|
Showing 1 - 20 of
20 matches in All Departments
Wireless Sensor Networks and the Internet of Things: Future
Directions and Applications explores a wide range of important and
real-time issues and applications in this ever-advancing field.
Different types of WSN and IoT technologies are discussed in order
to provide a strong framework of reference, and the volume places
an emphasis on solutions to the challenges of protection,
conservation, evaluation, and implementation of WSN and IoT that
lead to low-cost products, energy savings, low carbon usage, higher
quality, and global competitiveness. The volume is divided into
four sections that cover: Wireless sensor networks and their
relevant applications Smart monitoring and control systems with the
Internet of Things Attacks, threats, vulnerabilities, and defensive
measures for smart systems Research challenges and opportunities
This collection of chapters on an important and diverse range of
issues presents case studies and applications of cutting-edge
technologies of WSN and IoT that will be valuable for academic
communities in computer science, information technology, and
electronics, including cyber security, monitoring, and data
collection. The informative material presented here can be applied
to many sectors, including agriculture, energy and power, resource
management, biomedical and health care, business management, and
others.
Fog Computing: Concepts, Frameworks, and Applications is arranged
in such a way that readers with no prior experience in Fog
Computing may explore this domain. It is an accessible source of
information for distributed computing researchers as well as
professionals looking to improve their security and connectivity
understanding in Internet of Things (IoT) devices. This book is
also useful for researchers and professionals working in the field
of wireless communication security and privacy research. This book
is intended for students, professionals, researchers, and
developers who are working in or interested in the field of Fog
Computing. One of the book's distinguishing aspects is that it
covers a variety of case studies and future possibilities in the
field of Fog Computing. This book: Begins by covering the
fundamental notions of Fog Computing to help readers grasp the
technology, starting from the basics Explains Fog Computing
architecture as well as the convergence of Fog, IoT, and Cloud
Computing Provides an assessment of Fog Computing and its
applications in the field of IoT Discusses the usage of software
defined networking and machine learning algorithms as they apply to
Fog Computing Describes the different security and privacy issues
with Fog Computing and explores single point control systems for
consumer devices using Edge-Fog Computing Outlines in detail how to
leverage Blockchain technology in Fog Computing, as well as how to
use Fog Computing in telemedicine and healthcare applications
Examines the usage of communication protocols, simulation tools for
Fog Computing implementation, and case studies in the fields of
bioinformatics, disaster control, and IoT
Wireless Sensor Networks and the Internet of Things: Future
Directions and Applications explores a wide range of important and
real-time issues and applications in this ever-advancing field.
Different types of WSN and IoT technologies are discussed in order
to provide a strong framework of reference, and the volume places
an emphasis on solutions to the challenges of protection,
conservation, evaluation, and implementation of WSN and IoT that
lead to low-cost products, energy savings, low carbon usage, higher
quality, and global competitiveness. The volume is divided into
four sections that cover: Wireless sensor networks and their
relevant applications Smart monitoring and control systems with the
Internet of Things Attacks, threats, vulnerabilities, and defensive
measures for smart systems Research challenges and opportunities
This collection of chapters on an important and diverse range of
issues presents case studies and applications of cutting-edge
technologies of WSN and IoT that will be valuable for academic
communities in computer science, information technology, and
electronics, including cyber security, monitoring, and data
collection. The informative material presented here can be applied
to many sectors, including agriculture, energy and power, resource
management, biomedical and health care, business management, and
others.
Information Security and Optimization maintains a practical
perspective while offering theoretical explanations. The book
explores concepts that are essential for academics as well as
organizations. It discusses aspects of techniques and
tools-definitions, usage, and analysis-that are invaluable for
scholars ranging from those just beginning in the field to
established experts. What are the policy standards? What are
vulnerabilities and how can one patch them? How can data be
transmitted securely? How can data in the cloud or cryptocurrency
in the blockchain be secured? How can algorithms be optimized?
These are some of the possible queries that are answered here
effectively using examples from real life and case studies.
Features: A wide range of case studies and examples derived from
real-life scenarios that map theoretical explanations with real
incidents. Descriptions of security tools related to digital
forensics with their unique features, and the working steps for
acquiring hands-on experience. Novel contributions in designing
organization security policies and lightweight cryptography.
Presentation of real-world use of blockchain technology and
biometrics in cryptocurrency and personalized authentication
systems. Discussion and analysis of security in the cloud that is
important because of extensive use of cloud services to meet
organizational and research demands such as data storage and
computing requirements. Information Security and Optimization is
equally helpful for undergraduate and postgraduate students as well
as for researchers working in the domain. It can be recommended as
a reference or textbook for courses related to cybersecurity.
Blockchain is new-age technology used to track every transaction
using cryptocurrency across servers linked in a peer-to-peer
network, enabling transactions to be secure, transparent and
reliable. Retaining an efficient, secure and patient-centric
healthcare industry has never been so important, especially due to
the damaging effects of the Covid-19 pandemic. The applicability of
Blockchain in the healthcare domain can be seen as a remarkable
opportunity for researchers and scientists to solve real-world
problems. This book focuses on the fundamentals of Blockchain
technology along with the methods of its integration with the
healthcare industry. It also provides an enhanced understanding of
Blockchain technology, AI and IoT across the various application
areas of the healthcare industry. Furthermore, throughout the book,
areas of relevant applications, such as patient data privacy
protection, pharmaceutical supply chains and genomics are
discussed.
This book focuses on the fundamentals of blockchain technology
along with the means and methods of its integration with Internet
of Things (IoT). The book allows the reader to have a deeper
understanding of blockchain technology, IoT and various application
areas wherein both technologies can be implemented. The book serves
the purpose of providing knowledge about the fundamentals of
blockchain and IoT to a common reader along with allowing a
research scholar to identify some futuristic problem areas that
emerge from the convergence of both technologies. Furthermore, the
authors discuss relevant application areas such as smart city,
e-healthcare, smart travel, etc. throughout the course of the book.
The book also talks through a few case studies illustrating the
implementation and benefits of using blockchain and IoT. Provides a
comprehensive view of blockchain technology and its integration
with IoT; Facilitates in having a valuable understanding of various
application areas pertaining to blockchain and IoT; Assists the
reader in exploring new research areas wherein blockchain and IoT
can find their applicability based upon their list of benefits.
This book is a compilation of peer-reviewed papers presented at the
International Conference on Machine Intelligence and Data Science
Applications, organized by the School of Computer Science,
University of Petroleum & Energy Studies, Dehradun, on
September 4 and 5, 2020. The book starts by addressing the
algorithmic aspect of machine intelligence which includes the
framework and optimization of various states of algorithms. Variety
of papers related to wide applications in various fields like image
processing, natural language processing, computer vision, sentiment
analysis, and speech and gesture analysis have been included with
upfront details. The book concludes with interdisciplinary
applications like legal, health care, smart society, cyber physical
system and smart agriculture. The book is a good reference for
computer science engineers, lecturers/researchers in machine
intelligence discipline and engineering graduates.
This book is a compilation of peer-reviewed papers presented at the
International Conference on Machine Intelligence and Data Science
Applications, organized by the School of Computer Science,
University of Petroleum & Energy Studies, Dehradun, India,
during 4-5 September 2020. The book addresses the algorithmic
aspect of machine intelligence which includes the framework and
optimization of various states of algorithms. Variety of papers
related to wide applications in various fields like data-driven
industrial IoT, bioinformatics, network and security, autonomous
computing and various other aligned areas. The book concludes with
interdisciplinary applications like legal, health care, smart
society, cyber-physical system and smart agriculture. All papers
have been carefully reviewed. The book is of interest to computer
science engineers, lecturers/researchers in machine intelligence
discipline and engineering graduates.
This book focuses on the fundamentals of blockchain technology
along with the means and methods of its integration with Internet
of Things (IoT). The book allows the reader to have a deeper
understanding of blockchain technology, IoT and various application
areas wherein both technologies can be implemented. The book serves
the purpose of providing knowledge about the fundamentals of
blockchain and IoT to a common reader along with allowing a
research scholar to identify some futuristic problem areas that
emerge from the convergence of both technologies. Furthermore, the
authors discuss relevant application areas such as smart city,
e-healthcare, smart travel, etc. throughout the course of the book.
The book also talks through a few case studies illustrating the
implementation and benefits of using blockchain and IoT. Provides a
comprehensive view of blockchain technology and its integration
with IoT; Facilitates in having a valuable understanding of various
application areas pertaining to blockchain and IoT; Assists the
reader in exploring new research areas wherein blockchain and IoT
can find their applicability based upon their list of benefits.
This book is a compilation of peer-reviewed papers presented at the
International Conference on Machine Intelligence and Data Science
Applications, organized by the School of Computer Science,
University of Petroleum & Energy Studies, Dehradun, on
September 4 and 5, 2020. The book starts by addressing the
algorithmic aspect of machine intelligence which includes the
framework and optimization of various states of algorithms. Variety
of papers related to wide applications in various fields like image
processing, natural language processing, computer vision, sentiment
analysis, and speech and gesture analysis have been included with
upfront details. The book concludes with interdisciplinary
applications like legal, health care, smart society, cyber physical
system and smart agriculture. The book is a good reference for
computer science engineers, lecturers/researchers in machine
intelligence discipline and engineering graduates.
This book is a compilation of peer-reviewed papers presented at the
International Conference on Machine Intelligence and Data Science
Applications, organized by the School of Computer Science,
University of Petroleum & Energy Studies, Dehradun, India,
during 4-5 September 2020. The book addresses the algorithmic
aspect of machine intelligence which includes the framework and
optimization of various states of algorithms. Variety of papers
related to wide applications in various fields like data-driven
industrial IoT, bioinformatics, network and security, autonomous
computing and various other aligned areas. The book concludes with
interdisciplinary applications like legal, health care, smart
society, cyber-physical system and smart agriculture. All papers
have been carefully reviewed. The book is of interest to computer
science engineers, lecturers/researchers in machine intelligence
discipline and engineering graduates.
This book presents a framework for developing an analytics strategy
that includes a range of activities, from problem definition and
data collection to data warehousing, analysis, and decision making.
The authors examine best practices in team analytics strategies
such as player evaluation, game strategy, and training and
performance. They also explore the way in which organizations can
use analytics to drive additional revenue and operate more
efficiently. The authors provide keys to building and organizing a
decision intelligence analytics that delivers insights into all
parts of an organization. The book examines the criteria and tools
for evaluating and selecting decision intelligence analytics
technologies and the applicability of strategies for fostering a
culture that prioritizes data-driven decision making. Each chapter
is carefully segmented to enable the reader to gain knowledge in
business intelligence, decision making and artificial intelligence
in a strategic management context.
This book describes the next generation of industry-Industry
4.0-and how it holds the promise of increased flexibility in
manufacturing, along with automation, better quality, and improved
productivity. The authors discuss how it thus enables companies to
cope with the challenges of producing increasingly individualized
products with a short lead-time to market and higher quality. The
authors posit that intelligent cloud services and resource sharing
play an important role in Industry 4.0 anticipated Fourth
Industrial Revolution. This book serves the different issues and
challenges in cloud resource management CRM techniques with proper
propped solution for IT organizations. The book features chapters
based on the characteristics of autonomic computing with its
applicability in CRM. Each chapter features the techniques and
analysis of each mechanism to make better resource management in
cloud.
This book is a compilation of peer reviewed papers presented at
International Conference on Machine Intelligence and Data Science
Applications (MIDAS 2021), held in Comilla University, Cumilla,
Bangladesh during 26 - 27 December 2021. The book covers
applications in various fields like image processing, natural
language processing, computer vision, sentiment analysis, speech
and gesture analysis, etc. It also includes interdisciplinary
applications like legal, healthcare, smart society, cyber physical
system and smart agriculture, etc. The book is a good reference for
computer science engineers, lecturers/researchers in machine
intelligence discipline and engineering graduates.
This book presents a framework for developing an analytics strategy
that includes a range of activities, from problem definition and
data collection to data warehousing, analysis, and decision making.
The authors examine best practices in team analytics strategies
such as player evaluation, game strategy, and training and
performance. They also explore the way in which organizations can
use analytics to drive additional revenue and operate more
efficiently. The authors provide keys to building and organizing a
decision intelligence analytics that delivers insights into all
parts of an organization. The book examines the criteria and tools
for evaluating and selecting decision intelligence analytics
technologies and the applicability of strategies for fostering a
culture that prioritizes data-driven decision making. Each chapter
is carefully segmented to enable the reader to gain knowledge in
business intelligence, decision making and artificial intelligence
in a strategic management context.
This book describes the next generation of industry-Industry
4.0-and how it holds the promise of increased flexibility in
manufacturing, along with automation, better quality, and improved
productivity. The authors discuss how it thus enables companies to
cope with the challenges of producing increasingly individualized
products with a short lead-time to market and higher quality. The
authors posit that intelligent cloud services and resource sharing
play an important role in Industry 4.0 anticipated Fourth
Industrial Revolution. This book serves the different issues and
challenges in cloud resource management CRM techniques with proper
propped solution for IT organizations. The book features chapters
based on the characteristics of autonomic computing with its
applicability in CRM. Each chapter features the techniques and
analysis of each mechanism to make better resource management in
cloud.
Applying mechanisms and principles of human intelligence and
converging the brain and artificial intelligence (AI) is currently
a research trend. The applications of AI in brain simulation are
countless. Brain-inspired intelligent systems will improve
next-generation information processing by applying theories,
techniques, and applications inspired by the information processing
principles from the brain. Exploring Future Opportunities of
Brain-Inspired Artificial Intelligence focuses on the convergence
of AI with brain-inspired intelligence. It presents research on
brain-inspired cognitive machines with vision, audition, language
processing, and thinking capabilities. Covering topics such as data
analysis tools, knowledge representation, and super-resolution,
this premier reference source is an essential resource for
engineers, developers, computer scientists, students and educators
of higher education, librarians, researchers, and academicians.
Applying mechanisms and principles of human intelligence and
converging the brain and artificial intelligence (AI) is currently
a research trend. The applications of AI in brain simulation are
countless. Brain-inspired intelligent systems will improve
next-generation information processing by applying theories,
techniques, and applications inspired by the information processing
principles from the brain. Exploring Future Opportunities of
Brain-Inspired Artificial Intelligence focuses on the convergence
of AI with brain-inspired intelligence. It presents research on
brain-inspired cognitive machines with vision, audition, language
processing, and thinking capabilities. Covering topics such as data
analysis tools, knowledge representation, and super-resolution,
this premier reference source is an essential resource for
engineers, developers, computer scientists, students and educators
of higher education, librarians, researchers, and academicians.
Due to the rise of new applications in electronic appliances and
pervasive devices, automated hand gesture recognition (HGR) has
become an area of increasing interest. HGR developments have come a
long way from the traditional sign language recognition (SLR)
systems to depth and wearable sensor-based electronic devices.
Where the former are more laboratory-oriented frameworks, the
latter are comparatively realistic and practical systems. Based on
various gestural traits, such as hand postures, gesture recognition
takes different forms. Consequently, different interpretations can
be associated with gestures in various application contexts. A
considerable amount of research is still needed to introduce more
practical gesture recognition systems and associated algorithms.
Challenges and Applications for Hand Gesture Recognition highlights
the state-of-the-art practices of HGR research and discusses key
areas such as challenges, opportunities, and future directions.
Covering a range of topics such as wearable sensors and hand
kinematics, this critical reference source is ideal for
researchers, academicians, scholars, industry professionals,
engineers, instructors, and students.
Due to applications in recent electronic appliances and pervasive
devices, Automated Hand Gesture Recognition (HGR) is of particular
interest nowadays. HGR developments have come a long way from the
traditional Sign Language Recognition (SLR) systems to innovations
such as wearable sensor based electronic devices. A large amount of
research on HGR is still on the way, both from the industry and
academia, that is working towards introducing more practical
gesture recognition systems and associated algorithms. This book
highlights state-of-the-art practices in the direction of HGR
research. It is organized into five coherent heads: HGR
introduction, modalities, and challenges, practical hand
segmentation schemes capable of working under cluttered
backgrounds, gesture recognition schemes targeting different
acquisition mechanisms, solutions sticking to different, practiced
methodologies, and conclusions from the HGR works witnessed so far
and future options. The book is ideal for undergraduates,
researchers at all levels, and the developer community as it
provides a basis of information about HGR, as well as new and
in-depth research in the field.
|
|