检索结果-内蒙古大学图书馆

2013 International Conference on Vehicle and Mechanical Engineering and Information technology, VMEIT 2013

作者： Lin, Dai Mao Li, Xin Zhang, Lei Beijing Institute of Electronic Applications Technology Beijing 100091 China National Computer network Emergency Response technical Team/Coordination of China Beijing 100029 China Beijing Institute of Electronic Applications Technology Beijing 100091 China

ISBN: (纸本)9783037858202

Classical cryptography theory holds that the true random sequence is better than any pseudorandom sequence on the security of stream cipher. So people prefer the pseudorandom sequence with long-period to the pseudorandom sequence with short-period. In this paper, it is proved through power spectrum analysis that the pseudorandom sequence with long-period can't effectively conceal message characteristics in frequency-domain. To combine the pseudorandom sequences with long cycle and short cycle may be the better encryption key. © (2013) Trans Tech Publications, Switzerland.

关键词： Spectrum analysis

来源：评论

学校读者我要写书评

暂无评论

The attitude control optimization of small rocket 12

The attitude control optimization of small rocket

引用

12th Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2021

作者： Ni, Runfeng Wen, Chunyu Jia, Linhai Zhang, Yao Liu, Shiyu School of Information and Electronics Beijing Institute of Technology Beijing100081 China School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China Beijing Institute of Computer Technology and Applications Beijing100854 China

In this article, an optimization method for attitude calculation and vector control of small rocket is proposed, which reduces the performance requirements and costs of gyroscopes. Dynamic model parameters such as engine thrust curve and rocket body moment of inertia are added to the traditional filtering and control algorithm, which can reduce the hardware performance requirements of sensors and the cost of rocket control system. This method has achieved good results in the test, and is of great significance for the promotion of small rockets. © Published under licence by IOP Publishing Ltd.

关键词： Rockets

来源：评论

学校读者我要写书评

暂无评论

Method for Processing Graph Degeneracy in Dynamic Geometry Based on Domain Design

引用

Journal of computer Science & technology 2021年第4期36卷 910-921页

作者： Hao Guan Yong-Sheng Rao Jing-Zhong Zhang Sheng Cao Xiao-Lin Qin Institute of Computing Science and Technology Guangzhou UniversityGuangzhou 510006China Chengdu Institute of Computer Applications Chinese Academy of SciencesChengdu 610041China University of Chinese Academy of Sciences Beijing 100049China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 61173China

A dynamic geometry system,as an important application in the field of geometric constraint solving,is widely used in elementary mathematics education;moreover,the dynamic geometry system is also a fundamental environment for automated theorem proving in *** a geometric constraint solving process,a situation involving a critical point is often encountered,and geometric element degeneracy may occur at this ***,the degeneracy situation must be substantively focused on during the learning and exploration ***,many degeneracy situations cannot be completely presented even by the well-known dynamic geometry *** this paper,the mechanisms causing the degeneracy of a geometric element are analyzed,and relevant definitions and formalized descriptions for the problem are provided according to the relevant modern Euclidean geometry *** solve the problem,the data structure is optimized,and a domain model design for the geometric element and the constraint relationships thereof in the dynamic geometry system are formed;furthermore,an update algorithm for the element is proposed based on the novel domain *** addition,instances show that the proposed domain model and the update algorithm can effectively cope with the geometric element degeneracy situations in the geometric constraint solving process,thereby achieving unification of the dynamic geometry drawing and the geometric intuition of the user.

关键词： dynamic geometry critical point degeneracy domain model

来源：评论

学校读者我要写书评

暂无评论

Unsupervised analysis of encrypted video traffic based on levenshtein distance 6th

Unsupervised analysis of encrypted video traffic based on le...

引用

6th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2020

作者： Yang, Luming Zeng, Yingming Fu, Shaojing Luo, Yuchuan College of Computer National University of Defense Technology Changsha China Beijing Institute of Computer Technology and Applications Beijing China State Key Laboratory of Cryptology Beijing China

ISBN: (纸本)9789811590306

It is effective for supervisors to monitor the network by analyzing traffic from *** this way, illegal video can be detected when it is played on the network. Most Internet traffic is encrypted, which brings difficulties to traffic analysis. However, many researches suggest that even if the video traffic is encrypted, the information of video segmentation leaked by DASH (Dynamic Adaptive Streaming over HTTP) can also be used to identify the content of encrypted video traffic without decryption. Moreover, each encrypted video stream can be represented by a fragment sequence. This paper presents two methods based on Levenshtein distance for encrypted video traffic analysis. Using the distance distribution fitted by gamma distribution functions, we calculated a threshold to determine whether two encrypted video traffic belonging to the same video. The accuracy of the judgment using the threshold reached 89%, stably. As far as I am concerned, it is the first work to apply unsupervised methods for content analysis of encrypted video traffic. © Springer Nature Singapore Pte Ltd 2020.

关键词： Distribution functions

来源：评论

学校读者我要写书评

暂无评论

DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

arXiv

引用

arXiv 2025年

作者： Zeng, Jinzhe Zhang, Duo Peng, Anyang Zhang, Xiangyu He, Sensen Wang, Yan Liu, Xinzijian Bi, Hangrui Li, Yifan Cai, Chun Zhang, Chengqian Du, Yiming Zhu, Jia-Xin Mo, Pinghui Huang, Zhengtao Zeng, Qiyu Shi, Shaochen Qin, Xuejian Yu, Zhaoxi Luo, Chenxing Ding, Ye Liu, Yun-Pei Shi, Ruosong Wang, Zhenyu Bore, Sigbjørn Løland Chang, Junhan Deng, Zhe Ding, Zhaohan Han, Siyuan Jiang, Wanrun Ke, Guolin Liu, Zhaoqing Lu, Denghui Muraoka, Koki Oliaei, Hananeh Singh, Anurag Kumar Que, Haohui Xu, Weihong Xu, Zhangmancang Zhuang, Yong-Bin Dai, Jiayu Giese, Timothy J. Jia, Weile Xu, Ben York, Darrin M. Zhang, Linfeng Wang, Han School of Artificial Intelligence and Data Science Unversity of Science and Technology of China Hefei China AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing100871 China University of Chinese Academy of Sciences Beijing China Baidu Inc. Beijing China Department of Computer Science University of Toronto TorontoON Canada Department of Chemistry Princeton University PrincetonNJ08540 United States University of Chinese Academy of Sciences Beijing100871 China State Key Laboratory of Physical Chemistry of Solid Surfaces iChEM College of Chemistry and Chemical Engineering Xiamen University Xiamen361005 China College of Integrated Circuits Hunan University Changsha410082 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center for Smart Materials and Device Integration School of Material Science and Engineering Wuhan University of Technology Wuhan430070 China College of Science National University of Defense Technology Changsha410073 China Hunan Key Laboratory of Extreme Matter and Applications National University of Defense Technology Changsha410073 China ByteDance Research Beijing100098 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Theoretical and Computational Photochemistry of Ministry of Education College of Chemistry Beijing Normal University Beijing100875 China Department of Geosciences Princeton University PrincetonNJ08544 United States Department of Applied Physics and Applied Mathematics Columbia University New YorkNY10027 United States IKKEM Fujian Xiamen361005 China Graduate

In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for molecular dynamics (MD) simulations and related applications. These packages, typically built on specific machine learning frameworks such as TensorFlow, PyTorch, or JAX, face integration challenges when advanced applications demand communication across different frameworks. The previous TensorFlow-based implementation of DeePMD-kit exemplified these limitations. In this work, we introduce DeePMD-kit version 3, a significant update featuring a multi-backend framework that supports TensorFlow, PyTorch, JAX, and PaddlePaddle backends, and demonstrate the versatility of this architecture through the integration of other MLPs packages and of Differentiable Molecular Force Field. This architecture allows seamless backend switching with minimal modifications, enabling users and developers to integrate DeePMD-kit with other packages using different machine learning frameworks. This innovation facilitates the development of more complex and interoperable workflows, paving the way for broader applications of MLPs in scientific research. Copyright © 2025, The Authors. All rights reserved.

关键词： Molecular dynamics

来源：评论

学校读者我要写书评

暂无评论

Electromagnetic spectrum chipless radio frequency identification:A review

引用

Digital Communications and Networks 2020年第3期6卷 377-388页

作者： Qingjuan Li Rana Sadaf Anwar Huansheng Ning Jun Wang Lingfeng Mao School of Computer and Communication Engineering University of Science and TechnologyBeijing100083China Beijing Engineering Research Center for Cyberspace Data Analysis and Applications Beijing100083China Beijing Electro-Mechanical Engineering Institute Beijing100074China

Over the past few years,Radio Frequency IDentification(RFID)has stridden significantly due to its adoption in many business and daily life *** empowers end-to-end and item-by-item visibility,letting the customers or decision-makers effectively trail the personnel and resources for improved *** research and development in this area have transformed the inexpensive,miniaturized technology of RFIDs without chip *** Radio Frequency IDentification(CRFID)is a unique wireless technology based on radar principle to sense,identify,and track the *** are simplified and miniaturized tags of traditional RFID,which can widely be used in small and cheap objects/applications in our daily *** paper reviews the definition,principle,and most recent development in *** on the reported researches,the ElectroMagnetic Spectrum(EMS)method is typical,which has been concerned by many RFID ***,this paper reviews different types of EMS CRFID tag and classifies these tags based on structure design emphasizing their significant geometries in comparison with performance *** and coding methods of the EMS CRFID are also elaborated,contrasting the tag capacity and coding ***,we briefly summarize the challenges and limitations in this emerging field and look forward to the prospects of future CRFID.

关键词： CRFID Electromagnetic Tag structure Coding

来源：评论

学校读者我要写书评

暂无评论

A Class of Explicit Parallel Multistep Runge-Kutta Methods

引用

Journal of Systems Engineering and Electronics 1993年第4期4卷 64-72页

作者： Xie Yajun and Liu Deguibeijing institute of computer Application and simulation technology P.O.Box. 3929, beijing 100854, China Beijing Institute of Computer Application and Simulation Technology P.O. Box. 3929 Beijing 100854 China

In this paper, a rather general class of explicit parallel multistep Runge-Kutta methods is constructed for solving initial value problem of ordinary differential equations. Also, the corresponding convergence and stability are analysed. Several parallel computational formulae are given. The numerical experiments, including accuracy, speedup, and efficiency tests show that the methods are efficient.

关键词： Runge-Kutta method Initial value problem.

来源：评论

学校读者我要写书评

暂无评论

A survey on software defined networking and its applications

引用

Frontiers of computer Science 2015年第6期9卷 827-845页

作者： Yili GONG Wei HUANG Wenjie WANG Yingchun LEI Computer School Wuhan University Wuhan 430072 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor 48109 USA Simulation Training Center Chongqing Communication Institute Chongqing 400035 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

Software defined networking （SDN） achieves network routing management with logically centralized con- trol software that decouples the network data plane from the control plane. This new design paradigm greatly emancipates network innovation. This paper introduces the background of SDN technology with its design principles, explains its differentiation, and summarizes the research efforts on SDN network architecture, components and applications. Based on the observation of current SDN development, this paper ana- lyzes the potential driving forces of SDN deployment and its future trend.

关键词： software defined networking （SDN） OpenFlow

来源：评论

学校读者我要写书评

暂无评论

Prediction of Alpine Meadow Degradation in the source of Sanjiangyuan area based on the K-means and DNN Fusion Model 2

Prediction of Alpine Meadow Degradation in the source of San...

引用

2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing, AIAHPC 2022

作者： Li, Chunmei Ma, Yihan Zhang, Zhehao Jiang, JieTeng Jin, Yunpeng Li, Kai Li, Haiyang Department of Computer Technology and Applications Qinghai University Xining810016 China Beijing Electronic Science and Technology Institute Beijing100070 China

ISBN: (纸本)9781510657717

Alpine meadow in Sanjiangyuan area plays an important role in the ecological situation of China. However, in recent years, the grassland vegetation in this area has been seriously degraded due to the impact of climate and human activities. Reasonable prediction of grassland degradation is a prerequisite to protect the ecological environment of the area, but the traditional manual measurement method is time-consuming and inefficient. Specifically, in order to solve the problem of data shortage, we first spent 2-3 months on-the-spot measurement to obtain more than 150,000 pieces of data for supervised learning, and divided them into training sets and test sets. In the training phase, the DNN model and K-mean algorithm are used to preprocess the data in parallel, and then the trained model is used to predict, which greatly shortens the test time. Finally, several experiments are carried out in the test set to verify the validity of the model. The average prediction accuracy is more than 99%, and AUC index is more than 95%. It is indirectly proved that the model can be applied to the prediction of grassland vegetation degradation in Sanjiangyuan area. © 2022 SPIE. All rights reserved.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

A Mathematical Model of Real-Time simulation and the Convergence Analysis on Real-Time Runge-Kutta Algorithms

引用

Journal of Systems Engineering and Electronics 1991年第1期2卷 129-139页

作者： Song Xiaoqiu, Li Bohu, Liu Degui, Yuan Zhaodingbeijing institute of computer Application and simulation technology, P. O. Box 142-213, beijing 100854, China Beijing Institute of Computer Application and Simulation Technology P. O. Box 142-213 Beijing 100854 China

In this paper, a mathematical model of real-time simulation is given, and the problem of convergence on real-time Runge-Kutta algorithms is analysed. At last a theorem on the relation between the order of compensation... 详细信息

关键词： Real-time simulation Runge-Kutta algorithm Convergence analysis.

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：