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341-350 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：

Combating Label Ambiguity with Smooth Learning for Facial Expression Recognition 16th

Combating Label Ambiguity with Smooth Learning for Facial ...

引用

16th international conference on Intelligent robotics and Applications, ICIRA 2023

作者： Chen, Yifan Liu, Zide Wang, Xuna Xue, Shengnan Yu, Jiahui Ju, Zhaojie School of Computing University of Portsmouth PortsmouthPO13HE United Kingdom School of Automation and Electrical Engineering Shenyang Ligong University Shenyang110000 China Zhejiang Univeristy Hangzhou310027 China

ISBN: (纸本)9789819964857

Accurately learning facial expression recognition (FER) features using convolutional neural networks (CNNs) is a non-trivial task because of the presence of significant intra-class variability and inter-class similarity as well as the ambiguity of the expressions themselves. Deep metric learning (DML) methods, such as joint central loss and softmax loss optimization, have been adopted by many FER methods to improve the discriminative power of expression recognition models. However, equal supervision of all features with DML methods may include irrelevant features, which ultimately reduces the generalization ability of the learning algorithm. We propose the Attentive Cascaded Network (ACD) method to enhance the discriminative power by adaptively selecting a subset of important feature elements. the proposed ACD integrates multiple feature extractors with smooth center loss to extract to discriminative features. the estimated weights adapt to the sparse representation of central loss to selectively achieve intra-class compactness and inter-class separation of relevant information in the embedding space. the proposed ACD approach is superior compared to state-of-the-art © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Energy Consumption Modeling and Simulation Method of Discrete Manufacturing Workshop Based on Simplified Power Curve

Data-Driven Energy Consumption Modeling and Simulation Metho...

引用

automation, Control and robotics Engineering (CACRE), international conference on

作者： Ming Yao Puikuan Chang Zhufeng Shao Qi Zhang Pengfei Niu State Key Laboratory of Tribology Tsinghua University Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control Tsinghua University Beijing China Zhili College Tsinghua University Beijing China Instrumentation Technology & Economy Institute Beijing China

ISBN: (数字)9798350350302

ISBN: (纸本)9798350350319

As a core part of industrial production, the management of energy consumption (EC) in discrete manufacturing workshops (DMWs) is critical to improving productivity, reducing costs, and minimizing environmental impact. this paper provides an in-depth study of EC in DMWs., which is categorized into two main groups: work EC and public EC. the work EC includes basic energy, manufacturing energy and transportation energy, and each EC is analyzed and modeled in detail. Different analysis methods are proposed for the two levels of concern, process level and technological level. Based on these analyses, a shop-floor level energy calculation method based on simplified power curves and a data-driven power modeling approach are proposed for constructing accurate shop-floor energy models. Taking typical manufacturing and transportation equipment such as NC machine tools and AGVs as examples, the various power characteristics in the work EC are analyzed and the corresponding models are established. the experimental results show that a better power modeling accuracy can be obtained by using the data-driven method.

关键词： Productivity Analytical models Energy consumption Accuracy conferences Transportation Manufacturing

来源：评论

学校读者我要写书评

暂无评论

MLS: A Meta-Learning Based Stackelberg Model for Robot Trajectory Guidance

MLS: A Meta-Learning Based Stackelberg Model for Robot Traje...

引用

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

作者： Jin Guo Zhiyong Jiang Yifan Liu Lili Gong Robotics Engineering Center The 21st Research Institute of China Electronics Technology Group Corporation Shanghai China

ISBN: (数字)9798350344721

ISBN: (纸本)9798350344738

the critical role of trajectory guidance in facilitating follower robots to reach target destinations under the supervision of a leader robot is well-established. However, the complexity of coordinating efficient collaboration increases when a leader must guide a diverse set of followers with unknown specific characteristics. To address this challenge, we propose a novel meta-learning-based Stackelberg approach. We model the guided trajectory planning problem as a dynamic Stackelberg game, capturing the intricate interaction dynamics between the leader and followers. Utilizing meta-learning techniques, the leader learns a meta-best-response model from a selected set of followers. When a follower initiates a guidance request, the leader swiftly adapts to the follower's unique characteristics using a few learning data. this follower-specific model is then used for effective trajectory guidance. Comprehensive simulations demonstrate the superior generalization and adaptability of our proposed method over alternative learning methods, and emphasize the practical value and effectiveness of the guidance mechanism. Our findings underscore the potential of our meta-learning-based Stackelberg approach in addressing collaborative trajectory planning challenges in heterogeneous multi-robot systems.

关键词： Metalearning Adaptation models Trajectory planning Robot kinematics Collaboration Games Trajectory

来源：评论

学校读者我要写书评

暂无评论

Field Oriented Control of BLDC Motors for Unmanned Underwater Vehicle (UUV)

Field Oriented Control of BLDC Motors for Unmanned Underwate...

引用

international conference on Autonomous Robots and Agents, ICARA

作者： Basavaraj S Talikoti Devindra M Chitguppa Rahul Kumar Mohan Karnik Automation Solutions PDIC Bharat Electronics Limited Bengaluru India

ISBN: (数字)9798331509231

ISBN: (纸本)9798331509248

this paper delves into the domain of Brushless Direct Current (BLDC) Motors that have become significantly popular in modern day applications like automotive, aerospace, robotics (unmanned vehicles) etc. because of the edge they have over their brushed counterpart. Unlike brushed DC motors, which use brush and commutator segments for commutation, BLDC motors use electronic commutation which eliminates wear and tear of mechanical parts, frictional loss etc. this paper discusses mathematical modelling of a BLDC motor, presents the insights about design and implementation of Field Oriented Control (FOC), initial calculation of Proportional Integral Differential (PID) gains and final implementation of FOC algorithm for BLDC Motors of UUV. this technique is far superior than other traditional methods, like Trapezoidal control and sinusoidal control, and implements independent control of torque and flux with the help of various transforms. It is a very useful and precise technique which results in a superior dynamic response, less torque ripple and high efficiency. the key objective is to dispense a holistic approach for designing PID controller for a BLDC motor. the performance of the controller was tested for no load and load condition. the final results demonstrated the anticipated superior dynamic response.

关键词： Dynamic response Motor drives Accuracy Heuristic algorithms Commutation Motors Real-time systems Mathematical models Tuning Robots

来源：评论

学校读者我要写书评

暂无评论

LTM: A Fast and Error-sensitive Point Cloud Clustering Algorithm for LiDAR Panoptic Segmentation

LTM: A Fast and Error-sensitive Point Cloud Clustering Algor...

引用

international conference on robotics and automation Engineering (ICRAE)

作者： Peng Wu Zhengxi Hu Qianyi Zhang Jinzheng Guang Jingtai Liu Robotics and Automatic Information System Nankai University Tianjin China Tianjin Key Laboratory of Intelligent Robotics TBI Center Nankai University

ISBN: (数字)9798331518301

ISBN: (纸本)9798331518318

Point cloud clustering is a crucial approach to understand and analyze geometric information for both robotic systems and autonomous driving. To meet real-time requirements, several existing point cloud clustering algorithms are based on Connected Component Labeling. It means that classification decisions are made locally based on the geometric relationships among neighboring points. However, the existing neighborhood connection criterion lack robustness. this is because the difference in resolution between point clouds in the horizontal and vertical directions and various depth affect the distance between adjacent points, thereby affecting connectivity determination. In this paper, we propose a novel clustering algorithm LTM (includes Linearization, Trunk extraction and Merge). It processes the horizontal and vertical directions separately in two steps and innovatively utilizes three points to determine neighborhood connectivity. thus, it can reduce the impact of these constraints on the effectiveness. We cascade the proposed clustering algorithm with existing semantic segmentation models and perform a panoptic segmentation task on the SemanticKITTI. Experimental results demonstrate that LTM achieved the best results among all published methods of the same category. Furthermore, the single-frame processing time for clustering is within 10 milliseconds.

关键词： Point cloud compression Location awareness Laser radar Service robots Semantic segmentation Clustering algorithms Vectors Robustness Real-time systems Labeling

来源：评论

学校读者我要写书评

暂无评论

Fused Swish-ReLU Efficient-Net Model for Deepfakes Detection

Fused Swish-ReLU Efficient-Net Model for Deepfakes Detection

引用

international conference on Autonomous Robots and Agents, ICARA

作者： Hafsa Ilyas Ali Javed Muteb Mohammad Aljasem Mustafa Alhababi Software Engineering Department University of Engineering and Technology Taxila Pakistan Electrical Engineering Department Wayne State University Detroit MI USA

With the rapid development of sophisticated deepfakes generation methods, the realism of fake content has reached the level where it becomes difficult for human eyes to identify such high-quality fake images/videos, thus increasing the demand for developing deepfakes detection methods. the diversity in deepfakes images/videos in terms of ethnicity, illumination condition, skin tone, age, background setting, and generation algorithms makes the detection task quite difficult. To better address the aforementioned challenges, we present a novel Swish-ReLU Efficient-Net (SRE-Net) that is robust to the identification of deepfakes generated using different face-swap and face-reenactment techniques. More precisely, we fused two EfficienNet-b0 models, one with the ReLU and the other with the Swish activation function along with layer freezing to achieve better detection results. Our SRE-Net attained the average accuracy and precision of 96.5% and 97.07% on the FaceForensics++ dataset, and 88.41% and 91.28% on the DFDC-preview dataset. the high detection results demonstrate the effectiveness of SRE-Net while detecting the deepfakes generated using different manipulation algorithms.

关键词： Deep learning Deepfakes automation Lighting Diversity methods Skin Classification algorithms

来源：评论

学校读者我要写书评

暂无评论

Slippage Prediction in Microrobotic Fiber Characterization*

Slippage Prediction in Microrobotic Fiber Characterization*

引用

IEEE international conference on automation Science and Engineering (CASE)

作者： Ali Zarei Dhanesh K. Rajan Pasi Kallio Research Group Faculty of Medicine and Health Technology Tampere University Tampere Finland

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

the grasp assessment is one of the hot topics in robotics. the robotic gripper can be equipped with tactile, force and/or torque sensors to monitor the interaction between the grasped object and the gripper. In this study, a grasp assessment protocol of cellulose-based aerogel fibers inside microgrippers is proposed in a microrobotic platform which is dedicated to tensile testing of short natural fibers. In this study, the positions of micro-actuators and the microscopic images of the grasped fibers are used to predict the suitability of the grasp for tensile testing as an example of a fiber characterization task. Employing conventional machine learning methods and deep neural networks, the slippage of an aerogel fiber inside the microgrippers is predicted before starting the task of tensile test. the visual data are used for training of a convolutional neural network which results in an accuracy of 85% and recall of 68% in average. By using position data of microactuators for training Support Vector Machine (SVM), Logistic Regression, and K-Nearest Neighbor (KNN) models, an accuracy of 72% and recall of 63% are reached in average.

关键词： Training Support vector machines Optical fiber sensors Visualization Optical fiber networks Predictive models Nearest neighbor methods Robot sensing systems Optical fiber testing Grippers

来源：评论

学校读者我要写书评

暂无评论

Numerical Analysis of Mechatronic Systems with Pulse Width Modulation

Numerical Analysis of Mechatronic Systems with Pulse Width M...

引用

Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Vyacheslav V. Shpak Konstantin A. Timofeev Yuriy V. Shornikov Department of Automated Control Systems Novosibirsk State Technical University Novosibirsk Russia Institute of Automation and Electrometry of the Siberian Branch of the Russian Academy of Sciences Novosibirsk Russia

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

Pulse width modulation is widely used in modern engine control systems. With this control method, power is regulated by periodically turning on and off the load for a specified period of time. Mathematical models of dynamic systems with this control method are hybrid dynamic systems. To model such systems, it is necessary to take into account the features of continuous-event processes obtained by solving the Cauchy problem with a discontinuous right-hand side. In particular, not only special integration methods are required, but also event detection algorithms. the article discusses the detection algorithm implemented in the SimInTech software package at the structural level of model description. An analysis of the modeling accuracy was carried out using the example of a simple servo drive with pulse-width modulation with different options for event detection. the original detection algorithm in combination with the original ARK integration method was successfully tested when simulating servo drives with a pulse width modulator.

关键词： Analytical models Accuracy Event detection Pulse width modulation Control systems Mathematical models Numerical models

来源：评论

学校读者我要写书评

暂无评论

Form-finding of Tensegrity Structures via Monte-Carlo Force Density Random Search

Form-finding of Tensegrity Structures via Monte-Carlo Force ...

引用

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

作者： Zhengyin Du Mingxiang Zheng Min Lin Zhifei Ji College of Marine Equipment and Mechanical Engineering Jimei University Xiamen China

ISBN: (数字)9798350307535

ISBN: (纸本)9798350307542

In this paper, a novel random search algorithm on the basis of the Monte-Carlo method is proposed to solve the form-finding problem of tensegrity structures. the optimization model of tensegrity structures has been developed under the conditions that semi-definite force density matrix should satisfy the rank deficiency constraints. Given the structural topology and the types of the members of tensegrity structures, by searching the force density vectors, the node coordinates are obtained. It follows that equilibrium configurations are derived. Afterwards, numerical simulations have been conducted. the results indicate that the proposed random search algorithm can solve the form-finding problems of tensegrity structures effectively.

关键词： Monte Carlo methods Accuracy Optimization models Force Refining Search problems Vectors Robustness Topology robotics and automation

来源：评论

学校读者我要写书评

暂无评论

Learning Low-Dimensional Strain models of Soft Robots by Looking at the Evolution of their Shape with Application to Model-Based Control

Learning Low-Dimensional Strain Models of Soft Robots by Loo...

引用

IEEE international conference on Soft robotics (RoboSoft)

作者： Ricardo Valadas Maximilian Stölzle Jingyue Liu Cosimo Della Santina Cognitive Robotics Department Delft University of Technology Delft Netherlands Laboratory for Information & Decision Systems Massachusetts Institute of Technology Cambridge USA

ISBN: (数字)9798331520205

ISBN: (纸本)9798331520212

Obtaining dynamic models of continuum soft robots is central to the analysis and control of soft robots, and researchers have devoted much attention to the challenge of proposing both data-driven and first-principle solutions. Both avenues have, however, shown their limitations; the former lacks structure and performs poorly outside training data, while the latter requires significant simplifications and extensive expert knowledge to be used in practice. this paper introduces a streamlined method for learning low-dimensional, physicsbased models that are both accurate and easy to interpret. We start with an algorithm that uses image data (i.e., shape evolutions) to determine the minimal necessary segments for describing a soft robot’s movement. Following this, we apply a dynamic regression and strain sparsification algorithm to identify relevant strains and define the model’s dynamics. We validate our approach through simulations with various planar soft manipulators, comparing its performance against other learning strategies, showing that our models are both computationally efficient and 25x more accurate on out-of-training distribution inputs. Finally, we demonstrate that thanks to the capability of the method of generating physically compatible models, the learned models can be straightforwardly combined with model-based control policies.

关键词： Training Accuracy Transmission line matrix methods Shape Computational modeling Heuristic algorithms Training data Soft robotics Aerodynamics Strain

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 << < 31 32 33 34 35 36 37 38 39 40 > >>

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：