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The algorithm of this paper inserts pseudo items which are converted from item interval to obtain equal extended sequence database; it defines item-interval constraints, which are relative to the item weight, to prune the mining patterns. Through doing this, the algorithm avoids mining the patterns which...

In this paper, we present some results on the relations between the solutions to matrix equations AXA=B and CYC=D, where B and D are Hermitian matrices.

In recent years, networks based on the 802.11 standards have gained a prolific deployment. The reason for this massive acceptance of the technology by both home users and corporations is due to the “plug-and-play” nature of the technology and the mobility. The lack of physical containment due to the...

In this paper, we investigate a coupled system with integral boundary conditions of nonlinear fractional differential equations. Using Leggett-Williams theorem, the existence of solutions is obtained. An example is given to illustrate our result.

Since computer network has become the basis of the information society, network topology has also become an important part of network management. The theory foundation of the network topology algorithm based on SNMP has been introduced in this paper, and the algorithms of network topology discovery based...

In order to solve the problem of methodology subjectivity, long modeling time and low classification accuracy in the information security risk assessment, a network security situation assessment model based on FAHP has been proposed in this paper. Via building a network security index system, using the...

Computational methods for predicting the new drug-target interactions are more efficient that those experimental methods. Many machine learning based methods have been proposed but most of them suffer from false negative problem. In this paper we extend the original label matrix and adopt weighted lose...

In this paper, synchronization analysis is investigated for an complex networks with time delay. It is assumed the nodes in the network to be nonidentical. In order to achieve cluster synchronization, this paper uses an adaptive controller on each node, by utilizing the Lyapunov stability theory, a new...

In this paper, an effective model is constructed to discuss the sustainability of a country. We define Coordination Coefficient (CC) to measure the sustainability of a country or a policy and use the value of CC to define how and when a country is sustainable or unsustainable. To consider all the possible...

A fast set partitioning in hierarchical tree (SPIHT) algorithm based on the end scan threshold is proposed in this paper. Because the coding process of the SPIHT needs repeat scanning and sorting, so it takes a lot of extra time and storage space. In order to save the time and space overhead, the end...

Palmprint recognition is an emerging biometric technology that identifies a person based on the hand image. In this paper, a novel palmprint identification method based on Gabor wavelets and Local Direction Pattern (LDP) techniques has been proposed. The Gabor response images at different scales and...

For problems, such as the low accuracy and easily polluted data of the traditional sampling ratings index calculation method, we conduct research on the ratings of big data. Firstly, we argue the effect of the amount of data on the accuracy of the ratings, and do experiments using real data. By sampling...

The decision tree is an important data mining method for classification. Granular computing has been applied to the decision tree, then a new decision tree based on the classification preference ratio of attribute is proposed. This decision tree is a hierarchical granularity tree. In information systems,...

The demand of earth observation data is increasing currently and the demand of observation data accuracy, real-time, and continuity is improving continually. Aiming at this problem, the small satellite formation scheme for earth observation task is researched. The significance of the small satellite...

Ideal result of target recognition can’t be obtained just with single attribute. In order to improve the performance of target recognition and reflect the physical attributes of the target, some attributes are extracted from the high range resolution profile of the unknown target to form an multi-attribute...

Based on the smooth test for uniformity on the surface of a unit sphere , a new test for multivariate normality is presented. The test statistic does not depend on the parameters in the multivariate normal distribution. We obtain the asymptotic null distribution of the test statistic. The test procedure...

In order to make more effective decision level analysis on the testing information of rocket launchers, this paper analyzes the existing disadvantages of evidence theory, draws into the concept of weight coefficient integrated with existing improved method, proposes new improvement of the combination...

Using commercial software CFD (Computational Fluid Dynamics) analysis of fluid to simulate the H-Boat. Based on the numerical methods, use the VOF (volume of fluid) method to simulate the free surface, and use RNG (Renormalization-group) model to close RANS (Reynolds Average Navier-Stokes) equations...

This paper designs a novel 3D SRAM soft error analysis platform. It is used for studying the soft error characteristic of 3D SRAM stacked by multi dies and guiding the radiation hardened design for 3D SRAM. This platform integrates simulation tools including Geant4, TCAD and Nanosim, data recording and...

A distributed environment, medical decision-making process is becoming increasingly complex, and it usually needs more medical roles to complete the diagnosis and treatment of one complex disease. However, these medical roles typically distribute in different work environments, so the organization and...

As the technology of three dimension integrated circuit (3D IC) develop quickly, through silicon via (TSV) plays a basic and important role. In consideration of real working environment, factors as temperature and working voltage are studied by TCAD simulator. And the contribution of physical sizes and...

Recently Hardware Trojan has been widely studied for its threat to IC security. The method based on power side-channel information is an effective one in various Hardware Trojan detection methods proposed at present. However, there is a problem that Hardware Trojan power is difficult to be distinguished...

Deep convolutional neural networks (CNNs) have recently shown impressive performance as generic representation for recognition. However, the feature extracted f¬rom global CNNs lack geometric invariance, which limits their robustness for classification and detection of highly variable objects .To improve...

Substitution box (S-box) is an important nonlinear component in block cipher algorithms. Evaluating the cryptographic properties of an S-box requires attention to criteria such as nonlinearity, differential properties, and diffusion properties. In this paper, Artificial Bee Colony algorithm was introduced...

Snowfall directly affects the traffic safety and a lot of accidents happened every year because of the snowfall. If the traffic department can timely detect the thickness of the snow on the highway and clear the snow in time, the rate of traffic accident will reduce and won’t make much trouble for people....

(17664, 16512) LDPC code is simulated under AWGN channel. The simulation is led on FPGA platform, with Layered Normalized BP-Based decoding algorithm. The shifting of measurement point is under consideration, where the soft information for decoding is inaccurate. LDPC performance under different situations...

in the process of studying on computer vision feature recognition method, with the current algorithm for feature recognition, the amount of calculation is large, and noise is strong, recognition rate is low. For this, a computer vision feature recognition method based on Improved Wavelet arithmetic is...

the analysis method of mathematical modeling in particular clustering process of mixed data is of great significance for improving the ability of data analysis. The traditional method for specific clustering process mathematics modeling of mixed data is based on K-Means clustering algorithm, it is easy...

in the classification process of nonlinear data, due to large amount of the data of nonlinearity, the correlation between nonlinear data is reduced, resulting in the classification results of nonlinear data is not ideal. Therefore, this paper proposes a fast clustering algorithm based on improved quantum...

the analysis of the effects of night environment on athlete’s psychological intervention has a momentous significance for promoting the performance of athletes. The traditional algorithm not fully considers the instantaneous and disorder of night environmental psychological change, resulting in the reduced...

the anti-collision problem of large network control software is studied. With the increase of the control task amount of large network control software, the randomness for network control is enhanced, the traditional anti-collision design algorithm is hard to establish the accurate anti-collision model...

in the process of peak period income estimation in the tourism scenic of minority areas, the estimation results obtained by traditional estimation methods are affected by the mutability of tourist amount, existing local optimal problem, causing bigger error. Therefore, this paper proposes a method of...

in the process of detecting specific data of large database, when the traditional detection method is utilized for detecting specific data, it is vulnerable for interference of mass information, which makes the specific data detection process time-consuming, and of low efficiency. For this, an effective...

in the XML complex process relationship design problem, in multidimensional dynamic list scheduling algorithm, for the defect of platform (Group) selection caused by static priority of platform, an optimized priority calculation method is designed based on XML complex process modeling, during the process...

classification storage technology under the cloud computing environment is studied to improve the performance of data management. In the process of data management, how to process classified storage for data effectively, has become the core problem in the data field. How to carry on the management for...

in the management process of large construction projects, the related factors and the influenced parameters are various. A mathematical model of construction project management is complex, it is difficult to form effective project management measures. In the traditional architectural engineering project...

according to the present situation of loess landslides in Qingyang area through frequent field visits, and statistical information analysis, for the "seven county and one area" administrative division in Qingyang area, the distribution curves and statistical characteristic diagram is established, to...

detection method for mixed network structure robustness in 4G network is researched. BP neural network algorithm is utilized to detect mixed network structure robustness in 4G network, because the 4G network reflects the exchange of information between individual and individual, randomness factors of...

During calculation process of hotel guest stream evacuation in the tourist season, the genetic algorithm is used to constantly generate optimal method, based on the theory of "survival of the fittest" to operate unlimited reproduction for the better method, which makes the algorithm premature convergence,...

The fast mining method for intelligence data in library database occupies an important position in the field of data processing. With traditional algorithm to dig intelligence, when encounter the interference of characteristic similarity, fuzzy rules are utilized to establish mining association rules,...

Vehicle handling stability is an important factor which affects vehicle safety. In order to study Vehicle handling stability, we established a dynamic virtual prototype model of a car in ADAMS/Car software, and make simulation of the single lane change on different velocity and steering angle. And we...

The risk management theory has been applied in information technology area for many years. And it has been regarded as an effective information security solution and approach. With the full expansion of information classified security protection implementation, persons are puzzled by the relationship...

With the development of information technology, the Information Management System of the English Contest for College Students is presented to strengthen the Management Information. By analyzing the management content and workflow of the English Contest for College Students, integrated network technology,...

Association rules mining oriented to software defect data plays a significant role in exploring the relationship between software defect data. What’s more, it can provide guidance for software developers and testers. What negative association rules describe is mutually exclusive relationship between...

Physiological signals are external manifestations of emotions. Mood swings can be expressed by the change of physiological signals. Because these performances are not controlled by the individual subjective consciousness, the conclusions are more objective and true. The method based on the statistical...

We extract the chaotic characteristics of multiple physiological signals in this paper, and the relevant algorithms for extracting chaotic characteristics are given respectively. Based on different algorithms we respectively calculate four kinds of chaotic characteristic parameters from multiple physiological...

In order to looking for the fault of rock drilling hydraulic pump, the data of pressure and flow can be collected, from which wavelet analysis was used to find characters of the fault. So a new rock drilling pump fault diagnostic model by SVM was based on the energy value of the data deal with wavelet...

In the buffer solution of pH=5.80, bilirubin can remarkably reduce the fluorescence intensity of the enoxacine - terbium (Tb3+) complex at =545nm and the reduced fluorescence intensity of Tb3+ ion is in proportion to the concentration of bilirubin. The influential factors were investigated. The reducement...

It has a very important role that emotion to coordinate the relationship between people in the numerous and complicated social life. Expression is the most important characteristics of emotion, it is indispensable means of information communication and emotional communication in interpersonal communication....

Batteries play an essential role in electric vehicles, In order to achieve an optimum operation of systems with batteries it is necessary to estimate accurate of the state of charge (SOC). In this paper a combined model for SOC estimation in Vehicle Batteries, based on extended Kalman filter (EKF) is...