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The AR model method was applied in this paper to analyze the information extraction of vehicle vibration signals in highway traffic flow. Based on the sample data and appropriate AR model method, the feature vectors were used to distinguish different vehicle models. The proposed feature method in vehicle signal recognition technology can achieve the requirement of auxiliary determination. It demonstrated that the feasibility of model identification and feature extraction using the highway vehicle vibration signal. The result showed that the AR model is an effective method in vehicle type classification.

Diabetic neuropathic pain is a common clinical problem and remains difficult to treat with classic analgesics. Spinal dorsal horn neurons are important in mediating nociceptive signaling, and the hyperactivity of these neurons is critical in diabetic neuropathy. In this study, we determined the GABA B receptor expression level in dorsal horn neurons in streptozotocin (STZ)-induced diabetes in rats by using reverse-transcription polymerase chain reaction (RT-PCR) and western blot analyses. Mean blood glucose concentrations were significantly higher and the paw withdrawal threshold was significantly lower in STZ-treated rats than in saline-treated rats. Immunohistochemical staining showed that the GABA B receptor was extensively expressed in the spinal dorsal horn neurons. The GABA B1 mRNA level decreased in a time-dependent manner in STZ-treated rats compared with saline-treated controls. Furthermore, the protein expression level revealed by western blot analysis was lower in STZ-treated rats than in saline-treated rats. These data suggest that GABA B receptors are downregulated in the spinal dorsal horn in this model of STZ-induced diabetic neuropathic pain. The reduction of GABA B expression may contribute to the hyperactivity of spinal dorsal horn neurons and diabetic neuropathic pain.

Distributed Source Coding (DSC) is one of the most promising collaborative information processing technologies for Wireless Video Sensor Networks (WVSN) because its low complexity video encoder is suitable for resource limited sensor nodes. Generic sensor nodes with limited energy are restricted with computation and communication capabilities, therefore, traditional video coding such as MPEG-4 or H.264 is too complicated for sensor nodes. In this paper, the concept and the predominant methods of distributed source coding are introduced briefly. Moreover, how to apply distributed source coding appropriately in multi-source multi-camera wireless video sensor network is investigated. Traditional distributed source coding technology is asymmetric but sensor nodes in WVSN are homogenous, therefore, symmetric distributed source coding appropriate for multi-camera wireless video sensor networks is discussed. Moreover, multi-source symmetric distributed source coding is investigated because there are a mass of sensor nodes in the WVSN. As we known, it is the first exploration about multi-source distributed source coding technology.

Mobility models characterize mobile users' movements of location, velocity and acceleration for the difficulty to obtain traces in real world. A classification of proposed and applied mobility models for MANET (mobile ad hoc networks) are given in this article firstly. The probability distribution of nodes is a basic foundation for the theoretic research of mobility models for MANET, such as the work of network connectivity, average path length, network capacity etc. Researchers have found non-uniform node distribution impairs the validity and credibility of many aspects of wireless ad hoc networks, such as protocol evaluation and connectivity, for they are both based on uniformity node distribution assumption. Integral geometry method is employed in this paper to analyze the node probability distribution of random direction mobility model in MANET. The results of this paper provide precise theoretic foundations, simulations and applications of ad hoc network of random direction mobility model.

WSN (Wireless Sensor Network) is constrained by limited radio propagation range as well as battery life. Multicast is an efficient method to support group communication and decrease communicating energy. It is challenging to design multicast routing protocol for WSN. The mesh-based protocol ODMRP (On-Demand Multicast Routing Protocol) is our focus. Its forwarding group can be used not only for delivering multicast traffic from base station to sensor nodes but also for reverse routing from sensor nodes to the base station to assemble data. The feasibility and improvement of ODMRP for WSN are analyzed by modeling and simulation. Results show that associated with network design including node density and initial energy we can apply ODMRP efficiently.

We make some modifications in this paper to the DAP-NAD-CJ (deterministic adaptable priority net access delay with cycle jump) algorithm for multicast applications. The new algorithm assigns wireless channel access slot unevenly between stations in the network so that the multicast source can access channel as fast as possible. We then proved by calculations and simulations that the modified algorithm outperforms DAP-NAD-CJ greatly in both single priority and multi-priority networks.