N. Shanmugasundaram – författare

Recent sensor technologies have spurred innovation across many industries and have been employed worldwide to improve transportation, medical treatment, nanotechnology, mobile devices, virtual and augmented reality, and artificial intelligence. This new volume looks at different aspects and kinds of sensors, such as wearable radio frequency devices, machine learning algorithms for sensors, intelligent monitoring systems using RFID technologies, UV-based control systems, Booth algorithm-based sensors for improved multipliers, sensor data analysis using Arduino, piezoelectric sensor signaling, and more.

Myriad examples of novel applications of sensor technology are presented in different areas, such as

In disaster management, such as for accident detection and rescue systems For development of smart healthcare technology, such as for early prediction of breast cancer, monitoring and gauging of polluted air to alert for asthma triggers In transportation, such as in the development of smart helmets for protective driving, for vehicle-to-vehicle communication for accident prevention, for enabling vehicles to sense rough terrain In urban engineering/smart city management, such as for locating underground cable faults, for sewage surveillance for blockages and hazardous gases and chemical contaminants In agriculture, such as using sensors for agricultural pest control, using IoT for automated drip irrigation For residential and office use, such as for energy management systems, for monitoring ergonomic behaviors

Other chapters present sensor technology for audio- and voice-impaired individuals, for smart shopping using smart trolley, and more.

Offering a plethora of examples of how sensor imaging can be applied for real-time solutions, this volume will provide inspiration for industry professionals and faculty and students in electronics and communication engineering interested in finding solutions to today’s problems using sensor technology.

Recent sensor technologies have spurred innovation across many industries and have been employed worldwide to improve transportation, medical treatment, nanotechnology, mobile devices, virtual and augmented reality, and artificial intelligence. This new volume looks at different aspects and kinds of sensors, such as wearable radio frequency devices, machine learning algorithms for sensors, intelligent monitoring systems using RFID technologies, UV-based control systems, Booth algorithm-based sensors for improved multipliers, sensor data analysis using Arduino, piezoelectric sensor signaling, and more.

Myriad examples of novel applications of sensor technology are presented in different areas, such as

In disaster management, such as for accident detection and rescue systems For development of smart healthcare technology, such as for early prediction of breast cancer, monitoring and gauging of polluted air to alert for asthma triggers In transportation, such as in the development of smart helmets for protective driving, for vehicle-to-vehicle communication for accident prevention, for enabling vehicles to sense rough terrain In urban engineering/smart city management, such as for locating underground cable faults, for sewage surveillance for blockages and hazardous gases and chemical contaminants In agriculture, such as using sensors for agricultural pest control, using IoT for automated drip irrigation For residential and office use, such as for energy management systems, for monitoring ergonomic behaviors

Other chapters present sensor technology for audio- and voice-impaired individuals, for smart shopping using smart trolley, and more.

Offering a plethora of examples of how sensor imaging can be applied for real-time solutions, this volume will provide inspiration for industry professionals and faculty and students in electronics and communication engineering interested in finding solutions to today’s problems using sensor technology.

Recent sensor technologies have spurred innovation across many industries and have been employed worldwide to improve transportation, medical treatment, nanotechnology, mobile devices, virtual and augmented reality, and artificial intelligence. This new volume looks at different aspects and kinds of sensors, such as wearable radio frequency devices, machine learning algorithms for sensors, intelligent monitoring systems using RFID technologies, UV-based control systems, Booth algorithm-based sensors for improved multipliers, sensor data analysis using Arduino, piezoelectric sensor signaling, and more.Myriad examples of novel applications of sensor technology are presented in different areas, such asIn disaster management, such as for accident detection and rescue systemsFor development of smart healthcare technology, such as for early prediction of breast cancer, monitoring and gauging of polluted air to alert for asthma triggersIn transportation, such as in the development of smart helmets for protective driving, for vehicle-to-vehicle communication for accident prevention, for enabling vehicles to sense rough terrainIn urban engineering/smart city management, such as for locating underground cable faults, for sewage surveillance for blockages and hazardous gases and chemical contaminantsIn agriculture, such as using sensors for agricultural pest control, using IoT for automated drip irrigationFor residential and office use, such as for energy management systems, for monitoring ergonomic behaviorsOther chapters present sensor technology for audio- and voice-impaired individuals, for smart shopping using smart trolley, and more.Offering a plethora of examples of how sensor imaging can be applied for real-time solutions, this volume will provide inspiration for industry professionals and faculty and students in electronics and communication engineering interested in finding solutions to today’s problems using sensor technology.