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

1,211 篇 会议
9 篇 期刊文献

馆藏范围

1,220 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

494 篇 工学
- 384 篇 控制科学与工程
- 244 篇 计算机科学与技术...
- 146 篇 电气工程
- 85 篇 软件工程
- 61 篇 机械工程
- 39 篇 仪器科学与技术
- 17 篇 信息与通信工程
- 16 篇 力学（可授工学、理...
- 12 篇 生物工程
- 11 篇 材料科学与工程（可...
- 11 篇 交通运输工程
- 10 篇 生物医学工程（可授...
- 9 篇 光学工程
- 9 篇 土木工程
- 7 篇 建筑学
- 5 篇 动力工程及工程热...
- 5 篇 电子科学与技术（可...
- 5 篇 化学工程与技术
- 5 篇 石油与天然气工程
- 5 篇 安全科学与工程
100 篇 理学
- 66 篇 数学
- 21 篇 物理学
- 19 篇 统计学（可授理学、...
- 14 篇 生物学
- 13 篇 系统科学
- 6 篇 化学
35 篇 管理学
- 30 篇 管理科学与工程(可...
- 7 篇 工商管理
- 7 篇 图书情报与档案管...
7 篇 医学
- 6 篇 临床医学
3 篇 文学
2 篇 农学
1 篇 法学
1 篇 教育学
1 篇 军事学

主题

165 篇 mathematical mod...
104 篇 predictive model...
93 篇 automation
93 篇 adaptation model...
90 篇 robots
87 篇 computational mo...
82 篇 data models
81 篇 training
61 篇 trajectory
59 篇 analytical model...
58 篇 equations
57 篇 accuracy
55 篇 numerical models
51 篇 approximation me...
48 篇 stability analys...
46 篇 vectors
45 篇 feature extracti...
39 篇 robot sensing sy...
39 篇 control systems
39 篇 estimation

机构

10 篇 faculty of mecha...
9 篇 state key labora...
8 篇 institute of com...
8 篇 school of electr...
8 篇 institute of aut...
6 篇 department of el...
6 篇 silesian tech un...
6 篇 university of ch...
6 篇 univ rostock cha...
5 篇 faculty of elect...
5 篇 chair of mechatr...
5 篇 faculty of elect...
5 篇 institute of aut...
5 篇 institute of aut...
5 篇 systems research...
4 篇 carleton univ de...
4 篇 department of au...
4 篇 department of au...
4 篇 department of au...
4 篇 institute of aut...

作者

13 篇 jerzy baranowski
12 篇 waldemar bauer
8 篇 janusz szpytko
8 篇 rafał stanisławs...
7 篇 aschemann harald
7 篇 marian łukaniszy...
7 篇 krzysztof j. lat...
6 篇 krzysztof gałkow...
6 篇 jarosław figwer
6 篇 wojciech p. hune...
6 篇 baranowski jerzy
6 篇 rauh andreas
6 篇 yang li
6 篇 harald aschemann
5 篇 andreas rauh
5 篇 ignacy duleba
5 篇 szulc katarzyna
5 篇 krzysztof arent
5 篇 krzysztof bartec...
4 篇 rydel marek

语言

1,211 篇 英文
6 篇 中文
3 篇 其他
1 篇 西班牙文

检索条件"任意字段=25th International Conference on Methods and Models in Automation and Robotics"

共 1220 条记录，以下是241-250 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：

Prediction of Overdispersed Count Data Using Real-Time Cluster-Based Discretization of Explanatory Variables 18th

Prediction of Overdispersed Count Data Using Real-Time Clus...

引用

18th international conference on Informatics in Control, automation and robotics, ICINCO 2021

作者： Uglickich, Evženie Nagy, Ivan Department of Signal Processing Institute of Information Theory and Automation of the CAS Pod vodárenskou věží 4 Prague18208 Czech Republic Faculty of Transportation Sciences Czech Technical University Na Florenci 25 Prague11000 Czech Republic

ISBN: (纸本)9783031264733

the chapter focuses on the description of the relationship of the count variable and explanatory Gaussian variables. the cluster-based model is proposed, which is constructed on conditionally independent Gaussian clusters captured in real time using recursive algorithms of the Bayesian mixture estimation theory. the resulting model is expected to be used for predicting count data using real time Gaussian observations. the Poisson distribution of the count data is used as a basic model. However, in reality, count data often do not satisfy the Poisson assumption of equal mean and variance. For this case, five cluster-based Poisson-related models of overdispersed data have been studied. the experimental part of the chapter demonstrates a comparison of the prediction accuracy of the considered models with two theoretical counterparts for the case of weak and strong overdispersion with the help of simulations. the paper reports that the most accurate prediction in average has been provided by the cluster-based Generalized Poisson models. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Poisson distribution

来源：评论

学校读者我要写书评

暂无评论

thÖR-Magni: Comparative Analysis of Deep Learning models for Role-conditioned Human Mtion Prediction

THÖR-Magni: Comparative Analysis of Deep Learning Models fo...

引用

2023 IEEE/CVF international conference on Computer Vision Workshops, ICCVW 2023

作者： De Almeida, Tiago Rodrigues Rudenko, Andrey Schreiter, Tim Zhu, Yufei Maestro, Eduardo Gutierrez Morillo-Mendez, Lucas Kucner, Tomasz P. Martinez Mozos, Oscar Magnusson, Martin Palmieri, Luigi Arras, Kai O. Lilienthal, Achim J. Örebro University Sweden Corporate Research Robert Bosch GmbH Stuttgart Germany Aalto University Mobile Robotics Group Department of Electrical Engineering and Automation Finland Finnish Center for Artificial Intelligence Fcai Finland

ISBN: (纸本)9798350307443

Autonomous systems, that need to operate in human environments and interact with the users, rely on understanding and anticipating human activity and motion. Among the many factors which influence human motion, semantic attributes, such as the roles and ongoing activities of the detected people, provide a powerful cue on their future motion, actions, and intentions. In this work we adapt several popular deep learning models for trajectory prediction with labels corresponding to the roles of the people. To this end we use the novel thÖR-Magni dataset, which captures human activity in industrial settings and includes the relevant semantic labels for people who navigate complex environments, interact with objects and robots, work alone and in groups. In qualitative and quantitative experiments we show that the role-conditioned LSTM, Transformer, GAN and VAE methods can effectively incorporate the semantic categories, better capture the underlying input distribution and therefore produce more accurate motion predictions in terms of Top-K ADE/FDE and log-likelihood metrics. © 2023 IEEE.

关键词： deep learning human motion dataset human trajectory prediction

来源：评论

学校读者我要写书评

暂无评论

Trajectory Tracking for UAVs: An Interpolating Control Approach

Trajectory Tracking for UAVs: An Interpolating Control Appro...

引用

international conference on methods and models in automation and robotics (MMAR)

作者： Zdeněk Bouček Miroslav Flídr Ondřej Straka New Technologies for the Information Society Research Center & Department of Cybernetics Faculty of Applied Sciences University of West Bohemia Pilsen Czechia

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

Building on our previous work, this paper investigates the effectiveness of interpolating control (IC) for real-time trajectory tracking. Unlike prior studies that focused on trajectory tracking itself or UAV stabilization control in simulation, we evaluate the performance of a modified extended IC (eIC) controller compared to Model Predictive Control (MPC) through both simulated and laboratory experiments with a UAV. the evaluation focuses on the computational efficiency and control quality of real-time UAV trajectory tracking compared to previous IC applications. the results demonstrate that the eIC controller achieves competitive performance compared to MPC while significantly reducing computational complexity, making it a promising alternative for resource-constrained platforms.

关键词： Interpolation Trajectory tracking Computational modeling Predictive models Autonomous aerial vehicles Real-time systems Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

Development of criteria for the selection and investigation of PEMFC stacks as components of hybrid energy sources for UGVs

Development of criteria for the selection and investigation ...

引用

international conference on methods and models in automation and robotics (MMAR)

作者： Mikołaj Zarzycki Magdalena Dudek Andrzej Raźniak Andrzej Masłowski Arkadiusz Perski Rafał Czupryniak Mobile Systems Department Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP Warsaw Poland Faculty of Energy and Fuels AGH University of Krakow Krakow Poland Science Department Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP Warsaw Poland

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

this paper focuses on developing the methodology for selecting polymer exchange membrane fuel cell (PEMFC) stacks as the main energy source to supply an unmanned ground vehicle (UGV). the first part of the paper presents the experimental investigations of the electrical load profiles recorded for the PIAP PATROL UGV during both vehicle movement and manipulator operation. the numerical simulation of the energy demand profile was performed for various terrains and roads. the 2 kW PEMFC stack is proposed and investigated as an electrochemical energy source to supply the medium-sized tracked vehicle. In addition, the preliminary test of the 2 kW PEMFC stack performance in powering the electric motor while traveling is demonstrated.

关键词： Tracking Roads Hydrogen Fuel cells Numerical simulation Manipulators Land vehicles

来源：评论

学校读者我要写书评

暂无评论

Improved Model of the PWM Driven 3/2 Solenoid Valve Pneumatic System for Soft Pneumatic Actuators

Improved Model of the PWM Driven 3/2 Solenoid Valve Pneumati...

引用

international conference on methods and models in automation and robotics (MMAR)

作者： Krisjanis Visnevskis Shakiru Olajide Kassim Maria Elena Giannaccini Vahid Vaziri Sumeet S. Aphale Artificial Intelligence Robotics and Mechatronic Systems Group (ARMS) Centre for Advanced Dynamic Research (CADR) School of Engineering University of Aberdeen Aberdeen UK

Soft pneumatic actuators (SPAs) are the building blocks of soft robots that are characterized by their inherent compliance, high degree of dexterity, and safety in human-robot interaction. the non-linear dynamics of the pneumatic system and elastomeric material deformation in SPAs presents a challenge in developing control systems for these actuators. therefore simulations are often used to aid in the design and validation of new control schemes for SPAs. Pressure control is an important aspect of achieving precise motion control of the *** paper presents an improved simulation model for a SPA pneumatic system that utilizes a 3/2 solenoid valve. the model was implemented using the SimScape Fluids toolbox in MATLAB. the proposed simulation model builds on existing models by accounting for the 3/2 solenoid valve dynamics. the open-loop response of the improved model was compared with the previous model and experimental data. the results showed that the improved model was more representative of the real-world performance of the system under open-loop control.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research on the Role of MCP Regularization in Bearing Fault Diagnosis

Research on the Role of MCP Regularization in Bearing Fault ...

引用

robotics, Control and automation (ICRCA), international conference on

作者： Hao Tian Jiang Ting Zhang Shanghai University of Engineering Science School of Mechanical and Automotive Engineering Shanghai China

ISBN: (数字)9798331544577

ISBN: (纸本)9798331544584

In practical applications, the collection of bearing fault data often includes a significant number of invalid samples. When these data are used to train deep learning-based bearing fault diagnosis models, there is a risk of overfitting. Traditional methods, such as L1 and L2 regularization, are commonly employed to mitigate this risk. this paper proposes a novel regularization method based on the Minimax Concave Penalty (MCP) for deep learning models. Experimental validation was conducted using bearing fault data to train these models. Among the three groups of experiments, the highest average fault diagnosis accuracy after MCP regularization was 0.972. the results indicate that the MCP method demonstrates asymptotic normality in updating network weights and exhibits dynamic adaptability in penalizing the loss function. therefore, the method proposed in this paper offers superior overfitting prevention in deep learning applications compared to L1 and L2 regularization.

关键词： Deep learning Fault diagnosis Adaptation models Accuracy Computational modeling Prevention and mitigation Stability analysis Optimization Robots Overfitting

来源：评论

学校读者我要写书评

暂无评论

Application of Bayes theory Model to Determine the Optimal Variant of Technological Process for Production of MEMS Components

Application of Bayes Theory Model to Determine the Optimal V...

引用

international conference on Perspective Technologies and methods in MEMS Design (MEMSTECH)

作者： Igor Nevliudov Sofiia Khrustalova Olena Chala Andrii Sliusar Department of Computer-Integrated Technologies Automation and Robotics Kharkiv National University of Radio Electronic Kharkiv Ukraine

Bayesian model is proposed for determining the optimal variant of the MEMS component manufacturing technological process A software tool has been developed to automate this process Calculations are performed using the... 详细信息

ISBN: (数字)9798350378627

ISBN: (纸本)9798350378634

关键词： Micromechanical devices Solid modeling Costs Design methodology Production Data models Bayes methods

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence models for prediction of passengers’ flow in rail transport

Artificial Intelligence models for prediction of passengers...

引用

international conference on methods and models in automation and robotics (MMAR)

作者： Maciej Szymkowski Włodzimierz Woźniak Bartosz Jura Faculty of Computer Science Białystok University of Technology Białystok Poland Computer Science Research Group Artificial Intelligence Development division Łukasiewicz Research Network – Poznań Institute of Technology Poznań Poland

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

Nowadays, one of the most popular and ecological forms of passengers’ transport is rail. In the last couple of years (especially after COVID-19 pandemic) many more passengers selected this type of transportation rather than cars or even airplanes. It is connected with much higher travel comfort as well as the possibility of effective work on the train. However, due to the higher popularity, one extremely important problem was observed. It is connected with the passengers’ flow that can lead even to traffic. Sometimes it is hard to select an appropriate type of train to effectively serve all the interested people. In this work, we would like to propose not only the survey under the latest AI-based models for prediction of passengers’ pileups but also provide information about possible ideas that will be tested on the real data, collected from one of the trains stations in Poland.

关键词： Rails Surveys COVID-19 Pandemics Biological system modeling Transportation Predictive models

来源：评论

学校读者我要写书评

暂无评论

Real-time Gait Trajectory Prediction Based on Convolutional Neural Network with Multi-head Attention 27

Real-time Gait Trajectory Prediction Based on Convolutional ...

引用

27th international conference on automation and Computing, ICAC 2022

作者： Yin, Jie Xue, Tao Zhang, Tao Tsinghua University Department of Automation Beijing China

ISBN: (数字)9781665498074

ISBN: (纸本)9781665498074

the lower limb exoskeleton can effectively improve the ability of users. Accurate gait trajectory prediction can enhance the effect of lower limb exoskeletons. the current gait trajectory prediction methods have the disadvantages of insufficient prediction accuracy and long calculation time. this paper proposes a convolutional neural network model with multi-head attention to predict the gait trajectory. Compared with the widely used recurrent neural network model, the model we proposed in this paper can predict gait trajectory with higher accuracy and shorter calculation time. the error is reduced by up to 21.3% and the average calculation time is reduced by 62.8%. Based on the proposed model, we design a controller of the lower limb exoskeleton to achieve better effects in mixed gait and eliminate the delay. © 2022 IEEE.

关键词： Neural network models

来源：评论

学校读者我要写书评

暂无评论

Advances in Large Language models for robotics

Advances in Large Language Models for Robotics

引用

IEEE international conference on Mechatronics, robotics and automation (ICMRA)

作者： Zongshuai Qi Xiao Jing China Telecom Research Institute Beijing China

ISBN: (数字)9798350352474

ISBN: (纸本)9798350352481

the application of large language models (LLMs) in robotics has garnered significant attention due to their potential to enhance robot understanding, reasoning, and interaction capabilities. this paper provides a comprehensive overview of the current state-of-the-art in integrating LLMs with robotic systems. We categorize and analyze existing methods from both task-oriented and model-oriented perspectives. Task-oriented applications include multi-object rearrangement, representation learning, error correction, and navigation, while model-oriented approaches encompass fine-tuning, direct use, and developing new specialized models. Furthermore, we propose a novel robot embodied intelligence framework that integrates LLMs with the Robot Operating System (ROS) to enable natural language understanding, task planning, execution, and user interaction. this framework aims to enhance robot autonomy and adaptability in unstructured environments, paving the way for new possibilities in real-world robot applications. We discuss the advantages and challenges associated with each approach and provide insights into future research directions in this rapidly evolving domain.

关键词： Representation learning Adaptation models Mechatronics Navigation Large language models Operating systems Natural language processing Planning Error correction Robots

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122页 << < 21 22 23 24 25 26 27 28 29 30 > >>

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：