Automatic systems for automative monitoring improve road safety, driver comfort, and occupational health. Prolonged exposure to whole-body vibrations caused by vehicle movement, uneven road surfaces, and engine operation can lead to fatigue, reduced concentration, and long-term musculoskeletal disorders among drivers. Modern monitoring systems use advanced sensors, signal processing techniques, and intelligent algorithms to measure and analyze vibration levels. These systems detect harmful vibration patterns, assess driver exposure, and provide alerts or adaptive adjustments to vehicle settings to reduce physical strain. By integrating technologies like AI, wearable sensors, and Internet of Things (IoT) platforms, automatic vibration monitoring systems contribute to safer driving conditions, enhanced ergonomic design, and improved driver well-being. Automatic Systems for Monitoring Drivers' Vibrations explores the development and application of automated technologies used to detect, measure, and analyze vehicle vibrations. It examines how these systems improve driver safety, comfort, health monitoring, and vehicle performance through data analysis and intelligent response mechanisms. This book covers topics such as machine learning, traffic management, and transportation systems, and is a useful resource for engineers, academicians, researchers, and scientists.
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Ciufudean Calin Horatiu was Associate Professor Ph.D. Eng. “Stefan cel Mare” University of Suceava, Faculty of Electrical Engineering and Computer Science, Department of Computers, Control Systems, and Electronics. - Courses and laboratories: Industrial Control Systems, Reliability and Diagnosis, Discrete Event Systems, Data Acquisition Systems; – Researcher in control systems field, environment and sustainable development; – Researcher in the teams and director of over 34 research projects; – Trainer of student groups for national and international student competitions; – Editor of the Romanian Journal of Ecology; – Author of over 170 scientific papers published in scientific journals and conferences proceedings abroad and in Romania; – Author of 22 books published in Romania and abroad; – Author or co-author of 10 inventions. - Technical Expert of the Romanian Ministry of Justice. - President of the Romanian Society of Electrical & Control Engineering, Suceava Branch. - He is a member of the editorial boards of several international scientific journals and conferences of control systems and electric engineering science. He was designated chairmen and/or key note speaker at 35 international conferences.
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Paperback. Condition: new. Paperback. Automatic systems for automative monitoring improve road safety, driver comfort, and occupational health. Prolonged exposure to whole-body vibrations caused by vehicle movement, uneven road surfaces, and engine operation can lead to fatigue, reduced concentration, and long-term musculoskeletal disorders among drivers. Modern monitoring systems use advanced sensors, signal processing techniques, and intelligent algorithms to measure and analyze vibration levels. These systems detect harmful vibration patterns, assess driver exposure, and provide alerts or adaptive adjustments to vehicle settings to reduce physical strain. By integrating technologies like AI, wearable sensors, and Internet of Things (IoT) platforms, automatic vibration monitoring systems contribute to safer driving conditions, enhanced ergonomic design, and improved driver well-being. Automatic Systems for Monitoring Drivers' Vibrations explores the development and application of automated technologies used to detect, measure, and analyze vehicle vibrations. It examines how these systems improve driver safety, comfort, health monitoring, and vehicle performance through data analysis and intelligent response mechanisms. This book covers topics such as machine learning, traffic management, and transportation systems, and is a useful resource for engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798337389554
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Paperback. Condition: new. Paperback. Automatic systems for automative monitoring improve road safety, driver comfort, and occupational health. Prolonged exposure to whole-body vibrations caused by vehicle movement, uneven road surfaces, and engine operation can lead to fatigue, reduced concentration, and long-term musculoskeletal disorders among drivers. Modern monitoring systems use advanced sensors, signal processing techniques, and intelligent algorithms to measure and analyze vibration levels. These systems detect harmful vibration patterns, assess driver exposure, and provide alerts or adaptive adjustments to vehicle settings to reduce physical strain. By integrating technologies like AI, wearable sensors, and Internet of Things (IoT) platforms, automatic vibration monitoring systems contribute to safer driving conditions, enhanced ergonomic design, and improved driver well-being. Automatic Systems for Monitoring Drivers' Vibrations explores the development and application of automated technologies used to detect, measure, and analyze vehicle vibrations. It examines how these systems improve driver safety, comfort, health monitoring, and vehicle performance through data analysis and intelligent response mechanisms. This book covers topics such as machine learning, traffic management, and transportation systems, and is a useful resource for engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798337389554
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Taschenbuch. Condition: Neu. Automatic Systems for Monitoring Drivers' Vibrations | Calin Ciufudean (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337389554 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 136318487