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In vehicular network, high reliability and low latency of communication ensure the driving safety. In order to avoid traffic accidents, it is important to warn surrounding vehicles before a potential traffic accident occurs as soon as possible. In the case of short spectrum resource, a reasonable resource allocation for alarm information is critical in V2V (Vehicle to Vehicle) communication. In this paper, a modified scheme is introduced by taking account of vehicle's priority level and spectrum availability to allocate the frequency resources to upcoming cars. The connection among priority level vehicles will be ensured and channel congestion caused by the surrounding vehicles will be drastically reduced while spectrum resources are insufficient. Simulation results show that the combinative use of sharing vehicle level and available spectrum resource improves the efficiency of spectrum resources, shortens the access-time of alarm information on the premise of successful communication, and improves the safety of vehicle driving.

Single image 3D face reconstruction technology has a broad application in the life, also has a high technical difficulties. This paper proposes a single image 3D face reconstruction technology based on statistical model. The method established 3D face statistical model based on 3D face database in advance, and trained 2D facial feature points parameter model based on the 2D face database using the algorithm of SDM. when reconstruct 3D face model from single image, first we use 2D facial feature points parameter model to extract face feature points; Then, according to 3D face model, we use adaptive learning factor gradient descent method to iteratively optimize the energy function, to get statistical model parametric vector, namely got the 3D face model corresponding to the 2D face images. The results show that use the proposed method to rebuild the faces have high similarity.

In this paper, we firstly explored the attributes of knowledge embedded in outsourced software projects. We identified three attributes of knowledge by a review of literature and referred to these as codifiability, complexity and novelty. Drawing on organizational controls, social capital and knowledge transfer literature, this paper presented a model demonstrating the role of particular organizational controls (outcome, process and social) in knowledge transfer between client and vendor characterized by different knowledge attribute. Especially, we examined how social capital dimensions (structural, cognitive and relational) affect the transfer of knowledge between client and vendor. We also showed the role and impact of information and communications technology (ICT) on outsourced software projects especially on offshore projects which faced with cultural differences, language differences, time zone differences, geographic distance and other challenges. Results showed from the perspective of vendor, in order to acquire and transfer knowledge from client more effectively, Chinese enterprises should make full use of ICTs to built social capital with client.