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检索条件"任意字段=11th Sensor Signal Processing for Defence Conference, SSPD 2022"

共 34 条记录，以下是11-20 订阅

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sspd conference 2022 - Welcome

2022 Sensor Signal Processing for Defence Conference, SSPD 2...

引用

2022 sensor signal processing for defence conference, sspd 2022 - Proceedings 2022年

作者： Davies, Mike McLaughlin, Steve Barr, Jordi Heald, Gary

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Vacuum Control Measurement System for Mass Spectrometer 11

Vacuum Control Measurement System for Mass Spectrometer

引用

11th International conference on Communications, Circuits and Systems (ICCCAS)

作者： Li, Ming Zhang, Shuai Chen, Jiwen North China Univ Technol Sch Elect & Control Engn Beijing Peoples R China

ISBN: (纸本)9781665469890

this paper presents a novel system for vacuum control measurement of Mass spectrometer, which consists of three main parts: Vacuum gauges sensor, analog signal and digital signal processing circuits and PC software. It can measure and record the pressure of vacuum signal from different parts of the mass spectrometer by the Pirani vacuum gauge which measures low vacuum pressure and the Penning vacuum gauge which measures the high vacuum pressure, the system can judge the valve from Pirani vacuum gauge and decide if it is suitable to power on/off the turbo pump, and the data from both gauges can be transferred to the PC, and display by the software. Finally, after experiments, the feasibility and reliability of the system is validated.

关键词： vacuum control measurement Mass spectrometer vacuum gauges sensor analog signal and digital signal processing

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Dereverberation and signal Separation of Speech signal Mixtures 11

Dereverberation and Signal Separation of Speech Signal Mixtu...

引用

11th International conference on Control, Automation and Information Sciences (ICCAIS)

作者： Nordholm, Sven Hai Huyen Dam Curtin Univ Sch Elect Engn Comp & Math Sci Perth WA Australia

ISBN: (数字)9781665452489

ISBN: (纸本)9781665452489

this paper contributes to the dereverberation and signal separation problem of speech signal mixtures in reverberant environments by comparing the performance of different subband transform techniques, namely PolyPhase Filter Banks (PPFB) and weighted overlap-add short-term Fourier transform (WOLA STFT). the subband techniques allow large deconvolution problem to be subdivided into many smaller problems, which are feasible to solve. the critical finding is that the PPFB has better performance measures when compared with the WOLA STFT while having a lower computational complexity due to a lower subsampling rate. From the evaluation study, it can be seen that both the signal separation and the de-reverberation perform well even for high levels of background noise (SNR=0dB).

关键词： System Identification and Reverberation Reduction Source Separation Noise reduction Multi-rate processing Acoustic sensor Array processing

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Edge Computing in Wireless Sensing Applications 11

Edge Computing in Wireless Sensing Applications

引用

11th Mediterranean conference on Embedded Computing (MECO) / 3rd Summer School on Cyber-Physical + Systems and Internet of things (CPS and IoT)

作者： Santejudean, Tudor Voicu Mois, George Dan Sanislav, Teodora Folea, Silviu Corneliu Tech Univ Cluj Napoca Dept Automat Cluj Napoca Romania

ISBN: (纸本)9781665468282

Edge computing has emerged as the solution to the continuously increasing numbers of Internet-connected devices and to the ever increasing amounts of data transmitted by them. through the use of advanced algorithms and hardware components it allows sensor data processing at the source and reduces the volumes of data transmitted within the network. this paper focuses on the idea of edge computing, looks at some of the most important achievements in the field, and presents a use case system that shows how edge intelligence is becoming more common. the developed use case system is an environmental wireless sensor that is able to run for long periods of time on a single coin-cell battery while measuring parameters like equivalent CO2 (carbon dioxide) and VOC (Volatile Organic Compounds). this was made possible through the device's design, components, and advanced firmware, that uses high-level signal processing and fusion algorithms.

关键词： Edge computing Internet-of-things wireless sensor

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Research on Acoustic Emission signal Acquisition System Based on Frequency Shifting 11

Research on Acoustic Emission Signal Acquisition System Base...

引用

2023 IEEE 11th International conference on Information, Communication and Networks, ICICN 2023

作者： He, Hengyu He, Pengju Li, Nan Northwestern Polytechnical University School of Automation Xi'an China Xìan Eurasia University School of Information Engineering Xi'an China

ISBN: (纸本)9798350314014

We designed and implemented a frequency-shifted acoustic emission (AE) signal acquisition system to capture AE signals generated during the operation of precision industrial machinery and equipment. First, we designed the architecture of the signal acquisition system and determined the selection of each functional module before completing the overall system design. Next, we completed the hardware design of the system, including the AE sensor, signal conditioning circuit, and FPGA processing core. Finally, we conducted an experimental test us-ing a grinding wheel grinder as an example to acquire the AE signal generated during the operation of the grinder, which verified the rationality and practicality of the acquisition system. © 2023 IEEE.

关键词： Frequency modulation

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Smart Touchless Control with Credit-Card Sized Radar sensor and Microcomputer 11

Smart Touchless Control with Credit-Card Sized Radar Sensor ...

引用

11th IEEE Global conference on Consumer Electronics, GCCE 2022

作者： Lee, Philip Hann Yung Lu, Yilong Nanyang Technological University School of Electrical and Electronic Engineering Singapore Singapore

ISBN: (纸本)9781665492324

A smart, low-cost, stand-alone, and reliable touchless human-computer interaction (HCI) using a tiny 60 GHz radar sensor and a small Raspberry Pi microcomputer with advanced radar signal processing and machine learning (ML), is proposed and implemented. three feature extraction techniques and various ML algorithms are explored and compared. Smart gesture classification is realized by an ensemble ML model with 3 non-deep and deep learning (DL) algorithms and the majority voting scheme to improve classification accuracy. Both radar signal processing and ML algorithms are implemented in Python language in a Raspberry Pi microcomputer with an optimization by TensorFlow Lite, which reduces DL CPU time by 120 times. the proposed HCI is also integrated with a menu driven use case, which could be easily adapted to many other gesture control applications for home and industrial appliances. © 2022 IEEE.

关键词： Microcomputers

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A Big Data Analysis Based Method for sensor Array Reconstruction of Lidar 3D Images 11th

A Big Data Analysis Based Method for Sensor Array Reconstruc...

引用

11th International conference on Communications, signal processing, and Systems, CSPS 2022

作者： Lu, Biao Liu, Wansu Wu, Wenping Information Engineering Department Suzhou University Suzhou234000 China

ISBN: (纸本)9789819926527

It is important to find an effective data processing method for sensor array reconstruction of lidar 3D images. Lidar point cloud is the smallest unit that describes the outer surface of targeted objects, and it is also an important factor for the accurate sensor array reconstruction of 3D target object images. Hence, how to effectively conduct lidar point cloud data classification becomes important for data processing of sensor array reconstruction. this paper suggested a sensor array reconstruction model for lidar 3D images based on big data analysis, performed the surface reconstruction of triangular meshes. the results showed the effectiveness of the proposed method. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Big data

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Environment Explosiveness Level Evaluation Improvement Using Machine Learning 11

Environment Explosiveness Level Evaluation Improvement Using...

引用

11th Mediterranean conference on Embedded Computing (MECO) / 3rd Summer School on Cyber-Physical + Systems and Internet of things (CPS and IoT)

作者： Spirjakin, Denis Baranov, Alexander Ivanov, Ivan Karami, Hossein Gharehpetian, Gevork B. Moscow Inst Aviat Technol Dept Radioelect Telecommun & Nanotechnol Moscow Russia Niroo Res Inst High Voltage Studies Res Dept Tehran Iran Amirkabir Univ Technol Elect Engn Dept Tehran Iran

ISBN: (纸本)9781665468282

Environment explosiveness level monitoring is the crucial method to prevent emergencies related to combustible gas leakages. In this paper, the results of advanced signal processing for environment integral explosiveness evaluation are presented. the signal processing is based on machine learning techniques application to take into account the information presented in the multidimensional signal retrieved by the temperature modulated measurements. the signal measurements were performed for clean air, hydrogen (1 %vol.), methane (1 %vol.), ethylene (1 %vol.), propane (1 %vol.), butane (0.7 %vol.) and n-hexane (0.5 %vol.). To measure the signal, the node prototype with the catalytic gas sensor was used. the data from the prototype was transmitted by wireless channel to a personal computer to be stored and processed. Two models were trained: a linear regression and a neural network. the models were trained using stochastic gradient descent algorithm. the training was performed while the validation error value was decreased. the results for the models were compared with the known method of environment explosiveness level estimation. It was shown that the available method has a low performance for specific gases. the presented models are able to decrease the average error of explosiveness level estimation for the gases in research from 7.8 %LEL down to 0.12 %LEL. thereat the error level stays almost the same for all gases.

关键词： explosions gas sensors catalytic sensor gas detectors leak detection

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Sink Trajectory Planning for Data Collection in Mobile Wireless sensor Network 11th

Sink Trajectory Planning for Data Collection in Mobile Wir...

引用

11th International conference on Communications, signal processing, and Systems, CSPS 2022

作者： Tian, Xiaoqing Li, Siwei Liang, Jing School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9789819926527

In mobile wireless sensor networks, the efficient collection of sensors’ data is the key to ensuring the quality of space monitoring. In this paper, considering the trajectory length and energy consumption of network data collection, we propose the virtual force and improved LEACH (Low Energy Adaptive Clustering Hierarchy) based algorithm (V-ILEACH) to realize the trajectory planning of sink. Compared with the algorithm based on traveling salesman problem (TSP), V-ILEACH achieves significant reduction of trajectory length on the basis of ensuring complete data collection. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wireless sensor networks

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Design of a Low Cost Current sensor for Energy Management Applications 11

Design of a Low Cost Current Sensor for Energy Management Ap...

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11th IEEE Global conference on Consumer Electronics, GCCE 2022

作者： Meier, Phil Ferhi, Oussama Rohrmann, Kris Sandner, Marvin Prochaska, Marcus Ostfalia University of Applied Sciences Faculty of Electrical Engineering Wolfenbuettel Germany

ISBN: (纸本)9781665492324

the precise measurement of electrical currents is an important enabler for many emerging applications. Especially in the context of smart homes and smart grids the sensing of currents can allow an optimized power consumption. In such cases the precises measurements of currents with an accuracy of milliamps in an predefined measurement range is often needed. In such cases available sensing concepts that are aimed for industrial applications are often unsuitable and unable to reach the desired resolution. In addition, secondary requirements such as linearity, reliability, applicability, and total system cost must be considered. this work suggests a low cost open loop setup that combines amorphous metal with a modulated hall concept to achieve a high accuracy. Furthermore it is shown that a rather small neuronal network can be used to combine signal processing and calibration in a single step which allows for fast measurements. © 2022 IEEE.

关键词： Costs

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