Applied Mechanics and Materials Vols. 128-129

Abstract: For the vibrating subsoiler, considering the material acting force, the system is simplified as a single degree of freedom weight-spring-damp model which will simulate the vibrating subsoiler system based on Automatic Dynamic Analysis of Mechanical System (ADAMS). The analysis result shows that the vibrating subsoiler can not perform well under conditions of high vibration frequency and advance speed.

Abstract: In Ad hoc On-Demand Distance Vector Routing (AODV) protocol, numerous control messages consume a large quantity of the network resources, which deteriorates the effectiveness of AODV. In this paper, Fuzzy Velocity-based AODV (FV-AODV) is proposed for improving the reliability and effectiveness of AODV in wireless mobile ad hoc network (MANET). According to the velocities of network nodes, FV-AODV adaptively adjusts the HELLO_INTERVAL, which is the transmission time interval of two successive HELLO messages. The simulation results demonstrate that the reliability and effectiveness of FV-AODV are improved comparing with AODV.

Abstract: In this paper, an adaptive sliding mode control (ASMC) method for a single inverted pendulum (IP) is proposed. The physical parameters are transformed into the model information, thus adaptive law for the IP can be designed with unknown physical parameters. By simulation and experiments, we found that the ASMC method can keep the IP in the upright position, with quick parameters adjustment and high degree of system robustness.

Abstract: On the base of equal-parametric method, this paper presents a new algorithm of adaptive step lengths on parametric coordinate system. The algorithm considers the radius of the curvature difference between different cutter contact points.To meet the premise of precision and roughness ,the algorithm have optimized cutter attitude, planning cutter location path generation for five-axis machining.This algorithm is suitable for machining sculptured surface.

Abstract: Linear Discriminant Analysis (LDA) ^[1] is a well-known method for face recognition in feature extraction and dimension reduction. To solve the “small sample” effect of LDA, Two-Dimensional Linear Discriminant Analysis (2DLDA) ^[2] has been used for face recognition recently，but its could hardly take use of the relationship between the adjacent scatter matrix. In this paper, I improved the between-class scatter matrix, proposed paired-class scatter matrix for face representation and recognition. In this new method, a paired between-class scatter matrix distance metric is used to measure the distance between random paired between-class scatter matrix. To test this new method, ORL face database is used and the results show that the paired between-class scatter matrix based 2DLDA method （N2DLDA） outperforms the 2DLDA method and achieves higher classification accuracy than the 2DLDA algorithm.

Abstract: The bandwidth of the direction of arrival (DOA) estimation requires high sampling rate which extends the current analog to digital converter capacity. The paper presents an effective basis pursuit (BP) algorithm based on compressive sensing (CS) signals, which is called CS-BP algorithm, for two-dimensional (2-D) DOA estimation of Linear Frequency Modulation (LFM ). The simulation results verified that the method can effectively reduce the sampling data, and improve DOA estimation performance and efficiency.

Abstract: Localization is one of the key technologies in wireless sensor networks. In this paper, the improved algorithm is derived from DV-Hop algorithm, and uses entropy weight to improve localization accuracy without needing an additional hardware device. Simulation results show that the improved DV-Hop algorithm can provide more accurate location estimation than the DV-Hop algorithm.

Abstract: This article presented a method to amend the model of magnetic levitation system by adding a current fixed link. It improved the accuracy of math model of magnetic levitation system with current controlled. Finally, simulation and experimental results showed effectiveness of the new model.

Abstract: The proposed system is designed to monitor patients with atrial fibrillation (AF) in family. This system mainly consists of wireless sensor networks (WSNs), which contains several mobile sensor nodes and coordinator for acquisition of bio-signals, and an embedded computer (EC) for signal processing. The WSNs are responsible to acquire and transmit Electrocardiogram (ECG). The EC is to extract the AF signal using nonlinear blind source extraction (BSE) algorithm. The extracted AF signal is then utilized to intelligently judge whether or not AF is on, based on which the system will send alert information to related doctors via Ethernet. In the meantime, the extracted AF signal is displayed on liquid crystal display (LCD), and then is also sent to relate doctors. The system aims to be low-cost, low-power consumption, small size and long-distance (up to thirty meters) transmission, can be further integrated into other healthcare monitoring system, and is expected to have great potential in family monitoring.

Abstract: The fault detection of low-speed rotating machine is very difficult at the early stage. Because it often breaks down suddenly, there are many problems in the planned maintenance of low-speed rotating machinery in industry plants. In order to detect fault of low-speed rotating machinery as earlier as possible, this paper proposes a sensitivity evaluation method of fault diagnosis by using symptom parameters and frequency analysis of vibration signal and acoustic emission (AE) signal measured for the diagnosis. The practical examples are shown for explaining the efficiency of the sensitivity evaluation method proposed in this paper.