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Journal articles on the topic 'Intelligent safety'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Vijayabaskar, Dr S., Mr K. Veera Prakash, Mr P. Venugopal, Mr S. Kathirvel, and Mr R. Suryaprakash. "Intelligent Fire Safety Autopilot." International Journal of Research Publication and Reviews 5, no. 11 (2024): 5411–14. https://doi.org/10.55248/gengpi.5.1124.3339.

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Brown, Alan S. "Intelligent Safety." Mechanical Engineering 129, no. 12 (2007): 35–38. http://dx.doi.org/10.1115/1.2007-dec-3.

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The US Department of Transportation announced that it would go beyond active and passive safety systems to mandate the first use of a truly intelligent safety system. The new standard requires automakers to equip all vehicles with electronic stability control, which automatically brakes individual wheels during skids, by September 1, 2011. According to a senior staff member, electronic stability control is probably the most significant automotive safety technology since the seat belt. Electronic stability control combines sophisticated sensors and high-octane computing to take intelligent brak

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Teige, Christian, Alexander Fertig, Berend Denkena, Benjamin Bergmann, and Matthias Weigold. "Intelligente Vernetzung für die Fräsbearbeitung/Intelligent networking for milling processes." wt Werkstattstechnik online 111, no. 01-02 (2021): 14–19. http://dx.doi.org/10.37544/1436-4980-2021-01-02-18.

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Im Forschungsprojekt „TensorMill“ wird die Umsetzung einer intelligent vernetzten autonomen Fertigung von sicherheitsrelevanten Bauteilen in der Luftfahrtindustrie angestrebt. Dabei soll mithilfe von Künstlicher Intelligenz (KI) auf möglichst viele Situationen im Fertigungsprozess reagiert werden. Dies dient dem Ziel, die Produktivität und Prozesssicherheit bei der Herstellung der sicherheitsrelevanten Integralbauteile zu erhöhen. &nbsp; The „TensorMill“ research project aims to implement an intelligently networked autonomous production of safety-relevant components in the aviation industr

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Zhao, Ziming, and Jinyu Chen. "Application of artificial intelligence technology in the economic development of urban intelligent transportation system." PeerJ Computer Science 11 (March 20, 2025): e2728. https://doi.org/10.7717/peerj-cs.2728.

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With the rapid development of the social economy and the gradual improvement of residents’ living standards, the increasing number of urban cars has exacerbated urban traffic congestion. This article analyzed the application of artificial intelligence (AI) technology in five aspects of urban intelligent transportation systems. Artificial intelligence technology was used in traffic data collection and processing to provide accurate data support for traffic decision-making. A traffic flow prediction model was established for traffic flow prediction and optimized scheduling algorithms were used t

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BUITEN, Miriam C. "Towards Intelligent Regulation of Artificial Intelligence." European Journal of Risk Regulation 10, no. 1 (2019): 41–59. http://dx.doi.org/10.1017/err.2019.8.

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Artificial intelligence (AI) is becoming a part of our daily lives at a fast pace, offering myriad benefits for society. At the same time, there is concern about the unpredictability and uncontrollability of AI. In response, legislators and scholars call for more transparency and explainability of AI. This article considers what it would mean to require transparency of AI. It advocates looking beyond the opaque concept of AI, focusing on the concrete risks and biases of its underlying technology: machine-learning algorithms. The article discusses the biases that algorithms may produce through

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Zhang, Wenhui. "Research On the Application of Intelligent Technology in Mining Safety Monitoring." Highlights in Science, Engineering and Technology 106 (July 16, 2024): 565–69. http://dx.doi.org/10.54097/ct50qe50.

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Safe mining of mineral resources is of great practical significance to energy supply, industrial production and social and economic development. With the development of science and technology, mining innovation is the necessary measure and development trend to solve the safety problem. In order to reduce the occurrence of risks, the intelligent mining platform is used to improve the production safety factor of mining. Based on the integration of modern information technology and mining safety, this paper mainly analyzes the application of intelligent mining safety risk technology in the backgr

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Lv, Chengshuang, Jiaojiao Xu, and Caihui Wang. "Intelligent Strategies to Improve Food Safety Supervision Model." International Journal of Education and Humanities 1, no. 1 (2021): 21–27. http://dx.doi.org/10.54097/ijeh.v1i1.197.

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Intelligent supervision effectively deals with food safety problems from four aspects: concept, subject, activity and object. This paper makes a qualitative analysis on the current situation of intelligent supervision of food safety in Beijing, Tianjin and Hebei, compares and studies the intelligent supervision modes of food safety in three coastal areas in eastern China, constructs the analysis framework of intelligent supervision of food safety, and improves the intelligent supervision mode of food safety in Beijing, Tianjin and Hebei. By studying the policy path of intelligent supervision o

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Liu, Runnan, Guangze Liu, Pengfei He, and Xingzhi Lin. "Research on artificial intelligence safety prediction and intervention model based on ship driving habits." MATEC Web of Conferences 355 (2022): 03032. http://dx.doi.org/10.1051/matecconf/202235503032.

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Based on the analysis of the causes of ship accidents, the development prospect and development direction of ship intelligent safe driving, the artificial intelligence safety prediction and intervention model is put forward. This model solves the problem of ship intelligent safety prediction by using intelligent analysis technology and network technology, and promotes the development of ship intelligence and ship safety navigation technology. Additionally, it expands the channels of obtaining information, connects the ship's mechanical and electrical equipment, collects, stores and analyzes th

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Dhotre, Akshay, Ganesh Swami, Sanket Bhave, Siddhant Jinturkar, and A. K. Lohate. "Intelligent Helmet System for Enhanced Rider Safety." International Journal of Research Publication and Reviews 4, no. 6 (2023): 4374–80. http://dx.doi.org/10.55248/gengpi.4.623.47819.

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Li, Lingxu, Mingchang Ma, and Zitong Ma. "Safety Evaluation and Management of Engineering Structures Based on Intelligent Technology." Proceedings of Business and Economic Studies 8, no. 3 (2025): 312–16. https://doi.org/10.26689/pbes.v8i3.11177.

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With the rapid development of science and technology, the application of intelligent technology in the field of civil engineering is more extensive, especially in the safety evaluation and management of engineering structures. This paper discusses the role of intelligent technologies (such as artificial intelligence, Internet of Things, BIM, big data analysis, etc.) in the monitoring, evaluation, and maintenance of engineering structure safety. By studying the principle, application scenarios, and advantages of intelligent technology in structural safety evaluation, this paper summarizes how i

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Ehrlich, Paul R., and Anne H. Ehrlich. "Intelligent planning for safety." Society 27, no. 1 (1989): 15–16. http://dx.doi.org/10.1007/bf02695447.

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Schöneburg, Rodolfo, Frank Buschbeck, Eric Gärtner, et al. "Intelligent Safety Traditionell sicher." Sonderprojekte ATZ/MTZ 21, S1 (2016): 82–91. http://dx.doi.org/10.1007/s41491-016-0527-x.

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Farritor, S. M., and S. Goddard. "Intelligent highway safety markers." IEEE Intelligent Systems 19, no. 6 (2004): 8–11. http://dx.doi.org/10.1109/mis.2004.66.

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Malm, T., and J. Suominen. "Intelligent safety systems provide production adapted safety." Journal of Occupational Accidents 12, no. 1-3 (1990): 150. http://dx.doi.org/10.1016/0376-6349(90)90091-9.

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Bai, Jinyan, Dezhi Zheng, and Chen Jia. "Safety Technology Risks and Countermeasures in the Intelligent Construction of Coal Mines." Geofluids 2022 (May 26, 2022): 1–8. http://dx.doi.org/10.1155/2022/4491044.

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At present, China’s intelligent coal mine construction is still in the primary development stage. The integrated development of a new generation of information and communication technology and the coal industry is accelerating, and this industry’s intelligent green transformation and upgrading is being promoted. With the continuous acceleration of China’s intelligent coal mine construction and the continuous improvement in the degree of coal mine intelligence, system compatibility, information acquisition, and intelligent research have raised awareness of new mining safety risks. Based on the

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Biolcheva, Petya, and Evgeni Valchev. "Safety through Artificial Intelligence in the Maritime Industry." Strategies for Policy in Science and Education-Strategii na Obrazovatelnata i Nauchnata Politika 31, no. 3 (2023): 170–280. http://dx.doi.org/10.53656/str2023-3-3-saf.

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Artificial intelligence is entering the maritime industry at a rapid pace. There is talk about intelligent ships and autonomous solutions. According to the authors of this study, autonomous technologies should be introduced in gradually so as to guarantee peace of mind for marine experts and offer maximum accuracy in their functionalities. The purpose of this paper is to reveal a methodology for intelligent (based on artificial intelligence) safety in the maritime industry. A gradual process has been revealed in which, with the help of various intelligent tools, multi-faceted analyzes can be c

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Liu, Yang, and Jiankun Li. "Runtime Verification-Based Safe MARL for Optimized Safety Policy Generation for Multi-Robot Systems." Big Data and Cognitive Computing 8, no. 5 (2024): 49. http://dx.doi.org/10.3390/bdcc8050049.

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The intelligent warehouse is a modern logistics management system that uses technologies like the Internet of Things, robots, and artificial intelligence to realize automated management and optimize warehousing operations. The multi-robot system (MRS) is an important carrier for implementing an intelligent warehouse, which completes various tasks in the warehouse through cooperation and coordination between robots. As an extension of reinforcement learning and a kind of swarm intelligence, MARL (multi-agent reinforcement learning) can effectively create the multi-robot systems in intelligent w

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Li, Xiaoxuan, Danfei Liu, Yumei Pu, and Yunfei Zhong. "Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness." Foods 12, no. 15 (2023): 2976. http://dx.doi.org/10.3390/foods12152976.

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Food safety is a pressing concern for human society, as it directly impacts people’s lives, while food freshness serves as one of the most crucial indicators in ensuring food safety. There exist diverse techniques for monitoring food freshness, among which intelligent packaging based on artificial intelligence technology boasts the advantages of low cost, high efficiency, fast speed and wide applicability; however, it is currently underutilized. By analyzing the current research status of intelligent packaging both domestically and internationally, this paper provides a clear classification of

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Liu, Zhansheng, Guoliang Shi, Anshan Zhang, and Chun Huang. "Intelligent Tensioning Method for Prestressed Cables Based on Digital Twins and Artificial Intelligence." Sensors 20, no. 24 (2020): 7006. http://dx.doi.org/10.3390/s20247006.

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In this study, to address the problems of multiple dimensions, large scales, complex tension resource scheduling, and strict quality control requirements in the tensioning process of cables in prestressed steel structures, the technical characteristics of digital twins (DTs) and artificial intelligence (AI) are analyzed. An intelligent tensioning of prestressed cables method driven by the integration of DTs and AI is proposed. Based on the current research status of cable tensioning and DTs, combined with the goal of intelligent tensioning, a fusion mechanism for DTs and AI is established and

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Fausten, Michael, Reiner Marchthaler, and Annett Fischer. "Intelligent Networking for More Safety." ATZautotechnology 7, no. 6 (2007): 46–49. http://dx.doi.org/10.1007/bf03247024.

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ja, C. V. Ro, R. Reva thi, R. Shilba Shantha kumari, Battula Aswini, and U. Vasu devan. "Intelligent Safety using Smart Blackbox." International Journal of Electronics and Communication Engineering 5, no. 3 (2018): 5–9. http://dx.doi.org/10.14445/23488549/ijece-v5i3p102.

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Aldas, Milton, Marco Flores, Alex Frias, and Rodrigo Acosta. "Intelligent systems for vehicle safety." Medwave 23, S1 (2023): eUTA371. http://dx.doi.org/10.5867/medwave.2023.s1.uta371.

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Introducción Las señales de tráfico son signos, de colores llamativos y de fácil compresión, que se encuentran sobre la infraestructura vial, urbana, rural y de autopistas, que han sido diseñados para regular el tráfico, evitar accidentes y proveer de informaciónútil a los usuarios viales; en especial, a los conductores y peatones. Según las estadísticas de la Organización Mundial de la Salud (OMS), los accidentes de tráfico se encuentran entre las veinte principales causas de muerte a nivel mundial, con el 2, 4 % del total de muertes, siendo la falta de concentración frente al volante o el co

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Pempho, Joakim Banda, and Mulepa Joel. "Intelligent child monitoring safety system." i-manager's Journal on Mobile Applications and Technologies 10, no. 2 (2023): 10. http://dx.doi.org/10.26634/jmt.10.2.20238.

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Child safety and tracking are of utmost importance, as children are the most vulnerable. With increasing crime rates, such as child kidnapping and child trafficking, the need for a smart security app has become a necessity. With this motivation, a self-alerting “Intelligent Child Monitoring Safety System” is developed to aid parents in monitoring and tracking their children in real time as an alternative to staying beside them. This system is intended as an everyday wearable device for the child, in the form of a wrist band, hand glove, arm band, belt, or even a smart phone. The app is designe

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Novikov, Alexander Nikolaevich, Lei Huang, Anastasia Alexandrovna Feofilova, and Nikolai Sergeevich Lubimii. "INTELLIGENT TRANSPORT IN IMPROVING ROAD SAFETY." World of transport and technological machines 87, no. 4-2 (2024): 101–8. https://doi.org/10.33979/2073-7432-2024-4-2(87)-101-108.

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The development of intelligent road transport is a promising trend in the evolution of transport systems aimed at improving road safety and reducing the number of road accidents. The introduction of artificial intelligence technologies, sensors and machine vision systems allows autonomous vehicles to adapt quickly to changes in the road environment, minimising the likelihood of human error. These advanced technologies enable continuous and highly accurate control, including adaptive acceleration, braking and manoeuvring, significantly reducing the risk of collisions and improving overall road

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Wang, Biyao, Yi Han, Di Tian, and Tian Guan. "Sensor-Based Environmental Perception Technology for Intelligent Vehicles." Journal of Sensors 2021 (September 2, 2021): 1–14. http://dx.doi.org/10.1155/2021/8199361.

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Environmental perception technology is the basis and premise of intelligent vehicle decision control of intelligent vehicles, a crucial link of intelligent vehicles to realize intelligence, and also the basic guarantee of its safety and intelligence. The accuracy and robustness of the perception algorithm will directly affect or even determine the realization of the upper function of intelligent vehicles. The wrong environmental perception will affect the control of the vehicle, thus causing safety risks. This paper discusses the intelligent vehicle perception technology and introduces the dev

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Ma, Hongtao, Hongsheng Guo, and Luyao Li. "Design and Implementation of Mobile Intelligent Hidden Danger Inspection System." Modern Electronic Technology 5, no. 1 (2021): 15. http://dx.doi.org/10.26549/met.v5i1.6500.

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With the increasing development of Internet technology, computer Internet, intelligent terminal, cloud computing and other new technologies continue to emerge. All kinds of app based on mobile intelligent terminal are widely used because of its convenience and intelligence. However, for the safety of the coal industry, how to use these technologies based on mobile intelligent terminal to establish a set of efficient long-term mechanism of safety inspection and risk control is a necessary method to upgrade the safety management mode. Therefore, in order to meet the requirements of hidden danger

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Zhu, Haoliang, and Yousong Wang. "Intelligent Prediction of Prestressed Steel Structure Construction Safety Based on BP Neural Network." Applied Sciences 12, no. 3 (2022): 1442. http://dx.doi.org/10.3390/app12031442.

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In the construction process of a prestressed steel structure, it is a point of research interest to obtain the safety state of the structure according to the design parameters and working conditions of the structure. The intelligent prediction of structural construction safety provides the basis for safety control. This study proposes an intelligent prediction method of structural construction safety based on a back propagation (BP) neural network. Firstly, the correlation mechanism of structural construction safety performance parameters is established, which involves structural design parame

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H, Patel Hanil, Vasava Vandana M, Parmarth Rajveer D, et al. "Intelligent Transportation System: Enhancing Traffic Management and Road Safety." International Journal of Research Publication and Reviews 4, no. 9 (2023): 1185–93. http://dx.doi.org/10.55248/gengpi.4.923.52847.

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Maduabuchi, Emeka. "Artificial Intelligence (AI) Application in Process Safety Cumulative Risk Visualization for Petroleum Operations: Conceptual Framework." International Journal of Engineering and Advanced Technology Studies 12, no. 1 (2024): 33–49. http://dx.doi.org/10.37745/ijeats.13/vol12n13349.

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One of the key challenges in preventing major process safety accidents in an operating plant is the lack of an integrated system/model that brings together the risks posed by the deficiencies / deviations on the safety critical barriers, for operational decision making. Based on this context, a model/framework was developed for assessing and visualizing the accumulation of process safety risks arising from safety critical barriers impairments in petroleum facilities in Niger-Delta Nigeria. Based on the review of the model, the need for an intelligent web-based software was identified. An explo

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Meenu Seth. "Enhancing modern aviation systems through systems engineering principles and emerging technologies." International Journal of Science and Research Archive 13, no. 2 (2024): 3477–80. https://doi.org/10.30574/ijsra.2024.13.2.2588.

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Modern aviation systems are at the forefront of technological innovation, integrating systems engineering principles to optimize design, efficiency, and safety. This paper explores the research question: "How can systems engineering principles enhance the design, efficiency, and safety of modern aviation systems, from airfoil optimization to intelligent flight management systems?" It delves into the synergistic impact of systems engineering, artificial intelligence (AI), adaptive engineering, and collaborative frameworks on aviation. Key focus areas include airfoil optimization, intelligent fl

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Kumari, Diksha. "Advancements in Intelligent Video Surveillance for Public Safety: A Comprehensive Review." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 4534–38. http://dx.doi.org/10.22214/ijraset.2024.61041.

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Abstract: Intelligent video surveillance systems have emerged as invaluable tools for ensuring public safety in a variety of settings, from essential infrastructure to urban environments. These systems, which are driven by state-of-the-art technology like computer vision, machine learning, and artificial intelligence, provide unmatched real-time threat detection, analysis, and response capabilities. This study provides an in-depth analysis of the most recent developments in intelligent video surveillance for public safety, covering key technology, useful uses, enduring difficulties, and potent

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Zhu, Haoliang, and Yousong Wang. "Key Component Capture and Safety Intelligent Analysis of Beam String Structure Based on Digital Twins." Symmetry 14, no. 6 (2022): 1152. http://dx.doi.org/10.3390/sym14061152.

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In the construction process of beam string structures, the environmental effect and corresponding mechanical properties of the structure are complex. The problem of the misjudgment of structural safety performance caused by the uncertainty of a structural mechanical parameter analysis under various factors needs to be solved. In this study, a method for capturing key components and an intelligent safety analysis of beam string structures based on digital twins (DTs) was proposed. Combined with the characteristics of DTs mapping feedback, a component capture and security analysis framework was

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Qiang, Xingbang, Guoqing Li, Jie Hou, Xia Zhang, and Yujia Liu. "Intelligent Safety Risk Analysis and Decision-Making System for Underground Metal Mines Based on Big Data." Sustainability 15, no. 13 (2023): 10086. http://dx.doi.org/10.3390/su151310086.

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In view of the new situation faced by safety risk management in underground metal mines, based on a comprehensive analysis of the current situation of mine safety management business and system construction requirements, the main functional modules, overall architecture, and data interaction mode of the intelligent safety risk analysis and decision-making system were analyzed and designed. On the basis of elaborating the implementation process of the main functional modules of the system, such as multi-source safety information collection and governance, and safety risk intelligence analysis a

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Török, Árpád, and Gábor Pauer. "Road safety ranking of intelligent transport systems." Statisztikai Szemle 94, no. 4 (2016): 418–34. http://dx.doi.org/10.20311/stat2016.04.hu0418.

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Tognacca, Roberto. "Intelligent Synergy." Traffic Technology International 2024, no. 1 (2024): 116–17. http://dx.doi.org/10.12968/s1356-9252(24)40054-3.

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Zhu, Haoliang, and Yousong Wang. "Intelligent Analysis for Safety-Influencing Factors of Prestressed Steel Structures Based on Digital Twins and Random Forest." Metals 12, no. 4 (2022): 646. http://dx.doi.org/10.3390/met12040646.

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The structure of a prestressed steel structure is complex, which can result in insufficient control accuracy and the low efficiency of the structural safety. The traditional analysis method only obtains the mechanical parameters of the structure and it cannot obtain the key factors that affect the structural safety. In order to improve the intelligence level of the structural safety performance analysis, this study proposes an intelligent analysis for the safety-influencing factors of prestressed steel structures that is based on digital twins (DTs) and random forest (RF). Firstly, the high-pr

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Li, Ping, Mengqi Zhou, and Ruchu Zhang. "Research on the Development Trend of Intelligent Circuit Breaker in Building Installation." Academic Journal of Science and Technology 12, no. 2 (2024): 67–71. http://dx.doi.org/10.54097/ffs6wb97.

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With the continuous progress of science and technology, intelligent circuit breakers are more and more widely used in building installation. Today, the construction industry on the safety, stability and intelligence of the electrical system requirements continue to improve, intelligent circuit breakers with its advanced technology and superior performance, has become a key equipment in the field of building installation. This paper discusses the development trend of intelligent circuit breaker in building installation. The continuous improvement of the level of intelligence means that it will

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Gong, Guilin, Shaowu Zeng, Jingjing Gao, Qingliang Zhang, and Xinli Wang. "Discovery and Discrimination of Bridge Engineering Safety Issues by BIM Virtual Scene Combined with Robotic Mapping." Journal of Robotics 2023 (April 22, 2023): 1–12. http://dx.doi.org/10.1155/2023/3028505.

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All along, safety accidents in the field of bridge construction have continued to arise, costing society's development financial and material resources and taking away people’s personal safety, turning into an urgent need for safety managers in the field to solve the subject research. Researchers look forward to continued innovative exploration to find new ways of working safely and using them in the construction industry. On this basis, BIM virtual scenes are introduced to create a universal scene specification dataset in the field of bridge construction and a dataset of unsafe potential haza

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Zang, Chunjian, Shaoyi Guo, and Haoran Wang. "Research on Intelligent Ship Path Planning Method." Scientific Journal of Technology 7, no. 2 (2025): 1–6. https://doi.org/10.54691/da82b115.

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With the rapid development of science and technology, the shipbuilding industry has ushered in an information revolution, and the level of ship intelligence is increasing day by day. Intelligent ships bring new opportunities and challenges to the development of the shipbuilding industry. Intelligent navigation is one of the core technologies that constitute intelligent ships. It achieves autonomous navigation, path optimization, and real-time decision-making for ships by integrating advanced sensors, data processing, and artificial intelligence algorithms, thereby improving navigation efficien

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Megha, Sutar, and Ghewari M.U. "Intelligent Safety System for Women Security." IARJSET 4, no. 2 (2017): 67–69. http://dx.doi.org/10.17148/iarjset/ncetete.2017.21.

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R. "Intelligent Model for Traffic Safety Applications." Journal of Computer Science 8, no. 3 (2012): 358–65. http://dx.doi.org/10.3844/jcssp.2012.358.365.

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Li, Ya, Jian-xun Zhang, and Zhao-hui Xiao. "Rocket Safety Control Intelligent Decision System." International Journal of Security and Its Applications 9, no. 8 (2015): 55–66. http://dx.doi.org/10.14257/ijsia.2015.9.8.06.

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Wang, Wuhong, Klaus Bengler, Geert Wets, Yongjun Shen, and Xiaobei Jiang. "Green Intelligent Transportation System and Safety." Procedia Engineering 137 (2016): 11–12. http://dx.doi.org/10.1016/j.proeng.2016.01.227.

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Ostrowska, Martyna. "Intelligent transport systems vs. drivers’ safety." Occupational Safety – Science and Practice 559, no. 4 (2018): 21–23. http://dx.doi.org/10.5604/01.3001.0011.7572.

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Contemporary transport systems do not meet either the expectations or the needs of their users. Hence the search for new, innovative traffic management methods, which would improve traffic safety. This article discusses the definition and impact on the safety of drivers, including professional ones, of a promising idea, namely, intelligent transport systems (ITS).

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Hannan, M. A., A. Hussain, A. Mohamed, S. A. Samad, and H. Basri. "TPMS for Intelligent Vehicle Safety Application." HKIE Transactions 16, no. 2 (2009): 46–51. http://dx.doi.org/10.1080/1023697x.2009.10668157.

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Kowshik, Hemant, Derek Caveney, and P. R. Kumar. "Provable Systemwide Safety in Intelligent Intersections." IEEE Transactions on Vehicular Technology 60, no. 3 (2011): 804–18. http://dx.doi.org/10.1109/tvt.2011.2107584.

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Kim, Yong-Ho, and Jeon-Il Kim. "Intersection Intelligent Traffic Safety Control System." Journal of Startup Convergence & Consulting 2, no. 4 (2023): 1–7. http://dx.doi.org/10.56165/kosc.2023.2.4.001.

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Madhuri, Mrs P., Lakshmi Raja Vaisali Marepalli, Konakanchi Sri Radha Madhavi, Boga Sneha Sri, and Mandala Akshethra. "Intelligent Helmet for Bike Rider’s Safety." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 1770–77. http://dx.doi.org/10.22214/ijraset.2024.60162.

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Abstract: The intelligent helmet introduced in the paper aims to bolster rider safety, especially in areas like India with high rates of motorcycle accidents. By incorporating features like alcohol detection and accident identification, it addresses common causes of accidents such as driver negligence or impairment. Integrated with the bike's ignition system, it prevents ignition activation if the rider is intoxicated, thus averting potential accidents. In case of an accident, the helmet autonomously alerts registered numbers or authorities, providing precise GPS location data for swift respon

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Xin, Chang, Zang Bo, Wang Yang, Xu Wenhao, and Liu Kuang. "Application of Intelligent Inspection Units in Improving the Safety of Large Thermal Test Systems." Journal of Physics: Conference Series 2460, no. 1 (2023): 012172. http://dx.doi.org/10.1088/1742-6596/2460/1/012172.

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Abstract:

Abstract To ensure the success of space launch, large-scale thermal testing at the ground system level must be conducted for spacecraft products to verify their design, performance and quality. Such tests have the characteristics of high technical difficulty, high safety risks, complex supporting equipment, and long test cycles. So it is of great significance to improve the safety and reliability of large thermal test systems to ensure successful verifications of the spacecrafts. This paper focuses on the application of integrating artificial intelligence technology with the safety of large th

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Arthi, R., D. Manoj Kumar, C. Aravindan, and G. Vinoth Kumar. "An Intelligent Quad Level Digital Lock System for Safety Vaults." Indian Journal Of Science And Technology 16, no. 38 (2023): 3195–204. http://dx.doi.org/10.17485/ijst/v16i38.1590.

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