• Title/Summary/Keyword: Classification of Information System

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A Classification and Coding System for the Design Information Management in Make-to-Order Manufacturing (수주생산에서의 설계정보 관리를 위한 부품분류와 코딩)

  • 이규용;김재균;문치웅
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1998.10a
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    • pp.166-170
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    • 1998
  • Classification and Coding(C&C) systems as a core of design information management have been accomplished by many studies in terms of design and manufacturing attribute based on Group Technology. Those are very difficult to apply in make-to-order(MTO) manufacturing because the environment of MTO has various characteristics of product, many licensors, engineering change, insufficiency of integrated management system for codes and so on. This paper presents a suitable C&C system to MTO manufacturing which consider management level and drawing.

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The Improvements of the Subject Computer Science in the 4th Edition of Korean Decimal Classification (KDC 제4판 컴퓨터과학분야 전개의 개선방안)

  • Yeo, Ji-Suk;Park, Mi-Sung;Hwang, Myun;Oh, Dong-Geun
    • Journal of Korean Library and Information Science Society
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    • v.39 no.3
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    • pp.345-368
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    • 2008
  • This study investigated the general problems concerning the subject Computer Science in the KDC(Korean Decimal Classification) 4th edition based on the comparative analysis with DDC, NDC, Disciplinary Classification System of Korean Research Foundation and National Standard Science and Technology Classification and Science and Technology Classification of Korea Science and Engineering Foundation, and suggested some ideas for the improvements of them. The subject of Computer science in the KDC 4th edition will be helpful to be improved to integrate in classes 004-005 now separated into two main classes of 000(004-005) and 500(566) in KDC4, to systematize subdivisions, to add new subjects, to delete and relocate some inappropriate subjects and to add notes.

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A Study on the Improvements of the Design Field in the 6th Edition of the Korean Decimal Classification (KDC) (KDC 제6판 디자인학 분야 개선방안에 관한 연구)

  • Kim, Soojung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.3
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    • pp.53-72
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    • 2013
  • For the purpose of improving the Korean Decimal Classification (KDC) in the design field, this study investigated the classification systems of design research suggested in previous studies and compared KDC, DDC, LCC, and NDC. The problems identified from the current KDC include lack of subdivisions regarding basic design theories and major design application fields and the absence of notes for explaining the scope of each design field. To solve these problems, this study suggested improvements for design theories, graphic design, industrial design, and environmental design.

A Study on the Classification Schemes of Children's Libraries in Korea (국내 어린이도서관의 분류표 현황 분석에 관한 연구)

  • Kim, Jeong-Hyen;Moon, Ji-Hyun
    • Journal of Korean Library and Information Science Society
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    • v.38 no.2
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    • pp.315-335
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    • 2007
  • This study suggests basic principals and requirements for future development of children's library classification scheme Until now there is no standardized children's library classification system, thereby librarians as well as library users have to go through many troubles. Therefore this study researched current conditions of children's libraries In Korea and analyzed the types and characteristics of children's books. This study reviewed children's book classification systems and how these systems are being used in three different library system: public and Inpyo Children's Library, Miracle Library, and private children's libraries. This study conducted in-depth research on two notable children's book classification systems of Neutinamu Children's Library and Parangsae Children's Library. This study suggests basic principals and requirements for children's library classification scheme, based on researches described above.

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A Study on Development of Policy Attributes Taxonomy for Data-based Decision Making (데이터기반 의사결정을 위한 정책 및 사업 속성 분류체계 개발 연구)

  • Kim, Sarang
    • The Journal of Information Systems
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    • v.29 no.3
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    • pp.1-34
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    • 2020
  • Purpose Due to the complexity of policy environment in modern society, it is accepted as common basics of policy design to mix up a variety of policy instruments aiming the multiple functions. However, under the current situation of written-down policy specification, not only the public officers but also the policy researchers cannot easily grasp such frameworks as policy portfolio. The purpose of this study is to develop "Policy Attributes Taxonomy" identifying and classifying the public programs to help making decisions for allocative efficiency with effectiveness-based information. Design/methodology/approach To figure out the main scheme and classification criteria of Policy Attributes Taxonomy which represents characteristics of public policies, previous theories and researches on policy components were explored. In addition, to test taxonomic feasibility of certain information system, a set of "Feasibility Standards" was drawn from "requirements for well-organized criteria" of eminent taxonomy literatures. Finally, current government classification system in the area of social service was tested to visualize the application of Taxonomy and Standards. Findings Program Taxonomy Schemes were set including "policy goals", "policy targets", "policy tools", "logical relation" and "delivery system". Each program and project could be condensed into these attributes, making their design more easily distinguishable. Policy portfolio could be readily made out by extracting certain characteristics according to this scheme. Moreover, this taxonomy could be used for rearrangement of present "Program Budget System" or estimation of "Basic Income".

An Hybrid Approach to Improve the Standard Classification System in the Domains of Economics, Humanities, and Social Science (하이브리드 방식에 의한 경제.인문.사회 분야 표준분류체계 개선에 관한 연구)

  • Chung, Eun-Kyung;Park, Ji-Yeon
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.20 no.3
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    • pp.129-147
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    • 2009
  • The ultimate goal of classification systems is to provide tools for information management and services through collocation of information objects in similar topics. The National Research Council for Economics, Humanities, and Social Sciences(NRCS) aims to organize the research products from 23 research institutes. To manage and organize the research products effectively, the standard classification system has been developed in conjunction of users' survey and the Business Reference Model(BRM). Although the standard classification system consists of users' perspectives and the aspects of organizational functions, there are limits to apply the system into classification practices. In this study, the proposed hybrid approach is to combine a clustering approach with 1,884 keywords from the titles of research products between 2007 and 2008. The clustering approach is performed in a heuristic way according to the KDC due to the lack of digital full texts of research products. The results of this study proposed a revised standard classification system for NRCS with 16 headings and 90 sub-headings. The revised standard classification system will play an important role in managing research products effectively.

Lost and Found Registration and Inquiry Management System for User-dependent Interface using Automatic Image Classification and Ranking System based on Deep Learning (딥 러닝 기반 이미지 자동 분류 및 랭킹 시스템을 이용한 사용자 편의 중심의 유실물 등록 및 조회 관리 시스템)

  • Jeong, Hamin;Yoo, Hyunsoo;You, Taewoo;Kim, Yunuk;Ahn, Yonghak
    • Convergence Security Journal
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    • v.18 no.4
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    • pp.19-25
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    • 2018
  • In this paper, we propose an user-centered integrated lost-goods management system through a ranking system based on weight and a hierarchical image classification system based on Deep Learning. The proposed system consists of a hierarchical image classification system that automatically classifies images through deep learning, and a ranking system modules that listing the registered lost property information on the system in order of weight for the convenience of the query process.In the process of registration, various information such as category classification, brand, and related tags are automatically recognized by only one photograph, thereby minimizing the hassle of users in the registration process. And through the ranking systems, it has increased the efficiency of searching for lost items by exposing users frequently visited lost items on top. As a result of the experiment, the proposed system allows users to use the system easily and conveniently.

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Analysis of Word Based Classification of U.S. Public Libraries and its Implications (주제어 기반 분류에 관한 연구 - 미국 공공도서관의 사례를 중심으로 -)

  • Baek, Ji-Won
    • Journal of the Korean Society for Library and Information Science
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    • v.44 no.4
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    • pp.179-201
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    • 2010
  • This study aims to analyze the word based classification used in U.S. public libraries and their implications for Korean libraries. For this purpose, eleven U.S. public libraries using the word based classification system were selected and the specific classification types, their motivation, collection size, methods used in the conversion from DDC, and pros and cons were examined. The result of the analysis shows that the word based classification system may be categorized into the two types: Dewey-free or Dewey-lite and its application methods are different case by case. As a result, the positive impacts and implied problems of the word based classification system for library use and library operation were examined. In addition, the new system's implications on the Korean libraries were also discussed.

A Study on the Dewey's 'Three Genetic Paper' (듀이 십진분류법(DDC)의 기원론에 대한 연구)

  • Nam, Tae-Woo
    • Journal of the Korean Society for Library and Information Science
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    • v.42 no.1
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    • pp.335-358
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    • 2008
  • According to Wayne A. Wiegand in the 1998, he research to The "Amherst Method": The Origins of the Dewey Decimal Classification Scheme. Although a debate about the origins of the Dewey Decimal Classification Scheme has been going on for generations, historical consensus remains elusive. This paper contributes information to the historiography on the origins of the scheme: 1) by grounding an account of Dewey's thinking as he was crafting the DDC on an analysis of a large body of sources than previous classification historians have consulted; and 2) by expanding and deepening historical understanding of the contextual forces influencing on the classification structure. Because the DDC idea as it first occurred to M. Dewey in Amherst in 1872-73 is an important in the history of library development in the world. He outlined the first draft of his decimal scheme and submitted it to the Amherst College Library Committee on 8 May 1873. This paper analysis to "Three Genetic Paper", that is 1) The Merits of the System, 2) Library Classification System, 3) Its Special Adaption to our Library.

Fuzzy-based Threshold Controlling Method for ART1 Clustering in GPCR Classification (GPCR 분류에서 ART1 군집화를 위한 퍼지기반 임계값 제어 기법)

  • Cho, Kyu-Cheol;Ma, Yong-Beom;Lee, Jong-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.6
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    • pp.167-175
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    • 2007
  • Fuzzy logic is used to represent qualitative knowledge and provides interpretability to a controlling system model in bioinformatics. This paper focuses on a bioinformatics data classification which is an important bioinformatics application. This paper reviews the two traditional controlling system models The sequence-based threshold controller have problems of optimal range decision for threshold readjustment and long processing time for optimal threshold induction. And the binary-based threshold controller does not guarantee for early system stability in the GPCR data classification for optimal threshold induction. To solve these problems, we proposes a fuzzy-based threshold controller for ART1 clustering in GPCR classification. We implement the proposed method and measure processing time by changing an induction recognition success rate and a classification threshold value. And, we compares the proposed method with the sequence-based threshold controller and the binary-based threshold controller The fuzzy-based threshold controller continuously readjusts threshold values with membership function of the previous recognition success rate. The fuzzy-based threshold controller keeps system stability and improves classification system efficiency in GPCR classification.

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