• Journal of Korean Society of Archives and Records Management
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• v.7 no.2
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• pp.113-138
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• 2007

This study was started from a critical mind for the construction records management in South Korea and examined the state of the construction records management system of the Korea Rail Network Authority which is constructing the biggest Express Railway Construction of National Project in Korea. The Methodology of this study is based on the functional requirement of the Records Management International Standard, ISO 15489, which standardized the record management process in the cases of Record Capture, Declaration, Classification, Storage, Access, Tracking and Disposition. In regard to the functional requirements from Capture to Disposition, each level(title) consists of 3 to 4 items, for a total of 22 principles in all. The estimation was created for each of the 22 categories using 4 levels: observance, partial observance, insufficiency and non observance. And pointing out the problem, suggesting the improvements for the Korea Rail Network Authority and structural improvements according to the KS X ISO 15489 principles.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.9-17
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• 2021

With the advancement of big data analysis, artificial intelligence, machine learning, etc., data analytics technology has developed to help with optimal decision-making. However, in certain areas, the lack of data restricts the use of these techniques. For example, real estate related data often have a long release cycle because of its recent release or being a non-liquid asset. In order to overcome these limitations, we studied the scalability of the existing time series through the TimeGAN model. A total of 45 time series related to weekly real estate data were collected within the period of 2012 to 2021, and a total of 15 final time series were selected by considering the correlation between the time series. As a result of data expansion through the TimeGAN model for the 15 time series, it was found that the statistical distribution between the real data and the extended data was similar through the PCA and t-SNE visualization algorithms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.609-616
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• 2019

This paper proposes a design plan of short-term temporary housing for the victims by disaster. Also construction workability and residential environment evaluated by mock-up. In particular, in the event of a disaster, victims have lived the auditorium or gymnasium of the nearby school which is an emergency shelter. However, there was a problem of livability. Therefore, it is the purpose of study to provide temporary housing that resides within 30 days. For this purpose, a composite panel with light weight and insulation select to produce mock-up. The mock-up complete in about an hour. This is because it is made only of the composite panels. The composite panels confirm to be easy to load and construct. And mock-up evaluates insulation and waterproofing performance in the laboratory. As a result, Mock-up has insulation and waterproofing performance. This suggests an alternative to short -term temporary housing.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.475-483
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• 2018

Most of logistics system has difficulties in transportation logistics tracking due to problems in real world such as discordance between logistics information and logistics flow. For the solution to these problems, through case study about corporation, suppliers that transport order items in shopping mall, we retain traceability of order items through accordance between logistics and information flow and derive transportation logistics tracking model. Through literature review, we selected permissioned public block chain model as reference model which is suitable for transportation logistics tracking model. We compared, analyzed and evaluated using centralized model and block chain as application model for transportation logistics tracking model. In this paper we proposed transportation logistics tracking model which integrated with logistics system in real world. It can be utilized for tracking and detection model and also as a tool for marketing.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.457-465
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• 2019

This study was designed to develop a positive behavior support model for children in child care institutions. For this purpose, a demand survey for PBS was conducted with 55 child care institution staff members. 76% of the respondents responded that PBS is needed to prevent problem behavior and can be a good alternative for personality education, and approximately 70% responded that they are willing to implement PBS. The specifications of the model are suggested as follows. First, the preparation step would consist of establishing a support team, educating staff members about PBS, selecting expected behaviors, assessing the current baseline behavior, and setting up a universal PBS environment. The application step would consist of instructing social skills, implementing reinforcement, personal goal-setting and assessing behavior, educating trouble-making students, and monitoring. Finally, at the outcome assessment period, measuring the change in target behavior from the pre-intervention to the post-intervention stage, change in social skills and academic achievement, and social validity is suggested. It is expected that application of this model to children in child care institution will decrease problem behaviors of students, enhance desirable behaviors, and boost the staff members' efficacy.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.319-325
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• 2019

The purpose of this study is to suggest ways to improve the competence and performance of teenage creators through the behavioral comparison. With the recent growth of video streaming services, the number of teenage creators is rapidly increasing. However, research on the video production behavior of teenagers is still limited. Therefore, in this study, we examined the video production behaviors of teenagers and assessed difficulties in each step. This study was conducted with the case study and the empirical study which interviewed the enthusiasts group and the creators group. Experimental results indicated that the editing stage was the most important but the lowest in both groups. In particular, the interest group had a greater burden on the editorial stage than the creator group. Therefore, in order to encourage teenage video production activities, it will be necessary to train them in editing programs or provide easy editing functions.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.6
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• pp.211-222
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• 2021

Recently, frozen and refrigerated appliances on the market are being released with additional IoT functions, but there are few tests on IoT functions. In particular, the existing test system does not have IoT test items for IoT-based frozen and refrigerated appliances, making it difficult for companies to find the cause even if defects occur, and test institutions are also restricted from selecting IoT-related test items and conducting correct performance tests. In this paper, we design a test item framework that can identify product defects and identify causes in the performance test process of frozen and refrigerated products with IoT functions among products in the home appliance field, and propose test methods and management measures using them. Through the proposed research, manufacturers and testing institutions can test the correct performance of IoT-based frozen and refrigerated products, thereby enhancing the completeness and securing reliability of the products.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.206-206
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• 2023

지구온난화로 인한 기후변화에 따라 평균강수량과 증발량이 증가하며 강우지역 집중화와 강우강도가 높아질 가능성이 크다. 우리나라의 경우 협소한 국토면적과 높은 인구밀도로 기후변동의 영향이 크기 때문에 한반도에 적합한 유역규모의 수자원 예측과 대응방안을 마련해야 한다. 이를 위한 수자원 관리를 위해서는 유역에서 강수량, 유출량, 증발량 등의 장기적인 자료가 필요하며 경험식, 물리적 강우-유출 모형 등이 사용되었고, 최근들어 연구의 확장성과 비 선형성 등을 고려하기 위해 딥러닝등 인공지능 기술들이 접목되고 있다. 본 연구에서는 ASOS(동해, 태백)와 AWS(삼척, 신기, 도계) 5곳의 관측소에서 2011년~2020년까지의 일 단위 기상관측자료를 수집하고 WAMIS에서 같은 기간의 오십천 하구 일 유출량 자료를 수집 후 5개 관측소를 기준으로Thiessen 면적비를 적용해 기상자료를 구축했으며 Angstrom & Hargreaves 공식으로 잠재증발산량 산정해 3개의 모델에 각각 기상자료(일 강수량, 최고기온, 최대 순간 풍속, 최저기온, 평균풍속, 평균기온), 일 강수량과 잠재증발산량, 일 강수량 - 잠재증발산량을 학습 후 관측 유출량과 비교결과 기상자료(일 강수량, 최고기온, 최대 순간 풍속, 최저기온, 평균풍속, 평균기온)로 학습한 모델성능이 가장 높아 최적 모델로 선정했으며 일, 월, 연 관측유출량 시계열과 비교했다. 또한 같은 학습자료를 사용해 다층 퍼셉트론(Multi Layer Perceptron, MLP) 앙상블 모델을 구축하여 수자원 분야에서의 인공지능 활용성을 평가했다.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.105-112
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• 2023

This study is an example of a Cinema Therapy class through the movie Life of Pi (2013). Cinema Therapy proceeds through the process of identification, empathy, projection, and observational learning through the cinema. Through research, students objectively examine the situation of the characters in the movie, identify themselves, and empathize with them. Students evaluate the situation of the character in the movie, and indirectly experience the hardships facing the character in the movie through the answer to "What would you do if I were the main character?" and think about what they would do. I admire the outstanding points of the main character and reflect on my life. Through this process, students examine the situation of their emotions and problems and specifically suggest ways to solve them. In the end, students' emotions can be fully healed through the movie. Healing through the cinema should start with the selection of the cinema in consideration of the healer's client. It is also necessary to sufficiently present a specific method of applying this. It is expected that the cinema healing plan will be able to develop further by presenting various healing methods in the future.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4C
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• pp.255-264
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• 2006

The auxiliary reinforcement method is normally applied to prevent a possible collapse of the tunnel face where the ground condition is not favorable or geologic information is not sufficient. Recently, several engineering approaches have been made to choose the effective reinforcement methods using expert system such as neural network and fuzzy theory field, among others. Even if the expert system has offered many decision aid tools to properly select the reinforcement method, the quantitative assessment items are not easy to estimate and this is why the data mining technique, widely used in the field of social science, medical treatment, banking and agriculture, is introduced in this study. Using decision tree together with PDA, the decision aids for reinforcement method based on field construction data are created to derive the field rules and future study will be concentrated on the application of the proposed methods in a variety of underground development cases.