Renewable fuels, in the present times, have become important to curb emission of greenhouse gases, which are causing damage to the environment and leading to climatic changes. Ideally, their utilization can be a zero carbon operation. Planting suitable trees on all waste lands and agro forestry on a large scale can fulfil the needs of timber, fuel, fruits, etc. All kinds of lignocellulosic biomass can be converted by several methods to useful liquid fuels like alcohols, biodiesel, methane, renewable diesel and renewable gasoline. Hydrogen can be used as a renewable fuel because of its desirable characteristics and properties for its use as a green fuel.
This book provides a fully comprehensive, rigorous and refreshing treatment of ‘Air Pollution and Control’ covering present day technology and developments. It covers various new topics like bioaerosols or aeroallergens and hazardous air pollutants including diesel exhaust and dioxins. The book is intended to meet the requirements of (a) Undergraduate and postgraduate students of particularly Environmental and Mechanical Engineering and also other branches of Engineering, (b) Technologists, designers, operation and maintenance engineers of industries, electrical power plants, heat and power utilities, (c) Aspirants for competitive examinations of IAS, IES, IFS, PCS, and aspirants for various state and private technical services, etc. and (d)General readers interested in the field for better understanding and knowledge. The book is divided into 20 chapters and presents enormous information covering all aspects of Air Pollution in various sectors relevant to Indian conditions. Each of the following chapters is followed by questions at the end based upon the text.
The text discusses the designing of field-programmable gate array-based green computing circuits for efficient green communication. It will help senior undergraduate, graduate students, and academic researchers from diverse engineering domains such as electrical, electronics and communication, and computer. Discusses hardware description language coding of green communication computing (GCC) circuits. Presents field-programmable gate arrays-based power-efficient models. Explores the integrations of universal asynchronous receiver/transmitter and field-programmable gate arrays. Covers architecture and programming tools of field-programmable gate arrays. Showcases Verilog and VHDL codes for green computing circuits such as finite impulse response filter, parity checker, and packet counter. The text discusses the designing of energy-efficient network components, using low voltage complementary metal-oxide semiconductors, high-speed transceiver logic, and stub series-terminated logic input/output standards. It showcases how to write Verilog and VHDL codes for green computing circuits including finite impulse response filter, packet counter, and universal asynchronous receiver-transmitter.
This book provides a basic, conceptual-level description of an Organization, Engineering management disciplines that overview of how a system is developed. For the Engineers, New joiners, Beginners, Graduates and project manager, it provides a basic framework to understand the meaning of different organizations, planning and assessing system development. Information in the book is from various sources, but main idea is generated through the practical experience of authors. The main aim to publish this book is to get the collective organizational information in one single book for the beginners, Technical and Non-technical employees.
The book covers several entity and relation extraction techniques starting from the traditional feature-based techniques to the recent techniques using deep neural models. Two important focus areas of the book are – i) joint extraction techniques where the tasks of entity and relation extraction are jointly solved, and ii) extraction of complex relations where relation types can be N-ary and cross-sentence. The first part of the book introduces the entity and relation extraction tasks and explains the motivation in detail. It covers all the background machine learning concepts necessary to understand the entity and relation extraction techniques explained later. The second part of the book provides a detailed survey of the traditional entity and relation extraction problems covering several techniques proposed in the last two decades. The third part of the book focuses on joint extraction techniques which attempt to address both the tasks of entity and relation extraction jointly. Several joint extraction techniques are surveyed and summarized in the book. It also covers two joint extraction techniques in detail which are based on the authors’ work. The fourth and the last part of the book focus on complex relation extraction, where the relation types may be N-ary (having more than two entity arguments) and cross-sentence (entity arguments may span multiple sentences). The book highlights several challenges and some recent techniques developed for the extraction of such complex relations including the authors’ technique. The book also covers a few domain-specific applications where the techniques for joint extraction as well as complex relation extraction are applied.
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