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

57,960 篇 会议
283 册 图书
253 篇 期刊文献
1 篇 科技报告

馆藏范围

58,497 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

31,918 篇 工学
- 19,462 篇 计算机科学与技术...
- 15,460 篇 软件工程
- 11,150 篇 控制科学与工程
- 5,799 篇 机械工程
- 5,458 篇 信息与通信工程
- 4,673 篇 电气工程
- 3,215 篇 电子科学与技术（可...
- 2,579 篇 仪器科学与技术
- 2,203 篇 生物工程
- 2,063 篇 光学工程
- 1,962 篇 动力工程及工程热...
- 1,867 篇 生物医学工程（可授...
- 1,319 篇 化学工程与技术
- 1,305 篇 交通运输工程
- 1,207 篇 建筑学
- 1,098 篇 土木工程
- 1,068 篇 安全科学与工程
- 1,009 篇 材料科学与工程（可...
- 1,002 篇 力学（可授工学、理...
12,724 篇 理学
- 6,815 篇 数学
- 3,596 篇 物理学
- 2,401 篇 生物学
- 1,907 篇 系统科学
- 1,657 篇 统计学（可授理学、...
- 1,075 篇 化学
7,390 篇 管理学
- 5,788 篇 管理科学与工程(可...
- 2,234 篇 工商管理
- 1,923 篇 图书情报与档案管...
1,380 篇 医学
- 1,237 篇 临床医学
- 1,107 篇 基础医学(可授医学...
938 篇 经济学
779 篇 法学
676 篇 农学
599 篇 教育学
197 篇 文学
175 篇 艺术学
152 篇 军事学
5 篇 哲学
5 篇 历史学

主题

4,251 篇 automation
1,915 篇 control systems
1,870 篇 computational mo...
1,750 篇 design automatio...
1,427 篇 computer archite...
1,395 篇 feature extracti...
1,328 篇 robot sensing sy...
1,305 篇 accuracy
1,252 篇 robots
1,132 篇 computer science
1,110 篇 computer vision
1,034 篇 mobile robots
1,022 篇 cameras
1,021 篇 robotics and aut...
962 篇 training
905 篇 real-time system...
842 篇 mathematical mod...
814 篇 neural networks
764 篇 application soft...
756 篇 deep learning

机构

337 篇 school of automa...
287 篇 school of mechat...
129 篇 maharishi school...
112 篇 department of el...
110 篇 college of autom...
103 篇 school of electr...
96 篇 school of comput...
94 篇 karnataka bangal...
90 篇 school of automa...
85 篇 centre of resear...
77 篇 school of automa...
74 篇 faculty of infor...
72 篇 jiangsu automati...
72 篇 xi'an technologi...
65 篇 school of comput...
63 篇 department of au...
62 篇 department of co...
61 篇 school of comput...
59 篇 school of comput...
55 篇 institute of aut...

作者

63 篇 valeriy vyatkin
48 篇 jun wang
43 篇 li li
35 篇 liu yang
34 篇 li xin
31 篇 wang lei
30 篇 zhang tao
29 篇 li yang
29 篇 shuzhi sam ge
27 篇 zhang lei
27 篇 mengchu zhou
26 篇 ning xi
25 篇 yuechao wang
25 篇 china
23 篇 peter b. luh
23 篇 yang jun
23 篇 ming li
22 篇 kang li
22 篇 jun zhang
22 篇 xin liu

语言

56,422 篇 英文
1,507 篇 其他
671 篇 中文
6 篇 西班牙文
3 篇 俄文
3 篇 土耳其文
2 篇 法文
1 篇 葡萄牙文

检索条件"任意字段=International Conference on Computer and Automation Engineering"

共 58497 条记录，以下是991-1000 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 Novel Reinforcement Q-Learning Control Approach for Lateral Vehicle Dynamics 10

A Novel Reinforcement Q-Learning Control Approach for Latera...

引用

10th international conference on Control, Instrumentation and automation, ICCIA 2024

作者： Samsami, Reza Arefi, Mohammad Mehdi Shiraz University School of Electrical and Computer Engineering Shiraz Iran

ISBN: (纸本)9798331509972

This paper introduces a novel reinforcement Q learning algorithm equipped with an actor-critic neural network (NN) structure to effectively control the lateral dynamics of an autonomous vehicle (AV), even when system dynamics are entirely unknown. To address the challenges posed by traditional persistence of excitation conditions, an experience replay technique is implemented, leveraging past data to train the adaptive critic law. A nonlinear lateral vehicle dynamic model is established, considering steering angle as the input and road curvature as the disturbance. Subsequently, a linearized model is derived using the Euler technique. The Q-function is formulated using the Hamilton-Jacobi-Bellman (HJB) equation, and its parameters are estimated through integral reinforcement learning (IRL) and an online actor-critic NN, ensuring closed-loop stability. Finally, the efficacy of the proposed approach is demonstrated through a simulation example conducted on an AV. © 2024 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

LS2K1000-BASED SINGLE-BOARD FLIGHT CONTROL computer DESIGN AND ITS SEMI-PHYSICAL SIMULATION

LS2K1000-BASED SINGLE-BOARD FLIGHT CONTROL COMPUTER DESIGN A...

引用

2024 CSAA/IET international conference on Aircraft Utility Systems, AUS 2024

作者： Liu, Yiqin Zhang, Xianxia Luo, Xin Liu, Ziyuan School of Mechatronics and Automation Shanghai University Shanghai China Shanghai Aircraft Design and Research Institute Shanghai China

In view of the increasing requirements of civil aircraft for higher performance and lower power consumption of the main control processor of the flight control computer, a single-board flight control computer design is proposed which uses a high-performance embedded processor as the main control processor. This design uses the LS2K1000 embedded processor from Loongson and mainly includes the design of system architecture, minimum system circuit and functional circuit. The functional verification of the single-board flight control computer is completed on a self-built semi-physical simulation platform based on FlightGear/Simulink. The verification results show that the design can realize basic functions of data collection, signal conversion, control instruction calculation and other functions of the flight control system, and has certain practical engineering value. © The Institution of engineering & Technology 2024.

关键词： Flight simulators

来源：评论

学校读者我要写书评

暂无评论

Unraveling the Consequences of unethical act of use of Artificial Intelligence: A Systematic Review and Meta-Analysis 4

Unraveling the Consequences of unethical act of use of Artif...

引用

4th IEEE international conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2024

作者： Manu, Mehul Makhija, Falguni Bist, Ankur Singh Kharayat, Pushpendra Singh Singh, Akhilesh Goyal, Shweta Graphic Era Hill University School of Allied Sciences Bhimtal Campus Uttarakhand Nainital India Graphic Era Hill University Computer Science and Engineering Bhimtal Campus Uttarakhand Nainital India Graphic Era Deemed to Be University Department of Electrical Engineering Dehradun248002 India Uttarakhand Technical University Campus Institute Department of Electrical Engineering Pithoragarh India

ISBN: (纸本)9798350360165

Artificial Intelligence (AI) has rapidly transformed various sectors, significantly impacting the employment landscape. Today AI is becoming capable of performing almost every technical task which is perform by the human being and it is the great threat to the massive job loss in present and in the upcoming future as well. The automation of jobs, a core facet of AI, brings forth both opportunities and challenges. While concerns about job displacement exist, AI's potential to efficiency, enhance productivity and accuracy across industries is undeniable. AI excels at automating routine tasks, allowing human workers to focus on more strategic responsibilities, fostering increased job creativity and satisfaction. Sectors like manufacturing, customer service and shipping already showcase the influence of AI-driven automation. However, the fear of widespread unemployment prompts the need for workforce adaptation through upskilling and retraining. The rising demand for skilled professionals in AI-related fields underscores the concurrent opportunities for human labor in developing, designing and maintaining AI systems. Collaborative work settings, where humans and AI systems complement each other, hold promise for heightened job satisfaction and productivity. AI-driven automation also offers the potential for safer working conditions by deploying robots for hazardous tasks. Addressing the challenges requires coordinated efforts from educators, legislature and corporations, emphasizing investments in lifelong learning, education and ethical deployment regulations. Balancing the benefits of workforce and automation support is vital for a future where humans and machines coexist, fostering a more prosperous and inclusive economy. © 2024 IEEE.

关键词： Customer satisfaction

来源：评论

学校读者我要写书评

暂无评论

Emotion Recognition in Human Thermal Images with Artificial Intelligence Technology 28

Emotion Recognition in Human Thermal Images with Artificial ...

引用

28th IEEE international conference on Emerging Technologies and Factory automation, ETFA 2023

作者： Pavel, Sorin Moldovanu, Simona Aiordachioaie, Dorel Dunarea de Jos University of Galati Faculty of Automation Computers Electrical Engineering and Electronics Department of Electronics and Telecommunications Galati Romania Dunarea de Jos University of Galati Faculty of Automation Computers Electrical Engineering and Electronics Department of Computer Science and Information Technology Galati Romania

ISBN: (纸本)9798350339918

This paper presents a case study related to emotion recognition based on human thermal image processing. Three states are considered for human faces: normal, sad, and happy. The thermal images are pre-processed for important feature selection and extraction by using the random forest (RF) classifier. All and selected features set is used as input to a feedforward backpropagation neural network (FFBPN), with binary outputs. The input images are organized in pairs, i.e., normal with sad and normal with happy. The preliminary results show particularly good classification accuracy. © 2023 IEEE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Mind the Gap: The Disconnect Between Refactoring Criteria Used in Industry and Refactoring Recommendation Tools 40

Mind the Gap: The Disconnect Between Refactoring Criteria Us...

引用

40th international conference on Software Maintenance and Evolution

作者： Ivers, James Ghammam, Anwar Gaaloul, Khouloud Ozkaya, Ipek Kessentini, Marouane Aljedaani, Wajdi CMU Software Engn Inst Pittsburgh PA 15213 USA Oakland Univ Rochester MI USA Univ Michigan Dearborn Dearborn MI USA Univ Michigan Flint Flint MI USA

ISBN: (纸本)9798350395693;9798350395686

Refactoring is a widely adopted practice that keeps code healthy and provides well known benefits like improving developer productivity. Developers routinely make decisions about how to refactor code (which specific refactoring changes to make), but the criteria that guide these decisions is not well studied. We conducted a multi-method study to understand the diversity of criteria that developers use in deciding what refactoring changes to make, the relative importance of different criteria, and the extent to which refactoring recommendation tools incorporate these criteria in their recommendation approaches. Our findings demonstrate that developers in industry situationally employ more than a dozen criteria when making refactoring decisions. However, no recommendation tool supports even half of those criteria and most criteria are supported by only a few tools. While research in refactoring recommendations tools is ripe, lack of support for criteria developers care about leaves industry without the kind of recommendation tools that they need. In this paper, we summarize findings from industry interviews, an industry survey, and an analysis of refactoring recommendation tools. We highlight gaps in refactoring recommendation tools that researchers and tool vendors should consider focusing on for successful practical application of refactoring recommendation tools at scale.

关键词： refactoring large-scale refactoring refactoring recommendation tools software automation software evolution design criteria

来源：评论

学校读者我要写书评

暂无评论

Neural Network Technology for Choosing a Learning Path 15

Neural Network Technology for Choosing a Learning Path

引用

15th international conference on computer and automation engineering, ICCAE 2023

作者： Kabdushev, Sherniyaz Shaltykova, Dina Vitulyova, Yelizaveta Bakirov, Akhat Suleimenov, Ibragim International Information Technologies University Almaty Kazakhstan National Engineering Academy of the Republic of Kazakhstan Almaty Kazakhstan Almaty University of Power Engineering and Telecommunication Named Gumarbek Daukeev Almaty Kazakhstan

ISBN: (纸本)9798350396225

A new approach to testing mental attitudes, psychological characteristics and the level of competence of students is proposed. This approach is based on the use of an electronic textbook coupled with a diagnostic neural network. Pairing is ensured by the fact that the text of the textbook is supplied with hyperlinks, which de facto form the first layer of the diagnostic neural network. Each of these links is associated with a formal neuron, and the fact of following the link is associated with the formation of a logical unit at the output of such a neuron, the absence of a transition is associated with a logical zero. Next, the standard procedure for training and using neural networks is used, and the training sample is formed using psychological tests. A specific example of an electronic textbook associated with a neural network is considered, which is built on the basis of a textbook on the history and philosophy of science, officially recommended by the Ministry of Science and Higher Education of the Republic for all specialties of the magistracy. The results of the primary testing of students using the proposed technology are presented. It is shown that this method can be used not only for testing individuals, but also for diagnosing social groups. © 2023 IEEE.

关键词： Textbooks

来源：评论

学校读者我要写书评

暂无评论

An aggregate routing algorithm based on event age of information 4

An aggregate routing algorithm based on event age of informa...

引用

4th international conference on Digital Signal and computer Communications, DSCC 2024

作者： Xie, Haofei Lu, Futao Jiang, Jincheng School of Automation Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (纸本)9781510681538

Maintaining the timeliness of information from multiple monitoring nodes in event-reporting networks is a challenging task. Based on the research on age of information(AoI) and aggregate routing, the relationship model between AoI and aggregate routing in event-driven network. An aggregated routing algorithm (STAR) is proposed, which takes the node AoI and the number of nodes involved in the data routing path as the reward function, and the routing node of Steiner point is selected as the routing node of information reporting. The good performance of this algorithm under different network environment parameters was verified by using the event AoI as a performance index of the target node. © 2024 SPIE.

关键词： Aggregates

来源：评论

学校读者我要写书评

暂无评论

computer Vision Based Crop Yield Prediction for Precision Agriculture Using Machine Learning Model 9

Computer Vision Based Crop Yield Prediction for Precision Ag...

引用

9th international conference on Communication and Electronics Systems, ICCES 2024

作者： Arasa Kumar, R. Kanagamalliga, S. Jaya Selvan, J. Jawahar, K.S. Saveetha Engineering College Dept. of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377972

Precision agriculture methodologies, which integrate digitalization and automation, are driving a revolution in agriculture through the use of computer vision technology. This intelligent agriculture could also address significant global issues such as food security and sustainability. Advancements in computer and machine vision have significantly improved the detection, quality assessment, and yield estimation processes for various fruit crops;nevertheless, there are yet no completely established systems capable of generating an accurate yield map for vegetable crops. The objectives of a machine vision-based yield monitor were the classification of size (count) and the continuous enumeration of agricultural produce. The proposed system employs a linear regression machine learning model for feature selection and decision tree machine learning model to predict healthy crop yields and provide the optimal framework for implementing completely autonomous farms in real time. The performance of the proposed machine learning model is accessed by Mean Absolute Error (MAE) and R-squared (R2) ranking scores. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Visible-Infrared Cross-Modal Person Re-Identification Based on Modality Alignment and Fine-Grained Mining 14

Visible-Infrared Cross-Modal Person Re-Identification Based ...

引用

14th IEEE international conference on Cyber Technology in automation, Control, and Intelligent Systems, CYBER 2024

作者： Zhao, Yingchang Yu, Hang Cheng, Zhuxuan Fan, Huijie Lin, Sen School of Automation and Electrical Engineering Shenyang Ligong University Shenyang110159 China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China School of Information Engineering Shenyang University of Chemical Technology Shenyang110142 China

ISBN: (纸本)9798331506056

In the current field of computer vision, visible-infrared cross-modal person re-identification has become a research topic of great interest. This task aims to identify and match images of the same pedestrian from different modalities and is widely applied in scenarios like night-time surveillance and multi-camera tracking. However, due to significant visual differences between modalities, this task faces many challenges. To overcome these challenges, in this paper we propose a cross-modal person re-identification method based on modality alignment and fine-grained local feature mining. First, we introduce the Modality Alignment Module, which aims to reduce visual differences between modalities, thereby providing a more consistent foundation for feature extraction and matching. Then, through the Fine-grained Mining Module, we delve into the local details in pedestrian images to enhance the distinctiveness of features and the accuracy of identification. Moreover, by incorporating advanced deep learning architectures and optimization algorithms, our method shows exceptional results on both SYSU-MM01 and RegDB datasets. © 2024 IEEE.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

Extrinsic Calibration Method for GNSS/IMU and LiDAR with the Custom Calibration Pattern

Extrinsic Calibration Method for GNSS/IMU and LiDAR with the...

引用

2023 IEEE international conference on Electrical, automation and computer engineering, ICEACE 2023

作者： Yan, Chao Ye, Fei Xue, Guoqiang Bai, Wentao Gong, Yefei School of Electrical Engineering and Automation Changshu Institute of Technology China School of Automobile Engineering Changshu Institute of Technology China Business School Changshu Institute of Technology China School of Computer Science and Engineering Changshu Institute of Technology China

ISBN: (纸本)9798350309614

In this paper, a novel approach for extrinsic calibration of GNSS/IMU and multiline LiDAR sensors in ground-based SLAM systems is presented. LiDAR and GNSS/IMU sensors are widely used in SLAM systems for sensing and localization. However, precise calibration of the extrinsic parameters between these sensors is crucial for successful sensor fusion. The extrinsic calibration involves determining the translation and rotation matrices, denoted as t and R respectively, which characterize the relative position and orientation between the GNSS/IMU and LiDAR sensors. To achieve accurate calibration, a specially designed calibration plate is introduced in this approach. One major advantage of this method is that it can be performed in a static setting, eliminating the need to calculate LiDAR odometry. This allows for continuous and highly accurate GNSS/IMU positional data acquisition. Additionally, by moving the combination to accumulate multiple poses, the method ensures that the GNSS/IMU and multiline LiDAR sensors have only one fixed attitude during calibration. This increases the robustness of the calibration results. To validate the correctness and effectiveness of the proposed algorithm, simulated and measured datasets are used for quantitative and qualitative assessments. The results demonstrate the accuracy and reliability of the extrinsic calibration approach. © 2023 IEEE.

关键词： custom calibration pattern extrinsic calibration GNSS/IMU LiDAR Simultaneous Localization and Mapping

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 << < 96 97 98 99 100 101 102 103 104 105 > >>

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：