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In this paper, the design procedure of an auto-focusing device for a microscope is presented. To obtain a long focusing distance, a new flexure positioning mechanism is devised based on multi-stage leaf springs. The proposed device allows a precise focusing without friction and backlash effects. A voice coil motor is employed to drive the positioning mechanism. The stiffness model and resonant-frequency...
This paper presents a method for dimensional synthesis of a three degree-of-freedom three-prismatic-universal-universal (3-PUU) translational parallel manipulator (TPM) considering the kinematic dexterity property at the same time. A mixed comprehensive dexterity index (CDI) making a compromise between the condition number of Jacobian matrix and the manipulability within a desired cylindrical workspace...
Combined the driving features of the spherical robot with Internal-Driven and Wind-Driven and took the special environment into account, this paper proposes a spherical robot structure with Mixed-Driven, both Internal-Driven and Wind-Driven, which is mainly consists of a flexible spherical shell and a drive module. The robot can be driven by the wind, as well as improve the capability of climbing...
Switched reluctance motor system is a novel electromagnetic system with good application prospects. The loss from the power converter is one of the main issues for the design and operation of the system. In this paper, the methods to calculate the power loss of the power converter in switched reluctance motor drive are introduced. The simulation model for the whole system is built, which can calculate...
Basing on the fact that the cartoon and texture in one image have different morphological characteristics, we propose a new model to zoom image. Combining with RDWT, the dictionary sparsely representing the cartoon, and WAT, the dictionary sparsely representing the texture, the presented model can effectively obtain the cartoon and texture. Then, we zoom the cartoon by C&E model and zoom the texture...
The interpolation causes the frequency aliasing in intrinsic mode functions (IMF) in bi-dimensional empirical mode decomposition (BEMD). The local orthogonality or the computational complexity of the improved BEMDs can not be met. In this paper, a novel BEMD — local estimation empirical mode decomposition (LEEMD) is proposed. Particularly, the local estimation instead of the interpolation without...
Model checking technique currently has been applied to a wide range of problem domains. Among them, verifying the reliability of software systems becomes much more significant. However, as to software with complex structure and large scale, the verification process suffers from the state space explosion, thus leading to the resource exhaustion and low efficiency. In this paper, we propose a method...
High-dimensional data analysis and its great chances of overfitting result in great challenges for constructing efficient models in practical applications. To overcome these problems swarm intelligence algorithms can be utilized. However, the balance between global and local search throughout the course of a run is critical to the success of an intelligence optimization algorithm. Moreover, almost...
Genetic algorithm (GA) is widely used because it is an efficient, effective and robust optimization method. However, it needs a lot of computational time to find the optimal solution, especially when the objective function is complex. To overcome these difficulties, the concept of immunity based on vaccination is integrated into GA to promote the reproduction of excellent schemata. Furthermore, in...
This paper studies the performance test in big data application. The existing performance testing technology is not suitable for the big data application. The paper proposed test technology for performance testing. The technology provided test goal analysis, test design, load design for big data application. The character for different application could be supported to consider specific multiple test...
The Group Search Optimizer(GSO) is a novel optimization algorithm, which is inspired by searching behavior of animals. In this paper, we proposed an improved GSO algorithm named Fast Global Group Search Optimizer(FGGSO) to increase searching speed and balance the exploitation and exploration of the algorithm, which is based on our previous works. At first time, considering the complexity and time-consuming...
In this paper, a genetic algorithm with combined operators is proposed for the permutation flowshop scheduling problems with the minimization of makespan. First, various operators were tested to choose efficient operators. The crossover operators are combined with suitable mutations operators. Three combinations are selected. They are “010” crossover with shift mutation, cycle crossover with adjacent...
Cognitive radio network security has become an important issue affecting the development of cognitive radio technology. Primary user emulation attacks(PUEA) is a common attack in the Cognitive radio network. In the scheme, we choose cooperative spectrum sensing system as our model and soft fusion as our Fusion method. We analyze the impact of PUEA on the system performance in the traditional maximal...
With the scale of the urban population, urban rail transportation increasingly plays a heavy role in the sharing of passenger traffic in the cities. For the safe operation of the rail transportation system, there is need to analyze the characteristics of urban rail transport passenger flow. In this paper, based on the operation data of Beijing Metro Line four, the relevant indicators will be statistic,...
The prediction of the track quality (TQI) is paid much more attention than ever before since the steel track is directly related to the safety and the comfort of the railway vehicles. In this paper, a method so called Markov-Grey GM(1,1) model is applied for predicting the TQI. The result of the comparison between this new method and the traditional grey prediction theory shows that the precision...
This paper introduces the common prediction methods of vehicle ownership, and makes a compare of the Gompertz model with Logistic model. As a result, a prediction model based on the Gompertz model is proposed to predict the electric vehicle ownership of China. Then, the calculation of the model's parameters is given. Finally, we predict the electric vehicle ownership with the civilian car ownership...
Intrusion detection Systems(IDS) can produce large amount of alert data which usually possesses the characteristics of high redundancy and high repetition. Such kind of data makes the event processing for network security significantly difficult. Current cluster algorithms use cluster center to calculate the distance which leads to fairly big calculation errors. In order to aggregate the massive alert...
A detailed design scheme of SCA-based communication system is introduced. The system architecture, software platform, hardware platform and design guides are then de scribed. After analyzing the characteristics of ad-hoc network, a design process of application waveforms and components of SCA-based ad-hoc network is proposed. The ad-hoc network radio is based on GPP+DSP+FPGA hardware architecture,...
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