• Journal of Institute of Control, Robotics and Systems
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• v.22 no.11
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• pp.912-918
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• 2016

This paper presents various strategies for humanoid vehicle driving and egress tasks. For driving, a tele-operating system that controls a robot based on a human operator's commands is built. In addition, an autonomous assistant module is developed for the operator. Normal position control can result in severe damage to robots when they egress from vehicles. To prevent this problem, another approach that mixes various joint control techniques is adopted in this study. Additionally, a footplate is newly designed and attached to the vehicle floor for the ground landing phase of the egress task. The attached plate enables the robot to step down onto the ground in a safe manner. For stable locomotion, a balance controller is designed for the humanoid. For the design of the controller, the robot is modeled using an inverted pendulum that consists of a spring and a damper. Then, a state feedback controller (with pole placement and a state observer) is built based on the simplified model. Many approaches that are presented in this paper were successfully applied to a full-sized humanoid, DRC-HUBO+, in the DARPA Robotics Challenge Finals, which were held in the United States in 2015.

• Journal of the Korea Society of Computer and Information
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• v.13 no.7
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• pp.269-280
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• 2008

The choice of appropriate methodologies has always been a challenge. It is time to find obstacles when Extreme programming(XP) is adopted. In this paper, we invest status of adoption of XP methodology which is more popularized. We survey how the Values and the Practices of XP can be adopted to developer in terms of the usefulness and the easy of use of XP. As a result, it is regarded as a successful one in improving quality and timeliness through software development process. The Values and Practices, a basis of XP philosophy and its adoption, could be easily accomplished, but other elements - communication, feedback. collective ownership, pair programming, simple design and customer participation - which do not depend on technology could not be accomplished easily. To introduce XP easily in the creative and labor intensive software development fields, the managers and the educators have to make efforts to apply these Values and Practices based on humane characteristics as well as technical elements.

• Proceeding of EDISON Challenge
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• 2013.04a
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• pp.354-359
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• 2013

일반적으로 건축물의 설계시 풍동 실험을 통한 풍환경의 평가를 수행하고 있으며, 이는 환경 영향 평가법에서 정한 건축 사업 시행 시 수반되어야 할 자연환경, 생활환경 그리고 사회경제환경의 영향 평가의 일환으로 실시되고 있다. 그러나, 풍동 실험의 경우 여러 가지 현실적 제약조건으로 설계와 실험의 피드백 (Feedback)이 원활하지 못하며, 특히 대상 건축물이 공장과 같이 대기 오염원이 되는 경우 실험은 더욱 어려운 형편이다. 이에 대한 보완책으로 전산 유체 역학을 이용한 건축물의 풍압 해석에 의한 풍하중 추정이나 인접 지형-지물의 영향을 고려한 건축물 주위의 풍환경 평가가 있다. 전산 모사에 의해 풍동 실험의 미비점을 보완하고, 보다 상세한 정보를 확보함으로써 건축물의 구조적 안전성의 증대와 환경 피해 감소를 기할 수 있다. 그러나 복잡한 지형-지물이나 건축물 주위의 풍환경에 대한 전산 모사는 주로 두 가지의 기술적 어려움을 수반하게 되다. 그 중 하나는 고정 경계면을 이루는 형상의 복잡성으로 인해 기존에 많이 이용하고 있는 Body-fitted 격자계를 이용하는 경우, 격자 생성 과정이 매우 복잡하고 어려울 뿐 만 아니라 생성된 격자가 주로 비정렬 (unstructured) 특성을 갖게 되어 수치해석 과정의 효율을 저하시키는 요인이 되며, 격자의 형상도 수치해석의 수렴성을 저하시키는 예가 많다. 다른 어려움으로 풍환경은 전형적인 난류 유동장으로서 난류의 전산 해석은 아직도 해결하지 못한 부분이 많다는 점이다. 이에 본 논문에서는 복잡한 지형-지물이나 건축물의 풍하중과 풍환경의 전산 모사 기술 확보를 위하여 수행중인 연구의 일환으로 물체 형상의 기하학적 복잡성의 극복을 위한 가상경계법 (Immersed Boundary Method)과 난류 유동장의 물리적 엄밀성을 높이기 위한 다와동 모사 (Large Eddy Simulation)을 이용한 물체 형상과 무관한 유동장 해석 기술 개발에 대하여 다루고자 한다. 먼저 최근에 유동 해석에 이용되는 방법인 가상경계법(IBM)은 물체를 포함한 전체 전산 영역을 직교 좌표계에 의해 이산화하고, 유동장내 존재하는 물체의 표면에서의 점착 조건을 만족시키기 위하여 지배 방정식에 적절한 외력을 추가로 고려하는 방법이다. 본 연구에서는 가상경계법을 이용하여 경계층에 위치한 건물 형상의 각진 물체 주위 사이에 형성되는 공동 내부의 비정상 유속 및 압력에 대한 전산 해석을 수행하고, 풍상측 전면에 형성되는 경계층에 의한 영향을 분석하였다.

• Journal of Korea Game Society
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• v.21 no.2
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• pp.139-150
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• 2021

This study analyzed the effectiveness by developing an online program to enhance collaborative problem-solving capabilities for college freshmen using gamification. According to the research results, the operational model of the online program for enhancing collaborative problem-solving capabilities using gamification was presented in five stages: 1 preparation, 2 team building, 3 assessment, 4 feedback, and 5 achievement sharing. The results of the "pre-test" and post T-test of creative problem-solving capabilities, the variables related to creative problem-solving skills, academic challenge, creative thinking ability, and convergence value creation have been significantly improved. What should be discussed in the future is the need to experience collaborative problem solving process online, and to develop game design and platform that can discuss and communicate.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.237-262
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• 2023

Digital transformation demands significant and foundational alterations in an organization's structure, processes, business strategy, and communication from a managerial perspective. However, one of the crucial prerequisites for a successful transition is the digital proficiency of its members. Students studying Management of Technology without a prior background in engineering face the difficult challenge of improving both their business management skills and digital competency within a limited time frame. For this reason, effective IT competency education methods are emerging as one of the educational issues in technology management. This paper showcases the IT-focused curriculum revision process of Sogang University's Graduate School of Management of Technology, along with the outcomes of its implementation thus far, as a demonstration of addressing the questions of "what to teach" and "how to teach" for students who could potentially become leaders in guiding the digital transformation. The purpose of this paper, specifically, is to offer a prior reference for the operation direction of effective programming education for students in Management of Technology graduate schools through a discussion on the feedback results of the required fundamental programming course which acts as both the starting point and entry hurdle.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.101-115
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• 2017

This study analyzed the effects of social support on entrepreneurial opportunity competence for Baby boomer (born in 1955-1963), focusing on mediating effect of entrepreneurial self-efficacy. The governmental start-up policy and entrepreneurship education are mostly conducted for the college students and young generation mainly through such programs as the youth start-up school. In addition, studies on the effects of social support and institutional support on the entrepreneurial intention of young generation entrepreneurs are being actively pursued. Meanwhile, the study for baby boomers is on the welfare side mainly. Although they are starting to make their living-based business without prior careful preparation for their livelihood after retirement, while there is little study on the effect of social support for this baby boomer on entrepreneurial opportunity competence needed for opportunistic entrepreneurship. Therefore, in this study, in order to investigate the effect of social support on Baby boomer's entrepreneurial opportunity competence, an empirical analysis of the 387 questionnaires collected by the baby boomers living in Seoul and Gyeonggi provinces were conducted. As a result of analysis, First, Social support has a significant effect on both Opportunity recognition and Opportunity assessment of entrepreneurial opportunity competence. Second, In the effects of social support on self-efficacy were found to be significant in Emotional and Instrument support only on Self-confidence, In Emotional support and Feedback support only on Self-regulated efficacy & Emotional support and Instrument support only on Goal challenge were found to be a significant effect. Third, Self-regulated efficacy and Goal challenge in the Entrepreneurial self-efficacy on Entrepreneurial opportunity recognition were found to be a significant effect. All Self-confidence, Self-regulated efficacy & Goal challenge in the Entrepreneurial self-efficacy on Entrepreneurial opportunity assessment were found to be a significant effect. Fourth, Indirect effect of social support on entrepreneurial opportunity competence mediated by Entrepreneurial self-efficacy was found to be partially significant.

• Journal of Gifted/Talented Education
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• v.26 no.1
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• pp.77-99
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• 2016

The purpose of this study was to examine the effect of GI-STEAM program on leadership, creative personality, and learning flow of elementary Gifted Students. GI-STEAM program was the convergence model of Group Investigation that belongs to Co-learning and STEAM framework of learning criterion. The participants were 16 gifted students in a Korean elementary school located in Gyeong-gi province. The experimental design was one group pretest-posttest design. After a pretest on leadership, creative personality, and learning flow was conducted, classes were carried out as GI-STEAM program for the gifted student and a post-test was conducted. The study results of the class that was conducted twelve times for two weeks are as follows. First, Individual area of leadership is meaningfully developed in statistics after GI-STEAM program. The sub-domains of leadership, such as the communication, organization management, society commitment and teamwork showed a statistically significant improvement. Second, the domain of creative personality didn't show meaningful difference after GI-STEAM program. However, the aesthetic in the sub-domains of the creative personality showed a statistically significant improvement. Third, learning flow was meaningfully developed in statistics after GI-STEAM program. The sub-domains of the leadership, such as the balance between challenge and ability, integration with behavior and consciousness, concrete feedback and Autotelic experience showed a statistically significant improvement. In conclusion, GI-STEAM is an effective program for improving ability of communication, aesthetic sensibility, which are core competency of 'creative-convergence' gifted students. For this reason, it is highly considered that various programs applying GI-STEAM should be developed.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.295-309
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• 2021

Maker education has recently been actively practiced under strong governmental support as a nation-wide policy for innovative education, which now had to confront the unexpected challenge and crisis of 'contactless educational environments' due to COVID-19 pandemic. In this context, this study aimed to develop a checklist needed for developing 'contactless maker education program' which still continues to maintain 'maker mindsets' as the goal and direction of maker education, since maker education has been regarded as an alternative educational environment suitable for the 4th industrial revolution age. For this purpose, this study first conducted literature review related to maker education and contactless (i.e. online) education environments, from which several characteristics of the contactless maker education have been extracted. And then, 5 maker education instructors currently conducting the contactless maker education programs in various settings provided feedback on the developed checklist draft, which actually became the final version of the checklist. Considering the current COVID-19 pandemic situation, the checklist for the contactless Maker education might be helpful in preventing to diminish or reduce the educational values and active application of maker education.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.37-55
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• 2023

With the development of electronic journals and the emergence of various interdisciplinary studies, the selection of journals for publication has become a new challenge for researchers. Even if a paper is of high quality, it may face rejection due to a mismatch between the paper's topic and the scope of the journal. While research on assisting researchers in journal selection has been actively conducted in English, the same cannot be said for Korean journals. In this study, we propose a system that recommends Korean journals for submission. Firstly, we utilize SBERT (Sentence BERT) to embed abstracts of previously published papers at the document level, compare the similarity between new documents and published papers, and recommend journals accordingly. Next, the order of recommended journals is determined by considering the similarity of abstracts, keywords, and title. Subsequently, journals that are similar to the top recommended journal from previous stage are added by using a dictionary of words constructed for each journal, thereby enhancing recommendation diversity. The recommendation system, built using this approach, achieved a Top-10 accuracy level of 76.6%, and the validity of the recommendation results was confirmed through user feedback. Furthermore, it was found that each step of the proposed framework contributes to improving recommendation accuracy. This study provides a new approach to recommending academic journals in the Korean language, which has not been actively studied before, and it has also practical implications as the proposed framework can be easily applied to services.

• Korean Chemical Engineering Research
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• v.61 no.4
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• pp.542-549
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• 2023

Since the growing interest in surrogate modeling, there has been continuous research aimed at simulating nonlinear chemical processes using data-driven machine learning. However, the opaque nature of machine learning models, which limits their interpretability, poses a challenge for their practical application in industry. Therefore, this study aims to analyze chemical processes using Explainable Artificial Intelligence (XAI), a concept that improves interpretability while ensuring model accuracy. While conventional sensitivity analysis of chemical processes has been limited to calculating and ranking the sensitivity indices of variables, we propose a methodology that utilizes XAI to not only perform global and local sensitivity analysis, but also examine the interactions among variables to gain physical insights from the data. For the ammonia synthesis process, which is the target process of the case study, we set the temperature of the preheater leading to the first reactor and the split ratio of the cold shot to the three reactors as process variables. By integrating Matlab and Aspen Plus, we obtained data on ammonia production and the maximum temperatures of the three reactors while systematically varying the process variables. We then trained tree-based models and performed sensitivity analysis using the SHAP technique, one of the XAI methods, on the most accurate model. The global sensitivity analysis showed that the preheater temperature had the greatest effect, and the local sensitivity analysis provided insights for defining the ranges of process variables to improve productivity and prevent overheating. By constructing alternative models for chemical processes and using XAI for sensitivity analysis, this work contributes to providing both quantitative and qualitative feedback for process optimization.