• 대한조선학회논문집
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• 제51권6호
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• pp.510-520
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• 2014

Unlike other mass production in small variety, shipbuilding process is a project-based method in single variety, which causes unpredictable volatility in the planning system. In shipyards, series of manufacturing processes from fabrication to erection is sequentially carried out. In order to predict unfavorable changes such as overload or low load of working volume, computerized simulation has been being gradually adopted. The data used in the simulation are processed from the database of the main scheduling and planning system. Thus the quality of those data is very crucial for the meaningful results. Unfortunately, research on the verification of data quality is very rare and hardly known to the authors. In this work, using the database of scheduling and product information system of a large domestic shipyard, the data required for the simulation are qualitatively analyzed and verified.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 1997년도 추계학술대회 발표논문집:21세기를 향한 정보통신 기술의 전망
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• pp.303-320
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• 1997

In A institute, project managers present quarterly project performance report according to institute's law. In quarterly project performance report, progress of project performance and budget expended should be written. Progress of project performance and progress of budget expended are key management factors in A institute. Because financial database system Is already constructed, progress of budget expended is got from information system. But the progress of project performance that project manager estimate subjectively can not be judged of its correctness because there is not project management information system that is able to calculate the progress of project performance systematically. In this study, we present the project management system assign all activities to every project participator according to their work share rate using WBS(Work Breakdown Structure) and calculate the progress of project performance systematically Also we construct project management information system for above project management system implementing.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2014년도 제49차 동계학술대회논문집 22권1호
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• pp.465-466
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• 2014

국내 중소기업은 대기업에 비해 취약한 경쟁력을 보이고 이러한 격차는 점차 심화되어 왔다. 특히 중소제조업체들의 경우 제조 현장에서의 장비 도입이나 자재 등의 관리 활동에 비해 사무 현장에서의 데이터 관리 및 업무 프로세스 효율화에 상대적으로 취약하다. 이에 본 논문에서는 조선기자재 관련 중소제조업체에서의 수주관리 업무와 관련하여 적절한 데이터베이스를 설계하고 이와 연동되는 웹 기반 통합수주관리 시스템을 개발하고자 한다. 이를 통해 중소제조업체의 업무 효율성을 증대함과 동시에 일상적인 업무에서의 정보시스템 활용도를 높이고, 향후 규모가 큰 사업체로 성장했을 때 전사적자원관리(ERP) 시스템과 같은 발전된 업무 환경을 보다 용이하게 도입할 수 있는 체계를 구축할 수 있을 것으로 기대된다.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2002년도 학술발표회 발표논문집
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• pp.381-384
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• 2002

The purpose of this study is to construct an Environment Database Management System (EDMS) for the Saemangeum watershed based on the linkage of Water Quality Model, i.e. QUALKO and WASP model, and GIS database to estimate water quality effectively in this area. There are two major river systems on this study area, the Mangyeong and the Dongjin rivers. Input data are automatically generated through the calculation of the pollutant loading and inflow concentration from the point and non-point sources. The developed system is composed of three different phases, such as pre-process, model performance and post-process. The Model performance is supported by the database at pre-process phase and model performance results were shown in the graphs and attribution data at post-process phase. The measured data from the Mangyeong and the Dongjin rivers are used to evaluate the applicability of EDMS. The EDMS shows higher reliability, and it is expected to contribute to the effective management and improvement of water quality modeling in the Saemangeum watershed since the system reduces complications of using a model in DOS operating environment and increases the accuracy of water quality analysis.

• Genomics & Informatics
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• 제9권4호
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• pp.197-199
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• 2011

The biological interpretation of two-dimensional (2D) gel electrophoresis experiments is a key step toward understanding the functions of biological systems. We here present a web-based integrated database, called 2DSpotDB, for the management of proteome data derived from several pathogens. The 2DSpotDB was established as a part of the management of a pathogen proteome project at the Korea National Institute of Health. The goals of the 2DSpotDB implementation are to store and define important pathogen genes, retrieve information obtained by 2D polyacrylamide gel electrophoresis and mass spectrometry, and create an integrated system to provide pathogen proteome information for biological scientists. This database currently contains 14 gels and information on 387 protein spots, among which 329 proteins were identified and annotated.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.186-191
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• 2001

Mobile agent technologies are getting popular as means for accessing network resources efficiently. In order for mobile agents to be accepted as a reliable technology for applications such as e-commerce, a proper framework for mobile database should be established. In this paper, we first discuss weak points of current mobile computing systems that mostly result from the limitations of current mobile computing technology including frequent disconnection, limited battery capacity, low-bandwidth communication and reduced storage capacity. These weak points also have become the cause of transaction problem where mobile devices issue transactions. In order to eliminate this transaction problem in the mobile environment, we propose a mobile database framework, Proxyne, which is based on the proxy and SyncML.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1851-1852
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• 2005

We have created in our university material management environment, which uses database created by using LATEX-files, and LATEX2HTML translator and PHP language. In this paper we will define how these LATEX-files are transformed into our database. In this paper, we present work which we have done for providing the material used in the teaching of calculus to students at Lappeenranta University of Technology. This procedure can be divided into three separate steps: 1) creation of the LATEX-files, 2) implementation of these LATEX-files in 3) conversion of the base LATEX-files to the HTML-files. So far, we have stored hundreds of exercises with hints and solutions on our web server in addition to some theory that we felt is necessary for the students. In this paper we will also discuss the benefits and future of our functioning Web-environment [1].

• Journal of the Korean Data and Information Science Society
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• 제18권1호
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• pp.161-174
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• 2007

In this paper, we propose a high performance database cluster system called HyperDB to process OLAP queries efficiently. HyperDB is a virtual database system running on top of internet-connected PCs; the PCs are used for their own purpose at ordinary times, but they are able to participate in the database cluster system at non-office hours. We propose fully logical replication technique and optimal parallel intra-query routing technique for extensibility and performance. Experiment for TPC-R benchmark shows significant performance upgrade compared with conventional approaches.

• 산업경영시스템학회지
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• 제21권45호
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• pp.101-112
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• 1998

Data mining, which is also referred to as knowledge discovery in database, means a process of nontrivial extraction of implicit, previously unknown and potentially useful information (such as knowledge rules, constraints, regularities) from data in databases. The discovered knowledge can be applied to information management, decision making, and many other applications. In this paper, a new data mining problem, discovering sequential patterns, is proposed which is to find all sequential patterns using sampling method. Recognizing that the quantity of database is growing exponentially and transaction database is frequently updated, sampling method is a fast algorithm reducing time and cost while extracting the trend of customer behavior. This method analyzes the fraction of database but can in general lead to results of a very high degree of accuracy. The relaxation factor, as well as the sample size, can be properly adjusted so as to improve the result accuracy while minimizing the corresponding execution time. The superiority of the proposed algorithm will be shown through analyzing accuracy and efficiency by comparing with Apriori All algorithm.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.766-768
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• 2003

Selectivity estimation for spatial query is curial in Spatial Database Management Systems(SDBMS). Many works have been performed to estimate accurate selectivity. Although they deal with some problems such as false-count, multi-count arising from properties of spatial dataset, they can not get such effects in little memory space.* Therefore, we need to compress spatial dataset into little memory. In this paper, we propose a new technique called MW Histogram which is able to compress summary data and get reasonable results. Our method is based on two techniques:(a)MinSkew partitioning algorithm which deal with skewed spatial datasets. efficiently (b) Wavelet transformation which compression effect is proven. We evaluate our method via real datasets. The experimental result shows that the MW Histogram has the ability of providing estimates with low relative error and retaining the similar estimates even if memory space is small.