The development of power big data technology provides the new opportunity for solving the problems in many technical fields of electric power system. This paper discusses the accuracy and implementation issues for solving on-line decision making system based on power big data. First, we elaborate the...

The support vector machine model is based on the network security situation has strong randomness, is affected by many factors, and the number of types of network security incidents is uncertain, the reference sample is small, the prediction model of need "intelligent", according to SVM forecast algorithm....

Real-time display viewpoint ranking information in the divergent discussion process, has a great significance in group discussion of Hall for Workshop of Meta-synthetic Engineering. Since divergent discussion has the characteristics of continuity and randomized complexity, a viewpoint ranking method...

ESPRIT algorithm is one of the main algorithms for DOA estimation, which is a basic problem in multi-target tracking. This paper proposes an improved ESPRIT algorithm for multi-target tracking, and takes simulation analysis of the performance of DOA estimation of the SNR and sub-array spacing, then compares...

The increasing number of vehicles on roads brings more risks associated with vehicular travel. In fact, 50 million victims of accidents with personal injury on the roads are reported around the globe every year. Therefore, it is important to have new technologies that enhance active safety and ensures...

LEACH-C routing protocol chooses the cluster head by simulated annealing algorithm, although the simulated annealing algorithm can optimize network communication distance, however, the convergence of annealing algorithm is very slow. Improved LEACH-C uses the cuckoo search algorithm to optimize network...

Three-dimensional (3D) reconstruction of fluorescence microscopic images is a challenging topic in the image processing, because the imaging system is very complex, and the point spread function (PSF) continuously varies along the optical axis. Generally, the more exact the PSF is, the higher the reconstruction...

This paper addresses the problem of super-resolution(SR) image reconstruction based on sparse representation and deep learning. we approached this problem from the dictionary learning. Firstly, in order to realize the correspondence between the sparse representation coefficients, we proposed the method...

Surveillance video records the situation of pedestrians in public. If some sudden event such as a robbery or someone gravely ill, guards or managers can get this by watching and understanding pedestrians behaviors from surveillance video in time. In this paper, we propose a system to warning the guard...

Considering that PCNN is in accordance with human vision, so it has a good performance in image binaryzation and segmentation, the PCNN-based methods have advantage in feature extraction and image classification. In this paper, we propose a new method for feature extraction and image classification based...

This paper elaborates the fault classification and different fault processing methods of spacecraft payload in orbit. The advantages and disadvantages of diagnostic method based on knowledge are analyzed. According to monitoring requirements on orbit management of spacecraft, a hybrid diagnosis model...

Orthomorphic permutation is proposed in 1942, which is a special permutation with many good cryptographic properties. Orthomorphic permutation has similar structure with a one-way function used in hash functions called Davies-Meyer construction. However, the algebraic degrees of previous constructions...

Most work related to query extension (QE) adopted the assumption that terms in a document are independent, and multinomial distribution is widely used for feedback documents modeling in lots of QE models. We argue that in QE methods, the relevance model (RM) which generates the feedback documents should...

With the development of navigation technology, the interplanetary missions have made large progress in the past decades. In order to accurately estimate the states of the spacecraft and correctly deliver the spacecraft to the predetermined orbit, deep space autonomous navigation system is investigated....

To solve the non-uniformity of micro-CT image with CV(Chan-Vese) model and the influence of location of initial contour curves on segmentation speed in the LGIF(Local and Global Intensity Fitting) model, K-LGIF(K-means-Local and Global Intensity Fitting) model was proposed through adding K-means clustering...

Men with ED generally complain failure to attain or maintain an adequate erection during sexual activity. The prevalence of ED is strongly correlated with age, affecting about 40% of men at age 40 and nearly 70% at aged 70. A variety of chronic diseases, including diabetes, hypertension, cardiovascular...

The supply chain management based on electronic commerce has gradually become the mainstream management mode of the enterprises. Logistics management is very important in the whole supply chain management. It is the link between suppliers and manufacturers, manufacturers and distributors, vendors and...

In the context of Wechat marketing, this study investigated antecedents and boundary conditions of consumer purchase and forward intention. The results indicated relationship intensity, brand image and dispositional trust have positive effect on consumer purchase and forward intention; the effects are...

It proposes a target classification and recognition method based on immune genetic neural network algorithm. Immune genetic algorithm is adopted to optimize the initial weights and thresholds of BP(Back Propagation)network. Respectively use traditional BP neural network algorithm and immune genetic neural...

With the development of medical information technology, the research and application of medical big data has become an important direction of data research. The semantic similarity evaluation between medical domain knowledge is an important part of the understanding of medical large data, which can effectively...

Fuzzy clustering is a technique which adopts the fuzzy mathematics method to build up faintness relations on the basis of signal features. In this paper, two methods adopting fuzzy hierarchical clustering and fuzzy equivalent matrix method for distinguishing the partial discharge(PD) signals are demonstrated...

It adopts support vector machine which is applicable for small sample prediction and constructs the prediction model. It is based on analyzing characteristics of particle swarm optimization and support vector machine. The improved IPSO-LSSVM prediction model shall be used to predict the development cost...

Deep integration of industrial system and information technology triggered the fourth industrial revolution-Industry 4.0 which based on cyber physical system and Industrial Big Data. Although many researchers have discussed the basic concept of industry 4.0 and Industrial Big Data, as we known no literatures...

According to the problem that the fault of the hydraulic support was difficult and the recognition rate was low, the fault diagnosis method was put forward based on the FTA fully mechanized coal mining hydraulic support. This method was integrated with fault tree diagnosis technology and expert system....

With the development of education technology, the number of E-learning users rises dramatically. How to evaluate and classify students through their learning ability and how to provide personalized guidance to students become valuable research points. Work in this paper based on the open source e-learning...

On the basis of Vs30 and Vs20calculated from shearwave velocity profiles of 732 boreholes, a formula to estimate Vs20 from Vs30 is presented in this paper by reference to a recent suggestion, an iterative process to estimate rough overburden thickness is suggested based on two formulas for the average...

With the development of economy and the improvement of society in China, the problem of traffic jam in cities is increasingly serious. The subway is an effect way to reduce the traffic jam in big cities, such as Beijing. This article takes subway station of Beijing as the main study subject. Through...

To demonstrate the applicability of damage identification methods, wavelet analysis is used in damage detection of space trusses. For a single identification method may not be sensitive to structural damages in multiple locations. A damage identification approach based on the modal strain energy and...

Forecasting air traffic demands is important when planning for the future density and capacity of a Flight Information Region (FIR). There are many factors that affect air traffic demand such as Gross Domestic Product (GDP), air fare, service level, travel time etc. Our previous study analyzed the relationship...

In this paper, an improved matrix perturbation method for modified structures is presented. First we construct an iterative format on the basis of the matrix perturbation theory. By introducing a pair of initial eigensolution, we can obtain the natural vibration mode of the modified structure, and then...

Data storage security issues are expanding to global area, while "Internet+" Smart Energy is prospering in high speed. Therefore, the security backup for the distributed file system (DFS) has become the key factor in the construction of smart grid in electric power. However, due to remote data synchronization...

With the new technology development of Internet & mobile payment and intelligent cities construction deep going, the city's network subway transportation system is occurring a great renovation. Directing at the passengers' transfer needs, the paper does investigation, summarizes its basic characteristic,...

Compressive sensing has been used to acquire the information in high-frame-rate video using low-frame-rate compressive measurements. Under the framework of coded aperture compressive temporal imaging, we propose a video reconstruction algorithm using Gaussian scale mixture model from temporal compressive...

In view of some errors existing in the vehicle detection system of single sensor node, a vehicle detection algorithm based on dual sensor information fusion for vehicle classification is proposed. The single sensor signal is detected by double threshold method, then matching the vehicle information detected...

Authoring of personalized Web page by integrating heterogeneous Web page elements from different sites is a challenging task in Web 2.0 applications. An approach to extract various of partitions or elements, which can be the basic HTML elements, CSS definitions, JavaScript source code, etc, from different...

Adopting multi-server infrastructure is an important way to improve the scalability of distributed virtual environment (DVE) system. Under this infrastructure, maintaining balanced load among multiple servers is of crucial to keep system usability. Existing load balancing methods mainly focus on the...

The assignment problem generally assumes that one person undertakes one task and one task must be accomplished by only one person. However, a real task usually calls for more than one person. In some cases, those persons are required to work at the same time, if so, the classical assignment model will...