• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.189-195
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• 2020

The whole world is anxious that aircraft could be used as a tool for terrorism after 9/11. The disappearance of Malaysia Airlines is again adding to fears about aircraft. Because these aircraft attacks cause many human casualties, the purpose of the study is to analyze the problems in the current air security system and to present alternatives. The methodology of the study used a literature research methodology to review the current status of aircraft terrorism and related regulations, such as current aviation-related laws and anti-terrorism laws, and prior studies. The purpose of the Chapter is to present an aviation security system that promotes the safety of air traffic through the prevention of aircraft terror by presenting the roles and improvement measures of aviation security personnel, foreign police officers, intelligence agencies, and legal blind spots and flaws.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.7
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• pp.775-782
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• 2017

The position of existing patrol ships has been decided according to subjective judgments, not purely by any reasonable or scientific criteria, because of a lack of access to marine accident positions. In this study, the optimal location of patrol ships is quantitatively determined based on historical marine accident data. The study area used included the coastal sea of Pohang in South Korea. In this study, a k-means clustering algorithm was used to derive the location of patrol ships, and then a Voronoi diagram was used to divide the region around each patrol ship. As a result, the average navigation distance for patrol ships was improved by 4.4 nautical miles, and the average arrival time was improved by 13.2 minutes per marine accident. Moreover, if the locations of patrol ships need to be changed flexibly, it will be possible to optimally arrange limited resources using the technique developed in this study to ensure a fast rescue.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.1
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• pp.146-151
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• 2021

Currently, the demand for vehicles from one family is increasing in many countries at home and abroad, reducing the number of people on the vehicle and increasing the number of vehicles on the road. The multi-passenger lane system, which is available to solve the problem of traffic congestion, is being implemented. The system allows police to monitor fast-moving vehicles with their own eyes to crack down on illegal vehicles, which is less accurate and accompanied by the risk of accidents. To address these problems, applying deep learning object recognition techniques using images from road sites will solve the aforementioned problems. Therefore, in this paper, we compare and analyze the performance of existing deep learning models, select a deep learning model that can identify real-time vehicle occupants through video, and propose a vehicle occupancy detection algorithm that complements the object-ident model's problems.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.67-77
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• 2022

An automatic freeway bus-only lane enforcement system was developed and assessed in a real-world environment. Observation of a bus-only lane on the Youngdong freeway, South Korea, revealed that approximately 99% of the vehicles violated the high-occupancy vehicle (HOV) lane regulation. However, the current enforcement by the police not only exhibits a low enforcement rate, but also induces unnecessary safety and delay concerns. Since vehicles with six passengers or higher are permitted to enter freeway bus-only lanes, identifying the number of passengers in a vehicle is a core technology required for a freeway bus-only lane enforcement system. To that end, infrared cameras and the You Only Look Once (YOLOv5) deep learning algorithm were utilized. For assessment of the performance of the developed system, two environments, including a controlled test-bed and a real-world freeway, were used. As a result, the performances under the test-bed and the real-world environments exhibited 7% and 8% errors, respectively, indicating satisfactory outcomes. The developed system would contribute to an efficient freeway bus-only lane operations as well as eliminate safety and delay concerns caused by the current manual enforcement procedures.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.253-255
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• 2021

경찰청 자료에 따르면 한국에서 사망 교통 사고의 75.5%는 화물차 사고이다. 한국에서 화물차 사고로 숨지는 사람은 매년 약 1000명이며, 매일 2~3명이 화물차 사고로 사망한다. 한국의 화물노동자들은 화물차 사고가 끊이지 않는 이유로 열악한 노동조건을 응답하고 있다. COVID 19는 비대면 물류 수요를 증가시키고 있다. COVID 19로 인하여 급격하게 증가한 물류 수요는 기존의 낙후된 물류 기술과 낙후된 물류 시스템으로 인하여 운송 과정의 비효율성을 나타내고 있다. 이러한 한국 운송 시스템의 비효율성은 영세 물류 개인 사업자들에 대한 과도한 업무 부담으로 이어지고 있으며, 한국 운송 시스템의 비효율성은 2020년 이후 급격하게 증가한 물류 산업 재해 사망자 수로 나타나고 있다. CIPs에 입주한 한국 중소 기업들은 별도의 스마트 출입 인증 시스템을 갖추지 못하고 있는 경우가 많으며, 이로 인하여 최종 목적지인 출입 단계에서 많은 운송 시간들이 낭비되고 있다. 스마트 출입 인증 시스템 아키텍쳐를 통하여 영세 물류 개인 택배 사업자는 법적 안정성 개선 효과를 얻을 수 있으며, CIPs 중소 기업들은 물류 운송 시간을 단축하는 효과를 얻을 수 있다. CIPs스마트 출입 시스템은 현재 활성화되어 있는 Mobile OTP를 활용하므로, 시스템 설계 비용을 크게 절감할 수 있으며, 개별 휴대폰 단말기에 발생하는 Data용량 부담을 크게 줄이고, 개별 휴대폰 단말기의 응답 속도를 개선할 수 있다. 또한 기존에 다양하게 활용되던 OTP 체계와 호환성이 있으며, OTP 시스템의 오랜 사용 기간을 통한 시스템 신뢰성도 높다. 사용자 고객들의 OTP 시스템 이해도도 다른 스마트 출입 시스템에 비하여 높다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.120-122
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• 2021

Currently, as demand for cars at home and abroad increases, the number of vehicles is decreasing and the number of vehicles is increasing. This is the main cause of the traffic jam. To solve this problem, it operates a high-ocompancy vehicle (HOV) lane, a multi-passenger vehicle, but many people ignore the conditions of use and use it illegally. Since the police visually judge and crack down on such illegal activities, the accuracy of the crackdown is low and inefficient. In this paper, we propose a system design that enables more efficient detection using imaging techniques using computer vision to solve such problems. By improving the existing vehicle detection method that was studied, the trigger was set in the image so that the detection object can be selected and the image analysis can be conducted intensively on the target. Using the YOLO model, a deep learning object recognition model, we propose a method to utilize the shift amount of the center point rather than judging by the bounding box in the image to obtain real-time object detection and accurate signals.

• International Journal of Highway Engineering
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• v.13 no.1
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• pp.119-127
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• 2011

The main purpose of this paper is to apply Zone 30 system which is being experimented in advanced country for the solution of controlling the residential street's speed to our country with the consideration of the real condition of our street and traffic and to run this system as an example to analyze the effect and at the same time, analyze the problem and get appropriate preparation for this system to be widespread. The area to run this model project is Goyang City Ilsan-Gu.($0.65km^2$) which is close with the commercial area reflecting the opinion of experts and an on-site verification by the National Police Agency T/F and is having a heavy pedestrian traffic and the risk of pedestrian accident. Firstly we defined residential street and residential street area to review the system and devided the residential street type to establish a plan of operation. Afterwards, we thoroughly examined the model project area and analyzed the problem and solution. We finally completed establishing a facilities by conference with a local autonomous entity with the improvement of facility's sketch at the analysis of the model project area. The result of effects analysis which we devided after and before of establishment is that vehicle speed be reduced 5~15km/h, and traffic accidents has decreased by 24 percent.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.9 no.6
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• pp.43-53
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• 2010

The increasing interest in the use of automated photographic equipment in Korea enables to detect speed violation and enforce traffic laws. Since 1996, Korean National Police Agency has been promoting a project for installation of Automated Speed Enforcement (ASE) system aiming at reduction of accidents. Recently, point to point speed cameras operate to measure a driver's average speed across length of road and/or the spot speed at individual camera sites along the road length. In this study, we were analyzed to driver's operating characteristics in point to point speed cameras. The point to point speed camera system has link-long influence on drivers and their speeds despite enforcement being visible only at the start and end of enforced road length. Then, mean and 85th percentile speeds were below speed limit along enforced road length by the two camers. Also, Female drivers were driving at low speed than male drivers along the road length.

• Proceedings of the KOR-BRONCHOESO Conference
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• 1972.03a
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• pp.5-6
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• 1972

Noise and air pollution, which accompany the development of industry and the increase of population, contribute to the deterioration of urban environment. The air pollution level of Seoul has gradually increased and the city residents are suffering from a high pollution of noise. If no measures were taken against pollution, the amount of emission of pollutant into air would be 36.7 thousand tons per year per square kilometer in 1975, three times more than that of 1970, and it would be the same level as that of United States in 1968. The main sources of air pollution in Seoul are the exhaust has from vehicles and the combustion of bunker-C oil for heating purpose. Thus, it is urgent that an exhaust gas cleaner should be instaled to every car and the fuel substituted by less sulfur-contained-oil to prevent the pollution. Transportation noise (vehicular noise and train noise) is the main component of urban noise problem. The average noise level in downtown area is about 75㏈ with maximum of 85㏈ and the vehicular homing was checked 100㏈ up and down. Therefore, the reduction of the number of bus-stop the strict regulation of homing in downtown area and a better maintenance of car should be an effective measures against noise pollution in urban areas. Within the distance of 200 metres from railroad, the train noise exceeds the limit specified by the pollution control law in Korea. Especially, the level of noise and steam-whistle of train as measured by the ISO evaluation can adversely affect the community activities of residents. To prevent environmental destruction, many developed countries have taken more positive action against worsening pollution and such an action is now urgently required in this country.

• Journal of forensic and investigative science
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• v.2 no.2
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• pp.50-66
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• 2007

An Emergency Medical Technician (EMT) is a well-trained emergency responder to provide emergency medical services to the critically ill and injured patient. In various situations, EMT may destroy potential physical evidences associated with the crime scene or determination of real cause of death. This study was aimed to evaluate the educational need of forensic medicine in Korean EMT. Questionnaires were administered to 592 EMTs during March 2007. The response rate was 60.3%(357 EMTs). In questionnaires there were 13 questions regarding the general characteristics, 16 questions about roles of EMTs related with forensic circumstances, 9 questions about the education related to forensic medicine. Questionnaires rated on a 4-point Likert scale or 5-point Likert scale. Most of 119 rescue EMTs had experienced with situations related to crime or unexpected sudden death. EMTs had arrived to the scenes earlier than police and complained of some difficulties related with deficit of forensic knowledge. EMTs wanted to receive continuous educations about forensic medicine. In order to reduce dissatisfaction with EMTs roles and to improve crime scene preservations, Emergency Medical Services policies should provide regular educational curriculum by forensic pathologists and promote legal responsibilities for 119 rescue EMTs.