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International Conference on Computer Application and System Modeling

作者： Su, Liangliang Wang, Nian Tang, Jun Chen, Le Wang, Ruiping Education Ministry Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei Anhui 230039 China

ISBN: (纸本)9781424472369

In the process of disease diagnosis, determining the types of disease is very important. With the development of DNA microarray technology, the research on huge gene expression profile has become the focus of disease classification. This paper presents a method of classification of gene expression profile based on the adjacency matrix spectral decomposition. First, samples are mapped to a high-dimensional space of points to construct an adjacency matrix, and we can obtain eigenvectors describing the feature of the samples by decomposing the matrix. Finally, use eigenvectors as inputs of the SVM (Support Vector Machine) and KNN (K nearest neighbor) classifiers to classify gene expression profile. In this way sample information can be completely preserved, which enables an approach to making gene expression profile from one without structural information to one with structural information. The validity of this method is verified by comparative experiments. © 2010 IEEE.

关键词： Eigenvalues and eigenfunctions

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Novel algorithm for hand vein recognition based on Retinex method and SIFT feature analysis

Novel algorithm for hand vein recognition based on Retinex m...

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2011 International Conference on Electric and Electronics, EEIC 2011

作者： Wang, Hua-Bin Tao, Liang Hu, Xue-You Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui 230039 China

ISBN: (纸本)9783642217463

Based on the Retinex method and the SIFT feature analysis, this paper presents a novel algorithm for hand vein recognition. First of all, the principle of the near-infrared hand vein image acquisition is introduced. Secondly, the Retinex method is used to normalize hand vein images, and the adaptive smoothing method is selected to estimate the illumination. Then gray cosine transform is used to enhance the discrimination of the skin and the vein in hand vein images. Thirdly, the SIFT feature analysis algorithm is used to extract the feature of hand vein. Finally, the match method of two hand vein images based on SIFT is given. A hand vein recognition system in Microsoft VC6.0 is also developed and the experimental results demonstrate the high efficiency of the proposed algorithm in runtime and correct recognition rate. © Springer-Verlag Berlin Heidelberg 2011.

关键词： Cosine transforms

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Multiplicative reconstruction based on the transport of intensity equation 4

Multiplicative reconstruction based on the transport of inte...

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4th International Conference on Fuzzy Systems and Data Mining, FSDM 2018

作者： Cheng, Hong Wang, Jincheng Shen, Chuan Zhang, Cheng Zhang, Fen Bao, Wenxia Education Ministry Key Laboratory of Intelligent Computing and Signal Processing Anhui University HefeiAnhui230039 China

ISBN: (纸本)9781614999270

In order to effectively recover the phase information of the object and reconstruct the three-dimensional shape of the object, a multiplicative reconstruction based on the transport of intensity equation (TIE) is proposed. Firstly, combining with the relationship between the light field moment imaging and the TIE, the phase information and the first moments of the light field are solved between the two differently focused intensity images, and the phase perspective can be recovered. In this way, the phase can be observed from different slight angles, and the three-dimensional shape of the phase of the object is reconstructed in combination with the multiplicative technique . At the same time, the object is rotated at different angles for the purpose of reconstructing the three-dimensional shape of the object phase under these angles. Finally, the correctness and effectiveness of the algorithm are verified by experimental results. © 2018 The authors and IOS Press. All rights reserved.

关键词： Fuzzy systems

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3D fresnel field computing method based on its propagation reversibility

3D fresnel field computing method based on its propagation r...

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Chinese Society for Optical Engineering Conferences, CSOE 2016

作者： Zhang, Kai Wang, Xiangxiang Tan, Shengxia Shen, Chuan Wei, Sui Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui230039 China

ISBN: (纸本)9781510610118

There are many 3D data structures for computing diffraction field, the description based on 3D point-cloud is the elemental method of other descriptions, the diffraction field of 3D scene can be thought as the superposition of the diffraction field of each sampled light point and other descriptions can be thought as grouping with point-cloud by different way. The paper focuses on devising a computation method of 3D Fresnel field which is based on Fresnel diffraction field propagation reversibility. The proposed method combines the reversibility of Fresnel propagation and the requirement of sampling spacing by Nyquist criterion, i.e. to find the best space positions to optimize the number of sampling points and the reconstruction for the 3D Fresnel field. The method can be applied to reduce the computational complexity and improve computational efficiency. © 2017 SPIE.

关键词： Computational efficiency

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Novel algorithm for enhancement of hand vein images based on adaptive filtering and retinex method

Novel algorithm for enhancement of hand vein images based on...

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2012 IEEE International Conference on Information Science and Technology, ICIST 2012

作者： Wang, Hua-Bin Tao, Liang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui 230039 China

ISBN: (纸本)9781457703454

Based on adaptive filtering and retinex method, this paper presents a novel algorithm for Enhancement of hand vein images. First of all, the principle of the near-infrared hand vein image acquisition is introduced. Secondly, the Retinex method is used to normalize hand vein images, and the adaptive smoothing method is selected to estimate the illumination. Thirdly, Gray cosine transform is used to enhance the discrimination of the skin and the vein in hand vein images. Finally, a determination criterion of hand vein is established to remove the false vein blocks from the segmented hand vein images. We developed a hand vein recognition system in Microsoft VC6.0 and the experimental results demonstrate the high efficiency of the proposed algorithm in runtime and correct recognition rate. © 2012 IEEE.

关键词： Adaptive filtering

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Prediction of protein-protein interaction sites using granularity computing of quotient space theory

Prediction of protein-protein interaction sites using granul...

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International Conference on Computer Science and Software Engineering, CSSE 2008

作者： Du, Xiuquan Cheng, Jiaxing Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui province China

ISBN: (纸本)9780769533360

Proteins function through interactions with other proteins, compounds, RNA and DNA. Prediction of protein interface sites is the key process for providing clues to the function of a protein, and is becoming increasing relevant to drug discovery. In this paper, combining the protein features with the theory of granular computing of quotient space based on protein-protein interaction sites classification algorithm is proposed, (i.e. PPI-GS Model). Such algorithm uses the support vector machine (SVM) with better generalization ability to get different classification results, and construct different quotient space by using these results. The final result is got by granularity synthesis method to organize these quotient spaces. The experiment suggests that this new method is in effect. Also, the potency of the granular computing of quotient space in the application of protein-protein interaction sites prediction and processing is demonstrated © 2008 IEEE.

关键词： Support vector machines

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Locating human eyes in face images based on illumination normalization and progressive thresholding

Locating human eyes in face images based on illumination nor...

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International Conference on Computer Science and education

作者： Wang, Hua-Bin Tao, Liang Hu, Xue-You Wang, Shi-Yi Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui 230039 China

ISBN: (纸本)9781424460052

Based on illumination normalization and progressive thresholding, this paper presents a novel algorithm for automatic localization of human eyes in still images with complex background. First of all, Retinex method is used to realize normalizing of the face image. Secondly, a determination criterion of eye location is established by the priori knowledge of geometrical facial features. Thirdly, a range of threshold values that would separate eye blocks from others in a segmented face image is estimated. With the progressive increase of the threshold by an appropriate step in that range, once two eye blocks appear from the segmented image, they will be detected by the determination criterion of eye location. Finally, the 2-D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. The experimental results demonstrate the high efficiency of the algorithm in runtime and correct localization rate. ©2010 IEEE.

关键词： Image segmentation

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A low-complexity resource allocation algorithm based on proportional fairness for multiuser OFDM systems

A low-complexity resource allocation algorithm based on prop...

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2008 International Conference on Wireless Communications, Networking and Mobile computing, WiCOM 2008

作者： Yanjun, Hu Li, Li Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui 230039 China

ISBN: (纸本)9781424421084

In this paper, we propose a novel resource allocation algorithm based on proportional fairness in multiuser OFDM systems. Because the utility function is always used for the optimization and achieving the tradeoff between the efficiency and fairness, the proportional fairness optimization problem can be formulated as maximizing the utility function, which is the sum of logarithmic user data rate. However, the optimal proportional fairness problem is NP-hard which requires high complexity. To reduce the complexity of power allocation, we propose a novel power allocation algorithm which achieves good tradeoff between complexity and performance. We discuss our resource allocation algorithm and report on its performance using a set of simulation experiments. © 2008 IEEE.

关键词： Optimization

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A new modified differential evolution for global optimisation

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International Journal of Wireless and Mobile computing 2016年第1期10卷 56-61页

作者： You, Xuemei Ma, Yinghong Liu, Zhiyuan School of Management Science and Engineering Shandong Normal University Jinan250014 China Key Laboratory of Intelligent Computing Signal Processing Ministry of Education Anhui University Hefei230039 China

Differential evolution (DE) is a population-based random optimisation algorithm, which has been used to solve benchmark functions and real-world optimisation problems. The DE has three important operators: mutation, crossover, and selection. The mutation operator in the original DE can hardly balance the exploitation and exploration of the search. In this paper, we design a new mutation operator to improve the exploitation ability of DE. Experiments are carried out on 13 classical test functions. Simulation results show that the new mutation scheme can help DE to find better solutions than three other classical DE mutation strategies. © Copyright 2016 Inderscience Enterprises Ltd.

关键词： Global optimization

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Improving Transferability Reversible Adversarial Examples Based on Flipping Transformation 9th

Improving Transferability Reversible Adversarial Examples Ba...

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9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023

作者： Fang, Youqing Jia, Jingwen Yang, Yuhai Lyu, Wanli Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230601 China

ISBN: (纸本)9789819959679

Adding subtle perturbations to an image can cause the classification model to misclassify, and such images are called adversarial examples. Adversarial examples threaten the safe use of deep neural networks, but when combined with reversible data hiding (RDH) technology, they can protect images from being correctly identified by unauthorized models and recover the image lossless under authorized models. Based on this, the reversible adversarial example (RAE) is rising. However, existing RAE technology focuses on feasibility, attack success rate and image quality, but ignores transferability and time complexity. In this paper, we optimize the data hiding structure and combine data augmentation technology, which flips the input image in probability to avoid overfitting phenomenon on the dataset. On the premise of maintaining a high success rate of white-box attacks and the image’s visual quality, the proposed method improves the transferability of reversible adversarial examples by approximately 16% and reduces the computational cost by approximately 43% compared to the state-of-the-art method. In addition, the appropriate flip probability can be selected for different application scenarios. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Deep neural networks

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