最新刊期
卷 50 ， 期 3 ， 2022
- 摘要：A multiple false targets deception jamming suppression method based on the optimization design of the element-pulse coding multiple-input multiple-output(EPC-MIMO) waveform is proposed. EPC can change the energy distribution of false targets in the transmitting frequency domain but not affect the true target. Using this feature, this paper optimizes the EPC-MIMO waveform with the objective function of minimizing the spatial correlation between the real and false targets. It can distribute the jamming energy outside the target airspace detection area. And then false targets can be effectively suppressed at the receiving end by digital beam forming. At the same time, since this method is realized under the condition of jamming cognition, this paper also proposes a fast jamming cognition method based on EPC-MIMO waveform to form a waveform design-jamming cognition closed-loop system. Simulation experiments verify the effectiveness of the proposed methods.关键词：radar anti-jamming;cognitive radar;multiple-input multiple-output radar;waveform design;phase coding;element-pulse coding;mainlobe deception jamming;digital beam forming6|10|3更新时间：2025-12-11
- 摘要：The PMF-FFT(Partial Matched Filters-Fast Fourier Transform) algorithm has excellent synchronization performance and a short search step size is required to ensure its performance. In satellite communications, it is difficult to use such an algorithm for long time signal detection with limited power and processing ablities. In this paper, an energy detection algorithm based on double pattern with frequency hopping and code hopping spread spectrum is proposed, which can search with the symbol period as the step. We analyze the synchronization performance of this method, and determine the best parameters and perform Monte Carlo simulation. By comparing performance and complexity of this algorithm with some other algorithms, it is proved that when this algorithm is used as the coarse synchronization and the PMF-FFT algorithm is used as the fine synchronization to form the synchronization mechanism, the complexity can be reduce greatly and the synchronization performance of the PMF-FFT algorithm can be maintained good.关键词：double pattern;energy detection;coarse synchronization;low complexity3|11|3更新时间：2025-12-11
- 摘要：The linear sparse feature extraction method used in the classical broad learning system(BLS) is difficult to extract the complex nonlinear features of data effectively. In addition, when the number of labeled samples is small, the generalization ability of BLS cannot be guaranteed. To solve these problems, a novel autoencoder and hypergraph-based semi-supervised BLS(AH-SBLS) is proposed. The main steps of AH-SBLS are described as follows. Firstly, we use all labeled and unlabeled samples to train the autoencoder, and then the trained autoencoder is used to extract the features of input data automatically. Secondly, the extracted features are viewed as the feature nodes of AH-SBLS and are further broadened. In the third step, a semi-supervised hypergraph is constructed to express the high-order manifold relationship between labeled and unlabeled samples, and the hypergraph regularization term is introduced into the objective function of AH-SBLS. Finally, the objective function of AH-SBLS is solved by ridge regression and thus the labels of unlabeled samples can be predicted. Experimental results of image classification show that AH-SBLS can achieve higher classification accuracy in semi-supervised classification tasks.关键词：semi-supervised;broad learning system;autoencoder;hypergraph;image classification2|8|2更新时间：2025-12-11
- 摘要：Network dismantling aims to find the minimal set of nodes or edges that, if removed, will break the network into small components and the scale of the giant connected component shall not exceed the pre-defined threshold. Traditional node-deleting based methods ignore the cost of deletion. In fact, when we delete a node, the corresponding edges linked to this node should also be deleted. The cost is different. Although traditional edge-deleting based methods take the cost into consideration, performance and efficiency need to be further improved. This paper proposes an edge-deleting based network dismantling algorithm, which contains two stages: community detection and inverse reinsertion of edges. In the first stage, the whole network is divided into different communities by using community detection algorithm and then edges between communities are removed to destroy the connectivity of communities. In the second stage, the strategy of inverse reinsertion of edges is used to destroy the connectivity within each community. Thus, we can dismantle the whole network into pieces. Experiment results on real-world and artificial networks show that, on one hand, our proposed method can dismantle networks by removing a smaller set of edges than that of other state-of-the-art methods. On the other hand, our proposed method exhibits stable performance with the variation of network scale, network structure and the threshold of network dismantling.关键词：social network;network dismantling;deletion cost;community detection;inverse reinsertion of edge;network connectivty2|11|0更新时间：2025-12-11
- 摘要：Aiming at the problems of many inflection points, long time consuming and complex recursive calculation in the global path planning algorithms currently used for mobile robots, an improved global path search algorithm based on ray model is proposed. Morphological filtering is used to process the raster map of obstacles, and collision estimation is introduced to increase the generation value of the raster near the obstacles, and the gradient cost raster map is formed. Combined with the ray model, ray search is carried out from the beginning to the end, and the path is optimized by the inverse optimization algorithm during the search process. Experiments show that the global path planning algorithm has better smoothness, flexibility， and stability. Our algorithm not only has shorter moving distance, but also has 50% faster search speed than A* algorithm. The mobile robot can move to the target point in a safer and simpler path.关键词：global path planning;ray model;reverse optimization;mobile robot;improved A* algorithm2|9|1更新时间：2025-12-11
- 摘要：Aiming at the problem of multi-channel undetermined blind source separation of electromagnetic radiation from ship equipment in complex electromagnetic environment, a method wavelet independent component analysis(WICA) of multi-channel blind electromagnetic radiation field synchronous separation based on wavelet decomposition(WD), correlation screening and independent component analysis(ICA) is proposed. In this method, wavelet decomposition is used to construct a virtual channel, then effective components are screened through correlation, and finally ICA is used to obtain the electromagnetic radiation source signal of the equipment. In this paper, the cross correlation coefficient(CRC) and coherence are used as measurement indexes of real ship test data, and the effectiveness of WICA algorithm in practical application is verified by comparing ensemble empirical mode decomposition-independent component analysis(EEMD-ICA) algorithm. This method can be extended to the field test of complex electromagnetic environment of system-level platforms in the fields of aerospace and national defense, and has high practical value.关键词：system electromagnetic radiation testing;independent component analysis;undetermined blind source separation;wavelet transform;electromagnetic environment9|8|1更新时间：2025-12-11
- 摘要：In order to provide edge computing services for users in remote regions, the computation offloading and resource allocation problem for collaborative low-earth orbit (LEO) satellite multi-access edge computing (MEC) with the aid of inter-satellite link (ISL) is investigated. By applying the partial offloading scheme, the optimization problem is formulated to minimize the weighted sum energy consumption of ground users, and a computation offloading and resource allocation algorithm for LEO satellite collaborative MEC is proposed. Due to the non-convexity of the formulated problem, it is decoupled into computation offloading and resource allocation subproblems, and then solved by standard convex optimization and Lagrangian dual decomposition method, respectively. Simulation results show that the proposed algorithm converges fast. Compared with local computing and full offloading algorithms, the proposed algorithm can reduce the energy consumption of users by 74% at least. Additionally, compared with non-collaborative satellite MEC, LEO satellite collaborative MEC based on the ISL can reduce the energy consumption of users by 22% at least. By increasing the capacity of ISL, the energy consumption of users is continuously decreased.关键词：satellite communications;collaborative edge computing;inter-satellite link;computation offloading;resource allocation;weighted sum energy consumption7|9|3更新时间：2025-12-11
- 摘要：So far, the limit of user information transmission rate of direct current biased optical orthogonal frequency division multiplexing access(DCO-OFDMA) for visible light communication(VLC) system with finite-alphabet inputs is yet unknown. In this paper, the user accurate achievable rate and its lower bound of the DCO-OFDMA system with finite-alphabet inputs are derived, and the total electrical transmission power minimization problem under user rate threshold constraints is studied. Since the original optimization problem is a joint optimization problem of minimizing the total electrical transmission power with the optimization variables of subcarrier allocation, power allocation and DC-bias, which is with high complexity and difficult to solve, by deriving the optimal DC-bias and fixed subcarrier allocation, the original problem is simplified into a single variable optimization problem, which is, minimizing the total information transmission power with power allocation as the optimization variable. Moreover, by using the Lagrangian function and Karush-Kuhn-Tucker(KKT) conditions, we propose a power allocation scheme to minimize the total information transmission power with user rate threshold constraints. Numerical results show that the power allocation scheme proposed in this paper depends on the channel gain difference between subcarriers and the user rate threshold, and its performance is significantly better than the equal power allocation scheme at the low rate threshold and the high rate threshold，moreover，its performance is significantly better than the traditional water-filling power allocation scheme at the high rate threshold.关键词：visible light communication;direct current biased optical orthogonal frequency division multiplexing access;finite-alphabet inputs;direct current bias;resource allocation2|15|0更新时间：2025-12-11
- 摘要：Data stream is an important form of big data, and data stream classification is one of the most important tasks in data mining. This task finds wide application in our life, so it has been attracting great attention of researchers. Concept drift and class imbalance are two main issues that affect the performance of data stream classification algorithms. However, most solutions only address one of these two issues. Even worse, most algorithms can only achieve good performance on data streams under manual settings and cannot be applied to real complex data streams. To solve this problem, an ensemble algorithm of weighted online sequential extreme learning machine with adaptive forgetting factor is proposed to deal with both conceptual drift and imbalance on complex data streams. The proposed algorithm is a weighted online sequential limit learning machine that integrates a weighting mechanism and a forgetting mechanism. In order to adapt to complex data streams, an online integration strategy including adaptive forgetting factor and concept drift detection mechanism was designed as a classifier. Extensive simulation experiments show that the proposed algorithm achieves the best Gmean value on all data sets, has the ability to deal with concept drift and class imbalance, and presents stable, balanced and accurate classification effects.关键词：data stream classification;concept drift;class imbalance;online learning;extreme learning machine2|17|5更新时间：2025-12-11
- 摘要：In order to avoid on-site excavation during the fault diagnosis of the substation grounding grid, a method of grounding grid fault diagnosis based on magnetic field distribution characteristics is proposed. This method can distinguish the types of grounding grid faults and achieve accurate positioning of fracture and corrosion areas. This method combined with Manhattan distance theory and physical methods such as increasing the amplitude and frequency of excitation current, it can quantify and amplify the grounding grid conductor faults characteristics. The calculations show that the fault type and area can be judged by studying the distribution of the fault grounding grid surface magnetic field and analyzing the distribution characteristics of the fracture points and radiation points; the fault characteristics can be quantified by using the corrosion and fracture characteristic values, and the fault characteristics can be amplified by increasing the amplitude and frequency of the excitation current. These methods can improve the accuracy and efficiency of diagnosis. The research results provide a theoretical reference for the fault diagnosis of the substation grounding grid.关键词：grounding grid;fault diagnosis;magnetic field strength;Manhattan distance theory;fault characteristic value;corrosion characteristic value2|10|2更新时间：2025-12-11
- 摘要：To address the problems that PL-SLAM(Point and Line Simultaneous Localization And Mapping) algorithm uses point and line features at the same time in dense scenes, which cause redundancy in feature calculation, and misses keyframe selection during curve motion, an IFPL-SLAM(Improved keyframe extraction strategy-based Fast PL-SLAM) algorithm is proposed. The algorithm introduces an information entropy-guided bit tracking decision, evaluates the priority extracted feature points using information entropy, and decides the fusion of point and line features based on the evaluation results, which avoids data redundancy caused by the simultaneous use of point and line features in dense texture scenes and improves the real-time performance of the algorithm. At the same time, in order to avoid missing keyframes during curve motion, the inverse index keyframe selection strategy is used to supplement the keyframes missed during curve motion, which improves the accuracy and positioning precision of the closed loop. The test results on the publicly available KITTI dataset and TUM dataset show that the running time of the algorithm proposed is reduced by 16.0% compared to the PL-SLAM algorithm, and the localization accuracy is increased by 23.4% compared to PL-SLAM, which exhibits a good mapping capability.关键词：point and line features;position estimation;information entropy;keyframe;inverse index;simultaneous localization and mapping7|11|7更新时间：2025-12-11
- 摘要：The life information contained in multiple internal states of lithium-ion battery is not fully considered in the existing RUL(Remaining Useful Life) prediction methods of lithium-ion battery based on deep learning. In view of this, a RUL prediction model that integrates the three internal states include battery capacity, impedance and temperature is proposed. The Bi-LSTM(Bi-directional Long Short-Term Memory) network is introduced to learn the correlation about time of the data of the three states firstly. Secondly, the equivalence between dropout technology and Bayesian variational inference technology is used to quantify the uncertainty of the RUL prediction results. The 95% confidence interval and PDF(Probability Distribution Function) of the RUL prediction results are obtained, and the effect on the prediction uncertainty of different dropout rates is analyzed. Finally, the effectiveness of this method is verified through the comparative experiments of four different deep learning model and two input schemes of internal state.关键词：deep learning;remaining useful life prediction;bi-directional long short-term memory network;Bayesian variational inference technology;dropout technology;quantification of uncertainty3|13|12更新时间：2025-12-11
- 摘要：Current image inpainting methods mainly rely on automatic encoding and decoding networks. These methods try to use the information compressed in the encoding stage to restore an original image in the decoding stage. While, it is difficult to reconstruct detailed inpainting results by using only compressed information. Due to the loss of information during compression, there are visual artifacts in the results, such as blurring and obvious edge response around the reconstructed area. Aimed at the problem of incomplete utilization of image information, this manuscript proposed a multi-stage decoding network (MSDN). The MSDN decodes and aggregates features of each layer in the encoder by multiple decoders successively, which can increase utilization of features from different layers in the encoding stage and obtain better feature maps to reflect the defected area. The experiment results, which are conducted on internationally recognized datasets, show that visual effects of images generated by MSDN have been improved.关键词：image inpainting;automatic encoding and decoding networks;multi-stage decoding network4|9|6更新时间：2025-12-11
- 摘要：A solution based on machine vision is proposed to solve the problems of surface image of cylindrical lithium battery, such as uneven brightness, uneven reflection on metal surface, oxidation rust spots and highlighting noise points. A defined double Gaussian texture filtering template was used to convolve with the image. The grayscale distribution curve of each column of the image was extracted. The extraction threshold of the discontinuous point on the grayscale distribution curve was calculated by using the defined extreme point Weber contrast. The candidate pit regions were screened out according to the prior knowledge. The non-pit textures were excluded by using region features and gray value features. The test results indicate the false rejection rate (FRR) and false accept rate (FAR) are 5.49 percent and 5.38 percent respectively. And the uneven brightness and uneven reflection had no effect on pit detection.关键词：double Gaussian texture filtering template;extreme point Weber contrast;cylindrical lithium battery;pit;grayscale distribution curve;machine vision2|10|3更新时间：2025-12-11
- 摘要：Aiming at the problem of MOSFET（Metal-Oxide-Semiconductor Field-Effect Transistor） device prognostic and health management, a fault prediction method combining long short term memory(LSTM) algorithm and discrete hidden Markov model(DHMM) is proposed to identify the health status and predict the fault time of MOSFET devices. In this method, LSTM algorithm is used to predict the development trend of device state; autoregressive(AR) model is used as the feature extraction method; DHMM is used to establish the mapping relationship between feature vector and degradation level; based on the prediction results of LSTM-DHMM model, false alarm is eliminated and fault time is predicted by combining with the failure threshold. The prediction error is less than 10% and the accuracy is high. Compared with single-stress GRU-DHMM（Gated Recurrent Unit Discrete Hidden Markov Model）、GRU-SVM（Gated Recurrent Unit Support Vector Machine） and LSTM-SVM（Long Short-Term Memory Support Vector Machine）, the proposed method is superior to the other four schemes in prediction accuracy and rationality, the results show that the prediction accuracy of the proposed method is higher than that of the other three schemes, and the proposed method can effectively identify the health state of the experimental devices and predict the fault time well, which is effective and superior.关键词：prognostic and health management;MOSFET（Metal-Oxide-Semiconductor Field-Effect Transistor）;long short-term memory;discrete hidden Markov model;autoregressive model;fault time5|10|1更新时间：2025-12-11
- 摘要：According to the band-limited, sparse and long-delay characteristics of the underwater acoustic (UWA) channels, and considering the requirements for real-time high-quality UWA communication, an expectation propagation (EP) based iterative channel estimation and frequency domain turbo equalization (EP-ICE-FDTE) algorithm is proposed. The EP is used to iteratively estimate the a priori and a posterior distribution of the transmitted symbols, and theposterioriprobability soft-mapped symbols are used to improve the accuracy of channel estimation. Therefore, EP improves the performance of Turbo equalization interference cancellation by optimizing symbol probability and channel estimation. Simulations indicate that the proposed algorithm obtains better received signal recovery than those of traditional ones. The proposed EP-ICE-FDTE obtains 3.4dB, 1.3dB performance gains, when compared with those of the currently well iterative channel estimation-frequency domain decision feedback-frequency domain Turbo equalization (ICE-FDDF-FDTE) in static and time-varying UWA channels, respectively.关键词：underwater acoustic communications;EP algorithm;soft iterative channel estimation;frequency domain Turbo equalization3|10|1更新时间：2025-12-11
- 摘要：In view of the limitation of large amount of computation in the application of mode predictive control(MPC) to multilevel inverters, and considering the time delay problem of digital control strategy, the two-step predictive compensation control strategy is often adopted, which undoubtedly increases the computation amount of the algorithm and puts forward higher requirements for the system hardware. Firstly, this paper designed a simplified search strategy to improve predictive control method, through the looking-up table method to tracking reference value for the control of the next moment, only one prediction model cycle computing time is used, compared with traditional three level circuit predictive control method which each cycle should take 27 kinds control vector into the model of operation 27 times, the improved method greatly reducing the amount of calculation, save the calculation time. Secondly, aiming at the problem that the weight factor selection has a certain randomness when the predictive controller solves the multi-objective optimization problem, this paper presents a branch-and-bound weight factor selection strategy to solve the midpoint potential imbalance problem. Finally, simulation and experiment verify the effectiveness and feasibility of the simplified control strategy.关键词：model predictive control(MPC);deadbeat control;voltage source inverter;time delay compensation;weight factor3|16|0更新时间：2025-12-11
- 摘要：To conquer the difficulties of indoor centimeter-level positioning and single receive station positioning technology, a multi-carrier phase distance observation equation based on frequency hopping is established by employing the technical advantage of RFID’s phase synchronization, and the link distances of each carrier in different phase cycles are calculated, the integer ambiguity is solved quickly by using the distance variance, which improves the robustness of integer ambiguity solution. By using frequency hopping and improving the multiple signal classification (MUSIC) algorithm, a solution model of frequency-hop-signal direction finding is established, which can eliminate the errors caused by nonparallel incoming wave at different antenna in short distance communication and accurately measure the tag reflection signal’s direction by two antennas. Finally, the joint carrier phase ranging filters the results of dual antennas direction finding to achieve centimeter-level accurate positioning single-station of RFID tags. Measurement results show that the average positioning error is less than 4 cm.关键词：indoor location;single station;RFID;carrier phase;MUSIC6|10|0更新时间：2025-12-11
- 摘要：Accurate tooth segmentation from 3D dental model is the basis of computer-aided-design (CAD) for orthodontic treatment. Due to the relatively coarse modeling of local feature, existing 3D shape segmentation networks cannot effectively extract more detailed local feature on teeth boundaries. This issue will further result in over-segmentation or under-segmentation on boundaries. In this paper, a 3D dental model segmentation network based on local attention mechanism is proposed to improve segmentation performance on teeth boundaries. Firstly, multi-scale local spaces are constructed for 3D mesh data of raw dental model. Secondly, attention weights are learned based on the spatial distribution and feature differences of meshes for each local space. Finally, a local feature aggregation is applied based on learned attention weights of meshes to make the network automatically focus on more representive mesh features in each local space. The proposed network is evaluated on a real-patient datasets, and the experimental results show that our network can more clearly and accurately segment teeth boundaries when compared with existing methods.关键词：3D mesh data;oral scanning data;3D dental model;tooth segmentation;attention mechanism2|12|4更新时间：2025-12-11
- 摘要：Aiming at the the detection and tracking of weak radar targets, the Swerling 0,1,3 three types of fluctuating target models are studied, and track-before-detect algorithm of weak radar targets with amplitude fluctuations based on probability hypothesis density filtering is proposed. We establish two tracking models of complex likelihood ratio and amplitude likelihood ratio under the probability hypothesis density track-before-detect algorithm. As results of making better use of the original target information, the complex likelihood ratio approach makes up for the shortcomings of the amplitude likelihood ratio. In order to solve the problem of newborn targets with unknown prior distribution information, we propose the adaptive target birth algorithm based on measurement likelihood ratio. The simulation results show that, in the case of target amplitude fluctuation, the complex likelihood ratio method is superior to the amplitude likelihood ratio in the estimation performance of target position and number, and the calculation efficiency is higher. At low signal-to-noise ratio, complex likelihood can still detect and track unknown number of weak targets effectively.关键词：track-before-detect;weak targets;probability hypothesis density filter;amplitude fluctuations;adaptive birth15|8|3更新时间：2025-12-11
- 摘要：Hardware obfuscation is a method of chip protection through targeted modification of soft core, solid core or hard core. It has become a research hotspot in the field of chip security. In order to unlock multiple hardware IP cores on demand and improve their security, an unlock-on-demand hardware obfuscation scheme based on the linear independent matrix is proposed in this paper. Firstly, by using the linear independent matrix algorithm, the scheme generates a randomized matrix to isolate the external input key and internal unlock signal. Secondly, it encrypts multiple IP cores based on a combination of redundant and black-hole states obfuscation technologies. Finally, according to users’ needs, it unlocks chip on demand through matrix multiplication. By using the SMIC 65 nm CMOS(Complementary Metal Oxide Semiconductor) process, the ITC(International Test Conference) reference circuit and encryption algorithm IP core are implemented for the proposed hardware obfuscation design. The experimental results have shown that the designed circuit has the advantages of unlock-on-demand, low additional area and power consumption (both less than 8%), and effective defenses against code coverage attacks, register flip attacks and member leakage attacks.关键词：linear independent matrix;redundant and black-hole states;unlock-on-demand;hardware security3|8|0更新时间：2025-12-11
- 摘要：This paper proposes a multi-objective evolutionary algorithm with clustering based fitness guided mating restriction strategy (KFGEA). In the iteration process of this algorithm, K-means clustering algorithm is used to extract population structure information from a global perspective.Based on the global information obtained by clustering, this paper designs a fitness-guided mating restriction strategy around individual local information to complete the fusion of global and local information.This strategy judges the individual quality based on the deterministic information of fitness value, recombines the non-dominant solution with its neighbors, explores the dominant solution globally, and maintains the balance between exploitation and exploration during the algorithm search process.Compared with other mainstream multi-objective evolutionary algorithms, KFGEA has obvious advantages in solving multi-objective optimization problems with complex characteristics. The results show that this strategy can effectively improve the performance of multi-objective evolutionary algorithm.关键词：evolutionary algorithm;multi-objective optimization;clustering algorithm;mating restriction strategy;Information fusion3|12|2更新时间：2025-12-11
- 摘要：Using information entropy or fuzzy entropy to determine the different features of each cluster for subspace clustering, subspace clustering for high dimensional data is solved very well. For further improving performance of clustering algorithm, negative structural α‑entropy with weight vector is introduced into the Gaussian mixture model to obtain a structural α‑entropy weighting mixture model of subspace clustering. Based on this, the structural α‑entropy weighting mixture model subspace clustering algorithm(SEWMM) is derived theoretically, which can not only discover clusters in different subspaces in high dimensional data space, but also can discover clusters with various shape volumes in subspaces. And convergence and time complexity of algorithm are further analyzed. In the experiment, compared with some representative algorithms, the proposed algorithm SEWMM is tested on UCI(University of California, Irvine) standard data sets and image data sets. It shows the proposed algorithm has a certain improvement in the overall performance.关键词：fuzzy entropy;structural α-entropy;feature weighting;Gaussian mixture model;high-dimensional data;subspace clustering2|9|4更新时间：2025-12-11
PAPERS
- 摘要：The transmitter and receiver of traditional radar system use open-loop mode, which is lack of flexibility and robustness when sensing targets in dynamic environment. Based on biological cognitive learning process, cognitive radar can sense dynamic environment and target information, and realize fully adaptive processing by closed-loop feedback control of transmitter and receiver. In this paper, the basic framework of cognitive radar waveform optimization is introduced, and the main research contents and progress of cognitive waveform optimization oriented to detection, tracking, imaging, classification and anti-jamming are summarized, which provides a vertical and horizontal comparative perspective for waveform optimization technology research oriented to single mission and joint multi-missions. On the basis of existing research, analysis of the cognitive radar waveform optimization advantages and challenges, points out that the cognitive potential research area in waveform optimization techniques, including knowledge validity evaluation, artificial intelligence based cognitive waveform optimization, General metrics, knowledge-aided optimization algorithms, etc.关键词：cognitive radar;waveform optimization;waveform design;radar mission7|12|8更新时间：2025-12-11
SURVEYS AND REVIEWS
- 摘要：Recently, using human behavior to hide secrecy has become the focus of steganography research. In this paper, we propose an one-to-many behavior steganography in social networks based on the 0-1 knapsack algorithm, which changes the information transmission mode from one-to-one to one-to-many, and introduces the 0-1 knapsack algorithm to improve the transmission efficiency and the flexibility of the transmission mode; the preprocessing of CMI (Coded Mark Inversion) coding is added to solve the high bit error rate problem when transmit a large number of continuous and the same secret information. The number of common friends of the sender and each receiver is reduced, therefore reducing data redundancy. The experimental analysis shows that this scheme improves the practical value of behavior steganography in social networks, and has high security.关键词：information hiding;steganography;behavior;behavior steganography;social network;0-1 knapsack algorithm2|10|2更新时间：2025-12-11
- 摘要：According to the theories and methods in machine learning, we converted the track correlation problem in the field of information fusion to a classification recognition problem in the field of machine learning by designing the input data and output data. In advance, a deep learning track correlation method was proposed in this paper. The experiments illustrate that the new method is better than the compared methods in the aspect of correlation performance and adaptation abilities. Thus, the new method would have a good applied foreground.关键词：track correlation;deep learning;machine learning;convolutional neural network;multilayer neural network4|7|2更新时间：2025-12-11
- 摘要：A topology of an energy-saving single-phase full bridge inverter with simple control is proposed to improve power conversion efficiency of single-phase full bridge inverter. Simple limited unipolar sinusoidal pulse width modulation is applied in the inverter. Only one main switch and one auxiliary switch need to be controlled in the working process in every switching period. Moreover, setting threshold of resonant current and load current need not to be designed to control the auxiliary switch, thus improving the reliability and practicability of the inverter. During the operation of the inverter, the auxiliary circuit is used to make the main switch achieve zero-current turn on and zero-voltage turn off, and the auxiliary switch also achieves zero-current turn on. Energy-saving operation of the inverter is achieved by reducing the switching loss. In this paper, the working process of the circuit is analyzed. The experimental results on a single-phase prototype with rated power of 2kW show that the switching devices could achieve soft-switching, which lays a theoretical and technical foundation for further research and development of a new practical single-phase full-bridge soft-switching inverter with high performance.关键词：inverter;resonant circuit;zero-voltage turn off;zero-current turn on;sinusoidal pulse width modulation3|10|1更新时间：2025-12-11
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