• Journal of Agricultural Extension & Community Development
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• v.8 no.2
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• pp.191-199
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• 2001

The objectives of this study was to explore the concept, the origin and history, and classification of amenity. Amenity is a new approach about nature, environment and the world. The concept, origin and classification of amenity was widely diversified, however, the concept of amenity was inclusive and abstract, so amenity was easier to recognize than to define. Even though many people were interested in amenity, however, the movement or practice of amenity in Korea was still in infancy stage. This paper was an exploratory study of amenity and more detailed further studies on amenity should conducted in Korea. It was suggested that we should not start on philosophical question of amenity. We should rather start on practical problems of how to put into practice to insure quality of life in the community, to conserve nature, to study practical dimensions of amenity, and to develop indicators to measure amenity.

• Journal of the Korean Professional Engineers Association
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• v.43 no.5
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• pp.56-59
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• 2010

Pine-Mushroom(Trichroma matsutake) Bidding System was faced with a difficult question. Both producers and consumers are required to meet improvement. Classification system has been improved with the digital system. Standard uncertainty is likely to be clearly established.

• Journal of KIISE
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• v.43 no.10
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• pp.1085-1093
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• 2016

Community-based Question Answering system is a system which provides answers for each question from the documents uploaded on web communities. In order to enhance the capacity of question analysis, former methods have developed specific rules suitable for a target region or have applied machine learning to partial processes. However, these methods incur an excessive cost for expanding fields or lead to cases in which system is overfitted for a specific field. This paper proposes a multiple machine learning method which automates the overall process by adapting appropriate machine learning in each procedure for efficient processing of community-based Question Answering system. This system can be divided into question analysis part and answer selection part. The question analysis part consists of the question focus extractor, which analyzes the focused phrases in questions and uses conditional random fields, and the question type classifier, which classifies topics of questions and uses support vector machine. In the answer selection part, the we trains weights that are used by the similarity estimation models through an artificial neural network. Also these are a number of cases in which the results of morphological analysis are not reliable for the data uploaded on web communities. Therefore, we suggest a method that minimizes the impact of morphological analysis by using character features in the stage of question analysis. The proposed system outperforms the former system by showing a Mean Average Precision criteria of 0.765 and R-Precision criteria of 0.872.

• Clinics in Shoulder and Elbow
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• v.26 no.1
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• pp.25-31
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• 2023

Background: This study analyzed questions searched by rotator cuff patients and determined types and quality of websites providing information. Methods: Three strings related to rotator cuff repair were explored by Google Search. Result pages were collected under the "People also ask" function for frequent questions and associated webpages. Questions were categorized using Rothwell classification and topical subcategorization. Webpages were evaluated by Journal of the American Medical Association (JAMA) benchmark criteria for source quality. Results: One hundred twenty "People also ask" questions were collected with associated webpages. Using the Rothwell classification of questions, queries were organized into fact (41.7%), value (31.7%), and policy (26.7%). The most common webpage categories were academic (28.3%) and medical practice (27.5%). The most common question subcategories were timeline of recovery (21.7%), indications/management (21.7%), and pain (18.3%). Average JAMA score for all 120 webpages was 1.50. Journal articles had the highest average JAMA score (3.77), while commercial websites had the lowest JAMA score (0.91). The most commonly suggested question for rotator cuff repair/surgery was, "Is rotator cuff surgery worth having?," while the most commonly suggested question for rotator cuff repair pain was, "What happens if a rotator cuff is not repaired?" Conclusions: The most commonly asked questions pertaining to rotator cuff repair evaluate management options and relate to timeline of recovery and pain management. Most information is provided by medical practice, academic, and medical information websites, which have highly variable reliability. By understanding questions their patients search online, surgeons can tailor preoperative education to patient concerns and improve postoperative outcomes.

• International Journal of Knowledge Content Development & Technology
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• v.7 no.1
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• pp.101-120
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• 2017

Healthcare professionals have edited many health questions (HQs) and their answers for healthcare consumers on the Internet. The HQs provide both readable and reliable health information, and hence retrieval of those HQs that are relevant to a given question is essential for health education and promotion through the Internet. However, retrieval of relevant HQs needs to be based on the recognition of the intention of each HQ, which is difficult to be done by predefining syntactic and semantic rules. We thus model the intention recognition problem as a text classification problem, and develop two techniques to improve a learning-based text classifier for the problem. The two techniques improve the classifier by location-based and area-based feature weightings, respectively. Experimental results show that, the two techniques can work together to significantly improve a Support Vector Machine classifier in both the recognition of HQ intentions and the retrieval of relevant HQs.

• Journal of the Korean earth science society
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• v.42 no.2
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• pp.221-244
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• 2021

To examine the limitations of the the Blosser's (1973) 'Question Category System for Science', which is mainly applied to research in science education in Korea, we analyzed 30 hours of class conversation in a small group program (for first-year middle school students) with a researcher participating as a teacher. When classified according to Blosser's (1973) classification system, distinguishing between 'open and closed questions' was difficult. Questions with the same content were classified into different types depending on their context, whereas some questions could not be classified appropriately. Additionally, higher-level questions (open questions) were not more effective than lower-level questions (closed questions) in improving students' thinking ability or participation in class. The questionnaire's effect differed depending on the information provided by the teacher before questioning, and in many cases, previous question influenced the next questions. However, in the science education questionnaire research based on Blosser's (1973) classification, which is mainly conducted in Korea, each individual question is classified according to the cognitive level, disregarding the influence of context and prior and subsequent questions and the quality of instructions is evaluated by the frequency of higher level questioning. The results of this study indicate that the method of evaluating instruction quality based on the frequency of high-level questioning, which is currently conducted in domestic science education inquiry research, should be avoided.

• Journal of Sasang Constitutional Medicine
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• v.21 no.1
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• pp.79-84
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• 2009

1. Objectives This study was proposed to use the test-retest method to verify the independence and agreement between the questions (Short Form Sasang Classification Questionnaire for American ; SF_SSCQ-A). 2. Methods The questionnaire was administered to 50 American and they were asked to complete the questionnaire again two weeks after the first administration. The final subjects are 42 except of 5 dropouts and 3 insufficient respondents. A reliability analysis for each individual question was conducted using the test-retest method to verify the independence and agreement between the questions. To verify independence, a Chi-square test with crosstabs analysis and p-values was used. The agreement verification was conducted by using the Cohen kappa coefficient. In addition, the constitutional variable was defined as the constitutional attribute of each question, and Pearson's correlation coefficient was confirmed after testing the scale. 3. Results and Conclusions The test-retest method showed that Pearson's correlation coefficients for the results of the two tests ranged from 0.66 to 0.87. The Chi-square test results indicated that there are 7 independent item. Among the other 114 questions, the agreement test revealed that 88 questions (70.5%) showed above common agreement.

• The Journal of Internal Korean Medicine
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• v.24 no.2
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• pp.171-180
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• 2003

Background : Till now Efficacy of Taeyangin medicine have not existsd in Medical Oriental medical, QSCC II(Questionnaire of sasang Constitution Classification II) can't discriminate Taeyangin is known to everybody. Objective : We have made an Effort to find out Essence of Taeyangin's Disease. Method : we have examined patient's feeling of improvement, Disease entity, Term of taking medicine, Period of ilness With eath symptoms, Comparison Taeyangin part Marks of QSSC II with Marks of improved Taeyangin questionnaire. Result : According to 43 Case of Patients Treated with Ogapijangchuk-tang, Ogapijangchuk-tang is more effective to cure Fatigue taking Headache and Dizziness than Myalgia and so on. and Item of more improved Taeyangin's constitution Question is more effective than Item of Taeyanin's constitution question in QSCC II.

• The Journal of Korean Physical Therapy
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• v.29 no.5
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• pp.271-275
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• 2017

Purpose: The aim of this study was to investigate the current status of the use of neglect test tools and the awareness for egocentric neglect (EN) and allocentric neglect (AN). Methods: A survey questionnaire was distributed to occupational therapists attending continuing education at the Daegu-Gyeongbuk branch on April 16. A total 143 responses were collected, and with the exception of 5 incomplete responses, 138 of them were analyzed. Results: The most commonly used unilateral neglect test tools were the line bisection test (86 responses, 62.3%), cancellation test (35 responses, 25.4%), copy and drawing test (7 responses, 5.1%). In a follow-up survey of 86 respondents who used line bisection tests as the most commonly used test, the majority (82 responses, 95.3%2) were found to use the 20-line test paper. In question about the familiarity and education experience for test manual, only 20 responses (23.2%) and 3 responses (3.5%) answered 'Yes'. In a question about the experience of a manual and the article for the manual, 25 responses (29.1%) answered 'Yes'. In the question regarding the separation of EN and AN on the unilateral neglect test, 44 responses (31.9%) were 'distinction' and 94 responses (68.1%) were 'no distinction'. Conclusion: Information on the guidance and interpretation of the line bisection test is lacking and the concept of EN and AN was insufficient.

• The Journal of Korean Association of Computer Education
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• v.21 no.6
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• pp.83-92
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• 2018

The subjective question is appropriate for evaluation of deep thinking, but it is not easy to score. Since, regardless of same scoring criterion, the graders are able to produce different scores, we need the objective automatic evaluation system. However, the system has the problem of Korean analysis and comparison. This paper suggests the Korean syntactic analysis and subjective grading system using the syntactic-semantic tree comparator. This system is the hybrid grading system of word based and syntactic-semantic tree based grading. This system grades the answers on the subjective question using the syntactic-semantic comparator. This proposed system has the good result. This system will be utilized in Korean syntactic-semantic analysis, subjective question grading, and document classification.