• Journal of Digital Convergence
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• v.14 no.6
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• pp.489-498
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• 2016

The purpose of this study was to evaluate selective attributes importance and satisfaction of University Ski Lecture Environment that students perceive using IPA method. In order to achieve this goal, a questionnaire was used to gather data, and the convenient sampling method was used to select 300 members from three pertinent university in Seoul and Chungcheong-do, Gyeongsang-do Province as participants of this study. Only data from 221 respondents however were used after screening data for reliability, and SPSS for Windows(21.0 version) statistical program was used to conduct descriptive analysis, factor analysis, reliability analysis, paired samples t-test analysis, independent samples t-test analysis and IPA matrix analysis. The following results were obtained. First, significant differences between the level of satisfaction and the level of importance were found for part of the selection attributes for each group. Second, Iquadrant was included with meals and information provided factors. IIquadrant was included with instructors and class program, information provided, accommodation factors. IIIquadrant was included in accommodation and meals, time-distance factors. IVquadrant was included in the information provided factor.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.407-414
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• 2015

This study was executed to be used as the basic data for the improvement of hospital therapy by analyzing the characteristic of principal diagnosis of pure death patients. 428 pure death patients were selected as study subjects out of 1992 dead patients at K university hospital in Daejeon city for three years in 2011, 2012, 2013, and chi-squared test and fisher's correct tests and canonical correlation analysis were used as analysis methods. In the analysis results about general characteristic and top 4 canonical correlation analysis, pneumonia(J18) of organism unspecified and toxic action(T60) of pesticide showed significant results among the principal diagnosis. In the pneumonia of organism unspecified(J18), significant results were identified with the order of car insurance, ages from 15 to 29, health insurance and medical benefits, and in the toxic action of pesticide(T60), significant results were identified with the order of health insurance, medical benefits, car insurance, ages from 45 to 59, Sejong Chungnam. In conclusion, in order to reduce the death of elderly population, quality improvement in medical service and establishment of emergency medical service delivery system are very important to reduce pure death patients.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.125-137
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• 2021

This study was intended to develop a prototype of new Hanbok Cheollik one-piece based on design extracted through a preference survey on new Hanbok Cheollik one-piece. Through this, it was intended to provide information on patterns that are fundamental to the production of new Hanbok Cheollik one piece. The pattern of the experiment was produced by modifying D pattern, which was selected as excellent in the comparison of commercial Cheollik one-piece patterns. The SPSS 26.0 program was used to analyze the appearance evaluation of patterns. As a result of the 1^st evaluation of appearance and garment pressure, the shoulder, sleeve length, skirt length and sleeve width required modification, reducing the sleeve length by 8.0cm and the sleeve width by 1.0cm in total. The length of the skirt was reduced by 5.0cm and the shoulder end point was reduced by 0.5cm on both sides to modify the shoulder width. As a result of the 2^nd evaluation, the waist area, sleeve width, and skirt wrinkles were required to be corrected, reducing 2.0 cm waist width and 1.0 cm sleeve width and removing wrinkles on the front center and side area. The final pattern was highly appreciated. In future studies, it is thought that research should be conducted through study of Cheollik one-piece pattern according to material and age and the actual wearing experiment according to fabric and age.

• Journal of Cadastre & Land InformatiX
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• v.48 no.2
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• pp.137-151
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• 2018

Recently, National interest has been rising due to earthquakes in Gyeongju and Pohang, disasters caused by landslides, landslides, and sinkholes around construction sites, and damage caused by disasters. SAR is able to detect ground displacement in mm for wide area, collect data through satellite, predict timeliness of crustal change by time series analysis, and reduce disaster and disaster damage. The purpose of this study is to investigate the latest SAR interference analysis technique (SqueeSAR analysis technique) of Sentinel-1A satellite (SAR sensor) of European ESA for about 3 years by selecting the 1st landfill site in the metropolitan area in Incheon, The settlement amount was calculated in a time series. Especially, in order to examine the accuracy of the subsidence and subsidence tendency by the SqueeSAR analysis method, the ground level survey was compared and analyzed for the first time in Korea. Also, the tendency of the subsidence trend was predicted by analyzing the time series and correlation trend of the subsidence for three years. Through this study, it is expected that disaster prevention and disaster prevention such as sinkhole and landslide can be utilized from time series monitoring of crustal variation of the land.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.4
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• pp.73-89
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• 2021

Establishing career goals and making a career choice is the most crucial task for college students. This study aims to identify the motive of college students' career choices and analyze the relationship between career capabilities and career decision-making in order to provide basic materials that can assist college students in the career decision-making process. To do this, a survey was conducted among college students attending a D university in Busan. A total of 326 survey responses were selected for analysis, and path analysis was conducted using SPSS 25 and AMOS 25. The results of the study are as follows. First, intrinsic motivation for career choice and extrinsic motivation for career choice were found to affect career consideration and career management capabilities, respectively, with statistical significance. Second, career consideration and career path management capabilities influenced both concreteness and confidence, which are elements of career decision-making with statistical significance. Intrinsic motivation for career choice and extrinsic motivation for career choice affected concreteness and confidence in career decision-making with career consideration and career management capabilities as parameters. These findings imply that in order to increase the concreteness and confidence in the career decision-making of undergraduate students, it is necessary to strengthen their career consideration and career management capabilities. As the unemployment rate of youths rises and the types and specialization of jobs increase amid uncertainty in the future employment conditions, undergraduate students face increasing difficulties in career decision-making. The results of this research are expected to be used as basic materials for the career decision-making of undergraduate students, which will assists in career path consultation and guidance in universities.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.6
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• pp.181-190
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• 2021

Sports activities conducted by multiple people are difficult to proceed in a situation where a widespread epidemic such as COVID-19 is spreading, and this causes a lack of physical activity in modern people. This problem can be overcome by using online exercise contents, but it is difficult to check detailed postures such as during face-to-face exercise. In this study, we present a model that detects posture and tracks movement using IT system for better non-face-to-face exercise content management. The proposed motion tracking model defines a body model with reference to motion analysis methods widely used in physical education and defines posture and movement accordingly. Using the proposed model, it is possible to recognize and analyze movements used in exercise, know the number of specific movements in the exercise program, and detect whether or not the exercise program is performed. In order to verify the validity of the proposed model, we implemented motion tracking and exercise program tracking programs using Azure Kinect DK, a markerless motion capture device. If the proposed motion tracking model is improved and the performance of the motion capture system is improved, more detailed motion analysis is possible and the number of types of motions can be increased.

• Informatization Policy
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• v.29 no.1
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• pp.60-83
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• 2022

The purpose of this study is to empirically analyze the effect of individual perception of artificial intelligence and the level of digital literacy on the acceptance of artificial intelligence-based public services. For empirical analysis, a research model was set up based on the technology acceptance model and planned behavior theory using survey data of 2017 and analyzed through structural equations. To summarize the results of the analysis, firstly, the positive perception of individuals about artificial intelligence technology plays a role in reinforcing attitudes toward benefits and reducing concerns about public service in which artificial intelligence technology has been introduced. Secondly, the level of digital literacy reinforces both benefits and concerns about artificial intelligence technology, but it was found that the intention to use public services was reinforced through the benefits of artificial intelligence technology perceived by individuals, rather than privacy concerns about artificial intelligence technology. Thirdly, it was confirmed that the perceived benefits of individuals on artificial intelligence technology reinforced the intention to use public civil services, and privacy concerns negatively influenced the intention to use. It was confirmed that the influence of a perceived ease of use and usefulness, as opposed to privacy concerns, further reinforces the intention to use. Both citizens' positive perceptions regarding the accuracy and reliability of information provided through artificial intelligence technology and institutional complementation of responsibility for errors caused by artificial intelligence technology are strengthened, and technical problems related to privacy protection are solved.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.794-801
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• 2021

Purpose: The effectiveness of the transport vehicle management system of the Chemical Substances Control Act will be studies and used as basic data for future system improvement plans. Method: After the enforcement of the Chemical Substances Control Act, the effectiveness for the transport vehicle management system was studies by comparing the transport plan, guidance and inspection status, safety training completion management, ect., and the reduction rate of chemical accidents. Results: The average number of chemical accidents in transport vehicles nationwide is 20 each year. And It is decreasing with the stabilization of the Chemical Substances Control Act('15.1.1). The first reason for the decrease in chemical accidents is the increase in submission of transport plans. Second, as the guidance and inspection rate increased every year, the shipper company's management of transport companies was naturally strengthened. Finally, it is judged that chemical accident caused by transport vehicles decrease through safety education. Conclusion: The current tranport vehicle management system of the Chemical Substances Control Act is effective. However, further research is needed to improve the practical and efficient transport vehicle management system.

• Design Convergence Study
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• v.16 no.3
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• pp.103-118
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• 2017

It is expected that the integrated control service of the public sector will be increased for the safety of citizens in the future. Therefore, In this study, we analyzed the classification of CCTV control center and the characteristics of interior design. The survey was conducted at eight control centers in Seoul that were constructed since 2007 and analyzed according to the criteria of general matters, services, spatial basic information, spatial structure, and internal structure. The results of the survey are summarized as follows. Based on the results of the study, the Integrated Control Center is a space where the ratio of the physical environment is not high but performs important tasks for the citizens of the city, which are operated 24 hours a day, and security and security. It is characterized by the efficient space allocation for the treatment, the design of the moving line, and the connection according to the urgent work flow. The results of this study are expected to be used as basic data for other integrated control center environment.

• Smart Media Journal
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• v.12 no.10
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• pp.93-101
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• 2023

Climate change has emerged as a global problem, with frequent temperature increases, droughts, and floods, and it is predicted that it will have a great impact on the characteristics and productivity of crops. Cnidium officinale is used not only as traditionally used herbal medicines, but also as various industrial raw materials such as health functional foods, natural medicines, and living materials, but productivity is decreasing due to threats such as continuous crop damage and climate change. Therefore, this paper proposes a model that can predict the physiologically active ingredient index according to the climate change scenario of Cnidium officinale, a representative medicinal crop vulnerable to climate change. In this paper, data was first augmented using the CTGAN algorithm to solve the problem of data imbalance in the collection of environment information, physiological reactions, and physiological active ingredient information. Column Shape and Column Pair Trends were used to measure augmented data quality, and overall quality of 88% was achieved on average. In addition, five models RF, SVR, XGBoost, AdaBoost, and LightBGM were used to predict phenol and flavonoid content by dividing them into ground and underground using augmented data. As a result of model evaluation, the XGBoost model showed the best performance in predicting the physiological active ingredients of the sacrum, and it was confirmed to be about twice as accurate as the SVR model.