• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2000년도 가을 학술발표논문집 Vol.27 No.2 (1)
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• pp.338-340
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• 2000

인터넷의 비약적인 발달로 인해 복잡해진 지식체계에 따른 다양해진 정보를 손쉽게 구할수 있게 되었으나, HTML(Hyper Text Markup Language)과 같은 정적인 텍스트 위주의 고정된 내용의 웹 페이지 저작으로는 멀티미디어에 대한 점차 증대되는 사용자의 요구를 수용할 수 없게 되었다. 시간에 기반을 둔 멀티미디어 객체를 동기화 하는 효과적이 프레젠테이션을 기술할 수 있는 SMIL(Synchronized Multimedia Integration Language)이 W3C (World Wide Web Consortium)에 의해 제안되었다. 이러한 SMIL은 선언적 마크업(Markup) 언어이므로 텍스트 편집기 등으로 쉽게 저작할 수 있으나, 태그(Tag)기반 언어이므로 태그를 암기하고 사용법을 숙지하여야만 효과적인 멀티미디어 프레젠테이션 제작이 가능하다. 이러한 문제점을 해결하기 위해 본 논문에서는 Java를 기반으로 하여 사용자 편의적인 GUI(Graphical User Interface)에 입각한 멀티미디어 데이터의 통합 및 동기화를 위한 SMIL 전용 저작도구의 구현 및 향후 개발 방향을 제시하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.175-178
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• 2007

COMS (Communication Ocean Meteorological Satellite) is the geostationary satellite being developed by Korea Aerospace Research Institute for multi-mission: experimental communication, ocean monitoring and meteorological observations. The COMS operation is controlled by the on-board software running on the spacecraft central computer. The software is written in ADA language and developed under the software life cycle: Requirement analysis, Design, Implementation, Component test and Integration test. Most functional requirements are tested at component level on a software component testing tool, ATTOL. ATTOL provides a simple way to define the test cases and automates the test program generation, test execution and test analysis. When two or more verified components are put together, the integration test starts to check the non-functional requirements: real-time aspect, performance, the HW/SW compatibility and etc. This paper introduces the COMS on-board software and explains what to test and how to test the on-board software at component level using ATTOL.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.460-463
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• 2007

COMS (Communication Ocean Meteorological Satellite) is the geostationary satellite being developed by Korea Aerospace Research Institute for multi-mission: experimental communication, ocean monitoring and meteorological observations. The COMS operation is controlled by the on-board software running on the spacecraft central computer. The software is written in ADA language and developed under the software life cycle: Requirement analysis, Design, Implementation, Component test and Integration test. Most functional requirements are tested at component level on a software component testing tool, ATTOL. ATTOL provides a simple way to define the test cases and automates the test program generation, test execution and test analysis. When two or more verified components are put together, the integration test starts to check the non-functional requirements: real-time aspect, performance, the HW/SW compatibility and etc. This paper introduces the COMS on-board software and explains what to test and how to test the on-board software at component level using ATTOL.

• Asia pacific journal of information systems
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• 제10권1호
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• pp.19-35
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• 2000

Data Envelopment Analysis(DEA), a non-parametric productivity analysis tool, has become an accepted approach for assessing efficiency in a wide range of fields. Despite of its extensive applications, some features of DEA remain bothersome. DEA offers no guidelines to where relatively inefficient DMU(Decision Making Unit) improve since a reference set of an inefficient DMU consists of several efficient DMUs and it doesn't provide a stepwise path for improving the efficiency of each inefficient DMU considering the difference of efficiency. We aim to show that DEA can be used to evaluate the efficiency of System Integration Projects and suggest the methodology which overcomes the limitation of DEA through hybrid analysis utilizing DEA along with machine learning.

• Journal of the Optical Society of Korea
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• 제10권1호
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• pp.33-36
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• 2006

This paper describes an efficient optimal design method for an arrayed waveguide grating (AWG) with flattened transfer function. The objective function is the norm of the difference between calculated and target spectra. To analyze the AWG transfer function, the Fresnel-Kirchhof diffraction formula was employed and the design variable was optical path difference of each array waveguide. The (1+1) Evolution Strategy was applied to an eight-channel coarse wavelength division multiplexing (CWDM) AWG as the optimization tool. The optimized transfer function will considerably improve the system performance.

• 디지털산업정보학회논문지
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• 제6권2호
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• pp.39-53
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• 2010

In this paper, we suggest an XML Development Support(XDS) System as a good developing tool to solve the problems that related with the database integration, increased to the developing terms and costs when the developing of XML programming base on the web server. XDS System is designed for the purpose of easily coding the XML program, of simply changing the programming structure and of completely maintaining the program environment. According to the predefined policy, XDS System provides necessary informations such as tables, columns, or relational keys from Database for developer. The developer step by step selects or sets what he needs. And XDS System creates an XML Tree with the result of selected information. The XML Tree includes all information of making an XML Schema and some XML Stylesheet. XDS System creates an XML Schema for all clients and creates many XML Stylesheets for each client using the XML Tree.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2006년도 춘계 국제학술대회 논문집
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• pp.77-88
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• 2006

Data Envelopment Analysis (DEA), a non-parametric productivity analysis tool, has become an accepted approach for assessing efficiency in a wide range of fields. Despite of its extensive applications, some features of DEA remain bothersome. DEA offers no guidelines to where relatively inefficient DMU(Decision Making Unit) improve since a reference set of an inefficient DMU consists of several efficient DMUs and it doesn't provide a stepwise path for improving the efficiency of each inefficient DMU considering the difference of efficiency. We aim to show that DEA can be used to evaluate the efficiency of System Integration Projects and suggest the methodology which overcomes the limitation of DEA through hybrid analysis utilizing DEA along with machine learning.

• 한국공작기계학회논문집
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• 제16권6호
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• pp.94-102
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• 2007

Applications of bonded dissimilar materials such as large scale integration (LSI) packages, ceramics/metal and resin/metal bonded joints, are very increasing in various industry fields. It is very important to analyze the thermal stress and stress singularity at interface edge in LSI. In order to investigate stress singularities on the bonded interface edges and delamination of die pad and resin in the IC package. In this paper, stress singularity factors(${\Gamma}_i$) and stress intensity factors($K_i$) considering thermal stress in the IC package were analyzed by using the 2-dimensional elastic boundary element method(BEM).

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2007년도 한국컴퓨터종합학술대회논문집 Vol.34 No.1 (B)
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• pp.315-320
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• 2007

유비쿼터스 컴퓨팅이란 언제, 어디서나, 아무 때나 네트워크를 통해 정보를 접할 수 있는 사회를 말한다. 이러한 유비쿼터스 컴퓨팅 환경에서 사용자가 정보를 다양한 디바이스들로부터 받아들이고 받아들인 정보를 바탕으로 사용자에게 맞는 이벤트가 수행될 수 있는 통합 환경을 "UDI (Ubiquitous Data Integration) 서비스 플랫폼"이라 한다. 본 논문에서는 이러한 UDI 서비스 플랫폼의 구성 중 최상위 응용 계층으로 Cyber View 라는 자바 기반 명세도구를 개발하여 사용자가 정의한 이벤트를 다양한 디바이스를 통해 실행할 수 있 는 사용자정의 도구 개발에 관한 연구를 기술할 것이다.

• Journal of applied mathematics & informatics
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• 제40권3_4호
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• pp.563-575
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• 2022

Many organizations seek statistical modelling facilitated by data analytics technologies for determining the prediction models associated with M&A (Merger and Acquisition). By combining these data analytics tool alongside with data collection approaches aids organizations towards M&A decision making, followed by achieving profitable insights as well. It promotes for better visibility, overall improvements and effective negotiation strategies for post-M&A integration. This paper explores on the impact of pre and post integration of M&A in a standard organizational setting via devising a suitable statistical model via employing techniques such as Naïve Bayes, K-nearest neighbour (KNN), and Decision Tree & Support Vector Machine (SVM).