• 한국미생물생명공학회:학술대회논문집
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• 한국미생물생명공학회 2000년도 Proceedings of 2000 KSAM International Symposium and Spring Meeting
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• pp.135-141
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• 2000

Global Biodiversity is common interest of humans for better health and sustainable development of the society. To provide access and analysis on microbial diversity information, Bacteriology Insight Orienting System (BIOS) has been developed. BIOS contains 6402 species and subspecies names of bacteria and archaea, 2606 names of cyanobacteria by March 2000. BIOS of which web based analytical tool provides windows to compare the results of phylogenetic analysis based on 16S rDNA sequence and the results of cluster analysis on proteome profiling. The sequence data and 2 dimensional gel electrophoresis analysis data were accumulated in BIOS database content for cyanobacteria reclassification and taxonomy. (BIOS URL: http.://www-sp2000ao.nies.go.jp/bios/index.html).

• 대한수의학회지
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• 제45권2호
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• pp.199-205
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• 2005

DNA fingerprint patterns of 8 Brucella reference strains and 15 B. abortus field isolates were characterized by repetitive element sequence-based PCR (rep-PCR) using BOX- and ERIC-primers in this study. AMOS PCR differentiated all Brucella field isolates from B. abortus RB51, a vaccine strain by producing a B. abortus-specific 498 bp band. Rep-PCR using BOX-primer produced 13 to 18 bands with sizes of between 230 and 3,300 bp, and discriminated Brucella strains to the species level except B. canis and B. suis. PCR products amplified with ERIC primers were, however, not appropriate for differentiating the Brucella isolates. DNA fingerprint patterns for all B. abortus field isolates were identical among them and were put on one cluster with B. abortus biovar 1 reference strain in the dendrogram, indicating they were highly clonal. These results suggested that rep-PCR using BOX primer might to be a useful tool for calculating genetic relatedness among the Brucella species and for the study of brucellosis epidemiology.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.923-929
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• 2002

We discuss scheduling analysis for a discrete event system with time windows of which firing or holding time delays are subject to random variation within some finite range. To do this, we propose a modified p-lime Petri net, named p+-time Petri net. We develop a condition for which a synchronized transition does not have a dead token, that is, the firing epochs do not violate the time window constraints. We propose a method of computing the feasible range of the token sojourn time at each place based on a time difference graph. We also discuss an application for analyzing wafer residency times within the process chambers for a dual-armed cluster tool for chemical vapor deposition.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2004년도 추계학술대회
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• pp.203-210
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• 2004

Due to the explosion of e-commerce, recommender systems are rapidly becoming a core tool to accelerate cross-selling and strengthen customer loyalty. There are two prevalent approaches for building recommender systems - content-based recommending and collaborative filtering. Collaborative filtering recommender systems have been very successful in both information filtering domains and e-commerce domains, and many researchers have presented variations of collaborative filtering to increase its performance. However, the current research on recommendation has paid little attention to the use of time related data in the recommendation process. Up to now there has not been any study on collaborative filtering to reflect changes in user interest. This paper proposes dynamic fuzzy clustering algorithm and apply it to collaborative filtering algorithm for dynamic recommendations. The proposed methodology detects changes in customer behavior using the customer data at different periods of time and improves the performance of recommendations using information on changes. The results of the evaluation experiment show the proposed model's improvement in making recommendations.

• Genomics & Informatics
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• 제9권2호
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• pp.89-91
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• 2011

DNA chips are becoming increasingly popular as a convenient way to perform vast amounts of experiments related to genes on a single chip. And the importance of analyzing the data that is provided by such DNA chips is becoming significant. A very important analysis on DNA chip data would be clustering genes to identify gene groups which have similar properties such as cancer. Clustering data for DNA chips usually deal with a large search space and has a very fuzzy characteristic. The Particle Swarm Optimization algorithm which was recently proposed is a very good candidate to solve such problems. In this paper, we propose a clustering mechanism that is based on the Particle Swarm Optimization algorithm. Our experiments show that the PSO-based clustering algorithm developed is efficient in terms of execution time for clustering DNA chip data, and thus be used to extract valuable information such as cancer related genes from DNA chip data with high cluster accuracy and in a timely manner.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2005년도 춘계학술대회 논문집
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• pp.125-131
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• 2005

The purpose of the present study is to examine the flow characteristics of ER fluids between 2 port and 3 port rectangular tube brass electrodes. ER fluid is made silicon oil mixed with $2-3wt\%$ starch having hydrous particles. Flow visualization of the ER fluids were obtained by CCD camera measuring those of the clusters using an image processing technique. This research found the flow $rate(Q_L)$ with 0 kV /mm, 0.5kV/mm and 1.0kV/mm for $Q_L\;=\;0,\;0$ and $5.73cm^3/s$. When the strength of the electric field increased, the cluster of ER fluids are clearly strong along the rectangular tube and the flow rate(Q) decreased.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2004년도 추계학술대회
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• pp.111-113
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• 2004

최근 반도체 제조공정의 많은 부분이 트랙(Track)장비 형태로 구성되어져있다. 이러한 복합제조 장비들은 각 모듈간의 상호 작용이 복잡하고 체제 가능시간도 엄격히 제안되고 있어 각각의 모듈들을 효율적으로 운용하기 위해서 반드시 스케줄러가 필요 되어 진다. 하지만 우리나라에서 대표적 트랙장비로 달수 있는 Wet Station에 대한 스케줄링 분야에 대한 연구는 미약한 편이며 앞으로 많은 연구와 개발이 필요한 시점이다. 본 논문은 Wet Station 장비의 운용 효율성을 극대화할 수 있는 Wet Station 장비 운용방법을 제안하고 평가하는데 그 목적이 있다. 관련 소프트웨어기술은 향후 핵심적인 기술로 대두 대고 있을 뿐만 아니라 다른 LCD공정의 트랙장비, 인라인(In-Line) 장비, 클러스터 툴(Cluster Tool) 효율적 운용면에서 큰 도움이 될 것으로 기대 된다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2003년도 봄 학술발표논문집 Vol.30 No.1 (A)
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• pp.106-108
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• 2003

Human Genome Project와 같은 대형 Sequencing 프로젝트와 High-throughput Sequencing 기술의 발전으로 현재 Expressed Sequence Tag (EST)와 같은 대량의 DNA 서열들이 생산되고 있다. 이를 효과적이고 효율적으로 분석해야 할 필요성이 증대되고 있다. 대부분의 실험자들이 서열 분석을 위해 우선적으로 BLAST 검색을 이용하고 있다. 하지만 대량의 서열, 검색 DB의 크기, BLAST 검색 결과의 복잡성에 의해 어려움을 겪고 있다. 이에 빠르고 정리된 결과를 보여줄 수 있는 BLAST 검색 시스템의 필요성이 커지고 있다. 이에 본 논문은 미국 생명공학연구소(NCBI)에서 제공하는 유전자 서열 검색 툴인 BLAST(Basic Logical Alignment Tool)를 클러스터 수퍼 컴퓨터 구축 기술을 기반으로 한 병렬처리와 Gene Ontology를 이용하여 방대한 양의 서열 검색 결과를 요약하는 모형을 제시한다. 이것은 신약개발 및 유전자 발굴 등의 연구기간을 획기적으로 단축시켜 신약 개 발, 농업, 화학, 의료, 환경 등 생명공학 연구에 핵심적인 역할을 할 수 있다. 또한 성능 실험을 통하여 분석결과 대기시간을 최소화하는 병렬처리모형의 효율성을 검증하였다.

• East Asian mathematical journal
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• 제39권2호
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• pp.119-139
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• 2023

Most of calculus and real analysis are concerned with the study on continuous functions. Because of self-sustaining concept caused by everyday language, continuity has difficulties. This kind of viewpoint is strengthened with that teacher explains continuity by graph drawn ceaselessly and so finally confused with mathematics concept which is continuity and connection. Thus such a concept image of continuity becomes to include components which create conflicts. Therefore, we try to analyze understanding of continuity on university students by using the concept image as an analytic tool. We survey centering on problems which create conflicts with concept definition and image. And we investigate that difference of definition in continuous function which handles in calculus and analysis exists and so try to present various results on university students' understanding of continuity concept.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2007년도 추계학술발표대회
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• pp.467-470
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• 2007

다수의 노드로 구성된 클러스터 시스템을 관리하기 위하여 모니터링 툴(S/W)이 필요하지만, 자신의 시스템에 적합한 툴을 확보한다는 것은 쉽지가 않다. 본 문서는 소규모 SMP 클러스터 시스템을 위하여 개발한 모니터링 툴(my-mon)과 성능 시험 내용을 기술하였다. ganglia와 같이 웹기반의 툴들도 있지만 필요한 기능들로 구성된 my-mon은 다양한 구조의 클러스터 시스템을 관리하는 관리자에게는 ?춤형 클러스터 모니터링 툴이다. infiniband 네트워크를 계산노드간의 스위치로 구성된 소규모 SMP 클러스터 시스템용 모니터링 툴의 개발 내용과 툴의 성능(CPU사용율과 메모리 사용량)을 측정하여 웹기반의 툴들과 비교한 결과를 기술하였다.