​This book discusses the field of bioinspired smell and taste sensors which includes many new areas: sensitive materials, physiological modelling and simulation, and more. Similar to biological chemical sensing systems, bioinspired smell and taste sensors are characterized with fast responsive, high specificity and sensitivity. One of the most important parts of the field is that of sensitive elements originated from biological components, which enable the detection of chemical signals by mimicking the biological mechanisms. This book detailed describes processing, devices, recognition principles of sensitive materials, and concrete realizations. It is written for researchers, engineers and biologists who engages in interdisciplinary research and applications. Dr. Ping Wang is a professor at Zhejiang University, Hangzhou, China. Dr. Qingjun Liu is a professor at Zhejiang University, Hangzhou, China. Dr. Chunsheng Wu is an associated professor at Zhejiang University, Hangzhou, China. Dr. K. Jimmy Hsia is a professor at University of Illinois at Urbana-Champaign, Urbana, USA.

This book focuses on cell- and molecule-based biosensors using micro/nano devices as transducers. After providing basic information on micro/nano cell- and molecule-based biosensors, it introduces readers to the basic structures and properties of micro/nano materials and their applications. The topics covered provide a comprehensive review of the current state of the art in micro/nano cell- and molecule-based biosensors as well as their future development trends, ensuring the book will be of great interest to the interdisciplinary community active in this area: researchers, engineers, biologists, medical scientists, and all those whose work involves related interdisciplinary research and applications. Dr. Ping Wang is a Professor in Department of Biomedical Engineering at Zhejiang University, Hangzhou, China. Dr. Chunsheng Wu is a Professor in Medical School at Xi’an Jiaotong University, Xi’an, China. Dr. Ning Hu is an Assistant researcher in Department of Biomedical Engineering at Zhejiang University and a Postdoctoral researcher in Medical School at Harvard University, Boston, USA. Dr. K. Jimmy Hsia is a Professor in Department of Biomedical Engineering at Carnegie Mellon University, Pittsburgh, USA.

Can scientists and engineers replicate Nature and develop systems that operate in extreme environments? Bio-inspiration is an established concept which is developing to meet the needs of the many challenges we face particularly in defence and security. This book explores the potential of bio-inspired materials and sensing systems together with examples of how they are being implemented. It is not an exhaustive study of the subject but provides an overview of how bio-inspired or -derived approaches can be used to enhance components, systems and systems of systems for defence and security applications. Readers will gain an awareness of the complexity and versatility of bio-inspired components as well as an understanding of how these technologies can be applied in a variety of operational scenarios. Consideration is given to using a conceptual model that can be deployed in distributed or autonomous operations. Using this model, bio-inspiration with behavioural science plays a major role in identification, movement, searching strategies and pattern recognition for chemical and biological detection. Examples focus on both learning new things from nature that have application to the defence and security areas and adapting known discoveries for practical use by these communities. This graduate level monograph provides an increased awareness of the need for more sophisticated, networked sensors and systems in the defence and security communities and will be of interest to both specialists in this area and science and technology generalists.

Chemical sensing is likely the most primordial sensory modality that emerged in the evolution of life. Without chemical sensing life on earth would probably not exist. It is used for detecting nutrients, avoiding threats, finding mating partners and various forms of communication and social interaction between animals. The advent of artificial sensors has created a myriad of problems in the areas of chemical detection and identification with applications in food quality and pollution control, chemical threat detection, health monitoring, robot control and even odor and taste synthesis. Efficient algorithms are needed to address the many challenges of chemical sensing in these areas, including (but not limited to) sensitivity levels, sensor drift, concentration invariance of analyte identity and complex mixtures. Defining and improving analysis methods for artificial chemical sensing remains an active research area in engineering and machine learning alike. In the course of evolution animals, bacteria and plants have developed sophisticated methods and algorithms for solving difficult problems in chemical sensing very efficiently. Complex signalling pathways inside single cells can trigger movement toward the source of a nutrient. Complex networks of neurons appear to be able to compute odor types and the distance to a source in turbulent flows. These networks of neurons use a combination of temporal coding, layered structures, simple Hebbian learning rules, reinforcement learning and inhibition to quickly learn about chemical stimuli that are critical for their survival. Olfaction is a vibrant filed of research because recent technological advances allow monitoring and manipulating brain areas inaccessible in the past thus allowing for rapid progress. This is particularly relevant because to this date the best solutions to many general chemical sensing problems are still found in animals rather than artificial devices. Many lessons may yet have to be learned from biological systems to solve the complex problems of chemical sensing with similar success as animals routinely do. This special issue has the ambitious goal of bringing together biologists and engineers to report on biological solutions and engineering approaches to chemical sensing challenges in order to better understand in what aspects both fields can find common ground of discussion and to thus promote novel areas of interdisciplinary research.

Digital technologies is a major emerging area to invest and research in new models of health management. Future health scenarios are constituted by technologies in health and clinical decision-making systems. This book provides a unique multidisciplinary approach for exploring the potential contribution of AI and digital technologies in enabling global healthcare systems to respond to urgent twenty-first-century challenges. Deep analysis has been made regarding telemedicine using big data, deep learning, robotics, mobile and remote applications. Features: Focuses on prospective scenarios in health to predict possible futures. Addresses the urgent needs of the key population, socio-technical and health themes. Covers health innovative practices as 3D models for surgeries, big data to treat rare diseases, and AI robot for heart treatments. Explores telemedicine using big data, deep learning, robotics, mobile and remote applications. Reviews public health based on predictive analytics and disease trends. This book is aimed at researchers, professionals, and graduate students in computer science, artificial intelligence, decision support, healthcare technology management, biomedical engineering, and robotics.

This book gathers outstanding research papers presented at the International Conference on Frontiers in Computing and Systems (COMSYS 2020), held on January 13–15, 2019 at Jalpaiguri Government Engineering College, West Bengal, India and jointly organized by the Department of Computer Science & Engineering and Department of Electronics & Communication Engineering. The book presents the latest research and results in various fields of machine learning, computational intelligence, VLSI, networks and systems, computational biology, and security, making it a rich source of reference material for academia and industry alike.

From authors renowned in the fields of engineering and biology, this is the first book to integrate sensor and actuator technology with bioinspired design. Beginning with detailed descriptions of actuation and sensing mechanisms in plants and animals, the authors move on to apply these principles to synthetic design, offering in-depth knowledge of the development of state-of-the-art smart materials and devices. All of this is supported with a range of real-world applications, from tactile sensory systems in insects linked with the development of robotic hands, to the structural colour systems in nature used to inspire camouflage technology. Further examples are given of successful designs along with their integrated autonomous systems, such as flying and swimming, unmanned systems, and autonomous zero-energy building design. With a wide interdisciplinary appeal, this is an ideal resource for any student, practising engineer, or researcher interested in the connection between natural systems and synthetic design.

Nanoengineering in the Beverages Industry, Volume 20 in the Science of Beverages series, presents the impact of novel technologies in nanoengineering on the design of improved and future beverages. This reference explains how novel approaches of nanoengineering can advance beverage science through proven research results and industrial applications. This multidisciplinary resource will help augment research ideas in the development or improvement of beverage production for a wide audience of beverage science research professionals, professors and students. - Includes up-to-date information on nanotechnology applications within the beverages industry, along with the latest technologies employed - Presents various approaches for innovation based on scientific advancements in the field of nanotechnology - Provides methods and techniques for research analysis using novel technologies across the globe

Functional Foods and Chronic Disease: Role of Sensory, Chemistry and Nutrition explores the range of functional foods that are effective against a wide range of chronic diseases and addresses the impact of functional food bioactive compounds on organoleptic properties. Beginning with an introduction that details the key sensory and advanced instrumental methods essential for addressing the common problems associated with designing functional foods, the book also addresses the impact of aging and chronic diseases on sensory acuity as well as the effectiveness of functional foods in treating a wide range of chronic diseases. Sections highlight the need for acceptable functional foods for individuals suffering from a wide range of chronic diseases and contain practical recommendations for their development. Food scientists, nutritionists, dietitians, food product developers, food supplement producers, food ingredient developers, natural product scientists, herbalists, and pharmacists, as well as students studying related areas, will benefit from this important resource. - Highlights the need for acceptable functional foods for individuals suffering from a wide range of chronic diseases - Includes case studies, applications, literature reviews, and a summary of recent developments in the field - Provides suggestions for improving the organoleptic properties of functional foods