• Journal of the Korean Society for Aviation and Aeronautics
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• v.17 no.1
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• pp.64-70
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• 2009

Because of globalization, flight trips are generalizing, however in proportion to this, it is increasing that people who afraid of riding an airplane because of flight phobia. ‘Flight Phobia’ is individual problem; however it can be factors to suspend of flight schedules. This research is experimental analyzed the recognition degree of flight attendants and cabin attendants about flight phobia and suggested the direction of management about related problems. This research examines meanwhile overlooked importance of flight phobia and the actual condition and if problems are happened, this research will be used valuable to manage quickly and safely.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.915-920
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• 2005

Passenger safety is a primary concern of railway system but, it has been urgent issue that dozens of people are killed every year when they fall off from train platforms. Recently, advancements in IT have enabled applying vision sensors to railway environments, such as CCTV and various camera sensors. The objective of this work is to propose technical and system requirements for establishing intelligent monitoring system using camera equipments in urban transit system. We suppose the system is to determine automatically and in real-time whether anyone or anything is in monitoring area. To achieve the goal, we analyze recent image processing technologies for detection and recognition, and suggest possible direction of system development for applying urban transit system. According to the results, we expect the proposed system requirements will playa key role for establishing highly intelligent monitoring system in railway.

• Journal of the Korean Society for Railway
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• v.19 no.2
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• pp.243-250
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• 2016

As sustainable growth has been emphasized in the field of transportation, the railway system has been promoted as an environmentally-friendly transport mode. However, mode shifts from other transport modes to railway have been sluggish. In this context, to enhance the understanding of railway's competitive advantages and disadvantages, this research evaluates travelers'preferences for public transport modes for inter-regional trips: such understanding should make it possible to formulate effective policy for promoting railways. To this end, passenger recognition of competitive transport modes has been measured by applying multidimensional scaling analysis for six major inter-regional public transport services - KTX, ITX-Samaeul, Mugunghwa-ho, premium express bus, general express bus, and airline. As a result, we can conceptualize the recognition similarity in two-dimensional space, and understand how travelers perceive the six major transport modes.

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.173-182
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• 2021

In this paper, we analyzed driver's and passenger's motions that cause driver's distraction, and recognized 10 driver's behaviors related to mobile phones. First, distraction-inducing behaviors were classified into environments and factors, and related recent papers were analyzed. Based on the analyzed papers, 10 driver's behaviors related to cell phones, which are the main causes of distraction, were recognized. The experiment was conducted based on about 100,000 image data. Features were extracted through SURF and tested with three models (CNN, ResNet-101, and improved ResNet-101). The improved ResNet-101 model reduced training and validation errors by 8.2 times and 44.6 times compared to CNN, and the average precision and f1-score were maintained at a high level of 0.98. In addition, using CAM (class activation maps), it was reviewed whether the deep learning model used the cell phone object and location as the decisive cause when judging the driver's distraction behavior.

• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.68-77
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• 2019

The purpose of this study is to identify the optimal model to explain safety behavioral intention according to the recognition of safety communication in cabin through comparison of Planned behavioral theory and Triandis' theory of interpersonal behavior. In order to accomplish the study purpose, research model and hypothesis were established based on the previous research. As a result of the analysis, it was found that attitude and Perceived Behavioral Control had a positive effect on the safety behavioral intention. Triandis theory shows that social factors and habits have a positive impact on safety behavioral intention. In addition, A comparison of the two models confirms that both psychological processes of recognition and emotion are accompanied by the relationship between safety information awareness and safety behavioral intention.

• Proceedings of the KIEE Conference
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• 1991.07a
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• pp.102-105
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• 1991

In recognition of the transportation problems of the present and to prepare for the ever increasing demands of the future, government decided to develop the magnetically levitated train domestically and started R&D program office in Korea Institute of Machinery and Metals(KIMM). This office since has established three step by step goals : first to develop a 40 passenger exhibition vehicle for Daejon EXPO'93, second to develop the low to mid-speed maglev system for urban public transportation by 1997 and finally the high speed inter-city maglev train by year 2001. The first two maglev systems will use attractive levitation-LIM driven technologies and these technologies are the ones currently being developed by this office and others. The maglev train system is a product of wide range of technologies from electro-technologies to civil engineering technologies. Some of the technologies are currently available but more have to be developed in the near future and these technologies are owned by or to be developed by various institutions within the science & technology community. The level of the technologies available at the present time are still very rudimentary and their basis are very narrow. Recently we have made a few successes in terms of levitation and propulsion but they are only with small scale modules and results are very qualitative at best. A great deal of development work has yet to be done to refine the technologies and to gain confidence. Full scale levitation/propulsion modules will be tested on the curved guideway within 6 months by this office and another institution. This paper reviews the current status of the maglev technologies in Korea and discuss the development strategies. The Korean maglev program is very ambitious and the schedule is even more so. A steady financial support and strong system engineering and integration are essential to the success of this program.

• 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.

• 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.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2D
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• pp.265-273
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• 2006

On the occasion of high price oil generation, we have to promote activation policy for public transportation and hold back to use passenger car, it is very important to improve of sidewalk environment for pedestrian. Evaluation for sidewalk environment will be fixed with sensibility to feel pedestrian. So, study for sensibility about comfort etc. to feel pedestrian will be carried out. In this paper, researchers interests in engineering methods to make material considering sensibility and image of human. Therefore, we carried out recognition experiment for sidewalk environment with Kansei engineering, and made a quantitativedata of sensibility adjective that it was surveyed by semantic deferential method. After grasp factors by principal analysis, we found factor effect to design criterion and sidewalk environment preference. So, we could identify a design factor for comfort environment.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.2
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• pp.189-200
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• 2019

Korean seafarers have played a key role throughout the country's history and economic development. They have been a major source of foreign remittance into the nation as well as a pivotal sector in emergency logistics during war times. However, the current number of Korean seafarers in decreasing due to low job attractiveness and retention rate onboard. This is a major problem for the national and international shipping industry as youth seem not to be interested in working onboard for long periods of time. The purpose of this study is to 1) determine what the public opinion about seafarers in Korea is and 2) find out what factors mostly stand out in the public opinion about seafarers profession. The paper suggests that three main types of opinion groups emerged. The first type is labeled as 'high risk, high workload and high stress' as respondents recognized a high possibility of accident onboard and, at the same time, acknowledged that seafarers can be fatigued and stressed. The second type was named as 'Dangerous, Dirty, Difficult', as seafarers' image was mainly associated to fishing vessels and not to merchant and passenger ships. The third type recognized that the social position of the seafarers was low due to 'low social recognition'. The study suggests that all three types have a negative image of seafarers' job. Based on the results of this study, it is necessary to establish various policies and marketing tools to improve the negative job image linked to seafarers by the public opinion. If the public image of seafarers can be improved and attractiveness rose, it is expected a higher number of seafarers will pursue and keep a career at sea.