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Author: Banati, Hema
Publisher: IGI Global
ISBN: 1522558535
Category : Computers
Languages : en
Pages : 435
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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.
Author: Banati, Hema
Publisher: IGI Global
ISBN: 1522558535
Category : Computers
Languages : en
Pages : 435
Get Book Here
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.
Author: Subhas Chandra Mukhopadhyay
Publisher: Springer
ISBN: 3319995405
Category : Technology & Engineering
Languages : en
Pages : 425
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Book Description
This book provides an overview of modern sensing technologies and reflects the remarkable advances that have been made in the field of intelligent and smart sensors, environmental monitoring, health monitoring, and many other sensing and monitoring contexts in today’s world. It addresses a broad range of aspects, from human health monitoring to the monitoring of environmental conditions, from wireless sensor networks and the Internet of Things to structural health monitoring. Given its breadth of scope, the book will benefit researchers, practitioners, technologists and graduate students involved in the monitoring of systems within the human body, functions and activities, healthcare technologies and services, the environment, etc.
Author: Ajay Giri Prakash Kottapalli
Publisher: Springer
ISBN: 303005554X
Category : Technology & Engineering
Languages : en
Pages : 94
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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.
Author: Bahram Hemmateenejad
Publisher: Elsevier
ISBN: 0443220034
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
Nature-Derived Sensors: Basic Principles and Recent Advances begins with an introductory section dealing with fundamental and basic information about biomimetic mechanisms, materials, algorithms, and tools. In further detail, various classes of nature-inspired sensors are discussed. The book brings together a wide range of information from nature-inspired solutions for modern sensor technology. As a result of the demand for low-cost, high-quality, and smart sensors, scientists will face new challenges that can be resolved by learning from nature solutions. Biologically inspired technologies can be gathered under the title of biomimetics science. Biomimetic sensors and sensing technologies have grown rapidly and widely and therefore have found real industrial applications as emerging technologies. - Covers recent advances and applications of biomimetics science through the fabrication and design of sensors - Analyzes all kinds of nature-inspired sensors - Provides a general and wide overview of the science and technology of nature-inspired sensors to the scientific and industrial communities
Author: Mukul Sarkar
Publisher: Springer
ISBN: 3642349013
Category : Technology & Engineering
Languages : en
Pages : 264
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Book Description
Biological systems are a source of inspiration in the development of small autonomous sensor nodes. The two major types of optical vision systems found in nature are the single aperture human eye and the compound eye of insects. The latter are among the most compact and smallest vision sensors. The eye is a compound of individual lenses with their own photoreceptor arrays. The visual system of insects allows them to fly with a limited intelligence and brain processing power. A CMOS image sensor replicating the perception of vision in insects is discussed and designed in this book for industrial (machine vision) and medical applications. The CMOS metal layer is used to create an embedded micro-polarizer able to sense polarization information. This polarization information is shown to be useful in applications like real time material classification and autonomous agent navigation. Further the sensor is equipped with in pixel analog and digital memories which allow variation of the dynamic range and in-pixel binarization in real time. The binary output of the pixel tries to replicate the flickering effect of the insect’s eye to detect smallest possible motion based on the change in state. An inbuilt counter counts the changes in states for each row to estimate the direction of the motion. The chip consists of an array of 128x128 pixels, it occupies an area of 5 x 4 mm2 and it has been designed and fabricated in an 180nm CMOS CIS process from UMC.
Author: Olivier Deparis
Publisher: Artech House
ISBN: 1630817988
Category : Technology & Engineering
Languages : en
Pages : 310
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Book Description
Photonic structures occurring in biological tissues such as butterfly wings, beetle elytra or fish scales are responsible for a broad range of optical effects including iridescence, narrow-band reflection, large solid-angle scattering, polarization effects, additive color mixing, fluid-induced color changes, controlled fluorescence. Studies have provided understanding of the underlying optical mechanisms and the biological functions as well as inspiration for the design and development of novel photonic devices, also called bioinspiration. In this forward-thinking book, the research related to photonic structures in natural organisms is reviewed with a main foPhotonic structures occurring in biological tissues such as butterfly wings, beetle elytra, or fish scales are responsible for a broad range of optical effects including iridescence, narrow band reflection, large solid-angle scattering, polarization, additive color mixing, fluid induced color changes, and controlled fluorescence. This book reviews research of biological photonic devices in accordance with the fundamental aspects of physical optics and environmental biology. It provides readers with an understanding of numerical modelling based on morphological and optical characterizations as well as the quantitative treatment of color vision. This forward-thinking book ties these concepts to the design and synthesis of bioinspired photonic devices and opens the door to the applications of nature’s lessons in the technical world. This resource introduces a methodology for working with and utilizing bioinspiration. It includes the experimental and numerical tools necessary for the characterization and simulation of photonic structures and uses original concepts as examples, with a focus on bioinspired hygrochromatic materials. Professionals are brought up to speed on a variety of fabrication techniques and methods of synthesis all following a straightforward bottom-up or top-down approach. The reader will gain an understanding of the capability of bioinspiration to meet human needs. This book’s explanation of how natural photonics structures behave as efficient solar absorbers or thermal management devices makes it a useful resource for technical professionals in the field of energy and environment, and the concepts presented in this book also have applications in the designs of optical coatings, sensors, and light sources.
Author: Debashis De
Publisher: Springer Nature
ISBN: 9811521255
Category : Technology & Engineering
Languages : en
Pages : 346
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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.
Author: Minoru Taya
Publisher: Cambridge University Press
ISBN: 1107065380
Category : Medical
Languages : en
Pages : 539
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Book Description
From experts in engineering and biology, this is the first book to integrate sensor and actuator technology with bioinspired design.
Author: Friedrich G. Barth
Publisher: Springer Science & Business Media
ISBN: 9783211837719
Category : Science
Languages : en
Pages : 422
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Book Description
Biological sensors are usually remarkably small, sensitive and efficient. It is highly desirable to design corresponding artificial sensors for scientific, industrial and commercial purposes. This book is designed to fill an urgent need for interdisciplinary exchange between biologists studying sensors in the natural world and engineers and physical scientists developing artificial sensors. The main topics cover mechanical sensors, e.g. waves and sounds, visual sensors and vision and chemosensors. Readers will obtain a fuller understanding of the nature and performance of natural sensors as well as enhanced appreciation for the current status and the potential applicability of artificial microsensors.
Author: Hossam Haick
Publisher: Elsevier
ISBN: 0443156859
Category : Science
Languages : en
Pages : 617
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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 as well as the design and mechanisms for analyzing their potential in multifunctional sensing applications. The book starts with a comprehensive review of certain fundamental mechanisms in different living creatures, including humans, animals, and plants. It presents and discusses ways for imitating various nature-inspired structural features and their functional properties, such as hierarchical, interlocked, porous, and bristle-like structures and hetero-layered brick-and-mortar structures. It also highlights 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, for example, electronic noses and electronic skins, in conjunction with AI-assisted data processing and decision-making in the targeted field of application. In addition, the book offers an insight into the challenges of continuing the development of nature-inspired smart sensing and biosensing technology and their wider availability, which can be substantially improved. It is a valuable reference for graduates, undergraduates, researchers, and working professionals in the fields of chemistry, materials science, and biomedical and environmental science. - Discusses the current strategies for fabricating nature-derived bio/chemical sensors - Presents ways to apply nature-derived bio/chemical sensors in real life - Describes the future of nature-derived bio/chemical sensors
