• Biomolecules & Therapeutics
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• v.16 no.2
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• pp.77-81
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• 2008

The major aim of the Korean Pharmacogenomic Database (KPD) is to offer to users a "bridging" function, making the search for useful information easier. This database has also been established to collect unique Korean genotype data from other databases and to directly link these data to other major databases that offer more informative data. In this way, searches for information about new drug developments and easier and faster evaluation of the more complex and larger databases are possible. The KPD is located at the National Institute of Toxicological Research homepage (http://www.nitr.go.kr/nitr/contents/m134700/view.do), and offers Korean single-nucleotide polymorphism (SNP) information for 154 genes and haplotype information. It also compares the Korean SNP and haplotype frequencies with those of the other ethnic groups registered in the International HapMap. Through the Pharmacogenomic Information and Education facility, we also provide evaluators and the public with information about the concept of pharmacogenomic information, research trends, and the drug regulations of other countries. Because the drug responses of Koreans are not necessarily the same as those of Chinese or Japanese people, it is expected that the systematic operation of the KPD will allow the definition of racial differences and various genomic biomarkers (haplotypes or SNPs) for use in bridging studies and in the approval of new drugs.

• Imaging Science in Dentistry
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• v.32 no.3
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• pp.129-134
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• 2002

Purpose : To implement the database system of oral and maxillofacial radiological images using a commercial medical image management software with personally developed classification code. Materials and methods : The image database was built using a slightly modified commercial medical image management software, Dr. Image v.2.1 (Bit Computer Co., Korea). The function of wild card '*' was added to the search function of this program. Diagnosis classification codes were written as the number at the first three digits, and radiographic technique classification codes as the alphabet right after the diagnosis code. 449 radiological films of 218 cases from January, 2000 to December, 2000, which had been specially stored for the demonstration and education at Dept. of OMF Radiology of Dankook University Dental Hospital, were scanned with each patient information. Results: Cases could be efficiently accessed and analyzed by using the classification code. Search and statistics results were easily obtained according to sex, age, disease diagnosis and radiographic technique. Conclusion : Efficient image management was possible with this image database system. Application of this system to other departments or personal image management can be made possible by utilizing the appropriate classification code system.

• The Journal of Korean Medicine
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• v.34 no.1
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• pp.170-178
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• 2013

Objectives: Because TKM-related statistics are scattered in year books, white papers, or web services, it is not easy to use. This study aimed to build a TKM statistical database offering one-stop service. Methods: We collected TKM statistics from year books, white papers, and web services using TKM related keywords which came from the advanced study. Then we removed, merged, or split the statistics looking through data and meta-data of statistics to build a database. Results: First, we classified the statistics into 6 categories and found that the service category was 303, product category 37 and so on. Second, we analyzed the source of statistics and found that the Ministry of Health & Welfare and the Korea statistics were the strongest sources. Third, we analyzed the years of statistics and found that the oldest was 1962, 35% were within the past 3 years, and only 14% were over 10 years old. Finally, we found that the 415 statistics were composed of 1,120 items and the average was 2.70. Conclusions: Through this study we found that more sophisticated TKM statistics must be produced and developed specially in the education, research, and administration categories. We hope that the effort of TKM societies is available to eliminate the lack of statistical producer's understanding about TKM.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.2
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• pp.154-173
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• 2010

Database outsourcing is unavoidable in the near future. In the scenario of data stream outsourcing, the data owner continuously publishes the latest data and associated authentication information through a service provider. Clients may register queries to the service provider and verify the result's correctness, utilizing the additional authentication information. Research on On-line Stream Analytics (OLSA) is motivated by extending the data cube technology for higher multi-level abstraction on the low-level-abstracted data streams. Existing work on OLSA fails to consider the issue of database outsourcing, while previous work on stream authentication does not support OLSA. To close this gap and solve the problem of OLSA query authentication while outsourcing data streams, we propose MDAHRB and MDAHB, two multi-dimensional authentication approaches. They are based on the general data model for OLSA, the stream cube. First, we improve the data structure of the H-tree, which is used to store the stream cube. Then, we design and implement two authentication schemes based on the improved H-trees, the HRB- and HB-trees, in accordance with the main stream query authentication framework for database outsourcing. Along with a cost models analysis, consistent with state-of-the-art cost metrics, an experimental evaluation is performed on a real data set. It exhibits that both MDAHRB and MDAHB are feasible for authenticating OLSA queries, while MDAHRB is more scalable.

• Journal of Community Nutrition
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• v.7 no.2
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• pp.107-113
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• 2005

This study was conducted to develop a web expert system for nutrition counseling and menu management. This program manipulates a food, dish and menu and search database that has been developed. Clients can select a recommended general and therapeutic menu using this system. The web expert system can analyze nutrients in menus and compare nutrient contents of menus with Korean Recommended Dietary Allowances. It can access the food, dish and menu database. The expert menu database can insert, store and generate the synthetic information of age, sex, and therapeutic purpose of disease. With investigation and analysis of the client's needs, the menu planning program on the internet has been continuously developed. This system consists of the database that reaches to the food composition, the dishes and the menu. Clients can search food composition and conditional food based on nutrient name and amounts. This system is able to draw up the food with its order in dish. The menu planning can be organized and nutrients analysis can be compared with Korea Recommended Allowance. This system is able to read the nutrient composition of the each food, the dish and the menu. The results of analysis is presented quickly and accurately. Therefore it can be used by not only usual people but also dietitians and nutritionists who take charge of making a menu and experts in the field of food and nutrition. It is expected that the web expert system can be useful of nutrition education, nutrition counseling and expert menu management.

• Journal of the Korean Society of Marine Environment & Safety
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• v.7 no.3
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• pp.85-92
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• 2001

Ship handling simulator has much merit to provide trainees with real-like circumstances in doing virtual education and training. To improve the quality of the education, it should be included both the mathematical model which can explain complicated ship's manoeuvrability and graphic tools for 3D images which can embody the visual scenes of reality on screen. This paper is focused on how to construct the marine environment DB(data Base) using S-57 data of ENC(Electronic Navigational Chart).

• Journal of the Korean Dietetic Association
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• v.8 no.4
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• pp.387-397
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• 2002

Foodservice information systems management practices were assessed in hospital foodservice operations. A total of 46 dietetic departments were responded for the study and their practices of foodservice information systems were analyzed. The respondents were questioned about general characteristics of respondents as well as hospital foodservices implementation status of information systems. Statistical data analysis was completed using the SPSS package program for descriptive analysis, factor analysis, t-test and ANOVA test. 43.2% of total respondents gained informations by benchmarking of other hospital foodservice operations, but 7.8% gained through career education. They expected the enhanced efficiency of their tasks through implementing information systems. Based on factor analysis, information systems were divided into 6 management areas such as database management, meal management, nutrition management, purchasing management, production management and foodservice management. The average implementing scores were : database management 3.77, meal management 3.26, nutrition management 3.52, purchasing management 3.26, production management 2.73 and foodservice management 3.70 (score 1 indicates very poor and score 5 is very good). Among database management areas, standard recipe database and food item specifications database build-up scores(3.91) were relatively very high, but meal assessment and foodservice management reporting scores(2.43) were very low. The results suggest that it is necessary to build up automated foodservice management reporting system for the improvement of efficiency and productivity of operational tasks.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.2
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• pp.29-36
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• 2014

The accident statistics use the data from police accident reports and statistics. Although the official accident statistics are useful, they provide very limited information about how accidents occur, the cause of the accident and the injury mechanisms. This limitations could be overcome by carrying out the in-depth accident study and analysing investigations, collecting more detailed information. Meanwhile a net of in-depth investigation teams are operating worldwide, such as NASS (National Accident Sampling System) and CIREN (Crash Injury Research and Engineering Network) in US, OTS (On the spot investigation) in UK. In this study, the database structure and variables of Korea in-depth accidents investigation system would be proposed through considering the database structure of GIDAS (Germany In-Depth Accidents Study). GIDAS is one of the best system on the in-depth accident study system in the world. GIDAS was established in 1999 as a cooperation project between Federal Highway Research Institute of Germany (BASt) and research association on automotive engineering of German Car Industry(FAT). The iGLAD (Initiative for the Global Harmonization of Accident Data) was also considered to introduce into the database variables of Korea in-depth accident study. Current police reports were compared with GIDAS and iGLAD. To collaborate of the Worldwide in-depth accident data, this paper proposed that the database of Korea in-depth accident study would be introduced the structure of GIDAS and the core variables of iGLAD. Harmonization of the structures and core variables of Korea in-depth accident study will be better than the making unique ones. The database structure and core variables of KIDAS(Korea In-Depth Accident Study) introduced of GIDAS and iGLAD.

• Journal of the Korean Home Economics Association
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• v.48 no.9
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• pp.113-123
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• 2010

This study describes the beginning and further development of a collection web-based materials for an efficient approach to culinary practice education. A database was created using a five-step process of analysis, design, development, operation and evaluation. The menu for the web-based culinary practice educational materials included cooking basics, the real status of cooking, cooking related knowledge, performance evaluation, a data room and a bulletin board. As at 30 July, 2010, the datadase of educational materials, contained a total of 571 items. These comprised 139 cooking pictures, 33 recipes, 22 cooking videos, 74 cooking animations, 57 collections of basic knowledge, 14 evaluation reports, 21 supplementary textbooks, and 211 sets of other related information. The webbased materials are adequate for culinary education purposes, and their use is expected to be very highly valued.

• Journal of Engineering Education Research
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• v.15 no.4
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• pp.41-47
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• 2012

Data mining and knowledge discovery techniques have shown to be effective in finding hidden underlying rules inside large database in an automated fashion. On the other hand, analyzing, assessing, and applying students' survey data are very important in science and engineering education because of various reasons such as quality improvement, engineering design process, innovative education, etc. Among those surveys, analyzing the students' views on science-technology-society can be helpful to engineering education. Because, although most researches on the philosophy of science have shown that science is one of the most difficult concepts to define precisely, it is still important to have an eye on science, pseudo-science, and scientific misconducts. In this paper, we report the experimental results of applying decision tree induction algorithms for analyzing the questionnaire results of high school students' views on science-technology-society (HS-VOSTS). Empirical results on various settings of decision tree induction on HS-VOSTS results from one South Korean university students indicate that decision tree induction algorithms can be successfully and effectively applied to automated knowledge discovery from students' survey data.