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Features: A systematic and comprehensive understanding of the Block
chain technology and the potential in Healthcare. How security and
privacy concerns of healthcare data can be addressed using
Blockchain Technology. Concept of smart contracts for performing
advance level scripting to create a blockchain network for
providing a platform for the development of decentralized
applications is discussed Chapter on role of blockchain based
insurance application using Ethereum/Hyperledger is included Use
cases of blockchain for various aspects of drug manufacturing and
pharma supply chain..
This book highlights future research directions and latent
solutions by integrating AI and Blockchain 6G networks, comprising
computation efficiency, algorithms robustness, hardware development
and energy management. This book brings together leading
researchers in Academia and industry from diverse backgrounds to
deliver to the technical community an outline of emerging
technologies, advanced architectures, challenges, open issues and
future directions of 6G networks. This book is written for
researchers, professionals and students to learn about the
integration of technologies such as AI and Blockchain into 6G
network and communications. This book addresses the topics such as
consensus protocol, architecture, intelligent dynamic resource
management, security and privacy in 6G to integrate AI and
Blockchain and new real-time application with further research
opportunities.
This book discusses applications of blockchain in healthcare
sector. The security of confidential and sensitive data is of
utmost importance in healthcare industry. The introduction of
blockchain methods in an effective manner will bring secure
transactions in a peer-to-peer network. The book also covers gaps
of the current available books/literature available for use cases
of Distributed Ledger Technology (DLT) in healthcare. The
information and applications discussed in the book are immensely
helpful for researchers, database professionals, and practitioners.
The book also discusses protocols, standards, and government
regulations which are very useful for policymakers.
This book discusses applications of blockchain in healthcare
sector. The security of confidential and sensitive data is of
utmost importance in healthcare industry. The introduction of
blockchain methods in an effective manner will bring secure
transactions in a peer-to-peer network. The book also covers gaps
of the current available books/literature available for use cases
of Distributed Ledger Technology (DLT) in healthcare. The
information and applications discussed in the book are immensely
helpful for researchers, database professionals, and practitioners.
The book also discusses protocols, standards, and government
regulations which are very useful for policymakers.
This contributed volume discusses diverse topics to demystify the
rapidly emerging and evolving blockchain technology, the emergence
of integrated platforms and hosted third-party tools, and the
development of decentralized applications for various business
domains. It presents various applications that are helpful for
research scholars and scientists who are working toward identifying
and pinpointing the potential of as well as the hindrances to this
technology.
This contributed volume discusses diverse topics to demystify the
rapidly emerging and evolving blockchain technology, the emergence
of integrated platforms and hosted third-party tools, and the
development of decentralized applications for various business
domains. It presents various applications that are helpful for
research scholars and scientists who are working toward identifying
and pinpointing the potential of as well as the hindrances to this
technology.
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Applications of Computing and Communication Technologies - First International Conference, ICACCT 2018, Delhi, India, March 9, 2018, Revised Selected Papers (Paperback, 1st ed. 2018)
Ganesh Chandra Deka, Omprakash Kaiwartya, Pooja Vashisth, Priyanka Rathee
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R1,606
Discovery Miles 16 060
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Ships in 10 - 15 working days
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This book (CCIS 899) constitutes the refereed proceedings of the
First International Conference on Applications of Computing and
Communication Technologies, ICACCT 2018, held in Delhi, India, in
March 2018. The 30 full papers were carefully reviewed and selected
from 109 submissions. The papers are organized in topical sections
on communication and system technologies, computing and network
technologies, application and services.
Big data technologies are used to achieve any type of analytics in
a fast and predictable way, thus enabling better human and machine
level decision making. Principles of distributed computing are the
keys to big data technologies and analytics. The mechanisms related
to data storage, data access, data transfer, visualization and
predictive modeling using distributed processing in multiple low
cost machines are the key considerations that make big data
analytics possible within stipulated cost and time practical for
consumption by human and machines. However, the current literature
available in big data analytics needs a holistic perspective to
highlight the relation between big data analytics and distributed
processing for ease of understanding and practitioner use. This
book fills the literature gap by addressing key aspects of
distributed processing in big data analytics. The chapters tackle
the essential concepts and patterns of distributed computing widely
used in big data analytics. This book discusses also covers the
main technologies which support distributed processing. Finally,
this book provides insight into applications of big data analytics,
highlighting how principles of distributed computing are used in
those situations. Practitioners and researchers alike will find
this book a valuable tool for their work, helping them to select
the appropriate technologies, while understanding the inherent
strengths and drawbacks of those technologies.
This book discusses the current technologies of cryptography using
DNA computing. Various chapters of the book will discuss the basic
concepts of cryptography, steganography, basic concepts of DNA and
DNA computing, approaches of DNA computing in cryptography,
security attacks, practical implementaion of DNA computing,
applications of DNA computing in the cloud computing environment,
applications of DNA computing for big data, etc. It provides a
judicious mix of concepts, solved examples and real life case
studies.
Opportunistic networks allow mobile users to share information
without any network infrastructure.This book is suitable for both
undergraduates and postgraduates as it discusses various aspects of
opportunistic networking including, foundations of ad hoc network;
taxonomy of mobility models, etc.
Blockchain Technology: Platforms, Tools and Use Cases, Volume 111,
the latest release in the Advances in Computers series published
since 1960, presents detailed coverage of innovations in computer
hardware, software, theory, design and applications. In addition,
it provides contributors with a medium in which they can explore
their subjects in greater depth and breadth than journal articles
usually allow. This volume has 8 Chapters that discuss the various
aspects of Blockchain technology.
A Deep Dive into NoSQL Databases: The Use Cases and Applications,
Volume 109, the latest release in the Advances in Computers series
first published in 1960, presents detailed coverage of innovations
in computer hardware, software, theory, design and applications. In
addition, it provides contributors with a medium in which they can
explore their subjects in greater depth and breadth. This update
includes sections on NoSQL and NewSQL databases for big data
analytics and distributed computing, NewSQL databases and scalable
in-memory analytics, NoSQL web crawler application, NoSQL Security,
a Comparative Study of different In-Memory (No/New)SQL Databases,
NoSQL Hands On-4 NoSQLs, the Hadoop Ecosystem, and more.
Principles of Big Graph: In-depth Insight, Volume 128 in the
Advances in Computer series, highlights new advances in the field
with this new volume presenting interesting chapters on a variety
of topics, including CESDAM: Centered subgraph data matrix for
large graph representation, Bivariate, cluster and suitability
analysis of NoSQL Solutions for big graph applications, An
empirical investigation on Big Graph using deep learning, Analyzing
correlation between quality and accuracy of graph clustering,
geneBF: Filtering protein-coded gene graph data using bloom filter,
Processing large graphs with an alternative representation,
MapReduce based convolutional graph neural networks: A
comprehensive review. Fast exact triangle counting in large graphs
using SIMD acceleration, A comprehensive investigation on attack
graphs, Qubit representation of a binary tree and its operations in
quantum computation, Modified ML-KNN: Role of similarity measures
and nearest neighbor configuration in multi label text
classification on big social network graph data, Big graph based
online learning through social networks, Community detection in
large-scale real-world networks, Power rank: An interactive web
page ranking algorithm, GA based energy efficient modelling of a
wireless sensor network, The major challenges of big graph and
their solutions: A review, and An investigation on socio-cyber
crime graph.
This book highlights future research directions and latent
solutions by integrating AI and Blockchain 6G networks, comprising
computation efficiency, algorithms robustness, hardware development
and energy management. This book brings together leading
researchers in Academia and industry from diverse backgrounds to
deliver to the technical community an outline of emerging
technologies, advanced architectures, challenges, open issues and
future directions of 6G networks. This book is written for
researchers, professionals and students to learn about the
integration of technologies such as AI and Blockchain into 6G
network and communications. This book addresses the topics such as
consensus protocol, architecture, intelligent dynamic resource
management, security and privacy in 6G to integrate AI and
Blockchain and new real-time application with further research
opportunities.
In cyber-physical systems (CPS), sensors and embedded systems are
networked together to monitor and manage a range of physical
processes through a continuous feedback system. This allows
distributed computing using wireless devices. Cyber-Physical
Systems-A Computational Perspective examines various developments
of CPS that are impacting our daily lives and sets the stage for
future directions in this domain. The book is divided into six
sections. The first section covers the physical infrastructure
required for CPS, including sensor networks and embedded systems.
The second section addresses energy issues in CPS with the use of
supercapacitors and reliability assessment. In the third section,
the contributors describe the modeling of CPS as a network of
robots and explore issues regarding the design of CPS. The fourth
section focuses on the impact of ubiquitous computing and cloud
computing in CPS and the fifth section discusses security and
privacy issues in CPS. The final section covers the role of CPS in
big data analytics, social network analysis, and healthcare. As CPS
are becoming more complex, pervasive, personalized, and dependable,
they are moving beyond niche laboratories to real-life application
areas, such as robotics, smart grids, green computing, and
healthcare. This book provides you with a guide to current CPS
research and development that will contribute to a "smarter"
planet.
Hardware Accelerator Systems for Artificial Intelligence and
Machine Learning, Volume 122 delves into arti?cial Intelligence and
the growth it has seen with the advent of Deep Neural Networks
(DNNs) and Machine Learning. Updates in this release include
chapters on Hardware accelerator systems for artificial
intelligence and machine learning, Introduction to Hardware
Accelerator Systems for Artificial Intelligence and Machine
Learning, Deep Learning with GPUs, Edge Computing Optimization of
Deep Learning Models for Specialized Tensor Processing
Architectures, Architecture of NPU for DNN, Hardware Architecture
for Convolutional Neural Network for Image Processing, FPGA based
Neural Network Accelerators, and much more.
The proposed book will discuss various aspects of big data
Analytics. It will deliberate upon the tools, technology,
applications, use cases and research directions in the field.
Chapters would be contributed by researchers, scientist and
practitioners from various reputed universities and organizations
for the benefit of readers.
This book provides a dual perspective on the Internet of Things and
ubiquitous computing, along with their applications in healthcare
and smart cities. It also covers other interdisciplinary aspects of
the Internet of Things like big data, embedded Systems and wireless
Sensor Networks. Detailed coverage of the underlying architecture,
framework, and state-of the art methodologies form the core of the
book.
Role of Blockchain Technology in IoT Applications, Volume 115 in
the Advances in Computers series, reviews the latest information on
this topic that promises many applications in human life. According
to forecasts made by various market research/survey agencies, there
will be around 50 Billion connected devices (IoT) by 2020. Updates
in this new release include chapters on the Technical Aspects of
Blockchain and IoT, Integrated Platforms for Blockchain-Enablement,
Intersections Between IoT and Distributed Ledger, Blockchain and
Artificial Intelligence: How and Why Combining These Two
Groundbreaking Technologies, Blockchain Applications in Health Care
and Opportunities and Advancements Due to New Information
Technology Frameworks, and more.
Computer software and technologies are advancing at an amazing
rate. The accessibility of these software sources allows for a
wider power among common users as well as rapid advancement in
program development and operating information. Free and Open Source
Software in Modern Data Science and Business Intelligence: Emerging
Research and Opportunities is a critical scholarly resource that
examines the differences between the two types of software,
integral in the FOSS movement, and their effect on the distribution
and use of software. Featuring coverage on a wide range of topics,
such as FOSS Ecology, graph mining, and project tasks, this book is
geared towards academicians, researchers, and students interested
in current research on the growing importance of FOSS and its
expanding reach in IT infrastructure.
Cloud computing is rapidly expanding in its applications and
capabilities through various parts of society. Utilizing different
types of virtualization technologies can push this branch of
computing to even greater heights. Design and Use of Virtualization
Technology in Cloud Computing is a crucial resource that provides
in-depth discussions on the background of virtualization, and the
ways it can help shape the future of cloud computing technologies.
Highlighting relevant topics including grid computing, mobile
computing, open source virtualization, and virtualization in
education, this scholarly reference source is ideal for computer
engineers, academicians, students, and researchers that are
interested in learning more about how to infuse current cloud
computing technologies with virtualization advancements.
Cloud technologies have revolutionized the way we store information
and perform various computing tasks. With the rise of this new
technology, the ability to secure information stored on the cloud
becomes a concern. The Handbook of Research on Securing Cloud-Based
Databases with Biometric Applications explores the latest
innovations in promoting cloud security through human
authentication techniques. Exploring methods of access by
identification, including the analysis of facial features,
fingerprints, DNA, dental characteristics, and voice patterns, this
publication is designed especially for IT professionals,
academicians, and upper-level students seeking current research
surrounding cloud security.
Clouds are being positioned as the next-generation consolidated,
centralized, yet federated IT infrastructure for hosting all kinds
of IT platforms and for deploying, maintaining, and managing a
wider variety of personal, as well as professional applications and
services. Handbook of Research on Cloud Infrastructures for Big
Data Analytics focuses exclusively on the topic of cloud-sponsored
big data analytics for creating flexible and futuristic
organizations. This book helps researchers and practitioners, as
well as business entrepreneurs, to make informed decisions and
consider appropriate action to simplify and streamline the arduous
journey towards smarter enterprises.
Like electricity and water, data and computing power are necessary
commodities in the modern-day economy. A model for the effective
regulation and provisioning of computational services will follow a
similar paradigm as the existent model for traditional utilities.
Emerging Research Surrounding Power Consumption and Performance
Issues in Utility Computing explores methods of treating computing
resources and materials as a standard utility, charging customers
based on their usage and promoting competition among service
providers. Including both benefits and hindrances, as well as
theoretical concepts and practical considerations, this book
provides an in-depth discussion of the utility computing paradigm
for computer engineers, service providers, consumers, and academics
in the field of computer science. This book includes emerging
research on subjects including, but not limited to, Graphical
Processing Unit (GPU) architectures, green computing, VMware, and
device manufacturing techniques.
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