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FORCE Fabric How to Draw Clothes

FORCE Fabric How to Draw Clothes

The nude figure defines the best way to learn the fundamentals of drawing yet the end goal of most art presents clothed figures be it animation video games film or fine art. This sixth book in the ‘FORCE’ series instructs artists on how to understand fabric with FORCE thus leading to improved drawings of clothed figures. Expertly organized and beautifully illustrated the book instructs artists to see clothing in a new way through FORCE. Michael’s clear concise and informal writing coupled with Mritunjay and Michael’s FORCE drawings of clothed models comprehensibly informs you the curious artist to identify and draw FORCE clothing. Key Features: The unique dynamic FORCE Drawing learning system that has helped thousands of artists enhance their figure drawing abilities now brings clothing to the figure! Easy to follow fundamentals on drawing clothed figures for games animation film or fine art A clear organized and understandable step-by-step approach to learn about the effects of FORCE on fabric and how that pertains to drawing clothes Learn to see clothes through tight medium and loose-fit and discover the common fold types per category making it easier to identify and draw A ‘sticker system’ that presents the different types of folds found in different fit types of clothing Each chapter has exercises you can use to help you learn the process of drawing clothes Find out how line can bring the texture of different fabrics to your clothing drawings Includes robust author website with further information forums and videos Color-coded page edges to quickly find the material you need Unlock your imagination; put the theory into practice with detailed exercises to sharpen your skills | FORCE Fabric How to Draw Clothes

GBP 36.99
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The Animator's Sketchbook How to See Interpret & Draw Like a Master Animator

Design of Internet of Things

Design of Internet of Things

The text provides a comprehensive overview of the design aspects of the internet of things devices and covers the fundamentals of big data and data science. It explores various scenarios such as what are the middleware and frameworks available and how to build a stable standards-based and Secure internet of things device. It discusses important concepts including embedded programming techniques machine-to-machine architecture and the internet of things for smart city applications. It will serve as an ideal design book for professionals senior undergraduate and graduate students in the fields including electrical engineering electronics and communication engineering and computer engineering. The book- Covers applications and architecture needed to deliver solutions to end customers and readers. Discusses practical aspects of implementing the internet of things in diverse areas including manufacturing and software development. Highlights big data concepts and embedded programming techniques. Presents technologies including machine to machine integrated sensors and radio-frequency identification. Introduces global system for mobile communication and precise details of standards based on internet of things architecture models. The book focuses on practical design aspects such as how to finalize a processor integrated circuit which operating system to use etc. in a single volume. It will serve as an ideal text for professionals senior undergraduate and graduate students in diverse engineering domains including electrical electronics and communication computer. | Design of Internet of Things

GBP 44.99
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The Ecology of Everyday Things

The Ecology of Everyday Things

Nature is all around us in the beautiful but also in the unappealing and functional and from the awe-inspiring to the mundane. It is vital that we learn to see the agency of the natural world in all things that make our lives possible comfortable and profitable. The Ecology of Everyday Things pulls back the veil of our familiarity on a range of ‘everyday things’ that surround us and which we perhaps take too much for granted. This key into the magic world of the everyday can enable us to take better account of our common natural inheritance. Professor James Longhurst Assistant Vice Chancellor University of the West of England (UWE Bristol) For many people ecosystems may be a remote concept yet we eat drink breathe and interface with them in every moment of our lives. In this engaging textbook ecosystems scientist Dr. Mark Everard considers a diversity of ‘everyday things’ including fascinating facts about their ecological origins: from the tea we drink to the things we wear read and enjoy to the ecology of communities and space flight and the important roles played by germs and ‘unappealing creatures’ such as slugs and wasps. In today’s society we are so umbilically connected to ecosystems that we fail to notice them and this oversight blinds us to the unsustainability of everyday life and the industries and policy environment that supports it. The Ecology of Everyday Things takes the reader on an enlightening fascinating voyage of discovery all the while soundly rooted in robust science. It will stimulate awareness about how connected we all are to the natural world and its processes and how important it is to learn to better treat our environment. Ideal for use in undergraduate- and school-level teaching it will also interest educate engage and enthuse a wide range of less technical audiences.

GBP 19.99
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Advances in SIoT (Social Internet of Things)

Smart Innovation of Web of Things

5G LTE Narrowband Internet of Things (NB-IoT)

Security and Trust Issues in Internet of Things Blockchain to the Rescue

Industrial Internet of Things Technologies Design and Applications

Security Implementation in Internet of Medical Things

What Every Engineer Should Know About the Internet of Things

Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things

Integration of WSNs into Internet of Things A Security Perspective

Medical Big Data and Internet of Medical Things Advances Challenges and Applications

Medical Big Data and Internet of Medical Things Advances Challenges and Applications

Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine process analyse characterize classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues and research on integration of big data analytics with respect to clinical practice and clinical utility architectures and clustering techniques for IoT data processing effective frameworks for removal of misclassified instances practicality of big data analytics methodological and technical issues potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data IoT soft computing machine learning augmented reality organs on chip personalized drugs implantable electronics integration of bio-interfaces and wearable sensors devices practical body area network (BAN) and architectures of web systems. Key Features:Addresses various applications of Medical Big Data and Internet of Medical Things in real time environmentHighlights recent innovations designs developments and topics of interest in machine learning techniques for classification of medical dataProvides background and solutions to existing challenges in Medical Big Data and Internet of Medical ThingsProvides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical dataDiscusses interactions advantages limitations challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT)Presents case studies on the next generation medical chair electronic nose and pill cam are also presented. | Medical Big Data and Internet of Medical Things Advances Challenges and Applications

GBP 44.99
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Data Modelling and Analytics for the Internet of Medical Things

Internet of Things Security and Privacy Practical and Management Perspectives

Artificial Intelligence for Internet of Things Design Principle Modernization and Techniques

Artificial Intelligence for Internet of Things Design Principle Modernization and Techniques

The text comprehensively discusses the essentials of the Internet of Things (IoT) machine learning algorithms industrial and medical IoT robotics data analytics tools and technologies for smart cities. It further covers fundamental concepts advanced tools and techniques along with the concept of energy-efficient systems. It also highlights software and hardware interfacing into the IoT platforms and systems for better understanding. It will serve as an ideal reference text for senior undergraduate graduate students and academic researchers in the fields of electrical engineering electronics and communication engineering and computer engineering. Features: Covers cognitive Internet of Things and emerging network IoT in robotics smart cities and health care Discusses major issues in the field of the IoTsuch as scalable and secure issues energy-efficient and actuator devices Highlights the importance of industrial and medical IoT Illustrates applications of the IoT in robotics smart grid and smart cities Presents real-time examples for better understanding The text comprehensively discusses design principles modernization techniques advanced developments in artificial intelligence. This will be helpful for senior undergraduates graduate students and academic researchers in diverseengineering fields including electrical electronics and communication and computer science. | Artificial Intelligence for Internet of Things Design Principle Modernization and Techniques

GBP 120.00
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Applications of Artificial Intelligence Big Data and Internet of Things in Sustainable Development

Cybercrime and Information Technology The Computer Network Infrastructure and Computer Security Cybersecurity Laws Internet of Things (IoT

Cybercrime and Information Technology The Computer Network Infrastructure and Computer Security Cybersecurity Laws Internet of Things (IoT

Cybercrime and Information Technology: Theory and Practice—The Computer Network Infostructure and Computer Security Cybersecurity Laws Internet of Things (IoT) and Mobile Devices is an introductory text addressing current technology trends and security issues. While many books on the market cover investigations forensic recovery and presentation of evidence and others explain computer and network security this book explores both explaining the essential principles governing computers wireless and mobile devices the Internet of Things cloud systems and their significant vulnerabilities. Only with this knowledge can students truly appreciate the security challenges and opportunities for cybercrime that cannot be uncovered investigated and adjudicated unless they are understood. The legal portion of the book is an overview of the legal system in the United States including cyberlaw standards and regulations affecting cybercrime. This section includes cases in progress that are shaping and developing legal precedents. As is often the case new technologies require new statues and regulations—something the law is often slow to move on given the current speed in which technology advances. Key Features: Provides a strong foundation of cybercrime knowledge along with the core concepts of networking computer security Internet of Things (IoTs) and mobile devices. Addresses legal statutes and precedents fundamental to understanding investigative and forensic issues relative to evidence collection and preservation. Identifies the new security challenges of emerging technologies including mobile devices cloud computing Software-as-a-Service (SaaS) VMware and the Internet of Things. Strengthens student understanding of the fundamentals of computer and network security concepts that are often glossed over in many textbooks and includes the study of cybercrime as critical forward-looking cybersecurity challenges. Cybercrime and Information Technology is a welcome addition to the literature particularly for those professors seeking a more hands-on forward-looking approach to technology and trends. Coverage is applicable to all forensic science courses in computer science and forensic programs particularly those housed in criminal justice departments emphasizing digital evidence and investigation processes. The textbook is appropriate for courses in the Computer Forensics and Criminal Justice curriculum and is relevant to those studying Security Administration Public Administrations Police Studies Business Administration Computer Science and Information Systems. A Test Bank and chapter PowerPoint slides are available to qualified professors for use in classroom instruction. | Cybercrime and Information Technology The Computer Network Infrastructure and Computer Security Cybersecurity Laws Internet of Things (IoT

GBP 62.99
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Product Lifecycle Management (PLM) A Digital Journey Using Industrial Internet of Things (IIoT)

Product Lifecycle Management (PLM) A Digital Journey Using Industrial Internet of Things (IIoT)

As featured on CNN Forbes and Inc – BookAuthority identifies and rates the best books in the world based on recommendations by the world's most successful business leaders and experts. Winning the spot of #19 out of 26 on the 2020 Bookauthority Best New Industrial Management Books of All Time. Winning the spot of #3 out of 8 on the 2021 Bookauthority Best New Industrial Management Books to Read in 2021. Winning the spot of #5 out of 11 on the 2021 Bookauthority Best New Product Design Books to Read in 2021. 2020 Taylor & Francis Award Winner for Outstanding Professional Book! Product Lifecycle Management (PLM): A Digital Journey Using Industrial Internet of Things (IIot) provides a summary of the essential topics of Product Lifecycle Management (PLM) and the Industrial Internet of Things (IIoT) in the era of Industry 4. 0. The book discusses emerging technologies their contribution towards enhancing product design development and manufacturing. It also presents the integration of PLM Enterprise Resource Planning (ERP) and Manufacturing Execution System (MES) along with IIoT as well the integration of mechanical electronic components embedded systems firmware and software focusing on smart design development and manufacturing in the digital transformation journey. The book provides a high-level overview of how the smart product development through smart manufacturing materializes within the smart ecosystem. Manufacturing professionals designers mechanical electrical electronics instrumentation and industrial engineers information and communication technology consultants and those working in production planning process control and operations will find this book invaluable. | Product Lifecycle Management (PLM) A Digital Journey Using Industrial Internet of Things (IIoT)

GBP 89.99
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High Resolution Pressuremeters and Geotechnical Engineering The Measurement of Small Things

Heterogenous Computational Intelligence in Internet of Things

Heterogenous Computational Intelligence in Internet of Things

We have seen a sharp increase in the development of data transfer techniques in the networking industry over the past few years. We can see that the photos are assisting clinicians in detecting infection in patients even in the current COVID-19 pandemic condition. With the aid of ML/AI medical imaging such as lung X-rays for COVID-19 infection is crucial in the early detection of many diseases. We also learned that in the COVID-19 scenario both wired and wireless networking are improved for data transfer but have network congestion. An intriguing concept that has the ability to reduce spectrum congestion and continuously offer new network services is providing wireless network virtualization. The degree of virtualization and resource sharing varies between the paradigms. Each paradigm has both technical and non-technical issues that need to be handled before wireless virtualization becomes a common technology. For wireless network virtualization to be successful these issues need careful design and evaluation. Future wireless network architecture must adhere to a number of Quality of Service (QoS) requirements. Virtualization has been extended to wireless networks as well as conventional ones. By enabling multi-tenancy and tailored services with a wider range of carrier frequencies it improves efficiency and utilization. In the IoT environment wireless users are heterogeneous and the network state is dynamic making network control problems extremely difficult to solve as dimensionality and computational complexity keep rising quickly. Deep Reinforcement Learning (DRL) has been developed by the use of Deep Neural Networks (DNNs) as a potential approach to solve high-dimensional and continuous control issues effectively. Deep Reinforcement Learning techniques provide great potential in IoT edge and SDN scenarios and are used in heterogeneous networks for IoT-based management on the QoS required by each Software Defined Network (SDN) service. While DRL has shown great potential to solve emerging problems in complex wireless network virtualization there are still domain-specific challenges that require further study including the design of adequate DNN architectures with 5G network optimization issues resource discovery and allocation developing intelligent mechanisms that allow the automated and dynamic management of the virtual communications established in the SDNs which is considered as research perspective. | Heterogenous Computational Intelligence in Internet of Things

GBP 110.00
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Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things

Swarm Intelligence From Social Bacteria to Humans

Swarm Intelligence From Social Bacteria to Humans

The notion of swarm intelligence was introduced for describing decentralized and self-organized behaviors of groups of animals. Then this idea was extrapolated to design groups of robots which interact locally to cumulate a collective reaction. Some natural examples of swarms are as follows: ant colonies bee colonies fish schooling bird flocking horse herding bacterial colonies multinucleated giant amoebae Physarum polycephalum etc. In all these examples individual agents behave locally with an emergence of their common effect. An intelligent behavior of swarm individuals is explained by the following biological reactions to attractants and repellents. Attractants are biologically active things such as food pieces or sex pheromones which attract individuals of swarm. Repellents are biologically active things such as predators which repel individuals of swarm. As a consequence attractants and repellents stimulate the directed movement of swarms towards and away from the stimulus respectively. It is worth noting that a group of people such as pedestrians follow some swarm patterns of flocking or schooling. For instance humans prefer to avoid a person considered by them as a possible predator and if a substantial part of the group in the situation of escape panic (not less than 5%) changes the direction then the rest follows the new direction too. Some swarm patterns are observed among human beings under the conditions of their addictive behavior such as the behavior of alcoholics or gamers. The methodological framework of studying swarm intelligence is represented by unconventional computing robotics and cognitive science. In this book we aim to analyze new methodologies involved in studying swarm intelligence. We are going to bring together computer scientists and cognitive scientists dealing with swarm patterns from social bacteria to human beings. This book considers different models of simulating controlling and predicting the swarm behavior of different species from social bacteria to humans. | Swarm Intelligence From Social Bacteria to Humans

GBP 58.99
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