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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： You-Jing Lu Wan-Li Lyu School of Computer Science and Technology Anhui University Hefei China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

This paper proposes a novel reversible data-hiding scheme utilizing two steganographic images. The proposed method is able to hide more secret messages than other messages by studying the characters of embedded messages. We transformed the form of the secret message byte from 8 binary bits to 7-base digits, which was departed to 3-digit planes to allow for hiding more secret messages through use of an extensional key matrix M*. The horizontal and vertical coordinate of the key matrix M* ranges are from 0 to 255. Therefore, we use the pixel pairs in a cover image to help hide secret message bytes in the method proposed. In key matrix M*, a point can be located by a horizontal coordinate and a vertical coordinate, which are the exact paired pixels. After embedding data by using the coordinates in the key matrix and then obtaining two stego images, we can recover the cover image after extracting the embedded data. Experiments show that the method proposed can hide more pixels in an image and recover the image accurately with only a tiny decrease in image quality.

关键词： Image quality Visualization Histograms Mathematical model Data mining Matrix converters Computer science

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An improved entity similarity measurement method

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Telkomnika (Telecommunication computing Electronics and Control) 2014年第4期12卷 1017-1022页

作者： Lv, Gang Zheng, Cheng Chen, Sheng-Bing Key of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui China Key Laboratory of Network and Intelligent Information Processing Hefei University Hefei Anhui China

To facilitate the integration of learning resources categorized under different ontology representations, the techniques of ontology mapping can be applied. Though many algorithms and systems have been proposed for ontology mapping, they do not have an automatic weighting strategy on class features to automate the ontology mapping process. A novel method of computing the feature weights is proposed. By feature semantic analysis, the different entities similarity calculation model and weight calculation model were defined. The results show that it makes the ontology mapping process more automatic while retaining satisfying accuracy. Improve ontology mapping effectiveness.

关键词： Semantics

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Calculating Nonlocal Optical Properties of Metallic Nanowires with FDTD Method

Calculating Nonlocal Optical Properties of Metallic Nanowire...

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Asia-Pacific Microwave Conference

作者： Xiang Li Ming Fang Jie Xu Zhixiang Huang Tailong Xu Xianliang Wu Key Laboratory of Intelligent Computing and Signal Processing Anhui University

ISBN: (纸本)9781479987689

We present a FDTD method which can be used to calculate the optical properties of nanostructures with nonlocal effect. The effect can be described by a spatially nonlocal dielectric function with a Drude plus two Lorentz terms model. We compared the optical properties of isolated nanowires with different radii. According to the extinction spectra, we can determine in which length scale the nonlocal effects become remarkable and should be taken into consideration in real applications. At the same time, we verify the conclusions by the transmission of nanostructures. Our method and related results can be used as a tool and reference in the design of realistic sub-wavelength devices.

关键词： Decision support systems Finite difference methods Dielectrics Nanowires

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Application of high-order symplectic FDTD scheme to typical quantum devices

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Guangzi Xuebao/Acta Photonica Sinica 2015年第4期44卷 0419002-1-0419002-1-0419002-7页

作者： Wang, Li-Hua Huang, Zhi-Xiang Kuang, Xiao-Jing Wu, Xian-Liang Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei230039 China

Using symplectic integrators and staggered spatial differences to establish a new high-order Symplectic Finite-Difference Time-Domain scheme (SFDTD(4, 4)) for solving time-dependent Schrödinger equation. The fourth-order accuracy difference scheme for the second derivative of the space segment is to obtain the time evolution of the multi-dimensional system and then introducing the fourth order symplectic integrator for discrete;the numerical stability is obtained with SFDTD(4, 4) scheme, one-or multi-dimensional stability conditions for Schrödinger equation with nonzero potential energy are also derived;the perfect absorbing boundary condition of SFDTD(4, 4) scheme for quantum devices is achieved by the concept of stretching coordinate. The simulated results of a one-dimensional quantum well and metal MOSFET confirm the preference of the SFDTD(4, 4) scheme over the traditional finite-difference time-domain scheme. The SFDTD(4, 4) scheme, which is high-order-accurate and energy conserving, is well suited for long term *** results can be used as a necessary reference for the design of new quantum devices. ©, 2015, Chinese Optical Society. All right reserved.

关键词： Semiconductor quantum wells

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Speech intelligibility enhancement using convolutive non-negative matrix factorization with noise prior

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous Engineering 2014年第7期9卷 73-86页

作者： Zhou, Jian Fang, Xianyong Tao, Liang Zhao, Li Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University 230601 Hefei China Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University 210096 Nanjing China

We propose a convolutive non-negative matrix factorization method to improve the intelligibility of speech signal in the context of adverse noise environment. The noise bases are prior learned with Non-negative Matrix Factorization (NMF) algorithm. A modified convolutive NMF with sparse constraint is then derived to extract speech bases from noisy speech. The divergence function is selected as an objective function to get a multiplicative update of speech base and its corresponding weight. The weights of prior learned noise bases are also updated in the update rule. Listening experiments are conducted to assess the intelligibility performance of speech synthesized using the proposed algorithm. Experimental results indicate that the proposed method is very effective to improve the intelligibility of the noisy speech in various noise contexts and it outperforms conventional algorithms. © 2014 SERSC.

关键词： Non-negative matrix factorization

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Electrical detection of single particle in cylindrical solid-state nanopores

Electrical detection of single particle in cylindrical solid...

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IEEE Conference on Electron Devices and Solid-State Circuits

作者： Yu Zhang Jun Luo Yansong Liu Minquan Li Chao Zhao Chengjun Huang Key Laboratory of Intelligent Computing and Signal Processing Anhui University China Key Laboratory of Microelectronics Device and Integrated Technology Institute of Microelectronics of Chinese Academy of Science Beijing China

This paper presented a new technique for electrical detection of single nanoparticle in a cylindrical solid-state nanopore by measuring the blockage ionic current change. Both numerical and analytical models were developed to simulate and optimize the electrical responses of the device when a single particle was passing through the nanopore. The effects of different nanopore geometries on nanoparticle detection performance were discussed, which could provide guidelines for the device fabrications and nanoparticle detection applications.

关键词： Conferences Electron devices Solid state circuits

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Decision-making strategies for multi-objective community detection in complex networks

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 472卷 621-628页

作者： Zhang, Yu Zhang, Xingyi Tang, Jin Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230039 China

ISBN: (纸本)9783662450482

Multi-objective optimization algorithms have demonstrated their effectiveness and efficiency in detecting community structure in complex networks, by which a set of trade-off partitions of networks are obtained instead of a single partition. The large number of partitions lead to a challenging problem for decision makers: how to obtain an ideal partition from the set of trade-off partitions of networks. In this paper, we present two decision-making strategies for obtaining the ideal partition, one is based on the knee points and the other is based on the majority voting. Experimental results on random networks and real-world networks illustrate that the presented two strategies are very competitive for obtaining an ideal partition of networks. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Complex networks

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Energy efficient feedback design for coordinated multi-point transmission in downlink

International Journal of Signal Processing, Image Processing...

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International Journal of signal processing, Image processing and Pattern Recognition 2015年第6期8卷 155-166页

作者： Wang, Yi Hu, Yanjun Zhou, Yiqing Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China School of Electronic Science and Technology Anhui University Hefei China Institute of Computing Technology Chinese Academy of Sciences Beijing China

Coordinated multi-point (CoMP) has been raised to increase the average cell throughput and the cell-edge user throughput. However, the energy consumption of mobile stations (MSs) is a key problem restricting the wide application of CoMP systems. Considering the energy consumption of feeding back channel state information (CSI) by MSs and the influence of CSI accuracy on the throughput of system, it is proposed to measure the relationship between feedback energy consumption and throughput with energy efficiency feedback utility (EEFU) function which can adapt to different application scenes by adjusting utilization coefficient. The feedback utilization of two precoders in CoMP systems is analyzed respectively, including the optimization allocation of feedback bits with utility function. The complete EEFU optimized expression and the optimizing flow path satisfying the actual application demands of CoMP systems are then derived. The simulation results illustrate the practicability and necessity of the EEFU function and verify the performance of EEFU with different precoders. © 2015 SERSC.

关键词： Energy efficiency

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Improved Anti-Occlusion Target Tracking Algorithm Based on Compressive Particle Filtering

Improved Anti-Occlusion Target Tracking Algorithm Based on C...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Yaohua Xu Xiaoli Jiang Fengrong Li Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Key Laboratory of Wireless Sensor Network & Communication Chinese Academy of Sciences Shanghai China

ISBN: (纸本)9781467395885

In order to resolves the problem of occlusion in process of target tracking, an improved anti-occlusion tracking algorithm was proposed in this paper based on compressive particle filtering (CPF). Compressive sensing theory was introduced into particle filter (PF) framework to ensure the instantaneity of tracking. We apply the histogram with spatial information and sub-part matching ideas in the compressive particle filtering algorithm to enhance the robustness of tracking when the target was blocked by barriers. In this approach, we adopt different strategies to tracking target when the target was occluded or not. When the target was occluded, tracking it by compressive particle filtering algorithm based on sub-part matching and updating the target templates to fits the change of target appearance, otherwise, tracking it by the general compressive particle filtering algorithm. This approach bring about better robustness and tracking speed compared with the particle filtering algorithm and compressive tracking algorithm.

关键词： Target tracking Filtering Histograms Color signal processing algorithms Compressed sensing Robustness

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An improved precoding of Approximative Matrix Inverse Computations based on norm minimization algorithm in massive MIMO system

An improved precoding of Approximative Matrix Inverse Comput...

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IEEE International Conference on Progress in Informatics and computing (PIC)

作者： Hongliu Tu Yanjun Hu Yaohua Xu Fengrong Li Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Key Laboratory of Wireless Sensor Network & Communication Chinese Academy of Sciences Shanghai China

In massive multiple-input multiple-output (MIMO) system, scaling up the antennas of base station (BS) has a clear benefit on sum rate and energy efficiency, but the signal processing complexity can be very high and many algorithms cannot be implemented in practice for high hardware cost. Approximative Matrix Inverse Computations (AMIC) algorithm is a kind of low-complexity precoding for large multiuser MIMO systems, but the Bite Error Rate (BER) performance is shown to be not better than the classical MMSE precoding. To improve the BER performance of AMIC algorithm, in this paper, we use norm minimization algorithm to change the coefficient of the precoding matrix to improve the BER performance of AMIC algorithm. It can verify that the proposed algorithm can achieve better BER performance than the AMIC algorithm by using only a limited number of Neumann series iterations, and keep lower complexity. The proposed scheme is a compromise solution between complexity and BER performance.

关键词： Approximation algorithms Antennas Bit error rate Precoding signal to noise ratio

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