• 제목/요약/키워드: Knowledge generation

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Development of the Fuzzy-Based System for Stress Intensity Factor Analysis

  • Lee, Joon--Seong
    • 한국지능시스템학회논문지
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    • 제12권3호
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    • pp.255-260
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    • 2002
  • This paper describes a fuzzy-based system for analyzing the stress intensity factors (SIFs) of three-dimensional (3D) cracks. A geometry model, i.e. a solid containing one or several 3D cracks is defined. Several distributions of local node density are chosen, and then automatically superposed on one another over the geometry model by using the fuzzy knowledge processing. Nodes are generated by the bucketing method, and ten-coded quadratic tetrahedral solid elements are generated by the Delaunay triangulation techniques. The singular elements such that the mid-point nodes near crack front are shifted at the quarter-points, and these are automatically placed along the 3D crack front. The complete finite element(FE) model is generated, and a stress analysis is performed. The SIFs are calculated using the displacement extrapolation method. To demonstrate practical performances of the present system, semi-elliptical surface cracks in a inhomogeneous plate subjected to uniform tension are solved.

발전설비의 회전기기 고장진단을 위한 전문가 시스템의 구현 (Development of aFailure Diagnosis Expert System for Rotational Equipment of Generation Facilities)

  • 김창종
    • 조명전기설비학회논문지
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    • 제12권4호
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    • pp.47-54
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    • 1998
  • 발전설비에 있어 고신뢰성이 요구됨에 따라 진행되는 고장을 조기에 발견하는 예방 보전적 진단 시스템이 요구되고 있다. 본 논문에서는 발전설비 중에서 회전체의 절연진단과 진동진단에 대한 지식을 지식 베이스로 구성하고 이것을 다표정 언어를 이용하여 전문가 시스템을 구성하였다. 이 전문가 시스템은 진단 룰의 수정과 추가가 용이하며, 사용자와의 인터페이스도 양호한 구조를 취하고 있다.

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업무 양식에 근거한 객체 지향 역공학 방법론 (FORE: A Form-Driven Object-Oriented Reverse Engineering Methodology)

  • 유천수;이희석
    • Asia pacific journal of information systems
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    • 제9권1호
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    • pp.115-142
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    • 1999
  • Legacy applications are valuable assets that should be integrated into next generation business systems. To gain this advantage, progressive companies can reverse engineer the legacy business operations. This paper presents a form-driven object-oriented reverse engineering(FORE) methodology by the use of business forms to recover semantics of legacy applications. They retain the user-oriented contents of business and thus are easily understandable. Our form driven object-oriented reverse engineering methodology consists of five phases: form and usage analysis, form object slicing, object structure modeling, scenario design, and model integration. Knowledge about form structure and user interaction with legacy applications is used to capture the design semantics. An object model, which consists of an object structure model and scenario results from such form knowledge. The resulting object model is more likely to help reverse engineers understand and reuse legacy systems.

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가치 기반 수용모델에 기반한 지능형 개인비서 서비스 사용에 대한 실증 연구 (An Empirical Study on the Use of Intelligent Personal Secretary Service Based on Value-based Acceptance Model)

  • 김상현;박현선;김보라
    • 지식경영연구
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    • 제19권4호
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    • pp.99-118
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    • 2018
  • Recently, individuals are interested in a variety of products and services based on artificial intelligence. Among those products and services, an intelligent personal assistants are attracting many attention from IT companies as a next generation platform. Thus, the main purpose of this study is to investigate effects of intelligent personal assistant's benefits on user's value formation and adoption behavior based on Value-based Adoption Model. In addition, the moderating effect of personal innovativeness is examined through empirical analysis. Based on the analysis with the data from actual users, the results show that usefulness, enjoyment, technicality and cost advantage have significant influences on perceived value and correspondingly have an effect on intention to adopt. Personal innovativeness is related to the relationship between perceived value and intention to adopt. These findings may provide important insights to the relevant field regarding the use and spread of intelligent personal assistants.

R을 이용한 구조방정식모델링: 분석절차 및 방법 (Structural Equation Modeling Using R: Analysis Procedure and Method)

  • 곽기영
    • 지식경영연구
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    • 제20권1호
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    • pp.1-26
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    • 2019
  • This tutorial introduces procedures and methods for performing structural equation modeling using R. For this, we present the whole process of analyzing the structural equations model from the confirmatory factor analysis to the path diagram generation using the lavaan package, which is relatively well evaluated among the R packages supporting the structural equation modeling, together with the R program codes. Considering that research applying structural equation modeling techniques is the mainstream in a variety of social sciences, including business administration, and that there is growing interest in open source R, this tutorial focuses on researchers who are looking for alternatives to traditional commercial statistical packages and is expected that it will be a useful guidebook for them.

Research data repository requirements: A case study from universities in North Macedonia

  • Fidan Limani;Arben Hajra;Mexhid Ferati;Vladimir Radevski
    • International Journal of Knowledge Content Development & Technology
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    • 제13권1호
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    • pp.75-100
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    • 2023
  • With research data generation on the rise, Institutional Repositories (IR) are one of the tools to manage it. However, the variety of data practices across institutions, domains, communities, etc., often requires dedicated studies in order to identify the research data management (RDM) require- ments and mapping them to IR features to support them. In this study, we investigated the data practices for a few national universities in North Macedonia, including 110 participants from different departments. The methodology we adopted to this end enabled us to derive some of the key RDM requirements for a variety of data-related activities. Finally, we mapped these requirements to 6 features that our participants asked for in an IR solution: (1) create (meta)data and documentation, (2) distribute, share, and promote data, (3) provide access control, (4) store, (5) backup, and (6) archive. This list of IR features could prove useful for any university that has not yet established an IR solution.

Special Topic: The Impact of ChatGPT in Society, Business, and Academia

  • Kyoung Jun Lee;Taeho Hong;Hyunchul Ahn;Taekyung Kim;Chulmo Koo
    • Asia pacific journal of information systems
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    • 제33권4호
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    • pp.957-976
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    • 2023
  • ChatGPT has had a significant impact on society, business, and academia by influencing individuals and organizations through knowledge generation and supporting users in locating conversational inquiries and answers. It can transform how people seek answers by combining human-like conversational skills with AI. By eradicating the cumbersome process of selecting from multiple options, users can conduct preliminary research or create optimized solutions. The purpose of this research is to investigate how consumers use ChatGPT and digital transformation, specifically in terms of knowledge development, searching and recommending, and optimizing accessible possibilities. Using many linked theories, we address the potential implications and insights that can be gained from ChatGPT's early stages and its integration with other applications such as robotics, service automation, and the metaverse. Finally, the application of ChatGPT has practical, theoretical, and phenomenological impacts, in addition to improving users' experiences.

Nuclear Corrosion: Achievements and Challenges

  • Feron, Damien
    • Corrosion Science and Technology
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    • 제15권3호
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    • pp.113-119
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    • 2016
  • Corrosion science faces new challenges in various nuclear environments. Three main areas may be identified where increases of knowledge and understanding have been done and are still needed to face the technical needs: (i) the extension of the service time of nuclear power plants from 40 years, as initially planned, to 60 years and probably more as expected now, (ii) the prediction of long term behaviour of metallic materials in nuclear waste disposal where the corrosion processes have to be predicted over large periods of time, some thousands years and more, (iii) the choice of materials for use at very high temperatures as expected in Generation IV power plants in environments like gas (helium), supercritical water, liquid metals or salts. Service time extension, deep geological waste repositories and high temperature reactors sustain researches and developments to model corrosion phenomena at various scales, from atoms to components.

Next Generation Information Infrastructure and Database Service-Policy Frame and Market Development in Japan

  • Miyakawa, Takayasu
    • 한국데이타베이스학회:학술대회논문집
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    • 한국데이타베이스학회 1994년도 DB산업기술 활성화를 위한 학술대회 및 기술 심포지움
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    • pp.9-16
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    • 1994
  • Author outlines briefly developments of policies relating to telecommunication infrastructure and databases since latter half of 1970′s. There exist three phases. The first phase was from later 1970′s to 1985, which was an initial stage of electronic information service in Japan. In the second phase, 1985~1990, basic policy change made possible the privatization of telecommunication services and proliferation of database products and vendors, The third phase began in early 1990′s with downsizing in computer usage, wide-spreading information networks and rapid dissemination of personal computers. Then author describes offers on policy formation for "novel information infrastructure" and current situation concerning the "Internet" in Japan. Finally, tasks and problems for implementing new generation program for information infrastructure and database usage are pointed out, These are knowledge resource, cost, copyrights and cultural problems including language.

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Verb Pattern Based Korean-Chinese Machine Translation System

  • Kim, Changhyun;Kim, Young-Kil;Hong, Munpyo;Seo, Young-Ae;Yang, Sung-Il;Park, Sung-Kwon
    • 한국언어정보학회:학술대회논문집
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    • 한국언어정보학회 2002년도 Language, Information, and Computation Proceedings of The 16th Pacific Asia Conference
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    • pp.157-165
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    • 2002
  • This paper describes our ongoing Korean-Chinese machine translation system, which is based on verb patterns. A verb pattern consists of a source language pattern part for analysis and a target language pattern part for generation. Knowledge description on lexical level makes it easy to achieve accurate analyses and natural, correct generation. These features are very important and effective in machine translation between languages with quite different linguistic structures including Korean and Chinese. We performed a preliminary evaluation of our current system and reported the result in the paper.

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