This title explores the potential of bio-inspired materials and sensing systems by describing a conceptual model of distributed intelligent autonomous sensing.

self-assembly and responsiveness of cellular systems; the biomineral formation in bacteria, plants, invertebrates, and vertebrates; the multi-layer structure of skin; the organization of tissue fibers; DNA structures with metal-mediated artificial base pairs; and the anisotropic microstructure of jellyfish mesogloea. In this volume, sensor and microfluidic technologies combined with surface patterning are explored for the diagnosis and monitoring of diseases. The high throughput combinatorial testing of biomaterials in regenerative medicine is also covered. The second volume presents nature-oriented studies and developments in the field of electromechanical devices and systems.

Global warming, pollution, food and water shortage, cyberspace insecurity, over-population, land erosion, and an overburdened health care system are major issues facing the human race and our planet. These challenges have presented a mandate to develop “natural” or “green” technologies using nature and the living system as a guide to rationally design processes, devices, and systems. This approach has given rise to a new paradigm, one in which innovation goes hand-in-hand with less waste, less pollution, and less invasiveness to life on earth. Bioinspiration has also led to the development of technologies that mimic the hierarchical complexity of biological systems, leading to novel highly efficient, more reliable multifunctional materials, devices, and systems that can perform multiple tasks at one time. This multi-volume handbook focuses on the application of biomimetics and bioinspiration in medicine and engineering to produce miniaturized multi-functional materials, devices, and systems to perform complex tasks. Our understanding of complex biological systems at different length scales has increased dramatically as our ability to observe nature has expanded from macro to molecular scale, leading to the rational biologically-driven design to find solution to technological problems in medicine and engineering.The following three-volume set covers the fields of bioinspired materials, electromechanical systems developed from concepts inspired by nature, and tissue models respectively.The first volume focuses on the rational design of nano- and micro-structured hierarchical materials inspired by the relevant characteristics in living systems, such as the self-cleaning ability of lotus leaves and cicadas' wings; the superior walking ability of water striders; the anti-fogging function of mosquitoes' eyes; the water-collecting ability of Namib Desert Beetles and spider silk; the high adhesivity of geckos' feet and rose petals; the high adhesivity of mussels in wet aquatic environments; the anisotropic wetting of butterflies' wings; the anti-reflection capabilities of cicadas' wings; the self-cleaning functionality of fish scales; shape anisotropy of intracellular particles; the dielectric properties of muscles; the light spectral characteristics of plant leaves; the regeneration and self-healing ability of earthworms; the self-repairing ability of lotus leaves; the broadband reflectivity of moths' eyes; the multivalent binding, self-assembly and responsiveness of cellular systems; the biomineral formation in bacteria, plants, invertebrates, and vertebrates; the multi-layer structure of skin; the organization of tissue fibers; DNA structures with metal-mediated artificial base pairs; and the anisotropic microstructure of jellyfish mesogloea. In this volume, sensor and microfluidic technologies combined with surface patterning are explored for the diagnosis and monitoring of diseases. The high throughput combinatorial testing of biomaterials in regenerative medicine is also covered.The second volume presents nature-oriented studies and developments in the field of electromechanical devices and systems. These include actuators and robots based on the movement of muscles, algal antenna and photoreception; the non-imaging light sensing system of sea stars; the optical system of insect ocellus; smart nanochannels and pumps in cell membranes; neuromuscular and sensory devices that mimic the architecture of peripheral nervous system; olfaction-based odor sensing; cilia-mimetic microfluidic systems; the infrared sensory system of pyrophilous insects; ecologically inspired multizone temperature control systems; cochlea and surface acoustic wave resonators; crickets' cercal system and flow sensing abilities; locusts' wings and flapping micro air vehicles; the visual motion sensing of flying insects; hearing aid devices based on the human cochlea; the geometric perception of tortoises and pigeons; the organic matter sensing capability of cats and dogs; and the silent flight of rats. The third volume features engineered models of biological tissues. These include engineered matrices to mimic cancer stem cell niches; in vitro models for bone regeneration; models of muscle tissue that enable the study of cardiac infarction and myopathy; 3D models for the differentiation of embryonic stem cells; bioreactors for in vitro cultivation of mammalian cells; human lung, liver and heart tissue models; topographically-defined cell culture models; ECM mimetic tissue printing; biomimetic constructs for regeneration of soft tissues; and engineered constructs for the regeneration of musculoskeletal and corneal tissue.This three-volume set is a must-have for anyone keen to understand the complexity of biological systems and how that complexity can be mimicked to engineer novel materials, devices and systems to solve pressing technological challenges of the twenty-first century.Key Features:The only handbook that covers all aspects of biomimetics and bioinspiration, including materials, mechanics, signaling and informaticsContains 248 colored figures

Biomimicry for Materials, Design and Habitats: Innovations and Applications and is a survey of the recent work of recognized experts in a variety of fields who employ biomimicry and related paradigms to solve key problems of interest within design, science, technology, and society. Topics covered include innovations from biomimicry in materials, product design, architecture, and biological sciences. The book is a useful resource for educators, designers, researchers, engineers, and materials scientists, taking them from the theory behind biomimicry to real world applications. Living systems have evolved innovative solutions to challenges that humans face on a daily basis. Nonlinear multifunctional systems that have a symbiotic relationship with their environment are the domain of nature. Morphological solutions for buildings inspired by nature can be used for skins, surfaces, and structures to facilitate environmental adaptation of buildings to increase occupant comfort and reduce energy demands. Birds can teach us to produce novel structures, 3D printing can be informed by oysters and mussels, and mycelium may show us the way to fabricate new biocomposites in architecture. Therefore, it is in nature that we seek inspiration for the solutions to tomorrow's challenges. - Presents new directions in education and the various applications of biomimicry within industry, including bio-inspired entrepreneurship - Discusses the role of biomimicry in education, innovation, and product design - Covers applications in systems engineering and design, novel materials with applications in 3D printing, and bio-inspired architecture - Includes perspectives on sustainability detailing the role that bio-inspiration or biomimicry plays in sustainability

The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology. The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.

This book is specially designed to get a basic idea about biomimicry as a solution for sustainable development, how animal and plant models become an ideal natural teacher to construct and design modern mans requirements without causing pollution. This book has nine chapters. The first section is devoted for introduction, the second for sustainable development, the third one for inspiration derived from plants (twenty-four examples), fourth one for inspiration derived from animals (thirty-five examples). The fifth chapter is devoted for research in biomimicry, and the sixth chapter is for development in biomimicry at the molecular level. The seventh one is for modern city planning by mimicking nature, with special reference to Lavasa, the first biomimicry town planning in India. The eighth chapter is for explanation of some case studies in biomimicry, and the last chapter is to inform the reader about some access point in biomimicry resources, followed by further study, and the last section is an index of the contents.

The microelectromechanical systems (MEMS) industry has experienced explosive growth over the last decade. Applications range from accelerometers and gyroscopes used in automotive safety to high-precision on-chip integrated oscillators for reference generation and mobile phones. MEMS: Fundamental Technology and Applications brings together groundbreaking research in MEMS technology and explores an eclectic set of novel applications enabled by the technology. The book features contributions by top experts from industry and academia from around the world. The contributors explain the theoretical background and supply practical insights on applying the technology. From the historical evolution of nano micro systems to recent trends, they delve into topics including: Thin-film integrated passives as an alternative to discrete passives The possibility of piezoelectric MEMS Solutions for MEMS gyroscopes Advanced interconnect technologies Ambient energy harvesting Bulk acoustic wave resonators Ultrasonic receiver arrays using MEMS sensors Optical MEMS-based spectrometers The integration of MEMS resonators with conventional circuitry A wearable inertial and magnetic MEMS sensor assembly to estimate rigid body movement patterns Wireless microactuators to enable implantable MEMS devices for drug delivery MEMS technologies for tactile sensing and actuation in robotics MEMS-based micro hot-plate devices Inertial measurement units with integrated wireless circuitry to enable convenient, continuous monitoring Sensors using passive acousto-electric devices in wired and wireless systems Throughout, the contributors identify challenges and pose questions that need to be resolved, paving the way for new applications. Offering a wide view of the MEMS landscape, this is an invaluable resource for anyone working to develop and commercialize MEMS applications.

Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations' needs as well as practitioners' innovative ideas. - Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems - Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems - Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data

Description based on: v. 2, copyrighted in 2012.