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A Virtual-Real Comparison Technique Used on Sport Simulation and Analysis

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A Virtual-Real Comparison Technique Used on Sport Simulation...

第七届国际信号处理会议

作者： Qiu Xian-jie1 2 Wang Zhao-qi1 Xia Shi-hong1 wu Yong-dong1 3 1 (Institute of Computing Technology Chinese Academy of sciences beijing china 100080) 2 (Graduate school of the Chinese Academy of sciences beijing china 100039) 3 (computer science department Taiyuan university of Technology Taiyuan china 030024)

The simulation and analysis of human motion is a popular issue in simulation area. It is highly valued in sport motion training and analysis. A method based on computer vision technologies is pres

关键词： sport simulation virtual-real comparison extrinsic parameters.

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面向维修决策的战役全域空间战损建模与仿真

系统仿真学报 2008年第20期20卷 5669-5671页

作者：喻春明迟玉红赵志武宋景峰东北大学机械工程与自动化学院清华大学计算机系中国人民解放军65053部队

战役全域空间内战场损伤的产生及分布是典型的非确定性难题。透过战场环境、装备配置、战术动作、受损程度等具体的确定性因素,把握其共性的特点和一般规律,利用概率统计方法进行仿真,是未来战争维修决策研究的前提和基础。提出以局部... 详细信息

战役全域空间内战场损伤的产生及分布是典型的非确定性难题。透过战场环境、装备配置、战术动作、受损程度等具体的确定性因素,把握其共性的特点和一般规律,利用概率统计方法进行仿真,是未来战争维修决策研究的前提和基础。提出以局部正态分布累加法拟合武器装备在战场上的空间分布,Эрланга分布拟合装备的战场损伤程度,解析战场损伤的随机过程,建立仿真模型;并以坦克师阵地防御战役中的一次战斗为例进行了计算机仿真,检验了模型的实用性。

关键词：维修决策战损建模与仿真战役全域空间虚拟战场 Эрланга分布

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三维全景图像分辨率的仿真分析

系统仿真学报 2009年第19期21卷 6126-6130页

作者：王红霞伍春洪杨扬王倩倩北京青年政治学院计算机系北京100102 北京科技大学信息工程学院北京100083

三维全景图像IntegralImaging(Ⅱ)是一种通过微透镜阵列来记录和显示全真三维场景的图像技术,它的一些突出特点使其在三维电视(3DTV)和可视化领域有着广泛的应用前景。当前,分辨率是限制Ⅱ技术发展的最重要因素之一。以计算机生成三维... 详细信息

三维全景图像IntegralImaging(Ⅱ)是一种通过微透镜阵列来记录和显示全真三维场景的图像技术,它的一些突出特点使其在三维电视(3DTV)和可视化领域有着广泛的应用前景。当前,分辨率是限制Ⅱ技术发展的最重要因素之一。以计算机生成三维全景图像(CGⅡ)为出发点,用数值分析的方法从记录平面分辨率和衍射效应的角度对传统三维全景图像的水平分辨率、深度分辨率进行分析,分析了距离l、相邻干扰crosstalk、微透镜孔径、像素大小等与分辨率的关系,并用计算机仿真验证了分析结果。该仿真分析结果既为生成高分辨率Ⅱ图像提供了理论指导,又为下一代3DTV的发展提供了应用基础。

关键词： Integral Imaging 分辨率分析水平分辨率深度分辨率

A quantum federated learning framework for classical clients

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science china(Physics,Mechanics & Astronomy) 2024年第5期67卷 1-10页

作者： Yanqi Song Yusen wu Shengyao wu Dandan Li Qiaoyan Wen Sujuan Qin Fei Gao State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 00876China department of Physics The University of Western AustraliaPerthWA 6009Australia school of computer science(National Pilot Software Engineering school) Beijing University of Posts and TelecommunicationsBeijing100876China

Quantum federated learning(QFL)enables collaborative training of a quantum machine learning(QML)model among multiple clients possessing quantum computing capabilities,without the need to share their respective local ***,the limited availability of quantum computing resources poses a challenge for each client to acquire quantum computing *** raises a natural question:Can quantum computing capabilities be deployed on the server instead?In this paper,we propose a QFL framework specifically designed for classical clients,referred to as CC-QFL,in response to this *** each iteration,the collaborative training of the QML model is assisted by the shadow tomography technique,eliminating the need for quantum computing capabilities of ***,the server constructs a classical representation of the QML model and transmits it to the *** clients encode their local data onto observables and use this classical representation to calculate local *** local gradients are then utilized to update the parameters of the QML *** evaluate the effectiveness of our framework through extensive numerical simulations using handwritten digit images from the MNIST *** framework provides valuable insights into QFL,particularly in scenarios where quantum computing resources are scarce.

关键词： client server quantum

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质子交换膜燃料电池风机控制技术研究

计算机工程与应用 2004年第36期40卷 223-225页

作者：毋茂盛张玉珊余达太晏蔚光河南师范大学计算机系河南新乡453007 北京科技大学信息学院北京100083

该文首先研究了质子交换膜燃料电池(PEMFC)风机的性能,分析了PEMFC的工作温度对其性能的影响,并给出了控制PEMFC风机的数学模型。然后,对高电压、大电流运算放大器OPA548进行了详细的介绍,设计了用OPA548控制PEMFC风机工作电压的硬件电... 详细信息

该文首先研究了质子交换膜燃料电池(PEMFC)风机的性能,分析了PEMFC的工作温度对其性能的影响,并给出了控制PEMFC风机的数学模型。然后,对高电压、大电流运算放大器OPA548进行了详细的介绍,设计了用OPA548控制PEMFC风机工作电压的硬件电路,最后,对使用OPA548时应注意的事项进行了讨论。

关键词：质子交换膜燃料电池温度风机控制运算放大器

SWG: an architecture for sparse weight gradient computation

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science china(Information sciences) 2024年第2期67卷 302-321页

作者： Weiwei wu Fengbin TU Xiangyu LI Shaojun WEI Shouyi YIN school of Integrated Circuits Tsinghua University department of Electronic and computer Engineering The Hong Kong University of Science and Technology

On-device training for deep neural networks(DNN) has become a trend due to various user preferences and scenarios. The DNN training process consists of three phases, feedforward(FF), backpropagation(BP), and weight gradient(WG) update. WG takes about one-third of the computation in the whole training process. Current training accelerators usually ignore the special computation property of WG and process it in a way similar to FF/BP. Besides, the extensive data sparsity existing in WG, which brings opportunities to save computation, is not well explored. Nevertheless, exploiting the optimization opportunities would meet three underutilization problems, which are caused by(1) the mismatch between WG data dimensions and hardware parallelism,(2) the full sparsity, i.e., the sparsity of feature map(Fmap),error map(Emap), and gradient, and(3) the workload imbalance resulting from irregular sparsity. In this paper, we propose a specific architecture for sparse weight gradient(SWG) computation. The architecture is designed based on hierarchical unrolling and sparsity-aware(HUSA) dataflow to exploit the optimization opportunities of the special computation property and full data sparsity. In HUSA dataflow, the data dimensions are unrolled hierarchically on the hardware architecture. A valid-data trace(VDT) mechanism is embedded in the dataflow to avoid the underutilization caused by the two-sided input sparsity. The gradient is unrolled in PE to alleviate the underutilization induced by output sparsity while maintaining the data reuse opportunities. Besides, we design an intra-and inter-column balancer(IIBLC) to dynamically tackle the workload imbalance problem resulting from the irregular sparsity. Experimental results show that with HUSA dataflow exploiting the full sparsity, SWG achieves a speedup of 12.23× over state-of-the-art gradient computation architecture, Train Ware. SWG helps to improve the energy efficiency of the state-of-the-art training accelerator LNPU from

关键词： CNN training gradient computation sparsity architecture

Performance Design of High-Temperature Chloride Salts as Thermal Energy Storage Material

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Journal of Thermal science 2024年第2期33卷 479-490页

作者： ZHAO Le WANG Jingyao CUI Liu LI Baorang DU Xiaoze wu Hongwei Key Laboratory of Power Station Energy Transfer Conversion and System(North china Electric Power university) Ministry of EducationBeijing102206China school of Energy and Power Engineering Lanzhou University of TechnologyLanzhou730050China school of Physics Engineering and Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK

The chloride salts have great potential used as high-temperature thermal energy storage(TES) medium for the concentrated solar power *** this study,LiCl,KCl and CaCl_(2) were selected as energy storage materials in order to further broaden the working temperature of ternary chloride salt and improve its energy storage *** new high-temperature energy storage ternary chloride composed of LiCl,KCl,and CaCl_(2) was developed based on the phase diagram generated by *** components of LiCl-KCl-CaCl_(2) with the mass ratio of 37.85%-53.38%-8.77%,30.90%-13.82%-55.28% and 1.78%-18.61%-79.61% were developed,of which the corresponding melting temperature(T_(m)) 340.93,433.57 and 626.85℃,respectively,was obtained *** that T_(m) of the third group of salts was too high,only the first two groups of salts were *** test showed that the actual melting point was only 0.46% and 1.64% different from the melting point predicted by *** thermal properties of the two ternary chloride salts were also *** solid and liquid-specific heat of ternary salts was determined by DSC using sapphire as the standard *** vapor pressure and decomposition temperature of ternary chloride salts were *** results showed that the vapor pressure of salt 1 was almost constant below 650℃ by ***,the TG results showed that the upper working temperature of salt 1 was 650℃ under the air *** addition,the ternary chloride salts after short-term cycling still exhibited excellent thermal properties,which revealed that these good thermal properties make them have broad application prospects in high-temperature thermal energy storage systems.

关键词： chloride salts thermal energy storages thermal properties thermal stability

Investigation of Defects Induced by Helium and Hydrogen Implantation in CLAM Steel by a Slow Positron Beam

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Investigation of Defects Induced by Helium and Hydrogen Impl...

Tjong:A transformer‐based Mahjong AI via hierarchical decision‐making and fan backward

9th International Conference on computer Simulation of Radiation Effects in Solids

作者： J.Qiu~1 Y.Xin~1 X.Ju~(1*) L.P.Guo~2 B.Y.Wang~3 Y.R.Zhong~3 Q.Y.Huang~4 Y.C.wu~4 1 department of Physics university of science and Technology beijing beijing 100083 china 2 Accelerator Laboratory school of Physics wuhan university wuhan Hubei 430072 china 3 Key Laboratory of Nuclear Analysis Techniques Institute of High Energy Physics Chinese Academy of sciences beijing 100049 china 4 Institute of Plasma Physics Chinese Academy of sciences Hefei Anhui 230031 china

＜正＞The Reduced Activation Ferritic/Martensitic（RAFM） steel is considered as the primary candidate of structural material for both the ITER and the first fusion plant, and widely studied in the *** china Low Activ... 详细信息

关键词： CLAM Steel Ion Implantation Slow Positron Beam

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 982-995页

作者： Xiali Li Bo Liu Zhi Wei Zhaoqi Wang Licheng wu school of Information and Engineering Minzu University of ChinaBeijingChina Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance of MOE Minzu University of ChinaBeijingChina department of computer science New Jersey Institute of TechnologyNewarkNew JerseyUSA

Mahjong,a complex game with hidden information and sparse rewards,poses significant *** Mahjong AIs require substantial hardware resources and extensive datasets to enhance AI *** authors propose a transformer‐based Mahjong AI(Tjong)via hierarchical decision‐*** utilising self‐attention mechanisms,Tjong effectively captures tile patterns and game dynamics,and it decouples the decision pro-cess into two distinct stages:action decision and tile *** design reduces de-cision complexity ***,a fan backward technique is proposed to address the sparse rewards by allocating reversed rewards for actions based on winning *** consists of 15M parameters and is trained using approximately 0.5 M data over 7 days of supervised learning on a single server with 2 *** action decision achieved an accuracy of 94.63%,while the claim decision attained 98.55%and the discard decision reached 81.51%.In a tournament format,Tjong outperformed AIs(CNN,MLP,RNN,ResNet,VIT),achieving scores up to 230%higher than its ***-more,after 3 days of reinforcement learning training,it ranked within the top 1%on the leaderboard on the Botzone platform.

关键词： decision making deep learning deep neural networks