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.