Developmental precursors to children's early understanding of gratitude were examined. A diverse group of 263 children was tested for emotion and mental state knowledge at ages 3 and 4, and their understanding of gratitude was measured at age 5. Children varied widely in their understanding of gratitude, but most understood some aspects of…

  12. Knowledge Activation versus Sentence Mapping When Representing Fictional Characters' Emotional States.

    Gernsbacher, Morton Ann; Robertson, Rachel R. W.

    1992-01-01

    In a study of knowledge activation and sentence mapping, subjects read stories that described concrete actions, and then the content of the stories was manipulated (i.e. stories were written that implied different emotional states). It is suggested that the more emotionally evoking situations one encounters the more memory traces are stored and…

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

    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

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

    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.

  15. Engagement with indigenous peoples and honoring traditional knowledge systems

    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.

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

    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. Knowledge acquisition and interface design for learning on demand systems

    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

  18. Experience of Use of Knowledge Relative Assessment System for Training in Area of Civil Engineering

    Romanova Elena

    2017-01-01

    Full Text Available Nowadays E-Learning is becoming more and more relevant in training civil engineers. Electronic resources are used for classroom activities and for independent work. It allows allocating extra time for development of practical skills. Experience of remote knowledge control application in the educational process of Moscow State University of Civil Engineering is presented in the article. The control system is called Knowledge Relative Assessment System using Bekker's method. The following steps of system using are described in detail in the article: loading test material, action of users, protection from wrong acts and calculation of rating. The main merits and demerits from the point of view of teachers and students are listed.

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

    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...

  20. Knowledge-based systems and interactive graphics for reactor control using the Automated Reasoning Tool(ART) system

    Ragheb, M.; Clayton, B.; Davies, P.

    1987-01-01

    The use of Knowledge-Based systems and advanced graphic concepts are described using the Automated Reasoning Tool (ART) for a model nuclear plant system. Through the sue of asynchronous graphic input/output, the user is allowed to communicate through a graphical display to a Production-Rule Analysis System modelling the plant while its rules are actively being fired. The user changes the status of system components by pointing at them on the system configuration display with a mouse cursor and clicking one of the buttons on the mouse. The Production-Rule Analysis System accepts the new input and immediately displays its diagnosis of the system state and any associated recommendations as to the appropriate course of action. This approach offers a distinct advantage over typing the components statuses in response to queries by a conventional Production-Rule Analysis system. Moreover, two effective ways of communication between man and machine are combined

  1. OpenBiodiv-O: ontology of the OpenBiodiv knowledge management system.

    Senderov, Viktor; Simov, Kiril; Franz, Nico; Stoev, Pavel; Catapano, Terry; Agosti, Donat; Sautter, Guido; Morris, Robert A; Penev, Lyubomir

    2018-01-18

    The biodiversity domain, and in particular biological taxonomy, is moving in the direction of semantization of its research outputs. The present work introduces OpenBiodiv-O, the ontology that serves as the basis of the OpenBiodiv Knowledge Management System. Our intent is to provide an ontology that fills the gaps between ontologies for biodiversity resources, such as DarwinCore-based ontologies, and semantic publishing ontologies, such as the SPAR Ontologies. We bridge this gap by providing an ontology focusing on biological taxonomy. OpenBiodiv-O introduces classes, properties, and axioms in the domains of scholarly biodiversity publishing and biological taxonomy and aligns them with several important domain ontologies (FaBiO, DoCO, DwC, Darwin-SW, NOMEN, ENVO). By doing so, it bridges the ontological gap across scholarly biodiversity publishing and biological taxonomy and allows for the creation of a Linked Open Dataset (LOD) of biodiversity information (a biodiversity knowledge graph) and enables the creation of the OpenBiodiv Knowledge Management System. A key feature of the ontology is that it is an ontology of the scientific process of biological taxonomy and not of any particular state of knowledge. This feature allows it to express a multiplicity of scientific opinions. The resulting OpenBiodiv knowledge system may gain a high level of trust in the scientific community as it does not force a scientific opinion on its users (e.g. practicing taxonomists, library researchers, etc.), but rather provides the tools for experts to encode different views as science progresses. OpenBiodiv-O provides a conceptual model of the structure of a biodiversity publication and the development of related taxonomic concepts. It also serves as the basis for the OpenBiodiv Knowledge Management System.

  2. The State Public Health Laboratory System.

    Inhorn, Stanley L; Astles, J Rex; Gradus, Stephen; Malmberg, Veronica; Snippes, Paula M; Wilcke, Burton W; White, Vanessa A

    2010-01-01

    This article describes the development since 2000 of the State Public Health Laboratory System in the United States. These state systems collectively are related to several other recent public health laboratory (PHL) initiatives. The first is the Core Functions and Capabilities of State Public Health Laboratories, a white paper that defined the basic responsibilities of the state PHL. Another is the Centers for Disease Control and Prevention National Laboratory System (NLS) initiative, the goal of which is to promote public-private collaboration to assure quality laboratory services and public health surveillance. To enhance the realization of the NLS, the Association of Public Health Laboratories (APHL) launched in 2004 a State Public Health Laboratory System Improvement Program. In the same year, APHL developed a Comprehensive Laboratory Services Survey, a tool to measure improvement through the decade to assure that essential PHL services are provided.

  3. State system experience with safeguarding power reactors

    Roehnsch, W.

    1982-01-01

    This session describes the development and operation of the State System of Accountancy and Control in the German Democratic Republic, and summarizes operating experience with safeguards at power reactor facilities. Overall organization and responsibilities, containment and surveillance measures, materials accounting, and inspection procedures will be outlined. Cooperation between the IAEA, State system, facility, and supplier authorities will also be addressed

  4. Information in the system of state administration

    Kalytych, G.; Litosh, G.

    2009-01-01

    The article analyses the approaches to the notions of "information", "state administration system", "administrative information". The article considers the importance of of information for the whole state administration system and reveals the criteria which provide the information with administrative status. Special attention is paid to making of administrative decisions on the level of the sate which are based on effective information management.

  5. Suicide-Related Knowledge and Confidence Among Behavioral Health Care Staff in Seven States.

    Silva, Caroline; Smith, April R; Dodd, Dorian R; Covington, David W; Joiner, Thomas E

    2016-11-01

    Death by suicide is a serious and growing public health concern in the United States. This noncontrolled, naturalistic study examined professionals' knowledge about suicide and confidence in working with suicidal individuals, comparing those who had received either of two gatekeeper trainings-Question, Persuade, and Refer (QPR) or Applied Suicide Intervention Skills Training (ASIST)-or other suicide-relevant training or no training. Participants (N=16,693) were individuals in various professional roles in the field of behavioral health care in Indiana, Kentucky, New York, Pennsylvania, Tennessee, Texas, and Utah. Participants completed a survey assessing suicide knowledge and skills confidence. Most participants (52.9%) reported no previous suicide prevention or assessment training. Individuals with suicide-relevant training demonstrated greater suicide knowledge and confidence than those with no such training. Among those who had received any training, no differences were found in suicide knowledge; however, individuals who had received ASIST reported greater confidence in working with suicidal individuals, compared with those who had received other training. Professional role and prior experience with a client who had died by suicide had significant positive relationships with suicide knowledge and confidence. Regional differences emerged between states and are examined within the context of statewide suicide prevention initiatives. Increasing access to and incentives for participating in suicide-relevant training among behavioral health care staff may foster a more knowledgeable and confident group of gatekeepers. Future research should examine whether increases in knowledge and confidence among staff translate into actual changes in practice that help protect and serve at-risk individuals.

  6. [Oligometastasis in pancreatic cancer : Current state of knowledge and spectrum of local therapy].

    Gebauer, F; Damanakis, A I; Bruns, C

    2018-03-20

    Several case series reported results of surgical resection in patients with pancreatic ductal adenocarcinoma in a metastasized stage. A summarized overview of the current state of knowledge and a summary of the results of currently available studies. A systematic search was carried out in MEDLINE and PubMed with respect to metastasized pancreatic cancer and surgical resection. The evidence level for surgical resection in the metastasized stage is weak and so far no prospective trials are available. The largest single-arm trial included 85 patients with hepatic metastasis. In cases of hepatic oligometastasis an overall survival of 11-14 months was observed. In the presence of pulmonary metastasis, overall survival seems to be prolonged compared to intra-abdominal metastasis, although the evidence level is relatively weak. According to the available results, a general recommendation for surgical resection in a metastasized stage cannot be given; however, the results show a possible benefit for some well-selected patient subgroups. Prospective trials must validate these data and investigate the use of combined surgical and systemic treatments in the case of resectable metastatic pancreatic cancer.

  7. Arab-Norman Heritage: State of Knowledge and New Actions and Innovative Proposal

    Prescia, R.; Scianna, A.

    2017-05-01

    This paper wants to offers a perlustrative recognition on the 'state of the studies', concerning to the Arab-Norman architecture of Palermo, admissed by Unesco in 2015 and explain a research in progress which, starting from re-cognition of the peculiarities of the restoration work carried out on it, consisting of the identification of authentic material-constructive values and / or reconstruction, it orients itself to develop a concrete proposal of filing for a more conscious knowledge. She, moreover, wants contribute to real enhancement through the use of targeted communication strategies that use innovative means capable, on one hand, to attracting the greatest possible number of users, on the other hand, to plan further interventions of conservation coherent with the previous data. The product that you want to achieve is that of a Bank-data that allows the "networking" of monumental emergencies, that become the virtual itineraries waypoint, which can be implemented periodically and whose boards meet the cataloging needs and documentation but with reference at geo-referred systems, compatible with the conservation and management of heritage and with need of usability, real and virtual.

  8. Algorithm of the managing systems state estimation

    Skubilin M. D.

    2010-02-01

    Full Text Available The possibility of an electronic estimation of automatic and automated managing systems state is analyzed. An estimation of a current state (functional readiness of technical equipment and person-operator as integrated system allows to take operatively adequate measures on an exception and-or minimisation of consequences of system’s transition in a supernumerary state. The offered method is universal enough and can be recommended for normalisation of situations on transport, mainly in aircraft.

  9. Algorithms and tools for system identification using prior knowledge

    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

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

    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…

  11. Quantum Computing in Solid State Systems

    Ruggiero, B; Granata, C

    2006-01-01

    The aim of Quantum Computation in Solid State Systems is to report on recent theoretical and experimental results on the macroscopic quantum coherence of mesoscopic systems, as well as on solid state realization of qubits and quantum gates. Particular attention has been given to coherence effects in Josephson devices. Other solid state systems, including quantum dots, optical, ion, and spin devices which exhibit macroscopic quantum coherence are also discussed. Quantum Computation in Solid State Systems discusses experimental implementation of quantum computing and information processing devices, and in particular observations of quantum behavior in several solid state systems. On the theoretical side, the complementary expertise of the contributors provides models of the various structures in connection with the problem of minimizing decoherence.

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

    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

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

    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.

  14. Collaborative Systems – Finite State Machines

    Ion IVAN

    2011-01-01

    Full Text Available In this paper the finite state machines are defined and formalized. There are presented the collaborative banking systems and their correspondence is done with finite state machines. It highlights the role of finite state machines in the complexity analysis and performs operations on very large virtual databases as finite state machines. It builds the state diagram and presents the commands and documents transition between the collaborative systems states. The paper analyzes the data sets from Collaborative Multicash Servicedesk application and performs a combined analysis in order to determine certain statistics. Indicators are obtained, such as the number of requests by category and the load degree of an agent in the collaborative system.

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

    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

  16. Socially Grounded Analysis of Knowledge Management Systems and Processes

    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

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

    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.

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

    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.

  19. Role of the motor system in language knowledge.

    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.

  20. Role of the motor system in language knowledge

    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

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

    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)

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

    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...

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

    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.

  4. Solid State Lighting Reliability Components to Systems

    Fan, XJ

    2013-01-01

    Solid State Lighting Reliability: Components to Systems begins with an explanation of the major benefits of solid state lighting (SSL) when compared to conventional lighting systems including but not limited to long useful lifetimes of 50,000 (or more) hours and high efficacy. When designing effective devices that take advantage of SSL capabilities the reliability of internal components (optics, drive electronics, controls, thermal design) take on critical importance. As such a detailed discussion of reliability from performance at the device level to sub components is included as well as the integrated systems of SSL modules, lamps and luminaires including various failure modes, reliability testing and reliability performance. This book also: Covers the essential reliability theories and practices for current and future development of Solid State Lighting components and systems Provides a systematic overview for not only the state-of-the-art, but also future roadmap and perspectives of Solid State Lighting r...

  5. Past Quantum States of a Monitored System

    Gammelmark, Søren; Julsgaard, Brian; Mølmer, Klaus

    2013-01-01

    A density matrix ρ(t) yields probabilistic information about the outcome of measurements on a quantum system. We introduce here the past quantum state, which, at time T, accounts for the state of a quantum system at earlier times t...(t) and E(t), conditioned on the dynamics and the probing of the system until t and in the time interval [t, T], respectively. The past quantum state is characterized by its ability to make better predictions for the unknown outcome of any measurement at t than the conventional quantum state at that time....... On the one hand, our formalism shows how smoothing procedures for estimation of past classical signals by a quantum probe [M. Tsang, Phys. Rev. Lett. 102 250403 (2009)] apply also to describe the past state of the quantum system itself. On the other hand, it generalizes theories of pre- and postselected...

  6. THEXSYST - a knowledge based system for the control and analysis of technical simulation calculations

    Burger, B.

    1991-07-01

    This system (THEXSYST) will be used for control, analysis and presentation of thermal hydraulic simulation calculations of light water reactors. THEXSYST is a modular system consisting of an expert shell with user interface, a data base, and a simulation program and uses techniques available in RSYST. A knowledge base, which was created to control the simulational calculation of pressurized water reactors, includes both the steady state calculation and the transient calculation in the domain of the depressurization, as a result of a small break loss of coolant accident. The methods developed are tested using a simulational calculation with RELAP5/Mod2. It will be seen that the application of knowledge base techniques may be a helpful tool to support existing solutions especially in graphical analysis. (orig./HP) [de

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

    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

  8. Knowledge based systems for nuclear applications in Germany

    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

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

    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…

  10. Framework and methodology for knowledge management system implementation

    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...

  11. Isolation contactor state control system

    Bissontz, Jay E.

    2017-05-16

    A controller area network (CAN) installed on a hybrid electric vehicle provides one node with control of high voltage power distribution system isolation contactors and the capacity to energize a secondary electro-mechanical relay device. The output of the secondary relay provides a redundant and persistent backup signal to the output of the node. The secondary relay is relatively immune to CAN message traffic interruptions and, as a result, the high voltage isolation contactor(s) are less likely to transition open in the event that the intelligent output driver should fail.

  12. The state of the art of the tacit knowledge transfer and preservation in INR

    Balaceanu, V.; Constantin, M.; Apostol, M.

    2008-01-01

    This paper intends to highlight the stringency that the nuclear knowledge, mainly the tacit one, must be transferred and preserved and, also, the appropriate methods and tools to perform it should be identified, selected and developed. The paper shows a detailed analysis of the state of the nuclear knowledge in INR. The starting point in this work were two investigations: a questionnaire-based investigation regarding the motivations of the INR retiring experts for knowledge transfer and preservation and an IAEA general questionnaire applied in INR. The necessity of a such analysis is motivated by the fact that in the next 5-10 years many experienced researchers should be retired and the INR staff must very quickly find the best methods and tools for an optimal transfer and preservation of the knowledge, mainly the tacit one because this is embedded in experts' minds. One of the most important conclusion of this analysis is that a short-medium term strategy must be developed, regarding the knowledge management. (authors)

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

    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...

  14. Towards a proof of two conjectures from quantum inference concerning quantum limits of knowledge of states

    Jones, K.R.W.

    1990-11-01

    A new entropic analogue is given of the recently reported information on theoretic limits to knowledge of states. A natural relationship between the quantum correlation information and the quantum mechanical entropy is thereby revealed. Some progress is made towards a rigorous proof of both results and a complete solution to the problem of asymptotic optimal measurement. In particular the elementary convex analysis was employed to prove that the optimal operator valued measure must be a rank-one projection valued measure. 11 refs

  15. Interoperability of knowledge organization systems: the state of the art

    Martínez Tamayo, Ana M.; Valdez, Julia C.; Stubbs, Edgardo A.; González Terán, Yanina; Kessler, María Inés

    2011-01-01

    La interoperabilidad entre distintos sistemas de organización del conocimiento (SOC) ha cobrado gran importancia en los últimos tiempos, con el propósito de facilitar la búsqueda simultánea en varias bases de datos o bien fusionar distintas bases de datos en una sola. Las nuevas normas para el diseño y desarrollo de SOC, la estadounidense Z39.19:2005 y la británica BS 8723-4:2007, incluyen recomendaciones detalladas para la interoperabilidad. También se encuentra en preparación una nueva norm...

  16. Thermal states of anyonic systems

    Iblisdir, S., E-mail: iblisdir@ecm.ub.e [Dpt. Estructura i Constituents de la Materia, Universitat Barcelona, 08028 Barcelona (Spain); Perez-Garcia, D. [Dpt. Analisis Matematico, Universitad Complutense de Madrid, 28040 Madrid (Spain); Aguado, M. [Max Planck Institut fuer Quantenoptik, Garching D-85748 (Germany); Pachos, J. [School of Physics and Astronomy, University of Leeds, Leeds LS2 9JT (United Kingdom)

    2010-04-21

    A study of the thermal properties of two-dimensional topological lattice models is presented. This work is relevant to assess the usefulness of these systems as a quantum memory. For our purposes, we use the topological mutual information I{sub topo} as a 'topological order parameter'. For Abelian models, we show how I{sub topo} depends on the thermal topological charge probability distribution. More generally, we present a conjecture that I{sub topo} can (asymptotically) be written as a Kullback-Leitner distance between this probability distribution and that induced by the quantum dimensions of the model at hand. We also explain why I{sub topo} is more suitable for our purposes than the more familiar entanglement entropy S{sub topo}. A scaling law, encoding the interplay of volume and temperature effects, as well as different limit procedures, are derived in detail. A non-Abelian model is next analyzed and similar results are found. Finally, we also consider, in the case of a one-plaquette toric code, an environment model giving rise to a simulation of thermal effects in time.

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

    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.

    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.

    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

    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. Addressing ageing of the workforce issues by enabling knowledge management systems with social networks analysis capabilities

    Perisic, I.

    2004-01-01

    allowed by relevant government human resources guidelines). Social network analysis can initially be performed on the broad collection of valuable databases within the IAEA, such as the rich INIS database and the IAEA Web Resources. The subsequent social networks provide a view of the occurring knowledge transfer within the IAEA community through collaboration networks and affiliation networks. The techniques have already been shown to provide an effective overlook of the current state of affairs. We extend the approach described elsewhere to 1) render it more precise within a topic area, 2) allow it to consider disparate sources of information and 3) integrate it within a knowledge management system and/or a portal. For example, integrating this information within the 'Find-an-Expert Facility' embedded within the INIS database, would not only provide the names of the experts but also the communities of experts. In this regard the ACM Portal, through its Digital Library, has already taken the first step. (author)

  2. 2012 United States Automatic Identification System Database

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2012 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  3. 2014 United States Automatic Identification System Database

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2014 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  4. 2009 United States Automatic Identification System Database

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2009 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  5. Kansas Non-State Road System

    Kansas Data Access and Support Center — This dataset is a single centerline road network representation of 120,000 miles of the Kansas non-state highway system with limited attribution. It includes rural...

  6. 2010 United States Automatic Identification System Database

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2010 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  7. 2011 United States Automatic Identification System Database

    National Oceanic and Atmospheric Administration, Department of Commerce — The 2011 United States Automatic Identification System Database contains vessel traffic data for planning purposes within the U.S. coastal waters. The database is...

  8. State dynamics of a double sandbar system

    Price, T.D.; Ruessink, B.G.

    2011-01-01

    A 9.3-year dataset of low-tide time-exposure images from Surfers Paradise, Northern Gold Coast, Australia was used to characterise the state dynamics of a double sandbar system. The morphology of the nearshore sandbars was described by means of the sequential bar state classification scheme of

  9. Systems Intelligence in Knowledge Management Implementation: A Momentum of the SECI Model

    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. Engineering quantum hyperentangled states in atomic systems

    Nawaz, Mehwish; -Islam, Rameez-ul; Abbas, Tasawar; Ikram, Manzoor

    2017-11-01

    Hyperentangled states have boosted many quantum informatics tasks tremendously due to their high information content per quantum entity. Until now, however, the engineering and manipulation of such states were limited to photonic systems only. In present article, we propose generating atomic hyperentanglement involving atomic internal states as well as atomic external momenta states. Hypersuperposition, hyperentangled cluster, Bell and Greenberger-Horne-Zeilinger states are engineered deterministically through resonant and off-resonant Bragg diffraction of neutral two-level atoms. Based on the characteristic parameters of the atomic Bragg diffraction, such as comparatively large interaction times and spatially well-separated outputs, such decoherence resistant states are expected to exhibit good overall fidelities and offer the evident benefits of full controllability, along with extremely high detection efficiency, over the counterpart photonic states comprised entirely of flying qubits.

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

    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.

  12. Magnetic properties of singlet ground state systems

    Diederix, K.M.

    1979-01-01

    Experiments are described determining the properties of a magnetic system consisting of a singlet ground state. Cu(NO 3 ) 2 .2 1/2H 2 O has been studied which is a system of S = 1/2 alternating antiferromagnetic Heisenberg chains. The static properties, spin lattice relaxation time and field-induced antiferromagnetically ordered state measurements are presented. Susceptibility and magnetic cooling measurements of other compounds are summarised. (Auth.)

  13. Addressing ageing of the workforce issues by enabling knowledge management systems with social networks analysis capabilities

    Perisic, I.

    2004-01-01

    allowed by relevant government human resources guidelines). Social network analysis can initially be performed on the broad collection of valuable databases within the IAEA, such as the rich INIS database and the IAEA Web Resources. The subsequent social networks provide a view of the occurring knowledge transfer within the IAEA community through collaboration networks and affiliation networks. The techniques have already been shown to provide an effective overlook of the current state of affairs. We extend the approach presented elsewhere to 1) render it more precise within a topic area, 2) allow it to consider disparate sources of information and 3) integrate it within a knowledge management system and/or a portal. For example, integrating this information within the 'Find-an-Expert Facility' embedded within the INIS database, would not only provide the names of the experts but also the communities of experts. In this regard the ACM Portal, through its Digital Library, has already taken the first step. (author)

  14. State energy-price system: 1981 update

    Fang, J.M.; Imhoff, K.L.; Hood, L.J.

    1983-08-01

    This report updates the State Energy Price Data System (STEPS) to include state-level energy prices by fuel and by end-use sectors for 1981. Both physical unit prices and Btu prices are presented. Basic documentation of the data base remains generally the same as in the original report: State Energy Price System; Volume 1: Overview and Technical Documentation (DOE/NBB-0029 Volume 1 of 2, November 1982). The present report documents only the changes in procedures necessitated by the update to 1981 and the corrections to the basic documentation.

  15. Awareness and knowledge of methylmercury in fish in the United States

    Lando, Amy M.; Zhang, Yuanting

    2011-01-01

    In the 1970s several states in the Great Lakes region became concerned about mercury contamination in lakes and rivers and were the first to issue local fish consumption advisories. In 2001, the Food and Drug Administration (FDA) advised pregnant women, nursing mothers, young children, and women who may become pregnant not to consume shark, swordfish, king mackerel, and tilefish and recommended that these women not exceed 12 ounces of other fish per week. In 2004, FDA reissued this advice jointly with the U.S. Environmental Protection Agency (EPA) and modified it slightly to provide information about consumption of canned tuna and more details about consumption of recreationally caught fish. Though several studies have examined consumers' awareness of the joint FDA and EPA advisory as well as different state advisories, few used representative data. We examined the changes in awareness and knowledge of mercury as a problem in fish using the pooled nationally representative 2001 and 2006 Food Safety Surveys (FSS) with sample sizes of 4482 in 2001 and 2275 in 2006. Our results indicated an increase in consumers' awareness of mercury as a problem in fish (69% in 2001 to 80% in 2006, p<.001). In our regression models, we found that in both years, parents having children less than 5 years of age were more aware of mercury in fish and knowledgeable about the information contained in the national advisories about mercury in fish (p<.01) than other adults. In both 2001 and 2006, women of childbearing age (aged 18-45) were less aware and knowledgeable about this information than other women. However, women of all age groups had larger gains in awareness and knowledge than their male counterparts during this time. Participants' race, education, income, region, fish preparation experiences, having a foodborne illness in the past year, and risk perceptions about the safety of food were significant predictors of their awareness and knowledge. - Research highlights: → We

  16. Awareness and knowledge of methylmercury in fish in the United States

    Lando, Amy M., E-mail: amy.lando@fda.hhs.gov [Center for Food Safety and Applied Nutrition, Food and Drug Administration, 5100 Paint Branch Parkway, College Park, MD 20740 (United States); Zhang, Yuanting [Center for Food Safety and Applied Nutrition, Food and Drug Administration, 5100 Paint Branch Parkway, College Park, MD 20740 (United States)

    2011-04-15

    In the 1970s several states in the Great Lakes region became concerned about mercury contamination in lakes and rivers and were the first to issue local fish consumption advisories. In 2001, the Food and Drug Administration (FDA) advised pregnant women, nursing mothers, young children, and women who may become pregnant not to consume shark, swordfish, king mackerel, and tilefish and recommended that these women not exceed 12 ounces of other fish per week. In 2004, FDA reissued this advice jointly with the U.S. Environmental Protection Agency (EPA) and modified it slightly to provide information about consumption of canned tuna and more details about consumption of recreationally caught fish. Though several studies have examined consumers' awareness of the joint FDA and EPA advisory as well as different state advisories, few used representative data. We examined the changes in awareness and knowledge of mercury as a problem in fish using the pooled nationally representative 2001 and 2006 Food Safety Surveys (FSS) with sample sizes of 4482 in 2001 and 2275 in 2006. Our results indicated an increase in consumers' awareness of mercury as a problem in fish (69% in 2001 to 80% in 2006, p<.001). In our regression models, we found that in both years, parents having children less than 5 years of age were more aware of mercury in fish and knowledgeable about the information contained in the national advisories about mercury in fish (p<.01) than other adults. In both 2001 and 2006, women of childbearing age (aged 18-45) were less aware and knowledgeable about this information than other women. However, women of all age groups had larger gains in awareness and knowledge than their male counterparts during this time. Participants' race, education, income, region, fish preparation experiences, having a foodborne illness in the past year, and risk perceptions about the safety of food were significant predictors of their awareness and knowledge. - Research

  17. A knowledge based system for creep-fatigue assessment

    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.)

  18. Toward a Blended Ontology: Applying Knowledge Systems to ...

    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

  19. Oral Cancer Knowledge, Attitudes, and Practices among Dentists in Khartoum State, Sudan.

    Ahmed, Nada H M; Naidoo, Sudeshni

    2017-11-18

    The dental professions hold an important responsibility in the control of oral cancer and the early diagnosis highly depends on their knowledge. The present study was developed to assess the knowledge, attitude, and practice of dentists in Khartoum State regarding oral cancer prevention and early detection. An administered questionnaire was structured and sent to all licensed 130 dentists working in public dental clinics in Khartoum State. Responses to the questionnaire were analyzed using descriptive and analytical statistics. Although the majority of the dentists were knowledgeable about the major risk factors of oral cancer, more than half of the dentists reported they do not carry out any special examination to detect oral cancer in age 40 and above in asymptomatic patients. Dentists indicated their lack of training as the main barrier for conducting a comprehensive oral cancer examination. Interestingly, the vast majority of the dentists express their interest to have further oral cancer educational and training sessions. The findings of the present study suggested strongly that educational and training interventions are necessary to enhance preventive measures which may lead to reduce mortality and morbidity from oral cancer.

  20. KNOWLEDGE AND APPLICATION OF METHODS AND SYSTEMS QUALITY ASSURANCE IN ORCHARD FARMS IN POLAND

    Eugenia Czernyszewicz

    2013-06-01

    Full Text Available Poland is significant producer of fruits in Europe. After accession to the EU, fruit producers are obligated to comply with operative rules and standards on this market which are related to ensuring commercial and healthcare products of appropriate quality. The quality of fruits available on the market is varied. This results from the fact that in the past, in domestic horticulture, more attention was paid to enlargement of the acreage, the modernization of orchards, increasing the intensity of production and productivity than on issues related to certification and quality management systems. Therefore, the aim of the work was to show the producer's opinion on methods and systems which assure quality of fruits. It was stated that producers have a good knowledge of the methods and systems of fruit quality assurance. Knowledge of these issues is significantly associated with the scale of the fruit production. The knowledge of the principles of integrated fruit production and trading standards GLOBALG.A.P. was declared most often. These methods of quality assurance were also top rated by producers and implemented mostly in farms.

  1. KNOWLEDGE MANAGEMENT SYSTEM AS MEANS OF MOBILIZATION OF COMPETITIVE ADVANTAGES OF THE INDUSTRIAL ENTERPRISE

    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.

  2. Co-production of knowledge-action systems in urban sustainable governance: The KASA approach

    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 ...

  3. Using Indigenous Knowledge in Traditional Agricultural Systems for ...

    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

  4. Fast Reactor Knowledge Organization System (FR-KOS)

    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)

  5. Paradigms of knowledge management with systems modelling case studies

    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.

  6. Knowledge gaps in tropical Southeast Asian seagrass systems

    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.

  7. Scientometric trends and knowledge maps of global health systems research.

    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

  8. Monitoring and understanding changes in heat waves, cold waves, floods, and droughts in the United States: State of knowledge

    Peterson, Thomas C.; Heim, Richard R.; Hirsch, Robert M.; Kaiser, Dale P.; Brooks, Harold; Diffenbaugh, Noah S.; Dole, Randall M.; Giovannettone, Jason P.; Guirguis, Kristen; Karl, Thomas R.; Katz, Richard W.; Kunkel, Kenneth E.; Lettenmaier, Dennis P.; McCabe, Gregory J.; Paciorek, Christopher J.; Ryberg, Karen R.; K Wolter, BS Silva; Schubert, Siegfried; Silva, Viviane B. S.; Stewart, Brooke C.; Vecchia, Aldo V.; Villarini, Gabriele; Vose, Russell S.; Walsh, John; Wehner, Michael; Wolock, David; Wolter, Klaus; Woodhouse, Connie A.; Wuebbles, Donald

    2013-01-01

    Weather and climate extremes have been varying and changing on many different time scales. In recent decades, heat waves have generally become more frequent across the United States, while cold waves have been decreasing. While this is in keeping with expectations in a warming climate, it turns out that decadal variations in the number of U.S. heat and cold waves do not correlate well with the observed U.S. warming during the last century. Annual peak flow data reveal that river flooding trends on the century scale do not show uniform changes across the country. While flood magnitudes in the Southwest have been decreasing, flood magnitudes in the Northeast and north-central United States have been increasing. Confounding the analysis of trends in river flooding is multiyear and even multidecadal variability likely caused by both large-scale atmospheric circulation changes and basin-scale “memory” in the form of soil moisture. Droughts also have long-term trends as well as multiyear and decadal variability. Instrumental data indicate that the Dust Bowl of the 1930s and the drought in the 1950s were the most significant twentieth-century droughts in the United States, while tree ring data indicate that the megadroughts over the twelfth century exceeded anything in the twentieth century in both spatial extent and duration. The state of knowledge of the factors that cause heat waves, cold waves, floods, and drought to change is fairly good with heat waves being the best understood.

  9. Penerapan Knowledge Management System Sebagai Sarana Pertumbuhan Organisasi pada PT Intimap

    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

  10. Unpacking 'ethno-finance': an introduction to indigenous 'financial' knowledge systems

    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.

  11. "Tacit Knowledge" versus "Explicit Knowledge"

    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...

  12. An ontological knowledge based system for selection of process monitoring and analysis tools

    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....

  13. State of Academic Knowledge on Toxicity and Biological Fate of Quantum Dots

    Pelley, Jennifer L.; Daar, Abdallah S.; Saner, Marc A.

    2009-01-01

    Quantum dots (QDs), an important class of emerging nanomaterial, are widely anticipated to find application in many consumer and clinical products in the near future. Premarket regulatory scrutiny is, thus, an issue gaining considerable attention. Previous review papers have focused primarily on the toxicity of QDs. From the point of view of product regulation, however, parameters that determine exposure (e.g., dosage, transformation, transportation, and persistence) are just as important as inherent toxicity. We have structured our review paper according to regulatory risk assessment practices, in order to improve the utility of existing knowledge in a regulatory context. Herein, we summarize the state of academic knowledge on QDs pertaining not only to toxicity, but also their physicochemical properties, and their biological and environmental fate. We conclude this review with recommendations on how to tailor future research efforts to address the specific needs of regulators. PMID:19684286

  14. The Theory of the Knowledge Square The Fuzzy Rational Foundations of the Knowledge-Production Systems

    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...

  15. Knowledge acquisition and representation for the Systems Test and Operations Language (STOL) Intelligent Tutoring System (ITS)

    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.

  16. Knowledge Management

    Ravi Kiran

    2013-04-01

    Full Text Available The present study covers the knowledge management (KM in institutions of higher technical education (IHTEs from the perspective of thought leaders and junior academia to identify whether there is a difference of opinion regarding KM strategies, including knowledge technologies, knowledge acquisition, knowledge storage, knowledge dissemination, and KM-based framework for research and curriculum development (CD. Data have been collected through structured questionnaire from 141 respondents covering 30 higher educational institutions in India, including national- and state-level institutions—Designations of the targeted respondents in the IHTEs have been categorized into (a senior academia, that is, professors, heads, and associate professors occupying senior management positions, considered to be the institute overseers and thought leaders of KM and (b junior academia consisting of assistant professors and lecturers who are using and also contributing to the KM system. ANOVA has been used to see whether there is a significant difference of opinion among the two groups of knowledge users. The results of the study highlight a significant difference among the two groups regarding knowledge technologies, knowledge acquisition, knowledge storage, and knowledge dissemination. But, there is a consensus regarding KM-based framework for research and CD.

  17. Coping with the knowledge sharing barriers in Product Service Systems design

    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...

  18. Model of knowledge management in mobile systems used for training

    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.

  19. Scientific Knowledge Management in Socio-environmental Systems Context

    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.

  20. Disease Compass- a navigation system for disease knowledge based on ontology and linked data techniques.

    Kozaki, Kouji; Yamagata, Yuki; Mizoguchi, Riichiro; Imai, Takeshi; Ohe, Kazuhiko

    2017-06-19

    Medical ontologies are expected to contribute to the effective use of medical information resources that store considerable amount of data. In this study, we focused on disease ontology because the complicated mechanisms of diseases are related to concepts across various medical domains. The authors developed a River Flow Model (RFM) of diseases, which captures diseases as the causal chains of abnormal states. It represents causes of diseases, disease progression, and downstream consequences of diseases, which is compliant with the intuition of medical experts. In this paper, we discuss a fact repository for causal chains of disease based on the disease ontology. It could be a valuable knowledge base for advanced medical information systems. We developed the fact repository for causal chains of diseases based on our disease ontology and abnormality ontology. This section summarizes these two ontologies. It is developed as linked data so that information scientists can access it using SPARQL queries through an Resource Description Framework (RDF) model for causal chain of diseases. We designed the RDF model as an implementation of the RFM for the fact repository based on the ontological definitions of the RFM. 1554 diseases and 7080 abnormal states in six major clinical areas, which are extracted from the disease ontology, are published as linked data (RDF) with SPARQL endpoint (accessible API). Furthermore, the authors developed Disease Compass, a navigation system for disease knowledge. Disease Compass can browse the causal chains of a disease and obtain related information, including abnormal states, through two web services that provide general information from linked data, such as DBpedia, and 3D anatomical images. Disease Compass can provide a complete picture of disease-associated processes in such a way that fits with a clinician's understanding of diseases. Therefore, it supports user exploration of disease knowledge with access to pertinent information

  1. Awareness of disease state without explicit knowledge of memory failure in transient global amnesia.

    Hainselin, Mathieu; Quinette, Peggy; Desgranges, Béatrice; Martinaud, Olivier; de La Sayette, Vincent; Hannequin, Didier; Viader, Fausto; Eustache, Francis

    2012-09-01

    Transient global amnesia (TGA) is a syndrome characterised by the rapid onset of antero- and retrograde amnesia, accompanied by temporal disorientation and iterative questioning. It is now established that the acute phase is associated with a raised level of anxiety and a depressed mood. We conducted a thorough investigation of patients' perceptions of their disease state, focusing on the links between their lack of explicit knowledge of amnesia during the acute phase and their emotional experience. Explicit knowledge of memory deficits was assessed during TGA by means of an original scale inspired by Bisiach et al. (1986) and self-reported scales measuring patients' perceptions of their current memory and their cognitive and behavioural functioning. At the same time, we probed the patients' emotional experience (sources of worry, and levels of worry, anxiety and depression) via questionnaires. Data were collected from 20 patients in the acute phase, 16 in the peri-acute phase, 16 who were assessed the day after the episode and 14 healthy controls. Each patient underwent a follow-up examination 2 months later. Patients in the acute phase displayed a lack of explicit knowledge of their amnesia and overestimated their memory performances. They also expressed higher levels of worry and anxiety than controls, and a more depressed mood. Although they were aware of their disease state, the TGA patients were unable to identify the nature of their memory deficits and overestimated their memory performances. These memory misperceptions and the inability to acknowledge memory failure occurred concomitantly with changes in the patients' emotional state. This particular pattern of awareness could be regarded as a reaction to the suddenness and massiveness of the amnesia. Copyright © 2012 Elsevier Srl. All rights reserved.

  2. A Knowledge-Base for a Personalized Infectious Disease Risk Prediction System.

    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.

  3. Indilinga: African Journal of Indigenous Knowledge Systems - Vol 10 ...

    Restorative Justice and Knowledge Management in Africa: A Multidimensional Approach · EMAIL FULL TEXT EMAIL FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT. D W Nabudere, M Garvey, A Velthuizen, 153-170 ...

  4. Collaborative Knowledge Framework for Mediation Information System Engineering

    Wenxin Mu

    2017-01-01

    Full Text Available With the worldwide interenterprise collaboration and interoperability background, automatic collaborative business process deduction is crucial and imperative researching subject. A methodology of deducing collaborative process is designed by collecting collaborative knowledge. Due to the complexity of deduction methodology, a collaborative knowledge framework is defined to organize abstract and concrete collaborative information. The collaborative knowledge framework contains three dimensions: elements, levels, and life cycle. To better define the framework, the relations in each dimension are explained in detail. They are (i relations among elements, which organize the gathering orders and methods of different collaborative elements, (ii relations among life cycle, which present modeling processes and agility management, and (iii relations among levels, which define relationships among different levels of collaborative processes: strategy, operation, and support. This paper aims to explain the collaborative knowledge framework and the relations inside.

  5. Knowledge Capture and Management for Space Flight Systems

    Goodman, John L.

    2005-01-01

    The incorporation of knowledge capture and knowledge management strategies early in the development phase of an exploration program is necessary for safe and successful missions of human and robotic exploration vehicles over the life of a program. Following the transition from the development to the flight phase, loss of underlying theory and rationale governing design and requirements occur through a number of mechanisms. This degrades the quality of engineering work resulting in increased life cycle costs and risk to mission success and safety of flight. Due to budget constraints, concerned personnel in legacy programs often have to improvise methods for knowledge capture and management using existing, but often sub-optimal, information technology and archival resources. Application of advanced information technology to perform knowledge capture and management would be most effective if program wide requirements are defined at the beginning of a program.

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

    D0MINICS

    farming practices (soil conservation, intercropping, farm rotation, and food technology ... the earth's biological diversity through local knowledge. The agenda 21 of the .... did not eat, kill or trap these animals and birds thus naturally enhancing ...

  7. D and D knowledge management information tool - a web based system developed to share D and D knowledge worldwide

    Lagos, L.; Upadhyay, H.; Shoffner, P. [Applied Research Center, Florida International University, 10555 W. Flagler Street,EC2100, Miami, FL (United States)

    2013-07-01

    Deactivation and decommissioning (D and D) work is a high risk and technically challenging enterprise within the U.S. Department of Energy complex. During the past three decades, the DOE's Office of Environmental Management has been in charge of carrying out one of the largest environmental restoration efforts in the world: the cleanup of the Manhattan Project legacy. In today's corporate world, worker experiences and knowledge that have developed over time represent a valuable corporate asset. The ever-dynamic workplace, coupled with an aging workforce, presents corporations with the ongoing challenge of preserving work-related experiences and knowledge for cross-generational knowledge transfer to the future workforce [5]. To prevent the D and D knowledge base and expertise from being lost over time, the DOE and the Applied Research Center at Florida International University (FIU) have developed the web-based Knowledge Management Information Tool (KM-IT) to capture and maintain this valuable information in a universally available and easily accessible and usable system. The D and D KM-IT was developed in collaboration with DOE Headquarters (HQ), the Energy Facility Contractors Group (EFCOG), and the ALARA [as low as reasonably achievable] Centers at Savannah River Sites to preserve the D and D information generated and collected by the D and D community. This is an open secured system that can be accessed from https://www.dndkm.org over the web and through mobile devices at https://m.dndkm.org. This knowledge system serves as a centralized repository and provides a common interface for D and D-related activities. It also improves efficiency by reducing the need to rediscover knowledge and promotes the reuse of existing knowledge. It is a community-driven system that facilitates the gathering, analyzing, storing, and sharing of knowledge and information within the D and D community. It assists the DOE D and D community in identifying potential solutions

  8. D and D knowledge management information tool - a web based system developed to share D and D knowledge worldwide

    Lagos, L.; Upadhyay, H.; Shoffner, P.

    2013-01-01

    Deactivation and decommissioning (D and D) work is a high risk and technically challenging enterprise within the U.S. Department of Energy complex. During the past three decades, the DOE's Office of Environmental Management has been in charge of carrying out one of the largest environmental restoration efforts in the world: the cleanup of the Manhattan Project legacy. In today's corporate world, worker experiences and knowledge that have developed over time represent a valuable corporate asset. The ever-dynamic workplace, coupled with an aging workforce, presents corporations with the ongoing challenge of preserving work-related experiences and knowledge for cross-generational knowledge transfer to the future workforce [5]. To prevent the D and D knowledge base and expertise from being lost over time, the DOE and the Applied Research Center at Florida International University (FIU) have developed the web-based Knowledge Management Information Tool (KM-IT) to capture and maintain this valuable information in a universally available and easily accessible and usable system. The D and D KM-IT was developed in collaboration with DOE Headquarters (HQ), the Energy Facility Contractors Group (EFCOG), and the ALARA [as low as reasonably achievable] Centers at Savannah River Sites to preserve the D and D information generated and collected by the D and D community. This is an open secured system that can be accessed from https://www.dndkm.org over the web and through mobile devices at https://m.dndkm.org. This knowledge system serves as a centralized repository and provides a common interface for D and D-related activities. It also improves efficiency by reducing the need to rediscover knowledge and promotes the reuse of existing knowledge. It is a community-driven system that facilitates the gathering, analyzing, storing, and sharing of knowledge and information within the D and D community. It assists the DOE D and D community in identifying potential solutions

  9. The impact of new evidence on state-of-knowledge dependence

    Haim, M.; Apostolakis, G.

    1987-01-01

    When modeling a SOK (state-of-knowledge) dependence it is sometimes essential to apply a multivariate SOK distribution, e.g. when a new evidence is used to update a current assessment. As shown a SOK dependence may arise due to updating a prior distribution by dependent test-results. In two specific extreme cases SOK dependence (independence) cannot be influenced by updating the prior by new evidence: the case of identical units (a complete dependence), the case of independence (i.e., no SOK dependence) and evidence consists of conditionally independent test-results. (orig./HP)

  10. Raising the question of dignity through knowledge about tacit practices and politics: sharing learning from the Norwegian welfare state

    Oddgeir Synnes

    2017-09-01

    Full Text Available The focus of this special issue is some of the main tacit policies and practices in the Norwegian welfare state. By looking at what is tacit, mute, unarticulated and neglected we will contribute to raising and presenting knowledge about the social and ethical question of dignity in welfare. This introductory article will first give a short overview of the historical background of the Norwegian welfare state and some of its current features. This will be followed by our positioning of the Norwegian welfare state as situated within complex practices, political discourses and dimensions that might be characterised as tacit, implicit or unarticulated. The article aims to discuss the concept of dignity in welfare services, at the individual and structural level, by asking ‘what kind of practices and structural conditions preserve dignity and where might dignity be violated, ignored or left out?’ The various articles in this special issue of the International Practice Development Journal illuminate what can be said and what is mute and tacit in different ways, and consider a range of practice-based responses. By revealing tacit dimensions in the Norwegian welfare this issue offers important insight into practices and discourses where dignity is at stake. It is a requirement of us all that we revisit dignity and its location and representation in our health systems to ensure it is not left behind as the state and other systems within it evolve.

  11. A Representation System User Interface for Knowledge Base Designers

    Fikes, Richard E.

    1982-01-01

    A major strength of frame-based knowledge representation languages is their ability to provide the knowledge base designer with a concise and intuitively appealing means expression. The claim of intuitive appeal is based on the observation that the object -centered style of description provided by these languages often closely matches a designer's understanding of the domain being modeled and therefore lessens the burden of reformulation involved in developing a formal description. To be effe...

  12. Systems Engineering Knowledge Asset (SEKA) Management for Higher Performing Engineering Teams: People, Process and Technology toward Effective Knowledge-Workers

    Shelby, Kenneth R., Jr.

    2013-01-01

    Systems engineering teams' value-creation for enterprises is slower than possible due to inefficiencies in communication, learning, common knowledge collaboration and leadership conduct. This dissertation outlines the surrounding people, process and technology dimensions for higher performing engineering teams. It describes a true experiment…

  13. Acquisition and representation of knowledge related to crack formation in power plant components - practical implementation in a knowledge-based system (ESR)

    Jovanovic, A.; Kautz, H.R.; Raepke, H.; Witte, M. de

    1992-01-01

    The damage analysis in general and analysis of crack formation in particular, must rely on a careful balance of generic principles (e.g. generic knowledge about damage mechanisms) and information regarding the analyzed component (e.g. operating history, manufacturing data or construction records). Use of non-standard and/or advanced approaches (for damage parameters, monitoring techniques, etc.) can, on the one hand, enhance the solution by making it more comprehensive, but, on the other hand, it can also make the final decision more complex. In both cases, at the current state of practice, only heuristic knowledge can assure that all the important factors be properly considered. The examples shown in the paper illustrate the feasibility of obtaining useful interim results, which, through a continued long-term effort invested in knowledge acquisition and representation, and its integration into a knowledge-based system allow to achieve progressively the goals formulated at the beginning of the expert system for remaining life assessment project. (orig./DG)

  14. United States Physical Therapists' Knowledge About Joint Hypermobility Syndrome Compared with Fibromyalgia and Rheumatoid Arthritis.

    Russek, Leslie N; LaShomb, Emily A; Ware, Amy M; Wesner, Sarah M; Westcott, Vanessa

    2016-03-01

    Joint hypermobility syndrome (JHS) is one of the most common inherited connective tissue disorders. It causes significant pain and disability for all age groups, ranging from developmental delay among children to widespread chronic pain in adults. Experts in JHS assert that the condition is under-recognized and poorly managed. The aim of this study was to assess US physical therapists' knowledge about JHS compared with other causes of widespread pain and activity limitations: fibromyalgia, juvenile rheumatoid arthritis and adult rheumatoid arthritis. Cross-sectional, Internet-based survey of randomly selected members of the American Physical Therapy Association and descriptive statistics were used to explore physical therapists' knowledge about JHS, fibromyalgia, juvenile rheumatoid arthritis and adult rheumatoid arthritis, and chi square was used to compare knowledge about the different conditions. The response rate was 15.5% (496). Although 36% recognized the Beighton Scale for assessing joint hypermobility, only 26.8% of respondents were familiar with the Brighton Criteria for diagnosing JHS. Few respondents (11-19%) realized that JHS has extra-articular features such as anxiety disorder, fatigue, headache, delayed motor development, easy bruising and sleep disturbance. Physical therapists working in environments most likely to see patients with JHS underestimated the likely prevalence in their patient population. The results suggest that many physical therapists in the United States are not familiar with the diagnostic criteria, prevalence or common clinical presentation of JHS. Copyright © 2014 John Wiley & Sons, Ltd.

  15. Children with paralytic poliomyelitis: a cross-sectional study of knowledge, attitudes and beliefs of parents in Zamfara state, Nigeria.

    Ogwumike, Omoyemi O; Kaka, Bashir; Adeniyi, Ade F

    2012-10-22

    Nigeria is one of the major African countries in which incidences of polio infection persist in spite of several eradication efforts. The preponderance of paralytic poliomyelitis particularly in the northern part of Nigeria raises the question as to whether parents of children affected with polio know how polio is contracted and spread, whether having a disabled child affects the parents' attitude towards these children, and what they believe about poliomyelitis in view of their socio-cultural and belief system in the sub-region. Zamfara State, in the north-west of Nigeria is one of the endemic areas where resistance to the global campaign on polio eradication was very high. Therefore this study was conducted to investigate the knowledge, attitudes and beliefs of parents/primary caregivers of children affected with paralytic poliomyelitis in Zamfara State. This study is a cross-sectional survey in which the multistage probability sampling technique was used to randomly select two local government areas in Zamfara State where consenting parents/primary caregivers of children with paralytic poliomyelitis were purposively selected. The knowledge, attitudes and beliefs of parents were assessed with the aid of a 4-part 52-item structured researcher administered questionnaire and the data obtained were analyzed. Two hundred and seventeen parents/primary caregivers participated in the study. One hundred and forty-two, (65.4%) reported good, 51 (23.8%) reported fair, while 24 (11%) of participants reported poor knowledge of paralytic poliomyelitis. More respondents 120 (55.3%) showed a positive attitude towards children with paralytic poliomyelitis. Younger age (P=0.016) and paid employment (P=0.020) were positively associated with good knowledge of paralytic poliomyelitis. Female gender (P=0.020), higher educational level (P=0.015), being employed (P=0.010) and having from middle to high household income (P=0.016) were positively associated with a positive attitude toward

  16. Marshall Space Flight Center Propulsion Systems Department (PSD) Knowledge Management (KM) Initiative

    Caraccioli, Paul; Varnedoe, Tom; Smith, Randy; McCarter, Mike; Wilson, Barry; Porter, Richard

    2006-01-01

    NASA Marshall Space Flight Center's Propulsion Systems Department (PSD) is four months into a fifteen month Knowledge Management (KM) initiative to support enhanced engineering decision making and analyses, faster resolution of anomalies (near-term) and effective, efficient knowledge infused engineering processes, reduced knowledge attrition, and reduced anomaly occurrences (long-term). The near-term objective of this initiative is developing a KM Pilot project, within the context of a 3-5 year KM strategy, to introduce and evaluate the use of KM within PSD. An internal NASA/MSFC PSD KM team was established early in project formulation to maintain a practitioner, user-centric focus throughout the conceptual development, planning and deployment of KM technologies and capabilities within the PSD. The PSD internal team is supported by the University of Alabama's Aging Infrastructure Systems Center of Excellence (AISCE), lntergraph Corporation, and The Knowledge Institute. The principle product of the initial four month effort has been strategic planning of PSD KNI implementation by first determining the "as is" state of KM capabilities and developing, planning and documenting the roadmap to achieve the desired "to be" state. Activities undertaken to suppoth e planning phase have included data gathering; cultural surveys, group work-sessions, interviews, documentation review, and independent research. Assessments and analyses have beon pedormed including industry benchmarking, related local and Agency initiatives, specific tools and techniques used and strategies for leveraging existing resources, people and technology to achieve common KM goals. Key findings captured in the PSD KM Strategic Plan include the system vision, purpose, stakeholders, prioritized strategic objectives mapped to the top ten practitioner needs and analysis of current resource usage. Opportunities identified from research, analyses, cultural1KM surveys and practitioner interviews include

  17. The Nature Index: A General Framework for Synthesizing Knowledge on the State of Biodiversity

    Certain, Grégoire; Skarpaas, Olav; Bjerke, Jarle-Werner; Framstad, Erik; Lindholm, Markus; Nilsen, Jan-Erik; Norderhaug, Ann; Oug, Eivind; Pedersen, Hans-Christian; Schartau, Ann-Kristin; van der Meeren, Gro I.; Aslaksen, Iulie; Engen, Steinar; Garnåsjordet, Per-Arild; Kvaløy, Pål; Lillegård, Magnar; Yoccoz, Nigel G.; Nybø, Signe

    2011-01-01

    The magnitude and urgency of the biodiversity crisis is widely recognized within scientific and political organizations. However, a lack of integrated measures for biodiversity has greatly constrained the national and international response to the biodiversity crisis. Thus, integrated biodiversity indexes will greatly facilitate information transfer from science toward other areas of human society. The Nature Index framework samples scientific information on biodiversity from a variety of sources, synthesizes this information, and then transmits it in a simplified form to environmental managers, policymakers, and the public. The Nature Index optimizes information use by incorporating expert judgment, monitoring-based estimates, and model-based estimates. The index relies on a network of scientific experts, each of whom is responsible for one or more biodiversity indicators. The resulting set of indicators is supposed to represent the best available knowledge on the state of biodiversity and ecosystems in any given area. The value of each indicator is scaled relative to a reference state, i.e., a predicted value assessed by each expert for a hypothetical undisturbed or sustainably managed ecosystem. Scaled indicator values can be aggregated or disaggregated over different axes representing spatiotemporal dimensions or thematic groups. A range of scaling models can be applied to allow for different ways of interpreting the reference states, e.g., optimal situations or minimum sustainable levels. Statistical testing for differences in space or time can be implemented using Monte-Carlo simulations. This study presents the Nature Index framework and details its implementation in Norway. The results suggest that the framework is a functional, efficient, and pragmatic approach for gathering and synthesizing scientific knowledge on the state of biodiversity in any marine or terrestrial ecosystem and has general applicability worldwide. PMID:21526118

  18. State and National Water Fluoridation System (Public Water Systems)

    U.S. Department of Health & Human Services — The Water Fluoridation Reporting System (WFRS) has been developed to provide tools to assist states in managing fluoridation programs. WFRS is designed to track all...

  19. Whose Knowledge, Whose Values? The Contribution of Local Knowledge to Education Policy Processes: A Case Study of Research Development Initiatives in the Small State of Saint Lucia

    Holmes, Keith; Crossley, Michael

    2004-01-01

    This paper draws upon a case study of education in the small Caribbean state of Saint Lucia (population 154,000) to examine how local knowledge and values can influence the education policy process. It is argued that recent research development initiatives have strengthened the ability of Saint Lucia to mediate international education agendas to…

  20. Expert Seeker: A People-Finder Knowledge Management System

    Becerra-Fernandez, Irma

    2000-01-01

    The first objective for this report was to perform a comprehensive research of industry models currently being used for similar purposes, in order to provide the Center with ideas of what is being done in area by private companies and government agencies. The second objective was to evaluate the use of taxonomies or ontologies to describe and catalog the areas of expertise at GSFC. The creation of a knowledge taxonomy is necessary for information extraction in order for The Expert Seeker to adequately search and find experts in a particular area of expertise. The requirements to develop a taxonomy are: provide minimal descriptive text; have the appropriate level of abstration; facilitate browsing; ease of use and speed of data entry are critical for success; customized to the organization and its culture; extent of knowledge areas; expandable, so new skills could be develop; could be complemented with free text fields to allow users the option to describe their knowledge in detail.

  1. Knowledge networks: socio-environmental innovation regional systems

    Marcelo Macedo Valinhas

    2010-05-01

    Full Text Available This work aims to evaluate knowledge networks by analyzing actions executed by two socio-environmental projects designed to improve life of fishermen communities in Macaé, Rio de Janeiro, Brazil. The network structure was studied in terms of institutional representatives, regional character, types of network, flow and kinds of knowledge, formal and informal network aspects, and development of technical confidence. Despite the need for improving the network connectivity in the two evaluated projects, and adapting them to emphasize decentralization, multi-leadership, transparence, cooperation and interdependence principles, the studied network has provided an increase in the knowledge flow of participants and closer contact among technical staff, researches and social segments badly affected by the extremely accelerated urban growth resulting from local oil industry activities.

  2. Integrative pathway knowledge bases as a tool for systems molecular medicine.

    Liang, Mingyu

    2007-08-20

    There exists a sense of urgency to begin to generate a cohesive assembly of biomedical knowledge as the pace of knowledge accumulation accelerates. The urgency is in part driven by the emergence of systems molecular medicine that emphasizes the combination of systems analysis and molecular dissection in the future of medical practice and research. A potentially powerful approach is to build integrative pathway knowledge bases that link organ systems function with molecules.

  3. Knowledge-based system for detailed blade design of turbines

    Goel, Sanjay; Lamson, Scott

    1994-03-01

    system (TBOS) is developed using the described methodology of coupling knowledge engineering with multiple search techniques for blade shape optimization. TBOS removes a major bottleneck in the design cycle by performing multiple design optimizations in parallel, and improves design quality at the same time. TBOS not only improves the design but also the designers' quality of work by taking the mundane repetitive task of design iterations away and leaving them more time for innovative design.

  4. Knowledge model of trainee for training support system of plant operation

    Furuhama, Yutaka; Furuta, Kazuo; Kondo, Shunsuke [Tokyo Univ. (Japan). Faculty of Engineering

    1996-10-01

    We have already proposed a knowledge model of a trainee, which model consists of two layers: hierarchical function and qualitative structure. We developed a method to generate normative operator knowledge based on this knowledge model structure, and to identify trainee`s intention by means of truth maintenance. The methods were tested by cognitive experiment using a prototype of training support system. (author)

  5. A knowledge based system for linking information to support decision making in construction

    Al-Jibouri, Saad H.S.; Mawdesley, Michael J.

    2002-01-01

    This work describes the development of a project model centred on the information and knowledge generated and used by managers. It describes a knowledge-based system designed for this purpose. A knowledge acquisition exercise was undertaken to determine the tasks of project managers and the

  6. The Advantages of Abstract Control Knowledge in Expert System Design. Technical Report #7.

    Clancey, William J.

    This paper argues that an important design principle for building expert systems is to represent all control knowledge abstractly and separately from the domain knowledge upon which it operates. Abstract control knowledge is defined as the specifications of when and how a program is to carry out its operations, such as pursuing a goal, focusing,…

  7. A Process-Based Knowledge Management System for Schools: A Case Study in Taiwan

    Lee, Chi-Lung; Lu, Hsi-Peng; Yang, Chyan; Hou, Huei-Tse

    2010-01-01

    Knowledge management systems, or KMSs, have been widely adopted in business organizations, yet little research exists on the actual integration of the knowledge management model and the application of KMSs in secondary schools. In the present study, the common difficulties and limitations regarding the implementation of knowledge management into…

  8. Configurations of corporate strategy systems in knowledge-intensive enterprises : an explorative study

    Kemp, J.L.C.

    2006-01-01

    This research focuses on the specific contexts of knowledge-intensive enterprises (KIE). Knowledge-intensive enterprises are defined as purposeful, living systems with mainly knowledge workers in the primary process or at least in the technical staff when this has a dominant influence on the

  9. The integration of expert knowledge in decision support systems for facility location planning

    Arentze, T.A.; Borgers, A.W.J.; Timmermans, H.J.P.

    1995-01-01

    The integration of expert systems in DSS has led to a new generation of systems commonly referred to as knowledge-based or intelligent DSS. This paper investigates the use of expert system technology for the development of a knowledge-based DSS for the planning of retail and service facilities. The

  10. Integrating shallow and deep knowledge in the design of an on-line process monitoring system

    Gallanti, M.; Gilardoni, L.; Guida, G.; Stefanini, A.; Tomada, L.

    1989-01-01

    Monitoring and malfunctions diagnosis of complex industrial plants involves, in addition to shallow empirical knowledge about plant operation, also deep knowledge about structure and function. This paper presents the results obtained in the design and experimentation of PROP and PROP-2 systems, devoted to on-line monitoring and diagnosis of pollution phenomena in the cycle water of a thermal power plant. In particular, it focuses on PROP-2 architecture, with encompasses a four-level hierarchical knowledge base including both empirical knowledge and a deep model of the plant. Shallow knowledge is represented by production rules and event-graphs (a formalism for expressing procedural knowledge), while deep knowledge is expressed using a representation language based on the concept of component. One major contribution of the proposed approach has been to show in a running experimental system that a suitable blend of shallow and deep knowledge can offer substantial advantages over a single paradigm.

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

    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.

  12. The fault monitoring and diagnosis knowledge-based system for space power systems: AMPERES, phase 1

    Lee, S. C.

    1989-01-01

    The objective is to develop a real time fault monitoring and diagnosis knowledge-based system (KBS) for space power systems which can save costly operational manpower and can achieve more reliable space power system operation. The proposed KBS was developed using the Autonomously Managed Power System (AMPS) test facility currently installed at NASA Marshall Space Flight Center (MSFC), but the basic approach taken for this project could be applicable for other space power systems. The proposed KBS is entitled Autonomously Managed Power-System Extendible Real-time Expert System (AMPERES). In Phase 1 the emphasis was put on the design of the overall KBS, the identification of the basic research required, the initial performance of the research, and the development of a prototype KBS. In Phase 2, emphasis is put on the completion of the research initiated in Phase 1, and the enhancement of the prototype KBS developed in Phase 1. This enhancement is intended to achieve a working real time KBS incorporated with the NASA space power system test facilities. Three major research areas were identified and progress was made in each area. These areas are real time data acquisition and its supporting data structure; sensor value validations; development of inference scheme for effective fault monitoring and diagnosis, and its supporting knowledge representation scheme.

  13. 41. DISCOVERY, SEARCH, AND COMMUNICATION OF TEXTUAL KNOWLEDGE RESOURCES IN DISTRIBUTED SYSTEMS a. Discovering and Utilizing Knowledge Sources for Metasearch Knowledge Systems

    Zamora, Antonio

    2008-03-18

    Advanced Natural Language Processing Tools for Web Information Retrieval, Content Analysis, and Synthesis. The goal of this SBIR was to implement and evaluate several advanced Natural Language Processing (NLP) tools and techniques to enhance the precision and relevance of search results by analyzing and augmenting search queries and by helping to organize the search output obtained from heterogeneous databases and web pages containing textual information of interest to DOE and the scientific-technical user communities in general. The SBIR investigated 1) the incorporation of spelling checkers in search applications, 2) identification of significant phrases and concepts using a combination of linguistic and statistical techniques, and 3) enhancement of the query interface and search retrieval results through the use of semantic resources, such as thesauri. A search program with a flexible query interface was developed to search reference databases with the objective of enhancing search results from web queries or queries of specialized search systems such as DOE's Information Bridge. The DOE ETDE/INIS Joint Thesaurus was processed to create a searchable database. Term frequencies and term co-occurrences were used to enhance the web information retrieval by providing algorithmically-derived objective criteria to organize relevant documents into clusters containing significant terms. A thesaurus provides an authoritative overview and classification of a field of knowledge. By organizing the results of a search using the thesaurus terminology, the output is more meaningful than when the results are just organized based on the terms that co-occur in the retrieved documents, some of which may not be significant. An attempt was made to take advantage of the hierarchy provided by broader and narrower terms, as well as other field-specific information in the thesauri. The search program uses linguistic morphological routines to find relevant entries regardless of

  14. Current state about the cuaternary knowledge of Uruguay; Estado actual sobre los conocimientos del cuaternario en Uruguay

    Anton, D; Goso, H

    1974-07-01

    This work is about current state of cuaternary knowledge Uruguayan. It is considered that the cuaternary presented a change from the hot and dry weather of the Pliocene to more humid and colder weather in Uruguay.

  15. Ada as an implementation language for knowledge based systems

    Rochowiak, Daniel

    1990-01-01

    Debates about the selection of programming languages often produce cultural collisions that are not easily resolved. This is especially true in the case of Ada and knowledge based programming. The construction of programming tools provides a desirable alternative for resolving the conflict.

  16. Young Children's Knowledge about the Moon: A Complex Dynamic System

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

    2012-01-01

    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…

  17. Knowledge as a Contingency Factor: Achieving Coordination in Interorganizational Systems

    2010-09-01

    theory; knowledge flow theory; information processing theory; computational modeling; disaster research; interorganizational theory 16. PRICE CODE 17...primarily to the variables of size (see Chandler 1962; 21 Pugh et al. 1963; Blau 1970; Child 1973) and age ( Starbuck 1965; Inkson et al. 1970; Samuel

  18. Knowledge Management Integration into Strategic Human Capital Management Systems

    Marco, Tony; Heler, David

    2014-01-01

    Leadership model philosophies: • Knowledge is fundamental – share it; • We are in the refueling outage business; • Cost effective does not necessarily mean cheap; • Working efficiently and event free; • Make conscious, informed decisions; • Excellence in Operational Focus; • Operations Leads the Station; • End of Licenses and Beyond 60; • Our Leadership Model - Our future

  19. The design and evaluation of a knowledge-intensive system

    Gunawan, A.; van den Herik, H.J.; Wahdan, M.A.; van de Walle, B.A.; Athuri, A.; Gaol, F.L.

    2012-01-01

    To make an appropriate decision, a manager needs to be supported with qualified information and adequate knowledge in interpreting the information. A challenging situation arises when the manager has only limited time for formulating an appropriate decision. One of the solutions is to support the

  20. Indigenous Knowledge Systems for the treatment of Hypertension in ...

    46987.2

    sum total of knowledge or practices that enables diagnosing ... hypertension in 2008.7 Hypertension was reported as the ... by 2025, the current global prevalence stands at .... hypertension. theme .... Six (6/12) THPs reported that ... While poor food choices (nutrition) were ... Cameroon found that 90% of traditional healers.

  1. Indilinga: African Journal of Indigenous Knowledge Systems - Vol 3 ...

    ENSHRINING INDIGENOUS KNOWLEDGE AS A PUBLIC GOOD: INDIGENOUS EDUCATION AND THE MAORI SENSE OF PLACE · EMAIL FULL TEXT EMAIL FULL TEXT DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT. Michael E. Jones, Joshua Hunter, 103-111. http://dx.doi.org/10.4314/indilinga.v3i2.26358 ...

  2. Indilinga: African Journal of Indigenous Knowledge Systems - Vol 1 ...

    Conservation of Biological Diversity and Indigenous Traditional Knowledge as Exemplified by the Cases of Asia and Africa · EMAIL FULL TEXT EMAIL FULL TEXT ... Akula Udongo (Earth Eating Habits): A Social and Cultural Practice among Chagga Women on the Slopes of Mount Kilimanjaro · EMAIL FULL TEXT EMAIL ...

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

    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 ...

  4. MANAGEMENT SYSTEM OF KNOWLEDGE WORKERS IN THE CONTEMPORARY ENTERPRISE

    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

  5. Driving Forces behind the Development and Stabilization of Knowledge Organization Systems in Digital Environments

    Jaanus , Jörgen; Ley , Tobias

    2012-01-01

    Part 7: Doctoral Student Papers; International audience; The emergence of Digital Ecosystems can be endorsed by creating shared conceptualizations. Knowledge Organization Systems (KOS) form a backbone of organizing knowledge. Focusing in developing KOS and having its present and future requirements in mind would eventually support knowledge sharing and learning at collective level. Three types of KOS are distinguished: a) private level KOS; b) arbitrary KOS; c) methodic KOS. Knowledge Maturin...

  6. Research on Knowledge-Oriented Supply ChainRisk Management System Model

    Yingchun Guo

    2011-01-01

    Based on analyzing the characteristics of supply chain risk management under the influences of knowledge, in this paper integrates basic theories and methods of knowledge management into the process of risk management, builds a knowledge-oriented supply chain risk management system model, and proposes relevant strategies, presenting references for practical application of knowledge-oriented supply chain risk management. By means of acquiring, storing, sharing, and transferring supply chain ri...

  7. 34 CFR 200.12 - Single State accountability system.

    2010-07-01

    ... 34 Education 1 2010-07-01 2010-07-01 false Single State accountability system. 200.12 Section 200... Improving Basic Programs Operated by Local Educational Agencies State Accountability System § 200.12 Single State accountability system. (a)(1) Each State must demonstrate in its State plan that the State has...

  8. A Comparative Assessment of Knowledge Management Programs Across the United States Armed Services

    Booker, Patrick L

    2006-01-01

    .... This can be achieved through effective knowledge management. Knowledge management involves processes to create, to store, and transfer knowledge to accomplish business objectives and to achieve a competitive advantage...

  9. Manipulating Quantum Coherence in Solid State Systems

    Flatté, Michael E; The NATO Advanced Study Institute "Manipulating Quantum Coherence in Solid State Systems"

    2007-01-01

    The NATO Advanced Study Institute "Manipulating Quantum Coherence in Solid State Systems", in Cluj-Napoca, Romania, August 29-September 9, 2005, presented a fundamental introduction to solid-state approaches to achieving quantum computation. This proceedings volume describes the properties of quantum coherence in semiconductor spin-based systems and the behavior of quantum coherence in superconducting systems. Semiconductor spin-based approaches to quantum computation have made tremendous advances in the past several years. Coherent populations of spins can be oriented, manipulated and detected experimentally. Rapid progress has been made towards performing the same tasks on individual spins (nuclear, ionic, or electronic) with all-electrical means. Superconducting approaches to quantum computation have demonstrated single qubits based on charge eigenstates as well as flux eigenstates. These topics have been presented in a pedagogical fashion by leading researchers in the fields of semiconductor-spin-based qu...

  10. IBA's state of art Proton Therapy System

    Ternier, Sonja

    2001-01-01

    Full text: In recent years, IBA has developed a state-of-the-art Proton Therapy System that is currently being implemented at the Northeast Proton Therapy Center in Boston. First patient treatment is predicted for the fourth quarter of 2001. The IBA Proton Therapy System consists of a 230 MeV accelerator (a fixed energy isochronous cyclotron), an Energy Selection System that can decrease the energy down to 70 MeV and up to five treatment rooms. There are two types of treatment rooms. A gantry treatment room in which a patient can be treated from virtually any angle or a fixed horizontal beam line aimed at treatments of the of the head and neck. The system is equipped with a Therapy Control System and a Global Safety Management System. The Integrated Therapy Control System is an integrated system ensuring the control of the treatment sessions through independent but networked therapy control units and, therefore, the control of each equipment subsystem. The integrated safety management system, independent of the Therapy Control System, includes a set of hard-wired safety devices, ensuring the safety of the patient and personnel. The system will be capable of delivering proton treatments in four-treatment modes: Double Scattering, Single Scattering, Wobbling and Pencil Beam Scanning. The presentation will show the most important subsystems and treatment modes capabilities as well as the most recent advances in the technology. (author)

  11. Fault Lines in Our Democracy: Civic Knowledge, Voting Behavior, and Civic Engagement in the United States

    Coley, Richard J.; Sum, Andrew

    2012-01-01

    As the 21st century unfolds, the United States faces historic challenges, including a struggling economy, an aging infrastructure and global terrorism. Solutions will have to come from educated, skilled citizens who understand and believe in our democratic system and are civically engaged. This incisive new report examines these fault lines and…

  12. Integrating Statistical and Expert Knowledge to Develop Phenoregions for the Continental United States

    Hoffman, F. M.; Kumar, J.; Hargrove, W. W.

    2013-12-01

    Vegetated ecosystems typically exhibit unique phenological behavior over the course of a year, suggesting that remotely sensed land surface phenology may be useful for characterizing land cover and ecoregions. However, phenology is also strongly influenced by temperature and water stress; insect, fire, and storm disturbances; and climate change over seasonal, interannual, decadal and longer time scales. Normalized difference vegetation index (NDVI), a remotely sensed measure of greenness, provides a useful proxy for land surface phenology. We used NDVI for the conterminous United States (CONUS) derived from the Moderate Resolution Spectroradiometer (MODIS) at 250 m resolution to develop phenological signatures of emergent ecological regimes called phenoregions. By applying a unsupervised, quantitative data mining technique to NDVI measurements for every eight days over the entire MODIS record, annual maps of phenoregions were developed. This technique produces a prescribed number of prototypical phenological states to which every location belongs in any year. To reduce the impact of short-term disturbances, we derived a single map of the mode of annual phenological states for the CONUS, assigning each map cell to the state with the largest integrated NDVI in cases where multiple states tie for the highest frequency. Since the data mining technique is unsupervised, individual phenoregions are not associated with an ecologically understandable label. To add automated supervision to the process, we applied the method of Mapcurves, developed by Hargrove and Hoffman, to associate individual phenoregions with labeled polygons in expert-derived maps of biomes, land cover, and ecoregions. Utilizing spatial overlays with multiple expert-derived maps, this "label-stealing"' technique exploits the knowledge contained in a collection of maps to identify biome characteristics of our statistically derived phenoregions. Generalized land cover maps were produced by combining

  13. “Indigenizing” Food Sovereignty. Revitalizing Indigenous Food Practices and Ecological Knowledges in Canada and the United States

    Charlotte Coté

    2016-07-01

    Full Text Available The food sovereignty movement initiated in 1996 by a transnational organization of peasants, La Via Campesina, representing 148 organizations from 69 countries, became central to self-determination and decolonial mobilization embodied by Indigenous peoples throughout the world. Utilizing the framework of decolonization and sustainable self-determination, this article analyzes the concept of food sovereignty to articulate an understanding of its potential for action in revitalizing Indigenous food practices and ecological knowledge in the United States and Canada. The food sovereignty movement challenged the hegemony of the globalized, neoliberal, industrial, capital-intensive, corporate-led model of agriculture that created destructive economic policies that marginalized small-scale farmers, removed them from their land, and forced them into the global market economy as wage laborers. Framed within a larger rights discourse, the food sovereignty movement called for the right of all peoples to healthy and culturally appropriate food and the right to define their own food and agricultural systems. “Indigenizing” food sovereignty moves beyond a rights based discourse by emphasizing the cultural responsibilities and relationships Indigenous peoples have with their environment and the efforts being made by Indigenous communities to restore these relationships through the revitalization of Indigenous foods and ecological knowledge systems as they assert control over their own foods and practices.

  14. "ZEMSTVO STATE AFFAIR": UNIT OF ZEMSTVO IN STATE CONTROL SYSTEM

    Гульназ Булатовна Азаматова

    2014-12-01

    Full Text Available Local self-government in the Russian Empire (1864-1918 arose as a result of the bourgeois reforms and had a diversified character. This article reviews the role of zemstvo in the implementation of individual bourgeois reforms, local self-government relations with the justice of the peace, peasant authorities, the system of taxation and management of national education. The author concludes that district and executive councils complemented the administrative-bureaucratic system of local government through the district and provincial levels and human resources structure. At the same time, local authorities increased the scope of decentralization and democratization of local administration through election of magistrates, civil servants of peasant bodies as well as via representation in collegial bodies. The independent status of zemstvo promoted to emergence of a new level in the administrative and political management culture. The government used zemstvo to create a modernized system of taxation. Through district councils the Russian Empire established the valuation area of taxation and professional human resources. Thus, district councils helped to improve state administration and became the tool of implementation of the government reform programs in the late 19 th and early 20 th centuries.

  15. Human Factors of CC-130 Operations: Training Systems Knowledge

    1999-03-01

    Klein, 1997). The fruits of this labour and thinking is to be found in the revised version of the contractor’s final report on Phase 1 of the...speaker for absentee presenter; not in conference agenda nor on attendance list) 31 Notes: Hooper and DiPetta: • Distance based learning linking up...allow the tool to achieve the aim of knowledge-to-skill conversion as well. Implications. The division of training labour suggested by this re-balanced

  16. Methodological Features of Educational System Modernization in the Context of the "Economy of Knowledge"

    Karpova, Natalia Konstantinovna; Uvarovsky, Alexander Pavlovich; Mareev, Vladimir Ivanovich; Petrova, Nina Petrovna; Borzilov, Yuri Petrovich

    2016-01-01

    The article is devoted to some methodological features of modernization in modern education in the context of "the knowledge economy" development which is aimed at shaping new mental potential of the modern state. Features and prerequisites for the emergence of the knowledge economy, the priorities of which include the development and…

  17. Knowledge-based computer systems for radiotherapy planning.

    Kalet, I J; Paluszynski, W

    1990-08-01

    Radiation therapy is one of the first areas of clinical medicine to utilize computers in support of routine clinical decision making. The role of the computer has evolved from simple dose calculations to elaborate interactive graphic three-dimensional simulations. These simulations can combine external irradiation from megavoltage photons, electrons, and particle beams with interstitial and intracavitary sources. With the flexibility and power of modern radiotherapy equipment and the ability of computer programs that simulate anything the machinery can do, we now face a challenge to utilize this capability to design more effective radiation treatments. How can we manage the increased complexity of sophisticated treatment planning? A promising approach will be to use artificial intelligence techniques to systematize our present knowledge about design of treatment plans, and to provide a framework for developing new treatment strategies. Far from replacing the physician, physicist, or dosimetrist, artificial intelligence-based software tools can assist the treatment planning team in producing more powerful and effective treatment plans. Research in progress using knowledge-based (AI) programming in treatment planning already has indicated the usefulness of such concepts as rule-based reasoning, hierarchical organization of knowledge, and reasoning from prototypes. Problems to be solved include how to handle continuously varying parameters and how to evaluate plans in order to direct improvements.

  18. State of patients’ knowledge about treatment and proceedings in type 2 diabetes

    Rafal Filip

    2014-06-01

    Full Text Available objective. The aim of the research was to evaluate the level of patients’ knowledge about type 2 diabetes, treatment and proceedings in the case of the disease. materials and method. 100 patients suffering from type 2 diabetes were included in the research, aged 40–90 years (64% and 36%, who lived in the countryside (54% and in the city (46%, hospitalized in the internal and geriatric wards in provincial hospitals of the Podkarpacie Region in south-eastern Poland. The research method was a diagnostic survey conducted by use of a questionnaire that consisted of 31 both multiple choice and open questions. Among the respondents, 64% were women and 36% men. Among them, 18% were aged from 40–50, 20% aged from 51–60, 28% from 61–70, 24% from 71–80-years-old, and 10% of respondents were aged over 80. Among the examined, 12% were treated only by diet, 24% by insulin, 18% by insulin and diet. results. From among respondents cured by insulin, 52% of them administered their own injections, 36% had the injections administered by a family member, and 12% had the injections administered by a nurse. From among the patients, 70% knew the symptoms of hypo- and hyperglycaemia, 84% knew how to react in the case of hypoglycaemia, but only 56% knew how to react in the case of hyperglycaemia. From among respondents, 68% controlled the skin if the feet. conclusions. Over a half of the respondents (70% know the symptoms of diabetes and mentioned frequent urination (77% and increased thirst (65%, but 30% had no knowledge of the symptoms of diabetes. The state of the patients’ knowledge about different complications of the disease was in insufficient.

  19. Fulfilment of knowledge expectations and emotional state among people undergoing hip replacement: a multi-national survey.

    Johansson Stark, Asa; Ingadottir, Brynja; Salanterä, Sanna; Sigurdardottir, Arun; Valkeapää, Kirsi; Bachrach-Lindström, Margareta; Unosson, Mitra

    2014-11-01

    Patient education in connection with hip replacement is intended to prepare patients for surgery, discharge and postoperative recovery. Patients experience symptoms and emotions due to disease or upcoming surgery which can affect how their knowledge expectations are fulfilled. To describe the differences between received and expected knowledge in patients undergoing elective hip replacement in three Nordic countries, and to analyse how these differences are related to patients' characteristics, preoperative symptoms and emotions. A descriptive, prospective survey with two data collection points; before admission and at hospital discharge after surgery. Two Finnish, three Icelandic and two Swedish hospitals. The population consisted of patients on a waiting list for hip replacement. Of the consecutively included patients, 320 answered questionnaires both before admission and at discharge and were included in the study. The mean age of the patients was 64 years, and 55% were women. Structured questionnaires were used; the knowledge expectations of hospital patients scale and self-reported scales for symptoms and emotions before admission and received knowledge of hospital patients scale at discharge. Fulfilment of knowledge expectation was assessed by calculating the difference between received and expected knowledge with a paired sample t-test. A multiple stepwise regression model was used to explain the variance of fulfilled knowledge expectations. Patients expected more knowledge than they received (p<0.001) and 77% of them had unfulfilled knowledge expectations. Patients with a higher level of education were more likely to have unfulfilled knowledge expectations. A higher level of education was also related to a greater difference between received and expected knowledge. The difference was more correlated with patients' emotions than their symptoms. A depressive state was the major predictor of the variance in the difference between received and expected

  20. Community knowledge, attitudes, and beliefs towards depression in the state of Penang, Malaysia.

    Khan, Tahir M; Sulaiman, Syed A Syed; Hassali, Mohamed A; Anwar, Mudassir; Wasif, G; Khan, Amer H

    2010-02-01

    This study was intended to evaluate the mental health literacy vis-à-vis depression among inhabitants of Penang state in North Malaysia. Using a clustered random sampling method, 1,855 respondents were approached to participate in the survey. A total of 1,149 respondents actually participated, for a 61.9% response rate. Face to face interviews were then conducted using a pre-validated 21-item questionnaire. The mean age of the respondents was 30 years (SD +/-11.5). The majority (n = 884; 76.9%) could recognize three or more symptoms of depression. Chinese and/or female respondents performed the best in this domain. Respondents with a personal experience of depression displayed a significantly better knowledge of symptoms of and therapies for depression than those who did not (t = -35.745, P = depression and a cursory knowledge towards therapy were observed among the general population in Penang. Notably, respondents were generally inclined towards the use of alternative medicine. The study suggests that strong beliefs in alternative and traditional medicines could undermine the respondents' willingness and ability to seek evidence-based mental health care.

  1. Actual state of knowledge in the field of Supply Chain Management

    Dumitrascu Oana

    2017-01-01

    Full Text Available This paper aims to analyse the actual state of research in the field of supply chain management and to identify eventual gaps of knowledge and potential research directions in the field concerned. Concepts such as supply chain, supply chain management, procurement management, sales management, outsourcing, quality standards, key performance indicators and data visualisation are analysed and defined. Defining conceptual elements of the approached field, analysing different national and international studies, converge to identify eventual differences concerning authors’ opinion, problems, research gaps and potential research directions. It has been found that the specialty literature analyses in general subjects such as supply chain management, supplier performance, suppliers’ selection and evaluation, suppliers’ development, performance management and do not take into consideration also the supply chain management performance, so that various gaps concerning the specialty literature in the field of supply chain management performance evaluation have been identified. Causes, effects and hypothetical solutions of the identified problems have been highlighted.

  2. Distributed and Collaborative Knowledge Management Using an Ontology-Based System

    Adrian , Weronika ,; Ligęza , Antoni; Nalepa , Grzegorz ,; Kaczor , Krzysztof

    2012-01-01

    International audience; Semantic annotations and formally grounded ontologies constitute flexible yet powerful methods of knowledge representation. Using them in a system allows to perform automated reasoning and can enhance the knowledge management. In the paper, we present a system for collaborative knowledge management, in which an ontology and ontological reasoning is used. The main objective of the application is to provide information for citizens about threats in an urban environment. ...

  3. KNOWLEDGE MANAGEMENT SYSTEM AS MEANS OF MOBILIZATION OF COMPETITIVE ADVANTAGES OF THE INDUSTRIAL ENTERPRISE

    K. B. Dobrova

    2013-01-01

    Full Text Available 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.

  4. HOW ROMANIAN FINANCIAL AND INTERNAL AUDITORS ACQUIRE ACCOUNTING INFORMATION SYSTEMS KNOWLEDGE AND COMPETENCES?

    Cardos Vasile - Daniel

    2011-01-01

    Research theme - in this article we investigate how Romanian financial and internal auditors acquire accounting information systems knowledge and competences and how they use this knowledge to improve their activity in order to fulfill their mission as required by the professional standards. Objectives - our main purpose is to establish through what type of courses Romanian financial and internal auditors acquiring accounting information systems knowledge and competences and how useful these ...

  5. 9th International Conference on Knowledge, Information and Creativity Support Systems

    Papadopoulos, George; Skulimowski, Andrzej; Kacprzyk  , Janusz

    2016-01-01

    This volume consists of a number of selected papers that were presented at the 9th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2014) in Limassol, Cyprus, after they were substantially revised and extended. The 27 regular papers and 19 short papers included in this proceedings cover all aspects of knowledge management, knowledge engineering, intelligent information systems, and creativity in an information technology context, including computational creativity and its cognitive and collaborative aspects. .

  6. HOW ROMANIAN FINANCIAL AND INTERNAL AUDITORS ACQUIRE ACCOUNTING INFORMATION SYSTEMS KNOWLEDGE AND COMPETENCES?

    Cardos Vasile - Daniel

    2011-07-01

    Full Text Available Research theme in this article we investigate how Romanian financial and internal auditors acquire accounting information systems knowledge and competences and how they use this knowledge to improve their activity in order to fulfill their mission as required by the professional standards. Objectives our main purpose is to establish through what type of courses Romanian financial and internal auditors acquiring accounting information systems knowledge and competences and how useful these courses are perceived by the auditors. Prior work audit professional organizations prescribed that auditors must acquire, maintain and develop their knowledge and competences. Information technology and information systems are considered to be a main knowledge component of professional development programs. The scientific literature indicates that auditors have to enhance their information systems knowledge in order to cope with the increasing complexity of the client's entities accounting information systems. We consider that our article embraces Curtis et al. (2009 call for research on how auditors obtain information systems knowledge. Methodology an electronic questionnaire was created and sent to Romanian financial and internal auditors, which were required to indicate the number of accounting information systems course they attended and how the knowledge gained improved their activity. Results We concluded that financial auditors acquire accounting information systems knowledge mainly by attending the courses organized by the Chamber of Financial Auditors of Romanian, while internal auditors by attending the course organized by the companies they are working with. Implications - The results of this study might be used by Romanian professional audit organizations in reconsidering their priorities regarding the accounting information systems knowledge and competence needs of their constituents. Originality/Contribution Our study is the first one to

  7. A decision support system based on hybrid knowledge approach for nuclear power plant operation

    Yang, J.O.; Chang, S.H.

    1991-01-01

    This paper describes a diagnostic expert system, HYPOSS (Hybrid Knowledge Based Plant Operation Supporting System), which has been developed to support operators' decision making during the transients of nuclear power plant. HYPOSS adopts the hybrid knowledge approach which combines shallow and deep knowledge to couple the merits of both approaches. In HYPOSS, four types of knowledge are used according to the steps of diagnosis procedure: structural, functional, behavioral and heuristic knowledge. Frames and rules are adopted to represent the various knowledge types. Rule-based deduction and abduction are used for shallow and deep knowledge based reasoning respectively. The event-based operational guidelines are provided to the operator according to the diagnosed results

  8. A diagnostic expert system for NPP based on hybrid knowledge approach

    Yang, Joon On; Chang, Soon Heung

    1989-01-01

    This paper describes a diagnostic expert system, HYPOSS (Hybrid Knowledge Based Plant Operation Supporting System), which has been developed to support operators' decision making during the transients of nuclear power plant. HYPOSS adopts the hybrid knowledge approach which combines shallow and deep knowledge to couple the merits of both approaches. In HYPOSS, four types of knowledge are used according to the steps of diagnosis procedure: structural, functional, behavioral and heuristic knowledge. The structural and functional knowledge is represented by three fundamental primitives and five types of functions respectively. The behavioral knowledge is represented using constraints. The inference procedure is based on the human problem solving behavior modeled in HYPOSS. For the validation of HYPOSS, several tests have been performed based on the data produced by a plant simulator. The results of validation studies showed a good applicability of HYPOSS to the anomaly diagnosis of nuclear power plant

  9. Investigating the Implementation of Knowledge Representation in the COMBATXXI System

    2015-06-01

    Medical Sciences of the United States National Institutes of Health 6. AUTHOR(S) Mongi Bellili 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval...GM10331601 from the National Institute of General Medical Sciences of the United States National Institutes of Health . xvi THIS PAGE...Trash MortarShell TankRound RPG_Shell SodaCan Springs SteelTubes Vehicle hasDelivery Method Human DeliveryMethod Man Woman Kid Car Bike Truck Pressur

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

    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.

  11. The Role of Dissonance in Knowledge Exchange: A Case Study of a Knowlegde Management System Implementation

    Pumareja, D.T.; Sikkel, Nicolaas

    This study examines the non-adoption of a knowledge management system for knowledge exchange among a distributed group of non-life insurance experts. The users participated with enthusiasm in the design process where they provided functional and data specifications for the system. However, a few

  12. Adding Learning to Knowledge-Based Systems: Taking the "Artificial" Out of AI

    Daniel L. Schmoldt

    1997-01-01

    Both, knowledge-based systems (KBS) development and maintenance require time-consuming analysis of domain knowledge. Where example cases exist, KBS can be built, and later updated, by incorporating learning capabilities into their architecture. This applies to both supervised and unsupervised learning scenarios. In this paper, the important issues for learning systems-...

  13. Course Ontology-Based User's Knowledge Requirement Acquisition from Behaviors within E-Learning Systems

    Zeng, Qingtian; Zhao, Zhongying; Liang, Yongquan

    2009-01-01

    User's knowledge requirement acquisition and analysis are very important for a personalized or user-adaptive learning system. Two approaches to capture user's knowledge requirement about course content within an e-learning system are proposed and implemented in this paper. The first approach is based on the historical data accumulated by an…

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

    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

  15. A knowledge-based diagnosis system for welding machine problem solving

    Bonnieres, P. de; Boutes, J.L.; Calas, M.A.; Para, S.

    1986-06-01

    This paper presents a knowledge-based diagnosis system which can be a valuable aid in resolving malfunctions and failures encountered using the automatic hot-wire TIG weld cladding process. This knowledge-based system is currently under evaluation by welding operators at the Framatome heavy fabricating facility. Extension to other welding processes is being considered

  16. Key Choices in the Design of Simple Knowledge Organization System (SKOS)

    Baker, T; Bechhofer, S; Isaac, A.H.J.C.A.; Miles, A.; Schreiber, G.; Summers, E; Schreiber, Guus

    2013-01-01

    Simple Knowledge Organization System (SKOS) provides a data model and vocabulary for expressing Knowledge Organization Systems (KOSs) such as thesauri and classification schemes in Semantic Web applications. This paper presents the main components of SKOS and their formal expression in Web Ontology

  17. States of Cybersecurity: Electricity Distribution System Discussions

    Pena, Ivonne [National Renewable Energy Lab. (NREL), Golden, CO (United States); Ingram, Michael [National Renewable Energy Lab. (NREL), Golden, CO (United States); Martin, Maurice [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2017-03-16

    State and local entities that oversee the reliable, affordable provision of electricity are faced with growing and evolving threats from cybersecurity risks to our nation's electricity distribution system. All-hazards system resilience is a shared responsibility among electric utilities and their regulators or policy-setting boards of directors. Cybersecurity presents new challenges and should be a focus for states, local governments, and Native American tribes that are developing energy-assurance plans to protect critical infrastructure. This research sought to investigate the implementation of governance and policy at the distribution utility level that facilitates cybersecurity preparedness to inform the U.S. Department of Energy (DOE), Office of Energy Policy and Systems Analysis; states; local governments; and other stakeholders on the challenges, gaps, and opportunities that may exist for future analysis. The need is urgent to identify the challenges and inconsistencies in how cybersecurity practices are being applied across the United States to inform the development of best practices, mitigations, and future research and development investments in securing the electricity infrastructure. By examining the current practices and applications of cybersecurity preparedness, this report seeks to identify the challenges and persistent gaps between policy and execution and reflect the underlying motivations of distinct utility structures as they play out at the local level. This study aims to create an initial baseline of cybersecurity preparedness within the distribution electricity sector. The focus of this study is on distribution utilities not bound by the cybersecurity guidelines of the North American Electric Reliability Corporation (NERC) to examine the range of mechanisms taken by state regulators, city councils that own municipal utilities, and boards of directors of rural cooperatives.

  18. Knowledge-based operation guidance system for nuclear power plants based on generic task methodology

    Yamada, Naoyuki; Chandrasekaran, B.; Bhatnager, R.

    1989-01-01

    A knowledge-based system for operation guidance of nuclear power plants is proposed. The Dynamic Procedure Management System (DPMS) is designed and developed to assist human operators interactively by selecting and modifying predefined operation procedures in a dynamic situation. Unlike most operation guidance systems, DPMS has been built based on Generic Task Methodology, which makes the overall framework of the system perspicuous and also lets domain knowledge be represented in a natural way. This paper describes the organization of the system, the definition of each task, and the form and organization of knowledge, followed by an application example. (author)

  19. Knowledge-based software design for Defense-in-Depth risk monitor system and application for AP1000

    Ma Zhanguo; Yoshikawa, Hidekazu; Yang Ming; Nakagawa, Takashi

    2017-01-01

    As part of the new risk monitor system, the software for the plant Defense-in-Depth (DiD) risk monitor system was designed based on the state-transition and finite-state machine, and then the knowledge-based software was developed by object-oriented method utilizing the Unified Modeling Language (UML). Currently, there are mainly two functions in the developed plant DiD risk monitor software that are knowledge-base editor which is used to model the system in a hierarchical manner and the interaction simulator that simulates the interactions between the different actors in the model. In this paper, a model for playing its behavior is called an Actor which is modeled at the top level. The passive safety AP1000 power plant was studied and the small-break loss-of-coolant accident (SBLOCA) design basis accident transient is modeled using the plant DiD risk monitor software. Furthermore, the simulation result is shown for the interactions between the actors which are defined in the plant DiD risk monitor system as PLANT actor, OPERATOR actor, and SUPERVISOR actor. This paper shows that it is feasible to model the nuclear power plant knowledge base using the software modeling technique. The software can make the large knowledge base for the nuclear power plant with small effort. (author)

  20. The dynamic state monitoring of bearings system

    Marek Krynke

    2015-03-01

    Full Text Available The article discusses the methods of dynamic state monitoring of bearings system. A vibration signal contains important technical information about the machine condition and is currently the most frequently used in diagnostic bearings systems. One of the main ad-vantages of machine condition monitoring is identifying the cause of failure of the bearings and taking preventative measures, otherwise the operation of such a machine will lead to frequent replacement of the bearings. Monitoring changes in the course of the operation of machin-ery repair strategies allows keeping the conditioned state of dynamic failure conditioned preventive repairs and repairs after-failure time. In addition, the paper also presents the fundamental causes of bearing failure and identifies mechanisms related to the creation of any type of damage.