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by H. Yamasaki
Download Intelligent Sensors (Handbook of Sensors and Actuators) fb2
Engineering
  • Author:
    H. Yamasaki
  • ISBN:
    0444895159
  • ISBN13:
    978-0444895158
  • Genre:
  • Publisher:
    Elsevier Science (May 6, 1996)
  • Pages:
    308 pages
  • Subcategory:
    Engineering
  • Language:
  • FB2 format
    1152 kb
  • ePUB format
    1689 kb
  • DJVU format
    1248 kb
  • Rating:
    4.9
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    655
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Get a full overview of Handbook of Sensors and Actuators Book Series. Some years ago, silicon-based mechanical sensors, like pressure sensors, accelerometers and gyroscopes, started their successful advance

Get a full overview of Handbook of Sensors and Actuators Book Series. Most recent Volume: Micro Mechanical Transducers. Some years ago, silicon-based mechanical sensors, like pressure sensors, accelerometers and gyroscopes, started their successful advance. Every year, hundreds of millions of these devices are sold, mainly for medical and automotive applications. Pressure sensors are also used in modern electronic blood pressure equipment.

View all volumes in this series: Handbook of Sensors and Actuators. 1. What are the Intelligent Sensors (H. Yamasaki). 2. Fundamental Technologies for Intelligent Sensors. Computational sensors (. Intelligent materials (H. Yanagida).

This sensor not only forms both expanded and detailed three-dimensional . This paper presents four approaches for the development of an intelligent sound receiver.

This sensor not only forms both expanded and detailed three-dimensional senstations, but also has great similarity to man's binocular vision systems and binaural auditory systems, which work incorporatively, actively, and autonomously. If the structure is complicated, the material is no longer intelligent.

Series: Handbook of Sensors and Actuators 3.

Typical examples of intelligent sensors are the receptors and dedicated signal processing systems of the human sensory systems. The most important job of information processing in the sensory system is to extract necessary information from the receptors signals and transmit the useful information to the brain. This dedicated information processing is carried out in a distributed manner to reduce the work load of the brain. Series: Handbook of Sensors and Actuators 3. File: PDF, 1. 4 MB.

Intelligent Sensors book. Intelligent Sensors (Handbook of Sensors and Actuators). 0444895159 (ISBN13: 9780444895158).

Intelligent sensors utilize advanced signal processing techniques, data fusion techniques, intelligent algorithms, and artifficial intelligence concepts to better understand sensor data, for better integration of sensors and better feature extraction, leading to measures that can be used in smart.

Intelligent sensors utilize advanced signal processing techniques, data fusion techniques, intelligent algorithms, and artifficial intelligence concepts to better understand sensor data, for better integration of sensors and better feature extraction, leading to measures that can be used in smart sensing applications. Particularly in the last decade, there have been significant advances in computing technologies in terms of increased miniaturization, computing power, learning algorithms, and the availability of big data.

Handbook of Modern Sensors This book has outlined the fundamentals, analytical concepts, modelling.

Handbook of Modern Sensors. This book is about devices commonly called sensors. The book Smart Sensors and MEMS provides an unique collection of contributions on latest achievements in sensors area and technologies that have made by eleven internationally recognized leading experts from Czech Republic, Germany, Italy, Israel, Portugal, Switzerland, Ukraine and USA during the NATO Advanced Study Institute (ASI) in Povoa de Varzim, Portugal, from 8 to 19 September 2003.

Jeong W. (2009) Sensors and Sensor Networks. In: Nof S. (eds) Springer Handbook of Automation.

Yamasaki (E. : Intelligent Sensors, Handbook of Sensors and Actuators, Vol. 3 (Elsevier, Amsterdam 1996)Google Scholar. R. Brooks, S. Iyengar: Multi-Sensor Fusion (Prentice Hall, New York 1998)Google Scholar. Andre de Carvalho, . Rezende: Combining intelligent techniques for sensor fusion, Appl. 20, 199–213 (2004) Scholar. Henderson: Multisensor data fusion. Jeong W.

Netherlands - SIR Ranking of Netherlands. The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.

Поиск книг BookFi BookSee - Download books for free. Handbook of sensor networks: compact wireless and wired sensing systems. Measurement, Instrumentation, and Sensors Handbook. Категория: Chemistry, Laboratory Techniques. Mohammad Ilyas, Imad Mahgoub. Категория: 'Sensor networks. 'Redes de sensores', 'ReРњРѓseaux de capteurs.

Sensors are the front end devices for information acquisition from the natural and/or artificial world. Higher performance of advanced sensing systems is achieved by using various types of machine intelligence. Intelligent sensors are smart devices with signal processing functions shared by distributed machine intelligence.

Typical examples of intelligent sensors are the receptors and dedicated signal processing systems of the human sensory systems. The most important job of information processing in the sensory system is to extract necessary information from the receptors signals and transmit the useful information to the brain. This dedicated information processing is carried out in a distributed manner to reduce the work load of the brain. The processing also lightens the load of signal transmission through the neural network, the capacity of which is limited.

Although the performance of the receptors in our human sensory system is not always ideal and is frequently inferior to that of man-made sensors, the total performance is usually far superior to those of our technical sensing systems. The weak points of human receptors are masked by the information processing. This processing makes our sensory system adaptable to the environment and optimizes system performance.

The basic idea of this book, which contains new computing paradigms, is that the most advanced intelligent sensing system is the human sensory system. Section I reviews the technologies of intelligent sensors and discusses how they developed. Typical approaches for the realization of intelligent sensors emphasizing the architecture of intelligent sensing systems are also described. In section II, fundamental technologies for the fabrication of intelligent sensors and actuators are presented. Integration and micro-miniaturization techniques are emphasized. Section III presents advanced technologies approaching human sensory systems, these technologies are not directly aimed at practical applications, but introduce the readers to the development of engineering models of sensory systems. Technologies of integrated intelligent sensors, which will shortly be in use are introduced in section IV. In section V, examples are given of intelligent sensing systems which are used in industrial installations. Hardware for machine intelligence is not integrated at present, but can soon be implemented in the monolithic integrated structure. Without this machine intelligence, new functions, for example, self diagnosis or defects identification, cannot be realized. This section also demonstrates the potential of intelligent sensors in industry. Section VI introduces two interesting topics which are closely related to intelligent sensing systems. The first one is multisensor fusion. It is expected to be one of the fundamental and powerful technologies for realizing an advanced intelligent sensing systems. The second is visualizing technology of the sensed states for easy comprehension of the dynamic multi-dimensional state. This is useful for intelligent man-machine interfaces.

This book will be recognised by readers as a milestone in the rapid progress of intelligent sensors.