• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제5권2호
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• pp.59-68
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• 2016

상황 인지 서비스는 서비스 대상의 주변 상황을 인지하여 상황에 맞는 유용한 서비스를 제공한다. 규칙 기반 시스템은 상황 정보를 IF 구문으로 표현하고 상황에 따른 동작을 THEN 구문으로 표현하는 규칙을 사용하여 상황 인지 서비스를 제공할 수 있다. 본 논문에서는 스마트 사물을 위하여 메모리 사용을 최적화한 경량 규칙 엔진을 제안한다. 제안된 엔진은 규칙을 기초 연산 단위로 관리하고 계산 값을 저장하는 메모리를 최소화하였으며 해시 표를 사용하여 규칙 및 상황 정보를 효율적으로 관리한다. 실제 쥐 훈련 시스템에서 사용하는 규칙 집합을 이용하여 제안된 엔진이 기존 Rete 알고리즘에 비하여 실행 속도는 다소 느리지만 매우 작은 메모리를 사용함을 확인하였다.

• International Journal of Control, Automation, and Systems
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• 제1권3호
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• pp.321-331
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• 2003

Experimental software datasets describing software projects in terms of their complexity and development time have been the subject of intensive modeling. A number of various modeling methodologies and modeling designs have been proposed including such approaches as neural networks, fuzzy, and fuzzy neural network models. In this study, we introduce the concept of the Rule-based fuzzy polynomial neural networks (RFPNN) as a hybrid modeling architecture and discuss its comprehensive design methodology. The development of the RFPNN dwells on the technologies of Computational Intelligence (CI), namely fuzzy sets, neural networks, and genetic algorithms. The architecture of the RFPNN results from a synergistic usage of RFNN and PNN. RFNN contribute to the formation of the premise part of the rule-based structure of the RFPNN. The consequence part of the RFPNN is designed using PNN. We discuss two kinds of RFPNN architectures and propose a comprehensive learning algorithm. In particular, it is shown that this network exhibits a dynamic structure. The experimental results include well-known software data such as the NASA dataset concerning software cost estimation and the one describing software modules of the Medical Imaging System (MIS).

• 한국BIM학회 논문집
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• 제12권1호
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• pp.23-34
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• 2022

In the current 2D-based design, design reliability is lowered due to interference and inconsistency between plans, errors in drawings and quantities, etc. At the time of transition to BIM-based 3D design, it is necessary to expand the reliability and usability of BIM by eliminating these errors from the design stage through securing the quality of the BIM digital model. Therefore, in the railway infrastructure design stage, the quality management process and standards of the BIM digital model were defined and quality management index were developed. Based on the rule extracted from the quality management index, a pilot quality management was conducted in connection with the commercial Model-Checker rule, problems and improvement plans were derived, and a rule-based automated quality management plan was prepared.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.284-284
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• 2000

In adaptive fuzzy control systems. fuzzy systems are used to approximate the unknown plant nonlinearities. Until now. most of the papers in the field of controller design for nonlinear system using fuzzy systems considers the affine system with fixed grid-rule structure based on system state availability. This paper considers observer-based nonlinear controller and dynamic fuzzy rule structure. Adaptive laws for fuzzy parameters for state observer and fuzzy rule structure are established so that the whole system is stable in the sense of Lyapunov.

• 대한기관윤리심의기구협의회지
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• 제2권1호
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• pp.1-5
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• 2020

The U.S. Department of Health and Human Services and fifteen other Federal Departments and Agencies have issued final revisions to the Federal Policy for the Protection of Human Subjects (the Common Rule, 45 CFR 46, Subpart A). The Common Rule was initially promulgated in 1991 and amended in 2005. The Final Rule to update the current regulations was published in the Federal Register on 19 January 2017. The final compliance date of the revised Common Rule including the cooperative research requirement is effective on 20 January 2020 after twice to delay. The revised Common Rule aims to make more effective conduct of minimal risk research reflecting modern research activities and recognize evolving technologies, including mobile technologies, internet, and the growth in computing power. The revisions to the Common Rule were based on a variety of sources of public, stakeholder, and expert comments. The author summarized the key changes and the implications to Korean human research regulations.

• 한국통신학회논문지
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• 제12권1호
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• pp.50-59
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• 1987

많은 production rule(혹은 간단히 production)로부터 현 상태에 만족되는 rule을 빨리 찾아내기 위하여 현재까지는 RAM(Ramdom Access Memory)에 탕을 둔 필터(filter)사용등의 여러 방법에 제시되었으나, 본 연구에서는 보다 효율적인 CAM(Content Addressable Memory)의 이용을 제시하고, 이를 위해 CAM의 각 bit에 따라, 용도에 다른 구분 및 데이터 구조를 설계하고, 이를 컴퓨터 시뮬레이션을 통해 기존 RAM을 사용했을 경우와 비교하였다.

• Journal of Electrical Engineering and Technology
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• 제6권2호
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• pp.284-292
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• 2011

This paper presents a load-shedding scheme using the Talmud rule in islanded microgrid operation based on a multiagent system. Load shedding is an intentional load reduction to meet a power balance between supply and demand when supply shortages occur. The Talmud rule originating from the Talmud literature has been used in bankruptcy problems of finance, economics, and communications. This paper approaches the load-shedding problem as a bankruptcy problem. A load-shedding scheme is mathematically expressed based on the Talmud rule. For experiment of this approach, a multiagent system is constructed to operate test islanded microgrids autonomously. The suggested load-shedding scheme is tested on the test islanded microgrids based on the multiagent system. Results of the tests are discussed.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.1235-1238
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• 2003

A rule-based CAPP(computer aided process planning) system is proposed in this research to develop integrated manufacturing process of machining and inspection using OMM(On-Machine Measurement) device. Generally workpiece composed of many primitive form features. This features are determined optimum inspection sequence by analyzing the feature information such as features-relationship, probe approach direction and etc. Proposed paper is more efficient method of CAIP(computer aided inspection planning) considered machining process

• 한국지능시스템학회논문지
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• 제21권2호
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• pp.165-170
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• 2011

규칙베이스 추론과 사례베이스 추론의 협조에 의해 보다 유연한 추론을 위한 효율적인 방법의 실현이 기대된다. 본 논문에서는 MVL 오토마타 모델을 적용하여 규칙베이스와 사례 베이스의 통합 추론모델과 이에 따른 불확실성 처리 방법을 제안한다.

• 한국정밀공학회지
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• 제17권7호
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• pp.98-105
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• 2000

In this study, we developed rotating machine vibration condition monitoring system based upon Windows NT and DSP Board. Developed system includes signal analysis module, trend monitoring and simple diagnosis using threshold value. Trend analysis and report generation are offered with database management tool which was developed in MS-ACCESS environment. Post-processor, based upon Matlab, is developed for vibration signal analysis and fault detection using statistical pattern recognition scheme based upon Bayes discrimination rule and neural networks. Concerning to Bayes discrimination rule, the developed system contains the linear discrimination rule with common covariance matrices and the quadratic discrimination rule under different covariance matrices. Also the system contains k-nearest neighbor method to directly estimate a posterior probability of each class. The result of case studies with the data acquired from Pyung-tak LNG pump and experimental setup show that the system developed in this research is very effective and useful.