• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.2109-2113
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• 2008

As the standard of living is higher, the passengers using public transportations desire better qualities of environment as well as more comfortable indoor environment. In case of train, the passengers' comfort in passenger cabin is one of the most important elements to be competitive with other transport systems. The indoor air quality of the cabin should be managed properly, because many passengers travel for a long time in the small space of $144\;m^3$. For proper management of the air quality, the heating, ventilation and air conditioning (HVAC) system is required for the ventilation of the compartment. To maintain comfortable environment in the compartment, the automatic ventilation system is needed to exchange the indoor air with fresh air or clean indoor air. In this study, we investigated the indoor air quality (PM-10, $CO_2$, and VOCs) in the compartment of train. In addition, type and pattern of PM-10 has been analyzed through the clustering analysis. Based on the analysis, we could found that the fine particulate matters in the compartment can be a serious hazard to human. To control the concentration of PM-10 and $CO_2$ air cleaners were developed. Through this study, it is expected that people who take a train will be in a more comfortable environment.

• 전기학회논문지
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• 제65권12호
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• pp.2240-2250
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• 2016

MIFARE Classic is the most popular contactless smart card, which is primarily used in the management of access control and public transport payment systems. It has several security features such as the proprietary stream cipher Crypto 1, a challenge-response mutual authentication protocol, and a random number generator. Unfortunately, multiple studies have reported structural flaws in its security features. Furthermore, various attack methods that target genuine MIFARE Classic cards or readers have been proposed to crack the card. From a practical perspective, these attacks can be partitioned according to the attacker's ability. However, this measure is insufficient to determine the optimal attack flow due to the refined random number generator. Most card-only attack methods assume a predicted or fixed random number, whereas several commercial cards use unpredictable and unfixable random numbers. In this paper, we propose optimal MIFARE Classic attack procedures with regards to the type of random number generator, as well as an adversary's ability. In addition, we show actual attack results from our portable experimental setup, which is comprised of a commercially developed attack device, a smartphone, and our own application retrieving secret data and sector key.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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• pp.251-256
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• 2006

In the work package 'Integrated Positioning' of the research project NAVIO (Pedestrian Navigation Systems in Combined Indoor/Outdoor Environements) we are dealing with the navigation and guidance of visitors of our University. Thereby start points are public transport stops in the surroundings of the Vienna University of Technology and the user of the system should be guided to certain office rooms or persons. For the position determination of the user different location sensors are employed, i.e., for outdoor positioning GPS and dead reckoning sensors such as a digital compass and gyro for heading determination and accelerometers for the determination of the travelled distance as well as a barometric pressure sensor for altitude determination and for indoor areas location determination using WiFi fingerprinting. All sensors and positioning methods are combined and integrated using a Kalman filter approach. Then an optimal estimate of the current location of the user is obtained using the filter. To perform an adequate weighting of the sensors in the stochastic filter model, the sensor characteristics and their performance was investigated in several tests. The tests were performed in different environments either with free satellite visibility or in urban canyons as well as inside of buildings. The tests have shown that it is possible to determine the user's location continuously with the required precision and that the selected sensors provide a good performance and high reliability. Selected tests results and our approach will be presented in the paper.

• International Journal of Contents
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• 제14권4호
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• pp.39-50
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• 2018

This paper analyzes the existing transportation systems of Nigeria and Korea and proposes a new railway and roadway design for Nigerian cities. The research findings and feasibility study revealed that the state of Nigeria's transportation system was critical as was its market segment, infrastructural deficit and financial requirement needed to implement a smart transportation system. The dilapidation of the existing infrastructure coupled with poor maintenance culture and limited public transport services has hindered the economic growth of Nigeria and its cities. A case study of Korea and Japan shows some possible solutions to Nigeria transportation challenges. Analytical and descriptive methods were used to critically assess the infrastructural challenges, movement, and convenience. The study proposed the design of a new intercity railroad and roadway across Abuja, Enugu, Lagos and Port Harcourt cities. The proposed designs have been established to be an innovative solution with advanced benefits over the current system. The implementation of the proposed designs is estimated to cost about US$(77,832,027,719) across the study areas. Thus, the discussion, conclusion, and recommendations given present a proposal to the Nigerian government on the possibility of solving the Nigerian intercity railroad and roadway transportation challenges across Abuja, Enugu, Lagos and Port Harcourt cities through smart designs.

• International Journal of Advanced Culture Technology
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• 제10권2호
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• pp.300-306
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• 2022

Currently, Korea is building traffic infrastructure using Intelligent Transport Systems (ITS), but the pedestrian traffic accident rate is very high. The purpose of this paper is to prevent the risk of traffic accidents by jaywalking pedestrians. The development of this study aims to detect pedestrians who trespass using the public data set provided by the Artificial Intelligence Hub (AIHub). The data set uses training data: 673,150 pieces and validation data: 131,385 pieces, and the types include snow, rain, fog, etc., and there is a total of 7 types including passenger cars, small buses, large buses, trucks, large trailers, motorcycles, and pedestrians. has a class format of Learning is carried out using YOLOv5 as an implementation model, and as an object detection and edge detection method of an input image, a canny edge model is applied to classify and visualize human objects within the detected road boundary range. In this study, it was designed and implemented to detect pedestrians using the deep learning-based YOLOv5 model. As the final result, the mAP 0.5 showed a real-time detection rate of 61% and 114.9 fps at 338 epochs using the YOLOv5 model.

• 한국항공운항학회지
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• 제32권2호
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• pp.37-47
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• 2024

This paper examines the unique transportation challenges posed by Nepal's diverse and rugged terrain, which significantly hampers socio-economic development due to its negative impact on infrastructure, trade, and accessibility. Despite ongoing efforts to enhance road and traditional air transport systems, Nepal's geographic and environmental conditions continue to obstruct efficient connectivity, particularly in rural and remote areas. This study proposes Advanced Air Mobility (AAM) as a transformative solution, leveraging recent technological advancements in unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft. By conducting a comprehensive analysis of Nepal's current transportation infrastructure and the feasibility of AAM implementation, the paper highlights the potential benefits of AAM, including improved accessibility, economic growth, and environmental sustainability. Furthermore, it addresses the anticipated challenges and regulatory considerations necessary for integrating AAM into Nepal's transportation network. Through a multidisciplinary approach, this research aims to contribute to the discourse on overcoming transportation barriers in mountainous regions, offering policy recommendations and identifying areas for future study to facilitate the adoption of AAM in Nepal and similar contexts worldwide.

• 농촌계획
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• 제16권3호
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• pp.131-141
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• 2010

As a basic life-supporting infra in modem life, road should carry out various functions; transport, public linear network service, open activity space. Case study villages were divided into plan-based improved one(3 subtypes) and not one(4 subtypes). On total 21 case study villages($3{\times}7$ subtypes), questionnaire surveys were performed. Villagers' satisfaction level to road conditions in the plan-based improved villages showed much higher than not improved ones, which means that improvement of village roads be a vital subject in level-up of quality of rural life. Traffic function of village roads was responded as a principal one, while other various functions as between-villagers communication, car-parking and accommodation of public utilities were also required. In this viewpoint, village roads should be multi-purposedly developed in future. So, it was concluded that the road improvement strength would vary with geographical and topographical conditions of each village. Although villagers' unsatisfaction level on road service was very high, their demand level of and supporting will toward road improvement works have continuously increased, so, it would be considered to be the very time that full-fledged village road improvement policy be initiated.

• 한국빅데이터학회지
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• 제2권2호
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• pp.1-7
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• 2017

ITS(Intelligent Transport Systems)는 시민들의 교통이용 안전과 편의를 도모하고 교통 시스템의 효율적인 운영 및 관리를 위해 대도시를 중심으로 도입되었다. 우리나라의 경우 ITS가 전국적으로 확대되면서 도로소통상황, 교통량, 대중교통운영현황 및 관리상황, 대중교통이용현황 등 다양한 교통정보가 생성되고 있다. 본 논문에서는 ITS에서 수집되는 데이터 중 하나인 DSRC(Dedicated Short Range Communications) 빅데이터를 활용하여 도시 교통구조를 네트워크 분석 기법을 통해 규명한다. 이를 통해 도심에서의 복잡한 교통현상을 단순화시키고, 차량 흐름에 따른 도시 교통의 구조적 특징을 도출한다. 분석 결과는 도시의 교통을 좀 더 쉽게 이해할 수 있도록 도와주고, 향후에 도시교통의 혼잡 해소방안, 도로 확장 계획 등의 교통정책 수립시 기초연구 자료로 활용할 수 있다.

• 디지털콘텐츠학회 논문지
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• 제19권3호
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• pp.569-577
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• 2018

근거리 무선통신 (NFC)은 전 세계적으로 주목 받고 있는 유용한 기술이다. NFC 모바일 결제는 많은 금융 기관을 포함한 기술 회사에서 개발되었고 특히 대중교통에 많이 적용되고 있다. 본 연구에서 우리는 NFC 결제 시스템을 채택하려는 의도에 영향을 미치는 NFC 시스템에 관련된 주요 요인들을 확인하였다. 이러한 연구 가설을 검증하기 위하여 최근 한국에서 Post China로 많은 관심을 받고 있는 베트남의 경제 중심지인 호치민시에 거주하는 355 명의 응답자를 대상으로 설문을 통하여 자료를 수집하고 Amos를 활용하여 통계적 분석을 실시하였다. 이론적으로는 기술 수용 모델 (TAM)을 사용하였다. 사회적 영향력, 신뢰, 보안, 사용자의 편의성 모두가 매개변수(인지된 유용성 및 사용용이성)를 통하여 NFC결제 방법 사용의도 및 실제 사용에 영향을 미치는 중요한 역할을 하는 것으로 나타났다.

• Spatial Information Research
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• 제21권5호
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• pp.23-32
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• 2013

국토공간의 이용상황을 파악하고 효과적인 개발 및 보존계획을 세우는 일은 국가의 중요 업무다. 그러나 60여개에 달하는 법률에 의해 조사가 이루어지고 있으나 조사대상, 방법, 시기 등이 달라 예산의 중복과 정책의 혼선을 야기하고 있다. 또한 공적장부에 기재된 지목은 공식적으로 토지이용 상태를 나타내고 있으나 현황에 따른 변경이 쉽지 않고 용도를 임의로 변경하여 사용하는 경우에는 이용현황의 종합적인 통계에도 오류가 발생하므로 일관된 방식의 조사와 정보구축이 필요하다. 본 연구에서는 토지뿐 아니라 공유수면과 지하공간까지 포함하는 국토공간에 대해 현행 이용현황조사를 분석하고 조사방법, 시스템구축, 법제도 개선, 정보활용을 위한 방안을 제시하였다. 결과적으로 정확하고 일관성있는 국토관리를 위해 지상 및 지하, 강, 바다 등에 대한 입체적인 현황 조사 및 관리가 필요하며, 이를 위한 법률 제정과 전담조사기관을 지정이 필요함을 알 수 있었다.