• Journal of radiological science and technology
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• v.37 no.3
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• pp.169-175
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• 2014

According to database of medical institutions of health insurance review & assessment service in 2013, 1118 hospitals and clinics have department of radiology in Korea. And there are CT, fluoroscopic and general radiographic equipment in those hospitals. Above all, general radiographic equipment is the most commonly used in the radiology department. And most of the general radiographic equipment are changing the digital radiography system from the film-screen types of the radiography system nowadays. However, most of the digital radiography department are used the film-screen types of the radiography system. Therefore, in this study, we confirmed present conditions of technical items for general radiography used in hospital and research on general radiographic techniques in domestic medical institutions. We analyzed 26 radiography projection method including chest, skull, spine and pelvis which are generally used in the radiography department.

• Journal of Information Management
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• v.40 no.4
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• pp.109-133
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• 2009

Among biological information, GenBank, provided by the National Center for Biotechnology Information (NCBI)of the United States, is a representative database on genetic information and is the most widely used by researchers around the world. Korea Institute of Science and Technology Information (KISTI) visits NCBI on a regular basis and downloads the latest version of GenBank to reorganize the information gathered there into a database. This database is provided for Korean researchers of science and technology through the Bio-KRISTAL search engine, developed by KISTI. This study aims to design a service model that links information on papers, patents, and biodiversity and other contents of NDSL, an integrated service on scientific and technological information run by KISTI, with GenBank's reference and organism fields and to develop a prototype system. For this purpose, this paper explores the possibility of a linkage and convergence service between heterogeneous content by: (a) collecting GenBank data from NCBI's FTP site; (b) dividing GenBank text files into basic and reference genetic information and restructuring them into a database; (c) extracting article and patent information from the GenBank reference fields to generate new tables; and (d) leveraging data mapping technology to implement a prototype system where GenBank and NDSL data are interlinked and provided.

• Journal of Life Science
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• v.29 no.1
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• pp.123-128
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• 2019

The use of 16S rDNA is commonplace in the determination of prokaryotic species. However, it has limitations, and there are few studies at the genus level. We investigated conserved genes and metabolic pathways at the genus level in 28 strains of 13 genera of prokaryotes using the COG database (conserved genes) and MetaCyc database (metabolic pathways). Conserved genes compared to total genes (core genome) at the genus level ranged from 27.62%(Nostoc genus) to 71.76%(Spiribacter genus), with an average of 46.72%. The lower ratio of core genome meant the higher ratio of peculiar genes of a prokaryote, namely specific biological activities or the habitat may be varied. The ratio of common metabolic pathways at the genus level was higher than the ratio of core genomes, from 58.79% (Clostridium genus) to 96.31%(Mycoplasma genus), with an average of 75.86%. When compared among other genera, members of the same genus were positioned in the closest nodes to each other. Interestingly, Bacillus and Clostridium genera were positioned in closer nodes than those of the other genera. Archaebacterial genera were grouped together in the ortholog and metabolic pathway nodes in a phylogenetic tree. The genera Granulicella, Nostoc, and Bradyrhizobium of the Acidobacteria, Cyanobacteria, and Proteobacteria phyla, respectively, were grouped in an ortholog content tree. The results of this study can be used for (i) the identification of common genes and metabolic pathways at each phylogenetic level and (ii) the improvement of strains through horizontal gene transfer or site-directed mutagenesis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4634-4643
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• 2014

The objective of this study was to analyze the effects of LED safety block using the government database. To evaluate these effects, the night accident data was obtained from 2007 to 2011 from the database. At the LED-installed area, compared to the uninstalled area, the number of night traffic accidents, injured and mortality had decreased by 26.2%, 21.2% and 38.3%, respectively. The LED-installed intersections are safer than the LED-uninstalled roads from a traffic accidents perspective. In conclusion, a LED safety block is quite effective in decreasing the number of traffic accidents. Although this study was conducted using the data from Changwon city, where LED safety blocks have been installed so far, these results can provide valuable data to other cities considering the implementation of these LED safety blocks.

• Herbal Formula Science
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• v.26 no.3
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• pp.237-250
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• 2018

Objectives : This study is a pharmacological network approach, aimed to identify the potential active compounds contained in Curcumae Radix, and their associated targets, to predict the various bio-reactions involved, and finally to establish the cornerstone for the deep-depth study of the representative mechanisms. Methods : The active compounds of Curcumae Radix have been identified using Traditional Chinese Medicine System Pharmacology Database and Analysis Platform. The UniProt database was used to collect each of information of all target proteins associated with the active compounds. To find the bio-metabolic processes associated with each target, the DAVID6.8 Gene Functional classifier tool was used. Compound-Target and Target-Pathway networks were analyzed via Cytoscape 3.40. Results : The target information from 32 potential active compounds of Curcumae Radix was collected through TCMSP analysis. The active compounds interact with 133 target genes engaging in total of 885 biological pathways. The most relevant pathway was the lipid-related metabolism, in which 3 representative active compounds were naringenin, oleic acid, and ${\beta}-sitosterol$. The mostly targeted proteins in the lipid pathway were ApoB, AKT1 and PPAR. Conclusions : The pharmacological network analysis is convenient approach to predict the overall metabolic mechanisms in medicinal herb research, which can reduce the processes of various experimental trial and error and provide key clues that can be used to validate and experimentally verify the core compounds.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.139-143
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• 2005

Cytochrome P450 14${\alpha}$-sterol demethylase enzyme (CYP51) is the target a of azole type antifungals. The azole blocks the ergosterol synthesis and thereby inhibits fungal growth. A three-dimensional (3D) homology model of CYP51 from Candida albicans was constructed based on the X-ray crystal structure of CYP51 from Mycobacterium tuberculosis. Using this model, the binding modes for the substrate (24-methylene-24, 25-dihydrolanosterol) and the known inhibitors (fluconazole, voriconazole, oxiconazole, miconazole) were predicted from docking. Virtual screening was performed employing Structure Based Focusing (SBF). In this procedure, the pharmacophore models for database search were generated from the protein-ligands interactions each other. The initial structure-based virtual screening selected 15 compounds from a commercial available 3D database of approximately 50,000 molecule library, Being evaluated by a cell-based assay, 5 compounds were further identified as the potent inhibitors of Candida albicans CYP51 (CACYP51) with low minimal inhibitory concentration (MIC) range. BMD-09-01${\sim}$BMD-09-04 MIC range was 0.5 ${\mu}$g/ml and BMD-09-05 was 1 ${\mu}$g/ml. These new inhibitors provide a basis for some non-azole antifungal rational design of new, and more efficacious antifungal agents.

• Journal of the Korean Data and Information Science Society
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• v.26 no.5
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• pp.1035-1045
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• 2015

Recent studies in Big Data Analysis are showing promising results, utilizing the main memory for rapid data processing. In-memory computing technology can be highly advantageous when used with high-performing servers having tens of gigabytes of RAM with multi-core processors. The constraint in network in these infrastructure can be lessen by combining in-memory technology with distributed parallel processing. This paper discusses the research in the aforementioned concept applying to a test taxi hailing application without disregard to its underlying RDBMS structure. The application of IMDG technology in the application's backend API without restructuring the database schema yields 6 to 9 times increase in performance in data processing and throughput. Specifically, the change in throughput is very small even with increase in data load processing.

• Bioinformatics and Biosystems
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• v.2 no.2
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• pp.37-45
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• 2007

생물정보학은 컴퓨터를 이용하여 방대한 양의 생물학적 데이터를 처리하고 그 결과를 분석하는 학문으로서 IT의 고속성장과 맞물려 점차 그 활용도를 넓혀가고 있다. 특히 의학, 생명과학 연구에 사용되는 데이터는 그 종류도 다양하고 크기가 매우 큰 것이 일반적인데, 이의 처리를 위해서는 고속 네트워크가 바탕이 된 그리드-컴퓨팅(Grid-Computing) 기술 접목이 필연적이다. 고속 네트워크 기술의 발전은 슈퍼컴퓨터를 대체해 컴퓨터 풀 내에 분산된 시스템들을 하나로 묶을 수 있는 그리드-컴퓨팅 분야를 선도하고 있다. 최근 생물정보학 분야에서도 이처럼 발전된 고성능 분산 컴퓨팅 기술을 이용하여 데이터의 신속한 처리와 관리의 효율성을 증대시키고 있는 추세이다. 그리드-컴퓨팅 기술은 크게 데이터 가공을 위한 응용 프로그램 개발과 데이터 관리를 위한 데이터베이스 구축으로 구분 지을 수 있다. 전자에 해당하는 생물정보 연구용 프로그램들은 mpiBLAST, ClustalW-MPI와 같은 MSA서열정렬 프로그램들을 꼽을 수 있으며, BioSimGrid, Taverna와 같은 프로젝트는 그리드-데이터베이스 (Grid-Database)기술을 바탕으로 개발되었다. 본 고에서는 미지의 생명현상을 탐구하고 연구하기 위하여 현재까지 개발된 그리드-컴퓨팅 환경과 의생명과학 연구를 위한 응용 프로그램들, 그리고 그리드-데이터베이스 기술 등을 소개한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.1
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• pp.1-10
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• 2008

In this paper, we designed a facial feature(eyes, a moult and a nose) detection hardware based on the ICT transform which was developed for face detection earlier. Our design used a pipeline architecture for high throughput and it also tried to reduce memory size and memory access rate. The algerian and its hardware implementation were tested on the BioID database, which is a worldwide face detection test bed, and its facial feature detection rate was 100% both in software and hardware, assuming the face boundary was correctly detected. After synthesizing the hardware on Dongbu $0.18{\mu}m$ CMOS library, its die size was $376,821{\mu}m^2$ with the maximum operating clock 78MHz.

• Smart Structures and Systems
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• v.8 no.1
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• pp.119-137
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• 2011

A bio-inspired two-mode structural health monitoring (SHM) system based on the Na$\ddot{i}$ve Bayes (NB) classification method is discussed in this paper. To implement the molecular biology based Deoxyribonucleic acid (DNA) array concept in structural health monitoring, which has been demonstrated to be superior in disease detection, two types of array expression data have been proposed for the development of the SHM algorithm. For the micro-vibration mode, a two-tier auto-regression with exogenous (AR-ARX) process is used to extract the expression array from the recorded structural time history while an ARX process is applied for the analysis of the earthquake mode. The health condition of the structure is then determined using the NB classification method. In addition, the union concept in probability is used to improve the accuracy of the system. To verify the performance and reliability of the SHM algorithm, a downscaled eight-storey steel building located at the shaking table of the National Center for Research on Earthquake Engineering (NCREE) was used as the benchmark structure. The structural response from different damage levels and locations was collected and incorporated in the database to aid the structural health monitoring process. Preliminary verification has demonstrated that the structure health condition can be precisely detected by the proposed algorithm. To implement the developed SHM system in a practical application, a SHM prototype consisting of the input sensing module, the transmission module, and the SHM platform was developed. The vibration data were first measured by the deployed sensor, and subsequently the SHM mode corresponding to the desired excitation is chosen automatically to quickly evaluate the health condition of the structure. Test results from the ambient vibration and shaking table test showed that the condition and location of the benchmark structure damage can be successfully detected by the proposed SHM prototype system, and the information is instantaneously transmitted to a remote server to facilitate real-time monitoring. Implementing the bio-inspired two-mode SHM practically has been successfully demonstrated.