Technologies for Smart Sensors and Sensor Fusion
Technologies for Smart Sensors and Sensor Fusion

Author: Kevin Yallup

Publisher: CRC Press

Published: 2014-04-14

Total Pages: 492

ISBN-13: 1466595507

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Exciting new developments are enabling sensors to go beyond the realm of simple sensing of movement or capture of images to deliver information such as location in a built environment, the sense of touch, and the presence of chemicals. These sensors unlock the potential for smarter systems, allowing machines to interact with the world around them in more intelligent and sophisticated ways. Featuring contributions from authors working at the leading edge of sensor technology, Technologies for Smart Sensors and Sensor Fusion showcases the latest advancements in sensors with biotechnology, medical science, chemical detection, environmental monitoring, automotive, and industrial applications. This valuable reference describes the increasingly varied number of sensors that can be integrated into arrays, and examines the growing availability and computational power of communication devices that support the algorithms needed to reduce the raw sensor data from multiple sensors and convert it into the information needed by the sensor array to enable rapid transmission of the results to the required point. Using both SI and US units, the text: Provides a fundamental and analytical understanding of the underlying technology for smart sensors Discusses groundbreaking software and sensor systems as well as key issues surrounding sensor fusion Exemplifies the richness and diversity of development work in the world of smart sensors and sensor fusion Offering fresh insight into the sensors of the future, Technologies for Smart Sensors and Sensor Fusion not only exposes readers to trends but also inspires innovation in smart sensor and sensor system development.

Technologies for Smart Sensors and Sensor Fusion
Technologies for Smart Sensors and Sensor Fusion

Author: Kevin Yallup

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 491

ISBN-13: 1466595515

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Exciting new developments are enabling sensors to go beyond the realm of simple sensing of movement or capture of images to deliver information such as location in a built environment, the sense of touch, and the presence of chemicals. These sensors unlock the potential for smarter systems, allowing machines to interact with the world around them in more intelligent and sophisticated ways. Featuring contributions from authors working at the leading edge of sensor technology, Technologies for Smart Sensors and Sensor Fusion showcases the latest advancements in sensors with biotechnology, medical science, chemical detection, environmental monitoring, automotive, and industrial applications. This valuable reference describes the increasingly varied number of sensors that can be integrated into arrays, and examines the growing availability and computational power of communication devices that support the algorithms needed to reduce the raw sensor data from multiple sensors and convert it into the information needed by the sensor array to enable rapid transmission of the results to the required point. Using both SI and US units, the text: Provides a fundamental and analytical understanding of the underlying technology for smart sensors Discusses groundbreaking software and sensor systems as well as key issues surrounding sensor fusion Exemplifies the richness and diversity of development work in the world of smart sensors and sensor fusion Offering fresh insight into the sensors of the future, Technologies for Smart Sensors and Sensor Fusion not only exposes readers to trends but also inspires innovation in smart sensor and sensor system development.

Smart Sensing Technology for Agriculture and Environmental Monitoring
Smart Sensing Technology for Agriculture and Environmental Monitoring

Author: Subhas Chandra Mukhopadhyay

Publisher: Springer Science & Business Media

Published: 2012-02-06

Total Pages: 392

ISBN-13: 3642276385

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The book focuses on the different aspects of sensing technology, i.e. high reliability, adaptability, recalibration, information processing, data fusion, validation and integration of novel and high performance sensors specifically aims to monitor agricultural and environmental parameters. This book is dedicated to Sensing systems for Agricultural and Environmental Monitoring offers to variety of users, namely, Master and PhD degree students, researchers, practitioners, especially Agriculture and Environmental engineers. The book will provide an opportunity of a dedicated and a deep approach in order to improve their knowledge in this specific field.

Understanding Smart Sensors
Understanding Smart Sensors

Author: Randy Frank

Publisher: Artech House Publishers

Published: 1996

Total Pages: 296

ISBN-13:

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"Two of the most important trends in sensor development in recent years have been advances in micromachined sensing elements of all kinds, and the increase in intelligence applied at the sensor level. This book addresses both, and provides a good overview of current technology". -- I&CS

Smart Sensors and Devices in Artificial Intelligence
Smart Sensors and Devices in Artificial Intelligence

Author: Dan Zhang

Publisher: MDPI

Published: 2021-04-07

Total Pages: 336

ISBN-13: 3039436694

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Sensors are the eyes or/and ears of an intelligent system, such as UAV, AGV and robots. With the development of material, signal processing, and multidisciplinary interactions, more and more smart sensors are proposed and fabricated under increasing demands for homes, the industry, and military fields. Networks of sensors will be able to enhance the ability to obtain huge amounts of information (big data) and improve precision, which also mirrors the developmental tendency of modern sensors. Moreover, artificial intelligence is a novel impetus for sensors and networks, which gets sensors to learn and think and feed more efficient results back. This book includes new research results from academia and industry, on the subject of “Smart Sensors and Networks”, especially sensing technologies utilizing Artificial Intelligence. The topics include: smart sensors biosensors sensor network sensor data fusion artificial intelligence deep learning mechatronics devices for sensors applications of sensors for robotics and mechatronics devices

AIoT and Smart Sensing Technologies for Smart Devices
AIoT and Smart Sensing Technologies for Smart Devices

Author: Al-Turjman, Fadi

Publisher: IGI Global

Published: 2024-02-07

Total Pages: 266

ISBN-13:

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The rapid advancement of IoT and smart technologies poses significant challenges for academic scholars, including meeting new requirements such as reliability, quality of service, and energy efficiency. AIoT and Smart Sensing Technologies for Smart Devices, edited by Fadi ALTURJMAN, offers an invaluable solution by serving as a knowledge hub that brings together diverse research and professional contributions. This comprehensive book enables scholars to delve into topics like IoT-oriented applications, sustainable development, machine learning, and wireless networks, providing the necessary insights to navigate the complexities of IoT and smart technologies. Targeted at experts, researchers, and students, this book equips readers with the understanding needed to tackle the challenges in this dynamic field. Covering areas such as IoT paradigms, network security, machine learning approaches, and wireless network protocols, it serves as a guide for unlocking the potential of AIoT. With this resource, scholars can stay informed, explore innovative approaches, and actively contribute to the advancement of AIoT and smart technologies, making it a compelling solution for those grappling with the complexities of this transformative field.

Multisensor Data Fusion
Multisensor Data Fusion

Author: Hassen Fourati

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 628

ISBN-13: 1351830880

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Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.

Intelligent Pervasive Computing Systems for Smarter Healthcare
Intelligent Pervasive Computing Systems for Smarter Healthcare

Author: Arun Kumar Sangaiah

Publisher: John Wiley & Sons

Published: 2019-06-21

Total Pages: 432

ISBN-13: 1119439019

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A guide to intelligent decision and pervasive computing paradigms for healthcare analytics systems with a focus on the use of bio-sensors Intelligent Pervasive Computing Systems for Smarter Healthcare describes the innovations in healthcare made possible by computing through bio-sensors. The pervasive computing paradigm offers tremendous advantages in diversified areas of healthcare research and technology. The authors—noted experts in the field—provide the state-of-the-art intelligence paradigm that enables optimization of medical assessment for a healthy, authentic, safer, and more productive environment. Today’s computers are integrated through bio-sensors and generate a huge amount of information that can enhance our ability to process enormous bio-informatics data that can be transformed into meaningful medical knowledge and help with diagnosis, monitoring and tracking health issues, clinical decision making, early detection of infectious disease prevention, and rapid analysis of health hazards. The text examines a wealth of topics such as the design and development of pervasive healthcare technologies, data modeling and information management, wearable biosensors and their systems, and more. This important resource: Explores the recent trends and developments in computing through bio-sensors and its technological applications Contains a review of biosensors and sensor systems and networks for mobile health monitoring Offers an opportunity for readers to examine the concepts and future outlook of intelligence on healthcare systems incorporating biosensor applications Includes information on privacy and security issues on wireless body area network for remote healthcare monitoring Written for scientists and application developers and professionals in related fields, Intelligent Pervasive Computing Systems for Smarter Healthcare is a guide to the most recent developments in intelligent computer systems that are applicable to the healthcare industry.

Smart Sensors and Systems
Smart Sensors and Systems

Author: Youn-Long Lin

Publisher: Springer

Published: 2015-07-13

Total Pages: 465

ISBN-13: 3319147110

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This book describes for readers technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of the Internet of Things (IoTs). The authors provide a multidisciplinary view of sensor technology from MEMS, biological, chemical, and electrical domains and showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc. Unlike earlier books on sensors, this book provides a “global” view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms.

Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing
Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Author: Ni-Bin Chang

Publisher: CRC Press

Published: 2018-02-21

Total Pages: 627

ISBN-13: 1351650637

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In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.