摘要:The traditional subspaces based visual trackers are prone to model drifting.To deal with this problem, we propose a robust visual tracking method based on principal component pursuit.The proposed method represents objects with subspaces spanned by multiple templates, and finds error components of target candidates via principal component pursuit.The optimal state parameters are estimated by the error components of object candidates in particle filter framework.To adapt to changes of object appearance and avoid model drifting, a template update method is proposed.The proposed method updates the template set using tracking result when the tracking result is very similar to the templates;otherwise, it updates the template library with low-rank component corresponding to the tracking result.The experimental results on several challenging sequences show that the proposed method has better performance than that of the state-of-the-art tracker.
摘要:Since vector sorting algorithms in color image morphology are not mature currently, some new color vector morphological operators on graph space possessing of complete lattice are defined, which are based on the binary and grayscale morphology.The proposed operators can effectively prevent the original image texture from changing and save the topology of the color images.Moreover, combined with graph theory, a minimum spanning vector subgraph function and related theories are defined to implement the operators, and the extremum extraction algorithm suitable for color vector morphology of graph space is presented.Experimental results show that the proposed operators have better performance in preservation of color image information integrity and relevance than the existing methods, and that the operators can overcome the shortcomings of false color and human-decision dominating color components, which have a broad development trend.
摘要:A method of moving target indication in single SAR(Synthetic Aperture Radar)imagery is proposed.First, a road detection method based on compressive sensing for single SAR image is presented, the fuzzy C mean method is used to classify the SAR image according to the road characteristics of the SAR images, and the road pixels are extracted.Then it shows how compressive sensing can be used to find lines in images, by exploiting sparseness in the Hough transform domain.Secondly, the moving targets are detected by a indication method based on sparse representation.In SAR image, different velocities of moving target lead to different defocuses and range cell migration.Based on this character, the over-complete dictionary of targets sample images with different speeds is constructed.Then the test SAR images are blocked into sub-images and the corresponding coefficients are calculated with the dictionary.According to the coefficients, moving target can be detected and the motion parameters can be estimated.Finally, the effects of Doppler ambiguity on motion parameters estimation are eliminated, and the false target and calibrate motion parameters are excluded.The results of experiments indicate the effectiveness of the proposed method.
摘要:Multiple unconstrained observations of the same object can be easily accessed by the Internet, with regard to overcoming the identification-difficult of the unconstrained samples.Moreover, to exploit the information of multiple observation sets to improve the classification performance, a multiple observation sets classification algorithm based on joint dynamic spare representation of low-rank decomposition is presented.First of all, we need find the best set of image transform domain, which decomposes the data matrix into a low-rank matrix and an associated sparse error matrix.Secondly, the low-rank matrix and sparse error matrix is represented by joint dynamic sparsity respectively, in order to make full use of the correlation of the class-level and the differences of the atom-level, i.e, the sparse representation vectors for the multiple observations can share the same class-level sparsity pattern while their atom-level sparsity patterns may be distinct.Finally, we compare the classification results with the total sparse reconstruction errors.Three comparative experiments are conducted on CMU-PIE face dataset, ETH-80 object recognition dataset, USPS handwritten digit dataset, and UMIST face dataset, and the results demonstrate the superiority of the proposed algorithm.
摘要:In many self-healing key distribution schemes, the size of sliding window affects both the self-healing capability and the communication overhead.With probability knowledge, the mathematical model is built, which reflects the influence of the size of sliding-window and packet loss rate on the performance of key synchronization, group security association and security service.Then, an adjustment mechanism of sliding window is proposed to adapt to the dynamic change of broadcast links, and a look-up table is utilized to reduce the computation and storage overhead.Simulation results show that the scheme proposed is dynamically adaptive, and guarantees the performance of security service with high probability.Compared with the existing schemes, the proposed scheme greatly reduces the communication overhead, and is more feasible and efficient.Meanwhile, it further promotes the application of self-healing key distribution.
关键词:Wireless sensor networks;self-healing key distribution;sliding window;dynamic links;packet loss rate;self-adaptive
摘要:To reduce test time and test cost for pre-bond and post-bond test of three dimensional embedded cores, this paper proposed an optimization method based on span and virtual layers for wrapper scan chains in three dimensional embedded cores.Firstly, the proposed technique made the number of wrapper scan chains in high layers and low layers as equal as possible by maximizing the span of wrapper scan chains.Then, under the constraints of TSVs(Through Silicon Vias)number, the scan elements contained in virtual layers were assigned to wrapper scan chains layer by layer, which effectively balanced the length of pre-bond and post-bond wrapper chains.Experimental results show the presented methodology can greatly reduce the pre-bond/post-bond test time and hardware overhead for three dimensional embedded cores.
摘要:High order quadrature amplitude modulation (QAM) can improve spectral efficiency effectively, but it is very sensitive to phase errors.An asynchronous double layered modulation format is proposed to achieve nearly the same spectral efficiency as conventional high order QAM but with lower modulation orders in transmitter and lower sensitivity to phase errors.A closed-form formula for the symbol error rate (SER) of the proposed asynchronous double layered QAM format together with conventional QAM format is derived under flat Rayleigh block fading channel at fixed phase errors.Both the theoretical analysis and the simulation results show that the performance degradation of the proposed asynchronous double 256-QAM format is just 0.3 dB at the SER of 10-1 as the phase error increased from 0 degree to 0.9 degree.In contrast, the performance degradation of the conventional 4096-QAM format is up to 11 dB.
摘要:The coverage is a fundamental problem in wireless sensor network field, and it is also one of the important problems for wireless sensor network characteristic.How to use the minimum nodes to monitor the effective zone is currently an important research topic.Therefore, an enhanced coverage control algorithm(ECCA) is proposed.This algorithm employs the theory of probability to find out the minimum number of the effectively covered nodes in the monitored zone.It presents the computation method for the expectation value of probability of the sensor nodes and the solution of the expectation values for the initial coverage and is covered by many a time.The proportion relation under the condition that the random variables are not independent is proven.Simulation results show that ECCA algorithm can effectively cover the monitored zone with few nodes, which improves the coverage quality of the monitored zone.
关键词:wireless sensor network (WSN);probability model;coverage control;coverage probability
摘要:There are some shortcomings in the existing target height compensation algorithms, such as unreasonable model assumptions and unstable application effect.To avoid these defects, the problem of tracking the aerial target in 3-D space with a 2-D radar was restudied under the assumption that the target flights at a constant speed and a fixed altitude and the radar can obtain the indication information of the target from other collaborative detect units.First, on the basis of the transformation relation between different coordinates, an exact formula of the target height was deduced.Then utilizing identical transformation and reasonable approximations, an approximate estimation formula of the target height was derived.And the error in the formula was calculated using absolute value inequality and Cauchy-Schwarz inequality.At last, combining the original measurement equation of the 2-D radar with the target height estimation equation and using extended Kalman filter, the target space state was estimated.The simulation result shows the proposed algorithm can effectively compensate the target height information and obtain the stable and reliable estimation of the target space state, which can be used in the actual projects as the effective and perfect method for the target space state estimate problem of the 2-D radar.
关键词:target indication;2-D radar;target height compensation;state estimate in 3-D space
摘要:By employing the maximum correntropy criterion(MCC)based cost function in projection approximation subspace tracking(PAST)algorithm, we deduce the MCC_PAST algorithm which can be utilized for the projection approximation subspace tracking under impulsive noise environments.We examine the performance of our proposed algorithm in the time-varying DOA(Direction Of Arrival)estimation problem under two types of impulsive noise environments, including the alpha-stable noise environments and the contaminated Gaussian noise environments.By adjusting the kernel parameter adaptively in the algorithm, MCC_PAST exhibits superiority over the robust M-estimate based PAST algorithm, especially when there are sudden changes in the array outputs.
摘要:Because a monopulse ratio is distorted and a Doppler mismatch may occur, the performance of the existing space-time adaptive monopulse angle estimation is degraded severely.This paper gives mathematical analysis of the failure mechanism of the conventional space-time adaptive monopulse method.In view of the space-time coupling characteristic of airborne radar clutter, this paper expands a constraint for difference beam to a space-time domain.A novel space-time adaptive monopulse angle estimation approach based on the space-time joint constraint is proposed, and a monopulse curve is extended to a monopulse surface.The accuracy and robustness of angle estimation are improved by the space-time joint constraint.Simulation results verify the validity of the novel method.
摘要:Microbial fuel cells (MFCs) are considered as a promising alternative renewable energy source because of its power generation and wastewater treatment performance.The power generation performance of aquatic microbial fuel cells (AMFCs)is verified, and the applications of AMFCs are approved.However, the application range is limited for AMFCs because of the water environment they need.Terrestrial microbial fuel cells (TMFCs) can overcome the shortcoming and expand the application areas of MFCs.A TMFC reactor is proposed and the structure and inoculation procedure are presented.The power generation performance of the proposed TMFC is tested.The open circuit voltage (OCV) is about 0.75V and the output power density is about 3mW/m2, which are normal values in the previous researches of AMFCs.The relationship between environment temperature, soil water content and the output power density of the proposed TMFC are tested by experiments.Experimental results show the effects of the TMFC power generation performance by environmental factors.The results will contribute to improving the power generation performance of TMFCs.
摘要:We propose a single image dehazing method based on scene depth constraint.Firstly, the initial degradation model is transformed to meet the Kimmel's variational model.Then, considering the sensitivity of the cone in human's retina to the green light, we use it as an input of the variational model of the atmospheric transmission map.Finally, in the 8-neighborhood fast solving we constrain the energy function by scene depth, so as to improve the visual effect of the result efficiently.Experiments demonstrate that the proposed method can effectively remove fog, provide good practicability and take less memory consumption.
关键词:image dehazing;degradation model;scene depth;variational model
摘要:Using the chirp Fourier transform which is the working mechanism of the compressive receiver, the most important construction "long-multiplication, short-convolution" is analyzed in edge frequency and non-complete intercept.By ambiguity function, the output waveform of this receiver is set up in this situation.The parameters of output waveform are discussed, which are the output pulse-width, output peak time delay, and output peak value loss.Then the performance of frequency detection by these parameters is deduced, including frequency coming time, frequency resolution and intercept probability.
关键词:frequency detection;compressive receiver;chirp;ambiguity function
摘要:According to the characteristics of vehicular networks, this paper presents a identity-based signcryption scheme using the bilinear pairings and proves its security in the random oracle model.The proposed scheme is proved to be secure assuming that the Bilinear Diffie-Hellman problem is hard.Compared with the existing identity based signcryption schemes, the new scheme has lower computation cost and communication overhead.It is suitable for secure communication of vehicular networks.
关键词:vehicular ad hoc networks;identity-based signcryption;bilinear pairing;provable security
摘要:Compressed sensing (CS), which captures and represents compressible signals at a sampling rate significantly below the Nyquist rate, serves as a new framework for signal sampling and reconstruction based on signal sparsity or compressibility.CS has a good application prospect in remote sensing imagery.In order to improve the efficiency of infrared remote sensing video, the infrared remote sensing video staring imagery based on compressed sensing online sparse is proposed.We introduce the block compression sampling strategy for video, and present the online sparse method and video reconstruction method.The online sparse approach for the motion objects in video is focused on.The iterative block training samples and the accumulation redundant dictionary is designed.Experimental results are presented to show that the infrared remote sensing video reconstruction effect is improved by this method.
摘要:To overcome the problems of the illumination and pose variations in image recognition, the algorithm of Gaussian mixture sparse representation for image recognition based on dictionary learning and Gabor features is proposed.Based on the maximum likelihood estimation principle, a mixture Gaussian sparse coding model is proposed to express the discriminating items to the maximum likelihood function of residuals, so the problem of identification is converted to the optimal weighted norm approximation problem.This approach extracts the Gabor features of the images by the Gabor filter, and then uses the Gabor features to learn a new dictionary.As the Fisher criterion is added in the learning process as a constraint, a new dictionary with category labels can be obtained.Finally, the method of Gaussian mixture sparse representation is used for classification and identification.The experimental results in three public databases demonstrate that the algorithm proposed is effective and robust.
摘要:In order to reduce visually inconsistent results caused by sudden change of pixel values between patches, a novel image completion method based on dynamic-scale patch matching and layer-wise optimization was proposed.During patch searching, the number of candidate patches for the current layer was calculated through the analysis of prior knowledge and structure features;meanwhile, a multi-scale patch searching model was given to obtain the best candidate patches.Those patches constituted the feasible solution space for image completion.With the intrinsic characteristics and relevance of adjacent patches taken into consideration, image completion was abstracted as a chain optimization problem.The layer-wise chain optimization model was established and solved through dynamic programming.The optimal patches for the current layer were obtained and the image was repaired from the outside to the inside layer by layer.Experimental results demonstrate both the effectiveness and efficiency of the proposed algorithm for various natural images.
摘要:In order to improve the effects of head movements on gaze estimation, this paper proposes a gaze estimation method based on normalized eye image.The proposed method is built on the installation of one infrared camera and three infrared light sources.We utilize the image of three light spots, which are the reflections of lights on cornea surface, to transform original eye image into the normalized one.By introducing normalized eye image, the projective transformation from screen plane to normalized eye image plane is constant.Consequently, the transformation from the pupil center in a normalized eye image to the viewpoint on the screen is fixed.Therefore, the effects caused by head movements can be eliminated.Experimental results demonstrated the effectiveness of the proposed method under various conditions of head movements.
摘要:To extract compact and distinctive information from images filtered by Gabor kernels, we propose a variable length dominant feature (VLDF) based algorithm for face recognition.Specifically, the face image is first convolved with Gabor filters of different scales and different orientations, and then the texture information is extracted from the Gabor responses using local binary pattern(LBP).Based on the statistical characteristics of the pattern distribution, the variable length dominant feature (VLDF) is derived.Finally, the distance between two VLDFs is constructed.VLDF has a lower feature vector dimensionality and a higher rank-1 recognition rate.The experiments on FERET database verify the high efficiency of the proposed algorithm.
摘要:In order to analyse the effect of the modulated nonlinear error on 1-dimension focusing and accurately correct this error for FMCW(Frequency Modulated Continuous Wave)SAR(Synthetic Aperture Radar), a high order error model of VCO(Voltage Controlled Oscillator) modulated non-linearity is introduced to deduce and quantitatively analysis in theory the specific effect of the modulated nonlinear error.A nonlinear correction method for FMCW SAR based on open-loop is proposed on the premises of the stability of the VCO and low electricity shift varying with time.Taking the signal's compression index as the optimal convergent rule, the method corrects the signal's modulated nonlinear error first by one-off compensation for harmonic wave error, and second by correcting the high-order swing error caused by the input voltage update, the electronic shift of VCO by iteration and the thermal noise.The simulation of the signal and the process of the real data indicate that the method can solidly and effectively corrects the modulated nonlinearity error of FMCW SAR signal source.Compared with the traditional software correction based upon open-loop, this new method can correct the nonlinear error without complicated error model and also it has the advantages of simpleness, lower cost and less computation.
摘要:Passive optical network(PON), as the major technology solution of the access network, provides higher bandwidth utilization efficiency, supports for farther transmission distance and has the stronger anti-interference capability than the traditional access network technology.According to the development of PONs, this paper firstly summarizes the background and features, sorts out relationship and main standards.Secondly, the frame structures of various PONs are introduced and a noble table containing the main parameters of PONs is presented.Based on the current hot spots of researches at home and abroad, the overview is focused on the media access control protocols, frame structures, dynamic bandwidth allocation algorithms, energy saving, and so on.Finally, we show the idea about the future development trends of PONs.
摘要:Due to the rapid advancements in 3D video technologies, 3D quality of experience (3DQoE) assessment for 3D video networking service attracts the researchers' attention in both academic and industry world.The contribution factors of 3DQoE in the end-to-end processing chain are analyzed.The 3D video/image quality based 3DDoE evaluation methodologies and the current research progresses in 3DQoE modeling are reviewed.Based on the analysis of the current research status of 3DQoE assessment and modeling, we point out the inadequacies in accuracy, reliability and universality of the current 3DQoE assessment and modeling research, and indicate that 3DQoE model towards massive networking service is possibly the future research direction.
关键词:3D quality of experience model;3D video/image quality assessment;3D video service
摘要:Spiking neural networks are shown to be suitable tools for the processing of spatio-temporal information.However, due to their intricately discontinuous and implicit nonlinear mechanisms, the formulation of efficient supervised learning algorithms for spiking neural networks is difficult, which is an important problem in the research area.In this paper, we introduce the general framework of supervised learning algorithms for spiking neural networks, and analyze their performance evaluations including spike trains learning ability, offline and online processing ability, the locality of learning mechanism and the applicability to network structure.Furthermore, we survey the advance of the research on supervised learning algorithms, which can be divided into three categories according to their differences:gradient descent rule, synaptic plasticity rule, and spike trains convolution rule.Finally, we discuss the advantages and disadvantages of these algorithms, and prospect the problems in current research and some future research directions in this area.
摘要:Timing mismatches in time-interleaved ADCs (TIADC) greatly degrade the spurious-free dynamic range (SFDR) of this system.For calibrating timing mismatches, based on the spectra relation between the analog input signal and the output signal of the TIADC system, a blind timing mismatch calibration algorithm is proposed by eliminating the error signal in the output signal.By expanding the frequency expression of output signal in Taylor approximation, this algorithm can construct the ideal output signal.By introducing least mean square (LMS) for estimating timing mismatch, this proposed algorithm is aimed at reducing the complexity of hardware and improving the accuracy of calibration algorithms.Experiments show that this algorithm can easily extend to an arbitrary number of channels and improve the SFDR of the output signal about 47dB.
关键词:time-interleaved analog-to-digital converter (TIADC);timing mismatch;least mean square (LMS)
摘要:In this paper, we propose a height estimation algorithm based on visual multi-object tracking.Firstly, the foreground is detected by using codebook modeling algorithm, and multi-object tracking is performed by using graph cuts.Then, the head feature points and the feet feature points of objects are extracted in each frame, and the height of every object is computed according to projective geometry constraint.Finally, data optimization is performed by fusing multi-frame measurement results.This method does not require full camera calibration, but require computing the vanishing point of camera and the vanishing line of ground.Using this method, the computational complexity can be reduced.The experimental results demonstrate that our method has higher measurement accuracy, and is robust to occlusion and the changing of motion state.Meanwhile, it can also achieve real-time performance.
摘要:In a multicell scenario, two improved competitive beamforming design schemes are proposed to maximize the worst SINR in each cell for downlink transmissions.One is the competitive design with interference control.We use different interference control factors to suppress the inter-cell interference.The other design is the competitive design with power control.We adjust the power of each base station (BS) to improve the system performance.Both the two improved designs keep the distributive nature of the competitive design and improve the worst SINR of the system.Simulation results show that the competitive design with power control outperforms that with the interference control when the transmit power increases.
摘要:A novel of modeling service behavior is proposed for the web services based on the ontology, which presents a consistency relationship among the service behavior provided by a web service, the expected service behavior requested from the user, and the interactive service behavior between different web services in a service composition semantically.The model can determine whether the service behavior is consistent with user's anticipation or not.We used an existing swatch of web services to analyze the capability of the proposed method.
关键词:web service behavior;service discovery;service composition
摘要:To prolong the worktime of the video capsule endoscopy and improve the quality of the video, lowering the power of the embedded radio circuit module inside the capsule is needed, which helps improve the radio effect.The embedded radio circuit module and helix antenna inside the endoscopy are designed, ADS2011 and HFSS are applied in simulation, and finally the experiments validate the design.The high quality video after the video capsule endoscopy entered the gastrointestinal (GI) tract of the live animal (pig) validated the feasibility of the design.The result indicates that the worktime of the endoscope is 9.0 h and the wireless transmitting rate reaches 30 frame/s (320 × 240 pixel/frame) when the diameter of transmission circuit board is 9.8 mm, work frequency is 1.0 GHz, and power is 15.9 mW.
摘要:In order to study the electromagnetic radiation performance of enclosure with apertures, not only the electromagnetic leakage caused by apertures, but also the electromagnetic radiation performance of PCB should be considered.In this paper, a new method of importing electromagnetic energy of PCB into enclosures as the interference source was developed and compared with the coupling microstrip method.Based on the method considering PCB as the interference source, the relationship between the aperture size, type and location with the electromagnetic radiation performance were intensively studied.Some conclusions were obtained and they can be helpful guidelines for electronic equipment design.
关键词:interference source;PCB;enclosures with apertures;electromagnetic radiation performance
摘要:In order to solve particle degeneracy problem, we present an improved particle filter algorithm based on unscented Kalman filter and partial resampling algorithm.By using unscented Kalman filter to generate importance distribution function and partial resampling algorithm to resample particles, the method enriches the diversity of the particles.Furthermore, to solve the problem which likelihood detection statistics is obtained with difficulty in typically nonlinear and non-Gaussian, a fault diagnosis method based on the multiple model and the likelihood is proposed.Simulation results show the precision of the presented filter algorithm outperforms that of the standard particle filter and the improved particle filter existed in the filter system, and the proposed fault diagnosis method can detect fault quickly and isolate accurately.
摘要:In order to improve the late-time stability of the marching-on-in time (MOT) method, the approximate prolate spheroidal wave functions (APSWFs) are proposed and used as the temporal basis functions.Unfortunately, the system derived from these temporal basis functions is noncausal.To overcome this problem, the extrapolation scheme should be included to recover the possibility of time marching.Then, in the numerical simulations of multi antennas, several important parameters such as the transient surface current responses, return-loss, coupling coefficients, and directivities are obtained.Based on these parameters, the analysis of the radiation and mutual coupling problems is performed.Moreover, numerical results also demonstrate the efficiency and accuracy of the proposed method.