• Information Systems Review
• /
• v.4 no.2
• /
• pp.111-131
• /
• 2002

Strategic information systems assist organization with the significant opportunity to gain competitive advantage in executing its business plans and realizing its business goals. The universities establish long-range plan of information systems in an effort to provide just-in-time, useful, efficient and effective information services to their members such as professors, students, and staffs when carrying out various organizational activities. The university information systems started from the primitive computer-based application, extended to the administrative and educational e-transformation, even to the virtual university concept. Through an empirical analysis and complementary case examples, the current study carefully chose three Korean universities according to their chronological importance, that have undergone the information systems planning process years from 1995 to 2001. These universities then, were compared in terms of the information technology architecture: the information architecture, infra architecture, and information management architecture. These three areas of system were cross-examined under the consideration of the evolution of information technology architecture, and its impact on the development of university e-transformation. As part of a fulfillment plan to satisfy the needs of customers of current trend, it is evident that the university e-transformation provides a stepladder to highly competitive, first class university in the market, through achieving the educational advancement, research enhancement, and administrative efficiency. The result of the study analysis indicates that, of the three architectures examined, the weakness showed in the information management architecture. Therefore it is crucial for the university staffs, managers and professors to understand the significance of the successful implementation of the information system and its maintenance. Our study certainly will act as a catalyst for the promotion of the future university e-transformation projects.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 2002.06a
• /
• pp.433-445
• /
• 2002

This study is to consider the current status of e-payment of local tax, one of the e-business models between Government and Customers(G2C) which is designed for the implementation of e-Government, and to present the activated policy for e-payment of local tax. For the survey, the complete enumeration is conducted through the questionnaire survey with those people who have used the e-payment tax system in C county and interview with those officials who are in charge of tax affairs in 232 local autonomies in Korea. As the system introduction status is viewed, the e-payment of local tax system is operated in 196 cities and counties in nation-wide but it has shown big differency in the extent of utilization according to regions. And the way of system operation is varied and the age bracket of those users is mainly comprised of 30's. In sum, a severe gap among taxpayer's age group, regional difference, and the lag of information in the system infra is appeared. But users consider this system to be settled as a new tax-payment system, and the good prospect is anticipated. As an activating policy for the e-payment of local-tax, some measures-providing incentives to those users of e-payment of tax system, improving the operating system, and enhancing the information education for taxpayer's-are needed to be taken. Hereafter, in-depth study on the e-payment tax system which is planned for the realization of e-Government is expected through a more systematic and scientific approach to this field.

• Journal of KIISE:Software and Applications
• /
• v.32 no.7
• /
• pp.581-591
• /
• 2005

Collaborative filtering systems have problems involving sparsity and the provision of recommendations by making correlations between only two users' preferences. These systems recommend items based only on the preferences without taking in to account the contents of the items. As a result, the accuracy of recommendations depends on the data from user-rated items. When users rate items, it can be expected that not all users ran do so earnestly. This brings down the accuracy of recommendations. This paper proposes a collaborative recommendation method for extracting typical group preferences using user-item matrix optimization and user profiles in collaborative tittering systems. The method excludes unproven users by using entropy based on data from user-rated items and groups users into clusters after generating user profiles, and then extracts typical group preferences. The proposed method generates collaborative user profiles by using association word mining to reflect contents as well as preferences of items and groups users into clusters based on the profiles by using the vector space model and the K-means algorithm. To compensate for the shortcoming of providing recommendations using correlations between only two user preferences, the proposed method extracts typical preferences of groups using the entropy theory The typical preferences are extracted by combining user entropies with item preferences. The recommender system using typical group preferences solves the problem caused by recommendations based on preferences rated incorrectly by users and reduces time for retrieving the most similar users in groups.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.9 no.2
• /
• pp.37-48
• /
• 1999

The Internet has been used as the academic researching purposes. Nowadays accordance with improving and being familiar with the World-Wide Web Many people are giving it a try to use the Internet as commerce markets. The noticeable example of internet-based use of the commerce is the Internet shopping mall. Using the WWW companies exhibit their products and users select the ones and take the payment for ones in the on-line Increasing the the Internet shopping mall there needs to be the countermeasure that companies and clients must verify each other. In this paper there are explained the development credit authentication system of the Internet shopping mall and the construction of the trusted environment clients can use Internet shopping mall. That is to develop the credit authentication system the credit-rating of Internet shopping mall can be sent securely and easily to clients and the information of credit-ranting cannot be eavesdropped.

• Journal of Intelligence and Information Systems
• /
• v.29 no.3
• /
• pp.419-437
• /
• 2023

As the number of thin filers in Korea surpasses 12 million, there is a growing interest in enhancing the accuracy of assessing their credit default risk to generate additional revenue. Specifically, researchers are actively pursuing the development of default prediction models using machine learning and deep learning algorithms, in contrast to traditional statistical default prediction methods, which struggle to capture nonlinearity. Among these efforts, Graph Neural Network (GNN) architecture is noteworthy for predicting default in situations with limited data on thin filers. This is due to their ability to incorporate network information between borrowers alongside conventional credit-related data. However, prior research employing graph neural networks has faced limitations in effectively handling diverse categorical variables present in credit information. In this study, we introduce the Transformer embedded Graph Convolutional Network (TeGCN), which aims to address these limitations and enable effective default prediction for thin filers. TeGCN combines the TabTransformer, capable of extracting contextual information from categorical variables, with the Graph Convolutional Network, which captures network information between borrowers. Our TeGCN model surpasses the baseline model's performance across both the general borrower dataset and the thin filer dataset. Specially, our model performs outstanding results in thin filer default prediction. This study achieves high default prediction accuracy by a model structure tailored to characteristics of credit information containing numerous categorical variables, especially in the context of thin filers with limited data. Our study can contribute to resolving the financial exclusion issues faced by thin filers and facilitate additional revenue within the financial industry.

• Journal of KIISE:Software and Applications
• /
• v.31 no.8
• /
• pp.1027-1042
• /
• 2004

A Software Component is a module that is reused among a lot of projects, systems, and companies rather than a single application. Components can be reused in various systems if they provide not only the common functionalities required in many applications but also the diverse aspects to be customized for being suitable for customers' demands. From the development phase, components should be designed and developed considering the variable aspects they have for convenient customization. Easily customized components can be frequently reused in lots of applications. In the literature, there are some modeling and customizing techniques. But they suggested only conceptual or basic methods based on Object-Oriented. And the practical instructions for reusing component were not provided sufficiently. Moreover, there are few techniques that consider the proper variability types components have. Thus, those techniques are not appropriate for applying to black box component completely developed and released. In this paper, we classify variabilities that components have in functional aspect into two categories. The one is logic variability, and the other is workflow variability. For each classified variability, we propose the three kind of modeling techniques, which are selection, plug in and externalization. Also detailed instructions for practical design and application are provided.

• The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
• /
• v.10 no.3
• /
• pp.48-57
• /
• 1999

안테나 단에서 직접 수신 신호의 디지털화가 이루어지고 그 해당 신호의 처리는 고속 디지털 신호처리기 내에서 소프트웨어로 수행되는 방식을 SWR(Software Radio)이라 한다. 그러나 현재의 기술 수준을 감안하여 보다 현실적인 SDR(Software Defined Radio) 정의가 필요하게 되었다. SDR이란 수신신호의 디지털화가 안테나 이하의 임의의 단(IF단)에서 이루어지는 무선으로 정의된다. 물론 A/D변환기등의 기술이 더욱 발전되면 궁극적으로는 SWR로 진화될 것이다. 그러면 SDR은 왜 필요한 것일까? 현재 사용중인 이동통신 단말기의 단점은 어느 한 표준 또는 방식에 종속되어 언제 어디서나 임의의 시스템에 접속되어 사용하기에는 많은 기술 종속적인 문제 및 제약을 내포하며, 사용방식에 따른 시스템의 유연성이 없고, 상용 서비스 도중에 발생되는 단말기 문제의 해결(recall service)이 어렵고, 많은 기술료를 지불해야 한다는 것이다. 부연하면 CDMA 셀룰라의 경우 퀄컴 등의 특정한 회사에 의해 기술이 폐쇠되어, 정보의 흐름이 자유스럽지 못할 뿐더러, 이로 인해 기술진화가 보다 빠르게 진행되지 못하고, 전세계적으로 많은 새로운 우수 제품의 출연에 제약이 가해진다는 것이다. 따라서 SDR(Software Defined Radion)을 도입, 하드웨어 및 소프트웨어를 개방형 구조(open architecture)로 개발한다면 정보의 흐름을 자유롭게 할 수 있고, 이로 인하여 세계적으로 다양한 신제품의 개발이 촉진되고 결과적으로 전세계 시장이 커지게 되는 일석이조의 효과를 얻을 수 있게 된다. 또한 이 같은 개방형 단말기 개발의 필요성은 최근 시장동향으로 볼 때, 기존의 단말기 회사 입장에서는 새로운 수익 모델이 필요한 시점이고, 또한 2002년경에 판매되는 단말기의 80%정도는 멀티모드타입 단말기일 것으로 예측되는 점, 그리고 금년말까지 100개 회사 이상이 SDR 포럼 멤버로 가입할 것으로 예측되는 점, 무선 인터넷 폭발적인 성장으로 복합 멀티미디어 단말기 시대가 다가오는 점 등으로 미루어 볼 때, 고객의 서비스 가치선택에 역점을 둔 기술을 중시해야 한다는 점에서 더욱 설득력을 지닌다. 따라서 이 같은 목적과 3세대 이동통신 및 인터넷 사용자의 증가, 반도체기술의 발전에 힘입어, 과거 군용 시스템에서 이용되던 SWR 기술을 상용시스템 특히 3세대 이동통신에 적용하려는 연구가 활발히 진행되고 있다. '96년 SDR 포럼이 결성되었는데, 목적은 휴대형 장치(hand-held devices), 기지국(base stations), 차량형 장치(mobile stations)를 포함하는 다중모드(multi-mode), 다중대역(multi-band) SDR을 위한 개방형 구조의 표준을 정하기 위함이다. 이 같이 public forum에 의한 표준(open architecture standard)이 정해지면 그 다음은 이를 어떻게 구현할 것인가가 문제가 될 것이다. 본고에서는 먼저 SDR 단말기 요구사항을 살펴보고, 이 요구사항들을 만족하는 SDR 단말기 구조, SDR 계층참조 모델, 그리고 기존의 단말기 구조와 SDR 계층참조 모델의 연관관계에 대해 살펴보고, 크게 두가지 종류의 단말기 즉 사용 SDR 단말기와 군용 SDR 단말기에 대해 살펴보고, 설계 절차 및 현재 시점에서 단말기 구현을 위해 해결해야 하는 기술적 과제를 살펴보고 결론을 언급한다.

• Proceedings of the Korean Society for Bioinformatics Conference
• /
• 2006.02a
• /
• pp.46-55
• /
• 2006

(주)지노믹트리는 DNA 마이크로어레이 기술을 기반으로 하는 분자진단회사로서, 다음의 세가지 사업에 전력하고 있다. 첫째는 독창적이며 특화된 바이오마커 발굴기술 (MAGIC system)을 바탕으로 각종 암진단을 위한 바이오마커 개발연구 두 번째는 당사의 원천 기술인 다중동시검출 시스템을 이용한 질병 진단 시스템 및 증폭시스템 세 번째는 마이크로어레이 기술을 이용한 유전자 발현 분석, Array CGH, DNA 메틸레이션 분석 그리고 miRNA 검출 등의 지노믹스시대의 연구를 위한 토탈솔루션을 제공하고 있다. 지난 5년간의 마이크로어레이 기반기술을 이용한 자체연구 활동을 수행하면서 축적된 마이크로어레이 관련기술 노-하우들을 국내 마이크로어레이 연구자들에게 공급하기 위하여 노력하고 있다. 특히 당사의 지노믹서비스 부문은 유전자 발현 분석 솔루션 제공을 위해서 자체적으로 제작하여 공급하고 있는 human cDNA(17K/25K) 및 rat cDNA (5.0K) 마이크로어레이, Human (22K) 및 mouse (10K) 올리고뉴클레오타이드 마이크로 어레이 그리고 미생물 연구를 위한 대장균 (6K) 및 폐렴균 (2.2K) 올리고뉴클레오타이드 마이크로어레이 제공 및 이를 이용한 유전자 발현 분석 서비스를 제공하고 있다. 체적으로 제작되는 마이크로어레이 서비스는 2001년 도입한 ISO9001 품질인증시스템의 기반하에서 제작부터 생산까지의 엄격한 품질관리 과정을 거쳐서 고품질의 마이크로어레이를 이용한 분석서비스를 제공 하고 있다. 또한 고객요구형 서비스를 위하여 국외 유수의 마이크로어레이 회사 (Agilent, Microarray Inc, TIGR, Eurogentec 등)의 whole genome 기반의 마이크로어레이 제품을 이용한 분석서비스를 제공하고 있으며 마이크로어레이 실험을 위해서 필수적으로 이용되고 있는 시약 (labeling kit), 마이크로어레이 hybridization을 위한 hardware (hybridization chamber, hnay centrifuge)등을 자체적으로 개발하여 공급하고 있다. DNA copy number 측정을 위한 Array CGH 분석을 위해서는 자체적으로 제작공구하고 있는 human cDNA 마이크로어레이 (17K/25K) 그기고 rat (5.0K) 마이크로어레이를 이용한 분석서비스 및 whole genome 기반의 Agilent 올리고뉴클레오타이드 CGH 어레이 (44K, 35Kb resolution)를 이용한 분석서비스를 제공하고 있다. Epigenetic study를 하는 연구자들을 위한 메틸레이션 마이크로어레이 분석 서비스를 제공하고 있다. 기존분석법인 Bisulfite 처리기반의 분석이 아닌 enzyme digestion후 PCR 증폭방법을 이용한 분석방법을 이용함으로써, bisulfite 처리에 의한 DNA 손실문제를 최소화 하였다. 현재 50개의 문헌을 통해 잘 보고된 메틸레이션 유전자들에 대한 분석서비스를 제공하고 있으며, 지속적으로 표적컨텐츠의 숫자를 증가시킬 예정이다. 최근 많은 연구자들의 관심을 끌고 있는 micro RNA 검출을 위한 DNA 마이크로어레이 서비스를 제공할 예정이다 (2006년 3월 출시). 현재 까지 알려진 약 320개의 모든 miRNA를 탑재하고 있는 소형 DNA 마이크로어레이를 이용한 분석서비스로서 1장의 마이크로어레이 실험을 통하여 알려진 모든 miRNA의 비교분석이 가능하다. 마이크로어레이 실험 뿐만 아니라 data 분석을 위한 software도 상당히 중요한 비중을 차지하고 있다 이를 위하여 (주)지노믹트리는 Agilent에서 개발한 GeneSpring GX (유전자 발현 분석), Signet (마이크로어레이 database) 및 GeneSpring GT (SNP 분석)를 공급하고 있다. 통계적인 기반 지식의 없은 일반 user들을 위한 간편하면서도 종합적인 기능을 포함하고 있는 우수한 프로그램으로 이미 국제적으로 많은 인정을 받고 있다. (주)지노믹트리는 국내외 많은 연구자들의 경제적, 시간적 연구여건을 고려한 마이크로어레이 토탈솔루션을 제공하고 있으며, 실험 분석에서 data 마이닝 그리고 마이크로어레이 실험 디자인에 이르는 토탈솔루션을 제공하고 있다.

• Journal of Internet Computing and Services
• /
• v.19 no.6
• /
• pp.9-20
• /
• 2018

Financial service industry has introduced and operated management systems such as information security management system (ISMS), personal information security management system, business continuity management system to protect and maintain suitably customer's financial information and financial service. This study started that it's desirable financial industry takes consideration of ISMS and it can be different types among various organizations taking consideration of culture, practical work, and guideline of information security. The study derives primary control areas of ISMS through analyzing non-conformity trends and control factors according to certification audit for finance-related organizations introduced international ISMS of ISO27001 which is well known and commonly applicable irrespective of areas in financial service industry. Through case analyses for five finance-related organizations operating ISMS, this study analyzed improvement effects of ISMS. It has a meaning as an initial research though it was difficulty in acquiring data for empirical study because of rare organizations maintaining certification in financial sector. As a result, number of non-confirmity from the first audit to three years' elapse was decreased every year. Physical and environmental security, communication and operations management, and access control having the highest frequency of non-conformity each presented 23%, 19%, and 17%, which reached 59% in total and they are derived into primary control areas. ISMS can fulfill technical, managerial, physical security issues, which have not been treated importantly in financial industry. In addition, this study presented that ISMS can be an effective management system applicable for financial service industry.

• Journal of Intelligence and Information Systems
• /
• v.26 no.4
• /
• pp.67-86
• /
• 2020

Recommender Systems have been huge influence users and business more and more. Recently the importance of E-commerce has been reached rapid growth greatly in world-wide COVID-19 pandemic. Recommender system is the center of E-commerce lively. Top ranked E-commerce managers mentioned that recommender systems have a major influence on customer's purchase such as about 50% of Netflix, Amazon sales from their recommender systems. Most algorithms have been focused on improving accuracy of recommender system regardless of novelty, diversity, serendipity etc. Recommender systems with only high accuracy cannot satisfy business long-term profit because of generating sales polarization. In addition, customers do not experience enjoyment of shopping from only focusing accuracy recommender system because customer's preference is changed constantly. Therefore, recommender systems with various values need to be developed for user's high satisfaction. Reranking is the most useful methodology to realize diversity of recommender system. In this paper, diversity of recommender system is represented through constructing high similarity with users who have different preference using each user's purchased item's category algorithm. It is distinguished from past research approach which is changing the algorithm of recommender system without user's diversity preference level. We tried to discover user's diversity preference level and observed the results how the effect was different according to user's diversity preference level. In addition, graph-based recommender system was used to show diversity through user's network, not collaborative filtering. In this paper, Amazon Grocery and Gourmet Food data was used because the low-involvement product, such as habitual product, foods, low-priced goods etc., had high probability to show customer's diversity. First, a bipartite graph with users and items simultaneously is constructed to make graph-based recommender system. However, each users and items unipartite graph also need to be established to show diversity of recommender system. The weight of each unipartite graph has played crucial role changing Jaccard Distance of item's category. We can observe two important results from the user's unipartite network. First, the user's diversity preference level is observed from the network and second, dissimilar users can be discovered in the user's network. Through the research process, diversity of recommender system is presented highly with small accuracy loss and optimalization for higher accuracy is possible controlling diversity ratio. This paper has three important theoretical points. First, this research expands recommender system research for user's satisfaction with various values. Second, the graph-based recommender system is developed newly. Third, the evaluation indicator of diversity is made for diversity. In addition, recommender systems are useful for corporate profit practically and this paper has contribution on business closely. Above all, business long-term profit can be improved using recommender system with diversity and the recommender system can provide right service according to user's diversity level. Lastly, the corporate selling low-involvement products have great effect based on the results.