This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems. ICT and Data Sciences brings together IoT and Machine Learning and provides the careful integration of both, along with many examples and case studies. It illustrates the merging of two technologies while presenting basic to high-level concepts covering different fields and domains such as the Hospitality and Tourism industry, Smart Clothing, Cyber Crime, Programming, Communications, Business Intelligence, all in the context of the Internet of Things. The book is written for researchers and practitioners, working in Information Communication Technology and Computer Science.

This book provides an overview of the applications of ion beam techniques in oxide materials. Oxide materials exhibit defect-induced physical properties relevant to applications in sensing, optoelectronics and spintronics. Defects in these oxide materials also lead to magnetism in non-magnetic materials or to a change of magnetic ordering in magnetic materials. Thus, an understanding of defects is of immense importance. To date, ion beam tools are considered the most effective techniques for producing controlled defects in these oxides. This book will detail the ion beam tools utilized for creating defects in oxides.

Defect Induced Magnetism in Oxide Semiconductors provides an overview on the latest advances of defect engineering to create new magnetic materials and enable new technological applications. Sections introduce the mechanisms, behavior and theory of magnetism in oxide semiconductors and review methods of inducing magnetism in these materials. Then, strategies such as pulsed laser deposition and RF sputtering to grow oxide nanostructured materials with induced magnetism are discussed. This is followed by a review of the most relevant post-deposition methods to induce magnetism in oxide semiconductors, including annealing, ion irradiation, and ion implantation. Examples of defect induced magnetism in oxide semiconductors are then provided, along with selected applications. This title will be suitable reference for researchers in academia and practitioners in research and development in industry working in the disciplines of materials science and engineering.

The present investigation entitled "Genetics of slow rusting resistance in field pea" was carried out with a view to analyze the inheritance pattern of components of rust resistance and yield and yield traits in pea (Pisum sativum L.). Using first order statistics (the generation means analysis and the protection experiment) and the second order statistics (the heritability, genetic advance, phenotypic correlation and path-coefficients). Based on above information one can elucidate the nature of gene action involved in governing the expression of components of resistance called slow rusting components. Slow rusting components are those components which slow down the epidemic buildup of the pathogen despite a compatible interaction between the host and the pathogen and are quantitative in nature. Further, the findings of the work presented in this manuscript may serve as a sound tool to formulate the appropriate breeding strategy for the improvement and management of pea crop against the rust disease.