• Title/Summary/Keyword: Car class

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Development of Experimental System for Automotive Electrical Circuit in Technical High School (실업계 고등학교용 자동차 전기회로 실습 시스템의 개발)

  • Lee, Yong-Ju;Seo, Young-Dal
    • Transactions of the Korean Society of Automotive Engineers
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    • v.15 no.4
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    • pp.154-160
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    • 2007
  • The experimental system, developed in this research, is a teaching material that trains and practices automobile electric circuit in technical high school. This system consists of a textbook, 15 kinds of instruments and 62 kinds of 'Flash' animations. Textbook includes automobile electric circuits and experimental process. Instruments have 23 kinds of drills. Its is composed of electrical relays, motors, switches, light bulbs, electrical lines and power unit so on. 'Flash' animation displays an electrical current flow on circuits actually. Both Dacum method and ISD skill have been conducted to analysis job and design syllabus. The experimental system have been implemented on technical high school class to evaluate its objectivity and effect. It is expected that this system can contribute to studying of car service.

Durability Improvement due to the Change of Lower Arm by the Class of Automotive Body (차체의 종류별 로어암 형상의 변화에 따른 내구성 향상에 관한 연구)

  • Han, Moonsik;Cho, Jaeung
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.16 no.6
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    • pp.29-34
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    • 2017
  • This study analyzed automobile lower arm assembly structure and fatigue to identify configuration changes to enhance structural safety. Parts connected to the car body were fixed and 500 N load was applied at the lower arm head. Maximum equivalent stress and maximum total deformation were minimized for model 1 ( MPa and 0.10315 mm, respectively). Fatigue analysis using extreme SAE bracket history fatigue loads showed model 1 also improved fatigue life ($3.3693{\times}10^5cycles$). This study provides important inputs to improve lower arm durability by modifying the arm configuration.

Research on Improved Formability of High-Strength Steel Mounting Brackets and Springback Prediction (고강도강 마운팅브라켓의 성형성 향상 및 스프링백 예측에 관한 연구)

  • Lim, Kyu-seong;Choi, Seong-Dae
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.4
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    • pp.14-22
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    • 2022
  • To reduce the weight of the car and ensure the safety of the driver while driving, the existing 440 MPa-class mounting bracket was treated at 590MPa to improve collision safety and secure the weight of the vehicle body. The following conclusions were drawn from the tensile test, forming analysis, and springback prediction. In the formability and springback analyses using FLD, it could be confirmed that bending was an essential process because the formability and flatness were much better when bending was added than when bending was not applied. Based on the research results, it was deduced that the mold design was necessary so that the molding was carried out at a strain rate of 20% or less for stable molding.

Unsuperised Image Segmentation Algorithm Using Markov Random Fields (마르코프 랜덤필드를 이용한 무관리형 화상분할 알고리즘)

  • Park, Jae-Hyeon
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.8
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    • pp.2555-2564
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    • 2000
  • In this paper, a new unsupervised image segmentation algorithm is proposed. To model the contextual information presented in images, the characteristics of the Markov random fields (MRF) are utilized. Textured images are modeled as realizations of the stationary Gaussian MRF on a two-dimensional square lattice using the conditional autoregressive (CAR) equations with a second-order noncausal neighborhood. To detect boundaries, hypothesis tests over two masked areas are performed. Under the hypothesis, masked areas are assumed to belong to the same class of textures and CAR equation parameters are estimated in a minimum-mean-square-error (MMSE) sense. If the hypothesis is rejected, a measure of dissimilarity between two areas is accumulated on the rejected area. This approach produces potential edge maps. Using these maps, boundary detection can be performed, which resulting no micro edges. The performance of the proposed algorithm is evaluated by some experiments using real images as weB as synthetic ones. The experiments demonstrate that the proposed algorithm can produce satisfactorY segmentation without any a priori information.

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이산·연속선택모형을 이용한 친환경자동차에 대한 지원정책이 에너지 소비와 CO2 배출에 미치는 영향 분석

  • Gwon, O-Sang;Kim, Yong-Geon;Jeong, Jae-Ho
    • Environmental and Resource Economics Review
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    • v.21 no.2
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    • pp.237-269
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    • 2012
  • This study applies a discrete-continuous choice model to a national survey data set of automobile uses to investigate the potential impacts of a bonus-malus system for new cars in Korea. Not only the impacts on the discrete choice of automobile type and class but also those on the continuous decision making of car operation are analyzed. The characteristics of automobiles and individuals that determine car choice and operation are identified. The simulation based on the estimation result shows that an appropriately designed bonus-malus system can induce a reduction in energy consumption and $CO_2$ emission substantially without additional government expenditure.

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Structural Design of Aluminum Sandwich High Speed Car-ferry (알루미늄샌드위치 초고속 카훼리의 구조설계)

  • Paik, Jeom K.;Lee, Yong W.
    • Journal of the Society of Naval Architects of Korea
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    • v.34 no.3
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    • pp.38-52
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    • 1997
  • Aluminum-faced honeycomb-cored sandwich panels as hull plating can provide structural weight savings when compared with the conventional aluminum single panels. The aim of the present paper is to confirm the feasibility of the sandwich panels for the hull material of fast ferries through designing an 80m class proto-type fast passenger/car ferry. For the case study, the structural design for the same principal particulars using the aluminum single panels is also performed, and the design results for the two types will be compared to confirm the weight savings between the two construction methods. The economics of a ship, being comprised of the shipbuilding cost and ship operaing cost, will require a cost analysis including a quantitative comparison between the two construction methods and the results of the cost analysis will be presented. Finally, the reasons why aluminum sandwich panels have not presently been used as the hull material for large size fast vessels will be discussed.

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Research on Engineering & Technology Education for Elementary School Student by using F1 in Schools Program (F1 in Schools 프로그램을 이용한 초등학생 대상 공학 기술 교육에 관한 연구)

  • Park, So-Ra;Nam, Hyun-Wook
    • Journal of Engineering Education Research
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    • v.11 no.1
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    • pp.85-100
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    • 2008
  • The purpose of this study is development of 'F1 in Schools Program' for elementary school student and validation of the program. Fifteen students were originally chosen from the W elementary school in Cheongju, Chungcheogbuk-Do. The children were tested on their understanding of science and 'F1 in Schools Program'. After developing the 'F1 in Schools Program', it was used in the classroom to evaluate applicability and to examine the responses from students, parents and schools. The program consists of 60 classes and the time of each class is 40 minutes. This study was conducted for 10 days from January 22nd, 2007 to February 2nd, 2007. CAD(Computer Aided Design), CFD(Computation Fluid Dynamics), CAM(Computer Aided manufacturing) and CNC Machine were used in this study and proved to be good materials for students in that they increased the students' participation and imagination. However, the children's cognitive and creative abilities as well as manuals written in English hampered the process. Most students, parents, schools seemed to be satisfied with use of the program. However, the schools showed that there was not enough understanding of the program as a whole. The processes with which students build and inspect using the $CO_2$Model Car not only improves the processing of the model but also enhanced the students scientific understanding related to the car speed.

Hard Coatings on Polycarbonate Plate by Sol-Gel Reaction of (3-glycidoxypropyl)trimethoxysilane (폴리카보네이트 판 위에 (3-glycidoxypropyl)trimethoxysilane의 졸-겔 반응을 이용한 하드 코팅)

  • Kim, Ju Youn;Shin, Young Jae;Shin, Youn Rok;Ji, Young Jon;Yoon, Yeo Seong;Shin, Jae Sup
    • Applied Chemistry for Engineering
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    • v.17 no.2
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    • pp.170-176
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    • 2006
  • The hard coatings on the polycarbonate plate were performed with the object of substitution the glass in the car to the polycarbonate plate. In this research, (3-glycidoxypropyl)trimethoxysilane (GPTMS), (3-aminopropyl)triethoxysilane (APS), and diethylenetriamine (DETA) were used to prepare the coatings by a sol-gel process. The optimum conditions and formulation to achiere the excellent physical properties of the coating were determined. In the case of using GPTMS and DETA, the smooth coating which had the 2 H class in pencil hardness was formed. In the case of using GPTMS and APS, the coating which had the 2 H class in pencil hardness was also formed. And the coatings with GPTMS and DETA showed an excellent abrasion resistant.

Masstige Phenomenon Appeared on Contemporary Textiles & Fashion Brand (현대 섬유패션브랜드에 나타난 매스티지 현상)

  • Pak, Ok-Mi;Rhee, Soo-Cheol
    • Journal of the Korean Society of Fashion and Beauty
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    • v.4 no.1 s.7
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    • pp.4-11
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    • 2006
  • Masstige goods aimed consumers who want the fame and the emotional contents with reasonable price are presented overall and around the life style, from all the fashion items like bag and apparel to car, electric household, food, sports goods, furniture, toys, pets and performance of art, etc. Masstige casual, essentially different from the passed casuals which emphasized only price strategy, appeals to teenagers and young of twenties with a definite brand concept. Therefore masstige casual might be separated from business casual of a target aged thirties. Established celebrity brands have launched masstige brands matching the popularization of prestige goods. Armani Exchange from Armani, Marc by Marc Jacobs from Louis Vuitton are representative ones. DKNY from Donna Karen, MiuMiu from Prada, Paul smith Pink from Paul Smith can be added. These are relatively inexpensive, however the quality, design and shop's atmosphere are more exclusive than general brands. Consumers are over middle class and have a pride and fidelity to those brands. Leading Masstige trend, new luxury brands put the importance to the quality and aims middle class. To succeed in this field, companies should know exactly what consumers want, considering not only functional aspect but also emotional pleasure. Even though masstige has a weakness in pricing, it has to keep brand's proper benefit. Its price range could be wide to be in great demand but has to have elasticity and not to be expanded too much. Masstige industry should do its best not to damage original brand's identity. Forming family brand, like Armani made Georgic Armani, Emporio Armani and Armani exchange, system of parent brand and sub brands would be recommendable. From the launching time, masstige needs the effects to create a sensation and bring it into vogue and offer emotional value to the consumers.

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Vehicle Detection in Dense Area Using UAV Aerial Images (무인 항공기를 이용한 밀집영역 자동차 탐지)

  • Seo, Chang-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.3
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    • pp.693-698
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    • 2018
  • This paper proposes a vehicle detection method for parking areas using unmanned aerial vehicles (UAVs) and using YOLOv2, which is a recent, known, fast, object-detection real-time algorithm. The YOLOv2 convolutional network algorithm can calculate the probability of each class in an entire image with a one-pass evaluation, and can also predict the location of bounding boxes. It has the advantage of very fast, easy, and optimized-at-detection performance, because the object detection process has a single network. The sliding windows methods and region-based convolutional neural network series detection algorithms use a lot of region proposals and take too much calculation time for each class. So these algorithms have a disadvantage in real-time applications. This research uses the YOLOv2 algorithm to overcome the disadvantage that previous algorithms have in real-time processing problems. Using Darknet, OpenCV, and the Compute Unified Device Architecture as open sources for object detection. a deep learning server is used for the learning and detecting process with each car. In the experiment results, the algorithm could detect cars in a dense area using UAVs, and reduced overhead for object detection. It could be applied in real time.