• Title/Summary/Keyword: Rule based System

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A Study on the Emotional Evaluation of fabric Color Patterns

  • Koo, Hyun-Jin;Kang, Bok-Choon;Um, Jin-Sup;Lee, Joon-Whan
    • Science of Emotion and Sensibility
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    • v.5 no.3
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    • pp.11-20
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    • 2002
  • There are Two new models developed for objective evaluation of fabric color patterns by applying a multiple regression analysis and an adaptive foray-rule-based system. The physical features of fabric color patterns are extracted through digital image processing and the emotional features are collected based on the psychological experiments of Soen[3, 4]. The principle physical features are hue, saturation, intensity and the texture of color patterns. The emotional features arc represented thirteen pairs of adverse adjectives. The multiple regression analyses and the adaptive fuzzy system are used as a tool to analyze the relations between physical and emotional features. As a result, both of the proposed models show competent performance for the approximation and the similar linguistic interpretation to the Soen's psychological experiments.

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An Interval-based Temporal Reasoning Scheme (기간변수(期間變數)에 의거한 시간추출방식)

  • Yoon, Wan-Chul
    • Journal of Korean Institute of Industrial Engineers
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    • v.16 no.2
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    • pp.63-70
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    • 1990
  • This paper presents a new temporal reasoning scheme based on explicit expression of time intervals. The proposed scheme deals with the general problem of temporal knowledge representation and temporal reasoning and may be used in rule-based systems and qualitative models. Time intervals, not time points, are defined in terms of orders and/or numbers in a quantity space. As a result, the system behavior is represented in the form of partially ordered networks. Such explicit and qualitative description of temporal quantities enables both reduction of ambiguity and parsimonious used of temporal information. Based on the proposed temporal reasoning scheme, a new rule-based qualitative simulation system is being built and evaluated.

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Rule Protecting Scheme for Snort

  • Son, Hyeong-Seo;Lee, Sung-Woon;Kim, Hyun-Sung
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2005.11a
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    • pp.259-262
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    • 2005
  • This paper addresses the problem of protecting security policies in security mechanisms, such as the detection policy of an Intrusion Detection System. Unauthorized disclosure of such information might reveal the fundamental principles and methods for the protection of the whole network. In order to avoid this risk, we suggest two schemes for protecting security policies in Snort using the symmetric cryptosystem, Triple-DES.

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Desing of Genetic Algorithms Based Optimal Fuzzy Controller and Stabilization Control of the Inverted Pendulum System (유전알고리즘에 의한 최적 퍼지 제어기의 설계와 도립전자 시스템의 안정화 제어)

  • 박정훈;김태우;임영도;소명옥;이준탁
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1996.10a
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    • pp.162-165
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    • 1996
  • In this paper, we proposed an optimization method of the membership function and the numbers of fuzzy rule base for the stabilization controller of the inverted pendulum system by genetic algorithm(GAs). Conventional methods to these problems need to an expert knowledge or human experience. The proposed genetic algorithm method will tune automatically the input-output membership parameters and will optimize their rule-base.

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Design of Rule-Based Controller for DC Motor using Fuzzy Reasoning (퍼지추론을 이용한 DC모터의 규칙기반 제어기 설계)

  • Kim, S.J.;Choi, H.S.;Choi, J.S.;Kim, Y.C.;Cho, H.
    • Proceedings of the KIEE Conference
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    • 1991.07a
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    • pp.703-707
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    • 1991
  • During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for reaserch in the applications of fuzzy set theory. A key component of the fuzzy controller is a rule-based system which provides a linguistic description of control strategy. This strategy has the form of a collection of fuzzy conditional statements which are implemented and manipulated using fuzzy set theory. In this paper, we propose the rule-based controller for DC motor speed control. The result of performance compare with PID controller to verify the validity of proposed algorithm.

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Agent-based Mobile Robotic Cell Using Object Oriented & Queuing Petri Net Methods in Distribution Manufacturing System

  • Yoo, Wang-Jin;Cho, Sung-Bin
    • Journal of Korean Society for Quality Management
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    • v.31 no.3
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    • pp.114-125
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    • 2003
  • In this paper, we deal with the problem of modeling of agent-based robot manufacturing cell. Its role is becoming increasingly important in automated manufacturing systems. For Object Oriented & Queueing Petri Nets (OO&QPNs), an extended formalism for the combined quantitative and qualitative analysis of different systems is used for structure and performance analysis of mobile robotic cell. In the case study, the OO&QPN model of a mobile robotic cell is represented and analyzed, considering multi-class parts, non-preemptive priority and alternative routing. Finally, the comparison of performance values between Shortest Process Time (SPT) rule and First Come First Serve (FCFS) rule is suggested. In general, SPT rule is most suitable for parts that have shorter processing time than others.

Modeling and Validation of Semantic Constraints for ebXML Business Process Specifications (ebXML 비즈니스 프로세스 명세를 위한 의미 제약의 모델링과 검증)

  • Kim, Jong-Woo;Kim, Hyoung-Do
    • Asia pacific journal of information systems
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    • v.14 no.1
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    • pp.79-100
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    • 2004
  • As a part of ebXML(Electronic Business using eXtensible Markup Language) framework, BPSS(Business Process Specification Schema) has been provided to support the direct specification of the set of elements required to configure a runtime system in order to execute a set of ebXML business transactions. The BPS,' is available in two stand-alone representations, a UML version and an XML version. Due to the limitations of UML notations and XML syntax, however, current ebXML BPSS specification fails to specify formal semantic constraints completely. In this study, we propose a constraint classification scheme for the BPSS specification and describe how to formally represent those semantic constraints using OCL(Object Constraint Language). As a way to validate p Business Process Specification(BPS) with the formal semantic constraints, we suggest a rule-based approach to represent the formal constraints and demonstrate its detailed mechanism for applying the rule-based constraints to the BPS with a prototype implementation.

Motion Identification using Neural Networks and Its Application to Automatic Ship Berthing under Wind

  • Im, Nam-Kyun;Kazuhiko Hasegawa
    • Journal of Ship and Ocean Technology
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    • v.6 no.1
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    • pp.16-26
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    • 2002
  • In this paper, a motion identification method using neural networks is applied to automatic ship berthing to overcome disturbance effects. Motion identification is used to estimate the effect of environmental disturbance. Two rule-based algorithms have been developed to over-come disturbance. The first rule based-algorithm was designed to overcome lateral disturbance when a ship's lateral speed is affected by it. The second rule-based algorithm was also designed to overcome longitudinal disturbance when a ship's angular velocity is changed by it. Finally, numerical simulations for automatic berthing are carried out, and the suggested control system is proved to be more practical under disturbance circumstances.

A Task Assignment Rule for the Registered Nurses of the Emergency Department of Hospital Using Multiple System Attributes (병원 응급실에서 여러 속성을 고려한 간호사 치료태스크 할당 규칙에 관한 연구)

  • Kim, Dae-Beom
    • Journal of the Korea Society for Simulation
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    • v.18 no.4
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    • pp.107-116
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    • 2009
  • Overcrowding in an Emergency Department (ED) of hospital is a common phenomenon. To improve the service quality and system performance of the ED, a task assignment rule for the Registered Nurses (RNs) is proposed in this paper. At each task assignment point, the rule prioritizes all treatment requests based on the urgency which is determined by the multiple attributes such as accomplishment time of treatment task, elapsed time of treatment request, total remain time to patient discharge, and number of remain treatments. The values of partial urgency with a single criterion are determined and then overall urgency is computed to find the most urgent one among current requests with the importance weights assigned to the criteria. Through computer simulation, the performance of the proposed rule is compared with current rule in terms of the length of stay and system throughput in a simplified ED system of the hospital M.

A Study on a Trend of Human Error Types Observed in a Simulated Computerized Nuclear Power Plant Control Room

  • Lee, Dhong Ha
    • Journal of the Ergonomics Society of Korea
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    • v.32 no.1
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    • pp.9-16
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    • 2013
  • Objective: The aim of this study is to investigate a trend of human error types observed in a series of verification and validation experiments for an Advanced Control Room(ACR) equipped with Lager Display Panel(LDP), Work Station Flat Panel Display(WS FPD), list type Alarm System(AS), Soft Control(SC) and Computerized Procedure System(CPS). Background: Operator behaviors in a fully computerized control room are quite different from those in a traditional hard-wired control room. Operators in an ACR all together monitor plant status and variables through their own interface system such as LDP and WS FPD, are notified of abnormal plant status through their own list type AS, control the plant through their own SC, and follow the structured procedure through their own CPS whereas operators in a traditional control room only separately do their duty directed by their supervisor. Especially the secondary task such as manipulating the user interface of ACR can be an extra burden to all the operators including the supervisor. Method: The Reason's human error classification method was applied to operators' behavioral data collected from a series of verification and validation experiments where operators showed their plant operational behaviors under a couple of harsh scenarios using the ACR simulator. Results: As operators accustomed to the new ACR system, knowledge or rule based mistakes appearing frequently in the early series of experiments decreased drastically in the latest stage of the series. Slip and lapse types of errors were observed throughout the series of experiments. Conclusion: Education and training can be one of the most important factors for the operators accustomed to the traditional control room to be adapted to the new system and to run the ACR successfully. Application: The results of this study implied that knowledge or rule based mistakes can be reduced by training and education but that lapse type errors might be reduced only through innovative improvement in human-system interface design or teamwork culture design including a new leadership style suitable for ACR.