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2015 5th International Conference on computer Sciences and Automation Engineering(ICCSAE 2015)

作者： Liuzheng Lu Runze Wan Jinrong He School of Computer Hubei University of Education Co-Innovation Centre of Elementary Education Information Technology Services of Hubei Science Computing and Intelligent Information Processing of Guangxi Higher Education Key Laboratory Guangxi Teachers Education University

As one of typical paravirtualization hypervisors, Xen has received widespread attentions especially its scaling capability under some kinds of workload. In this paper, we focus on the problem that the most CPU resources are occupied by frequent interrupt from the NIC（Network Interface Card） and it will cause bottleneck of the system for Xen. To alleviate this problem, this paper proposes an adaptive interrupt latency scheduling mechanism based on XEN, which use the polling or interrupt method in accordance with the queue length of virtual buffer without supplementing any additional processing unit. Also, the method can guarantee different quality of service to some extent by means of the definition of the two types of priority virtual buffers. Simulation results show that the mechanism can reduce CPU overhead significantly and improve system performance effectively.

关键词： virtualization interrupt latency virtual buffer

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Fixed-point simulation technology for SAR real-time imaging system

Fixed-point simulation technology for SAR real-time imaging ...

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IET International Radar Conference 2015

作者： Xin Zhou Yi-zhuang Xie Chen Yang Qing Du Yi Deng Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Arlington VA USA

ISBN: (纸本)9781510822023

In this paper, a fast fixed-point simulation technology is proposed for a multi-channel synthetic aperture radar (SAR) imaging system. The overall computations in the SAR imaging algorithm is explicitly analysed. FFT operations account for most memory consumption in the imaging flow. Accordingly, a fixed-point FFT algorithm is adopted due to the trade-off between precision and memory occupation of the FPGA implementation. Furthermore, this paper describes an optimized word-length configuration method based on theoretical analysis of architecture of Radix-22 FFT. This methodology is verified in a SystemC development environment due to its superiority of fast and bit-accurate system-level simulation capability. Finally, the proposed SystemC based fixed-point imaging algorithm and the Matlab based floating-point imaging algorithm are both conducted to process point array target raw data. Peak side-lobe ratio (PSLR) and integrated side-lobe ratio (ISLR) is evaluated. Experimental results indicate that profiles in the two cases do not differ greatly, which validates that the proposed fixedpoint algorithm with less resources occupation has comparable accuracy and can meet system requirements.

关键词： SAR SystemC fixed-point arithmetic real-time imaging system-level simulation

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Hybrid color image steganography method used for copyright protection and content authentication

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Journal of information Hiding and Multimedia Signal processing 2015年第4期6卷 686-696页

作者： Lyu, Wan-Li Chang, Chin-Chen Chou, Yeh-Chieh Lin, Chia-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 Information Engineering and Computer Science Feng Chia University 100 Wenhwa Rd Seatwen Taichung40724 Taiwan Department of Computer Science and Information Management Providence University Taichung43301 Taiwan

In this paper, we proposed a hybrid image data hiding method used for watermarking applications in order to make sure the hidden dual watermarks survive after the image manipulation and enhancement processes. To achieve this goal, the proposed method is divided into two phases. In the first phase, the YCbCr color space is exploited, and, then, LSB techniques are used to embed the first level watermark bits in the YCbCr channel. In the second phase, the modification direction method is used to embed the second level watermark bits in the RGB channel. The experimental results confirmed that the proposed method resists most geometric attacks more effectively than Lusson et al.'s method. Therefore, the method is suitable for protecting the ownership of images and integrity of the potential tampered images. © 2015 ISSN.

关键词： Steganography

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MOEA/D with adaptive IWO for synthesizing phase-only reconfigurable linear arrays

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Open Chemical Engineering Journal 2015年第1期9卷 125-133页

作者： Tan, Yanyan Li, Shengtao Fang, Xiaonan School of Information Science and Engineering Shandong Normal University Jinan250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Shandong Normal University Jinan250014 China

In order to well solve the phase-only reconfigurable arrays synthesis problems, we introduce an adaptive strategy in invasive weed optimization (IWO), and integrate the adaptive IWO (AIWO) into the framework of MOEA/D, a popular multi-objective algorithm. Then, a new version of MOEA/D with adaptive IWO, named MOEA/D-AIWO is proposed in this paper for solving the synthesis problems. In MOEA/D-AIWO, the proposed adaptive strategy is adopted for improving search ability and balancing diversity and convergence. We introduce an adaptive standard deviation, which changes not only with the increase of evolution generations, but also exponentially with the fitness function value of each individual. This strategy improves the convergence rate and helps the seeds escape from local optimum. Taking advantage of the powerful searching ability of invasive weeds and well framework of MOEA/D, the overall performance of the proposed MOEA/D-AIWO is illustrated in solving two sets of phase-only reconfigurable arrays synthesis problems. Comparing results with MOEA/D-IWO (MOEA/D with original IWO) and MOEA/D-DE are also provided in this paper. © Tan et al.

关键词： Invasive weed optimization

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Image quality assessment based on region of interest

Image quality assessment based on region of interest

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2nd International Conference on Mechatronics and Industrial Informatics, ICMII 2014

作者： Wang, Yue Lin, Zeng Gang Liao, Zi Cheng Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University China

ISBN: (纸本)9783038351764

In this paper a new No-Reference (NR) image quality assessment (IQA) method based on the point wise statistics of local normalized luminance signals using region of interest (ROI) processing is proposed. This algorithm firstly extracts the ROI which is relative to human subjectivity by using the image gradient and phase congruency, and then extracts the image quality feature in spatial domain. Particularly, most of the present IQA methods mainly focus on predicting the image quality with respect to human perception, yet, in some other image domains, the final receiver of a digital image may not a human. Thus, we propose a method which can assess the image quality relative to edge detection algorithm. In addition, experimental results on LIVE database are provided to justify the superior compared to the significant image quality metrics. © (2014) Trans Tech Publications, Switzerland.

关键词： Image quality

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A feature selection algorithm based on Hoeffding inequality and mutual information

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, Image processing and Pattern Recognition 2015年第11期8卷 433-444页

作者： Yin, Chunyong Feng, Lu Ma, Luyu Yin, Zhichao Wang, Jin School of Computer and Software Jiangsu Key Laboratory of Meteorological Observation and Information Processing Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China Nanjing No.1 Middle School Nanjing China

With the rapid development of the Internet, the application of data mining in the Internet is becoming more and more extensive. However, the data source’s complex feature redundancy leads that data mining process becomes very inefficient and complex. So feature selection research is essential to make data mining more efficient and simple. In this paper, we propose a new way to measure the correlation degree of internal features of dataset which is a mutation of mutual information. Additionally we also introduce Hoeffding inequality as constraint of constructing algorithm. During the experiments, we use C4.5 classification algorithm as test algorithm and compare HSF with BIF(feature selection algorithm based on mutual information). Experiments results show that HSF performances better than BIF[1] in TP and FP rate, what’s more the feature subset obtained by HSF can significantly improve the TP, FP and memory usage of C4.5 classification algorithm. © 2015 SERSC.

关键词： Feature Selection

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A multi-dimensional perception of adaptive routing algorithm based OLSR

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Journal of information and Computational Science 2015年第8期12卷 3165-3172页

作者： Zhang, Hong Shen, Yuncheng Li, Zhongwen Hu, Jun Key Laboratory of Pattern Recognition and Intelligent Information Processing Chengdu China College of Information Science and Technology Chengdu University Chengdu China College of Computer Science Sichuan University Chengdu China College of Information Science and Technology Zhaotong University Zhaotong China School of Traffic and Transportation Beijing Jiaotong University Beijing China Faculty of Computer Science Chengdu Normal University Chengdu China

Center nodes have a bigger load and burden with lots of routing in an Ad Hoc Network Model. Congestion of the nodes' packets has a great impact on network performance, especially in wireless networks. This paper proposes a multi-dimensional perception of adaptive routing algorithms based on the loading of MAC, in particular its utility. Through calculating the probabilities of packet arrival, distribution and intensity of interference, conicting nodes and adjusting the contracting strength of packets would optimize network performance. Our simulated experiments show that this algorithm improves the success rate of data transmission, reduces the delay of packet transmission and improves network throughputs. Copyright © 2015 Binary information Press.

关键词： Network performance

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A new network traffic prediction algorithm based on discrete queue

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Journal of Computational information Systems 2015年第12期11卷 4255-4261页

作者： Zhang, Hong Hu, Jun Shen, Yuncheng Key Laboratory of Pattern Recognition and Intelligent Information Processing Chengdu China College of Information Science and Technology Chengdu University Chengdu China College of Computer Science Sichuan University Chengdu China School of Traffic and Transportation Beijing Jiaotong University Beijing China Faculty of Computer Science Chengdu Normal University Chengdu China College of Information Science and Technology Zhaotong University Zhaotong China

In order to verify the network traffic decline because by node breakdown, this paper proposes a new type of prediction algorithm (Prediction algorithm based on Discrete-Queue for FARIMA model, PDF). At first, the mathematic formula for queuing situation and average queue length in steady state is derived with queuing theory in this algorithm based on discrete time, and the prediction method is established by FARIMA Model. Then, a simulation was conducted to research on the relationships between average queue length and service rate. The result shows that it has good adaptability, and the standard deviation between prediction traffic and original traffic is 10.18. ©, 2015, Binary information Press. All right reserved.

关键词： Forecasting

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A Naive Bayesian Network Intrusion Detection Algorithm Based on Principal Component Analysis

A Naive Bayesian Network Intrusion Detection Algorithm Based...

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IEEE International Symposium on information (IT) in Medicine and Education, ITME

作者： Xiaoyan Han Liancheng Xu Min Ren Weiping Gu School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology School of Mathematics and Quantitative Economics Shandong University of Finance and Economics Jinan China

Traditional Naive Bayesian classification model does not consider the feature redundancy in intrusion forensics and neglects the difference between data attributes in different intrusion actions. This paper proposed a Naive Bayesian network intrusion detection algorithm based on the principal component analysis, it calculate the characteristic value of the original network attack data, then extract the main properties through the principal component analysis. Take the main properties as the new attribute set and the corresponding principal component contribution rate as weights to improve traditional Naive Bayesian classification algorithm. The experimental results showed that the algorithm can effectively reduce the data dimension and improve the efficiency of detection.

关键词： Bayes methods Principal component analysis Intrusion detection Algorithm design and analysis Feature extraction Data mining

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Reduced Out-of-Band Radiation-Based Filter Optimization for UFMC Systems in 5G

Reduced Out-of-Band Radiation-Based Filter Optimization for ...

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International Wireless Communications and Mobile Computing Conference

作者： Mithun Mukherjee Lei Shu Vikas Kumar Prashant Kumar Rakesh Matam Guangdong Provincial Key Laboratory of Petrochemical Equipment Fault Diagnosis Guangdong University of Petrochemical Technology Bharat Sanchar Nigam Limited Department of Electronics and Communication Engineering Birla Institute of Technology Department of Computer Science Engineering Indian Institute of Information Technology

ISBN: (纸本)9781479953455

Universal-filtered multi-carrier (UFMC) technique is considered as a potential candidate for future communication systems due to its robustness against inter-carrier interference (ICI), suitability for non-contiguous fragmented available spectrum resources and low latency scenario in 5G network. In this paper, we present a novel pulse shaping approach in UFMC to reduce the spectral leakage into nearby subbands used for same or other users with low complexity and high throughput. In the new scheme, we apply Bohman filter-based pulse shaping with combination of antipodal symbol-pairs to the edge-subcarriers of the subbands, and consequently reduce the out-of-band radiation. This scheme outperforms the current state-of-the art and offers better signal-to-interference ratio (SIR) to improve the robustness against carrier frequency offset (CFO) for energy saving in loosely synchronized scenario. We further validate the proposed scheme on field programmable gate array (FPGA) hardware prototype.

关键词： UFMC FBMC Spectrum leakage Antipodal Bohman window FPGA prototype

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