Applied Mechanics and Materials Vols. 341-342

Abstract: High density resistivity method is convenient to be used for explaining the prospected images with efficient information. In the paper, this method was used to detect the quality of watertight screen in the north slope of Gushan open-pit mine. By through inversion, analysis, explanation and speculation, the obtained results showed that the watertight screen was effective in anti-seepage, which provided technical support for the safety of slope extension at Gushan open-pit mine.

Abstract: In this paper, a closed-loop control system was developed using fuzzy logic to adapt the parameters of a pharmacokinetic (PK) model. The system is based on a two-compartment PK model with first-order rate process of oral administration. The fuzzy logic adaptation scheme uses the error and the change in error as the input variables. The output variable of the fuzzy controller is the scaling factor to adjust the PK parameter. The fuzzy controller adjusted the real situation concentration to the reference value derived from the parameters of population mean data according to the established rule-base. The simulation results show that the controller provides good performance to adjust the concentration with the reference values.

Abstract: The technical features of RFID and sensor network, and inherits the RFID radio frequency signal characteristic of automatic target recognition, at the same time, the implementation of a wireless sensor network active perception and communication function. This paper analyzed the wireless sensor network integration of ZigBee and RFID technology; each node can be coordinated in real-time monitoring, sensing and collecting network of regional distribution of a variety of environmental or monitoring information. The paper puts forward the development of wireless sensor network based on ZigBee and RFID technology. Wireless sensor network is Zigbee and GSM is used for data communication based on sensor networks.

Abstract: The mobile agent route is essentially a multi-constraint optimization problem, Genetic Algorithms has fast random global search ability, but the feedback information of the system does not use and has the problem of low efficiency of finding exact solutions, propose a genetic hybrid ant colony algorithm for WSN mobile agent route. Use of the fast random global search capabilities of genetic algorithm to find better solutions, then the better solution replaced by the initial pheromone of the ant colony algorithm, finally use the advantages of convergence speed of ant colony algorithm to find the global optimal solution for mobile agent route. Simulation results show that the algorithm can find optimal mobile agent route in a relatively short time, relative to other routing algorithms, reducing network latency and average energy consumption, improving the speed and efficiency of data transfer.

Abstract: For reducing the communication overhead of data aggregation, authors proposed a probabilistic transmitting-based data aggregation scheme for wireless sensor network. Due to limited number of nodes in the cluster and aggregation error is unavoidable; nodes adopt the probabilistic transmitting to lower the communication overhead with tolerable error. In order to prevent the influence of big noise, Dixon criterion was adopted to eliminate the gross error in the small sample. Experiment shows the proposed scheme reduces the inner-cluster transmissions and lowers the communication overhead effectively with tolerable error. The aggregation error of probabilistic transmitting and all nodes transmitting are at the same level and both are acceptable for wireless sensor networks.

Abstract: Most of control systems choose velocity and distance as the control parameters for vehicle longitudinal control in the case where no inter-vehicle communication is available and have poor response capability under urgent conditions. The purpose of this paper is to propose new approach to estimating relative acceleration information for vehicle longitudinal control without inter-vehicle communication. Approach is based on design tracking differentiator to filtering and estimating velocity and relative acceleration signal. But for traditional tracking differentiator with many parameters, the trial and error method is adopted in parameters choose process. The number of tracking differentiator parameter is too many to be used effectively in fact. So, new tracking-differentiator with only one parameter is designed in this paper. Theoretical analysis and computer simulation prove that the designed tracking-differentiator can accurately estimate relative acceleration information.

Abstract: Sensor networks play a central role in the Internet of things, which attracts lots of attentions recently. Mathematical models are of much help to explore intricate scheduling on the sensor node or interactions between different sensor nodes. Although many existing approaches have shown that the sensor network behaves like a hybrid system, where discrete character and continuous character exist together, few of them have attempted to consider two characters together. In this paper, we propose a novel quantitative modeling framework based on Fluid Stochastic Petri nets (FSPNs), and provide comprehensive theoretical analysis to a typical sensor network example. Our modeling framework, which combines advantages of both Stochastic Petri Nets (SPNs) and Hybrid Functional Petri Nets (HFPNs), reflects the hybrid nature of sensor networks, and at the same time eases the problem of state space explosion. The modeling mechanism proposed in this paper constructs sensor network models that are comprised of both stochastic processes and fluid flow approximation technique. From the evaluation, it's shown that the new method performs well.

Abstract: Wireless sensor networks are often deployed in open or even hostile environment, its security problem is very prominent, Data aggregation is easily to be attacked for security during the specific implementation process. In order to reduce the transmission of redundant data and enhance security, this article proposed a secure data aggregation and authentication scheme, .data was gathered according to the mode code, collection data was transmitted in encrypted form which will be selected nodes, ensured the confidentiality of the data; A session key was generated and delaied aggregation and authentication by using counter, ensured the integrity , authenticity and freshness of data during the transmission .The security analysis showed that the program had higher security which resisted the attack initiativly, node compromise attack and select forwarding attack and other malicious behaviors.

Abstract: In order to deal with the conflict of the robot high-performance implementing the task in an uncertain environment, environmental modeling method based on ultrasonic ranging was adopted. By the complex environmental modeling mean of combining the methods of grid and geometry, relying the measurement data of the adjacent multi-ultrasonic and the correlation among the data, the environmental modeling was established effectively. The modeling characteristics analysis showed that: the robot can easily make obstacle avoidance, path planning and decision-making in the grid-based modeling. The accuracy of the modeling is high, and it can detect and update the complex regional expediently. The environmental modeling based on ultrasonic ranging can effectively solve the problem of mobile robot implementing the tasks efficiently in the actual complex environment.

Abstract: The article introduces the global research background and research achievements of the renewable energy resources micro grid dynamic energy management system (dynamic EMS).it will also describe the important effects of information technology used in smart grid. Furthermore, the building automation system are introduced and analyzed.