• International Journal of Contents
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• v.1 no.2
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• pp.26-30
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• 2005

According to the fast growth of information on the Internet, it is becoming increasingly difficult to find and organize useful information. To reduce information overload, it needs to exploit automatic text classification for handling enormous documents. Support Vector Machine (SVM) is a model that is calculated as a weighted sum of kernel function outputs. This paper describes a document classifier for web documents in the fields of Information Technology and uses SVM to learn a model, which is constructed from the training sets and its representative terms. The basic idea is to exploit the representative terms meaning distribution in coherent thematic texts of each category by simple statistics methods. Vector-space model is applied to represent documents in the categories by using feature selection scheme based on TFiDF. We apply a category factor which represents effects in category of any term to the feature selection. Experiments show the results of categorization and the correlation of vector length.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.35.2-35
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• 2001

This paper is concerned with the problem of how to detect paint type defects on painted slates using machine vision. We begin by outlining the motivations for this research and present a review of research in related areas before proceeding with a process description and a categorization of typical paint defects. We describe the test bed built to replicate factory conditions and the testing of image capture techniques. We discuss problems we confronted such as getting a sufficiently strong signal level from the slate, the effects of the slate surface profile on image capture and how we dealt with these problems. The third principal challenge was to generate a strong signal to noise ratio for each defect type so that a computationally inexpensive image processing method becomes viable. We demonstrate ...

• Proceedings of the Optical Society of Korea Conference
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• 1989.02a
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• pp.235-241
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• 1989

Static according tests were carried out on a series of amorphous TbFe thin films of various composition under a constant laser irradiation condition. Examination of recorded domain configurations by using polarizing microscope led to the categorization of domain characteristics into 3 distinctly different types; i.c., type A: circular domains with smooth boundaries, the size not sensitive to variation of bias field, type B: domains of irregular shape at low bias, the size increasing and the boundaries getting smoother and more circular with increasing bias field and type C: not recordable. Critical factor which distinguishes among each types was fond to be the relative magnitude of H and H of the film near T, regardless of constituent atomic species. Micromagnetical process of thermomagnetic recording cycle was analyzed scheniatically for each type.

• Journal of the Korean Society of Food Culture
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• v.38 no.2
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• pp.83-98
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• 2023

This study summarizes the research methods, subjects, research processes, and achievements of major researchers by analyzing previous research results on Korean food history. The goal of the current study aimed to seek the methodology and direction of 'food history research'. Literature data from 1945 to 2022 were examined. Results of excavation research on ancient food literature were divided into the following stages: the 1980s, when the foundation for 'cataloging' was laid, and the 2000s, when 'digitization' was achieved. Achievements of each period were collected, and the achievements and limitations were analyzed. Next, the research results were classified into 'Food technology history', 'Recipe change history', and 'Food culture and dietary history'. We observed that around the 2000s, anthropology and folklore research perspectives were reflected, and the research on 'history of diet' reached a turning point. Our results indicate the possibility that food history can develop as a special historical area. This could be achieved by establishing an exchange system with other disciplines and creating a systematic curriculum.

• Asia Marketing Journal
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• v.20 no.3
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• pp.63-81
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• 2018

This research examines how the announcement of a celebrity endorsement contract with a brand can influence consumers' judgment of its future growth in a market. Using both behavioral experiments and an event study analysis, we find that when the brand is perceived to be technology-focused (versus marketing-focused), the information about the celebrity contract can lead consumers to view the brand's future as less promising. Furthermore, we identify consumers' inferences about the quality of the brand as a psychological factor underlying this effect. This paper provides evidence that star-marketing can sometimes signal management's misjudgment about resource allocation for a brand, which unduly invests in celebrity marketing at the expense of quality improvement for the product.

• Nuclear Engineering and Technology
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• v.55 no.2
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• pp.792-799
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• 2023

Non-reactor nuclear facilities are increasing remarkably in Korea combined with advanced technologies such as life and space engineering, and the diversification of the nuclear industry. However, the absence of a basic classification guideline related to the design of non-reactor nuclear facilities has created confusion whenever related projects are carried out. In this paper, related domestic and international technical guidelines are reviewed to present the classification criteria of non-reactor nuclear facilities in Korea. Based on these criteria, the classification of structures, systems and components (SSCs) for safety controls is presented. Using the presented classification criteria, classification of a hot cell facility, a representative non-reactor nuclear facility, was performed. As a result of the classification, the hot cell facility is classified as the hazard category 3, accordingly, the safety class was classified as non-nuclear safety, the seismic category as non-seismic (RW-IIb), and the quality class as manufacturers' standards (S).

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.89-97
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• 2020

There are remains of Japanese gardens in Korea which were built during Japanese occupation in 1910-1945. However, systematic database has not been established for location, quantity, nor types of remaining gardens. This study is aimed at defining current status of Japanese gardens built in Korea. By categorizing types of remaining these Japanese gardens, we also aimed to build a systematic data base for Japanese gardens in Korea. This study was co-conducted by researchers from Korea and Japan. The team identified 17 Japanese gardens remaining in South Korea and categorized them into 4 groups; 1) Japanese garden built by Japanese in modern Japanese house in South Korea, 2) Japanese garden built by Korean in traditional Korean garden and 3) Garden built by Japanese in temples in Korea. (at request by Koreans). This categorization reveals information about the inflow of Japanese gardening culture into Korea and deserves to be an important part of modern gardening History. And the rest are 4) Japanese gardens built at Korean residence, but with much damage and alternation. In this paper, we present the findings to serve as preliminary data for defining Korean traditional gardens and for utilizing Japanese gardens in Korea as historical and cultural infrastructure.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.5 no.3
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• pp.40-49
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• 2002

The objective of this research is to suggest the appropriate natural environment conservation facility management plan in Korea through development of the proper definition and categorization. Bearing the above objective, this study employs the comparison and analysis between domestic and international case studies. Furthermore, several survey methods have been adopted as check-lists for the evaluation of the sample sites and quantitative interviews with government officials and visitors to investigate their perspectives. On the consequence, firstly it was found that considering ecological types and objectives, the proper applicability of natural environment conservation facility could be disaggregated into three types of eco-park, eco-experience and education, and eco-observation facility. Secondly, based on the interview results, the necessity of provision of the natural environment conservation facilities was strongly found among the governmental officials and the residents groups who also expect the expansion of the facilities. Lastly, it appears necessary that the expansion of supporting projects and programs on the natural environment conservation facilities, the estimation and provision of the appropriate funding for monitoring, management and operation, the arrangement of resident experts, and activation of the nature environment education programs.

• Journal of the Korea Institute of Military Science and Technology
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• v.9 no.1 s.24
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• pp.135-143
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• 2006

This paper describes a requirement architecture modeling for the front end of KT-1 export version requirement definition processes to construct SDS(system development specification). The requirement definition process is a highly conceptual process that is difficult to carry out. This paper focuses on how to perform the KT-1 export version requirements definition process including the integration of process, methods and tools for the front-end activity of requirements definition process. This requirement model is structured in four segments, including requirement layering, requirement categorization, life cycle stakeholder and requirement definition process using Computer-Aided Systems Engineering tool(CORE).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.3725-3748
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• 2018

Text data distribution is often imbalanced. Imbalanced data is one of the challenges in text classification, as it leads to the loss of performance of classifiers. Many studies have been conducted so far in this regard. The proposed solutions are divided into several general categories, include sampling-based and algorithm-based methods. In recent studies, feature selection has also been considered as one of the solutions for the imbalance problem. In this paper, a novel one-sided feature selection known as probabilistic feature selection (PFS) was presented for imbalanced text classification. The PFS is a probabilistic method that is calculated using feature distribution. Compared to the similar methods, the PFS has more parameters. In order to evaluate the performance of the proposed method, the feature selection methods including Gini, MI, FAST and DFS were implemented. To assess the proposed method, the decision tree classifications such as C4.5 and Naive Bayes were used. The results of tests on Reuters-21875 and WebKB figures per F-measure suggested that the proposed feature selection has significantly improved the performance of the classifiers.