• Title/Summary/Keyword: 카테고리 관리

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Exploring Users' Motivation in Using Small Library (작은도서관에 대한 이용자의 이용 동기 탐색)

  • Kyoungsik Na;Yongsun Jeong
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.1
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    • pp.409-434
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    • 2023
  • A small library can be used as a place of cultural communication and educational experience for members of the local community that can fill the gaps of public libraries. In this study, the motives of users of small libraries were investigated. Semi-structured interviews were conducted with 45 users of small libraries, and their perceptions from their experiences were classified into four categories, 'attention', 'relevance', 'confidence', and 'satisfaction', and each factor was investigated. Small libraries showed that effective analysis, management, and design of factors related to the four motive classifications could further improve the opportunities of local community residents to find small libraries.

Comparative Study for Basic Protocol of High Dose Ablation Therapy (고용량 방사성옥소 치료의 기본 Protocol 비교)

  • Moon, Jae-Seung;Jeong, Hee-Il;Lee, Chi-Young
    • The Korean Journal of Nuclear Medicine Technology
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    • v.12 no.3
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    • pp.147-156
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    • 2008
  • Purpose: All acts which are enforced from the radioactive iodine therapeutic team is a in its own way principle and provision. Therefore unification of all acts can not be appropriately. We will make the standard coherence. Materials & Methods: From 5 November, 2007 to 17 November 2007, we conducted a questionnaire survey of the nuclear medicine manager of 30 hospitals. The contents of a questionnaire is medical treatment section, patient management, prosecuting attorney section, waste management and safety supervision in about the patient and a questionnaire was drawn up in the method which selects an item. Results: 30 hospital agencies are operating purely for I-131 high dose ablation therapy. Diagnostic study and daily schedule had the difference of some. The most of education for the patients took charge of doctor and nurse. The satisfaction of education was evaluated as the high thing. The safety supervision of waste management accomplishment and Safety supervision the patient and the worker observed on the basis of atomic energy law. Conclusion: Specific standards with sufficient amount of information and practical contents should have been presented through the following data. However, it seems to be lacking in many aspects. Nevertheless, respondents rated 70.9%, which is relatively high, on the value of clinical utilization, and I am very thankful for the evaluation. For many years from now, it may seem necessary for a lot of research on the specific matters based on these data to be conducted.

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Mobile App Analytics using Media Repertoire Approach (미디어 레퍼토리를 이용한 스마트폰 애플리케이션 이용 패턴 유형 분석)

  • Kwon, Sung Eun;Jang, Shu In;Hwangbo, Hyunwoo
    • The Journal of Society for e-Business Studies
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    • v.26 no.4
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    • pp.133-154
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    • 2021
  • Today smart phone is the most common media with a vehicle called 'application'. In order to understand how media users select applications and build their repertoire, this study conducted two-step approach using big data from smart phone log for 4 weeks in November 2019, and finally classified 8 media repertoire groups. Each of the eight media repertoire groups showed differences in time spent of mobile application category compared to other groups, and also showed differences between groups in demographic distribution. In addition to the academic contribution of identifying the mobile application repertoire with large scale behavioral data, this study also has significance in proposing a two-step approach that overcomes 'outlier issue' in behavioral data by extracting prototype vectors using SOM (Sefl-Organized Map) and applying it to k-means clustering for optimization of the classification. The study is also meaningful in that it categorizes customers using e-commerce services, identifies customer structure based on behavioral data, and provides practical guides to e-commerce communities that execute appropriate services or marketing decisions for each customer group.

An Exploratory Study on Risk Factor in Supply Chain (공급사슬상의 리스크 요인에 관한 탐색적 연구)

  • Shin Chang-Hoon;Jeaung Dong-Hun;Choi Min-Seung
    • Journal of Navigation and Port Research
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    • v.30 no.1 s.107
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    • pp.67-71
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    • 2006
  • This study gathered the factors of supply chain risk through literature review, and measured the importance of risk factors recognized by domestic companies. The purpose and necessity of this study are as follows. First, supply risk factors were classified and explored through empirical studies about supply chain risk. Most of the previous studies concentrated on the meaning of supply chain risk, but only in terms of concept approach Second, to evaluate the importance of supply-chain risk recognized by the companies, AHP(Analytic Hierarchy Process} method was proposed in this paper. Finally, this study suggests implications for companies' efficient supply activity by measuring the importance of supply-chain through AHP(Analytic Hierarchy Process).

Performance Evaluation on the Learning Algorithm for Automatic Classification of Q&A Documents (고객 질의 문서 자동 분류를 위한 학습 알고리즘 성능 평가)

  • Choi Jung-Min;Lee Byoung-Soo
    • The KIPS Transactions:PartD
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    • v.13D no.1 s.104
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    • pp.133-138
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    • 2006
  • Electric commerce of surpassing the traditional one appeared before the public and has currently led the change in the management of enterprises. To establish and maintain good relations with customers, electric commerce has various channels for customers that understand what they want to and suggest it to them. The bulletin board and e-mail among em are inbound information that enterprises can directly listen to customers' opinions and are different from other channels in characters. Enterprises can effectively manage the bulletin board and e-mail by understanding customers' ideas as many as possible and provide them with optimum answers. It is one of the important factors to improve the reliability of the notice board and e-mail as well as the whole electric commerce. Therefore this thesis researches into methods to classify various kinds of documents automatically in electric commerce; they are possible to solve existing problems of the bulletin board and e-mail, to operate effectively and to manage systematically. Moreover, it researches what the most suitable algorithm is in the automatic classification of Q&A documents by experiment the classifying performance of Naive Bayesian, TFIDF, Neural Network, k-NN

An Experimental Study on Feature Selection Using Wikipedia for Text Categorization (위키피디아를 이용한 분류자질 선정에 관한 연구)

  • Kim, Yong-Hwan;Chung, Young-Mee
    • Journal of the Korean Society for information Management
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    • v.29 no.2
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    • pp.155-171
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    • 2012
  • In text categorization, core terms of an input document are hardly selected as classification features if they do not occur in a training document set. Besides, synonymous terms with the same concept are usually treated as different features. This study aims to improve text categorization performance by integrating synonyms into a single feature and by replacing input terms not in the training document set with the most similar term occurring in training documents using Wikipedia. For the selection of classification features, experiments were performed in various settings composed of three different conditions: the use of category information of non-training terms, the part of Wikipedia used for measuring term-term similarity, and the type of similarity measures. The categorization performance of a kNN classifier was improved by 0.35~1.85% in $F_1$ value in all the experimental settings when non-learning terms were replaced by the learning term with the highest similarity above the threshold value. Although the improvement ratio is not as high as expected, several semantic as well as structural devices of Wikipedia could be used for selecting more effective classification features.

Traveal Information Retrieval System based on Bridge XMDR (브리지 XMDR 기반의 여행정보 검색 시스템)

  • Kim Ik-Han;Kook Yoon-Kyu;Eum Young-Hyun;Jung Kye-Dong;Choi Young-Keun
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.06c
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    • pp.103-105
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    • 2006
  • 최근 기업들은 분산된 조직과 각 조직의 목적에 따라 데이터베이스도 분산되어 있기 때문에 이들 간의 공유 및 협업을 통한 상호 운용성을 지원하기 어려우므로 일관적인 형태로 연동하기 위해서 메타데이터 수준의 표준이 필요하다. 또한 협업적인 거래환경에서의 EAI시스템은 다양한 정보 시스템에서 관리되는 지식들을 유기적으로 통합하고 공유함으로서 효율적인 검색 및 비용절감 등 많은 효과를 기대할 수 있다. 그러나 기존의 시스템은 특정 목적에 따라 관리되고 공유되므로 사실상 통합 외 공유에는 상당한 어려움이 있다. 따라서 본 논문에서 제시하는 XMDR은 온톨로지와 메타데이터 결합된 형태로 각종 표준들을 일관적인 형태로 온톨로지와 시소러스 개념을 도입함으로서 데이터수준의 정보를 통합 하기위한 메타데이터 공유 및 정보 시스템 통합의 일관성을 유지 할 수 있다. 본 논문에서 제시되는 브리지 XMDR 검색시스템은 원시데이터 계층, XMDR 계층. 브리지 XMDR 계층으로 3계층으로 구성된다. XMDR 계층은 분산된 데이터베이스의 속성표현의 표준과 관계성을 정의한 표준 온톨로지, 카테고리 분류 온틀로지, 사이트의 정보를 제공하는 로케이션 온톨로지로 구성되는 XMDR을 정의한다. 브리지 XMDR 계층은 XMDR간의 정보를 공유하기 위한 공유 도메인 속성을 추출한 하이브리드 통합방식으로 업무간의 의미적 통합이 가능하다.

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A Study on Perception of Risk Factor in Supply Chain - Focus on Distribution Center - (공급사슬에서 존재하는 위험(Risk)요소의 인지에 관한 연구 - 물류센터를 중심으로 -)

  • Shin, Chang-Hoon;Jeoung, Dong-Hun;Choi, Min-Seung
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2005.10a
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    • pp.269-274
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    • 2005
  • This study gathered the factor of supply chain risk through literature review, and measured the importance of risk factors which have been recognized by domestic companies. This study has purposes and necessities as follows. First, supply risk factors were classified and explored through positive studies about supply chain risk. Most of previous studies helps grasping the meaning of supply chain risk but limited in conceptual side. Second, this study used AHP(Analytic Hierarchy Process) method which makes decision-making problem classified, simplicated and systematized to evaluate the importance of supply-chain risk recognized by the companies. Finally, this study suggests registration-point in companies's efficient supply activity would be great by measuring the importance of supply-chain through AHP(Analytic Hierarchy Process).

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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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The Development of the Model of Information Structure for Photo Archives in University Archives (대학기록관 사진 아카이브를 위한 정보구조 모형 제안)

  • Hyewon Lee;Seunghee Han
    • Journal of Korean Society of Archives and Records Management
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    • v.23 no.1
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    • pp.101-126
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    • 2023
  • Photographic archives of universities are one of the most valuable types of records that establish the university's identity and provide historical evidence. Unlike text records, however, they are weak in conveying meanings. Therefore, it is difficult to support users' search and utilization unless the information of photo records is comprehensively described. In this study, for the university photo archives, we tried to structure the classification system of photo archives and develop a metadata set that reflects the category characteristics in the classification. To this end, the photo archives classification system and metadata elements of domestic and American university archives were analyzed and based on this, the model of information structure was proposed. The information structure model presented in this study can help university archives improve the data quality of their photo archives and support users with the abundant discovery of photo archives.