Though recommendation systems have been widely used for websites to generate new recommendations based on like-minded users’ preferences, IEEE Internet Computing points out that current system can not meet the real large-scale e-commerce demands, and has some weakness such as low precision and slow reaction....

Microarray image gridding is one important step of microarray image analysis to determine 2D image coordinates of all array spots in the hybridized gene chip image. Accuracy of image gridding will affect the reliability of gene-chip data extraction and even the final analysis results of gene-chip assays....

In order to greatly improve the performance of multi-modulus blind equalization algorithm(MMA) and evaluate the influence of modulation mode on it, MMA based on bat swarm intelligent optimization(BA-MMA) is proposed. This proposed algorithm uses the global optimal position vector of a bat swarm which...

A novel crossover genetic artificial fish swarm DNA encoding sequence based weighted multi-modulus blind equalization algorithm(ncGAFS-DNA-WMMA) is proposed to solve the defect that error function doesn’t match with the signal constellation model in the multi-modulus blind equalization algorithm(MMA)....

The nonlinear PDE model with special geometry, mean curvature motion (MCM) equation has been implemented by many methods in image processing. In this paper, the compact alternating direction implicit (CADI) method is constructed for MCM equation to denoise the noisy image, which is based on the alternating...

Ant colony algorithm is one of the representative methods of swarm intelligence. It is a kind of simulation optimization algorithm. Because it has many good qualities, many NP - hard problems have been solved successfully by using it. This article first expounds the basic theory of ant colony algorithm...

In order to ensure safe operation of the storage system, Warehousing environment for real-time monitoring of effective security is very important. Due to the huge amount of image data warehouse monitoring system acquisition, image acquisition of the warehouse for effective compression become hot. This...

When processing the background and target blurred image, 1D-Otsu and 2D-Otsu segmentation effect is not good. The proposed algorithm used the gray value of the pixels and their similarity with neighboring pixels in gray value to build a histogram which was called gray-level spatial correlation histogram....

Aiming at the defects of traditional K-means clustering algorithm for big data, this paper provides K-means clustering mining optimization algorithm based on big data, shows a MapReduce software architecture which is suitable for large data processing mechanism, provides an improved method for selecting...

In this paper, we consider the design of a modified analog transmission scheme for binary distributed detection systems in which the compressed information made by the local sensors are sent to the fusion center (FC) over parallel Rayleigh fading channels. For complexity concerns, we focus on the equal...

According to the interference of the servo system, a method is proposed that identify the parameters of LuGre friction model and compensate the friction torque base on genetic algorithms. First, establish the LuGre friction model, on the basis of the model, identify the static parameters and the dynamic...

This paper first analyses the reasons of the disturbance signal emerging in the process of weighing, and then selects an improved algorithm based on Kalman filter method to deal with the raw data. After the analysis and comparing the new results with the static weighing data, we finally verify the accuracy...

This paper begins with the introduction of the classical algorithm of ID3 decision trees, which is widespread used into data mining. Through a study on the information gain of the noisy data, ID3 algorithm is used to create a corresponding model and an analysis model of prediction that applies to the...

This paper introduces the DES encryption algorithm and the characteristics of chaotic encryption algorithm, and propose a kind of hybrid encryption algorithm based on Rossler chaos equations and 3DES. The algorithm generate 3DES cryptographic key by Rossler chaos equations, and expand the 3DES encryption...

The increasing core counts and memory volume open opportunities to perform online transactional processing (OLTP) in memory, leading to a new type of databases, called in-memory databases. However, this also makes durability and failure recovery a critical issue due to the volatility of main memory....

A novel algorithm based on maximal grayscale complexity of rotating scan lines is proposed to locate the human eye in the detected human face region. First of all, the human face regions are detected from a number of outdoor photos using the skin segmentation algorithm. Secondly, the skin block is retained...

To solve the problem that self-alignment accuracy of platform inertial navigation system will be affected a lot under significant interference, an adaptive blind source separation algorithm based on wavelet – EEMD method is proposed. This method use wavelet decomposition to remove the high frequency...

This paper analyzes the current problems in the data security and privacy of cloud computing. On the basis, this paper mainly research about the legitimacy and validity of research cloud computing process. First of all, this paper understand the concept of cloud computing technology, according to the...

The synchronization of nonlinear-coupled fractional-order Liu systems is verified theoretically and numerically when the sum of the coupling coefficients of systems is . Numerical simulations coincide with the theoretical analysis, and show fractional order and linear matrix influence chaotic synchronization....

In an information-based world, there needs the support of big data. But the emergence of large data makes the various shortcomings of RDBMS exposed. The application of distributed database HBase can solve this problem. Based on HBase, a very popular distributed database, this paper proposes a method...

The health service support is very important for maintaining and enforcing effective military personal power to consolidate and improve battle effectiveness. Key links and main influencing factors of the health service support are analyzed. The index system of efficiency evaluation is presented. Due...

A radial basis process neural networks can be established ,which is based on expanding the traditional radial basis function neural network to the time domain. Combined with the excellent characteristics of cloud model transformation between qualitative and quantitative , a improved shuffled flog leaping...

Resources scheduling plays an important role in Cloud testing. The completion time for the entire testing works in Cloud testing and the cost of Cloud services could both reduce a lot through good scheduling strategies. This paper mainly focuses on the dependencies between testing tasks and proposes...

Traditional ranging model is not applicable due to the large ranging error under unknown environmental. In order to improve the ranging accuracy, this paper presents a new ranging model based on FUZZY – TS. The model analyzes the number of FUZZY rules and the parameters of the gaussian membership functions...

The worldwide shortage of quali ed seafarers indicates that occupational attraction of seafaring career is dropping. The importance of seafarer rights protection is increasingly recognized by the international communities. The Maritime Labour Convention, 2006, which is widely recognised as the “seafarers’...

Based on weibull distribution model parameters of maximum likelihood estimation process trival, is obtained by using the Newton method and adopting the particle swarm optimization algorithm is easy to fall into premature and program variables is more complicated problems in the implementation, put optimization...

Camouflage voice is the common check material form in judicial voice testing field that brings about many difficulties to speaker identification. Aiming at the electroacoustic disguised voice, we get fundamental frequency variation rule before and after voice change of multiple corpuses by analyzing...

Image segmentation is a fundamental process in many image, video, and computer vision applications. It is very essential and critical to image processing and pattern recognition, and determines the quality of final result of analysis and recognition. This paper presents a semi-supervised strategy to...

This paper proposes an image classification scheme by learning the dissimilarity measure in non-Euclidean spaces. Specifically, the dissimilarity representations of samples from a pseudo-Euclidean space are first constructed; then, the dissimilarity increment distribution information of each category...

This paper is designed for the filtering algorithms of taxi GPS data, as well as vehicle trajectory statistics and prediction algorithm which based on the theory of spatial-temporal data mining algorithm. On the basis of these algorithms, we developed intelligent taxi forecasting system based on mobile...

Character match is more and more applied in computer application field. BM algorithm belongs to an algorithm based on bad sign and good suffix rules. It has high match efficiency, which is widely applied. In the paper, some application fields of BM algorithm are firstly analyzed and discussed. Several...

Due to the complexity of human motion, the target detection results by using traditional ViBe algorithm are not so satisfactory. Therefore, this paper proposes a method to deal with the target detection issue by fusing an improved Canny operator with Vibe algorithm. Specifically, the ViBe algorithm is...

This paper gives a brief but comprehensive introduction of condition of attack state and how we analysis it from massive xml file. Multi-attribute-based classification method supports mining privilege level of vulnerability. Owing to associated analysis, it combined directly and indirectly of vulnerability...

The insecurity of cloud storage is notorious, it is difficult to both maintain privacy of client’s data while still providing the ability to retrieval useful information. In the area of searchable encryption, many previous works presented their constructions based on non-adaptive security definition...

With the development of biomedical engineering, computer science and the bionics, medical treatment develops fast with them too, because these technologies are widely used in medical treatment. Retinal prosthesis is an example based on these technologies. In this paper Spartan 6 series XC6SLX150T development...

The depth information of the underwater target is described with the disparity map. So the disparity map generation method is always a hotspot in binocular stereo vision research. The underwater target image stereo matching experiments were carried out by using the BM algorithm, SGBM algorithms and SIFT...

the study of natural language from birth has become an important field of artificial intelligence. Natural language will become an important way of human-computer interaction. In some specific occasions, often use language refers to various objects, to make assertions about their problems, etc.. Refer...

For the problem of lower safety performance in literature [1] , an improved chaotic map gray image encryption algorithm based on information entropy has been proposed.The algorithm includes three portions: first,chaotic mapping generates random matrices to diffuse plaintext image matrix ; Second, DNA...

Found that the association between each characteristic attributes and behavior based on network intrusion data to achieve intrusion valuable data extraction and analysis,the use of denial of service attacks recorded KDDCup99 dataset simulation experiments.Weka software using association rule mining algorithms...

Over the last few decades, nature has stimulated many successful heuristic optimization methods and computational tools for dealing with optimization problems. In this paper, we investigate the black hole clustering algorithm based on membrane computing. Formally, we embed the black hole clustering algorithm...

In order to enhance the performance of shuffled frog leaping algorithm in solving optimization problem, this paper added the mutation operator to original shuffled frog leaping algorithm, an improved shuffled frog-leaping algorithm of solving permutation flow shop scheduling problem was proposed. Simulation...

This paper proposes a shuffled frog leaping algorithm based on population diversity feedback. The algorithm is used to solve the Time-table Problem, the results show that the improved shuffled frog leaping algorithm has reliable convergence, high convergence rate and solution precision.

In this paper, based on Chambolle’s Projection Algorithm, an PDE was proposed to replace the total variation model for removing image noise. In order to improve the algorithm, the TVD Runge-Kutta method, which has high-precision of time direction, was introduced to solve the equation. The numerical results...

Natural feeling color image fusion technology is an important direction in image processing. This paper first summarizes contributions from both domestic and foreign researchers. Then according to the theory of 2D color-lookup-table, it puts forwards the multiple reference images fusion algorithm, and...

A mathematical model of motion blur is introduced. Based on block registration, combination Wiener filter recovery method of motion blurred images is proposed. And in the MATLAB platform, the method is simulated, which gives experimental results and result analysis. The experiment shows that the method...

The principles of inverse filtering, wiener filtering, and histogram equalization combined median filtering are introduced and studied. Three image restoration methods are compared in a variety of blur and noise conditions. Their own advantage and disadvantage are described. The simulation experiments...

The segmentation of CAM images are prerequisite and fundamental steps of studying the drug effects on angiogenesis. In this paper, an evaluation method for different segmentation algorithm of CAM images is proposed. Firstly, a CAM images dataset consists of 4 distinctive features (uneven illumination,...

In the light of the high decoding complexity and large transmission delay caused by the bit rate allocation of Distributed Video Coding (DVC) scheme with feedback channel, this paper proposes an improved bit rate control algorithm without feedback. The algorithm uses the division of macro block to simplify...

This paper proposes a type of reference viewpoint selection method based on the viewpoint similarity standard that reduces computation complexity and increases coding performance. Experimental results show that the proposed method can reduce the computational complexity in the muhiview video coding with...

Stationary wavelet transform (SWT) was proposed to enhance time-domain optical coherence tomography (OCT) images of multilayered thin-film structures. Multi-level SWT decomposition of OCT images was conducted and the SWT detail coefficients could be employed for feature extraction of multilayered structures’...

With the growth and convergence of information technology, new media provides a foundation for the emergence and development of sport news communication. To identify the opportunities and challenges in fast growing new media, in this paper, we discuss several emerging topics including new feature, construction...

The development of society depends on the success of innovation activities, and intellectual property rights are becoming increasingly important for the development of human society. In this paper, based on the analysis of the status and existed problem of sport digital intellectual property, we present...

Traffic network distribution based on distribution center problem (TNDBDCP) is put forward, which can not be solved by traditional algorithms. In order to solve TNDBDCP, Particle Swarm Optimization (PSO) is put forward based on the idea of global and feasible searching. In the PSO, introducing check...

Magnetoencephalograph spatial Time-Frequency Multiple Signal Classification (MEG-TF-MUSIC)can work well in essential and sensor noises environment, but a pulse noise exist in MEG array processing data, they can be described by stable distribution. The performance of MEG-TF-MUSIC degenerate in stable...

Propose a new algorithm based on BP neural network algorithm on existing, which basic principle is choosing a freedom weight, by solving the linear equations to achieve hidden layer, combination freedom weight , then obtain weight is necessary weight. This algorithm hasn’t the traditional method such...

A mobile Internet applications system based on identity recognition technology is proposed, which can achieve user identification, analysis and as a basis for realization of intelligent portal system. The system support the development of more flexible operational partners and loading mode based on user...

In order to overcome the disadvantages of Fuzzy c-Means(FCM) and possible clustering algorithm in the practical application of interval data, an improved FCM-possible clustering algorithm for interval data is proposed in this paper by combing their merits. The improved clustering algorithm introduce...

GIF image is one of the most widely applied images on the Internet. This article puts forward selective encryption algorithms for degradation mode based on coding features of GIF image and presents encryption effect picture through experience and then analyzes its safety, enciphered data size, format...

A security management mechanism with white list is proposed based on trusted computing technology. The mechanism runs dynamic measurements to verify their integrity when the software or the program starts, which is an active defense mechanism based on trusted computing technology. It can effectively...

In this paper, according to the characteristics of time-table problem. A Novel Firefly Algorithm was used to solve time-table problem, the algorithm was experimented and the experimental results show that the new algorithm to be successful in time-table problem. The experimental result demonstrates that...

The research field of legal profession includes related legal features of computer evidence and its recognition process thereof. Evidence technical features and acquisition techniques thereof are researched and calculated from technical angle in computer field. Since forensic discipline belongs to an...

The flight radius is an important index to describe the performance of fighter aircraft. The size of flight radius is closely related to flight profile, engine state, external store and fuel quantity of aircraft. These factors make the flight radius difference. According to the characteristics of actual...

In April 2020, Atlantis Press was alerted to fake proceedings articles hosted on our platform. These articles, mostly in computer science and engineering, were generated by the SCIgen computer program and were all published between 2006-2018. Immediately after receiving the alert, Atlantis Press initiated...

This paper puts forward an algorithm for simulating radar climograph which applys multi-typeinterpolation curvesto construct the contour of theradar climograph. The experimental resultsshow that the method is simple and can create good climograph.

Cloud broker can provide more flexible price options by integrating and scheduling all the requirements of their clients. The existing work does not consider the deadline of the requirement, which may fail to satisfy the clients before the deadline time. Therefore, we propose a novel strategy for the...

This paper presents a method based on K-SVD (Singular Value Decomposition) to despeckle Synthetic Aperture Radar (SAR) image. First, we get sparse representation of a noisy image f over a fixed complete dictionary D by using Orthogonal Matching Pursuit (OMP). Then, train D on the noisy image to get a...

Recently, Wang et. al. proposed a public auditing protocol with efficient user's revocation for shared data in the cloud storage (InfoCom 2013, 2904-2912). By taking a careful look at the scheme, we noticed that their scheme has inherent limitations. In short, In short, the auditor cannot find the correct...

To solve the problem of tracking maneuvering target in the presence of clutter, the debiased converted measurement based interacting multiple model (IMMDCM) estimator in combination with the probabilistic data association (PDA) technique is proposed for airborne target tracking. Under the architecture...

The supervised Latent Dirichlet Allocation (sLDA) is a probabilistic topic model of labelled documents, which is better than unsupervised LDA for text categorization. But sLDA experiments were based upon this default assumtion that the corpus is balanced, that is, the samples of each class are approximately...

Most active noise control (ANC) algorithms require the identification of the secondary path, thus suffer from large complexity, increased residual noise power and algorithm divergence. In this paper, we propose a novel ANC algorithm without secondary path identification based on Kalman filter, referred...

To illustrate the effectiveness of the proposed MECKF (model error compensatory Kalman filter) algorithm, its higher performance is demonstrated by comparing with DSLMS algorithm, and the feasibility of the model noise determination by comparison with MECKF-S-H method. In the simulation experiments compared...

Membrane computing with the advantages of distribution and maximum parallelism is a new branch of natural computing, and discrete Morse theory is a very useful tool in topology. In this paper, combining discrete Morse theory and membrane computing, a novel membrane structure—P system with chain structure...

With the dramatic increase of available data, the process of data processing should get higher and higher performance. Most researches on k-Nearest Neighbor (kNN) query algorithm are based on the regular partitioning method which is easy to cause the imbalance of load, even influence the overall performance...

This paper contributes two novel techniques in the context of synthetic aperture radar (SAR) image segmentation by cooperative learning and multi-objective clustering in kernel mapping thereof. First, we introduce an efficient implementation of cooperative evolution by using two parallel implemented...

The video remains noisy for low cost acquirement equipment at high sensitivities. The issue of removing video noise is still of acute and in fact growing very importance. In this paper, three approaches are introduced. Each method has it's merit and advantage, the comparison to each other is done, and...

When appearance variation of object, partial occlusion or illumination change in object images occurs, most existing tracking approaches fail to track the target effectively. To deal with the problem, this paper proposes a robust visual tracking method based on sparse representation.To make the observation...

Weak coupling connections are ubiquitous in neuronal system. For neurons with both spiking and bursting dynamics, bursting synchronization, which has been found to be related with a number of abnormal brain rhythms, is easier to occur at smaller synaptic strengths. In this paper, we examine the effect...

Spread spectrum communication, a major course, has many features such as strong theory, abstract concept and rich relative techniques. This paper introduces the real-time simulation experiment system for spread spectrum communication based on MATLAB/Simulink, and realizes 4 experiments about the transmitters...

Given the importance of image quality evaluation in the field of image acquisition and processing, and for the most commonly used method for objective evaluation and subjective evaluation method in the limitations of practical application, this paper presents a comprehensive image quality evaluation...

This paper presents an event model which describes the data structures that are realised in mobile computing. The model is divided into two different types, namely atomic events and composite events, and provides the means for the classification and package of events. From the perspective of complex...

Time-table Problem of universities is a many factor of the global optimization problem. In this paper, according to the characteristics of time-table problem, a Plant Growth Simulation Algorithm(PGSA) was put forward, and it was used to solve the Time-table Problem, the algorithm was experimented and...

In order to meet the needs of the marine development and maritime disaster reduction work, it is necessary to strengthen the monitoring and forecasting of sea ice. Doing sea ice drift detection can provide accurate field data for the numerical prediction of North Sea and medium-range forecasts, which...

In this paper, an improved deterministic block parallel interleaver based on S-distance for Turbo codes is designed according to the theory of Bubble Sort. The aim is to overcome the long delay of S-random interleaver. The improved interleaver has the larger spreading factor ‘S’, lower delay and better...

The GOCI (Geostationary Ocean Color Imager) satellite with high spatial resolution and high temporal resolution can satisfy the needs of monitoring drift of sea ice to provide real-time and high frequency data. The real-time and accurate monitoring information can be obtained to support the economic...

Due to the drawbacks in Support Vector Machine (SVM) parameter optimization, an improved quantum ant colony algorithm was proposed, and the learning ability in practical English speech emotion recognition was improved. The experimental results showed that quantum ant colony algorithm may significantly...

The vehicle routing problem, it is a many factor of the global optimization problem. In this paper, according to the characteristics of school bus problem, a Plant Growth Simulation Algorithm(PGSA) was put forward, and it was used to solve the vehicle routing problem, the algorithm was experimented and...

In order to overcome moisture absorption of straw based composite with poly(vinyl alcohol) as adhesive material, poly(vinyl acetate) (PVAC) was introduced into the preparation of composite based on rice straw slice (RSS). The effects of PVAC content, hot-pressing temperature and hot-pressing time on...

In this paper, according to the characteristics of ill-conditioned linear equations. An improved Wilkinson algorithm(IWA) for solving ill-conditioned linear equations is proposed. An amendment factor is introduced to reduce the condition number of the coefficient matrix of ill-conditioned linear equations....

At present, much of the city is construct the new public traffic line, meet the needs of the development of city. Firstly, this paper describes the influence factors of conventional bus station location problem, and then gives the mathematical model of bus station location problem, and put forward to...

In order to enhance the performance of shuffled frog leaping algorithm in solving optimization problem, this paper added the mutation operator to original shuffled frog leaping algorithm, an improved shuffled frog-leaping algorithm of solving TSP was proposed. Simulation results show that the improved...

The global optimization algorithm is the ideal approach to solve the typical complex nonlinear function optimization problem such as engineering inversion analysis. With the efficient ABAQUS kernel solver, the finite element inversion model is established based on quantum genetic algorithm, then use...

Reactive power optimization is the non-linear integer problems, suitable reactive power compensation can reduce the transmission losses and guarantee the power system operate stability, safety and economy. The differential evolution algorithm is the intelligent evolutionary algorithm had fast and precision...

Shuffled frog leaping algorithm is a simulation of the frog group foraging behavior of modern heuristic intelligent algorithm. Based on the defect of this algorithm is easy to be premature, the optimization accuracy low, this paper proposes a shuffled frog leaping algorithm based on population diversity...

The partial differential equation generated by one of the Jaulent-Miodek hierarchy models is completely integrable. Applying bifurcation method, some new exact traveling wave solutions of it such as kink wave solutions and unbounded wave solutions are obtained, which corresponding to the solitary wave...

The current video transmission based on mobile devices become more and more frequent, in order to meet the requirements of real-time and sharpness, and constraint satisfaction network speed, the video is to be compressed by right compression algorithm before transmission. This paper first introduces...

Clustering analysis is the basic of data mining, and K-means algorithm is the simplest clustering algorithm. However, traditional K-means algorithm has many defects-instable K value determinations, non-universal applicable SSE etc. Consequently, we introduced an improved K-means algorithm basing on the...

To solve the problems such as isolation of information, poor sharing and reusability, difficulty of finding resources and providing personalized information service, a solution method of ontology-based query and reasoning was introduced. According to the method a function module and working process of...

This paper presents a new method for image classification based on image saliency region. The proposed attention region latent SVM (ARLSVM) is highly distinctive by training in a weakly-supervised manner which without requiring objects position or bounding boxes in training images. We use a latent SVM...

This paper proposes an efficient method of combining modelling to forecast day-ahead electricity price. The basic idea of this method is to develop a robust technique to select the proper combining weights of individual models according to their historical performance on similar circumstances. Firstly...

Two numerical algorithms based on H1-Galerkin mixed finite element (GMFE) methods are presented and analyzed for a fourth-order diffusion equation. By introducing three variables with two different ways, the two first-order system of four equations are formulated. The semi-discrete optimal error estimates...

The estimate methods of evapotranspiration was studied in several methods including field measurement, instrument measurement and Penman - Monteith formula. There are slight differences between the results calculated by the 3 methods. As a traditional method, field measurement has high credibility. By...

Based on investigation dada on Cadmium (Cd) in bottom waters in Jiaozhou Bay in 1982, this paper analyzed the vertical distribution and seasonal variation of Cd. Results showed that The contents of Cd ranged from 0.13-0.53 g.L-1, which were meeting Grade I (1.00 g.L-1) in National Sea Water Quality Standard...