最新刊期
卷 49 ， 期 6 ， 2021
- Vol. 49, Issue 6, Pages: 1041-1049(2021) DOI: 10.12263/DZXB.20201144摘要：In order to mitigate the difficulty of balancing diversity and convergence in heuristic algorithm, this paper proposes an IF-memetic hybrid double particle swarm optimization (IFMHDPSO) based on intuitionistic fuzzy memetic framework and multi-attribute decision. There are two independent exploration and exploitation populations employing distributed strategies in which social reinforcement operator and collision rebound operator are proposed to improve diversity of algorithm and explore new areas in populations of exploration. Moreover, an intuitionistic fuzzy multi-attribute decision making is built up for comprehensively evaluating the solution space to get the potential global optimal solution area, which can guide the PSO (Particle Swarm Optimization) with Lamarckian mechanism to carry out the local search to achieve cooperation between populations under different strategies and reasonable allocation of computational resources. Compared with other 5 new evolutionary algorithms, IFMHDPSO is of better comprehensive optimization in 23 benchmark function test results.关键词：particle swarm optimization;memetic framework;intuitionistic fuzzy multi-attribute decision making;distributed cooperation;Lamarckian learning4|4|1更新时间：2025-12-08
摘要：The development of nano-biosensors and terahertz technology can meet the requirements of high-speed and reliable transmission of lung medical data to telemedicine institutions. Therefore, intra-body terahertz nanosensor network has great application prospects in remote lung health monitoring. Considering the limited energy of the nanonodes and the strict latency requirements for data transmission, a low-delay low-energy consumption (LDLE) topology model is proposed. The model aims at minimizing the total network delay and energy consumption, and transforms the topology design problem into a mixed integer nonlinear programming model solution problem and solves the optimal goal. The result shows that the mesh network topology has low network delay,high throughput and long network lifetime, which can meet the requirements of low energy consumption and low delay of lung terahertz nanosensor network.
关键词：intra-body wireless nanosensor network;low-delay;low-energy;topological structure
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更新时间：2025-12-08
摘要：At present, most of the researches on news classification are in English, and the traditional machine learning methods have a problem of incomplete extraction of local text block features in long text processing. In order to solve the problem of lack of special term set for Chinese news classification, a vocabulary suitable for Chinese text classification is made by constructing a data index method, and the text feature construction is combined with word2vec pre-trained word vector. In order to solve the problem of incomplete feature extraction, the effects of different convolution and pooling operations on the classification results are studied by improving the structure of classical convolution neural network model. In order to improve the precision of Chinese news text classification, this paper proposes and implements a combined-convolution neural network model, and designs an effective method of model regularization and optimization. The experimental results show that the precision of the combined-convolutional neural network model for Chinese news text classification reaches 93.69%, which is 6.34% and 1.19% higher than the best traditional machine learning method and classic convolutional neural network model, and it is better than the comparison model in recall and F-measure.
关键词：natural language processing;word vector;combined-convolutional neural network;Chinese news;text classification
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更新时间：2025-12-08
摘要：Aiming at the problem of butterfly optimization algorithm, this paper proposes a butterfly optimization algorithm which fuses the differential mutation strategy and adaptively adjusts the weight according to the evolutionary algebra. The nonlinear inertial weight is introduced in the global search stage to improve the update equation of butterfly position, the search range and granularity of the algorithm in different evolution periods are adjusted adaptively, and the convergence speed and optimization accuracy of the algorithm are improved. The global equation is further improved by adding F distribution global adaptive random mutation to improve the global search ergodicity of the algorithm, and prevent the occurrence of low precision precocious phenomenon. The bidirectional differential mutation strategy with decision coefficient and disturbance factor is integrated in the local search stage, which makes the exploration of butterfly individuals more directional without derogating the diversity of the population, which is beneficial to the algorithm to get rid of the local extremum points and speed up the convergence speed. The theoretical analysis proves that the time complexity of the improved algorithm is consistent with the basic butterfly optimization algorithm. The multi-dimensional test results of six representative contrast algorithms on benchmark functions of CEC 2017 show that the optimization accuracy and convergence speed of the improved algorithm is obviously better than those of other contrast algorithms in solving the optimization problem of high-dimensional complex functions, and the change of dimensions have less impact on the performance of the algorithm, and the optimization performance is better and more stable.
关键词：butterfly optimization algorithm;high-dimensional complex function;difference mutation;non-linearity inertia weight;disturbance factor
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更新时间：2025-12-08
摘要：In order to solve the problem of low efficiency in traditional serial clustering integration algorithm in processing high-dimensional massive data, we propose a parallel clustering integration algorithm named SCEA (Spark based Clustering Ensemble Algorithm) which is based on spark platform. The input data of the SCEA algorithm is preprocessed by the combination of principal component analysis and pairwise constraints, which can reduce the dimension of the data and remove the feature correlation. After obtaining the base clustering results using different clustering algorithms, similarity matrix is constructed by the cluster labels of the base cluster members based on the triple method, and the hierarchical clustering algorithm is used to get the final clustering results. On the basis of calling the existing clustering algorithm in the spark MLlib, the SCEA algorithm is implemented based on Scala language. The SCEA is compared with other similar algorithms in multiple data sets. The experimental results show that SCEA is not only improved in accuracy than existing algorithms, but also proves the superiority of SCEA in algorithm performance by analyzing three performance indexes: running time, speedup ratio and scalability.
关键词：parallel clustering;data dimensionality reduction;clustering integration;spark clustering;performance optimization
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更新时间：2025-12-08
Vol. 49, Issue 6, Pages: 1088-1093(2021) DOI: 10.12263/DZXB.20200312
摘要：Considering that the localization accuracy of the traditional magnetic gradient tensor method is easily affected by the swaying of the moving carrier platform, we propose an improved localization method based on the eigenvalue invariant of the magnetic gradient tensor. The proposed method can overcome the effects on the location accuracy caused by the swaying of the carrier platform, and the factors which would affect the localization performance are analyzed as well. Compared with the third-order tensor localization method and the multi-point linear localization method, the cost of the proposed method is that a rising or diving action of the AUV (Autonomous Underwater Vehicle) platform is needed. The simulation results show that the localization accuracy of the proposed method is close to that of Euler localization method when no environmental magnetic interference and no swaying of the platform exist.However, the localization performance of Euler method would deteriorate rapidly when some environmental magnetic interference exists. Compared with the third-order tensor localization algorithm and the multi-point linear localization algorithm, the performance of the proposed method is better, regardless of the magnetic interference or the swaying magnitude. The maximum localization error of the proposed method is no more than 15m, despite the swaying of the moving platform is increased to 10°.
关键词：electromagnetics;swaying carrier platform;localization of magnetic target;magnetic gradient tensor;eigenvalue invariant
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更新时间：2025-12-08
摘要：Aiming at the technical requirements of the complex electromagnetic environment adaptability test and evaluation for the spectrum-dependent equipment, starting from the linear coupling of field with circuit and the nonlinear response mechanism of circuit, the third-order intermodulation blocking effect model is established by introducing the third-order intermodulation blocking interference factor. Combining theoretical derivation and experimental measurement, the method of determining model parameters and the process of modeling and evaluation of third-order intermodulation blocking effect are given, and the experimental verification is carried out using the communication radio as the equipment under test. The results show that, using the third-order intermodulation blocking interference factor of the spectrum-dependent equipment tested at a specific working frequency, assuming that it does not change with the frequency offset of the radiated interference, according to the variation curve of the critical interference field strength of the single frequency electromagnetic radiation blocking for the spectrum-dependent equipment and the distribution parameters of environmental electromagnetic field spectrum, the third-order intermodulation blocking effect of the spectrum-dependent equipment can be accurately evaluated, and the tested error is less than 1dB.
关键词：third-order intermodulation;blocking effect;electromagnetic radiation;modeling evaluation;multifrequency interference;spectrum-dependent equipment
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更新时间：2025-12-08
摘要：In the multibeam satellite downlink, the realization of high data rate and low power consumption restrict each other, which is one of the important factors that affect the communication performance of the multibeam satellite system. The two-stage multibeam satellite downlink multi-objective power allocation method is proposed. The multibeam satellite downlink power allocation model is built. In the first stage, a convex optimization algorithm is used to achieve downlink data rate matching, and the data rate matching solution is employed as the initial solution of heuristic algorithm in the second stage. The optimized performance is represented by the obtained Pareto solution, which provides a balance for the link data rate and power consumption. The numerical results show that under the same data rate, two-stage optimization method reduces link power consumption by 17.6% and the propose method converges fast.
关键词：power allocation;multi-beam satellite;data rate matching;heuristic algorithm;convex optimization;Pareto frontier;multi-objective optimization
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更新时间：2025-12-08
Vol. 49, Issue 6, Pages: 1108-1116(2021) DOI: 10.12263/DZXB.20200478
摘要：In order to overcome the shortcomings of high computational complexity and low fault tolerance of the existing algorithms for recognition of convolutional codes, a fast convolutional code identification method based on iterative elimination is proposed.Firstly, the proposed algorithm analyzed the performance of the traditional Gauss elimination method, and the minimum number of iterations was given to ensure the presence of check vectors. Secondly, by traversing the possible minimum constraint length and convolutional code rate, the elimination matrix was constructed, and as a result, the suspected check vectors were obtained. Finally, we set the decision threshold based on the minimum error decision criterion, which realized fast identification of check polynomial matrix at high bit error rate. The simulation results show that the theoretical performance is consistent with the simulation results, and the proposed algorithm has strong fault-tolerant performance. Compared with the existing algorithms, the proposed algorithm has advantages in computational efficiency, and it has a good prospect in application of intelligent communication or communication reconnaissance.
关键词：intelligent communication;convolutional code;iterative elimination;minimum error decision criterion;hard decision;blind recognition
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更新时间：2025-12-08
摘要：In order to make up for the gap of the existing research in the defense of unknown SDN (Software-Defined Networking) vulnerabilities, this paper proposes an SDN endogenous security control plane based on multi-dimensional heterogeneous features and feedback-aware scheduling strategy. This scheme effectively increases the spatiotemporal uncertainty of the execution body in the SDN control plane (reversing the asymmetry between attack and defense) by combining a redundant set construction strategy, a multi-dimensional heterogeneous element coloring strategy, and a dynamic feedback-aware scheduling strategy. The related simulation results show that the scheme can converge the number of executive bodies, increase the multi-dimensional heterogeneity index and reduce the global failure rate of the system.
关键词：SDN control plane endogenous security;unknown vulnerabilities;hijacking attack;redundant set construction;multi-dimensional heterogeneous features;feedback-aware scheduling
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更新时间：2025-12-08
摘要：The length of the conventional polar code is limited to the power of two due to its basic construction principle, which may not guarantee the flexibility requirement of the coding parameters for the channel situations and system resources. Puncturing, shortening and repetition are three main techniques to overcome this problem. A new puncturing algorithm based on hierarchical permutation structure is presented, which can conveniently construct the rate-compatible punctured polar (RCPP) with flexible lengths and rates. For the presented algorithm, the punctured-bit number is well designed while performing the layer-by-layer splitting operation, and thus the resulting puncture pattern has the uniform or quasi-uniform puncturing (QUP) distribution. Simulation results show that, the presented algorithm can achieve about 0.3dB and 0.15dB performance gains at a BLER of 1e-5 compared to the random puncturing algorithm and the conventional QUP algorithm,respectively. Furthermore, the presented algorithm has more available puncture patterns, which may result in more practical RCPP codes.
关键词：polar codes;rate-compatible;QUP;puncture pattern
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更新时间：2025-12-08
Vol. 49, Issue 6, Pages: 1132-1141(2021) DOI: 10.12263/DZXB.20200157
摘要：Question understanding is one of the important tasks of question answering over knowledge graph, where semantic parsing is the mainstream approach for understanding question utterance. The most significant challenge in this task is to understand the implicit entities, relations and the utterances of complex constraints such as time, ordinal, and aggregation in the question with the context of knowledge graph. In this paper, we propose graph-to-segment, a semantic segments based semantic parsing framework for question answering over knowledge graph. Our semantic parsing model integrates both rule-based and neural-based approaches to parse the semantic segment sequences and constructs the semantic query graphs with high accuracy and coverage. These semantic segment-based semantic query graphs, which consist of the semantic segments, are used to represent the utterance of questions. Question semantic parsing is modeled as a sequence generation task, where an encoder-decoder neural network is used to generate the semantic segments from natural language questions. Additionally, with the context information of knowledge graph, a graph neural network is used to learn the representation of questions to improve the effect of semantic parsing on implicit entities or relations. Experimental results show that our model achieves good performance on the two datasets.
关键词：knowledge graph;question answering;semantic parser
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更新时间：2025-12-08
摘要：The multi-antenna eavesdropper scenario based on a mixed-precision analog-to-digital converter massive MIMO (Multiple Input Multiple Output) relay system is studied, where the relay amplifies and forwards the received signal. Using maximum ratio to combine the received signals at the base station, the expressions of spectral efficiency of legitimate users and eavesdroppers are derived, and the expression of secrecy spectral efficiency of the system is obtained. Based on the definition of energy efficiency, a power consumption model is established. The expression of secrecy energy efficiency is derived. And the tradeoff between the secrecy spectral efficiency and the secrecy energy efficiency is analyzed. It further reveals the influence of parameters such as the number of base station antennas and the number of ADC (Analog-to-Digital Converter) quantization bits on the physical layer security performance. The simulation results show that as the number of eavesdropper antennas increases and eavesdropping energy increases, the secrecy spectral efficiency will decrease. When the number of ADC quantization bits is 4, it can also obtain a higher secrecy energy efficiency, while ensuring the secrecy spectral efficiency.
关键词：massive MIMO;mixed-ADC;amplify forward;secrecy spectral efficiency;secrecy energy efficiency
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更新时间：2025-12-08
摘要：Decentralized storage with high availability and security has the problem of high repair bandwidth due to the same parameter low rate Reed-Solomon codes. Thus, a low repair bandwidth DHitchhiker based on credibility is proposed. Data nodes and some parity nodes in the first sub-stripe of Hitchhiker are piggybacked on the second sub-stripe of the remaining parity nodes. We classify the nodes, and let thehigh-credit nodes store the remaining parity nodes, the low-credit nodes store the data nodes and some parity nodes, and different types of nodes adopt different repair strategies. It is proved that the repair bandwidth can be reduced by about 25% at repairing low-credit nodes. And the repair bandwidth can be reduced by about 0.5% without classifying the nodes. What's more, the repair bandwidth can also be reduced by about 1% and the repair time can be reduced by about 2.5%~3.3% based on the credibility of the nodes.
关键词：MDS codes;Reed-Solomon codes;credibility;decentralized storage;hitchhiker
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更新时间：2025-12-08
摘要：The present direction of arrival (DOA) estimation methods in impulsive noise environment are mostly based on the fractional lower order statistics, which has huge computational complexity and poor performance at strong impulsive noise. By researching and analyzing the distribution of the impulsive noise, we propose a method based on the median value filtering utilizing the low probability and randomness of the impulse. And we present the Cramer-Rao bound (CRB) of angle estimation in the impulsive noise. The median value filtering method is applied to the array received data to eliminate the impulse noise, and the improved method is derived for DOA estimation in strong impulsive noise. Then, the common second-order moment method can be exploited to estimate the DOAs. Theoretical analysis and simulation results show that the proposed method has small computational load as well as excellent performance, and can improve the estimation performance at low signal to noise ratio and strong impulsive noise remarkably.
关键词：direction of arrival estimation;impulsive noise;median value filtering preprocessing;fractional lower order statistics
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更新时间：2025-12-08
摘要：Borehole geo-electric resistivity observation is an effective method to reduce or eliminate the earth's surface interference and as a result to improve the accuracy of observed data. It has been developed rapidly in our homeland in recent years. However, there are some key technical issues that need to be solved.Among them, the long-term stability of the configuration system is an important issue. The most important factor affecting the stability is the insulation performance of outdoor wire-line. This wire-line is often buried in a borehole deeper than 100 meters. Its insulation performance might deteriorated in a long-term observation, which thus may cause a wrong measured resistivity. Based on theoretical analysis and numerical calculation, we study quantitatively the influence of the insulation performance of outdoor wire-line, and then put forward the technical requirements. It might be a technical reference for the design, construction and operation of borehole geo-electric resistivity observation system at a station.
关键词：borehole geoelectric resistivity observation;outdoor wireline;insulation;leakage;grounding resistivity
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更新时间：2025-12-08
摘要：To improve the locating accuracy for wireless sensor networks (WSN) in the mixed propagation environment of non-line-of-sight (NLOS) and line-of-sight (LOS) during passive localization,an algorithm named residual test based on arc-edged convex hull (RTAC) is proposed. RTAC algorithm uses the distribution characteristics of ranging residuals of sensors to construct an offset circle model reflecting the distribution of residual points in the polar coordinate system, and uses the minimal arc-edged convex hull to group and identify the sensors in order to realize the LOS sensor identification in the network. The simulation results demonstrate that RTAC algorithm can realize the correct identification of LOS sensors under a lower computational complexity, and can obtain better location performance. RTAC algorithm is an efficient algorithm for LOS sensor identification in mixed propagation environment.
关键词：wireless sensor networks (WSN);passive localization;mixed propagation environment;ranging residuals;offset circle;arc-edged convex hull
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更新时间：2025-12-08
摘要：The curvature filtering algorithm optimizes the variational model quickly by constructing a filter operator, but the total variational curvature filtering and Gaussian curvature filtering are easy to cause over smooth denoising with poor salt and pepper noise removal. A weighted curvature filtering algorithm based on image median gray similarity function is proposed, in which the variance of the median gray similarity function depends on the highest frequency subband coefficient of wavelet transform, which can prevent the image from being too smooth and improve the ability of removing salt and pepper noise. Therefore, the local Gaussian curvature projection operator and the local total variational curvature projection operator are weighted by the median gray level similarity function, and the local weighted Gaussian curvature projection operator and the local weighted total variational curvature projection operator are iterated respectively until the total energy of the output image gradient meets the stop condition. Experimental results show that the denoising effect of weighted total variation curvature filter and weighted Gaussian curvature filter based on image median gray similarity function is better than the traditional total variation curvature filter and Gaussian curvature filter.
关键词：weighted total variational curvature filter;weighted Gaussian curvature filter;median gray similarity function;wavelet transform;salt and pepper noise
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更新时间：2025-12-08
Vol. 49, Issue 6, Pages: 1195-1203(2021) DOI: 10.12263/DZXB.20200618
摘要：Due to its great learning ability and fast processing speed, deep learning-based image compressive sensing (ICS) methods attract a lot of attention in recent years. However, the design of most existing ICS neural networks architecture ignore the mathematical theory in iterative optimization-based methods and cannot effectively use the prior structure knowledge in the signal, leading to lack of the interpretability. In order to retain the core ideas of the optimization algorithm and utilize the high performance of deep learning, this paper uses learnable convolutional layers to replace the predefined filters and artificial design parameters in the traditional smooth projected Landweber algorithm (SPL), and proposes a ICS neural network named SPLNet. In SPLNet, we design a unique network structure SPLBlock to implement three key steps in SPL iteration: (1) Wiener filter for removal of blocking artifacts; (2) approximation with projection onto the convex set; (3) bivariate shrinkage on transform domain for sparse representation and denoising. Experimental results indicate that, compared with current state-of-the-art ICS optimization iterative algorithm GSR, the average reconstructed image PSNR of SPLNet are improved by 0.78dB, and compared with state-of-the-art neural network framework SCSNet, the average reconstructed image PSNR of SPLNet are improved by 0.92dB.
关键词：compressive sensing;image compressive sensing;deep networks;convolutional neural networks;image sampling;image reconstruction
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更新时间：2025-12-08
摘要：A band-pass frequency selective surface (FSS) design based on additive processing is presented.The traditional FSS is usually processed by PCB (Printed Circuit Board) technology, which is difficult to be compatible with large-area flexible coverage. To this end, this paper proposes an additive processing method based on screen printing and electroplating to realize the processing of the band-pass FSS, and is verified by a design of band-pass FSS with spiral windmill-shaped slot structure. The design and experiment show that the realized band-pass FSS provides a pass-band of 6~8GHz in the C-band, and the minimum insertion loss is about 2.48 dB. The FSS exhibits good mechanical flexibility, and exhibits stable frequency selection characteristics under incident waves with a wide angle of 0~60°and different polarization conditions. This wide angle and polarization stability are indispensable in the application of flexible FSS under conformal coverage conditions. Compared with the traditional PCB process, the band-pass FSS based on additive process proposed not only has low cost and high processing efficiency, but also has the advantages of flexible conformal, polarization and wide-angle stability. It is expected to meet the need for flexible coverage/conformal electromagnetic compatibility and protection.
关键词：flexible FSS (Frequency Selective Surface);additive patterning;wide-angle stability;electromagnetic compatibility
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更新时间：2025-12-08
摘要：With the growing scale and complexity of VLSI (Very Large Scale Integrated) chip designs, the FPGA (Field Programmable Gate Array) detailed routing process generally meets the congestion or unroutable problems during the FPGA implementation or prototype verification. The unsatisfiable subformulas can quickly diagnose the FPGA unroutable root cause, and accurately localize the critical nets. In order to accelerate the FPGA routing process, we have proposed a heuristic local search algorithm based on resolution refutation, to derive the unsatisfiable subformulas from the Boolean formulas. On the typical FPGA routing benchmarks, the local search algorithm has been compared to the two optimal minimum unsatisfiable subformula extraction algorithms. The experimental results show that the local search algorithm strongly outperforms the branch-bound algorithm and the greedy generic algorithm, and it also obtains the minimum unsatisfiable subformula. Furthermore, the unsatisfiable subformula plays an important role in FPGA routing, and it can improve the efficiency of design and verification of the VLSI chips.
关键词：FPGA routing;routing constraint;Boolean satisfiability;unsatisfiable subformula;local search;resolution refutation
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更新时间：2025-12-08
摘要：As the most obvious feature of electrocardiogram (ECG), R wave is often used as an important basis to determine other bands of ECG. Aiming at the low recognition rate of existing algorithms, an R-wave recognition algorithm based on empirical wavelet transform and signal structure characteristics is proposed. Firstly, the empirical wavelet transform is used to adaptively segment the spectrum of ECG signal, and the appropriate wavelet filter banks are constructed in the segmentation interval to extract the tightly supported modal components. Then, the spectrum of each extracted modal component is analyzed to find out the corresponding high frequency component of R wave and analyze its structure, so as to realize the accurate positioning of R wave. The simulation results show that the sensitivity, accuracy and positive rate of the proposed algorithm for R-wave recognition of ECG signal are 99.93%, 99.92% and 99.99% respectively, aand the algorithm takes only 0.68s with a good recognition effect for R-wave.
关键词：electrocardiogram (ECG);R-wave recognition;empirical wavelet transform (EWT);structural feature extraction
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更新时间：2025-12-08
Vol. 49, Issue 6, Pages: 1224-1227(2021) DOI: 10.12263/DZXB.20190910
摘要：In order to optimize the performance of three-phase inverter, a high efficiency three-phase resonant inverter is proposed. When the auxiliary resonant circuit on each phase leg works in the commutation process of the inverter, the voltage across the capacitor parallel with the main switch can periodically change to zero, so that the main switch device can achieve zero-voltage soft switching, and the switching devices in the auxiliary resonant circuit can achieve zero-voltage turn-on and zero-current turn-off. Soft switching can reduce switching loss and improve the efficiency of the inverter. In this paper, the working flow of the circuit is analyzed. The experimental results on the 3kW prototype show that both the main switch and the auxiliary switch achieve soft switching. Therefore, this topology structure has reference for the research and development of high performance three-phase inverter.
关键词：inverter;bridge arm;auxiliary circuit;resonance;high efficiency;soft-switching
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更新时间：2025-12-08
摘要：MEMS/NEMS (Micro/Nano Electro-Mechanical Systems) technology, as a mature microstructure manufacturing technology, can realize the mass production and integration of silicon-based nano-scale sensor devices. Moreover, it's easy to achieve small, light, and high performance miniature sensor and its test system. Biosensing technology can transform biological reaction signals into photoelectric signals. Compared with other biosensors, MEMS/NEMS-based biosensors have higher sensitivity, shorter response time, and stronger detection performance, which provide powerful support for automated high-throughput medical diagnosis. This paper focuses on the common device types of MEMS/NEMS-based biosensors and their manufacturing technology, materials, sensing mechanism, classification, and sensing limitation. By reviewing MEMS/NEMS biosensors and their research progress, the key technical difficulties and priorities of MEMS/NEMS biosensor are summarized. Finally, we discuss the future development prospects and existing challenges of MEMS/NEMS-based biological sensing technology.
关键词：MEMS/NEMS (Micro/Nano Electro-Mechanical Systems) technology;biosensing technology;devices;sensing mechanism;technical difficulties
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更新时间：2025-12-08
摘要：Due to the large size, environmental pollution and requirement of periodically replacement, the classic batteries are no longer suitable for field work nowadays. Micro-wind energy harvesting by vortex-induced vibration can harvest the wind energy, and power the micro electric equipment such as wireless sensor nodes. Derived from the Buck-Boost circuit, a new energy interface circuit is designed for the micro-wind energy harvesting device. After theoretical analysis and simulation, there is an optimal duty cycle in the proposed circuit, which corresponds to the maximum output power. A control algorithm is developed with LabVIEW platform. Experimental results show that the proposed circuit and control algorithm can achieve the optimal duty circle, and keep the micro-wind energy harvesting outputs at its maximum power.
关键词：piezoelectric ceramics;wind energy harvesting;interface circuit;vortex-induced vibration;micro power generation;maximum power point
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更新时间：2025-12-08
摘要：To measure the insect body size parameters for Ku-band entomological radar, based on the insect data measured by a fully polarimetric measurement rig, the RCS (Radar Cross-Secion) characteristic of insects in Ku-band is studied. It is found that the scattering of the large insects is in the resonance region. Thus, the body size parameters of the large insect cannot be estimated from the RCS. To ensure the accuracy of body size measurement, it is necessary to identify and get rid of large insects. For this reason, a large insect discrimination method based on the relative phase of scattering eigenvalues and one of the RCS parameters is proposed. The relationships between insect body length and mass and RCS parameters for the middle and small insects are analyzed. It is found that all parameters can be well used for estimating the insect body length and mass, and the empirical formulas for insect body length and mass estimation are obtained.
关键词：Ku-band;fully polarimetric entomological radar;large insect discrimination;body size estimation
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