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Titlebook: Sensing Technology; Proceedings of ICST Nagender Kumar Suryadevara,Boby George,Subhas Chan Conference proceedings 2022 The Editor(s) (if a

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發(fā)表于 2025-3-21 19:03:12 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Sensing Technology
副標題Proceedings of ICST
編輯Nagender Kumar Suryadevara,Boby George,Subhas Chan
視頻videohttp://file.papertrans.cn/866/865085/865085.mp4
概述Features the state of the art in sensing technology.Gathers the proceedings of the 14th International Conference on Sensing Technology (ICST 2022).Written by leading experts in the field
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Sensing Technology; Proceedings of ICST  Nagender Kumar Suryadevara,Boby George,Subhas Chan Conference proceedings 2022 The Editor(s) (if a
描述.This book gathers the latest advances, innovations, and applications in the field of sensing technology, as presented by international researchers and engineers at the 14th International Conference on Sensing Technology (ICST), held in Chennai, India on January 17-19, 2022. Contributions include a?wide range of topics such as: vision sensing, sensor signal processing, sensors phenomena and modelling, sensor characterization, smart sensors and sensor fusion, electromagnetic, chemical and physical sensors, electronic nose technology, biosensors, nano sensors, wireless sensors and WSN, Internet of Things, optical sensors, sensor arrays, intelligent sensing, Internet-based and remote data acquisition. The?contributions, which were selected by?means of?a rigorous international peer-review process, present a wealth of?exciting ideas that will open novel research directions and foster multidisciplinary collaboration among different specialists..
出版日期Conference proceedings 2022
關(guān)鍵詞ICST; Smart Sensors; IoT; Optical Sensors; Sensor Signal Processing; Biological Sensors; Intelligent sensi
版次1
doihttps://doi.org/10.1007/978-3-030-98886-9
isbn_softcover978-3-030-98888-3
isbn_ebook978-3-030-98886-9Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Real-Time Object Detection and Tracking from Videos,icle filter independently. However, the tracking algorithm using Particle filter that also integrates an Auto-regressive model (ARM) for motion prediction, gives best result as compared to the other approaches. Our algorithm demonstrates accuracy and near real-time results which are on par with the
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FEA Analysis on the Optimum Placement of Sensor for Early Detection of Damage in Concrete Pavements wireless transmitter. The sensing elements will include the use of in-pavement sensors embedded within the concrete for internal monitoring of the pavement. The energy harvester will be a transmitter to transmit signals for sensors to harvest energy avoiding the use of cables and a power supply. La
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A Simple, Linear Circuit for Measurement of Sub-pF Range of Capacitances Using a Double Differentiaroach. The simulation results presented here confirms this linear relationship and also its high sensitivity. The other merits of this circuit such as high resolution, good range and good noise-immunity were also observable in the simulation results. So, once its efficacy is proved on hardware, this
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