• Korean Journal of Bronchoesophagology
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• v.17 no.2
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• pp.104-107
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• 2011

Background and Objectives Scope classification is designed to classify acute epiglottitis according to laryngoscopic findings. There is no report about the utility of classification; the difference between the diagnosis and the prognosis by the Scope classification was not found. The aim of this study was to evaluate the utility of Scope classification in patients with acute epiglottitis. Subject and Method 127 patients who had been admitted to our hospital were diagnosed with acute epiglottitis. The patients were classified by the Scope classification. We compared demographic characteristics, clinical symptoms and signs, laboratory findings, and clinical course among the patient groups and divided the results according to the Scope classification. Results There are no significant differences among the groups in demographic characteristics, clinical symptoms and signs, laboratory findings, and clinical course. Conclusion The Scope classification of acute epiglottitis does not seem to be a method to evaluate the severity of acute epiglottitis. Thus, we need to develop multidisciplinary approaches for acute epiglottitis.

• Journal of The Korean Association of Information Education
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• v.24 no.4
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• pp.291-300
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• 2020

Although the need for international online courses and the number of online learners has been rapidly increasing, the online class evaluation has been mostly relying on the quantitative survey analysis. So a more objective evaluation method has to be developed to more accurately assess online course satisfaction. This study highlights the benefits of using big data analysis from the bulletin board messages of online learning system as a method to evaluate the online courses. In fact, automatic classification technology is recognized as an important technology among big data analysis techniques. Our team applied this technique to evaluate the online courses. From the delphi analysis results, suggested method was concluded that the evaluation items and classification results are suitable for online course evaluation and applicable in schools or institutions. This study has confirmed that the rapidly accumulating big data analysis technology can be successfully applied to the education sector with the least change. It also diagnosed a meaningful possibility to expand the big data analysis for further application.

• Journal of Engineering Education Research
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• v.17 no.4
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• pp.43-47
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• 2014

The rapid development of science & technology and the globalization of society have accelerated the fractionation and specialization of academic disciplines. Accordingly, Korean colleges and universities are continually dropping antiquated courses to make room for new courses that better meet societal demands. With emphasis placed on providing students with a broader range of choices in terms of course selection, compulsory courses have given way to elective courses. On average, 4 year institutions of higher learning in Korea currently offer somewhere in the neighborhood of 1,000 different courses yearly. The classification of an ever growing list of courses offered and the practical use of such data would not be possible without the aid of computers. For example, if we were able to show the pre/post requisite relationship among various courses as well as the commonalities in substance among courses, such data generated regarding the interrelationship of different courses would undoubtedly greatly benefit the students, as well as the professors, during course registration. Furthermore, the GT system's relatively simple approach to course classification and coding will obviate the need for the development of a more complicated keyword based search engine, and hopefully contribute to the standardization of the course coding scheme in the future..Therefore, as a sample case project, this study will use GT to classify and code all courses offered at the College of Engineering of K University, thereby developing a system that will facilitate the scanning of relevant courses.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.5 no.1
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• pp.157-168
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• 2010

Objectives: The aim of this study was to investigate the curriculum of Chuna manual medicine (CMM)-related subjects in oriental medicine college and to let CMM have opportunities to develope current curriculum and basic circumstance for CMM. Methods: Questionnaire was obtained from 11 oriental medicine college and 1 school of Korean medicine, Pusan National University, bye-mail. If there was any insufficient information from response, we asked more information by direct call. Results and Conclusions: The findings from our study can be summarized as follows: 1. There are three CMM-related subjects, CMM, Oriental Rehabilitation Medicine (ORM) and Neuromusculoskeletology(NMS). All curriculums of 8 colleges belonged to classification I have CMM and DRM courses. Curriculums of 4 colleges belonged to classification II, have ORM or NMS course without CMM course. 2. 10 colleges of 11 ones which have ORM course, have major compulsory courses, 1 college has a major optional course. 5 colleges of 8 ones which have CMM course, have major compulsory courses, 3 colleges have major optional courses. 2 colleges have only part-time lecturers for CMM course, other 2 college have cooperation of specialized professors and part-time lecturers, another 8 colleges have only specialized professors. 3. Most CMM-related subjects is teached at 3 or 4 grade of medical course. The units taken for CMM-related subjects is minimum 4 units to maximum 8 units in total about 160 units. 4. Total class hour for CMM-related subjects is minimum 120 hours to maximum 225 hours, and practice hours is about minimum 30 hours to maximum 75 hours. 5. The systematic regulation and financial support is needed for patients to get the best CMM treatment, because the present curriculum of CMM is insufficient for carrying out the best manual therapy for patients.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.545-548
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• 2023

본 논문에서는 골프 코스 시뮬레이션을 위해 수집된 데이터의 정제 및 처리에 요구되는 딥 러닝 모델과 모델 적용 과정에 대해서 논의한다. 최근 스크린 골프 시장의 확대와 골프 시뮬레이터 기술의 발전으로, 위성 이미지, 항공 촬영 이미지, 공간 정보 시스템 (GIS) 등 다양한 데이터 소스로부터 골프 코스에 대한 정보를 수집에 대한 요구가 증가하였다. 이번 연구에서는 이러한 데이터 소스로부터 생성된 원시 데이터를 최적의 시뮬레이션 입력으로 변환하기 위한 컴퓨터 비전 기법과 딥 러닝 모델 구조에 대해서 검토한다. 특히, 데이터에서 골프 코스 시뮬레이션에 요구되는 메타 데이터를 도출하기 위해 코스 분할(Segmentation)과 코스 오브젝트 분류(Classification) 모델을 적용하는 과정을 다룬다. 이를 통해, 본 연구는 골프 코스 시뮬레이터의 개발 과정에서 중요한 기술 요소를 제공하며, 이는 시뮬레이션의 정확도와 골프 코스의 다양성을 증진시키는데에 기여한다.

• The Journal of Society for e-Business Studies
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• v.14 no.3
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• pp.107-129
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• 2009

The person who realize e-business must understand Information Technology(IT) and business process. Current policy and system should be attained new change for domestic e-business manpower training. Divided for manpower training in new dimension justice about present e-business manpower and manpower classification. The capacity about course of study of e-business manpower and program development classified in a new comer, expert, administrator, manager's process. And the process divided ten details job according to business and functions that achieve in enterprise and major in university. Present capacity that needs in details line of duty by ASK(Attitude, Skill, Knowledge) model and focused for program development.

• Journal of Chest Surgery
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• v.23 no.1
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• pp.152-157
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• 1990

A clinical study for thymectomy for 23 patients in Myasthenia Gravis was done between May, 1982 and July, 1989. at the department of Thoracic and Cardiovascular Surgery, College of Medicine, Han Yang University. Among Z3 patients, male to female ratio was 11: 12 and Age of onset was ranged from 15 years-old to 52 years-old. Previous symptom duration from diagnosis until operation was ranged from 2 months to 96 months, and Mean duration was 28.74 months. The severity of disease was classified by Osserman`s classification preoperatively. In histopathology of thymus, Thymic hyperplasia 7 cases, Thymoma 7 cases, Invasive thymoma 3 cases, Within Normal Limit 5 cases, and Thymic Atrophy 1 case. Correlation between preoperative symptom duration and postoperative clinical course was statistically significant. The shorter of preoperative symptom duration, The better of postoperative clinical course. Grading of postoperative course was classified by Papatestas in 1975. Follow-up for postoperative course was ranged from 3 months to 7 year and 4 months, Cases of complete remission 1 year postoperative period were 9 cases and cases of Improvement were 8 cases, So totally 17 cases among 23 cases[73.91%] found good results.

• Journal of Chest Surgery
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• v.22 no.5
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• pp.880-883
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• 1989

Congenital esophagobronchial fistula without esophageal atresia is rare, usually has an insidious clinical course, so it usually diagnosed in adulthood. A esophagogram showed a esophagobronchial fistula between diverticulum at the middle third of the esophagus and just proximal site of apical segmental bronchus of left lower lobar bronchus. It belonged to type I of Braimbridges classification for congenital esophago-bronchial fistula. Esophageal diverticulectomy, fistulectomy and left lower lobectomy were done and postoperative course was uneventful.

• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.187-195
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• 2023

This study propose to develop artificial intelligence liberal arts courses for college students in the humanities and social sciences majors using the entry artificial intelligence model. A group of experts in computer, artificial intelligence, and pedagogy was formed, and the final artificial intelligence liberal arts course was developed using previous research analysis and Delphi techniques. As a result of the study, the educational topics were largely composed of four categories: image classification, image recognition, text classification, and sound classification. The training consisted of 1) Understanding the principles of artificial intelligence, 2) Practice using the entry artificial intelligence model, 3) Identifying the Ethical Impact, and 4) Based on learned, team idea meeting to solve real-life problems. Through this course, understanding the principles of the core technology of artificial intelligence can be directly implemented through the entry artificial intelligence model, and furthermore, based on the experience of solving various real-life problems with artificial intelligence, and it can be expected to contribute positively to understanding technology, exploring the ethics needed in the artificial intelligence era.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.301-311
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• 2023

In university liberal arts education, learners' achievement goals are an important research topic, and this also applies to liberal arts software education. In this paper, we analyzed changes in learning motivation of learners taking liberal arts software courses according to course classification using a 3 × 2 achievement goal model. The analysis was conducted on a discussion-oriented class taken together by learners receiving credits for different purposes, such as required and elective. As a result, it was confirmed that learners begin the semester with similar achievement goals. However, the avoidance goals of learners taking elective courses decreased, showing a significant difference at the end of the semester. It was a different result from the existing liberal arts software education studies that pointed to mandatory enrollment as the cause of lack of motivation to learn. In addition, it was confirmed that learners who take elective courses relatively focus on achievement rather than competition.