• Journal of Korea Society of Industrial Information Systems
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• v.17 no.6
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• pp.83-93
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• 2012

Technology assessment is one of the most challenging decision making areas that companies face nowadays. According to increase the importance of technology selection, it has been a main issue for the decision makers whether an appropriate technology selection will be successful or not. Therefore, in this study, a technology assessment model using BSC and ANP method was proposed. The technology assessment model consist of three phase. In first phase, various factors, that have an influence on technology assessment, were taken into consideration. Based on the extracted BSC process, the strategies and critical success factors and performance measures were extracted for selecting the technology. And in second phase, the ANP method used to integrate opinions of experts' and evaluate technology alternatives controls tangible and intangible criteria, allows for more complex inter-relationship among decision levels and deals with ambiguity involved in the assessment process. In the lase phase, according to the result of before phase, decision makers select the appropriate technology. Furthermore, the proposed model was applied in the public service for validating the feasibility of the assessment model. The criteria and proposed performance measures informs the method and focus areas for developing the technology. Furthermore, the assessment model can be applied to the other area, and give the objectivity and rationality.

• Korean Journal of Artificial Intelligence
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• v.6 no.1
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• pp.16-20
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• 2018

The development of modern information technology has increased the amount of big data about patients' information and diseases. In this study, we developed a prediction model of diabetes using the health examination data provided by the public data portal in 2016. In addition, we graphically visualized diabetes incidence by sex, age, residence area, and income level. As a result, the incidence of diabetes was different in each residence area and income level, and the probability of accurately predicting male and female was about 65%. In addition, it can be confirmed that the influence of X on male and Y on female is highly to affect diabetes. This predictive model can be used to predict the high-risk patients and low-risk patients of diabetes and to alarm the serious patients, thereby dramatically improving the re-admission rate. Ultimately it will be possible to contribute to improve public health and reduce chronic disease management cost by continuous target selection and management.

• Journal of Animal Science and Technology
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• v.58 no.7
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• pp.26.1-26.11
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• 2016

The use of probiotics for human and animal health is continuously increasing. The probiotics used in humans commonly come from dairy foods, whereas the sources of probiotics used in animals are often the animals' own digestive tracts. Increasingly, probiotics from sources other than milk products are being selected for use in people who are lactose intolerant. These sources are non-dairy fermented foods and beverages, non-dairy and non-fermented foods such as fresh fruits and vegetables, feces of breast-fed infants and human breast milk. The probiotics that are used in both humans and animals are selected in stages; after the initial isolation of the appropriate culture medium, the probiotics must meet important qualifications, including being non-pathogenic acid and bile-tolerant strains that possess the ability to act against pathogens in the gastrointestinal tract and the safety-enhancing property of not being able to transfer any antibiotic resistance genes to other bacteria. The final stages of selection involve the accurate identification of the probiotic species.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.4
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• pp.109-116
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• 2018

This research proposed management plan of internal lecturer who is in charge of job training of researchers working in administrative, researching and developing institutes or public institutions related to information security. The education and training department of the government or public institutions selects and manages lecturers in member of the staff. We applied to the management plan of internal lecturers who are in charge of information security job training by analyzing the way in which internal lecturers are operated by public organizations or corporations. We propose the management plan of internal lecturer according to the position, because the institute of information security is applying the researcher 's position(rank) system. By the proposed circulation management plan by the position, the internal lecturer position is determined according to the position of the employees to be trained and the internal lecturer is selected and operated only at the same position. The proposed management plan includes internal lecturer selection, responsibilities and duties, education, evaluation, and training support.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.4
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• pp.763-777
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• 2021

Information security started as an IT operation process and is now recognized as an important issue of information technology, and each international organization is newly defining the concept. Information security itself is a new combination of IT technologies, a set of technologies and a technology area. As IT outsourcing becomes common in many public sectors, SLAs are introduced to evaluate the level of IT services. In the area of information security, many studies have been conducted on the derivation and selection of SLA performance indicators, but it is difficult to find a way to apply the performance indicators to service level evaluation and performance systems. This thesis conducted a study on the application of a service evaluation system for information security performance indicators based on the public sector and a performance system including compensation regulations. It presents standards and rewards(incentive and penalty) that define expectation and targets of performance indicators that take into account the environment and characteristics of a specific public sector, and defines appropriate SLA costs. It proposes a change plan for the organizational structure for practical SLA application and service level improvement.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.2
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• pp.235-245
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• 2008

The purpose of this paper is to develop a genetic algorithm to determine the optimal locations of base stations and relay stations in Wibro MMR Network. Various issues related to the genetic algorithm such as solution representation, selection method, crossover operator, mutation operator, and a heuristic method for improving the quality of solutions are presented. The computational results are presented for determining optimal parameters for the genetic algorithm, and show the convergence of the genetic algorithm.

• IE interfaces
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• v.25 no.3
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• pp.319-326
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• 2012

To effectively predict financial crisis, this paper presents an early warning system based on artificial intelligence technologies. Both Genetic Algorithms and Neural Networks are utilized for the proposed system. First, a genetic algorithm has been developed for the effective selection of economic indices, which are used for monitoring financial crisis. Then, an optimum weight of the selected indices has been determined by a neural network method. To validate the effectiveness of the proposed system, a series of experiments has been conducted by using the Korean economic indices from 2005 to 2008.

• Journal of Information Management
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• v.41 no.1
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• pp.97-126
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• 2010

Many visually handicapped people face difficulties with using libraries. Public libraries are thus required to meet the need of visually handicapped people. Public libraries should guarantee the visually handicapped the right to use appropriate services. If so, the visually handicapped can improve their life quality by decreasing information gap and increasing information comprehension or accessibility. This study is designed to analyze how visually handicapped people can use public libraries. Based on the analysis, this study can provide actual suggestions to improve opportunities for the visually handicapped to use libraries. Data are collected from visually handicapped people who are the members of Suseong Public Library, Daegu, Korea. In specific, this study can analyze various characteristics(i.e., information needs, selection and use behavior of information sources, difficulties and gaps to access information, use behavior and service satisfaction of public library) regarding their library use by telephone interviews.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.249-259
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• 2020

This study presents a recently obtained social media data set based upon the case study of Electric Vehicles (EV) and looks to implement a sentiment analysis (SA) in order to gain insights. This study uses two methods in order to fully analyze the public's sentiment on EVs. First, we implement a SA tool in which we used to extract the sentiment of comments. Next we labeled the data with these sentiments obtained and classified them. While performing classification we found the problem of dimensionality and also explored the use of feature selection (FS) models in order to reduce the data set's dimensionality. We found that the use of three FS models (Chi Squared, Information Gain and ReliefF) showed the most promising results when used alongside a logistic and support vector machines classification algorithm. the contributions of this paper are in providing an real-world example of social media text analytics which can be adopted in many other areas of research and business. Moving forward researchers can use the methodological approach in this paper to further refine and improve their own case uses in text analytics.

• The Journal of Engineering Geology
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• v.33 no.2
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• pp.335-353
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• 2023

Site selection processes for high-level radioactive waste disposal facilities in different countries differ in terms of local geology and degree of public engagement. There seem to be three alternative processes for site selection: (1) selection with community consent after government choice; (2) selection with continuous community engagement after exclusion of unsuitable areas based on existing survey data; or (3) site selection where communities have expressed a willingness to participate. The Yucca Mountain site in Nevada, USA, was selected as the final disposal site by process (1) through six stages, but its development was suspended owing to opposition from the local governor and environmental groups. In Sweden, Switzerland, and Germany, process (2) is used and sites are selected through three stages. Sweden and Switzerland have completed site selection, and Germany is currently engaged in the process. The UK adopted process (3) with six stages, although the process has been suspended owing to poor community participation. In Korea, temporary storage facilities for spent nuclear fuel will reach saturation from 2030, so site selection must be promoted through various laws and systems, with continuous communication with local communities based on transparent and scientifically undertaken procedures.