• Journal of Engineering Education Research
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• v.11 no.3
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• pp.90-95
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• 2008

This thesis investigated way of employment, education course of a training school of electrical company. I inquired into a demand of an engineer and a necessary level of professional education. As a result, I have a purpose in what offer the information that cared for a beginning to work elevation and education training and boat development of a student more than. Faced a human power demand in an education demand and a field rehearsal student demand and analyzed it. The sample extraction used industrial classification, work of scale, Assignment sample extraction way (quota Sampling). All data called at a silver phone and the investigated, The data parser analyzed the statistics that used Microsoft Excel.

• The Journal of Korean Physical Therapy
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• v.34 no.4
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• pp.135-139
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• 2022

Purpose: We investigated the satisfaction of physical therapy course according to teaching ways after COVID-19. Methods: 336 students in major of physical therapy were recruited in this study. Based on the classification of subjects in the national examination, the questionnaire was divided into 6 subjects in the basic field of physical therapy, 2 subjects in the field of physical therapy diagnostic evaluation, 8 subjects in the field of physical therapy intervention, and 3 subjects in other fields. The Likert scale was used. Results: In the basic field of physical therapy, all subjects were shown the high score of the satisfactory in face-to-face classes except for the public health and medical law compared to the non-face-to-face classes and mixed classes. Regarding the field of physical therapy diagnostic evaluation, the principle of diagnostic evaluation was shown the high score of the satisfactory in face-to-face classes compared to the non-face-to-face classes and mixed classes. In the field of physical therapy intervention, all subjects were shown the high score of the satisfactory in face-to-face classes compared to the non-face-to-face classes and mixed classes. Conclusion: We found that the face-to-face classes in most of subjects was shown the high score of satisfactory. We believed that our results can be used as basic data for physical therapy major learning methods.

• Journal of Acupuncture Research
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• v.25 no.5
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• pp.43-57
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• 2008

Objectives : The purpose of this study is to find the principal of the assignment of Sidong disease and Sosaeng disease(是動病 所生病) into 12 meridians and suggest the author's opinion. Methods : 1. The authors investigated the conception of Sidong disease and Sosaeng disease through several literatures. 2. The authors investigated the line course of 12 meridians(經脈流注) and their Sidong disease and Sosaeng disease. 3. The authors classified Sidong disease and Sosaeng disease following the study by Kim et al. 4. The authors suggested the opinions about the diseases that are difficult to be understood direct relation with the course of meridian. Results : 1. The result of classification of Sidong disease and Sosaeng disease into 5 shows that the percentages were 32.96% for meridian's own disease(本經病), 13.97% for organic own disease(本臟腑病), 12.85% for other organic own disease(他臟腑病), 20.67% for related organic disease(有關器官病), 19.55% for etc.(其他病). 2. Therefore, 19.55% of the whole Sidong disease and Sosaeng disease is that which occurred on the site that is not related directly with the meridian. Conclusions : 1. The exterior and interior relation(表裏關係) and mutual communication between organ and bowel(臟腑相通) are associated with the basic principal of the assignment of Sidong disease and Sosaeng disease that is not related with the course of meridian. 2. The cause of assignment of Sidong disease and Sosaeng disease can be explained according to the profound medical theories.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.99-113
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• 2021

In these days, as cyberspace has been recognized as the fifth battlefield area following the land, sea, air, and space, attention has been focused on activities that view cyberspace as an operational and mission domain in earnest. Also, in the 21st century, cyber operations based on cyberspace are being developed as a 4th generation warfare method. In such an environment, the success of the operation is determined by the commander's decision. Therefore, in order to increase the rationality and objectivity of such decision-making, it is necessary to systematically establish and select a course of action (COA). In this study, COA is established by using the method of classifying operational elements necessary for cyber operation, and it is intended to suggest a direction for quantitative evaluation of COA. To this end, we propose a method of composing the COES (Cyber Operational Elements Set), which becomes the COA of operation, and classifying the cyber operational elements identified in the target development process based on the 5W1H Method. In addition, by applying the proposed classification method to the cyber operation elements used in the STUXNET attack case, the COES is formed to establish the attack COAs. Finally, after prioritizing the established COA, quantitative evaluation of the policy was performed to select the optimal COA.

• Korean Journal of Adult Nursing
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• v.19 no.4
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• pp.624-633
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• 2007

Purpose: This study was conducted to develop an integrated undergraduate course including a PBL based on a blended learning strategy, and evaluate learners' responses. Methods: The learning contents of cardiovascular, respiratory, and musculoskeletal medical systems, and nursing diagnoses of 'activity and rest' domain (NANADA's classification II, 2005) were analyzed. Six clinical scenarios with the clients in different life cycles were developed for PBL. Classical lecture and group presentation with on-line self learning were implemented in addition to PBL. The developed course was implemented on 84 junior nursing students in a university for 7 weeks with 5 hours per day, two days per week. Students were asked to complete structured questionnaires including problem solving, critical thinking, and nursing diagnosis differentiation abilities. Results: Learner's evaluation was positive in problem solving skills and in the differentiation ability of nursing diagnoses relevant to an 'activity and rest' functional health pattern. Conclusion: Development and implementation of integrated courses based on a blended learning method need to be continued to enhance students' thinking and self-directed learning abilities. Supporting strategies for individual learners should be added for successful blended learning such as individual on-line feedback and consideration of individual learning outcomes.

• Journal of The Korean Association For Science Education
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• v.18 no.4
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• pp.635-641
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• 1998

The purpose of this study was to suggest a new direction of learning method in botany based on the analysis of a classification system and concepts in Science(Biology) textbooks of elementary and secondary school. Elementary and secondary school textbooks of Biology have been analyzed for plant classification system and concepts. Findings are summarized as belows. 1. In textbook of elementary school, the organization of life is grouped into Plantae and Animalia. Learning contents of plant are divided by the size and habitat. However, this system of classification might cause false concepts. Therefore, learning contents should be organized as whether they are flowering plants or not. 2. In a textbook of middle school, the organization of life is grouped into Plantae and Animalia. For a textbook of high school, it is grouped into three kingdoms; Plantae, Animalia and Prorista. With the idea of new age of Life Science, we should change the standards to 5 kingdoms; Plantae, Animalia, Proristae, Fungi and Monera. Moreover, it would be desirable if the concept of plant classification could be explained with a general outline, not by an individual interpretation focusing on characters of species only. In addition to the above indications, a learning course should provide present a standard classification according to a cognitive developemental level. It also has to teach students how to classify plant, in secondary school. Learning materials focusing on algae of the present system, but should be organized based on Seed plants.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.2
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• pp.189-194
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• 2010

In the recommendation system that recommends services to a specific user by using the estimation value of other users for users' recommendation service, collaborative filtering methods are widely used. But such recommendation systems have problems that exact classification is not possible because a specific user is classified to already classified group in the course of clustering and inexact result can be recommended in case of big errors in users' estimation values. In this paper, in order to increase estimation accuracy, the researchers suggest a recommendation system that applies collaborative filtering after reclassifying on the basis of a specific user's classification items and then finding and correcting the estimation values of the users beyond the critical value of time. This system uses a method where a specific user is not classified to already classified group in the course of clustering but a group is reorganized on the basis of the specific user. In addition, the researchers correct estimation information by cutting off the subordinate 10% from the trimmed mean of samples and then applies weight over time to the remaining data. As the result of an experiment, the suggested method demonstrated about 14.9%'s more accurate estimation result in case of using MAE than general collaborative filtering method.

• Journal of Korea Multimedia Society
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• v.18 no.4
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• pp.524-532
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• 2015

All data created in BigData times is included potentially meaning and correlation in data. A variety of data during a day in all society sectors has become created and stored. Research areas in analysis and grasp meaning between data is proceeding briskly. Especially, accuracy of meaning prediction and data imbalance problem between data for analysis is part in course of something important in data analysis field. In this paper, we proposed data prediction model based on data weights and neural network using R for meaning analysis between data. Proposed data prediction model is composed of classification model and analysis model. Classification model is working as weights application of normal distribution and optimum independent variable selection of multiple regression analysis. Analysis model role is increased prediction accuracy of output variable through neural network. Performance evaluation result, we were confirmed superiority of prediction model so that performance of result prediction through primitive data was measured 87.475% by proposed data prediction model.

• Journal of Chest Surgery
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• v.25 no.10
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• pp.1055-1060
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• 1992

Clinical experience of 21 patients with infective endocarditis was reviewed. Endocarditis involved the left-sided valve in 16 cases, the right-sided valve in 2, and PDA in the remaining 3 patients. Valve abnormalities included leaflet perforation in 9 patients, chordal rupture in 2,; annular abscess in 6; and aorticoleft atnal perforation in 2. Sixteen patients underwent valve replacement[aortic valve replacement in 7 patients, mitral replacement in 4 and double valve replacement in 5], two had VSD closure with pulmonary valve excision, three had ductus arteriousus closure. The patients were classified into two groups. I ] Healed endocarditis group: including the patients who had completed a planned cou-rseof antibiotic therapy[N=10], II ] Active endocarditis group: patients in which operations were performed prior to completetion of antibiotic treatment course[N=11]. The indications for operation included congestive heart failure, embolism, and persistent sepsis. Organisms were predominantly streptococcus[N=5] and staphylococcus [N=4] followed by candida, moraxella, and E-coli. By NYHA functional classification, all patients were in Class III or IV preoperatively. There was only one operative mortality in patient from group II. All patients substantially, improved postoperatively with NYHA classification in class I or II. This study shows that early surgical intervention in patients with active endocarditis has desirable outcome.

• Asian Journal of Turfgrass Science
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• v.6 no.2
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• pp.113-119
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• 1992

Soil Classification of 70 golf courses in Korea was identified according to the detailed soil map from Rural Development Administration. Golf courses (GL) soils were included 6 great soil groups(by the old system) and 8 great groups (by the new system) and 17 soil series. Most abundant great soil groups by old system were Red yellow soils(50% of GL) and Lithosols (44%) and by new systems, Dystrochrepts(74%), Eutrochrepts(8.6%) and Hapludults(7.1%) were main great soil groups. Major soil series were indentified as Osan(27.1% G.F), Samgag(18.6%), Yesan(11.4%), Songsan(8.6%) and Daegu(7.1%). Characteristics of great soil groups and soil series were summaried or tabled for golf course management.