Applied Mechanics and Materials Vols. 380-384

Abstract: In 2012, the ministry of agriculture released data showed that the import and export trade deficit of China's agricultural products had reached 49190000000 US dollars. China is a large agricultural country, agricultural crop occupies world front row, but export transactions accounted for the total trading lower percentage, the main reason is the quality testing technology that does not pass, detection technology is relatively backward, in this background, this paper puts forward a kind of advanced agricultural products quality control technology - computer visual information retrieval control technology. On the basis of the two-order upwind and linear interpolation theory, the use of image segmentation technology can successfully establish a computer vision inspection of agricultural products to mathematical model, and the establishment of the interpolation functions. Finally this paper is based on peanut detection as an example, the 50 cases of peanut quality are detected by using computer vision nondestructive technology testing, and the use of MATLAB software carries out mathematical statistics for its quality situation, the test results and the artificial inspection results are compared to verify the reliability of computer vision quality detection.

Abstract: Observable condition for multistation range-only system was analyzed according to the characteristics of underwater target localization in the conditions of network warfare. When the target is stationary or travels in straight-line movement, it is able to be observed by range-only system. The target localization parameters are estimated by least squares estimator algorithm, which has simple form and does not need initial values. Simulation results show that the algorithm has fast convergence speed, good stability and high accuracy.

Abstract: This paper has proposed adaptive resources allocative decisions in OFDMA system based on Ant Colony Algorithms.The problem was modeled as finding a minimum cost path in a graph. The antssolution construction was guided by pheromone trail and heuristic information.Due to the unique heuristic searching mechanism of the ant colony algorithm,the proposed algorithm is guaranteed to converge quickly tto an approximately optimal solution.Simulation results show that the performance of the proposed algorithm is close to the optimal solution ,and gains 1-2dB in comparison with the fixed allocation scheme.

Abstract: In this paper, the aircraft braking simulation platform is implemented to simulate the aircraft translational energy. Considering the disadvantages of conventional facilities with fixed-mass inertia disc, such as discontinuous regulation, one novel aircraft braking simulation platform structure and inertia simulation strategy is proposed. The simulated inertia can be regulated smoothly within a specific range with the proposed method and airplanes with different inertia can be simulated on one simulation platform. Another advantage of the proposed method is that the aerodynamic drag, engine thrust and nose-wheel rolling resistance can be compensated as well. The experiment results verify the proposed method.

Abstract: A MANET is an autonomous infrastructureless network system of mobile hosts which are connected with each other via wireless links. The traditional routing protocol for wireless MANET is unable to achieve balanced energy consumption and could not adapt to the dynamic topology changes well. A novel on-demand algorithm is proposed based on energy balancing and LMST algorithm. The proposed algorithm excludes the unstable links in routing discovery, and allows the node with more energy forward the routing request packet preferentially. The simulation experiments demonstrate, comparing with the LMST algorithm, the algorithm increases the average life time, decreases the average transmission power, and achieves energy balancing in the network and prolong the life-span of the network, which shows the proposed algorithm is highly practical.

Abstract: The simulated annealing algorithm is applied on traveling salesman problem (TSP), which the genetic algorithm solving in while the earliness phenomena appear. Modeling and Simulation about TSP Based on Simulated Annealing Algorithm have been done. The simulation results have proved that the simulated annealing algorithm is better in searching in the global searching than the genetic algorithm.

Abstract: Knowing the ProteinRNA interactions often provides useful clues for finding its biological function in a biological system. Dimension reduction method is one of most famous machine learning tools. Some researchers have begun to explore dimension reduction method for computer vision problems. Few such attempts have been made for classification of high-dimensional protein data sets. Here, dimensionality reduction algorithm is introduced to predict the protein-RNA interaction sites. Our jackknife test results indicate that it is very promising to use the dimensionality reduction approaches to cope with complicated problems in biological systems, such as predicting the protein-RNA interaction sites.

Abstract: Q-learning algorithm is usually used for traditional mobile robot navigation. The traditional Q-learning methods have the problem of dimension disaster, which may be produced by applying Q-learning to intelligent system of continuous state-space. Besides, the learning activity and efficiency are low. In order to solve these problems, a new method called ARTQL is proposed, which combined ART2 network with the traditional Q-learning algorithm. Then, a learning mechanism called novelty driven is proposed to lead the ARTQL algorithm to learn more actively and efficiently. Through the ARTQL with novelty driven mechanism algorithm, Q-learning Agent in view of the duty which needs to complete to learn an appropriate incremental clustering of state-space model, so Agent can carry out decision-making and a two-tiers online learning of state-space model cluster in unknown environment, without any priori knowledge, through interaction with the environment unceasingly alternately to improve the control strategies, increase the learning accuracy, activity and efficiency. Finally through the mobile robot navigation simulation experiments, we show that, using the proposed algorithm, mobile robot can improve its navigation performance continuously by interactive learning with the environment with high autonomous.

Abstract: There is much research focusing on natural phenomena simulation in virtual reality and computer graphics. Liquid is chosen as our research object, because it is one of the most common natural phenomena. A particle-based modeling method for dynamic liquid simulation is presented in this paper. In our approach, accurate solutions for the Navier-Stokes equations are first accomplished in an Euler-based grid at each time step. This returns a velocity field calculated based on the pressure solved from a converted Poisson equation. Finally, particle movements are advected through this velocity field in order to simulate the dynamics of fluid volume. Experiment shows that visual effect which can satisfy users requirement is achieved by this method. This application has promising potentials in the areas of movie making, computer games, virtual construction and virtual simulation in medicine, etc.

Abstract: According to the problem that the difference of test mode, mixed quantitative and qualitative information of electromechanical equipment state prediction, a state prediction method based on information fusion was proposed in this paper. It was used DS evidence theory to fuse decision level information of electromechanical equipments at this method. Simulation results showed that it is feasible and effective that information fusion technology is applied on the state prediction for mechanical and electrical equipment. Information for decision-making integrated repeatedly by different forecasting methods, can greatly reduce the blindness of judgment and improve the accuracy of state prediction.