An excellent text for students, polymer scientists, and practicing engineers, Fundamentals of Polymers provides comprehensive and current coverage of polymers. Focusing on principles rather than technology, new applications of polymers are integrated throughout the text and examples reflect real polymer systems. Each chapter also contains modern-day theories, justified topics, experimental verification, and realistic problem sets and solved examples.

Fundamentals of Polymer

Science & Math

Gupta, Rakesh K.

Kumar, Anil.

Chemistry

Mcgraw-Hill College

Chemical process synthesis and engineering design

McGraw=Hill

Chemical processes provide a diverse array of valuable products and materials used in applications ranging from health care to transportation and food processing. Yet these same chemical processes that provide products and materials essential to modern economies, also generate substantial quantities of wastes and emissions. Green Chemistry is the utilization of a set of principles that reduces or eliminate the use or generation of hazardous substances in design. Due to extravagant costs needed to managing these wastes, tens of billions of dollars a year, there is a need to propose a way to create less waste. Emission and treatment standards continue to become more stringent, which causes these costs to continue to escalate. Green Chemistry and Engineering describes both the science (theory) and engineering (application) principles of Green Chemistry that lead to the generation of less waste. It explores the use of milder manufacturing conditions resulting from the use of smarter organic synthetic techniques and the maintenance of atom efficiency that can temper the effects of chemical processes. By implementing these techniques means less waste, which will save industry millions of dollars over time.Chemical processes that provide products and materials essential to modern economies generate substantial quantities of wastes and emissions, this new book describes both the science (theory) and engineering (application) principles of Green Chemistry that lead to the generation of less wasteThis book contains expert advise from scientists around the world, encompassing developments in the field since 2000Aids manufacturers, scientists, managers, and engineers on how to implement ongoing changes in a vast developing field that is important to the environment and our lives

Green Chemistry and Engineering

Doble, Mukesh

Rollins, Ken

Academic Press

Solar Drying Systems

Solar energy has found its widespread use in direct conversion into electricity either by photovoltaic conversion or through thermal energy, reduction in post-harvest losses, and crop drying. Solar Drying Systems analyzes the fundamentals, principles and applications, heat transfer, elements of drying and solar dryer designs, and related modeling and analysis aspects of solar energy.<ul> <li>Discusses both technical and policy-related issues </li> <li>Explores up-to-date status reviews of different solar drying systems </li> <li>Reviews the highlights of present and future solar drying options </li> <li>Includes many figures, solved examples, and tables with problems/exercises at the end of each chapter</li> </ul>This book is aimed at senior undergraduate and graduate students in energy engineering.

Prakash, Om

Physics

CRC-Press

Energy Management: Conservation and Audit discusses the global energy scenario including energy conservation, management and audit along with the methodology supported by industrial examples. Energy economics of systems has been elaborated with concepts of life cycle assessment and costing, and rate of return. Topics such as energy storage, co-generation, and waste heat recovery vital to energy efficiency have been discussed with case studies. The challenges faced in conserving energy sources (steam and electricity) have been elaborated along with the improvements in the lighting sector. Further, it covers optimization procedures for development in the industry related to energy conservation. Focussed on researchers, renior undergraduate and graduate students in Energy Management, Sustainable Energy, Renewable Energy, Audits and Conservation, this volume Covers current information related to energy management and includes energy audit in a single volume Reviews all the main equipment (boilers, CHP, pumps, heat exchangers) as well as procedural frameworks (energy audits, action planning, monitoring) Includes energy production and management from an industrial perspective Highlights the various processes involved in the energy conservation and auditing in the various sectors and associated methods Explores future energy options and directions for energy security and sustainability

Energy Management: Conservation and Audits

Business & Money

Chauhan, Prashant Singh

Gautam, Samsher

Economics

Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc. It also provides details about the temporal indices database using proposed Class Based Sensor Independent (CBSI) approach supported by practical examples. As well, this book addresses other related algorithms based on distance, kernel based as well as spatial information through Markov Random Field (MRF)/Local convolution methods to handle mixed pixels, non-linearity and noisy pixels. Further, this book covers about techniques for quantiative assessment of soft classified fraction outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at graduate, postgraduate, research scholars and working professionals of different branches such as Geoinformation sciences, Geography, Eectrical, Electronics and Computer Sciences etc., working in the fields of earth observation and satellite image processing. Learning algorithms discussed in this book may also be useful in other related fields, for example, in medical imaging. Overall, this book aims to: <ul> <li>exclusive focus on using large range of fuzzy classification algorithms for remote sensing images;</li> <li>discuss ANN, CNN, RNN, and hybrid learning classifiers application on remote sensing images;</li> <li>describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy and learning algorithms;</li> <li>explain how to assess soft classified outputs as fraction images using fuzzy error matrix (FERM) and its advance versions with FERM tool, Entropy, Correlation Coefficient, Root Mean Square Error and Receiver Operating Characteristic (ROC) methods and;</li> <li>combines explanation of the algorithms with case studies and practical applications.</li> </ul>

Computers & Technology

Kumar, A Senthil

Upadhyay, Priyadarshi

Computer Science

Energy Management

The Couchbase Autonomous Operator for Kubernetes is an application-specific controller that vastly reduces complexity, human error and manual management of database services, resulting in streamlined operations, more efficient consumption of resources and cloud portability. Couchbase Autonomous Operator extends the Kubernetes API to create, configure and manage instances of complex stateful applications on behalf of a Kubernetes user. It builds upon the basic Kubernetes resource and controller concepts, but also includes the domain or application-specific knowledge to automate common tasks better managed by computers. Whether an enterprise is using a single-provider, hybrid cloud or cross-cloud strategy, Couchbase Autonomous Operator is deployment agnostic, thereby enabling multi-cloud deployment and migration seamlessly. As Kubernetes continues to gain momentum and IT organizations increasingly adopt cloud computing and embrace newer technologies like microservices, mobile, IoT and more, Couchbase identified the following key roadblocks that hinder progress: - High operational costs: Manually deploying and managing hundreds of database instances across multiple geographies increases cost, effort, and complexity. - Vendor lock-in: A lack of standardization to ensure data can be moved freely and safely between cloud providers has made it difficult to switch providers quickly or work with multiple providers. - Delayed time to market: Customers with applications using microservice architectures have difficulties managing and scaling database clusters in siloed systems, extending development times and making it harder to support their applications.The Couchbase Autonomous Operator for Kubernetes was built to address and overcome these challenges for the enterprise by providing: - Automated operations: Beta users report reductions of up to 95 percent of the operational complexity, which lowers operational costs. - Cloud-agnostic deployment and management: Offers enterprise customers with multi-cloud strategies the ability to deploy, manage and move their applications to and from any cloud, at any time. - Unmatched agility and flexibility: Allows customers who have adopted microservice architectures to run their database next to their application, reducing the DevOps cycle and decreasing time to market.

Couchbase on Kubernetes: Autonomously Run and Manage a Complex Distributed Database on Kubernetes

Programming

Couchbase, Inc.

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Books by Kumar, Anil.