• Analyses & Alternatives
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• v.4 no.1
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• pp.5-37
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• 2020

In the 2000s, financial exclusion of low-income people emerged as a major social problem in South Korea. Microcredit business was first introduced by NGOs to help the poor overcome poverty while the Korean government soon chose to initiate microcredit policies to assist financially marginalized low-income people as a key policy measure to alleviate social inequality and revitalize economy. Unlike the initial expectation that state intervention in microcredit industry would be more effective, the outcome has been much less impressive. This paper aims to examine the poor performance of state-led microcredit in South Korea during the period of Lee Myung-bak administration by employing the concepts of state autonomy and capacity. It finds that the state autonomy, a key characteristic of a developmental state, was high in the sense that the funds had been raised in the face of strong resistance from private financial institutions. Lack of state capacity such as low technocratic expertise and politicization of microcredit policy, however, turned out to be a major stumbling block to the state-led microcredit in South Korea. This study shows that although the Korean government still has strong willingness to intervene in the financial market even in the face of interest groups' opposition, the eventual success of state action largely depends on its capacity to effectively implement financial policies.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.2
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• pp.77-91
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• 2022

Social innovation refers to activities that solve social problems by developing new ideas in cooperation with actors close to the field for the purpose of preserving the sustainability of society. In the field of social innovation, voices calling for a bottom-up method that starts with citizen participation are growing, and the need to improve public officials' awareness of social innovation and strengthen professionalism is being raised. In the era of Covid 19 and the 4th industrial revolution, digital literacy is being emphasized to us. In the field of social innovation, the need to strengthen social activities using digital media is growing. In this paper, an example of online social innovation project education based on the design thinking methodology was presented for public officials in Busan to improve their awareness of social innovation and secure expertise, and the effect of job competency reinforcement was statistically verified. As a result of statistical analysis, the average difference between the 'online communication' factor and the 'online empathy' factor was the largest, and it can be interpreted that digital literacy for social innovation has been strengthened.

• Coupled systems mechanics
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• v.11 no.2
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• pp.121-132
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• 2022

Wastewater treatment plants (WWTPs) are designed and built to remove contaminants from wastewater. WWTPs are composed of various facilities equipped with hydro-mechanical and electrical equipment. This paper presents a comparison of two different approaches for WWTPs modelling. Static modelling is suitable for determining the dimensions of facilities and equipment capacity. The special significance of this approach is for the design of new plants, i.e., when a very small number of input data on the quantities and composition of the influent wastewater is available. Dynamic modelling is expensive, time consuming and requires great expertise in the use of simulators, models and very good understanding of the treatment processes. Also, dynamic modelling is very important to use for optimization, consideration of future scenarios and also possible scenarios on the plant. The comparison of two approaches was made on the input data from the biggest and most important plant in Bosnia and Herzegovina (B&H)-WWTP Butila (Sarajevo). The main idea is to show the differences between two demanding accesses. It is important to know how to apply an adequate approach to research and solve the set task. The II phase of the plant Butila, which includes the removal of nutrients, is planned in several years and therefore the importance of research has increased.

• Journal of Korea Multimedia Society
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• v.24 no.11
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• pp.1518-1525
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• 2021

Due to the growth of VR industry and rise of digital twin industry, the importance of implementing 3D data same as real space is increasing. However, the fact that it requires expertise personnel and huge amount of time is a problem. In this paper, we propose a system that generates point cloud data with same shape and color as a real space, just by scanning the space. The proposed system integrates 3D geometric information from lidar and color information from stereo camera into one point cloud. Since the number of 3D points generated by lidar is not enough to express a real space with good quality, some of the pixels of 2D image generated by camera are mapped to the correct 3D coordinate to increase the number of points. Additionally, to minimize the capacity, overlapping points are filtered out so that only one point exists in the same 3D coordinates. Finally, 6DoF pose information generated from lidar point cloud is replaced with the one generated from camera image to position the points to a more accurate place. Experimental results show that the proposed system easily and quickly generates point clouds very similar to the scanned space.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.32 no.4
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• pp.414-424
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• 2022

Objectives: This study was established to ascertain the requirements and implementation of core competencies for employees of the a workers' health center. Methods: The study consisted of a four-step process: a literature review, focus group interviews, expert opinions, and a questionnaire. The survey was conducted online among 119 employees of the National Workers' Health Center. Results: As a result of the research, eleven core competencies and 37 sub-competencies were derived in three areas: Competence as a social worker, competence to perform duties, and competence for maintaining expertise. The key demands for core competencies were "health consultation" and "understanding of small businesses.". They responded that they needed to "maintain an ethical attitude" and "consult on workers' health.". The largest score difference between core competency requirements and competency implementation was "collaboration with the community.". Conclusions: It is necessary to increase competencies not only for competencies with high core requirements, but also for relatively low competencies. In addition, efforts should be made to improve the core competencies of the employees of the Workers' Health Center to effectively respond to changes in the industrial structure and crises such as COVID-19.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.2
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• pp.504-519
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• 2023

Heart disease is becoming the top reason of death all around the world. Diagnosing cardiac illness is a difficult endeavor that necessitates both expertise and extensive knowledge. Machine learning (ML) is becoming gradually more important in the medical field. Most of the works have concentrated on the prediction of cardiac disease, however the precision of the results is minimal, and data integrity is uncertain. To solve these difficulties, this research creates an Integrated Accurate-Secure Heart Disease Prediction (IAS) Model based on Deep Convolutional Neural Networks. Heart-related medical data is collected and pre-processed. Secondly, feature extraction is processed with two factors, from signals and acquired data, which are further trained for classification. The Deep Convolutional Neural Networks (DCNN) is used to categorize received sensor data as normal or abnormal. Furthermore, the results are safeguarded by implementing an integrity validation mechanism based on the hash algorithm. The system's performance is evaluated by comparing the proposed to existing models. The results explain that the proposed model-based cardiac disease diagnosis model surpasses previous techniques. The proposed method demonstrates that it attains accuracy of 98.5 % for the maximum amount of records, which is higher than available classifiers.

• Journal of Engineering Education Research
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• v.26 no.5
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• pp.29-41
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• 2023

Using text network analysis, this research aimed to identify significant keywords associated with each period of the revised High School Engineering curriculum from 2009-2022 and to examine their interrelationships in order to analyse the observed changes. The results of this study can be summarised as follows. Firstly, a significant increase in the number of words was observed throughout the curriculum revisions, with prominent occurrences of terms such as 'engineering', 'understanding', 'problem', 'solution', 'learning', 'evaluation' and 'diversity'. Secondly, network analysis and examination of connection centrality for each subject revealed the connection relationship that represented distinct subject characteristics. Thirdly, the study of the engineering curriculum revealed shifts in emphasised content with each revision. Based on these findings, recommendations were formulated. Firstly, given the growing importance of engineering, it is imperative to conduct systematic research on engineering education in primary and secondary school contexts. Secondly, efforts should be made to strengthen the link between Engineering and Technogy･Home-economics subjects in secondary schools. Finally, high school engineering subjects should be used not only to explore engineering careers, but also to cultivate talents with interdisciplinary expertise.

• Journal of Fashion Business
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• v.26 no.1
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• pp.119-139
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• 2022

This study analyzed characteristics of domestic male fashion YouTubers and fashion contents in accordance with the need to analyze various content demands and testes of male consumers in the fashion industry. Using literature research and fashion expert evaluation, characteristic factors of fashion YouTubers were derived and the popular content of fashion YouTubers was classified by subject to analyze contents according to characteristics of YouTubers. Based on literature research, ten representative male fashion YouTubers were evaluated by fashion experts. Characteristics of male fashion contents in Korea were derived from attractiveness-friendliness, friendliness, professionalism-friendliness, and expertise. Contents of male fashion YouTubers were mainly composed of styling contents that could feed back daily looks, fashion-related information contents, and Vlogs. They mainly dealt with daily fashion coordination evaluation made by YouTubers. Based on the proportion of fashion information easily accessed by ordinary men through single fashion item's recommendations, shopping know-how or styling tip was mainly dealt with. This study was significant in that it analyzed characteristics and contents of male fashion YouTubers according to the need to analyze various content demands and tastes of male consumers who have recently emerged as an important consumer group in the fashion industry.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.80-86
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• 2013

Knotworking represents a distributed collaborative expertise in pursuit of a task that is organized among designers from different design disciplines. Construction processes involve phases and tasks that cannot be solved in one organization only, as integration of expert knowledge from various sources is needed. Through knotworking, groups of people, tasks and tools are set to work intensively for a short period of time to solve a problem or accomplish a task. Knotworking requires intensive collaboration across organizational boundaries and hierarchies. The practice of knotworking has been developed and applied in the development of healthcare organizations, libraries and school-university relationships, but it has not previously been applied in the construction industry. In this paper, we describe the concept of knotworking and the findings of a case study that we completed in the Finnish construction industry. We will also compare the similarities and differences of the Big Room and knotworking in terms of participants, duration, target, space/infrastructure, benefits and challenges. Finally, we present some suggestions for further research and experimentation on knotworking in construction projects.

• Educational Technology International
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• v.11 no.1
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• pp.47-68
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• 2010

The purpose of this study was to analyze majors trends and issues of e-Learning curriculum for human resource development in the corporate context. The e-Learning curriculum was chosen as the subject of research consists of 2,710 lectures that were given from 2007 to July 2009 for the recent three years by providing at Ministry of Labor and Korea Research Institute for Vocational Education & Training. In order to investigate trends and issues, it was employed theme analysis which is one of the types of document analysis that approach a qualitative research methodology. As a result of this research, 7 major trends and issues in e-Learning curriculum for HRD in the field of corporate education were drawn; ① Strengthening expertise through learning of job related professional knowledge, ② Cultivation of common & essential knowledge for a job to increase work performance efficiency ③ Organizational management strategy for improving performance, ④ Organizational management and operational strategy for actively responding to environmental changes, ⑤ Leadership as a strategy for cultivating core personnel and field-centered practical leadership. ⑥ Creating a happy workplace through the work-life balance, ⑦ Strengthening global communication skill. Based on these analysis, practicals and theoretical implications of e-Learning professionals and HR researchers for HRD were suggested.