Advanced Materials Research Vols. 915-916

Abstract: Considering the approximation between Gaussian function and spectrum, Gaussian function is utilized to simulate the spectrum of optical fiber sensor array sensitive to four heavy metal ions. The division of superimposed spectrum in measurement by optical fiber sensor array and the analysis of relative error are simulated by Matlab software. From the simulation, it is known that the superposition error of spectrum caused by interference between four ions in films sensitive to heavy metal ions can be reduced with corresponding arithmetic, which provides good theoretical foundation for preparation of optical fiber sensor array and signals processing of spectrum.

Abstract: The rock structure information is a very important feature in the complex lithology identification. However, conventional logging response characteristics of the rock structures are very weaker, resulting that the recognition rate of complex lithology is very low in conventional logging. With the help of imaging logging data with accurate, intuitive structural characteristics of the rock, the volcanic structure is analyzed in electronic imaging logging data in this paper. First, several structural characteristics of volcanic rock are introduced. Then, several texture features are extracted based on image processing method. Finally, imaging logging response characteristics of different volcanic structures are analyzed by means of histogram, and some texture features of imaging logging are chosen to identify volcanic structures in the cross-plot method. Real data processing analysis results show that texture features extracted from electrical imaging logging is effective to distinguish the structures of volcanic rocks.

Abstract: The surface displacement of soil mass is an important standard for safety in civil engineering. In this paper, white light digital image analysis in frequency domain is introduced tomeasure surface displacement of soil mass. This method has the characteristics of whole-field, non-contact measurement and the simple measuring system and can obtain displacements by frequency domination correlation arithmetic. Surface displacements of soil mass are obtained by white light digital image analysis in frequency domain. Comparing the experimental results and the theoretical values, the little error exists and the usefulness of this method is certified.

Abstract: Data visualization is an emerging technology in location-based service. In this paper, the principle of moving target tracking and the transformation of coordinates were introduced. Latitude-longitude pairs of moving object were obtained by globe satellite data receiver and the map matching were adopted to realize the real-time target tracking correspondingly. Finally, the measurement data in location-based services were analyzed and presented by data visualization technology. The experiment results show the validity of the method.

Abstract: This paper analyzed the advantages and disadvantages of several current on-line monitoring approaches to transmission line galloping, noting the comparatively strong economy and feasibility in the Conductor Length Method. Based on the length method, taking the data measured at tension sensors and the angle sensors as the basic parameters, this paper established a calculation model for the monitoring of galloping. The paper applied this model into calculations, whose results basically consistent with the on-site monitoring data, which verifies the accuracy of the calculation model.

Abstract: Since the energy of wireless sensor nodes is limited, the protocols of wireless sensor network (WSN) we design should care about problems of balancing energy of nodes. After analyzing current algorithms, this paper puts forward an hierarchical and clustering strategy for routing based on Ant Colony Optimization (HC-ACO). The protocol divides the nodes into fixed clusters, each cluster selects a Cluster Header (CH) and switches the CH by its energy and other restrictive conditions. And it adopts ACO to search the optimal path between the CHs and Sink node. The simulation indicates the protocol can balance energy consumption of nodes of network.

Abstract: The 3D scanning device can capture millions of points with the excellent geometrical precision except for large amount of redundant ones, which could bring some difficulties for the subsequent digital geometrical processing (DGP), so the simplification of the point cloud has become a considerable study in point cloud applications. Given this problem, we propose a novel approach, which could decrease the geometrical error by partitioning the surface into many patches with some similar geometrical features before using the adaptive hierarchical space partition (AHSP) approach, in order to improve the AHSP simplification. We also experiment on three models and do comparative analysis. Fortunately, the results prove that our algorithm can make the anisotropy feature in the surface of the models described explicitly, the geometrical error decreased by 15.8 percent, and the simplification rate kept up with other approaches. In addition, it can provide the high quality models for the 3D digital model editing, such as the geometrical modeling, the point cloud blending.

Abstract: This paper analyzes the operational characteristics of the library. Based on this, the author improve the traditional PageRank algorithm to rank for similar books. This innovation is that according to the characteristics of the PageRank algorithm, reduced times, books, readers, book by three to a unified relationship plane up, through the matrix solution to the PageRank relations in the initial value problems return, and achieve the algorithm.

Abstract: Aiming at the problems of less study sample, large network scale and long training time existing in current fault diagnosis field, we develop a new method based on KPCA and selective neural network ensemble. First, reducing the data size by using KPCA to extract the sample features. Then achieving a selective neural network ensemble method based on improved binary particle swarm optimization algorithm (IBPSOSEN), and combining the two methods for fault diagnosis. In selective neural network algorithm, bagging method is used to take a number of different training sets of fault samples to solve the problem of less fault samples. Finally, simulation experiments and comparisons over Tennessee Eastman Process (TE) demonstrate the effectiveness and feasibility of the proposed method.

Abstract: In this paper, a common kinematic model of the terrain following algorithm is proposed for the simulation of vehicles moving on the ground. In this model, Euler angles are adopted to describe vehicles' motion attitudes and corresponding rotation matrices are constructed for transformations between coordinate systems. The motion control is divided into moving forward/back and turning because of the mass grid about rigid vehicles. The modeling of turning, a problem always ignored by others, is particularly and accurately analyzed in this model. Based on kinematics, our model is computationally simpler than dynamical models, so it is more suitable for large-scale virtual simulation systems that need to animate many vehicles at the same time.