Advanced Materials Research Vols. 846-847

Abstract: The paper uses D level,E level and the level of GPS control network establishment satellite space geodetic network in Laicheng industrial zone in Laiwu, through the baseline calculating, three-dimensional unconstrained adjustment and two-dimensional constraint adjustment to get the WGS-84 three dimensional coordinates and 1980 xi 'an horizontal coordinatesthe of control points; then using the fourth-order levelling connection survey all D-level, E-level control points and part GPS control points to build vertical control network, for the GPS control points of the remaining we utilize quadric function method using GPS elevation fitting given its elevation seek to obtain three-dimensional coordinates of all the basic control points.

Abstract: The inductive wireless power transfer efficiency is determined by the coupling factor and coil quality factors. This paper studies the coupling factor of an inductive power link (IPL) for wireless power transfer in advanced brain-machine interface applications. By comparison to the experimental results, the various design tools including Maxwell simulation and two analytical models are evaluated for prediction of the coupling factor. The coupling factors of IPLs with different design parameters are also analyzed. The results show that for specific wireless power transfer distances, the coupling factor of an IPL is mainly related to the size and fill ratio of the coils, while is almost independent of the coil track pitch, coil width/pitch ratio, and track thickness.

Abstract: To improve the transmission performance of wireless channel, the improvement of the Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) channel estimation algorithm based on the superimposed training sequence is proposed. We take advantage of training and information sequences unrelated, without loss of bandwidth preliminary estimate the channel parameters; Then using the weighted factor of channel parameters between adjacent signal weighted average, get the final channel parameters. Compared with previous superimposed training sequence estimation method, using the algorithm has a lower estimation mean square error (MSE), and is suitable for the time-varying channel. The computer simulation results show that the estimation method improves the accuracy and performance of channel transmission.

Abstract: The purpose of this paper is to add Particle Swarm Optimization algorithm to Generalized Regression Neural Network for predicting egg Haugh value and evaluating freshness degree of eggs. Firstly process the egg images with light-transmitting were obtained by the computer vision device including denoising, threshold segmentation, conversing HSI Color model and calculating the averages of hue, saturation, and intensity in the center of the image. Secondly analyze GRNN, and then particle swarm algorithm to optimize according to the predicted formula being derived. Thirdly train Improved GRNN and predicate Haugh value by HSI parameter data as the sample. The value of residual errors of Improved GRNN model are 6.38, the correct discerning rate of grading table eggs is 91.2%. It proves better than traditional BP neural network in terms of predicted accuracy and robustness.

Abstract: The growth of plants needs certain temperature conditions, carried out relevant research for intelligent plant growth systems of temperature acquisition. For plant growth cabinet temperature is by the influence of many factors, and multi-sensor measurement error caused by temperature detecting, using the distribution display method of temperature detection divorced value removing method and the Bayesian estimation of multi-sensor data fusion method. The experiment results show that the algorithm is reasonable and reliable, improving the accuracy of the temperature acquisition, and effectively eliminate the error caused by the failure sensor.

Abstract: A reprograming code distribution algorithm for wireless sensor network based on hierarchy structure (RCDABHS) is proposed to improve the nodes energy efficiency and extend the lifetime of wireless sensor network .The algorithm choices portion of nodes with more residual energy to form code distribution tree with minimum energy consumption cost, which completes the code distribution to all heads. Other nodes request the new code from the local cluster head nearby principle. Cluster heads were dynamically elected according to residual energy and distance from base stations to implement the entire network node load balancing, reduce the energy consumption and prolong the network life cycle effectively. The performance analysis and simulation experiments show that the new algorithm effectiveness.

Abstract: A strategy for controlling mobile nodes based on PSO algorithm with neighborhood disturbance was proposed for improving the network coverage rate in wireless sensor networks. The non-dominated sorting strategy was led into basic PSO algorithm to seek best particle and adaptive neighborhood disturbance operation was used to conquer the drawback of PSO falling into local optimum. Therefore, the effect of network coverage had been improved and the network energy consumption can be reduced.

Abstract: Temperature is an important operating parameter of electrical equipment, electrical equipment operating condition obtained by monitoring the temperature information has become research focus for power system fault prediction and diagnosis^[1-. Distributed fiber optic temperature measurement system is a method for real-time measurement of the spatial distribution of temperature field sensing system. The system uses optical time domain reflectometer (OTDR) and laser Raman spectroscopy, amplifies temperature information and processes signal from wavelength division multiplexer and optical detectors, then the temperature information is displayed in real time^[4-. Distributed fiber optic temperature measurement technology has several characteristics with insulation, anti-electromagnetic interference, resistance to high voltage, resistance to chemical corrosion, and security^[6-. This article outlines the basic power system temperature monitoring content, studies the current distributed optical fiber temperature measurement technology applications in power system and prospects for its development trend.

Abstract: In this paper, an improved belief propagation decoding algorithm was proposed for low density parity check codes. In the proposed decoding process, error bits can be detected once again after hard-decision in the conventional BP decoding algorithm. The detection criterion is based on check matrix characteristics and D-value between prior probability and posterior probability. Simulation results demonstrate the performance of the improved BP decoding algorithm outperform that of the conventional BP decoding algorithm.

Abstract: In this paper, a novel sparse component multi-resolution independent component analysis is presented. This method separates mixed images based on quadratic function of sparse component coefficient. The quadratic function can be interpreted as the time-frequency function or time-scale function. The performance of the algorithm is evaluated by using noisy mixed images data. Experimental results show that the method is feasible.