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Update summarization is a challenge in automatic text summarization. The task aims to distill evolved messages from a collection of new articles, under the assumption that the reader has already browsed the previous articles. In this paper, we reviewed some state-of-the-art approaches for extracting update summarization and then focused on a LSA-based one. After the analysis of LSA-based approach's...
In this paper, we design a social-relations-based routing algorithm (SRBRA). Firstly, by analyzing the real-time data from mobile nodes in the network, we summarize and extract factors that affect social relations between these mobile nodes. Then make inference and evaluation for the complexity and dynamic of these factors from multiple angles, calculate the social-relations values between each sensor...
In recent years, the data mining technology has been developed rapidly. New efficient algorithms are emerging. Association data mining plays an important role in data mining, and the frequent item sets are the highest and the most costly. This paper is based on the association rules data mining technology. The advantages and disadvantages of Apriori algorithm and FP-growth algorithm are deeply analyzed...
Depth-image-based rendering (DIBR) produces multiple views efficiently. However, its process lacks some viewpoint information. There will be holes, which influences the 3D video quality. Previous DIBR techniques were mainly applied to 3D images, so it only relied on the single view and the depth map to fill the holes, but insufficient repair information resulted in incorrect repair. In this paper,...
Computation of the Euler number of a binary image is often necessary in image matching, image database retrieval, image analysis, pattern recognition, and computer vision. This paper proposes an improvement on the Euler number computing algorithm used in the famous image processing tool MATLAB. By use of the information obtained during processing the previous pixel, the number of times of checking...
Based on the theory of fuzzy neural network and hierarchical intelligent control, establish system architecture of freeway multi-ramp control, put forward coordination control algorithm of multi-ramp, provide a systemic solution method to realize multi-ramp intelligent control. This method is relatively simple and easy to expand, simultaneity independent on specific freeway mathematical models, possess...
At first, what presented in the paper is the theoretical derivation of the multi-solution principle of VSR, as well as the theoretical analysis of the essential relationship between SPWM and SVPWM. Then, the minimized switching loss SPWM and SVPWM modulation algorithms, injecting zero-sequence component into the objective function of rectifier, are presented. The rectifier, with minimized switching...
This paper presents a path planning method based on an improved particle swarm optimization for flying robot for overhead power line inspection after analyzing the shortcomings of traditional particle swarm optimization algorithm. It can be used in discrete and optimization fields through improving the update operator of the particle swarm optimization. This paper combines the characteristics of the...
The optimization of water distribution networks are complex, multi-modal and discrete-variable problems that cannot be easily solved with conventional optimization algorithms. This study adopts ant algorithm (AA), immune algorithm (IA), and scatter search (SS) which are all evolutionary computing techniques to avoid the entrapments by local optimal solutions, to obtain the least-cost designs of water...
This paper presents a new approach to credit scoring by synthesizing simple nai??ve Bayesian classifier (SNBC) and the rough set theory. We adopted the combination of SNBC and rough set theory to build credit scoring model. The experiment was done on German Credit Database and showed that the model has a good prediction performance and has real world value upon application.
In order to enhance the accuracy of the iris localization, a new algorithm is proposed by combining the merits of wavelet analysis and Hough transform. For the inner edge localization, the wavelet analysis is applied to the iris image to remove the noise availably. Then using the Hough transform locates the iris inner edge accurately. Thereby the invalid search brought by the noise is avoided. For...
To solve the limitations of linear equations determinant coefficient, an embedded intelligent teaching aid system is designed based on MicroBlaze with the FDD theory. We present the entire design flow as well as the FPGA-based platform for embedded software and hardware development. We implement an LCD IP core using VHDL and FDD algorithm using C on this platform. Experimental results indicate that...
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