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Hong-Yan Xing
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China

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Journal article
Published: 12 June 2021 in Journal of Marine Science and Engineering
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In order for the detection ability of floating small targets in sea clutter to be improved, on the basis of the complete ensemble empirical mode decomposition (CEEMD) algorithm, the high-frequency parts and low-frequency parts are determined by the energy proportion of the intrinsic mode function (IMF); the high-frequency part is denoised by wavelet packet transform (WPT), whereas the denoised high-frequency IMFs and low-frequency IMFs reconstruct the pure sea clutter signal together. According to the chaotic characteristics of sea clutter, we proposed an adaptive training timesteps strategy. The training timesteps of network were determined by the width of embedded window, and the chaotic long short-term memory network detection was designed. The sea clutter signals after denoising were predicted by chaotic long short-term memory (LSTM) network, and small target signals were detected from the prediction errors. The experimental results showed that the CEEMD-WPT algorithm was consistent with the target distribution characteristics of sea clutter, and the denoising performance was improved by 33.6% on average. The proposed chaotic long- and short-term memory network, which determines the training step length according to the width of embedded window, is a new detection method that can accurately detect small targets submerged in the background of sea clutter.

ACS Style

Yan Yan; Hongyan Xing. Small Floating Target Detection Method Based on Chaotic Long Short-Term Memory Network. Journal of Marine Science and Engineering 2021, 9, 651 .

AMA Style

Yan Yan, Hongyan Xing. Small Floating Target Detection Method Based on Chaotic Long Short-Term Memory Network. Journal of Marine Science and Engineering. 2021; 9 (6):651.

Chicago/Turabian Style

Yan Yan; Hongyan Xing. 2021. "Small Floating Target Detection Method Based on Chaotic Long Short-Term Memory Network." Journal of Marine Science and Engineering 9, no. 6: 651.

Journal article
Published: 10 June 2021 in Measurement Science and Technology
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ACS Style

Xu Yang; Hongyan Xing; Yan Yan. A data complementary method for sound source localization based on four-element microphone array groups. Measurement Science and Technology 2021, 32, 095015 .

AMA Style

Xu Yang, Hongyan Xing, Yan Yan. A data complementary method for sound source localization based on four-element microphone array groups. Measurement Science and Technology. 2021; 32 (9):095015.

Chicago/Turabian Style

Xu Yang; Hongyan Xing; Yan Yan. 2021. "A data complementary method for sound source localization based on four-element microphone array groups." Measurement Science and Technology 32, no. 9: 095015.

Journal article
Published: 06 June 2021 in Alexandria Engineering Journal
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Weak signal detection has always been a hot spot in the signal processing field. In this paper, the chaotic and large data size characteristics of sea clutter are analyzed, the advantage of the Long and Short Term Memory network (LSTM) is taken to design a weak signal detection method based on deep learning. The reconstructed phase space signal is used as the input of LSTM network, the length of training data is determined by embedding dimension and delay time, and a chaotic prediction model is established to detect weak signals from the prediction error. In order to improve the detection performance, reduce the missing rate of deep learning method for small feature signal, frequency domain conversion of the prediction error is conducted, the spectrum of the prediction error of different distance gates is compared to locate the coordinates of the weak signal. The experimental results show that the sea clutter detection method based on LSTM prediction error frequency domain conversion has strong applicability and higher accuracy, and the detection performance is improved by 30%.

ACS Style

Yan Yan; Hong-Yan Xing. A sea clutter detection method based on LSTM error frequency domain conversion. Alexandria Engineering Journal 2021, 61, 883 -891.

AMA Style

Yan Yan, Hong-Yan Xing. A sea clutter detection method based on LSTM error frequency domain conversion. Alexandria Engineering Journal. 2021; 61 (1):883-891.

Chicago/Turabian Style

Yan Yan; Hong-Yan Xing. 2021. "A sea clutter detection method based on LSTM error frequency domain conversion." Alexandria Engineering Journal 61, no. 1: 883-891.

Research article
Published: 16 April 2021 in Mobile Information Systems
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The relationship between smart devices and human beings is one of the research hotspots of the Fourth Industrial Revolution (4IR). In this regard, we explored the practical relationship between the 3D electric field components measured by the smart 3D atmospheric electric field apparatus (AEFA) and the thunderstorm activity from the perspective of the observer. Especially, in the application of AEFA, a smart calibration method is proposed to solve the problem of inconvenient thunderstorm data acquisition. Firstly, in order to obtain the thunderstorm charge position from the observation angle of the apparatus, this paper establishes a 3D electric field measurement model. According to the mirror method theory, we further obtain the charge potential distribution at AEFA. Then, the electric field components are derived by using the potential distribution formula with permittivity. In addition, based on the vector relation of the model, the thunderstorm charge azimuth and elevation angles are obtained. Finally, after the establishment of a new coordinate system, the calibration of charge localization is carried out, based on the observation point. Meanwhile, a preliminary solution is given to the problem that the elevation of the apparatus position affects the localization performance. Results show that the method matches the data of radar map and microphone array, which reflects the advantages of the method. Besides, this method can be used not only in sound source localization but also in AI thunderstorm monitoring system to realize a big data net observation.

ACS Style

Xu Yang; Hongyan Xing; Xinyuan Ji; Zenghui Wang. Smart Localization of Thunderstorm Charge for Human 4IR Applications. Mobile Information Systems 2021, 2021, 1 -15.

AMA Style

Xu Yang, Hongyan Xing, Xinyuan Ji, Zenghui Wang. Smart Localization of Thunderstorm Charge for Human 4IR Applications. Mobile Information Systems. 2021; 2021 ():1-15.

Chicago/Turabian Style

Xu Yang; Hongyan Xing; Xinyuan Ji; Zenghui Wang. 2021. "Smart Localization of Thunderstorm Charge for Human 4IR Applications." Mobile Information Systems 2021, no. : 1-15.

Research article
Published: 22 March 2021 in Journal of Sensors
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In order to obtain the position of thunderstorm cloud in real time and make it possible to track the thunderstorm cloud motion, a method is proposed for tracking the moving path of thunderstorm cloud, with the aid of the three-dimensional atmospheric electric field apparatus (AEFA). According to the method of images, we establish a spatial model for tracking the moving path. Based on the model, we define the dynamic parameters of thunderstorm cloud position. Subsequently, to realize the moving path tracking of thunderstorm cloud, its coordinates are associated with the time points. Besides, we use the relationship between electric field component measurement error, horizontal angle, elevation angle, and the tracking accuracy to analyze the tracking performance. Finally, a fusion system combining an electric field measurement unit, electric field calibration unit, and permittivity measurement unit is designed to meet the actual needs. The results show that the method can accurately track the thunderstorm cloud moving path and has a better effect. In addition, the method can also be combined with a radar map, thus better predicting the development of the thunderstorm cloud.

ACS Style

Xu Yang; Hongyan Xing; Wei Xu; Xinyuan Ji. A Moving Path Tracking Method of the Thunderstorm Cloud Based on the Three-Dimensional Atmospheric Electric Field Apparatus. Journal of Sensors 2021, 2021, 1 -13.

AMA Style

Xu Yang, Hongyan Xing, Wei Xu, Xinyuan Ji. A Moving Path Tracking Method of the Thunderstorm Cloud Based on the Three-Dimensional Atmospheric Electric Field Apparatus. Journal of Sensors. 2021; 2021 ():1-13.

Chicago/Turabian Style

Xu Yang; Hongyan Xing; Wei Xu; Xinyuan Ji. 2021. "A Moving Path Tracking Method of the Thunderstorm Cloud Based on the Three-Dimensional Atmospheric Electric Field Apparatus." Journal of Sensors 2021, no. : 1-13.

Journal article
Published: 13 January 2021 in IEEE Access
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The current thunderstorm monitoring methods ignore the nonlinear and non-stationary characteristics of atmospheric electric field signals, which has a negative effect on the monitoring results. Based on complementary ensemble empirical mode decomposition with adaptive noise and Savitzky-Golay filtering (CEEMDAN-SG), a point charge localization method for the thunderstorm cloud is proposed. After CEEMDAN is used to decompose the electric field signal into a series of intrinsic mode function (IMF) components, the signal is reconstructed after SG filtering of those noise-dominant components. Then, the reconstructed signal is used for point charge localization correction. By changing the signal samples, the decomposition order and SNR of CEEMDAN-SG, CEEMDAN, etc. are compared, and the performance of the method is analyzed. Experiments show that compared to the SNR before reconstruction, the SNR after reconstruction is improved by about 3%. At the same time, the results can match the radar chart well on the time scale. After using the CNN-LSTM network model, it is found that compared with the original signal, the amplitude of the absolute error of the reconstructed signal is larger, so that the signal characteristics can be more displayed. This once again proves the localization effects.

ACS Style

Xu Yang; Hongyan Xing; Ling Zhuang. A Thunderstorm Cloud Point Charge Localization Method Based on CEEMDAN and SG Filtering. IEEE Access 2021, 9, 17049 -17059.

AMA Style

Xu Yang, Hongyan Xing, Ling Zhuang. A Thunderstorm Cloud Point Charge Localization Method Based on CEEMDAN and SG Filtering. IEEE Access. 2021; 9 ():17049-17059.

Chicago/Turabian Style

Xu Yang; Hongyan Xing; Ling Zhuang. 2021. "A Thunderstorm Cloud Point Charge Localization Method Based on CEEMDAN and SG Filtering." IEEE Access 9, no. : 17049-17059.

Journal article
Published: 19 November 2020 in Digital Communications and Networks
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Data loss or distortion causes adverse effects on the accuracy and stability of the thunderstorm point charge localization. To solve this problem, we propose a data complementary method based on the atmospheric electric field apparatus array group. The electric field component measurement model of the atmospheric electric field apparatus is established, and the orientation parameters of the thunderstorm point charge are defined. Based on the mirror method, the thunderstorm point charge coordinates are obtained by using the potential distribution formulas. To test the validity of the basic algorithm, the electric field component measurement error and the localization accuracy are studied. Besides the azimuth angle and the elevation angle, the localization parameters also include the distance from the apparatus to the thunderstorm cloud. Based on a primary electric field apparatus, we establish the array group of apparatuses. Based on this, the data measured by each apparatus is complementarily processed to regain the thunderstorm point charge position. The results show that, compared with the radar map data, this method can accurately reflect the location of the thunderstorm point charge, and has a better localization effect. Additionally, several observation results during the thunderstorm weather have been presented.

ACS Style

Xu Yang; Hongyan Xing. A data complementary method for thunderstorm point charge localization based on atmospheric electric field apparatus array group. Digital Communications and Networks 2020, 7, 170 -177.

AMA Style

Xu Yang, Hongyan Xing. A data complementary method for thunderstorm point charge localization based on atmospheric electric field apparatus array group. Digital Communications and Networks. 2020; 7 (2):170-177.

Chicago/Turabian Style

Xu Yang; Hongyan Xing. 2020. "A data complementary method for thunderstorm point charge localization based on atmospheric electric field apparatus array group." Digital Communications and Networks 7, no. 2: 170-177.

Journal article
Published: 03 June 2020 in Electronics
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In this study, in order to study the effect of multi-pulse waveform parameters on the aging characteristics of ZnO varistor, the aging rate and surface temperature rise of ZnO varistor under the impact of multi-pulse current were analyzed. The number of pulses and the pulse interval under multiple pulses play a decisive role in the aging rate of ZnO varistor. The greater the number of pulses and the smaller the pulse interval, the higher the temperature rise of the ZnO varistor and the faster the aging rate, the more likely to be failure and damage. The surface temperature distribution of the ZnO varistor under multi-pulse is not uniform, and the more pulses, the more uneven the temperature distribution, but the surface temperature rise has a nonlinear relationship with the number of pulses. The relationship between pulse interval, impact times and average surface temperature rise is established. The aging mechanism of the ZnO varistor under a multi-pulse lightning stroke was revealed from the perspective of energy absorption and heat transfer modelling. The energy sustained by the ZnO varistor under multiple pulses have a nonlinear multiple relationship with the energy of the single pulse current wave at the same amplitude. The superimposed cumulative energy of the impact under multiple pulses accelerates the aging process of the ZnO varistor, and eventually produces an irreversible structural destruction.

ACS Style

Chunlong Zhang; Chunying Li; Dongbo Lv; Hao Zhu; Hongyan Xing. An Experimental Study on the Effect of Multiple Lightning Waveform Parameters on the Aging Characteristics of ZnO Varistors. Electronics 2020, 9, 930 .

AMA Style

Chunlong Zhang, Chunying Li, Dongbo Lv, Hao Zhu, Hongyan Xing. An Experimental Study on the Effect of Multiple Lightning Waveform Parameters on the Aging Characteristics of ZnO Varistors. Electronics. 2020; 9 (6):930.

Chicago/Turabian Style

Chunlong Zhang; Chunying Li; Dongbo Lv; Hao Zhu; Hongyan Xing. 2020. "An Experimental Study on the Effect of Multiple Lightning Waveform Parameters on the Aging Characteristics of ZnO Varistors." Electronics 9, no. 6: 930.

Journal article
Published: 21 May 2020 in Energies
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In view of the problem that ZnO varistors are often subjected to thermal breakdown and deterioration due to lightning strikes in low-voltage power distribution systems, this article used a 8/20 µs multi-pulse surge current with a pulse time interval of 50 ms to perform shock experiments on ZnO varistors. SEM scanning electron microscope and an XRD diffractometer were used to analyze the structure of the grain boundary layer and the change of the crystalline phase material of ZnO varistor under the action of a multi-pulse current. The damage mechanism of ZnO varistor under the multi-pulse current was studied at the micro level. The results show that the average impact life of different types of ZnO varistor is significantly different. It was found that the types of trace elements and grain size in the grain boundary layer will affect the ability of ZnO varistor to withstand multi-pulse current. As the number of impulses increases, the grain structure of the ZnO varistor continues to degenerate. The unevenness of internal ion migration and the nonuniformity of the micro-grain boundary layer cause the local energy density to be too large and cause the local temperature rise to be too high, which eventually causes the internal grain boundary to melt through, and the local high temperature may cause the Bi element in the ZnO varistor to change in different crystal phases.

ACS Style

Chunlong Zhang; Hongyan Xing; Chunying Li; Ran Cai; Dongbo Lv. Micro-Degradation Characteristics and Mechanism of ZnO Varistors under Multi-Pulse Lightning Strike. Energies 2020, 13, 2620 .

AMA Style

Chunlong Zhang, Hongyan Xing, Chunying Li, Ran Cai, Dongbo Lv. Micro-Degradation Characteristics and Mechanism of ZnO Varistors under Multi-Pulse Lightning Strike. Energies. 2020; 13 (10):2620.

Chicago/Turabian Style

Chunlong Zhang; Hongyan Xing; Chunying Li; Ran Cai; Dongbo Lv. 2020. "Micro-Degradation Characteristics and Mechanism of ZnO Varistors under Multi-Pulse Lightning Strike." Energies 13, no. 10: 2620.

Journal article
Published: 23 March 2020 in Complexity
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Change detection (CD) is essential for accurate understanding of land surface changes with multitemporal Earth observation data. Due to the great advantages in spatial information modeling, Morphological Attribute Profiles (MAPs) are becoming increasingly popular for improving the recognition ability in CD applications. However, most of the MAPs-based CD methods are implemented by setting the scale parameters of Attribute Profiles (APs) manually and ignoring the uncertainty of change information from different sources. To address these issues, a novel method for CD in high-resolution remote sensing (HRRS) images based on morphological attribute profiles and decision fusion is proposed in this study. By establishing the objective function based on the minimum of average interscale correlation, a morphological attribute profile with adaptive scale parameters (ASP-MAPs) is presented to exploit the spatial structure information. On this basis, a multifeature decision fusion framework based on the Dempster–Shafer (D-S) theory is constructed for obtaining the CD map. Experiments of multitemporal HRRS images from different sensors have shown that the proposed method outperforms the other advanced comparison CD methods, and the overall accuracy (OA) can reach more than 83.9%.

ACS Style

Chao Wang; Hui Liu; Yi Shen; Kaiguang Zhao; Hongyan Xing; Haotian Wu. High-Resolution Remote-Sensing Image-Change Detection Based on Morphological Attribute Profiles and Decision Fusion. Complexity 2020, 2020, 1 -17.

AMA Style

Chao Wang, Hui Liu, Yi Shen, Kaiguang Zhao, Hongyan Xing, Haotian Wu. High-Resolution Remote-Sensing Image-Change Detection Based on Morphological Attribute Profiles and Decision Fusion. Complexity. 2020; 2020 ():1-17.

Chicago/Turabian Style

Chao Wang; Hui Liu; Yi Shen; Kaiguang Zhao; Hongyan Xing; Haotian Wu. 2020. "High-Resolution Remote-Sensing Image-Change Detection Based on Morphological Attribute Profiles and Decision Fusion." Complexity 2020, no. : 1-17.

Journal article
Published: 01 March 2020 in Review of Scientific Instruments
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In this work, a fusion algorithm is proposed for improving the accuracy and stability of passive sound source localization. Different from the traditional algorithm that contains a single-plane cross array, here, the fusion algorithm is used to overcome the position blur in the process of localization. First, the two-plane four-element cross array model is established. Based on this model, the method is defined to judge the position where the sound source is located. According to the localization principle, we derive the calculation formula of the sound source position, based on a single four-element planar array. Then, the elevation angle sine value is introduced into the coordinate formula as the weighted coefficient by analyzing the indirect measurement error, and the fusion algorithm is employed to conduct the sound source localization, based on the two-plane four-element cross array. Finally, the relationships are obtained, between the time delay estimation error, the elevation angle, the horizontal angle, and the localization performance. Besides, the validity of this algorithm is validated by measuring the ranging and direction-finding accuracy. The results show that the distance error rate is within 2%, and the angle error rate is within 3%, which means a good localization effect. The proposed algorithm is expected to be widely used in thunderstorm cloud detection for its quick measurement and high precision.

ACS Style

Hongyan Xing; Xu Yang; Xinyuan Ji; Hui Wu. A fusion algorithm of passive sound source localization based on the two-plane four-element cross array. Review of Scientific Instruments 2020, 91, 034901 .

AMA Style

Hongyan Xing, Xu Yang, Xinyuan Ji, Hui Wu. A fusion algorithm of passive sound source localization based on the two-plane four-element cross array. Review of Scientific Instruments. 2020; 91 (3):034901.

Chicago/Turabian Style

Hongyan Xing; Xu Yang; Xinyuan Ji; Hui Wu. 2020. "A fusion algorithm of passive sound source localization based on the two-plane four-element cross array." Review of Scientific Instruments 91, no. 3: 034901.

Journal article
Published: 29 August 2019 in Sensors
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A novel adaptive morphological attribute profile under object boundary constraint (AMAP-OBC) method is proposed in this study for automatic building extraction from high-resolution remote sensing (HRRS) images. By investigating the associated attributes in morphological attribute profiles (MAPs), the proposed method establishes corresponding relationships between AMAP-OBC and building characteristics in HRRS images. In the preprocessing step, the candidate object set is extracted by a group of rules for screening of non-building objects. Second, based on the proposed adaptive scale parameter extraction and object boundary constraint strategies, AMAP-OBC is conducted to obtain the initial building set. Finally, a further identification strategy with adaptive threshold combination is proposed to obtain the final building extraction results. Through experiments of multiple groups of HRRS images from different sensors, the proposed method shows outstanding performance in terms of automatic building extraction from diverse geographic objects in urban scenes.

ACS Style

Chao Wang; Yi Shen; Hui Liu; Kaiguang Zhao; Hongyan Xing; Xing Qiu. Building Extraction from High-Resolution Remote Sensing Images by Adaptive Morphological Attribute Profile under Object Boundary Constraint. Sensors 2019, 19, 3737 .

AMA Style

Chao Wang, Yi Shen, Hui Liu, Kaiguang Zhao, Hongyan Xing, Xing Qiu. Building Extraction from High-Resolution Remote Sensing Images by Adaptive Morphological Attribute Profile under Object Boundary Constraint. Sensors. 2019; 19 (17):3737.

Chicago/Turabian Style

Chao Wang; Yi Shen; Hui Liu; Kaiguang Zhao; Hongyan Xing; Xing Qiu. 2019. "Building Extraction from High-Resolution Remote Sensing Images by Adaptive Morphological Attribute Profile under Object Boundary Constraint." Sensors 19, no. 17: 3737.

Journal article
Published: 13 June 2019 in Applied Sciences
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To reduce the negative effect on sound source localization when the source is at an extreme angle and improve localization precision and stability, a theoretical model of a three-plane five-element microphone array is established, using time-delay values to judge the sound source’s quadrant position. Corresponding judgment criteria were proposed, solving the problem in which a single-plane array easily blurs the measured position. Based on sound source geometric localization, a formula for the sound source azimuth calculation of a single-plane five-element microphone array was derived. The sinusoids and cosines of two elevation angles based on two single-plane arrays were introduced into the sound source spherical coordinates as composite weighted coefficients, and a sound source localization fusion algorithm based on a three-plane five-element microphone array was proposed. The relationship between the time-delay estimation error, elevation angle, horizontal angle, and microphone array localization performance was discussed, and the precision and stability of ranging and direction finding were analyzed. The results show that the measurement precision of the distance from the sound source to the array center and the horizontal angle are improved one to threefold, and the measurement precision of the elevation angle is improved one to twofold. Although there is a small error, the overall performance of the sound source localization is stable, reflecting the advantages of the fusion algorithm.

ACS Style

Hongyan Xing; Xu Yang. Sound Source Localization Fusion Algorithm and Performance Analysis of a Three-Plane Five-Element Microphone Array. Applied Sciences 2019, 9, 2417 .

AMA Style

Hongyan Xing, Xu Yang. Sound Source Localization Fusion Algorithm and Performance Analysis of a Three-Plane Five-Element Microphone Array. Applied Sciences. 2019; 9 (12):2417.

Chicago/Turabian Style

Hongyan Xing; Xu Yang. 2019. "Sound Source Localization Fusion Algorithm and Performance Analysis of a Three-Plane Five-Element Microphone Array." Applied Sciences 9, no. 12: 2417.

Original article
Published: 04 June 2019 in Journal of Electrical Engineering & Technology
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In order to accurately obtain the location of thunderstorm cloud and improve the accuracy and stability of thunderstorm cloud localization, a thunderstorm cloud localization algorithm of a three-dimensional atmospheric electric field apparatus is proposed. An electric field measurement model is established, and the localization parameters are defined based on the model. According to the theory of mirror method, the potential distribution of the thunderstorm cloud at the atmospheric electric field apparatus is obtained. Using the potential distribution formula, the three-dimensional electric field components are derived and the thunderstorm cloud coordinates are obtained. The relationship between the electric field component measurement error, the azimuth angle, the elevation angle and the ranging and direction-finding accuracy is given, and the localization performance is analyzed. The results show that the method has a ranging error rate of about 5% and a direction-finding error rate of about 3%, which has a good localization effect.

ACS Style

Hongyan Xing; Xu Yang; Jinyu Zhang. Thunderstorm Cloud Localization Algorithm and Performance Analysis of a Three-Dimensional Atmospheric Electric Field Apparatus. Journal of Electrical Engineering & Technology 2019, 14, 2487 -2495.

AMA Style

Hongyan Xing, Xu Yang, Jinyu Zhang. Thunderstorm Cloud Localization Algorithm and Performance Analysis of a Three-Dimensional Atmospheric Electric Field Apparatus. Journal of Electrical Engineering & Technology. 2019; 14 (6):2487-2495.

Chicago/Turabian Style

Hongyan Xing; Xu Yang; Jinyu Zhang. 2019. "Thunderstorm Cloud Localization Algorithm and Performance Analysis of a Three-Dimensional Atmospheric Electric Field Apparatus." Journal of Electrical Engineering & Technology 14, no. 6: 2487-2495.

Case report
Published: 03 May 2019 in Chaos: An Interdisciplinary Journal of Nonlinear Science
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When the offset boosting technique is introduced into a chaotic system for attractor shifting, the number of coexisting attractors in the system can be doubled under the application of the employed absolute-value function. Consequently, the offset booster becomes a doubling parameter determining the distance between the two coexisting attractors, and therefore can polymerize these attractors to become a pseudo-multi-scroll attractor. This paper demonstrates that the attractor doubling operation can be applied to any dimension of the system and can also be nested at any time leading to the geometric growth of the coexisting attractors. Furthermore, various regimes of coexistence can be merged and composed together to reproduce an integrated attractor in the system.

ACS Style

Chunbiao Li; Tianai Lu; Guanrong Chen; Hongyan Xing. Doubling the coexisting attractors. Chaos: An Interdisciplinary Journal of Nonlinear Science 2019, 29, 051102 .

AMA Style

Chunbiao Li, Tianai Lu, Guanrong Chen, Hongyan Xing. Doubling the coexisting attractors. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2019; 29 (5):051102.

Chicago/Turabian Style

Chunbiao Li; Tianai Lu; Guanrong Chen; Hongyan Xing. 2019. "Doubling the coexisting attractors." Chaos: An Interdisciplinary Journal of Nonlinear Science 29, no. 5: 051102.

Journal article
Published: 11 April 2019 in Electronics
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In addition to being sensitive to humidity, humidity sensors with moisture sensitive elements are also sensitive to ambient temperature. The fusion of temperature and humidity data is an effective way to improve the accuracy of humidity sensors. In view of the problem of insufficient adaptive ability and poor universality in the current compensation algorithm, a piecewise processing of measured error at different temperatures by using multiple linear regression is proposed in this paper. The least squares method and back propagation (BP) neural network improved by a genetic simulated annealing algorithm (GSA-BP) were used to compensate the measured humidity data of different temperature ranges. The efficiency of the GSA-BP algorithm was tested, and the compensation function model was established. The compensation accuracy was also compared with the accuracies obtained by other methods. The experimental results show that the adaptive segmentation compensation method can significantly improve the measured error of the humidity sensor over a wide temperature range.

ACS Style

Wei Xu; Xiaoyu Feng; Hongyan Xing; Xu; Feng; Xing. Modeling and Analysis of Adaptive Temperature Compensation for Humidity Sensors. Electronics 2019, 8, 425 .

AMA Style

Wei Xu, Xiaoyu Feng, Hongyan Xing, Xu, Feng, Xing. Modeling and Analysis of Adaptive Temperature Compensation for Humidity Sensors. Electronics. 2019; 8 (4):425.

Chicago/Turabian Style

Wei Xu; Xiaoyu Feng; Hongyan Xing; Xu; Feng; Xing. 2019. "Modeling and Analysis of Adaptive Temperature Compensation for Humidity Sensors." Electronics 8, no. 4: 425.

Journal article
Published: 02 February 2019 in Electronics
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In this study, in order to explore the failure mode of ZnO varistors under multiple lightning strokes, a five-pulse 8/20 μs nominal lightning current with pulse intervals of 50 ms was applied to ZnO varistors. Scanning electron microscopy (SEM) and X-ray diffractometry (XRD) were used to analyze the microstructure of the material. The failure processes of ZnO varistors caused by multiple lightning impulse currents were described. The performance changes of ZnO varistors after multiple lightning impulses were analyzed from both macro and micro perspectives. According to the results of this study’s experiments, the macroscopic failure mode of ZnO varistors after multiple lightning impulses involved the rapid deterioration of the electrical parameters with the increase of the number of impulse groups, until destruction occurred by side-corner cracking. The microstructural examination indicated that, after the multiple lightning strokes, the proportion of Bi in the crystal phases was altered, the grain size of the ZnO varistors became smaller, and the white intergranular phase (Bi-rich grain boundary layer) increased significantly. The failure mechanism was thermal damage and grain boundary structure damage caused by temperature gradient thermal stress, generated by multiple lightning currents.

ACS Style

Chunlong Zhang; Hongyan Xing; Pengfei Li; Chunying Li; Dongbo Lv; Shaojie Yang. An Experimental Study of the Failure Mode of ZnO Varistors Under Multiple Lightning Strokes. Electronics 2019, 8, 172 .

AMA Style

Chunlong Zhang, Hongyan Xing, Pengfei Li, Chunying Li, Dongbo Lv, Shaojie Yang. An Experimental Study of the Failure Mode of ZnO Varistors Under Multiple Lightning Strokes. Electronics. 2019; 8 (2):172.

Chicago/Turabian Style

Chunlong Zhang; Hongyan Xing; Pengfei Li; Chunying Li; Dongbo Lv; Shaojie Yang. 2019. "An Experimental Study of the Failure Mode of ZnO Varistors Under Multiple Lightning Strokes." Electronics 8, no. 2: 172.

Journal article
Published: 16 December 2018 in Applied Sciences
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The measurement of the atmospheric electric field is of great significance for the study of thunderstorm cloud charge models. Traditional electric field meters can only measure the vertical component of the atmospheric electric field, and thus it is difficult to invert the structure of the thunderstorm cloud. A three-dimensional atmospheric electric field meter was developed to simultaneously measure the horizontal and vertical components of the atmospheric electric field in this paper. The effective measurement linearly relates the measured electric field to the induced voltage, and the nonlinear equations of the three-dimensional atmospheric electric field and the thunderstorm cloud-charging model parameters were derived. The particle swarm optimization algorithm (PSO) and the three-dimensional atmospheric electric field were used to invert the thunderstorm clouds. Experimental observations of the three-dimensional electric field in a cloud during a thunderstorm were analyzed. Combined with the typical charged structure model, parameters such as the charge and relative distance of the thunderstorm cloud were determined. The results showed that the value of the inversion fitness function reached 0.7288, and the charge structure was even. The measurement of the three-dimensional atmospheric electric field provides a new means of observation for the study of atmospheric electricity.

ACS Style

Wei Xu; Cancan Zhang; Xinyuan Ji; Hongyan Xing. Inversion of a Thunderstorm Cloud Charging Model Based on a 3D Atmospheric Electric Field. Applied Sciences 2018, 8, 2642 .

AMA Style

Wei Xu, Cancan Zhang, Xinyuan Ji, Hongyan Xing. Inversion of a Thunderstorm Cloud Charging Model Based on a 3D Atmospheric Electric Field. Applied Sciences. 2018; 8 (12):2642.

Chicago/Turabian Style

Wei Xu; Cancan Zhang; Xinyuan Ji; Hongyan Xing. 2018. "Inversion of a Thunderstorm Cloud Charging Model Based on a 3D Atmospheric Electric Field." Applied Sciences 8, no. 12: 2642.