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Color Vision Based Close Leading Vehicle Tracking in Stop-and-Go Traffic Condition (저속주행환경에서 컬러비전 기반의 근거리 전방차량추적)

  • Rho, Kwang-Hyun;Han, Min-Hong
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.9
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    • pp.3037-3047
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    • 2000
  • This paper describes a method of tracking a close leading vehicle by color image processing using the pairs of tail and brake lights. which emit red light and are housed on the rear of the vehicle in stop-and-go traffic condition. In the color image converted as an HSV color model. candidate regions of rear lights are identified using the color features of a pair of lights. Then. the pair of tailor brake lights are detected by means of the geometrical features and location features for the pattern of the tail and brake lights. The location of the leading vehicle can be estimated by the location of the detected lights and the vehicle can be tracked continuously. It is also possible to detect the braking status of the leading vehicle by measuring the change in HSV color components of the pair of lights detected. In the experiment. this method tracked a leading vehicle successfully from urban road images and was more useful at night than in the daylight. The KAV-Ill (Korea Autonomous Vehicle- Ill) equipped with a color vision system implementing this algorithm was able to follow a leading vehicle autonomously at speeds of up to 15km!h on a paved road at night. This method might be useful for developing an LSA (Low Speed Automation) system that can relieve driver's stress in the stop-and-go traffic conditions encountered on urban roads.

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Identifying Security Requirement using Reusable State Transition Diagram at Security Threat Location (보안 위협위치에서 재사용 가능한 상태전이도를 이용한 보안요구사항 식별)

  • Seo Seong-Chae;You Jin-Ho;Kim Young-Dae;Kim Byung-Ki
    • The KIPS Transactions:PartD
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    • v.13D no.1 s.104
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    • pp.67-74
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    • 2006
  • The security requirements identification in the software development has received some attention recently. However, previous methods do not provide clear method and process of security requirements identification. We propose a process that software developers can build application specific security requirements from state transition diagrams at the security threat location. The proposed process consists of building model and identifying application specific security requirements. The state transition diagram is constructed through subprocesses i) the identification of security threat locations using security failure data based on the point that attackers exploit software vulnerabilities and attack system assets, ii) the construction of a state transition diagram which is usable to protect, mitigate, and remove vulnerabilities of security threat locations. The identification Process of application specific security requirements consist of i) the analysis of the functional requirements of the software, which are decomposed into a DFD(Data Flow Diagram; the identification of the security threat location; and the appliance of the corresponding state transition diagram into the security threat locations, ii) the construction of the application specific state transition diagram, iii) the construction of security requirements based on the rule of the identification of security requirements. The proposed method is helpful to identify the security requirements easily at an early phase of software development.

A Study of Traffic Signal Progression on a CBD for Reducing Traffic Signal Cycle as Expansion of Permissive Left-Turn (비보호좌회전 확대에 따른 주기감소가 도심연동체계에 미치는 영향 연구)

  • Jung, Jin-Hyoung;Kwon, Young-Suk;Choi, Ki-Joon
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.6
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    • pp.559-565
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    • 2016
  • For the purpose of the research, it is analyze the influence traffic Signal Progression on a CBD by expansion of Permissive Left-Turn on the advanced traffic management system program compared with traffic response control For this, divided a average distance between intersections, a traffic network on five district in four city. As the result, Volume of the traffic management system on a advanced traffic management system program compared with traffic response control is effective in traffic signal cycle 160sec 286car per lane, in 140sec 308car, 120sec 264car. As well, for a traffic network as the length of a traffic network 2.0~3.0km, under 2.0km, all of traffic signal cycle(160sec, 140sec, 120sec) a passing band and stop is more effective. But the traffic management system on traffic response control compared with the traffic management system on a advanced traffic management system program is effective in the length of a traffic network over 5.0km. For the efficiency of traffic signal system manage, it should be runned the traffic management system on traffic response control in addition to the traffic management system on a advanced traffic management system program on CBD. As the result of simulation the business in chungju-si, the travel speed of the traffic management system on a advanced traffic management system program is 41.2km/h and the travel speed of traffic response control is 37.5km/h. Therefore, it should be runned per length of a traffic network the traffic management system on traffic response control in addition to the traffic management system on a advanced traffic management system program on CBD.

Adaptability Questions of O-D Table Estimation Models (기종점 통행표 산출모형의 적용성 평가)

  • 오상진;박병호
    • Journal of Korean Society of Transportation
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    • v.17 no.5
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    • pp.99-110
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    • 1999
  • This study deals with the adaptability questions of O-D table estimation models. Its objectives are two-fold; (1) to estimate the characteristics of various O-D table estimation models(i.e. linear regression models. entropy models and statistic models) and (2) to find the model which estimates the O-D table with the best accuracy under the various data conditions. In Pursuing the above, this study gives the particular attentions to the test of the models, using the Sioux Falls network and equilibrium assignment method of MINUTP. The major findings are the followings. Firstly. it finds that the statistic models have the most goodness of fat among all models, if the required data are all Prepared. But it Presents that statistic models are the most sensitive against the underspecification and inconsistency problems of link data. Secondly, It shows that the linear regression models have the worst goodness of fat among all models. But the linear regression models are the most insensitive to the underspecification and inconsistency problems. Thirdly, THE/1 model of entropy model is sensitive against the underspecification and incon-sistency problems, but THE/2 model is insensitive. Finally, other informations like total volume, zonal Production and attraction volumes in 0-D table, help models to gain the better goodness of fit. Especially, in the statistic models. both the zonal production and attraction volume data are helpful to estimate the link volumes. It can be expected that the results dive some implications not only to the selection of optimal model under the various given data, but also to the development or modification of model.

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Assessment and Estimation of Particulate Matter Formation Potential and Respiratory Effects from Air Emission Matters in Industrial Sectors and Cities/Regions (국내 산업 및 시도별 대기오염물질 배출량자료를 이용한 미세먼지 형성 가능성 및 인체 호흡기 영향 평가추정)

  • Kim, Junbeum
    • Journal of Korean Society of Environmental Engineers
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    • v.39 no.4
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    • pp.220-228
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    • 2017
  • Since the fine particulate matters occurred from mainly combustion in industry and road transport effect to human respiratory health, the interest and importance are getting increased. In 2013, the World Health Organization (WHO) concluded that outdoor air pollution is carcinogenic to humans, with the particulate matter component ($PM_{10}$ and $PM_{2.5}$) of air pollution most closely associated with increased cancer incidence, especially cancer of the lung. Therefore, many researches have been studied in the quantification and data development of fine particulate matters. Currently, the Ministry of Environment and cities/regions are developing the fine particulate matter data and air emission information. Particularly just $PM_{10}$ and $PM_{2.5}$ data is used in the fine particulate matters warning and alert. The data of NOx, SOx, $NH_3$, which have the particulate matter formation potential are not well considered. Also, the researches related with particulate matter formation potential and respiratory effects by industrial sectors and cities/regions are not conducted well. Therefore, the purpose of this study is to evaluate and calculate particulate matter formation potential and respiratory effects in 11 industrial sectors and cities using NOx, SOx, $PM_{10}$, $NH_3$ data (developed by Ministry of Environment and National Institute of Environmental Research) in 2001 and 2013. The results of this study will be provided the particulate matter formation potential and respiratory effects and will be used for future the fine particulate matter researches.

Vehicle Recognition with Recognition of Vehicle Identification Mark and License Plate (차량 식별마크와 번호판 인식을 통한 차량인식)

  • Lee Eung-Joo;Kim Sung-Jin;Kwon Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.8 no.11
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    • pp.1449-1461
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    • 2005
  • In this paper, we propose a vehicle recognition system based on the classification of vehicle identification mark and recognition of vehicle license plate. In the proposed algorithm, From the input vehicle image, we first simulate preprocessing procedures such as noise reduction, thinning etc., and detect vehicle identification mark and license plate region using the frequency distribution of intensity variation. And then, we classify extracted vehicle candidate region into identification mark, character and number of vehicle by using structural feature informations of vehicle. Lastly, we recognize vehicle informations with recognition of identification mark, character and number of vehicle using hybrid and vertical/horizontal pattern vector method. In the proposed algorithm, we used three properties of vehicle informations such as Independency property, discriminance property and frequency distribution of intensity variation property. In the vehicle images, identification mark is generally independent of the types of vehicle and vehicle identification mark. And also, the license plate region between character and background as well as horizontal/vertical intensity variations are more noticeable than other regions. To show the efficiency of the propofed algorithm, we tested it on 350 vehicle images and found that the propofed method shows good Performance regardless of irregular environment conditions as well as noise, size, and location of vehicles.

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A Study on the Construction of Logistics Infrastructure Database using GIS (GIS 기반 도시물류시설 DB구축 및 활용에 관한 연구)

  • Baek, Tae-Kyung;Kim, Hung-Kwan;Shin, Yong-Eun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.1
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    • pp.92-101
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    • 2007
  • Urban freight system includes not just intra-urban freight movement but also inter-urban movement as well. Hence, to make Busan a hub of North-east asia freight movement it is necessary to develop a comprehensive plan for infrastructure expansion as well as improvement of freight system based on the present facility situation. This study identifies the status of freight facilities in Busan by establishing the freight related infrastructure Database(DB) utilizing Geographic Information System(GIS), and to enable planners and decision-makers to utilize the DB to develop a future plan. The DB includes port facilities, major and minor arterial roads, railroad lines and facilities, depots, center city business areas, and urban infrastructures which are related to the freight movements. The analyses show that major transportation facilities in Busan consist of roads, railroads, coastal transportation, and international transportation, and it was found that intermodal facilities are inadequate for freight system in Busan. The results of this study will be useful for freight experts and planners to develop a comprehensive freight system plan.

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A Study on the SCM Integration & Green Growth Strategy of Logistic Company in Korea (물류기업의 SCM통합과 녹색성장을 위한 대응방안에 대한 연구)

  • Jin, Yun-Jun;Lee, Yu-Bin;Bae, Ki-Hyung
    • International Commerce and Information Review
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    • v.15 no.2
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    • pp.3-23
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    • 2013
  • In 1997, 180 countries signed the Kyoto Protocol in Kyoto, Japan. The Kyoto Protocol came into force in February 2005. The agreement calls for industrialized nations to cut greenhouse gas emissions by 5 percent from 1990 levels by 2008 to 2012. One of those polices is a modal shift that change from road freight to sea, inland waterway and railroad transportation that is eco-friendly. The increase of road freight brings road congestion, accidents, logistic costs, air pollution and greenhouse gases. Railroads are superior than the other modes of transportation in mass transportability, high speed, timeliness, safety and environmental-friendliness, but the railway industry has been pushed behind in competition. Korean railroads were used by passengers and freight transport popularly until the middle of 20th century, however, by the sudden change of logistics environments, a shaving time efficiency being most important, railroad logistic lost its competitive power against the transportation by truck. From the research which sees consequently investigated a various policy, a system and a law about Chinese logistics industry and present condition of the Chinese goods enterprise and instance analysis of the large Chinese corporation that branch out to undeveloped markets led and a Chinese logistics industry and problem point escape hereafter the heightening of competitiveness plan which is rational under prsenting boil.

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A Study on the Revision of Transport Documents under ISBP 745 (ISBP 745에서의 운송서류 개정 사항 연구)

  • Park, Sae-Woon
    • International Commerce and Information Review
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    • v.15 no.2
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    • pp.261-283
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    • 2013
  • ISBP745 has new provisions about sea waybill, road, rail or inland waterway transport documents which ISBP681 did not have provisions about. The main revisions of ISBP745 which were not existent or different from ICC Opinion are as follows: First, where B/L is required when multimodal transport is used as a modes of transport, the revisions stipulates that it is subject to UCP600 article19. this differs from previous ICC Opinion. Second, when a credit requires a transport document to indicate the name, address and contact details of a delivery agent, for the place of final destination or port of discharge, the address need not be one that is located at the place of destination or port of discharge or within the same country as that of the place of destination or port of discharge. Third, in case there exist a number of shippers and a consignee, multiple transport documents are issued. This rule has a clear stipulation on this case. Transport industry regards the indication of "LCL/FCL" or "CFS/CY" common in this case as that requiring multiple transport documents. However, ISBP745 does not regard it the case as that requiring multiple transport documents. This may cause some confusion in examination of documents. Forth, when partial shipment is allowed, and more than one set of original transport documents are presented as part of a single presentation made under one covering schedule and incorporate different dates of shipment, the earliest of these dates is to be used of the calculation of an presentation period.

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ADPSS Channel Interpolation and Prediction Scheme in V2I Communication System (V2I 통신 시스템에서 ADPSS 채널 보간과 예측 기법)

  • Chu, Myeonghun;Moon, Sangmi;Kwon, Soonho;Lee, Jihye;Bae, Sara;Kim, Hanjong;Kim, Cheolsung;Kim, Daejin;Hwang, Intae
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.8
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    • pp.34-41
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    • 2017
  • Vehicle to Infrastructure(V2I) communication means the technology between the vehicle and the roadside unit to provide the Intelligent Transportation Systems(ITS) and Telematic services. The vehicle collects information about the probe data through the evolved Node B(eNodeB) and after that eNodeB provides road conditions or traffic information to the vehicle. To provide these V2I communication services, we need a link adaptation technology that enables reliable and higher transmission rate. The receiver transmits the estimated Channel State Information(CSI) to transmitter, which uses this information to enable the link adaptation. However, due to the rapid channel variation caused by vehicle speed and the processing delay between the layers, the estimated CSI quickly becomes outdated. For this reason, channel interpolation and prediction scheme are needed to achieve link adaptation in V2I communication system. We propose the Advanced Discrete Prolate Spheroidal Sequence(ADPSS) channel interpolation and prediction scheme. The proposed scheme creates an orthonomal basis, and uses a correlation matrix to interpolate and predict channel. Also, smoothing is applied to frequency domain for noise removal. Simulation results show that the proposed scheme outperforms conventional schemes with the high speed and low speed vehicle in the freeway and urban environment.