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Power Energy Systems and Applications (ICoPESA), International Conference on

作者： Ping Ji Quan Zhu Maanshan Wireless Sensor Network and Intelligent Perception Engineering Technology Research Center Maanshan China Wanjiang University of Technology Maanshan China Maanshan University Maanshan China

With the rapid development of new energy technology, all kinds of distributed power grids are connected to the main power grid, generating a large number of complex disturbance signals. In order to ensure the safety of the power grid and solve the difficult problem of power grid disturbance identification, this paper proposes a classification recognition algorithm based on the combination of energy difference (ED) and support vector machine (SVM) optimized by the Whale optimization algorithm (WOA). Firstly, the disturbance signal is decomposed with multi-resolution, and the energy difference of each layer is calculated as the characteristic quantity of the disturbance signal. Then, WOA algorithm was used to optimize SVM, and the optimal solutions of penalty parameters and kernel parameters were obtained. Finally, the feature vector is input into the WOA-SVM model, and the output disturbance signal type is automatically identified. Experimental results show that this method can accurately identify single and complex disturbance signals. In the noise environment, it shows strong robustness. The overall recognition rate of ED-WOA-SVM is over 99%.

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A Positioning Method and Realization on Single Satellites in Different Orbits Using TDOA

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China Communications 2023年第7期20卷 108-121页

作者： Laiding Zhao Xun Zhu Gengxin Zhang Zhaowen Wang College of Telecommunications and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China “Telecommunication and Network”National Engineering Research Center Nanjing University of Posts and TelecommunicationsNanjing 210003China Shanghai Aerospace Electronic Technology Institute Shanghai 201109China

The main geolocation technology currently used in COSPAS-SARSAT system is TDOA/FDOA or three-star TDOA,the principle is to determine the location of the signal source by using the difference in arrival time and frequency of the wireless signal between different ***,ground monitoring stations need to be equipped with more than two antenna receiving stations,and multiple satellites should be able to simultaneously relay the distress signal from the target source in order to achieve the geolocation ***,when the ground receiving system has only one antenna receiving station,or the target source is in a heavily obscured environment,the ground side is unable to receive the forwarded signals from multiple satellites at the same time,which will make it impossible to *** address these problems,in this paper,a time-sharing single satellite geolocations method based on different orbits is proposed for the first *** method uses one or several low-earth orbit satellites(LEO)and mediumearth orbit satellites(MEO)in the visible area,and the receiving station only needs one pair of receiving antennas to complete the *** can effectively compensate for the shortcomings of the traditional TDOA using the same moment and have better positioning accuracy compared with the single satellite in the same *** to the limited experimental conditions,this paper tests the navigation satellite using different orbit time-sharing single satellite geolocations,and proves that the positioning method has high positioning accuracy and has certain promotion and application value.

关键词： different orbit time-sharing non-convex optimization single satellite TDOA

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Fusion Algorithm for Foggy Image Enhancement Based on Transmittance Weight Factor 4

Fusion Algorithm for Foggy Image Enhancement Based on Transm...

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4th International Conference on Artificial Intelligence and Big Data, ICAIBD 2021

作者： Sun, Wei Zhang, Meng Wang, Jintao Wanjiang University of Technology Maanshan Wireless Sensor Network and Intelligent Perception Engineering Technology Research Center Maanshan China Wanjiang University of Technology Maanshan China

ISBN: (纸本)9780738131702

Fusion algorithm for foggy image enhancement based on transmittance weight factor is proposed. Firstly, the rough transmittance image of foggy image is obtained by the dark channel prior dehazing algorithm, and then the fine transmittance image is obtained by the guided filter. The dehazing image is obtained by the dark channel prior dehazing method based on the guided filter, and the enhanced image is obtained by histogram equalization based on the HSI color model. Finally, the weight factor is constructed by the fine transmittance, the above dehazing image and enhanced image are processed by weighted fusion. The algorithm gives full play to the respective advantages of two kinds of algorithms in foggy image processing, and significantly improves the fog removal and enhancement effect of foggy image. © 2021 IEEE.

关键词： Image enhancement

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research on Power Grid Disturbance Signal Identification Method Based on Energy Difference

Research on Power Grid Disturbance Signal Identification Met...

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2022 International Conference on Power Energy Systems and Applications, ICoPESA 2022

作者： Ji, Ping Zhu, Quan Key Lab. of Unmanned Aer. Vehicle Development Data Application of Anhui Higher Education Institutes Ma'anshan China Maanshan Wireless Sensor Network and Intelligent Perception Engineering Technology Research Center Wanjiang China University of Technology Maanshan China Maanshan University Ma'anshan China

ISBN: (纸本)9781665410977

With the rapid development of clean energy generation technology, a large number of distributed power sources are integrated into the local power grid, resulting in the intensification of disturbance signals in the power grid. It is particularly important to effectively classify and identify the disturbance signals in the power grid. This paper presents a recognition method based on energy difference and support vector machine. The method extracts signal feature vectors by calculating the energy difference of power grid signals and sends them to support vector machine for classification. Experiments were carried out on the power grid signals with and without noise. Experiments show that this method can effectively classify and recognize the disturbance signals, and the recognition rate is greatly improved. The effectiveness of the method is proved. This paper provides a theoretical basis for the improvement of power grid quality and intelligent monitoring management in the future. © 2022 IEEE.

关键词： Support vector machines

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A star selection strategy based on MDS and fast convex hull algorithm in COSPAS-SARSAT system 4

A star selection strategy based on MDS and fast convex hull ...

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2024 4th International Conference on Computer, Remote Sensing and Aerospace, CRSA 2024

作者： Zhu, Xun Zhao, Laiding Zhang, Gengxin College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing210003 China Telecommunication and Network National Engineering Research Center Nanjing University of Posts and Telecommunications Nanjing210003 China

The space segment of the current COSPAS-SARSAT system is mainly supported by the Galileo system, and the positioning technology used is generally three-star time-difference positioning. Most of the antennas equipped in the Mission Control Centre (MCC) are not omnidirectional. In the case of Source of Search and Rescue (SAR) in a heavily shaded environment, it is necessary to use the different orbit time-sharing single satellite geolocations using TDOA, and the time-sharing will generate more satellite position data. In order to achieve the higher positioning accuracy of the solution, it is necessary to select the appropriate time and optimal geometrical distribution from the satellite positions. In this paper, we propose a satellite selection strategy based on Multiple Dimensional scaling (MDS) data degradation and a fast convex hull algorithm. The three-dimensional satellite data are downscaled to two-dimensional while maintaining their relative positional relationships, and the two-dimensional convex hull algorithm is used for Geometric Dilution of Precision (GDOP) minimum search star selection. By simulating the satellite position data in different orbits and time-sharing to complete the localization solution, the results show that compared with the traditional satellite selection method, the satellite selection strategy proposed in this paper is able to achieve better localization accuracy in a shorter period of time. © Published under licence by IOP Publishing Ltd.

关键词： Stars

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Design of Solar Endurance Control for Unmanned Aerial Vehicles based on Schmidt Trigger Control

Design of Solar Endurance Control for Unmanned Aerial Vehicl...

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2023 Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2023

作者： Hu, Xusheng Liu, Juan Kocheril, Rajesh 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 Toc H Institute of Science & Technology APJ Abdul Kalam Technological University Kerala India

In order to improve the endurance of unmanned aerial vehicles (UAVs), a power supply controller with automatic switching between solar energy and battery was designed. The controller is mainly composed of an AT89C51 single chip microcomputer. By collecting ambient light intensity and comparing it with the preset light intensity of the system, the controller completes automatic switching of the power supply for solar unmanned aerial vehicles, thereby achieving continuous and stable power supply for solar unmanned aerial vehicles. In addition, the implementation method of the single-chip microcomputer program in the controller is also introduced. The control core is to use Schmidt de shake control to switch between solar energy and battery, and to test the various functions of the controller through the flight experiment of a small solar powered unmanned aerial vehicle. Tests have found that solar powered drones using this controller can navigate for a long time in weather with varying light intensity, and the device operates well, effectively improving the power stability of solar powered drones. © Published under licence by IOP Publishing Ltd.

关键词： Controllers

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Design of Temperature Measurement and Identification System based on STM32 22

Design of Temperature Measurement and Identification System ...

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2022 International Workshop on Control Sciences and Automation, WCSA 2022

作者： Hu, Xusheng Liu, Juan Tao, Binbin 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 Anhui Wuhu241002 China Ma'anshan Technical College Ma'anshan243030 China

ISBN: (纸本)9781450389396

In order to carry out contactless temperature measurement and identification and improve the speed of authentication, a temperature measurement and identification system based on STM32 is designed. Infrared temperature sensor is used for contactless temperature acquisition and measurement, and openmv system is used for identification. Openmv accurately recognizes the face and transmits the data to the single chip microcomputer, so as to control the LED lamp and buzzer for corresponding data output and alarm. The infrared temperature sensor collects the temperature and accurately displays it on the OLED screen through the single chip microcomputer. The experimental data show that the temperature control accuracy is ± 0.7 g, the success rate of identity recognition is higher than 80%, and the temperature and identity recognition effect are obvious. © 2022 ACM.

关键词： Temperature measurement

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Demonstration of Einstein–Podolsky–Rosen Steering with Multiple Observers via Sequential Measurements

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Chinese Physics Letters 2022年第11期39卷 1-5页

作者： Jian Li Yang Zhou Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology(Ministry of Education) Nanjing University of Posts and TelecommunicationsNanjing 210003China National Engineering Research Center of Telecommunication and Networks Nanjing University of Posts and TelecommunicationsNanjing 210003China

Quantum correlation is a fundamental property that distinguishes quantum systems from classical ones,and is also a fragile resource under projective ***,it has been shown that a subsystem in entangled pairs can share nonlocalities with multiple observers in *** we present a new steering scenario where both subsystems are accessible by multiple *** results show that the two qubits in a singlet state can be simultaneously steered separately by two sequential observers.

关键词： Einstein projective subsystem

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research on Output Characteristics of Solar Photovoltaic Power Generation MPPT

Research on Output Characteristics of Solar Photovoltaic Pow...

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2021 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2021

作者： Liu, Juan Hu, Xusheng Ma'anshan Technical College Ma'anshan243030 China Ma'anshan Engineering Technology Research Center for Wireless Sensor Network and Intellisense Ma'anshan243031 China

ISBN: (纸本)9781665441308

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. © 2021 IEEE.

关键词： Solar energy

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Incremental Learning Algorithm Based on Graph Regularized Non-negative Matrix Factorization with Sparseness Constraints 4

Incremental Learning Algorithm Based on Graph Regularized No...

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4th International Conference on Artificial Intelligence and Big Data, ICAIBD 2021

作者： Wang, Jintao Zhang, Meng Hu, Xusheng Ni, Tianwei Key Lab. of Unmanned Aer. Vehicle Devmt. and Data Application of Anhui Higher Education Institutes Maanshan Wireless Sensor Network and Intelligent Perception Engineering Technology Research Center Wanjiang University of Technology Maanshan China Wanjiang University of Technology Maanshan China

ISBN: (纸本)9780738131702

Focused on the issues that the sparseness of the data obtained after factorization is reduced and with the increasing of training samples, the computing scale increases rapidly, an incremental learning algorithm based on graph regularized non-negative matrix factorization with sparseness constraints was proposed. It not only considers the geometric structure in the data representation, but also introduces sparseness constraint to coefficient matrix and combines them with incremental learning. Using the results of previous factorization involved in iterative computation with sparseness constraints and graph regularized, the cost of the computation is reduced and the sparseness of data after factorization is highly improved. Experiments on both ORL and PIE face recognition databases demonstrate the effectiveness of the proposed method. © 2021 IEEE.

关键词： Non-negative matrix factorization

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