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

6,204 篇 会议
207 篇 期刊文献
9 册 图书

馆藏范围

6,420 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

3,561 篇 工学
- 2,658 篇 计算机科学与技术...
- 1,843 篇 控制科学与工程
- 1,188 篇 软件工程
- 1,115 篇 电气工程
- 274 篇 机械工程
- 270 篇 信息与通信工程
- 221 篇 交通运输工程
- 191 篇 电子科学与技术（可...
- 118 篇 仪器科学与技术
- 111 篇 生物工程
- 109 篇 安全科学与工程
- 107 篇 生物医学工程（可授...
- 89 篇 动力工程及工程热...
- 83 篇 力学（可授工学、理...
- 70 篇 航空宇航科学与技...
- 69 篇 化学工程与技术
- 64 篇 光学工程
- 55 篇 建筑学
- 51 篇 石油与天然气工程
960 篇 理学
- 625 篇 数学
- 198 篇 物理学
- 178 篇 系统科学
- 138 篇 生物学
- 138 篇 统计学（可授理学、...
- 58 篇 化学
731 篇 管理学
- 686 篇 管理科学与工程(可...
- 131 篇 工商管理
- 81 篇 图书情报与档案管...
94 篇 医学
- 70 篇 基础医学(可授医学...
- 61 篇 临床医学
44 篇 法学
34 篇 经济学
16 篇 教育学
12 篇 军事学
11 篇 农学
1 篇 艺术学

主题

677 篇 computational mo...
551 篇 control systems
335 篇 computational in...
288 篇 artificial intel...
265 篇 mobile robots
233 篇 automation
231 篇 neural networks
213 篇 humans
211 篇 robot sensing sy...
205 篇 mathematical mod...
201 篇 fuzzy control
173 篇 automatic contro...
170 篇 process control
167 篇 robots
158 篇 intelligent robo...
152 篇 optimization
149 篇 robot control
127 篇 navigation
127 篇 genetic algorith...
125 篇 computer archite...

机构

46 篇 ieee
38 篇 chinese acad sci...
30 篇 state key labora...
28 篇 school of artifi...
27 篇 department of au...
26 篇 beijing key labo...
24 篇 politehn univ ti...
22 篇 univ chinese aca...
21 篇 computer and aut...
21 篇 school of automa...
19 篇 institute of aut...
19 篇 department of au...
18 篇 school of automa...
18 篇 obuda univ docto...
18 篇 department of au...
18 篇 school of automa...
18 篇 dept. of automat...
17 篇 school of artifi...
16 篇 hubei key labora...
16 篇 university of ch...

作者

43 篇 wang fei-yue
36 篇 radu-emil precup
35 篇 fei-yue wang
31 篇 precup radu-emil
27 篇 levente kovács
23 篇 tar jozsef k.
22 篇 józsef k. tar
21 篇 preitl stefan
21 篇 stefan preitl
20 篇 kovacs levente
17 篇 dongbin zhao
17 篇 ioan filip
15 篇 dániel andrás dr...
14 篇 prostean octavia...
13 篇 a. meystel
13 篇 kovács levente
13 篇 drexler daniel a...
13 篇 gaspar peter
13 篇 hirota kaoru
13 篇 zhao dongbin

语言

6,259 篇 英文
99 篇 其他
64 篇 中文
2 篇 葡萄牙文

检索条件"任意字段=IEEE Symposium on Computational Intelligence in Control and Automation"

共 6420 条记录，以下是981-990 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：

Time-Varying Model Predictive control for Highly Dynamic Motions of Quadrupedal Robots

Time-Varying Model Predictive Control for Highly Dynamic Mot...

引用

ieee International Conference on Robotics and automation (ICRA)

作者： Garcia, Gabriel Griffin, Robert Pratt, Jerry Florida Inst Human & Machine Cognit Pensacola FL 32502 USA

ISBN: (纸本)9781728190778

Obtaining highly dynamic motions in robots is a difficult task. In recent years, sophistication in mechanical design, improved algorithms, and high computational power allows new robots to perform natural gaits and dynamic motions such as backflips. Offline optimization is often necessary to obtain good performance in those difficult motions. However, when an athlete does a backflip, he will adapt "online" to any change, and that is shown in the robustness of the movements. One of the biggest challenges in robotics is to perform those movements using online optimization with the dynamics of the robot. Here, we present an approach to deal with complicated tasks using online optimization. We obtain 90 degrees rotational jumps and jumps over sloped terrain in the Mini-Cheetah hardware, and online-optimized backflips, sideflips, and frontflips in a real-time physical simulator with full-body dynamics.

关键词： Solid modeling Heuristic algorithms Dynamics Solids Hardware Trajectory Task analysis

来源：评论

学校读者我要写书评

暂无评论

COLREGs-Informed RRT* for Collision Avoidance of Marine Crafts

COLREGs-Informed RRT* for Collision Avoidance of Marine Craf...

引用

ieee International Conference on Robotics and automation (ICRA)

作者： Enevoldsen, Thomas Thuesen Reinartz, Christopher Galeazzi, Roberto Tech Univ Denmark Dept Elect Engn Automat & Control Grp DK-2800 Lyngby Denmark

ISBN: (纸本)9781728190778

The paper proposes novel sampling strategies to compute the optimal path alteration of a surface vessel sailing in close quarters. Such strategy directly encodes the rules for safe navigation at sea, by exploiting the concept of minimal ship domain to determine the compliant region where the path deviation is to be generated. The sampling strategy is integrated within the optimal rapidly-exploring random tree algorithm, which minimizes the length of the path deviation. Further, the feasibility of the path with respect to the steering characteristics of own ship is verified by ensuring that the position of the new waypoints respects the minimum turning radius of the vessel. The proposed sampling strategy brings a significant performance improvement both in terms of optimal cost, computational speed and convergence rate.

关键词： Marine vehicles Sea surface Convergence Navigation System dynamics Turning Collision avoidance

来源：评论

学校读者我要写书评

暂无评论

High-Speed Robot Navigation using Predicted Occupancy Maps

High-Speed Robot Navigation using Predicted Occupancy Maps

引用

ieee International Conference on Robotics and automation (ICRA)

作者： Katyal, Kapil D. Polevoy, Adam Moore, Joseph Knuth, Craig Popek, Katie M. Johns Hopkins Univ Appl Phys Lab Laurel MD 20723 USA Johns Hopkins Univ Dept Comp Sci Baltimore MD 21218 USA

ISBN: (纸本)9781728190778

Safe and high-speed navigation is a key enabling capability for real world deployment of robotic systems. A significant limitation of existing approaches is the computational bottleneck associated with explicit mapping and the limited field of view (FOV) of existing sensor technologies. In this paper, we study algorithmic approaches that allow the robot to predict spaces extending beyond the sensor horizon for robust planning at high speeds. We accomplish this using a generative neural network trained from real-world data without requiring human annotated labels. Further, we extend our existing control algorithms to support leveraging the predicted spaces to improve collision-free planning and navigation at high speeds. Our experiments are conducted on a physical robot based on the MIT race car using an RGBD sensor where were able to demonstrate improved performance at 4 m/s compared to a controller not operating on predicted regions of the map.

关键词： automation Navigation Conferences Neural networks Aerospace electronics Robot sensing systems Prediction algorithms

来源：评论

学校读者我要写书评

暂无评论

Missing-Pattern-Aware-Based Multi-Model Imputation Method for Wastewater Treatment Process

Missing-Pattern-Aware-Based Multi-Model Imputation Method fo...

引用

ieee International Conference on Cyber Technology in automation, control, and Intelligent Systems

作者： Meiting Sun Honggui Han Fangyu Li Faculty of Information Technology and Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology Beijing China

In wastewater treatment process (WWTP), data-based implement techniques ensure the stable operation and reduce energy consumption. Different missing patterns of missing values often occur due to some harsh environments and sensor failures. However, existing imputation methods are difficult to obtain satisfactory data for implementation techniques as they only consider a single missing pattern. To solve this problem, a missing-pattern-aware-based multi-model imputation method (MPAMI) is proposed. First, a missing pattern aware network combining the advantages of the encoder and the axial attention mechanism is designed to identify different missing patterns. The network employs the encoder to extract nonlinear feature representations and utilizes the axial attention mechanism to focus on the most informative differential features. Second, a hybrid multi-model imputation method based on the long short-term memory network and the denoising autoencoder is developed to recover missing values. The imputation method utilizes the spatiotemporal information of missing patterns to improve imputation performance. Finally, experiments are conducted on a real WWTP dataset to validate the imputation performance of the proposed MPAMI.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Person Re-identification Lightweight Network Based on Progressive Attention Mechanism 6

Person Re-identification Lightweight Network Based on Progre...

引用

6th International symposium on Autonomous Systems, ISAS 2023

作者： Shi, Chunlei Niu, Dan Gong, Hao Zhang, Mei Cao, Zhan Jin, Yulong Southeast University Nanjing China Southeast University Key Laboratory of Measurement and Control of Cse School of Automation Nanjing China Vision Technology Co. Ltd. Shanghai China Nanjing Agricultural University College of Sciences Nanjing China Co.Ltd Hangzhou China

ISBN: (纸本)9798350316155

This paper proposes a lightweight person re-identification network that incorporates a progressive attention mechanism The network aims to address the low accuracy issue in person re-identification caused by various factors such as different viewing angles, poses, illumination conditions, occlusions, and low image resolutions. Additionally, the network design takes into consideration the need for lightweight model deployment in practical scenarios. To improve the network's performance using limited training data, data augmentation techniques are employed to expand the training dataset and enhance the robustness of the network model. The Resnet-50 architecture serves as the backbone network, and a feature shunt structure with depthwise separable convolutions is introduced to reduce computational parameters and accelerate person retrieval inference speed. Furthermore, the feature extraction and embedding processes are separated, and a progressive attention module is introduced. This module gradually segments the features into local blocks of different granularity, allowing for the learning of discriminative features at each granularity level. This progressive approach enhances the network's ability to perceive foreground information from coarse to fine levels and improves feature matching capability. To supervise the model, a triplet loss function is utilized, specifically designed to address challenging samples. This loss function helps reduce intra-class variations while increasing inter-class separability. The efficacy of the proposed method in person re-identification is substantiated by conducting experimental evaluation on both the Market-1501 and DukeMTMC-ReID datasets. The experimental results demonstrate that the method achieves mAP indices of 88.1% and 79.1% on the respective datasets, providing strong evidence for its effectiveness in addressing the challenges of person re-identification. © 2023 ieee.

关键词： Image resolution

来源：评论

学校读者我要写书评

暂无评论

引用

ieee International symposium on Biomedical Imaging

作者： Yu Du Liting Wang Lei Guo Junwei Han Tianming Liu Xintao Hu School of Automation Northwestern Polytechnical University Xi’an China School of Computing The University of Georgia US

Inspired by biological neural networks (BNNs), deep artificial neural networks (ANNs) have largely reshaped artificial intelligence nowadays. Neural encoding and decoding studies have shown how and to what extent the information representation in ANNs functionally resembles the brains. Meanwhile, researchers start to investigate how ANNs’ predictive performance relates to their topological structures by building relational graphs of computational ANNs. These studies bring the opportunity to assess how is the structural organization of ANNs analogous to BNNs. However, further efforts are necessary to answer this question as the graphical metrics and BNNs are limited in previous studies. In this study, we evaluate the topological similarities between several representative ANNs and a battery of BNNs in different species using a rich set of graphical metrics. We sought to answer two questions: 1) What are the appropriate graphical metrics to characterize the topological similarity between ANNs and BNNs? 2) Is the evolution of ANNs analogous to that of BNNs? Our results show that: 1) the ANN-BNN topological similarity patterns are distinguishable in several graphical metrics; 2) The evolution of ANNs to some extent is analogous to that of BNNs. These findings may provide novel clues for designing brain-inspired neural architectures.

关键词：

来源：评论

学校读者我要写书评

暂无评论

InstruPro: Instrumenting Programmable Logic controller (PLC) based on Model Checking

InstruPro: Instrumenting Programmable Logic Controller (PLC)...

引用

ieee symposium Series on computational intelligence (SSCI)

作者： Abdullah Al Farooq Manash Sarker School of Computing and Data Science Wentworth Institute of Technology Boston MA USA Department of Computer and Communication Engineering Potuakhali Science and Technology University Potuakhali Bangladeshi

ISBN: (纸本)9781665487696

Programmable Logic controller (PLC) suffers from various types of attacks due to misconfiguration in its logic system. These misconfigurations cannot be found by looking at the logic/rules only. Therefore, we propose a methodology where temporal logic is used to find the misconfigurations in the subsequent rules. Our framework is capable of finding the codes in PLC that are responsible for abnormal behavior in PLC. Having accomplished that, an automated approach to instrument the code. We run our methodology on some real world PLC program applications and found that our approach can eradicate a good number of abnormal behaviors successfully.

关键词： Codes Instruments Programmable logic devices Model checking control systems Behavioral sciences Security

来源：评论

学校读者我要写书评

暂无评论

Optimal scheduling of energy storage systems considering the two-layer interaction of distribution networks

Optimal scheduling of energy storage systems considering the...

引用

ieee symposium Series on computational intelligence (SSCI)

作者： Xiao Hua Baoyu Hou Zhanglei Zheng Yang Yu Hui Zheng Pinquan He Lizi Luo Quzhou Power Supply Company State Grid Zhejiang Electric Power Co . Ltd. Quzhou China School of Automation Nanjing University of Science and Technology Nanjing China

ISBN: (纸本)9781665487696

With the depletion of fossil energy, promoting the revolution of energy production and consumption as well as building a low-carbon, clean, safe and efficient energy system are the essential requirements of high-quality energy development. However, with the integration of a large number of distributed generations (DGs), the uncertainty of the system increases, and the economy and safety cannot be guaranteed. Therefore, this paper proposes an optimal scheduling model of energy storage systems (ESSs) considering the two-layer interaction of distribution networks. The model can provide the system with a day-ahead scheduling scheme and ensure that the system operates within the safety limit at the same time. In addition, the model also considers the outlet power limits of the lower-layer substations, so as to avoid the risk of over limit caused by scheduling. In order to verify the effectiveness of the model, a modified actual distribution network feeder in Zhejiang Province, China is used as a test system. After testing, the model can effectively improve the economy and security of system operation.

关键词： Uncertainty Substations Processor scheduling Systems operation Optimal scheduling Distribution networks Safety

来源：评论

学校读者我要写书评

暂无评论

Advancing Security of Mobile and IOT Devices with AI Threat Detection Strategies

Advancing Security of Mobile and IOT Devices with AI Threat ...

引用

ieee/ACM International symposium on Big Data Computing (BDC)

作者： Ali Shikai Marymount University USA

ISBN: (数字)9798350367300

ISBN: (纸本)9798350367317

Because of their ubiquitous connectivity and major influence on many sectors, mobile devices and the Internet of Things (IoT) are becoming even more vital. Through the app economy and mobile commerce, mobile devices stimulate economic growth and innovation; IoT improves efficiency and intelligence in fields including smart homes, healthcare, and industrial automation. These technologies' confluence guarantees flawless, data-driven experiences and promotes ongoing technological innovation, therefore transforming our way of life and employment. Data privacy issues, vulnerability to cyberattacks, and vulnerabilities resulting from insufficient security policies in many IoT devices define the security difficulties in the areas of mobile devices and IoT. Constant connectivity increases the possibility of network breaches; hence, maintaining compliance with data security rules is difficult. To reduce these threats, strong encryption, frequent upgrades, and strict access limits—all part of effective security strategies—are vital. By means of machine learning to recognize and react to threats in real-time, artificial intelligence-based threat detection improves security for mobile devices and IoT. Providing a proactive defense against changing cyber threats, it detects anomalies, forecasts breaches, and automates reactions. Based on their assessment criteria including accuracy, precision, recall, and f1-score, this study contrasts several machine learning and deep learning models for the most effective intrusion detection approach on mobiles devices and IOT. Comparative analysis and evaluation made use of many datasets

关键词： Deep learning Technological innovation Accuracy computational modeling Intrusion detection Mobile handsets Threat assessment Internet of Things Security Unsupervised learning

来源：评论

学校读者我要写书评

暂无评论

Constructing Multi-granular Knowledge Graph with Structure Similarity and Hierarchical Clustering

Constructing Multi-granular Knowledge Graph with Structure S...

引用

symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Ke Yang Jingyun Feng Zhiyu Xi Qiuke Zheng Huan Zhang Wei Deng China Railway Eryuan Engineering Group Co. Ltd. Chengdu China Dept. of Statistics Southern University of Science and Technology Shenzhen China School of Automation Science and Electrical Engineering Beihang University Beijing China School of Computer Science and Artificial Intelligence Southwestern University of Finance and Economics Chengdu China School of Statistics Southwestern University of Finance and Economics Chengdu China Chongqing Key Laboratory of Computational Intelligence Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (数字)9798350363203

ISBN: (纸本)9798350363210

The structure of knowledge graph is basically flat and lack of hierarchies to make knowledge graph too general to deal with concrete reasoning problems. There are few work about hierarchical knowledge graph. In this paper, the entity and relation combined method is proposed to divide the entities into groups based on structure similarity. The hierarchical cluster method is proposed with the entity and relation combined embedding representation to construct a multi-granular knowledge graph. The experimental results show that the hierarchical division relied on combined embedding are significantly better than those based on the existing entity embedding methods in three evaluation indexes. The combined embedding can capture the structure information which is helpful to hierarchical knowledge graph accurately and reasonably.

关键词： Accuracy Large language models Clustering algorithms Knowledge graphs Cognition Classification algorithms Indexes Informatics

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 << < 95 96 97 98 99 100 101 102 103 104 > >>

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：