Advanced Materials Research Vols. 271-273

Abstract: Using ANSYS program, the finite element simulation based on thermoelectric coupling is conducted by a series of procedures, such as three-dimensional model building of airflow level posture sensor according to the actual size of the proportion, network modifying, loads applying and equation solving. The sensitive mechanism of airflow level posture sensor is explained by finite element method. The numerical results show that compared with two-dimensional modeling, the simulation result of three-dimensional modeling and thermoelectric analysis methods are more comprehensive and accurate, which provides more reliable basis for practical research of the airflow level posture sensor.

Abstract: Using ANSYS-FLOTRAN CFD program, the finite element simulation is conducted by a series of procedures, such as three-dimensional model building of airflow inclination sensor, network modifying, loads applying and equation solving. The flow field in three-dimensional hermetic chamber of sensitive element of airflow level posture sensor is calculated, FEM analysis has been obtained. The numerical results show that under the buoyancy lift affecting, the direction of nature convection gas always keeps the vertical upward in two-dimensional enclosure, nature convection gas has the pendulum characteristic, and when the dimensional enclosure is inclined, temperature distribution at the several points in dimensional enclosure will change with the tilt angle. The pendulum characteristic can be utilized to measure the level posture by the airflow level posture sensor.

Abstract: Using ANSYS-FLOTRAN CFD program, the finite element simulation is conducted by means of a series of procedures, such as three-dimensional model building of airflow level posture sensor, network modifying, loads applying equation solving, the flow field in three-dimensional hermetic chamber of sensitive element of airflow level posture sensor in different acceleration and inclination is Calculated, The numerical results show that for the sensor of airflow level posture sensor, the effect of acceleration and inclination is similar. Both of them can change the flow field of sensor, and will output a corresponding voltage. The simulation result of three-dimensional modeling is more comprehensive and accurate, which provides more reliable basis for practical research of the airflow level posture sensor.

Abstract: The method of interpolation was used in the process of software compensation of temperature in order to improve the environmental performance of air level posture sensor. Two algorithms including Lagrange interpolation and piecewise linear interpolation were calculated and compared in Matlab software, and then the optimization scheme could be achieved. The result showed that although the curse of Lagrange interpolation included all the given data positions, the Runge phenomenon in polynomial interpolation made the accuracy of interpolation lower. Piecewise linear interpolation reflected the relationship between environment and zero voltage more accurately. Piecewise linear interpolation not only can be used to improve the accuracy of software compensation of air level posture sensor.

Abstract: Image completion techniques can be used to repair unknown image regions. However, existing techniques are too slow for real-time applications. In this paper, an image completion technique based on randomized correspondence is presented to accelerate the completing process. Some good patch matches are found via random sampling and propagated to surrounding areas. Approximate nearest neighbor matches between image patches can be found in real-time. For images with strong structure, straight lines or curves across unknown regions can be manually specified to preserve the important structures. In such case, search is only performed on specified lines or curves. Finally, the remaining unknown regions can be filled using randomized correspondence with structural constraint. The experiments show that the quality and speed of presented technique are much better than that of existing methods.

Abstract: Radio Frequency Identification (RFID) is regarded as a promising technology for the optimization of supply chain processes since it improves manufacturing and retail operations from forecasting demand to planning, managing inventory, and distribution. This study uses a simulation model to calculate the expected benefits of an integrated RFID system on supply chain obtained through performance increases in efficiency, accuracy, visibility, and security level. Drawing upon a database of over 160 manufacturing facilities in china, this paper presented RFID Investment Evaluation Model, and provides a basis for enhancing our understanding of RFID value creation, measurement, and ways to maximize the value of RFID technology on supply chain management. A future research direction is also discussed.

Abstract: This article identifies strategic logistics resources acquired and bundled by logistics service providers (LSPs) to achieve competitive advantage. Drawing on the resource-based view (RBV) of the firm, this study empirically examines if there exist different types of logistics service providers (LSPs), and whether the types differ in service performance. Results show that all LSPs have been acquiring physical, human, information, knowledge and relational resources and then bundling them together in various specific manners to create inimitable and firm specific capabilities. The results of this study can be used in a Pareto sense of focusing on a few vital factors that can enhance firm performance.

Abstract: This paper adopts a synthesis algorithm which combines FIR filters and wavelet threshold de-noising method to complete ECG de-noising. Firstly, we designed a FIR equiripple bandpass filter using Matlab FDATool to remove baseline drift, power interference and the high frequency part of muscle moments. Then we adopted an improved wavelet threshold de-noising algorithm to remove the remaining muscle moments with less decomposing levels. The algorithm was implemented on Matlab platform. The experimental results show that the algorithm is simple in design and has less calculation and good de-noising effect, which is superior to conventional wavelet threshold de-noising algorithm, and can be used in clinical analysis.

Abstract: Traditional rough set theory can hardly handle the real-life data which contains continuous attribute. In order to solve this problem, a new method for discretization of continuous attributes based on relative positive region of decision attribute is presented. The method which distinguishes from traditional discrete methods firstly gets the relative positive region of decision attribute, and then discrete continuous attributes with the theorem proved in this paper. Finally, the result of an example shows that our method is efficient and feasible.

Abstract: At present, Low-Density Parity-Check (LDPC) codes widely used in many fields of communications have the best performance of all the Error Correcting Codes (ECC). This paper mainly studies the decoding algorithms of LDPC. It proposes an improved algorithm which is named Check-Variable nodes Hybrid(CVH) algorithm on the basis of the existing algorithms. The CVH algorithm can reduce the computational complexity during the check-node update while overcome with the correlation between the variable-node news in a code with circles. As well as, comparing with the original algorithms the performance of the new one saves 0.1 and 0.3 dB than Log-likelihood Ratios (LLR) Belief Propagation (BP) and BP - based algorithms under Additive White Gaussian Noise (AWGN) channel when the Bit Error Rate (BER) falls to through the simulation. This point shows that this algorithm can increase the decoding performance and reduce the error rate effectively.