It is becoming increasingly important to design and develop adaptive, robust, scalable, reliable, security and privacy mechanisms for IoT applications and for Industry 4.0 related concerns. This book serves as a useful guide for researchers and industry professionals and will help beginners to learn the basics to the more advanced topics. Along with exploring security and privacy issues through the IoT ecosystem and examining its implications to the real-world, this book addresses cryptographic tools and techniques and presents the basic and high-level concepts that can serve as guidance for those in the industry as well as help beginners get a handle on both the basic and advanced aspects of security related issues. The book goes on to cover major challenges, issues, and advances in IoT and discusses data processing as well as applications for solutions, and assists in developing self-adaptive cyberphysical security systems that will help with issues brought about by new technologies within IoT and Industry 4.0. This edited book discusses the evolution of IoT and Industry 4.0 and brings security and privacy related technological tools and techniques onto a single platform so that researchers, industry professionals, graduate, postgraduate students, and academicians can easily understand the security, privacy, challenges and opportunity concepts and make then ready to use for applications in IoT and Industry 4.0.

Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment provides a comprehensive overview of groundbreaking tools and techniques for the diagnosis and monitoring of asthma. Sections cover an introduction to the human respiratory system and the pathophysiology of asthma before analyzing current assessment concepts, tools and techniques. The book describes spirometry and the peak flow meter as existing tools in assessing asthma along with their limitations. In addition, a detailed description of capnography as a new approach is included with various studies conducted on its analysis. Academicians and researchers in biomedical engineering, particularly in the course of biomedical signal processing and biomedical instrumentation will find the book useful.

Soft computing techniques have emerged as the most popular and widely used techniques in the field of Software Engineering as they offer the advantages of reduced cost, time, maintenance and increased productivity. In this book, few soft computing techniques (i.e. Fuzzy-Logic (FL), Neural Network (NN) and Neuro-Fuzzy (NF)) have been proposed to automate the software development process and are found to be suitable at the various phases of software development. The book is organized into nine chapters according to the phases of Software Development Life Cycle (SDLC). Effective utilization of soft computing techniques should result in increased productivity and quality, reduced cycle time, and lesser costs in the long run. Therefore, this book is useful to further explore various emerging soft computing technologies, including neural computing techniques such as Support Vector Machine (SVM), Adaptive Neuro-Fuzzy Inference System (ANFIS), hybrid soft computing models based on neural, fuzzy and evolutionary computation technologies.