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As the field of communications networks continues to evolve, the challenging area of wireless sensor networks is rapidly coming of age. Recent advances have made it possible to make sensor components more compact, robust, and energy efficient than ever, earning the idiosyncratic alias ofSmart Dust. Production has also improved, yielding larger,
The concept of Assistive Technology is moving away from adopting the most appropriate devices to overcome the limitations of users, to the designing and setting up of total environments in which people can live, supported by suitable services and additional support devices integrated within the environment. These two perspectives are deeply intertwined, both from technological and social points of view, and the relationship between them currently represent the primary challenge for the field of Assistive Technology. This publication covers the proceedings of the 10th European Conference of the Association for the Advancement of Assistive Technology in Europe (http://www.aaate.net), the organisation which stimulates the advancement of assistive technology for the benefit of people with disabilities, including elderly people. This conference seeks to bridge the gap between these two complementary approaches, providing an opportunity to clarify differences and common points, and better define future direction. Topics covered by the conference include: technological innovation in assistive technology; the need for multidisciplinary approaches; equipment interconnectivity and compatibility; cultural aspects and the acceptance of different approaches; and the role of Europe in building inclusion competence worldwide. Disability results not only from a person’s intrinsic attributes but also from the context in which they live. This publication is a significant contribution to the advancement of inclusion for people living with a disability everywhere.
This book presents applicable guidance into sensor system hardware and software design, extensions, and integration aimed at utilization of 1-wire networks. The content is structured from the design of the sensor system architecture—hardware and software—through the implementation and optimization of the solution to the practical verification. The hardware part consists of the design of specific solutions for sensor data collection and the design and integration of standard and special sensors into these solutions. The development of the hardware solutions is focused on integration with 32-bit microcontrollers with ARM Cortex M0 to Cortex M4 cores. For the sensor solutions, the focus is on design versatility and miniaturization of dimensions with respect to the availability of the technology in the physical design. The focus is on minimizing power consumption to the design of power independent modules. The presented solution includes the design and implementation of the software layer, which includes control software for direct communication with the sensor modules as well as an information system for continuous data storage and remote access. The book presents an extensive case study that describes the design and development of a 1-wire bus controller hardware module solution with proprietary modifications that achieve improvements to the maximum 1-wire bus length. The study also includes the design and implementation of a universal and power independent 1-wire bus device. Using this module, almost any sensor can be connected to the 1-wire bus.
This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.
One of the most thorough introductions available to the world's most popular microcontroller!
Microcontroller-Based Temperature Monitoring and Control is an essential and practical guide for all engineers involved in the use of microcontrollers in measurement and control systems. The book provides design principles and application case studies backed up with sufficient control theory and electronics to develop your own systems. It will also prove invaluable for students and experimenters seeking real-world project work involving the use of a microcontroller. Techniques for the application of microcontroller-based control systems are backed up with the basic theory and mathematics used in these designs, and various digital control techniques are discussed with reference to digital sample theory. The first part of the book covers temperature sensors and their use in measurement, and includes the latest non-invasive and digital sensor types. The second part covers sampling procedures, control systems and the application of digital control algorithms using a microcontroller. The final chapter describes a complete microcontroller-based temperature control system, including a full software listing for the programming of the controller. *Provides practical guidance and essential theory making it ideal for engineers facing a design challenge or students devising a project *Includes real-world design guides for implementing a microcontroller-based control systems *Requires only basic mathematical and engineering background as the use of microcontrollers is introduced from first principles
Wireless Sensor Networks presents the latest practical solutions to the design issues presented in wireless-sensor-network-based systems. Novel features of the text, distributed throughout, include workable solutions, demonstration systems and case studies of the design and application of wireless sensor networks (WSNs) based on the first-hand research and development experience of the author, and the chapters on real applications: building fire safety protection; smart home automation; and logistics resource management. Case studies and applications illustrate the practical perspectives of: · sensor node design; · embedded software design; · routing algorithms; · sink node positioning; · co-existence with other wireless systems; · data fusion; · security; · indoor location tracking; · integrating with radio-frequency identification; and · Internet of things Wireless Sensor Networks brings together multiple strands of research in the design of WSNs, mainly from software engineering, electronic engineering, and wireless communication perspectives, into an over-arching examination of the subject, benefiting students, field engineers, system developers and IT professionals. The contents have been well used as the teaching material of a course taught at postgraduate level in several universities making it suitable as an advanced text book and a reference book for final-year undergraduate and postgraduate students.
Showcasing the diverse ways that IoT can be employed for improvement in many areas of contemporary life, this new volume explores a multitude of IoT applications that provide advanced solutions for real-world problems. The selection of topics includes network on chip as the new paradigm for system on chip integration for maintaining high performance for IoT applications; new router designs to increase speed; and the challenges of wireless underground sensor networks, which have a wide range of applications in military, underground sensing, testing soil traits and moisture content, pollution control and location detection, security, and detection of natural calamities. Various state-of-the-art techniques such as optimization schemes, blockchain, machine learning, orthogonal frequency division multiplexing, etc., are also discussed in the context of cognitive IoT. The volume considers the uses of IoT in agriculture, discussing challenges along with solutions with the help of the latest technical smart tools to uplift the farming community, specifically IoT applications for information gathering to improve yield productivity, food and crop quality and sustainability, monitoring toxic substances and soil properties, etc. The book also covers a broad spectrum of IoT applications in the educational industry along with the challenges associated with them and how to facilitate the use of smart classroom technology. A chapter on IoT in the healthcare industry presents an IoT-based GPS-enabled smart jacket design to monitor heart rate, sugar level, blood pressure, fever, and stress level. The authors also present an IoT-based Peltier air conditioner design that overcomes the limitations of existing HVAC framework, a review of various energy harvesting techniques to generate electrical power from non-conventional power sources with their merits and demerits, and much more.