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International Conference on Hybrid Intelligent Systems (HIS)

作者： Jun Zhang Wenjian Luo School of Computer Science and Technology University of Science and Technology Hefei Anhui China Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology Hefei Anhui China

Differential Evolution is one kind of Evolutionary Algorithms, which has been successfully applied to solve many optimization problems. In this paper, a directed differential mutation (DDM), which utilizes the directional derivative to decide a suitable search direction and a proper mutation step size, is proposed. It is merged into the classical DE to form a new algorithm, named directed differential evolution (DDE). The performance of the DDE is tested on 23 classical problems for numerical optimization. The experimental results demonstrate that the performance of the DDE outperforms the classical DE on most functions.

关键词： Optimization Vectors Equations Hybrid intelligent systems Algorithms Programming Maintenance engineering

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Spike sorting based on radial basis function network with overlap decomposition

Spike sorting based on radial basis function network with ov...

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作者： Dai, Min Hu, Su-Rui Qi, Jia Tianjin Key Lab of Intelligent Computing and Novel Software Technology School of Computer and Communication Engineering Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

Spike sorting is the essential step in analyzing recording spike signals for studying information processing mechanisms within the nervous system. Overlapping is one of the most serious problems in the spike sorting for multi-channel recordings. In this paper, a modified radial basis function (RBF) network is proposed to decompose the overlapping signals and separate spikes within the same RBF network. A modified radial basis function based on the Gaussian function is employed in the method to improve the accuracy of overlap decomposition. In addition, the improved constructing algorithm reduces the calculation cost by taking advantage of the symmetry of the RBF network. The performance of the presented method is tested at various signal-to-noise ratio levels based on simulated data coming from the University of Leicester and Wave-clus software. Experiment results show that our method successfully solves the fully overlapping problem and has higher accuracy comparing with the Gaussian function. © 2011 Elsevier Ltd. All rights reserved.

关键词： Radial basis function networks

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Modeling and analysis of collaboration network in large-scale complex software systems

Modeling and analysis of collaboration network in large-scal...

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作者： Sun, Shiwen Xia, Chengyi Wang, Li School of Computer and Communication Engineering Tianjin University of Technology Tianjin 300384 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China

ISBN: (纸本)9789881725592

Large-scale software systems represent an important class of artificial complex systems, which can be investigated from the complex network perspective. Based on the collaboration network model, the collaboration relationships between header files from source code of large-scale computer software systems are explored. It has been found that the generated network displays a high degree of heterogeneity in connectivity. The structural heterogeneity also leads to network's another important feature - Robust yet fragile. That is the network displays an unexpected degree of robustness to random attack or disturbance, but is extremely vulnerable to intentional attack, i.e. to the removal of a few of highly connected nodes. These findings can help people to get a better understanding of the organizational principles and evolving mechanism of complex software systems. © 2011 Chinese Assoc of Automati.

关键词： Complex networks

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An Automatic Matching Algorithm Based on SIFT Descriptors for Remote Sensing Ship Image

An Automatic Matching Algorithm Based on SIFT Descriptors fo...

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International Conference on Image and Graphics (ICIG)

作者： Xin You Nenghai Yu MOE-Microsoft key laboratory of Multimedia Computing and Communication University of Science and Technology HeFei Anhui China

SIFT judge the true or false targets according to the density of matching feature points. But for different images, the numbers of matching feature points are different, the density is different. So SIFT can't judge the real targets automatically, requiring human-computer interaction. This paper proposes an algorithm based on SIFT realizing the automatic judgment of real targets. Firstly, do the image segmentation. Secondly, match the feature points in every area. At last, do frequency domain analysis for each matching feature vectors. The experimental results show that our algorithm solves the problem that SIFT judges the real target needing human-computer interaction. And also, our algorithm can determine the location and number of real targets.

关键词： Algorithm design and analysis Remote sensing Frequency domain analysis Image matching Marine vehicles Feature extraction Oceans

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Spontaneous Facial Expression Recognition Based on Feature Point Tracking

Spontaneous Facial Expression Recognition Based on Feature P...

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International Conference on Image and Graphics (ICIG)

作者： Shan He Shangfei Wang Yanpeng Lv Key Laboratory of Computing and Communicating Software of Anhui Province School of Computer Science and Technology University of Science and Technology Hefei Anhui China

In recent years, facial expression recognition has attracted a lot of attention because of its importance in human-computer interaction. However, most previous work has focus on posed expression. In this paper, we propose a spontaneous facial expression recognition method based on feature point tracking. First, all expression sequences are normalized according to their pupils' coordinates. Second, 23 points are labeled manually in the onset and apex frames. Then Kalman filter is used for tracking. Two kinds of features, point displacement features and points distance variation features, are extracted. Finally, Hidden Markov Model is employed as classifier. Experiments have been conducted on the spontaneous facial expression database of USTC-NVIE. The results indicate that Kalman filter point tracking method could detect the right place of points, and the points distance variation features are more suitable than the point displacement features for the facial expression recognition.

关键词： Feature extraction Kalman filters Hidden Markov models Tracking Head Accuracy Face recognition

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Spontaneous facial expression recognition by using feature-level fusion of visible and thermal infrared images

Spontaneous facial expression recognition by using feature-l...

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IEEE Workshop on Machine Learning for Signal Processing

作者： Zhaoyu Wang Shangfei Wang Key Laboratory of Computing and Communicating Software of Anhui Province School of Computer Science and Technology University of Science and Technology of China Hefei Anhui China

In this paper, we propose a spontaneous facial expression recognition method by using feature-level fusion of visible and thermal infrared facial images. Firstly, the appearance features of visible images and statistic parameters of thermal infrared difference images are extracted. Then, analysis of variance is adopted to select the optimal feature subsets from both visible and thermal ones. These selected features are combined as the input of a K-Nearest Neighbors classifier. We experimentally evaluate the effectiveness of the proposed method on USTC-NVIE database. The experimental results show that fusion of visible and thermal infrared features can improve the accuracy rate of negative expressions and reduce the discrepancy. Thus, it can improve the expression recognition performance.

关键词： Feature extraction Active appearance model Accuracy Face recognition Vectors Image recognition Shape

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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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Accelerating Vehicle Detection in Low-Altitude Airborne Urban Video

Accelerating Vehicle Detection in Low-Altitude Airborne Urba...

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International Conference on Image and Graphics (ICIG)

作者： Xianbin Cao Renjun Lin Pingkun Yan Xuelong Li Anhui Province Key Laboratory of Software in Computing and Communication School of Computer Science and Technology University of Science and Technology Hefei Anhui China Center of OPTical IMagery Analysis and Learning (OPTIMAL) State Key Laboratory of Transient Optics and Photonics Xi'an Institute of Optics and Precision Mechanics Chinese Academy and Sciences Xi'an Shaanxi China

The limitation of the existing methods of traffic data collection is that they rely on techniques that are strictly local in nature. The airborne system in unmanned aircrafts provides the advantages of wider view angle and higher mobility. However, detecting vehicles in airborne videos is a challenging task because of the scene complexity and platform movement. Most of the techniques used in stationary platforms cannot perform well in this situation. A new and efficient method based on Bayes model is proposed in this paper. This method can be divided into two stages, attention focus extraction and vehicle classification. Experimental results demonstrated that, compared with other representative algorithms, our method obtained better performance with higher detection rate, lower false positive rate and faster detection speed.

关键词： Vehicles Feature extraction Vehicle detection Road transportation Cameras Atmospheric modeling Classification algorithms

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KLT Feature Based Vehicle Detection and Tracking in Airborne Videos

KLT Feature Based Vehicle Detection and Tracking in Airborne...

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International Conference on Image and Graphics (ICIG)

作者： Xianbin Cao Jinhe Lan Pingkun Yan Xuelong Li Anhui Province Key Laboratory of Software in Computing and Communication School of Computer Science and Technology University of Science and Technology Hefei Anhui China Center of OPTical IMagery Analysis and Learning (OPTIMAL) State Key Laboratory of Transient Optics and Photonics Xi'an Institute of Optics and Precision Mechanics Chinese Academy and Sciences Xi'an Shaanxi China

Airborne vehicle detection and tracking systems equipped on unmanned aerial vehicles (UAVs) are difficult to develop because of factors like UAV motion, scene complexity and so on. In this paper, we propose a new framework of multi-motion layer analysis to detect and track moving vehicles in airborne platform. Moving vehicles are firstly detected by registration and temporal differencing to establish motion layers. After motion layers are constructed, they are maintained over time for tracking vehicles. All vehicles are tracked by maintaining their corresponding motion layers. Our experimental results showed that compared with other previous algorithms, our method can achieve better results in terms of detection and tracking performance.

关键词： Vehicles Tracking Videos Feature extraction Vehicle detection Maintenance engineering Motion segmentation

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Research on Ultra-Dependable Embedded Real Time Operating System

Research on Ultra-Dependable Embedded Real Time Operating Sy...

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social computing (CPSCom) Green computing and communications (GreenCom)

作者： Hui Chen ShiPing Yang Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Normal University Shanghai China Guangzhou Haige Communication Industry Group Guangzhou China

In this paper, to research and design ultra-dependable embedded real time operating system supporting security and safety, spatial and temporal isolation safeguard is proposed and used. Temporal isolation mechanism guarantees a subsystem can exclusively use a pre-allocated processing time without any intervention from other subsystem. On the other hand, spatial isolation implies that a subsystem cannot inadvertently access other subsystem's space resources, like memory, buffers, I/O ports, and registers. Thus, a subsystem is the owner of its resources, such as memory, I/O ports, and processor time units. From this, the real time tasks running in different subsystems never interfere with each other. To support the temporal isolation among subsystems, a two-level scheduling model is designed, which consists of a low-level cyclic schedule at the operating system level and high-level fixed priority schedule at subsystem level. Thus, a real time task in a subsystem can only be scheduled and executed during the static time window allocated to the subsystem, and any task overrun cannot cross the time window boundaries of subsystem. It is very easy to restrain a task time-failure within the subsystem with temporal isolation mechanism. In reference to spatial isolation safeguard, a based on hard currency and error holding mechanism is presented, it apply to most embedded modern processors with memory protection unit, such as i386sx, PowerPC. As a result, an ultra-dependable embedded RTOS supporting temporal and spatial isolation safeguard is implemented and verified. It is called ERTOS designed by software Engineering Institute of East China Normal University.

关键词： Servers Operating systems Safety Real time systems Schedules Computer hacking

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