• Title/Summary/Keyword: Rule-based method

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Vital Area Identification Rule Development and Its Application for the Physical Protection of Nuclear Power Plants (원자력발전소의 물리적방호를 위한 핵심구역파악 규칙 개발 및 적용)

  • Jung, Woo Sik;Hwang, Mee-Jeong;Kang, Minho
    • Journal of the Korean Society of Safety
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    • v.32 no.3
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    • pp.160-171
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    • 2017
  • US national research laboratories developed the first Vital Area Identification (VAI) method for the physical protection of nuclear power plants that is based on Event Tree Analysis (ETA) and Fault Tree Analysis (FTA) techniques in 1970s. Then, Korea Atomic Energy Research Institute proposed advanced VAI method that takes advantage of fire and flooding Probabilistic Safety Assessment (PSA) results. In this study, in order to minimize the burden and difficulty of VAI, (1) a set of streamlined VAI rules were developed, and (2) this set of rules was applied to PSA fault tree and event tree at the initial stage of VAI process. This new rule-based VAI method is explained, and its efficiency and correctness are demonstrated throughout this paper. This new rule-based VAI method drastically reduces problem size by (1) performing PSA event tree simplification by applying VAI rules to the PSA event tree, (2) calculating preliminary prevention sets with event tree headings, (3) converting the shortest preliminary prevention set into a sabotage fault tree, and (4) performing usual VAI procedure. Since this new rule-based VAI method drastically reduces VAI problem size, it provides very quick and economical VAI procedure. In spite of an extremely reduced sabotage fault tree, this method generates identical vital areas to those by traditional VAI method. It is strongly recommended that this new rule-based VAI method be applied to the physical protection of nuclear power plants and other complex safety-critical systems such as chemical and military systems.

Fuzzy Identification by means of Fuzzy Inference Method and Its Application to Wate Water Treatment System (퍼지추론 방법에 의한 퍼지동정과 하수처리공정시스템 응용)

  • 오성권;주영훈;남위석;우광방
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.6
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    • pp.43-52
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    • 1994
  • A design method of rule-based fuzzy modeling is presented for the model identification of complex and nonlinear systems. The proposed rule-based fuzzy modeling implements system structure and parameter identification in the efficient form of ``IF....,THEN...', using the theories of optimization theory , linguistic fuzzy implication rules and fuzzy c-means clustering. Three kinds of method for fuzzy modeling presented in this paper include simplified inference (type I), linear inference (type 2), and modified linear inference (type 3). In order to identify premise structure and parameter of fuzzy implication rules, fuzzy c- means clustering and modified complex method are used respectively and the least sequare method is utilized for the identification of optimum consequence parameters. Time series data for gas furance and those for sewage treatment process are used to evaluate the performance of the proposed rule-based fuzzy modeling. Comparison shows that the proposed method can produce the fuzzy model with higher accuracy than previous other studies.

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A Detection Method of Contradictory Informations in a Rule-based Inference System (규칙 기반 추론 시스템에서 모순 정보의 검출 기법에 관한 연구)

  • 우영운;한수환;박충식
    • Journal of Intelligence and Information Systems
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    • v.7 no.1
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    • pp.161-175
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    • 2001
  • In this paper, a detection method of contradiction between input informations is proposed when the inference is processed in rule-based systems. The proposed method is accomplished by improving the label representation and the label management scheme in a conventional ATMS(Assumption-based Truth Maintenance System). The Proposed method also can represent and process input informations having uncertainty values.

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Architecture of XRML-based Comparison Shopping Mall and Its Performance on Delivery Cost Estimation (XRML 기반 비교쇼핑몰의 구조와 배송비 산정에 관한 실증분석)

  • Lee Jae Kyu;Kang Juyoung
    • Journal of the Korean Operations Research and Management Science Society
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    • v.30 no.2
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    • pp.185-199
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    • 2005
  • With the growth of internet shopping malls, there is increasing interest in comparison shopping mall. However most comparison sites compare only book prices by collecting simple XML data and do not provide .the exact comparison Including precise shipping costs. Shipping costs vary depending on each customer's address, the delivery method, and the category of selected goods, so rule based system is required in order to calculate exact shipping costs. Therefore, we designed and implemented comparison shopping mall which compares not only book prices but also shipping costs using rule based inference. By adopting the extensible Rule Markup language (XRML) approach, we proposed the methodology of extracting delivery rules from Web pages of each shopping mall. The XRML approach can facilitate nearly automatic rule extraction from Web pages and consistency maintenance between Web pages and rule base. We developed a ConsiderD system which applies our rule acquisition methodology based on XRML. The objective of the ConsiderD system is to compare the exact total cost of books including the delivery cost over Amazon.com, BarnesandNoble.com, and Powells.com. With this prototype, we conducted an experiment to show the potential of automatic rule acquisition from Web pages and illustrate the effect of delivery cost.

A Hybrid of Rule based Method and Memory based Loaming for Korean Text Chunking (한국어 구 단위화를 위한 규칙 기반 방법과 기억 기반 학습의 결합)

  • 박성배;장병탁
    • Journal of KIISE:Software and Applications
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    • v.31 no.3
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    • pp.369-378
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    • 2004
  • In partially free word order languages like Korean and Japanese, the rule-based method is effective for text chunking, and shows the performance as high as machine learning methods even with a few rules due to the well-developed overt Postpositions and endings. However, it has no ability to handle the exceptions of the rules. Exception handling is an important work in natural language processing, and the exceptions can be efficiently processed in memory-based teaming. In this paper, we propose a hybrid of rule-based method and memory-based learning for Korean text chunking. The proposed method is primarily based on the rules, and then the chunks estimated by the rules are verified by memory-based classifier. An evaluation of the proposed method on Korean STEP 2000 corpus yields the improvement in F-score over the rules or various machine teaming methods alone. The final F-score is 94.19, while those of the rules and SVMs, the best machine learning method for this task, are just 91.87 and 92.54 respectively.

The Korean Text-to-speech Using Syllable Units (음절 단위를 이용한 한국어 음성 합성)

  • 김병수;윤기선;박성한
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.1
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    • pp.143-150
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    • 1990
  • In this paper, a rule-based method for improving the intelligibility of synthetic speech is proposed. A 12-pole linear prediction coding method is used to model syllable speech signals. A syllable concatenation rule for pause and frame rejection between syllables is developed to improve the naturalness of the synthetic speech. In addition, phonoligical structure transform rule and prosody rule are applied to the synthetic speech by LPC. The illustrative results demonstrate that the synthetic speech obtained by applying these rules has better naturalness than the synthetic speech by LPC.

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ECA Rule-Based Timely Collaboration of Web-Based Distributed Business Systems (웹기반 분산 기업 시스템을 위한 ECA 규칙 기반 적기 협력방법)

  • Lee, Dong-Woo;Lee, Seong-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.4 s.36
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    • pp.345-354
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    • 2005
  • In this paper collaboration of web-based distributed business systems is analyzed and the need of timely collaboration is derived and described in terms of inter-organizational contracts. A method of event-condition-action (ECA) rule based timely collaboration to meet the need and an active functionality component (AFC) to provide the method are proposed. The proposed method supports high level rule programming and event-based immediate processing so that system administrators and programmers can easily maintain the timely collaboration independently to the application logic. The proposed AFC uses HTTP protocol to be applied through firewalls. It is implemented using basic trigger facilities of a commercial DBMS for practical purpose.

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A Study of Adaptive Bone Remodeling by Cellular Automata Method (복잡계의 세포자동화법을 이용한 뼈의 적응적 재구축에 관한 연구)

  • Moon, Byung-Young;Park, Jung-Hong;Son, Kwon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.7
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    • pp.1103-1109
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    • 2003
  • An adaptive bone remodeling is simulated by using the cellular automata (CA) method. It is assumed that bone tissue consist of bone marrow, osteoclast, osteoblast cell or osteoprogenitor cell. Two types of local rule are adopted; those are the metabolism rule and adaptive bone formation rule. The metabolism rule is based on the interactions of cells and the bone formation rule is based on the adaptation against the mechanical stimulus. The history of load and memory of mechanical stimulus are also considered in the local rules. As a result, the pattern of distribution of the bone tissue is dynamically adequate and it is similar to intact cancellous bone.

Design of Rule-Based Fuzzy Controller for Activated Sludge Process in Sewage Water Treatment (하수처리 활성오니공정을 위한 규칙 베이스 퍼지 제어기 설계)

  • 황희수;김현기;오성권;우광방
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.7
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    • pp.557-565
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    • 1991
  • The activated sludge process is a commonly used method for terating sewage and waste waters. The process is chatacterized by a lack of measurement instrumentations and control goals that are not always clear and not well understood. In such process, fuzzy control concept may be able to be adapted, do this paper presents a design method for fuzzy controller based on a selected sub-rule set from the total rule set and a multivariable fuzzy reasoning algorithms. In order to achievesystematic and efficient control of the activated sludge process under a great deal of disiutbances and a variety of perfotmance characteristics, a top-level rule-based fuzzy controller os proposed which provises lower-controllers with the suitable set-points according tothe onput-output states of the process.

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Implementation of an Effective Rule Base System for the Change of Korean Vocal Sound (한국어 음운 변동 처리를 위한 효율적인 Rule Base System의 구성)

  • 이규영;이상범
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.12
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    • pp.9-18
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    • 1991
  • In this Paper, a rule-based method for the phenomenon of Korean vocal sound change is proposed. This method could be used to solve a problem between symbolic(Hangul)and phonetic language(Korean) for the study of Korean speech processing. A rule on the phenomenon of vocal sound rearranged for the rule base with a end-consonents on the authority of standard pronunciation rule. The proposed rule base system is simplified by the implementation for the vocal sound change. Also, it is useful to create the data base with phonetic value for the Korean voice processing by syllable unit.

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