最新刊期
卷 48 ， 期 5 ， 2020
- 摘要：Language resource processing and linguistics research require effective retrieval on syntax tree corpus. This paper presented an index and search method for syntax tree corpus, which is efficient, accurate, and flexible. Based on the features of Chinese language and the needs for knowledge extraction, we designed seven types of indexes, aiming that with the help of structure and attribute information, knowledge extraction will be performed more effectively and accurately. Apart from general retrieval functions, our method supports retrieval based on the structure and attribute information of syntax trees. Experiments show that our method is both accurate and efficient.关键词：syntax tree corpus;knowledge extraction;information retrieval;language resource163|257|2更新时间：2025-07-16
- 摘要：The Electro-Laryngeal (EL) speech has some drawbacks such as single fundamental frequency, mechanical sound and large radiation noise. The drawbacks affect the intelligibility and naturalness of the EL speech. Especially, the tonal language such as Mandarin EL speech would be worse understanding. In this paper, the spelling corrector for pinyin and the tone labelling tool are designed to solve the problems that Mandarin EL speech recognition has some errors in consonants and the recognition result has no tone. The result is synthesized into the healthy speech by TTS based on Tacotron-2. The objective evaluation results show that the accuracy of pinyin spelling corrector has been improved; the accuracy of tone labelling under contextual environment is very high. The subjective results shows the proposed method can improve the intelligibility and naturalness of the EL speech a lot. The results illustrate that the proposed method can convert the EL speech without tone into the healthy speech. And the proposed method performs better than the traditional method based on speech signal processing.关键词：electro-laryngeal speech;pinyin spelling corrector;pinyin tone labelling;voice conversion73|107|0更新时间：2025-07-16
- 摘要：Quantum homomorphic cryptography directly evaluates the quantum ciphertext, rather than decrypts the quantum ciphertext and then calculates it. Based on a general d-dimensional unitary operator of phase and state transformation, a d-dimensional (t,n) threshold quantum homomorphic encryption algorithm was proposed. In this algorithm, the client sent the quantum state ciphertext to t of n servers. Each of the t servers generated the evaluation sub-keys, and then run the evaluation algorithm on the quantum state ciphertext to complete the calculation of quantum homomorphism. The client performed CNOT gates on the quantum states after decryption, and the aggregate value of t+1 particles was the result after evaluation calculation on the quantum state plaintext. The algorithm uses Shamir's (t,n) threshold scheme to hide the evaluation keys,so that it protects the client's private data. The theorems prove the correctness of the algorithm theoretically, and the simulations of each stage of the algorithm further verify its correctness.关键词：quantum homomorphic encryption;d-dimension;(t,n) threshold;general unitary operator;evaluation calculation79|110|2更新时间：2025-07-16
- 摘要：With the development of network representation learning technology, researchers are increasingly considering the integration of multi-dimensional attribute information to enhance the performance of network representation. In view of the lack of conflict discrimination and evaluation index for multi-attribute feature fusion in existing network representation learning methods, this paper proposes a network representation learning fusion method based on D-S evidence theory. Firstly, the support degree of different attribute information to the fusion result is given by SVM algorithm. Then,the fusion evaluation index in network representation learning is calculated by using evidence combination rules, and the confidence degree of each attribute is fully considered based on confusion matrix. Simulation results on three types of data sets show that the method can effectively detect conflicts in network representation fusion and improve the performance of fusion representation.关键词：network representation learning;feature fusion;D-S evidence theory;conflict discrimination79|128|2更新时间：2025-07-16
- 摘要：Quantum-dot cellular automata (QCA) is a kind of nano-devices with special computing paradigm, which is one of powerful competitors to replace traditional CMOS devices in the future. Based on the power consumption model in QCA technology, the coupling strength between cells in coplanar systems is modeled for radius of 41nm. The QCA gate structure model is then constructed according to the locations of cells to classify existing coplanar five-input majority gates. By characterizing their performances, a new low-power five-input majority gate is proposed. Simulation results demonstrate that the proposed gate has lowest power consumption and performs better than other gates. To verify its properties in practical applications, a new coplanar QCA full adder is designed by means of MR Azghadi full adder, which has the best performance among similar adders.关键词：quantum-dot cellular automata;five-input majority gate;power consumption model;full adder90|116|1更新时间：2025-07-16
- 摘要：Numerous studies have shown that microRNA (miRNA) plays important role in the study of human complex diseases. Identifying the association between miRNAs and diseases is important for improving the therapeutic level of complex diseases. However, traditional experimental is often limited to small-scale and high-cost,so computational simulation is urgently needed to quickly and effectively predict the potential miRNAs-disease associations. In this study, a new method is proposed to predict the miRNA-disease association by combining deep learning stacked automatic encoder algorithm with rotation forest classifier. This method can effectively extract high-level features that combine disease semantic similarity, miNRA functional similarity and miRNA sequence information, and accurately classify them. In the cross-validation experiment, this method achieved 90.30% prediction accuracy on the HMDD v3.0 dataset. Furthermore, we have also done case studies on Breast Neoplasms. As a result,28 of the top 30 miRNA-disease associations were confirmed. These excellent results indicate that this method is an effective tool for predicting miRNA-disease associations, and can provide highly reliable candidate miRNAs for biological experiments.关键词：deep learning;miRNA-disease association;stacked automatic encoder;rotation forest126|132|5更新时间：2025-07-16
- 摘要：Responsiveness and stability have always been two important problems in stream computing. However, as the scale of data being processed in real-time has increased, along with an increase in the data processing latency and topology instability of stream computing, many limitations of stream processing system have become apparent. Aiming at these problems, we present a performance optimization method based on dynamic topology for stream computing: (1) Dynamic step-by-step backpressure: the task in the topology can dynamically adjust the rate of upstream data transmission according to the current load. (2) Stateless topology data replay: topology can achieve data fault tolerance autonomously without maintaining the calculation of data state. (3) Adaptive topology replacement: no need for topology to suspend, the system can adjust the task concurrency spontaneously. (4) Delayed persistent queue: it delays the IO reading and writing in the disk out of the data processing, which mitigates the impact of IO high-frequency blocking in stream computing system. In this paper, the four methods are implemented in Apache Storm. The experimental results show that the optimized system not only enhances the dynamic matching capability of big data, but also achieves 17% higher throughput and 20% better data processing speed in the best case.关键词：data stream topology;stream computing;big data;stream computing system;performance optimization60|115|1更新时间：2025-07-16
- 摘要：In heterogeneous 5th generation network, a robust vertical handoff algorithm based on interval mark decision is proposed to solve the problem of low handoff accuracy, which is caused by poor robustness of current vertical handoff algorithms. Firstly, the median average filter method is employed to obtain more accurate network attribute values. Secondly, based on parameter fluctuation characteristic analysis, an interval mark decision algorithm is proposed to ensure the pass rate and accuracy of candidate network screening, moreover, the robustness of the handoff process is also effectively improved. Thirdly, according to the transmission layer requirements and motion trend of the mobile terminals, the optimum target network is obtained by using utility functions with different weights. Finally, the simulations show that the proposed algorithm can effectively improve the accuracy of handoff triggering and network screening while reducing the failed handoff and the ping-pong effect. Not only that, the total network throughput is also improved. Meanwhile, it chooses the best target network according to the requirements of mobile terminals.关键词：heterogeneous 5G network;vertical handoff;median average filter;interval mark decision116|121|2更新时间：2025-07-16
- 摘要：The algorithm ERACC proposed by Yang et al. has high reasoning efficiency. To further improve performance of ERACC algorithm in solving large-scale SAT problem, firstly, IMOM is used to generate the initial maximum term. Then a CCA_ER is designed to provide certain opportunities for the literals of variables whose configurations have not been changed since their last flips in maximal terms. At the same time, in order to further improve the performance of extension rule-based reasoning algorithm on the k-SAT problem, PAWS_ER is designed. Then the Subscore_ER, CScore_ER and HScore_ER attributes for variables are further designed. Finally, ERACC_IAPS and CERACC_ER algorithms are proposed. The experimental results show that the efficiency of ERACC_IAPS and CERACC_IAPS algorithms is obviously better than that of ERACC algorithm, and the maximum solution efficiency can be improved by more than 1000 times.关键词：extension rule;automated reasoning;local search;configuration checking102|123|0更新时间：2025-07-16
- 摘要：Multi-target regression (MTR) refers to learning multiple relevant regression tasks simultaneously. The main challenges of multi-target regression arise from modeling the underlying relationships between input features and output target variables as well as exploring inter-target correlations. In this paper, we propose a multi-target regression method via sparse integration and label-specific features (SI-LSF) that utilizes inter-target correlations to improve the overall prediction accuracy by constructing label-specific features and deals with the input-output relationships through sparse integration of various regression models. Extensive experimental evaluation on 18 benchmark datasets demonstrates that our proposed method can achieve competitive performance against representative state-of-the-art multi-target regression methods, which shows the great effectiveness in dealing with multivariate prediction.关键词：multi-target regression;sparse integration;label specific features;inter-target correlations78|89|2更新时间：2025-07-16
- 摘要：An electric operation system matched with the miniature circuit breaker is designed in order to compensate for the mis-operation of miniature circuit breaker. The breaker is a kind of mechatronic products and European Union EMC standard EN55014 is required. For the design in the paper, four characteristics are mostly concerned: EMI, EMS, Harmonic and Flicker. The strategies in the design include three aspects. The first one is using the low-pass filter with high integration, strong harmonic attenuation and high surge resistance. The second one is the quasi resonant soft switch technology and time-sharing frequency conversion control strategy. The third one is optimizing the PCB layout and the wiring. Finally, the designed breaker reaches the critical standards and obtains the qualified CE certification.关键词：miniature circuit breaker;electron-magnetic compatibility;integrated low pass filter;quasi-resonance71|97|0更新时间：2025-07-16
- 摘要：High speed data rate due to the improvement of frequency band of microwave radiometer gives a great challenge to design the backend of microwave radiometer. A method of a combination of polyphase filterbanks structure and advanced FFT structure was presented to solve this problem. This paper gave the design and key implementation of this method, compared result of mathematical method on MATLAB and that of implementation on FPGA. The results match each other well, which means that this method can work in designing high speed digital spectrometer. It is new in the design of backend of microwave radiometer used to achieve broadband measurement of atmosphere. It is flexible to change the design of backend to share different front ends of microwave radiometer at low time and financial cost. At the same time, it is a good resolution to realize high speed digital spectrometer.关键词：high speed digital spectrometer;polyphase filterbanks;advanced FFT method;microwave radiometer59|241|2更新时间：2025-07-16
- 摘要：In distributed storage system for big data,the repair pipelining (RP) reduces repair time by 90%, which effectively solves the problem that erasure code is not suitable for storing hot data due to the heavy overhead of repair time. However, the existing RP has the problem of unbalanced load among nodes,which leads to the degradation of system performance. In this paper, a repair pipelining based on node load balancing (NLB-RP) is designed, and then the algorithms for calculating the load of nodes and repair time according to the evaluation index of performance are proposed. Theoretical analysis and experimental results both show that, from local to global, the NLB-RP can effectively balance and reduce the load of nodes without introducing extra repair cost. Compared with the RP, the load variance of the NLB-RP is zero, that is, the load of each node is the same. Thus, the proposed NLB-RP has the optimal load balance.关键词：big data;distributed storage;erasure code;repair pipelining;load balancing44|76|1更新时间：2025-07-16
- 摘要：For outlier detection difficulty of data sets with complex distribution and various types of outliers, a new outlier detection method based on reversed k-nearest neighborhood MST of relative distance measure is proposed. Firstly, relative distance of object is defined with the combination of classical distance, local density and neighborhood of object, which can be used to detect global outliers and local outliers both. Secondly, on basis of minimum spanning tree structure, by tactics of maximum-edge-cutting, outliers and outlier clusters can be obtained. Finally, experiments of synthetic and UCI data sets show that the new algorithm is much more correct and effective. It is a new effective way for detecting outliers of data sets with abnormal distribution and diversity outlier types.关键词：outlier;outlier cluster;reversed nearest neighborhood;MST(minimum spanning tree);relative distance metric127|116|7更新时间：2025-07-16
- 摘要：Aiming at the problem that multi-link faults in elastic optical networks affect the performance of virtual optical network mapping, a method of link Reliability-Aware Protection-differentiated Virtual Optical Network Embedding (RA-PVONE) is proposed in the paper. In the RA-PVONE, an importance evaluation criteria and priority mapping method of optical nodes are designed. According to the available spectrum resources and link failure probability of candidate optical paths, the link cost updating formulas for working and protecting optical paths are designed to map the virtual link. Protection optical paths sharing spectrum resource is only configured for working optical path that do not meet the virtual link's reliability requirements. The simulation results show that the proposed method can reduce the network bandwidth blocking probability, improve virtual network acceptance ratio and the spectrum resource utilization.关键词：elastic optical networks;virtual network mapping;reliability-aware;protection-differentiated;multiple link faults;bandwidth blocking probability58|87|0更新时间：2025-07-16
- 摘要：Distributed drive electric vehicles (DDEV) adopts in-wheel motor, which makes each wheel independently controllable. DDEV has advantages such as the diversified adjustment modes. Reasonable in-wheel motor torque distribution is a key factor to guarantee the stability of DDEV. In this paper, the relationship between in-wheel motor torque distribution and stability of DDEV is analyzed, and a model predictive controller-based in-wheel motor torque control system is proposed to improve the stability of DDEV. The proposed control system consists of two parts, including the upper controller and the lower controller. In the upper controller, a raguel function-based model predictive controller is designed to obtain the optimal torque distribution scheme,by analyzing the constraints of in-wheel motor torque comprehensively. The lower controller implements the optimal torque distribution scheme of the upper controller in real time. Finally, the simulation under the Matlab/Simulink is implemented.关键词：distributed drive;stability;in-wheel motor;torque distribution;model predictive control76|59|3更新时间：2025-07-16
-
The Research of Neural Oscillation Mechanism During the Brain Cognitive Processing of Task Switching
摘要：Task switch is an efficient experiment to evaluate human's cognitive flexibility in which task cuing can effectively measure the cognitive process of task switching. In order to deeply study the cognitive process, we design the task cuing where the ratio of cue and target is 1:8. The neural oscillation of task switching was studied by combining event related potentials (ERP) and time-frequency analysis including event-related spectral perturbation (ERSP), inter-trial phase coherence (ITPC), event-related phase cross coherence (ERPCOH) in this paper. For P200, the experiment result shows that the neural oscillation has phase synchronization between prefrontal cortex and posterior partial cortex and the phase angle of posterior partial cortex lags behind prefrontal cortex, indicating that the brain completed task rule retrieval and P200 reflects a top-down process driven by prefrontal cortex. For P300, the research results of theta band oscillation distribution show that the brain activation in the cue switch was significantly greater than in the cue repeat. Meanwhile, the power of theta band oscillation was mainly distributed in the posterior partial cortex, which shows that theta band oscillation is related with the reconfiguration and update of task set. The above findings provide a new way to reveal the neural oscillation mechanism of brain cognitive flexibility, which helps us to understand the cognitive process of task switching.130|83|0更新时间：2025-07-16 -
Visual Recognition of Chinese Traffic Police Gestures Based on Spatial Context and Temporal Features
摘要：According to the need for driver assistance systems and intelligent vehicles to quickly and accurately identify traffic police command gestures, the articulated features of traffic police gesture is firstly analyzed, and a model based on the key points and skeletons of the police gesture is established. Secondly, the convolutional posture machine (CPM) is introduced to extract the key points of the traffic police gesture. Then the relative lengths of the gesture skeletons and the angles between each skeleton w.r.t. gravity are extracted as the spatial context features of the traffic police gesture. Meanwhile, long-term memory (LSTM) is introduced to extract the temporal features of traffic police gestures. Finally, the Chinese traffic police gesture recognizer (CTPGR) based on CPM and LSTM is designed, and a two-hour traffic police gesture video is recorded to train and verify the CTPGR. Experimental results show that the CTPGR is capable of recognizing traffic police gestures with high accuracy, and is fast enough for online gesture prediction.关键词：traffic police gestures;gesture recognition;convolutional pose machine;long short term memory;feature extraction86|119|2更新时间：2025-07-16 - 摘要：The spatial generalized fuzzy c-means clustering algorithm (GFCM_S) is a popular technique for image segmentation, but it is not so effective when the image has the features of unequal cluster sizes or the initial cluster centers we choose are improper. In this paper, for solving the above shortcomings of GFCM_S, a novel algorithm incorporating chaos optimization and improved fuzzy c-means (CIGFCM_S) is proposed. Firstly, each size of clusters is integrated into the objective function of GFCM_S so as to equalize the contribution of larger and smaller clusters to the objective function. Secondly, the iteratively membership degree and cluster centers are deduced by the Lagrange multiplier method. Thirdly, a new iterative strategy is used to seek the optimal solutions. In detail, the optimal solutions of next generation are searched by two-paths, one path originates chaos optimization and the other is obtained by updating membership degree and cluster centers on the basis of current optimal solutions, and then the better solutions go to next generation until the end. Lastly, the non-destructive testing (NDT) images with the characters of unequal cluster sizes are used for experiments, the results show that the proposed algorithm has better segmentation accuracy and visual effects.关键词：image segmentation;chaos optimization;fuzzy clustering;unequal cluster sizes120|124|3更新时间：2025-07-16
- 摘要：To make the inpainted images better meet human eye visual requirement, this paper proposes a MRF image inpainting algorithm based on structure offset statistics and multi-direction features. On one hand, to better maintain structure coherence of the inpainted images, the degraded image is partitioned into structure and non-structure parts according to the edge features extracted by Curvelet transform, and the offsets between the similar patches are respectively counted. For each part a few dominant offsets are selected as the candidate labels according to their statistics. On the other hand, to better maintain neighborhood consistence between adjacent pixels, the energy function is constructed by incorporating multi-direction features. Experimental results show that the proposed approach outperforms several state-of-the-art methods.关键词：image inpainting;structure offsets statistics;multi-direction feature;Markov Random Field(MRF)29|89|2更新时间：2025-07-16
- 摘要：Performance of dynamic sparse recovery for streaming signals in time domain will degrade for the existence of blocking artifacts and unknown time-varying noise intensity. To solve the above problems, a robust sparse Bayesian learning algorithm for dynamic compressive sensing of streaming signals in time domain is proposed based on the framework of lapped orthogonal transform and sparse Bayesian learning. In addition to eliminating the blocking artifacts, the proposed algorithm handles dynamic sparse Bayesian learning problems effectively under conditions of unknown time-varying noise intensity, which has better robustness against existing sparse Bayesian learning algorithms for streaming signals. Though there are not many existing effective algorithms for compressed sensing of streaming signals, experiments show that the proposed algorithm has obviously larger reconstruction signal-to-noise ratio and higher success rates for reconstruction than existing recovery algorithms for streaming signals based on sparse Bayesian learning or L1-homotopy; also, the measurement number required for particular success rates is obviously less than that of the other two algorithms, the computation cost and running time is approximately the same with the existing sparse Bayesian learning algorithm.关键词：blocking artifacts;streaming signals;sparse Bayesian learning;dynamic reconstruction46|91|3更新时间：2025-07-16
- 摘要：Abstract-Refine is a relatively effective method in the field of software model checking, which has the advantages of high generality and efficiency. However, there is no framework for precise description and effective modular use or replacement of this method so far. This paper introduces a modular Abstract-Refine algorithm framework which analyzes and explains the structure of input program in fine-grained level. Also, this method modularly decouples Abstract-Refine algorithm from its sub-algorithms with the balancing operator, so that any modifications on sub-algorithms will not affect the upper level. Experiments verify that our approach can effectively implement modular decoupling of traditional algorithms, and will not impact the performance of original algorithms.38|71|0更新时间：2025-07-16
- 摘要：Audit is an important part of the supervision system of the Party and the state. It plays an important role in maintaining the national financial and economic order, improving the efficiency of the use of financial funds, promoting the construction of a clean government, and ensuring the healthy development of the economy and society. The advent of the era of big data has led to the innovation of audit technology and methods. The application of big data technology is the only way to achieve the goal of full coverage of audit. The construction of big data audit is the core technology engineering that affects the future development of audit. Firstly, this paper introduces the significance and development course of auditing informationization construction at present in China, summarizes the concept, characteristics and research status of big data auditing, summarizes, compares and analyses the related research of big data auditing technology in collection, storage, analysis and visual display, and probes into the problems faced by big data auditing. New opportunities, new challenges, and typical audit scenarios such as Blue Sky Security Plan, Precision Poverty Alleviation. Finally, the future trend of big data audit is prospected. The research on scientific issues in this paper originates from the interdisciplinary field and has distinct interdisciplinary characteristics. It aims to promote the development of interdisciplinary knowledge integration through interdisciplinary research, with a view to providing important reference and reference for relevant theoretical research.关键词：big data;audit;electronic data;informatization162|106|0更新时间：2025-07-16
- 摘要：Rate-distortion optimization (RDO) can effectively improve the compression performance for encoders, which is an important topic in video coding. In this paper, the Lagrange multiplier based RDO method is reviewed comprehensively from several aspects including independent RDO, dependent RDO, bit allocation for rate control, etc. First, an example is employed to explain how the constrained optimization problem is converted into an unconstrained optimization problem based on the Lagrange multiplier method, and the relationship between Lagrange multiplier and quantization parameter is analyzed according to relevant references. Second, the rate-distortion dependencies in the process of video coding are analyzed, and the dependent RDO methods presented in recent years are classified and discussed. Third, the effect of the rate-distortion dependencies on bit allocation for rate control is discussed. Finally, the features and performance of different RDO methods are tabulated for analysis and comparison, and the existing challenges and the research works deserving further exploration are presented.关键词：video coding;rate-distortion optimization;temporal dependency;spatial dependency;adaptive Lagrange multiplier99|97|5更新时间：2025-07-16
- 摘要：This paper analyzes the limited distance induced effects of measurement performance for GNSS anti-jamming arrays. In the case of fixed beam array, according to the conventional far field condition, when the distance between the antenna under test and the probe antenna is longer than 2D2/λ (D is the size of antenna aperture), the limited test distance has little effects of the main beam, however, the first null of the pattern is partially filled. In the case of adaptive array, the nulls are kept for the limited distance induced steering vectors of interferences will be compensated by adaptive weights. The gain except for the nulls has some changes, but the bias has no remarkable effects of average angular coverage for array gain. We claim that the capability of anti-jamming and the usability of the receiver will be kept, when the test distance meet the condition of minimized far field distance.关键词：satellite navigation;antenna array;anti-jamming;farfield measurement;limited test distance error45|97|2更新时间：2025-07-16
- 摘要：In order to optimize the efficiency of single-phase full-bridge inverter, a single-phase full-bridge soft-switching inverter is proposed. The auxiliary circuit is parallel with the load at the output end of the inverter. When the auxiliary circuit is in working state, the main switches on the bridge arm of the inverter can accomplish zero-voltage turn-on and zero-current turn-off so that the inverter can be generally used in the medium and small power field and high power field. The working process of the inverter in a switching period is analyzed. The experimental results on a 3kW prototype show that the switching devices achieve soft-switching,and the efficiency of the prototype reaches 99.1% at the rated power. Therefore, this topology is of great significance for optimizing the performance of single-phase full-bridge inverters.关键词：inverter;load;auxiliary resonant circuit;zero-voltage turn-on;zero-current turn-off125|145|0更新时间：2025-07-16
- 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