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A hybrid active contour model with local Gaussian distribution fitting energy for image segmentation

Journal of Information and Computational Science 2015年第17期12卷 6515-6523页

作者： Zhang, Runru Huang, Zhangjin Gu, Naijie School of Computer Science and Technology University of Science and Technology of China Hefei China Anhui Province Key Laboratory of Computing and Communication Software Hefei China Institute of Advanced Technology University of Science and Technology of China Hefei China

Active contour models have been widely applied in image segmentation with promising results. However, many of them fail to segment images successfully due to intensity inhomogeneity. To address this problem, we propose a hybrid region-based active contour model which fully utilizes local intensity information. This model develops a localized active contour framework and incorporates a local Gaussian distribution fitting energy. In order to increase both the computational efficiency and stability of the proposed model, a multi-resolution strategy is employed and the active contour is evolved in a reinitialization-free way. Extensive experiments demonstrate that our model is effective and efficient in segmenting images with intensity inhomogeneity, and outperforms several state-of-the-art algorithms. © 2015 by Binary Information Press.

关键词： Image segmentation

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A New Anomaly Detection Method Based on Rough Set Reduction and HMM

A New Anomaly Detection Method Based on Rough Set Reduction ...

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International Conference on Computer and Information Science (ACIS)

作者： Fanping Zeng Kaitao Yin Minghui Chen Xufa Wang Department of Computer University of Science and Technology Hefei Anhui China Anhui Province Key Lab of Software in Computer and Communication Hefei Anhui PR China Department of computer University of Science and Technology of China Hefei Anhui PR China

Over the past few years, anomaly detection has been an increasing concern with the rapid growth of the network security. Hidden Markov model (HMM) has been applied in various methods in intrusion detection and proved to be a good tool to model normal behaviors of privileged processes, however, one major problem with this approach is that it demands excessive computing resources and costs a long model training time, which makes it inefficient for practical intrusion detection. This paper presents a new method of bringing rough set reduction into HMM to overcome the shortcoming. The proposed approach classifies and simplifies the long observation sequence by virtue of rough set reduction, and the decision conditions obtained in rough set reduction phase could be used in further detection. The experimental results indicate that this method can promote the model training efficiency. Further-more, it is suitable for anomaly detection with high detect rate and low false alarm rate.

关键词： Hidden Markov models Intrusion detection Computer networks Electronic mail software Computer security Phase detection Set theory Information science Costs

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Performance research and optimization on CPython's interpreter

Performance research and optimization on CPython's interpret...

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Federated Conference on Computer Science and Information Systems (FedCSIS)

作者： Huaxiong Cao Naijie Gu Kaixin Ren Yi Li Anhui Province Key Laboratory of Computing and Communication Software Department of Computer Science and Technology University of Science and Technology of China Institute of Advanced Technology University of Science and Technology of China Hefei China

ISBN: (纸本)9781479967476

In this paper, the performance research on CPython's latest interpreter is presented, concluding that bytecode dispatching takes about 25 percent of total execution time on average. Based on this observation, a novel bytecode dispatching mechanism is proposed to reduce the time spent on this phase to a minimum. With this mechanism, the blocks associated with each kind of bytecodes are rewritten in hand-tuned assembly, their opcodes are renumbered, and their memory spaces are rescheduled. With these preparations, this new bytecode dispatching mechanism replaces the time-consuming memory reading operations with rapid operations on registers. This mechanism is implemented in CPython-3.3.0. Experiments on lots of benchmarks demonstrate its correctness and efficiency. The comparison between original CPython and optimized CPython shows that this new mechanism achieves about 8.5 percent performance improvement on average. For some particular benchmarks, the maximum improvement is up to 18 percentages.

关键词： Dispatching Benchmark testing Binary codes Switches Optimization Registers Instruction sets

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A real-time schedule method for aircraft landing scheduling problem based on cellular automaton 09

A real-time schedule method for aircraft landing scheduling ...

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2009 World Summit on Genetic and Evolutionary Computation, 2009 GEC Summit - 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC'09

作者： Shenpeng, Yu Xianbin, Cao Maobin, Hu Wenbo, Du Jun, Zhang Department of Computer Science and Technology University of Science and Technology of China Hefei 230026 86-551-3601545 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230026 China School of Engineering Science University of Science and Technology of China Hefei 230026 86-551-3600127 China School of Electronic and Information Engineering Beihang University Beijing 100083 China

ISBN: (纸本)9781605583266

The Aircraft Landing Scheduling (ALS) problem is a typical hard multi-constraint optimization problem. In real applications, it is not most important to find the best solution but to provide a feasible landing schedule in an acceptable time. We propose a novel approach which can effectively solve the ALS while satisfying the real-time need. It consists of two steps: (i) Use CA to simulate the landing process in the terminal airspace and to find a considerably good landing sequence;(ii) a simple Genetic Algorithm associated with a Relaxation Operator is used to obtain a better result based on the CA result. Experiments have shown that our method is much faster and suitable for real-time ALS problem compared with traditional optimization methods. For all the 13 data sets, the proposed approach can find satisfactory solutions in less than 2 seconds. Copyright 2009 ACM.

关键词： Cellular automata

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Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising Filters 23

Unifying and Improving Graph Convolutional Neural Networks w...

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2023 World Wide Web Conference, WWW 2023

作者： Wan, Liangtian Li, Xiaona Han, Huijin Yan, Xiaoran Sun, Lu Ning, Zhaolong Xia, Feng Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province School of Software Dalian University of Technology Dalian China Research Center of Big Data Intelligence Research Institute of Artificial Intelligence Zhejiang Lab Hangzhou China Department of Communication Engineering Institute of Information Science Technology Dalian Maritime University Dalian China School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China School of Computing Technologies Rmit University Melbourne Australia

ISBN: (纸本)9781450394161

Graph convolutional neural network (GCN) is a powerful deep learning framework for network data. However, variants of graph neural architectures can lead to drastically different performance on different tasks. Model comparison calls for a unifying framework with interpretability and principled experimental procedures. Based on the theories from graph signal processing (GSP), we show that GCN's capability is fundamentally limited by the uncertainty principle, and wavelets provide a controllable trade-off between local and global information. We adapt wavelet denoising filters to the graph domain, unifying popular variants of GCN under a common interpretable mathematical framework. Furthermore, we propose WaveThresh and WaveShrink which are novel GCN models based on proven denoising filters from the signal processing literature. Empirically, we evaluate our models and other popular GCNs under a more principled procedure and analyze how trade-offs between local and global graph signals can lead to better performance in different datasets. © 2023 ACM.

关键词： Convolution

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A qualitative modeling and simulation method based on cloud model

A qualitative modeling and simulation method based on cloud ...

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International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)

作者： Chenxi Shao Kelü Sun Zhenzhong Shao Computer Science and Technology Department University of Science and Technology of China Hefei China Anhui Province Key Laboratory of Software in Computing and Communication Hefei China Jianghuai Automobile Company Limited Hefei China

ISBN: (纸本)9781467358125

Qualitative simulation is effective methods processing incomplete knowledge, how to represent qualitative knowledge and reduce spurious behaviors is its research emphasis. Contraposing the limitations of existing methods representing qualitative knowledge and filtering spurious behaviors, an approach is proposed to qualitatively model and simulate on the basis of normal cloud model. In this research, the cloud numeric characteristics and cloud measurement are introduced into this approach; consequently, it can more accurately assess the qualitative knowledge, and expand the variables expression and quantity space; meanwhile, it is constructed the means of modeling and simulation by adopting more amply portraying the system status, more intuitively transforming status and more accurately filtering spurious behaviors. Furthermore, in simulation algorithm, cloud measurement indices are employed to significantly select the successor status which can not be determined by existing constraint means. The results of simulation example demonstrate that our approach effectively improves the ability to filter spurious behaviors, and it is a feasible method.

关键词： Uncertainty Coordinate measuring machines Computational modeling Entropy Measurement uncertainty Numerical models Size measurement

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Airborne moving vehicle detection for urban traffic surveillance

Airborne moving vehicle detection for urban traffic surveill...

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International Conference on Intelligent Transportation

作者： Renjun Lin Xianbin Cao Yanwu Xu Chuangxian Wei Hong Qiao Anhui Province Key Laboratory of Software Computing and Communication University of Science and Technology Hefei China University of Manchester Institute of Science and Technology UK Institute of Automation Chinese Academy and Sciences Beijing China

At present, moving vehicle detection on airborne platform has been an important technology for urban traffic surveillance. In such a situation, most commonly used methods (e.g. image subtraction) could hardly work well because of some additional difficulties such as slow movement of vehicles and jam. This paper proposed a new moving vehicle detection method named MVD-RD for airborne urban traffic surveillance. First, the non-road regions are extracted using road detection technique. Secondly, the non-road regions with no vehicles are removed according to their size. As a result of this two-stage regions shrinkage, the detection area reduces a lot. Finally, to the reduced area, image subtraction is used to get all moving regions and then moving vehicles can be accurately filtered in a simple way. The experimental results show that, compared with traditional image subtraction methods used in airborne moving vehicle detection, the proposed MVD-RD method achieves much better performance in detection rate, false alarm rate, and detection speed.

关键词： Vehicle detection Surveillance Road vehicles Cameras Road transportation Layout Intelligent transportation systems Optical filters Intelligent vehicles Air transportation

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Constructing the Voronoi Diagram of Planar Point Set in Parallel

Constructing the Voronoi Diagram of Planar Point Set in Para...

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International Conference on Computational Intelligence and software Engineering (CiSE)

作者： Lanfang Dong Yuan Wu Shanhai Zhou Anhui Province Key Laboratory of Software In Computing and Communication College of computer science and technology University of Science and Technology Hefei China College of computer science & technology University of Science and Technology Hefei China

By researching Voronoi diagram, parallel algorithm, and divide-and-conquer method, we present a special data structure(change doubly-connected list little) for Voronoi diagram generation in parallel. In this paper we also present two proposal, they are one processor gradually to merge and 22-merger on the parallel machine, the experiment results show that the present algorithm runs faster than the serial program. By analyzing the various results, we should choose the most suitable number of processors according to the point set scale. At last, we can conclude that gradually merger with one processor is better proposal for Voronoi diagram parallel generation.

关键词： Data structures Educational institutions Computer science Parallel algorithms Proposals Switches Merging Concurrent computing Parallel machines Geography

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An Evolutionary Support Vector Machines Classifier for Pedestrian Detection

An Evolutionary Support Vector Machines Classifier for Pedes...

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2006 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： D. Chen X.b. Cao Y.w. Xu H. Qiao Department of Computer Science and Technology University of Science and Technology Hefei China Anhui Province Key Laboratory Software Computing and Communication Hefei China Institute of Automation Chinese Academy and Sciences Beijing China

In a pedestrian detection system, a classifier is usually designed to recognize whether a candidate is a pedestrian. Support vector machines (SVM) has become a primary technique to train a classifier for pedestrian detection. However, it is hard to give the best training model which has a tremendous effect to the performance of a SVM classifier. In this paper, we design special code/decode scheme and evaluation function for a training model firstly; and then use genetic algorithm to optimize key parameters which represent the SVM training model. Therefore a most suitable SVM classifier can be obtained for pedestrian detection. Experiments have been carried out in a single camera based pedestrian detection system. The results show that the evolutionary SVM classifier has a better detection rate; moreover, RBF kernel is more suitable than polynomial kernel when chosen in an evolutionary SVM classifier for pedestrian detection

关键词： Support vector machines Support vector machine classification Kernel Genetic algorithms Decoding Design optimization Cameras Intelligent robots Computer science laboratories

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Extended Doo-Sabin surfaces

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Journal of Information and Computational Science 2011年第12期8卷 2239-2247页

作者： Huang, Zhangjin Wang, Feng Wang, Guoping School of Computer Science and Technology University of Science and Technology of China China Key Laboratory of Software in Computing and Communication Anhui Province China USTC-SICT Joint Laboratory on Network and Communication China Peking University China School of Electronic Engineering and Computer Science Peking University China

In this paper we propose a modification of quadratic NURSSes called EDSes (Extended Doo-Sabin Surfaces). EDSes inherit the refinement rules for quadratic NURSSes for four-sided faces but use the refinement rules for Doo-Sabin surfaces for faces with other than four sides. Compared to quadratic NURSSes, if all the knot intervals are positive, EDSes always converge to G1 continuous limit surfaces with closed-form limit point as well as limit normal rules. 1548-7741/Copyright © 2011 Binary Information Press.

关键词： Information systems

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