• Korean Journal of Medicinal Crop Science
• /
• v.24 no.5
• /
• pp.386-392
• /
• 2016

Background: Sorghum is a major cereal food crop used in many parts of the world. It has been grown on a subsistence level by farmers, under various conditions of environmental stresses in the semi-arid tropics of Africa and Asia. This plant has received significant attention because of its ability to reduce cholesterol in the blood, and its anti-dementia, antioxidant, and antimicrobial properties. It is possible to develop a functional and commercially viable sorghum variety by using superior cultivars of sorghum. The objective of this study was to build a database of superior sorghum accession. Methods and Results: We used 250 sorghum accessions collected from different geographical bioregions in Korea. We determined various agronomic characters including germination rate and ear length of these accessions. To determine the antioxidant capacity, we measured the 1,1-diphenyl-2-picrylhydrazyl radical scavenging activity, 2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid)-diammonium salt radical scavenging activity, total phenolic contents, and total flavonoid contents. Accession 189 showed higher germination (> 80%) than the other accessions. Higher 1,1-diphenyl-2-picrylhydrazyl radical scavenging activity was observed in 11-SB-078 ($RC_{50}$; $1.89{\pm}2.88{\mu}g/m{\ell}$), and higher 2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid)-diammonium salt radical scavenging activity was recorded in 11-SB-116 ($RC_{50}$; $35.48{\pm}2.42{\mu}g/m{\ell}$) than in the other accessions. The ear length ranged from 15 cm to 48 cm, the total phenolic contents ranged from $3mg{\cdot}GAE/g$ to $77mg{\cdot}GAE/g$, and total flavonoid contents ranged from $0.09mg{\cdot}QE/g$ to $1.07mg{\cdot}QE/g$. Conclusions: Among 250 sorghum accessions, we selected 10 with both superior agronomic characters and highly functional food quality.

• The Korean Journal of Malacology
• /
• v.30 no.4
• /
• pp.429-431
• /
• 2014

Since we reported a BLAST server for the mollusk in 2004, no work has reported the usability or modification of the server. To improve its usability, the BLAST server for the mollusk has been updated as version II (http://www.malacol.or.kr/blast) in the present study. The database was constructed by using the Intel server Platform ZSS130 dual Xeon 3.20 GHz CPU and Linux CentOS system and with NCBI WebBLAST package. We downloaded the mollusk nucleotide, amino acid, EST, GSS and mitochondrial genome sequences which can be opened through NCBI web BLAST and used them to build up the database. The updated database consists of 520,977 nucleotide sequences, 229,857 amino acid sequences, 586,498 EST sequences, 23,112 GSS and 565 mitochondrial genome sequences. Total database size is 1.2 GB. Furthermore, we have added repeat sequences, Escherichia coli sequences and vector sequences to facilitate data validation. The newly updated BLAST server for the mollusk will be useful for many malacological researchers as it will save time to identify and study various molluscan genes.

• Journal of Food Hygiene and Safety
• /
• v.35 no.6
• /
• pp.607-617
• /
• 2020

Human bio-monitoring (HBM) data is a very important resource for tracking total exposure and concentrations of a parent chemical or its metabolites in human biomarkers. However, until now, it was difficult to execute the integration of different types of HBM data due to incompatibility problems caused by gaps in study design, chemical description and coding system between different sources in Korea. In this study, we presented a standardized code system and HBM knowledge model (KM) based on relational database modeling methodology. For this purpose, we used 11 raw datasets collected from the Ministry of Food and Drug Safety (MFDS) between 2006 and 2018. We then constructed the HBM database (DB) using a total of 205,491 concentration-related data points for 18,870 participants and 86 chemicals. In addition, we developed a summary report-type statistical analysis program to verify the inputted HBM datasets. This study will contribute to promoting the sustainable creation and versatile utilization of big-data for HBM results at the MFDS.

• International Journal of Control, Automation, and Systems
• /
• v.6 no.6
• /
• pp.828-835
• /
• 2008

We present a novel method for eye location by means of a two-level classifier scheme. Locating the eye by machine-inspection of an image or video is an important problem for Computer Vision and is of particular value to applications in biomedical imaging. Our method aims to overcome the significant challenge of an eye-location that is able to maintain high accuracy by disregarding highly variable changes in the environment. A first level of computational analysis processes this image context. This is followed by object detection by means of a two-class discrimination classifier(second algorithmic level).We have tested our eye location system using FERET and BioID database. We compare the performance of two-level classifier with that of non-level classifier, and found it's better performance.

• Genomics & Informatics
• /
• v.6 no.4
• /
• pp.161-165
• /
• 2008

In 2008 at least five complete genome sequences are available. It is known that there are over 15,000,000 genetic variants, called SNPs, in the dbSNP database. The cost of full genome sequencing in 2009 is claimed to be less than $5000 USD. The genomics era has arrived in 2008. This review introduces technologies, bioinformatics, genomics visions, and variomics projects. Variomics is the study of the total genetic variation in an individual and populations. Research on genetic variation is the most valuable among many genomics research branches. Genomics and variomics projects will change biology and the society so dramatically that biology will become an everyday technology like personal computers and the internet. 'BioRevolution' is the term that can adequately describe this change.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.2
• /
• pp.21-27
• /
• 2017

In this paper, we propose a pupil detection method using PCA(principal component analysis) and Hough transform. To reduce error to detect eyebrows as pupil, eyebrows are detected using projection function in eye region and eye region is set to not include the eyebrows. In the eye region, pupil candidates are detected using rank order filter. False candidates are removed by using symmetry. The pupil candidates are grouped into pairs based on geometric constraints. A similarity measure is obtained for two eye of each pair using PCA and hough transform, we select a pair with the smallest similarity measure as final two pupils. The experiments have been performed for 1000 images of the BioID face database. The results show that it achieves the higher detection rate than existing method.

• Proceedings of the Korea Contents Association Conference
• /
• 2003.05a
• /
• pp.399-402
• /
• 2003

Recently, rapid progress in IT based technology is used in many development areas. We are interested in the bioinformatic part which is the combination of fields of biotechnology and information technology. this thesis discuss core technology for development of web based contents using biotechnology, database, and so on. this development of contents connected with the BIT is useful in improving many research environment and saving working cost.

• Journal of Korea Technology Innovation Society
• /
• v.8 no.2
• /
• pp.860-885
• /
• 2005

This study relates to develop a quantitative method through which promising technology-based business items can be discovered and selected. For this study, we utilized patent trend analysis, technology-industry concordance analysis, and keyword co-occurrence analysis of US patents. By analyzing patent trends and technology-industry concordance, we were able to find out the emerging industry trends : prevalence of bio industry, service industry, and B2C business. From the direct and co-occurrence analysis of newly discovered patent keywords in the year, 2000, 28 promising business item candidates were extracted. Finally, the promising item candidates were prioritized using 4 business attractiveness determinants; market size, product life cycle, degree of the technological innovation, and coincidence with the industry trends. This result implicates that reliable discovery and selection of promising technology-based business items can be performed by a quantitative, objective and low- cost process using knowledge discovery method from patent database instead of peer review.

• Mycobiology
• /
• v.38 no.2
• /
• pp.108-112
• /
• 2010

To investigate the possible roles of LAMMER kinase homologue, Lkh1, in Schizosaccharomyces pombe, whole proteins were extracted from wild type and lkh1-deletion mutant cells and subjected to polyacrylamide gel electrophoresis. Differentially expressed proteins were identified by tandem mass spectrometry (MS/MS) and were compared with a protein database. In whole-cell extracts, 10 proteins were up-regulated and 9 proteins were down-regulated in the mutant. In extracellular preparations, 6 proteins were up-regulated in the lkh1+ null mutant and 4 proteins successfully identified: glycolipid anchored surface precursor, $\beta$-glucosidase (Psu1), cell surface protein, glucan 1,3-$\beta$-glucosidase (Bgl2), and exo-1,3 $\beta$-glucanase (Exg1). These results suggest that Lkh1 is involved in regulating cell wall assembly.

• Proceedings of the Korean Information Science Society Conference
• /
• 2004.04b
• /
• pp.235-237
• /
• 2004

본 논문은 객체 데이터베이스 속성을 적용하여 데이터베이스 스키마를 생성하고 XML문서를 저장하는 기법을 제안한다 기존의 관계형 데이터베이스는 트리 기반의 XML 문서를 플랫한 테이블에 저장하므로 모델 불일치 문제가 발생한다. 또한, 문서를 검색할 때 고비용의 조인 연산이 필요하다. 하지만 객체 데이터베이스의 집합값 속성과 객체참조 속성은 트리 기반의 IDA 문서를 저장할 때 모델 측면에서 자연스럽다. 집합간 속성과 객체참조 속성은 Uを질의에 자주 사용되는 경로질의 및 순서를 이용하는 질의를 처리할 때게도 유리하다. 본 논문에서는 객체 데이터베이스의 집합값 속성과 객체참조 속성을 이용하여 XML 문서를 저장하기 위한 2가지의 DTD의존적 스키마 설계 기법인 i) 기본 규칙, ii) 인라인 규칙을 제시한다. 다양한 XML 문서에 대해 각각의 규칙에 따른 클래스 수, 저장 공간, 그리고 질의처리 시간을 비교 분석하였다.