Bio Inspired Technologies For The Modern World

A sampling of bio-inspired technologies created by scientists and inventors who study the characteristics of things in nature to come up amazing and astonishing technologies and products. It considers bio-inspired technologies applied in water purification, for business lessons, in healthcare and medicine, and more.

Nature gives us ample opportunity to understand and observe her secrets, and scientists and inventors can and do study the characteristics of things in nature to come up with amazing and astonishing technologies and products invented as a result. This new volume provides a sampling of technological issues that have been tackled with the help of biologically inspired engineering, by such things in nature as bionic plants, the lotus leaf, insects and beetles, geckos, bats, spiders, and butterflies. It considers bio-inspired technologies that have been applied in water purification, for business lessons, in healthcare and medicine, and more. This unique volume is an inspiring resource for professionals, researchers, scholars, engineers, and businessmen and businesswomen interested in the latest developments by studying the wonders of natural science.

Evolvable Hardware (EHW) has emerged as a sub-domain of artificial evolution represented by a design methodology (consortium of methods) involving the application of Evolutionary Algorithms (EA) to the synthesis of digital and analogue electronic circuits and systems. Nevertheless, the most benefit for the society and indeed most revolutionizing application of EA is its hardware implementation leading to the EHW. These new EA based methodologies led to a new type of machines that is evolved to attain a desired behaviour, which means they have a behavioural computational intelligence. EHW is a special case of the adaptive hardware, namely being strongly related to the Adaptive Systems (AS) and the Adaptive Hardware (AH). The book presents a careful selection of the field that very well reflects the breadth of this high technology and its terminology and applications in context of the AS/AH. The harmonious symbiosis of the engineering approach and the accurate scientific methodology features the aspects of highly relevant and practical design principles governing the development of EHW and its connections with AS/AH. This book is both attractive and useful for everybody interested in the design and analysis of EHW in context of AS/AH and implementation of real time adaptive hardware hybrid intelligent systems.

Biomimetic devices are designed and produced by materials, structures, and systems that are modelled on biological entities and processes. These devices are used to synthesize novel materials and their functions at the multiscale level for various applications. Molecular computing biological devices play a key role in the logical processing of the cellular machinery of all living organisms. This book includes information on both biomedical and technological applications of bioactive devices for hard tissue regeneration; design of chip-based disease diagnostic platforms; neuromorphic computing biomaterials that transfer techniques of neuroscience to a silicon chip; various top-down and bottom-up designs; and electrical characterization and transport mechanisms of DNA as nanowires.

The academic community is currently facing the challenge of navigating the complexities of swarm robotics. This field demands understanding the design, control, and coordination of autonomous robotic swarms. The intricacies of developing algorithms that facilitate communication, cooperation, and adaptation among simple individual agents remain a formidable obstacle. Addressing issues like task allocation, formation control, path planning, and decentralized decision-making are pivotal to unlocking the true potential of swarm robotics. Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies immerses readers in the cutting-edge realm of swarm robotics, a discipline inspired by the intricate choreography observed in biological systems like insect colonies, bird flocks, and fish schools. Encompassing a rich array of bio-inspired algorithms, mechanisms, and strategies, the text elucidates how robots can communicate, cooperate, and adapt within dynamic environments. The book propels robotics, automation, and artificial intelligence advancements by fostering interdisciplinary connections and charting a course toward more efficient and resilient multi-robot systems. This book is ideal for biologists, engineers, and computer scientists to join forces in unlocking the full potential of swarm robotics.

Academic scholars, entrenched in the complexities of various domains, face the daunting task of navigating intricate decision-making scenarios. The prevailing need for efficient and effective decision-making tools becomes increasingly apparent as traditional methodologies struggle to keep pace with the demands of modern research and industry. This pivotal issue necessitates a shift, urging scholars to explore unconventional approaches that can transcend disciplinary boundaries and unlock new dimensions of problem-solving. In response to these pressing challenges, Intelligent Decision Making Through Bio-Inspired Optimization emerges as a beacon of ingenuity. This groundbreaking book transcends usual disciplinary boundaries, seamlessly integrating computer science, artificial intelligence, optimization, and decision science. Its multidisciplinary approach addresses the inherent complexities faced by scholars, offering a comprehensive exploration of nature-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies. The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bio-inspired approaches and their potential to revolutionize the scholarly landscape.

This book presents collection of research papers presented at International Conference on Information and Communication Technology (ICICT 2021) organized by Department of Information Technology, Sikkim Manipal Institute of Technology, Sikkim, India, during 23–24 December 2021. The book includes papers in the research area of communication networks, data science, healthcare informatics, bio-medical image processing, security of information including cryptography, machine learning applications, and AI applications.

This new book provides a wealth of information on plants in the Lamiaceae family, noted for their essential oils and bioactives and pharmacological properties. The chapters investigate a wide variety of species, providing for each an introduction, characteristics, properties, distribution, traditional uses, and current and potential pharmacological applications. Aiming to be a resource for the development of new drugs based on species within the Lamiaceae family, the volume discusses 26 species, including bungleweed (Ajuga), Malabar catmint (Anisomeles malabarica), beechwood (Gmelina arborea), Brazilian mint (Hyptis crenata), rosemary (Rosmarinus officinalis L.), holy basil (Ocimum tenuiflorum), and many more. Edited by the noted botanist T. Pullaiah, PhD, this new volume under his AAP Focus on Medicinal Plants book series, will be a valuable reference for those in drug discovery, botany, and fragrance chemistry.