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11th International Conference on intelligent computing, ICIC 2015

作者： Zhang, Di Wang, Qingbao Zhu, RongRong Li, Hai-Tao Zheng, Chun-Hou Xia, Junfeng Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Institute of Health Sciences School of Computer Science and Technology Anhui University Hefei Anhui230039 China Clinical Laboratory Center The First Affiliated Hospital Anhui University of Traditional Chinese Medicine Hefei Anhui230012 China College of Electrical Engineering and Automation Anhui University Hefei Anhui230601 China

ISBN: (纸本)9783319221854

Ovarian cancer (OVC) is one of the deadliest cancers in women. At present, effective clinical therapy for OVC is still limited. We adopted a computational method to identify OVC candidate genes based on subnetwork extraction algorithm in the protein interaction network. Of the final identified five genes, MSH3 and PIK3R3 genes have been reported to be implicated in OVC tumorigenesis, indicating that the method is effective, whereas the other three genes (MAPK8IP1, PICK1, and IQGAP3) might have potential roles in OVC development. The results provided a novel insight into identifying the OVC-related genes and exploring new methods for OVC therapy. © Springer International Publishing Switzerland 2015.

关键词： Proteins

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A logarithmic backoff algorithm based on dynamic contention window adjustment for IEEE 802.11 DCF

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Journal of Computational Information Systems 2014年第17期10卷 7609-7617页

作者： Xu, Lei Wang, Li Xun, Huili H., Zhang X., Li Key Lab. of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

IEEE 802.11 is a protocol standard widely used in wireless local area network (WLAN). For the distributed coordination function (DCF) of IEEE 802.11 MAC layer, the binary exponential backoff (BEB) algorithm has the defect of poor access fairness. To address this issue, the design criteria of backoff algorithm is generalized from the analysis of the key performance parameters of DCF, and then a logarithmic backoff (LB) algorithm based on dynamic contention window (CW) adjustment is proposed. The algorithm dynamically adjusts the initial value of CW and the backoff size of the CW by using the logarithmic function that takes the number of network competing nodes as the variable. Simulation results show that compared with the BEB algorithm, the LB algorithm can effectively improve the fairness performance and the throughput performance, and also reduce network delay.

关键词： IEEE Standards

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A multi-sensor data fusion algorithm based on adaptive weight for wireless sensor networks

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Journal of Computational Information Systems 2015年第3期11卷 1121-1131页

作者： Li, Mengyao Pei, Tingrui Zhu, Jiang College of Information Engineering Xiangtan University Xiangtan China Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan China

Aiming to accomplish the task of multiple sensor fusion on measurement accuracy for wireless sensor networks, a novel algorithm based on adaptive weight is put forward in this paper. New spatial relative distances and correlation coefficients are defined to obtain valid observation data. Then, a novel consistent matrix is obtained by removing the data containing errors. Finally, a trust degree calculation is used to assign the weight of the valid observation data in the fusion process, as well as increasing the weight of the valid data. This method can make good use of spatial mapping and limit the influence of noise on the fusion stage. Simulation results from this new algorithm demonstrate better performance and higher reliability compared to the other three existing algorithms. ©, 2015, Binary Information Press. All right reserved.

关键词： Wireless sensor networks

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Design of observer-based discrete repetitive-control system based on 2D model

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Journal of Central South University 2014年第11期21卷 4236-4243页

作者：王昭鸿易灵芝兰永红陈才学 Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education (College of Information Engineering Xiangtan University)

A discrete observer-based repetitive control(RC) design method for a linear system with uncertainties was presented based on two-dimensional(2D) system theory. Firstly, a 2D discrete model was established to describe both the control behavior within a repetition period and the learning process taking place between periods. Next, by converting the designing problem of repetitive controller into one of the feedback gains of reconstructed variables, the stable condition was obtained through linear matrix inequality(LMI) and also the gain coefficient of repetitive system. Numerical simulation shows an exceptional feasibility of this proposal with remarkable robustness and tracking speed.

关键词： state observer two-dimensional discrete system repetitive control linear matrix inequality

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Whole genome/proteome based phylogeny reconstruction for prokaryotes using higher order Markov model and chaos game representation

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Molecular phylogenetics and evolution 2016年 96卷 102-111页

作者： Wei-Feng Yang Zu-Guo Yu Vo Anh Hunan Key Laboratory for Computation and Simulation in Science and Engineering and Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Hunan 411105 PR China Department of Mathematics and Physics Hunan Institute of Engineering Hunan 411104 PR China. Electronic address: yangweifeng09@***. School of Mathematical Sciences Queensland University of Technology GPO Box 2434 Brisbane QLD 4001 Australia. Electronic address: yuzuguo@***. School of Mathematical Sciences Queensland University of Technology GPO Box 2434 Brisbane QLD 4001 Australia. Electronic address: v.anh@qut.edu.au.

UNLABELLED:Traditional methods for sequence comparison and phylogeny reconstruction rely on pair wise and multiple sequence alignments. But alignment could not be directly applied to whole genome/proteome comparison and phylogenomic studies due to their high computational complexity. Hence alignment-free methods became popular in recent years. Here we propose a fast alignment-free method for whole genome/proteome comparison and phylogeny reconstruction using higher order Markov model and chaos game representation. In the present method, we use the transition matrices of higher order Markov models to characterize amino acid or DNA sequences for their comparison. The order of the Markov model is uniquely identified by maximizing the average Shannon entropy of conditional probability distributions. Using one-dimensional chaos game representation and linked list, this method can reduce large memory and time consumption which is due to the large-scale conditional probability distributions. To illustrate the effectiveness of our method, we employ it for fast phylogeny reconstruction based on genome/proteome sequences of two species data sets used in previous published papers. Our results demonstrate that the present method is useful and efficient. AVAILABILITY AND IMPLEMENTATION:The source codes for our algorithm to get the distance matrix and genome/proteome sequences can be downloaded from ftp://121.199.20.25/. The software Phylip and EvolView we used to construct phylogenetic trees can be referred from their websites.

关键词： Alignment-free whole proteome comparison Chaos game representation Higher order Markov model Phylogenetic tree Shannon entropy

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A novel permutation algorithm in frequency-domain Blind Source Separation

A novel permutation algorithm in frequency-domain Blind Sour...

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International Conference on Information, Communications and signal processing

作者： Zhao Lv Xiaopei Wu Bangyan Zhou Chao Zhang Key Laboratory of Intelligent Computing & Signal Processing Co-Innovation Center for Information Supply & Assurance Technology Anhui University Hefei China

ISBN: (纸本)9781467372190

This paper presents a novel permutation algorithm for solving the permutation ambiguity of frequency-domain BSS(Blind Source Separation). The proposed algorithm harnesses the characteristics that signals at adjacent frequency bins have a high similarity and utilizes Dynamic Time Warping (DTW) to compare this similarity in order to obtain an adjusting matrix at adjacent frequency bin. In real experimental environment, ASSNR(Average Segmental SNR) was utilized to evaluate the separation quality and the proposed method is found to improve the separation over the traditional criterions.

关键词： Heuristic algorithms Prediction algorithms Speech Time series analysis signal processing algorithms Time-frequency analysis

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A full-rate cooperative relay transmission scheme with randomized cyclic delay diversity

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Journal of Computational Information Systems 2014年第1期10卷 275-284页

作者： Xu, Lei Bao, Menglin Jiang, Ran Zhang, Hongwei Li, Xiaohui Key Lab. of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

Randomized cyclic delay diversity (RCDD) is an effective means to capture both the space diversity and the frequency diversity with low complexity detection over frequency-selective fading channels. Since many existing full-rate cooperative relay transmission schemes have the disadvantages of low spectrum efficiency and high complexity detection, a practical and low complexity detection full-rate distributed cooperative relay transmission scheme is proposed in this paper by taking advantages of the randomized cyclic delay diversity method and the linear constellation precoding (LCP) technology. The bit error rate (BER) performance of the proposed scheme is superior to that of the system with fixed cyclic delay diversity (FCDD) when the number of subcarriers is sufficiently large. Moreover, the system diversity gain improves with the multipath number of the frequency-selective fading channel and the relay number increases. Copyright © 2014 Binary Information Press.

关键词： Cooperative communication

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On the encoding complexity of systematic polar codes

On the encoding complexity of systematic polar codes

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IEEE International SOC Conference

作者： Liping Li Wenyi Zhang Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education of China Anhui University China Chinese Academy of Sciences and Department of Electronic Engineering and Information Sciences University of Science and Technology of China

Systematic polar codes are proposed by Arikan and are shown to have better BER performance than non-systematic polar codes. From a recursive decomposition of the generator matrix of polar codes, Arikan showed that the encoding complexity of systematic polar codes is also O(N log N) where N is the code block length. But the recursive process involves some additional calculations in transforming the problem instances back and forth. In this paper, by using the sparsity property of the generator matrix, we propose an encoding process which has the same complexity as non-systematic polar codes in the presence of an additional memory array. Without the additional memory elements, the number of additions of the proposed encoding process increases compared with non-systematic polar codes. We also provide an analysis to quantify this additional increase of the complexity.

关键词： Encoding Systematics Complexity theory Decoding Generators Bit error rate Electronic mail

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A saliency detection method based on global contrast

International Journal of Signal Processing, Image Processing...

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International Journal of signal processing, Image processing and Pattern Recognition 2015年第7期8卷 111-122页

作者： Yu, Chun-Yan Zhang, Wei-Shi Wang, Chun-Li Institute of Information and Science Technology Dalian Maritime University China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University No.3 Feixi Road Hefei China

To highlight the saliency object clearly from the foreground, we propose a saliency detection method based on global contrast with cluster. Due to the fact that background pixels usually have similar patches, we use cluster analysis to merge the background regions. By using mean shift filter, the background pixels with similar color level are clustered and the saliency calculation can be decreased a lot. In the method, we use the contrast of color feature with all the other pixels to compute the saliency map. A weight coefficient is utilized to improve the detection accuracy in global contrast differences evaluation. The results of extensive experiments on public dataset show that our method perform well and can highlight the salient object clearly against the other five state-of-the-art methods. Besides, we demonstrate that the applications in image segmentation and fusion with our saliency map can get satisfactory results. © 2015 SERSC.

关键词： Image segmentation

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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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