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Serves as a single resource on acoustic metamaterials and is the
first book to discuss energy harvesting from metamaterials Covers
the fundamentals of classical mechanics, quantum mechanics, and
state-of-the-art condensed matter physics principles so that
topological acoustics can be easily understood by engineers
Introduces topological behaviors, acoustics hall effects, and
applications Details smart materials and introduces different
energy harvesting mechanisms for metamaterials followed by
mechatronics packaging Explains the pros and cons of different
design methods and gives guidelines for selecting specific designs
of acoustic metamaterials with specific topological behaviors
Includes MATLAB and Python code for numerical analysis
Green Computing and Predictive Analytics for Healthcare excavates
the rudimentary concepts of Green Computing, Big Data and the
Internet of Things along with the latest research development in
the domain of healthcare. It also covers various applications and
case studies in the field of computer science with state-of-the-art
tools and technologies. The rapid growth of the population is a
challenging issue in maintaining and monitoring various experiences
of quality of service in healthcare. The coherent usage of these
limited resources in connection with optimum energy consumption has
been becoming more important. The major healthcare nodes are
gradually becoming Internet of Things-enabled, and sensors, work
data and the involvement of networking are creating smart campuses
and smart houses. The book includes chapters on the Internet of
Things and Big Data technologies. Features: Biomedical data
monitoring under the Internet of Things Environment data sensing
and analyzing Big data analytics and clustering Machine learning
techniques for sudden cardiac death prediction Robust brain tissue
segmentation Energy-efficient and green Internet of Things for
healthcare applications Blockchain technology for the healthcare
Internet of Things Advanced healthcare for domestic medical tourism
system Edge computing for data analytics This book on Green
Computing and Predictive Analytics for Healthcare aims to promote
and facilitate the exchange of research knowledge and findings
across different disciplines on the design and investigation of
healthcare data analytics. It can also be used as a textbook for a
master's course in biomedical engineering. This book will also
present new methods for medical data evaluation and the diagnosis
of different diseases to improve quality-of-life in general and for
better integration of Internet of Things into society. Dr. Sourav
Banerjee is an Assistant Professor at the Department of Computer
Science and Engineering of Kalyani Government Engineering College,
Kalyani, West Bengal, India. His research interests include Big
Data, Cloud Computing, Distributed Computing and Mobile
Communications. Dr. Chinmay Chakraborty is an Assistant Professor
at the Department of Electronics and Communication Engineering,
Birla Institute of Technology, Mesra, India. His main research
interests include the Internet of Medical Things, WBAN, Wireless
Networks, Telemedicine, m-Health/e-Health and Medical Imaging. Dr.
Kousik Dasgupta is an Assistant Professor at the Department of
Computer Science and Engineering, Kalyani Government Engineering
College, India. His research interests include Computer Vision,
AI/ML, Cloud Computing, Big Data and Security.
Introducing computational wave propagation methods developed over
40 years of research, this comprehensive book offers a
computational approach to NDE of isotropic, anisotropic, and
functionally graded materials. It discusses recent methods to
enable enhanced computational efficiency for anisotropic materials.
It offers an overview of the need for and uses of NDE simulation.
The content provides a basic understanding of ultrasonic wave
propagation through continuum mechanics and detailed discussions on
the mathematical techniques of six computational methods to
simulate NDE experiments. In this book, the pros and cons of each
individual method are discussed and guidelines for selecting
specific simulation methods for specific NDE scenarios are offered.
Covers ultrasonic CNDE fundamentals to provide understanding of NDE
simulation methods Offers a catalog of effective CNDE methods to
evaluate and compare Provides exercises on real-life NDE problems
with mathematical steps Discusses CNDE for common material types,
including isotropic, anisotropic, and functionally graded materials
Presents readers with practical knowledge on ultrasonic CNDE
methods This work is an invaluable resource for researchers,
advanced students, and industry professionals across materials,
mechanical, civil, and aerospace engineering, and anyone seeking to
enhance their understanding of computational approaches for
advanced material evaluation methods.
Dipeptidyl Peptidase-IV (DPP-IV) was found to be one of the
emerging targets in the field of antidiabetic drug development. In
recent years, Piperidone analogs have shown their application in
the field of diabetology as observed in the crystallographic
structure of DPP-IV. All the ligand molecules were designed
considering the pharmacophoric features of the GGO901
(Co-crystallised ligand of DPP-IV with the PDB entry-2OQI). It was
thought worthwhile to perform docking study by extracting the
crystallographic structure of Dipeptidyl Peptidase-IV inhibitor
with all the virtually developed molecules to ensure the better
binding energy which would be well able to explain the ligand
target interaction of novel piperidone analogs, actively inhibiting
DPP-IV enzyme. Based on the docking output, a few novel imidazole
linked piperidone analogs were synthesized & as a part of the
structure elucidation process various spectroscopic data were
collected and subsequently analysed. All the analytically proven
synthesized compounds were further sent for biological evaluation.
Many problems arising in science and engineering aim to find a
function which is the optimal value of a specified functional. Some
examples include optimal control, inverse analysis and optimal
shape design. Only some of these, regarded as variational problems,
can be solved analytically, and the only general technique is to
approximate the solution using direct methods. Unfortunately,
variational problems are very difficult to solve, and it becomes
necessary to innovate in the field of numerical methods in order to
overcome the difficulties. The objective of this PhD Thesis is to
develop a conceptual theory of neural networks from the perspective
of functional analysis and variational calculus. Within this
formulation, learning means to solve a variational problem by
minimizing an objective functional associated to the neural
network. The choice of the objective functional depends on the
particular application. On the other side, its evaluation might
need the integration of functions, ordinary differential equations
or partial differential equations. As it will be shown, neural
networks are able to deal with a wide range of applications in
mathematics and physics.
Critical Essays on English and Bengali Detective Fiction brings
together three strains of detective fiction: British, American, and
Bengal. The import of detective fiction from Britain has influenced
generations of writers of Bengali detective fiction. In this
anthology of critical essays by scholars on detective fiction, we
have divided the contents into three groups. First, there are
essays on classic British detective fiction, with essays on Charles
Dickens, Wilkie Collins, Arthur Conan Doyle, Agatha Christie,
P.D.James, Kate Atkinson, and Margery Allingham. The second section
is on American hard-boiled fiction with essays on Dashiell Hammett
and Raymond Chandler. The third section is on Bengali detective
fiction with essays on Hemendra Kumar Roy, Saradindu Bandyopadhay
and Satyajit Ray. Together, these essays bring three strains of
detective fiction into conversation to show the gradual
postcolonial attempt of Bengali detective fiction to outgrow
colonial influences and create an original and organic tradition of
regional and vernacular detective fiction.
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