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International Journal of Nuclear Knowledge Management最新文献

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Improving simulator training of NPP personnel 改进核电站人员的模拟器培训
International Journal of Nuclear Knowledge Management Pub Date : 2010-03-29 DOI: 10.1504/IJNKM.2010.032290
V. Tarykin
{"title":"Improving simulator training of NPP personnel","authors":"V. Tarykin","doi":"10.1504/IJNKM.2010.032290","DOIUrl":"https://doi.org/10.1504/IJNKM.2010.032290","url":null,"abstract":"It is common practice to have a full-scope training simulator for a specific plant or for a group of similar plants. However, use of a Full-Scope Simulator (FSS) for training is not always effective. It becomes more effective if a modular training scheme and more simple simulators are used for pre-FSS training.","PeriodicalId":188437,"journal":{"name":"International Journal of Nuclear Knowledge Management","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131242031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimised search strategies to improve structural pattern recognition techniques 优化搜索策略，提高结构模式识别技术
International Journal of Nuclear Knowledge Management Pub Date : 2010-01-25 DOI: 10.1504/IJNKM.2010.031151
A. Pereira, J. Vega, A. Portas, R. Castro, A. Murari, J. Contributors
{"title":"Optimised search strategies to improve structural pattern recognition techniques","authors":"A. Pereira, J. Vega, A. Portas, R. Castro, A. Murari, J. Contributors","doi":"10.1504/IJNKM.2010.031151","DOIUrl":"https://doi.org/10.1504/IJNKM.2010.031151","url":null,"abstract":"Data retrieval methods are based on three essential aspects: feature extraction (to reduce signal dimensionality), the classification system (to index objects according to some criteria) and similarity measures (to compare how similar two objects are); but there is not a single solution to handle these key elements. This paper provides a new solution to the localisation and extraction of similar patterns in time-series data. Alternative searches are proposed to objectively increase the recognition of similar patterns so as to achieve better results on the data retrieval. These search strategies have been studied with excellent results in the detection of long subpatterns. Long subpatterns are not very easy to identify since even a single mismatch in one character can compromise similarity between two patterns. Identifying long patterns in a fast, fault-tolerant and intelligent way is the aim of the analysed strategies, which are formally based on statistical criteria and some aspects of probability theory.","PeriodicalId":188437,"journal":{"name":"International Journal of Nuclear Knowledge Management","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122828068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study of confinements in the particle swarm optimisation for application to the nuclear reactor reload problem 粒子群优化在核反应堆重装问题中的应用研究
International Journal of Nuclear Knowledge Management Pub Date : 2010-01-25 DOI: 10.1504/IJNKM.2010.031155
Anderson Meneses, R. Schirru
{"title":"Study of confinements in the particle swarm optimisation for application to the nuclear reactor reload problem","authors":"Anderson Meneses, R. Schirru","doi":"10.1504/IJNKM.2010.031155","DOIUrl":"https://doi.org/10.1504/IJNKM.2010.031155","url":null,"abstract":"Particle Swarm Optimisation (PSO) is a metaheuristic technique based on the social aspects of intelligence. Some PSO models have been developed for combinatorial optimisation, although none of them presented satisfactory results to optimise the combinatorial problem of the Nuclear Reactor Reload Problem (NRRP). The Particle Swarm Optimisation with Random Keys (PSORK) model is a variant of the PSO applied to combinatorial problems such as the NRRP. In this paper, we present the results of the in-core fuel optimisation of the Angra 1 Nuclear Power Plant (NPP) located at the southeast of Brazil and a survey on the confinement of particles in the PSORK for the NRRP. A confinement analysis is interesting in a continuous function optimisation since it may influence the search, resulting in biases that favour particular regions of the search space. Nevertheless, there are no similar studies for confinements applied to a combinatorial optimisation. We have submitted the PSORK to a confinement analysis when applied to the Travelling Salesman Problem (TSP) Rykel48 (ry48p), a benchmark for a combinatorial optimisation, in order to study the consequences of the confined PSORK in this type of combinatorial problem. Finally, the Confinement for the Combinatorial Optimisation (CCO) of the NRRP is proposed and the results are presented.","PeriodicalId":188437,"journal":{"name":"International Journal of Nuclear Knowledge Management","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131577563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A fuzzy expert system for the human reliability analysis of crews in simulated nuclear emergency procedures 模拟核应急过程中机组人员可靠性分析的模糊专家系统
International Journal of Nuclear Knowledge Management Pub Date : 2010-01-25 DOI: 10.1504/IJNKM.2010.031154
E. Zio, P. Baraldi, M. Librizzi
{"title":"A fuzzy expert system for the human reliability analysis of crews in simulated nuclear emergency procedures","authors":"E. Zio, P. Baraldi, M. Librizzi","doi":"10.1504/IJNKM.2010.031154","DOIUrl":"https://doi.org/10.1504/IJNKM.2010.031154","url":null,"abstract":"The use of Human Reliability Analysis (HRA) for a particular safety assessment is still a difficult problem. In order to perform a comparison of the available methods, the best approach is simulation. In this regard, the pilot study proposed by the Organisation for Economic Co-operation and Development (OECD) Halden Reactor Project (HRP) is intended to provide a first guidance in HRA methods evaluation through experimental data on crew performance in simulated scenarios. The quantitative evaluation of the results of these simulations in terms of crew performance and Human Error Probabilities (HEPs) is quite a difficult task. In this paper, a fuzzy expert system for systematically assessing crew performance is presented. The feasibility of the method is proved on a case study concerning a scenario of an incomplete scram in a Boiling Water Reactor (BWR).","PeriodicalId":188437,"journal":{"name":"International Journal of Nuclear Knowledge Management","volume":"417 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134575713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Robust nuclear signal reconstruction by a novel ensemble model aggregation procedure 基于新型集成模型聚合过程的核信号鲁棒重建
International Journal of Nuclear Knowledge Management Pub Date : 2010-01-25 DOI: 10.1504/IJNKM.2010.031153
P. Baraldi, E. Zio, G. Gola, D. Roverso, M. Hoffmann
{"title":"Robust nuclear signal reconstruction by a novel ensemble model aggregation procedure","authors":"P. Baraldi, E. Zio, G. Gola, D. Roverso, M. Hoffmann","doi":"10.1504/IJNKM.2010.031153","DOIUrl":"https://doi.org/10.1504/IJNKM.2010.031153","url":null,"abstract":"Monitoring of sensor operation is important for detecting anomalies and reconstructing the correct values of the signals measured. This can be done, for example, with the aid of auto-associative regression models. However, in practical applications, difficulties arise because of the need for handling large numbers of signals. To overcome these difficulties, ensembles of reconstruction models can be used. Each model in the ensemble handles a small group of signals and the outcomes of all models are eventually combined to provide the final outcome. In this work, three different methods for aggregating the model outcomes are investigated and a novel procedure is proposed for obtaining robust ensemble-aggregated outputs. Two applications are considered concerning the reconstruction of 920 simulated signals of the Swedish Forsmark-3 Boiling Water Reactor (BWR) and 215 signals measured at the Finnish Pressurised Water Reactor (PWR) situated in Loviisa.","PeriodicalId":188437,"journal":{"name":"International Journal of Nuclear Knowledge Management","volume":"34 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114095402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
New information processing methods for control in magnetic confinement nuclear fusion 磁约束核聚变控制信息处理新方法
International Journal of Nuclear Knowledge Management Pub Date : 2010-01-25 DOI: 10.1504/IJNKM.2010.031149
A. Murari, J. Vega, G. Arcas, G. Vagliasindi, J. Contributors
{"title":"New information processing methods for control in magnetic confinement nuclear fusion","authors":"A. Murari, J. Vega, G. Arcas, G. Vagliasindi, J. Contributors","doi":"10.1504/IJNKM.2010.031149","DOIUrl":"https://doi.org/10.1504/IJNKM.2010.031149","url":null,"abstract":"Thermonuclear plasmas are complex and highly nonlinear physical objects and, therefore, are the most advanced present-day devices for the study of magnetic confinement fusion. Thousands of signals have to be acquired for each experiment in order to progress the understanding that is indispensable for the final reactor. On the other hand, the resulting massive databases, more than 40 Tbytes in the case of the Joint European Torus (JET) Joint Undertaking, pose significant problems. In this paper, solutions to reduce the sheer amount of data by different compression techniques and adaptive sampling frequency architectures are presented. As an example of methods capable of providing significant help in data analysis and real-time control, a Classification and Regression Tree (CART) software is applied to the problem of regime identification to discriminate in an automatic way whether the plasma is in the Low (L) or High (H) confinement mode.","PeriodicalId":188437,"journal":{"name":"International Journal of Nuclear Knowledge Management","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122136133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Building and maintaining a knowledge-sharing culture for nuclear knowledge transfer 建立和维护核知识转移的知识共享文化
International Journal of Nuclear Knowledge Management Pub Date : 2009-09-21 DOI: 10.1504/IJNKM.2009.028565
T. Karseka, Y. Yanev
{"title":"Building and maintaining a knowledge-sharing culture for nuclear knowledge transfer","authors":"T. Karseka, Y. Yanev","doi":"10.1504/IJNKM.2009.028565","DOIUrl":"https://doi.org/10.1504/IJNKM.2009.028565","url":null,"abstract":"This article highlights the problem of lack of willingness to share knowledge in nuclear organisations. This occurrence is widely common for different entities and business fields. The nuclear industry and nuclear power plant operating companies are not an exception. Knowledge may be considered as power, but in the context of an ageing workforce and the human resource shortage in the nuclear industry, this nonsharing attitude might lead to negative consequences. That is why a knowledge-sharing culture is essential for nuclear industry and organisational success. The paper address the interdependence between knowledge sharing, organisational culture, nuclear safety culture and human resource practices. It describes variables that influence people's willingness and readiness to share and to receive knowledge. The role of managers in establishing a knowledge-sharing culture and their actions in nuclear organisations are particularly highlighted. Some examples and practical advice are mentioned and discussed within the nuclear context.","PeriodicalId":188437,"journal":{"name":"International Journal of Nuclear Knowledge Management","volume":"164 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125957511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Preserving nuclear knowledge in CIS countries: its current status and future prospects 独联体国家保存核知识:现状和未来前景
International Journal of Nuclear Knowledge Management Pub Date : 2009-09-21 DOI: 10.1504/IJNKM.2009.028570
I. Kitaev, V. Kupriyanov, Y. Yanev
{"title":"Preserving nuclear knowledge in CIS countries: its current status and future prospects","authors":"I. Kitaev, V. Kupriyanov, Y. Yanev","doi":"10.1504/IJNKM.2009.028570","DOIUrl":"https://doi.org/10.1504/IJNKM.2009.028570","url":null,"abstract":"The continued focus of the activities of the International Atomic Energy Agency (IAEA) in managing nuclear knowledge is on supporting member states in analysing the need for nuclear knowledge preservation, estimating the current status of existing problems and suggesting the common approaches towards them. The Commonwealth of Independent States (CIS) has been a part of a larger nuclear knowledge community within the former USSR. These states now have a lot in common in terms of nuclear energy industry and especially nuclear knowledge management. A peculiar feature of the present situation is the significant amount of scientific texts and normative documents (standards, guides, methodologies, etc.) available only in Russian. In addition, most current nuclear professionals in atomic science and technology received their fundamental education in the Russian language. Given this fact, the CIS Commission for the Peaceful Use of Nuclear Energy raised the Nuclear Knowledge Management (NKM) problem and requested its secretariat to work with the IAEA to estimate the current status of the NKM problem in former USSR countries and work out a common approach to deal with it. This article refers to the IAEA publication on the topic and provides information to organisations and experts working in the field of NKM on the common approaches and possible solutions in preserving nuclear knowledge in CIS countries.","PeriodicalId":188437,"journal":{"name":"International Journal of Nuclear Knowledge Management","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126000861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A knowledge management and information portal for the Kazakhstan Atomic Energy Committee 哈萨克斯坦原子能委员会的知识管理和信息门户
International Journal of Nuclear Knowledge Management Pub Date : 2009-09-21 DOI: 10.1504/IJNKM.2009.028567
A. Kosilov, W. Mandl, Z. Pásztory, M. Gladyshev, M. Idrissova, T. Zhantikin
{"title":"A knowledge management and information portal for the Kazakhstan Atomic Energy Committee","authors":"A. Kosilov, W. Mandl, Z. Pásztory, M. Gladyshev, M. Idrissova, T. Zhantikin","doi":"10.1504/IJNKM.2009.028567","DOIUrl":"https://doi.org/10.1504/IJNKM.2009.028567","url":null,"abstract":"This paper has been prepared in close collaboration between the International Atomic Energy Agency (IAEA) Department of Technical Cooperation (TC), IAEA's International Nuclear Information System (INIS) and Nuclear Knowledge Management Section and representatives of the Kazakhstan Atomic Energy Committee (KAEC) of the Ministry of Energy and Mineral Resources of the Republic of Kazakhstan. The KAEC's knowledge management and information portal will provide a comprehensive, modern tool for integrated information and knowledge management. Implemented in several consecutive stages, it will – right from the beginning – have a positive impact on the working efficiency and reliability of the tasks performed at the KAEC by providing a set of key tools that will support the existing business model. In its final implementation stage, it will provide both the means and the incentive to replace current business procedures with a new, highly efficient, transparent and reliable approach.","PeriodicalId":188437,"journal":{"name":"International Journal of Nuclear Knowledge Management","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134399035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
The role of the international integration of nuclear education, nuclear knowledge management and education in providing the basis for the future renaissance of nuclear energy 核教育、核知识管理和教育的国际一体化在为今后的核能复兴提供基础方面的作用
International Journal of Nuclear Knowledge Management Pub Date : 2009-09-21 DOI: 10.1504/IJNKM.2009.028563
V. Murogov, M. Strikhanov, B. Tulinov
{"title":"The role of the international integration of nuclear education, nuclear knowledge management and education in providing the basis for the future renaissance of nuclear energy","authors":"V. Murogov, M. Strikhanov, B. Tulinov","doi":"10.1504/IJNKM.2009.028563","DOIUrl":"https://doi.org/10.1504/IJNKM.2009.028563","url":null,"abstract":"For Russia, nuclear technologies serve as the basis for economic, energy and political security. However, there are some challenges that significantly inhibit nuclear growth and development. One of these challenges is the shortage of qualified personnel. In the Russian nuclear sector there has been no systematic approach to workforce training and re-education until now. One of the most effective ways of solving the problems of nuclear education is to strengthen the cooperation between the universities at the national and international levels. The establishment of the most important element of the Russian nuclear educational cluster – the National Research Nuclear University (MEPhI) – is one of the initiatives that are in trend with global nuclear developments and one of the efficient solutions for some obstacles to nuclear progress in Russia.","PeriodicalId":188437,"journal":{"name":"International Journal of Nuclear Knowledge Management","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129226993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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