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Multistage Synchronous Secure Communication Method 1

Multistage Synchronous Secure Communication Method

引用

1st International Conference on Advanced Algorithms and Control Engineering, ICAACE 2018

作者： Sun, Wei He, Jun Quan, Lei Science and Technology on Complex Electronic System Simulation Labratory University of Aerospace Engineering Beijing101416 China Naval Academy of Armament China Based on Time-delayed Hyperchaotic System Beijing100161 China

To solve the security of data transmission in network, a secure communication method based on time-delayed hyperchaotic synchronization is presented. By selecting the typical hyperchaotic system, the communication system synchronization scheme is designed to realize the recovery of the encrypted signal, and the security performance of the method is analyzed by simulation. The simulation results show that the synchronization method has the characteristics of high security and is easy to implement. © Published under licence by IOP Publishing Ltd.

关键词： Secure communication

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Priority-Based Optimization of I/O Isolation for Hybrid Deployed Services 15th

Priority-Based Optimization of I/O Isolation for Hybrid Depl...

引用

15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2019

作者： Zhang, Jiancheng Li, Youhuizi Zhou, Li Ren, Zujie Wan, Jian Wang, Yuan Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Hangzhou Dianzi University Hangzhou China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Zhejiang Lab Hangzhou China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou China Key Enterprise Research Institute of NetEase Big Data of Zhejiang Province Netease Hangzhou Network Co.Ltd Hangzhou China

ISBN: (纸本)9783030301453

With the increasing of software complexity and user demands, collaborative service is becoming more and more popular. Each service focuses on its own specialty, their cooperation can support complicated task with high efficiency. To improve the resources utilization, virtualization technology like container is used and it enables multiple services running in the same physical machine. However, since the host physical machine is shared by several services, the resource competition is inevitable. Isolation is an effective solution, but the weak isolation mechanisms of container cannot handle such complicated scenarios. In the worst situation, the performance of services cannot meet the requirements and the system may crash. In order to solve this problem, we propose a priority-based optimization mechanism for I/O isolation after analyzing the characteristics of typical service workloads. Based on the real-time performance data, priority is automatically assigned to each service and corresponding optimization methods are applied. We evaluate the optimization effects of the priority-based mechanism in both static and dynamic workload cases, besides, the influence of different priority order is also analyzed. The experimental results show that our approach can indeed improve the system performance and guarantee the requirements of all the running services are satisfied. © 2019, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Containers

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Power Characterization of Memory Intensive Applications: Analysis and Implications 1st

Power Characterization of Memory Intensive Applications: Ana...

引用

1st International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018

作者： Qiu, Yeliang Jiang, Congfeng Fan, Tiantian Wang, Yumei Zhang, Liangbin Wan, Jian Shi, Weisong Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Hangzhou Dianzi University Hangzhou310037 China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310037 China College of Big Data and Software Engineering Zhejiang Wanli University Ningbo China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou310023 China Department of Computer Science Wayne State University DetroitMI48202 United States

ISBN: (纸本)9783030328122

DRAM is a significant source of server power consumption especially when the server runs memory intensive applications. Current power aware scheduling assumes that DRAM is as energy proportional as other components. However, the non-energy proportionality of DRAM significantly affects the power and energy consumption of the whole server system when running memory intensive applications. Thus good knowledge of server power characterization under memory intensive workloads can help better workload placement with power reduction. In this paper, we investigate the power characteristics of memory intensive applications on real rack servers of different generations. Through comprehensive analysis we find that (1) Server power consumption changes with workload intensity and concurrent execution threads. However, fully utilized memory systems are not the most energy efficient. (2) Powered memory modules of installed memory capacity, i.e. the memory capacity per processor core has significant impact on the application’s performance and server power consumption even if the memory system is not fully utilized. (3) Memory utilization is not always a good indicator for server power consumption when it is running memory intensive applications. Our experiments show that hardware configuration, workload types, as well as concurrently running threads have significant impact on a server’s energy efficiency when running memory intensive applications. Our findings presented in this paper provide useful insights and guidance to system designers, as well as data center operators for energy efficiency aware job scheduling and power reductions. © 2019, Springer Nature Switzerland AG.

关键词： Energy efficiency

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Scalability Evaluation of Big Data Processing Services in Clouds 1st

Scalability Evaluation of Big Data Processing Services in Cl...

引用

1st International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018

作者： Zhou, Xin Jiang, Congfeng Qiu, Yeliang Fan, Tiantian Wang, Yumei Zhang, Liangbin Wan, Jian Shi, Weisong Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Hangzhou Dianzi University Hangzhou310037 China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310037 China College of Big Data and Software Engineering Zhejiang Wanli University Ningbo China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou310023 China Department of Computer Science Wayne State University DetroitMI48202 United States

ISBN: (纸本)9783030328122

Currently, many cloud providers deploy their big data processing systems as cloud services, which helps users conveniently manage and process their data in clouds. Among different service providers’ big data processing services, how to evaluate and compare their scalability is an interesting and challenging work. Most traditional benchmark tools focus on performance evaluation of big data processing systems, such as aggregated throughput and IOPS, but fail to conduct a quantitative analysis of their scalability. In this paper, we propose a measurement methodology to quantify the scalability of big data processing services, which makes the cloud services scalability comparable. We conduct a group of comparative experiments on AliCloud E-MapReduce and Baidu MRS, and collect their respective scalability characteristics under Hadoop and Spark workloads. The scalability characteristics observed in our work could help cloud users choose the best cloud service platform to set up an optimized big data processing system to achieve their specific goals more successfully. © 2019, Springer Nature Switzerland AG.

关键词： Big data

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Radar Signal Recognition Based on Squeeze-and-Excitation Networks

Radar Signal Recognition Based on Squeeze-and-Excitation Net...

引用

Signal, Information and Data Processing (ICSIDP), IEEE International Conference on

作者： Qizhe Qu Shunjun Wei Hao Su Mou Wang Jun Shi Xiaojun Hao University of Electronic Science and Technology of China Chengdu China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System(CEMEE) Luoyang China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Classification and recognition of radar signals is an important part of modern warfare. Traditional radar signal recognition method based on the pulse description word may be not suitable for the complex electromagnetic environment. In this paper, a novel radar signal recognition method based on Squeeze-and-Excitation networks is proposed. Firstly, time-domain, frequency-domain and time-frequency-domain features of five kinds of radar signals are transformed into images. Then the images are classified by convolutional neural networks and output the result of each domain. Finally, the results of the three domains are combined to obtain the correct identification results. And the recognition effects of three different modules are compared. The experiments prove the efficiency of our method, especially on different SNR condition and center frequency. And confusion matrixes demonstrate that under the low SNR condition, our method still has a good recognition effect and are better than traditional radar signal recognition method based on PDW.

关键词： signal recognition time-frequency domain features convolutional neural networks

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Polarization Monopulse Forward-Looking Imaging Algorithm Based on BADS Optimization

Polarization Monopulse Forward-Looking Imaging Algorithm Bas...

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Signal, Information and Data Processing (ICSIDP), IEEE International Conference on

作者： Bo Pang Tao Zhou Dahai Dai Hao Wu Shiqi Xing Xuesong Wang State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China College of Electronic Science National University of Defense Technology Changsha China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

In this paper, a novel polarization monopulse forward-looking imaging algorithm is proposed, the core idea is solving the maximum likelihood estimation (MLE) problem by bayesian adaptive direct search (BADS) optimization. The simulation results show that unresolved targets can be resolved and relocated accurately in the real beam imaging result and the imaging performance is greatly improved. The comparison with gradient descent also validates its superiority in terms of accuracy and robustness of direction of arrival (DOA) and polarization parameters estimation. Meanwhile, the proposed algorithm can accurately identify three targets within a beam, including a dihedral and two trihedral targets.

关键词： forward-looking imaging polarization estimation monopulse maximum likelihood estimation bayesian adaptive direct search (BADS)

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A Novel Sparse Deconvolution Algorithm Based on Iterative Regularization

A Novel Sparse Deconvolution Algorithm Based on Iterative Re...

引用

Progress in Electromagnetic Research Symposium (PIERS)

作者： Bo Pang Shiqi Xing Dahai Dai Yongzhen Li Xuesong Wang State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China College of Electronic Science National University of Defense Technology Changsha China

ISBN: (数字)9781728134031

ISBN: (纸本)9781728134048

As having the imaging ability of the sector in front of the flight direction, forward-looking SAR has filled the visualization gap of conventional SAR. However, due to changes in imaging geometry, the azimuth resolution of forward-looking SAR is constrained by the limited azimuth aperture. Aiming at this problem a novel sparse deconvolution algorithm based on iterative regularization is proposed in this paper. By separating imaging process into range compression based on matched filter and azimuth deconvolution based on compressive sensing, the computational burden is much reduced and azimuth resolution is greatly improved. Experimental results based on simulated and real data demonstrate the effectiveness of the proposed algorithm.

关键词： Radar imaging Azimuth Imaging Image resolution Radar antennas Synthetic aperture radar

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A Novel Parameter Estimation Method for MIMO-SAR Signal

A Novel Parameter Estimation Method for MIMO-SAR Signal

引用

Progress in Electromagnetic Research Symposium (PIERS)

作者： Dongwei Lu Shiqi Xing Bo Pang Dahai Dai Xuesong Wang State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China College of Electronic Science National University of Defense Technology Changsha China

ISBN: (数字)9781728134031

ISBN: (纸本)9781728134048

As having the ability of transmitting and receiving electromagnetic signals with different polarizations from distinct view angles, MIMO-SAR could provide high-resolution images in a complex electromagnetic environment and allows overcoming the limitations of conventional SAR system. As a result, the confrontation of MIMO-SAR signal has become a hot research topic recently. In this paper, a novel MIMO-SAR signal parameter estimation method is presented. By utilizing autocorrelation spectrum of signal, the proposed method could accurately estimate parameters of MIMO-SAR signal even if the SNR is low. Numerical simulations exhibit robustness and effectiveness of our methods for wide band signal.

关键词： Estimation Parameter estimation Frequency-domain analysis Chirp Mathematical model Springs Correlation

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Sources of atmospheric glyoxal and methylglyoxal in Beijing and its impact on wintertime secondary organic aerosol formation

Sources of atmospheric glyoxal and methylglyoxal in Beijing ...

引用

第二十四届大气污染防治技术研讨会

作者： Xionghui Qiu Shuxiao Wang Qi Ying Lei Duan Jia Xing Jingyuan Cao Di Wu Xiaoxiao Li Chengzhi Xing Xiao Yan Cheng Liu Jiming Hao MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and Engineering North China Electric Power University State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Zachry Department of Civil Engineering Texas A&M University College Station School of Earth and Space Sciences University of Science and Technology of China National Engineering Research Center of Urban Environmental Pollution Control Beijing Municipal Research Institute of Environmental Protection Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China

Atmospheric glyoxal(GLY) and methylglyoxal(MGLY) are key precursors of secondary organic aerosol(SOA). However, anthropogenic emissions of GLY and MGLY and their contribution to surface GLY and MGLY concentrations, as well as the secondary organic aerosol(SOA) formation, are not well quantified. By developing an emission inventory of anthropogenic GLY and MGLY and improving Community Multiscale Air Quality Model(CMAQ) with SOA formation from irreversible surface uptake of GLY and MGLY, as well as a precursor-origin resolved technique, we quantified the source contributions of GLY and MGLY and their impact on wintertime SOA formation in Beijing, China. The total emissions of GLY and MGLY in Beijing in 2017 are 1.1×10～4 kmol and 7.0×10～3 kmol, respectively. Anthropogenic primary emissions are found to be the dominant contributor to GLY and MGLY concentrations(～74% for GLY and ～63% for MGLY). Anthropogenic primary emissions of GLY and MGLY contributes to 30% of GLY/MGLY SOA daily average concentration and accounts for up to 45% of nighttime GLY/MGLY SOA. The study suggests that the anthropogenic GLY and MGLY emissions, mainly from gasoline vehicles and cooking, are important for SOA formation and shall be strictly controlled in Chinese megacities.

关键词： SOA Sources of atmospheric glyoxal and methylglyoxal in Beijing and its impact on wintertime secondary organic aerosol formation

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Study on Scattering Signature Signal Modeling Method of Sea-surface Target for Bi-static Synthetic Aperture Radar

Study on Scattering Signature Signal Modeling Method of Sea-...

引用

2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

作者： Guijier, DIao Hong, Ni Yajing, Zhang Tianming, Zhan Xiaojian, Xu Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Beijing Electro-mechanical Engineering Institute Beijing China Datang Mobile Communication Equipment Co. Ltd. Datang Telecom Group Beijing China Beijing Aerospace Smart Manufacturing Technology Development Co.Ltd. Beijing China Electronic Information Engineering College Beihang University Beijing China

ISBN: (纸本)9781728123455

Based on the coupling scattering mechanism between the ship and sea surface, a scattering signature modeling method of sea-surface target for bi-static imaging radar is proposed, considering the modulation effects of sea-surface forcing to ship targets. The bi-static scattering signature signal for sea-surface target is modeled, in conjunction with high frequency asymptotic techniques for electromagnetic (EM) scattering calculation, the multi-path EM scattering model, the time-evolving complex reflection coefficient model and the ship motion dynamics. The time-varying scattering signatures for a typical ship on time-evolving sea-surface are simulated and analyzed. © 2019 IEEE.

关键词： Radar imaging

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