• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.8B
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• pp.716-729
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• 2006

The information systems in the most enterprise environments are distributed locally and are comprised with various heterogeneous data sources, so that it is difficult to obtain necessary and integrated information for supporting user decision. For solving 'this problems efficiently, it provides uniform interface to users and constructed database systems between heterogeneous systems make a consistence each independence and need to provide transparency like one interface. This paper presents XMDR that consists of category, standard ontology, location ontology and knowledge base. Standard ontology solves heterogeneous problem about naming, attributes, relations in data expression. Location ontology is a mediator that connects each legacy systems. Knowledge base defines the relation for sharing glossary. Adaptive retrieve proposes integrated retrieve system through reflecting site weight by location ontology, information sharing of various forms of knowledge base and integration and propose conceptual domain model about how to share unstructured knowledge.

• The Korean Journal of Applied Statistics
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• v.22 no.1
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• pp.1-16
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• 2009

Recently, most companies are speeding up the movement of modeling and strategically applying IDI (Integration Database Information). This is due to the fact that CRM (Customer Relationship Management) representing communication and relation maintenance with customers, has been raised one of the most important issues for companies. From this point of view, this study is to develop the scoring campaign system connect-ing customer scoring model to marketing layer through data mining techniques which are the core factor for CRM. This developed system makes users easily choose the target customers as well as easily obtain customer scoring results under GUI circumstances which helps users easily apply as a result.

• Journal of the Korea Safety Management & Science
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• v.19 no.1
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• pp.181-189
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• 2017

The systematic management of technology infrastructure increasingly becomes critical as it represents the driving power for creating competitive advantage of nations and enterprises. In this sense, public facility and equipment, which is one major asset of technology infrastructure, should be managed effectively, systematically and efficiently to increase its overall equipment effectiveness. However, the manual and off-line communication was the unique way to communicate between the suppliers who provide facilities in the public sector and the customers who utilize the facilities in the industrial sector. This communication way caused invisibility of available usage time and increase of idle time, thereby decreasing the equipment effectiveness. This paper presents an web-based scheduling system that enables real-time collaboration and information sharing for increasing the equipment effectiveness. The designed system performs scheduling, facility management, order management and customer relationship management in an on-line platform, and carries out the processing and storing of relevant information in an integrated database. The paper includes a development approach to identify business process models and standardized system models by using object-modeling technique. The deliverable of the present work will contribute to increasing the equipment effectiveness by enhancing visibility, transparency and predictability by means of the integration with a legacy Enterprise Resource Planning.

• Journal of Food Hygiene and Safety
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• v.35 no.6
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• pp.607-617
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• 2020

Human bio-monitoring (HBM) data is a very important resource for tracking total exposure and concentrations of a parent chemical or its metabolites in human biomarkers. However, until now, it was difficult to execute the integration of different types of HBM data due to incompatibility problems caused by gaps in study design, chemical description and coding system between different sources in Korea. In this study, we presented a standardized code system and HBM knowledge model (KM) based on relational database modeling methodology. For this purpose, we used 11 raw datasets collected from the Ministry of Food and Drug Safety (MFDS) between 2006 and 2018. We then constructed the HBM database (DB) using a total of 205,491 concentration-related data points for 18,870 participants and 86 chemicals. In addition, we developed a summary report-type statistical analysis program to verify the inputted HBM datasets. This study will contribute to promoting the sustainable creation and versatile utilization of big-data for HBM results at the MFDS.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1880-1884
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• 2004

The wavelet packet transform has been applied for QRS detection with squaring, window integration, and impulse filter techniques to cut down the false detection of QRS complex. This real time QRS detection has been performed on Simulink and Matlab. The correct QRS detection rates have reached to 99.75% in the experiment with 15 sets of ECG data from European ST-T database which are kept in Physionet.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2004.06a
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• pp.241-241
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• 2004

한국원자력연구소에서 발생되는 방사성폐기물은 다양한 형태, 다양한 핵종으로 구성되며 소량씩 불규칙한 시기에 발생하는 특성을 갖는다. 이러한 폐기물의 효율적인 관리와 처리를 위하여 체계적인 이력관리와 신속한 통계를 도출할 수 있는 데이터베이스 시스템 구축이 선행과제로 대두되었다. 이에 방사성폐기물 통합관리 시스템(Radioactive Waste Management Integration System ; RAWMIS)을 구축하였으며, 이 시스템은 방사성폐기물의 발생부터 수집, 이동, 처리, 저장 등 처분까지의 이력을 관리하고, 서류간소화 및 인적자원 절약 등의 관리효율성을 제고하여 구현되었다. 또한, 한국원자력안전기술원에서 추진하는 국가적 방사성폐기물 통합 안전관리 체계(Waste Comprehensive Information Database : WACID)와 연계를 할 수 있도록 연구개발의 착수 단계에서부터 공동으로 진행하였다. 본 논문에서는 구축된 시스템의 구현사항과 실제 방사성폐기물 관리에 활용하는 사항을 제시한다. 본 연구를 통하여 구축된 시스템은 방사성폐기물 발생기관의 관리와 처리에 있어서 투명성과 효율을 증가시키고, 정확하고 신속한 정보를 도출할 수 있으며, 방사성폐기물의 관리와 처리공정의 데이터를 확보하여 방사성폐기물 처리 분야 연구의 토대를 제공할 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10b
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• pp.289-291
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• 1998

최근 멀티미디어 자료(Multimedia Data)들을 이용한 멀티미디어 상연물(Multimedia Presentation)의 제작에 많은 관심이 쏟아지고 있다. 한편, 멀티미디어 상연물들의 효과적인 사용을 위해서는 멀티미디어 상연물과 데이터베이스 시스템(Database System)의 통합(Integration)이 필요하며 이에 그래프 타입(Graph Type)을 이용하여 표현되고 있는 멀티미디어 상연물의 검색을 위한 검색 언어(Query Language)의 필요성이 대두되고 있다. 검색언어는 멀티미디어 자료들의 물리적 특징과 내용(Content), 상연물을 표현하는 데이터 타입(Data Type)을 표현할 수 있어야 한다. 또한 검색 언어는 사용자(end-user)가 손쉽게 사용할 수 있어야 한다. 이에 앞서 언급된 멀티미디어 상연물 검색 언어가 갖추어야할 요소들을 가지고 있으며 또한 사용자가 편리(user-friendly)하게 사용하는 visual language의 formal basis가 되는 calculus에 바탕을 둔 검색 언어인 GCaluculus/S를 소개한다.

• Proceedings of the Korea Database Society Conference
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• 2001.11a
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• pp.526-535
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• 2001

우리나라 시스템 통합(System Integration) 프로젝트는 최근 들어 공공부문을 중심으로 점차로 대형화되고 장기간에 걸쳐 수행되는 추세에 있다. 그러나, 프로젝트를 주도해야 할 IT 인력의 이직률이 증가되고 근속기간이 점차 단축되는 현상은 국내 산업계의 기술축적과 경쟁력 제고에 걸림돌이 되고 있다. 본 연구의 목적은 대규모 시스템 통합 프로젝트를 수행 도중에 이직한 IT 인력의 이직 원인이 무엇인지 알아보며 이직방지를 위한 대안을 제시하는 것이다. 이를 위해 기존의 연구에서 공통적으로 제시하는 이직 영향요인을 업무측면, 인간관계 측면, 처우측면으로 재구성 한 설문분석을 통해 어떤 요소들이 이직에 큰 영향을 미치는지를 분석하였다. 또한 사례연구를 통해 응답자들을 업무적 성향과 처우적 성향별로 분류하여 이직에 영향을 준 각 측면별 이유와 해결책 및 시사점을 도출하였다. 본 연구의 결과는 IT인력에 대한 기존의 이직방지 대책보다는 효율적으로 IT인력을 운용 할 수 있는 참고기준이 될 수 있을 것이다.

• The Journal of Information Technology and Database
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• v.8 no.2
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• pp.61-69
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• 2001

System Integration Projects, especially in public sector, have a tendency of growing in size and duration. Under such environment the effects of IT personnel turnover becomes a serious problem. In addition a high rate of turnover hinders shill accumulation and competitiveness obtainment. In this research we explored the reasons of turnover by way of tracing IT personnel who have involved in large-scale SI projects and moved or quit before the completion of the projects. Based on previous research we identified three dimensions of variables that affected turnover : task-related dimension, human relations dimension, treatment-related dimension. We used these dimensions as a guideline for the interview and questioning exploration. Implications from the research for improving IT Personnel management are also elaborated.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.15 no.4
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• pp.92-97
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• 2006

This paper presents an integrated machining error compensation method based on PNN(Polynomial Neural Network) approach and inspection database of OMM(On-Machine-Measurement) system. To efficiently analyze the machining errors, two machining error parameters are defined and modeled using the PNN approach, which is used to determine machining errors for the considered cutting conditions. Experiments are carried out to validate the approaches proposed in this paper. In result, the proposed methods can be effectively implemented in a real machining situation, producing much fewer errors.