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

24,537 篇 会议
162 篇 期刊文献
56 册 图书
1 篇 学位论文
1 篇 科技报告

馆藏范围

24,757 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

10,118 篇 工学
- 6,328 篇 控制科学与工程
- 4,098 篇 计算机科学与技术...
- 2,652 篇 软件工程
- 2,145 篇 电气工程
- 1,863 篇 机械工程
- 1,144 篇 仪器科学与技术
- 735 篇 信息与通信工程
- 587 篇 生物工程
- 473 篇 生物医学工程（可授...
- 426 篇 光学工程
- 402 篇 力学（可授工学、理...
- 388 篇 电子科学与技术（可...
- 262 篇 化学工程与技术
- 250 篇 材料科学与工程（可...
- 250 篇 交通运输工程
- 244 篇 动力工程及工程热...
- 214 篇 土木工程
- 202 篇 建筑学
- 181 篇 安全科学与工程
3,068 篇 理学
- 1,763 篇 数学
- 903 篇 物理学
- 643 篇 生物学
- 582 篇 统计学（可授理学、...
- 482 篇 系统科学
- 229 篇 化学
1,223 篇 管理学
- 958 篇 管理科学与工程(可...
- 310 篇 工商管理
- 306 篇 图书情报与档案管...
328 篇 医学
- 287 篇 临床医学
- 205 篇 基础医学(可授医学...
122 篇 经济学
106 篇 法学
87 篇 农学
53 篇 教育学
27 篇 文学
16 篇 军事学
13 篇 艺术学
1 篇 哲学

主题

2,475 篇 predictive model...
1,994 篇 robots
1,825 篇 robotics and aut...
1,735 篇 computational mo...
1,713 篇 automation
1,645 篇 data models
1,581 篇 robot sensing sy...
1,488 篇 analytical model...
1,401 篇 adaptation model...
1,379 篇 training
1,164 篇 accuracy
1,141 篇 mathematical mod...
1,099 篇 trajectory
1,046 篇 mobile robots
914 篇 feature extracti...
840 篇 robustness
838 篇 robot kinematics
793 篇 control systems
718 篇 solid modeling
700 篇 uncertainty

机构

179 篇 university of ch...
143 篇 school of artifi...
111 篇 robotics institu...
87 篇 school of automa...
84 篇 institute of aut...
72 篇 shenyang institu...
70 篇 institutes for r...
68 篇 the robotics ins...
68 篇 school of electr...
63 篇 state key labora...
61 篇 school of mechat...
49 篇 department of au...
49 篇 department of au...
48 篇 state key labora...
46 篇 school of automa...
44 篇 school of mechan...
42 篇 robotics institu...
39 篇 school of automa...
32 篇 school of automa...
29 篇 carnegie mellon ...

作者

37 篇 secchi cristian
34 篇 yuechao wang
32 篇 yun-hui liu
31 篇 cristian secchi
29 篇 shugen ma
28 篇 lining sun
24 篇 xiang li
22 篇 jian wang
22 篇 jianda han
22 篇 fabio ramos
20 篇 xinyu wu
20 篇 wu xinyu
20 篇 daniela rus
19 篇 tomizuka masayos...
19 篇 wei li
19 篇 levine sergey
18 篇 c. laugier
18 篇 jie zhao
18 篇 chen chen
18 篇 dinesh manocha

语言

24,428 篇 英文
245 篇 其他
92 篇 中文
2 篇 西班牙文
1 篇 俄文

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

共 24757 条记录，以下是4621-4630 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：

Parameter Estimation of Combinational Circuits Using Machine Learning methods

Parameter Estimation of Combinational Circuits Using Machine...

引用

international Russian automation conference (RusAutoCon)

作者： A. A. Ziazetdinov V. V. Zunin I. I. Romanova HSE University Moscow Russian Federation

ISBN: (数字)9798350349818

ISBN: (纸本)9798350349825

This article presents contemporary approaches to the application of machine learning methods for the analysis of combinational circuit parameters. It outlines the main challenges associated with the use of traditional circuit analysis methods, such as high computational resource and time requirements. the emphasis is placed on the analysis and identification of issues with existing parameter evaluation methods. Additionally, various machine learning algorithms are introduced, including graph neural networks and transformers, which have demonstrated promising results in related fields. Special attention is also given to the analysis of existing datasets and benchmarks. Algorithms for the generation of combinational circuits, aimed at training neural networks, are discussed. the results of the research have the potential to assist ASIC developers and manufacturers optimize the design process and ensure more efficient use of computing resources.

关键词： Training Analytical models Machine learning algorithms Parameter estimation Machine learning Predictive models Transformers Graph neural networks Combinational circuits Integrated circuit modeling

来源：评论

学校读者我要写书评

暂无评论

A Review: Analyzing Risk Factors and Prediction for Chronic Kidney Disease using Machine and Deep Learning Techniques 2

A Review: Analyzing Risk Factors and Prediction for Chronic ...

引用

2nd international conference on automation, Computing and Renewable Systems, ICACRS 2023

作者： Busi, Ramya Asa Latha Meka, James Stephen Prasad Reddy, P.V.G.D. Dept of CS&SE TDR-HUB Andhra University Visakhapatnam India TDR-HUB Andhra University Visakhapatnam India Dept of CS&SE Andhra University Visakhapatnam India

ISBN: (纸本)9798350340235

Chronic nephritic illness is another name for chronic kidney disease (CKD). It outlines limitations that impact your kidneys and lower your chances of maintaining good health. Numerous complications, such as elevated blood levels, weak bones, anemia (low blood count), and nerve damage, will be a problem. It is usually possible to prevent chronic uropathy from worsening by early identification and treatment. Between 4.902 and 7.083 million people worldwide are expected to have chronic kidney disease (CKD), requiring renal replacement treatment. The cost-effectiveness of disease prevention measures should be assessed in light of the resources and economic development of the local community. This study covers the research done over the last five years (2019–2023) on machine learning (ML) and deep learning (DL)-based techniques for exact CKD predictions. The study concludes that quick advancements in sensing technologies, machine learning, and deep learning will offer comprehensive, sensible choices for more accurate estimations of CKD prediction. According to projections, CKD will soon require increasingly specialized applications of sensor platforms, ML, and DL techniques, the integration of various sensor modalities with expert knowledge, and the development of hybrid models that combine various ML and DL techniques. This review demonstrates how knowledge-based CKD prediction can sustainably improve products' productivity and quality. © 2023 IEEE.

关键词： Chronic kidney disease dataset deep learning machine learning methods prediction review

来源：评论

学校读者我要写书评

暂无评论

Uncertainty-aware Non-linear Model Predictive Control for Human-following Companion Robot

Uncertainty-aware Non-linear Model Predictive Control for Hu...

引用

IEEE international conference on robotics and automation (ICRA)

作者： Sekiguchi, Shunichi Yorozu, Ayanori Kuno, Kazuhiro Okada, Masaki Watanabe, Yutaka Takahashi, Masaki Keio Univ Sch Sci Open & Environm Syst Grad Sch Sci & Technol Kohoku Ku Yokohama Kanagawa 2238522 Japan EQUOS RES Co Ltd Mikawa Anjo Minamimachi Anjo Aichi 4460058 Japan Keio Univ Fac Sci & Technol Dept Syst Design Engn Kohoku Ku Yokohama Kanagawa 2238522 Japan

ISBN: (纸本)9781728190778

For a companion robot that follows a person as an assistant, predicting human walking is important to produce a proactive movement that is helpful to maintain an appropriate area decided by the human personal space. However, fully trusting the prediction may result in obstructing human walking because it is not always accurate. Hence, we consider the estimation of uncertainty (i.e., entropy) of the prediction to enable the robot to move without causing overconfident motion and without being late for the person it follows. To consider this uncertainty of the prediction to the controller, we introduce a reliability value that changes based on the entropy of the prediction. This value expresses the extent the controller should trust the prediction result, and it affects the cost function of our controller. We propose an uncertainty-aware robot controller based on nonlinear model predictive control to realize natural human-followings. We found that our uncertainty-aware control system can produce an appropriate robot movement, such as not obstructing the human walking and avoiding delay, in both simulations using actual human walking data and real-robot experiments.

关键词： Legged locomotion Uncertainty Prediction methods Control systems Entropy Trajectory Delays

来源：评论

学校读者我要写书评

暂无评论

Milling Tool Wear Estimation Using Machine Learning with Feature Extraction Approach

Milling Tool Wear Estimation Using Machine Learning with Fea...

引用

MIT Art, Design and Technology School of Computing international conference (MITADTSoCiCon)

作者： Aarya Misal Hrishikesh Karandikar Sameer Sayyad Arunkumar Bongale Satish Kumar Vivek Warke Dept. of Robotics and Automation Symbiosis Institute of Technology Pune India

ISBN: (数字)9798350362879

ISBN: (纸本)9798350362886

A cutting tool in any milling operation eventually becomes less efficient due to wear, which could result in reduction of quality and dimensional accuracy of the product during manufacturing. Precise and continuous monitoring is required to avoid these issues in machining. Manual inspection and arbitrary assessment have traditionally been used to identify faults and categorise machine tool wear. However, this method is time consuming and is prone to errors. The purpose of this study is to offer more effective, reliable, and accurate methods to predict tool wear using various data-driven machine learning models, which can then be used to determine Remaining Useful Life (RUL) of the milling tool. This paper implements the IEEE NUAA Ideahouse tool wear dataset containing various sensor readings and makes use of the TSFEL (Time Series Feature Extraction Library) for automatic feature extraction in the temporal, spectral and statistical domain, followed by the implementation of PCC (Pearson's Correlation Coefficient) for the selection of features that have a significant impact on tool wear. ML models such as K-Nearest Neighbors, Decision Tree, and Random Forest provides fairly good results with scaled data followed by feature extraction. All the models are evaluated based on MSE, MAPE and R 2 score, by passing unscaled and scaled selected features in temporal, spectral and statistical domains to find out the model best suited for accurate tool wear prediction in order to assist in predictive maintenance.

关键词： Accuracy Time series analysis Milling Manuals Predictive models Feature extraction Manufacturing

来源：评论

学校读者我要写书评

暂无评论

Spatially Nonuniform Filtering and Encoding of Visual Information in a Retinomorphic Hardware System

Spatially Nonuniform Filtering and Encoding of Visual Inform...

引用

international conference on Autonomous Robots and Agents, ICARA

作者： Tatsuya Yamada Hiroyuki Yokota Yuki Hayashida Shinsuke Yasuakwa Dept. Human Intelligence Syst. Kyushu Institute of Technology Kitakyushu Fukuoka JAPAN Dept. Inform. Eng. Grad. Eng. Mie University Tsu Mie JAPAN

ISBN: (数字)9798331509231

ISBN: (纸本)9798331509248

Efficient information processing in biological early-vision systems is thought to rely on spatially nonuniform computations in the central and peripheral visual fields. Inspired by this functional segregation, we developed a digital hardware vision system that integrates two distinct spatiotemporal filters and spike encoders for the central and peripheral regions on a single image sensor plane. The system employs digital processing techniques to emulate graded potential signals and point-process spike outputs, mimicking the functionality of vertebrate retinas. System-level testing on actual hardware equipment verified region-specific response characteristics for the central and peripheral regions. This proposed approach advances the realization of retinomorphic efficient computations in future robotics and embedded vision systems.

关键词： Visualization Image coding Robot vision systems Optimization methods Retina Hardware Spatiotemporal phenomena Computational efficiency Robots Testing

来源：评论

学校读者我要写书评

暂无评论

Whole Body Model Predictive Control with a Memory of Motion: Experiments on a Torque-Controlled Talos

Whole Body Model Predictive Control with a Memory of Motion:...

引用

IEEE international conference on robotics and automation (ICRA)

作者： Dantec, Ewen Budhiraja, Rohan Roig, Adria Lembono, Teguh Saurel, Guilhem Stasse, Olivier Fernbach, Pierre Tonneau, Steve Vijayakumar, Sethu Calinon, Sylvain Taix, Michel Mansard, Nicolas Univ Toulouse CNRS LAAS CNRS Toulouse France Artificial & Nat Intelligence Toulouse Inst Toulouse France PAL Robot Barcelona Spain Idiap Res Inst Martigny Switzerland TOWARD Toulouse France Univ Edinburgh Sch Informat Edinburgh Midlothian Scotland

ISBN: (纸本)9781728190778

This paper presents the first successful experiment implementing whole-body model predictive control with state feedback on a torque-control humanoid robot. We demonstrate that our control scheme is able to do whole-body target tracking, control the balance in front of strong external perturbations and avoid collision with an external object. The key elements for this success are threefold. First, optimal control over a receding horizon is implemented with Crocoddyl, an optimal control library based on differential dynamics programming, providing state-feedback control in less than 10 ms. Second, a warm start strategy based on memory of motion has been implemented to overcome the sensitivity of the optimal control solver to initial conditions. Finally, the optimal trajectories are executed by a low-level torque controller, feedbacking on direct torque measurement at high frequency. This paper provides the details of the method, along with analytical benchmarks with the real humanoid robot Talos. A video of the experiment is available at https://***/videos/watch/cbc25927-337c-4635-a1bc-153b9aeb4135

关键词： State feedback Target tracking Perturbation methods Memory management Optimal control Humanoid robots Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Batch-to-Batch Optimization with Model Adaptation Leveraging Gaussian Processes: The Case of Optogenetically Assisted Microbial Consortia 23

Batch-to-Batch Optimization with Model Adaptation Leveraging...

引用

23rd international conference on Control, automation and Systems, ICCAS 2023

作者： Espinel-Rios, Sebastian Kok, Rudolph Klamt, Steffen Avalos, Jose L. Findeisen, Rolf Analysis and Redesign of Biological Networks Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Princeton University Department of Chemical and Biological Engineering Princeton United States Institute for Automation Engineering Otto von Guericke University Magdeburg Magdeburg Germany Control and Cyber-Physical Systems Laboratory TU Darmstadt Germany

ISBN: (纸本)9788993215274

Microbial consortia are promising biotechnological production systems with the potential to divide complex metabolic pathways into smaller submodules, as well as make products and consume substrates that monocultures cannot. Maintaining optimal cell population levels and preventing mono culture formation challenge bioproduction by microbial consortia. Optogenetics allows for regulating the expression of key growth-regulatory genes through light to modulate cell population levels. Model-based dynamic optimization can determine optimal light trajectories and inoculum sizes that maximize product synthesis while satisfying system constraints, e.g., safety, economic, or technical aspects. Further-more, closed-loop dynamic optimization can address system uncertainty to a certain extent;however, its implementation is challenging due to limited online sensors. Alternatively, here we propose to perform open-loop optimization with batch-to-batch model adaptation based on Gaussian processes for maximizing bioproduction by optogenetically assisted consortia. The proposed approach enables knowledge transfer from existing to new models, improving predictability and optimization performance in each batch while avoiding costly and time-consuming modeling experiments. Compared to closed-loop optimization, this strategy is easier to implement as it does not rely on online monitoring, contributing to the state of the art in optimizing bioproduction by microbial consortia. We outline the applicability of the approach using simulation experiments of an optogenetically assisted consortium for the biosynthesis of the flavonoid naringenin, considering both parameter and model structure uncertainty. © 2023 ICROS.

关键词： Substrates

来源：评论

学校读者我要写书评

暂无评论

Using Economic Iterative Learning Control for Time-Optimal Control of a Redundant Manipulator

Using Economic Iterative Learning Control for Time-Optimal C...

引用

IEEE international conference on automation Science and Engineering (CASE)

作者： Matthijs van de Vosse Tyler W. Toner Maxwell J. Wu Dawn M. Tilbury Kira L. Barton Mechanical Engineering Department Eindhoven University of Technology Eindhoven NL Department of Mechanical Engineering University of Michigan Ann Arbor MI USA Robotics Department University of Michigan Ann Arbor MI USA

Industrial manipulators are deployed for a range of repetitive tasks in cluttered environments in which the robot must rapidly execute safe trajectories. While nominal robot models exist, true dynamic models of deployed manipulators are typically unavailable. This paper addresses the problem of generating dynamically feasible, collision-free, time-optimal kinematic reference signals for redundant manipulators with unknown dynamics. A novel economic iterative learning control approach is developed to leverage repeated task executions to learn a time-optimal control signal for an uncertain robot model. Simulation results demonstrate the performance of the approach for a 7-DOF manipulator. An experimental analysis is performed to understand the impact of the initial reference trajectory on converged performance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Runtime Enforcement for IEC 61499 Applications 20th

Runtime Enforcement for IEC 61499 Applications

引用

20th international conference on Software Engineering and Formal methods (SEFM)

作者： Falcone, Ylies Faqrizal, Irman Salaun, Gwen Univ Grenoble Alpes CNRS Grenoble INP INRIALIG F-38000 Grenoble France

ISBN: (纸本)9783031171086;9783031171079

Industrial automation is a complex process involving various stakeholders. The international standard IEC 61499 helps to specify distributed automation using a generic architectural model, targeting the technical development of the automation. However, analysing the correctness of IEC 61499 models remains a challenge because of their informal semantics and distributed logic. We propose new verification techniques for IEC 61499 applications. These techniques rely on the concept of runtime enforcement, which can be applied to systems for preventing bad behaviours from happening. The main idea of our approach is to integrate an enforcer in the application for allowing it to respect specific properties when executing. The techniques begin with the definition of a property. The language of this property supports features such as discarding and replacing events. Next, this property is used to synthesise an enforcer in the form of a function block. Finally, the synthesised enforcer is integrated into the application. Our approach is illustrated on a realistic example and fully automated.

关键词： automation

来源：评论

学校读者我要写书评

暂无评论

Maintenance of Operable Condition of a Flexible Production System Through the Development and Implementation of a Method for Cutting Tools and Workpieces Operational Control

Maintenance of Operable Condition of a Flexible Production S...

引用

international Russian Smart Industry conference (SmartIndustryCon)

作者： Tatiana V. Basova Yuri S. Andreev Faculty of Control Systems and Robotics ITMO University St. Petersburg Russia

The objective of this research is to maintain the operational state of a flexible manufacturing system (FMS) within the required timeframe by developing and implementing a method for operational control of cutting tools and processed workpieces. A reliable technological system (TS) for the mechanical processing operation is to maintain the production of parts with the required quality and quantity within the specified time, particularly crucial when considering FMSs that eliminate personnel to constantly monitor the technological operation. Through the conducted analytical review, the relevance and immediacy of the work aimed at developing the method for operational control of cutting tools and workpieces are emphasized. This method involves the autonomous operation of the TS through multisensory integration of data on changes in geometric parameters of cutting tools and workpieces, with programming automation and management of information about cutting tools using a database of cutting and auxiliary tool parameters. Within the scope of the research, an experimental validation of the proposed method was conducted, along with solutions addressing issues related to predicting the technical condition of cutting tools for enterprises in the instrument-making and machinery industries under actual production conditions. The prediction of the technical condition of cutting tools was performed using artificial intelligence (AI) methods. The proposed approach for obtaining initial data for developing predictive models is characterized by its reliability, minimizing erroneous results from technical diagnostic and control systems operating independently.

关键词：

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500页 << < 459 460 461 462 463 464 465 466 467 468 > >>

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：