• Korean Chemical Engineering Research
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• 제61권4호
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• pp.611-618
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• 2023

전 세계에서 수소자동차 충전의 기초로 사용되는 SAE J2601의 내용과 충전 프로토콜의 목적과 개념을 조사하고, 우리나라의 프로토콜 관련 연구 내용을 조사하였다. 그리고, 우리나라에서 개발한 수소 충전 성능평가 장비의 구성 요소와 수소충전소의 성능과 안전을 평가할 수 있는 방법에 대해 검토하고, 현재 국내에서 운영하고 있는 수소충전소에 대해 현장 적용을 실시하였다. 또한, 국내에서 운영 중인 수소충전소에서 수집한 데이터를 이용하여 경제성 분석을 하였다. 수소충전소의 안전성과 경제성을 확보하기 위해서는 프로토콜을 만족하여야 하며, 프로토콜을 만족하기 위해서는 충전온도, 충전압력, 충전 유량이 안전한 범위 내에서 제어되고 있는지 평가하는 것이 필요하다.

• Journal of information and communication convergence engineering
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• 제22권2호
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• pp.159-164
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• 2024

This study aimed to develop an advanced anomaly-detection system tailored for solar power distribution panels using thermal imaging cameras to ensure operational stability. It addresses the imperative shift toward digitalized safety management in electrical facilities, transcending the limitations of conventional empirical methodologies. Our proposed system leverages a faster R-CNN-based artificial intelligence model optimized through meticulous hyperparameter tuning to efficiently detect anomalies in distribution panels. Through comprehensive experimentation, we validated the efficacy of the system in accurately identifying anomalies, thereby propelling safety protocols forward during the fourth industrial revolution. This study signifies a significant stride toward fortifying the integrity and resilience of solar power distribution systems, which is pivotal for adapting to emerging technological paradigms and evolving safety standards in the energy sector. These findings offer valuable insights for enhancing the reliability and efficiency of safety management practices and fostering a safer and more sustainable energy landscape.

• 한국산업융합학회 논문집
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• 제26권4_1호
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• pp.545-551
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• 2023

In this paper, a robot automation methodology for chemical drum assembly in semiconductor industries are presented. Robot automation is essential to resolve safety issues in which operators are directly or indirectly exposed to chemicals or fumes in assembling dispense heads on chemical drums. However, the chemical drum assembling process involves complex and difficult tasks, such as mating male/female keycodes and fastening screws with large-diameter, which may be very difficult to be performed by a single-arm robot with a commercial rigid F/T sensor. In order to solve the problems, a method for assembling a chemical drum using dual-arm collaborative robot system, compliance F/T sensor, robot vision and gripper is presented.

• 한국산업융합학회 논문집
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• 제26권2_2호
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• pp.285-291
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• 2023

In this paper, in order to secure the safety and productivity of pine cone harvest, modeling and structural analysis of the hammering system for pine cone harvest drone that can easily access pine cone of Pinus koraiensis and collide with them to harvest them was performed. It calculate the equivalent stress for the structure of the hammering system and the yield strength of the applied material by applying the shear force of the stalk at which the pine cone is separated from the branch, and it is to verify the safety of the structure and propose an optimal design through appropriate factor of safety and design change. The shear force of the stalk at which the pine cone was separated from the branch was 468 N, and was applied to both ends of the hammering system. The yield strength of SS400 steel used in the hammering system is 245 ㎫, and the design change and structural analysis were performed so that the Von Mises stress could be less than 122.5 ㎫ by applying the factor of safety of 2.0 or more. As a result of the structural analysis of the frist modeling, the Von Mises stress was 220.3 ㎫, the factor of safety was 1.12, and the stress was concentrated in the screw fastening holes. As a result of the design change of the screw fastening holes, the Von Mises stress was 169.4 ㎫, the factor of safety was 1.45, and the stress was concentrated on the side part. As a result of the design change by changing screw fastening holes and adding ribs, the Von Mises stress was 121.6 ㎫, and the factor of safety was 2.02. The safety of the hammering system was secured with an optimal design with little change in mass. There was no deformation or damage as a result of experimenting on pine cone harvest by manufacturing the hammering system with an optimal design.

• Journal of information and communication convergence engineering
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• 제15권4호
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• pp.227-231
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• 2017

Recently, as the number of safety accidents caused by reagents increases, researches on a system that can reduce safety accidents are underway. Existing systems managed reagent cabinet through various sensors. On the other hand, there are disadvantages in that countermeasures against simultaneous danger situations are insufficient at multi-reagents cabinet. In order to solve this problem, this paper proposes a system to manage the reagents cabinet through danger priority. Danger priorities are selected through domestic chemical accident cases and the Chemical Safety Management Act. If a danger situation occurs in the reagent cabinet, make sure it is from a single or multiple reagent cabinets. For multiple reagent cabinets, compare the reagent cabinet priorities and run the device sequentially from the reagent cabinet with the highest priority. Thus, by operating the device according to the danger priority, the chain reaction can be prevented in advance and the reagent cabinet can be safely managed.

• 한국융합학회논문지
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• 제9권12호
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• pp.189-194
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• 2018

24인승 엘리베이터 비상 브레이크를 개발하기 위하여 구조해석을 수행하였다. 최근 대형건물의 빈번한 화재로 인하여 엘리베이터 비상 브레이크의 안전성이 부각되었다. 비상 브레이크의 안전성을 확인하기 위하여 SolidWorks를 활용하여 설계하고 유한요소해석 코드인 ANSYS를 활용하여 구조해석을 수행하여 총변형량, 변형률, 응력을 구하였으며 해석결과를 24인승 엘리베이터 비상브레이크를 제작 시 기초자료로 이용하였다.

• 한국산업융합학회 논문집
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• 제26권2_1호
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• pp.217-223
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• 2023

With the rapid advancement of technologies, need for different research fields where this technology can be used is also increasing. One of the most researched topic in computer vision is object detection, which has widely been implemented in various fields which include healthcare, video surveillance and education. The main goal of object detection is to identify and categorize all the objects in a target environment. Specifically, methods of object detection consist of a variety of significant techniq ues, such as image processing and patterns recognition. Anomaly detection is a part of object detection, anomalies can be found various scenarios for example crowded places such as subway stations. An abnormal event can be assumed as a variation from the conventional scene. Since the abnormal event does not occur frequently, the distribution of normal and abnormal events is thoroughly imbalanced. In terms of public safety, abnormal events should be avoided and therefore immediate action need to be taken. When abnormal events occur in certain places, real time detection is required to prevent and protect the safety of the people. To solve the above problems, we propose a modified YOLOv5 object detection algorithm by implementing dilated convolutional layers which achieved 97% mAP50 compared to other five different models of YOLOv5. In addition to this, we also created a simple mobile application to avail the abnormal event detection on mobile phones.

• International journal of advanced smart convergence
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• 제12권2호
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• pp.159-166
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• 2023

Due to the aging workforce in the construction industry in South Korea, the accident rate has been increasing. The cognitive abilities of older workers are closely related to both safety incidents and labor productivity. Therefore, there is a need to improve cognitive abilities through personalized training based on cognitive assessment results, using cognitive training content, in order to enable safe performance in labor-intensive environments. The provided cognitive training content includes concentration, memory, oreintation, attention, and executive functions. Difficulty levels were applied to each content to enhance user engagement and interest. To stimulate interest and encourage active participation of the participants, the difficulty level was automatically adjusted based on feedback from the MMSE-DS results and content measurement data. Based on the accumulated data, individual training scenarios have been set differently to intensively improve insufficient cognitive skills, and cognitive training programs will be developed to reduce safety accidents at construction sites through measured data and research. Through such simple cognitive training, it is expected that the reduction of accidents in the aging construction workforce can lead to a decrease in the social costs associated with prolonged construction periods caused by accidents.

• 식품보건융합연구
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• 제5권6호
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• pp.11-16
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• 2019

The construction environment has been declared as a hazard prone area due to high number of accident and death. The study aims to identify influential factors that contribute to poor safety practices and its consequences on construction workers in Cape Coast Metropolis. Seventy respondents were taken as the sample size for the study. Descriptive analysis was used to analyze the data obtained from the field. Findings show that poor site management, working without safety gadgets, failure to use their Personal Protective Equipment (PPE) and negligence of workers were the main causes of accidents on sites. Poor site management had the highest ranking among the seven variables. Effects of poor safety practices on building construction site and delays in work execution were due to injury of workers, extra cost due to payment of compensation to injured victims, not motivated due to injury of worker and declined reputation of firm. Management team should motivate workers for safe work done, provide adequate PPE for their workers on site and have documented health and safety policy on site. Site authorities and management team should be on site regularly to ensure proper safety practices on construction site.

• 한국산업융합학회 논문집
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• 제27권3호
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• pp.591-599
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• 2024

This paper presents the configuration and characteristic analysis of the protection system to improve the safety of the building integrated photovoltaic(BIPV) system. BIPV is a solar power system installed in buildings. Since the BIPV system is installed in buildings, there is a high risk of electric shock and fire accidents. Therefore, in order to improve the safety of BIPV, a protective system is required to block or quickly detect risk factors. In this paper, as a protection system to improve the safety of the BIPV system, it is composed of a rapid shutdown (RSD) that can quickly separate the PV system to prevent fire and electric shock accidents and a system to detect Arc faults that cause PV system fires. RSD and Arc Fault Detector analyzed the operating characteristics according to each condition and confirmed that the safety of the BIPV system can be improved through this.