Applied Mechanics and Materials Vols. 556-562

Abstract: An attempt to simulate the cascading pillar collapse is made in this paper for a quick evaluation of a large number of mined-out area data that have been collected throughout China. Pillar collapse, load transfer and load redistribution are modeled by the area-apportioned method, and this methodology is general in sense and has been implemented in the expert system developed by the authors as an independent module. The proposed method can provide a quantitative criterion for determination of the failure pattern and identification of the key pillars in the stability analysis of the mined-out area formed by a pillar-room method.

Abstract: The dynamic parameter model based on cellular automata was not taken into account interaction between pedestrian and environment,it resulted in quite different from that of in real life.So a new model was proposed by taking into account one of the interactions:repulsion.In the present work, evacuation involving repulsion problem was studied in the room with single exit.The expanded model based on dynamic parameter model is introduced by using the quantitative of repulsion.The model could be used to explore the different degree of panic through repulsion.The corresponding simulations of pedestrian evacuation with repulsion were carried out. It extends the constraint where the original model was applied. The improved model is more accordance with actual circumstance than the original dynamic parameters model.The improved model is not only expected to model evacuations in detail but also has high efficiency.

Abstract: Operator functional state (OFS) is defined as the time-variable ability that an operator completes his/her assigned tasks. To evaluate the OFS in safety-critical human-machine systems, it is modeled by using the Wang-Mendel-based fuzzy system paradigm in this paper. The fuzzy model is constructed to correlate three EEG features (as model inputs) to the human-machine system performance (as model output). To derive a fuzzy model for real-time OFS assessment, the Gaussian membership function membership crossover point membership grade δ is found to be an essential parameter that controls the robustness of data-driven fuzzy models. The fuzzy models with different δ are applied to the OFS fuzzy modeling. The results have demonstrated that an appropriate value of δ can be selected to derive robust fuzzy models. Compare with the results obtained by fuzzy models based on symmetric Gaussian membership functions, the new approach based on asymmetric Gaussian membership function leads to considerably improved robustness performance.

Abstract: This paper derives a RLS of calculation formula and proposes the use of RLS to identify the parameters of design and simulation methods based on Altera DSP Builder, with the widely using of the least-squares algorithm in real-time control and line identification. According to a given example, the simulation results and analysis are analyzed. The simulation results show that the method this paper proposed have such advantages and application value that simplify the design difficulty and improve design speed, simplicity and flexibility of simulation and other aspects.

Abstract: In low frequency (LF) communication, the main factor of affecting property of LF communication system is the atmospheric noise caused by lightning phenomenon. Amplitude probability distribution of this atmospheric noise is with non-Gaussian characters seriously. Due to influence of various factors, such as occurrence time, physical location and seasons, making analysis of LF atmospheric noise on the receiver communication performance becomes more complex. Therefore, the study of characteristics of atmospheric noise amplitude probability distribution is necessary. In this paper, Firstly, we are on the assumption that the amplitude probability distribution characteristics of atmospheric noise obey Alpha stable distribution; then introduce the Alpha stable distribution model; Finally, we use probability distribution function (pdf) and Quantile-Quantile (Q-Q) plot fitting for Alpha stable distribution according to real LF channel noise data acquired by a high sensitive superconducting quantum interference device (SQUID). Simulation results show the assumption is correct.

Abstract: Video content recognition has attracted more focus these years. In this paper, a basic procedure is introduced and the features used for affective recognition are presented in the categories of vision feature, audio feature and emotion feature. Classical algorithms using in affective recognition are introduced, and we studied the strength and disadvantage of the algorithms. At the end, some advises are given to help improving content recognition.

Abstract: The paper proposes a novel monocular visual odometer method based on Kinect sensor made by Microsoft and the improved SURF algorithm. Firstly the Kinect sensor capture color images and depth images of the surrounding environment, then we use the improved SURF algorithm to extract feature points of the color images and match for them. At last, map what we get with the depth image and estimate the path information of the robot by doing 3D reconstruction and using the the least square mean value theorem. Experimental results show that by using this new method, the average matching accuracy reaches 92.6%. And even in a dynamic environment, it shows good robustness, so it comes down to the conclusion that the combination of the Kinect sensor and the improved SURF algorithm applied to visual odometer is a simple and effective method.

Abstract: Biosparging is one of the effective in situ-technology to removal the organic contaminants. The experiments of removing MTBE by biosparging were carried out in a soil column. the results showed that there were the tailing of contaminants in the column without microorganism according with the microorganism. The removal of organic contaminants by biosparging was simulated by a mathematical model, which considered the advective flux, diffusion, mechanical dispersion, interphase mass transfer and biodegrade. The simulation results agreed with the experimental results well.

Abstract: In this paper we presents a 3D local mapping and localization method with kinect camera. The kinect camera is a low-cost sensor which can provide the information of the RGB image and depth image. The inverse depth parameterization model is introduced to the extended Kalman filter (EKF) to study the location Relations between the camera and feature points. A two-step feature matching method is applied to provide information to SLAM algorithm and synthetize the three-dimensional cloud points. The results of experiments validate the effectiveness of of the proposed local mapping and localization method.

Abstract: In this paper, well-posedness for parametric generalized strong vector quasi-equilibrium problems is studied. The corresponding concept of well-posedness in the generalized sense is also investigated for the parametric generalized strong vector quasi-equilibrium problem. Under some suitable conditions, we establish some characterizations of well-posedness for the parametric generalized strong vector quasi-equilibrium problem.