• Journal of Korean Elementary Science Education
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• v.31 no.4
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• pp.501-512
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• 2012

The purpose of this study was to identify the differences in eye movement pattern shown in classification activities between the gifted and regular students in elementary schools. The subjects for the research consisted of five gifted students in the special education center for the gifted at Seoul National University of Education and five students at D regular elementary schools. SMI (Senso Motoric Instruments)' iView $X^{TM}$ RED 120 Hz was used in order to collect eye movement data. Results were as follows. There were difference patterns between the gifted and the regular student in question identification, attribute observation, and criteria generation process. Gifted students minimized unnecessary cognitive overload and took advantage of cognitive economic efficiency. Regular students have a lot of cognitive burden because they did not grasp the essential information.

• The Journal of Society for e-Business Studies
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• v.8 no.3
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• pp.177-195
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• 2003

In a traditional customer support environment, mainly call centers or service centers are responsible for receiving inquiries from their customers via telephone calls. Due to the rapid growth of Internet with its widespread acceptance and accessibility, means of communication with customers in the traditional customer support center, such as telephones, letters, and direct-visiting, have been replaced by e-mails and bulletin board systems (BBSs) using the Internet constantly. BBSs are basically question and answer systems, they require some lead time to get answer from administrator. To reduce lead time, BBSs enable remote customers or users to log on and tap into a knowledge database that is generally formatted in the form of Frequently Asked Questions (FAQs) that provide answers and solutions to the common problems. And, many different types of the questions are mixed on the BBS. It is a burden to administrator. To build FAQs and to support BBS adminstrator, a supporting tool which is to categorize questions is helpful. In this research, we suggest an interactive question categorizing methodology which consists of steps to present question using keywords, identifying keywords' affinity, computing similarity among questions, and clustering questions. This methodology allows users to interact iteratively for clear manifestation of ambiguous questions. We also developed a prototype system, IQC (interactive question categorizer) and evaluated its performance using the comparison experiments with other systems. IQC is not a general purposed system, but it produces a good result in a given specific domain.

• Journal of KIISE
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• v.42 no.6
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• pp.817-822
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• 2015

Relation extraction is an important information extraction technique that can be widely used in areas such as question-answering and knowledge population. Previous studies on relation extraction have been based on supervised machine learning models that need a large amount of training data manually annotated with relation categories. Recently, to reduce the manual annotation efforts for constructing training data, distant supervision methods have been proposed. However, these methods suffer from a drawback: it is difficult to use these methods for collecting negative training data that are necessary for resolving classification problems. To overcome this drawback, we propose a one-class classification model that can be trained without using negative data. The proposed model determines whether an input data item is included in an inner category by using a similarity measure based on lexical information and syntactic patterns in a vector space. In the experiments conducted in this study, the proposed model showed higher performance (an F1-score of 0.6509 and an accuracy of 0.6833) than a representative one-class classification model, one-class SVM(Support Vector Machine).

• The Research Journal of the Costume Culture
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• v.13 no.5 s.58
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• pp.756-762
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• 2005

The objective of this research is to examine psychological desires of college students who attempt to express themselves by wearing so called 'couple look' attire, which is a dressing habit that represents responses to various psychologies and the society. Moreover, the message that is trying to be conveyed to others by dressing as such and the question of whether that message is being conveyed, are subject to analysis by applying linguistic classification theory pertaining to this specific term. After a pre-examination based on a through interview conducted with 70 male and female college student, the main examination was based on question and answering methods on 450 male and female college students for data collection. The results were compared, reviewed and analyzed by applying Geoffrey Leech's meaning segmentation theory on linguistics, and was aimed at defining through research how meaning segmentation represented through languages can be applied in expressing one's self through clothing. The research results are as follows. 1. The psychological desires of wearing couple look attire are to express that they like and love each other, are dating, and to showcase their intimacy. 2. Clothing attire that are appropriate to express the couple look are T-shirts, jeans, pants, sweaters, mufflers, and accessories such as tennis shoes, hats, shoes, bags, rings, watches, ear-rings, etc. 3. Amongst people who have tried the couple look and those who have not, those who have said that they were willing to dress in couple look are mostly experienced in dressing so.

• The Journal of Pediatrics of Korean Medicine
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• v.22 no.1
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• pp.25-34
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• 2008

Objectives The purpose of this study is to investigate whether Korean oriental pediatrics hospitals are using their feedback surveys to improve their medical conditions. Methods We selected 24 oriental medicine university hospitals and sent surveys to investigate. 15 of those surveys were analyzed. Results The results were classified as follows; Only 9 of university hospital said that they are currently using their feedback surveys to improve their services. Question for asking the purpose of doing their feedback surveys, 58.3% of hospital responded to get some information for diagnosis, 25% of them said to see the progress of treatment of specific disease, and 16.7% answered for using their data to the further studies. The question about the reason why hospital were need to make these feedback surveys, 46.2% of them answered to apply better service, 38.4% of them said to post medical journal. The question for asking what do oriental medical hospitals check from feedback surveys, 40% of them said they check Ryodoraku, 33.3% was pulse diagnostic apparatus, EAV(Electro-puncture According to Voll) was 26.7%. The classification according to purpose of test resulted as follows; information for diagnosis was 48.1%, the progress of a disease was 37.3%. In addition oriental medical test there were blood test, radiological test, brain waves test, Hair Tissue Mineral Analysis(HTMA), ultrasonic test, body composition analysis. Conclusions Further clinical research is necessary for improvement of using the feedback survey effectively.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.179-186
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• 2021

We have been developed the smart tourism app and the Instagram and YouTube contents to provide personalized tourism information and travel product information to individual tourists. In this paper, we develop a rule-based smart tourism chatbot with the khaiii (Kakao Hangul Analyzer III) morphological analyzer and Neo4J graph database. In the proposed chatbot system, we use a morpheme analyzer, a proper noun dictionary including tourist destination names, and a general noun dictionary including containing frequently used words in tourist information search to understand the intention of the user's question. The tourism knowledge base built using the Neo4J graph database provides adequate answers to tourists' questions. In this paper, the nodes of Neo4J are Area based on tourist destination address, Contents with property of tourist information, and Service including service attribute data frequently used for search. A Neo4J query is created based on the result of analyzing the intention of a tourist's question with the property of nodes and relationships in Neo4J database. An answer to the question is made by searching in the tourism knowledge base. In this paper, we create the tourism knowledge base using more than 1300 Jeju tourism information used in the smart tourism app. We plan to develop a multilingual smart tour chatbot using the named entity recognition (NER), intention classification using conditional random field(CRF), and transfer learning using the pretrained language models.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.2
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• pp.11-24
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• 2022

For the questions asked for LMS-based online evaluation the professor directly set exam questions, or use the automatic question-taking method according to the level of difficulty using the question bank divided by category. Among them, it is important to manage the difficulty of questions in an objective and efficient way, above all, in the automatic question-taking method according to difficulty. Because the questions presented to the evaluators may be different. In this paper, we propose an difficulty re-adjustment algorithm that considers not only the correct rate of a problem but also the time taken to solve the problem. For this, a logistic regression classification algorithm was used of machine learning, and a reference threshold was set based on the predicted probability value of the learning model and used to readjust the difficulty of each item. As a result, it was confirmed that there were many changes in the difficulty of each item that depended only on the existing correct rate. Also, as a result of performing group evaluation using the adjustment difficulty problem, it was confirmed that the average score improved in most groups compared to the difficulty problem based on the percentage of correct answers.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.24 no.4
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• pp.425-435
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• 2014

Objectives: This study was performed in order to establish reliable and relative selection criteria for hazardous substances requiring management(HSRM) in the Occupational Safety and Health Act in Korea. Methods: To determine the relative criteria and weight of evidence for HSRM, we analyzed the difference between the selection method of priority substances in studies by KOSHA(Korea Occupational Safety and Health Agency) and the European Union Risk Ranking Method(EURAM). In addition, 597 hazardous substances with exposure limit valueswereanalyzed and the posted health hazards classification by MOEL(Ministry of Employee and Labor), MOE(Ministry of Environment), and EU CLP(Classification, Labelling and Packaging regulation) were compared based on GHS(Globally Harmonized System of classification and labelling of chemicals) criteria. The existing HSRM(167 substances) were evaluated for suitability by the proposed criteria in this study. Results: As a result of this study, the criteria and procedures for selecting HSRM in the Occupational Safety and Health Act were arranged utilizing GHS health hazard classification results, occupational disease cases and domestic use situations. Conclusions: The applicability of the proposed criteria was proved via the evaluation of existing HSRM(167 substances). Most HSRM (161 substances) were found to correspond to a significant health effect or substantial health effect. The question of whether to include the six substances that have been found to have general health effects as HSRM would be require further research.

• Journal of the Korean Society of Safety
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• v.39 no.1
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• pp.82-95
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• 2024

Analyzing the aftermath of events at domestic nuclear power plants brings in the question: "Why do workers not comply with the prescribed procedures?" The current investigation of nuclear power plant events identifies their reasons considering the factors affecting the workers' behaviors. However, there are some complications to it: in addition to confirming the action such as an error or a violation, there is a limit to identifying the intention of the actor. To overcome this limitation, the study analyzed and examined the reasons for non-compliance identified in nuclear power plant events by Reason's rule-related behavior classification. For behavior analysis, I selected unit behaviors for events that are related to human and organizational factors and occurred at domestic nuclear power plants since 2017, and then I applied the rule-related behavior classification introduced by Reason (2008). This allowed me to identify the intentions by classifying unit behaviors according to quality and compliance with the rules. I also identified the factors that influenced unit behaviors. The analysis showed that most often, non-compliance only pursued personal goals and was based on inadequate risk appraisal. On the other hand, the analysis identified cases where it was caused by such factors as poorly written procedures or human system interfaces. Therefore, the probability of non-compliance can be reduced if these factors are properly addressed. Unlike event investigation techniques that struggle to identify the reasons for employee behavior, this study provides a new interpretation of non-compliance in nuclear power plant events by examining workers' intentions based on the concept of rule-related behavior classification.

• The Journal of Korean Physical Therapy
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• v.14 no.4
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• pp.172-182
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• 2002

Objectives: We did research in the cause of the Pitchers' injury and their recovery process to make a detailed injury list for the purpose of finding the cause of the Korean professional pitchers' injury and its classification. We drew the conclusion through the results as following. Methods: We posed a question to the 80 pitchers playing in the first team of the eight Korean professional baseball team and analyzed the 62 pieces of question paper except the paper having a mistake. We used SAS/PC statistical package in analyzing the data. Results: In the frequency of the pitchers' shoulder injury in the last three years, the injured of all the players were 61.3$\%$ and the injury free players were 28.7$\%$. The cause of the injury was 45.2$\%$ wrong pitching motion, which was the highest value. For the shape of a pain when injured, the reverberation ache feeling when he is hit in the weight commanded an absolute majority as 19.4$\%$. Those who had muscular pain were 17.7$\%$, which was felt mostly at the pitching motion. The most trouble name of the injured shoulder was bicepstendinitis as 16.1$\%$ while the injury of shoulder joint was the lowest as 1.6$\%$. As the most widely used treatment, 25.8 percent of all the players had taken an electronical thraphy after injury. 14.5 percent of the players who had an injury to the shoulder told that they have an operation and 85 percent of them didn't. As a sort of the operation, a repairing of labrum was 44.4 percent, which is the highest value and the 77.8 percent pitchers are performing a normal pitching through rehabilitation after the operation and 22.2 percent of them are undergoing rehabilitation training. Conclusion: The research have shown that the main cause of the injury, concerning the Korean professional pitchers throwing lots of ball in both matches and practices, is overuse syndrome, bad mechanism, muscle weakness and instability of balance. I think that the role of trainer, physical therapy, and team physician taking charge of the players' injury must learn physical test method by heart exactly to check up the state of the injury definitely at the initial phase. Moreover, when the cause of the injury part after a close examination is discovered, the scientific and good surgery is essential to the rehabilitation success and making a classification of shoulder instability is useful to make a operation plan as well as the players' rehabilitation, treatment.