• Journal of Korean Society of Transportation
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• v.15 no.1
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• pp.45-62
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• 1997

이 논문은 O-D 접근방법과 P-A 접근방법을 이론적으로 서로 비교한 연구이다. O-D 접근방법은 전통적인 교통수요 4단계 분석기법의 모든 과정에서 통행수 산출을 통행 유출과 통행유인의 개념을 적용하여 O-D 통행량을 사용한 기법으로 정의되었다. 이러한 O-D 접근방법은 우리 나라에서 보편적으로 사용되고 있는 기법이다. P-A 접근방법은 통행 발생, 통행분포, 교통수단선책 분석과정까지 통행생성과 통행유인의 개념을 적용하여 P-A 통행량을 사용한 기법으로 정의되었으며, 노선배경 분석단계에 앞서 P-A 통행량을 O-D 통 행량으로 전환되어져야 한다. P-A 접근방법은 구미국가들에서 보편적으로 사용되는 기법이 다. 이러한 두 접근방법은 통행목적 분류에서 귀가통행이 별도로 분류되어있는가 혹은 아닌 가에 따라 쉽게 구분되어 질 수 있다. 만일 귀가통행이 통행목적의 분류에서 별도로 구분되 어 있으면 O-D 접근방법이 적용되고 있음을 의미하는 것이다. 이 연구는 전통적 교통수요 4단계 분석과정 중 통행발생, 통행분포 및 교통수단선택의 각 분석과정에서 두 접근방법간 의 이론적 차이점을 명확히 비교 분석하고자 하였다. 그러므로써 형태적 통행패턴을 상대적 으로 잘 설명하며 또한 집합적 오차를 상대적으로 초 lth화할 수 있는 기법이 어느 것인가 를 이론적으로 찾고자 하였다. 이 연구에서는 행태적 측면에서 통행패턴을 P-A 접근방법이 더 잘 표현하고 있으며 또한 집합화 오차도 P-A 접근방법이 더 적으므로 P-A 접근방법이 O-D 접근방법보다 이론적으로 더 우수하다고 결론지었다. 또한 이 연구는 통행발생, 통행 분포, 교통수단선택 분석과정이 끝난 후 P-A 통행량에서 O-D 통행량으로 전환하는 것이 통행발생, 통행분포의 분석과정이 끝난 후에 O-D 통행량으로 전환하는 것보다 더 바람직하 다고 추천하였다.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.72.1-72.1
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• 2013

광촉매 활용 기술은 수질 및 대기 중의 난분해성 오염 물질 처리 등의 환경 분야에서부터 항균 및 초친수성 기능을 활용한 소재 분야, 그리고 태양광을 이용한 물분해 수소 제조 및 이산화탄소의 전환 등의 인공 광합성 연구 분야까지 그 응용분야가 대단히 넓은 기술이다. 본 강연에서는 이러한 광촉매의 반응 원리와 대표적인 응용분야인 환경 정화 분야 및 에너지 분야에서의 광촉매 기술의 활용, 그리고 현재 광촉매 관련 연구 분야의 주요 관심사 및 미래 성장을 위한 과제 등을 포괄적으로 다루고자 한다. 광촉매 반응은 반도체의 따간격 에너지 흡수에 따라 전자와 정공(+전하를 가진 전자와 같은 거동을 하는 입자)가 발생한 뒤에 일어나는 계면에서의 전자전달 반응을 기초한다. 발생한 정공과 전자는 각각 산화와 환원 반응을 유발하며 이러한 산화, 환원반응을 통해 다양한 분야로의 응용이 가능하다. 환경 정화 분야의 경우, 정공이 물 혹은 공기 속에 존재하는 수분과 반응하여 생성되는 OH 라디칼 ($OH{\cdot}$)의 강력한 산화력을 주로 이용하게 된다. OH 라디칼에 의한 다양한 난분해성 유기물질의 산화분해 반응을 활용하여 고도처리공정이 가능하게 되며, 수계 난분해성 유기오염물질의 제거뿐만 아니라 대기 중에 존재하는 VOCs, 악취물질 등의 분해도 가능하며, 아울러 바이러스나 박테리아와 같은 세균을 제거할 수 있는 것으로 알려져 있다. 한편, 물 분해 수소제조 및 이산화탄소의 전환과 같은 에너지 분야 응용의 경우, 전도대의 전자를 활용한 환원반응에 기초한다. 앞서 언급한 다양한 응용분야에서 활용될 수 있는 광촉매의 종류 또한 매우 다양하며, 이사화티탄(TiO2)는 대표적인 고효율 상용 광촉매이다. 아울러, 원하는 응용 분야에서의 광활성이 높은 새로운 광촉매의 제조 및 평가가 꾸준히 진행되고 있으며, 그 가운데 태양광의 가장 많은 영역을 차지하고 있는 가시광 활성을 갖는 광촉매 개발에 관한 연구가 활발히 수행되고 있다. 이에, 현재까지 개발된 다양한 가시광 광촉매 시스템에 대한 소개 및 각 광촉매 응용분야에서 최근 새롭게 대두되고 있는 이슈들에 대하여 중점적으로 고찰하고자 한다.

• Korean Journal of Ecology and Environment
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• v.36 no.2 s.103
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• pp.97-107
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• 2003

Fish vitellogenin produces in female liver during oogensesis through estradiol cycle, and produces even in male liver by endocrine-disrupting chemicals (EDCs) such as alkylphenols. The resulting effects of EDCs lead to the low fecundity of female and the feminization (eg. shrinkage of testis) in male. Especially, the production of vitellogenin in male indicates the environmental contamination of EDCs, resulting in the modulation of gene expression profiles and the monitoring of environmental contamination at specific area. In this paper, we suggest that fish vitellogenin is useful for biomonitoring for environmental contamination and would be substantially useful as a biomarker for a detection of EDCs in aquatic environment.

• Journal of the Korean Society for Library and Information Science
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• v.37 no.2
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• pp.343-364
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• 2003

The importance of Knowledge Management (KM) can be easily recognized in many diverse aspects of the theory studies and in KM's efforts to help implement the government's policy to innovate corporation management. The core of KM is to improve the circulation of knowledge by generation, accumulation, sharing, utilization and acquisition by learning. The improvement of knowledge circulation would result in high quality and quantity of intellectual assets in corporations and make decision-making more efficient. This, too, is the operational philosophy of the special libraries. The primary objective of this study is to promote KM by presenting KM methodology and by explaining a theoretical background and cases, based on the existing special libraries. I cite an example of a case wherein merging intellectual assets and human resources activated the company culture. The reference service system, which is the core of the special library, was used in this merging.

• Journal of Food Hygiene and Safety
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• v.1 no.2
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• pp.151-156
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• 1986

A trial was carried out to check the seasonal variation in total bacterial counts (T.B.C.) and psychrotrophic bacterial counts (P.B.C.) and to investigate the quality deterioration of raw milk collected from dairy farms in Kyunggi area, Korea. T.B.C. of raw milk exceeded $10^{7}/ml$ in summer and $10^{6}/ml$ in winter 1980, but they have gradually decreased from 1983. In 1985, the counts showed less than $2{\times}10^{6}/ml$ through the whole year. The same tendency of improvement in coliform counts was shown. The counts were higher than $10^{6}/ml$ in summer and $10^{5}/ml$ in winter 1982, but they were kept lower than $1{\times}10^{5}/ml$ in 1985 through the whole year. Free fatty acids and free amino acids were increased in raw milk stored at $5^{\circ}C\;and\;10^{\circ}C$, by the growth of psychrotrophic bacteria.

• Journal of KIISE:Software and Applications
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• v.30 no.11
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• pp.1072-1079
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• 2003

This study is purported for suggesting a new clustering algorithm that enables incremental categorization of numerous documents. The suggested algorithm adopts the natures of the spherical k-means algorithm, which clusters a mass amount of high-dimensional documents, and the fuzzy ART(adaptive resonance theory) neural network, which performs clustering incrementally. In short, the suggested algorithm is a combination of the spherical k-means vector space model and concept vector and fuzzy ART vigilance parameter. The new algorithm not only supports incremental clustering and automatically sets the appropriate number of clusters, but also solves the current problems of overfitting caused by outlier and noise. Additionally, concerning the objective function value, which measures the cluster's coherence that is used to evaluate the quality of produced clusters, tests on the CLASSIC3 data set showed that the newly suggested algorithm works better than the spherical k-means by 8.04% in average.

• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.436-443
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• 2009

There have been rapid increases to the demands for modeling diverse and complex spatial phenomena and utilizing spatial data through the computer across all the aspects of society. As a result, the importance and utilization of remote sensing and GIS's(geographic information systems) have also increased. It can produce digital data of enormous accuracy and value by incorporating remote sensing images into GIS analysis technology and make various thematic maps by classifying and analyzing land cover. Once such a map is made for the target area, it can easily do modeling and constant monitoring based on the map, revise the database with ease, and thus efficiently update geo-spatial information. Under the goal of analyzing changes to land cover along the road by combining the remote sensing and GIS technology, this study classified land cover from the images of two periods, detected changes to the six classes over ten years, and obtained statistics about the study area's quantitative area changes in order to provide basic decision making data for urban planning and development. By analyzing land use along the road, one can set up plans for the area along the road and the downtown to supplement each other.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.28-35
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• 2000

In order to acquire the precise and fast response for an analytical query, proper selection of the views to materialize in data warehouse is very crucial. In traditional algorithms, the whole relation is considered to be selected as materialized views. However, materializing the whole relation rather than a part of relation results in much worse performance in terms of time and space cost. Therefore, we present a new algorithm for selection of views to materialize using clustering method in order to improve the performance of data warehouse including this problem. In the presented algorithm, ASVMR(Algorithm for Selection of Views to Materialize using Reduced table), we first generate reduced tables in data warehouse using automatic clustering based on attribute-values density, then we consider the combination of reduced tables as materialized views instead of the combination of the original base relations. We also show the experimental results in which both time and space cost are approximately 1.8 times better than the conventional algorithms.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.5
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• pp.595-602
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• 2009

Fuzzy rules, which represent the behavior of their system, are sensitive to fuzzy clustering techniques. If the classification abilities of such clustering techniques are improved, their systems can work for the purpose more accurately because the capabilities of the fuzzy rules and parameters are enhanced by the clustering techniques. Thus, this paper proposes a new hierarchically structured clustering algorithm that can enhance the classification abilities. The proposed clustering technique consists of two clusters based on correlationship and statistical characteristics between data, which can perform classification more accurately. In addition, this paper uses difference data sets to reflect the patterns and regularities of the original data clearly, and constructs multiple fuzzy systems to consider various characteristics of the differences suitably. To verify effectiveness of the proposed techniques, this paper applies the constructed fuzzy systems to the field of time series prediction, and performs prediction for nonlinear time series examples.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.1
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• pp.7-14
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• 2017

Theoretically, it is known that common beliefs and/or common knowledge cannot be attained in asynchronously distributed multiagent environments, however, it show that some propositions with deadlines can be attained as common beliefs among a set of fully trusted agents even when they communicate to each other asynchronously. Generally, in the multiagent environment, the attainment of common beliefs is approached as a problem of communication, and for the common beliefs paradox that the common beliefs is not attained on a system without communication time restriction is applied to loose coarser granularity and it prove that forming common beliefs is possible by relaxing necessary requirements through the KakaoTalk chatting model. I also experimented with the reasoning function that confirms the common beliefs by inquiring about the common belief generated by implementing the inference function in each agent of the KakaoTalk chatting model. Through utilizing metalogic programming, a formalization of the presentation and reasoning of common beliefs has been achieved, and the group chatting model of KakaoTalk was adopted in experiments to show that common beliefs can be formed among distributed agents using asynchronous communication.