• International Journal of Knowledge Content Development & Technology
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• 제13권3호
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• pp.75-93
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• 2023

A cross sectional survey method was used to determine the utilization of e-resources and their influence on the reading culture of 119 undergraduate students registered with the JD Amin library of Federal University Dutse. The data collected was analysed using both descriptive (frequency counts and means) and inferential statistics (regression analysis). The research found that databases (mean=4.00) and e-journal (mean=4.00) are available to the undergraduate students. It further found that e-resources are often utilized by the undergraduate student, with social media (mean=4.00), databases (mean=4.00) and e-journal (mean=4.00). the most commonly used e-resources. It was also found that erratic power supply (mean=3.91) and inability to seek, obtain and evaluate information (mean=3.67) are the prominent factors hindering the utilization of e-resources. The regression analysis rejected the null hypotheses of the study where it shows that the level of utilization of e-resources have positive statistical correlation (r=0.772) with the reading culture of undergraduate students. The study proposed a conceptual model for the sustainable reading culture of students by libraries providing of e-resources. The general conclusion of the research is that e-resources are necessary tools and are moderately available and adequately utilized for influencing reading culture. The study recommended that Internet facilities should be made available to undergraduate students to facilitate more utilization of e-resources.

• Journal of Computing Science and Engineering
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• 제4권2호
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• pp.173-187
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• 2010

Recent technological advances in mobile communication systems have made explosive growth in the number of mobile device users worldwide. One of the most important issues in designing a mobile computing system is location management of users. The hierarchical systems had been proposed to solve the scalability problem in location management. The scalability problem occurs when there are too many users for a mobile system to handle, as the system is likely to react slow or even get down due to late updates of the location databases. In this paper, we propose a top-down clustering algorithm for hierarchical location database systems in a wireless network. A hierarchical location database system employs a tree structure. The proposed algorithm uses a top-down approach and utilizes the number of visits to each cell made by the users along with the movement information between a pair of adjacent cells. We then present a modified algorithm by incorporating the exhaustive method when there remain a few levels of the tree to be processed. We also propose a capacity constraint top-down clustering algorithm for more realistic environments where a database has a capacity limit. By the capacity of a database we mean the maximum number of mobile device users in the cells that can be handled by the database. This algorithm reduces a number of databases used for the system and improves the update performance. The experimental results show that the proposed, top-down, modified top-down, and capacity constraint top-down clustering algorithms reduce the update cost by 17.0%, 18.0%, 24.1%, the update time by about 43.0%, 39.0%, 42.3%, respectively. The capacity constraint algorithm reduces the average number of databases used for the system by 23.9% over other algorithms.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2000년도 추계종합학술대회
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• pp.618-622
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• 2000

해양수산연구정보센터는 해양, 수산, 해운 각 분야를 대상으로 하여 국내외에 분산되어 있는 연구정보를 체계적으로 수집 분류한 뒤 통함 연구 정보 데이터베이스를 구축하고 이를 해양 수산분야 연구자 등 이용자에게 제공할 목적으로 한국과학재단과 여수대학교의 지원으로 설립되었다. 본 논문에서는 해양수산분야의 발전을 위해 기여해야할 정보센터의 기능과 역할에 대하여 고찰하고, 이를 위해 취급하고 있는 연구 정보 내용을 중심으로 간략하게 소개함과 아울러 정보센터가 나아 가야할 방향을 설정하고저 한다.

• International Journal of Knowledge Content Development & Technology
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• 제6권1호
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• pp.41-68
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• 2016

This paper aims to analyze the function of database management systems from the perspective of librarians working in engineering institutions in Andhra Pradesh. Ninety-eight librarians from one hundred thirty engineering institutions participated in the study. The paper reveals that training by computer suppliers and software packages are the significant mode of acquiring DBMS skills by librarians; three-fourths of the librarians are postgraduate degree holders. Most colleges use database applications for automation purposes and content value. Electrical problems and untrained staff seem to be major constraints faced by respondents for managing library databases.

• Journal of Electrical Engineering and information Science
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• 제1권2호
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• pp.145-156
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• 1996

Although knowledge discovery is increasingly important in databases, the discovered knowledge sets may not be effectively used for application domains. It is partly because knowledge discovery does not take user's interests into account, and too many knowledge sets are discovered to handle efficiently. We believe that user's interests are conveyed by a query and if a nested query is concerned it may include a user's thought process. This paper describes a novel concept for discovering knowledge sets based on query processing. Knowledge discovery process is performed by: extracting features from databases, spanning features to generate range features, and constituting a knowledge set. The contributions of this paper include the following: (1) not only simple queries but also nested queries are considered to discover knowledge sets regarding user's interests and user's thought process, (2) not only positive examples (answer to a query) but also negative examples are considered to discover knowledge sets regarding database abstraction and database exceptions, and (3) finally, the discovered knowledge sets are quantified.

• 한국비블리아학회지
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• 제7권1호
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• pp.193-230
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• 1994

The systematic classification of database is much debated issue currently in telecommunication industry. Nevertheless, the attempt to build the systematic model is nowadays nowhere to be found. The purpose of this study is to gain a general overview relating to this subject and to make out a draft for the development of standard model. Relating th the study for the databases classification, it was classified from the 9 points of view： manufacturer, subject, processed form (level), (re)presented form, language, completion state and updating cycle, retrieval method, communication media, and use.

• Journal of the Korean Data and Information Science Society
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• 제15권4호
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• pp.891-898
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• 2004

An effective video indexing is required to manipulate large video databases. Most algorithms for video indexing have been commonly used histograms, edges, or motion features. In this paper, we propose an efficient algorithm using the luminance projection for video retrieval. To effectively index the video sequences and to reduce the computational complexity, we use the key frames extracted by the cumulative measure, and compare the set of key frames using the modified Hausdorff distance. Experimental results show that the proposed video indexing and video retrieval algorithm yields the higher accuracy and performance than the conventional algorithm.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2000년도 추계학술발표논문집
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• pp.299-306
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• 2000

General definition of data mining is the knowledge discovery or is to extract hidden necessary information from large databases. Its technique can be applied into decision making, prediction, and information analysis through analyzing of relationship and pattern among data. One of the most important work is to find association rules in data mining. The objective of this paper is to find customer's trend using association rule from analysis of database and the result can be used as fundamental data for CRM(Customer Relationship Management). This paper uses Apriori algorithm and FoodMart data in order to find association rules.

• 한국정보과학회논문지:데이타베이스
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• 제29권5호
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• pp.381-392
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• 2002

본 논문에서는 시계열 데이타베이스에서의 모양 기반 검색 문제에 관하여 논의한다. 모양 기반 검색은 실제 요소 값과 관계없이 질의 시퀀스와 유사한 모양을 갖는 (서브)시퀀스를 찾는 연산이다. 본 연구에서는 모양 기반 서브시퀀스 검색을 위한 새로운 기법을 제안한다. 먼저, 시프팅, 스케일링, 이동 평균, 타임 워핑 등 변환들의 다양한 조합을 지원하는 모양 기반 검색을 위하여 새로운 유사 모델을 제시한다. 또한, 이러한 유사 모델을 기반으로 하는 모양 기반 검색을 효과적으로 처리하기 위하여 효율적인 인덱싱 및 질의 처리 기법들을 제안한다. 제안된 기법의 유용성을 규명하기 위하여 실제 데이타인 S&P 500 주식 데이터를 이용한 다양한 실험을 수행한다. 실험 결과에 의하면, 제안된 기법은 질의 시퀀스의 모양과 유사한 모양을 갖는 서브시퀀스들을 성공적으로 검색할 뿐만 아니라 순차 검색 기법과 비교하여 66배까지의 상당한 성능 개선 효과를 갖는 것으로 나타났다.

• 정보관리연구
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• 제36권3호
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• pp.127-165
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• 2005

NDSL과 PubMed와 같이 연구현장에서 무료로 서비스되는 DB가 있는 주제분야에 Scopus와 WoS DB와 같은 상용 DB를 도입하기 위한 검토과정에 DB의 품질평가를 위한 연구가 필요하다. 본 연구는 선행연구 분석을 통해 품질평가기준을 추출하여 짧은 시간에 객관적으로 측정하기 쉬운 평가항목을 중심으로 발견적 실무적 비교평가를 실시한 것이다. 그 결과 NDSL은 최신성과 저널 및 주제의 포괄성과 망라성에서 우수하며, PubMed는 최신성과 MeSH 색인에서 전통을 자랑하는 의학 및 생명과학 전문 DB인 반면, Scopus는 사회 및 자연과학 분야에서 현재 1996년 이후의 인용정보를 이용자 중심 인터페이스로 쉽게 이용할 수 있고, WoS는 인용색인을 탄생시킨 전통과 명성을 자랑하지만 구독료가 고가인 관계로 폭넓은 접근이 어렵다. 따라서 인용정보가 포함된 상용 Web DB 도입의 타당성 검토와 이용자교육 및 도서관정보 서비스는 이러한 Web DB의 품질평가 결과를 바탕으로 이루어져야 보다 효율적이고 생산적인 정보 서비스가 가능하다.