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Books > Computing & IT
Coherent Electron Microscopy: Designing Faster and Brighter
Electron Sources, Volume 227 in the Advances in Imaging and
Electron Physics series, merges two long-running serials, Advances
in Electronics and Electron Physics and Advances in Optical and
Electron Microscopy. Chapters in this new release cover
Characterization of nanomaterials properties using FE-TEM, Cold
field-emission electron sources: From higher brightness to
ultrafast beams, Every electron counts: Towards the development of
aberration optimized and aberration corrected electron sources, and
more. The series features articles on the physics of electron
devices (especially semiconductor devices), particle optics at high
and low energies, microlithography, image science, digital image
processing, electromagnetic wave propagation, electron microscopy
and the computing methods used in all these domains.
Technology is used in various forms within today’s modern market.
Businesses and companies, specifically, are beginning to manage
their effectiveness and performance using intelligent systems and
other modes of digitization. The rise of artificial intelligence
and automation has caused organizations to re-examine how they
utilize their personnel and how to train employees for new
skillsets using these technologies. These responsibilities fall on
the shoulders of human resources, creating a need for further
understanding of autonomous systems and their capabilities within
organizational progression. Transforming Human Resource Functions
With Automation is a collection of innovative research on the
methods and applications of artificial intelligence and autonomous
systems within human resource management and modern alterations
that are occurring. While highlighting topics including cloud-based
systems, robotics, and social media, this book is ideally designed
for managers, practitioners, researchers, executives, policymakers,
strategists, academicians, and students seeking current research on
advancements within human resource strategies through the
implementation of information technology and automation.
The transition towards exascale computing has resulted in major
transformations in computing paradigms. The need to analyze and
respond to such large amounts of data sets has led to the adoption
of machine learning (ML) and deep learning (DL) methods in a wide
range of applications. One of the major challenges is the fetching
of data from computing memory and writing it back without
experiencing a memory-wall bottleneck. To address such concerns,
in-memory computing (IMC) and supporting frameworks have been
introduced. In-memory computing methods have ultra-low power and
high-density embedded storage. Resistive Random-Access Memory
(ReRAM) technology seems the most promising IMC solution due to its
minimized leakage power, reduced power consumption and smaller
hardware footprint, as well as its compatibility with CMOS
technology, which is widely used in industry. In this book, the
authors introduce ReRAM techniques for performing distributed
computing using IMC accelerators, present ReRAM-based IMC
architectures that can perform computations of ML and
data-intensive applications, as well as strategies to map ML
designs onto hardware accelerators. The book serves as a bridge
between researchers in the computing domain (algorithm designers
for ML and DL) and computing hardware designers.
Software engineering has surfaced as an industrial field that is
continually evolving due to the emergence of advancing technologies
and innovative methodologies. Scrum is the most recent revolution
that is transforming traditional software procedures, which has
researchers and practitioners scrambling to find the best
techniques for implementation. The continued development of this
agile process requires an extensive level of research on up-to-date
findings and applicable practices. Agile Scrum Implementation and
Its Long-Term Impact on Organizations is a collection of innovative
research on the methods and applications of scrum practices in
developing agile software systems. The book combines perspectives
from both the academic and professional communities as the
challenges and solutions expressed by each group can create a
better understanding of how practice must be applied in the real
world of software development. While highlighting topics including
scrum adoption, iterative deployment, and human impacts, this book
is ideally designed for researchers, developers, engineers,
practitioners, academicians, programmers, students, and educators
seeking current research on practical improvements in agile
software progression using scrum methodologies.
Emerging scientific and industrial applications in today's world
require significant computing power. Modern software tools are
available for such platforms but are relatively complex and require
the use of innovative programming models. One promising area in
modern software design is the development, analysis, and
implementation of algorithms and adaptive methods. These
advancements in programming are promising but lack relevant
research and understanding. Formal and Adaptive Methods for
Automation of Parallel Programs Construction: Emerging Research and
Opportunities is an essential reference source that solves the
problem of the development of efficient models, methods, and tools
for parallel programming automation based on the algebra of
algorithms, term rewriting, and auto-tuning paradigms. The results
of this book will help to further develop and improve existing
research on design, synthesis, and optimization of sequential and
parallel algorithms and programs. Featuring research on topics such
as auto-tuning methods, graphics processing, and algorithmic
language, this book is ideally designed for mathematicians,
software engineers, data scientists, researchers, academicians, and
students seeking coverage on developing tools for automated design
and parallel programs.
There is no doubt that there has been much excitement regarding the
pioneering contributions of artificial intelligence (AI), the
internet of things (IoT), and blockchain technologies and tools in
visualizing and realizing smarter as well as sophisticated systems
and services. However, researchers are being bombarded with various
machine and deep learning algorithms, which are categorized as a
part and parcel of the enigmatic AI discipline. The knowledge
discovered gets disseminated to actuators and other concerned
systems in order to empower them to intelligently plan and
insightfully execute appropriate tasks with clarity and confidence.
The IoT processes in conjunction with the AI algorithms and
blockchain technology are bound to lay out a stimulating foundation
for producing and sustaining smarter systems for society. The
Handbook of Research on Smarter and Secure Industrial Applications
Using AI, IoT, and Blockchain Technology articulates and
accentuates various AI algorithms, fresh innovations in the IoT,
and blockchain spaces. The domain of transforming raw data to
information and to relevant knowledge is gaining prominence with
the availability of data ingestion, processing, mining, analytics
algorithms, platforms, frameworks, and other accelerators. Covering
topics such as blockchain applications, Industry 4.0, and
cryptography, this book serves as a comprehensive guide for AI
researchers, faculty members, IT professionals, academicians,
students, researchers, and industry professionals.
The internet of things (IoT) revolution has given rise to smart
cities and villages all over the world. With technology
advancements such as cloud computing, fog computing, and
software-defined networking, it is necessary to examine ways that
these environments can implement innovation for cost-effective
citizen services and e-governance. Also, as cyber-physical systems
are becoming more vulnerable with IoT attacks threatening their
security and privacy, there is an even greater need for solutions
that offer protection for all of these advancing technologies. The
Handbook of Research on Implementation and Deployment of IoT
Projects in Smart Cities is an essential research publication that
combines theory and practice, reflecting on advancing technologies
for the automation, protection, and sustainability of urban
environments. Highlighting a wide range of topics such as
blockchain, smart grid, and sustainability, this book is ideal for
researchers, academicians, scientists, engineers, programmers, IT
consultants, professionals, and policymakers.
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