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

24,618 篇 会议
154 篇 期刊文献
57 册 图书
1 篇 学位论文

馆藏范围

24,830 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

10,141 篇 工学
- 6,339 篇 控制科学与工程
- 4,109 篇 计算机科学与技术...
- 2,664 篇 软件工程
- 2,151 篇 电气工程
- 1,865 篇 机械工程
- 1,146 篇 仪器科学与技术
- 735 篇 信息与通信工程
- 585 篇 生物工程
- 474 篇 生物医学工程（可授...
- 431 篇 光学工程
- 403 篇 力学（可授工学、理...
- 386 篇 电子科学与技术（可...
- 263 篇 化学工程与技术
- 252 篇 交通运输工程
- 251 篇 材料科学与工程（可...
- 244 篇 动力工程及工程热...
- 217 篇 土木工程
- 206 篇 建筑学
- 183 篇 安全科学与工程
3,073 篇 理学
- 1,766 篇 数学
- 905 篇 物理学
- 642 篇 生物学
- 578 篇 统计学（可授理学、...
- 482 篇 系统科学
- 229 篇 化学
1,224 篇 管理学
- 959 篇 管理科学与工程(可...
- 312 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...
124 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

2,481 篇 predictive model...
1,995 篇 robots
1,827 篇 robotics and aut...
1,741 篇 computational mo...
1,715 篇 automation
1,656 篇 data models
1,585 篇 robot sensing sy...
1,491 篇 analytical model...
1,410 篇 adaptation model...
1,390 篇 training
1,187 篇 accuracy
1,141 篇 mathematical mod...
1,100 篇 trajectory
1,048 篇 mobile robots
922 篇 feature extracti...
845 篇 robustness
840 篇 robot kinematics
793 篇 control systems
718 篇 solid modeling
698 篇 uncertainty

机构

179 篇 university of ch...
144 篇 school of artifi...
111 篇 robotics institu...
89 篇 school of automa...
84 篇 institute of aut...
72 篇 shenyang institu...
68 篇 the robotics ins...
68 篇 school of electr...
68 篇 institutes for r...
64 篇 state key labora...
62 篇 school of mechat...
50 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...
30 篇 college of autom...

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

23,753 篇 英文
993 篇 其他
102 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 24830 条记录，以下是3931-3940 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：

Sentiment Analysis for Mental Health Using Boosting, Bagging, and DeBERTa from Social Media Data

Sentiment Analysis for Mental Health Using Boosting, Bagging...

引用

Control & automation, Electronics, robotics, Internet of Things, and Artificial Intelligence (CERIA), IEEE international conference on

作者： Budi Juarto School of Computer Science Bina Nusantara University Bandung Indonesia

ISBN: (数字)9798331511166

ISBN: (纸本)9798331511173

Nowadays, social media influences from misinformation to cyberbullying and from influencing anxiety and depression to suicidal tendencies have been quite high. All such conditions require proper and timely identification for suitable intervention. The classes used for this work are “Anxiety”, “Bipolar”, “Depression”, “Normal”, “Personality Disorder”, “Stress”, and “Suicidal”. The text was cleaned, under-sampling was done to make the class labels balanced, and labels were encoded. The research employs machine learning models such as Random Forest, Gradient Boosting, LightGBM, and DeBERTa, using an 80-20% train-test split and undersampling to balance class labels. The objective of this research is to assess the effectiveness of boosting, bagging, and the DeBERTa model in classifying mental health conditions based on social media data. The study achieved very good performance using the DeBERTa model: an accuracy of 0.8741, precision of 0.8749, a recall of 0.8741, and an F1-score of 0.8740. However, classes such as “Depression” versus “Suicidal” were slightly overrated. It is a take-home message from the current study that machine learning might effectively enhance diagnostic-related to mental health-more precisely by the DeBERTa algorithm. This study advances the understanding of classifying mental health conditions with a focus on improving detection between closely related conditions like depression and suicidal tendencies.

关键词： Sentiment analysis Accuracy Soft sensors Anxiety disorders Mental health Depression Boosting Data models Bagging Robots

来源：评论

学校读者我要写书评

暂无评论

Increasing Admittance of Industrial Robots By Velocity Feedback Inner-Loop Shaping

Increasing Admittance of Industrial Robots By Velocity Feedb...

引用

IEEE international conference on robotics and automation (ICRA)

作者： Kangwagye Samuel Kevin Haninger Sehoon Oh Department of Robotics and Mechatronics Engineering DGIST Daegu Korea Department of Automation Fraunhofer IPK Berlin Germany

Admittance and impedance controllers are often purely feedforward, using measured external force or motion, respectively, to generate a reference for an inner-loop controller. In this case, the range of dynamics which can be rendered is limited by the inner-loop, which causes, e.g. contact stability issues for low admittance industrial robots in stiff contact. When both position and force are measured, feedback control can be added to more flexibly reshape the rendered dynamics. This paper uses velocity feedback to increase the admittance of motion-controlled industrial robots in force control applications. This allows an industrial robot with a lower intrinsic admittance, which may be needed for payload, speed, or accuracy, to realize a higher admittance by control, allowing lighter manual guidance and safer contact. This is achieved by a modified disturbance observer, where an inverse dynamic model estimates external forces and amplifies them with positive feedback. This approach is compared with using positive velocity feedback with a shaping filter. Here, velocity reference calculated by the virtual admittance model is modified by the DOB (Dist-Add) or the positive velocity feedback (Vel-Add). When combined with an outer-loop admittance controller, these methods can render a higher admittance while maintaining contact stability compared to standard feedforward admittance control.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Cable-Driven Robot for Non-Destructive Leafy Plant Monitoring and Mass Estimation using Structure from Motion

A Hybrid Cable-Driven Robot for Non-Destructive Leafy Plant ...

引用

IEEE international conference on robotics and automation (ICRA)

作者： Gerry Chen Harsh Muriki Andrew Sharkey Cédric Pradalier Yongsheng Chen Frank Dellaert Institute for Robotics and Intelligent Machines Georgia Tech Atlanta USA School of Civil and Environmental Engineering Georgia Tech Atlanta USA CNRS IRL Georgia Tech Lorraine France

We propose a novel hybrid cable-based robot with manipulator and camera for high-accuracy, medium-throughput plant monitoring in a vertical hydroponic farm and, as an example application, demonstrate non-destructive plant mass estimation. Plant monitoring with high temporal and spatial resolution is important to both farmers and researchers to detect anomalies and develop predictive models for plant growth. The availability of high-quality, off-the-shelf structure-from-motion (SfM) and photogrammetry packages has enabled a vibrant community of roboticists to apply computer vision for non-destructive plant monitoring. While existing approaches tend to focus on either high-throughput (e.g. satellite, unmanned aerial vehicle (UAV), vehicle-mounted, conveyor-belt imagery) or high-accuracy/robustness to occlusions (e.g. turn-table scanner or robot arm), we propose a middle-ground that achieves high accuracy with a medium-throughput, highly automated robot. Our design pairs the workspace scalability of a cable-driven parallel robot (CDPR) with the dexterity of a 4 degree-of-freedom (DoF) robot arm to autonomously image many plants from a variety of viewpoints. We describe our robot design and demonstrate it experimentally by collecting daily photographs of 54 plants from 64 viewpoints each. We show that our approach can produce scientifically useful measurements, operate fully autonomously after initial calibration, and produce better reconstructions and plant property estimates than those of over-canopy methods (e.g. UAV). As example applications, we show that our system can successfully estimate plant mass with a Mean Absolute Error (MAE) of 0.586g and, when used to perform hypothesis testing on the relationship between mass and age, produces p-values comparable to ground-truth data (p=0.0020 and p=0.0016, respectively).

关键词：

来源：评论

学校读者我要写书评

暂无评论

Robust Tracking and Localization using Stable Features of Static Planes in Dynamic Scenes

Robust Tracking and Localization using Stable Features of St...

引用

IEEE international conference on Real-time Computing and robotics (RCAR)

作者： Yu Zhang Xuefang Zhang Shiyu Feng Qiguang Shen Shaobo Dang Kun Xu Wuhan Institute of Post and Telecommunications Wuhan China Chinese Academy of Sciences Shenzhen Institute of Advanced Technology ShenZhen China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society College of Automation Guangxi University of Science and Technology

Dynamic interference by moving objects and localization failure induced by low-texture scenes are two urgent problems to be solved in the practical applications of visual simultaneous localization and mapping (SLAM). This study proposes a robust tracking and localization approach with a monocular camera sensor that leverages points within extracted lines and planes to deal with the challenges of dynamic objects and low-texture features. Firstly, we use a line segment detector and an improved CNN-based plane segmentation network to extract lines and planes, respectively, without detecting dynamic objects, thus avoiding complex semantic models. Then, the tracking thread tightly uses plane and line information to promote front-end pose tracking. Finally, the geometric constraint is added to the BA constraints in the pose optimization stage to enhance the robustness. We have evaluated the proposed approach on public datasets and real-scene experiments. Results demonstrate that our method outperforms several state-of-the-art dynamic filtering-based methods in highly dynamic scenes, significantly improving robustness and positioning accuracy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Adaptive Reweighting Method Based on the Effective Area for Fault Severity Classification under Class Imbalance

An Adaptive Reweighting Method Based on the Effective Area f...

引用

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

作者： Zhenglei Jin Qifa Xu Cuixia Jiang Shixiang Lu Tianming Xie School of Management Hefei University of Technology Hefei China College of Electrical and Information Engineering Northeast Petroleum University Daqing China

ISBN: (数字)9798350355642

ISBN: (纸本)9798350355659

In real-world scenarios, fault severity data follows an imbalance distribution, meaning that normal and low-level faults constitute a large portion of the training data. In contrast, high-level fault instances are relatively scarce. This imbalance leads to the decision hyperplane of classifiers to skew in favor of higher fault levels. Typically, reweighting methods ensure that hyperplanes fairly divide the feature space by assigning weights based on the number of instances. However, we found that the number of instances fails to represent the effective area within a fault level in the feature space. To tackle this issue, we first analyze the distribution and their correlations of different instances within each class. Second, we calculate the effective area by treating instances of the same class as identically distributed random variables. Third, we introduce a novel weighting approach, with weights inversely proportional to the effective area. This method results in more flexible weights, allowing for adaptive adjustments based on feature optimization during the training process. Experimental results demonstrate that the proposed method outperforms the comparative methods on a real-world fault severity dataset and enhances fault diagnosis performance under class imbalance.

关键词： Training Fault diagnosis Correlation automation Training data Random variables Robots Optimization

来源：评论

学校读者我要写书评

暂无评论

Enhancing Robotic Task Parameter Estimation Through Unified User Interaction: Gestures and Verbal Instructions in Collaboration

Enhancing Robotic Task Parameter Estimation Through Unified ...

引用

international conference on robotics and automation Sciences (ICRAS)

作者： Shuvo Kumar Paul Mircea Nicolescu Monica Nicolescu Dept.of CSE University of Nevada - Reno Reno USA

ISBN: (数字)9798350352504

ISBN: (纸本)9798350352511

As the presence of robots increases in our daily lives, it becomes crucial to gather task and environmental information through intuitive, meaningful, and user-friendly interaction interfaces. This not only aids users in adapting to and trusting robots in collaborative environments but also enhances core sensory data, enabling robots to make dependable decisions. This paper introduces a framework that incorporates two natural interaction interfaces-gesture and speech-to accurately deduce the object of interest and robotic task parameters. The gesture recognition module utilizes a pre-trained model trained on 21 hand landmarks from 2D images to deduce gestures. Additionally, we trained a model to extract task information from verbal instructions. Combining the extracted task parameters from verbal instructions with inferred gestures, the framework is capable of detecting and/or clarifying object(s) of interest (OO1) in the scene, which is needed to generate the final task configurations. The proposed system showcases how combining these two modules identify and disambiguate relevant robotic task parameters.

关键词： Adaptation models Parameter estimation Human-robot interaction Collaboration Gesture recognition Robot sensing systems Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Flexible Activation Bag: Learning Activation Functions in Autoencoder Networks

Flexible Activation Bag: Learning Activation Functions in Au...

引用

2023 IEEE international conference on Industrial Technology, ICIT 2023

作者： Klopries, Hendrik Schwung, Andreas South Westphalia University of Applied Sciences Department of Automation Technology and Learning Systems Soest Germany

ISBN: (纸本)9798350336504

An active area of research in the field of Machine Learning is the optimization of network structures, including activation functions. However, selecting a suitable activation function is not that simple and usually requires an elaborate empirical process. Unfortunately, this process is very resource intensive and does not always lead to the best solution. This paper presents a novel approach to select, compose and generate adaptive activation functions without any supervision. The best-suited activation function is learned from a collection of function candidates while training the neural network. Standard activation functions are replaced by a sub-network that outputs an indi-vidually parameterized function. The work raises the question whether modern activation functions that are rectified linear unit shaped are beneficial in unsupervised models. We evaluate our approach in autoencoder structures on industrial data and show performance improvements compared to existing methods. The approach is generally applicable to any task and data domain. Finally, ablation studies on the corresponding parameters under-line the cardinality of the approach and performance impacts. © 2023 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

HVAC Smart Controller by Using Thermostatic Bio-Sensor and Adopting Dynamic Approach

HVAC Smart Controller by Using Thermostatic Bio-Sensor and A...

引用

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

作者： Fiaz Khan Wang Xiaoping Abdul Basit Khan College of Electrical and Mechanical Nanjing University of Aeronautics and Astronautic Nanjing China

ISBN: (数字)9798350350302

ISBN: (纸本)9798350350319

The purpose of this project is to replace the remote control-based conventional AC system with an activity level to improve the thermal and environmental conditions of human occupancy. The modified predicted mean vote (mPMV) model correlates the Mean Arterial Blood Pressure (MAP) with the activity level, improving the queries in the predicted mean vote (PMV) model. It gives a more efficient and adaptive approach related to the bio-sensing HVAC smart controller system using ASHRAE Standard 55–2013. mPMV model is related to six parameters including two personal (Activity Level, Clothing Insulation) and four environmental (Room Temperature, Radiant Temperature, Relative Humidity, Air Velocity) factors. Arduino-based Bluetooth module system with Temperature-Humidity sensor and Bluetooth Blood Pressure measuring wrist watch as controlling parameters is used for the development of prototype. This model deals with different levels of age, sex, and ethnicity of the people to provide thermal human comfort. This modified smart controller results in reduced energy consumption with increased efficiency of HVAC system.

关键词： Temperature measurement Temperature sensors Adaptation models HVAC Temperature Biological system modeling Atmospheric modeling

来源：评论

学校读者我要写书评

暂无评论

Exploring Word Embeddings and 3D Quantization for Human Hand Motion Prediction in Shared Wordspace with Robot

Exploring Word Embeddings and 3D Quantization for Human Hand...

引用

international conference on Control, automation, robotics and Vision (ICARCV)

作者： Junaid Baber Thibaut Lopez Olivier Aycard GIPSA-LAB University of Grenoble Alpes France

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

This research introduces an innovative framework for the prediction of human hand motion in a shared workspace with a robot, fostering safe and efficient human-robot collab-oration. Due to the absence of benchmark datasets for this task, we created a custom dataset of human hand trajectories by orchestrating intentional collisions between humans and robots during data collection. To enable efficient processing and prediction, our framework leverages the quantization of sensitive human hand positions into small 3D cells. These cells are later modeled for learning the embedding for better human hand motion prediction. Notably, our framework outperforms the baseline model. Al-though the enhanced predictive power entails extra computation for finding the Nearest Neighbors (NN) during quantization, we efficiently manage this cost through the integration of off-the-shelf information retrieval frameworks like ANNOY. This strategic approach ensures real-time performance and maintains precise approximate NN results.

关键词： Hands Quantization (signal) Three-dimensional displays Costs Computational modeling Predictive models Robot sensing systems Real-time systems Trajectory Collision avoidance

来源：评论

学校读者我要写书评

暂无评论

Improved Integral Nonlinear Active Disturbance Rejection Control for Aerial Dexterous Manipulation

Improved Integral Nonlinear Active Disturbance Rejection Con...

引用

Industrial automation, robotics and Control Engineering (IARCE), international conference on

作者： Xinyue Zhang Fan Chen Yuxin Li Jingyue Luo School of Information Engineering Southwest University of Science and Technology Mianyang China

ISBN: (数字)9798350380323

ISBN: (纸本)9798350380330

The aerial dexterous manipulation system, as a combination of unmanned aerial vehicle technology and robotic arm technology (UAM), shows great potential in the execution of complex tasks. This study focuses on the coupling problem encountered by the system in aerial operation and proposes a novel control strategy based on improved integral nonlinear active disturbance rejection control (SNLADRCI) technology. This strategy establishes a rigid body model of the quadrotor aircraft through the Newton-Euler method and takes the robotic arm as the influence of the external disturbance source, which simplifies the model construction and is more suitable for industrial applications. By simplifying the traditional nonlinear function, not only the observation ability of the observer is improved, but also the difficulty of parameter adjustment is simplified. In addition, this study incorporates a nonlinear integral term to optimize the handling of static errors with a view to improving the overall performance of the system. By constructing an airborne dexterous operating system platform based on SNLADRCI, this study conducted experimental tests using MATLAB/Simulink and Gazebo simulation environments, and the test results effectively verified the reliability of the control method and its excellence in performance.

关键词： Robust control Service robots Atmospheric modeling Operating systems Observers Manipulators Mathematical models Reliability MATLAB Quadrotors

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 << < 390 391 392 393 394 395 396 397 398 399 > >>

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：