• Quality Improvement in Health Care
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• v.23 no.2
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• pp.69-78
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• 2017

Background: The purpose of this study was to examine associations between classification of the Geriatric Screening for Care-10 (GSC-10) and the Morse Fall Scale (MFS) among elderly inpatients. Methods: Among elderly inpatients aged over 65 admitted to hospital (from November 1, 2016 to July 31, 2017), the data for 5,780 patients (who were evaluated using the Morse Fall Scale and the Geriatric Screening for Care-10) were analyzed using x2-tests and t-tests to examine differences between the GSC-10 and MFS, according to general characteristics of elderly inpatients (i.e., gender) using IBM SPSS Statistics 24. Results: : Scores for the GSC-10 were significantly higher in women than men for depression (p<.001), delirium (p=.048), functional decline (p<.001), incontinence (p<.001), and pain (p<.001). Statistically significant differences in all domains of the GSC-10 for elderly hospitalized patients were found for the classification of fall risk. Conclusion: The findings of this study, as supported by the GSC-10, indicate that the most common problems experienced by the elderly are related to the risk of falling. In order to reduce the incidence of falls in elderly inpatients, customized fall prevention based on the GSC-10 results is necessary.

• Smart Media Journal
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• v.5 no.1
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• pp.61-68
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• 2016

According to increasing SNS users and developing smart devices like smart phone and tablet PC recently, many techniques to classify user emotions with social network information are researching briskly. The use emotion classification stands for distinguishing its emotion with text and images listed on his/her SNS. This paper suggests a method to classify user emotions through sampling a value of a representative figure on a trigonometrical function, a representative adjective on text, and a canny algorithm on images. The sampling representative adjective on text is selected as one of high frequency in the samplings and measured values of positive-negative by SentiWordNet. Figures sampled on images are selected as the representative in figures; triangle, quadrangle, and circle as well as classified user emotions by measuring pleasure-unpleased values as a type of figures and inclines. Finally, this is re-defined as x-y graph that represents pleasure-unpleased and positive-negative values with wheel of emotions by Plutchik. Also, we are anticipating for applying user-customized service through classifying user emotions on wheel of emotions by Plutchik that is redefined the representative adjectives and figures.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.559-560
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• 2017

Recently, as the problem of personal information leakage has emerged, studies on data collection and web document classification have been made. The existing system judges only the existence of personal information, and there is a problem in that unnecessary data is not filtered because classification of documents published by the same name or user is not performed. In this paper, we propose a system that can identify the types of data or homonyms using the crawler and morphological analyzer for solve the problem. The user collects personal information on the web through the crawler. The collected data can be classified through the morpheme analyzer, and then the leaked data can be confirmed. Also, if the system is reused, more accurate results can be obtained. It is expected that users will be provided with customized data.

• Korean Journal of Construction Engineering and Management
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• v.5 no.6 s.22
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• pp.90-100
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• 2004

The importance of information management has been emphasized in Korean construction industry, Both public and private have invested to establish and operate construction CALS, construction management (CM), computer integrated construction(CIC), and earned value management system(EVMS). A standard construction information classification system is essential to operate the systems mentioned above. Therefore, Korean government released Integrated Construction Information Classification System(ICICS) in 2001. However, the ICICS is not widely used in construction due to: 1) difficulty of changing existing system, 2) insufficient publicity of the ICICS, and 3) no legal binding force. Especially, participants in construction do not recognize applicability of the ICICS. This research surveyed the degree of recognition and utilization of the ICICS. This survey includes both customized classification systems used by companies and the ICICS and investigates the degree of utilization and drawbacks. The results show some construction companies use their own classification systems and the others use the ICICS prepared by the government. Furthermore, the degree of recognition is in sufficient. The degree of use in design management, specifications, cost and schedule management is very limited. The publicity and education are critical to induce the utilization of the ICICS. The necessity of revision was recommended based on pilot project study that is performed to measure the degree of application of ICICS on the projects. Therefore, this research proposes the measurement model for information application and analyzes the degree of utilization of the ICICS in different phases of construction.

• Journal of Fashion Business
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• v.21 no.1
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• pp.134-147
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• 2017

The purpose of this study is to analyze fashion brands' contents and characteristics of the participation platform of users, to assess the types and strategies of mass customization(MC). Most fashion brands sell one professional content: Shoes brands were the most common, followed by bags, unisex wear, and menswear. In consumer's design selection elements, changes in color and materials were the most common. For the personalization service elements, monogram service was the most common. The results of MC types analysis were as follows, Customized Standardization was the most common, followed by Tailored Customization, Pure Customization, and Segmented Standardization. For the types according to changes in products and expression methods, Cosmetic was the most common. And the classification according to modulation, Modularizers were the most common. For Creativity, brands in the making stage were the most common. For Flexibility, although brands different methods, high flexibility by modularizing design elements of products and accomplishing various design through participation. The Ease of use for various expression was generally high, parallel to Flexibility. For Durability, because consumers could receive end products only when they participated in the assembly stage in the on-line purchase, their continuous participation was not possible, so they participated only once. The typical types and strategy of MC were analyzed. The Customized Standardization type was the most common in shoes, bag, and womenswear brands. It was the Cosmetic type which could change colors and materials, the Modularizers, and had high Flexibility and Ease of use and low Durability.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.5
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• pp.915-926
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• 2016

The purpose of this study is to classify debris flow hazard zones in urbanized areas using multivariate statistical analyses and to suggest customized management strategies to each areal type. Using field survey data set in Seoul, 49 sample debris hazard zones are selected. Clustering and discriminant analyses show that debris flow hazard zones are classified into two types. Surrounding land use and land slope are major factors influencing to the categorization. The results suggest that, by considering the characteristics of each areal type, more customized management strategies for debris flow hazard are necessary. Particularly, in addition to traditional structural measures, non-structural measures including land use and development control for downstream built-up areas should be emphasized in urbanized areas to mitigate human and property damages from debris flow hazard more fundamentally.

• Fashion & Textile Research Journal
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• v.16 no.4
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• pp.625-634
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• 2014

This study develops a sizing system of mass-customized male suits for wheelchair users. One hundred and three male wheelchair users' 21 anthropometric dimensions were measured to identify body shapes and develop a sizing system. The measured wheelchair users' body sizes were compared with the average body sizes of Korean males from the $6^{th}$ Korean Body Size Survey to understand the body size differences between two groups. As a result of body shape classification using the KS's Drop method, wheelchair user body shapes were classified into four shapes for upper-body (A: 32%, B: 26%, BB: 24%, and Y: 18%), and two shapes for lower-body (B: 70% and A: 30%). The upper-body of wheelchair users was relatively developed than Korean males; however, the lower-body was relatively stunted. The key dimensions of a sizing system were selected as chest circumference, waist circumference, and trunk length, outside leg length based on the correlation analysis between anthropometric measures. The top sizes were determined considering chest and waist circumferences for horizontal sizes, and additionally the trunk length was divided into short, medium, and long groups for vertical sizes. The bottom sizes were selected considering the waist and hip circumferences for horizontal sizes, and additionally their outside leg length was divided into short, medium, and long groups for vertical sizes.

• Smart Media Journal
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• v.4 no.4
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• pp.86-92
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• 2015

Recently, it is entering the hyper connectivity age due to the development of sensor and communication technology. In particular, it is emerging new industries such as the IoT, bigdata, cloud by convergence with the ICT and other industries. Because these industries are high the gravity of the software, the demand for software manpower is increasing rapidly. But university curriculum don't deviate from the traditional curriculum, and lack of positive response to these changes is occurring a mismatch with the industry demand. In this paper, investigate a software curriculums of the four-year university, and will attempt to investigate the perception about the university software course of the corporate perspective. Also, we draw a on-site fitness of universities training course by analysis of importance on software training courses between universities and businesses. Finally, we propose a strategy model for software training course design appropriate for the field.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.3
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• pp.343-372
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• 2021

The purpose of this study is to select keywords that can recommend books by personality type, and to test whether the chosen keywords can be actually used in the categorization and customized recommendation of books for each personality type. To achieve the research goal, this study chose books that match the level of fifth and sixth grade elementary school students and first grade middle school students and commissioned an expert group to categorize the books into groups that are preferred by each personality type. As a result of the classification, half of the books in which more than five experts agreed showed high consensus. In addition, the results of classifying books by personality type with keywords extracted by the automatic word extraction system by collecting the book review data of the selected books were similar to the results of the final judgement by the expert group, except for a few books. In conclusion, this study proved that it is possible to classify and recommend books that are likely to be preferred by different personality types using review keywords.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.137-146
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• 2021

Recently, public participation in government policy design has been further expanded and public services perceived by users are expanding. At this time, the role of the digital government and the direction of the service to be pursued are user-centered, and above all, it is necessary to focus on the keywords of pre-emptive, preventive, and customized. In order to propose service quality improvement in the public sector, service user-centered classification and monitoring are integrated and the usability of government documents is improved. It is necessary to identify the needs of whether to provide a path for public participation. In the post-corona era, people are accessing quarantine information from the digital government every day. The government should proactively respond to the acceleration of digital transformation and the non-face-to-face demands of the people who experience non-face-to-face daily life. In order to evolve into a smart organization along with the innovation promotion plan and to provide customized services, it is necessary to use existing guides for institutional and technical improvement, along with new technology and data-based analysis, to strive for change management. The government should seek counter-measures that have advanced one step ahead by incorporating new high-tech IT with user-centered necessary services. This study aims to derive improvement plans to provide user-centered digital government service design when designing public services and collecting public opinions. Based on the e-government development model research and the existing research on user-centered service design in the public sector, institutional and technical measures are provided for the improvement of digital government service design.