• Journal of the Korea Society of Computer and Information
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• v.12 no.5
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• pp.285-292
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• 2007

This study was developed the metallic plate for fixation in the femur fracture for the orthopedic region and rigid fixation with plates has a firm place in fracture treatment. Most plates can be used for rigid as well as biological and dynamical fracture fixation. The device's designation and sizing has a specific with bending structural stiffness and strength, known meaning that is reliable regardless of the plate by the short type and long type. Short plate have a wrapping of femur and long plate have to preserve a pole of femur. The bending strength of the curved metallic long plate has to evaluate a 11,000N and The bending strength of the curved metallic short plate has to evaluate a 6,525N. The tensile stress through to press a plate is $1573N/m^2\;and\;1539N/m^2$. The device can be used to support Revision case of Hip Implant and to use a case of Hip screw compression of Hip Neck Fracture.

• Korean Journal of Microbiology
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• v.40 no.3
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• pp.205-210
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• 2004

The change of bacterial communities during cyanobacterial bloom was analyzed by DGGE in Daechung Reservoir from July to October in 2003. The traditional morphological analysis showed that the genera of Microcystis, Chroococcus, Oscillatoria, and Phormidium were dominated. The most frequent band in the DGGE profile by 16S rDNA sequence analysis was identified as Microcystis flos-aquae and the cyanobacterial bloom was peaked on September 2. Oscillatoria spp. were also identified and Aphanizomenon flos-aquae dominated in the middle of August. Judging from the analysis of the digitalized DGGE profiles using the cluster analysis technique, the microbial community on September 2 was considerably different from others. Consequently, it seems that the gene fingerprinting method can give not only the similar results to the traditional morphological method but also additional information on the bacterial species and similarity among the examined microbial communities.

• Journal of Life Science
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• v.31 no.4
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• pp.410-417
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• 2021

Next-generation sequencing (NGS) is a high-throughput technique for sequencing large numbers of DNA fragments that are prepared from a genome. This sequencing technique has been used to elucidate whole genome sequences of living organisms and to analyze complementary DNA (cDNA) or chromatin immunoprecipitated DNA (ChIPed DNA) at the genome level. After NGS, the use of proper tools is important for processing and analyzing data with reasonable parameters. However, handling large-scale sequencing data and programing for data analysis can be difficult. The Galaxy platform, a public web service system, provides many different tools for NGS data analysis, and it allows researchers to analyze their data on a web browser with no deep knowledge about bioinformatics and/or programing. In this study, we explain the procedure for preparing chromatin immunoprecipitation-sequencing (ChIP-seq) libraries and steps for analyzing ChIP-seq data using the Galaxy platform. The data analysis steps include the NGS data upload to Galaxy, quality check of the NGS data, premapping processes, read mapping, the post-mapping process, peak-calling and visualization by window view, heatmaps, average profile, and correlation analysis. Analysis of our histone H3K4me1 ChIP-seq data in K562 cells shows that it correlates with public data. Thus, NGS data analysis using the Galaxy platform can provide an easy approach to bioinformatics.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.3
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• pp.352-367
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• 2003

The syntactic and semantic characteristics of a computer program can be represented by the keywords sequence extracted from the source code. Therefore the similarity and the difference between two programs can be clearly figured out by comparing the keyword sequences obtained from the given programs. Various methods for measuring the similarity of two different sequences have been intensively studied already in bioinformatics on biological genetic sequence manipulation. In this paper, we propose a new method for measuring the similarity of two different programs and detecting the partial plagiarism by exploiting the sequence alignment techniques. In order to evaluate the performance of the proposed method, we experimented with the actual Program codes submitted by 70 students attending a Data Structure course )tow 2001. The experimental results show that the proposed method is more effective and powerful than the fingerprint method which is the most commonly used for the Plagiarism detection.

• The Korean Journal of Applied Statistics
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• v.23 no.4
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• pp.705-713
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• 2010

Predicting survival from microarray data is not easy due to the problem of high dimensionality of data and the existence of censored observations. Also the limitation of individual gene analysis causes the shift of focus to the level of gene sets with functionally related genes. For developing a survival prediction model based on pathway information, the methods for selecting a supergene using principal component analysis and testing its significance for each pathway are discussed. Besides, the performance of gene filtering is compared.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.2005-2009
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• 2008

하천수변조사는 하천수변의 물리 화학 생물학적 특성 파악과 이들의 상호 연관성 및 변화양상을 분석하기 위한 기초자료 수집과정이다. 하천수변조사는 치수 및 이수기능뿐아니라 하천환경 기능을 보전, 재생 및 복원시키고자 하는 하천정비사업에 이용되고 있으며, 이에 따라 하천정비기본계획, 하천환경정비사업 등에서 많은 조사가 이루어지고 있다. 그러나 수집된 자료의 형태가 대부분 도면이나 이미지 형태로 관리되고 있어 향후에 수변의 변화 상태를 갱신하기가 어려운 실정이다. 본 연구에서는 행정중심복합도시 권역내의 국가하천, 지방하천, 소하천을 대상으로 하천수변조사를 실시하였으며 조사결과의 체계적 관리를 도모하기 위하여 하천수변조사지도 DB 구축과 이를 관리할 수 있는 시스템을 개발하였다. 본 연구의 성과는 단기적으로는 하천환경정비시 보전 및 복원 방향의 설정, 하천의 현재 상황을 파악하고 이를 공사 진행에 반영, 공사 과정 중에서 하천의 반응상태를 파악하여 사업진행이나 방식을 개선하는데 활용될 수 있다. 장기적으로는 행정중심복합도시 조성 전후의 하천환경 및 생태변화상을 제공할 수 있고 자연친화적인 하천환경 관리를 위한 하천환경정보를 제공할 수 있다.

• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.1-10
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• 2005

Multiple sequence alignment(MSA) is a fundamental technique of DNA and Protein sequence analysis. Biological sequences are aligned vertically in order to show the similarities and differences among them. In this Paper, we Propose an effcient group alignment method, which is based on clustering divergency, to Perform the alignment between two groups of sequences. The Proposed algorithm is a clustering divergence(CDMS)-based multiple sequence alignment and a top-down approach. The algorithm builds the tree topology for merging. It is so based on the concept that two sequences having the longest distance should be spilt into two clusters. We expect that our sequence alignment algorithm improves its qualify and speeds up better than traditional algorithm Clustal-W.

• The KIPS Transactions:PartB
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• v.10B no.7
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• pp.769-776
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• 2003

DNA computing has used to solve MCP (Maximal Clique Problem). However, when current DNA computing is applied to MCP. it can't efficiently express vertices and edges and it has a problem that can't look for solutions, by misusing wrong restriction enzyme. In this paper we proposed ACO (Algorithm for Code Optimization) that applies DNA coding method to DNA computing to solve MCP's problem. We applied ACO to MCP and as a result ACO could express DNA codes of variable lengths and generate codes without unnecessary vertices than Adleman's DNA computing algorithm could. In addition, compared to Adleman's DNA computing algorithm, ACO could get about four times as many as Adleman's final solutions by reducing search time and biological error rate by 15%.

• Journal of the Korean Society for Library and Information Science
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• v.37 no.1
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• pp.5-25
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• 2003

The purpose of this study is to assist librarians in developing a biblographic tool for the bibliotherapy. Bibliotherapy is a form of psychotherapy in which carefully selected reading materials are used to assist a subject in solving personal problems or for other therapeutic purposes. However, bibliotherapy has rarely been either studied or practiced in Korea. For a bibliographic tool which is called 'situational bibliography', a client situation has to be classified by the factors of biological place and personal relations, type of stress or symptoms. This study, in this regard, is examined related recent researches in the field of psychology or psychoanalysis. Main conclusions made in this study are summarized as follows : The most important factors to classify a client situation in a bibliographic tool are sex, age, home background, personal relations and mental health issues.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.313-315
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• 2023

본 논문에서는 ¹⁸F-FDG PET과 CT에서 추출한 영상인자를 이용하여 비소세포폐암의 전이를 예측하는 머신러닝 모델을 생성하였다. ¹⁸F-FDG는 종양의 포도당 대사 시 사용되며 이를 추적하여 환자의 암 세포를 진단하는데 사용되는 의료영상 기법 중 하나이다. PET과 CT 영상에서 추출한 이미지 특징은 종양의 생물학적 특성을 반영하며 해당 ROI로부터 계산되어 정량화된 값이다. 본 연구에서는 환자의 의료영상으로부터 image texture 프절 전이 예측에 있어 유의한 인자인지를 확인하기 위하여 AUC를 계산하고 단변량 분석을 진행하였다. PET과 CT에서 각각 4개(GLRLM_GLNU, SHAPE_Compacity only for 3D ROI, SHAPE_Volume_vx, SHAPE_Volume_mL)와 2개(NGLDM_Busyness, TLG_ml)의 image texture feature를 모델의 생성에 사용하였다. 생성된 각 모델의 성능을 평가하기 위해 accuracy와 AUC를 계산하였으며 그 결과 random forest(RF) 모델의 예측 정확도가 가장 높았다. 추출된 PET과 CT image texture feature를 함께 사용하여 모델을 훈련하였을 때가 각각 따로 사용하였을 때 보다 예측 성능이 개선됨을 확인하였다. 추출된 영상인자가 림프절 전이를 나타내는 바이오마커로서의 가능성을 확인할 수 있었으며 이러한 연구 결과를 바탕으로 개인별 의료 영상을 기반으로 한 비소세포폐암의 치료 전략을 수립할 수 있을 것이라 기대된다.