|
Showing 1 - 12 of
12 matches in All Departments
The significant objective of this edited book is to bridge the gap
between smart manufacturing and big data by exploring the
challenges and limitations. Companies employ big data technology in
the manufacturing field to acquire data about the products.
Manufacturing companies could gain a deep business insight by
tracking customer details, monitoring fuel consumption, detecting
product defects, and supply chain management. Moreover, the
convergence of smart manufacturing and big data analytics currently
suffers due to data privacy concern, short of qualified personnel,
inadequate investment, long-term storage management of high-quality
data. The technological advancement makes the data storage more
accessible, cheaper and the convergence of these technologies seems
to be more promising in the recent era. This book identified the
innovative challenges in the industrial domains by integrating
heterogeneous data sources such as structured data, semi-structures
data, geo-spatial data, textual information, multimedia data,
social networking data, etc. It promotes data-driven business
modelling processes by adopting big data technologies in the
manufacturing industry. Big data analytics is emerging as a
promising discipline in the manufacturing industry to build the
rigid industrial data platforms. Moreover, big data facilitates
process automation in the complete lifecycle of product design and
tracking. This book is an essential guide and reference since it
synthesizes interdisciplinary theoretical concepts, definitions,
and models, involved in smart manufacturing domain. It also
provides real-world scenarios and applications, making it
accessible to a wider interdisciplinary audience. Features The
readers will get an overview about the smart manufacturing system
which enables optimized manufacturing processes and benefits the
users by increasing overall profit The researchers will get insight
about how the big data technology leverages in finding new
associations, factors and patterns through data stream observations
in real time smart manufacturing systems The industrialist can get
an overview about the detection of defects in design, rapid
response to market, innovative products to meet the customer
requirement which can benefit their per capita income in better way
Discusses technical viewpoints, concepts, theories, and underlying
assumptions that are used in smart manufacturing Information
delivered in a user-friendly manner for students, researchers,
industrial experts, and business innovators, as well as for
professionals and practitioners
This book presents a framework for integrating blended learning and
massive open online courses (MOOCs) in the Indian education system.
It argues that blended teaching and learning is the most suitable
approach to education in a post-COVID-19 world. Drawing on case
studies used in blended learning practices around the world, the
book provides ample resources for beginners to improvise the spread
of knowledge around information technology in higher education. It
discusses various concepts such as flip learning in blended
learning models and examines the self-assessment tools and
structures it offers to institutions for building competencies. In
addition to addressing the challenges and opportunities of adopting
the digital mode of teaching, the book also offers techniques and
concepts helpful for designing MOOCs. It covers concepts such as
curriculum designing, content flow, teaching behavior, and
evaluation patterns, which are important aspects of online
teaching. An indispensable guide to navigating the shift from
offline to online teaching, this book will be of interest to
students, teachers, and researchers of education, education
technology, digital education, and information technology. It will
also be useful to policymakers, educational institutions, EdTech
start-ups, NGOs in the education sector, and online education
centers.
This book presents a framework for integrating blended learning and
massive open online courses (MOOCs) in the Indian education system.
It argues that blended teaching and learning is the most suitable
approach to education in a post-COVID-19 world. Drawing on case
studies used in blended learning practices around the world, the
book provides ample resources for beginners to improvise the spread
of knowledge around information technology in higher education. It
discusses various concepts such as flip learning in blended
learning models and examines the self-assessment tools and
structures it offers to institutions for building competencies. In
addition to addressing the challenges and opportunities of adopting
the digital mode of teaching, the book also offers techniques and
concepts helpful for designing MOOCs. It covers concepts such as
curriculum designing, content flow, teaching behavior, and
evaluation patterns, which are important aspects of online
teaching. An indispensable guide to navigating the shift from
offline to online teaching, this book will be of interest to
students, teachers, and researchers of education, education
technology, digital education, and information technology. It will
also be useful to policymakers, educational institutions, EdTech
start-ups, NGOs in the education sector, and online education
centers.
This comprehensive and timely book, New Age Analytics: Transforming
the Internet through Machine Learning, IoT, and Trust Modeling,
explores the importance of tools and techniques used in machine
learning, big data mining, and more. The book explains how
advancements in the world of the web have been achieved and how the
experiences of users can be analyzed. It looks at data gathering by
the various electronic means and explores techniques for analysis
and management, how to manage voluminous data, user responses, and
more. This volume provides an abundance of valuable information for
professionals and researchers working in the field of business
analytics, big data, social network data, computer science,
analytical engineering, and forensic analysis. Moreover, the book
provides insights and support from both practitioners and academia
in order to highlight the most debated aspects in the field.
This powerful new volume explores the diverse and sometimes
unexpected roles that IoT and AI technologies played during the
recent COVID-19 global pandemic. The book discusses the how
existing and new state-of-the art technology has been and can be
applied for global health crises in a multitude of ways. The
chapters in Pandemic Detection and Analysis through Smart Computing
Technologies look at exciting technological solutions for virus
detection, prediction, classification, prevention, and
communication outreach. The book considers the various modes of
transmission of the virus as well as how technology has been
implemented for personalized healthcare systems and how it can be
used for future pandemics. The huge importance of social and mobile
communication and networks during the pandemic is addressed such as
in business, education, and healthcare; in research and
development; for health information and outreach; in social life;
and more. A chapter also addresses using smart computing for
forecasting the damage caused by COVID-19 using time series
analyses. This up-to-the-minute volume illuminates on the many ways
AI, IoT, machine learning, and other technologies have important
roles in the diverse challenges faced during COVID-19 and how they
can be enhanced for future pandemic situations. The volume will be
of high interest to those in different fields of computer science
and other domains as well as to data scientists, government
agencies and policymakers, doctors and healthcare professionals,
engineers, economists, and many other professionals. This book will
also be very helpful to faculty, students, and research scholars in
understanding the pre- and post-effect of this pandemic.
This comprehensive and timely book, New Age Analytics: Transforming
the Internet through Machine Learning, IoT, and Trust Modeling,
explores the importance of tools and techniques used in machine
learning, big data mining, and more. The book explains how
advancements in the world of the web have been achieved and how the
experiences of users can be analyzed. It looks at data gathering by
the various electronic means and explores techniques for analysis
and management, how to manage voluminous data, user responses, and
more. This volume provides an abundance of valuable information for
professionals and researchers working in the field of business
analytics, big data, social network data, computer science,
analytical engineering, and forensic analysis. Moreover, the book
provides insights and support from both practitioners and academia
in order to highlight the most debated aspects in the field.
Wireless Sensor Networks (WSNs) have gained a lot of importance in
the past few years. It has a tremendous application in the area of
habitat monitoring, forest firing, medical etc. In most WSN
applications the energy source is a battery and energy plays an
important role in such applications. Therefore, preserving the
energy of each node is an important goal during the development of
a routing protocol for WSN. There are different routing protocols
for WSN operate at minimum energy dissipation increasing the
network lifetime. This book contains four chapters. Chapter 1
covers the general overview of Wireless Sensor Network, their
design criteria, applications and advantages/disadvantages of
sensor networks. The overview and classifications of routing
techniques are described in Chapter 2. Chapter 3 contains the
detailed description about LEACH routing protocol. It also focuses
on the working and design methodology of various modified versions
of LEACH. Chapter 4 presents a case study on the EEE LEACH
protocol. Different performance metrics with respect to clustering
protocols and vital parameters for routing have been considered.
Globalization offers each and every member of society clear
economic opportunities and benefits but it comes with substantial
social costs that often appear to affect young people more as they
are in their tenuous transitional status within an uncertain and
rapidly evolving global context. Hence this book explores the
Indian Youth experiences with globalization and its co-relationship
with the law of the land. The book gives an insight to the
ambiguities and contradictions that characterizes globalization,
providing an assessment of its different implications on Indian
Youth, its contribution to local-global tensions and its tendency
to simultaneously promote linkages and divisions, inclusion and
exclusion and connectedness and isolation.
The objective of drug discovery phase is to synthesize lead
compounds, new analogs with improved potency, reduced off target
activities, and physiochemical/metabolic properties suggestive of
reasonable in vivo pharmacokinetics. This optimization is
accomplished through empirical modification of the hit structure
and/or by employing structure-based design if structural
information about the target is available. The goal of present work
is to design drug with minimum side effect and maximum potency. 2D
QSAR is planned using Multiple Linear Regression Analysis, for
achieving the goal, which can help in recognizing the important
descriptor that can help in increasing the potency of anticancer
drugs.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Morbius
Jared Leto, Matt Smith, …
DVD
R179
Discovery Miles 1 790
Poor Things
Emma Stone, Mark Ruffalo, …
DVD
R449
R329
Discovery Miles 3 290
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|