摘要:Hep-2 staining pattern classification is used for immune disease diagnosis.Due to the influence of imaging environment and the visual characteristics of cell images,the recognition accuracy of reported methods are still unsatisfied.A novel feature suitable for HEp-2 staining pattern classification is proposed.After constructing serial smoothing images with Gaussian scale parameter,the description ability of shape index is used to describe second-order image structure,moreover,the space structure can be presented by multi-threshold image segmentation.The proposed approach was tested in ICPR and SNPHEp-2 datasets by 2-flod cross validation in cell level,and achieved 89.83% and 87.49% accuracy for the two datasets respectively.Moreover,in 28 fold cross validation test of ICPR,the method achieved 60.5% and 70.56% accuracy in cell level and image level respectively.Experimental results show that the proposed method is superior to other popular texture descriptors,such as LBP and CLBP,and approximate to the performance of CoALBP feature.
摘要:The magnetoencephalography (MEG) inverse problem refers to the reconstruction of the neural activity of the brain from MEG measurements.A method to solve the MEG inverse problem employing temporal smoothness constraint is proposed under the assumption that time course of the source is smooth in time.Specifically,the temporal smoothness of the source was ensured by imposing a roughness penalty in the minimum norm estimate (MNE) data fitting criterion in the form of dual-parameter regularization.To select two tuning parameters,the generalized cross-validation criterion (GCV) was used.The inverse solutions were obtained as the linear combination of the one-parameter regularized solutions.We evaluated the proposed method by a synthetic example and a real data example.Compared with MNE,the proposed method can get smaller overall mean squared error (MSE) and smaller curvature variability.Moreover,the proposed method can reconstruct the shape of the time course of source better.
关键词:magnetoencephalography (MEG) time course;inverse problem;two-parameter regularization;temporal smoothness
摘要:Traditionally,the receiver autonomous integrity monitoring (RAIM) algorithm such as parity vector method for identifying two-faulty satellites based on identification threshold led to not only higher missed detection rate but also higher false alarm rate and fault counteraction,which decreased the correct identifying ratio.Therefore,an improved RAIM algorithm was proposed.On the basis of parity vector method,the improved algorithm constructed a faulty feature plane,and faulty satellites were identified by the geometry relationships between the plane and the proposed parity vector.These made the algorithm immune to the problem of high identifying threshold and improved the identifying ratio.Semi-physical simulation results indicated that the correct identifying ratio of the proposed algorithm reached 90%,and the performance was improved compared with the traditional algorithm.
摘要:Non-rigid image registration plays an important role in computer vision and medical image.Demons algorithm has been proved to be effective for non-rigid image registration;however,the existing Demons algorithms are limited in registration image for intensity uniformity or weak textile region,which always results in low registration accuracy and efficiency.Aiming at the problem,this paper applies R-L(Riemann-Liouville) fractional differentiation to active Demons,and proposes a new image registration based on fractional differentiation active Demons.In this paper we calculate image gradient using R-L fractional differentiation instead of the traditional gradient function,not only detail feature is strengthened but also image gradient of intensity uniformity and weak textile area is enhanced,thus registration accuracy and efficiency are improved.Additionally,we give the relation curve between registration accuracy and mask parameters,which can guide one to select optimal parameters.Though optimal parameter (order) is different for different images,it is proved the optimal interval is between 0~1.Theoretical analysis and experiment results show the effectiveness of the proposed method.It is a significant extension of Demons algorithm.
关键词:Riemann-Liouville;fractional order gradient;active Demons algorithm;non-rigid registration
摘要:This paper takes the Alpha stable distribution as the noise model and studies the problem of bistatic multiple-input multiple-output (MIMO) radar system in the impulsive noise environment.Since the conventional algorithms degenerate severely in the impulsive noise environment,this paper proposes a novel method of wide-band ambiguity function based on the fractional lower-order statistics (FLOS-WBAF).Firstly,Doppler stretch and time delay are jointly estimated by peak searching the FLOS-WBAF.Secondly,two sub-array models are constructed based on the FLWBAF.Furthermore,two modified algorithms are proposed for the estimation of DODs and DOAs,including the fractional lower-order wide-band ambiguity function based on MUSIC algorithm (FLWBAF-MUSIC) and the fractional lower-order wide-band ambiguity function based on ESPRIT algorithm (FLWBAF-ESPRIT).Simulation results are presented to verify the effectiveness of the proposed method.
摘要:Automatic building extraction from high spatial resolution remotely sensed imagery can accelerate the update process for urban basic geographic database.One problem of building extraction methods is the difficulty of extracting the precise building contour.This article proposes an approach to recognizing and extracting buildings from high resolution remotely sensed imagery based on shadows and graph-cut segmentation.Firstly,shadows were detected by using potential histogram function.Then,candidate segmentation objects were selected from the result of graph-cut segmentation with the constraint by integrating aspect ratio and rectangularity.At last,shadows were processed with open,dilate and corrode operations respectively,while buildings and their exact boundaries were extracted with adjacency between processed shadows and candidate segmentation objects.For verifying the validity of the proposed method,six sub-images were chosen from PLEIADES images.Experimental results show that the average precision and recall of the proposed method are 92.31% and 74.23% respectively.
摘要:Living-consumption platform has become a very important platform for customers to extract information of businesses,and view or submit comments on the quality of services or products.It is common that fake reviews,as a commercial activity,are used to exaggerate or damage the reputation of a target business,which is extremely harmful.This paper chose an O2O (Online To Offline) platform,from which reviews are derived,to study fake reviews.With an in-depth study on features of fake reviews,it raised the user-credibility and shop-credibility evaluation model respectively from the credibility perspective.Based on features of reviewers,businesses,and review texts,it established a fake review identification model,and through testing this model showed excellent performance in identification.
关键词:machine learning;fraud review detection;credibility model
摘要:A new type of monopole pin antenna array model based on an artificial magnetic conductor (AMC) structure is proposed in this paper,which will be potentially used in a wireless intra-/inter-chip (WⅡC) communication system.The PCB substrate is FR4 with the thickness of 3mm and its square area is 50mm by 50mm.On the PCB center,the four monopole antennas for four chips are mounted at the four corners of a square with dimensions of 15mm×15mm.The pin antennas are made of copper with the length of 2.6mm and the diameter of 1.5mm.A periodical AMC copper plane is embedded above the lower PCB plane.The four monopole antennas form a four-port network.Based on this WⅡC prototype simulation and prediction,its actual circuits are fabricated and measured.It is found that from the measurement the -10dB bandwidth of the return loss S11 ranges from 13.02GHz to 15.73GHz for this proposed antenna array.At 14.22GHz the magnitude of S11 reaches the minimum value of -27.25dB,and the measured S21,S31,S41 are -26.26,-19.23,and -21.14dB,respectively.In comparison to the antenna array without an AMC,the scattering parameters are improved effectively.The S11 is enhanced about 3.63dB and S21,S31,and S41 increase 2.05,7.21,5.28dB,respectively.Consequently,it is demonstrated that the embedded AMC structure in the PCB dielectric can significantly improve the signal voltage transmission coefficients between monopole antennas and increase the signal power transmission gains.
关键词:artificial magnetic conductor;wireless intra-/inter-chip connection;monopole antenna;scattering parameters;power transmission gain
摘要:The miniaturization of gain equalizer has been becoming the main tendency of theequalizer's research and development.This paper designs a half mode substrate integrated waveguide (HMSIW) equalizer which has seven layers structures and multiplecascaded substructure units,and the resonant unitsand transmission line distribute at three-layers dielectric substrates,working at Ku waveband.The transition design of multimicrostrip line segments impedance matching is proposed and the dominant mode of HMSIW resonant cavity is gotten based on coordinate transform theory.The design method is summarized.Compared with microstrip equalizers,this structure has higher Q-factor and lower loss.What's more,with the use of absorbing pillar arrays,the attenuation and Q value can be easily tuned;test result shows that it has smaller size than the traditional cavity equalizers with the same performance,the measured curve and simulation curve are in good agreement,and the maximum error is 0.6dB.The output gain fluctuation of TWTA is less than ±0.4dB with the equipped HMSIW equalizer.
摘要:The purpose of supervised learning with temporal encoding for spiking neurons is to make the neurons emit arbitrary spike trains in response to given synaptic inputs.However,due to the discontinuity in the spike process,the formulation of efficient supervised learning algorithms for spiking neurons is difficult and remains an important problem in the research area.Based on the definition of kernel functions for spike trains,this paper proposes a new supervised learning algorithm for spiking neurons with temporal encoding.The learning rule for synapses is developed by constructing the multiple spikes error function using spike train kernels,and its learning rate is adaptively adjusted according to the actual firing rate of spiking neurons during learning.The proposed algorithm is successfully applied to various spike trains learning tasks,in which the desired spike trains are encoded by Poisson process or linear method.Furthermore,the effect of different kernels on the performance of the learning algorithm is also analyzed.The experiment results show that our proposed method has higher learning accuracy and flexibility than the existing learning methods,so it is effective for solving complex spatio-temporal spike pattern learning problems.
摘要:Fully homomorphic encryption provides a new idea on the solution of many problems,such as the whole life cycle of data privacy protection on cloud computing.Currently,the existing fully homomorphic encryption schemes share a common flaw of large size public keys.We construct an identity-based fully homomorphic encryption which compromises the merits of both kinds of encryption from ring learning with errors to work in arbitrary cyclotomic rings.To make user's identity as the unique public key,our scheme has advantage in computational efficiency and key management.The security of our scheme strictly reduces to hardness of decision ring learning with problem solving in the random oracle model.
关键词:fully homomorphic encryption;identity-based;ring learning with errors
摘要:With the development of remote sensing technology,the size of terrain is growing rapidly,and far beyond the scope of main memory,has become an urgent problem.Data compression is a popular technology to increase system throughput.With the rapid development of GPU(Graphics Processing Unit) technology,the traditional compression algorithms cannot take full advantage of the ability of the current GPU.In this paper,we propose a GPU-based terrain data compression method,and achieve a high rate compression of terrain height field and location.Comparing to other algorithms,the main contribution of our algorithm is that the compression of terrain height filed and position is executed in the same time,and all the information of a node can be calculated according to the presentstrip.For terrain height domain,we firstly make Bezier curve approximation,then save the difference.After the steps above,we can achieve high compression ratio.By comparison with traditional methods,we get reasonable experimental results.
关键词:data compression;terrain rendering;graphics processing unit (GPU)
摘要:An improved cooperative QPSO algorithm with adaptive mutation based on entire search history (ESH-CQPSO) is proposed.The proposed algorithm employs a binary space partitioning tree structure to memorize the positions and the fitness values of the evaluated solution.The cooperation mechanism between the solutions can ensure enhanced search capabilities,improve the optimize performance and prevent premature convergence.Benefiting from the space partitioning scheme,a fast fitness function approximation using the archive is obtained.The approximation is used to improve the mutation strategy in ESH-CQPSO.The resultant mutation is adaptive and parameter-less.Compared with other traditional algorithms,the experiment results on standard testing functions show that the proposed algorithm is superior regarding the optimization of multimodal and unimodal functions,with enhancement in both convergence speed and precision,which demonstrate the effectiveness of the algorithm.
关键词:quantum-behaved particle swarm optimization(QPSO);entire search history;adaptive mutate;binary space partitioning;cooperative method
摘要:The domain adaptive learning algorithm using kernel logistic regression model is proposed.The proposed approach use kernel canonical correlation analysis to extract the maximum relevant features of the source and target domain.We dub it as KCCA-DAML(Kernel Canonical Correlation Analysis for Domain Adaptation Learning,KCCA-DAML).Our algorithm is based on canonical correlation analysis,which simultaneously minimizes the incompatibility among source features,target features and instance labels,extract maximum relevant features from source features,target features and instance labels,and use kernel logistic regression domain adaptation learning.In experimental comparison of the kernel logistic model and KCCA-DAML model on source domain data,the target domain data,source and the target domain data,we demonstrate the power of our techniques with the following real-world data sets:Reuters 20 Newsgroups,MNIST handwritten-digits and UCI Dermatology.
关键词:domain adaptation;distribution discrepancy;correlation analysis;kernel logistic regression;regularization model
摘要:This paper deals with the target-detection issue that a high-resolution synthetic aperture radar (SAR)-ground moving target indication (GMTI) system under remote surveillance mode faces many challenges,i.e.,target-diffusing and low signal-to-noise ratio,and based on the fact that extended targets with conventional target detection methods based on the poin target cause decrease in detection performance,a Shape-Shadow-Aided Moving Target Detector(S2A-MTD) is proposed for extended target detection of airborne multichannel SAR-GMTI.First,the shaped information of a target is obtained when the residual image with adaptive clutter suppression clustered.Then,shadow-template matched with shaped information of a target is evaluated,which is based on the model of the geometric relationship on a moving extended target and its shadow.Meanwhile,according to estimative radial velocity,position-matched condition with shadow is generated.Finally,taking all the information in shape,position and amplitude of shadow into consideration is to eliminate false targets that not satisfy with matching conditions,so as to reduce false alarms.the simulation results show the validity that this method improves the detection performance of the extended target under low signal-to-noise ratio.
摘要:A discriminative segmental feature transform method is proposed to promote the stability of the frame based method.The feature transform is considered as the sparse high dimensional approximation problem.Firstly,a set of feature transform matrices are estimated by tied-state based training of RDLT (Region Dependent Linear Transform) and m-fMPE (mean-offset feature Minimum Phone Error),and the transform matrices are integrated into an over-complete dictionary.Then,the speech signal is segmented through force alignment.Finally,following the matching pursuit to optimize the likelihood objective function iteratively,the transform matrices of each segment are selected from the dictionary and the corresponding coefficients are automatic determined in the optimization process.Further,to guarantee the stability of the transform matrices,a correlation measurement is introduced to remove the correlated basis in the recurrence process.The experimental results show that,compared with the traditional RDLT method,when the acoustic model is trained with maximum likelihood and discriminative training criterion separately,the recognition performance can be improved by 1.63% and 2.23% respectively.The method can also be applied to speech enhancement and model discriminative training.
摘要:Program verification is the key technology to ensure the correctness of the program.However,due to essential differences of the classical and quantum world,classical program verification techniques and tools cannot be applied directly to the quantum system.Since quantum programming language is a new formal model of quantum system,the verification problem of quantum program is more urgent and necessary.We investigate the program verification for the reachable set and the terminating set of specific nondeterministic quantum program described respectively by bit flip channel,phase flip channel,depolarizing channel,amplitude damping channel and phase damping channel starting from computational basic states in quantum communication systems.Then,we combine pairwise the above five quantum programs into nondeterministic quantum programs,and merge these nondeterministic quantum programs into three nondeterministic quantum programs in terms of the similarities of the reachable set of five quantum programs,and discuss the problem for termination and divergence of these three nondeterministic quantum programs starting from computational basic states.The results shows that these three nondeterministic quantum programs starting from computational basic state 0 are terminated,while starting from computational basic state 1,the termination and the divergence of nondeterministic quantum program consisted by bit flip channel and depolarizing channel relates to the two parameters describing two quantum channels,the termination and the divergence of nondeterministic quantum program consisted by bit flip channel and phase flip channel relates to one parameter describing bit flip channel,and nondeterministic quantum program consisted by amplitude damping channel and phase damping channel is divergence without the two parameters describing quantum channel.And the results provide theoretical and technical support for verification of quantum communication protocol in quantum information security.
摘要:The implementation of the compressive sensing was studied in this paper.Because of the transmission delay and the pass band ripple,the measurement matrix in a real compressive sensing receiver was different from that in theory.These differences caused the reconstruction error when digital modulated signals were compressively sensed.A self-loop measuring method of the circuit dictionary basis and an algorithm of time-delay compensation were proposed to solve this problem.The frequency range and the effectiveness of our compressive sensing receiver were verified through experiments.The SNR(Signal Noise Ratio) loss of the compressive sensing was also evaluated through the QPSK(Quadrature Phase Shift keying) demodulation test.
摘要:The paper introduced a novel method for stereoscopic image creation in virtual reality system.In this method,the left-and-right images were produced through different projection transformations in a single camera space,and the two types of projection matrices were derived respectively for stereoscopic head-tracked and non-head-tracked systems.Based on the single-camera method,we analyzed the relations among disparity,perceived depth,deformation of perceived objects and model mesh warping.The disparity and perceived deformation were modeled as 3D warping,so the disparity and the perceived deformation could be controlled by deforming the model mesh.Finally,a nonlinear perceived depth mapping method using mesh warping was proposed,which could reduce the artifacts caused by perceived distortion,and could avoid the image shift caused by perceived depth mapping in stereoscopic head-tracked system when the viewer moved his head left and right.
摘要:The shortage of spectrum resources becomes a bottleneck in the development of wireless communication.This paper applies the technology of orbital angular momentum (OAM) to the design of array antenna and uses the microstrip patch antenna with feeding type of L probe as an element.The elements are arranged along the circumference equidistantly to present an 8-element broadband microstrip array antenna generating multi-modal OAM vortex electromagnetic waves and the adjacent elements are fed with the different phases.The operating frequency band of the antenna ranges from 1.35GHz to 1.86GHz,and meanwhile,the relative bandwidth can reach 31.8%.Experiment results show that the array antenna can generate electromagnetic waves with characteristic of multi-modal orbital angular momentum.When it is placed in the transmitting terminal of wireless communication system,the multiple signals can be transmitted on the same frequency simultaneously,which improves the transmission rate and capacity of the communication system.
摘要:Process variations lead to a significant degradation of IC parametric yield,and they also tend to cause a negative correlation between different parametric yields.However,previous yield optimization works are limited to deal with single objective problem.To deal with the above-mentioned limitation,this paper proposes a multi-objective optimization framework for co-optimization of power and timing yields under process variations.The proposed method starts with establishing explicit statistical models for power and timing metrics respectively.Then considering the negative correlation between the metrics,we employ Chebyshev affine arithmetic to formulate a multi-objective optimization model,optimize power and timing yields simultaneously by adaptive weighted sum method,and provide a well-distributed set of Pareto-optimal solutions.Experimental results demonstrate that the proposed method explores about 30 well-distributed solutions for each benchmark circuit with different test units.In addition,it can not only balance the restricted correlation between multiple optimization objectives,but make the traditional weighted sum method to get optimal solutions on the Pareto curve where change rate is small.
关键词:design for manufacturability;parametric yield;statistical modeling;multi-objective optimization;Pareto optimality
摘要:Identifying the influence of nodes is one of the major research topics in the structural analysis of social networks.The current measures of researching the node influence can be divided into two categories:centrality measure and node removal measure.The former mainly identifies the influence of the node by degree or shortest path,without considering the connectivity of social networks; while the latter by the damage of the structure of a social network when some nodes are removed.The node removal measure is incapable to be applied in large-scale since the computational complexity.We propose a new parameter,connectedness centrality,to identify the influence of nodes in networks by combining the local connectivity and shortest paths.We give a method to compute the connectedness centrality of the node and obtain the precise values in some specific networks.Finally,an experiment using a real-word network shows that our method can well identify the influence of the node in social networks.
摘要:This paper presents an improved Grover searching algorithm which can automatically control the iterative processing when the number of target states is unknown.The probability of success of Grover searching algorithm depends on the number of iteration times and the number of the time of iterations relies on the number of target states.Therefore,it is hard to get the target state with high probability when the number of target states is unknown.To this question,the time complexity of conventional solution is high and the answer is non-deterministic.This paper shows an improved Grover searching algorithm,which is based on the sign for the phases of superposition state.Compared to existing research results,this algorithm can always stop the Grover iterations when the number of iteration times is optimal by the cost where just one more gate,and one more time Oracle call are needed to judge the sign of phase.
关键词:Grover searching algorithm;sign of phase;auto-control
摘要:The sophisticated scenarios always challenge MIMO(Mutiple-Input Mlitiple-Output) radar.A relaxed iterative spectrum approximation alternating projection method (RISAAP) is proposed to design phase-coded waveforms,for suppressing high range sidelobes of strong scatters,electromagnetic interference in specified frequencies and cross-interference from different signals.This method is based on power spectral density (PSD) approximation and alternating projection with extended accelerating factor.Firstly,the correlation fitting is transformed into PSD approximation via FFT between the aperiodic correlation function and PSD.Secondly,the desired spectrum constraint is formulated and the projection space is expanded by its relaxed mechanism.Finally,the iterative optimization is conducted via FFT and accelerated alternating projection.Simulations demonstrate that this method could obtain efficient performance and avoid local stagnation which seems more convenient for waveform design on-the-fly than some prevalent algorithms.
关键词:MIMO radar;waveform design;power spectral density approximation;phase-coded;alternating projection
摘要:Micro-blog has become the most popular information sharing tool in our daily life.The retweet behavior is a main method of information propagation in micro-blog.So the retweet number prediction is an interesting research topic and has much practical significance.However,most of current researches only regard this problem as aclassification or regression problem,and they did not consider the retweet propagation process.Considering the retweet propagation process,we propose a retweet number prediction model BCI.In our model,we think retweet messages are from two parts,direct followers and indirect followers.The retweet number of followers is decided by their retweet intention and influence.We use behavior and content information to estimate retweet intention for a direct follower and use the influence to estimate the indirect followers' retweet number.Experimental results on Sina Weibo dataset show that our retweet number prediction model has much better performance than other well-established methods.
关键词:retweet number prediction;retweet intention;the influence on retweeting
摘要:The performance of the joint transmission in a coordinated multi-point system is bottlenecked by the downlink channel state information errors.To avoid the performance degradation of the joint transmission,a nonlinear robust precoding algorithm is proposed,which utilizes the statistical characteristics of the downlink channel state information errors.Due to the feature of the coordinated multi-point system and the structure of the nonlinear robust precoding algorithm,performance differences exist among user equipments.To improve the bit error rate of the worst performance user and reduce the average bit error rate of the nonlinear robust precoding algorithm,the order of the successive interference cancellation of the nonlinear robust precoding algorithm is also optimized.Simulation results show that the nonlinear robust precoding algorithm proposed in this paper can achieve better performance than the traditional linear and nonlinear precoding algorithms when the downlink channel state information errors exist.Simulation results also show that the ordering optimization can help the nonlinear robust precoding algorithm to attain better performance advantage.
摘要:To solve the distributed power control issues in cognitive radio networks under imperfect information environment,according to the difference and independence of channel detecting results of different unlicensed users,a game-theoretic power control mechanism based on hidden Markov model (HMM) is proposed.By the HMM mode,unlicensed user can estimate whether competitors would take part in the game,which improves the information accuracy of game and allows the unlicensed users to choose an optimal transmission power.Simulation results indicate that the game-theoretic power control mechanism based on HMM can not only improve the power efficiency but also meet the target capacity compared with other cases.
关键词:imperfect information;hidden Markov;game-theoretic power control
摘要:Technology scaling results in that chip failure caused by single event transient pulses is becoming more and more serious.In order to accurately compute the failure rates introduced by the transient pulses impacting on latches,a novel latching-window masking model considering overlapped transient pulses in multi-cycle is proposed.Firstly,sensitized paths and delays are calculated by the proposed re-convergence aware sensitized path searching algorithm.Further,on re-convergence paths,pulses are overlapped by the proposed pulse overlapping calculation technique.Finally,as regards transient pulses arriving at latches,failure rates are computed by the proposed latching-window masking model.The proposed technique can accurately compute re-convergence induced pulse overlap and it is suitable to estimate failure rates considering multi-cycle.Experimental results for ISCAS'85 benchmarks show that,compared with the approach which has not considered pulse overlap in multi-cycle,the proposed technique improves 7.5% soft error rate accuracy on average with only less than twice the simulation time overhead.
摘要:The kernel of nonlinear system analysis is the solving of system state equation.Therefore,for a general nonlinear control system,the concept of general time-state space comprising of state variables,control variable,and time t is introduced.In order to solve the state equation of nonlinear control systems,at the operation point of general time-state space,the right side of the state equation can be expanded as Taylor series about time.Then the series solution of the nonlinear control state equation,for which the solution is expressed in time series,can be obtained by using direct-integrating approach.Sliding mode controller is established to control the typical coupling nonlinear system model of the spherical robot.Then we obtain the analytical solution of control and controlled variable by the direct-integrating method.The validity of this method is verified by experiment.
关键词:spherical robot;sliding mode control;nonlinear control systems;state equation;direct-integrating
摘要:Fault localization is one of the most time-consuming activities in software debugging.An identifying coincidental correctness approach for effective fault localization is proposed to decrease the effect of coincidental correctness on the effectiveness of fault localization.First,the elements of coincidental correctness are computed.Second,the higher suspicious coincidental correctness elements are selected as feature elements of coincidental correctness,and then program execution traces are reduced in terms of feature elements.Finally,fuzzy c-means based coincidental correctness identification model is created based on the reduced execution traces to locate faults.It was applied to analyze three groups of programs,and test cases removing coincidental correctness were used as input for four popular fault localization approaches,such as Tarantula.The experimental results show that our approach had low false positives and false negatives,and performed well in terms of the effectiveness.
摘要:The measurement of particle density is affected by particle size and color in the optical method.The Kumbelka-Munk-Lu equations were built that contained the variables of particle density,size and color.The value of particle density affected by particle size could be derived by the forward scattering extinction equation of the Kumbelka-Munk-Lu equations; The scattering extinction coefficient,the absorption extinction coefficient and the effective optical density equation were given.The problem was solved that the Beer extinction equation was affected by particle size and density.The experiments were done to test the Kumbelka-Munk-Lu equations.
关键词:sediment measurement;forward scattering;particle size;particle density
摘要:This paper proposes a topic model TMPP (Topic Model based on Phrase Parameter),which can extract the aspects and associated with their ratings for the evaluated entities in online reviews.TMPP has three characterisitcs:(1)It assumes the review is represented as a bag-of-phrase.(2)It extends the document-topic parameter from the standard LDA as a set of (aspect,rating).(3)It incorporates the prior knowledge.We introduce the physical meaning of each parameter for the TMPP,the generative process for the TMPP and the representation of the prior knowledge.Furthermore,the reason and advantage of incorporating the aspect cluster into the TMPP are presented; the mechanism of obtaining the (aspect,rating) is also given by extracting the aspects and associated with their ratings from the online product reviews.We conduct extensive experiments on a very large real life dataset from taobao.com and find that TMPP can produce high quality (aspect,rating) summarization if each review has an overall rating by comparing the performance between existing baseline models and TMPP.
关键词:topic model;(aspect,rating) summarization;bag-of-phrase;topic model based on phrase parameter(TMPP)
摘要:The research on 3D motion estimation and structure reconstruction of the object or scene based on the monocular image sequence optical flow is important in computer vision,image processing and pattern recognition,and the research achievements are applied in many fields.such as robot vision,unmanned aerial vehicle(UAV) navigation,driver assistance system,medical image analysis,and so on.Firstly,the research progress of the technologies of the monocular image sequence optical flow estimation and 3D reconstruction is reviewed and analyzed from the aspects of accuracy and robustness.Secondly,the test image sequences of Middlebury database are employed to make comparison among the optical flow methods of HS,LDOF,CLG-TV,SOF,AOFSCNN and Classic+NL,and the direct and indirect reconstruction methods of Adiv,RMROF,Sekkati and DMDPOF based on optical flow are compared.Through the comparison results,the advantages and disadvantages of the methods are pointed out,and the characteristics and applications of the methods are generalized.Finally,the limitations and robustness of the models of optical flow estimation and 3D reconstruction in brightness changing,non-rigid motion,motion occlusion and blur are summarized,and the solutions by the fractional order differential model,non-local constraint,stereo vision and depth cue are presented.
摘要:3D NoC stacking the multi-chips with TSV has many advantages,such as high integration density and high communication efficiency.It is the mainstream of communication architecture on multi-core on-chip systems.However,due to the process variation,physical defects and low yield of TSV,3D NoC is facing serious fault problems.It is essential to design a fault-tolerant mechanism for 3D NoC to ensure the efficiency of communication.In this paper,we focus on the failure and fault-tolerance issues of the critical communication components (routers and TSVs) in 3D NoC.From the description of fault-tolerance necessity,researches situation at home and abroad,future research directions,key issues and the proposed solutions,we conduct an in-depth discussion.Thus,we provide integrated solutions for improving the reliability of NoC and ensuring efficient communication system.
摘要:Compared to the traditional semi-supervised based anaphora resolution methods,Laplacian SVM(Support Vector Machine) can efficiently explore the similarity and correlations between labeled and unlabeled samples for deriving more accurate classification model.However,traditional Laplacian SVM simply uses Euclidean distance to calculate the distance between two samples,which may result that two samples from different classes may have false high similarity.To address the problem of insufficient Chinese annotated corpus,a data-driven based method is proposed to learn the optimal distance metric.The proposed method takes similarity constraints between sample-pairs into consideration and introduces the Fisher discrimination criterion,so that the similarities of in-class samples are higher than those of between-class samples,and the discriminant features are highlighted in the new metric space.Furthermore,the proposed metric-optimized method is generalized from linear to nonlinear space by the use of kernel,so that it can be used for non-linear classification.Compared with the classical supervised method and other four traditional semi-supervised methods on the ACE2005 Chinese corpus,the proposed method,both the linear form and kernel form,achieves the comparatively better or best performance,with fewer labeled samples.
关键词:metric-optimized;Laplacian SVM;Chinese anaphora resolution;semi-supervised learning;natural language processing