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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.
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R383
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