• The Journal of Information Systems
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• v.16 no.1
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• pp.111-133
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• 2007

The purpose of this study is to present a new function point estimation approach for the Object-Oriented information systems. In order to fulfill this purpose, we first review the literature on Function Point Analysis of IFPUG, Unified Modeling Language, and Unified Process. Then, we derive a method and rules for estimating Function Points based on Use Cases and Class Diagrams. To analyze the appropriateness of the proposed approach, we conduct the empirical testing. 143 use cases are collected from production, marketing, distribution, sales, and other areas from the Object-Oriented systems development projects. We compare our new approach with the existing methods that are usually used for traditional systems development projects. The results show that our proposed approach is more appropriate for the Object-Oriented environment.

• 한국데이터정보과학회:학술대회논문집
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• 2005.04a
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• pp.164-173
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• 2005

Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are decision tree, association rules, clustering, neural network and so on. The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud detection, data reduction and variable screening, category merging, etc. We analyze waste database united with local information using decision tree techniques for environmental information. We can use these decision tree outputs for environmental preservation and improvement.

• Water for future
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• v.12 no.1
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• pp.56-59
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• 1979

A prompt subsurface runoff producing mechanism whih creaters a depletion curve of direct runoff hydrograph is simulated by a dead zone dispersion model technique. Runoff processes are carried out by routing of the outflow resulted from previous linear channel and effective rainfall from its corresponding subwatershed through a series of conceptual linear channels representing subwatersheds of a catchment. Working rules are explained for evaluation the model parameters such as translatory velocity, diffusive factor, and parameters concerning the infiltration and relative magnitude of the prompt subsurface flow region.

• Annual Conference of KIPS
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• 2001.10b
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• pp.1115-1118
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• 2001

네트워크에 대한 활용 범위가 방대해 지면서, 신뢰성 및 효율성을 가지는 네트워크 관리가 필요하게 되었다. 특히 네트워크 관리에 데이터 마이닝을 이용해 네트워크의 운용 상태에 대한 유용한 정보를 추출하기 위한 기법들이 연구되고 있다. 본 논문에서는 네트워크의 최적화를 위한 하나의 방법으로, 특정 노드의 트래픽 집중 현상을 줄이기 위한 방법을 제안한다. 제안된 방법은 먼저 노드별 트래픽 정보를 표현하고, 수집된 정보들간의 연관성을 가지는 규칙들을 찾으며, 이들 규칙들 중 중복되거나 유용하지 않은 규칙들을 제거하고, 마지막으로 네트워크의 구성 정보를 반영하여 트래픽의 분산에 도움이 되지 않는 정보를 담고 있는 규칙들을 제거한다. 이러한 과정으로 얻어진 규칙들은 새로운 라우팅 정책에 반영하여 병목 현상을 제거하는데 효과적으로 활용할 수 있다.

• International Journal of Contents
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• v.11 no.4
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• pp.77-85
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• 2015

Table detection is a challenging problem and plays an important role in document layout analysis. In this paper, we propose an effective method to identify the table region from document images. First, the regions of interest (ROIs) are recognized as the table candidates. In each ROI, we locate text components and extract text blocks. After that, we check all text blocks to determine if they are arranged horizontally or vertically and compare the height of each text block with the average height. If the text blocks satisfy a series of rules, the ROI is regarded as a table. Experiments on the ICDAR 2013 dataset show that the results obtained are very encouraging. This proves the effectiveness and superiority of our proposed method.

• Journal of Arbitration Studies
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• v.9 no.1
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• pp.323-365
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• 1999

The digital revolution is happening much more quickly and Internet Commerce and Electronic Commerce is having a profound influence on the global trade and internal commerce, revolutionize the way of doing business, especially retail and direct marketing. Owing to Internet, an increasing share of business transactions occurs online. Electronic payment is essential for the smooth progress of the electronic commerce as electronic payment plays the important role in the electronic commerce, that is, the value transfer resulting from the electronic commerce. So far, there have not been a considerable emphasis on the risks residing in the electronic payment and money. So, this paper deals with the risks in the electronic payment and money, in particular technical risks and social risks, and the reliability-increasing schemes to prevent the risks in the electronic payment. The reliability-increasing schemes relate to the security of the electronic payment systems and certification authority and key management, transaction rules between the parties concerned in the electronic payment.

• International Commerce and Information Review
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• v.11 no.1
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• pp.379-403
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• 2009

The Purpose of this study is to research the problems of trade restriction for an environment protection. Environmental regulation relate to trade are Convention on International Trade in Endangered Species of Wild Fauna & Flora, Montreal Protocol on Substances that Deplete the Ozone Layer, Kyoto Protocol to the UN Framework Convention on Climate Change, Basel Convention on the Control of Transboundary Movements of Hazardous Wastes & Their Disposal, Cartagena Protocol on Biosafty and WTO Agreement. Regulatory action for environmental protection has economics instrument, command & control, liablity, damage compensation, voluntary agreement. In the case of our country, impact of regulatory action for environmental protection is low. Because is recognized position of developing country yet. For in the balance rules of trade and enviroment, First must satisfy WTO's basic principles and principle of quantitative restrictions prohibition, Second, operation of protection action must reasonable and objective standards Third, must satisfy GATT article 20 (b) clause and (g) protestation each essential factor To grow for environment advanced country, we should do i) using of FTA ii) international cooperation strengthening for developing country position iii) construction of environment information network

• Journal of Arbitration Studies
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• v.21 no.1
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• pp.215-237
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• 2011

There are more than two hundred arbitral institutions in China. Some of them are active in the development of online arbitration system, such as CIETAC and Guangzhou Arbitration Commission(GAC). GAC, founded in 1995, is the second largest arbitral institution in China which accepts more than 4,000 cases a year. With extensive experiences in arbitration, GAC has conducted online arbitration procedures since 2007. Moreover it opened the whole process of online hearing to the public through the Internet. With this background, this article aims to support the development of online arbitration through the analysis of GAC practices. To meet the purpose, status quo, rules and procedure of online arbitration of GAC are outlined, followed by introducing nine cases conducted by GAC. The scope of GAC online arbitration is comparatively narrow and the institution is still under the government supervision. But the practices of GAC proved that online arbitration is fully admissible and effective under the current legal framework.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.340-342
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• 2002

다중 값이란 속성 값이 집합인 것을 말한다. 즉, 관계형 데이터베이스에서 자료 유형이 집합인 속성을 의미한다. 이러한 다중 값 속성 처리는 기존 데이터마이닝 기술 자체로는 처리한 수 없으며 후처리나 선처리 과정을 이용하여 처리하고 있다. 전처리나 후처리 과정을 통해 처리할 경우 수행과장에 있어 많은 시간이 소요되고 혹은 타당하지 않은 규칙이 생성되는 문제점을 가지고 있다. 특히 연관화 기법 특성상 분석하고자 할 항목이 증가할수록 연관성의 수가 지수(exponential)단위이기 때문에 이를 해결하는데는 상당한 어려움이 따르게 된다. 본 논문에서는 관계형 데이터베이스 테이블 구조에서 데이터 마이닝의 수행을 위한 전처리나 후처리의 과정을 고려하지 않음으로 위에서 언급된 문제점들을 해결하고자 한다. 특히 데이터 변환 작업 없이 정량적(Quantitative)연관 규칙과 연관 규칙(Market Basket Analysis)의 혼합 형태의 규칙을 생성할 수 있게끔 알고리즘을 확장하여 보다 효율적인 규칙이 생성될 수 있도록 한다. 마지막으로 Each Movie 데이터를 사용하여 확장한 알고리즘의 다중 값 속성 처리 방법의 효율성과 타탕성을 검증한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.1039-1040
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• 2015

최근 IoT 및 인공지능 기술을 활용한 상황 정보 예측 서비스가 각광을 받고 있다. 본 논문에서는 특정 메타 데이터(Meta Data)로부터 입력되는 정보를 기반으로 상황 정보 분석 및 예측하는 프로세스를 제안한다. 주성분 분석 및 데이터의 집단화(Corpus), 문서 매트릭스(Document Matrix), 단어 빈도수(Frequency)에 따른 데이터 전처리 과정을 통해 상황정보 데이터를 확보한다. 또한 연관 규칙분석을 통해 분류된 데이터의 연관성을 분석하여 예측 데이터의 연관성을 확보한다. 제안하는 상황정보 분석 및 예측 모델은 R을 적용하여 설계한다.