• Korean Journal of Social Welfare
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• v.37
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• pp.271-306
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• 1999

This study aimed to present a comprehensive case management model which might be helpful for social workers in community social welfare agencies who works with North Korean refugees for their psychosocial adjustment in South Korea. After being constructed, the model was put into practice upon North Korean refugees. This article described the whole process of model construction and its application. Detail steps taken in this research include: (a) The researcher had 20 unstructured individual interviews with 11 North Korean refugees in order to identify psychosocial problems that need social workers' intervention; (b) Based upon the problems identified through interviews and previous literature review, program components were identified and sorted out into two phases, one of which is therapeutic phase, the other is case management phase; (c) By interlocking the two phases, the researcher proposed a comprehensive case management model whereby North Korean refugees can get psychosocial services as well as linkage services in an interactive fashion; (d) The utility of the proposed model was examined by using a couple of North Korean refugees who initially showed complicated psycho-social-economic problems. The therapeutic phase employed a cognitive-behavioral approach. The case management phase consists of: assessment and diagnosis; service planning and resource identification; linking of clients to needed services; monitoring of service delivery; and evaluation. Although the program could not go through with because of the limited contacts with North Korean refugees for security reasons, the program was turned out to be very useful in helping North Korean refugees' settling-down in South Korea. Implications for the application of the proposed model was discussed along with limitations of this study.

• Korean Journal of Construction Engineering and Management
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• v.10 no.4
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• pp.139-150
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• 2009

Objective of Urban regeneration is a recovery of urban utilities through a physical, environmental, cultural, industrial and economic regeneration. The current paradigm of urban regeneration is not a simple redevelopment as physical redevelopment or improvement. This study is proposed that value system management applied the benefit management, value system, Quality Function deployment for a value conflict of urban regeneration. There is a reason to conflict value that value system is unstructured. Because this study is proposed to establish the process of value system, and applied this process to Se-woon 4th area urban regeneration project. This study is analyzed to divide value system of urban regeneration program into city level, district level, zone level in district. An analysis of value system obtained through '2020 urban master plan', 'the downtown recreate a comprehensive plan', 'Se-woon New town plan'. It is proposed that value system management method through Between values correlation analysis and the order of priority deduction. These are obtained to use Delphi technique and Analytic Hierarchy Process(AHP)

• Industry Promotion Research
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• v.5 no.1
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• pp.63-72
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• 2020

This study is to consider that group art therapy is necessary for the psychological adaptation that children of multicultural families need in the growth process, and discusses the effects of group art therapy. The research results are as follows. First, children from multicultural families were able to express themselves gradually through art work experiences and interactions with researchers, and experienced the objectification, acceptance and resolution of their emotions, thoughts and inner desires through artistic expression. Second, children from multicultural families were newly aware of themselves in an unstructured group art therapy environment that promoted active self-expression, spontaneity, and emotional expression, and gradually experienced an active attitude, that is, recovery of spontaneity. Third, children of multicultural families were able to develop positive self-concept in the process of group art therapy experience. In conclusion, by applying the group art therapy program, children who are experiencing difficulties in the psychological adaptation of children of multicultural families through the unique unique aspects of art therapy can provide a place where they can talk with each other in ways that language alone could not. have.

• Journal of Korean Critical Care Nursing
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• v.11 no.2
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• pp.75-85
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• 2018

Purpose : The purpose of this study was to examine the possible direction of critical care nursing research in the future by analyzing the trends of recent Korean studies. Method : Using a database search, we selected 263 articles on critical care nursing that were published in Korean journals between 2008 and 2017. Then, we conducted an integrative review of the contents of the selected articles and analyzed the English abstracts using the relevant packages and functions of the R program. Results : The number of studies concerning critical care nursing has increased over the 10-year period, and the specific topic of each study has diversified according to the time at which it was conducted. In terms of quality, the majority of the research was published in high-level academic journals. The key words regularly studied over the past decade were: knowledge, delirium, education, restraint, stress, and infection. Studies related to vancomycin-resistant enterococci infection, compliance, and standards have decreased, while studies related to death, communication, and safety have increased. Conclusion : Randomized controlled trials and protocol research for evidence-based critical care need to be conducted, as does research on family involvement. The key word analysis of unstructured text used in this study is a relatively new method; it is suggested that this method be applied to various critical care nursing research and develop it methodologically.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.35 no.4
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• pp.287-294
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• 2007

A static aeroelastic analysis for supersonic aircraft wing equipped with external store under the wing lower surface is performed using computational fluid dynamics (CFD) and computational structural technology(CST) coupling methodology. Two mapping algorithms, which are the pressure mapping algorithm and the displacement mapping algorithm, are used for CFD/CST coupling. A three-dimensional unstructured Euler code and finite element analysis program are used to calculate the flow properties and the structural displacements, respectively. The coupling procedure is repeated in an iterative manner until a specified convergence criterion is satisfied. Static aeroelastic analysis for a typical supersonic flight wing is performed and final converged wing configuration is obtained after several iterations.

• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.39-47
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• 2021

This study was conducted to propose a product planning prediction model using logistic regression algorithm to predict seasonal factors and rapidly changing product trends. First, we collected unstructured data of consumers in portal sites and online markets using web crawling, and analyzed meaningful information about products through preprocessing for transformation of standardized data. The datasets of 11,200 were analyzed by Logistic Regression to analyze consumer satisfaction, frequency analysis, and advantages and disadvantages of products. The result of analysis showed that the satisfaction of consumers was 92% and the defective issues of products were confirmed through frequency analysis. The results of analysis on the use satisfaction, system efficiency, and system effectiveness items of the developed product planning prediction program showed that the satisfaction was high. Defective issues are very meaningful data in that they provide information necessary for quickly recognizing the current problem of products and establishing improvement strategies.

• Journal of the Korea Society for Simulation
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• v.28 no.2
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• pp.149-158
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• 2019

This paper introduces an integrated Modeling & Simulation framework for the efficient development of the rescue robot which rescues a wounded patients or soldiers and disposes a dangerous objects or explosive materials in the battlefields and disastrous environments. An integrated M&S(Modeling & Simulation) framework would have enabled us to perform the dynamic simulation program GAZEBO based Software-in-the-Loop Simulation(SILS) which is to replacing the robot platform hardware with a simulation software. An integrated M&S framework would help us to perform designing robot and performance validation of robot control results more efficiently. Furthermore, Tele-operation performance in the unstructured environments could be improved. We review a case study of applying an integrated M&S framework tool in validating performance of mobility stabilization control, one of the most important control strategy in the rescue robot.

• Human Ecology Research
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• v.60 no.2
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• pp.187-209
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• 2022

The objective of this study was to conduct a 'Theory of Home Economics Education' class using online problem-based learning(PBL) for prospective home economics(HE) teachers. The aim was to enable teachers to analyze the learning experience in the classroom, and to prepare operational strategies for online PBL on this basis. In order to achieve this, online PBL was applied to 31 students participating in the 'Theory of Home Economics Education' at the Department of HE in a university in Seoul, and the results were collected from the learning process. This also involved a reflective journal, a survey on the learning experience and the impacts was conducted. Moreover, analysis was undertaken on the learning activities, learning difficulties, and improvements. The main research results are as follows. Firstly, students accessed Webex, an online video conferencing program, and performed two PBL tasks: 'Making Home Economics Promotion Materials' and 'Presenting Teaching Strategies to Improve Learner's Immersion in Online Classes'. Secondly, learners established their own identity of HE learned about the HE class plans themselves. They also encountered realistic experience as HE teachers and learned communication and collaboration skills. Furthermore, they acquired creative problem-solving and self-directed learning ability, community consciousness, as well as the attitude of consideration and respect. Thirdly, students lacked knowledge of learning content and encountered difficulty in solving data research, analysis processes, and unstructured problems. They were affected by a lack of time and encountered problem in communicating with other team members in an online environment. As an improvement in online class operation, it was considrered necessary to reduce the learning burden by securing time and reducing the number of assignments, as well as to explain active interaction with instructors and PBL.

• Journal of Internet of Things and Convergence
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• v.9 no.2
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• pp.77-82
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• 2023

As the method of collecting and utilizing structured and unstructured data develops due to the influence of the Fourth Industrial Revolution, unwanted personal information data is also being collected and utilized, and hackers are attempting various attacks to steal information. As a result, the importance of information protection has increased, and various protection techniques have emerged, among which many studies have been conducted using decentralized techniques of blockchain and various algorithms to strengthen the security of biometric authentication techniques. This paper proposed a public blockchain biometric authentication system that allows users to protect their data in a safer biometric authentication method in the public blockchain and use it in the blockchain through signature with authenticated information.

• The Journal of Society for e-Business Studies
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• v.25 no.4
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• pp.61-75
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• 2020

The scope of data for understanding or predicting stock prices has been continuously widened from traditional structured format data to unstructured data. This study investigates whether commentary data collected from SNS may affect future stock prices. From "Stock Discussion Room" in Naver, we collect 20 stocks' commentary data for six months, and test whether this data have prediction power with respect to one-hour ahead price direction and price range. Deep neural network such as LSTM and CNN methods are employed to model the predictive relationship. Among the 20 stocks, we find that future price direction can be predicted with higher than the accuracy of 50% in 13 stocks. Also, the future price range can be predicted with higher than the accuracy of 50% in 16 stocks. This study validate that the investors' sentiment reflected in SNS community such as Naver's "Stock Discussion Room" may affect the demand and supply of stocks, thus driving the stock prices.