检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

38 篇 会议
2 篇 期刊文献

馆藏范围

40 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

24 篇 工学
- 15 篇 计算机科学与技术...
- 13 篇 软件工程
- 10 篇 信息与通信工程
- 9 篇 生物工程
- 8 篇 控制科学与工程
- 5 篇 交通运输工程
- 4 篇 材料科学与工程（可...
- 3 篇 机械工程
- 2 篇 冶金工程
- 2 篇 石油与天然气工程
- 1 篇 光学工程
- 1 篇 动力工程及工程热...
- 1 篇 电气工程
- 1 篇 建筑学
- 1 篇 土木工程
- 1 篇 化学工程与技术
- 1 篇 航空宇航科学与技...
- 1 篇 农业工程
- 1 篇 环境科学与工程（可...
- 1 篇 生物医学工程（可授...
16 篇 理学
- 9 篇 生物学
- 5 篇 数学
- 2 篇 物理学
- 1 篇 化学
- 1 篇 地质学
- 1 篇 系统科学
3 篇 管理学
- 2 篇 管理科学与工程(可...
- 2 篇 图书情报与档案管...
2 篇 法学
- 2 篇 法学

主题

8 篇 neural networks
7 篇 deep neural netw...
6 篇 training
5 篇 kalman filters
5 篇 navigation
3 篇 autonomous vehic...
2 篇 three-dimensiona...
2 篇 aircraft
2 篇 process control
2 篇 tensors
2 篇 inertial navigat...
2 篇 industrial engin...
2 篇 machine learning...
2 篇 streaming media
2 篇 atmospheric mode...
1 篇 fuzzy logic
1 篇 head
1 篇 dynamical system...
1 篇 hierarchical sys...
1 篇 deep learning

机构

16 篇 laboratory of in...
12 篇 laboratory of cy...
11 篇 v.a. trapeznikov...
8 篇 v.a. trapeznikov...
7 篇 laboratory of in...
3 篇 laboratory of cy...
2 篇 it control komso...
2 篇 komsomolsk-on-am...
2 篇 komsomolsk-on-am...
2 篇 v.a. trapeznikov...
2 篇 v.a. trapeznikov...
1 篇 electronics knas...
1 篇 v.a. trapeznikov...
1 篇 v.a. trapeznikov...
1 篇 department of in...
1 篇 department contr...
1 篇 doctor of techni...
1 篇 knasu department...
1 篇 candidate of tec...
1 篇 far east branch ...

作者

10 篇 amosov oleg s.
9 篇 amosova s.g.
9 篇 amosov o.s.
9 篇 amosova svetlana...
8 篇 oleg s. amosov
8 篇 svetlana g. amos...
6 篇 o.s. amosov
5 篇 s.g. amosova
3 篇 ivanov y.s.
3 篇 krivosheev oleg ...
2 篇 zhiganov s.v.
2 篇 y.s. ivanov
2 篇 iochkov i.o.
2 篇 s. g. amosova
1 篇 zhilin sergey g.
1 篇 i.o. iochkov
1 篇 oleg i. krivoshe...
1 篇 d.s. magola
1 篇 bogdanova nina a...
1 篇 o. s. amosov

语言

33 篇 英文
7 篇 其他

检索条件"机构=Laboratory of Intellectual Control Systems and Modelling"

共 40 条记录，以下是21-30 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Joint Navigation Method for Unmanned Vehicles Group Located in Different Physical Environments

Joint Navigation Method for Unmanned Vehicles Group Located ...

引用

International Russian Automation Conference (RusAutoCon)

作者： Oleg S. Amosov Svetlana G. Amosova Konstantin A. Kulagin Laboratory of Intellectual Control Systems and Modelling V.A. Trapeznikov Institute of Control Sciences of RAS Moscow Russia Laboratory of Cyber-Physical Systems V.A. Trapeznikov Institute of Control Sciences of RAS Moscow Russia Department Control Tasks in Digital Cartography V.A. Trapeznikov Institute of Control Sciences of RAS Moscow Russia

ISBN: (数字)9798350349818

ISBN: (纸本)9798350349825

A method for joint navigation of unmanned vehicles a group located within different physical environments is proposed. The formulation and solution of the problem regarding joint navigation of an unmanned vehicles (UV) group has been provided as follows: a model for integrating navigation information from various sources and meters to develop each device exact positioning has been provided along with an algorithm for estimating coordinates in a plane and directing a device movement with an inertial navigation system. An illustrative example has been given. A virtual training ground with terrain was proposed to simulate the navigation of autonomous unmanned vehicles (AUVs) operating within different environments.

关键词： Training Meters Performance evaluation Automation Navigation Virtual environments Inertial navigation Sensors Kalman filters Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Optimal Estimation Using Deep Neural Networks Applied to Navigation and Motion control 13

Optimal Estimation Using Deep Neural Networks Applied to Nav...

引用

13th Multiconference on control Problems, MCCP 2020

作者： Amosov, O.S. Amosova, S.G. Laboratory of Intellectual Control Systems and Modelling V.A. Trapeznikov Institute of Control Sciences of Ras Moscow Russia Laboratory of Cyber-physical Systems V.A. Trapeznikov Institute of Control Sciences of Ras Moscow Russia

The critical analysis is given concerning the current state of using deep neural networks with convolutional and recurrent layers, a recurrent network of Long Short-Term Memory, Gated Recurrent Units for estimation tasks in relation to navigation and motion control. A comparison of neural network and traditional methods is given for understanding and explaining their functioning. The differences, advantages and disadvantages of deep neural networks in relation to solving estimation problems are revealed. The possibility of machine training with reinforcement is analyzed for estimation tasks in navigation and motion control in real time. The prospects of using neural networks in the processing of navigation data, as well as for the tasks of adaptive estimation and trajectory tracking, are formulated. © Published under licence by IOP Publishing Ltd.

关键词： Navigation

来源：评论

学校读者我要写书评

暂无评论

Method for Automatic Recognition of Defects in Aircraft Riveted Joints Using Wavelet Transform and Neural Network

Method for Automatic Recognition of Defects in Aircraft Rive...

引用

Digital Signal Processing and its Applications (DSPA), International Conference on

作者： Oleg S. Amosov Svetlana G. Amosova Laboratory of Intellectual Control Systems and Modelling V.A. Trapeznikov Institute of Control Sciences of RAS Moscow Russia Laboratory of Cyber-physical Systems V.A. Trapeznikov Institute of Control Sciences of RAS Moscow Russia

This paper presents the method for automatic recognition of defects in aircraft riveted joints. The proposed method consists of three steps: pre-processing, feature extraction and classification. Feature extraction was then performed using discrete wavelet transform. Classification was performed using deep neural network. An example of solving the problem of detecting and recognizing a defect in rivets is considered.

关键词： Deep learning Neural networks Signal processing algorithms Digital signal processing Feature extraction Wavelet packets Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Machine Learning with Reinforcement for Optimal and Adaptive Estimation Problems in Navigation Applications

Machine Learning with Reinforcement for Optimal and Adaptive...

引用

Saint Petersburg International Conference on Integrated Navigation systems (ICINS)

作者： O. S. Amosov S. G. Amosova Laboratory of Intellectual Control Systems and Modelling V.A. Trapeznikov Institute of Control Sciences of RAS Moscow Russia Laboratory of Cyber-Physical Systems V.A. Trapeznikov Institute of Control Sciences of RAS Moscow Russia

The statement and solution of the nonlinear estimation problem by the minimization of the root-mean-square criterion based on neural algorithms are given both within the Bayesian approach using a training set for supervised learning in off-line mode and within the framework of the least squares method in the presence of a measurement equation for the reinforcement learning on-line mode. An illustrative example is considered.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Mathematical modelling of forming processes in the conditions of uniaxial compaction of powder wax-like materials 6

Mathematical modelling of forming processes in the condition...

引用

6th International Conference on Information Technologies and High-Performance Computing, ITHPC 2021

作者： Zhilin, Sergey G. Komarov, Oleg N. Bogdanova, Nina A. Amosov, Oleg S. Far East Branch of Russian Academy of Sciences Institute of Mechanical Engineering and Metallurgy Komsomolsk-on-Amur Russia Laboratory of Intellectual Control Systems and Modelling V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia

Mechanical treatment of castings is primarily used in manufacturing of critical parts with high dimensional and geometric accuracy. Investment casting can be used to reduce the specific content of metal and production time. Casting defects are the result of thermophysical impact at various stages of technological process and usually reduce casting accuracy. Forming investment patterns by compacting wax-like powder helps to rectify shrinkage cavities which increases pattern accuracy by 1-2 tolerance grades. In a number of cases the geometry of such pressings is distorted as the result of pressing overcompaction due to material's elastic response. The search for an adequate mathematical model of wax-like powder material compaction process determines the relevance of using finite element method to predict stress-strain state of pressings. The paper presents a comparative analysis of design values and experiment results. © 2021 Copyright for this paper by its authors.

关键词： Geometry

来源：评论

学校读者我要写书评

暂无评论

Technical Writing

引用

IEEE control systems MAGAZINE 2019年第5期39卷 3-4页

作者： How, Jonathan P. Laboratory of Intellectual control systems and modelling Academy of Sciences Moscow Russia

Presents the introductory editorial for this issue of the publication.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Detection and Recognition Simulation of Abnormal Behavior of Dynamic systems 13

Detection and Recognition Simulation of Abnormal Behavior of...

引用

13th International Conference Management of Large-Scale System Development, MLSD 2020

作者： Amosov, Oleg S. Amosova, Svetlana G. V.A. Trapeznikov Institute of Control Sciences of Ras Laboratory of Intellectual Control Systems and Modelling Moscow Russia V.A. Trapeznikov Institute of Control Sciences of Ras Laboratory of Cyber-physical Systems Moscow Russia

ISBN: (纸本)9781728110943

The problem of evaluating the emergent properties of a system and detecting and recognizing the occurrence of anomalies in the behavior of a dynamic system is formulated. To solve these problems, fuzzy cognitive modeling and a set of deep neural networks are proposed. An example of recognizing an anomaly in the behavior of processes in the airfield infrastructure is being considered. © 2020 IEEE.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Adaptive Estimation of the Processes Having Disorders in Navigation Applications Using Machine Learning

Adaptive Estimation of the Processes Having Disorders in Nav...

引用

Saint Petersburg International Conference on Integrated Navigation systems (ICINS)

The statement of the problem of adaptive estimation of the processes having disorders is presented in the paper. The traditional approach and the neural network approach are used to solve the task. In the first of them, a multi-alternative method based on the Kalman filter bank is used to solve the estimation problems. The alternative approach uses a bank of neural network algorithms. The example of adaptive estimation of processes with disorders is considered in relation to trajectory tracking of a maneuvering object.

关键词： Machine learning algorithms Trajectory tracking Navigation Neural networks Process control Filter banks Machine learning

来源：评论

学校读者我要写书评

暂无评论

Selecting Architecture and Parameters of Deep Neural Networks for Computer Attack Classification

Selecting Architecture and Parameters of Deep Neural Network...

引用

2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020

作者： Amosov, O.S. Amosova, S.G. Magola, D.S. Laboratory of Intellectual Control Systems and Modelling V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia Komsomolsk-on-Amur State University Network and System Administration Department Komsomolsk-on-Amur Russia

ISBN: (纸本)9781728169514

The article states a problem of a multiclass network classification of computer attacks. To solve it, the authors consider an option of applying deep neural networks. For this research, the authors selected the architecture of a deep neural network based on the strategy combining a set of convolution and recurrent LSTM layers. The research suggests optimizing the neural network parameters on the basis of a genetic algorithm. The authors present the simulation results that show an opportunity to solve the task of network classification in real time. © 2020 IEEE.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Face Video Tracking Using Deep Neural Networks

Face Video Tracking Using Deep Neural Networks

引用

2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020

作者： Amosov, O.S. Amosova, S.G. Ivanov, Y.S. Zhiganov, S.V. Laboratory of Intellectual Control Systems and Modelling V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia Komsomolsk-on-Amur State University Department of Industrial Electronics Komsomolsk-on-Amur Russia It Control Komsomolsk-on-Amur State University Komsomolsk-on-Amur Russia

ISBN: (纸本)9781728169514

The computational method of the face recognition in a continuous video stream using deep neural networks is offered, that is effective in terms of accuracy and high-speed performance. Adapted architectures of deep neural networks are proposed: the modified MobileNet v2 neural network and the original dual network for identifying a person by face image. The original databases for neural networks are developed. Natural experiments are made, and the characteristics of accuracy and speed of problem solutions were evaluated. To solve the problems video tracking of persons in real time the software modules of the intelligent access control system in Python are developed. © 2020 IEEE.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共4页 << < 1 2 3 4 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：