院系详细页面

[中文期刊] 基于HLA的三维虚拟环境剑桥核源

作者：陈谊，梁炳成，战守义（北京理工大学计算机科学与工程系,中国航天科工集团二院,北京理工大学计算机科学与工程系北京100081北京工商大学计算机学院,北京100037 ,北京100854 ,北京100081）

出处：计算机工程与应用 2002 第14期 P21-24

关键词：高层体系结构HLA；分布交互仿真；三维虚拟环境；实时性

摘要：在分析了HLA体系结构及运行支撑框架(RTI)的基础上,提出了一个基于HLA的三维虚拟环境的设计和实现方案。阐明了此类系统的设计方法,着重分析了系统实现中涉及的仿真对象模型、信息交互机制、程序控制逻辑、坐标转换、实时性等关键技术问题和解决方案。最后在使用WindowsNT4.0的PIII高档微机平台 ...

[中文学位论文] 激光非接触测量在薄板结构模态分析中的应用

作者：焦安超（导师：黄华）

学位名称：硕士

出处：北京理工大学 2002

关键词：模态分析；动力特性；激光测振；有限元分析

摘要：该课题采用当今最先进的振动测量手段——激光测振来对薄板结构振动进行测量,并对其进行模态分析.为了比较不同的测量手段和分析手段之间的差别,课题中同时采用了传感器测量和ANSYS软件对振动物体进行模态参数的获取与分析.车辆油底壳作为薄板的典型结构,对车辆的振动与噪声有很大的影响.论文详细的介绍了激光测振 ...

[中文学位论文] 基于模态综合法的双弹运输车的动态分析

作者：茹丽妙（导师：黄华）

学位名称：硕士

出处：北京理工大学 2001

关键词：运输车；动态分析；有限元方法；模态综合；固有频率

摘要：该文所做的研究是双弹运输车的动力学分析.它的主要研究内容包括:采用有限元的方法建立了运输车车体的模型,并对其进行模态分析,得到车体的固有频率及振型;针对三子结构系统,对两种自由界面模态综合法:传统的自由界面模态综合法和双协调子结构模态综合法的计算公式作?

[外文期刊] French Government Honors Liberators of World War II

作者： Yiwei Liu;Zihui Liu; （²Department of Mathematics, Beijing Key Laboratory on MCAACI, Beijing Institute of Technology, Beijing 100081, China ;¹School of Computer Science & Technology, Beijing Institute of Technology, Beijing 100081, China）

出处： DAV Magazine 2001 Vol.341 No.7 P1959-1972

关键词： French Government;World War II;Liberators;United States;French Territory;Territorial Waters

摘要： For an odd prime p , let q = p m , and denote Tr e m the trace function from F q onto F p e , where e is a divisor of m . For a positive integer t and ...

[外文期刊] The Component Diagnosability of Hypercubes with Large-Scale Faulty Nodes SCIE EI

作者： Shurong Zhang;Dongyue Liang;Lin Chen;Ronghua Li;Weihua Yang （College of Mathematics, Taiyuan University of Technology, Taiyuan, Shanxi 030024, P.R. China College of Mathematics, Taiyuan University of Technology, Taiyuan, Shanxi 030024, P.R. China School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, Guangdong 510275, P.R. China School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, P.R. China College of Mathematics, Taiyuan University of Technology, Taiyuan, Shanxi 030024, P.R. China）

出处： The Computer Journal

摘要： The diagnosability is one of the most important measures of the reliability of networks. Consider the setting where there are large-scale failures tha ...

[外文期刊] Evaluation of graph convolutional networks performance for visual question answering on reasoning datasets SCIE EI

作者： Abdulganiyu Abdu Yusuf ^1,2;Feng Chong^1,3; & Mao Xianling^1,4; （¹School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;²National Biotechnology Development Agency, Abuja, Nigeria;³South-East Information Technology Institute of Beijing Institute of Technology, Beijing, China;⁴Beijing Engineering Research Centre of High Volume Language Information Processing and Cloud Computing Application, Beijing, China）

出处： Multimedia Tools and Applications

关键词： VQA;GCN;Performance measure;Fine-tuned representation;Reasoning datasets

摘要： In the recent era, graph neural networks are widely used on vision-to-language tasks and achieved promising results. In particular, graph convolution ...

[外文期刊] Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint

作者： Mixue Xie¹;, Shuang Li ¹;, Kaixiong Gong¹;, Yulin Wang²; & …Gao Huang²; （¹School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;²Department of Automation, Tsinghua University, Beijing, China）

出处： International Journal of Computer Vision

关键词： Domain shift;Domain adaptation;Semantic augmentation;Prototype constraint

摘要： The demand for reducing label annotation cost and adapting to new data distributions gives rise to the emergence of domain adaptation (DA). DA aims to ...

[外文期刊] MC-GAT: Multi-Channel Graph Attention Networks for Capturing Diverse Information in Complex Graphs

作者： Zhiyao La^1,2;, Yurong Qian^1,2;, Hongyong Leng^1,4;, Tianyu Gu^1,2;, Weijun Gong^2,3; & …Jiaying Chen^1,2; （¹Software College, Xinjiang University, Urumqi, 830000, China;²Key Laboratory of signal detection and processing in Xinjiang Uygur Autonomous Region, Key Laboratory of Software Engineering, Xinjiang University, Xinjiang, China;³School of Information Science and Engineering, Xinjiang University, Urumqi, 830000, China;⁴School of Computer Science, Beijing Institute of Technology, Beijing, 100081, China）

出处： Cognitive Computation

关键词： Graph attention networks;Node representation learning;Deep learning

摘要： Graph attention networks (GAT), which have strong performance in tackling various analytical tasks on network data, have attracted wide attention. How ...

[外文期刊] Query focused summarization via relevance distillation SCIE EI

作者： Ye Yue;Yuanli Li;Jia-ao Zhan & Yang Gao （¹Science and Technology Training Center of CAS, Beijing, 100190, China;²Office of CPPCC DAILY, Beijing, China;³School of Computer Science, Beijing Institute of Technology, Beijing, 100081, China）

出处： Neural Computing and Applications

关键词： Document summarization;Knowledge distillation;Unsupervised method

摘要： Creating a short version of a concise and relevant summary regarding a specific query can broadly meet a user’s information needs in many areas. In a ...

[外文期刊] Large-area damage image restoration algorithm based on generative adversarial network

作者： Gang Liu;Xiaofeng Li;Jin Wei （College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, China Gang Liu <<#>> Department of Information Engineering, Heilongjiang International University, Harbin, 150025, China Xiaofeng Li <<#>> School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China Jin Wei）

出处： Neural Computing and Applications

关键词： Generative adversarial network;Damage image;Generator;Discriminator;Contextual information;Perceptual information;Restoration

摘要： Given that the traditional image restoration algorithm cannot generate high-quality false images and the restoration accuracy for the large-area damag ...