• Transactions of the Korean Society of Automotive Engineers
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• v.17 no.3
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• pp.68-73
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• 2009

The purpose of this study is to assess key competencies, especially mathematical skills and communications skills, in order to find disaccord between industry and college in the field of automotive electricity on technical engineering education. For this study, an assessment sheet is consisted of nine questions items. Four questions items of them are to assess mathematical skills and five questions items of them are to assess communications skills. 134 copies returned assessment sheets are analyzed after data cleaning and it is concluded that disaccord between industry and college in the field of automotive electricity on technical engineering education is found.

• Journal of Engineering Education Research
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• v.11 no.3
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• pp.63-69
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• 2008

This study provides a program to promote effective project instruction. With a 4 step learning model as preparation, planning, implementation and evaluating it was adapted to a course of study in automobile electricity fields of college. The purpose of this study was to document project process from the learner's point of view and examine the effect of project instruction with recognition of learner who has completed a course of project study. The data from 28 learner in hardware and software automobile electricity fields of college were collected and interpreted statistically by t-test at the .05 level of significance. It was concluded as follows. It emphasizes the importance not only of motivating active group effort and cooperative relationship between group members, but also communication with presentation in order to have a successful accomplishment of a project.

• Journal of the Semiconductor & Display Technology
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• v.15 no.2
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• pp.1-5
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• 2016

3D printer is the equipment of the system for sequentially layer laminated in the materials. Now 3D printer used in various fields such as, semiconductor, electricity automobile, medical and various types of output method and material. In this paper, we studied about the improvement on warpage due to shrinkage of product from 3D printer of FDM(Fused Deposition Modeling) type, we proposed measures systematically to solve warpage problem using of 6SC(6 Step Creativity) method of practical TRIZ. After experimented with product prototypes experiment, we verified effect about solution.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.11
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• pp.1696-1706
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• 2009

Nonwoven fabrics have been widely used in various fields that include household, industrial, agricultural, medical goods, especially in the automobile industry. In this study, eco-friendly fiber materials were developed and investigated as a substitute material for polyester fibers in nonwovens. To make plant fiber bundles, stems of Indian mallow (IM), and Kuzu vine (KV) were retted; in addition, the non-cellulose component was partially removed. Plant fiber bundles and polyester fibers (P) were blended and needle punched to produce nonwovens. Five kinds of nonwovens were manufactured: P100 (Polyester 100%), IM10 (IM 10% and Polyester 90%), IM20 (IM 20% and Polyester 80%), KV10 (KV 10% and Polyester 90%), and KV20 (KV 20% and Polyester 80%). The color values, surface appearance, tensile strength, elongation, tear strength, abrasion strength, flexstiffness, moisture regain, water or oil absorbency, and static electricity of manufactured nonwovens are investigated. As the blended ratios of IM or KV increased, the brightness of nonwovens decreased compared to that of polyester 100%. Tensile strength, tear strength, abrasion strength, and flexstiffness of IM10 as well as KV10 were higher than those of P100, IM20, and KV20, resulting from the influence of the structure and properties of nonwoven fibers. Moisture regain and water or oil absorbency increased, while static electricity decreased in proportion to the amount of plant fibers. IM or KV and polyester blended nonwovens showed improved properties over P100 that could be substituted for P100 as a novel material for textiles.

• Smart Media Journal
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• v.10 no.1
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• pp.55-62
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• 2021

We applied machine learning of semi-supervised learning, transfer learning, and federated learning as examples of AI use cases that can be applied to the three major industries(Automobile industry, Energy industry, and AI/Healthcare industry) of Gwangju Metro-city, and established an ML strategy for AI services for the major industries. Based on the ML strategy of AI service, practical approaches are suggested, the semi-supervised learning approach is used for automobile image recognition technology, and the transfer learning approach is used for diabetic retinopathy detection in the healthcare field. Finally, the case of the federated learning approach is to be used to predict electricity demand. These approaches were tested based on hardware such as single board computer Raspberry Pi, Jaetson Nano, and Intel i-7, and the validity of practical approaches was verified.