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High-Precision Demodulation Method of MEMS Gyroscope Signal 3

High-Precision Demodulation Method of MEMS Gyroscope Signal

3rd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022

作者： Li, Jiawei Qin, Jun Sun, Xinyue Zhao, Ergang Yue, Zhao College of Electronic Information and Optical Engineering Nankai University Tianjin China College of Electronic Information and Optical Engineering Smart Sensing Interdisciplinary Science Center Nankai University Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology Nankai University Tianjin China

ISBN: (纸本)9781665492812

The output signal components of the sensitive end of micro-electro-mechanical system (MEMS) gyroscope are complex, and the design error of the back-end demodulation circuit can greatly affect the detection accuracy of the gyroscope. Therefore, this paper designs a high-precision signal demodulation scheme applicable to MEMS gyroscope sensors. The scheme improves the traditional signal demodulation technology by combining the correlation demodulation technology and the fast Fourier transform (FFT) technology, and after the correlation demodulation of the gyroscope-sensitive signal, the infinite impulse response (IIR) filter and the FFT transform are used to jointly extract the amplitude information of the fundamental frequency signal and do the fusion processing, so as to achieve the very high precision extraction of the input angular velocity. The feasibility of the demodulation scheme is verified by field programmable gate array (FPGA) simulation. The experimental results show that the combined IIR and FFT filtering algorithm has higher demodulation accuracy than the single low-pass finite impulse response (FIR) filtering algorithm. © 2022 IEEE.

关键词： digital low-pass filter fast Fourier transform MEMS gyroscope switch demodulation

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Research on photovoltaic power generation based on multi-channel PID 2

Research on photovoltaic power generation based on multi-cha...

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2nd IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021

作者： Liu, Juan Hu, Xusheng Zheng, Rui Ma'Anshan Technical College Department of Electrical Engineering Ma'anshan China Wanjiang University of Technology Ma'Anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Ma'anshan China Anhui Normal University Anhui Provincial Engineering Laboratory on Information Fusion and Control of Intelligent Robot Wuhu China

ISBN: (纸本)9781728190181

In order to improve the utilization efficiency of solar energy, based on the in-depth study of the characteristics of solar energy, a control scheme based on daily motion trajectory was designed. In this scheme, single chip microcomputer is used as the controller to realize the output of SPWM waveform, and the compound PID with multiplexing selection is used to control the Angle of solar panel, so as to achieve the effect of fast and sensitive tracking of solar illumination. Through the angle sensor, on-line monitoring of the angle data of the solar panel, according to the intelligent control optimization algorithm, combined with single-chip microcomputer control technology, a more optimized control scheme is proposed. The experimental data show that the design effect is good and the expected control goal is achieved. © 2021 IEEE.

关键词： Solar energy

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Fire Detection Method Based on Improved Fruit Fly Optimization-Based SVM

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Computers, Materials & Continua 2020年第1期62卷 199-216页

作者： Fangming Bi Xuanyi Fu Wei Chen Weidong Fang Xuzhi Miao Biruk Assefa College of Computer Science and Technology China University of Mining and TechnologyXuzhou221116China College of Computer Science and Technology Mine Digitization Engineering Research Center of the Ministry of EducationChina University of Mining and TechnologyXuzhou221116China College of Computer Science and Technology Xi’an University of Science and TechnologyXi’an710054China Key Laboratory of Wireless Sensor Network&Communication Shanghai Institute of Micro-System and Information TechnologyChinese Academy of SciencesShanghai201899China Infromation Communication Technology Department Wollo UniversityDessie EthiopiaP.o Box 1145Ethiopia

Aiming at the defects of the traditional fire detection methods,which are caused by false positives and false negatives in large space buildings,a fire identification detection method based on video images is *** algorithm first uses the hybrid Gaussian background modeling method and the RGB color model to perform fire prejudgment on the video image,which can eliminate most non-fire ***,the traditional regional growth algorithm is improved and the fire image segmentation effect is effectively ***,based on the segmented image,the dynamic and static features of the fire flame are further analyzed and extracted in the area of the suspected fire ***,the dynamic features of the extracted fire flame images were fused and classified by improved fruit fly optimization support vector machine,and the recognition results were *** video-based fire detection method proposed in this paper greatly improves the accuracy of fire detection and is suitable for fire detection and identification in large space scenarios.

关键词： Fire detection image segmentation feature extraction fruit fly optimization support vector machine

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A Novel FPGA-Based Delay-Line Implementation and Interpolation Method Using TDCs

A Novel FPGA-Based Delay-Line Implementation and Interpolati...

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2023 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2023

作者： Sun, Xinyue Shi, Yuchen Li, Jiawei Ren, Yichen Zhao, Ergang Yue, Zhao College of Electronic Information and Optical Engineering Nankai University Tianjin China College of Electronic Information and Optical Engineering Smart Sensing Interdisciplinary Science Center of Nankai University Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology Nankai University Tianjin China

ISBN: (纸本)9798350318012

Precision time digital converter (i.e., TDC) is a crucial technique for sensing and detecting and is frequently employed in a variety of contexts, including inertial navigation, aviation, space physics, and optical fiber communication. However, the implementation of a stable and uniform delay line and the accurate time interpolation are frequent trouble in the implementation process but are hardly ever analyzed as a whole. In order to develop a full and exact system, this manuscript examines the two primary issues and offers practical solutions. The system is tested in the low-cost FPGA of the Altera Cyclone IV series. According to the test results, the precision TDC system performs admirably, with an RMS accuracy of approximately 18.54 ps. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Research on New Energy Power Forecast and meteorological Disaster Warning Platform 4

Research on New Energy Power Forecast and Meteorological Dis...

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4th International Conference on Power and Renewable Energy, ICPRE 2019

作者： Xu, Peihua Chen, Zhenghong Mou, Ling Liang, Yun Liu, Jun Cui, Yang Normal University New Energy Meteorological Service Department of Computer Science and Technology Wuhan China New Energy Meteorological Service Hubei Meteorological Service Center Wuhan China Hubei Energy Group New Energy Development Co. Ltd Wuhan China State Grid Henan Electric Power Research Institute Zhengzhou China Electronic Engineering Insitute Department of Network Hefe China

ISBN: (纸本)9781728145747

With the large-scale grid connected operation of new energy power plants, the safe operation of grid and new energy power plants has been faced with unprecedented challenges, especially the influence of meteorological conditions. Due to the inherent volatility of new energy, accurate prediction of generation power can effectively reduce the impact on the electricity grid system. In order to improve the prediction accuracy, a dynamic meteorological element correction method considering multiple meteorological elements is introduced, and a centralized power forecasting platform is established. At the same time, due to the frequent occurrence of extreme weather events in recent years, such as wind fan icing, lightning gale, hail, mountain torrents and so on, all of them have brought challenges to the safe operation of new energy power plants, so a fan icing warning model has been developed. Based on the Internet automatic published information plantform of meteorological disaster has established which greatly reduced the loss of power plants caused by the extreme weather. © 2019 IEEE.

关键词： Disasters

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DisCANTree: A Distributed Algorithm for Incremental Frequent Itemset Mining based on MapReduce

DisCANTree: A Distributed Algorithm for Incremental Frequent...

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2020 International Conference on Machine Learning and Computer Application, ICMLCA 2020

作者： Xiao, Wen Hu, Juan Key Lab. of Unmanned Aer. Vehicle Devmt. and Data Application of Anhui Higher Education Institutes Wanjiang University of Technology Maanshan243000 China Ma'Anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Wanjiang University of Technology Maanshan243000 China

Frequent itemset mining is one of the most important data mining tasks. Classical frequent itemset mining algorithms need to store data in a centralized way and run in a batch way, which cannot meet the requirements of fast updating big data mining. In this paper, we propose a distributed incremental frequent itemset mining algorithm, DisCANTree, which uses CANTree to store the conditional database, achieves the load balance between nodes by grouping all items, updates the new transaction to the existing CANTree to avoid the load of tree reconstruction, and uses the efficient FPGrowth algorithm to mine CANTree to generate frequent itemsets. The popular distributed programming model MapReduce and its open source system Hadoop are used to implement the DisCANTree algorithm. The experimental results show that the DisCANTree algorithm has more advantages than the most popular PFP algorithm in performance as well as the number of transferred records between nodes, and especially suits for the fast updating sparse big data. © Published under licence by IOP Publishing Ltd.

关键词： MapReduce

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Design and implementation of UAV obstacle avoidance based on STM32 3

Design and implementation of UAV obstacle avoidance based on...

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3rd International Conference on Mechatronics and Mechanical engineering, ICMME 2024

作者： Hu, Xusheng Liu, Juan Ma'anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Ma’anshan243031 China Anhui Provincial Engineering Laboratory on Information Fusion and Control of Intelligent Robot Wuhu241002 China Ma'anshan Technical College Ma'anshan243030 China

ISBN: (纸本)9781510681651

With the development of remote control and telemetry technology, the application of UAV is more and more extensive, and the requirement of UAV flight control is higher and higher. In order to enhance the stability of UAV hardware system, the power supply part is protected in various ways;a spare chip is added to ensure the effectiveness of attitude calculation;SPI peripheral interface is reserved to expand GPS, ultrasonic and other sensors. Through the mathematical model, the calibration method of accelerometer and gyroscope is introduced, and the importance of this step for flight control system is emphasized. The software flow chart of the system is designed, and the mathematical model of obstacle avoidance algorithm is given. The classic PID control algorithm and simulation method are used to realize the obstacle avoidance of UAV. Considering the problems that may be encountered in UAV obstacle avoidance, the mathematical model is established, the evaluation index is given, and the control experiment is designed. Experimental results show that the algorithm has good obstacle avoidance effect and strong robustness in low speed and complex environment. © 2024 SPIE.

关键词： Three term control systems

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An Iterative Graph Spectral Subtraction Method for Speech EnhancementI

arXiv

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arXiv 2020年

作者： Yan, Xue Yang, Zhen Wang, Tingting Guo, Haiyan Department of Communication and Information Engineering Nanjing University of Posts and Telecommunications National Engineering Research Center of Communication and Sensor Network Technology

In this paper, we investigate the application of graph signal processing (GSP) theory in speech enhancement. We first propose a set of shift operators to construct graph speech signals, and then analyze their spectrum in the graph Fourier domain. By leveraging the differences between the spectrum of graph speech and graph noise signals, we further propose the graph spectral subtraction (GSS) method to suppress the noise interference in noisy speech. Moreover, based on GSS, we propose the iterative graph spectral subtraction (IGSS) method to further improve the speech enhancement performance. Our experimental results show that the proposed operators are suitable for graph speech signals, and the proposed methods outperform the traditional basic spectral subtraction (BSS) method and iterative basic spectral subtraction (IBSS) method in terms of both signal-to-noise ratios (SNR) and mean Perceptual Evaluation of Speech Quality (PESQ). Copyright © 2020, The Authors. All rights reserved.

关键词： Speech enhancement

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Towards a Smart Manufacturing Maturity Assessment Framework: A Socio-Technical Perspective 2

Towards a Smart Manufacturing Maturity Assessment Framework:...

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2nd International Conference on Computer Information Science and Application technology, CISAT 2019

作者： Yue, Lei Niu, Pengfei Fang, Yifang Han, Zhonghua Sensor and Network Control Center Instrumentation Technology and Economy Institute Beijing100055 China Information Center Instrumentation Technology and Economy Institute Beijing100055 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang110016 China

Researchers of information technology (IT) have often suggested that there is no clear relevance between the IT investment and return on investment (ROI) of enterprises. This phenomenon is called "productivity paradox". However, research on smart manufacturing capability maturity did not reflect empirically the fact that enterprises rarely benefit from information systems. Therefore, the aim of this article attempts to explore how humans and technologies are related and propose a smart manufacturing maturity assessment framework that can reveal the interaction between humans and technologies. This research addressed two questions, (a) what domains can be identified for smart manufacturing, and (b) how to harmonize all of the technical and social factors affecting maturity and benefits. A complicated concept "socio-technical system" was surveyed for interpreting how enterprises benefit from technologies. Results of this study showed a smart manufacturing maturity assessment framework from the socio-technical perspective. As an explanation, the understanding of manufacturing operations management (MOM) capability maturity model (CMM) within the framework in the case study and its results were presented. To conclude, this study may be regarded as a meta-model or reference model for specific maturity models, as well as has the merit of offering valuable insights into the maturity assessment. © Published under licence by IOP Publishing Ltd.

关键词： Flow control

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Sparsity-Based Direct Location Estimation Based on Two-step Dictionary Learning

Sparsity-Based Direct Location Estimation Based on Two-step ...

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The 9th International Conference on Wireless Communications,networking and Mobile Computing(WICOM 2013)

作者： Tingting Wang Wei Ke Gang Liu The Jiangsu Engineering Center of Meteorological Sensor Network Technology Nanjing University of Information Science and Technology The Jiangsu Key Laboratory on Optoelectronic Technology School of Physics and TechnologyNanjing Norm University Key Laboratory of Disaster Reduction and Emergency Response Engineering of the Ministry of Civil Affairs

This paper proposes an adaptive sparsity-based direct position determination (DPD) appoach to locate multiple targets in the case of time-varying channels. The novel feature of this method is to dynamically adjust both the overcomplete basis and the sparse solution based on a two-step dictionary learning (DL) framework. The method first performs supervised offline DL by using the quadratic programming approach, and then the dictionary is continuously updated in an incremental fashion to adapt to the time-varying channel during the online stage. Furthermore, the method does not need the number of emitters a prior. Simulation results demonstrate the performance of the proposed algorithm on the location estimation accuracy.

关键词： Dictionary Learning Compressive Sensing Direct Location Time-Varying Channel Quadratic Programming

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