• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1689-1701
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• 2019

In recent years, personal videos have been shared online due to the popular uses of portable devices, such as smartphones and action cameras. A recent report predicted that 80% of the Internet traffic will be video content by the year 2021. Several studies have been conducted on the detection of main video events to manage a large scale of videos. These studies show fairly good performance in certain genres. However, the methods used in previous studies have difficulty in detecting events of personal video. This is because the characteristics and genres of personal videos vary widely. In a research, we found that adding a dataset with the right perspective in the study improved performance. It has also been shown that performance improves depending on how you extract keyframes from the video. we selected frame segments that can represent video considering the characteristics of this personal video. In each frame segment, object, location, food and audio features were extracted, and representative vectors were generated through a CNN-based recurrent model and a fusion module. The proposed method showed mAP 78.4% performance through experiments using LSVC data.

• Archives of design research
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• v.14
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• pp.267-281
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• 1996

One product has so many different kind of user groups and each user group has different characters and needs of use. So, designer has difficulty in definding which group is major or sub in a product, what kind of characters and needs does that group has. In this study, we classify the user upon three factors ; accuracy of rules, speed of action, speed of problem solving and propose design guideline for the classifed user group. The results of this study will be applied to more user-friendly design approach.

• Korean Journal of Microbiology
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• v.38 no.1
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• pp.19-25
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• 2002

Colletotrichum species are important fungal pathogen that cause great damages on various host plant species worldwide. In Korea, Colletotrichum species cause massive economic losses on apple, peach, grape, and essecially, sweet persimon productions. In the past, Identification of the pathogen and the studies on the genetic relationships among the pathogenic isolates were mainly based on morphology, cultural characteristics, and the difference in pathogenicity. However, in recent years, these traditional methods have been replaced with molecular methods to solve the difficulty of classification on pathogens. Therefore, in this study, RAPD and PCR-RFLP methods were employed for the studies of genetic relationship among the different isolates of Colletotrichum species that cause damages on sweet persimon. As a results of genetic relationship analysis, Colletotrichum species tested were divided into two big groups or five small groups.

• Journal of Families and Better Life
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• v.31 no.2
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• pp.41-57
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• 2013

This paper analyzed the implementation process of experts managing the case of grandparent and grandchildren families in the case management process, as the useful approach to strengthen the function of grandparent and grandchildren family. The methodology were the analysis on 6 management cases by step and the analysis on the interview with 3 experts implementing the case management on grandparent and grandchildren families. As a result, major complaints from grandparent and grandchildren families were basic livelihood and economy area, physical and mental health area, child care and education area and culture area. The service goals were set by such classification and support service was provided using the internal and external resources. The case management process was effective for improving the satisfaction on life by positively changing the grandchildren and promoting the psychological and emotional stability. 6 cases were under the post management after the analysis was completed and linked to the program 'Reinforcement of Family Ability of Grandparent and Grandchildren Family.' In accordance with the interview with the experts in case management, the grandparent and grandchildren family case management was characterized by high dependency and difficulty in expressing the desires. They required the long-term approach as well as the approach to restore the relationship with the original family.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.55-62
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• 2013

Automatic inspection system is required for increment of copper plate production and demand expansion. Thus 3D surface form and defect detection of copper plate calls for 3D image and GUI analysis. Limitation of 2D analysis, such as error occurrence and decision difficulty makes eye inspection automatic. Automatic inspection is able to raise accurate inspection rate and productivity efficiency elevation. In this paper defect classification is defined and inspection system is implemented. Defect analysis algorithms and GUI for 3D image analysis is developed and tested.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.678-685
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• 2002

e-business curriculum needs to be developed reflecting requirements of the stakeholder which involve a close relation with a industrial and educational job performed in the field. In this paper, we present a new methodology for developing a market-oriented and stakeholder-led e-business curriculum using quality function deployment(QFD) and conjoint analysis. For this purpose, we analyze the data resulting from the surveyed opinions of respondents working for e-business companies, the interviewed results with professors and students and evaluate the importance of each course being involved in the curriculum with respect to the job classification (e.g.. Web planner. Web master. Web programmer. Web marketer. Web designer), and then. complete a curriculm flow diagram(CFD) considering precedence and relative difficulty among the selected courses. The e-business curriculum developed by the proposed method is useful to provide guidelines for determining courses required toward a desired job and for making a partial amendment of the curriculum.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.223-229
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• 2014

In an attempt to retrieve useful information for an efficient decision in the large knowledge system, it is generally necessary and important for a refined feature selection. Rough set has difficulty in generating optimal reducts and classifying boundary objects. In this paper, we propose quick reduction algorithm generating optimal features by rough entropy analysis for condition and decision attributes to improve these restrictions. We define a new conditional information entropy for efficient feature extraction and describe procedure of feature selection to classify the significance of features. Through the simulation of 5 datasets from UCI storage, we compare our feature selection approach based on rough set theory with the other selection theories. As the result, our modeling method is more efficient than the previous theories in classification accuracy for feature selection.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1033-1039
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• 2013

Recently, as the product life cycle becomes shorter and customer needs becomes various, it has a great difficulty in managing the product information without the information technology. In this paper, we discuss how to classify numerous BOMs types and propose three categories-Structure-BOM, Display-BOM and Function-BOM for BOMs classification. Based on this result, we design the integrated BOMs management system with ERD(Entity-Relaion-Daiagram) model. This paper presented the methodology for management speed-up and communication innovation in the automotive industry, which incorporated the enterprise-wide product information. The proposed enterprise-BOM design methods also systemized the data related to automotive's principal attributes such as types of levels, options, colors, and consumers' orders. Efficient and flexible development of products can be achieved in the frequently varying environment of products.

• The Journal of KAIRB
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• v.4 no.2
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• pp.36-41
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• 2022

Purpose: The purpose of this study is to evaluate how university hospital Institutional Review Boards (IRBs) in Korea classify risk when reviewing clinical trial protocols. Methods: IRB experts (IRB chairman, vice chairman, IRB administrator) in the university hospitals obtaining a Human research protection program (HRPP) or IRB accreditation in Korea were asked to fill out the Google Survey from September 1, 2020 to October 10, 2020. Result: Among the 23 responder hospitals, 8 were accredited by the American Association for Human Research Protection Program (AAHRPP) and 8 were accredited by the HRPP of Ministry of Food and Drug Safety (MFDS). Seven were accredited by Forum for Ethical Review Committees in Asia and the Western Pacific or Korea National Institution for Bioethics Policy. Thirteen of 23 hospitals (56.5%) had 4 levels (less than minimal, low, moderate, high risk), 4 hospitals had 3 levels (less than, slightly over, over than minimal risk), 1 hospital had 5 levels (4 levels plus required data safety monitoring board), and 1 hospital had 2 levels (less than, over than minimal risk) risk classification system. Thirteen of 23 hospitals (56.5%) had difficulty classifying the risk levels of research protocols. Fourteen hospitals (60.9%) responded that different standards among hospitals for risk level determination associated with clinical trials will affect the subject protection. Six hospitals (26.1%) responded that it will not. Three hospitals (13.0%) responded that it will affect the beginning of the clinical trial. To resolve differences in standards between hospitals, 14 hospitals (60.9%) responded that either the Korean Association of IRB or MFDS needs to provide a guideline for risk level determination in clinical trials: 5 hospitals (21.7%) responded education for IRB members and researchers is needed; 3 hospitals (13.0%) responded that difference among institutions needs to be acknowledged; and 1 hospital (4.3%) responded that there needs to be communication among IRB, investigator, and sponsor. Conclusion: After conducting a nationwide survey on how IRB in university hospital determines risk during review of clinical trials, it is reasonable to use 4-level risk classification (less than minimal, low, moderate, high risk); the most utilized method among hospitals. Moreover, personal information and conflict of interest associated with clinical trials have to be considered when reviewing clinical trial protocols.

• Journal of Korea Technology Innovation Society
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• v.18 no.3
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• pp.387-415
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• 2015

In this study, we have proposed an estimation model of domestic market size using the linking between standard statistical classification systems, and reviewed the practical applicability of the model. The results of the mining and manufacturing survey of Statistics Korea conducted on the basis of KSIC (Korea Standard Industrial Classification) and Korea trade statistics based on HS (The Harmonized Commodity Description and Coding System; Harmonized System) classification were linked for the model by using the correspondence tables provided by Statistics Korea and United Nations Statistics Division. The most serious problem to adopt the integrated KSIC-ISIC-HS correspondence table for the estimation of domestic market size is the complex multiple linkages among KSIC and HS codes. In this study, we have suggested the method to divide the amount of trade corresponding to the HS codes linked to more than two ISIC codes based on the ratio of shipments corresponding to the ISIC codes as the weight. Then, it is possible to analyze the domestic market size of 125 ISIC codes in the manufacturing industry and to forecast the market size in the near future by using the model. Although the model has some limitations such as the difficulty in analysis on more subdivided items than ISIC items, the impossibility of the analysis on items in industries except for manufacturing, errors in the shipment due to some missing data, this study has significance in the sense that it provided the analysis method of domestic market size by using the most objective, reliable and sustainably useful data.