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The interoperability testing of CTCS-3 Level Train Control System guarantees the safe operation of train running on different lines. It makes great sense to achieve automatic analysis of interoperability testing results, which could improve the efficiency and accuracy of testing. In this paper, a research was conducted on automatic analysis of testing results for on-board equipment of train control...
Advanced driving assistance systems (ADAS) have developed in widespread use for traffic safety, they must include mechanisms functioning in bad weather conditions. However, the rain reduces visibility and degrade the effectiveness of computer vision algorithm when they are vision-based methods. We propose an orientation-adaptive non-local mean (OA-NLM) filter algorithm to further improve rain removal...
In previous studies, many scholars use the global search ability of Genetic Algorithm (GA) to optimize the Fuzzy C-means (FCM) clustering algorithm to obtain better clustering center. But the prematurity problem of GA itself has bad effects on the whole clustering. Therefore, in order to optimize the traditional GA-FCM algorithm's clustering effect, in this paper, we introduce the Opposition-based...
Considering the nonlinear and uncertainty in the MINS/GNSS navigation system, a nonlinear Sage-Husa noise maximum posterior estimator was designed. Since the estimator cannot solve problems both of system noise and observation, a Bi-parallel BP neural network controller is designed to approximate the estimator. Then an adaptive UKF algorithm based on Bi-parallel neural network is proposed. In the...
Considering that incremental localization is influenced by the heteroscedasticity problem caused by cumulative errors and the collinearity problem among nodes, this paper has proposed an incremental localization algorithm with consideration to cumulative error and collinearity problem. Using iteratively reweighted method, the algorithm reduces the influences of error accumulation and avoids collinearity...
Based on the principle of the proximity of spatial elements and the equilibrium of spatial data's size, this paper presents a data partitioning and merging method based on spatial filling curve and collection of spatial features. In the data reducing section, this method takes the principle of dynamic tree merging and reduces the times of data serialization and deserialization. The experiment shows...
In the dynamic social network, how to use data mining tools to find the hidden dynamic knowledge in the social network has become the focus of the study. It can be applied to a wide range of areas with good practical value and application significance. We propose a novel algorithm called iDBMM based on the improvement of DBMM algorithm. At first, iDBMM algorithm classifies the training set to obtain...
The majority of real-world networks are directed, weighted and dynamic. Aiming at the problem of node role analysis in directed weighted network, in this paper, we introduce topological potential to network analysis and propose a novel node role analysis method based on directed topological potential, which can divide nodes into four kinds of roles based on their behavior pattern and local influence...
An algorithm was proposed for recognizing uncut lawn in order to improve the efficiency of robotic mowers. Image data were captured on uncut lawn. After operations on image data of edge detection, image binaryzation, and image erosion, freeman chain code was used for larger target contour extraction and contour filling, and then the filling area was thinned and the thinned skeleton was pruned. After...
Approximate string matching using the k-difference technique has been widely applied to many fields such as pattern recognition and computational biology. Data dependency exists in the traditional sequential algorithm. Therefore, it is hard to design a parallel algorithm for approximate string matching with k differences. This paper presents a technique to eliminate data dependency. Based on this...
Artificial bee colony (ABC) algorithm as a new optimization algorithm invented recently has been applied to solve many kinds of combinatorial and numerical function optimization problems. The existing forms of ABC algorithms perform well in most cases. However, ABC algorithm is still lack of capacity for optimizing high dimensional problems without taking the interactions within each dimensional variables...
This paper presents a novel embedded real-time fisheye image distortion correction algorithm with application in IP network camera. A fast and simple distortion correction method is introduced based on Midpoint Circle Algorithm (MCA) which aims to determine the pixel positions along a circle circumference based on incremental calculation of decision parameters. Although only the vertical is rectilinearised,...
Rapid modeling and model reusing has become an emergent problem to be solved in recent years, due to the sharp increasing popularity of character modeling. In this paper, we propose a combining-based method for rapid modeling the surface of three-dimensional character. We propose the algorithm for extracting the boundary points from the triangle mesh surface according to the characteristics of the...
For solving complex stainless steel pipes auto-count problem, an algorithm is developed based on image processing. The algorithms include three sections: edge enhancement, objects extraction and pipe number count. In edge enhancement algorithm, a Canny operator combine with morphological for picking up interest area and removing noise. A novel convolution template is prompted for enhancing the thin...
Recently, employing an in-network data aggregation forest has been proposed to achieve energy saving in wireless sensor networks with multiple sinks. The construction of an in-network maximum-lifetime data aggregation forest was shown NP-complete, and only one centralized algorithm in the literature was designed to solve it. The centralized algorithm suffers from significant control overhead especially...
A solution framework for the traffic grooming problem with physical loop-free end-to-end paths is proposed and its impacts in terms of network resource efficiency and installation cost is analyzed.
Distributed Compressed Video Sensing (DCVS) has developed as one of the efficient solutions that guarantee low complexity video compression. In this paper, a novel DCVS algorithm with unequal protection of the video signal's elements is proposed. The new algorithm utilizes not only the sparsity and probability distribution of the video signal but also its particular unequal significance feature. Based...
Terrain aided navigation is a well approved navigation technique. It is important part of modern navigation system especially in military avionics. The basic principle, composing and technologic application of terrain aided navigation system is introduced. In brief, several pivotal techniques of terrain aided navigation system are discussed, which include position estimate, digital maps, real elevation...
Space information networks promise encouraging prospects in areas of detection, communication and location. In this paper, node and link evaluation algorithms are proposed to provide reconfiguration basis for such networks. Given that space information networks operate in multi-application environments and offer diverse services, we take connectivity and availability into comprehensive consideration...
Because of the color data from different views may differ greatly between various views in multiview video coding(MVC), Color correction is used to improve the MVC coding efficiency. This paper proposes a foreground based disparity vector estimation algorithm. Using with LSM color correction method, the proposed algorithm can improve the reliability and efficiency of color correction of MVC. Compared...
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