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SSRN 2023年

作者： Liang, Yuechao Guo, Xiao-Wei Li, Chao Yuan, Fan Song, Min Zhang, Qingyang Chen, Xinhai Liu, Jie Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China Laboratory of Digitizing Software for Frontier Equipment National University of Defense Technology Changsha410073 China Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China School of Mathematics and Computational Sciences Xiangtan University Xiangtan411105 China College of Computer Science and Technology National University of Defense Technology Changsha410073 China

The implicitly coupled pressure-based algorithm is widely acknowledged for its superior convergence and robustness in solving incompressible flow problems. However, the increased expansion scale of equations and difficulty in solving the resulting equation system has limited the widespread use of the coupling algorithm. This paper presents an optimized block-SAMG method, referred to as Red-SAMG, to significantly reduce computational complexity and memory consumption. Our approach employs a parallel modified independent set algorithm, allowing each process to perform matrix coarsening individually. An aggressive coarsening strategy further reduces complexity to address larger-scale problems. We conducted numerical experiments on a serial two-dimensional backward-facing step case and a parallel three-dimensional tunnel between rod bundles in the reactor core problem. The results demonstrate that the Red-SAMG method with aggressive coarsening reduces solution time by 12\% on the backward-facing step case. For large-scale three-dimensional problems under the same parallel conditions, the Red-SAMG method shortens the solution time by 14\% compared to the existing SAMG method. The Red-SAMG method with aggressive coarsening further reduces solution time by 49\%. Our optimized Red-SAMG method effectively reduces the complexity of the linear system arising from the implicitly coupled algorithm. The aggressive coarsening strategy also represents a significant advancement in improving the computational efficiency of the SAMG method. © 2023, The Authors. All rights reserved.

关键词： Coarsening

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MMDSSE: Multi-client and Multi-keyword Dynamic Searchable Symmetric Encryption for Cloud Storage

MMDSSE: Multi-client and Multi-keyword Dynamic Searchable Sy...

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Annual Conference on Privacy, Security and Trust, PST

作者： Panyu Wu Zhenfu Cao Jiachen Shen Xiaolei Dong Yihao Yang Jun Zhou Liming Fang Zhe Liu Chunpeng Ge Chunhua Su Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China Research Center for Basic Theories of Intelligent Computing Research Institute of Basic Theories Zhejiang Lab Hangzhou China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Science and Technology on Parallel and Distributed Processing Laboratory (PDL) Changsha China Shandong University Jinan China University of Aizu Fukushima Japan

Since data outsourcing poses privacy concerns with data leakage, searchable symmetric encryption (SSE) has emerged as a powerful solution that enables clients to perform query operations on encrypted data while preserving their privacy. Dynamic SSE schemes have been proposed to handle update operations. However, it is shown that updates might increase the risk of information leakage. Meanwhile, to meet the requirement of real-world applications, it is desirable to have the searchable encryption scheme which supports both multiple clients and multi-keyword queries. To address these issues, this paper proposes MMDSSE, a multi-client forward secure dynamic SSE scheme that supports multi-keyword queries. MMDSSE allows the clients narrow down the results by providing an arbitrary subset of the entire archive, and thus suitable for cloud storage environment. Security analysis and experimental evaluations show that MMDSSE is secure and efficient.

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不确定Skyline查询技术研究

不确定Skyline查询技术研究

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第29届中国数据库学术会议

作者： Wang Yijie 王意洁 Li Xiaoyong 李小勇 Yang Yongtao 杨永滔 Qi Yafei 祁亚斐 Wang Guangdong 王广东 National Key Laboratory for Parallel and Distributed Processing College of Computer National Unive 国防科学技术大学计算机学院并行与分布处理国家重点实验室长沙 410073

当前不确定数据广泛存在于诸如传感器网络、RFID网络、基于位置服务、移动对象管理网上购物和市场监控等各种实际应用中。不确定Skyline查询作为不确定数据管理的一个重要方面，由于其在决策制定、市场分析、环境监控和数据挖掘等方面... 详细信息

当前不确定数据广泛存在于诸如传感器网络、RFID网络、基于位置服务、移动对象管理网上购物和市场监控等各种实际应用中。不确定Skyline查询作为不确定数据管理的一个重要方面，由于其在决策制定、市场分析、环境监控和数据挖掘等方面的重要作用，近年来在数据库和网络计算领域受到广泛关注。首先，概述了各种不确定数据类型上的Skyline查询定义，包括离散、连续概率分布模型以及不完全数据上的Skyline查询定义;其次，分析了不确定Skyline查询的特点，并在此基础上综述了现有的各种不确定数据集上的集中式和分布式Skyline查询方法，重点分析了各种算法的原理和优缺点;再次，介绍了不确定数据流上的Skyline查询定义并综述了各种不确定数据流上的Skyline查询方法;最后，基于最新研究动态指出了未来不确定Skyline查询研究的趋势。

关键词：数据查询不确定数据分布式技术

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基于移动云计算的大规模上下文流处理框架研究

基于移动云计算的大规模上下文流处理框架研究

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第九届中国通信学会学术年会

作者： XIAO You 肖友 SHI Dian-xi 史殿习 National Key Laboratory for Parallel and Distributed Processing School of Computer ScienceNational 国防科技大学计算机学院并行与分布处理国家重点实验室长沙410073

随着移动云计算的兴起，有关于大规模移动设备上下文信息处理的研究成为了热点。目前比较流行的解决方案是采用基于MapReduce计算模型的Hadoop框架，它虽能解决大规模数据处理的吞吐量问题但是却不能很好的解决数据处理的时效问题。因... 详细信息

随着移动云计算的兴起，有关于大规模移动设备上下文信息处理的研究成为了热点。目前比较流行的解决方案是采用基于MapReduce计算模型的Hadoop框架，它虽能解决大规模数据处理的吞吐量问题但是却不能很好的解决数据处理的时效问题。因此，本文针对存在的问题，提出了移动云计算与流处理技术相结合的解决方案，并构建与实现了一个实时处理大规模上下文的流处理框架。最后通过此框架对本文的研究内容进行了验证，且以一个道路实况监测的实例验证了框架的可行性及有效性。

关键词：移动云计算上下文信息流处理框架可行性分析

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基于物理轨迹数据和社会网络的泛化行程推荐

基于物理轨迹数据和社会网络的泛化行程推荐

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第六届中国传感器网络学术会议(CWSN 2012)

作者： MENG Xiang-Xu 孟祥旭 WANG Xiao-Dong 王晓东 ZHOU Xing-Ming 周兴铭 National Key Laboratory of Parallel and Distributed Processing(College of Computer Science National 并行与分布处理国家重点实验室(国防科学技术大学计算机学院) 湖南长沙410073

人类活动行程的制定往往基于宽泛的最初意向，通过综合考虑各种约束条件加以优化而完成。当前，基于位置点名称查找的行程制定方法，不支持用户一次性提交多个具有时序关系的宽泛出行意向，更不能同时为多个地理位置点提供详细的最优驾... 详细信息

人类活动行程的制定往往基于宽泛的最初意向，通过综合考虑各种约束条件加以优化而完成。当前，基于位置点名称查找的行程制定方法，不支持用户一次性提交多个具有时序关系的宽泛出行意向，更不能同时为多个地理位置点提供详细的最优驾车方案。基于位置社交网络信息和车辆历史轨迹数据，探索了支持用户多个模糊意向输入的泛化行程推荐框架，主要工作包括：(1)对泛化的行程推荐问题进行建模;(2)设计并实现了基于分类树的地理位置点(POI)查询策略和算法;(3)提出了基于Voronoi图的GPS轨迹分析模型，并实现了任意两个位置点间最优行驶路径计算方法;(4)联合社会网络和语义交通信息图，基于蚁群算法进行行程的推荐，并实现了原型系统。实验及问卷调查结果表明，推荐结果的用户满意度可达80％。

关键词：行程规划泛化模型优化设计物理轨迹数据社会网络

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Deep learning-based age estimation using B-mode ultrasound tongue imaging

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The Journal of the Acoustical Society of America 2021年第4_SUPPLEMENT期150卷 A190-A190页

作者： Kele Xu Tamás G. Csapó Ming Feng National Key Lab. of Parallel and Distributed Processing (PDL) 107 Yanwachi Changsha 410073 China kelele.xu@*** Budapest Univ. of Technol. and Economics Budapest Hungary Tongji Univ. Shanghai China

The feasibility of age estimation is explored using the ultrasound tongue image of the speakers. Motivated by the success of deep learning, a deep convolutional neural network model is trained on the UltraSuite dataset. The deep model achieves mean absolute error (MAE) of 2.03 years for the data from typically developing children, while MAE is 4.87 for the data from the children with speech sound disorders, which suggest that age estimation using ultrasound is more challenging for the children with speech sound disorder. Also, we explore to visualize what does the deep model learn for the age estimation task. We firstly visualize the convolutional layers in the learned convolutional neural networks. We observe that the deep model not only focuses on the contour in the ultrasound tongue image, but also pays more attention to the regions corresponding to the tendon and tongue root regions, which may provide guidance for future ultrasound tongue imaging interpretation tasks. The developed method can be used a tool to evaluate the performance of speech therapy sessions.

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Strategy of transcription analysis for alternative splicing research

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Guofang Keji Daxue Xuebao/Journal of national University of Defense Technology 2006年第4期28卷 37-42页

作者： Wang, Zheng-Zhi Li, Zhi-Feng Hang, Xing-Yi Mao, Yi-Qing Luo, Zhi-Gang Zhao, Dong-Sheng Zhang, Cheng-Gang College of Mechatronics Engineering and Automation National Univ. of Defense Technology Changsha 410073 China Institute of Radiation Medicine Academy of Military Medical Sciences Beijing 100850 China Institute of Health Administration and Medical Information Academy of Military Medical Sciences Beijing 100850 China National Lab of Parallel and Distributed Processing National Univ. of Defense Technology Changsha 410073 China

Experiments on transcription analysis have resulted huge genes expression data related with specific temporal and spatial information. These data can be used in new genes identification, analysis of genes express patterns and the annotation of genomes, which may provide the reference standard for experiment design and result analysis of transcription experiments. Since the alternative splicing of eukaryotic genes have found to be universal and play an important role in physiology and pathology, systematic analysis of alternative splicing is becoming a new hotspot of functional genome research. Facing the immense and exponential increase of experimental express data and more new genomes getting sequenced, there is exigent of the strategy which can handle transcription sequences in large scale and automatic way. We elucidate the algorithms, the computing requirements and programs in different transcription sequences analysis systems and propose a strategy more suitable for large scale analysis of alternative splicing.

关键词： Alternative splicing EST assembly EST clustering High performance computing Transcripton

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MDPPC: Efficient Scalable Multiparty Delegated PSI and PSI Cardinality

MDPPC: Efficient Scalable Multiparty Delegated PSI and PSI C...

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Annual Conference on Privacy, Security and Trust, PST

作者： Yihao Yang Xiaolei Dong Jiachen Shen Zhenfu Cao Yunbo Yang Jun Zhou Liming Fang Zhe Liu Chunpeng Ge Chunhua Su Zongyang Hou Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China Research Center for Basic Theories of Intelligent Computing Research Institute of Basic Theories Zhejiang Lab Hangzhou China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Science and Technology on Parallel and Distributed Processing Laboratory (PDL) Changsha China Shandong University Jinan China University of Aizu Fukushima Japan Print-Rite Technology Development Co. Ltd. Of Zhuhai China

Private Set Intersection (PSI) is one of the most important functions in secure multiparty computation (MPC). PSI protocols have been a practical cryptographic primitive and there are many privacy-preserving applications based on PSI protocols such as computing conversion of advertising and distributed computation. Private Set Intersection Cardinality (PSI-CA) is a useful variant of PSI protocol. PSI and PSI-CA allow several parties, each holding a private set, to jointly compute the intersection and cardinality, respectively without leaking any additional information. Nowadays, most PSI protocols mainly focus on two-party settings, while in multiparty settings, parties are able to share more valuable information and thus more desirable. On the other hand, with the advent of cloud computing, delegating computation to an untrusted server becomes an interesting problem. However, most existing delegated PSI protocols are unable to efficiently scale to multiple clients. In order to solve these problems, this paper proposes MDPPC, an efficient PSI protocol which supports scalable multiparty delegated PSI and PSI-CA operations. Security analysis shows that MDPPC is secure against semi-honest adversaries and it allows any number of colluding clients. For 15 parties with set size of 2 20 on server side and 2 16 on clients side, MDPPC costs only 81 seconds in PSI and 80 seconds in PSI-CA, respectively. The experimental results show that MDPPC has high scalability.

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不确定数据流上的并行Skyline查询算法

不确定数据流上的并行Skyline查询算法

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第29届中国数据库学术会议

作者： WANG Guangdong 王广东 WANG Yijie 王意洁 LI Xiaoyong 李小勇 WANG Yuan 王媛 National Key Laboratory for Parallel and Distributed Processing College of Computer Science Nation 国防科技大学计算机学院并行与分布处理国家重点实验室长沙410073

不确定数据流上的Skyline查询技术逐步引起研究者的关注，传统的集中式流处理算法难以满足海量数据的查询需求，并且云计算所提供的海量计算资源和有效的存储管理模式，为研究并行Skyline查询技术提供了充足的条件。基于上述事实，提出... 详细信息

不确定数据流上的Skyline查询技术逐步引起研究者的关注，传统的集中式流处理算法难以满足海量数据的查询需求，并且云计算所提供的海量计算资源和有效的存储管理模式，为研究并行Skyline查询技术提供了充足的条件。基于上述事实，提出了一种不确定数据流上的并行Skyline查询算法(PSUDS)。该算法通过交叉划分滑动窗口的方式，将集中式流查询转化为并行处理，以并行执行的方式来解决集中式算法处理性能不足的问题。大量实验结果表明，该算法具有较好的并行可扩展性。

关键词：不确定数据流云计算并行处理查询算法性能测试

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High-energy-density electron beam from interaction of two successive laser pulses with subcritical-density plasma

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Physical Review Accelerators and Beams 2016年第2期19卷 021301-021301页

作者： J. W. Wang W. Yu M. Y. Yu H. Xu J. J. Ju S. X. Luan M. Murakami M. Zepf S. Rykovanov Helmholtz Institute Jena Jena 07743 Germany State Key Laboratory of High Field Laser Physics Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai 201800 China Institute for Fusion Theory and Simulation and the Department of Physics Zhejiang University Hangzhou 310027 China Institute for Theoretical Physics I Ruhr University Bochum D-44780 Germany National Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha 410073 China Institute of Laser Engineering Osaka University Osaka 565-0871 Japan Centre for Plasma Physics School of Mathematics and Physics Queen’s University Belfast Belfast BT7 1NN United Kingdom

It is shown by particle-in-cell simulations that a narrow electron beam with high energy and charge density can be generated in a subcritical-density plasma by two consecutive laser pulses. Although the first laser pulse dissipates rapidly, the second pulse can propagate for a long distance in the thin wake channel created by the first pulse and can further accelerate the preaccelerated electrons therein. Given that the second pulse also self-focuses, the resulting electron beam has a narrow waist and high charge and energy densities. Such beams are useful for enhancing the target-back space-charge field in target normal sheath acceleration of ions and bremsstrahlung sources, among others.

关键词： Plasma acceleration & new acceleration techniques

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