• Journal of information and communication convergence engineering
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• v.21 no.2
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• pp.130-138
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• 2023

The selection of the correct examination variables for diagnosing heart disease provides many benefits, including faster diagnosis and lower cost of examination. The selection of inspection variables can be performed by referring to the data of previous examination results so that future investigations can be carried out by referring to these selected variables. This paper proposes a model for selecting examination variables using an Artificial Bee Swarm Optimization method by considering the variables of accuracy and cost of inspection. The proposed feature selection model was evaluated using the performance parameters of accuracy, area under curve (AUC), number of variables, and inspection cost. The test results show that the proposed model can produce 24 examination variables and provide 95.16% accuracy and 97.61% AUC. These results indicate a significant decrease in the number of inspection variables and inspection costs while maintaining performance in the excellent category.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.3
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• pp.11-18
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• 2004

It is making researches in questions selection method for examination in web-based education system. Most questions made for these remote examinations use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. This paper proposes a new examination questions selection algorithm in web-based education system for engineer test. Generally, Engineer test is characterized by adequate examination questions selection for degree of difficulty and equally between all units. Therefore this algorithm selected examination questions equally well as regards degree of difficulty and distribution between all units. This algorithm providers more effective education examination method as compared with previous algorithm.

• Journal for History of Mathematics
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• v.19 no.3
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• pp.1-20
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• 2006

The administrative service in Chosun Dynasty relating to mathematics was carried out by the middle class(中人) mathematicians selected by the official selection examination(取才). They belong to HoJo(戶曹) department and their ranks are GyeSa(計士), ByulJe(別提), HunDo(訓導 = mathematics teacher), and GyoSu(敎授 = mathematics professor). We call them SanWon(算員). HunDo and GyoSu played very important role although their ranks are low, for they educate SanWon and manage the official selection examination. Using JuHakSeonSaengAn(籌學先生案, List of mathematics teachers) and JuHakIpGyukAn(籌學入格案, List of successful candidates in the official selection examination for mathematics), we investigate HunDo and GyoSu in Chosun Dynasty.

• Journal of Science Education
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• v.39 no.2
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• pp.278-289
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• 2015

The purpose of this study is to analyze selection methods of gifted students. This study focuses on the understanding the characteristics of gifted students in accordance with the selection methods, i.e. the examination selection and automatic promotion by analyzing and comparing the academic emotion, meta-cognition, and self-efficacy between gifted students selected according to the selection methods. Moreover, for the purpose of the effective gifted education, this study aims to arrange a reasonable basis for the discrimination and selection of gifted students. The results of this study were as follows. First, there was no meaningful difference between gifted students selected by an examination and promoted automatically in view of academic emotion, meta-cognition, and self-efficacy of gifted students. It is determined that there is no difference between the effects of selection methods under the condition of the same group of gifted students. Second, regarding the academic emotion of gifted students, there is no significant difference in both the elementary and middle school in case of examination selection. However, in case of the automatic promotion, the academic emotion of gifted students promoted automatically in the gifted education center was higher than that of the gifted students in the gifted class (p < .05). Regarding the meta-cognitive skill, there is no difference in the elementary school between the selection methods. In case of the examination selection in the middle school, the meta-cognitive skill of male students of the gifted education center was higher than that of the female and gifted class students (p < .05). In case of the automatic promotion in the middle school, the meta-cognitive skill of students of the gifted education center was higher than that of students of the gifted class (p < .05). As for the case of self-efficacy, there were no differences between the selection methods. In the automatic promotion, self-efficacy of students of the gifted education center was higher than that of students of the gifted class (p < .05).

• The Journal of the Korea Contents Association
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• v.12 no.7
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• pp.473-482
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• 2012

This study is aimed to design for qualification structure and criteria for preparation of qualification test of the Livestock. In this study, a DACUM(Development A curriculum) method job analysis to extract contents such as task range, eligibility, examination standards, selection criteria of examination questions, examination methods, etc was done by an job analysis committee composed of 7 specialists in the industry and academia. In the first place, this report presents job analysis models by procedures for developing selection criteria of examination questions of the Livestock. The first step is preparation for job analysis(data research, interviews and selection of experts), the second step the establishment of job models(first expert council and site study), the third step the drawn-out of knowledge, skills, and tools(the second expert council and site study), the fourth step the selection of courses and an examination subject(the third expert council), the fifth step the establishment of guidelines for making questions(the third site study).

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.471-480
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• 2005

Most questions made for remote examinations on web-based education system use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. Particularly, automatically selection methods using degree of difficulty is the kernel of a question that objectivity of the first degree of difficulty for questions and an effective questions selection using degree of difficulty and mediateness degree of difficulty based result of examination. This paper is use automatically selection methods for examination on web-based education system. Firstly, we present new question selection algorithms as regards degree of difficulty and distribution between all units. Secondly, we present new algorithms of mediateness degree of difficulty as regards education ability of students for adjust the degree of difficulty. We identified this algorithms is more effective as compared with previously algorithms on web-based education system.

• The Journal of the Korean dental association
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• v.51 no.1
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• pp.39-45
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• 2013

Radiographic examinations are used to discover and define the type and extent of disease in many clinical situations. Currently, it is common for dental patients to receive dental radiographic examinations on a routine schedule with little variation in spite of different patient signs and symptoms. Such routine scheduling of radiographic examinations may result in unnecessary patient exposure. There is also the possibility of under-utilization of radiography; this can result in inadequate or excessively delayed diagnosis. Patient selection criteria are descriptions of clinical conditions derived from patient signs, symptoms and history that identify patients who are likely to benefit from a particular radiographic examination. It makes possible making individual decisions based on history, clinical examination and risk factors. The radiographic selection criteria of dentistry have been revised in accordance with recent guidelines and peer-reviewed research in USA and Europe, but the studies of these subjects are not sufficient in our nation. In this review article, the relating factors and update necessity of radiographic selection criteria are discussed.

• Journal of information and communication convergence engineering
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• v.20 no.1
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• pp.31-40
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• 2022

Coronary heart disease (CHD) is a comorbidity of COVID-19; therefore, routine early diagnosis is crucial. A large number of examination attributes in the context of diagnosing CHD is a distinct obstacle during the pandemic when the number of health service users is significant. The development of a precise machine learning model for diagnosis with a minimum number of examination attributes can allow examinations and healthcare actions to be undertaken quickly. This study proposes a CHD diagnosis model based on feature selection, data balancing, and ensemble-based classification methods. In the feature selection stage, a hybrid SVM-GA combined with fast correlation-based filter (FCBF) is used. The proposed system achieved an accuracy of 94.60% and area under the curve (AUC) of 97.5% when tested on the z-Alizadeh Sani dataset and used only 8 of 54 inspection attributes. In terms of performance, the proposed model can be placed in the very good category.

• Journal of radiological science and technology
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• v.22 no.2
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• pp.61-68
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• 1999

The purpose of this study is to present controversial point and reform measurements by analysing factors haying important effect on selection of upper gastrointestinal study in total health promotion. We examined 200 persons for this study, who visited for upper gastrointestinal study from January to February in 1999. We classified this group into Endoscopy, Upper gastrointestinal series, and sleeping endoscopy. We also investigated standard of satisfaction and factors having effect on selection of each study. As a results, in the motive of selection, Item of 'making accurate observation' and 'without pain' was 39.3% and 34.7%, respectively. In this study, sleeping endoscopy was 45.7%, but on the other side upper gastrointestinal series was low 22.6%(P<0.05). In the standard of preference of study, the man was 55.7% in the endoscopy, and the woman was 61.8% in the upper gastrointestinal series(P<0.05). The standard of preference of upper gastrointestinal series show that it was satisfied on the whole irrespective of sex, dwelling place, age, occupation, and level of education. In the selection of study, one's own will was showed the highest frequency, and family inducement was showed second(P<0.05). Persons over 60% were examined before the same study. Selection of upper gastrointestinal series was 47.9% of person with normal findings, and endoscopy and sleeping endoscopy was over 70% with gastritis, gastric and duodenal(P<0.01). For one's accurate selection of examination, it is important that objective and credible information should be given to a recipient for examination.

• Journal of Engineering Education Research
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• v.9 no.3
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• pp.22-36
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• 2006

This paper is aimed to design for qualification structure and criteria for preparation of qualification test of computer operation engineer. In this study, a DACUM(Development A curriculum) method job analysis to extract contents such as task range, grades or ranks, eligibility, examination standards, selection criteria of examination questions, examination methods, etc was done by an job analysis committee composed of 7 specialists in the industry and academia. In the first place, this report presents job analysis models by procedures for developing selection criteria of examination questions of computer operation engineer. The first step is preparation for job analysis(data research, interviews and selection of experts), the second step the establishment of job models(first expert council and site study), the third step the drawn-out of knowledge, skills, and tools(the second expert council and site study), the fourth step the selection of courses and subjects(the third expert council), the fifth step the establishment of guidelines for making questions(the third site study).