• The Journal of Information Technology and Database
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• v.6 no.1
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• pp.15-25
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• 1999

We propose an extended relational data model which can represent the reliability of data. In this paper, the reliability of data is defined as the reliability of the source, from which the data originated. We represent the reliability of data at the level of attribute values, instead of tuples, then define the selection, product and join operators.

• The Journal of Information Technology
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• v.7 no.4
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• pp.119-127
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• 2004

As increasing trade through the world, especially in food, asymmetry of information can make the trade shrink. With the industrial development, Korea's agriculture had shrunk dramatically. By the result of the nation's industrial restructuring, over than 3/4 of Korea food consumption comes from abroad. And China is an important source of agricultural product to Korea. Increasing family income and increasing importing food consumption, Korean consumers have been interested in food safety. Especially. after experiencing several cases like struggle for safety of GMO food, poultry influenza, lead contained Chinese fish import, mad cow disease, cheating origin, etc. Obviously, those unreliable cases will hinder the increase of world free trade as well as the trust of two countries. Furthermore, distrust will be a cause of adverse selection. So, it need to find a way to solve the distrust which caused by asymmetry of information. And automatic identification procedures can help mitigate asymmetry of information in trade. And it will make Korean consumers can avoid adverse selection. This paper suggests adoption of Auto ID to encourage agricultural trade between Korea and China.

• Journal of the Korea Computer Industry Society
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• v.2 no.11
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• pp.1427-1438
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• 2001

We design the evaluation factors to represent the relevance distribution information between a query and sources and proposes the scheme to get relevance distribution information based on evaluation factors. Then it is developed that the organization is able to classify the best source toward query, and shown the algorithms that is able to select the best source toward users query, it is developed algorithms that is decided ranking and mering these, after choose the best source to evaluate a query, Finally, it merges the result from the source, and present them to the user to the issued query. This paper also develops the scheme to classify the best sources for query and presents the selection algorithm of the best information sources. Finally the ranking and merging Federated Retrieval System is presented.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.1-10
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• 2022

Nowadays software defect prediction (SDP) is most active research going on in software engineering. Early detection of defects lowers the cost of the software and also improves reliability. Machine learning techniques are widely used to create SDP models based on programming measures. The majority of defect prediction models in the literature have problems with class imbalance and high dimensionality. In this paper, we proposed Centroid and Nearest Neighbor based Class Imbalance Reduction (CNNCIR) technique that considers dataset distribution characteristics to generate symmetry between defective and non-defective records in imbalanced datasets. The proposed approach is compared with SMOTE (Synthetic Minority Oversampling Technique). The high-dimensionality problem is addressed using Ant Colony Optimization (ACO) technique by choosing relevant features. We used nine different classifiers to analyze six open-source software defect datasets from the PROMISE repository and seven performance measures are used to evaluate them. The results of the proposed CNNCIR method with ACO based feature selection reveals that it outperforms SMOTE in the majority of cases.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.109-117
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• 2008

This research analyzed which average comparisons and differences between groups' view motive and selection for information sources, product properties with theater animation spectator. Based on view frequency, each of groups' organization were classified to heavy, occasional, and thinly viewers. As average comparison analysis result, firstly, view motive appeared in order to "want to see animation", "to spend time and leisure activity", "to enjoy fun activity", and "because of others canvassing or recommendation", etc. Secondly, view selection for information source appeared in order to "rumor circumstance or reputation", "theater or TV previews", "internet evaluation and grade", etc. At last, view selection for practical property appeared in order to "story", "character", "special effects", "background music", "background art", "director/directing", "manufacturer/nation", and "dubbing of artist". As difference between group result, view motive and selection for product properties appeared significant differences between each of group. To the contrary, view selection for information sources did not appeared significant differences between each of group.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.11a
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• pp.299-299
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• 2004

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.5
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• pp.85-91
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• 2013

For location based service and context awareness services, accurate indoor positioning technology is essential. The TDOA method that uses the range difference between signal source and receivers for estimating the location of the signal source, has estimation error due to measurement error. In this paper, a new algorithm is proposed to select the real root among calculated roots using the range difference information, and the estimated position of the signal source shows good accuracy compared to the existing method.

• Journal of Fashion Business
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• v.20 no.3
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• pp.89-103
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• 2016

This study examines female new seniors' clothing consumption behaviors, such as their information sources, clothing store selection criteria, and perceived importance of sales associates' attributes, based on their level of clothing involvement. A face-to-face survey was conducted through a market research firm. The subjects of this study were female adults in their 50s and 60s residing in the Seoul metro area (N=197). Significant differences were found in the clothing consuming behaviors of new seniors depending on their clothing involvement(CI). High-CI new seniors tended to place more importance on both personal and non-personal information sources than low-CI new seniors. High-CI new seniors place importance both "merchandise assortment and store atmosphere" and "sales associates and service" when they select stores for clothing than low-CI new seniors. In terms of sales associates' attributes, high-CI new seniors tend to place more importance on customer-orientation than medium- and low-CI groups. Medium- and high-CI new seniors tend to place more importance on appearance than low-CI groups. However, there were no significant statistical differences for professional expertise among the three different CI groups.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.44 no.6
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• pp.49-56
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• 2007

In this paper, the development of excitation light source is proposed for excitation light of the photodynamic therapy of cancer. Since the selection of the wavelength band of excitation light has an interrelation with fluorescence generation according to the selection of a photosensitizer. This study aims at designing and evaluating light source that can stably generate light with various kinds of wavelengths in order to make possible photodynamic diagnosis using a photosensitizer and diagnosis using auto-fluorescence. The light source device was a Xenon lamp and filter wheel, composed of an optical output control through iris and filters with several wavelength bands. It also makes the inducement of auto-fluorescence possible because it is designed to generate a wavelength band of 380-420nm, 430-480nm, 480-560nm. The transmission part of the light source was developed to enhance the efficiency of light transmission. To evaluate this light source device by KFDA#s technical reference, the characteristics of the light output and wavelength band were found.

• Journal of the Korean Society of Costume
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• v.67 no.3
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• pp.47-65
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• 2017

The purpose of this study was to divide respondents by consumption values, and to examine the differences in their cosmetic purchase behavior. Cosmetic purchase behavior consisted of variables such as purchase frequency, purchase amount, place of purchase, purchase reason, reason for using cosmetics, purchase propensity, degree of using information source, and selection criteria. A survey was conducted with 308 women between the ages 20 and 29 from December 5th to 10th 2016. Data collected from the respondents through an Internet survey were analyzed using descriptive statistics, factor analyses, cluster analysis, analyses of variance and chi-square tests. Four consumption value dimensions emerged that were termed emotional, differentiated individuality-pursuing, functional and social value. The respondents were classified into three groups(emotional consumer group, functional consumer group, active consumer group) by cluster analysis using four dimensions of consumption value. The results of the analyses of variance and chi-square tests showed significant differences in purchase frequency, place of purchase, purchase reason, reason for using cosmetics, degree of using information source and selection criteria among groups classified by consumption value. However, there were no differences in purchase amount and purchase propensity among them.