The paper is focused on available server management in Internet connected network environments. The local backup servers are hooked up by LAN and replace broken main server immediately and several different types of b...The paper is focused on available server management in Internet connected network environments. The local backup servers are hooked up by LAN and replace broken main server immediately and several different types of backup servers are also considered. The remote backup servers are hooked up by VPN (Virtual Private Network) with high-speed optical network. A Virtual Private Network (VPN) is a way to use a public network infrastructure and hooks up long-distance servers within a single network infrastructure. The remote backup servers also replace broken main severs immediately under the different conditions with local backups. When the system performs a mandatory routine maintenance of main and local backup servers, auxiliary servers from other location are being used for backups during idle periods. Analytically tractable results are obtained by using several mathematical techniques and the results are demonstrated in the framework of optimized networked server allocation problems. The operational workflow give the guidelines for the actual implementations.展开更多
Measurement-based one-way quantum computation, which uses cluster states as resources, provides an efficient model to perforrn computation. However, few of the continuous variable （CV） quantum algorithms and classic...Measurement-based one-way quantum computation, which uses cluster states as resources, provides an efficient model to perforrn computation. However, few of the continuous variable （CV） quantum algorithms and classical algorithms based on one-way quantum computation were proposed. In this work, we propose a method to implement the classical Hadamard transform algorithm utilizing the CV cluster state. Compared with classical computation, only half operations are required when it is operated in the one-way CV quantum computer. As an example, we present a concrete scheme of four-mode classical Hadamard transform algorithm with a four-partite CV cluster state. This method connects the quantum computer and the classical algorithms, which shows the feasibility of running classical algorithms in a quantum computer efficiently.展开更多
数字签名算法对于网络安全基础设施有至关重要的作用,目前的数字签名方案大多是基于Rivest-Shamir-Adleman(RSA)和椭圆曲线密码学(ECC)实现的.随着量子计算技术的快速发展,基于传统的公钥密码体系的数字签名方案将面临安全性风险,研究...数字签名算法对于网络安全基础设施有至关重要的作用,目前的数字签名方案大多是基于Rivest-Shamir-Adleman(RSA)和椭圆曲线密码学(ECC)实现的.随着量子计算技术的快速发展,基于传统的公钥密码体系的数字签名方案将面临安全性风险,研究和部署能够抵抗量子攻击的新型密码方案成为重要的研究方向.经过多轮评估分析,美国国家标准研究院(National Institute of Standards and Technology,NIST)于2024年8月公布了后量子数字签名标准方案ML-DSA,其核心算法是Dilithium.针对格基数字签名算法Dilithium高维多项式矩阵运算的特点,基于FPGA平台提出了多种优化实现方法,具体包括可配置参数的多功能脉动阵列运算单元、专用型多项式并行采样模块、针对多参数集的可重构存储单元设计、针对复杂多模块的高并行度时序状态机,旨在突破性能瓶颈以实现更高的签名运算效率,并最终实现了可同时支持3种安全等级的数字签名硬件架构.该设计方案在Xilinx Artix-7 FPGA平台上进行了实际的部署和运行,并且和已有的同类型工作进行了对比.结果表明,与最新的文献相比,该设计方案在3种安全等级下的签名运算效率分别提升了7.4、8.3和5.6倍,为抗量子安全的数字签名运算服务提供了性能基础,并且对于推进格密码方案的工程化和实用化进程提供了一定的借鉴意义和参考价值.展开更多
随着人工智能技术的快速发展,常识智能问答已成为人机互动与智能应用的重要研究方向。基于BERT模型探讨了常识智能问答算法的构建方法,旨在实现高效的自然语言处理(Natueal Language Processing,NLP)和常识推理。分析了BERT在常识表示...随着人工智能技术的快速发展,常识智能问答已成为人机互动与智能应用的重要研究方向。基于BERT模型探讨了常识智能问答算法的构建方法,旨在实现高效的自然语言处理(Natueal Language Processing,NLP)和常识推理。分析了BERT在常识表示和问答实现中的优势,设计了基于BERT的智能问答算法框架,进行了实验验证并分析了应用效果。实验结果表明,基于BERT的常识问答算法在多个场景中表现出色,具有较高的性能和应用价值。展开更多
Block-matching and 3D-filtering(BM3D) is a state of the art denoising algorithm for image/video,which takes full advantages of the spatial correlation and the temporal correlation of the video. The algorithm performan...Block-matching and 3D-filtering(BM3D) is a state of the art denoising algorithm for image/video,which takes full advantages of the spatial correlation and the temporal correlation of the video. The algorithm performance comes at the price of more similar blocks finding and filtering which bring high computation and memory access. Area, memory bandwidth and computation are the major bottlenecks to design a feasible architecture because of large frame size and search range. In this paper, we introduce a novel structure to increase data reuse rate and reduce the internal static-random-access-memory(SRAM) memory. Our target is to design a phase alternating line(PAL) or real-time processing chip of BM3 D. We propose an application specific integrated circuit(ASIC) architecture of BM3 D for a 720 × 576 BT656 PAL format. The feature of the chip is with 100 MHz system frequency and a 166-MHz 32-bit double data rate(DDR). When noise is σ = 25, we successfully realize real-time denoising and achieve about 10 d B peak signal to noise ratio(PSNR) advance just by one iteration of the BM3 D algorithm.展开更多
The accuracy of present flatness predictive method is limited and it just belongs to software simulation. In order to improve it, a novel flatness predictive model via T-S cloud reasoning network implemented by digita...The accuracy of present flatness predictive method is limited and it just belongs to software simulation. In order to improve it, a novel flatness predictive model via T-S cloud reasoning network implemented by digital signal processor(DSP) is proposed. First, the combination of genetic algorithm(GA) and simulated annealing algorithm(SAA) is put forward, called GA-SA algorithm, which can make full use of the global search ability of GA and local search ability of SA. Later, based on T-S cloud reasoning neural network, flatness predictive model is designed in DSP. And it is applied to 900 HC reversible cold rolling mill. Experimental results demonstrate that the flatness predictive model via T-S cloud reasoning network can run on the hardware DSP TMS320 F2812 with high accuracy and robustness by using GA-SA algorithm to optimize the model parameter.展开更多
文摘The paper is focused on available server management in Internet connected network environments. The local backup servers are hooked up by LAN and replace broken main server immediately and several different types of backup servers are also considered. The remote backup servers are hooked up by VPN (Virtual Private Network) with high-speed optical network. A Virtual Private Network (VPN) is a way to use a public network infrastructure and hooks up long-distance servers within a single network infrastructure. The remote backup servers also replace broken main severs immediately under the different conditions with local backups. When the system performs a mandatory routine maintenance of main and local backup servers, auxiliary servers from other location are being used for backups during idle periods. Analytically tractable results are obtained by using several mathematical techniques and the results are demonstrated in the framework of optimized networked server allocation problems. The operational workflow give the guidelines for the actual implementations.
基金Supported by the National Natural Science Foundation of China under Grant Nos 11504024,61502041,61602045 and 61602046the National Key Research and Development Program of China under Grant No 2016YFA0302600
文摘Measurement-based one-way quantum computation, which uses cluster states as resources, provides an efficient model to perforrn computation. However, few of the continuous variable （CV） quantum algorithms and classical algorithms based on one-way quantum computation were proposed. In this work, we propose a method to implement the classical Hadamard transform algorithm utilizing the CV cluster state. Compared with classical computation, only half operations are required when it is operated in the one-way CV quantum computer. As an example, we present a concrete scheme of four-mode classical Hadamard transform algorithm with a four-partite CV cluster state. This method connects the quantum computer and the classical algorithms, which shows the feasibility of running classical algorithms in a quantum computer efficiently.
文摘数字签名算法对于网络安全基础设施有至关重要的作用,目前的数字签名方案大多是基于Rivest-Shamir-Adleman(RSA)和椭圆曲线密码学(ECC)实现的.随着量子计算技术的快速发展,基于传统的公钥密码体系的数字签名方案将面临安全性风险,研究和部署能够抵抗量子攻击的新型密码方案成为重要的研究方向.经过多轮评估分析,美国国家标准研究院(National Institute of Standards and Technology,NIST)于2024年8月公布了后量子数字签名标准方案ML-DSA,其核心算法是Dilithium.针对格基数字签名算法Dilithium高维多项式矩阵运算的特点,基于FPGA平台提出了多种优化实现方法,具体包括可配置参数的多功能脉动阵列运算单元、专用型多项式并行采样模块、针对多参数集的可重构存储单元设计、针对复杂多模块的高并行度时序状态机,旨在突破性能瓶颈以实现更高的签名运算效率,并最终实现了可同时支持3种安全等级的数字签名硬件架构.该设计方案在Xilinx Artix-7 FPGA平台上进行了实际的部署和运行,并且和已有的同类型工作进行了对比.结果表明,与最新的文献相比,该设计方案在3种安全等级下的签名运算效率分别提升了7.4、8.3和5.6倍,为抗量子安全的数字签名运算服务提供了性能基础,并且对于推进格密码方案的工程化和实用化进程提供了一定的借鉴意义和参考价值.
文摘随着人工智能技术的快速发展,常识智能问答已成为人机互动与智能应用的重要研究方向。基于BERT模型探讨了常识智能问答算法的构建方法,旨在实现高效的自然语言处理(Natueal Language Processing,NLP)和常识推理。分析了BERT在常识表示和问答实现中的优势,设计了基于BERT的智能问答算法框架,进行了实验验证并分析了应用效果。实验结果表明,基于BERT的常识问答算法在多个场景中表现出色,具有较高的性能和应用价值。
基金the National Natural Science Foundation of China(No.61234001)
文摘Block-matching and 3D-filtering(BM3D) is a state of the art denoising algorithm for image/video,which takes full advantages of the spatial correlation and the temporal correlation of the video. The algorithm performance comes at the price of more similar blocks finding and filtering which bring high computation and memory access. Area, memory bandwidth and computation are the major bottlenecks to design a feasible architecture because of large frame size and search range. In this paper, we introduce a novel structure to increase data reuse rate and reduce the internal static-random-access-memory(SRAM) memory. Our target is to design a phase alternating line(PAL) or real-time processing chip of BM3 D. We propose an application specific integrated circuit(ASIC) architecture of BM3 D for a 720 × 576 BT656 PAL format. The feature of the chip is with 100 MHz system frequency and a 166-MHz 32-bit double data rate(DDR). When noise is σ = 25, we successfully realize real-time denoising and achieve about 10 d B peak signal to noise ratio(PSNR) advance just by one iteration of the BM3 D algorithm.
基金Project(E2015203354)supported by Natural Science Foundation of Steel United Research Fund of Hebei Province,ChinaProject(ZD2016100)supported by the Science and the Technology Research Key Project of High School of Hebei Province,China+1 种基金Project(LJRC013)supported by the University Innovation Team of Hebei Province Leading Talent Cultivation,ChinaProject(16LGY015)supported by the Basic Research Special Breeding of Yanshan University,China
文摘The accuracy of present flatness predictive method is limited and it just belongs to software simulation. In order to improve it, a novel flatness predictive model via T-S cloud reasoning network implemented by digital signal processor(DSP) is proposed. First, the combination of genetic algorithm(GA) and simulated annealing algorithm(SAA) is put forward, called GA-SA algorithm, which can make full use of the global search ability of GA and local search ability of SA. Later, based on T-S cloud reasoning neural network, flatness predictive model is designed in DSP. And it is applied to 900 HC reversible cold rolling mill. Experimental results demonstrate that the flatness predictive model via T-S cloud reasoning network can run on the hardware DSP TMS320 F2812 with high accuracy and robustness by using GA-SA algorithm to optimize the model parameter.
