Applied Mechanics and Materials Vols. 303-306

Abstract: To overcome the insufficient of Sliding Window Non-parameter Cumulation Sum (SWN-CUSUM) algorithm, a Threshold-based K-means (TK-means) algorithm was presented to detect the selfish behaviors in an IEEE 802.15.4 Wireless Sensor Network (WSN).By judging the threshold and tracing the statistics characteristic of the average delay and the average throughput from each link, a node can determine if there is a selfish behavior and distinguish selfish nodes from normal nodes in the WSN. In the TK-means detection mechanism, when the threshold is lower than zero, it is judged that selfish behavior happens in network; In the presence of selfish behaviors, the data set is divided into K groups composed by a number of similar object, which have high similarity in the same groups and low similarity in different groups to distinguish normal nodes and selfish nodes. Simulation results from NS2 show that the TK-means algorithm can effectively detect the selfish behaviors generated by one selfish node or multiple selfish nodes in the WSN.

Abstract: An emerging challenge in developing intelligent prostheses is to replicate or recreate the sensory functions of natural limbs for amputees. Such functions mainly include tactile sensation and proprioception. This paper reviews the tactile receptors and proprioceptors in human upper limb, the artificial sensors in upper limb prosthesis, and the sensory feedback technology used for reconstruction of lost sensory function in the amputee’s upper limb.

Abstract: To improve the dynamic performance of the two-dimensional sensors, we presented a modified ANN (artificial neural network) inverse compensating method. The modified method is based on the state-space equation, which can fully describe the complex sensor and make the obtained inverse compensator more accurate, as well as decrease the derivative orders appeared in the inverse compensator. Simulation result verifies the modified compensator is more suitable to be used to compensate the complex two-dimensional sensor and the compensating result of the modified method is better that of the unmodified one.

Abstract: Presently, many attentions have been paid on low-noise pre-amplifier circuits and steady signal processing methods, but seldom on the combination of two technologies. In this paper, a small size low noise pre-amplifier circuit with 110dB Common Mode Rejection Ratio（CMRR）has been developed for giant magnetoresistance sensors(GMR) and its equivalent input noise voltage density is about . In addition, we proposed a new signal processing method for the sensors. In the method, we defined the quotient between the complex multiplex computation times and the output data num as a new figure of merit to evaluate that algorithm efficiency in signal detection, and name that quotient the computation times -to- output data num ratio (CTOR). Simulation results showed that the new method realized better parameters evaluation precision and higher efficiency than Modified Rife method, could be implemented easily in embedded systems.

Abstract: How to improve training records and skill level, and try to minimize sports injury at the same time, has increasingly become the focus of Volleyball Professional Training Design. This paper puts forward a method to acquire the foot pressure information of volleyball athlete. By utilizing PVDF film which has the advantages of fast response, high sensitivity, good mechanical properties etc., the array of pressure sensors and signal conditioning circuit have been designed and produced. Tested, this method can accurately in real time acquire volleyball athlete’s foot dynamic pressure distribution information.

Abstract: A broadband supercontinuum source is demonstrated with phosphosilicate-doped Raman fiber laser. By lunching 1495nm continuous-wave pump into a short length of microstructure fiber with high nonlinearity and flat dispersion, high efficiency continuum spanning from 1450nm to 1650nm is generated, covering the whole communication windows. The average output power is as high as 2W when the pump is set as 4.14W, corresponding to a spectral density of 10mW/nm. This all -fiber light source can be applied in fiber sensing system.

Abstract: In a qualitative electronic nose, different gas concentrations of the training dataset will have a negative effect on the correct recognition rate of the system. In order to reduce or eliminate the impact of the factor of concentration on the qualitative electronic nose, array normalization algorithms are proposed. In this paper, six different array normalization algorithms were studied and compared in different application cases. All of these algorithms are effective in increasing the correct recognition rate of the qualitative electronic nose and different algorithms are biased in favor of different application directions. The algorithms I II and III are most commonly used ones because of their stableness, the algorithms with global compression are better than the ones with local compression when more sensors are used in a array.

Abstract: This paper introduces image acquisition display system based on USB binocular camera which is developed by S3C6410 and embedded operating system WinCE 6.0. Hardware system is implemented on OK6410 development board, extending double camera by USB HUB as binocular camera. Software application is programmed by MFC. The system provides a feasible hardware plat form for subsequent three-dimensional visual system development.

Abstract: This paper proposes a network management scheme of WSN. With embedded technology and SNMP (Simple Network Management Protocol) agent technology, an embedded SNMP agent is designed. The agent abstracts a WSN device to a virtual device as a SNMP management node. The main advantage is that the agent supports SNMP to manage the network, and diverse embedded devices can be managed identically with the conventional Internet network management. Therefore, the scheme can reduce the cost of network management and simplify the operation. Finally, by experiments, the scheme is proved to be feasible.

Abstract: This paper focuses on Kernel Principal Component Analysis (KPCA) in order to solve the problem of sensor fault detection and identification without linear relationship between sensors. After samples are projected into high-dimensional space, new Principal Component Analysis (PCA) model is established in the kernel principal component eigenvector space. By the contrast with SPE, Hotelling T2 is an appropriate parameter to detect sensor fault because it is more sensitive to sensor failure. The contribution of different sensor to Hotelling T2 is utilized to identify sensor fault for the faulty sensor’s contribution is large than others significantly. Finally, the proposed method is illustrated by the sensors of oil-providing system in the process of aero-engine ground testing. Experiment results show the applicability and effectiveness of the proposed method.