• Journal of the Korea Safety Management & Science
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• v.23 no.3
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• pp.1-9
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• 2021

Crane is an important equipment for the transport of heavy goods in industrial sites, but it is also known as one of the most fatal machines. In order to reduce crane accidents, it is necessary to minimize human errors during crane operations. To achieve this, ergonomic design principles are recommended to be reflected from the crane design stage. The study analyzed the safety certification standards for crane that should be fulfilled at the crane design and manufacturing stage. This study selected five representative ergonomic design principles (feedback, compatibility, consistency, full-proof, and fail-safe) by surveying heuristic evaluation principles that are widely used for usability evaluation in early design stage. Next, the principles were applied to the safety certification standards to identify insufficient clauses. This study identified 12 insufficient clauses out of 119 in the current safety certification standards for crane and discussed their improvement directions to comply the ergonomic principles. The analysis results of this study can help of improving the safety certification standards and the method used in this study can also be applied to identify insufficient clauses in the safety certification standards for other industrial machines such as press machine and lift.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.237-242
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• 2019

Recently, as the public interest in autonomous cars has increased, research and technology development of related companies for the commercialization of autonomous cars have been actively carried out, and the development has progressed to a stage where they are partially but actually used. However, in March 2018, Uber and Tesla cars caused two fatal accidents, and the need for a new system is emerging. Therefore, this paper suggests a new information processing model for autonomous driving car system by supplementing the cause of recognition errors caused by the cause of death by focusing on the accident of autonomous driving car.

• The Korean Journal of Legal Medicine
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• v.42 no.4
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• pp.168-171
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• 2018

In Korea, small octopus (Octopus minor) and webfoot octopus (Octopus ocellatus) are food items and fatal laryngeal choking due to ingestion of live octopus is not uncommon. We recently encountered two autopsy cases of accidental choking on small octopus and webfoot octopus. Case 1 involved a 58-year-old fisherman who ingested two live webfoot octopuses in his fishing boat and collapsed. He was immediately taken to the hospital but died. During autopsy, one of the webfoot octopuses was found between his pharynx and esophagus; it was obstructing the epiglottis and upper esophagus. His blood alcohol concentration was 0.140%. Case 2 involved a 55-year-old man who ingested an intact body part of a small octopus and was found dead in his house. He had a history of cerebral infarction and angina pectoris. During autopsy, an intact body part of the small octopus was found to be lodged in the laryngeal inlet.

• Journal of Auto-vehicle Safety Association
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• v.13 no.1
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• pp.14-25
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• 2021

This paper presents a RLS based adaptive sliding mode observer (A-SMO) for unknown fault reconstruction in longitudinal autonomous driving. Securing the functional safety of autonomous vehicles from unexpected faults of sensors is essential for avoidance of fatal accidents. Because the magnitude and type of the faults cannot be known exactly, the RLS based A-SMO for unknown acceleration fault reconstruction has been designed with relationship function in this study. It is assumed that longitudinal acceleration of preceding vehicle can be obtained by using the V2V (Vehicle to Vehicle) communication. The kinematic model that represents relative relation between subject and preceding vehicles has been used for fault reconstruction. In order to reconstruct fault signal in acceleration, the magnitude of the injection term has been adjusted by adaptation rule designed based on MIT rule. The proposed A-SMO in this study was developed in Matlab/Simulink environment. Performance evaluation has been conducted using the commercial software (CarMaker) with car-following scenario and evaluation results show that maximum reconstruction error ratios exist within range of ±10%.

• Journal of Sensor Science and Technology
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• v.31 no.2
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• pp.96-101
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• 2022

As the elderly population gradually increases, the risk of fatal fall accidents among the elderly is increasing. One way to cope with a fall accident is to determine the fall direction before impact using a wearable inertial measurement unit (IMU). In this context, a previous study proposed a method of classifying fall directions using a support vector machine with sensor velocity, acceleration, and tilt angle as input parameters. However, in this method, the IMU signals are processed through several processes, including a Kalman filter and the integration of acceleration, which involves a large amount of computation and error factors. Therefore, this paper proposes a machine learning-based method that classifies the fall direction before impact using IMU raw signals rather than processed data. In this study, we investigated the effects of the following two factors on the classification performance: (1) the usage of processed/raw signals and (2) the selection of machine learning techniques. First, as a result of comparing the processed/raw signals, the difference in sensitivities between the two methods was within 5%, indicating an equivalent level of classification performance. Second, as a result of comparing six machine learning techniques, K-nearest neighbor and naive Bayes exhibited excellent performance with a sensitivity of 86.0% and 84.1%, respectively.

• Transactions of the Korean hydrogen and new energy society
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• v.34 no.3
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• pp.297-306
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• 2023

The frequency of fatal accidents that can occur at hydrogen refueling station was compared with the risk criterion for the general public suggested by the health and safety executive. If hydrogen refueling station meets the accident prevention facility standards presented in KGS Code FP216/217, it was confirmed that the risk of hydrogen refueling station was not at an unacceptable (intolerable) risk level. However, the risk of hydrogen refueling station due to small leak was analyzed as low as reasonably practicable. Therefore, methods for improving the safety instrumented function of hydrogen refueling station were reviewed. It was confirmed that the risk of hydrogen refueling station can be affected by the number of installed safety instrumentation system components, redundant architecture, mission time, proof test interval, etc. And methods for maintaining the risk of hydrogen refueling station at an acceptable risk level have been proposed.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.313-316
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• 2015

Construction is one of the most dangerous job sectors, which reports tens of thousands of time-loss injuries and deaths every year. These disasters incur delays and additional costs to the projects. The safety management needs to be on the top primary tasks throughout the construction to avoid fatal accidents and to foster safe working environments. One of the safety regulations that are frequently violated is the wearing of personal protection equipment (PPE). In order to facilitate monitoring of the compliance of the PPE wearing regulations, this paper proposes a vision based method that automatically identifies whether workers wear hard hats and safety vests. The method involves three modules - human body detection, identification of safety vest wearing, and hard hat detection. First, human bodies are detected in the video frames captured by real-time on-site construction cameras. The detected human bodies are classified into with/without wearing safety vests based on the color features of their upper parts. Finally, hard hats are detected on the nearby regions of the detected human bodies and the locations of the detected hard hats and human bodies are correlated to reveal their corresponding matches. In this way, the proposed method provides any appearance of the workers without wearing hard hats or safety vests. The method has been tested on onsite videos and the results signify its potential to facilitate site safety monitoring.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.233-240
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• 2024

In this study, we introduce a system for real-time monitoring of field conditions within an industrial complex using a 5G network UAV (: Unmanned Aerial Vehicle). When a monitoring event occurs in a sensor mounted on a UAV (detection of fire, harmful gas, or industrial disaster type human accident), key information from the sensor is transmitted to the UAS (: Unmanned Aerial System) application server. As a result of this information transmission and processing, managers or operators of the Industrial Complex Corporation were able to secure legal basis data for fatal accidents, fires, and detection of harmful gases at sites within the Industrial Complex Corporation through trigger processing for each accident risk situation.

• Journal of the Korean Society of Safety
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• v.35 no.3
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• pp.64-71
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• 2020

Safety is not a service provided selectively by the country, and it is a basic right that human beings should enjoy. However, as the recent expansion of outsourcing due to the efficient corporate management, fatal accidents such as the Taean Power Plant where subcontractors are pinched on conveyors continued to occur. In addition, public safety concerns have been widespread as there are constant safety-related accidents in public institutions such as KTX trains derailing. As public institutions require safety as a top priority for management rather than profit, the government needs a leading role to enhance the level of private safety activities. The government announced the "Measures to strengthen the workplace safety of public institutions" and is promoting measures to protect the lives and safety of the people. The purpose of this study was to in-depth analysis of the accident and death situation in public institutions in the last 5 years from 2014 to 2018. A recognition survey was also conducted and the results were analyzed. As a result of the analysis of industrial accident death, it showed that the number of industrial accident deaths in public institutions was about 50 people per year, and it occupied about 6.1% of all industrial accidents. Following the government's public policy measures, positive changes as a result of the survey on awareness were detected in the order of rising safety awareness and participation of management (56.9%), safety and health organization and personnel composition (37.9%), and increasing safety awareness and participation of members (18.9%). However, the obstacles to the implementation of government measures were followings; 1) consciousness and lack of participation (42.1%), 2) indifference from other departments (35.1%), 3) absence, or lack of competency of safety manager (33.3%). In addition, safety investments and safety management of contractors and ordering works were analyzed to have remained largely unchanged even after the implementation of safety measures. Through this study, it is intended to provide basic data for strengthening the level and activities of safety in public institutions.

• The Journal of Sustainable Design and Educational Environment Research
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• v.18 no.4
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• pp.44-57
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• 2019

'Vision Zero' is a fundamental response to rapidly increasing number of traffic accidents. It was first introduced in Sweden in the late 20th century and is spreading worldwide. 'Vision Zero' criticizes an existing traffic safety policy that presupposes a reasonable human beings. It suggests that traffic safety policies should be on the possibility of making mistakes by irrational beings. Under the ethical vision that human life and health cannot be exchanged for any other social benefits, the policy issue should allow to make zero out the death rate and serious injuries of traffic accidents while allowing minor injuries. 'Vision Zero' argues that the government should design an environment in which individual mistakes never lead to fatal accidents. 'Vision Zero', which shows a different perspective from existing policies regarding safety ultimate goal, is spreading from traffic safety to other areas such as health, safety and well-being. This study examines the implication of the Korea's school safety policy from the perspectives of 'Vision Zero' on the five areas : "for what", "from what", "by what", "by whom", and "how". The study is intended to establish a new directions and challenges of school safety policy in Korea through an analytical discussions on 'Vision Zero'.