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This book presents a detailed exploration of adaption and
implementation, as well as a 360-degree view spectrum of blockchain
technologies in real-world business applications. Blockchain is
gaining momentum in all sectors. This book offers a collection of
protocol standards, issues, security improvements, applicability,
features, and types of cryptocurrency in processing and through 5G
technology. The book covers the evolution of blockchain from
fundamental theories to present forms. It offers diversified
business applications with usable case studies and provides
successful implementations in cloud/edge computing, smart city, and
IoT. The book emphasizes the advances and cutting-edge technologies
along with the different tools and platforms. The primary audience
for this book includes industry experts, researchers, graduates and
under graduates, practitioners, and business managers who are
engaged in blockchain and IoT-related technologies.
Cyber Security Applications for Industry 4.0 (CSAI 4.0) provides
integrated features of various disciplines in Computer Science,
Mechanical, Electrical, and Electronics Engineering which are
defined to be Smart systems. It is paramount that Cyber-Physical
Systems (CPS) provide accurate, real-time monitoring and control
for smart applications and services. With better access to
information from real-time manufacturing systems in industrial
sectors, the CPS aim to increase the overall equipment
effectiveness, reduce costs, and improve efficiency. Industry 4.0
technologies are already enabling numerous applications in a
variety of industries. Nonetheless, legacy systems and inherent
vulnerabilities in an organization's technology, including limited
security mechanisms and logs, make the move to smart systems
particularly challenging. Features: Proposes a conceptual framework
for Industry 4.0-based Cyber Security Applications concerning the
implementation aspect Creates new business models for
Industrialists on Control Systems and provides productive workforce
transformation Outlines the potential development and organization
of Data Protection based on strategies of cybersecurity features
and planning to work in the new area of Industry 4.0 Addresses the
protection of plants from the frost and insects, automatic
hydroponic irrigation techniques, smart industrial farming and crop
management in agriculture relating to data security initiatives The
book is primarily aimed at industry professionals, academicians,
and researchers for a better understanding of the secure data
transition between the Industry 4.0 enabled connected systems and
their limitations
Addresses the knowledge for emerging multidisciplinary research
Explores basic and high level concepts and serves as a manual for
industry Presents security and privacy issues through IoT
ecosystems and its implications to the real-world Explains concepts
of IoT related technologies, trends, and future directions related
to information security Examines privacy issues and challenges
related to data-intensive technologies in IoT
The advanced AI techniques are essential for resolving various
problematic aspects emerging in the field of bioinformatics. This
book covers the recent approaches in artificial intelligence and
machine learning methods and their applications in Genome and Gene
editing, cancer drug discovery classification, and the protein
folding algorithms among others. Deep learning, which is widely
used in image processing, is also applicable in bioinformatics as
one of the most popular artificial intelligence approaches. The
wide range of applications discussed in this book are an
indispensable resource for computer scientists, engineers,
biologists, mathematicians, physicians, and medical informaticists.
Features: Focusses on the cross-disciplinary relation between
computer science and biology and the role of machine learning
methods in resolving complex problems in bioinformatics Provides a
comprehensive and balanced blend of topics and applications using
various advanced algorithms Presents cutting-edge research
methodologies in the area of AI methods when applied to
bioinformatics and innovative solutions Discusses the AI/ML
techniques, their use, and their potential for use in common and
future bioinformatics applications Includes recent achievements in
AI and bioinformatics contributed by a global team of researchers
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Computing Science, Communication and Security - 4th International Conference, COMS2 2023, Gandhinagar, India, February 6–7, 2023, Revised Selected Papers (1st ed. 2023)
Nirbhay Chaubey, Sabu M. Thampi, Noor Zaman Jhanjhi, Satyen Parikh, Kiran Amin
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R2,231
Discovery Miles 22 310
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 4th
International Conference on Computing Science, Communication and
Security, COMS2 2023, held in Gandhinagar, India, during February
6–7, 2023. The 20 full papers included in this book were
carefully reviewed and selected from 190 submissions. They were
organized in topical sections on artificial intelligence and
machine learning; networking and communications.
The evolution of mechanical properties and its characterization is
important to the weld quality whose further analysis requires
mechanical property and microstructure correlation. Present book
addresses the basic understanding of the Friction Stir Welding
(FSW) process that includes effect of various process parameters on
the quality of welded joints. It discusses about various problems
related to the welding of dissimilar aluminium alloys including
influence of FSW process parameters on the microstructure and
mechanical properties of such alloys. As a case study, effect of
important process parameters on joint quality of dissimilar
aluminium alloys is included.
There are a lot of e-business security concerns. Knowing about
e-business security issues will likely help overcome them. Keep in
mind, companies that have control over their e-business are likely
to prosper most. In other words, setting up and maintaining a
secure e-business is essential and important to business growth.
This book covers state-of-the art practices in e-business security,
including privacy, trust, security of transactions, big data, cloud
computing, social network, and distributed systems.
There are a lot of e-business security concerns. Knowing about
e-business security issues will likely help overcome them. Keep in
mind, companies that have control over their e-business are likely
to prosper most. In other words, setting up and maintaining a
secure e-business is essential and important to business growth.
This book covers state-of-the art practices in e-business security,
including privacy, trust, security of transactions, big data, cloud
computing, social network, and distributed systems.
This book comprises theoretical foundations to deep learning,
machine learning and computing system, deep learning algorithms,
and various deep learning applications. The book discusses
significant issues relating to deep learning in data analytics.
Further in-depth reading can be done from the detailed bibliography
presented at the end of each chapter. Besides, this book's material
includes concepts, algorithms, figures, graphs, and tables in
guiding researchers through deep learning in data science and its
applications for society. Deep learning approaches prevent loss of
information and hence enhance the performance of data analysis and
learning techniques. It brings up many research issues in the
industry and research community to capture and access data
effectively. The book provides the conceptual basis of deep
learning required to achieve in-depth knowledge in computer and
data science. It has been done to make the book more flexible and
to stimulate further interest in topics. All these help researchers
motivate towards learning and implementing the concepts in
real-life applications.
The evolution of mechanical properties and its characterization is
important to the weld quality whose further analysis requires
mechanical property and microstructure correlation. Present book
addresses the basic understanding of the Friction Stir Welding
(FSW) process that includes effect of various process parameters on
the quality of welded joints. It discusses about various problems
related to the welding of dissimilar aluminium alloys including
influence of FSW process parameters on the microstructure and
mechanical properties of such alloys. As a case study, effect of
important process parameters on joint quality of dissimilar
aluminium alloys is included.
This book comprises theoretical foundations to deep learning,
machine learning and computing system, deep learning algorithms,
and various deep learning applications. The book discusses
significant issues relating to deep learning in data analytics.
Further in-depth reading can be done from the detailed bibliography
presented at the end of each chapter. Besides, this book's material
includes concepts, algorithms, figures, graphs, and tables in
guiding researchers through deep learning in data science and its
applications for society. Deep learning approaches prevent loss of
information and hence enhance the performance of data analysis and
learning techniques. It brings up many research issues in the
industry and research community to capture and access data
effectively. The book provides the conceptual basis of deep
learning required to achieve in-depth knowledge in computer and
data science. It has been done to make the book more flexible and
to stimulate further interest in topics. All these help researchers
motivate towards learning and implementing the concepts in
real-life applications.
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Computing Science, Communication and Security - Third International Conference, COMS2 2022, Gujarat, India, February 6-7, 2022, Revised Selected Papers (Paperback, 1st ed. 2022)
Nirbhay Chaubey, Sabu M. Thampi, Noor Zaman Jhanjhi
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R2,756
Discovery Miles 27 560
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Ships in 10 - 15 working days
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This book constitutes revised selected papers of the Third
International Conference on Computing Science, Communication and
Security, COMS2 2022, held in Gandhinagar, India, in February 2022.
Due to the COVID-19 pandemic the conference was held virtually. The
22 full papers were thoroughly reveiwed and selected from 143
submissions. The papers present ideas, and research results on the
aspects of computing science, network communication, and security.
The healthcare industry is starting to adopt digital twins to
improve personalized medicine, healthcare organization performance,
and new medicine and devices. These digital twins can create useful
models based on information from wearable devices, omics, and
patient records to connect the dots across processes that span
patients, doctors, and healthcare organizations as well as drug and
device manufacturers. Digital twins are digital representations of
human physiology built on computer models. The use of digital twins
in healthcare is revolutionizing clinical processes and hospital
management by enhancing medical care with digital tracking and
advancing modelling of the human body. These tools are of great
help to researchers in studying diseases, new drugs, and medical
devices. Digital Twins and Healthcare: Trends, Techniques, and
Challenges facilitates the advancement and knowledge dissemination
in methodologies and applications of digital twins in the
healthcare and medicine fields. This book raises interest and
awareness of the uses of digital twins in healthcare in the
research community. Covering topics such as deep neural network,
edge computing, and transfer learning method, this premier
reference source is an essential resource for hospital
administrators, pharmacists, medical professionals, IT consultants,
students and educators of higher education, librarians, and
researchers.
Global supply chains are becoming more customer-centric and
sustainable thanks to next-generation logistics management
technologies. Automating logistics procedures greatly increases the
productivity and efficiency of the workflow. There is a need,
however, to create flexible and dynamic relationships among
numerous stakeholders and the transparency and traceability of the
supply chain. The digitalization of the supply chain process has
improved these relationships and transparency; however, it has also
created opportunities for cybercriminals to attack the logistics
industry. Cybersecurity Measures for Logistics Industry Framework
discusses the environment of the logistics industry in the context
of new technologies and cybersecurity measures. Covering topics
such as AI applications, inventory management, and sustainable
computing, this premier reference source is an excellent resource
for business leaders, IT managers, security experts, students and
educators of higher education, librarians, researchers, and
academicians.
Global supply chains are becoming more customer-centric and
sustainable thanks to next-generation logistics management
technologies. Automating logistics procedures greatly increases the
productivity and efficiency of the workflow. There is a need,
however, to create flexible and dynamic relationships among
numerous stakeholders and the transparency and traceability of the
supply chain. The digitalization of the supply chain process has
improved these relationships and transparency; however, it has also
created opportunities for cybercriminals to attack the logistics
industry. Cybersecurity Measures for Logistics Industry Framework
discusses the environment of the logistics industry in the context
of new technologies and cybersecurity measures. Covering topics
such as AI applications, inventory management, and sustainable
computing, this premier reference source is an excellent resource
for business leaders, IT managers, security experts, students and
educators of higher education, librarians, researchers, and
academicians.
It is also essential to study the success of technology use in some
of the advanced nations in the Asian region that promote a smarter
and well-advanced community. A smarter community in these regions
can only be materialized by adopting the latest trends in
technology to improve quality of life. Some of these regions need a
great emphasis on technology adoption for women empowerment and
safety, promoting better health with telemedicine facilities,
environment, and disaster prevention with IoT technologies, water
treatment and sanitation, and addressing food scarcity issues with
smarter precision agriculture. Ultimately, there needs to be more
research focused on a smarter and secured community in the Asian
region in terms of cultural and socioeconomic factors and
technology advancements. ICT Solutions for Improving Smart
Communities in Asia explores new possibilities using digital
solutions and technologies to create collaborative and smarter
communities for advancement in agriculture, the health sector,
education centers, human resources, and administrative domains, as
well as other areas to improve the overall living standards of
people at the community level. This book will cover two main areas:
the need for technology development in developing nations, mainly
focusing on Asia, and the adoption of some of the advanced regions
in Asia as role models for the less developed SAARC regions
explicitly. This book is ideally intended for researchers,
academicians, IT specialists, regional developers, government
officials, practitioners, academicians, and students.
As an application of information technology (IT), e-government is
used for delivery in government for services and information
exchange between the government and the public. This electronic
service delivery is an important innovation to society; however, it
also attracts hackers and cyberattacks. It is essential to provide
fast protection application software and structure. Cybersecurity
Measures for E-Government Frameworks provides security techniques
and measures to e-governance applications. It further discusses
emerging technologies in the cybersecurity field as well as the
specific uses they have to e-government technologies. Covering
topics such as cyberattack detection, deep learning, and preventive
approaches, this book is an essential resource for government
officials, security professionals, students and educators of higher
education, IT professionals, researchers, and academicians.
In the era of Industry 4.0, the world is increasingly becoming
smarter as everything from mobile phones to cars to TVs connects
with unique addresses and communication mechanisms. However, in
order to enable the smart world to be sustainable, ICT must embark
into energy efficient paradigms. Green ICT is a moving factor
contributing towards energy efficiency by reducing energy
utilization through software or hardware procedures. Role of IoT in
Green Energy Systems presents updated research trends in green
technology and the latest product and application developments
towards green energy. Covering topics that include energy
conservation and harvesting, renewable energy, and green and
underwater internet of things, this essential reference book
creates further awareness of smart energy and critically examines
the contributions of ICT towards green technologies. IT
specialists, researchers, academicians, and students in the area of
energy harvesting and energy management, and/or those working
towards green energy technologies, wireless sensor networks, and
smart applications will find this monograph beneficial in their
studies.
In the era of Industry 4.0, the world is increasingly becoming
smarter as everything from mobile phones to cars to TVs connects
with unique addresses and communication mechanisms. However, in
order to enable the smart world to be sustainable, ICT must embark
into energy efficient paradigms. Green ICT is a moving factor
contributing towards energy efficiency by reducing energy
utilization through software or hardware procedures. Role of IoT in
Green Energy Systems presents updated research trends in green
technology and the latest product and application developments
towards green energy. Covering topics that include energy
conservation and harvesting, renewable energy, and green and
underwater internet of things, this essential reference book
creates further awareness of smart energy and critically examines
the contributions of ICT towards green technologies. IT
specialists, researchers, academicians, and students in the area of
energy harvesting and energy management, and/or those working
towards green energy technologies, wireless sensor networks, and
smart applications will find this monograph beneficial in their
studies.
It is also essential to study the success of technology use in some
of the advanced nations in the Asian region that promote a smarter
and well-advanced community. A smarter community in these regions
can only be materialized by adopting the latest trends in
technology to improve quality of life. Some of these regions need a
great emphasis on technology adoption for women empowerment and
safety, promoting better health with telemedicine facilities,
environment, and disaster prevention with IoT technologies, water
treatment and sanitation, and addressing food scarcity issues with
smarter precision agriculture. Ultimately, there needs to be more
research focused on a smarter and secured community in the Asian
region in terms of cultural and socioeconomic factors and
technology advancements. ICT Solutions for Improving Smart
Communities in Asia explores new possibilities using digital
solutions and technologies to create collaborative and smarter
communities for advancement in agriculture, the health sector,
education centers, human resources, and administrative domains, as
well as other areas to improve the overall living standards of
people at the community level. This book will cover two main areas:
the need for technology development in developing nations, mainly
focusing on Asia, and the adoption of some of the advanced regions
in Asia as role models for the less developed SAARC regions
explicitly. This book is ideally intended for researchers,
academicians, IT specialists, regional developers, government
officials, practitioners, academicians, and students.
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