• Spatial Information Research
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• 제5권2호
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• pp.195-198
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• 1997

WEB기반의 환경 GIS자료 관리를 위해 JVM, JDBC, Oracle DB을 이용한다. 본 논문에서의 다루는 환경 GIS자료에는 위성, 주제도, GIS자료 등이 있으며, 이 자료는 공간 정보와 속성 정보를 가지고 DB에 존재한다. 자료의 검색은 WEB Broswer의 조회용 지도를 이용한 공간 검색과 비공간 속성 정보에 의한 검색 기능을 제공한다. 자료 등록은 WEB Broswer에서 자료 등록 시스템을 이용한다.

• 컴퓨터교육학회논문지
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• 제21권1호
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• pp.51-58
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• 2018

인공 신경망은 최근 다양한 분야에서 뛰어난 성능을 보여주고 있다. 하지만 인공 신경망이 학습한 지식이 정확히 어떤 내용인지를 사람이 파악하기 어렵다는 문제점이 존재하는데, 이를 해결하기 위한 방법 중 하나로 학습된 인공 신경망에서 규칙을 추출하는 방법들이 연구되고 있다. 본 연구에서는 학습된 인공 신경망으로부터 규칙을 추출하는 방법 중 하나인 ordered-attribute search(OAS) 알고리즘을 사용하여 인공 신경망으로부터 규칙을 추출해보고, 추출된 규칙을 개선하기 위해 규칙들을 분석하였다. 그 결과로 은닉 층의 출력값 분포가 OAS 알고리즘을 이용해 추출된 규칙의 정확도에 영향을 주는 것을 파악하였고, 은닉 유닛 명확화 기법을 통해 은닉 층 출력값을 이진화하여 효율적인 규칙을 추출할 수 있음을 제시하였다.

• 한국생활과학회지
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• 제10권1호
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• pp.41-55
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• 2001

The purpose of this study was to compare the characteristics for pattern by making a sort of various store choice behaviors and analysing impact both direct and indirect, which is based on the presentation of the influence of clothing store choice behavior into the causal relationship per store type against clothing shopping orientation, information search activity and store image attribution. The results was that consumers who like to the top brand's commodities, had commonly high tendency to and fro its trademark and store allegiance. Furthermore, they have usually bought something following on their inclination what they had purchased as well as the store decoration character and the marketing promotion attribute. The other consumers who prefer to the discount store's merchandises, had also high propensity and the biggest influence on buying something which were those factors; their instance shopping habit, utility-economy trait, follow the fashion character and strong circumspection tendency besides using the mass media Info., personal data and commodities' attribute.

• 지식경영연구
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• 제18권2호
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• pp.103-127
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• 2017

This study examines the effects of failed airline services on the consumers' psychological process and their behavioral responses. Having different classifications from the previous studies, this study focuses on dividing important factors of airline services into search attributes(e.g. sale and procedure services, services concerning flight attendant, in-flight services) and experience attributes(e.g. flight services, collateral services). Using structural equation modeling, this study shows that the failure of service factors of the experience attributes provokes the feeling of disappointment with mediation effect of external attribution while the failure of service factors of search attributes provokes the feeling of regret with mediation effect of internal attribution. Finally, disappointment leads to consumers' complaint behavior while regret leads to consumers' switching behavior. Unlike previous studies, we show that when a service failure occurs, depending on each attribute, consumers feel negative emotions of disappointment or regret through different attribution processes and finally show different behavioral responses with an empirical analysis.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 춘계학술대회 논문집
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• pp.670-674
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• 1996

In automated search of a design database to support mechanical design, it is necessaryto recognize a shape pattern which represents a design object. This paper introduces the concept of a surface relation graph (SRG) for recognizing shape patterns from a 3D boundary representation scheme of a solid model(a B-rep model). In SRG, the nodes and arcs correspond to the faces and edges shared by two adjacent faces, respectively. An attribute assigned to an arc is given by an integer which discriminates the relationship between two adjacent faces. The + sign of the integer represents the geometric convexity of the solid, and the -sign the concivity at the shared edge. The input shape is recognized by comparison with the predefined features which are subgraphs of the SRG. A hierarchyof the database for upporting the design is presented. A search for the design database is also discussed. The usefulness of this method is illustrated by some application results.

• 한국정보처리학회논문지
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• 제7권8호
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• pp.2298-2309
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• 2000

본 논문에서는 객체지향 데이터베이스의 중포속성에 대한 색인기법으로 다차원 색인구조를 이용하는 다차원 중포속성 색인기법은 MD-NAI를 제안한다. 중포석성에 대한 기존의 색인기법들은 중포된 객체에 대한 기존의 색인기법들은 B+-tree와 같은 일차원 색인구조를 이용함으로써, 클래스 계층과 중포속성이 포함된 복합 형태의 질의들에 대한 처리를 잘 지원하지 못한다. MD-NAI에서는 객체지향 데이터베이스의 클래스 계층에 대한 색인기법인 이차원 클래스 계층 색인기법(2D-CHI)을 다차원으로 확장한다. 2D-CHI는 키 속성 도메인과 클래스 식별자 도메인으로 구성된 이차원 도메인 공간상에서 객체들의 클러스터링을 다루는 색인기법이다. 본 논문의 MD-NAI에서는 색인된 중포속성을 표현하는 경로상의 각 클래스 계층마다 하나의 클래스 식별자 도메인을 할당하여 구성된 다차원 도메인 공간상에서 색인 엔트리들의 클러스터링을 다룬다. 따라서, MD-NAI에서는 기존의 색인기법에서 지원하기 어려운 질의의 대상 범위 클래스 계층상의 임의의 클래스들로 제한되거나, 질의에 포함된 복합속성들의 도메인이 클래스 계층상의 임의의 클래스들로 제한되는 경우에도 잘 지원할 수 있다.

• 한국공간정보시스템학회 논문지
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• 제5권1호
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• pp.83-89
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• 2003

실세계의 분석에서부터 3D 가상도시를 구축하는 GIS는 매우 빠르게 발전하고 있다. 3D 가상도시는 GIS 기술, 컴퓨터그래픽스 기술, 가상현실 기술, 공간 데이터베이스 기술에 의해 컴퓨터 속에 구현이 되는 도시를 말한다. 본 연구에서는 수치지도를 이용하여 실세계 지도좌표를 포함한 3차원 지형 기본맵을 구축하였다. 그리고 높이값을 가진 건물과 3차원 지형 기본맵을 통합하여 Cyber City를 구축하였다. 여기에 Server/Client 시스템을 이용하여 3차원 Cyber City 웹서비스 실시하였다. 기존의 이미지 또는 벡터 기반의 웹서비스방식보다 벡터와 이미지의 합성인 하이브리드(Hybrid)방식으로의 개선을 제안하였고, 공간검색 속성검색 기능을 제공함으로써 기존의 Web 3D 기술의 단순한 가시화의 한계를 넘어 Web 3D GIS로의 발전방향을 제시하였다.

• Journal of Computing Science and Engineering
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• 제1권2호
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• pp.177-194
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• 2007

Index selection is one of the most important decisions to take in the physical design of relational data warehouses. Indices reduce significantly the cost of processing complex OLAP queries, but require storage cost and induce maintenance overhead. Two main types of indices are available: mono-attribute indices (e.g., B-tree, bitmap, hash, etc.) and multi-attribute indices (join indices, bitmap join indices). To optimize star join queries characterized by joins between a large fact table and multiple dimension tables and selections on dimension tables, bitmap join indices are well adapted. They require less storage cost due to their binary representation. However, selecting these indices is a difficult task due to the exponential number of candidate attributes to be indexed. Most of approaches for index selection follow two main steps: (1) pruning the search space (i.e., reducing the number of candidate attributes) and (2) selecting indices using the pruned search space. In this paper, we first propose a data mining driven approach to prune the search space of bitmap join index selection problem. As opposed to an existing our technique that only uses frequency of attributes in queries as a pruning metric, our technique uses not only frequencies, but also other parameters such as the size of dimension tables involved in the indexing process, size of each dimension tuple, and page size on disk. We then define a greedy algorithm to select bitmap join indices that minimize processing cost and verify storage constraint. Finally, in order to evaluate the efficiency of our approach, we compare it with some existing techniques.

• 대한가정학회지
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• 제39권10호
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• pp.55-67
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• 2001

The purpose of this study were 1) to find out the benefits sought factors and segment the customers of internet shopping mall, 2) to find out the store image factors of internet shopping mall, and 3) to analyze the internet shopping mall market using perceptual map of segmented groups. The questionnaires dealing with attribute dimension of internet shopping mall image, benefits sought, and demographic variables were selected from the previous studies or were developed for this study. The data from 319 respondents which were collected through the internet survey site was analyzed by factor analysis, cluster analysis, one-way ANOVA, and $X^2$-test. The results of this study were as follows: 1. Benefit sought by consumer in internet shopping malls was found to include six different factors: assortments of products, search efficiency, brand/fashionability, delivery convenience, promotion service and informativeness. 2. As a result of subdividing the consumers, four distinctive groups were formed on the basis of benefit factors: multi-benefit oriented group, convenience oriented group, brand oriented group and low-benefit oriented group. Demographic traits such as education and income level were proven to significantly differentiate the benefit segments. 3. In the structural components of internet shopping-malls image, product/information, service/convenience and economy were drawn from attribute dimensions. 4. 12 perceptual maps of internet shopping mall image were constructed and each ideal vector were drawn.

• 한국생활과학회지
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• 제9권1호
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• pp.63-70
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• 2000

The purpose of this study is The results was that consumers who like to the top brand's commodities, had commonly high tendency to and fro its trademark and store allegiance. Furthermore, they have usually bought something following on their inclination what they had purchased as well as the store decoration character and the marketing promotion attribute. The other consumers who prefer to the discount store's merchandises, had also high propensity and the biggest influence on buying something which were those factors; their instance shopping habit, utility-economy trait, follow the fashion character and strong circumspection tendency besides using the mass media Info., personal data and commodities' attribute.