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4731-4740 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：

A Review on Text Supervised Learning methods for Classification of IT Ticket and Bugs 2

A Review on Text Supervised Learning Methods for Classificat...

引用

2nd international conference on Artificial Intelligence and Smart Energy, ICAIS 2022

作者： Bajariya, Asha Patel Jaiminee, J. Kalol Institute and Research Center Ahmedabad India Gujarat Technological University Ce Department Gandhinagar India

ISBN: (纸本)9781665400527

Background: The corporate world deals with task management in a variety of ways all having some form of triaging process to correctly assign tickets to developers. automation of this task has proven elusive with less accuracy for Web and SaaS companies that handle high volumes of tickets in the form of exceptions, support requests, user-reported bugs, and crash reports. Purpose: This paper analyzes different Machine Learning and Deep Learning algorithms for predicting assignees for new tickets based on past tickets. The key area of work was to investigate the usefulness of various machine learning (ML) methods to accurately construct mathematical models for predicting bugs and tickets. Method: The paper highlights the important of features Term Frequency Inverse Document Frequency (TF-IDF) and relevant data word rate to ensure high accuracy is obtained by the utilized ML models. Conclusion: In this Review will discuss about Text Supervised Learning methods for IT Ticket and Bugs classification using its pros and cons. Also gives future idea about IT Ticket and Bugs classification. © 2022 IEEE.

关键词： Text processing

来源：评论

学校读者我要写书评

暂无评论

Referring Image Segmentation via Language-Driven Attention

Referring Image Segmentation via Language-Driven Attention

引用

IEEE international conference on robotics and automation (ICRA)

作者： Chen, Ding-Jie Hsieh, He-Yen Liu, Tyng-Luh Acad Sinica Inst Informat Sci Taipei Taiwan Taiwan AI Labs Taipei Taiwan

ISBN: (纸本)9781728190778

This paper aims to tackle the problem of referring image segmentation, which is targeted at reasoning the region of interest referred by a query natural language sentence. One key issue to address the referring image segmentation is how to establish the cross-modal representation for encoding the two modalities, namely, the query sentence and the input image. Most existing methods are designed to concatenate the features from each modality or to gradually encode the cross-modal representation concerning each word's effect. In contrast, our approach leverages the correlation between the two modalities for constructing the cross-modal representation. To make the resulting cross-modal representation more discriminative for the segmentation task, we propose a novel mechanism of language-driven attention to encode the crass-modal representation for reflecting the attention between every single visual element and the entire query sentence. The proposed mechanism, named as Language-Driven Attention (LDA), first decouples the cross-modal correlation to channel-attention and spatial-attention and then integrates the two attentions for obtaining the cross-modal representation. The channel attention and the spatial attention respectively reveal how sensitive each channel or each pixel of a particular feature map is with respect to the query sentence. With a proper fusion of the two kinds of feature attention, the proposed LDA model can effectively guide the generation of the final cross-modal representation. The resulting representation is further strengthened for capturing the multi-receptive-field and multi-level-semantic for the intended segmentation. We assess our referring image segmentation model on four public benchmark datasets, and the experimental results show that our model achieves state-of-the-art performance.

关键词： Image segmentation Visualization Correlation Image coding automation conferences Natural languages

来源：评论

学校读者我要写书评

暂无评论

automation of Numerals Form Replacement Process

Automation of Numerals Form Replacement Process

引用

international Russian automation conference (RusAutoCon)

作者： Nikolai V. Smirnov Mikhail A. Kolchin Institute of Mathematics and Information Technologies Petrozavodsk State University Petrozavodsk Russia

ISBN: (数字)9798350349818

ISBN: (纸本)9798350349825

Text-to-speech systems usually require numbers in text to be written as words rather than digits. the research presented in the paper is aimed at developing an automatic programming solution for replacing a representation of numbers from digit to word form. the study used ordinal and cardinal numbers from texts in the Russian language. Two different approaches for replacement were applied. the first one implies that it is possible to create certain language processing rules that could cover all of the linguistic patterns. Therefore, this solution must take into account prepositions, and the fact that the word form of a numeral depends on many other syntactic constructions. the second one relies on machine learning methods, where sentences with numbers represented by digits are used as inputs. Aside from model training and fine-tuning, this method includes collecting data in the form of sentences in Russian, which contain different kinds of numbers, such as integer and real numbers, ranges, dates and times. the paper shows the results of testing the developed models.

关键词： Training Analytical models Accuracy automation Neural networks Syntactics Linguistics Transformers Data models Testing

来源：评论

学校读者我要写书评

暂无评论

On Identifiability and Adaptive Identification of Decentralized Systems

On Identifiability and Adaptive Identification of Decentrali...

引用

international conference on Control Systems, Mathematical Modelling, automation and Energy Efficiency (SUMMA)

作者： Nikolay Karabutov Department of Control Problems MIREA - Russian Technological University Moscow Russia

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

The identification problem of decentralized control systems (DCS) is considered. Analysis shows that this problem has not been given sufficient attention. The complexity of systems and a priori uncertainty require the development of approaches and methods. DCS parametric identifiability (PI) requires a solution. We propose an approach to the PI assessment based on the fulfilment of the condition of constant excitation and consider the relationships in the subsystems. PI conditions are obtained. Algorithms for parametric and signal adaptive identification for DS have been synthesized. The exponential dissipativity of the identification system is proved. The influence of interrelations in subsystems is considered on properties of parameter estimates. Examples are given

关键词： Adaptation models Adaptive systems Uncertainty automation Decentralized control Mathematical models Energy efficiency Complexity theory

来源：评论

学校读者我要写书评

暂无评论

Masked Autoencoder for ECG Representation Learning 12

Masked Autoencoder for ECG Representation Learning

引用

12th international conference on Information Science and Technology, ICIST 2022

作者： Yang, Shunxiang Lian, Cheng Zeng, Zhigang School of Automation Wuhan University of Technology WuHan China School of Artificial Intelligence and Automation Huazhong University of Science and Technology WuHan China

ISBN: (数字)9781665485821

ISBN: (纸本)9781665485821

In recent years, self-supervised methods have been widely used in representation learning for electrocardiogram (ECG), but most of the existing methods are based on contrastive learning. Contrastive learning methods usually rely on a large number of negative sample pairs and data augmentation. In this paper, we propose a masked autoencoder-based ECG representation learning model. Our approach is to mask the original ECG signal with a high ratio and then use the autoencoder to reconstruct the original ECG signal. To obtain better ECG features, our model not only extracts local features of ECG using multi-scale convolution, but also global features of ECG using transformer. Our model first pre-trains on the ECG datasets and then fine-tunes on each ECG classification task. Experimental results show that our model outperforms the extant SOTA models for self-supervised learning. © 2022 IEEE.

关键词： Electrocardiograms

来源：评论

学校读者我要写书评

暂无评论

Risk-Predictive Planning for Off-Road Autonomy

Risk-Predictive Planning for Off-Road Autonomy

引用

IEEE international conference on robotics and automation (ICRA)

作者： Lukas Lao Beyer Gilhyun Ryou Patrick Spieler Sertac Karaman Laboratory for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA NASA Jet Propulsion Laboratory California Institute of Technology Pasadena CA

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Efficiently navigating off-road environments presents a number of challenges arising from their unstructured nature. In the absence of high-fidelity maps, occlusions from obstacles and terrain lead to limited information available to inform planning decisions. Furthermore, resolution and latency limitations of real-world perception systems lead to potentially of degraded perception performance when traversing such environments at high speeds. We address these problems by proposing an algorithm which plans trajectories while anticipating future observations. In particular, we introduce a model which learns to predict the evolution of future riskmaps conditioned on the future path and speed profile of the vehicle. The model is trained in a self-supervised fashion using recordings of vehicle trajectories. We then present an algorithm which leverages a way to efficiently query the model along candidate paths and speed profiles to produce time-optimal trajectories while maintaining a bound on the future expected risk. We assess the predictive performance of our risk model through a comparison with real vehicle driving logs. Furthermore, our closed-loop simulations of several benchmark scenarios demonstrate how the behavior of our planner leads to qualitatively distinct trajectories, leading to improvements in both success rate and speed by up to 60%.

关键词： Training Computational modeling Vehicle driving Pipelines Predictive models Prediction algorithms Trajectory

来源：评论

学校读者我要写书评

暂无评论

Motion Coupling Analysis for the Decoupled Design of a Two-segment Notched Continuum Robot

Motion Coupling Analysis for the Decoupled Design of a Two-s...

引用

IEEE international conference on robotics and automation (ICRA)

作者： Zeng, Wenhui Yan, Junyan Huang, Xu Cheng, Shing Shin Chinese Univ Hong Kong Dept Mech & Automat Engn Hong Kong Peoples R China Chinese Univ Hong Kong Shun Hing Inst Adv Engn Hong Kong Peoples R China Chinese Univ Hong Kong Multiscale Med Robot Ctr Hong Kong Peoples R China

ISBN: (纸本)9781728190778

Multi-segment continuum robots, that offer inherent compliance and distal dexterity, are suitable for deployment in minimally invasive surgical procedures. Cable-driven mechanism is commonly used in continuum surgical robots but could lead to inter-segment motion coupling in a multi-segment robot. In this paper, we present a coupled mechanics model for a two-segment notched continuum robot to analyze the coupled deflection in the proximal segment due to the distal cable force. The model has been developed for two different conditions in which the proximal segment is initially bent (general condition) and initially straight (special condition). It allows us to introduce a decoupled design methodology that systematically determines a stiffness parameter in each of the segments, based on the desired coupled bending angle and other design requirements. Using the method, we fabricated a decoupled notched continuum robot and evaluated the model accuracy compared with experimental data with mean errors of 0.57 degrees and 0.61 degrees, respectively for general and special conditions throughout the 90 degrees distal segment bending angle. It was also shown in a demonstration in a maxillary sinus phantom that the distal segment was capable of independently perform omnidirectional steering without the proximal segment getting in contact with its surrounding nasal wall.

关键词： Couplings Analytical models Motion segmentation Design methodology Computational modeling Phantoms Nose

来源：评论

学校读者我要写书评

暂无评论

Towards automation of Reference Data Generation for ADAS/AD Functions Development - ALiVA Framework

Towards Automation of Reference Data Generation for ADAS/AD ...

引用

2024 international Automotive CAE conference on Road to Virtual World, RVW 2024

作者： Mardhekar, Amogh Pawar, Rushikesh Mohod, Rucha Shirudkar, Rohit Hivarkar, Umesh N. FEV.io India

The advancements towards autonomous driving have propelled the need for reference/ground truth data for development and validation of various functionalities. Traditional data labelling methods are time consuming, skills intensive and have many drawbacks. These challenges are addressed through ALiVA (automatic lidar, image & video annotator), a semi-automated framework assisting for event detection and generation of reference data through annotation/labelling of video & point-cloud data. ALiVA is capable of processing large volumes of camera & lidar sensor data. Main pillars of framework are object detection-classification models, object tracking algorithms, cognitive algorithms and annotation results review functionality. Automatic object detection functionality creates a precise bounding box around the area of interest and assigns class labels to annotated objects. Object tracking algorithms tracks detected objects in video frames, provides a unique object id for each object and performs distance ranging. A unique feature of cognitive algorithms is the elimination of non-realistic objects of interests which appear in billboards or advertisements on buses/trucks. The framework also has a feature of event detection like overtaking scenarios or pedestrians/animals crossing the roads. Annotation review functionality is provided where assessment and correction of auto annotated data can be done manually. The results can be saved in standard file formats such as txt, csv, Json and open ASAM, ensuring compatibility across different systems. ALiVA replaces traditional annotation methods, thereby reducing the effort, the need for skilled resources and the time required to annotate large datasets. This eliminates human biases, manual errors and inconsistencies. ALiVA is validated for numerous customer requirements and offers a large amount and variety of data to quantify the benefits offered. Some of the distinguishing features are models and functionalities that are optimi

关键词： Image annotation

来源：评论

学校读者我要写书评

暂无评论

Centralized Reliability and Security models for Home-based and Consumer Internet of Things

Centralized Reliability and Security Models for Home-based a...

引用

international conference on robotics and automation Engineering (ICRAE)

作者： Balachandar S R. Chinnaiyan C. Kalaiarasan Yugabyte Bengaluru Karnataka India VTU-RC MCA CMR Institute of Technology Bengaluru India School of CSE & IS Presidency University Bengaluru India

Consumer IOT is one of the fastest growing market in ICT (Information and Communication Technology) space which needs constant attention on device protection to safeguard the consumers data from cyber security attacks and threat. We elucidated the home IOT security management, framework and different topologies are required to deploy at home. The AI based models are required to predict the Malware (Botnet) attacks with limited consumer IOT resources and this AI based model could deployed along with home automation software or hardware or separately using microcontroller like Raspberry Pi. The local government IOT regulation and privacy act are playing vital role on data collection and data sharing between home IOT and cloud server.

关键词： Space technology Security management Predictive models Reliability engineering Data models Information and communication technology Topology

来源：评论

学校读者我要写书评

暂无评论

Simulation of motion control of a cylindrical robot manipulator

Simulation of motion control of a cylindrical robot manipula...

引用

Smart Information Systems and Technologies (SIST), IEEE international conference on

作者： Nursultan Sultanuly Gulmira Bazil Department of Automation and Control Almaty University of Power Engineering and Telecommunications Named After Gumarbek Daukeyev Almaty Kazakhstan

ISBN: (数字)9798350374865

ISBN: (纸本)9798350374872

In this paper, a dynamic model of a cylindrical robot manipulator of RPP (Revolute-Prismatic-Prismatic) type based on classical laws of mechanics including Euler-Newton, Kane and Lagrange approaches is developed and presented. MATLAB robotics Toolbox tools are used to demonstrate and analyze the manipulator working environment. The main model parameters include generalized coordinate vector (q), generalized velocity vector (dt/dq) and generalized acceleration vector (dt2/dq), which provides a comprehensive approach to controlling the robot dynamics. The presented code is characterized by simplicity and high efficiency in the implementation of robot manipulator control. A key feature of the model is the ability to specify user-defined points, which allows real-time tracking and analysis of the manipulator trajectory, ensuring its adaptability and flexibility under different operating conditions.

关键词： Analytical models Visualization Codes Tracking Robot kinematics Dynamics Mathematical models

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 << < 470 471 472 473 474 475 476 477 478 479 > >>

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：