• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.592-595
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• 2004

우리는 정보통신의 발달로 인해서 정보의 호수 속에서 살고 있다. 이러한 이유로 해서 많은 사용자들은 많은 양의 정보를 빠르게 검색하기를 원한다. 본 논문에서는 이러한 요구사항을 만족하기 위해서 주기억장치 상주형 DBMS를 이용한 실시간 경량 디렉토리 접근 프로토콜 인터페이스를 제안하여 고속의 검색을 지원하고자 한다. 이를 위해서 디스크 기반의 DBMS 대신 주기억장치 상주형 DBMS를 대신하여 고속의 검색을 지원하여 응용의 변경 없이 서비스를 제공할 수 있게 해준다.

• The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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• v.4 no.1
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• pp.28-37
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• 1993

The future Personal Communication Service(PCS) is the total personal information communication service to satisfy the importance of information in a highly information - oriented society. Compared with the conventional communication method, it is necessary to provide considerable intelligence to the commu- nication network in order to implement the PCS which guarantees the mobility of each individual. Consequen- tly, the PCS needs a fast large database system which stores the information of each individual. To achieve this goal, this paper presents the parallel implementation of deductive database systems as a main - memory database system.

• Journal of Korea Spatial Information System Society
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• v.7 no.1 s.13
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• pp.25-37
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• 2005

Recently, with the development of wireless communications and mobile computing, interest about mobile computing is rising. Mobile computing can be regarded as an environment where a user carries mobile devices, such as a PDA or a notebook, and shares resources with a server computer via wireless communications. A mobile database refers to a database which is used in these mobile devices. The mobile database can be used in the fields of insurance business, banking business, medical treatment, and so on. Especially, LBS(Location Based Service) which utilizes location information of users becomes an essential field of mobile computing. In order to support LBS in the mobile environment, there must be an Embedded Spatial MMDBMS(Main-Memory Database Management System) that can efficiently manage large spatial data in spatial mobile devices. Therefore, in this paper, we designed and implemented the Embedded Spatial MMDBMS, extended from the HSQLDB which is an existing MMDBMS for PC, to manage spatial data efficiently in spatial mobile devices. The Embedded Spatial MMDBMS adopted the spatial data model proposed by ISO(International Organization for Standardization), provided the arithmetic coding method that is suitable for spatial data, and supported the efficient spatial index which uses the MBR compression and hashing method suitable for spatial mobile devices. In addition, the system offered the spatial data display capability in low-performance processors of spatial mobile devices and supported the data caching and synchronization capability for performance improvement of spatial data import/export between the Embedded Spatial MMDBMS and the GIS server.

• The Journal of Information Technology and Database
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• v.6 no.2
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• pp.71-86
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• 1999

The performance of relational database is measured by the number of disk accesses necessary to transfer data from disk to main memory. The paper proposes to vertically partition relations into fragments and to allow attribute replication to reduce the number of disk accesses. To reduce the computational time, heuristic search method using genetic algorithm is used. Genetic algorithm used employs a rank-based-sharing fitness function and elitism. Desirable parameters of genetic algorithm are obtained through experiments and used to find the solutions. Solutions of attribute replication and attribute non-replication problems are compared. Optimal solutions obtained by branch and bound method and by heuristic solutions(genetic algorithm) are also discussed. The solution method proposed is able to solve large-sized problems within acceptable time limit and shows solutions near the optimal value.

• Asia pacific journal of information systems
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• v.2 no.1
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• pp.57-76
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• 1992

Material Requirement Planning(MRP) has been the most widely implemented large scale production management system in the manufacturing industry. Computerization of MRP systems involves, in general, Bill Of Material(BOM) explosion algolithms which usually takes heavy computation time. In order to improve the effectiveness of the MRP systems, we propose to build a logical BOM database in advance, which reflects the Join operations for the BOM explosion. It reduces the response time for the BOM indented explosion. It reduces the MRP processing time. It also increased main memory utilization.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.254-256
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• 2000

전자 상거래 등에서 웹 클라이언트들은 시간이 갈수록 빠른 서비스를 요구하고 있다. 디스크 기반의 관계형 데이터베이스를 그대로 유지하면서도 빠른 응답을 가능하게 하는 방안으로, 메인 메모리 기반 데이터베이스 시스템(Main Memory-Based DBMS)을 Front- End로 사용하는 방법이 제안되고 있다. 본 논문에서는 관계형 데이터베이스 시스템에 객체-관계형 메인 메모리 기반 데이터베이스 시스템인 Tachyon[1]을 Front-End로 운용하여 성능을 개선하는 문제를 다룬다. 특히, 이 경우에 데이터 모델 상의 차이점으로 발생할 수 있는 문제를 정의하고, 그 해결책을 제시한다. 주요 내용으로는 관계 데이터베이스를 Tachyon에 적합한 객체 데이터베이스로 변환하는 기법과, 관계 질의를 객체 질의로의 변환 기법이다. 이러한 변환 기법은 관계 데이터베이스의 Front-End로 객체-관계 데이터베이스를 사용할 수 있도록 하는 연구의 출발점이 될 것이다.

• Journal of Korean Institute of Industrial Engineers
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• v.24 no.4
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• pp.661-671
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• 1998

It is important to minimize the number of disk accesses which is necessary to transfer data in disk into main memory when processing transactions in physical database design. A vertical file partitioning method is used to reduce the number of disk accesses by partitioning relations vertically and accessing only necessay fragments. In this paper, SOFM(Self-Organizing Feature Maps) network is used to solve vertical partitioning problems. This paper shows that SOFM network is efficient in solving vertical partitioning problem by comparing approximate solution of SOFM network with optimal solution of N-ary branch and bound method. And this paper presents a heuristic algorithm for allocating duplicate attributes to vertically partitioned fragments. As branch and bound method requires particularly much computing time to solve large-sized problems, it is shown that SOFM network is able to overcome this limitation of branch and bound method and solve large-sized problems efficiently in a short time.

• The Transactions of the Korea Information Processing Society
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• v.6 no.5
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• pp.1166-1176
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• 1999

The spationtemporal databases support a historical informations as well as spatial managements for various kinds of objects in the real world, and can be efficiently used in many applications such as geographic information system, urban plan system, car navigation system. However it is difficult to represent efficiently historical operations with conventional database query language for spatial objects. In terms of cost for query processing, it also degenerates performance of query processing because of syntactic limitations which is innate in conventional query representation. So in this paper, we introduce a new query language, entitled as STQL, which has been extended on the basis of the most popular relational database query language SQL. And we implement as well as evaluate a spationtemporal query processing system that get a query written by STQL and then process it in a main memory.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.557-560
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• 2008

본 논문에서는 유비쿼터스 지능형교통시스템(u-ITS: Ubiquitous Intelligent Transportation System)에서 발생하는 다량의 데이터를 실시간 저장하기 위해 메인 메모리 데이터베이스(MMDB: Main Memory Database)와 디스크 상주 데이터베이스(DRDB: Disk Resident Database)를 사용하는 시스템 구조와 RM(Rate Monotonic)를 기반으로 데이터의 발생 주기에 따라 MMDB와 DRDB에 실시간 저장하는 알고리즘을 제안한다.

• Journal of Information Processing Systems
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• v.4 no.1
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• pp.9-16
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• 2008

This paper describes the design and implementation of a two-tier DBMS for handling massive data and providing faster response time. In the present day, the main requirements of DBMS are figured out using two aspects. The first is handling large amounts of data. And the second is providing fast response time. But in fact, Traditional DBMS cannot fulfill both the requirements. The disk-oriented DBMS can handle massive data but the response time is relatively slower than the memory-resident DBMS. On the other hand, the memory-resident DBMS can provide fast response time but they have original restrictions of database size. In this paper, to meet the requirements of handling large volumes of data and providing fast response time, a two-tier DBMS is proposed. The cold-data which does not require fast response times are managed by disk storage manager, and the hot-data which require fast response time among the large volumes of data are handled by memory storage manager as snapshots. As a result, the proposed system performs significantly better than disk-oriented DBMS with an added advantage to manage massive data at the same time.