• Title/Summary/Keyword: Safety Accidents

Search Result 4,859, Processing Time 0.035 seconds

A Study on the Korean Patent Registration Trend of Outdoor Exercise Equipment for the Elderly (노인 관련 야외운동기구의 국내 특허 등록 동향에 관한 연구)

  • Dong-Cheol Chi;Hong-Young Jang
    • Journal of Industrial Convergence
    • /
    • v.21 no.6
    • /
    • pp.43-51
    • /
    • 2023
  • This study analyzed the patent status of the outdoor exercise equipment used primarily by the elderly. The purpose is to utilize the basic data obtained to promote the health of the elderly. The information on the patent was collected from KIPRIS, an information search service provided by the Korean Intellectual Property Office. The search term used was 'outdoor exercise equipment', directly related patents were selected, and a final 157 were analyzed. As a result of the analysis, first, patent registration began in 2007, and 2-3 patents were registered on average every year. Second, patents from the perspective of sports convergence that provide an exercise prescription system using wireless communication, such as the ability to generate electricity by operating a power generation module, providing information on the user's exercise amount, or preventing the loss and theft of weights and safety accidents due to their characteristics, were searched for. Lastly, patents related to exercise equipment that can provide user convenience and increase the frequency of use of exercise equipment were searched. The results of this study confirmed that outdoor exercise equipment is being developed more for the elderly and their convenience, and that companies and public institutions are showing increased interest in outdoor exercise equipment for the elderly. In addition to patent trends analysis, follow-up research in connection with exercise programs using outdoor exercise equipment is needed to develop practical and convenient outdoor exercise equipment in the future.

A Study on the Development of Harmonic Limit Device for Stabilizing Main Circuit Equipment of Train (열차운행 안정화를 위한 주회로 기기의 고조파 제한장치 개발에 관한 연구)

  • Kim, Sung Joon;Chae, Eun Kyung;Kang, Jeong Won
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
    • /
    • v.8 no.6
    • /
    • pp.853-861
    • /
    • 2018
  • This paper proposes the application of harmonic constraints to address the problems caused by abnormal voltage increases when electric railway vehicles are running. The AC line that supplies the train with power during operation is used to provide electricity of 25kV/60 Hz, but gradually the size and frequency of harmonics involved in the line are varied with the technological evolution of the railroad vehicle electrical equipment. An increase in heat losses due to the failure of the instrument transformer (PT), the main circuit device, which is a serious problem with the recent train safety operation, or to the main displacement voltage. When high frequency components are introduced through low frequency Transformers of the main circuit device, the high intensity of the components is caused by the high intensity of the core and the current flow of the parasitic core is increased, thus generating heat. To solve this problem, the recent adjustment of the sequence has applied artificial NOTCH OFF of the power converter. However, the method of receiving and controlling the OFF signal operates by interaction between the ground and the vehicle's devices, thus it is invalid in the event of failure, and an actual accident is occurring. Therefore, the harmonic currents were required to prevent possible flow of harmonics, and conducted a study to prevent accidental occurrence of train accidents and to verify feasibility of the device through the simulations of the train's experimental analysis and the simulations of the train for safe operation.

A Study on the Maritime Law According to the Occurrence of Marine Accidents of MASS(Maritime Autonomous Surface Ship) (자율운항선박의 해양사고 발생에 따른 해상법적 고찰)

  • Lee, Young-Ju
    • Maritime Security
    • /
    • v.6 no.1
    • /
    • pp.37-56
    • /
    • 2023
  • Recently, with the rapid development of ICT(Information and Communication Technology) and AI(Artificial Intelligence) technology industries, the emergence of MASS(Maritime Autonomous Surface Ship), which were thought only in the distant future, is approaching a reality. Along with the development of these amazing technologies, changes in the private law sector, such as liability, compensation for damages, and maritime insurance, as well as in the public law sector, such as maritime safety, marine environment protection, and maintenance of maritime order, have become necessary in the field of maritime law. In particular, with the advent of a new type of ship called MASS that does not have a crew on board, the kind and type of liability, compensation for damages, and insurance contracts in the event of a marine accident will also change. In this paper, the general theory about concept, classification, effectiveness and future of MASS and the general theory about concept and various obligations and responsibilities under the maritime law for discussion of MASS are reviewed. Next, in addition, regarding the problems that may occur in the event of a marine accident from MASS, the status as a ship, the legal relationship of the chartering contract, obligation to exercise due diligence in making the vessel seaworthiness, subject of responsibility, and liability for damages and immunity are reviewed from the perspective of maritime law. In addition, in the degree four of MASS, the necessities of further research to clarify the attributable subjects and standards of responsibility in the event of a marine accident, as well as the necessities of institutional improvement such as technology development, enactment and amendment of law and funding are presented.

  • PDF

Design of a designated lane enforcement system based on deep learning (딥러닝 기반 지정차로제 단속 시스템 설계)

  • Bae, Ga-hyeong;Jang, Jong-wook;Jang, Sung-jin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2022.10a
    • /
    • pp.236-238
    • /
    • 2022
  • According to the current Road Traffic Act, the 2020 amendment bill is currently in effect as a system that designates vehicle types for each lane for the purpose of securing road use efficiency and traffic safety. When comparing the number of traffic accident fatalities per 10,000 vehicles in Germany and Korea, the number of traffic accident deaths in Germany is significantly lower than in Korea. The representative case of the German autobahn, which did not impose a speed limit, suggests that Korea's speeding laws are not the only answer to reducing the accident rate. The designated lane system, which is observed in accordance with the keep right principle of the Autobahn Expressway, plays a major role in reducing traffic accidents. Based on this fact, we propose a traffic enforcement system to crack down on vehicles violating the designated lane system and improve the compliance rate. We develop a designated lane enforcement system that recognizes vehicle types using Yolo5, a deep learning object recognition model, recognizes license plates and lanes using OpenCV, and stores the extracted data in the server to determine whether or not laws are violated.Accordingly, it is expected that there will be an effect of reducing the traffic accident rate through the improvement of driver's awareness and compliance rate.

  • PDF

Detection Fastener Defect using Semi Supervised Learning and Transfer Learning (준지도 학습과 전이 학습을 이용한 선로 체결 장치 결함 검출)

  • Sangmin Lee;Seokmin Han
    • Journal of Internet Computing and Services
    • /
    • v.24 no.6
    • /
    • pp.91-98
    • /
    • 2023
  • Recently, according to development of artificial intelligence, a wide range of industry being automatic and optimized. Also we can find out some research of using supervised learning for deteceting defect of railway in domestic rail industry. However, there are structures other than rails on the track, and the fastener is a device that binds the rail to other structures, and periodic inspections are required to prevent safety accidents. In this paper, we present a method of reducing cost for labeling using semi-supervised and transfer model trained on rail fastener data. We use Resnet50 as the backbone network pretrained on ImageNet. At first we randomly take training data from unlabeled data and then labeled that data to train model. After predict unlabeled data by trained model, we adopted a method of adding the data with the highest probability for each class to the training data by a predetermined size. Futhermore, we also conducted some experiments to investigate the influence of the number of initially labeled data. As a result of the experiment, model reaches 92% accuracy which has a performance difference of around 5% compared to supervised learning. This is expected to improve the performance of the classifier by using relatively few labels without additional labeling processes through the proposed method.

A Study on the Operation for Dynamic Bus-Only Hard Shoulder Running on Expressway (고속도로 동적 갓길버스전용차로제 운영방안에 관한 연구)

  • Eon-kyo Shin;Ju-hyun Kim
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.22 no.5
    • /
    • pp.108-126
    • /
    • 2023
  • In this paper, the dynamic hard shoulder running for bus only (HSRFBO) was presented to solve the traffic congestion by increase the capacity in chronic congested sections of highways, and a simulation was performed to evaluate the comparison with the current hard shoulder running for all vehicles(HSRFAV) and median bus only lane and HSR(MBOLHSR). According to the evaluation results, it was evaluated to be more advantageous in terms of traffic flow and safety than the current HSRFAV. In addition, the speed of passing buses is slightly reduced compared to the MBOHSR, but the speed of entering and exiting buses is increased and the speed of buses and cars is greatly improved. Therefore It was analyzed that the efficiency of transport personnel was also improved. In particular, it is expected that traffic flow will be stabilized as the difference in speed between passenger cars and buses will be greatly reduced, and violations of exclusive bus lanes by passenger cars will be greatly reduced. In addition, the operation time of HSR is greatly reduced, so that the original function of the shoulder lane can be maintained as much as possible. As a result, it was analyzed that the risk of accidents was significantly reduced when operating HSRFBO compared to when operating MBOHSR, and cross-conflicts with high accident severity did not occur.

A Case Study on the Management of Food Allergy - Focusing on the case of Children's Foodsevice Operations in Eunpyeong-gu - (식품알레르기 관리방안에 관한 사례연구 - 은평구 어린이급식소 사례를 중심으로 -)

  • Joohee, Han;Hyeri Kim;Jieun Kim;Hailee Hwang;Hayan Hwang;Jiwon Kang;Eunseo Ju;Hyeyeong Hwang;Jinyoung Byun;Jieun Choi;Yujin Park;Jihyun Park;Jina Lee;Wansoo Hong
    • Journal of the FoodService Safety
    • /
    • v.3 no.2
    • /
    • pp.74-77
    • /
    • 2022
  • As the prevalence of food allergies increases, related hazards also increase. Among the victims of accidents, children under the age of 10 accounted for a significant portion, raising the need for management of them. To ensure that children are aware of the risk of food allergy for safe meal service and to prevent problems such as malnutrition and poor growth in growing children, the current status of food allergy is surveyed for teachers and parents of children's catering centers in Eunpyeong-gu, and 1: 1 Specialized projects were carried out to provide customized counseling, educational support, alternative diets, and educational materials. As a result, it was found that the improvement of professionalism of faculty members and parents greatly helped to create an environment in which nutritious meals can be provided safely.

Mean Teacher Learning Structure Optimization for Semantic Segmentation of Crack Detection (균열 탐지의 의미론적 분할을 위한 Mean Teacher 학습 구조 최적화 )

  • Seungbo Shim
    • Journal of the Korea institute for structural maintenance and inspection
    • /
    • v.27 no.5
    • /
    • pp.113-119
    • /
    • 2023
  • Most infrastructure structures were completed during periods of economic growth. The number of infrastructure structures reaching their lifespan is increasing, and the proportion of old structures is gradually increasing. The functions and performance of these structures at the time of design may deteriorate and may even lead to safety accidents. To prevent this repercussion, accurate inspection and appropriate repair are requisite. To this end, demand is increasing for computer vision and deep learning technology to accurately detect even minute cracks. However, deep learning algorithms require a large number of training data. In particular, label images indicating the location of cracks in the image are required. To secure a large number of those label images, a lot of labor and time are consumed. To reduce these costs as well as increase detection accuracy, this study proposed a learning structure based on mean teacher method. This learning structure was trained on a dataset of 900 labeled image dataset and 3000 unlabeled image dataset. The crack detection network model was evaluated on over 300 labeled image dataset, and the detection accuracy recorded a mean intersection over union of 89.23% and an F1 score of 89.12%. Through this experiment, it was confirmed that detection performance was improved compared to supervised learning. It is expected that this proposed method will be used in the future to reduce the cost required to secure label images.

Development of Individual Temporary Equipment Material/Quality/Delivery Management Standards(Guide) for Temporary Equipment Rental Company (가설기자재 임대업체를 위한 개별 가설기자재 자재/품질/납품관리 기준(Guide) 개발)

  • Lee, Junho;Kim, Junsang;Yoou, Geonhee;Cho, Sehyun;Kim, JungYeol;Kim, Youngsuk
    • Korean Journal of Construction Engineering and Management
    • /
    • v.25 no.1
    • /
    • pp.62-72
    • /
    • 2024
  • Due to the distribution structure of domestic temporary equipment, quality control of temporary equipment is essential because more than 80% of temporary equipment is repeated and reused. Due to this importance, the Ministry of Land, Infrastructure and Transport has proposed quality management standards for temporary equipment for 10types of temporary equipments, including steel pipe support, but the overall quality of temporary eqipment cannot be confirmed because the quality is managed through sampling quality tests. In addition, although quality control standards exist for temporary material rental company, practical utilization was investigated and analyzed to be very low as they are mainly presented based on qualitative inspection standards by visual inspection. Therefore, the purpose of this study is to develop individual temporary material/quality/delivery management standards (Guides) for temporary equipment rental company to preemptively secure the quality of temporary equipment before bringing them into the construction site. If the standards developed through this study are applied to domestic temporary equipment rental companies, it is expected that high-quality temporary equipment with secured quality will be brought into the construction site as the quality of temporary equipment quality of domestic medium and small temporary equipment rental companies is improved safety accidents related to temporary structures.

Establishment of Risk Database and Development of Risk Classification System for NATM Tunnel (NATM 터널 공정리스크 데이터베이스 구축 및 리스크 분류체계 개발)

  • Kim, Hyunbee;Karunarathne, Batagalle Vinuri;Kim, ByungSoo
    • Korean Journal of Construction Engineering and Management
    • /
    • v.25 no.1
    • /
    • pp.32-41
    • /
    • 2024
  • In the construction industry, not only safety accidents, but also various complex risks such as construction delays, cost increases, and environmental pollution occur, and management technologies are needed to solve them. Among them, process risk management, which directly affects the project, lacks related information compared to its importance. This study tried to develop a MATM tunnel process risk classification system to solve the difficulty of risk information retrieval due to the use of different classification systems for each project. Risk collection used existing literature review and experience mining techniques, and DB construction utilized the concept of natural language processing. For the structure of the classification system, the existing WBS structure was adopted in consideration of compatibility of data, and an RBS linked to the work species of the WBS was established. As a result of the research, a risk classification system was completed that easily identifies risks by work type and intuitively reveals risk characteristics and risk factors linked to risks. As a result of verifying the usability of the established classification system, it was found that the classification system was effective as risks and risk factors for each work type were easily identified by user input of keywords. Through this study, it is expected to contribute to preventing an increase in cost and construction period by identifying risks according to work types in advance when planning and designing NATM tunnels and establishing countermeasures suitable for those factors.