Gaurav Verma – författare

Nanostructures: Properties, Processing, and Applications is oriented around the Structure-Property-Processing-Applications and Performance lifecycle of materials development at the nanoscale. Through analogies and illustrations, the book explains the complex fundamentals in the areas of nanoscience and nanotechnology in an accessible way. The structures of metallic, polymeric, ceramic, hybrid, novel and natural nanomaterials are covered in depth to provide a broad-based understanding to the reader.

The properties of materials are dependent on their structure; this is even more the case when nanostructures are examined. This book explains the major techniques for characterizing these properties. In order to control these properties, the synthesis of nanomaterials is essential. Hence a wide evaluation of processing of these materials with a focus on controlling size, shape, and structure is a focal point of the book. The second half of the book covers the major applications and performances of nanostructured materials, drawing comparisons with previous technologies for applications, highlighting the efficacy of nanoscale technologies vis-�-vis the conventional ones.

This is an important information source for early career researchers and engineers wanting to understand the fundamentals of nanostructured materials, and what their major applications are.

Explains the fundamental concepts and properties behind nanostructured materials Discusses the main stages of materials development at the nanoscale Explores the major application areas, showing how nanotechnology is more efficient than other technologies for a variety of biomedical, environmental and industrial uses Contains useful analogies for the readers to make them understand the nanostructural fundamentals.

The text comprehensively discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It further covers the recent advances in embedded computing and IoT for healthcare systems. The text explains the use of low-power devices such as microcontrollers in executing deep neural networks, and other machine learning techniques.This book:Discusses the embedded system software and hardware methodologies for system-on-chip and FPGAIllustrates low-power embedded applications, AI-based system design, PID control design, and CNN hardware designHighlights the integration of advanced 5G communication technologies with embedded systemsExplains weather prediction modeling, embedded machine learning, and RTOSHighlights the significance of machine-learning techniques on the Internet of Things (IoT), real-time embedded system design, communication, and healthcare applications, and provides insights on IoT applications in education, fault attacks, security concerns, AI integration, banking, blockchain, intelligent tutoring systems, and smart technologiesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer engineering.

The text comprehensively discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It further covers the recent advances in embedded computing and IoT for healthcare systems. The text explains the use of low-power devices such as microcontrollers in executing deep neural networks, and other machine learning techniques.This book:Discusses the embedded system software and hardware methodologies for system-on-chip and FPGAIllustrates low-power embedded applications, AI-based system design, PID control design, and CNN hardware designHighlights the integration of advanced 5G communication technologies with embedded systemsExplains weather prediction modeling, embedded machine learning, and RTOSHighlights the significance of machine-learning techniques on the Internet of Things (IoT), real-time embedded system design, communication, and healthcare applications, and provides insights on IoT applications in education, fault attacks, security concerns, AI integration, banking, blockchain, intelligent tutoring systems, and smart technologiesIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer engineering.