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This new volume explores the important and cutting-edge roles that
nanotechnology can play in facilitating sustainable agriculture. It
provides recent updates on nanobiotechnology in soil science, plant
breeding, food science, agricultural tool design and utilization,
as well as the impacts of such approaches on properties of soils
and plants and other environmental factors. The volume looks at the
many roles of nanotechnology as a state-of-the art tool in
sustainable agriculture, such as for crop production and
protection, in the creation and application of nano-pesticides, to
enhance soil fertility and soil health for improved plant growth,
as plant protective agents against pathogenic microbes and pests,
as a mitigating factor of plant abiotic stress, and more. It also
discusses the behavior of nanomaterials in soil and interaction
with soil biota. The volume goes on to explore emerging
nanotechnological tools and techniques for crop improvement, which
include space-inspired speed breeding for crop improvement,
nanoparticles as sensing materials, plant nanobionics, nanopore DNA
sequencing, and more. Nanotechnology for Sustainable Agriculture:
An Innovative and Eco-Friendly Approach will be an important
resource on sustainable agriculture and crop improvement with the
help of the recent and emerging tools of nanotechnology.
Bodh Gaya in the North Indian state of Bihar has long been
recognized as the place where the Buddha achieved enlightenment.
This book brings together the recent work of twelve scholars from a
variety of disciplines - anthropology, art history, history, and
religion - to highlight their various findings and perspectives on
different facets of Bodh Gaya's past and present. Through an
engaging and critical overview of the place of Buddha's
enlightenment, the book discusses the dynamic and contested nature
of this site, and looks at the tensions with the on-going efforts
to define the place according to particular histories or
identities. It addresses many aspects of Bodh Gaya, from
speculation about why the Buddha chose to sit beneath a tree in
Bodh Gaya, to the contemporary struggles over tourism development,
education and non-government organizations, to bring to the
foreground the site's longevity, reinvention and current complexity
as a UNESCO World Heritage monument. The book is a useful
contribution for students and scholars of Buddhism and South Asian
Studies.
Bodh Gaya in the North Indian state of Bihar has long been
recognized as the place where the Buddha achieved enlightenment.
This book brings together the recent work of twelve scholars from a
variety of disciplines - anthropology, art history, history, and
religion to highlight their various findings and perspectives on
different facets of Bodh Gaya s past and present.
Through an engaging and critical overview of the place of Buddha
s enlightenment, the book discusses the dynamic and contested
nature of this site, and looks at the tensions with the on-going
efforts to define the place according to particular histories or
identities. It addresses many aspects of Bodh Gaya, from
speculation about why the Buddha chose to sit beneath a tree in
Bodh Gaya, to the contemporary struggles over tourism development,
education and non-government organizations, to bring to the
foreground the site's longevity, reinvention and current complexity
as a UNESCO World Heritage monument. The book is a useful
contribution for students and scholars of Buddhism and South Asian
Studies.
Vulnerability analysis, also known as vulnerability assessment,
is a process that defines, identifies, and classifies the security
holes, or vulnerabilities, in a computer, network, or application.
In addition, vulnerability analysis can forecast the effectiveness
of proposed countermeasures and evaluate their actual effectiveness
after they are put into use. Vulnerability Analysis and Defense for
the Internet provides packet captures, flow charts and pseudo code,
which enable a user to identify if an application/protocol is
vulnerable. This edited volume also includes case studies that
discuss the latest exploits.
Vulnerability analysis, also known as vulnerability assessment, is
a process that defines, identifies, and classifies the security
holes, or vulnerabilities, in a computer, network, or application.
In addition, vulnerability analysis can forecast the effectiveness
of proposed countermeasures and evaluate their actual effectiveness
after they are put into use. Vulnerability Analysis and Defense for
the Internet provides packet captures, flow charts and pseudo code,
which enable a user to identify if an application/protocol is
vulnerable. This edited volume also includes case studies that
discuss the latest exploits.
Explore the adoption of chatbots in business by focusing on the
design, deployment, and continuous improvement of chatbots in a
business, with a single use-case from the banking and insurance
sector. This book starts by identifying the business processes in
the banking and insurance industry. This involves data collection
from sources such as conversations from customer service centers,
online chats, emails, and other NLP sources. You'll then design the
solution architecture of the chatbot. Once the architecture is
framed, the author goes on to explain natural language
understanding (NLU), natural language processing (NLP), and natural
language generation (NLG) with examples. In the next sections,
you'll design and implement the backend framework of a typical
chatbot from scratch. You will also explore some popular
open-source chatbot frameworks such as Dialogflow and LUIS. The
authors then explain how you can integrate various third-party
services and enterprise databases with the custom chatbot
framework. In the final section, you'll discuss how to deploy the
custom chatbot framework on the AWS cloud. By the end of Building
an Enterprise Chatbot, you will be able to design and develop an
enterprise-ready conversational chatbot using an open source
development platform to serve the end user. What You Will Learn
Identify business processes where chatbots could be used Focus on
building a chatbot for one industry and one use-case rather than
building a ubiquitous and generic chatbot Design the solution
architecture for a chatbot Integrate chatbots with internal data
sources using APIs Discover the differences between natural
language understanding (NLU), natural language processing (NLP),
and natural language generation (NLG) Work with deployment and
continuous improvement through representational learning Who This
Book Is ForData scientists and enterprise architects who are
currently looking to deploy chatbot solutions to their business.
Currently, relativistic quantum mechanics is considered an advanced
topic only accessible to students who have already received
considerable training in non-relativistic quantum mechanics.
However, the authors believe that they have found an excellent
pedagogic approach for simultaneously introducing both topics. This
book is considered an Introductory Quantum Mechanics textbook that
presents relativistic quantum mechanics to interested learners with
no previous knowledge of it. The authors avoid utilization of the
well-known Lorentz invariant equations. Additionally, they only
refer to the Klein-Gordon and Dirac equations to justify the use of
the Poveda-Poirier-Grave de Peralta (PPGP) equations, upon which
this book is solely based (while sporadically referring to
well-known results obtained using the Klein-Gordon and Dirac
equations to avoid unnecessary complications in an introductory
book). There also exist two complementary Schrödinger-like and
Pauli-like PPGP equations, the solutions of which are identical to
the respective solutions of the Klein-Gordon and Dirac equations
associated with negative kinetic energies. These equations’
relation to the existence of antiparticles is discussed. The
intended readership is undergraduate physics, chemistry, and
engineering students with no previous knowledge of quantum
mechanics, as well as graduate students and professionals
interested in the subject.
This book comprises select papers presented at the conference on
Technology Innovation in Mechanical Engineering (TIME-2021). The
book discusses the latest innovation and advanced research in the
diverse field of Mechanical Engineering such as materials,
manufacturing processes, evaluation of materials properties for the
application in automotive, aerospace, marine, locomotive and energy
sectors. The topics covered include  advanced metal forming,
Energy Efficient systems, Material Characterization, Advanced metal
forming, bending, welding & casting techniques, Composite and
Polymer Manufacturing, Intermetallics, Future generation materials,
Laser Based Manufacturing, High-Energy Beam Processing, Nano
materials, Smart Material, Super Alloys, Powder Metallurgy and
Ceramic Forming, Aerodynamics, Biological Heat & Mass Transfer,
Combustion & Propulsion, Cryogenics, Fire Dynamics,
Refrigeration & Air Conditioning, Sensors and Transducers,
Turbulent Flows, Reactive Flows, Numerical Heat Transfer, Phase
Change Materials, Micro- and Nano-scale Transport, Multi-phase
Flows, Nuclear & Space Applications, Flexible Manufacturing
Technology & System, Non-Traditional Machining processes,
Structural Strength and Robustness, Vibration, Noise Analysis and
Control, Tribology. In addition, it discusses industrial
applications and cover theoretical and analytical methods,
numerical simulations and experimental techniques in the area of
Mechanical Engineering. The book will be helpful for academics,
including graduate students and researchers, as well as
professionals interested in interdisciplinary topics in the areas
of materials, manufacturing, and energy sectors.
Examine the latest technological advancements in building a
scalable machine-learning model with big data using R. This second
edition shows you how to work with a machine-learning algorithm and
use it to build a ML model from raw data. You will see how to use R
programming with TensorFlow, thus avoiding the effort of learning
Python if you are only comfortable with R. As in the first edition,
the authors have kept the fine balance of theory and application of
machine learning through various real-world use-cases which gives
you a comprehensive collection of topics in machine learning. New
chapters in this edition cover time series models and deep
learning. What You'll Learn Understand machine learning algorithms
using R Master the process of building machine-learning models
Cover the theoretical foundations of machine-learning algorithms
See industry focused real-world use cases Tackle time series
modeling in R Apply deep learning using Keras and TensorFlow in R
Who This Book is For Data scientists, data science professionals,
and researchers in academia who want to understand the nuances of
machine-learning approaches/algorithms in practice using R.
This book comprises select papers presented at the conference on
Technology Innovation in Mechanical Engineering (TIME-2021). The
book discusses the latest innovation and advanced research in the
diverse field of Mechanical Engineering such as materials,
manufacturing processes, evaluation of materials properties for the
application in automotive, aerospace, marine, locomotive and energy
sectors. The topics covered include advanced metal forming, Energy
Efficient systems, Material Characterization, Advanced metal
forming, bending, welding & casting techniques, Composite and
Polymer Manufacturing, Intermetallics, Future generation materials,
Laser Based Manufacturing, High-Energy Beam Processing, Nano
materials, Smart Material, Super Alloys, Powder Metallurgy and
Ceramic Forming, Aerodynamics, Biological Heat & Mass Transfer,
Combustion & Propulsion, Cryogenics, Fire Dynamics,
Refrigeration & Air Conditioning, Sensors and Transducers,
Turbulent Flows, Reactive Flows, Numerical Heat Transfer, Phase
Change Materials, Micro- and Nano-scale Transport, Multi-phase
Flows, Nuclear & Space Applications, Flexible Manufacturing
Technology & System, Non-Traditional Machining processes,
Structural Strength and Robustness, Vibration, Noise Analysis and
Control, Tribology. In addition, it discusses industrial
applications and cover theoretical and analytical methods,
numerical simulations and experimental techniques in the area of
Mechanical Engineering. The book will be helpful for academics,
including graduate students and researchers, as well as
professionals interested in interdisciplinary topics in the areas
of materials, manufacturing, and energy sectors.
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