• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.706-708
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• 2017

노지에서 재배되는 실외작물의 경우 외부 환경에 노출되어 재배되기에 생육 또는 수학시기가 외부 요인에 많은 영향을 받는다. 이러한 외부 요인 중 과일의 당도 및 수확량에 많은 영향을 미치는 요인은 바로 날씨이다. 고온의 날씨 또는 저온의 날씨가 지속되거나 강한 풍속, 적절한 강수가 이루어지지 않을 경우 과일의 당도가 낮아지거나, 흠집이 발생할 수 있어 과일 도매가격에 영향을 미치게 된다. 본 논문에서는 월별 평균 온도, 강우량, 습도, 일사량, 최대풍속 등의 날씨 관련 데이터와 제사 또는 명절에 자주 사용되는 과실류인 배, 단감, 사과, 수박의 도매가격간의 상관관계를 분석을 통해 얻은 결과로 추후 농산물 가격 예측 또는 과일 가격 예측 연구에 기여를 하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.1067-1068
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• 2015

자동차 부품생산 시 발생할 수 있는 다양한 결함을 생산 공정 중에 결함을 발견하는 것은 사후 비용절감 부분에서 매우 중요하다. 특히 플라스틱과 같은 사출성형(injection molding) 경우 흠집(scratch) 및 미성형이 빈번하게 발생되어 납기지연에 주 원인이 되고 있다. 본 논문에서는 LabView 기반의 비젼시스템(vision system)을 활용하여 플라스틱 제품에 발생할 수 있는 다양한 결함을 검출할 수 있는 검출시스템을 개발하고자 한다. 또한 발생된 결함을 DB 화하여 결함 원인을 분석할 수 있는 데이터를 확보하고, 불량률을 줄여 생산 공정을 개선하고자 한다.

• Journal of the Korean Society of Hazard Mitigation
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• v.2 no.1 s.4
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• pp.135-141
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• 2002

Both non-linear damping values of the deep and shallow crustal materials and seismic source parameters are found from the observed near-field seismic ground motions at the South-eastern Korean Peninsula. The non-linear numerical algorithm applied in this study is Levenberg-Marquadet method. All the 25 sets of horizontal ground motions (east-west and north-south components at each seismic station) from 3 events (micro to macro scale) were used for the analysis of damping values and source parameters. The non-linear damping values of the deep and shallow crustal materials were found to be more similar to those of the region of the Western United States. The seismic source parameters found from this study also showed that the resultant stress drop values are relatively low compared to those of the Western United Sates. Consequently, comparisons of the various seismic parameters from this study and those of the United States Seismo-tectonic data suggest that the seismo-tectonic characteristics of the South eastern Korean Peninsula is more similar to those of the Western U.S.

• Restorative Dentistry and Endodontics
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• v.32 no.3
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• pp.180-190
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• 2007

The purpose of this study was to evaluate the abrasion resistance of surface penetrating sealant which was applied on a composite resin restoration and to provide proper time to reapply sealant on composite resin surface. Two hundred rectangular specimens, sized $8\times3\times2mm$, were made of Micronew (Bisco, Inc., Schaumburg, IL, U.S.A) and divided into two groups; F group (n = 10) was finished with coarse and medium grit of Sof-Lex discs and BisCoverwas applied B group (n = 190) after finishing with discs. B group was again subdivided into nineteen subgroups From B-1 group to B-18 group were subjected to toothbrush abrasion test using a distilled water-dentifrice slurry and toothbrush heads B-IM group was not subjected to toothbrush abrasion test. Average surface roughness (Ra) of each group was calculated using a surface roughness tester (Surfcorder MSE-1700: Kosaka Laboratory Ltd., Tokyo, Japan) . A representative specimen of each group was examined by FE-SEM (S-4700: Hitachi High Technologies Co., Tokyo, Japan). The data were analysed using cluster analysis, paired t-test, and repeated measure ANOVA. The results of this study were as follows; 1. Ra off group was $0.898{\pm}0.145{\mu}m$ and B-IM group was $0.289{\pm}0.142{\mu}m$. Ra became higher from B-1 group $(0.299{\pm}0.48{\mu}m$ to B-18 group $(0.642{\pm}0.313{\mu}m$. 2. Final cluster center of Ra was $0.361{\mu}m$ in cluster 1 $(B-IM\simB-7)$, $0.511{\mu}m$ in cluster 2 $(B-8\simB-14)$ and $0.624{\mu}m$ in cluster 3 ($(B-15\simB-18)$. There were significant difference among Ra of three clusters. 3 Ra of B-IM group was decreased 210.72% than Ra of F group. Ra of B-8 group and B-15 group was increased 35.49% and 51.35% respectively than Ra of B-IM group. 4. On FE-SEM, B-IM group showed the smoothest resin surface. B-8 group and B-15 group showed vertically shallow scratches , and wide and irregular vertical scratches on composite resin surface respectively. Within a limitation of this study, finished resin surface will be again smooth and glazy if BisCover would be reapplied within 8 to 14 months after applying to resin surface.

• Korean Chemical Engineering Research
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• v.60 no.1
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• pp.132-138
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• 2022

In this study, a basic study was performed to systematically compare the changes in surface properties according to the post-processing method of the stereolithography (SLA) printing method, which is a photocuring 3D printing method, and to provide information on the post-processing method suitable for the application. Although it was possible to improve some of the transparency of the SLA-type output by regularly changing the irregular microstructure of the surface through polishing, it was difficult to secure sufficient transparency like glass. The change in contact angle characteristics due to grinding showed a tendency to slightly increase as the grinding time increased and the particle size of the sandpaper used was small, but the variation between samples was large and the average contact angle was 77~90°, showing no statistically significant difference. Surface treatment methods other than polishing were tried, and it was confirmed that it was possible to easily and simply improve the transparency by applying a commercially available vehicle scratch remover or silicone oil. In addition, a method for securing high transparency such as glass by using a scratch remover after sequential grinding while reducing the particle size of the sandpaper was proposed. Finally, even after surface treatment through polishing and various methods, it was difficult to secure a contact angle of 90° or more.

• Smart Media Journal
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• v.11 no.4
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• pp.46-55
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• 2022

It is very important to first detect and remove defective fruits with scratches or bruised areas in the automatic fruit quality screening system. This paper proposes a method of detecting defective areas in fruits using the latest artificial intelligence technology, the Yolo V4 deep learning model in order to overcome the limitations of the method of detecting fruit's defective areas using the existing image processing techniques. In this study, a total of 2,400 defective fruits, including 1,000 defective apples and 1,400 defective fruits with scratch or decayed areas, were learned using the Yolo V4 deep learning model and experiments were conducted to detect defective areas. As a result of the performance test, the precision of apples is 0.80, recall is 0.76, IoU is 69.92% and mAP is 65.27%. The precision of pears is 0.86, recall is 0.81, IoU is 70.54% and mAP is 68.75%. The method proposed in this study can dramatically improve the performance of the existing automatic fruit quality screening system by accurately selecting fruits with defective areas in real time rather than using the existing image processing techniques.

• Journal of the Korean Vacuum Society
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• v.11 no.4
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• pp.235-239
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• 2002

A new method for deep trench isolation using selective growth of polycrystalline silicon is proposed. In this method, trench filling is performed by forming polysilicon-inner sidewalls within the trench, and then selectively growing them by reduced chemical vapor deposition using $SiH_2C1_2$gas at $1100^{\circ}C$. The surface profiles of filled trenches are determined mainly by the initial depth of inner sidewalls and the total thickness of selective growth. No chemical mechanical polishing(CMP) process is needed in this new method, which makes the process flow simpler and more reliable in comparison with the conventional method using CMP process.

• Journal of IKEEE
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• v.20 no.4
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• pp.454-458
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• 2016

Generally, fix the end of the fabric to pin with the fabric tenter process. At this time, the pin fixing part of the fiber fabric bulges and deforms. The deformation of the textile causes deterioration of the quality of the textile product. Detection of fiber fabric selvage portion is always required in the processing of the fabric. This research is a non-contact sensor for sensing fiber selvage. In this study, Developed a non-contact fabric selvage detecting sensor for use in automatic selvage cutting system. For the production of the fabric selvage detecting sensor prototype it was produced by placing thirty two sensor 2.5 mm interval. The selvage sensor system experimentally confirmed that actual selvage detection is possible.

• The Korean Journal of Mycology
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• v.19 no.4
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• pp.241-249
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• 1991

Eight species of genus Entoloma were collected from the areas of Mt. Naejang National Park, Mt. Jangan Provincial Park and Mt. Manduck and newly identified in Korea: Entoloma squamodiscum, E. nigroviolacem var. nigroviolacem, E. subrhombisporum, E. spadix, E. fumosialbum, E. peckianum, E. strictius var. strictius and E. albatum.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.12 no.3
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• pp.45-50
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• 1998

This paper presents experimental results on the application of very low frequency(VLF) voltage to replace conventional DC test as an after laying test for underground distribution cables. We carried out several tests to prove defects detecting ability of VLF test on the 5m length real cables having knife-cut or needle type defects which is made in our La.. Through this experiment we proved it is very difficult to initiate electrical tree from the defects inside of the cable insulation but once the electrical tree is initiated it grows very fast and VLF does not make new defects and expand the defect. Therefore VLF test equipment for quality inspection test of manufacture is more effective than field application for underground distribution cables.