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Test case prioritization problem (TCP) has been widely discussed. It aims to controlling the test case execution sequence to improve the effectiveness of software testing. The key issue of TCP is to identify which test cases can provide useful information for failure detection and fault localization. So far, many TCP approaches have been proposed. Among them, Adaptive Random Testing (ART) and Dynamic...
The correlation between Mechanical stimulation of human body and sEMG signals is discussed. Based on a multi-information sampling system, the mechanical stimulation and sEMG signals of human body can be obtained. The results indicate there is a remarkable relationship between the mechanical stimulation and sEMG signals, and may provide theoretical basis and significative information for finding out...
Differential Evolution (DE) is a simple yet efficient stochastic algorithm for solving real world problems. Binomial crossover and exponential crossover are two commonly used crossover operators in current popular DE. It is noteworthy that these two operators can only generate a vertex of a hypercube defined by the mutant and target vectors. In this paper, using intermediate recombination to generate...
In the process of making radio programs, Radio stations need to get a IoT of audio material, which are usually stored on the FTP server. The traditional radio program production station will download each audio, and do not consider the server's and the local environment, using a single-threaded download, which results in poor user experience. This paper designs an efficient download mechanism, which...
We conducted one of the most comprehensive many-antenna MU-MIMO channel measurement campaigns ever reported. Our measurement system supports full mobility with very high time-frequency resolution. We report channel traces in the UHF, 2.4 GHz, and 5 GHz bands, in diverse environments, with up to 104 base-station antennas serving 8 users. We characterize channel stability and capacity across these bands...
This paper proposes an improved method of fault diagnosis for power electronic circuits with multiple discrete events. The proposed method is based on the mixed logic dynamic (MLD) model and the fault events identification. On one hand, the establishment of the MLD model effectively describes the character of condition transition and control transition in the circuits, and improves the accuracy of...
This paper considers the stabilization of an unstable discrete-time linear system that is observed over a channel corrupted by continuous multiplicative noise. The main result is a converse bound that shows that if the system growth is large enough the system cannot be stabilized in a mean-squared sense. This is done by showing that the probability of the state magnitude remains bounded must go to...
Based on theoretical research of the influence of Doubly Fed Induction Generator (DFIG) on equivalent system, it is offered that the oscillation is affected by the characteristic of wind turbine. The qualitative analysis shows that the influence of reactive power voltage control mode and protection mode of wind turbine to oscillation mode are unignorable. It is studied that the influence of DFIG active...
Based on an equivalent system model, new oscillation emergence phenomena of three-group oscillation mode are focused after the traditional separation measure in which new oscillation center distribution character and regularity, its impact on separation measure are studied. The simulation results of Northeast Grid, Northwest Grid, East China and North China Grid of China validated the presented new...
With the planning and constructing of UHV grid in China, some huge thermal plant bases are going to be connected to the receiving grid via UHV transmission lines. Therefore, it is significant and urgent to study the ATC (available transfer capability) of the point-to-grid transmission system quickly for each connection scheme in planning stage. In the paper, firstly, the physical mechanism of ATC...
This paper selects 204 companies listed in Shenzhen SME board from 2009 to 2011 as the research objects, empirically analyses the relationship between SME board listed companies' corporate governance structure and R&D investment. The regression results show that ownership concentration is not beneficial to SMEs' R&D investment, and a certain extent of outside blockholders has a positive effect...
Motion detection is a basis step for video processing. Previous works of motion detection based on deep learning need clean foreground or background images which always do not exist in practice. To address this challenge, a novel and practical method is proposed based on auto-encoder neural networks. First, the approximate background images are obtained via an auto-encoder network (called Reconstruction...
Traditional K-means clustering algorithm easily fall into local extremum. A maximum distances product algorithm is used to optimize the initial clustering centers and a K-means clustering algorithm with simulated annealing (SA) is promoted. The proposed method uses SA to optimize the clustering pattern in clustering analysis which can achieve global optimization. A combination model based on support...
This paper proposes a method to improve attack efficiency of fighter aircraft in a complex electromagnetic environment, by analysis jamming in air BVR combat, and anti-jamming capability of missile, kill efficiency models of double air-to-air missile fusillade(DMF) is established. Through the calculation results of an example, the optimal plan of BVR air-to-air missile(AAM) fusillade is got to improve...
The pose (position and orientation) errors joint-clearance-due influences the accuracy of 6- dof parallel manipulator significantly. In this sense the error modeling approach becomes imperative. In this paper, a new statistical model which based on forward kinematics is presented. Firstly, the structure of joint clearance and 6-dof parallel manipulator is analyzed and simplified. The forward kinematics...
In recent years, there are a great deal of efforts on sequential pattern mining, but some challenges have not been resolved, such as large search spaces and the ineffectiveness in handling highly similar, dense and long sequences. In this paper, we mainly focus on how to design some effective search space pruning methods to accelerate the mining process. We present a novel structure, Prefix-Frequent-Items...
An adaptive learning control algorithm is developed for a class of high-order nonlinear systems with both parametric and non-parametric uncertainties. The unknown time-varying parameters are estimated by a periodic repetitive learning strategy. To tackle the non-parametric uncertainties, the unknown periodic reference input signal is expanded with the sum of finite Fourier series and bounded truncation...
Web services are emerging as a major technology for deploying automated interactions between distributed and heterogeneous applications. To predict dependability of composite service processes allows service users to decide whether service process meets quantitative trustworthiness requirement. Existing contributions for dependability prediction simply trust QoS information published in Service-Level-Agreement...
Previous methods have presented convincing arguments that mining complete set of patterns is huge for effective usage. A compact but high quality set of patterns, such as closed patterns and maximal patterns is needed. Most of the previously maximal sequential pattern mining algorithms on high dimensional sequence, such as biological data set, work under the same support. In this paper, an efficient...
By analyzing the algorithm of Scale Invariant Feature Transition (SIFT), in the process of the experiments, we found, the original image will become serious fuzzy after Gaussian smoothing. At this time, if we do matching directly using the algorithm of SIFT, the matching results will produce many wrong matching points, the number of the feature points successfully matched will be reduced. We found...
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