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作者： Guan, Qingsong Huang, Wenjiang Zhao, Jinling Liu, Liangyun Liang, Dong Huang, Linsheng Wang, Li Yang, Guijun Key Laboratory of Digital Earth Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui China Beijing Agriculture Information Technology Research Center Beijing China

As the progressive effects of global warming, the yield loss caused by diseases and pests are increasing in winter wheat. It is necessary to distinguish different diseases for guiding variable rate spraying in wheat. Nevertheless, it is very difficult to quantitatively identify different diseases and fertilizer-water stress by specific sensitive bands selected from multi spectral data over a large area. Conversely, hyper spectral data contain more information, and provide the potential for quantitative identification of different stresses. This study focused on identification and distinction of yellow rust, powdery mildew and fertilizer-water stress by canopy spectral reflectance. Fifteen commonly used vegetation indices were selected, and independent t-test was done to get sensitivity index for each stress. Finally, a combination index was optimally selected to distinguish the three stresses. The results showed that the integrative index (NDVI-PhRI) combining normalized difference vegetation index (NDVI) and physiological reflectance index (PhRI) could be used to identify powdery mildew and yellow rust (PM-YR). A 2-dimensional spatial coordinate was established based on the NDVI and PhRI derived from hyper spectral data, then the different stress data were displayed in the spatial coordinate and the classification boundary could be used to identify the powdery mildew and yellow rust stress. Similarly, yellow rust and fertilizer-water stress (YR-n0w0) can be distinguished by the combination index (MSR-PhRI) derived from modified simple ratio (MSR) and physiological reflectance index (PhRI);and the combination index (NRI-RVSI) derived from nitrogen reflectance index (NRI) and red-edge vegetation stress index (RVSI) was accurate to identify powdery mildew and fertilizer-water stress (PM-n0w0). For the PM-YR, YR-n0w0 and PM-n0w0 models, their verification accuracies were 83.3%, 88%, 88.75%, and the kappa accuracies were 63.41%, 74.79%, 71.43%, respectively. It indicate

关键词： Physiology

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A Secure and Efficient Scheme for Digital Gift Certificates

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Journal of Information Hiding and Multimedia signal processing 2015年第3期6卷 416-429页

作者： Liu, Yanjun Chang, Chin-Chen Sun, Chin-Yu Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Department of Electrical Engineering Anhui University 111 Jiu-Long road Hefei230039 China Department of Computer Science and Information Engineering Asia University 500 Liou-feng Road Taichung413 Taiwan Department of Information Engineering and Computer Science Feng Chia University 100 Wen-hwa Road Taichung407 Taiwan Department of Computer Science National Tsing-Hua University 101 Kuang-Fu Road Hsinchu300 Taiwan

With the increasingly rapid developments in e-commerce, schemes for digital gift certificates have become prevalent electronic payment systems due to their practicality and simplicity. In 2002, Chan and Chang introduced the concept of digital gift certificates and proposed the first scheme associated with them. Recently, Chang and Chang (2005) proposed a more practical scheme, called DGC-US (digital gift certificates with unconstrained spending), which can reduce the computational cost of all entities involved in Chan and Chang‘s scheme, especially the computational cost of the electronic department store. However, the asymmetric encryption/decryption operations required in the DGC-US scheme still waste a significant amount of time. In this paper, we propose a novel authentication scheme for digital gift certificates based on Chebyshev chaotic maps and the blind signature. Our proposed scheme can satisfy the essential security requirements and withstand various well-known attacks. Our analyses have shown that our proposed scheme maintains all of the merits of the DGC-US scheme but is more efficient in terms of computational cost. © 2015, Ubiquitous International. All rights reserved.

关键词： Authentication

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Current Bioinformatics 2014年第3期9卷 218-227页

作者： Chen, Xiao-Su Yu, Zu-Guo Zheng, Juan Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Hunan411105 China School of Mathematical Sciences Queensland University of Technology GPO Box 2434 BrisbaneQ 4001 Australia School of Information and Engineering Xiangtan University Hunan411105 China

Whole genome sequences are generally accepted as excellent tools for studying evolutionary relationships. Due to the problems caused by the uncertainty in alignment, existing tools for phylogenetic analysis based on multiple alignments could not be directly applied to the whole-genome comparison and phylogenomic studies. There has been a growing interest in alignment-free methods for phylogenetic analysis using complete genome data. The "distances" used in these alignment-free methods are not proper distance metrics in the strict mathematical sense. In this study, we first review them in a more general frame — dissimilarity. Then we propose some new dissimilarities for phylogenetic analysis. Last three genome datasets are employed to evaluate these dissimilarities from a biological point of view. © 2014 Bentham Science Publishers.

关键词： Alignment

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CM-curve: A 2D graphical representation of protein sequences and its application

CM-curve: A 2D graphical representation of protein sequences...

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2014 International Conference on Medical Engineering and Bioinformatics, MEB 2014

作者： Wang, Lei Peng, Hui Zheng, Jinhua Key Laboratory of Intelligent Computing and Information Processing Ministry of Education Xiangtan University Xiangtan China College of Information Engineering Xiangtan University Xiangtan China

ISBN: (纸本)9781845649920

To facilitate the intuitional analysis of the protein sequences, we introduce a novel 2D graphical representation method CM-curve based on the characteristic model of protein sequence, which may reflect the innate structure of the protein sequence. And then, we design two numerical characterizations of protein graphs as descriptors to analyze the similarity/dissimilarity of the nine ND5 protein sequences. Comparing with existing methods, our method is not only proved to be visible, intuitional, and simple but also has no circuit or degeneracy, and even more important, it can keep excellent visual inspection for long protein sequence because the storage space required by our method is constant and has nothing to do with the length of protein sequence. © 2014 WIT Press.

关键词： Proteins

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Adaptive comp downlink transmission mode selection in backhaul-constrained cellular systems

Adaptive comp downlink transmission mode selection in backha...

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International Conference on Advanced Infocomm Technology (ICAIT)

作者： Yi Wang Yanjun Hu Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei China

ISBN: (纸本)9781479954568

CoMP has been adopted in 3GPP LTE-Advanced to improve the coverage of high data rates. And the downlink transmission mode, JP or CB, should be selected for base station cooperation when the backhaul capacity is limited. In this paper, considering different numbers of users, we propose an adaptive transmission mode selection. To mitigate the performance degradation caused by mismatching between numbers of transmitting antennas and MSs, we develop a strategy with proportional fairness that takes into account backhaul constraints and users selection. The simulation results show that the proposed algorithm provide considerable performance gains in the sum rates per cell and the cell-edge user throughput under constrained-capacity backhaul links.

关键词： Computer architecture Interference Microprocessors Downlink Transmitting antennas Joints Performance gain

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A DCT-SVD Domain Watermarking for Color Digital Image Based on Compressed Sensing Theory and Chaos Theory

A DCT-SVD Domain Watermarking for Color Digital Image Based ...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Mengmen Li Chao Han Key laboratory of intelligent computing & signal processing Anhui university Hefei China

ISBN: (纸本)9781479970063

In this paper, it is presented that a new color image watermarking algorithm based on compressed sensing theory and chaos theory in discrete cosine transform (DCT) and singular value decomposition (SVD) domain. Initially, a color watermarking image is preprocessed by four steps i.e. Being divided into red, green and blue channels, being sparse by wavelet transform, scrambling by 1-D chaos sequence and measurement through Gaussian random matrix. Here, the chaos sequence is produced by 1-D Logistic mapping. Then the red, green and blue channel images of a color host image are divided into 8×8 blocks and then transformed by DCT. Next the first DCT coefficient of each block is selected to compose a new matrix, and the new matrix is decomposed by SVD. The singular values are the regions of watermarking embedment. Thirdly, three sets of measured coefficients as new watermarking are embedded into the corresponding singular values. Finally, the Iterative Hard Threshold (IHT) algorithm is used to reconstruct the watermarking image. The method proposed can not only enlarge the information capacity of watermarking embedment but also strengthen the security of watermarking in the condition of the good imperceptibility. The experiments show that the scheme is feasible and has good anti-attack ability for JPEG compression, Gaussian white noise, rotating and median filtering.

关键词： Watermarking Chaos Discrete cosine transforms Matrix decomposition signal processing algorithms Robustness Compressed sensing

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A Universal Sparse signal Reconstruction Algorithm via Backtracking and Belief Propagation

A Universal Sparse Signal Reconstruction Algorithm via Backt...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Fang Jiang Yanjun Hu Caiqing She Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei China

ISBN: (纸本)9781479970063

The belief propagation (BP) algorithm under the Bayesian framework can accelerate Compressed Sensing (CS) encoding and decoding by using the sparse encoder matrix. To improve the reconstruction performance we consider a backtracking-based belief propagation algorithm (CS-BBP) for the sparse signal reconstruction. The backtracking is added after performing BP and minimum mean square error (MMSE) estimate in every iteration. Simulation results show that the CS-BBP is a universal reconstruction algorithm which has a good performance for both 1-D Gaussian and 2-D image signal reconstructions.

关键词： Bayes methods Image reconstruction signal to noise ratio Belief propagation signal processing algorithms Compressed sensing signal reconstruction

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A database encryption scheme based on the generalized aryabhata remainder theorem

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Journal of Information Hiding and Multimedia signal processing 2014年第4期5卷 603-613页

作者： Liu, Yanjun Liu, Yanjun Chang, Chin-Chen Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230039 China Department of Computer Science and Information Engineering Asia University Taichung413 Taiwan No.26 Hexing Road Xiangfang District Harbin China Department of Information Engineering and Computer Science Feng Chia University Taichung407 Taiwan

Database security prevents the disclosure of confidential data within a database to unauthorized users, and has become an urgent challenge for a tremendous number of database applications. Data encryption is a widely-used cryptographic technique for realizing database security in which the data kept in the database are encrypted into ciphertext. Inspired by Lin et al.’s database encryption system, we propose a record-oriented database encryption scheme based on the Generalized Aryabhata Remainder Theorem (GART). Analysis showed that our proposed scheme is more efficient than Lin et al.’s scheme, while retaining the same security. ©2014.

关键词： Database systems

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Queue-based privacy-preserving data aggregation scheme for wireless sensor networks

Queue-based privacy-preserving data aggregation scheme for w...

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2014 International Conference on Communication Technology and Application, CTA 2014

作者： Zhu, X.Y. Wang, L. Department of Computer Science Hengyang Normal University China College of Information Engineering Xiangtan University China Key Laboratory of Intelligent Computing and Information Processing Xiangtan University Ministry of Education China

ISBN: (纸本)9781845649302

In this paper, we propose a novel queue-based privacy-preserving data aggregation scheme for additive aggregation function. In the scheme, sensor nodes are divided into clusters in a distributed way first, and then, in each cluster, cluster members will form a queue and adopt a new queue-based privacy-preserving scheme to send data for aggregation upon the cluster head’s request. We evaluate our scheme in terms of overheads, capacity of privacy-preservation, and data aggregation accuracy. The results show that our scheme is efficient and reasonable. © 2014 WIT Press.

关键词： Sensor nodes

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Evaluation of intelligibility of noisy whisper enhanced by compressive sensing 2

Evaluation of intelligibility of noisy whisper enhanced by c...

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2nd International Conference on Information Technology and Electronic Commerce, ICITEC 2014

作者： Wen, Junwu Chu, Zhuanzhuan Zhou, Jian School of Electrical Engineering and Automation Anhui University Hefei230601 China School of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing210003 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei230601 China

ISBN: (纸本)9781479952984

Noisy whisper contaminated by different types of noise are enhanced by compressive sensing method. The intelligibility performance of the enhanced whisper is measured using the short time objective index (STOI). To assess the effect of spectra density on compressive sensing, the real-valued discrete Gabor transform is used to transform the noisy whisper into the time-frequency domain. Experimental results show that, similar to conventional speech enhancement algorithm, the compressive sensing based speech enhancement method can not efficiently improve intelligibility of the whisper. © 2014 IEEE.

关键词： Compressed sensing

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