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Introduction to Blockchain Technology

This book explores the fundamentals and applications of Blockchain technology. Readers will learn about the decentralized peer-to-peer network distributed ledger and the trust model that defines Blockchain technology. They will also be introduced to the basic components of Blockchain (transaction block block header and the chain) its operations (hashing verification validation and consensus model) underlying algorithms and essentials of trust (hard fork and soft fork). Private and public Blockchain networks similar to Bitcoin and Ethereum will be introduced as will concepts of Smart Contracts Proof of Work and Proof of Stack. Blockchain is an emerging technology that can radically improve transaction security at banking supply chain and other transaction networks. It’s estimated that Blockchain will generate $3. 1 trillion in new business value by 2030. Essentially it provides the basis for a dynamic distributed ledger that can be applied to save time when recording transactions between parties remove costs associated with intermediaries and reduce risks of fraud and tampering. | Introduction to Blockchain Technology

GBP 29.99

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Electrical Distribution Systems

First published in 2009. Comprehensive in scope this book now in its fully updated second edition takes an applications-oriented approach to electrical distribution systems. All critical aspects of power production distribution control conversion and measurement are presented. The authors place emphasis on real-world applications examining electrical distribution and associated system operation from a user's or technician's point of view. The use of an ‘electrical power systems' model facilitates the reader's comprehensive understanding of electrical distribution utilizing power distribution as a key starting point and then applying that relationship to other important associated systems. The final chapter of this new edition is re-focused to emphasize the economics of distribution systems computer power requirements and current environmental considerations. The book provides a valuable desk reference for the working engineer contractor or technician who needs a thorough application-based guide for finding the best solutions to today's electrical distribution challenges.

GBP 42.99

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A First Course in Control System Design

Control systems are pervasive in our lives. Our homes have environmental controls. The appliances we use such as the washing machine microwave etc. carry embedded controllers in them. We fly in airplanes and drive automobiles that extensively use control systems. The industrial plants that produce consumer goods run on process control systems. The recent drive toward automation has increased our reliance on control systems technology. This book discusses control systems design from a model-based perspective for dynamic system models of single-input single-output type. The emphasis in this book is on understanding and applying the techniques that enable the design of effective control systems in multiple engineering disciplines. The book covers both time-domain and the frequency-domain design methods as well as controller design for both continuous-time and discrete-time systems. MATLAB© and its Control Systems Toolbox are extensively used for design. | A First Course in Control System Design

GBP 94.99

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Linear Electronics

A considerable amount of effort has been devoted both in industry and academia towards the design performance analysis and evaluation of amplification schemes and filters to be used in control systems audio/video equipment instrumentation and communication systems. This book is intended to serve as a complementary textbook for courses dealing with Linear Amplification but also as a professional book for engineers who need to update their knowledge in the electronics control and communications areas. The book is suitable for the undergraduate as well as the initial graduate levels of Electrical Engineering courses and is useful for the professional who wants to review or get acquainted with amplification theory. The book presents essential concepts in plain language and covers the most important applications of amplifier circuits. The book has four appendices an appendix to detail the operational amplifier model an appendix with specification data sheets an appendix on Fourier transform and signal spectrum including the concepts of convolution autocorrelation and power spectral density for deterministic signals and a final one that presents and explains the usual electronics acronyms. | Linear Electronics

GBP 94.99

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Mathematical and Computational Modelling of Covid-19 Transmission

Infectious diseases are leading threats and are of highest risk to the human population globally. Over the last two years we saw the transmission of Covid-19. Millions of people died or were forced to live with a disability. Mathematical models are effective tools that enable analysis of relevant information simulate the related process and evaluate beneficial results. They can help to make rational decisions to lead toward a healthy society. Formulation of mathematical models for a pollution-free environment is also very important for society. To determine the system which can be modelled we need to formulate the basic context of the model underlying some necessary assumptions. This describes our beliefs in terms of the mathematical language of how the world functions. This book addresses issues during the Covid phase and post-Covid phase. It analyzes transmission impact of coinfections and vaccination as a control or to decrease the intensity of infection. It also talks about the violence and unemployment problems occurring during the post-Covid period. This book will help societal stakeholders to resume normality slowly and steadily. | Mathematical and Computational Modelling of Covid-19 Transmission

GBP 99.99

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Computational and Analytic Methods in Biological Sciences Bioinformatics with Machine Learning and Mathematical Modelling

Despite major advances in healthcare over the past century the successful treatment of cancer has remained a significant challenge and cancers are the second leading cause of death worldwide behind cardiovascular disease. Early detection and survival are important issues to control cancer. The development of quantitative methods and computer technology has facilitated the formation of new models in medical and biological sciences. The application of mathematical modelling in solving many real-world problems in medicine and biology has yielded fruitful results. In spite of advancements in instrumentations technology and biomedical equipment it is not always possible to perform experiments in medicine and biology for various reasons. Thus mathematical modelling and simulation are viewed as viable alternatives in such situations and are discussed in this book. The conventional diagnostic techniques of cancer are not always effective as they rely on the physical and morphological appearance of the tumour. Early stage prediction and diagnosis is very difficult with conventional techniques. It is well known that cancers are involved in genome level changes. As of now the prognosis of various types of cancer depends upon findings related to the data generated through different experiments. Several machine learning techniques exist in analysing the data of expressed genes; however the recent results related with deep learning algorithms are more accurate and accommodative as they are effective in selecting and classifying informative genes. This book explores the probabilistic computational deep learning model for cancer classification and prediction. | Computational and Analytic Methods in Biological Sciences Bioinformatics with Machine Learning and Mathematical Modelling

GBP 99.99

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