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The feature matching and tracking of binocular vision inter-frame images have been divided into three parts in this paper. Before image feature extraction, an image binarization segmentation method based on HSV color space is used to extract the target in order to reduce the searching range of feature points and improve the matching efficiency. About feature matching, a modified ORB method combining...
Semi-supervised clustering is one of the most active research area in machine learning and pattern recognition, which can improve the performance of unsupervised clustering efficiently. This paper focuses on exploiting both the label information of a few labeled samples and the spatial distribution information of large amount of unlabeled samples. We proposed a new semi-supervised clustering method,...
The success of deep learning proves that deep models are able to achieve much better performance than shallow models in representation learning. However, deep neural networks with auto-encoder stacked structure suffer from low learning efficiency since common used training algorithms are variations of iterative algorithms based on the time-consuming gradient descent, especially when the network structure...
Deep learning scheme has received significant attention during these years, particularly as a way of building hierarchical representations from unlabeled data for a variety of signal and information processing tasks. However, deep neural networks suffer from slow learning speed since most used training algorithms are based on variations of the gradient descent algorithms which require iterative optimization...
Nonlocal interferometric phase filtering methods achieve excellent performance in both noise reduction and texture preservation, even in the case of complicated topography and low coherence. The main limitation of the nonlocal methods is the computational burden. This paper proposed a nonlocal phase filtering strategy for the practical InSAR system, which combine the nonlocal algorithm with the traditional...
Graph keyword search is the process of extracting small subgraphs that contain a set of query keywords from a graph. This problem is challenging because there are many constraints, including distance constraint, keyword constraint, search time constraint, index size constraint, and memory constraint, while the size of data is inflating at a very high speed nowadays. Existing greedy algorithms guarantee...
This paper presents a hierarchical method of region division for mobile robot system based on spectral clustering algorithm. Firstly, to improve the exploration efficiency, topological map is constructed incrementally using a hybrid map model with grid-topplogy structure. And then, topology-based Voronoi Diagram is introduced to divide the map and express the whole environment uniquely. Meanwhile,...
This paper firstly summarizes the newest research on Available Transfer Capability (ATC) algorithm in home and abroad. By analysis of the influence of Adjusting Strategy of Generators (ASG) to power flow and transient stability, this paper derives three indexes which reflect the property of transient stability of generator based on the Equal Area Criterion (EAC). In order to improve the reliability...
As the distributed multi-domain DWDM optical network has been advocated to be the next generation optical network, there is a pressing need to address the inter-domain RWA (Routing and wavelength assignment) problem. Thus, we propose a set of new inter-domain RWA schemes, including a MLP (Most leisure path) routing strategy based on the Hybrid abstraction and a ID-MU (Inter-domain most used) wavelength...
The magnetic flux leakage (MFL) technique is a viable approach to the non-destructive evaluation of pipelines. But the MFL data is large. In order to save the storage space of the MFL data and regain the MFL data without distortion in the later analysis, the data must be compressed in a lossless compression way. In this paper, the application of Context Tree Weighting (CTW) in MFL data compression...
A displacement back analysis, named as CACA-SVM, was proposed by combining the Support Vector Machines (SVM) and the Continuous Ant Colony Algorithm (CACA). The model used both the nonlinear characteristics of the Support Vector Machines to reduce numerical calculation and the global optimization performance of the Continuous Ant Colony Algorithm to avoid trapping in local optimum. The model was applied...
As far as a Turbo decoder is concerned, the lower Bit Err Rate (BER) at the expense of acceptable and feasible complexity, the better. In this paper, a method is proposed which employs additional redundant sequence added at the end of tail bits of an information sequence to improve performance of a Turbo decoder. Computer simulation results show that, when L=L'=1024, where L is the length of information...
In order to increase the network capacity and improve the network performance of wireless mesh networks (WMNs), a possible solution is to make the nodes equipped with multiple radios which tuned on multiple non-overlapping channels. Efficient channel assignment is necessary for throughput optimization of mesh nodes. This paper proposed a novel channel assignment algorithm which is very suitable for...
A three-dimensional (space, time and frequency) orthogonal comb pilot scheme is designed to dissolve the problem of the interference of pilot signals between multiple antennas in MIMO-OFDM systems. The MIMO-OFDM channel estimation can be transformed into the single antenna channel estimation for OFDM systems using the pilot scheme. The scheme transmits the pilot information for the channel estimation...
The classical newsvendor problem is restudied under the perspective of competitive analysis in this paper. Unlike the approach of probabilistic analysis which may give some solutions that are far from the optimal solutions under some scenarios, competitive analysis provides very robust statements about the performance of an online solution, against all possible scenarios. With detailed competitive...
The on-line Vehicle Routing Problem (VRP), motivated by the research concerning on-line Traveling Salesman Problem (TSP) and on-line transportation problem, is studied in this paper. Unlike the TSP, in which the salesman has no capacity limitation, the vehicle in on-line VRP has a limited capacity. In the on-line VRP, when the capacity of the vehicle cannot satisfy the customers' request, it must...
According to the matching differences cased by cardiac non-rigid motion between angiographic images before and after injected in subtract angiography which is most widely used in diagnosis, a new algorithm based on a?? trous wavelet of rotary Gaussian with adaptive space coefficient and segmentation based on transition region is put forward to in this paper. The angiographic image is pretreated by...
Internet Protocol Security (generally shortened to IPSec) is a framework of open standards that provides data confidentiality, data integrity, and data authentication between participating peers at the IP layer. The Data Encryption Standard(DES) is used to encrypt and decrypt packet data at IP layer; it turns clear text into cipher text via an encryption algorithm. The decryption algorithm on the...
A new method based on fourth-order cumulant for the joint estimation of the range and DOA of spatial near-field sources is presented. The proposed method adopts the non-centro-symmetric array, and constructs three cumulant matrixes using received array data; the aperture loss is effectively avoided. The method estimates the DOA and range parameters by the tripartite relationships among subspace matrixes,...
In wireless sensor networks, the accuracy of data fusion is likely to be contaminated by the environment affects nearby the nodes. In this paper, an appropriate fusion model and algorithm is given to solve this problem. According to the clustering fusion model, a weighted fuzzy fusion algorithm based on fuzzy reasoning for cluster heads, is proposed. The advantage of this algorithm is to vary weight...
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