• Title/Summary/Keyword: Design reasoning

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The development of fuzzy reasoning tool for the support design of servo system (서보 제어계 설계지원을 위한 퍼지추론 TOOL의 개발)

  • 노창주;홍순일
    • Journal of Advanced Marine Engineering and Technology
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    • v.19 no.4
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    • pp.72-78
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    • 1995
  • The diffusion of fuzzy logic techniques into real applications requires specific software supports which save development time and reduce the programming effort. But we has been lack of a tool devoted to support the design of fuzzy controllers. In this paper, on the basis of the general fuzzy set and .alpha.-cut set decomposition of fuzzy sets, a set of fuzzy reasoning tool(FRT) devoted to support the design of fuzzy dontroller for servo systems is developed. The major features of this tool are: 1) It supports users to analyze fuzzy ingerence status based on input deta and expected results by three-D graphic display. 2) It supports users to prepare input data and expected result. 3) It supports users to tuned scaling factor of membership functions, rules and fuzzy inference. The paper shows how the suggested design tools are suitable to give a consistent answer to the tuning of fuzzy control system. This FRT is expected to exert good performance and devoted to support which the design of fuzzy controller is illustrated in the servo systems.

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Design and Implementation of a Hybrid Spatial Reasoning Algorithm (혼합 공간 추론 알고리즘의 설계 및 구현)

  • Nam, Sangha;Kim, Incheol
    • Journal of KIISE
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    • v.42 no.5
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    • pp.601-608
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    • 2015
  • In order to answer questions successfully on behalf of the human contestant in DeepQA environments such as 'Jeopardy!', the American quiz show, the computer needs to have the capability of fast temporal and spatial reasoning on a large-scale commonsense knowledge base. In this paper, we present a hybrid spatial reasoning algorithm, among various efficient spatial reasoning methods, for handling directional and topological relations. Our algorithm not only improves the query processing time while reducing unnecessary reasoning calculation, but also effectively deals with the change of spatial knowledge base, as it takes a hybrid method that combines forward and backward reasoning. Through experiments performed on the sample spatial knowledge base with the hybrid spatial reasoner of our algorithm, we demonstrated the high performance of our hybrid spatial reasoning algorithm.

Dempster-Shafer Reasoning in Protection Scheme Selection (Dempster-Shafer 추론을 이용한 보호방식 선택)

  • Lee, Seung-Jae;Yang, Won-Young
    • Proceedings of the KIEE Conference
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    • 1990.07a
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    • pp.167-170
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    • 1990
  • This paper presents a preliminary study of introduction of the Dempster-Shafer inexact reasoning method to the expert system for the power system design problem. A brief review of Dempster-Shafer theory of evidence is presented and development of an inference engine adopting the Dempster-Sharer theory is reported. Developed inference engine has a ability of handling both the confirming and disconfirming knowledge represented in the production rule, and has a general purpose application in the design and diagnosis problems. Its applicability has been tested on the problem of the protection scheme selection, one of the typical design problem and we believe, it has shown the feasibility of adoption of the inexact reasoning methodology into the design problem.

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An Analysis of Mathematical Modeling Process and Mathematical Reasoning Ability by Group Organization Method (모둠 구성에 따른 수학적 모델링 과정 수행 및 수학적 추론 능력 분석)

  • An, IhnKyoung;Oh, Youngyoul
    • Journal of Elementary Mathematics Education in Korea
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    • v.22 no.4
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    • pp.497-516
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    • 2018
  • The purpose of this study is to compare the process of mathematical modeling in mathematical modeling class according to group organization, and to investigate whether it shows improvement in mathematical reasoning ability. A total of 24 classes with 3 mathematical modeling activities were designed to investigate the research problem. The result of this study showed that the heterogeneous groups performed better than the homogeneous groups in terms of both the performance ability of mathematical modeling and mathematical reasoning ability. This study implies that, with respect to group design for applying mathematical modeling in teaching mathematics, heterogeneous group design would be more efficient than homogeneous group design.

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Iterative Tuning of PID Controller by Fuzzy Indirect Reasoning and a Modified Zigler-Nichols Method (퍼지 간접추론법과 수정형 지글러-니콜스법에 의한 비례-적분-미분 제어기의 점진적 동조)

  • Kim, S.D.
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.5
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    • pp.74-83
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    • 1996
  • An iterative tuning technique is derived for PID controllers which are widely used in industries. The tuning algorithm is based upon a fuzzy indirect reasoning method and an iterative technique. The PID gains for the first tuning action are determined by a method which is modified from the Ziegler-Nichols step response method. The first PID gains are determined to obtain a control performance so close to a design performance that the following tuning process can be made effectively. The design paramaters are given as time-domain variables which human is familiar with. The results of simulation studies show that the proposed tuning method can produce an effective tuning for arbitrary design performances.

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A Study on the Explanation Scheme using Problem Solving Primitives

  • Lee, Gye Sung
    • International Journal of Advanced Culture Technology
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    • v.7 no.3
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    • pp.158-165
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    • 2019
  • Knowledge based system includes tools for constructing, testing, validating and refining the system along with user interfaces. An important issue in the design of a complete knowledge based system is the ability to produce explanations. Explanations are not just a series of rules involved in reasoning track. More detailed and explicit form of explanations is required not only for reliable reasoning but also for maintainability of the knowledge based system. This requires the explanation mechanisms to extend from knowledge oriented analysis to task oriented explanations. The explicit modeling of problem solving structures is suggested for explanation generation as well as for efficient and effective reasoning. Unlike other explanation scheme such as feedback explanation, the detailed, smaller and explicit representation of problem solving constructs can provide the system with capability of quality explanation. As a key step to development for explanation scheme, the problem solving methods are broken down into a finer grained problem solving primitives. The system records all the steps with problem solving primitives and knowledge involved in the reasoning. These are used to validate the conclusion of the consultation through explanations. The system provides user interfaces and uses specific templates for generating explanation text.

An Intelligent Cavity Layout Design System for Injection Moulds

  • Hu, Weigang;Masood, Syed
    • International Journal of CAD/CAM
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    • v.2 no.1
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    • pp.69-75
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    • 2002
  • This paper presents the development of an Intelligent Cavity Layout Design System (ICLDS) for multiple cavity injection moulds. The system is intended to assist mould designers in cavity layout design at concept design stage. The complexities and principles of cavity layout design as well as various dependencies in injection mould design are introduced. The knowledge in cavity layout design is summarized and classified. The functionality, the overall structure and general process of ICLDS are explained. The paper also discusses such issues as knowledge representation and case-based reasoning used in the development of the system. The functionality of the system is illustrated with an example of cavity layout design problem.

A Comparative Study on Scientific Reasoning Skills in Korean and the US College Students (한국과 미국 대학생들의 과학적 추론 능력에 대한 비교 연구)

  • Jeon, Woo-Soo;Kwon, Yong-Ju;Lawson, Anton E.
    • Journal of The Korean Association For Science Education
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    • v.19 no.1
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    • pp.117-127
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    • 1999
  • The present study investigated Korean and the US college students' scientific reasoning skills involving hypothesis-testing skills and tested the hypothesis that hypothesis-testing skills are more advanced ones than other scientific reasoning skills investigated in this study. Seven hundred and seventy-four(774) Korean and five hundred and sixty-eight(568) the US students were sampled in university level. The Test of Scientific Reasoning was used as a scientific reasoning test. The test is consisted of two conservational reasoning, two proportional reasoning, one pendulum, two probability reasoning, two controlling variable, one correlational reasoning, and two hypothesis-testing reasoning tasks. Korean students showed a significant higher score in proportional and probability reasoning tasks than the US students. However, the Korean showed a significant lower score in conservation and correlation reasoning tasks than their American counterparts. Further, Korean and the US college students showed a notably poor performance in hypothesis-testing skills comparing with other scientific reasoning skills, which supported the hypothesis that hypothesis-testing skills are more advanced ones than other scientific reasoning skills. In addition, the Korean showed a severe deficiency in candle-burning task which required the skill that students have to design a scientific test-procedure to test theoretical hypotheses. This study also discussed on the educational implications of the results of the present study.

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Case-Based Reasoning Method Using Case Data Base of Tall Buildings in Korea (국내 초고층 건물의 사례 데이터베이스를 이용한 사례기반추론기법)

  • Song, Hwa-Cheol;Park, Soo-Yong;Kim, Soo-Hwan
    • Journal of Korean Association for Spatial Structures
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    • v.7 no.6
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    • pp.75-82
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    • 2007
  • In this study, a design-supporting system, which is intended to assist engineers in the schematic phase of the structural design, is developed using a case database that contains design information of tall buildings in Korea. A case-based reasoning method utilizing the case database is proposed. The inductive retrieval module for selecting structural system, in the initial stage, from the design information of case database for 47 tall buildings is presented. Also, the nearest-neighbor retrieval method for selecting similar design cases is introduced.

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The Effect of Practical Reasoning Instruction in Home Economics on the Critical Thinking - Focusing on Family Relations and Resource Management - (실천적 추론 가정과 수업이 비판적 사고력에 미치는 효과 검증 - 가족관계와 자원관리 단원을 중심으로 -)

  • 변현진;채정현
    • Journal of Korean Home Economics Education Association
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    • v.14 no.3
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    • pp.1-9
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    • 2002
  • The objectives of this study were to measure the effect of Practical Reasoning Instruction in Home Economics : specifically. its effect on developing of critical thinking as well as to evaluate the degree of the critical thinking process. with reference to its sub-factors and the level. The research subjects were consisted of the experimental group of 119 freshman class female students from the “A” High School and the comparative group of 110 freshman class female student from the “C” High School in the city of Chung-Ju. This research was conducted under the pre-post test control group design. administering the Pre-Post testing to both the experimental and the comparative groups. The experimental group was subjected to Practical Reasoning Instruction in Home Economics : whereas the comparative group was taught under the lecture-Instruction in Home Economics The research findings are as follows: 1. Those who studied Home Economics under the Practical reasoning method scored higher on the critical thinking Process than the comparative group students who were taught Home Economics in the lecture-style approach. 2. The experimental group of students. who studied Home Economics under the Practical reasoning method. scored higher than the comparative group in their ability to perceive assumption and to render Judgment among the five sub-factors of their critical thinking processes.

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