最新刊期
卷 49 ， 期 8 ， 2021
- 摘要：To improve the SNR of received signals, a normalized minimum mean square adaptive filtering denoising method based on variational mode decomposition using variable step-size was proposed. The proposed algorithm decomposed the original signal into several components labelled as noise or signal component. Then an interval threshold denoising method was exploited to denoise the noise component before inputted into an adaptive filter as a reference signal. All the rest signal components were used to reconstruct the final denoised signal after denoised by iterative adaptive filters. In addition, an optimal algorithm based on variational mode decomposition using wavelet threshold denoising and interval threshold denoising methods was exploited. Experimental results show that the proposed adaptive filtering denoising method outperforms the optimal algorithm using threshold denoising.关键词：variational mode decomposition;wavelet threshold;interval threshold;adaptive filtering;signal denoising5|12|8更新时间：2025-12-08
- 摘要：Complementary sequences (CSs) have attracted more attention in application of multicarrier code-division multiple-access (MC-CDMA) communication system since they are able to remove multipath interference (MPI) and multi-access interference (MAI). Based on Chinese reminder theorem, a construction method of punctured binary complementary sequence pairs (PBCSPs) with composite length has been proposed. This result can greatly extend the range of complementary sequence. To further study PBCSPs, we present a new block design—punctured difference family pair (PDFP), and establish the equivalent relationship between PDFP and PBCSPs, which provides a theoretical basis for the study of PBCSPs by using the new block design of PDFP.关键词：MC-CDMA;punctured sequence;punctured binary complementary sequence pairs;punctured difference family pair3|14|0更新时间：2025-12-08
- 摘要：Perfect Gaussian integer sequences applied to communication systems can not only restrain disturbance, but also obtain high transmission rates and spectrum utilization. In this paper, the sufficient and necessary condition for constructing the perfect Gaussian integer sequences with 2-degree freedom is given based on the cyclic difference sets. The perfect Gaussian integer sequences with higher energy efficiency can be obtained compared to the existing literatures. The length and degree of freedom of the perfect Gaussian integer sequences are extended by up-sampling and filtering. A large number of perfect Gaussian integer sequences obtained in this paper are suitable for high speed communication applications, which expands the selection range of address codes.关键词：perfect Gaussian integer sequences;cyclic difference sets;degree of freedom;energy efficiency2|13|1更新时间：2025-12-08
- 摘要：To solve the problem of pseudorandom (PN) codes estimation for direct sequence spread spectrum (DSSS) signals over multipath channels in non-cooperative communication, based on analyzing the second-order statistics of the signals, a method for joint blind estimation of PN codes and channels with maximum likelihood (ML) is proposed. First, we establish a ML mathematical model of PN codes and multipath channels. Then, we iteratively transform the mathematical model and use the iterative least square projection (ILSP) algorithm to estimate the PN code and channel. Furthermore, to reduce the complexity of the algorithm and avoid the matrix inversion, we present an adaptive rule of our algorithm. Finally, to avoid the decrease of PN code estimation accuracy caused by the channel estimation error, especially under low signal-to-noise ratio, an improved algorithm based on the iterative total least squares projection (ITLSP) is presented. The proposed methods are applicable to all types of PN codes and the simulation results are presented to demonstrate the effectiveness of the algorithms.关键词：DSSS;multipath channels;PN codes;maximum likelihood;iterative least square projection (ILSP);total least squares3|13|3更新时间：2025-12-08
- 摘要：Dynamic protein network construction and complex mining problem is a hot topic. In view of the shortcomings of existing algorithms in solving the above problems, a protein network construction algorithm based on dynamic graph is firstly proposed by considering the active period and the connection strength of proteins in this paper. Then, a protein complex mining algorithm(PCMA) on dynamic protein network is designed based on the density clustering. The whole mining process consists of three steps: the generation of protein complex based on DBSCAN(density-based spatial clustering of applications with noise) algorithm; the combination of protein complex based on the combination gain and the adjustment of protein complex based on the degree of membership. Experiments are carried out on several open biological datasets. The experimental results show that the performance of the proposed algorithm is better than that of the existing algorithms in terms of recall, precision and F-measure, and it is not sensitive to the input parameters. On the premise of ensuring the accuracy of protein complex mining, the time complexity of the proposed algorithm is in a reasonable range.关键词：dynamic protein network;protein complex;dynamic graph;density clustering;recall;precision;time complexity6|11|0更新时间：2025-12-08
- 摘要：A blind video image denoising algorithm based on non-local self-similar series sets is proposed to improve the peak signal-to-noise ratio and denoising efficiency of video images with displacement characteristics. Image block-groups with typical features are detected in each frame, and accurate inter-frame displacement between the image and previous frame is computed based on image block-matching. The noise image is divided into several image blocks, and the self-similar series set of each image blocks is constructed quickly according to the inter-frame displacement. A 3D transform is applied to the self-similar series set, followed by an adaptive-threshold of the transform coefficients to attenuate the noise. The 3D estimate after inverse 3D transformation are aggregated to obtain the finial image. Experimental results show that the proposed algorithm has significate advantages in PSNR and visual effect in unknown noise variance, meanwhile it also has higher efficiency.关键词：video image denoising;block-matching;self-similarity series set;3D transform;adaptive threshold4|12|1更新时间：2025-12-08
- 摘要：Due to high labor cost and few abnormal cases of power box-table relations inspection, which difficulty to obtain the law. The extreme unbalanced classification learning method was used to capture the generalization. Through the principle of voltage, abnormal box-table relationship sample sets were identified. And by three-class weighting balance, the CNN(convolutional neural network) abnormal box-table relationship recognition model was constructed. In addition, the grouped parallel generalization learning of recognition model was realized by reinforcement learning. The experiment proves that, through self-learning the distribution of newly identified abnormal sample data, which improve the generalization to different environments. This reduces the workload of manual on-site verification and ensures the accuracy of the topology network relationship in the low-voltage station area.关键词：extreme unbalanced classification;voltage curve identification;convolutional neural network;Adaboost algorithm;group reinforcement learning2|16|0更新时间：2025-12-08
- 摘要：This paper studies an optimization problem of the production scheduling with cutting process. A two-stage mathematical model of hybrid flow-shop scheduling problem with one-to-many constraints is established to minimize the makespan of all jobs. A cooperative attacking GWO is designed according to the problem feature, a new encoding scheme and the social hierarchy are developed. The search for the prey strategy is improved, and the collaborative running attack strategy is proposed. The sensitivity test and the results comparison of GA, GWO and CDGWO are carried out by the improved standard test. Algorithms are not significantly different when solving small-scale problems. As the scale increasing, the CDGWO performs very stable and the evolutionary efficiency shows very well.关键词：hybrid flow-shop scheduling problem;grey wolf optimizer;cooperative attack;maximum completion time2|20|2更新时间：2025-12-08
- 摘要：The purpose of clustering ensemble is to find a unified partition of objects by fusing a set of clustering results. This paper proposes a multi-granulation three-way clustering ensemble algorithm based on shadowed sets to deal with the fuzzy and uncertainty data in the actual world. First, the algorithm generates a set of clustering members using the fuzzy c-means algorithm, and then the membership degree is mapped into three regions to construct three-way clustering. Second, the multi-granulation rough sets are used to construct four different approximate regions. Each cluster contains a core region and three boundary regions. Finally, the shadowed set is used to classify objects in boundary regions sequentially. Objects that cannot be divided are left in the boundary region. The experimental results show the algorithm obtains better clustering ensemble results in accuracy, adjust rand index, and normalized mutual information compared to multiple existing clustering ensemble algorithms.关键词：clustering ensemble;three-way clustering;multi-granulation;fuzzy c-means (FCM);shadowed sets2|12|3更新时间：2025-12-08
- 摘要：Three dimensional (3D) palmprint could efficiently reduce potential security risks in practical applications, and thus attracts a growing interest in recent years. However, most existing 3D palmprint recognition methods require hand-craft designed descriptors and strong prior knowledge are needed. In this paper, we propose a local direction binary code learning method for 3D palmprint recognition. We employ shape index representation to demonstrate the geometry characteristics of local regions in 3D palmprint data, and form Gabor filter response difference vector as the feature vectors by applying the Gabor filter on the shape index image. We utilize the hash learning model to learn feature mapping functions that can project these feature vectors into direction binary code, and further construct the block-wise histograms for matching. Experiments on Hong Kong Polytechnic University 3D palmprint database validate that our method outperforms existing state-of-the-art methods in terms of recognition accuracy, showing the effectiveness of our method.关键词：3D palmprint recognition;local direction binary code;shape index;hash learning3|20|1更新时间：2025-12-08
- 摘要：For the purpose of capturing the multi-granularity features and improving the recognition accuracy, a multi-granularity feature fusion network for person re-identification (MFN) is proposed based on the omist-scale network (OSNet). The MFN network is composed of a global branch, a feature dropout branch and a local branch. The feature dropout branch consists of a dual-channel attention dropout model, which includes a channel attention-based dropout moudle (CDM) and a Spatial attention-based dropout moudle (SDM). CDM sorts the attention intensity and dropouts low attention channels, and SDM dropouts the most discriminative features with a certain probability in the spatial dimension. The global branch uses the feature pyramid structure to extract multi-scale features, and the local branch employs a uniform partition strategy to produce local features which are cascaded into a single one for key local information extraction. Experiments on the large scale datasets show the effectiveness of MFN. On the Market1501, DukeMTMC-reID and CUHK03 -Labeled (Detected) datasets, mAP/Rank-1 of MFN reaches 90.1%/95.8%, 81.8%/91.4% and 80.7%/82.3% (78.7%/81.6%), which is superior to other existing methods.关键词：person re-identification;multi-branch CNN network;pyramid structure;feature dropout3|15|8更新时间：2025-12-08
- 摘要：The paper presents an effective method to model building facades based on line segment matching and structure priors. The proposed method splits the image into several non-overlapping regions using the lines detected in the image, and then performs a rapid matching for the vertical edges of each region within a highly restrained point-line space and extracts dominant building planes using a global multi-plane fitting method. Based on the resulting planes, it further infers and optimizes potential line segment matches (or spatial lines) using structure priors (e.g., collinearity and coplanarity) to obtain the plane associated with each region. Experimental results confirm that the proposed method can reconstruct satisfactory line-plane building facade structures from only two images, and has high accuracy and efficiency on the whole.关键词：line segment matching;urban scene modeling;plane fitting2|11|3更新时间：2025-12-08
- 摘要：In order to solve the problem of high false alarm rate of abnormal detection of process data in industrial network security protection, this paper proposes an anomaly detection method based on time series. In this method, the process data is analyzed by association analysis and vector mapping, and the stacked auto-encoder neural network (SAE) is used to reduce the dimension of process data features. According to the correlation of process data in the transmission sequence, an anomaly detection model based on long and short term memory neural network (LSTM) is designed. Finally, the simulation analysis of abnormal detection of process data is carried out. The experimental results show that the anomaly detection model based on time series can greatly improve the accuracy of process data anomaly detection, and the false positive rate is lower than the traditional hidden Markov anomaly detection model, and at the same time get better real-time performance of anomaly detection.关键词：industrial control system;industrial control anomaly detection system;auto-encoder neural network;long and short term memory neural network3|13|7更新时间：2025-12-08
- 摘要：At present, some SVM(Support Vector Machines) classifiers, hypersphere SVM classifier and deep learning classifier with high correct recognition rate still have about 2% false recognition rate and weak incremental learning function. In this paper, a high correct recognition rate classifier designed with appropriate rejection mechanism and incremental learning algorithm is proposed to solve the above problems. The main work include: the construction algorithm of compact packing set of homogeneous feature set; the algorithm for solving the compact packing surface of homogeneous feature region based on homogeneous feature set and compact packing set; the method of setting all the public areas outside the compact packing surface as the rejection area of the classifier; when adding new categories, increasing or decreasing training samples, the above algorithms are incremental learning algorithms. A comparison experiment with uci data sets shows that the correct recognition rate of the classifier is greater than 99.13%, when the rejection rate is less than 1.3%.关键词：classifier;pattern recognition;support vector machine;incremental learning;classification surface;wrapping learning3|17|0更新时间：2025-12-08
- 摘要：Lion swarm algorithm is a kind of group intelligent algorithm with strong optimization ability. In order to overcome the slow convergence speed caused by the long periodicity of Lion King replacement in the basic lion group algorithm, the insufficient earlier ergodicity due to the blind selection strategy of young lion, and the slow local convergence speed in the later stage of the algorithm, the replacement strategy of Lion King and the selection probability of lion cubs were improved based on the original lion swarm algorithm. The information entropy was introduced to control the step length of different lion cubs, the Lion King Stabilizer factor was introduced to solve the blindness of lion cubs' later selection, and the overall composition of lion group was adjusted appropriately. The value of information entropy was used to measure the uncertainty of young lion selection in the lion group algorithm. Different disturbance factors were set to achieve the moving range of different young lions in the control algorithm, so as to realize the adaptive adjustment of the algorithm and increase the robustness of the algorithm. The effectiveness of the improved algorithm was verified by simulation, TSP and truss optimization. This study provides a new idea and method for solving structural optimization problems.关键词：swarm intelligence;lion swarm optimization;information entropy;combinational optimization2|14|2更新时间：2025-12-08
- 摘要：The security analysis of the dynamic heterogeneous redundancy (DHR) system is one key issue of the cyber mimic defense. We propose the executor-vulnerability matrix (MEV) and the servant-vulnerability matrix (MSV) to achieve the formal representation of the DHR system. On this basis, the attack sequence method and the servant method are proposed to analyze DHR systems’ security from the attack success rate and controlled time rate. we deduce the security index calculation under (non-)collusion blind attack and (non-)collusion optimal attack scenarios. Therefore, we analyze the influence of various factors on DHR security through simulation experiments. We give several suggestions to enhance the DHR system’s security. The proposed approach can be used to analyze DHR systems’ security and assist in constructing DHR systems.关键词：cyber mimic defense;dynamic heterogeneous redundancy;security analysis;vulnerability matrix2|22|2更新时间：2025-12-08
- 摘要：Machine learning have been widely used in high-resolution remote sensing image scene classification task. However, the current research mainly focuses on data features and neural network structure, and the effect of neural network training tricks on remote sensing image classification performance is rarely mentioned. Therefore, this paper selects 7 neural network training tricks commonly used in natural image classification for experiments. According to their experimental performance in 3 large remote sensing image data sets and 4 widely used neural network models, neural network training tricks suitable for remote sensing image scene classification are selected. The effect of multiple neural network training tricks on the scene classification performance of remote sensing images was evaluated in detail through ablation experiment. An effective neural network training strategy was obtained by analyzing the overall accuracy, confusion matrix and Kappa coefficient, and the effectiveness of the neural network training strategy on the scene classification performance of remote sensing images was proved. According to the results of the stacking experiment, the combination of 7 training tricks can show good applicability in different network models and data sets.关键词：machine learning;high-resolution;remote sensing scene classification;training tricks;neural network2|14|2更新时间：2025-12-08
- 摘要：For the network scenario where multiple virtual network requests (VNRs) arrive dynamically, a cost and power consumption joint optimization based virtual network embedding (VNE) algorithm was proposed for software-defined networking (SDN). Based on the evaluation of the cost and power consumption required for embedding virtual nodes and links, the cost function of VNE was formulated. Under the constraints of resource requirements, the VNE problem was formulated as cost function minimization problem. A time window-based batch embedding strategy was proposed to dynamically process online VNRs. The VNR in certain time window was transformed into virtual node embedding subproblem and virtual link embedding subproblem, and the corresponding heuristic algorithms were proposed, respectively. Simulation results showed that the proposed algorithm reduced the cost and power consumption of VNRs, and improved the acceptance ratio of VNRs.关键词：software-defined networking;virtual network embedding;joint optimization;heuristic algorithm4|17|3更新时间：2025-12-08
- 摘要：In this paper, a high efficiency multi-piezoelectric harvesting circuit based on synchronous charge extraction (EM-SECE) is presented. The proposed circuit utilizes an improved positive and negative peak detection structure so that the phase difference between the peak voltage of the piezoelectric transducer and the switching action is reduced, and then the energy harvesting efficiency of the single piezoelectric transducer is improved. Further, using time division multiplexing of single inductor, multi-piezoelectric energy harvesting is achieved. The proposed circuit is of self-powered characteristic with no rectifying bridge structure. The experimental results show that under the same experimental condition, the harvesting power of the EM-SECE circuit for single piezoelectric transducer is 3.09 times than the maximum power of the standard energy harvesting circuit; with only one inductor, the harvesting power of the EM-SECE circuit with double piezoelectric transducers is 0.97 times of the harvesting power sum of two piezoelectric transducers.关键词：piezoelectric energy harvesting;multiple PZTs;time division multiplexing;self-powered;synchronous electric charge extraction2|20|1更新时间：2025-12-08
- 摘要：Aim to difference limitations such as low computational accuracy and weak computational performance for wide-area lightning electromagnetic pulse (LEMP), a new non-uniform grid finite difference time domain (FDTD) algorithm is proposed for large space distant conditions based on traditional uniform grid FDTD algorithm. The ground horizontal electric fields (Er) generated by cloud-to-ground lightning were calculated, and the distance between the observation point and the return-stroke channel (r) within 100km. This work revealed the typical waveform variation laws of Er generated by cloud-to-ground lightning changed along the return-stroke distance. Meanwhile, the effect of the earth conductivity (σ) and return-stroke velocity (v) on Er in this range was studied by using the non-uniform grid FDTD method. Results show that the waveforms of Er present in single pulse when r<2km. There emerged zero-crossing phenomenon when r<500m, and the farther distance the more obvious. The waveforms of Er present in bipolar pulse when r in the range of 50~100km. The pulse amplitude, half peak width, pulse width and the zero-crossing amplitude of Er attenuate with the increase of σ, especially in the range of σ≤2.5×10-3 S/m. The influence of v on Er increase significantly as return-stroke distance increases. The pulse amplitude of Er increase significantly with the increase of v when r >100m, and the effect of v on the zero-crossing amplitude of Er reflects the similar law when r >10km.关键词：LEMP（Lightning Electromagnetic Pulse）;cloud-to-ground lightning;non-uniform grid FDTD（Finite Difference Time Domain）;ground horizontal electric field;earth conductivity;return-stroke velocity2|19|0更新时间：2025-12-08
- 摘要：In order to achieve high efficiency operation of three-phase inverter, a novel topology of the three-phase resonant DC(Direct Current) link inverter is proposed, in which a simple auxiliary resonant circuit is set up in the DC link. The working flow of the circuit is analyzed. The experimental results show that the switching device achieves soft switching and the output current waveform of the inverter has no obvious distortion Therefore, the inverter can realize high-efficiency and stable operation.关键词：inverter;bridge arm;auxiliary circuit;resonance;low-loss;soft-switching4|14|1更新时间：2025-12-08
- 摘要：Silicon-based phototransistors have broad application prospects in the fields of high-frequency communication, automatic control, and power systems. From the perspective of system verification and simulation, there is an urgent need to establish an equivalent circuit model of phototransistors, which needs to include electrical and optical characteristics. This paper proposes a SPICE equivalent model of high-frequency(100MHz~1GHz) silicon-based phototransistors, including the main photoelectric characteristics of the device, and the extraction method of key electrical and optical parameters in the model is established by TCAD simulation. Based on the established SPICE model equivalent circuit of the high-frequency phototransistor, the simulation results can fully describe the electrical and optical characteristics of the phototransistor, it shows that the SPICE model and parameter extraction method proposed in this paper have reference value for system simulation based on high-frequency phototransistor.关键词：phototransistor;parameter extraction;SPICE model;high frequency;TCAD model4|14|0更新时间：2025-12-08
PAPERS
- 摘要：With the continuous expansion of the scale of the Internet and the diversification of application scenarios, traditional networks cannot satisfy the dynamic and diverse needs of new services well. Therefore, future networks have been researched around the world. Firstly, research status of future Internet architectures are introduced. The architecture of smart identifier network (SINET) with the characteristics of ‘three layers and two domains’ is described. Then, the research progress of the key technologies of service mechanisms in SINET, including service naming and resolution, routing, service caching, mobility, transmission control, scalability and energy saving are discussed. The security of the service mechanisms in SINET are analyzed. Finally, the challenges of SINET are summarized, and the problems of deploying SINET in large-scale scenarios are discussed.关键词：smart identifier network;service mechanism;dynamic adaptation;security2|16|2更新时间：2025-12-08
SURVEYS AND REVIEWS
- Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19
京公网安备11010802024621 - It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
- Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
0