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Author: Nikolay V. Kirianaki Publisher: Wiley ISBN: 9780470843178 Category : Technology & Engineering Languages : en Pages : 298
Book Description
From simple thermistors to intelligent silicon microdevices with powerful capabilities to communicate information across networks, sensors play an important role in such diverse fields as biomedical and chemical engineering to wireless communications. Introducing a new dependent count method for frequency signal processing, this book presents a practical approach to the design of signal processing sensors. Modern advanced microsensors technologies require new and equally advanced methods of frequency signal processing in order to function at inreasingly high speeds. The authors provide a comprehensive overview of data acquisition and signal processing methods for the new generation of smart and quasi-smart sensors. The practical approach of the text includes coverage of the design of signal processing methods for digital, frequency, period, duty-cycle and time interval sensors. * Contains numerous practical examples illustrating the design of unique signal processing sensors and transducers * Details traditional, novel, and state of the art methods for frequency signal processing * Coverage of the physical characteristics of smart sensors, development methods and applications potential * Outlines the concept, principles and nature of the method of dependent count (MDC) ; a unique method for frequency signal processing, developed by the authors This text is a leading edge resource for measurement engineers, researchers and developers working in microsensors, MEMS and microsystems, as well as advanced undergraduates and graduates in electrical and mechanical engineering.
Author: Nikolay V. Kirianaki Publisher: Wiley ISBN: 9780470843178 Category : Technology & Engineering Languages : en Pages : 298
Book Description
From simple thermistors to intelligent silicon microdevices with powerful capabilities to communicate information across networks, sensors play an important role in such diverse fields as biomedical and chemical engineering to wireless communications. Introducing a new dependent count method for frequency signal processing, this book presents a practical approach to the design of signal processing sensors. Modern advanced microsensors technologies require new and equally advanced methods of frequency signal processing in order to function at inreasingly high speeds. The authors provide a comprehensive overview of data acquisition and signal processing methods for the new generation of smart and quasi-smart sensors. The practical approach of the text includes coverage of the design of signal processing methods for digital, frequency, period, duty-cycle and time interval sensors. * Contains numerous practical examples illustrating the design of unique signal processing sensors and transducers * Details traditional, novel, and state of the art methods for frequency signal processing * Coverage of the physical characteristics of smart sensors, development methods and applications potential * Outlines the concept, principles and nature of the method of dependent count (MDC) ; a unique method for frequency signal processing, developed by the authors This text is a leading edge resource for measurement engineers, researchers and developers working in microsensors, MEMS and microsystems, as well as advanced undergraduates and graduates in electrical and mechanical engineering.
Author: Nikolay V. Kirianaki Publisher: ISBN: Category : Languages : en Pages : 290
Book Description
From simple thermistors to intelligent silicon microdevices with powerful capabilities to communicate information across networks, sensors play an important role in such diverse fields as biomedical and chemical engineering to wireless communications. Introducing a new dependent count method for frequency signal processing, this book presents a practical approach to the design of signal processing sensors. Modern advanced microsensors technologies require new and equally advanced methods of frequency signal processing in order to function at inreasingly high speeds. The authors provide a compre.
Author: Vladimir Haasz Publisher: CRC Press ISBN: 1000795306 Category : Computers Languages : en Pages : 305
Book Description
DAQ and data processing is a basic part of all automated production systems, diagnostic systems, watching over quality of production, energy distribution, transport control or in various other areas. Demands on the speed, accuracy and reliability increase in general. It is possible to achieve not only using superior (but also more expensive) hardware, but also applying advanced data acquisition and intelligent data processing. It deals e.g. optimal data fusion of a number of sensors, new stochastic methods for accuracy increasing, new algorithms for acceleration of data processing, etc. These are the grounds for publishing this book. Advanced Data Acquisition and Intelligent Data Processing offers 10 up-to-date examples of different applications of advanced data acquisition and intelligent data processing used in monitoring, measuring and diagnostics systems. The book arose based on the most interesting papers from this area published at IDAACS?2013 conference. However, the indivudual chapters include not only designed solution in wider context but also relevant theoretical parts, achieved results and possible future ways.Technical topics discussed in this book include: • advanced methods of data acquisition in application that are not routine;• measured data fusion using up-to-date advanced data processing;• nonlinear dynamical systems identification;• multidimensional image processing.Advanced Data Acquisition and Intelligent Data Processing is ideal for personnel of firms deals with advanced instrumentation, energy consumption monitoring, environment monitoring, non-descructive diagnostics robotics, etc., as well as academic staff and postgraduate students in electrical, control and computer engineering.Content: 1. Introduction; 2. Waveform acquisition with resolutions exceeding those of the ADC employed; 3. Different Disaggregation Algorithms in Non-Intrusive Home Energy Monitoring Systems; 4. Design and testing of an electronic nose system sensitive to the aroma of truffles; 5. DAQ System for Ultrasonic Transducer Evaluation under Spread Spectrum Excitation; 6. Optimal Data Fusion in Decentralized Stochastic Unknown Input Observers; 7. Odor Classification by Neural Networks; 8. ANFIS Based Approach for Improved Multisensors Signal Processing; 9. Neuro-Fuzzy Sensor's Linearization Based FPGA; 10. Interpolation Method of Nonlinear Dynamical Systems Identification Based on Volterra Model in Frequency Domain ; 11. Training Cellular Automata for Hyperspectral Image Segmentation
Author: Fei Hu Publisher: CRC Press ISBN: 1439892814 Category : Technology & Engineering Languages : en Pages : 676
Book Description
Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.
Author: Stefan Bosse Publisher: John Wiley & Sons ISBN: 3527336060 Category : Technology & Engineering Languages : en Pages : 696
Book Description
Combining different perspectives from materials science, engineering, and computer science, this reference provides a unified view of the various aspects necessary for the successful realization of intelligent systems. The editors and authors are from academia and research institutions with close ties to industry, and are thus able to offer first-hand information here. They adopt a unique, three-tiered approach such that readers can gain basic, intermediate, and advanced topical knowledge. The technology section of the book is divided into chapters covering the basics of sensor integration in materials, the challenges associated with this approach, data processing, evaluation, and validation, as well as methods for achieving an autonomous energy supply. The applications part then goes on to showcase typical scenarios where material-integrated intelligent systems are already in use, such as for structural health monitoring and smart textiles.
Author: Gerard Meijer Publisher: John Wiley & Sons ISBN: 1118703170 Category : Technology & Engineering Languages : en Pages : 296
Book Description
With contributions from an internationally-renowned group ofexperts, this book uses a multidisciplinary approach to reviewrecent developments in the field of smart sensor systems, coveringimportant system and design aspects. It examines topics overthe whole range of sensor technology from the theory andconstraints of basic elements, physics and electronics, up to thelevel of application-orientated issues. Developed as a complementary volume to ‘Smart SensorSystems’ (Wiley 2008), which introduces the basics of smartsensor systems, this volume focuses on emerging sensingtechnologies and applications, including: State-of-the-art techniques for designing smart sensors andsmart sensor systems, including measurement techniques at systemlevel, such as dynamic error correction, calibration,self-calibration and trimming. Circuit design for sensor systems, such as the design ofprecision instrumentation amplifiers. Impedance sensors, and the associated measurement techniquesand electronics, that measure electrical characteristics to derivephysical and biomedical parameters, such as blood viscosity orgrowth of micro-organisms. Complete sensor systems-on-a-chip, such as CMOS optical imagersand microarrays for DNA detection, and the associated circuit andmicro-fabrication techniques. Vibratory gyroscopes and the associated electronics, employingmechanical and electrical signal amplification to enable low-powerangular-rate sensing. Implantable smart sensors for neural interfacing in bio-medicalapplications. Smart combinations of energy harvesters and energy-storagedevices for autonomous wireless sensors. Smart Sensor Systems: Emerging Technologies and Applicationswill greatly benefit final-year undergraduate and postgraduatestudents in the areas of electrical, mechanical and chemicalengineering, and physics. Professional engineers and researchers inthe microelectronics industry, including microsystem developers,will also find this a thorough and useful volume.
Author: Maurizio Di Paolo Emilio Publisher: Springer Science & Business Media ISBN: 1461442141 Category : Technology & Engineering Languages : en Pages : 150
Book Description
This book describes the fundamentals of data acquisition systems, how they enable users to sample signals that measure real physical conditions and convert the resulting samples into digital, numeric values that can be analyzed by a computer. The author takes a problem-solving approach to data acquisition, providing the tools engineers need to use the concepts introduced. Coverage includes sensors that convert physical parameters to electrical signals, signal conditioning circuitry to convert sensor signals into a form that can be converted to digital values and analog-to-digital converters, which convert conditioned sensor signals to digital values. Readers will benefit from the hands-on approach, culminating with data acquisition projects, including hardware and software needed to build data acquisition systems.
Author: John R. Gyorki Publisher: ISBN: 9780965678933 Category : Automatic data collection systems Languages : en Pages : 133
Book Description
The Signal Conditioning Handbook is a 144-page guide to making sensor-based measurements using PC-based data acquisition equipment. The latest revision has expanded coverage to include new sensor types that have emerged since the last publication, as well as expanded coverage of additional topics including:?Analog to Digital Conversion?Multiplexing?Electrical Measurements?Fundamental Signal Conditioning?Temperature Measurement?Strain Measurements?Vibration and Sound?Displacement and Position Sensing?Noise Reduction and Isolation?Digital and Pulse Train Signal Conditioning?Transducer Electronic Data Sheets
Author: Wai Lok Woo Publisher: MDPI ISBN: 303650012X Category : Technology & Engineering Languages : en Pages : 394
Book Description
In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem-solving. These algorithms have the capacity to generalize and discover knowledge for themselves and to learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves the mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topics range from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspired filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensor signal processing.
Author: Sanket Goel Publisher: CRC Press ISBN: 1000383792 Category : Technology & Engineering Languages : en Pages : 283
Book Description
Discusses state-of-the-art and the realization of the integrated device to test the amplification proposal of a synthetic nucleic acid template. It covers the control algorithm for designing the Maximum Power Point Tracker (MPPT) enabled electrical interface system. Discusses designing and generating new metasurface antenna for future applications. Covers integration of optical structures with MEMS devices for implementation in Photonic Integrated Circuits. Presents state-of-art in-exact multiplier architectures and their efficient implementation.
Author: Nikolay V. Kirianaki
Author: Nikolay V. Kirianaki
Author: Nikolay V. Kirianaki
Author: Vladimir Haasz
Author: Fei Hu
Author: Stefan Bosse
Author: Gerard Meijer
Author: Maurizio Di Paolo Emilio
Author: John R. Gyorki
Author: Wai Lok Woo
Author: Sanket Goel