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The reasonable scheduling of tasks can maximize the conservation of resources, improve the utilization rate of work resources. The current task scheduling regards task conflict have already occurred as the prerequisite, and passive coping strategy is adopted, the model is built based on the prerequisite...

In the design of LTE system, the multi input and multi output (MIMO) platform is taken as the basic configuration, high speed data transmission business is realized, due to multipath channel reorganization produced spatial focusing, intersymbol interference leads to channel imbalance, in order to improve...

Effective guidance on data flow in large multimedia teaching system, can service student to the greatest degree. With the growth of covered data of multimedia teaching system, a lot of useful teaching information will be drown in the deluge of information in multimedia teaching. Using the traditional...

A new method of orthogonal poly-phase code design is proposed to improve signal orthogonality and Doppler tolerance for MIMO radar system. First, eight-phase code which has a better compromise of freedom and processing complexity is generated by Walsh matrix. Initial code sequences are chosen from the...

In order to improve the rate of first wish, we propose that the C4.5 decision tree classification algorithm is applied to a college graduate enrollment. The candidate information is processed, decision attributes are selected and decision tree is constructed. From extracting rules, it can acquire the...

In the evaluation of equipment system of systems(SoS), equipment data has shown some new characters, such as big volume, wide range sources, and dynamic variance. The paper pointed out the idea to evaluate equipment SoS based on big data analysis techniques. The outline of the method is provided from...

In the design process of automobile data recorder detection system in the intelligent traffic management system, the traditional design method is difficult to resist the interference due to external environment, making the image of automobile data recorder is obscure, resulting in low detection precision...

Nowadays, distributed systems have been used everywhere, some for online applications, such as Apache HBase [1] and Cassandra [2], and some for offline applications, such as HDFS [3] and GFS. These systems achieve good result and largely reduce the cost. Due to the fact that distributed system is generally...

A method for wind speed retrieval is developed by applying fitting techniques with the ratio of signal to noise. The method is applied to the wind speed retrieval from the nautical radar images. And we get a correlation coefficient of 0.88 and RMS error of 1.34m/s by comparing the data from the radar...

A Coarse-Grained Reconfigurable Architecture targeted on block cipher is designed in this paper, which can meet the needs of various cipher supporting in the security applications and enhance the performance of these ciphers. By analyzing the character of the execution and data structure of block ciphers,...

In this thesis, the main part is the research on the Video-On-Demand. Using an adaptive streaming media transmission program, according to network conditions on the video-on-demand server control pro tournament at the same time adjust the client's cache, so that the client be able to smoothly carry out...

In order to control system transient stability and improve TSCOPF’s computational efficiency, the paper, based on analyzing the existing problem of multiple faults’ transient stability constrained optimal power flow trace sensitivity, introduces strict judgment of transient stability in TSCOPF model...

For the influence caused by illness condition of suffered limb on system stability when robot makes rehabilitation training on assisted suffered limb, on the basis of the traditional impedance control method, this paper puts forward one kind of impedance control method based on fuzzy neural network....

According to the working characteristic of the transformer with multi-magnetic circuits, a simulation model of the transformer with multi-magnetic circuits is established , by using of simulation model and SD-3 type monitor in the ship-breaker’s verifying equipment, close making angle can be selected...

In various scientific experiments, experimenter always get some discrete data, to estimate the function with the original rules from these data, interpolation is a method for dealing with this kind of problem.But when the discrete data is too much,it can be caused serious distortion which is called Runge...

The coal conveying system is the most important composition unit of continuous mining machine, the performance of coal conveying system plays a decisive role in production efficiency, this equipment is easy to cause the fault, in this paper, the faults often appeared in this equipment and the fault reasons...

Linear instability theory can evaluate the beginnings of instability in a liquid sheet. It provides a good starting point for predicting unstable, wave-type behavior in a liquid sheet with disturbances. An existing linear instability analysis method was used to investigate the breakup of a conical sheet...

The basic process of air flapper valve was analyzed and the mass flow rate model of air flapper valve was established. The loss of flow through the air valve was considered. The opening process of the flapper was modeled with a non-viscous model, and the closing process was modeled with a viscous one....

As the improvement of people's living standard, the content of trace elements in food more and more attract the attention from people. In this paper, I integrate all the analysis situation from Catalytic Kinetic Spectrophotometry to trace elements in the food over the past ten years. Through the NH3-NH4Cl,...

the traditional design of campus network adopts BP neural network to build the model for evaluating network information of network model, since the information exchange reflected in campus network is between individual and individual, randomness and model property factors of network information are prominent,...

The massive data query methods in database is studied to improve accuracy of query. In the process of data querying in the database, once the data volume is overflow and thetype of data becomes complex, the query requires a lot of restrictions, resulting in time-consuming and low query accuracy rate...

During the study process of mobile terminal three-dimensional reconstruction program development based on Android, due to the adoption of the current algorithm for 3D image reconstruction program development, the definition of established model is low, leading to the problem of poor fidelity for 3D image...

After analyzing the interface work principle of the lattice font supported by QT and UCDOS font feature,It is found that the open source QT is lack of the lattice font more than 16*16 size. For this shortcoming, the UCDOS font is combined with the QT seamlessly. Thus, the QT can use any font in the UCDOS...

In order to truly reflect the object situation of catch and place of the three-DOF parallel manipulator based on machine vision, and on the basis of the modeling of the trajectory and mechanical structure, this paper mainly focuses on the analysis on the manipulator system by using the co-simulation...

This paper presents an approach for the estimation of two-directional (2D)direction-of-arrival (DOA) using Acoustic Vector Sensor array based on greedy block coordinate descent(GBCD) algorithm, which can achieve faster convergence rate and better estimation accuracy. Moreover, a weighted form of block...

Personalized recommendation technique is an important technology to solve information overloaded in e-commerce. But recently new commodities are emerging constantly, so it is required to recommend commodities that consumers aren’t familiar with but interested in. Consequently our study proposes a method...

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...

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, 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...

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...

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...

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....

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...

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...

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...

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,...

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...

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...

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...

Aiming at the solar photovoltaic characteristics and the lower transformation efficiency problem in grid-connected photovoltaic power generation, a maximum power point tracking (MPPT) algorithm is put forward. According to the changes of amplitude and frequency of power-grid voltage, the proposed algorithm...