• The Journal of Natural Sciences
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• v.5 no.2
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• pp.25-32
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• 1992

Statistical database(SDB) are large database primarily collected for purpose of statistical analysis. Commerical database management systems have not been widely used for SDB because of the efficiency problem of storage and access of those systems for SDB. In this paper, we propose SDB management method to use a front-end system to a Relatianal Datebase Management System (RDBMS). We do the design of SM-F system (Stasticical database Management as Front-end system) as a front-end system to a RDBMS. In the system, we use GROS model specially proposed for SDB, and store and manage summary database and meta database to support statistical analysis and to provide users with statistical summary information.

• Korean Journal of Food Science and Technology
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• v.31 no.2
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• pp.448-457
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• 1999

Citrus fruits are consumed worldwide due to their unique flavor and nutrition value. It is necessary to remove the haze material as well as to minimize the loss of major compounds such as organic acids, sugars, and ascorbic acid in membrane processes for clarification of juice. The objective of our research was to select the best membrane among one surface filter (Whatman No.4) and five microfiltration filters (GF/A, GF/D, GF/F, Gelman, and SM). Tangerine fresh blended with three times of water was partially clarified with 170 mesh followed by prefiltration in a Samduck filtration system. The best membrane was selected by measuring the amounts of major compounds in the permeates as well as the flux which were statistically analyzed with SAS program. The foulants on the membrane surface were observed by SEM. The flux of GF/A and GF/F decreased with time at probability 0.10. Gelman, SM, and GF/D maintained the stable flux. Gelman showed the highest total scores including nutritive value (the amounts of citrate, malate, and ascorbic acid) and purchasing need (brix and color). Therefore, the microfiltration membrane process was a very effective method in tangerine juice clarification and Gelman type A/E was proved to be the best membrane among the five microfiltration membranes.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.564-567
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• 2021

스미싱은 SMS 문자를 통해 피해자를 현혹시켜 개인정보나 금전 등을 갈취하는 범죄이다. 발전하는 스미싱 범죄 수법에 대응하기 위해선 새로운 스미싱 범죄 사례에서 데이터를 추출하고, 추출한 데이터를 기존 시스템에 통합하여 빠르게 대응할 수 있어야 한다. 본 연구에서는 빠른 스미싱 대응을 위해 전처리를 하지 않은 SMS 문자 텍스트에서 지식베이스를 자동으로 추출하고 저장하는 자동 지식베이스 추출 모듈을 제안하며, 추출 시스템 지식베이스를 바탕으로 입력된 SMS가 스미싱인지 판별하는 스미싱 SMS 탐지 모듈을 통합한 자동 지식베이스 추출 기반 스미싱 SMS 탐지 시스템을 제시한다. 제시된 스미싱 SMS 탐지 모델은 UCI SMS Spam Collection Dataset을 기준으로 90.9 (F1 score)의 성능을 보여주었다.