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Nature-Inspired Sensors

Author : Hossam Haick

Publisher : Elsevier

Page : 1191 pages

File Size : 49,20 MB

Release : 2024-10-24

Category : Science

ISBN : 0443156859

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Book Description

Nature-Inspired Sensors presents and discusses the basic principles and latest developments in nature-inspired sensing and biosensing materials, along with the design and mechanisms for analyzing their potential in multifunctional sensing applications. Sections provide a comprehensive review of certain fundamental mechanisms in different living creatures including humans, animals, and plants. In addition, the book presents and discusses ways for imitating various nature-inspired structural features and their functional properties such as hierarchical, interlocked, porous, bristle-like structures, and hetero-layered brick-and-mortar structures. Sections also highlight the utility of these structures and their properties for sensing functions, which include static coloration, self-cleaning, adhesive, underwater navigation and object detection, electric charge generation, and sensitive olfactory functions for detecting various substances. This is followed by an appraisal of accumulating knowledge and its translation from the laboratory to the point-of-care phase, using selective sensors as well as desktop and wearable artificial sensing devices, e.g., electronic noses and electronic skins, in conjunction with AI-assisted data processing and decision-making in the targeted field of application. - Discusses current strategies for fabricating nature-derived bio/chemical sensors - Presents ways to apply nature-derived bio/chemical sensors in real life - Discusses the future of nature derived bio/chemical sensors



Nature Inspired Computing for Wireless Sensor Networks

Author : Debashis De

Publisher : Springer Nature

Page : 346 pages

File Size : 20,76 MB

Release : 2020-02-01

Category : Technology & Engineering

ISBN : 9811521255

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Book Description

This book presents nature inspired computing applications for the wireless sensor network (WSN). Although the use of WSN is increasing rapidly, it has a number of limitations in the context of battery issue, distraction, low communication speed, and security. This means there is a need for innovative intelligent algorithms to address these issues.The book is divided into three sections and also includes an introductory chapter providing an overview of WSN and its various applications and algorithms as well as the associated challenges. Section 1 describes bio-inspired optimization algorithms, such as genetic algorithms (GA), artificial neural networks (ANN) and artificial immune systems (AIS) in the contexts of fault analysis and diagnosis, and traffic management. Section 2 highlights swarm optimization techniques, such as African buffalo optimization (ABO), particle swarm optimization (PSO), and modified swarm intelligence technique for solving the problems of routing, network parameters optimization, and energy estimation. Lastly, Section 3 explores multi-objective optimization techniques using GA, PSO, ANN, teaching–learning-based optimization (TLBO), and combinations of the algorithms presented. As such, the book provides efficient and optimal solutions for WSN problems based on nature-inspired algorithms.



Nature-Inspired Algorithms for Big Data Frameworks

Author : Banati, Hema

Publisher : IGI Global

Page : 435 pages

File Size : 32,97 MB

Release : 2018-09-28

Category : Computers

ISBN : 1522558535

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Book Description

As technology continues to become more sophisticated, mimicking natural processes and phenomena becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Algorithms for Big Data Frameworks is a collection of innovative research on the methods and applications of extracting meaningful information from data using algorithms that are capable of handling the constraints of processing time, memory usage, and the dynamic and unstructured nature of data. Highlighting a range of topics including genetic algorithms, data classification, and wireless sensor networks, this book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the application of nature and biologically inspired algorithms for handling challenges posed by big data in diverse environments.



Nature Inspired Robotics

Author : Jagjit Singh Dhatterwal

Publisher : CRC Press

Page : 341 pages

File Size : 44,58 MB

Release : 2024-07-24

Category : Technology & Engineering

ISBN : 104008818X

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Book Description

This book introduces the theories and methods of Nature-Inspired Robotics in artificial intelligence. Software and hardware technologies, alongside theories and methods, illustrate the application of bio-inspired artificial intelligence. It includes discussions on topics such as Robot Control Manipulators, Geometric Transformation, Robotic Drive Systems and Nature Inspired Robotic Neural System. Elaborating upon recent progress made in five distinct configurations of nature-inspired computing, it explores the potential applications of this technology in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. · Discusses advances in cutting-edge technology in brain-inspired computing, perception technologies and aspects of neuromorphic electronics · Offers a thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms · Provides comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviours · Includes cognitive behaviour of Inspired Robotics and cognitive technologies with applications in Artificial Intelligence · Contains practical discussions of neuromorphic devices based on chalcogenide and organic materials. This text acts as a reference book for students, scholars, and industry professionals.



Nature-Inspired Computation in Engineering

Author : Xin-She Yang

Publisher : Springer

Page : 282 pages

File Size : 29,12 MB

Release : 2016-03-19

Category : Technology & Engineering

ISBN : 3319302353

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Book Description

This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.



Nature-Inspired Computing Applications in Advanced Communication Networks

Author : Gupta, Govind P.

Publisher : IGI Global

Page : 319 pages

File Size : 14,99 MB

Release : 2019-12-27

Category : Computers

ISBN : 1799816281

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Book Description

With the rapid growth of technology in society, communication networks have become a heavily researched topic. Implementing these advanced systems is a challenge, however, due to the abundance of optimization problems within these networks. The use of meta-heuristic algorithms and nature-inspired computing has become a prevalent technique among researchers for solving these complex problems within communication networks. Despite its popularity, this specific computing technique lacks the appropriate amount of research that is needed for professionals to grasp a definite understanding. Nature-Inspired Computing Applications in Advanced Communication Networks is a collection of innovative research on the methods and applications of natural computation techniques and algorithms within communication systems such as wireless sensor networks, vehicular adhoc networks, and internet of things. While highlighting topics including mobile sensor deployment, routing optimization, and sleep scheduling, this book is ideally designed for researchers, network professionals, computer scientists, mathematicians, developers, scholars, educators, and students seeking to enhance their understanding of nature-inspired computing and its solutions within various advanced communication networks.



Advances in Nature-Inspired Computing and Applications

Author : Shishir Kumar Shandilya

Publisher : Springer

Page : 355 pages

File Size : 35,46 MB

Release : 2018-08-29

Category : Technology & Engineering

ISBN : 3319964518

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Book Description

This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing.



Biomedical Sensors

Author : Deric P. Jones

Publisher : Momentum Press

Page : 482 pages

File Size : 49,98 MB

Release : 2010

Category : Medical

ISBN : 1606500562

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Book Description

Sensors are the eyes, ears, and more, of the modern engineered product or system- including the living human organism. This authoritative reference work, part of Momentum Press's new Sensors Technology series, edited by noted sensors expert, Dr. Joe Watson, will offer a complete review of all sensors and their associated instrumentation systems now commonly used in modern medicine. Readers will find invaluable data and guidance on a wide variety of sensors used in biomedical applications, from fluid flow sensors, to pressure sensors, to chemical analysis sensors. New developments in biomaterials- based sensors that mimic natural bio-systems will be covered as well. Also featured will be ample references throughout, along with a useful Glossary and symbols list, as well as convenient conversion tables.



Self-Powered and Soft Polymer MEMS/NEMS Devices

Author : Ajay Giri Prakash Kottapalli

Publisher : Springer

Page : 94 pages

File Size : 50,79 MB

Release : 2019-02-28

Category : Technology & Engineering

ISBN : 303005554X

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Book Description

This book explores the fabrication of soft material and biomimetic MEMS sensors, presents a review of MEMS/NEMS energy harvesters and self-powered sensors, and focuses on the recent efforts in developing flexible and wearable piezoelectric nanogenerators. It also includes a critical analysis of various energy harvesting principles, such as electromagnetic, piezoelectric, electrostatic, triboelectric, and magnetostrictive. This multidisciplinary book is appropriate for students and professionals in the fields of material science, mechanical engineering, electrical engineering, and bioengineering.



Nature-Inspired Structured Functional Surfaces

Author : Zhiwu Han

Publisher : John Wiley & Sons

Page : 324 pages

File Size : 24,35 MB

Release : 2022-07-19

Category : Science

ISBN : 3527836551

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Book Description

Gives a comprehensive description on the biological model, basic physical models, fabrication/characterization of bioinspired materials and their functions.