• Journal of the Ergonomics Society of Korea
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• v.29 no.1
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• pp.121-128
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• 2010

The purpose of this study is to confirm the impact of noise on subject accomplishment as well as physical/mental load, and evaluates the effects of noise-masking and earplug. 15 college students participate in the test, and the comparison is performed by executing four projects according to conditional categories of noise environments; control condition, noise condition, earplug condition, and noise-masking condition. Noise in the field site of the H manufacturer was used as the noise source, the general job aptitude test which consist of linguistic ability, math ability, perception ability, reasoning ability was used as the task of this project. To estimate physical/mental load evaluation, we used the heart rate R-R interval, Criteria flicker fusion frequency(CFF) and measured NASA-TLX workload for subjective evaluation. As the research outcome, it is shown that there is a meaningful difference for the project task score, dropping rate of CFF, the heart rate, and NASA-TLX subjective evaluation score according to conditions of noise environment. Therefore, the impact of noise on capability of subject accomplishment as well as physical/mental load was confirmed along with the effects of using earplug and noise-masking.

• 대한공업교육학회지
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• v.30 no.1
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• pp.37-45
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• 2005

The purpose of this study is to find out the relationship between the Multiple Intelligence and the technological problem solving and the differences between the two. There were a group of 200 third grade middle school students that were comprised of 100 boys and 100 girls and what the difference is exited between the boys and the girls. To measure the students' Multiple Intelligence, MI(Multiple Intelligent)Test designed by Youngrin, Moon was used. As the testing instrument of the Technological problem Solving, we use the test developed by National Center for Research on Evaluation, Standards, and Students Testing(CRESST). The results were; First, In comparison with the boys and girls' multiple intelligence part, there were individual differences in musical intelligence, bodily-kinesthetic intelligence, logical-mathematical intelligence, and naturalistic intelligence of multiple intelligence. Second, In comparison to the technological problem solving part, there were individual differences in self-regulation and there was a mild difference in understanding of the contents. Third, The multiple intelligence related with the self-regulation is continuous with logical-mathematical intelligence, intra-personal intelligence and linguistic intelligence. Fourth, The multiple intelligence related with the technological problem solving strategy is continuous with logical-mathematical intelligence and musical intelligence. Fifth, The multiple intelligence related with the understanding of the contents is continuous with the logical-mathematical intelligence and naturalistic intelligence. To improve the students' technological problem solving ability, it is required the development of the curriculum which focus on the improvement of logical-mathematical intelligence, musical intelligence, intra-personal intelligence, linguistic intelligence and naturalistic intelligence of the students.

• Korean Journal of Human Ecology
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• v.19 no.1
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• pp.63-74
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• 2010

The purpose of the study was to examine the actual conditions of caregiver-infant ratios, group-room activity areas, evaluations of infant programs and caregiver-infant interactions based on structural and process indicators which are major factors of infant care. The subjects were 20 caregivers and 91 infants from 14 infant classes of 13 day care centers in Daejeon. An actual survey was conducted on caregiver-infant ratios and group-room activity areas, and teaching-learning plans for infants and daily schedules were gathered for the evaluation of infant programs. The caregiver-infant interactions were observed every one minute for a total of 20 minutes using Lee Wan Jeong's "Evaluation Measure of Caregiver-infant Interactions"(1999). The results of this study were as follows: First, caregiver-infant ratios ranged from 2.5 to 7 infants per caregiver, resulting in the difference of the number of infants. Second, the 14 classes for one-year-old infants were arranged in three different ways; 5 classrooms with distinctive activity areas, 2 without any divided areas and 7 containing a mix of partial activity areas. Third, in teaching-learning plans for infants, there were a large number of topics related to seasonal features and experiences while the fewest were about basic life habits. Fourth, in the caregiver-infant interactions, caregivers used more positive interactions and linguistic modeling than sensitive responses to infants and social interactions.

• International Journal of Contents
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• v.13 no.4
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• pp.63-69
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• 2017

The objective of this study was to investigate factors that could bring about successful implementation of extensive reading using online/offline blended English library system called 'Reading Gate' in primary and secondary schools. Although there are a great number of studies on effects of various extensive reading on linguistic, cognitive, and affective development, few studies have investigated how extensive reading programs can be implemented at large scale, e.g., whole school level. After analyzing students' reading levels in 200 schools using the same online extensive reading program called Reading Gate, results showed that while some schools were successful, others were not. Five primary and 13 middle schools were selected as successful schools. Data on implementation of the program of schools was gathered. Eighteen teachers and seven headteachers took part in the interview. After analyzing these data on the implementation of the extensive reading program, results revealed that the following five factors for successful implementation of blended extensive reading programs: online level-up system, teacher intervention, integration with the curriculum, school-level support, and parents' awareness of literacy. This suggests that each factor might have contributed to the successful implementation of the extensive reading program at large scale. Implications and applications of this finding are discussed in this study.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.668-671
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• 1997

This paper describes a new process-plan selection method using a modified Fuzzy Quantification Theory(FQT). The problem for process-plan selection can be characterized by multiple attributes and used subjective, uncertain information. Fuzzy Quantification Theory is used for handling such informations because it is a useful tool when human judgment or evaluation is quantified via linguistic variables and the proposed method is concerned with the selection of a process plan by derivation of the values of categories for each attribute. In this paper, a modified Fuzzy Quantification Theory(FQT) is described and the procedure of this approach is explained and examples are illustrated.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2399-2404
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• 2003

This paper aims at the construction of the system that outputs subjective and consistent linguistic expressions of some pictures. Input to this system is information on some pictures and this system outputs explanations of basic contents of pictures and consistent connective relationships between pictures. The present system consists of the explaining part of basic contents and the explaining part of connective relationship. The former part explains behaviors and feelings of objects drawn in pictures. The latter one explains the matters not drawn in pictures by guessing them from pictures. This part considers consistency of connective relationships. From the viewpoint that the interpretation of pictures is dependent on individual subjectivity, the present system has individual database for individual subjectivity. In order to confirm the usefulness of the present approach, simulation experiments are performed. In the experiments the individual databases of subjects are constructed and the outputs of the system are evaluated. Experiment results show that good evaluation is obtained.

• Architectural research
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• v.12 no.2
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• pp.85-92
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• 2010

In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts' or decision makers' subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model's capacities and imply the application to other extended types of construction robotic systems.

• Proceedings of the Korean Society for Language and Information Conference
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• 2002.02a
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• pp.157-165
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• 2002

This paper describes our ongoing Korean-Chinese machine translation system, which is based on verb patterns. A verb pattern consists of a source language pattern part for analysis and a target language pattern part for generation. Knowledge description on lexical level makes it easy to achieve accurate analyses and natural, correct generation. These features are very important and effective in machine translation between languages with quite different linguistic structures including Korean and Chinese. We performed a preliminary evaluation of our current system and reported the result in the paper.

• Journal of the Korea Computer Industry Society
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• v.5 no.1
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• pp.65-76
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• 2004

In this paper, we observe the differences between linguistic and computational aspect in the automatic processing of languages which are dominant representation method for information in the Internet. For efficient information retrieval, information extraction and machine translation from the massive documents, we investigate analysis units for morphology analysis, syntactic analysis and semantic analysis. and propose the syntactic longest analysis unit rather than morphological unit based on linguistics. Also, by evaluating with massive documents, we show that the proposed analysis units can be used for the constraint which can reduce the ambiguity occurring in the language processing.

• Journal of Institute of Control, Robotics and Systems
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• v.3 no.5
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• pp.490-496
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• 1997

This paper describes a new process-plan selection method using a modified Fuzzy Quantification Theory(FQT). The problem of process-plan selection can be characterized by multiple attributes and used subjective, uncertain information. Fuzzy Quantification Theory is used for handling such information because it is a useful tool when human judgment or evaluation is quantified via linguistic variables, and the proposed method is concerned with the selection of a process plan by derivation of the values of categories for each attribute. In this paper, a modified Fuzzy Quantification Theory(FQT) is described and the procedure of this approach is explained and examples illustrated.