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We propose a refractive sensor based on directional coupling between two metal-insulator-metal (MIM) waveguides to measure the refractive index change of the insulator, which is designed to be with a structure of metal-insulator-metal-insulator-metal (MIMIM) in which surface plasmon waves (SPW) are excited. The propagation properties are analyzed by coupled mode theory, and the expressions about the coupling coefficient, coupling length and sensitivity are derived. The sensing properties based on simulation results are also discussed. Compared with a dielectric waveguide, the total size of our sensor with MIMIM waveguide is about one tenth that with dielectric materials, while the sensitivity is improved ten times larger than the former.

In recent years, our province occurs gas and coal dust explosion accident of coal industry producing process frequently. After the accident, rescue personnel can’t go down in time, waste precious rescue time, causing more casualties personnel. To solve this problem, try to design walking mechanism of the underground exploration robot with a strong adaptation to the complex terrain, climbing and crossing barrier ability, we use the software of MATLAB and ADAMS to establish the three-dimensional model of walking mechanism and the disaster area scene and inspect the walking mechanism’s traveling smoothness in the complex terrain. Through the simulation results, we can see that walking mechanism of the underground exploration robot has a good ability to adapt to changes of the ground, effectively regulate the relative balance of the main body of walking mechanism, suitable for explore the environmental information in the underground complex terrain.

According to the low efficiency of vegetable leaf image data mining problems, proposed an improved algorithm based on Apriori algorithm to get greatly related groups. Using rough intensive set algorithm and further processing, excavated every attribute correlation of disease by reasonable divided attribute interval. conclusion shows that the most associated with the suffering degree of size and color, grayscale average.

Aiming at the question of predicting mechanics properties of long fiber reinforced metal matrix composites (MMC) shafts, two periodical arrangement of fiber, namely Square array and Hexagonal array are considered in structure,based on the Micro-mechanics Finite Element Method (FEM), six representative volume element models (RVE) are presented, calculating the Macro-mechanics properties parameters of the material. The results are compared with that of three frequently Micro-mechanics models.On the basis, taking a low pressure turbine as study object,then the results calculated of specified RVE model will be used in modal analysis of shafts with MMC,the numerical simulation method is used to calculate natural frequency, analyzing the influence of layers angles, thicknesses, sequences on modal and natural frequency.

Advanced materials and processes are required to meet the performance goals in the design of advanced turbofan engine, SiC/Ti composite is typically used in low pressure turbine shaft (LPTS). Firstly, establish the viability and effectiveness of composite cylinder assemblage (CCA) micro-mechanics model and representative volume element (RVE) micro-mechanics model which are utilized to calculate the mechanical parameter of continuous fiber reinforced metal matrix composite (CFRMMC), respectively. Results show that RVE model is more applicable to calculate continuous fiber reinforced LPTS. Secondly, parameters of mechanics performance calculated by RVE model are taken as input to build mechanics analysis model of fiber reinforced metal matrix composite shaft structure. The optimal solution will be got by design and analysis of CFRMMC shaft structure with 2 kinds of loads. Compared with deformation and stress of shaft structure with different material scheme, then an optimization scheme of SCS/Ti2AlNb composite of LPTS can be obtained.

With the introduction of a large number of high-definition cameras in safe city construction, it is important to analyze the data of high-definition video camera which densely distributed as the entry point to design a reuse-based high-definition video capture function monitoring and to achieve a virtual mount system. Virtual card mouth research vehicle target recognition technology has become the key technology of virtual mount system construction. This system do video vehicle detection algorithm to realize the vehicle by a bayonet analysis and extraction of moving vehicles can achieve urban networking dispatched for traffic accident and criminal cases to provide effective security information and means to solve the case.

Under the current situation, China's rapid economic development, various new science, emerge in an endless stream of new technology, under the environment of coal mine industry, seize the opportunity, by virtue of its original advantages, coupled with technology introduction and innovation consciousness of the play, ushered in a new period of development, into the modern coal mining era. CAN bus technology is a new technology which has the typical data transmission in coal mining, the introduction of a certain degree of CAN bus technology, not only improve the efficiency of data transmission, at the same time, in terms of reliability and greatly enhance. In this paper, to a certain extent on the introduction of the CAN bus technology, and on this basis, based on the CAN bus in the coal mine field data transmission reliability research and analysis

With the development of society, urban traffic problem attracts more and more attention from people. In view of the current traffic worsening, it hopes to effectively shunt the travelers by the urban traffic navigation system, to ease traffic pressure. This article first analyzes the genetic algorithm in detail, and describes its principle and implementation steps; then specifically analyzes the overall design and design principle of the urban traffic navigation system; and at last gives part of the core code of the system. This paper has a positive effect for the software developer and city traffic management personnel.

This paper proposes an adaptive moving vehicle detection algorithm based on hybrid background subtraction and frame difference. The background image of continuous video frequency is reconstructed by calculating the maximun probability grayscale using grey histogram; Moving regions is gained by frame defference, the initial target image is obtained by background difference method,moving regions image and initial target image AND,XOR and OR operations to get the vehicle moving target images. Experimental results show that the algorithm can response timely to the actual scene changes and improve the quality of moving vehicle detection.

A grey prediction model based on Free Searching (FS) () is proposed in this paper. Firstly, FS is applied to optimize the parameters of the model. The convergence of the FS algorithm is proved in order to show the reasonable of optimization with FS. Then, we give the factors which affect the precision of the prediction by analyzing the model. Based on this, the initial array is transformed. Finally, we predict several times used model and obtain the average of the prediction results’ combination. The experimental results show that the model is feasible, reasonable and effective.

Aimed at the quality issues of current network streaming media playing, it manages by introducing a streaming media caching mechanism to help improve the playing effect. But the cached playing also has its own deficiencies, so here combines the adaptive control algorithm with the caching mechanism to solve this problem. It firstly introduces the streaming media service, and analyzes the transmission process of streaming media and adaptive media playing in detail; secondly analyzes the adaptive control algorithm of streaming media caching from the principle and design of reserving cache algorithm and the balance frame dropping algorithm; and finally gives the core code of the algorithm. This paper has a certain reference value to the video website developers and computer system architecture researchers.

In this paper, faced with the modeling problems of analysis and calculation for iron losses in variable-frequency motor under no-sinusoidal excitation, the author points out a method that the iron losses can be calculated under any magnetic field ,that is waveform-Harmonic analysis method. In consideration of the impact of Power supply harmonics, Core saturation and Skin Effect, the author proposes a new parameter -- Harmonic Loss Correction Factor. From the comparisons between the prototype test results and the theoretical results show that this method has high accuracy and strong feasibility.

It is an important factor that tool size affects the quality and efficiency of complex curved surface of CNC machining. This paper starts with analyzing the functional relationship between the tool size and the quality and efficiency of complex curved surface, gives the selection method of optimal minimum tool which can ensure the precision of machining curved surface, establishes optimal selecting algorithm of reasonable large size tool with the most high efficiency as the objective, and for the curved surface of complex geometric features, puts forward tool combination selection method with effective area ratio of tool machining as a reference. Application examples show: the optimal selecting strategy of tool size in this paper, under the premise of adequately ensuring the machining quality of complex curved surface, can effectively improve the whole machining efficiency.

Based on analysis of the traffic impacts characteristics of the urban commercial complex, the article proposed that single-functional project itself generated traffic volume is related to time, and conforms to the corresponding Poisson distribution function. However, the multiple-functional complex itself generated peak-hour traffic volume is not a simple sum of each single-function peak volume, but is calculated by superposing the each function respective traffic density functions. Meanwhile, the article also explored the superposition and calculation method to obtain peak-hour traffic volume during forecasting the trip generation of the urban commercial complex.

Due to long test cycle, high cost and the complex factors, the long-term deformation properties (such as creep and shrinkage) of recycled aggregate concrete (short for RAC) are rarely reported so far. However this property is essential to fully understanding and widely applying the RAC. Base on investigation on plenty of research results of the long-term deformation of RAC, this paper systematically analyzed the effect of recycled coarse aggregate (C-RA) and recycled fine aggregate (F-RA) on creep and shrinkage performance of concrete. The analysis shows that not only the replacement proportion but also the quality level of recycle aggregate (RA) affect the shrinkage and creep properties of RAC. This outcome could serve as a basis for further research.

with the rapid development of information technology, the deepening of sensing detection and automobile electronic technology, the safety and reliability of vehicle electronic control has been the core problem to be solved in the automotive electronic control system. Sensor detection technology has become an important part of the development of automotive technology. This paper first analyzes the automobile electronic detection technology and sensing detection applications. Based on this, the theoretical framework principle model of automotive electronic software program design has been further deepened, so as to take the electronic program design of automotive anti-collision radar as the empirical analysis example. Finally, the optimization of automotive electronic program software design provides scientific basis and practice way to a certain extent in this field research.

With the development of internet, we usually hope to recommender the possible interested products to the consumers through analyzing to the consumers history records, and obtain better sale records in fruits marketing system. collaborative filtering algorithm is widely used in Fruits Recommendation System, and item-based KNN collaborative filtering algorithm completes clustering and recommendation through analyzing the similarity of the items. Traditional item-based KNN collaborative filtering algorithm could not deal with huge scale fruits sale data effectively to complete recommendation work. In this paper, for the large scale data, we propose a distributed item-based KNN collaborative filtering algorithm based on MapReduce cloud computing platform. The experimental results show that the algorithm has a high speed-up, and a good expansibility.

In order to reduce the dependence on the images' sizes, resolutions and qualities, a self-adaptive block size fingerprint segmentation algorithm based on the gray level co-occurrence matrix (GLCM) is proposed. Firstly, the image is divided into a number of non-overlapped rectangular blocks whose size is automatically determined by the mean of the ridge distance from the spectrogram. Then the contrasts of the GLCM of each block in different directions of pixel-pair could be calculated. Since the variances of these contrasts are different for the foreground and the background, finally, the fingerprint image can be segmented correctly. Experimental results show that the proposed algorithm performs effectively in processing images gathered by various fingerprint sensors in diverse environments.

Radial velocity (RV) of a star caused by Doppler shift could be easily measured by cross-correlated it’s spectrum with a serial template. Generally, the RV error of a spectrum always is given by the widths of the cross-correlation function of the target spectrum and related template spectrum. RV error comes from many factors, causing from instruments, observation weather, etc.. In this paper, simulation with different types of stellar spectra, which has different temperature, is implemented. The results show that there is an internal error which is not generated by the calculation steps for a given resolution step, for example, 5km/s error exists in the cross-correlation based RV measurement method for resolution about R~2000. The simulation also proves that this error could not be avoided for any type of stars.

This paper presents a performance analysis of a solid-liquid hydrocyclone using Ansys-CFX software. Based on the simulation, the influence of particle volume fraction of feed flow, mean diameter of particles and viscosity of liquid phase on the two-phase flow and separating performance has been investigated for optimizing design.

A set of TWACS system is designed and implemented in this paper by analyzing the transmission characteristics of the TWACS signals in the industrial power. And its synchronization information is modulated by pseudo-noise code, and the synchronous detection is conducted by using signal synthesis and time-frequency analysis to determined the demodulation domain, then data demodulation is realized by using cross-correlation technique. This method is able to adapt to the bad channel environment in the industrial power.