• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.224-229
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• 2003

A Web service is a software system designed to support interoperable machine-to-machine interaction over a network. These systems may then interact with the Web service in a manner prescribed by its definition, using XML based such as SOAP, WSDL, UDDI messages conveyed by Internet protocols. Especially, UDDI is the Web Services Registry enabling to register and search Web Services, that takes charge of providing infrastructure for Web Services. However, the existing UDDI has a few problems that searching process is very simple and it cannot provide information of Web Services quality and quality-based retrieval. Therefore, this study suggest the Web Services quality description model that evaluates the Web Services quality.

• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.197-203
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• 2003

The purpose of the study is to develop an integrated knowledge structuring system for the domain of engineering, in which ontology-based literature mining, knowledge acquisition, knowledge integration, and knowledge retrieval are combined using XML-based tag information and ontology management. The system supports combining different types of databases (papers and patents, technologies and innovations) and retrieving different types of knowledge simultaneously. The main objective of the system is to facilitate knowledge acquisition and knowledge retrieval from documents through an ontology-based dynamic similarity calculation and a visualization of automatically structured knowledge. Through experimentations we conducted using 100,000 words economic documents reported in the "Go！ Japan" project for analyzing Japanese industrial situation, and 100,000 words molecular biology Papers, we show the system is Practical enough for accelerating knowledge acquisition and knowledge discovery from the information sea.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.399-405
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• 2004

With the explosive growth of information sources available under various information technology and business environment, it has become increasingly necessary for determining effective marketing strategies and optimizing the logical structure of the CRM data mining system. In this paper, we present an overview of the data mining for strategy focused CRM structure. This includes preprocessing, transaction identification and data integration components. We describe the main part of this paper to the discussion of processes and problems that characterize the mining tools and techniques, identify the CRM data mining, and provide a general architecture of a system to do focused CRM data mining that require further research and development.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.03a
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• pp.7-10
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• 1998

The conventional relational databases have difficulties to efficiently represent various of data because an attribute of a tuple should have only one elementary value. In order to represent ambiguous and imprecious information, fuzzy set and rough set have been gaining acceptance, especially as a tool for knowledge discovery in databases. One of former researches applies only one fuzzy membership value to a tuple. We suggest a more advanced model for data representation by way of applying many membership values to a tuple, i.e. one membership value to each attribute of a tuple.

• Review of KIISC
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• v.18 no.1
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• pp.20-28
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• 2008

많은 기업이 대형 네트워크를 사용하고 있으며 이는 기업 내 외의 정보교환과 업무 원활화를 위하여 사용된다. 하지만 이러한 인트라넷(Intranet) 혹은 인터넷의 사용은 기업의 기밀 유출 혹은 사원들의 컴퓨터 자원 낭비로 이어지기도 하며 이는 사회적으로 큰 손실을 내기도 한다. 또한 E-discovery법의 시행에 앞서서 차후에 발생할 수 있는 많은 법적인 분쟁에 대비하기 위하여 기업은 디지털 증거들을 사전에 수집하고 보관 및 분석할 수 있어야 한다. 이를 위하여 기업들은 디지털 포렌식에 관한 정책 및 기술을 정립하고 확보해야 하며 특히, 원격 포렌식 시스템을 구축하는 데에 주력해야 한다. 정보보호 정책과 기술을 바탕으로 한 원격 포렌식 시스템을 구축하는 것은 기업 내 정보 유출의 방지, 포렌식 관점에서의 정보수집 및 분석 그리고 법정 소송에의 신속한 대응을 가능하게 한다는 점에서 기업의 정보보안에 관한 노력과 예산을 많이 줄여줄 수 있다. 본 논문에서는 원격 포렌식 시스템의 개념, 그리고 각국의 원격 포렌식 시스템 구축 현황을 바탕으로 기업에서의 원격 포렌식 시스템 구축에 관한 필요성을 주장하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.849-852
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• 2014

Reverse engineering of gene regulatory network is a challenging task in computational biology. To detect a regulatory relationship among genes from time series data is called reverse engineering. Reverse engineering helps to discover the architecture of the underlying gene regulatory network. Besides, it insights into the disease process, biological process and drug discovery. There are many statistical approaches available for reverse engineering of gene regulatory network. In our paper, we propose pairwise mutual information for the reverse engineering of a gene regulatory network from time series data. Firstly, we create random boolean networks by the well-known $Erd{\ddot{o}}s-R{\acute{e}}nyi$ model. Secondly, we generate artificial time series data from that network. Then, we calculate pairwise mutual information for predicting the network. We implement of our system on java platform. To visualize the random boolean network graphically we use cytoscape plugins 2.8.0.

• Journal of Dairy Science and Biotechnology
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• v.38 no.4
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• pp.230-236
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• 2020

Heat treatment is a fundamental processing technology in the dairy industry. The main purpose of heat treatment is to destroy pathogenic and spoilage promoting microorganisms to ensure milk safety and shelf life. Despite the development of alternative technologies, such as high-pressure processing and pulse field technology for microbial destruction, heat treatment is widely used in the dairy industry and in other food processes to destroy microorganisms. Heat treatment has contributed greatly to the success of food preservation since Pasteur's early discovery that heat treatment of wine and beer could prevent their deterioration, and since the introduction of milk pasteurization in the 1890s. In Korea, food labeling standards do not stratify heat treatments into low temperature, high temperature, and ultra-high temperature methods. Most milk is produced in Korea by pasteurization, with extended shelf life (ESL : 125--140℃ / 1-10 s). Classification based on temperature (i.e. low, high, and ultra-high), is meaningless.

• Journal of Animal Science and Technology
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• v.64 no.2
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• pp.218-234
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• 2022

Urbanization is usually followed by changes in eating habits, with a specific trend toward the consumption of ready-to-eat products, such as processed foods. Among the latter, meat products are known contributors to high dietary sodium owing to salt addition. Salt plays an essential role in maintaining the quality of meat products in terms of acceptability and safety. However, an excessive salt intake is linked to high blood pressure and cardiovascular diseases. Hence, several studies have been competing for the discovery of salt alternatives performing in a similar way as common salt. A number of replacements have been proposed to reduce salt consumption in meat products while taking into account consumer preferences. Unfortunately, these have resulted in poorer product quality, followed by new adverse effects on health. This review addresses these recent issues by illustrating some established approaches and providing insight into further challenges in developing low-salt meat products.