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作者： Huang, Liusheng Xu, Hongli Wan, Yingyu Wu, Junmin Li, Hong Department of Computer Science and Technology University of Science and Technology of China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230027 China

Time synchronisation is a critical topic in wireless sensor networks for its wide applications, such as data fusion, TDMA scheduling and cooperated sleeping, etc. In this paper, we present an Accurate Time Synchronisation (ATS) protocol based on linear least square for sensor networks. Unlike the previous protocols, all nodes aren't synchronised to some reference nodes or sink node, but to a virtual clock. Moreover, each pair of the nodes is synchronised to each other. The main advantages of ATS are simplicity and accuracy. Especially, the variance of the synchronised drift error is less than Dsδ/ 2β 2, where Ds, δ and β are the depth of the network, the maximal variance of the link delay and the sampling interval, respectively. The experiments show that ATS protocol has achieved at least 37% performance enhancement than the previous pairwise algorithm. Copyright © 2007 Inderscience Enterprises Ltd.

关键词： Synchronization

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Fusion of visible and thermal images for facial expression recognition

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Frontiers of computer Science 2014年第2期8卷 232-242页

作者： Shangfei WANG Shan HE Yue WU Menghua HE Qiang JI School of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Key Lab of Computing and Communicating Software of Anhui Province Hefei 230027 China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY12180-3590 USA

Most present research into facial expression recognition focuses on the visible spectrum, which is sen- sitive to illumination change. In this paper, we focus on in- tegrating thermal infrared data with visible spectrum images for spontaneous facial expression recognition. First, the ac- tive appearance model AAM parameters and three defined head motion features are extracted from visible spectrum im- ages, and several thermal statistical features are extracted from infrared （IR） images. Second, feature selection is per- formed using the F-test statistic. Third, Bayesian networks BNs and support vector machines SVMs are proposed for both decision-level and feature-level fusion. Experiments on the natural visible and infrared facial expression （NVIE） spontaneous database show the effectiveness of the proposed methods, and demonstrate thermal 1R images＇ supplementary role for visible facial expression recognition.

关键词： facial expression recognition feature-level fu-sion decision-level fusion support vector machine Bayesiannetwork thermal infrared images visible spectrum images

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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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2009 International Conference on Computational Intelligence and software Engineering, CiSE 2009

作者： Dong, Lanfang Wu, Yuan Zhou, Shanhai Anhui Province Key Lab. of Software in Computing and Communication College of Computer Science and Technology USTC Hefei China College of Computer Science and Technology University of Science and Technology of China Hefei China

ISBN: (纸本)9781424445073

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. ©2009 IEEE.

关键词： Parallel algorithms

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Emotional music generation using interactive genetic algorithm

Emotional music generation using interactive genetic algorit...

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International Conference on computer Science and software Engineering, CSSE 2008

作者： Zhu, Hua Wang, Shangfei Wang, Zhen Key Lab. of Computing and Communicating Software of Anhui Province Department of Computer Science University of Science and Technology of China Hefei Anhui 230027 China

ISBN: (纸本)9780769533360

This paper proposes an approach to generate emotional music using Interactive Genetic Algorithm. Performance rules are described by the KTH rule system. Different emotional expressions can be modeled by using selections of rules and rule weights. Interactive Genetic Algorithm is applied to optimize rule weights based on users' subjective evaluation. Users can get their satisfied emotional music with the help of GA, although they have no profound knowledge for composition. Two kinds of emotional music with the states of happy and sad are obtained finally. The Sheffé's method of paired comparisons is carried out to estimate the effectiveness of generated music. In the confidence interval of 99%, the music generated by the proposed approach are more approbatory than that generated by the expert, both for the emotion of happy and sad. © 2008 IEEE.

关键词： Genetic algorithms

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A real-time attitude recognition by eye-tracking 11

A real-time attitude recognition by eye-tracking

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3rd International Conference on Internet Multimedia Computing and Service, ICIMCS 2011

作者： Lv, Yanpeng Wang, Shangfei Shen, Peijia Key Lab. of Computing and Communicating Software of Anhui Province School of Computer Science and Technology University of Science and Technology of China Hefei Anhui China

ISBN: (纸本)9781450309189

Attitude, which is the outward manifestation of human psychology information, is inevitable in everyday situation. Attitude recognition by artificial intelligence has become a hotspot and produced promising results in recent years. In this paper, we propose an attitude recognition method based on eye-tracking. We first improve the eye location algorithm in OpenCV and assume that the trajectory of eyes-center is the same with that of head. Then using eye location method, the center of eyes is calculated. By analysis of displacement of eyes' centers in each two successive frames, sub-result is obtained. The final result is determined by voting algorithm. Experimental results indicate that this method could recognize positive and negative attitudes in real time. We applied our method to "KeJia", an intelligent service robot and it worked well. © 2011 ACM.

关键词： Eye tracking

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Chaos-based estimation method for software reliability

Chaos-based estimation method for software reliability

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2nd International Conference on Networks Security, Wireless communications and Trusted Computing, NSWCTC 2010

作者： Shao, Chenxi Huang, Chao MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology of China Hefei Anhui China Computer Science Department University of Science and Technology of China Hefei Anhui China Anhui Province Key Laboratory of Software in Computing and Communication Hefei Anhui China

ISBN: (纸本)9780769540115

Reliability is one of the essential attributes of the dependable software, and an important factor for quantitatively characterizing software quality. Conventional methodology is software Reliability Growth Model (SRGM), which specifies the form of a random process that describes the behavior of software failures with respect to time. In this paper, we propose that the behavior of software failures possesses determinacy as well as randomness. So we apply chaos theory to software reliability assessment. Based on chaos theory, we can estimate software reliability according to the objective law hidden in the data, unlike the SRGM which usually makes a number of assumptions. This approach avoids the subjectivity in the SRGM. Also, we analyze the actual software failures data sets with the add-weighted one-rank localregion method (AOLM) based on chaos theory and compare the results with the conventional stochastic SRGM JM (Jelinsky-Moranda) model and NHPP (nonhomogeneous poisson process) mode. Comparison results show that the proposed method fits better than the stochastic ones. © 2010 IEEE.

关键词： software reliability

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9th International Symposium on Neural Networks, ISNN 2012

作者： Wang, Shangfei He, Shan Zhu, Hua Key Lab. of Computing and Communicating Software of Anhui Province School of Computer Science and Technology University of Science and Technology of China Hefei Anhui 230027 China

ISBN: (数字)9783642313622

ISBN: (纸本)9783642313615

This paper proposes a novel approach to search for the optimal combination of a measure function and feature weights using an evolutionary algorithm. Different combinations of measure function and feature weights are used to construct the searching space. Genetic Algorithm is applied as an evolutionary algorithm to search for the candidate solution, in which the classification rate of the K-Nearest Neighbor classifier is used as the fitness value. Three experiments are carefully designed to show the attractiveness of our approach. In the first experiment, an artificial data set is constructed to verify the effectiveness of the proposed approach by testing whether it could find the optimal combination of measure function and feature weights which satisfy the data set. In the second experiment, data sets from the University of California at Irvine are employed to verify the general applicability of the method. Finally, a prostate cancer data set is used to show its effectiveness on high-dimensional data. © 2012 Springer-Verlag.

关键词： Genetic algorithms

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Low-Resolution Face Recognition Enhanced by High-Resolution Facial Images 17

Low-Resolution Face Recognition Enhanced by High-Resolution ...

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17th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2023

作者： Wang, Haihan Wang, Shangfei University of Science and Technology of China Key Lab of Computing and Communication Software of Anhui Province China University of Science and Technology of China Anhui Robot Technology Standard Innovation Base China

ISBN: (纸本)9798350345445

Despite recent advances in high-resolution (HR) face recognition, recognizing identities from low-resolution (LR) facial images remains challenging due to the absence of facial shape and detail. Current research focuses solely on reducing the distribution discrepancy between the HR and LR embeddings from the output layer, rather than thoroughly investigating the superiority of HR facial images for improved performance. In this paper, we propose a novel low-resolution face recognition method enhanced by the guidance of high-resolution facial images in both feature map space and embedding space. Specifically, in feature map space, the similarity constraint across the multilayer feature maps is adopted to align the intermediate features of facial images. Then we introduce multiple generators to recover HR images from extracted feature maps and utilize the reconstructed loss to supplement the missing facial details in LR images. In embedding space, we propose a supervised auxiliary contrastive loss to encourage the paired HR and LR embedding from the same class to be pulled together, whereas those from different classes are pushed apart. The one-to-many matching strategy and the adaptive weight adjustment strategy are applied to make the network adapt to the inputs of different resolutions. Experiments on four benchmark datasets with both synthesized and realistic LR facial images demonstrate the superiority of the proposed method to state-of-the-art. © 2023 IEEE.

关键词： Embeddings

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Human Pose Estimation with Shape Aware Loss 17

Human Pose Estimation with Shape Aware Loss

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17th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2023

作者： Fang, Lin Wang, Shangfei University of Science and Technology of China Key Lab of Computing and Communication Software of Anhui Province China University of Science and Technology of China Anhui Robot Technology Standard Innovation Base China

ISBN: (纸本)9798350345445

Although the mean square error (mse) of heatmap is an intuitive loss for heatmap-based human pose estimation, the joints localization accuracy may not be improved when heatmap mse reduces. In this paper, we show that a great cause for such misalignment is the unnecessary requirement from heatmap mse on the irrelevant Gaussian parameter, i.e. maximum. The coordinate prediction is precise as long as the probability distribution held by the predicted heatmap is a well-shaped Gaussian distribution and has the same center as the ground truth. However, heatmap mse unnecessarily requires the Gaussian distribution to hold the same maximum as the ground truth. Correspondingly, we introduce mse on the image gradients of the target and predicted heatmap (referred to as gradmap mse) to focus on the shape of the heatmap. Combining heatmap and gradmap mse, we propose a simple yet effective Shape Aware Loss (SAL) method. Being model-agnostic, our method can benefit various existing models. We apply SAL to the three latest network architectures and obtain performance improvements for all of them. Comparisons of the visualized predicted heatmaps further prove the effectiveness of the proposed method. © 2023 IEEE.

关键词： Mean square error

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A novel approach for signal transduction networks simulation at a mesoscopic level

A novel approach for signal transduction networks simulation...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Shao, Chenxi Deng, Hongli MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology of China Hefei Anhui 230027 China Department of Computer Science and Technology University of Science and Technology of China Hefei Anhui 230027 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei Anhui 230027 China

ISBN: (纸本)1424415098

Signal transduction (ST) networks simulation is important to medical research. However, owing to the complexity of the networks, most methods presented for the simulation are not desirable. Here, based on multi-agent system (MAS), we proposed a novel approach characterized by a multi-level discrete space and mesoscopic molecule-agents for describing ST networks at a mesoscopic level. The space is developed for the representation of the cellular space;it provides a relatively sufficient spatial representation with less computational cost. The mesoscopic molecule-agents model the active components within the networks, which will offer new potentials to overcome the combinatorial complexity as well as make computation feasible. To validate this method, the simulations of a composition/decomposition system and the Mitogen-Activated Protein Kinase (MAPK) signal transduction pathway are implemented. Finally, an in-silico experiment with perturbation in the MAPK pathway is made. The results obtained from the simulations demonstrate the validity of the approach. ©2007 IEEE.

关键词： Molecules

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