• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.173-183
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• 2023

Purpose: In order to reduce industrial accidents caused by forklift trucks, it is actually necessary to analyze the causes of accidents. This study aims to present disaster prevention measures by analyzing accident cases by forklift accident type. Method: For the analysis of industrial accidents, including serious industrial accidents caused by forklifts from 2021 to 2022, accident statistics from the Korea Occupational Safety and Health Agency were used to analyze accidents in four types. Result: In the last two years, the total number of victims, including deaths and other serious injuries, was 2,559, which was 1,396 in 2021 and 1,163 in 2022. Disaster prevention measures were presented for industrial accidents by size and occurrence type of equipment that cause serious industrial accidents in which more than 1,000 people are injured annually. Conclusion: It is necessary to expand the number of workers subject to the forklift financial support project to less than 100. It is necessary to amend the proviso on boarding restrictions in Article 86, Paragraph 7 of the ｢Regulations on Industrial Safety and Health Standards｣. It is mandatory to install front and rear cameras. It is necessary to install driving-linked safety belts. It is necessary to install line beams obligatory. It is necessary to expand the subject of forklift special safety and health education to workplaces that have more than one forklift truck, and it is necessary to redesignate the training hours to 16 hours every year.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.5
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• pp.1158-1164
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• 2014

The propensity analysis for oral exam candidates of sixth class deck officer's license was conducted to serve as a basic data for improving the ability of seamanship and a stable workforce supply using a questionnaire. A general information of them was identified as 64.4% of offshore fishing, 56.8% of over 50, 56.6% of less middle school education, 55.6% of under 100 gross tonnage, 81.2% of over 10 years experience, 85.6% of deck department, which means they are from mainly less than 100 gross tonnage of offshore fishing vessel, less educated, and long term experienced in the deck job. The reason why they took the test was mainly due to their will (71.1%). And 52.7% of them took the test for the first time, 52.7% of answers responded they are lack of knowledge about a written exam and text of KIMFT in preparation data for an oral exam 23.3%. Given the fact that 83.3% of respondents experienced marine accidents on board, the need for marine casualty reduction education was verified. Even after obtaining a license, they showed a higher preference of boarding that they embarked before the examination. Also, 61.7% of them have a plan for long-term boarding at least three years, thus leading to supply of workforce in coastal and offshore areas.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.5
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• pp.1151-1157
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• 2014

The propensity analysis for oral exam candidates of sixth class engineer officer's license was conducted to serve as a basic data for improving the ability of seamanship and a stable workforce supply using a questionnaire. A general information of them was identified as 62.1% of offshore fishing, 59.3% of over 50, 59.4% of less middle school education, 52.4% of under 100 gross tonnage, 75.2% of under 1,500kW engine output, 72.5% of over 10 years experience, 72.4% of engine department, which means they are from mainly less than 100 gross tonnage of offshore fishing vessel, less educated, and long term experienced in the engine job. The reason why they took the test was mainly due to their will (51.7%). And 45.5% of them took the test for the first time, 45.5% of answers responded they are lack of knowledge about a written exam and text of KIMFT in preparation data for an oral exam 35.9%. Given the fact that 74.5% of respondents experienced marine accidents with engine damage on board, the need for marine casualty reduction education was verified. Even after obtaining a license, they showed a higher preference of boarding that they embarked before the examination. Also, 61.4% of them have a plan for long-term boarding at least three years, thus leading to supply of workforce in coastal and offshore areas.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.211-218
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• 2021

A recent spread of personal mobility devices such as electric kickboards has brought about a rapid increase in accident cases. Such vehicles are susceptible to falling accidents due to their low dynamic stability and lack of outer protection chassis. This paper presents the development of an automatic emergency braking system and a safe starting system as driving assistance devices for electric kickboards. The braking system employed artificial intelligence to detect nearby threaening objects. The starting system was developed to disable powder to the motor until when the driver's boarding is confirmed. This study is meaningful in that it proposes the convergence technology of advanced driver assistance systems specialized for personal mobility devices.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.12
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• pp.6098-6104
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• 2012

Currently, dozens of CCTVs are widely used in railway station for monitoring passengers in danger and security areas. The most frequent accidents occur at the platform area where passengers boarding the train. However, It is almost impossible that station operator monitors dozens of CCTV screens and recognizes immediately accidents and handle them. Therefore, railway platform monitoring system using image processing technology which automatically detects platform accidents is needed, and in order to that, preferentially, accurate determination of train state in the platform is required. In the paper, we propose train state detection algorithm for vision based railway platform monitoring system. the proposed algorithm determines four different states i.e. trains approach(IN), departure(OUT), stop(ON), and empty(OFF) of the train, in the platform. To evaluate the proposed algorithm, we present the train detection results for the Seoul Metro Line 4 Dongjak and Namtaeryeong Station.

• Smart Media Journal
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• v.12 no.11
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• pp.57-66
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• 2023

In this paper, we present a study on an AI-based system utilizing the CCTV system within city buses to predict the intentions of boarding and alighting passengers, with the aim of preventing accidents. The proposed system employs the YOLOv7 Pose model to detect passengers, while utilizing an LSTM model to predict intentions of tracked passengers. The system can be installed on the bus's CCTV terminals, allowing for real-time visual confirmation of passengers' intentions throughout driving. It also provides alerts to the driver, mitigating potential accidents during passenger transitions. Test results show accuracy rates of 0.81 for analyzing boarding intentions and 0.79 for predicting alighting intentions onboard. To ensure real-time performance, we verified that a minimum of 5 frames per second analysis is achievable in a GPU environment. his algorithm enhance the safety of passenger transitions during bus operations. In the future, with improved hardware specifications and abundant data collection, the system's expansion into various safety-related metrics is promising. This algorithm is anticipated to play a pivotal role in ensuring safety when autonomous driving becomes commercialized. Additionally, its applicability could extend to other modes of public transportation, such as subways and all forms of mass transit, contributing to the overall safety of public transportation systems.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1741-1746
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• 2022

As the use of school buses becomes more common, related laws are being enacted, such as making it mandatory for children to check school bus dropouts due to frequent accidents caused by the negligence of school bus drivers and their guardians. In this paper, we propose a safe school bus system that links efficient radio-frequency identification (RFID) and mobile APP in terms of energy utilization and cost. The school bus system uses RFID cards to check information on children boarding the school bus, and real-time SMS transmission allows parents to safely send their children to and from school. Instructors on the school bus can check their children's disembarkation information once more through APP, preventing various accidents that may occur to children left on the bus. Due to the automation of the school bus operation log, daycare center teachers can not only check the information on getting on and off, but also manage the information on the attendance and discharge of the students.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1423-1432
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• 2011

Since the marine accidents increase with the increased volume of traffic, preventive surveillance technology for safety navigation of the ships before the accident is being emphasized to secure the safety at sea along with post-accident measures. This paper aims to suggest a design based on an integrated safety management platform systems to support nautical safety, implements of bridge operation terminal equipments and alarm system for bridge watch monitoring and abnormal state of navigation/propulsion/machinery/power, and performs a quality evaluation for the actual boarding on the ship based on the classification standards.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.26 no.3
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• pp.55-65
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• 2018

The SBD systems have made it possible that all boarding procedures are completed by passengers. With the SBD, air tickets can be issued and baggage can be consigned without the help of airline officers. This way, the SBD can improve the passenger circulation speed as well as decrease the time for passengers to wait for check-in, which is connected to the reduction of airlines' operaitonal costs. However, given that the SBD is a new technology, it has potentials to be used as a tool for air terrorism. This study purposes to determine methods to enhance the security and operation of SBD systems. With the aim, this paper investigated the existing literature on SBDs, self-check-in, airport security, air terrorism, risk management, aviation accidents, and information security. In order to compile real-time information about the SBD operations, twelve airports in North America, Europe, and Asia were analyzed based on existing studies on international SBD trends.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.2
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• pp.160-166
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• 2016

Crew fatigue has been recognized as a major cause of maritime accidents. Systematic study on crew fatigue has a direct impact on the human factor, but the various measures being taken to prevent human error account for most of the causes of marine accidents situation are still insufficient. In this study, 128 people who have a variety of career and job types boarded the T/S Hanbada were analyzed the changes of fatigue during the 87-days a Maritime Silk Road Sailing Expedition. Crew fatigue was measured by period of time onboard classified as mental, physiological and physical changes through survey responses and individual interviews of nurses. Also, it was identified the fatigue factor through quantitative statistical analysis. As a result of repeated measures analysis of variance for the changes of fatigue in position and gender criteria in accordance with boarded period, the position-specific analysis was that Professor Rating group has appeared to feel more mental and physical fatigue than the student population. Also, the results of fatigability about the sex-specific analysis have been found that women feel more physical fatigue than men.