Focussing on engineering aspects of RF/Microwave interaction with biological tissuesThis book discusses the advancement in bio-electromagnetics pertaining to this important issue of electromagentic field-bio interaction vis-a-vis the emission of electromagnetic radiations from mobile phones and their biological fallout.Divided into six chapters, it discusses basic issues in Electromagnetic Field-Biointeraction, dosimetery, instrumentation, and methods of measurement of specific absorption rate, criteria and magnitude of safe exposure and measurements of field in an open (unobstructed) environment.
Biophysical Bone Behaviour: Principles and Applications is the culmination of efforts to relate the biophysical phenomena in bone to bone growth and electrical behavior. Behari develops a bridge between physics and biology of bone leading to its clinical applications, primarily electro stimulations in fracture healing and osteoporosis. The book is based upon authors own research work and his review articles in the area, and updated with the latest research results. The first book dedicated to biophysical bone behaviorDevelops the relationship between the biophysics and biology of bone into an integral unitSpans basic biophysical studies and clinical applicationsLinks the various topics together to give readers a holistic understanding of the areaPresents all major research findings about bone and biophysics Readers can access the full list of references at the companion website: www.wiley.com/go/behari
Soil moisture plays an important role in the runoff process, and its evaluation can be used as a marker of flood risk or drought occurrence. The data is also required to validate the soil moisture component in a variety of soil types of hydrologic models before a possible flood event, and potentially improves the accuracy of their prediction. Keeping the above in view, enormous efforts have gone into measurement of soil moisture by in situ and remote sensing techniques using microwaves. The subject still remains an important point of investigation for it depends upon a number of parameters, for example, texture, topography and shows space and temporal variability. The advantages of both passive and active remote sensing techniques are discussed in detail. The book begins with the basics of soil physics and the soil moisture. Soil moisture measurement techniques presented are confined to microwave frequencies. A summary of theoretical models and a mix-up of experimental and theoretical details is included to offer a comparison. A special chapter is added on an upcoming technique of synthetic aperture radar. The book finally concludes with a summary of recent trends and techniques with a possible direction for future work. The book is primarily aimed to benefit postgraduates and researchers in the area of soil, agriculture physics and microwave remote sensing. The aim is to initiate beginners in the subject. The author will consider his efforts rewarded if it succeeds in such an endeavor.
Soil moisture plays an important role in the runoff process, and its evaluation can be used as a marker of flood risk or drought occurrence. The data is also required to validate the soil moisture component in a variety of soil types of hydrologic models before a possible flood event, and potentially improves the accuracy of their prediction. Keeping the above in view, enormous efforts have gone into measurement of soil moisture by in situ and remote sensing techniques using microwaves. The subject still remains an important point of investigation for it depends upon a number of parameters, for example, texture, topography and shows space and temporal variability. The advantages of both passive and active remote sensing techniques are discussed in detail. The book begins with the basics of soil physics and the soil moisture. Soil moisture measurement techniques presented are confined to microwave frequencies. A summary of theoretical models and a mix-up of experimental and theoretical details is included to offer a comparison. A special chapter is added on an upcoming technique of synthetic aperture radar. The book finally concludes with a summary of recent trends and techniques with a possible direction for future work. The book is primarily aimed to benefit postgraduates and researchers in the area of soil, agriculture physics and microwave remote sensing. The aim is to initiate beginners in the subject. The author will consider his efforts rewarded if it succeeds in such an endeavor.
Woven Terry Fabrics: Manufacturing and Quality Management encompasses all aspects of terry fabric production, from raw material choice and weave design to technological developments, dyeing, and quality evaluation. Nothing feels more luxurious and comforting than wrapping myself or one of my children in a thick, soft, fluffy towel after bathing says Lindsey, a healthcare administrator and mother of two children in Boston. Consumers pay an average 15 USD for a bath towel. So, it has become a luxury item today. To meet the demand of growing population, the terry fabric industry has grown to a large extent. Lots of technological developments have taken place in this field.
In this book, Professor Mohanty develops a new interpretation of the ontology and nature of Indian philosophical thinking. Using the original Sanskrit sources, he examines the concepts of consciousness and subjectivity, and the theories of meaning and truth, and explicates the concept of theoretical rationality that underlies the Indian philosophies. The author brings to bear insights from modern Western analytical and phenomenological philosophies, not with a view to instituting direct comparisons but in order to interpret Indian thinking. In doing so, he highlights some very distinctive features of Indian thinking.
Disposal and Recycling Strategies for Nano-engineered Materials enables the reader to understand and implement the latest methods for the safe disposal and re-use of nanomaterials found in the environment at end-of-life. Sections introduce nanomaterials, their general classification, properties, and preparation techniques before providing an overview and analysis of common disposal strategies. This is followed by in-depth chapters that focus on important steps and innovative strategies in dealing with waste nanomaterials, including sampling, classification and identification of waste materials, green technologies and biodegradation strategies, physico-chemical disposal, integrated technologies to prevent or control nanomaterial wastes entering the environment, and more. This is a valuable resource for researchers, advanced students, engineers, and scientists, with an interest in nanomaterials, their life cycle, waste, and recycling, water treatment, chemical engineering, environmental science, materials science, chemistry, and sustainability.
With easily accessible oil reserves dwindling, petroleum engineers must have a sound understanding of how to access technically challenging resources, especially in the deepwater environment. These technically challenging resources bring with them complexities around fluid flow not normally associated with conventional production systems, and engineers must be knowledgeable about navigating these complexities. Practical Aspects of Flow Assurance in the Petroleum Industry aims to provide practical guidance on all aspects of flow assurance to offer readers a ready reference on how to ensure uninterrupted transport of processed fluids throughout the flow infrastructure by covering all practical aspects of flow assurance, being written in such a way that any engineer dealing with the oil and gas industry will be able to understand the material, containing solved examples on most topics, placing equal emphasis on experimental techniques and modeling methods, and devoting an entire chapter to the analysis and interpretation of published case studies. With its balance of theory and practical applications, this work provides petroleum engineers from a variety of backgrounds with the information needed to maintain and enhance productivity.
With easily accessible oil reserves dwindling, petroleum engineers must have a sound understanding of how to access technically challenging resources, especially in the deepwater environment. These technically challenging resources bring with them complexities around fluid flow not normally associated with conventional production systems, and engineers must be knowledgeable about navigating these complexities. Practical Aspects of Flow Assurance in the Petroleum Industry aims to provide practical guidance on all aspects of flow assurance to offer readers a ready reference on how to ensure uninterrupted transport of processed fluids throughout the flow infrastructure by covering all practical aspects of flow assurance, being written in such a way that any engineer dealing with the oil and gas industry will be able to understand the material, containing solved examples on most topics, placing equal emphasis on experimental techniques and modeling methods, and devoting an entire chapter to the analysis and interpretation of published case studies. With its balance of theory and practical applications, this work provides petroleum engineers from a variety of backgrounds with the information needed to maintain and enhance productivity.
Cloud computing offers subscription-based on-demand services, and it has emerged as the backbone of the computing industry. It has enabled us to share resources among multiple users through virtualization, which creates a virtual instance of a computer system running in an abstracted hardware layer. Unlike early distributed computing models, it offers virtually limitless computing resources through its large scale cloud data centers. It has gained wide popularity over the past few years, with an ever-increasing infrastructure, a number of users, and the amount of hosted data. The large and complex workloads hosted on these data centers introduce many challenges, including resource utilization, power consumption, scalability, and operational cost. Therefore, an effective resource management scheme is essential to achieve operational efficiency with improved elasticity. Machine learning enabled solutions are the best fit to address these issues as they can analyze and learn from the data. Moreover, it brings automation to the solutions, which is an essential factor in dealing with large distributed systems in the cloud paradigm.Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The predictive approaches are developed using regression-based time series analysis and neural network models. The neural network-based models are primarily trained using evolutionary algorithms, and efficient virtual machine placement schemes are developed using multi-objective genetic algorithms.Key Features:The first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds.Predictive analytics is an integral part of efficient cloud resource management, and this book gives a future research direction to researchers in this domain.It is written by leading international researchers.The book is ideal for researchers who are working in the domain of cloud computing.
Cloud computing offers subscription-based on-demand services, and it has emerged as the backbone of the computing industry. It has enabled us to share resources among multiple users through virtualization, which creates a virtual instance of a computer system running in an abstracted hardware layer. Unlike early distributed computing models, it offers virtually limitless computing resources through its large scale cloud data centers. It has gained wide popularity over the past few years, with an ever-increasing infrastructure, a number of users, and the amount of hosted data. The large and complex workloads hosted on these data centers introduce many challenges, including resource utilization, power consumption, scalability, and operational cost. Therefore, an effective resource management scheme is essential to achieve operational efficiency with improved elasticity. Machine learning enabled solutions are the best fit to address these issues as they can analyze and learn from the data. Moreover, it brings automation to the solutions, which is an essential factor in dealing with large distributed systems in the cloud paradigm.Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The predictive approaches are developed using regression-based time series analysis and neural network models. The neural network-based models are primarily trained using evolutionary algorithms, and efficient virtual machine placement schemes are developed using multi-objective genetic algorithms.Key Features:The first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds.Predictive analytics is an integral part of efficient cloud resource management, and this book gives a future research direction to researchers in this domain.It is written by leading international researchers.The book is ideal for researchers who are working in the domain of cloud computing.
Biostatistical Methods and Applications: Experiment Design, Analysis, and Presenting Findings provides students and researchers with the skills needed to apply biostatistical concepts and implement a wide range of analytical tools. The text is an accessible and intentionally curated resource that instructs readers in designing experiments, considering the results, and presenting statistical findings and views. In twenty-four chapters and additional appendices, the book starts with an introduction to the field of statistics and from there covers experiment design, data coding, and data collection methods. The book also delves into descriptive statistics, probability, statistical distributions, correlations, and regression. Common research techniques such as normality tests, sample size determination, missing data analysis, statistical inference, test of significance, and ANOVA are explained in a clear manner so that readers can successfully understand and apply these methods. Biostatistical Methods and Applications: Experiment Design, Analysis, and Presenting Findings thoroughly explores fundamental topics in biostatistics to guide readers in conducting statistical analysis and interpretation by using the step-by-step procedures and diagrams in the book. This book covers current topics which are being used frequently in teaching and research areas, as well as specific statistical techniques including multivariate analysis, binary logistic regression, and non-parametric methods. This valuable first edition provides the necessary tools and conceptual foundations in quantitative reasoning to efficiently extract information from a vast sea of data, and to communicate research findings in order to support hypotheses and give credibility to research methodology and conclusions. With detailed explanations, illustrative examples and diagrams, and beneficial in-text exercises and solutions to support the study of biostatistics, this textbook will prove useful to students, researchers, and scientists who aim to increase their precision around methods and techniques in this field.
Over the years there has been a large increase in the functionality available on a single integrated circuit. This has been mainly achieved by a continuous drive towards smaller feature sizes, larger dies, and better packing efficiency. However, this greater functionality has also resulted in substantial increases in the capital investment needed to build fabrication facilities. Given such a high level of investment, it is critical for IC manufacturers to reduce manufacturing costs and get a better return on their investment. The most obvious method of reducing the manufacturing cost per die is to improve manufacturing yield. Modern VLSI research and engineering (which includes design manufacturing and testing) encompasses a very broad range of disciplines such as chemistry, physics, material science, circuit design, mathematics and computer science. Due to this diversity, the VLSI arena has become fractured into a number of separate sub-domains with little or no interaction between them. This is the case with the relationships between testing and manufacturing. From Contamination to Defects, Faults and Yield Loss: Simulation and Applications focuses on the core of the interface between manufacturing and testing, i.e., the contamination-defect-fault relationship. The understanding of this relationship can lead to better solutions of many manufacturing and testing problems. Failure mechanism models are developed and presented which can be used to accurately estimate probability of different failures for a given IC. This information is critical in solving key yield-related applications such as failure analysis, fault modeling and design manufacturing.
Control Systems: Classical, Modern, and AI-Based Approaches provides a broad and comprehensive study of the principles, mathematics, and applications for those studying basic control in mechanical, electrical, aerospace, and other engineering disciplines. The text builds a strong mathematical foundation of control theory of linear, nonlinear, optimal, model predictive, robust, digital, and adaptive control systems, and it addresses applications in several emerging areas, such as aircraft, electro-mechanical, and some nonengineering systems: DC motor control, steel beam thickness control, drum boiler, motional control system, chemical reactor, head-disk assembly, pitch control of an aircraft, yaw-damper control, helicopter control, and tidal power control. Decentralized control, game-theoretic control, and control of hybrid systems are discussed. Also, control systems based on artificial neural networks, fuzzy logic, and genetic algorithms, termed as AI-based systems are studied and analyzed with applications such as auto-landing aircraft, industrial process control, active suspension system, fuzzy gain scheduling, PID control, and adaptive neuro control. Numerical coverage with MATLAB® is integrated, and numerous examples and exercises are included for each chapter. Associated MATLAB® code will be made available.
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
