The Experts below are selected from a list of 621642 Experts worldwide ranked by ideXlab platform
Jeongyon Shim - One of the best experts on this subject based on the ideXlab platform.
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a flexible intelligent associative Knowledge Structure of reticular activating system positive negative masking
Soft Computing, 2006Co-Authors: Jeongyon ShimAbstract:As the information circumstance is getting more complicated, the requirements for implementing the efficient intelligent system adopting human brain functions is getting high. We focus on the function of Reticular Activating System which takes charge of information selection.In this paper we designed Reticular Activating System with Positive/Negative masking in the associative memory and Thinking chain extraction mechanism specially implemented for flexible memory Structure. The proposed Reticular Activating system has Knowledge acquisition, selection, storing, reconfiguration and retrieving part. P/N masking mechanism for flexible memory is specially designed and tested with virtual memory.
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on off switching mechanism in Knowledge Structure of reticular activating system
Affective Computing and Intelligent Interaction, 2005Co-Authors: Jeongyon ShimAbstract:Reticular Activating system which has a form of small neural networks in the brain is closely related system with the automatic nervous system. It takes charge of the function that distinguishes between memorizing one and the others, accepts the only selected information and discards the unnecessary things.In this paper, we propose Reticular Activating system which has Knowledge acquisition, selection, storing, reconfiguration and retrieving part. In this paper, On/Off Switching mechanism for flexible memory is specially designed and tested.
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ACII - On/Off switching mechanism in Knowledge Structure of reticular activating system
Affective Computing and Intelligent Interaction, 2005Co-Authors: Jeongyon ShimAbstract:Reticular Activating system which has a form of small neural networks in the brain is closely related system with the automatic nervous system. It takes charge of the function that distinguishes between memorizing one and the others, accepts the only selected information and discards the unnecessary things.In this paper, we propose Reticular Activating system which has Knowledge acquisition, selection, storing, reconfiguration and retrieving part. In this paper, On/Off Switching mechanism for flexible memory is specially designed and tested.
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WILF - A flexible intelligent associative Knowledge Structure of reticular activating system: positive/negative masking
Fuzzy Logic and Applications, 2005Co-Authors: Jeongyon ShimAbstract:As the information circumstance is getting more complicated, the requirements for implementing the efficient intelligent system adopting human brain functions is getting high. We focus on the function of Reticular Activating System which takes charge of information selection.In this paper we designed Reticular Activating System with Positive/Negative masking in the associative memory and Thinking chain extraction mechanism specially implemented for flexible memory Structure. The proposed Reticular Activating system has Knowledge acquisition, selection, storing, reconfiguration and retrieving part. P/N masking mechanism for flexible memory is specially designed and tested with virtual memory.
Jichong Huang - One of the best experts on this subject based on the ideXlab platform.
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mapping the Knowledge Structure and trends of epilepsy genetics over the past decade a co word analysis based on medical subject headings terms
Medicine, 2019Co-Authors: Peter Galer, Xiaolu Chen, Jichong HuangAbstract:AbstractIntroduction:Over the past 10 years, epilepsy genetics has made dramatic progress. This study aimed to analyze the Knowledge Structure and the advancement of epilepsy genetics over the past decade based on co-word analysis of medical subject headings (MeSH) terms.Methods:Scientific publicati
Zhihong Wang - One of the best experts on this subject based on the ideXlab platform.
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mapping the Knowledge Structure of research on patient adherence Knowledge domain visualization based co word analysis and social network analysis
PLOS ONE, 2012Co-Authors: Juan Zhang, Jun Xie, Wanli Hou, Fujian Song, Zhihong WangAbstract:Patient adherence is an important issue for health service providers and health researchers. However, the Knowledge Structure of diverse research on treatment adherence is unclear. This study used co-word analysis and social network analysis techniques to analyze research literature on adherence, and to show their Knowledge Structure and evolution over time.
Peter Galer - One of the best experts on this subject based on the ideXlab platform.
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mapping the Knowledge Structure and trends of epilepsy genetics over the past decade a co word analysis based on medical subject headings terms
Medicine, 2019Co-Authors: Peter Galer, Xiaolu Chen, Jichong HuangAbstract:AbstractIntroduction:Over the past 10 years, epilepsy genetics has made dramatic progress. This study aimed to analyze the Knowledge Structure and the advancement of epilepsy genetics over the past decade based on co-word analysis of medical subject headings (MeSH) terms.Methods:Scientific publicati
Min Song - One of the best experts on this subject based on the ideXlab platform.
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A data-driven analysis of the Knowledge Structure of library science with full-text journal articles:
Journal of Librarianship and Information Science, 2018Co-Authors: Tatsawan Timakum, Giyeong Kim, Min SongAbstract:In previous studies, full-text analyses and mining techniques have not been combined to identify and trace changes in the Knowledge trends of library science over the past 20 years (1997–2016). Thus, to grasp the Knowledge trends of library science at a fine-grained level, this study analyzes full-text journal articles from six top-ranked library science journals by applying text-mining techniques such as co-word analysis, text summarization, and topic modeling. Visualization tools were used to map the Knowledge Structure of library science. The findings indicate that, during the past 20 years, library science has developed into an interdisciplinary Knowledge Structure that integrates librarianship topics with a range of other fields, generating major topics that include the academic library, the digital library, research methodology, library marketing, information retrieval, digital information, document citation, and so on. In the past ten years, the library science discipline has focused increasingly on research methodology and evaluation and become more concerned with digital information management.
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detecting the Knowledge Structure of bioinformatics by mining full text collections
Scientometrics, 2013Co-Authors: Min Song, Suyeon KimAbstract:Bioinformatics is a fast-growing, diverse research field that has recently gained much public attention. Even though there are several attempts to understand the field of bioinformatics by bibliometric analysis, the proposed approach in this paper is the first attempt at applying text mining techniques to a large set of full-text articles to detect the Knowledge Structure of the field. To this end, we use PubMed Central full-text articles for bibliometric analysis instead of relying on citation data provided in Web of Science. In particular, we develop text mining routines to build a custom-made citation database as a result of mining full-text. We present several interesting findings in this study. First, the majority of the papers published in the field of bioinformatics are not cited by others (63 % of papers received less than two citations). Second, there is a linear, consistent increase in the number of publications. Particularly year 2003 is the turning point in terms of publication growth. Third, most researches of bioinformatics are driven by USA-based institutes followed by European institutes. Fourth, the results of topic modeling and word co-occurrence analysis reveal that major topics focus more on biological aspects than on computational aspects of bioinformatics. However, the top 10 ranked articles identified by PageRank are more related to computational aspects. Fifth, visualization of author co-citation analysis indicates that researchers in molecular biology or genomics play a key role in connecting sub-disciplines of bioinformatics.