At the outset, the author of the book welcomes his supervisor Prof. Prof (Dr.) G. S. Roy who has joined me as coauthors of this text, a credit which would have been given earlier to them as they were helping in a latent way in the evolution of the book for the past five years. Five years have elapsed on the intellectual journey of writing a PhD thesis e-book in title “Hall Effect on the Magnetohydrodynamic Flow of Some Newtonian and Non-Newtonian Conducting Fluids” in subject of physics. As Magnetohydrodynamic Flow is growing at a dazzling pace, this edition has been demanding in a different way. In this 1st edition, the book has been thoroughly described, enlarged and updated with Magnetohydrodynamic Flow. Gratitude is expressed to the students and teachers, both from India and abroad, who have sent in their valuable suggestions which have been given due consideration. We are sincerely thankful to our publisher, Newredmars Education. We are also deeply indebted to my guide Prof. Dr. G. S. Roy for his sustained support of this endeavour from its inception; his wisdom has made all the difference. Healthy criticism and suggestions for further improvement of the book are solicited.
This book can be regarded as 'Soft computing for physicists and chemists self-taught'. It prepares the readers with a solid background of soft computing and how to adapt soft computing techniques to problem solving in physical and chemical research. Soft computing methods have been little explored by researchers in physical and chemical sciences primarily because of the absence of books that bridge the gap between the traditional computing paradigm pursued by researchers in science and the new soft computing paradigm that has emerged in computer science. This book is the interface between these primary sources and researchers in physics and chemistry.
Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for Pattern Recognition covers a broad range of applications in science and technology, describing the integration of genetic algorithms in pattern recognition and machine learning problems to build intelligent recognition systems. The articles, written by leading experts from around the world, accomplish several objectives: they provide insight into the theory of genetic algorithms; they develop pattern recognition theory in light of genetic algorithms; and they illustrate applications in artificial neural networks and fuzzy logic. The cross-sectional view of current research presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.
The way organizations manage their value chain has changed dramatically over the past decade. Today, organizations take account of economic issues, but they also adopt a broader perspective of their purpose including social and environmental issues. Yet despite its global spread, sustainable value chain management remains an uncertain and poorly defined ambition, with few absolutes. The social and environmental issues that organizations should address easily can be interpreted as including virtually everything. Current literature on the topic seeks to understand the effects and management of initiatives dealing with diversity, human rights, safety, philanthropy, community, and environment. However, the penetration of social and environmental considerations into value chain management is described as ’desire lacking reality’ thereby making the idea a patchy success. The objective of this research anthology is to investigate different angles of sustainable value chain management. The book’s 27 chapters fill holes and explore new fields; the chapters are organised in five sections: Sustainable value chains - context, drivers, and barriers; Sustainable value chains - managing activities; Sustainable value chains - managing networks and collaboration; Sustainable value chains - integrative perspectives; and Sustainable value chains - specific sectorial and industry perspectives.
The new edition of this comprehensive guide provides students with the latest information and advances in medical microbiology. Divided into seven sections, the book begins with discussion on general microbiology, followed by immunology, systematic bacteriology, virology and mycology. The second edition has been fully revised and features two new sections covering hospital acquired infections and clinical microbiology. The extensive text is further enhanced by more than 600 clinical photographs, diagrams and tables. The book concludes with annexures on emerging and re-emerging infections, bioterrorism, laboratory acquired infections, and zoonosis (the transmission of disease between humans and animals). Key points Comprehensive guide to medical microbiology for students Fully revised, second edition featuring many new topics Highly illustrated with clinical photographs, diagrams and tables Previous edition (9789351529873) published in 2015
This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications. The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research. The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike. Contents: Pattern Recognition: Multiple Classifier Systems; Building Decision Trees from the Fourier Spectrum of a Tree Ensemble; Clustering Large Data Sets; Multi-objective Variable String Genetic Classifier: Application to Remote Sensing Imagery; Image Processing and Vision: Dissimilarity Measures Between Fuzzy Sets or Fuzzy Structures; Early Vision: Concepts and Algorithms; Self-organizing Neural Network for Multi-level Image Segmentation; Geometric Transformation by Moment Method with Wavelet Matrix; New Computationally Efficient Algorithms for Video Coding; Soft Computing for Computational Media Aesthetics: Analyzing Video Content for Meaning; Granular Computing and Case Based Reasoning: Towards Granular Multi-agent Systems; Granular Computing and Pattern Recognition; Case Base Maintenance: A Soft Computing Perspective; Real Life Applications: Autoassociative Neural Network Models for Pattern Recognition Tasks in Speech and Image; Protein Structure Prediction Using Soft Computing; Pattern Classification for Biological Data Mining. Readership: Upper level undergraduates, graduates, researchers, academics and industrialists.
The Ultrastructure of Human Tumours: Applications in Diagnosis and Research describes the core features as seen by transmission electron microscopy, defining the different types of cellular differentiation in tumours; this is relevant for tumour nomenclature and diagnosis, which, in turn, are important for tumour pathologists in their collaboration with oncologists for the treatment of cancer patients. The book is divided into 8 chapters. Following an introduction on technique and procedure, there are chapters on epithelial tumours, melanocytic lesions, soft-tissue and related tumours, lymphoma and leukaemia, CNS neoplasms and neuroendocrine and neuronal tumours. Each chapter includes an introductory text that puts the ultrastructural features in the context of classical pathology. The book includes many new findings and interpretations from well-known tumours, as well as ultrastructural information on several newly described tumour entities not dealt with in existing tumour ultrastructure monographs. The book will especially be of value to tumour pathologists who need to solve problem cases with the aid of electron microscopy, but also to cancer research and tissue engineering scientists working to develop anti-cancer and stem-cell-based therapies. However, even those without access to electron microscopy may also benefit from this book, since many of the images provide an ‘explanation’ of the appearances of cells, tissues and tumours familiar to pathologists and scientists from light microscopy. In this respect, it is hoped that this book will stimulate the wider use of electron microscopy in pathology. The book is comprehensively referenced, 680 pages long and lavishly illustrated with 757 figures. Dr. Brian Eyden is Consultant Clinical Scientist and Dr. S. Sankar Banerjee Consultant Histopathologist in the Department of Histopathology, Christie NHS Foundation Trust, Manchester, UK; Dr. Yongxin Ru is Director of the Department of Electron Microscopy, Institute of Hematology and Blood Diseases Hospital, Tianjin, China; Paweł Liberski is Professor in the Department of Molecular Pathology and Neuropathology, Medical University Łódź, Poland.
This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, Pattern Recognition: From Classical to Modern Approaches is a very useful resource. Contents: Pattern Recognition: Evolution of Methodologies and Data Mining (A Pal & S K Pal); Adaptive Stochastic Algorithms for Pattern Classification (M A L Thathachar & P S Sastry); Shape in Images (K V Mardia); Decision Trees for Classification: A Review and Some New Results (R Kothari & M Dong); Syntactic Pattern Recognition (A K Majumder & A K Ray); Fuzzy Sets as a Logic Canvas for Pattern Recognition (W Pedrycz & N Pizzi); Neural Network Based Pattern Recognition (V David Sanchez A); Networks of Spiking Neurons in Data Mining (K Cios & D M Sala); Genetic Algorithms, Pattern Classification and Neural Networks Design (S Bandyopadhyay et al.); Rough Sets in Pattern Recognition (A Skowron & R Swiniarski); Automated Generation of Qualitative Representations of Complex Objects by Hybrid Soft-Computing Methods (E H Ruspini & I S Zwir); Writing Speed and Writing Sequence Invariant On-line Handwriting Recognition (S-H Cha & S N Srihari); Tongue Diagnosis Based on Biometric Pattern Recognition Technology (K Wang et al.); and other papers. Readership: Graduate students, researchers and academics in pattern recognition.
The book covers the local history of Vanchiyoor ward in Thiruvanthapuram City. This book is organised into 23 chapters. Dr. Shashi Tharoor (Member of Parliment, India) has hailed the book as a breakthrough acheivement and a unique contribution. The book is divided into 23 chapters and start with a general overview of local Histoy and go on to cover the early and recent history of vanchiyoor, its place names and sketch important instituions in the area, which have crossed a century. Two famous agitations have taken place in Vanchiyoor (District court) which features in these chapters. the book also deals with thirteen Temples, Mosques and Churches some of which have are ancient. A brief study of communities is also portrayed in the books. In Chapter 17 , a study into 55 instutions having rich history of over 100 years can alos be seen. A biographical sketch of over 50 personalities can be seen in chapter 18. Chapter 19 is a unique one , it deals with flora, fauna and water bodies, a history of nature of sorts. The last chapter "Miscellany" is a confetti of nearly 50 brief notes on variety of matters, as varied as indigenous food like 'ada' and 'Seva', to noise pollution, to 'Kadathinna', to 'Hanuman Padaram'. "A minature picture of Travancore from collective memory, oral history and archival sources." - Manu Pillai
In a technology driven civilization the quest for new and smarter materials is everlasting. They are required as platforms for developing new technologies or for improving an already existing technology. The discovery of a new material is no longer chance driven or accidental, but is based on careful reasoning structured by deep understanding of the microconstituents of materials - the atoms and molecules in isolation or in an assembly. That requires fair amount of exposure to quantum and statistical mechanics. `Understanding Properties of Atoms, Molecules and Materials' is an effort (perhaps the first ever) to bring all the necessary theoretical ingredients and relevant physical information in a single volume. The book introduces the readers (first year graduates) or researchers in material chemistry/engineering to elementary quantum mechanics of atoms, molecules and solids and then goes on to make them acquainted with methods of statistical mechanics (classical as well as quantum) along with elementary principles of classical MD simulation. The basic concepts are introduced with clarity and illustrated with easy to grasp examples, thus preparing the readers for an exploration through the world of materials - the exotic and the mundane. The emphasis has been on the phenomena and what shapes them at the fundamental level. A comprehensive description of modern designing principles for materials with examples is a unique feature of the book. The highlights of the book are comprehensive introduction and analysis of Quantum states of atoms and molecules The translational symmetry and quantum states in periodic and amorphous solids Band structure and tuning Classical and quantum statistics with applications to ideal gases (photons, phonons and electrons, molecules) Quantum states in type-I and type-II superconductors (elementary theory included) Magnetic materials, materials with GMR and CMR Shape memory effects in alloys and materials 2D materials (graphene and graphene analogus) NLO and photovoltaic materials Hydrogen storage material for mitigating the looming energy crisis Quantum states in low and high band gap semiconductors Semimetals Designer materials, etc. The volume is designed and organized to create interest in the science of materials and the silent revolution that is redefining the goals and boundaries of materials science continuously.
This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as object tracking from videos in constrained situations, occlusion/overlapping handling, measuring of the reliability of tracking methods, object recognition and linguistic interpretation in video scenes, and event prediction from videos, are the addressed in this volume. The book also looks at ways to reduce data dependency in the context of unsupervised (without manual interaction/ labeled data/ prior information) training.This book may be used both as a textbook and reference book for graduate students and researchers in computer science, electrical engineering, system science, data science, and information technology, and is recommended for both students and practitioners working in computer vision, machine learning, video analytics, image analytics, artificial intelligence, system design, rough set theory, granular computing, and soft computing.
GeoComputation and Public Health is fundamentally a multi-disciplinary book, which presents an overview and case studies to exemplify numerous methods and solicitations in addressing vectors borne diseases (e.g, Visceral leishmaniasis, Malaria, Filaria). This book includes a practical coverage of the use of spatial analysis techniques in vector-borne disease using open source software solutions. Environmental factors (relief characters, climatology, ecology, vegetation, water bodies etc.) and socio-economic issues (housing type & pattern, education level, economic status, income level, domestics’ animals, census data, etc) are investigated at micro -level and large scale in addressing the various vector-borne disease. This book will also generate a framework for interdisciplinary discussion, latest innovations, and discoveries on public health. The first section of the book highlights the basic and principal aspects of advanced computational practices. Other sections of the book contain geo-simulation, agent-based modeling, spatio-temporal analysis, geospatial data mining, various geocomputational applications, accuracy and uncertainty of geospatial models, applications in environmental, ecological, and biological modeling and analysis in public health research. This book will be useful to the postgraduate students of geography, remote sensing, ecology, environmental sciences and research scholars, along with health professionals looking to solve grand challenges and management on public health.
Introduces the basic concepts of FEM in an easy-to-use format so that students and professionals can use the method efficiently and interpret results properly Finite element method (FEM) is a powerful tool for solving engineering problems both in solid structural mechanics and fluid mechanics. This book presents all of the theoretical aspects of FEM that students of engineering will need. It eliminates overlong math equations in favour of basic concepts, and reviews of the mathematics and mechanics of materials in order to illustrate the concepts of FEM. It introduces these concepts by including examples using six different commercial programs online. The all-new, second edition of Introduction to Finite Element Analysis and Design provides many more exercise problems than the first edition. It includes a significant amount of material in modelling issues by using several practical examples from engineering applications. The book features new coverage of buckling of beams and frames and extends heat transfer analyses from 1D (in the previous edition) to 2D. It also covers 3D solid element and its application, as well as 2D. Additionally, readers will find an increase in coverage of finite element analysis of dynamic problems. There is also a companion website with examples that are concurrent with the most recent version of the commercial programs. Offers elaborate explanations of basic finite element procedures Delivers clear explanations of the capabilities and limitations of finite element analysis Includes application examples and tutorials for commercial finite element software, such as MATLAB, ANSYS, ABAQUS and NASTRAN Provides numerous examples and exercise problems Comes with a complete solution manual and results of several engineering design projects Introduction to Finite Element Analysis and Design, 2nd Edition is an excellent text for junior and senior level undergraduate students and beginning graduate students in mechanical, civil, aerospace, biomedical engineering, industrial engineering and engineering mechanics.
This valuable text addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. Organized into eight chapters, the book begins by introducing PR, data mining, and knowledge discovery concepts. The authors proceed to analyze the tasks of multi-scale data condensation and dimensionality reduction. Then they explore the problem of learning with support vector machine (SVM), and conclude by highlighting the significance of granular computing for different mining tasks in a soft paradigm.
Derived from Sam W. Wiesel’s four-volume Operative Techniques in Orthopaedic Surgery, this single-volume resource contains the user-friendly, step-by-step information you need to confidently perform the full range of operative techniques in pediatric orthopaedic surgery. In one convenient place, you’ll find the entire Pediatrics section, as well as relevant chapters from the Adult Reconstruction; Hand, Wrist, and Forearm; Pelvis and Lower Extremity Trauma; Shoulder and Elbow; Spine; and Sports Medicine sections of Operative Techniques in Orthopaedic Surgery. Superb full-color illustrations and step-by-step explanations help you master surgical techniques, select the best procedure, avoid complications, and anticipate outcomes. Written by global experts from leading institutions, Operative Techniques in Pediatric Orthopaedic Surgery, 2nd Edition, provides authoritative, easy-to-follow guidance to both the novice trainee or experienced surgeon.
Provides a self-contained description of this important aspect of information processing and decision support technology. Presents basic definitions, principles, applications, and a detailed bibliography. Covers a range of real-world examples including control, data mining, and pattern recognition.
Neural networks (NNs) and systolic arrays (SAs) have many similar features. This volume describes, in a unified way, the basic concepts, theories and characteristic features of integrating or formulating different facets of NNs and SAs, as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications. The book will be useful to graduate students and researchers in many related areas, not only as a reference book but also as a textbook for some parts of the curriculum. It will also benefit researchers and practitioners in industry and R&D laboratories who are working in the fields of system design, VLSI, parallel processing, neural networks, and vision.
Beginning with an introduction to the basic anatomy of the liver and biliary tract, this book discusses the peri-operative management of different disorders and conditions that may affect the liver and ultimately lead to hepatic failure, for example, alcoholic liver disease, hepatorenal syndrome, endocrine dysfunction and liver disease in pregnancy. Rare hepatobiliary diseases with significant morbidity are discussed, as are future prospects such as a liver support system with the potential to revolutionise the management of end stage liver disease.
The book explains concepts and ideas of mathematics and physics that are relevant for advanced students and researchers of condensed matter physics. With this aim, a brief intuitive introduction to many-body theory is given as a powerful qualitative tool for understanding complex systems. The important emergent concept of a quasiparticle is then introduced as a way to reduce a many-body problem to a single particle quantum problem. Examples of quasiparticles in graphene, superconductors, superfluids and in a topological insulator on a superconductor are discussed.The mathematical idea of self-adjoint extension, which allows short distance information to be included in an effective long distance theory through boundary conditions, is introduced through simple examples and then applied extensively to analyse and predict new physical consequences for graphene.The mathematical discipline of topology is introduced in an intuitive way and is then combined with the methods of differential geometry to show how the emergence of gapless states can be understood. Practical ways of carrying out topological calculations are described.
Corporate failures and accounting scandals have shaken the foundations of investors’ confidence in the transparency, integrity and accountability of corporations and financial markets. There have also been public disquiet about the role of professional auditors and audit firms, who had been associated with these corporate scandals. Written from a global perspective, the book assists in understanding the gravity of independent attitude of statutory auditors in protecting stakeholders’ interest and examines the effectiveness of the existing standards and other legal and regulatory requirements in enforcing statutory auditors’ independent engagement. It then suggests modifications in those regulations. The study has been made through seven chapters in order to address empirically statutory auditors’ independence in protecting stakeholders’ interest. Primary audiences of the book are researchers in finance and control, students, and professionals in the field of accounting and auditing.
Nanotechnology has progressed to the point where it can mimic natural systems such as porous membranes or the structure of leaves. Technological advances have resulted in a boom in the use of nanotechnology in different areas of engineering, including water purification systems. This book explores nanomaterials used for removing various textile dyes from water. It compiles 8 chapters that discuss the materials and nano systems used in these processes. This reference is designed to provide answers to common questions for scholars, academicians and technologists about fundamentals of nanoscience and nanomaterial induced removal of textile dyes. College students (physics, chemistry and materials science, engineering) will be able to easily understand the subject matter. Key Features: - Covers the basics of nano systems, from synthesis to applications - Explains the basics of nanomaterial behavior and characterization - Describes the classifications of dyes - Explains the interactions nanomaterials with different dyes - Explains the reaction mechanisms of photocatalysis and the kinetics behind adsorption - two important methods for removing dyes from water - Discusses nano systems that are useful for textile dye removal from water. 3 types of nano systems are included: carbon based, oxide based, polymer based or nitride based systems - Includes references for further reading - Simple presentation for easy and quick understanding of the subject.
Horticultural crops include fruits, vegetables, flowers, plantation crops, spices, condiments, medicinal and aromatic plants. Production and consumption of high-quality fruits and vegetables allow us to maintain a healthy, balanced daily diet. Besides, offering visual enjoyments and promoting recreational activities. The present book “Fundamental of horticulture at a glance” is a compilation work that provides an overview of concise and points-wise information on basic horticulture. Our main motive is to cover all important points in a single handy book along with quality content. This book is designed for B.Sc., Agriculture and Horticulture graduation students and to prepare competitive examination viz., JRF, ARS, NET, and Extension officers. This book is written in very simple and easy to understand. With the help of this book students can score more marks and get high rank and it help them to reach to the desired goal. It is also helpful in preparing for interviews in shortest possible time. Authors believe that book will also be useful for fellow teachers, researches and development officers for references and easy answering of many complicated questions. Authors can also grateful to teachers, friends, and seniors who extended full cooperation during the preparation of this book. Authors Dr. C. Sankar Dr. C. Senthilraja Dr. Sneha R. Patil
Medicinal plant cultivation has received an impetus in the recent years due to revival of interest in herbal medicines necessitating authoritative information on cultivation and utilization of this valuable flora. The book on Medicinal Plants includes information on current status of medicinal plants, their phytochemistry, quality control, good agricultural practices and good manufacturing practices in medicinal plants and information on commercially grown medicinal plants and those important in trade. Details on botany, crop improvement, crop protection, crop production, post harvest handling, chemical composition, chemical analyses and uses of commercially grown crops are also included. The book which is a systematic compilation of available information on promising 65 medicinal species helps in providing specific information on the cultivation and utilization of these crops to farmers, academicians, students and related user industries. This documented information also serves to give an insight to the major research lacunae and formulate appropriate research strategies in these crops.
A comprehensive guide for those caring for a loved one nearing the end of life. Many people seek the comfort and dignity of dying at home. Advances in pharmacology and hospice care allow the dying to remain at home relatively free of pain and symptoms, but navigating professional services, insurance coverage, and family dynamics often compounds the complexity of this process. Extensively updated and revised, this third edition of Andrea Sankar's Dying at Home: A Family Guide for Caregiving provides essential information that caregivers and dying persons need to navigate this journey. Featuring contributions by professionals and personal stories from in-depth case studies of family caregivers, this guide discusses the challenges, resources, benefits, and barriers to care at home. With updates on advance care planning, developments in palliative care medicine, and the availability of legally assisted dying, this edition discusses how to: • Arrange medical care, nursing, and ancillary therapies • Understand costs, sources of financial support, and insurance coverage • Collaborate with health professionals in the home • Assist in implementing pain management techniques • Find social and spiritual support, as well as self-care for caregivers • Handle family dynamics and legal matters • Collaborate to make complex care and treatment decisions • Navigate the process of dying and caring for the body after death
This book provides a uniform framework describing how fuzzy rough granular neural network technologies can be formulated and used in building efficient pattern recognition and mining models. It also discusses the formation of granules in the notion of both fuzzy and rough sets. Judicious integration in forming fuzzy-rough information granules based on lower approximate regions enables the network to determine the exactness in class shape as well as to handle the uncertainties arising from overlapping regions, resulting in efficient and speedy learning with enhanced performance. Layered network and self-organizing analysis maps, which have a strong potential in big data, are considered as basic modules,. The book is structured according to the major phases of a pattern recognition system (e.g., classification, clustering, and feature selection) with a balanced mixture of theory, algorithm, and application. It covers the latest findings as well as directions for future research, particularly highlighting bioinformatics applications. The book is recommended for both students and practitioners working in computer science, electrical engineering, data science, system design, pattern recognition, image analysis, neural computing, social network analysis, big data analytics, computational biology and soft computing.
His compelling, occasionally controversial, revelations--accompanied by spectacular illustrations--are a must-read for anyone with a serious interest in the evolution of the feathered dinosaurs, from vertebrate paleontologists and ornithologists to naturalists and birders.
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