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Rather than small coverage of direct-transmission and single relay, difficult deployment of MIMO on small terminals, in this paper, it implements a scheme to build a wireless multi-relay transmission system for image transmission based on GNU Radio and USRP platform. Meanwhile, Cooperative relays are used to replace multi-hop networks to enable resource and power sharing. Decoding and forwarding (DF) scheme and optimal relay selection algorithm is proposed. Experimental results show that mutli-relay system has the advantages of large coverage, low bit error rate, increased diversity gain and low cost, while comparing with single relay and direct transmission.

Face as a biometric identification in computer vision is an important medium, in areas such as video surveillance, animation games, security anti-terrorist has a very wide range of applications, creating vivid, strong visibility of 3d face model, now has become a challenging in the field of computer vision is one of the important topics. At first, this paper used the zhongxing-micro ZC301P cameras to build a binocular stereo vision system for recording images. After the camera calibration and binocular calibration, the three-dimensional data of facial images were extracted using the functions of OpenCV computer vision library, and then 3d face model were reconstructed preliminary by DirectX. According the reconstruction process, the human face three-dimensional reconstruction software was designed and developed. The paper laid the foundation for the next step work that is to obtain more clear and strong visibility of 3d face.

In those countries where driving automobiles on the right is the rule, multi-lane freeways often employ the keep-right-except-to-pass rule. To assess the performance of this rule in terms of traffic flow, safety and posted speed limit, we build a dynamic model for mixed traffic flow. In order to analyze easily and clearly, the road is divided into three kinds of road sections. By solving the dynamic model, we find that this rule can promote the traffic flow in light traffic. The traffic flow and safety index can't be high simultaneously and under-or over-speed limits may restrict the traffic flow.

The article introduces quantum clustering inspired from the quantum mechanics and extended to text analysis. This novel method upgrades the nonparametric density estimation and, different from the latter, quantum clustering constructs the potential function to determine the cluster center instead of the Gaussian kernel function. The result of a comparative experiment proves the advantage of quantum clustering over the conventional Parzen-window, and the further trial on authorship identification illustrates the wide application scope of this novel method.

In this paper, we propose a novel semi-supervised model to discover those missing relation types in labeled corpus and fulfill the aim of relation extraction automatically. We combine language information and structured information to represent candidate relation instances. First, we make use of Bootstrapping and Label Propagation algorithms to label the relation instances, whose types have existed in corpus. Second, we use unsupervised method to cluster the remaining relation instances and discover the missing relation types. Evaluation on the ACE2005 corpus shows that our proposed method can achieve ideal experimental results.

SAR-derived wind measurements are in the process of being implemented for operational production within NOAA's National Environmental Satellite, Data, and Information Service. For C-band ENVISAT and RADARSAT-1/2 data, the CMOD5 algorithm is being used; for ALOS data, a special L-band wind algorithm is employed. Comparisons of both C-band and L-band winds with ASCAT scatterometer wind measurements show biases of 0.58 m/s or less and standard deviations of 1.31 m/s or less. SAR wind vectors will be stored in a NetCDF4-formatted file and made available in a number of product formats via the NOAA CoastWatch program.

According to power split-path system of helical gears, mechanism structural model is brought up and the torque equilibrium condition and deformation compatibility condition also can be obtained. On that basis, the power flow of each gear pair is calculated, and the results of power flow in individual installation error are analyzed deeply. The research demonstrates that the errors make the load-sharing of system bad, and the second-stage error affects more than the first-stage error.

In this paper, we propose a novel model for unsupervised Chinese event extraction. We use a multi-information fusion technique to combine two kinds of information for knowledge representation of event instances: language features and structure information. Then, we perform our proposed XLS-means Clustering Algorithm to group the candidate event instances into a "natural" number of clusters, which can fully take into account the similarity of both their language and structure information. The experimental results on ACE2005 Chinese corpus show that our model can achieve better performance than other unsupervised methods.

Relation Extraction is an important research field in Information Extraction. In this paper, we present a novel mixed model to extract relation between named entities in Chinese, which combines the merits of both feature based method and tree kernel based method. Feature based method captures the language information of the text, while, the tree kernel based method shows the structured information of the text. We evaluate the proposed model on the ACE(Automatic Content Extraction) 2005 corpus. The experiments show that our model can identify the majority of the non-relational instances and also has a good precision and recall rate on the identification of various relation types.

Gear mechanism is the most popular transmission mechanism, however, conventional design methods are complex and inaccurate. The optimum design solves the abovementioned problems effectively by means of applying to gear design. In numerous of optimization software, MATLAB holds obvious predominance on program and numerical calculation. Taking single gear transmission as an example, the math model of gear is founded, systematically, on the base of analyzing the foundation of goal function, the selection of design variables and the confirmation of restrictive conditions. The results solved by SQP algorithm prove out that the optimum design, by MATLAB, is effective, reliable and simple.

The proportion of heavy vehicle is very high in Chinese freeway. The presence of heavy vehicle affects the lane choice behavior of cars and some particular phenomena arose, among which is the "heavy vehicles and cars in different lane" phenomenon. Models are present in analyzing the occurring condition of this phenomenon. And the impacts on the operation of freeway when this phenomenon happen is studied in detail using Kinematic wave theory. Finally some measures are put out to release the impact.

An integrated control strategy of urban expressway and traffic signal control is proposed in this article. The object is to minimize the total travel time of vehicles on ramp and intersections based on the precondition that expressway is unblocked. The model used in this article has the following features: firstly, the input flow to a segment is set to be zero when its density has achieved jam density; the second, ALINEA control approach is adopted for ramp study so that expressway is ensured to be unblocked; the last, the cycle and green time of intersection can be optimized dynamically to maximum the whole benefit of expressway and surface street. The model and the control approach have been illustrated via a simple case study, which shows that integrated control approach proposed in this paper resulted in a reduction of the total travel time compared to fixed-time control.