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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

Testing and Balancing HVAC Air and Water Systems

Testing and Balancing HVAC Air and Water Systems

This thoroughly revised book will provide the reader with an understanding of the principles and practices of testing and balancing (TAB) heating ventilating and air conditioning (HVAC) air and water systems. It is for anyone interested in testing and balancing. For the novice and the experienced testing and balancing technician it is a field reference book of procedures equations and information tables. For those interested in getting into TAB or who are new to the HVAC industry it is a text for learning more about HVAC systems and testing and balancing. For the mechanical engineer building owner facility manager commissioning agency or energy manager this book can be used for teaching TAB writing more effective specifications and learning about TAB and how it interacts with system commissioning indoor air quality and energy management. It is the intent of this book to improve the communications between owners mechanical engineers designers vendors contractors TAB engineers supervisors and technicians to ensure that HVAC systems are being thoroughly tested and balanced. This book is used in test and balance self-study courses in-house training programs seminars and other training formats as preparation for TAB certification and as a text in colleges and technical schools. The sixth edition has general and specific testing and balancing procedures for constant air volume systems variable air volume systems return air and exhaust air systems positive and negative pressure conditioned spaces and fans and fan performance in Chapters 1 through 9. Chapters 10–12 cover testing and balancing fume hood systems and cleanrooms and commissioning HVAC systems. Chapters 13 and 14 provide information on water systems and centrifugal pumps including water balancing procedures using flow meters system components and temperatures and water pumps and pump performance. Chapter 15 reviews analog and digital controls. Chapters 16–20 cover terminology for fluid flow psychrometrics refrigeration¸ air distribution water distribution fans and pumps motors electrical and instrument usage and care. Chapters 21 and 22 are equations and tables. | Testing and Balancing HVAC Air and Water Systems

GBP 120.00
1

Cryptography and Network Security

Electronic Devices and Circuit Fundamentals

Digital Filter Design and Realization

Innovation and Sustainability in Governments and Companies: A Perspective to the New Realities

Residential Energy Auditing and Improvement

Compressor Handbook Principles and Practice

Special Functions and their Application

Project Management Survival and Success

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

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
1

Compressor Handbook: Principles and Practice

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

Serial Communication Protocols and Standards

Serial Communication Protocols and Standards

Data communication standards are comprised of two components: The “protocol” and “Signal/data/port specifications for the devices involved”. The protocol describes the format of the message and the meaning of each part of the message. To connect any device to the bus an external device must be used as an interface which will put the message in a form which fulfills all the electrical specifications of the port. These specifications are called the “Standard”. The most famous such serial communication standard is the RS-232. In IT technology Communication can be serial or parallel. Serial communication is used for transmitting data over long distances. It is much cheaper to run the single core cable needed for serial communication over a long distance than the multicore cables that would be needed for parallel communication. It is the same in wireless communication: Serial communication needs one channel while parallel needs multichannel. Serial Communication can also be classified in many other ways for example synchronous and asynchronous; it can also be classified as simplex duplex and half duplex. Because of the wide spread of serial communication from home automation to sensor and controller networks there is a need for a very large number of serial communication standards and protocols. These have been developed over recent decades and range from the simple to the highly complicated. This large number of protocols was necessary to guarantee the optimum performance for the targeted applications. It is important for communication engineers to have enough knowledge to match the right protocol and standard with the right application. The main aim of this book is to provide the reader with that knowledgeThe book also provides the reader with detailed information about:- Serial Communication- Universal Asynchronous Receiver Transmitter (UART)- Universal Synchronous/Asynchronous Receiver Transmitter (USART - Serial Peripheral Interface (SPI) - eSPI- Universal Serial Bus (USB)- Wi-Fi- WiMax- InsteonThe details of each technology including specification operation security related matters and many other topics are covered. The book allocates three chapters to the main communication standards. These chapters cover everything related to the most famous standard RS-232 and all its variants. Other protocols such as: I2C CAN ZigBee Z-Wave Bluetooth and others are the subject of the authors separate book “Microcontroller and Smart Home Networks”. | Serial Communication Protocols and Standards

GBP 94.99
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

Privacy and Security for Mobile Crowdsourcing

SMART Integrated Circuit Design and Methodology

SMART Integrated Circuit Design and Methodology

This book describes advanced flows and methodologies for the design and implementation of system-on-chip (SoC). It is written by a mixture of industrial experts and key academic professors and researchers. The intended audience is not only students but also engineers with system-on-chip and semiconductor background currently working in the semiconductor industry. Integrated Circuits are available in every electronic product especially in emerging market segments such as 5G mobile communications autonomous driving fully electrified vehicles and artificial intelligence. These product types require real-time processing at billions of operations per second. The development design cycle time is driving costs and time to market more than ever before. The traditional design methodologies have reached their limits and innovative solutions are essential to serve the emerging SoC design challenges. In the framework of the Circuit and System Society (CASS) Outreach Initiative 2022 call the SMART Integrated Circuits design methodology – named SMARTIC – Seasonal School was performed in November 2022 in Thessaloniki (Greece). Features Core analog circuits of any system of chip such as high-performance rectifiers and filters are addressed in detail together with their respective design methodology. New advanced methodologies towards design cycle speed up based on machine learning and artificial intelligence applications. Advanced analog design methodology based on gm/Id and lock up tables. A powerful flow for enabling fast time to market analog circuit design focusing on baseband circuits More exotic methodologies and applications with focus on digital-based analog processing in nanoscale CMOS ICs and the design and development of depleted monolithic active pixel sensors for high-radiation applications together with all the respective challenges of this application. | SMART Integrated Circuit Design and Methodology

GBP 94.99
1

Advanced Control Systems Theory and Applications

Advanced Control Systems Theory and Applications

Advanced Control Systems: Theory and Applications provides an overview of advanced research lines in control systems as well as in design development and implementation methodologies for perspective control systems and their components in different areas of industrial and special applications. It consists of extended versions of the selected papers presented at the XXV International Conference on Automatic Control “Automatics 2018” (September 18-19 2018 Lviv Ukraine) which is the main Ukrainian Control Conference organized by Ukrainian Association on Automatic Control (National member organization of IFAC) and Lviv National University “Lvivska Politechnica”. More than 100 papers were presented at the conference with topics including: mathematical problems of control optimization and game theory; control and identification under uncertainty; automated control of technical technological and biotechnical objects; controlling the aerospace craft marine vessels and other moving objects; intelligent control and information processing; mechatronics and robotics; information measuring technologies in automation; automation and IT training of personnel; the Internet of things and the latest technologies. The book is divided into two main parts the first concerning theory (7 chapters) and the second concerning applications (7 chapters) of advanced control systems. The first part “Advances in Theoretical Research on Automatic Control” consists of theoretical research results which deal with descriptor control impulsive delay systems motion control in condition of conflict inverse dynamic models invariant relations in optimal control robust adaptive control bio-inspired algorithms optimization of fuzzy control systems and extremal routing problem with constraints and complicated cost functions. The second part “Advances in Control Systems Applications” is based on the chapters which consider different aspects of practical implementation of advanced control systems in particular special cases in determining the spacecraft position and attitude using computer vision system the spacecraft orientation by information from a system of stellar sensors control synthesis of rotational and spatial spacecraft motion at approaching stage of docking intelligent algorithms for the automation of complex biotechnical objects an automatic control system for the slow pyrolysis of organic substances with variable composition simulation complex of hierarchical systems based on the foresight and cognitive modelling and advanced identification of impulse processes in cognitive maps. The chapters have been structured to provide an easy-to-follow introduction to the topics that are addressed including the most relevant references so that anyone interested in this field can get started in the area. This book may be useful for researchers and students who are interesting in advanced control systems. | Advanced Control Systems Theory and Applications

GBP 94.99
1

Mechanical Estimating Manual Sheet Metal Piping and Plumbing

International Solutions to Sustainable Energy Policies and Applications

Energy Project Financing Resources and Strategies for Success

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
1

Electric and Electronic Circuit Simulation using TINA-TI

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