• Journal of the Korean Society of Food Science and Nutrition
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• v.32 no.2
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• pp.287-294
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• 2003

The purpose of this study was to develop a web-based internet program for nutritional assessment and diet management of patient having hyperlipidemia. Hyperlipidermia were classified by hypercholesterolemia and hypertriglyceridemia. The program consisted of four parts according to their functions and contents. The first part explained the metabolism of lipids and defined the hyperchotesterolemia and hypertriglyceridemia. The second part is to assess the general health status such as body weight, obesity index, basal metabolic rate and total energy requirement by the input of age, sex, height, weight and degree of activity. This part also provides the Patient with menus lists and 1 day menu suitable to his weight, activity and the status of hyperlipidemia and offers the information for food selection, snacks, convenience foods, dine-out, behavioral modification, cooking methods, food exchange lists, and information on energy and nutrients of foods and drinks, and top 20 foods classified by nutrients. The third part is designed to investigate diet history of patient, that is, to find out his inappropriate dietary habit and give him some suggestions for appropriate dietary behavior. This part also offers on-line counseling and frequently asked Questions. The fourth part is evaluating their energy and nutrients intake by comparing with recommended dietary allowance for Koreans or standardized data for patient with hyperlipidemia. In this part, it is also analyzing energy and nutrients of food consumed by food group and meals, and evaluating the status of nutrient intake. These results are finally displayed as tabular forms and graphical forms on the computer screen.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.2
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• pp.49-63
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• 2008

RDF is the base ontology model which is used in Semantic Web defined by W3C. OWL expands the RDF base model by providing various vocabularies for defining much more ontology relationships. Recently Jain and Farkas have suggested an RDF access control model based on RDF triple. Their research point is to introduce an authorization conflict problem by RDF inference which must be considered in RDF ontology data. Due to the problem, we cannot adopt XML access control model for RDF, although RDF is represented by XML. However, Jain and Farkas did not define the authorization propagation over the RDF upper/lower ontology concepts when an RDF authorization is specified. The reason why the authorization specification should be defined clearly is that finally, the authorizatin conflict is the problem between the authorization propagation in specifying an authorization and the authorization propagation in inferencing authorizations. In this article, first we define an RDF access authorization specification based on RDF triple in detail. Next, based on the definition, we analyze the authoriztion conflict problem by RDF inference in detail. Next, we briefly introduce a method which can quickly find an authorization conflict by using graph labeling techniques. This method is especially related with the subsumption relationship based inference. Finally, we present a comparison analysis with Jain and Farkas' study, and some experimental results showing the efficiency of the suggested conflict detection method.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.161-169
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• 2015

Realtime search words of typical portal sites appear every few seconds in descending order by search frequency in order to show issues increasing rapidly in interest. However, the characteristics of realtime search words reordering within too short a time cause problems that they go over the key issues of the day. This paper proposes a method for deriving a key issue through association analysis of realtime search words. The proposed method first makes scores of realtime search words depending on the ranking and the relative interest, and derives the top 10 search words through descriptive statistics for groups. Then, it extracts association rules depending on 'support' and 'confidence', and chooses the key issue based on the results as a graph visualizing them. The results of experiments show that the key issue through association rules is more meaningful than the first realtime search word.

• Journal of the Korean School Mathematics Society
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• v.13 no.1
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• pp.125-141
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• 2010

The aim of this paper is to develop a web-based Virtual Learning System for discrete mathematics learning using CAS (Computer Algebra System), The system contains a series of contents that are common between secondary und university curriculum in discrete mathematics such as sets, relations, matrices, graphs etc. We designed and developed web-based virtual learning contents contained in the proposed system based on Mathematia, webMathematica and phpMath taking advantages of rapid computation and visualization. The virtual learning system for discrete math provides movie lectures and 'practice mode' authored with phpMath in order to enhance conceptual understanding of each movie lesson. In particular, matrix learning is facilitated with conceptual diagram that provides interactive quizzes. Once the quiz results are submitted, Bayesian inference network diagnoses strong and weak parts of learning nodes for generating diagnostic reports to facilitate personalized learning. As part of formative evaluation, the overall responses were collected for future revision of the system with 10 university students.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.801-805
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• 2005

수자원의 이수 및 치수관리에 있어서 우량, 하천수위. 하천유속, 하천유량, 지하수위, 하수유량 등의 수문자료는 가장 기초적이면서 중요한 요소이다. 그럼에도 불구하고 최근까지 우리나라의 수자원관리 실태를 살펴보면 신뢰성 있는 수문자료의 구축이 매우 미비한 실정이며, 이로 인해 하천유역의 수문특성 해석에 많은 어려움을 겪고 있다. 본 논문에서는 21세기 프론티어연구사업과 관련하여 구축$\cdot$시범운영하고 있는 "안양천 실시간 통합 수문모니터링 시스템"의 운영현황을 소개하고 2단계 사업에서 신규의 구축된 하수근거 모니터링 시스템에 대해 소개하고자 한다. 실시간 통합 수문 모니터링 시스템이란 하천유역내의 강우량, 하천수위, 지하수위, 하수근거유량, 수질 등 수문 상황을 실시간으로 모니터링함으로써 유역내의 수문자료를 구축함은 물론 지하수위와 하천수위와의 연관성, 하천유량 증가의 인한 하수근거로의 우수유입량 등의 분석을 통해 유역 전반에 걸친 물순환체계에 대한 해석과 평가를 내릴 수 있도록 지원하는 시스템이다. 이를 위해 주요 지점에 수문 모니터링 장비를 설치하고, 통신모듈을 통해 현장에서 서버로 모니터링 자료를 실시간으로 전송하고, 전송된 자료를 웹상에서 보여줌으로써 유역관리자의 의사결정지원 자료로 활용할 뿐만 아니라 일반인들에게 거주지역내 하천에 대한 정보를 제공할 수 있게 된다. 또한 안양시청을 시범 행정기관으로 선정하여 안양시에서 운영하고 있는 실시간 수문모니터링 자료를 취합하여 웹상에서 공유할 수 있도록 시스템을 통합하는 방안을 마련하였으며, 향후 안양천에 속해 있는 지자체이 참여를 유도할 예정이다. 안양천 실시간 모니터링 시스템은 안양천 웹페이지(http://anyang.river.or.kr)에서 구현되고 있으며, 앞서 설명한 바와 같이 1단계 프론티어 사업으로 설치된 4개의 하천수위, 2개의 지하수위 관측시설과 함께, 2단계에 (주)웹솔루스에서 자체적으로 설치 운영하고 있는 2개소의 하수관거 모니터링 관측시설, 그리고 안양시에서 운영하고 있는 5개소의 강우관측소와 7개소의 수위관측소를 모두 통합하여 실시간 자료를 제공하고 있다. 수위자료는 10분단위의 텍스트정보와 그래프형태로 지원되며, 검색기간 설정을 통해 원하는 기간내의 자료를 선별, 검색할 수 있다.

• Journal of Advanced Navigation Technology
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• v.18 no.5
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• pp.524-531
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• 2014

In this paper, we have proposed the processing and analyzing the linked open data (LOD), a kind of big-data, using resources of cloud computing. The LOD is web-based open data in order to share and recycle of public data. Specially, we defined the InfograaS (Info-graphic as a service), new business area of SaaS (software as a service), to support visualization technique for BA (business analytics) and Info-graphic. The goal of this study is easily to use it by the non-specialist and beginner without experts of visualization and business analysis. Data visualization is the process to represent visually and understand the data analysis easily. The purpose of data visualization is to deliver information clearly and effectively by chart and figure. The big data of public data are shared and presented in the charts and the graphics understood easily by various processing results using Hadoop, R, machine learning, and data mining of open source and resources of cloud computing.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.338-341
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• 2003

According to a long-term master plan for the implementing of MOMAF's marine environmental informatization, we have developed marine environment portal web site which consists of 7 main-menu and 39 sub-menu including various types of contents (text, image and multimedia) based on RDBMS. This portal site was opened in Oct., 2002 (http://www.meps.info). Also, for the national institutions' distributed DB which is archived and managed respectively the marine chemical data and biological data, the integrated retrieval system was developed. This system is meaningful for the making collaborative use of real data and could be applied for data mining, marine research, marine environmental GIS and making-decisions.

• The KIPS Transactions:PartD
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• v.10D no.3
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• pp.531-540
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• 2003

Because of the rapid increase of energy consumption, we have some problems such as environmental pollution, global warming, the oil shocks, and so on. To solve these problems, concern about renewable energy such as solar energy, wind force, and water energy is continuously increasing. America, Europe, and Japan have developed a system that manage and utilize the information of the renewable energy resources. However, in the domestic, renewable energy information system was not effectively built yet. Therefore, in this paper, we propose a renewable energy information system, which store and manage solar radiation energy data. We implemented the system using ArcView GIS. Also the system is able to retrieve the information from the energy database through various spatiotemporal queries. In addition, user can identify the results of summary data in the form of chart, graph, and counter line. The implemented system is supplied to the user through the web by ArcIMS.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.177-193
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• 2018

The business process management system that can integrate and manage a medical institution's processes has been increased importance to adapt to constantly changing medical environments and share information with various external medical institutions. The business process management system is an automated process tool that converts the graphic-based BPMN process model into a WS-BPEL, the execution language of the web service environment, and executes it through the process engine. However, the BPMN process model can be difficult to convert into WS-BPEL due to several ambiguities and structural inconsistencies. The process model may also contain structural anomalies that can lead to execution errors during process execution. In this paper, we present business process model formalization and structural anomaly verification techniques for facilitating integrated process management in medical institutions. Through the case study based on the IHE profile, we presented a formalized BPMN process model and verify the structural anomalies. We show the superiority of the proposed technique through comparative experiments with other related works.

• Journal of KIISE:Databases
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• v.31 no.1
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• pp.61-71
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• 2004

XML can describe a wide range of data, from regular to irregular and from flat to deeply nested. Thus, XML is rapidly emerging as the do facto standard for the Web document format since XML supports an efficient data exchange and integration. Also, to retrieve the data represented by XML, several XML query languages are proposed. XML query languages such as XPath and XQuery use path expressions to traverse irregularly structured data which comprise B% elements. To evaluate path expressions, various path indexes are proposed. However, traditional path indexes are constructed by utilizing only the XML data structure. Therefore, in this paper, we propose an adaptive path index which utilizes the XML data structure as well as query workloads. To improve the query performance, the adaptive path index proposed by this paper manages the frequently used paths and the structural summary of the XML data using a hash tree and a graph structure. Experimental results show that the adaptive path index improves the query performance typically 2 to 69 times compared with the existing indexes.