• 제목/요약/키워드: Information Processing Theory

검색결과 600건 처리시간 0.029초

An Information Theory-based Approach to Modeling the Information Processing of NPP Operators

  • Kim, Jong-Hyun;Seong, Poong-Hyun
    • Nuclear Engineering and Technology
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    • 제34권4호
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    • pp.301-313
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    • 2002
  • This paper proposes a quantitative approach to modeling the information processing of NPP operators. The aim of this work is to derive the amount of the information processed during a certain control task. The focus will be on i) developing a model for information processing of NPP operators and ii) quantifying the model. To resolve the problems of the previous approaches based on the information theory, i.e. the problems of single channel approaches, we primarily develop the information processing model having multiple stages, which contains information flows. Then the uncertainty of the information is quantified using the Conant’s model, 3 kind of information theory.

Multi-Level Fusion Processing Algorithm for Complex Radar Signals Based on Evidence Theory

  • Tian, Runlan;Zhao, Rupeng;Wang, Xiaofeng
    • Journal of Information Processing Systems
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    • 제15권5호
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    • pp.1243-1257
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    • 2019
  • As current algorithms unable to perform effective fusion processing of unknown complex radar signals lacking database, and the result is unstable, this paper presents a multi-level fusion processing algorithm for complex radar signals based on evidence theory as a solution to this problem. Specifically, the real-time database is initially established, accompanied by similarity model based on parameter type, and then similarity matrix is calculated. D-S evidence theory is subsequently applied to exercise fusion processing on the similarity of parameters concerning each signal and the trust value concerning target framework of each signal in order. The signals are ultimately combined and perfected. The results of simulation experiment reveal that the proposed algorithm can exert favorable effect on the fusion of unknown complex radar signals, with higher efficiency and less time, maintaining stable processing even of considerable samples.

Supplier Evaluation in Green Supply Chain: An Adaptive Weight D-S Theory Model Based on Fuzzy-Rough-Sets-AHP Method

  • Li, Lianhui;Xu, Guanying;Wang, Hongguang
    • Journal of Information Processing Systems
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    • 제15권3호
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    • pp.655-669
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    • 2019
  • Supplier evaluation is of great significance in green supply chain management. Influenced by factors such as economic globalization, sustainable development, a holistic index framework is difficult to establish in green supply chain. Furthermore, the initial index values of candidate suppliers are often characterized by uncertainty and incompleteness and the index weight is variable. To solve these problems, an index framework is established after comprehensive consideration of the major factors. Then an adaptive weight D-S theory model is put forward, and a fuzzy-rough-sets-AHP method is proposed to solve the adaptive weight in the index framework. The case study and the comparison with TOPSIS show that the adaptive weight D-S theory model in this paper is feasible and effective.

영상처리 이론 및 실습교육을 위한 통합교육시스템에 관한 연구 (The CAI systems for the image processing theory and practice)

  • 손병락;채옥삼
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1998년도 하계종합학술대회논문집
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    • pp.741-744
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    • 1998
  • In the area of the multimedia computer, the demand for the image processing engineer is large. However, there are not many engineers capable of developing practical systems. To teach practical image processing techniques, we need an intergrated education systems which can efficiently present the image processing theory and, at the same time, provide interactive experiments for the theory presented. In this paper, we propose an integrated education systems for the image processing. It consists of the theory presentation systems and the experiment systems. The theory presentation systems uspports multimedia display functions and HTML. It is tightly integrated with the experiment systems which developed based on the integrated image processing algorithm development system called Hello-vision.

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Research on Keyword-Overlap Similarity Algorithm Optimization in Short English Text Based on Lexical Chunk Theory

  • Na Li;Cheng Li;Honglie Zhang
    • Journal of Information Processing Systems
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    • 제19권5호
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    • pp.631-640
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    • 2023
  • Short-text similarity calculation is one of the hot issues in natural language processing research. The conventional keyword-overlap similarity algorithms merely consider the lexical item information and neglect the effect of the word order. And some of its optimized algorithms combine the word order, but the weights are hard to be determined. In the paper, viewing the keyword-overlap similarity algorithm, the short English text similarity algorithm based on lexical chunk theory (LC-SETSA) is proposed, which introduces the lexical chunk theory existing in cognitive psychology category into the short English text similarity calculation for the first time. The lexical chunks are applied to segment short English texts, and the segmentation results demonstrate the semantic connotation and the fixed word order of the lexical chunks, and then the overlap similarity of the lexical chunks is calculated accordingly. Finally, the comparative experiments are carried out, and the experimental results prove that the proposed algorithm of the paper is feasible, stable, and effective to a large extent.

A Study on the Dimension of Quality Metrics for Information Systems Development and Success : An Application of Information Processing Theory

  • An, Joon M.
    • 정보기술과데이타베이스저널
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    • 제3권2호
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    • pp.97-118
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    • 1996
  • Information systems quality engineering is one of the most problematic areas in practice and research, and needs cooperative efforts between practice and theory [Glass, 1996]. A model for evaluating the quality of system development process and ensuing success is proposed based on information processing theory of project unit design. A nomological net among a set of quality variables is identified from prior research in the areas of organization science, software engineering, and management information systems. More specifically, system development success was modelled as a function of project complexity, system development modelling environment, user participation, project unit structure, resource availability, and the level of iterative nature of development methodology. Based on the model developed from the information processing theory of project unit design in organization science. appropriate quality metrics for each variable in the proposed model are matched. In this way, a framework of relevant systems development and success quality metrics for controlling systems development processes and ensuing success is proposed. The causal relationships among the constructs in the proposed model are proposed as future empirical research for academicians and as managerial tools for quality managers. The framework and propositions help quality manager to select more parsimonious quality metrics for controlling information systems development processes and project success in an integrated way. Also this model can be utilized for evaluating software quality assurance programmes, which are developed and marketed by many vendors.

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레이다 정보처리용 통합 정보처리 시스템 셜계에 관한 연구 (A Study on the Design of the Radar Data Integrating System)

  • 이상웅;최진일;라극환;양기덕;조동래
    • 전자공학회논문지B
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    • 제32B권5호
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    • pp.798-811
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    • 1995
  • In this study, radar data integrating and processing systems were designed for the data processing of various information from many kinds of radar in a single data processing system. The characteristics of the data integrating system were analyzed by the system simulation with the queueing theory. The designed data integrating systems can be divided into a centralized and a distributed type. In the system structure, we used UNIX message que as the real time processor and the queueing theory for the performance evaluation of the information flow in the systems. For the analysis of the performance of inforamtion flow in both models, queueing theory was applied to and implemented with the simulation package, OPNET system and C language. From the simulation result we could understand the system factors which effect the system performance and characteristics on the data processing.

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The Impact of Crisis Responsibility and Risk Perception on Communication Behavior Intention in SNS: Dual Processing Theory

  • Lee, Eun Mi
    • Asia Marketing Journal
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    • 제19권4호
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    • pp.1-14
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    • 2018
  • Social networking service(SNS) helps users manage, share and delivery a vast information as a communication tool. When users read crisis news in SNS, they communicate the information with others by considering not only their belief (i.e., cognitive risk perception) but also emotion (i.e., affective risk perception). However, few researches have been interested in the construct of communication behaviors of crisis in SNS. This study aimed to explore the role of risk perception (cognitive and affective risk perception) between crisis responsibility and communication behavior through dual processing theory. As a result of the empirical analysis, crisis responsibility had a positive effect on cognitive risk perception and affective risk perception. In addition, cognitive risk perception had no significant effect on communication behavior whereas affective risk perception had influence on communication behavior positively. Thus, our findings may predict that the affective risk perception through crisis responsibility is more potentially important to communication behavior such as sharing information rather than cognitive risk perception. The results give insightful ideas why marketer should reduce perceived emotion caused by risk to strengthen prospective SNS users understanding of communication behavior intention.

퍼지이론을 이용한 자동문서 요약 기술 (Automatic Document Summary Technique Using Fuzzy Theory)

  • 이상훈;문승진
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제3권12호
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    • pp.531-536
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    • 2014
  • 인터넷에서 사용 가능한 수많은 정보로 인해서 대용량의 문서를 다루는 기술은 점차 그 필요성이 증가되어 왔지만, 효과적으로 문서 내 정보를 처리하기 위한 기술의 문제는 여전히 풀어야 할 과제로 남아 있다. 자동문서 요약 기술은 문서 내 중요한 부분을 유지하고, 중복된 내용을 제거함으로써 이러한 대용량의 문서를 처리하는 데 중요한 방법으로 인식되어 왔다. 본 논문에서는 이러한 요약문을 만들 때 중요도를 결정하는 문제를 해결하기 위해서 퍼지 이론을 이용한 문서 요약 기술을 제안한다. 제안된 요약 기술은 중요도를 결정하는 여러 특징들의 애매모호한 문제를 해결하고, 그 실험결과는 기존의 다른 방법과 비교해서 전반적으로 높은 결과를 보인다.

The Effect of Multiple Energy Detector on Evidence Theory Based Cooperative Spectrum Sensing Scheme for Cognitive Radio Networks

  • Khan, Muhammad Sajjad;Koo, Insoo
    • Journal of Information Processing Systems
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    • 제12권2호
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    • pp.295-309
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    • 2016
  • Spectrum sensing is an essential function that enables cognitive radio technology to explore spectral holes and resourcefully access them without any harmful interference to the licenses user. Spectrum sensing done by a single node is highly affected by fading and shadowing. Thus, to overcome this, cooperative spectrum sensing was introduced. Currently, the advancements in multiple antennas have given a new dimension to cognitive radio research. In this paper, we propose a multiple energy detector for cooperative spectrum sensing schemes based on the evidence theory. Also, we propose a reporting mechanism for multiple energy detectors. With our proposed system, we show that a multiple energy detector using a cooperative spectrum sensing scheme based on evidence theory increases the reliability of the system, which ultimately increases the spectrum sensing and reduces the reporting time. Also in simulation results, we show the probability of error for the proposed system. Our simulation results show that our proposed system outperforms the conventional energy detector system.