• International Journal of Aeronautical and Space Sciences
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• v.14 no.4
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• pp.297-309
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• 2013

Design optimization is a mathematical process to find an optimal solution through the use of formal optimization algorithms. Design plays a vital role in the engineering field; therefore, using design tools in education and research is becoming more and more important. Recently, numerical design optimization in fluid mechanics, which uses computational fluid dynamics (CFD), has numerous applications in the engineering field, because of the rapid development of high-performance computing resources. However, it is difficult to find design optimization software and contents for educational purposes in aerospace engineering. In the present study, we have developed an aerodynamic design framework specifically for an airfoil, based on the EDucation-research Integration through Simulation On the Net (EDISON) portal. The airfoil design framework is composed of three subparts: a geometry kernel, CFD flow analysis, and an optimization algorithm. Through a seamless interface among the subparts, an iterative design process is conducted. In addition, the CFD flow analysis and the design framework are provided through a web-based portal system, while the computation is taken care of by a supercomputing facility. In addition to the software development, educational contents are developed for lectures associated with design optimization in aerospace and mechanical engineering education programs. The software and content developed in this study is expected to be used as a tool for e-learning material, for education and research in universities.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.177-185
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• 2012

In this paper, we developed the composition system that it can efficiently edit camera recording data, images, office document such as powerpoint data, MS word data etc in real-time and broadcasting system that the file is made by the composition system. In this Study, we developed two kinds of algorithm; Approximate Composition for Optimization (ACFO) and Sequence Composition using Memory Que (SCUMQ). Especially, the system is inexpensive and useful because the system is based on mobile devices and PCs when lectures hope to make video institutional contents. Therefore, it can be contributed for e-learning and m-learning. In addition, the system can be applied to various fields, different kinds of multimedia creation, remote conferencing, and e-commerce.

• Journal of Home Health Care Nursing
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• v.29 no.3
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• pp.329-338
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• 2022

Purpose: This study aimed to develop an infection control e-learning training program for long-term care facility care workers to prevent emerging infectious diseases and evaluate its effectiveness. Method: The program was developed using the analysis design development implementation evaluation (ADDIE) model. The effectiveness of the program was evaluated for 30 care workers. The knowledge and performance of the care workers before and after the program were analyzed by a t-test. Results: In the analysis stages, a literature review on infection control, knowledge and performance of infection control, and education needs was performed, and focus group interviews with ten care workers were conducted. In the design stage, education topics, educational content, and educational methods were selected for the program. A video was produced centered on eight themes. In the development stage, a system for education was developed, and each topic was uploaded. In the implementation stage, the program was applied to 30 care workers, and a questionnaire was administered. In the program's final evaluation, there was a significant difference in infection control knowledge (t=3.06, p=.005), and there was no significant difference in infection control performance. Conclusion: In this study, the necessary topics were finally selected by quantitatively and qualitatively analyzing the educational needs of care workers taking care of the elderly in long-term care facilities. It is necessary to understand the long-term effect and the degree of performance of the observation method in the future.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.368-374
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• 2022

Children are by nature curious and enthusiastic about learning and love to explore and search for everything they see around them, but as a result of this exploration they may sometimes be exposed to dangerous situations ranging from falls to poisoning and suffocation. That is why when supporting a child's natural desire to explore the world and supporting his awareness of dangerous situations and good handling of them, helps him build a conscious scientific mind and enhance his curiosity in the natural world. It is not easy to imagine a difficult situation in which we or one of our family is in danger, unable to help ourselves or to help them in time, due to our complete ignorance of the rules of first aid. Hence the importance of learning first aid not only for the child but for the community and the world at large. "Hakeem" is an Arabic E-health educational application that aims to teach children from the age of six to eleven years first aid, in our belief that the seed of renaissance lies in the care and education of children, and the lack of Arabic content that aims to teach children first aid skills. The idea is to create a scenario in which the child is responsible for saving the person who will be in a dangerous situation using Augmented Reality (AR) technology, to increase engagement and interaction and provides a rich user experience, and according to the child's performance, he will get reward points. The game will have several levels: Beginner, Intermediate, and Hakeem, and based on the player's points he will get a title and move to the next level, and when he reaches the end, he will get the certificate.

• Journal of Distribution Science
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• v.13 no.6
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• pp.105-118
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• 2015

Purpose - Currently, strengthening small and medium-sized enterprises (SME) in terms of competitiveness is a key economic issue. However, the problem is that many SMEs lack the internal competence required to cope with a rapidly changing market structure. Such problems can act as an obstacle to economic development, yet most SMEs in Korea are dealing with this problem today. A company's source of competitive advantage is changing from quantity to quality, facility to knowledge, and hardwork to creativity. Under such circumstances, a company should place learning and sharing of knowledge and continuously creating new knowledge as its priority. This study aims to identify the effect of a chief executive officer's (CEO) compassion and forgiveness - positive factors in organizational emotion - on learning organization activities and organizational performance, through a theoretical comparison. Research design, data, and methodology - For this study, SMEs based in Daejeon and Chungcheong area were selected. To secure credibility of the data, the subjects were selected among those who have been working at the business for six months or longer. The survey was conducted for 30 days from March 5, 2015 to April 5, 2015. Both offline and online surveys were conducted. Fifty companies were chosen and 700 questionnaires were distributed, with 506 used for analysis. Fifty subject companies (25 from Daejeon, 10 from Chungnam, 10 from Chungbuk, and five from Sejong) were selected and the objective, target, and survey content were explained to a manager at each company either face-to-face or on the phone. Of the total of 700 questionnaires distributed via mail or e-mail, 78.6% or 550 copies were returned. Excluding 44 insufficient questionnaires, the remainder, 506 questionnaires, were used for analysis. Results - This study analyzed how the CEO's compassion and forgiveness affects learning organization activities and organizational performance. First, compassion of the CEO at the SMEs directly affected the learning organization activities and indirectly affected the organizational performance. Second, forgiveness of the CEO at the SMEs did not affect the learning organization activities and organizational performance directly or indirectly. Conclusions - The study conclusions are as follows. First, CEO compassionate behavior at the SMEs was a significant variable that directly and indirectly affected learning organization activities and organizational performance. Therefore, the CEO of an SME can create a positive organizational atmosphere through compassionate behaviors in the organization. Second, the forgiving behavior of the CEO did not have direct or indirect effects on learning organization activities and organizational performance. However, the reason for a CEO to continue his or her forgiving behavior is because it strengthens employee resilience, commitment, and self-efficacy to protect the organization from negative influences such as layoffs, risks, and wrongdoings. The action of forgiveness does not have direct or indirect effects. However, the CEO shall continue such behavior to strengthen members' physiological resilience, commitment, and self - effectiveness, and to protect the organization from risks including layoff and external negative factors.

• Journal of The Korean Association of Information Education
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• v.11 no.4
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• pp.471-482
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• 2007

These days UCC(User-created content) is being made and shared increasingly in entertainment and sports area, but its life cycle seems to be very short and the cases that it is used for an education or a learning purposes are not common yet. In this study a new methodology is suggested for adapting a UCC to a distance education. A teacher upload the movie that he or she made for the distance education system, so the students can carry out the self-centered learning procedure. After that, the students send their own movie files to the teacher, and get a feedback from the teacher as a evaluation of the course. In this study a distance education system was established as a prototype, and a short bamboo flute class was chosen for this study from the specialty developmental education program of the elementary school. According to the result of the questionnaire the students thought that their performance skill was improved a lot and they were satisfied with the learning program and the method of evaluation. They also answered that their skills dealing with a camera, a camcorder and a computer got much better. Moreover, most of the students thought that the relationships with their friends and their parents got better also because they spent lots of time together making and watching the movie files for this education program.

• Hwankyungkyoyuk
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• v.14 no.2
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• pp.15-27
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• 2001

The purpose of this study is to understand and compare the characteristics of the content organization system of three Environment textbooks currently used, and to examine its connectivity with the teaching & teaming methods included in the Environment subject part of the 7th Korean National Curriculum. For the analysis three Environment textbooks for middle school and their teacher's guide books by three companies. published(A, B, and C) The result of the taxonomic analysis showed that three Environment books had different steps to get to the lesson class unit in the way that A of six steps, B of five steps and C of seven steps. The amount of main text was different In the domains of'Human and Environment','Environmental Problems and its Counter-plan'and'Environmental Conservation'of three textbooks each. All of three textbooks had the biggest percentage in sub-domains of'Living Environment to Keep'and'Global Environmental Problem'in 'Environmental Problems and its Counter-plan'domain. Considering teaching & loaming methods all of three textbooks contained many activities as 55 in A, 66 in H and 91 in C. Among 9 teaching 8E teaming methods and others listed in the Environment subject part of the 7th Korean National Curriculum, the investigation method is most frequently used in all of three textbooks. The drama, the paly and the case study were used rarely as teaching & teaming methods in activities In the consideration of the content amount regarding academic fields, it was revealed that three textbooks overemphasized the aspect of natural sciences comparing the aspect of human & social sciences aspect as a whole. Generally the appendix section of all three textbooks were well organized to support the teaching and teaming activities in main text.

• Journal of Communications and Networks
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• v.17 no.6
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• pp.549-557
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• 2015

Mobile cellular networks are becoming increasingly complex to manage while classical deployment/optimization techniques and current solutions (i.e., cell densification, acquiring more spectrum, etc.) are cost-ineffective and thus seen as stopgaps. This calls for development of novel approaches that leverage recent advances in storage/memory, context-awareness, edge/cloud computing, and falls into framework of big data. However, the big data by itself is yet another complex phenomena to handle and comes with its notorious 4V: Velocity, voracity, volume, and variety. In this work, we address these issues in optimization of 5G wireless networks via the notion of proactive caching at the base stations. In particular, we investigate the gains of proactive caching in terms of backhaul offloadings and request satisfactions, while tackling the large-amount of available data for content popularity estimation. In order to estimate the content popularity, we first collect users' mobile traffic data from a Turkish telecom operator from several base stations in hours of time interval. Then, an analysis is carried out locally on a big data platformand the gains of proactive caching at the base stations are investigated via numerical simulations. It turns out that several gains are possible depending on the level of available information and storage size. For instance, with 10% of content ratings and 15.4Gbyte of storage size (87%of total catalog size), proactive caching achieves 100% of request satisfaction and offloads 98% of the backhaul when considering 16 base stations.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.167-176
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• 2020

Recommendation Systems is the top requirements for many people and researchers for the need required by them with the proper suggestion with their personal indeed, sorting and suggesting doctor to the patient. Most of the rating prediction in recommendation systems are based on patient's feedback with their information regarding their treatment. Patient's preferences will be based on the historical behaviour of similar patients. The similarity between the patients is generally measured by the patient's feedback with the information about the doctor with the treatment methods with their success rate. This paper presents a new method of predicting Top Ranked Doctor's in recommendation systems. The proposed Recommendation system starts by identifying the similar doctor based on the patients' health requirements and cluster them using K-Means Efficient Clustering. Our proposed K-Means Clustering with Content Based Doctor Recommendation for Cancer (KMC-CBD) helps users to find an optimal solution. The core component of KMC-CBD Recommended system suggests patients with top recommended doctors similar to the other patients who already treated with that doctor and supports the choice of the doctor and the hospital for the patient requirements and their health condition. The recommendation System first computes K-Means Clustering is an unsupervised learning among Doctors according to their profile and list the Doctors according to their Medical profile. Then the Content based doctor recommendation System generates a Top rated list of doctors for the given patient profile by exploiting health data shared by the crowd internet community. Patients can find the most similar patients, so that they can analyze how they are treated for the similar diseases, and they can send and receive suggestions to solve their health issues. In order to the improve Recommendation system efficiency, the patient can express their health information by a natural-language sentence. The Recommendation system analyze and identifies the most relevant medical area for that specific case and uses this information for the recommendation task. Provided by users as well as the recommended system to suggest the right doctors for a specific health problem. Our proposed system is implemented in Python with necessary functions and dataset.

• Proceedings of the KAIS Fall Conference
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• 2009.12a
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• pp.204-207
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• 2009

최근 건강-의료 분야의 학과 신설 및 전공자가 급격하게 늘어남에 따라 해부학 교육의 질적 향성 및 학습자의 학습효과 증진을 도모하기 위해서는 새로운 강의방식의 도입이 필요하다. 따라서 본 연구는 해부학 과목이 전공필수로 포함되어 있는 강원대학교 2개 학과(간호학과, 스포츠과학부) 전공자들을 대상으로 해부학 강의를 위하여 강원대학교 e-러닝 센터와 함께 가상강의 컨텐츠를 개발 과정에 있어 담당교수의 역할을 분석하고, 정규교육과정에서 적용한 후, 학생들의 설문 조사와 가상강의실 운영 성과를 평가하였다. 해부학 가상강의 컨텐츠와 운영에 대하여 학생들의 만족도와 활용가능성, 난이도, 운영의 적절성에서 긍정적인 평가를 받았으며, 가상강의실 게시판 활동을 통하여 학생들이 자율적이고 능동적인 학습활동을 보여 주었다. 그러나 학생들이 개선점으로 지적한 컨텐츠의 질적 향상 및 관련 자료의 보강은 시급히 개선해야 할 부분으로 나타났다. 따라서 본 연구는 건강-의료 분야의 전공자뿐만 아니라 다양한 분야에서 요구하고 있는 강의수요에 비해 턱없이 부족한 해부학 전공 교수진의 교육 부담을 경감하고 해부학교육에 있어 새로운 지평을 열수 있는 가상강의에 대한 연구로서, 향후 해부학 강의에 있어 충분한 활용가치가 있는 효과적인 교수법이 될 것으로 사료된다.