• Water for future
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• v.29 no.1
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• pp.61-68
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• 1996

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.3
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• pp.239-246
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• 2007

In this paper a new equivalent static analysis method of dynamic behavior during progressive collapse is presented. The proposed analysis method uses the equivalent nodal load for the element stiffness which represents the dynamic behavior influence caused by the deletion of elements during progressive collapse analysis. The proposed analysis method improves the efficiency of progressive collapse analysis haying the iterative characteristic because the inverse of the structural stiffness matrix is roused in the reanalysis. By comparing the results obtained by this analysis method with those of GSA code analysis and time history analysis, it is shown that the results obtained by this analysis method more closely approach to those of time history analysis than by GSA code analysis.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.9-20
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• 2007

Groups of genes control the functioning of a cell by complex interactions. Such interactions of gene groups are tailed Gene Regulatory Networks(GRNs). Two previous data mining approaches, clustering and classification, have been used to analyze gene expression data. Though these mining tools are useful for determining membership of genes by homology, they don't identify the regulatory relationships among genes found in the same class of molecular actions. Furthermore, we need to understand the mechanism of how genes relate and how they regulate one another. In order to detect regulatory relationships among genes from time-series Microarray data, we propose a novel approach using frequent pattern mining and chain rules. In this approach, we propose a method for transforming gene expression data to make suitable for frequent pattern mining, and gene expression patterns we detected by applying the FP-growth algorithm. Next, we construct a gene regulatory network from frequent gene patterns using chain rules. Finally, we validate our proposed method through our experimental results, which are consistent with published results.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.14 no.3
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• pp.523-534
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• 1994

The purpose of this study is to develop computer simulation model that produce precipitation patterns from stochastic model. In the paper(I) of this study, the alternate renewal process(ARP) is used for the daily precipitation series. In this paper(Il), stochastic simulation models for the daily precipitation series are developed by combining Markov chain for the precipitation occurrence process and continuous probability distribution for the precipitation amounts on the wet days. The precipitation occurrence is determined by first order Markov chain with two states(dry and wet). The amounts of precipitation, given that precipitation has occurred, are described by a Gamma, Pearson Type-III, Extremal Type-III, and 3 parameter Weibull distribution. Since the daily precipitation series shows seasonal variation, models are identified for each month of the year separately. To illustrate the application of the simulation models, daily precipitation data were taken from records at the seven locations of the Nakdong and Seomjin river basin. Simulated data were similar to actual data in terms of distribution for wet and dry spells, seasonal variability, and precipitation amounts.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.24 no.5
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• pp.569-576
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• 2011

In this paper a new analysis procedure for evaluation of progressive collapse resisting capacity of a structure was proposed based on the nonlinear static analysis procedure. The proposed procedure produces analysis results identical to those obtained by the linear static analysis procedure specified in the GSA guidelines without iteration, therefore saving a lot of computation time and excluding the possibility of human errors during the procedure. To verify the validity of the proposed procedure, the two methods were applied to the analysis of a reinforced concrete moment frame and a steel braced frame subjected to loss of a first story column and the results were compared. According to the analysis results, the two methods produce identical results in the prediction of progressive collapse and the hinge formation. As iterative analysis is not required in the proposed method, significant amount of analysis time is saved in the proposed analysis procedure.

• Journal of Science and Technology Studies
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• v.11 no.2
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• pp.67-96
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• 2011

Studies in scientific visualization have disclosed a visual chain among many scientific visualizations, which starts from the photographs that have many details to diagrams that enable scientists to make specific claims due to their abstract characters. Located at both ends of the visual chain, photographs and diagrams are regarded as being different kinds and having different characteristics. The photographs - or microphotographs to be precise - that this paper discusses, however, had been removed of unnecessary details and were prepared with carful attention to illustrative functions that diagrams usually perform. Following microphotographic changes in a Korean laboratory, this article shows that the knowledge of specimen preparation was transmitted from an American leading group to the Korean laboratory through a direct contact, and that with this, the technique of taking microphotographs of the laboratory was much improved. The specimen preparation method is, however, a tacit knowledge that is invisible in both group's papers. This article argues that the method of specimen preparation is the driving force that made the microphotographs act like carefully prepared diagrams and acquire objectivity.

• Journal of Korea Multimedia Society
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• v.9 no.1
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• pp.23-32
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• 2006

This paper describes the optimization of a language model and an acoustic model to improve speech recognition using Korean unit digits. Since the model is composed of a finite state network (FSN) with a disyllable, recognition errors of the language model were reduced by analyzing the grammatical features of Korean unit digits. Acoustic models utilize a demisyllable pair to decrease recognition errors caused by inaccurate division of a phone or monosyllable due to short pronunciation time and articulation. We have used the K-means clustering algorithm with the transformed successive state splitting in the feature level for the efficient modelling of feature of the recognition unit. As a result of experiments, 10.5% recognition rate is raised in the case of the proposed language model. The demi-syllable fair with an acoustic model increased 12.5% recognition rate and 1.5% recognition rate is improved in transformed successive state splitting.

• Journal of Oral Medicine and Pain
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• v.24 no.3
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• pp.325-333
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• 1999

최근 중합효소연쇄반응을 이용한 분자생물학적 유전자분석기술의 발달로 성염색체상의 유전좌위 증폭을 통한 성별감정이 활발히 이루어지고 있다. 그중 사람 Y염색체상에 존재하는 남성 고환의 형성을 유도하는 sex-determining region Y(SRY) gene이 규명되어 유전질환의 조기 발견이나 예방 및 태아의 성별판정 등에 응용되고 있다. 그러나, 치아는 외부 환경에 대한 저항성이 가장 높은 장기로 성별감정 등 법의치과학적 개인식별에 널리 이용되고 있음에도 불구하고, SRY 유전자를 이용하여 치아에서의 성별감정에 대한 연구는 시도된 바 없다. 따라서, 본 연구에서는 사람 치아에서 중합효소연쇄반응법을 이용한 SRY 유전자를 검출하여 성별판정에 용용하고자 하였다. 남녀 각각 20개 치아의 치수와 상아질에서 DNA를 추출하여 중합효소연쇄반응 을 시행하고 SRY 유전자를 검색한 결과, 남성에서는 치수 13개중 8개, 상아질 7개중 4개에서 SRY 유전자가 검출되었고, 여생에서는 검출되지 않았다. 이러한 결과는 중합효소연쇄반응법을 이용하여 사람 치아에서 SRY 유전자를 검색할 때, 남성판별에 유용하고 치아를 이용한 성별감정시 기존의 성별감정에 이용되고 있는 다른 유전자와 함께 SRY 유전자를 검색함으로써 성별감정의 신뢰도를 높힐 수 있을 것으로 사료된다.

• Journal of Korean Society of Steel Construction
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• v.21 no.3
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• pp.267-275
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• 2009

This paper presents the behavior of column-removed double-span beams in welded steel moment frames and proposes a simplified nonlinear dynamic analysis method for the preliminary evaluation of progressive collapse potential. The nonlinear finite element analysis and the associated analytical study showed that the column gravity load and the beam span-to-depth ratio govern the maximum dynamic deformation demand of the double-span beams. Based on these results, the concept of a collapse spectrum, which describes the relationship between the gravity load parameter and the maximum chord rotation of the double-span beams, was newly proposed. A procedure for the application of the collapse spectrum to multi-story welded steel moment frames was then suggested. The inelastic dynamic finite element analysis results showed that the proposed method gives satisfactory prediction of the nonlinear progressive collapse behavior of welded steel moment frames.

• Journal of Veterinary Clinics
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• v.32 no.2
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• pp.154-157
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• 2015

A major cause of diarrhea in a dog is an infection with bacteria which include Salmonella spp., Campylobacter (C.) spp., and Clostridium (Cl.) spp.. It is fastidious to identify these bacteria by the culture. The purpose of this experiment is to devise the method for detecting Cl. perfringens, C. jejuni, C. coli, and Salmonella spp. with rapid and high sensitivity. The fecal samples collected from 71 normal and 66 diarrheic dog feces were used to compare the prevalence of the enteric pathogens and to develop a multiplex real-time polymerase chain reaction (PCR) assay for clinical use. Detection of Cl. perfringens, C. coli, and C. jejuni in diarrhea feces was higher than normal feces. A developed multiplex real-time PCR is useful for determining the presence and quantity of pathogen-specific or other unique sequences with in a fecal sample.