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Embedded Artificial Intelligence Devices Embedded Systems and Industrial Applications

Embedded Artificial Intelligence Devices Embedded Systems and Industrial Applications

Recent technological developments in sensors edge computing connectivity and artificial intelligence (AI) technologies have accelerated the integration of data analysis based on embedded AI capabilities into resource-constrained energy-efficient hardware devices for processing information at the network edge. Embedded AI combines embedded machine learning (ML) and deep learning (DL) based on neural networks (NN) architectures such as convolutional NN (CNN) or spiking neural network (SNN) and algorithms on edge devices and implements edge computing capabilities that enable data processing and analysis without optimised connectivity and integration allowing users to access data from various sources. Embedded AI efficiently implements edge computing and AI processes on resource-constrained devices to mitigate downtime and service latency and it successfully merges AI processes as a pivotal component in edge computing and embedded system devices. Embedded AI also enables users to reduce costs communication and processing time by assembling data and by supporting user requirements without the need for continuous interaction with physical locations. This book provides an overview of the latest research results and activities in industrial embedded AI technologies and applications based on close cooperation between three large-scale ECSEL JU projects AI4DI ANDANTE and TEMPO. The book’s content targets researchers designers developers academics post-graduate students and practitioners seeking recent research on embedded AI. It combines the latest developments in embedded AI addressing methodologies tools and techniques to offer insight into technological trends and their use across different industries. | Embedded Artificial Intelligence Devices Embedded Systems and Industrial Applications

GBP 94.99
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Special Functions and their Application

Special Functions and their Application

Special functions are mathematical functions that have established names and notations due to their importance in mathematical analysis functional analysis geometry physics or other applications. This short text gives clear descriptions and explanations of the Gamma function the Probability Integral and its related functions Spherical Harmonics Theory The Bessel function Hermite polynomials and Laguerre polynomials. Each chapter finishes with a description of how the function is most commonly applied and a set of examples for the student to work through. | Special Functions and their Application

GBP 94.99
1

International Solutions to Sustainable Energy Policies and Applications

International Solutions to Sustainable Energy Policies and Applications

Offering an in-depth examination into sustainable energy sources applications technologies and policies this book provides real-world examples of ways to achieve important sustainability goals. Themes include program assessment energy efficiency renewables clean energy and approaches to carbon reduction. Included are a compiled set of chapters discussing the various international strategies and policies being planned and implemented to reduce energy use impact carbon emissions and shift towards alternative energy sources. Taking an international perspective contributors from the U. S. Canada Trinidad and Tobago Peru Hungary Spain Iran Ukraine Jordan the UAE Nigeria South Africa India China and Korea offer their views of energy issues and provide detailed solutions. These can be broadly applied by engineers scientists energy managers policy experts and decision makers to today’s critical energy problems. | International Solutions to Sustainable Energy Policies and Applications

GBP 49.99
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Plan for a Turbulent Future Your Roadmap to Personal Resilience for a Changing Climate

Plan for a Turbulent Future Your Roadmap to Personal Resilience for a Changing Climate

Millions of lives and businesses have either been lost or significantly impacted by COVID-19. Yet many are warning that climate change will be much more devastating over the coming decades. Reality is starting to set in. We are not going to achieve our global mitigation targets; we probably won’t even come close. Individuals faced with this reality react differently from willful ignorance to anxiety and depression all normal reactions. If you believe in science and understand the likelihood of our failure to meet our targets you need to accept and plan for an unknown challenging future. We may be individually powerless to stop climate change but we certainly can act in ways that will help us better face the consequences. This book provides a structured approach to plan and prepare today for a world rocked by a turbulent climate. | Plan for a Turbulent Future Your Roadmap to Personal Resilience for a Changing Climate

GBP 19.99
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Applications of Big Data and Artificial Intelligence in Smart Energy Systems Volume 2 Energy Planning Operations Control and Market Perspectives

Applications of Big Data and Artificial Intelligence in Smart Energy Systems Volume 2 Energy Planning Operations Control and Market Perspectives

In the era of propelling traditional energy systems to evolve towards smart energy systems including power generation energy storage systems and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles and domestic & industrial loads. Similarly with the integration of solid state devices renewable sources and distributed generation power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting including load distribution automation energy regulation and control and energy trading. This book covers the applications of various big data analytics artificial intelligence and machine learning technologies in smart grids for demand prediction decision-making processes policy and energy management. The book delves into the new technologies such as the Internet of Things blockchain etc. for smart home solutions and smart city solutions in depth in the context of the modern power systems. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models. | Applications of Big Data and Artificial Intelligence in Smart Energy Systems Volume 2 Energy Planning Operations Control and Market Perspectives

GBP 99.99
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Multirate Signal Processing for Communication Systems

Multirate Signal Processing for Communication Systems

Multirate Signal processing can improve system performance and reduce costs in applications ranging from laboratory instruments cable modems wireless systems satellites Radar Sonar and consumer entertainment products. This second edition continues to offer a systematic clear and intuitive introduction to multirate signal processing for working engineers and system designers. Significant new material and fresh concepts including Green Signal Processing techniques have been introduced. The author uses extensive examples and figures to illustrate a wide range of multirate techniques from basic resampling to leading-edge cascade and multi-stage filter structures. Along the way he draws on extensive research and consulting experience to introduce processing “tricks” shown to maximize performance and efficiency. Coverage includes:• Effect of sampling and resampling in time and frequency domains• Relationships between FIR filter specifications and filter length (# of taps)• Window design and equal-ripple (Remez) design techniques• Square-Root Nyquist and Half-band Filters including new enhancements• Polyphase FIR filters: up-sampling down-sampling• Polyphase M-path analysis and synthesis channelizers and cascade pairs• Polyphase interpolators for arbitrary sample rate changes• Dyadic half-band filters quadrature mirror filters• Channel banks for multiple arbitrary bandwidths and center frequencies • Comprehensive coverage of recursive all-pass filters and channelizers non-uniform and uniform phase mixed recursive and non-recursive• Comparisons with traditional DSP designs• Extensive applications coverage throughout | Multirate Signal Processing for Communication Systems

GBP 94.99
1

Machine Learning for Healthcare Systems Foundations and Applications

Machine Learning for Healthcare Systems Foundations and Applications

The introduction of digital technology in the healthcare industry is marked by ongoing difficulties with implementation and use. Slow progress has been made in unifying different healthcare systems and much of the world still lacks a fully integrated healthcare system. The intrinsic complexity and development of human biology as well as the differences across patients have repeatedly demonstrated the significance of the human element in the diagnosis and treatment of illnesses. But as digital technology develops healthcare providers will undoubtedly need to use it more and more to give patients the best treatment possible. The extensive use of machine learning in numerous industries including healthcare has been made possible by advancements in data technologies including storage capacity processing capability and data transit speeds. The need for a personalized medicine or precision medicine approach to healthcare has been highlighted by current trends in medicine due to the complexity of providing effective healthcare to each individual. Personalized medicine aims to identify forecast and analyze diagnostic decisions using vast volumes of healthcare data so that doctors may then apply them to each unique patient. These data may include but are not limited to information on a person’s genes or family history medical imaging data drug combinations patient health outcomes at the community level and natural language processing of pre-existing medical documentation. This book provides various insights into machine learning techniques in healthcare system data and its analysis. Recent technological advancements in the healthcare system represent cutting-edge innovations and global research successes in performance modelling analysis and applications. | Machine Learning for Healthcare Systems Foundations and Applications

GBP 99.99
1

Disruptive Artificial Intelligence and Sustainable Human Resource Management Impacts and Innovations -The Future of HR

Disruptive Artificial Intelligence and Sustainable Human Resource Management Impacts and Innovations -The Future of HR

It is well-established that every organization is founded with a specific purpose and goals. Virtually all business organizations obtain measurements and metrics dealing with outcomes and results. However what is reflected on the balance sheet does not necessarily show the actual worth of the organizations and ensure their survival and sustainability. Thus the question arises what exactly makes the organizations sustainable and thriving in an ever-changing environment? There are several examples of companies like Faber-Castell Bank of Ireland Chivas DuPont and many more which have been able to sustain and survive over more than 200 years and still have a successful existence in the present era. Thus it is important for the organization to pay equal attention to its three bottom lines i. e. people profit and planet for its sustainability which not only meet the needs of the present generation but should have a futuristic approach as well. In the present era organizations are adopting a new normal working dynamic and coping with the post-pandemic situations to sustain themselves in the business environment. Technology plays a significant role in this new working dynamic and cutting-edge technologies like machine learning artificial intelligence blockchain ChatGPT Internet of Things and much more effectively facilitate human functioning at work. The book aims to contribute to understanding and developing sustainable human resource management processes and practices aligned with recent technologies. It highlights the interconnection among the three bottom-line sustainable approaches for the growth and development of the organization. Topics discussed in this book include: • Disruptive Technologies and HR Sustainability • Convergence of Innovative Technologies HR and Organizational Growth • Triple bottom-line Sustainability for HRM • Business-oriented Talent analytics and HR Sustainability • Role of Leadership in sustainable HRM practices. | Disruptive Artificial Intelligence and Sustainable Human Resource Management Impacts and Innovations -The Future of HR

GBP 99.99
1

Slime Mould in Arts and Architecture

Slime Mould in Arts and Architecture

The slime mould Physarum polycephalum was a source of explosive growth of bioengineered hybrid sensing and computing devices in the past decade. Being in its vegetative state the plasmodium the slime mould configures its protoplasmic network to optimize its geometry with relation to patterns of attractants and repellents. The slime mould’s adaptability polymorphism and aestheticism inspired artists and architects. The slime mould has been seen as a self-conscious liquid form continuously changing its shape in response to external stimulation and due to interactions of thousands of micro-oscillators in its body. Elusiveness is a magic feature of the slime mould. One moment the slime mould gives you a solution to a mathematical problem by a shape of its body next moment it changes its shape and the solution disappears. Slime Mould in Arts and Architecture presents a set of unique chapters written by leading artists architects and scientists which resulted from creative translations of the slime mould behaviour into forms and sounds unconventional investigations and sensorial experiences and the slime mould ability to remove boundaries between living and artificial solid and fluid science and arts. The book gives readers unique tools for designing architectural forms and creative works using the slime mould understanding how pro-cognitive living substrates can be used in everyday life it sparks new ideas and initiates further progress in many fields or arts architecture science and engineering.

GBP 74.99
1

A Multidisciplinary Introduction to Desalination

A Multidisciplinary Introduction to Desalination

Although more than 70% of the globe is covered with water only a small portion is suitable for direct human use making the scarcity of freshwater one of our plant's most serious challenges. In this context desalination defined as the removal of salt from water is one of the possible solutions for overcoming our planet's municipal and industrial thirst. By drawing upon the authoritative expertise of a remarkable team of international authors this book aims to provide an encompassing and multidisciplinary introduction to various aspects of desalination. The forte of this publication is that it does not overtly focus on a particular sub-topic of desalination but rather addresses the topic as a whole. In other words the unique assortment of reader-friendly chapters is designed to strike a delicate balance between the technical and non-technical. The book is divided into five general sections:The first section presents an overview of water scarcity followed by a review of integrated water management and the alternatives to desalination. The fundamentals of desalination are provided including simple water chemistry;The second section covers the conventional technologies of today including thermal and membrane desalination processes. The topics of pre- and post- treatment are given due credit as no desalination plant can operate without them;The third section reviews the history of how desalination technologies originated including a review of today's R&D activities and cutting edge research. The processes and engineering applied for membrane manufacturing are also presented;Section four is concerned with energy and environmental issues including the application of renewable and nuclear energy minimization of energy usage and the water-energy-nexus brine management and environmental impacts;Finally section five covers the social and commercial issues ranging from rural desalination to the politics of desalination. Desalination costs and feasibility are presented as well as issues in business development and the future market prospects. Effectively A Multidisciplinary Introduction to Desalination aims to be a holistic go-to-compendium for anyone seeking a balanced understanding of the various facets of desalination

GBP 27.99
1

Applied Data Analytics - Principles and Applications

Applied Data Analytics - Principles and Applications

The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications cyber security data crime data telecommunications and stock market data health records and business analytics data are but a few areas of interest. Applications and platforms including R RapidMiner and Weka provide the basis for analysis often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes or to spot errors. Applied Data Analytics - Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms languages and visualisation systems. The book when combined with such platforms provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations deep learning artificial intelligence statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial nature of the book and the applications provided are some of the reasons why the book is suitable for undergraduate postgraduate and big data analytics enthusiasts. This text should ease the fear of mathematics often associated with practical data analytics and support rapid applications in artificial intelligence environmental sensor data modelling and analysis health informatics business data analytics data from Internet of Things and deep learning applications.

GBP 94.99
1

Basics of CNC Programming

Basics of CNC Programming

Before the introduction of automatic machines and automation industrial manufacturing of machines and their parts for the key industries were made though manually operated machines. Due to this manufacturers could not make complex profiles or shapes with high accuracy. As a result the production rate tended to be slow production costs were very high rejection rates were high and manufacturers often could not complete tasks on time. Industry was boosted by the introduction of the semi-automatic manufacturing machine known as the NC machine which was introduced in the 1950��s at the Massachusetts Institute of Technology in the USA. After these NC machine started to be used typical profiles and complex shapes could get produced more readily which in turn lead to an improved production rate with higher accuracy. Thereafter in the 1970��s an even larger revolutionary change was introduced to manufacturing namely the use of the CNC machine (Computer Numerical Control). Since then CNC has become the dominant production method in most manufacturing industries including automotive aviation defence oil and gas medical electronics industry and the optical industry. Basics of CNC Programming describes how to design CNC programs and what cutting parameters are required to make a good manufacturing program. The authors explain about cutting parameters in CNC machines such as cutting feed depth of cut rpm cutting speed etc. and they also explain the G codes and M codes which are common to CNC. The skill-set of CNC program writing is covered as well as how to cut material during different operations like straight turning step turning taper turning drilling chamfering radius profile profile turning etc. In so doing the authors cover the level of CNC programming from basic to industrial format. Drawings and CNC programs to practice on are also included for the reader.

GBP 38.99
1

Bringing Forth Prosperity Capacity Innovation in Africa

Bringing Forth Prosperity Capacity Innovation in Africa

Path to Capacity Innovation: An Africa-MNC Strategic Alliance a policy framework is advanced proposing a strategic alliance between African countries -represented by NEPAD- and the multinational corporation with input from the NGO and couched upon an NEPAD-MNC-NGO cross-fertilizing integrative structure. Capacity innovation is the key to Africa's transformation: with the appropriate catalysts innovation and transformation are but a matter of time in gestation. The first of two major catalysts necessary to prompting this change so long sought by Africans came at the adoption of the New Partnership for Africa's Development. It is one of the most profound collaborations of African Heads of State. The second catalyst is proposed in this work in the form of the multinational corporation as change agent for the innovation process working in alliance with NEPAD as Africa's spokesperson for innovation. The policy framework for African capacity innovation is the material product along with discourse for redress of corruption and security policy narrative for protecting the assets of multinational corporations. Bringing Forth Prosperity: Capacity Innovation in Africa questions capital theory as a development construct and an appropriate platform upon which sustained capacity innovation in Africa may emerge; explores Africa's road to modernity in the context of selected development constructs and assesses capacity innovation from a top down-bottom up perspective purposely to serve as backdrop to the Africa-MNC strategic alliance framework; constructs country capacity ID to identify internal resources available to African countries to support capacity innovation; conceptualizes the Africa-MNC strategic alliance to convey a capacity innovation philosophy; articulates an African capacity innovation policy framework to guide the Alliance through a series of actions designed to prompt innovation activity and set the continent on a course to sustained transformation; and articulates a scheme to protect assets -human and physical- derived through the Africa-MNC strategic alliance. | Bringing Forth Prosperity Capacity Innovation in Africa

GBP 69.99
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