• Title/Summary/Keyword: Car Classification

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Application of CNN for steering control of autonomous vehicle (자율주행차 조향제어를 위한 CNN의 적용)

  • Park, Sung-chan;Hwang, Kwang-bok;Park, Hee-mun;Choi, Young-kiu;Park, Jin-hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.468-469
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    • 2018
  • We design CNN(convolutional neural network) which is applicable to steering control system of autonomous vehicle. CNN has been widely used in many fields, especially in image classifications. But CNN has not been applied much to the regression problem such as function approximation. This is because the input of CNN has a multidimensional data structure such as image data, which makes it is not applicable to general control systems. Recently, autonomous vehicles have been actively studied, and many techniques are required to implement autonomous vehicles. For this purpose, many researches have been studied to detect the lane by using the image through the black box mounted on the vehicle, and to get the vanishing point according to the detected lane for control the autonomous vehicle. However, in detecting the vanishing point, it is difficult to detect the vanishing point with stability due to various factors such as the external environment of the image, disappearance of the instant lane and detection of the opposite lane. In this study, we apply CNN for steering control of an autonomous vehicle using a black box image of a car.

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A Study on the Improvement of Passenger Ship Rudder Stock and Tiller Locking Nut Loosening by Analyzing an Investigation Report and the NAS 3350 Test (조타장치 사고 재결서 분석과 NAS 3350 시험을 통한 카페리 여객선 타두재와 틸러 체결 너트 풀림 개선에 관한 연구)

  • Kang, Dae-Kon;Kim, Shin Hyo;Park, Jai-Hak
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.2
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    • pp.253-259
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    • 2018
  • In February 2014, the rudder upper stock and the nut of a passenger ship were released and an accident occurred. That accident occurred because the steering gear of passenger ships that was intended to move many passengers. The accidents due to steering gear was zero according to 2010-2016 statistics. There is no rules prevent loosening of the upper rudder nut in "Ship Safety Act" and "Structural standard of steel ship". Since the accident, the Korea register has been revised to the joining method in Part 5 Chapter 7 of the rules in the classification of steel ships. In the field survey of 12 passenger ships operating on Mokpo and surrounding islands, the welding method was applied in the cases as the fastening method. The fastening type was equipped with two C-type structures. It was structured to be difficult to access. The NAS 3350 test was conducted to investigate ways to prevent homologous accident considering the characteristic of passenger ships that need to lift or unload rides once a year.

Analysis of the Design Style of the Fastback in Automobile Exterior Design (자동차 외관 디자인의 패스트백 디자인 스타일 분석)

  • Long, Jiang;Kim, Myong-Soo
    • Journal of the Korea Convergence Society
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    • v.11 no.9
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    • pp.109-115
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    • 2020
  • With the continuous development of automobile design industry, fastback design style has become the main popular trend of automobile appearance design, and it has an important impact on the future automobile appearance design. This study summarizes the basic rules and characteristics of the design style base don combing, analyzing and verifying the data of the fastback design style. It provides the necessary basic research for the better application of the fastback design style in the future automobile design. Firstly, through the literature research method to sort out and analyze the de finition, origin and history of fastback design style. Secondly, through the comparative study, the author compares and analyzes the characteristics, advantages and disadvantages of the fastback design style and the step back design style. Thirdly, through case analysis, it studies the classification and characteristics of fastback design style. Finally, this paper summarizes the influence of the fastback design style on the future automobile appearance design, and the specific design methods. Forecasts the development trend of fastback design style in the field of automobile exterior design in the future. Through this research, we sorted out the related historical development of fastback design and the characteristics and advantages of fastback design style (from the perspective of functionality, economy and aesthetics).The fastback design style has formed a more systematic research theory, which provides basic research materials for future fastback design research. In the next stage, this study will be further subdivided, focusing on the different design features of different automobile manufacturers which subdivide the fastback design style into different design features according to their own needs.

Incidences of Lower Extremity Injuries in Korea (국내 하지손상의 발생현황에 대한 분석)

  • Kim, Chang Sun;Choi, Hyuk Joong;Kim, Jai Yong;Shin, Sang Do;Koh, Sang Baek;Lee, Kug Jong;Im, Tai Ho
    • Journal of Trauma and Injury
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    • v.21 no.1
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    • pp.36-45
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    • 2008
  • Purpose: We conducted this retrospective epidemiological study to assess the incidence and severity of lower extremity injuries in Korea Methods: For this study, we retrospectively reviewed nationwide lower-extremity injury data compiled from 2001 to 2003 based on the National Injury Database, what included National Health Insurance Corporation (NHIC), Car Insurance, and Industry Insurance data. Data were standardized in terms of demographic characteristics, region, and socioeconomic status by using NHIC data. To assess the degree of the injuries, we used the Modified Abbreviated Injury Scale (MoAIS), what has been changed from the International Classification of Disease-10 (ICD-10) code. By using the Excess Mortality Ratio-adjusted Injury Severity Score (EMR-ISS), we classified the degree of severity into four categories: mild, moderate, severe and critical. Results: From 2001 to 2003, lower extremity injuries increased slightly, with a yearly average of 2,437,335. Insurance data should that lower-extremity injuries were the most common, followed by upper-extremity injuries. Significant difference were seen in the numbers of lower extremity injuries based on gender and age. As for provinces, Seoul and Gyeongi provinces had the highest numbers of cases. Junlabukdo had the highest rate of 55,282 cases per 1 million people for standardized gender and population. The annual incidence of the insured patients with lower extrimity injuries was higher than the employer's medical insurance contributions to the medical insurance program. Daily cases occur most often in May and June, with the lowest occurrences being in January and February. Conclusion: The result of this study shows that lower extremity injuries comprised common cause of all injuries. In addition, differences associated with gender, location and socioeconomic status were observed. Further studies are needed to find reasons and then this knowledge will allow strategies to prevent the lower extremity injuries.

Cultural Landscape Analysis of Market Space in Chinatown - A Case Study of the 'Chung-Ang Market of Dairimdong' - (중국 이주민 거주지역 내 시장공간의 문화경관해석 - 서울시 대림동 중앙시장을 대상으로 -)

  • Chun, Hyun-Jin;Lee, June;Jiang, Long;Kim, Sung-Kyun
    • Journal of the Korean Institute of Landscape Architecture
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    • v.40 no.5
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    • pp.73-87
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    • 2012
  • Nowadays, the Korean society is full of multiculturalism as there are many foreign ethnic enclaves. Many Chinese quarters are built in various parts of Korea along with the increasing population of Chinese immigrant. Especially, the Chinese quarter has shown the sign of time and the cultural characteristic of the local residents. This research is to study the market space of Chinese ethnic enclaves in Dairimdong. This research method is the field study to use a participant observation. Below are the research results: Chinese merchants put a private object such as "tanzi" on a sidewalk and install large awning covered full of sidewalk. Sidewalk transform from an outdoor space into an internal space because of Chinese merchants. Passers-by move to use vehicle roads and transform not only the car's space but also the passers-by space. Urban planners originally classify space into three categories, which are building - sidewalk - vehicles road. However, after Chinese came to the market, Chinese classified space into new three categories which is building - space for both sidewalk and "tanzi" - space for both sidewalk and vehicles road. New classification of space is quite different from the previous. In addition, Chinese thinks that the Dairimdong's Market is a very comfortable place. Because Dairimdong Market have many Chinese physical facilities. Next, Chinese thinks that the Dairimdong Market is a very friendly place to buy Chinese products easily. This market has become a place of consumption for the Chinese. Eventually, Dairimdong's Market has changed because of Chinese immigrants. It is possible to make satisfactory planning and design proposal to build Chinese quarters in the future through the explanation of space and status by way of culture. There are many careless mistakes in previous subjective planning and design proposal of the designers. Thus, it should consider the problems created by their way of use in later planning and design.

A Case Study on Forecasting Inbound Calls of Motor Insurance Company Using Interactive Data Mining Technique (대화식 데이터 마이닝 기법을 활용한 자동차 보험사의 인입 콜량 예측 사례)

  • Baek, Woong;Kim, Nam-Gyu
    • Journal of Intelligence and Information Systems
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    • v.16 no.3
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    • pp.99-120
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    • 2010
  • Due to the wide spread of customers' frequent access of non face-to-face services, there have been many attempts to improve customer satisfaction using huge amounts of data accumulated throughnon face-to-face channels. Usually, a call center is regarded to be one of the most representative non-faced channels. Therefore, it is important that a call center has enough agents to offer high level customer satisfaction. However, managing too many agents would increase the operational costs of a call center by increasing labor costs. Therefore, predicting and calculating the appropriate size of human resources of a call center is one of the most critical success factors of call center management. For this reason, most call centers are currently establishing a department of WFM(Work Force Management) to estimate the appropriate number of agents and to direct much effort to predict the volume of inbound calls. In real world applications, inbound call prediction is usually performed based on the intuition and experience of a domain expert. In other words, a domain expert usually predicts the volume of calls by calculating the average call of some periods and adjusting the average according tohis/her subjective estimation. However, this kind of approach has radical limitations in that the result of prediction might be strongly affected by the expert's personal experience and competence. It is often the case that a domain expert may predict inbound calls quite differently from anotherif the two experts have mutually different opinions on selecting influential variables and priorities among the variables. Moreover, it is almost impossible to logically clarify the process of expert's subjective prediction. Currently, to overcome the limitations of subjective call prediction, most call centers are adopting a WFMS(Workforce Management System) package in which expert's best practices are systemized. With WFMS, a user can predict the volume of calls by calculating the average call of each day of the week, excluding some eventful days. However, WFMS costs too much capital during the early stage of system establishment. Moreover, it is hard to reflect new information ontothe system when some factors affecting the amount of calls have been changed. In this paper, we attempt to devise a new model for predicting inbound calls that is not only based on theoretical background but also easily applicable to real world applications. Our model was mainly developed by the interactive decision tree technique, one of the most popular techniques in data mining. Therefore, we expect that our model can predict inbound calls automatically based on historical data, and it can utilize expert's domain knowledge during the process of tree construction. To analyze the accuracy of our model, we performed intensive experiments on a real case of one of the largest car insurance companies in Korea. In the case study, the prediction accuracy of the devised two models and traditional WFMS are analyzed with respect to the various error rates allowable. The experiments reveal that our data mining-based two models outperform WFMS in terms of predicting the amount of accident calls and fault calls in most experimental situations examined.