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

6,234 篇 会议
210 篇 期刊文献
9 册 图书

馆藏范围

6,453 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

3,562 篇 工学
- 2,659 篇 计算机科学与技术...
- 1,842 篇 控制科学与工程
- 1,187 篇 软件工程
- 1,118 篇 电气工程
- 274 篇 机械工程
- 269 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
957 篇 理学
- 623 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
730 篇 管理学
- 685 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
43 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

686 篇 computational mo...
550 篇 control systems
341 篇 computational in...
287 篇 artificial intel...
268 篇 mobile robots
235 篇 automation
233 篇 neural networks
216 篇 humans
213 篇 robot sensing sy...
203 篇 mathematical mod...
201 篇 fuzzy control
174 篇 automatic contro...
171 篇 process control
170 篇 robots
159 篇 intelligent robo...
155 篇 optimization
149 篇 robot control
126 篇 computer archite...
126 篇 navigation
125 篇 genetic algorith...

机构

46 篇 ieee
38 篇 chinese acad sci...
30 篇 state key labora...
29 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...
17 篇 doctoral school ...
16 篇 hubei key labora...

作者

42 篇 wang fei-yue
38 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
22 篇 stefan preitl
21 篇 preitl stefan
20 篇 kovacs levente
18 篇 ioan filip
17 篇 dongbin zhao
16 篇 zhao dongbin
15 篇 dániel andrás dr...
14 篇 prostean octavia...
14 篇 kovács levente
13 篇 a. meystel
13 篇 drexler daniel a...
13 篇 gaspar peter
13 篇 hirota kaoru

语言

6,134 篇 英文
257 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 6453 条记录，以下是1271-1280 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：

Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning

Device Placement Optimization for Deep Neural Networks via O...

引用

ieee symposium Series on computational intelligence (ieee SSCI)

作者： Ding, Zixiang Chen, Yaran Li, Nannan Zhao, Dongbin Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

ISBN: (纸本)9781728125473

With the development of deep learning that employs deep neural networks (DNN) as powerful tool, its computational requirement grows rapid together with the increasing size (e.g. depth and parameter) of DNN. Currently, model and data parallelism are employed for accelerating the training and inference process of DNN. However, the above techniques make placement decision on devices for DNN based on heuristics and intuitions by machine learning experts. In this paper, we propose an novel approach for designing device placement of DNN in an automatic way. For a DNN, we employ a sequence-to-sequence model as controller to sample device placement from a one-shot model, which contains all possible device placements with respect to a specific hardware environment (e.g. CPU and GPU). Then, reinforcement learning treats the execution time of sampled device placement as reward to guide the sequence-to-sequence model for finding better one. The proposed approach is employed to optimize the device placement for both model and data parallelism of Inception-V3 on ImageNet. Experimental results show that the optimal placements discovered by our method can outperform hand-crafted one.

关键词： deep neural networks device placement controller one-shot model reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments

Attention-Guided Lightweight Network for Real-Time Segmentat...

引用

ieee International Conference on Robotics and automation (ICRA)

作者： Ni, Zhen-Liang Bian, Gui-Bin Hou, Zeng-Guang Zhou, Xiao-Hu Xie, Xiao-Liang Li, Zhen Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China CAS Ctr Excellence Brain Sci & Intelligence Techn Beijing 100190 Peoples R China

ISBN: (纸本)9781728173955

The real-time segmentation of surgical instruments plays a crucial role in robot-assisted surgery. However, it is still a challenging task to implement deep learning models to do real-time segmentation for surgical instruments due to their high computational costs and slow inference speed. In this paper, we propose an attention-guided lightweight network (LWANet), which can segment surgical instruments in real-time. LWANet adopts encoder-decoder architecture, where the encoder is the lightweight network MobileNetV2, and the decoder consists of depthwise separable convolution, attention fusion block, and transposed convolution. Depthwise separable convolution is used as the basic unit to construct the decoder, which can reduce the model size and computational costs. Attention fusion block captures global contexts and encodes semantic dependencies between channels to emphasize target regions, contributing to locating the surgical instrument. Transposed convolution is performed to upsample feature maps for acquiring refined edges. LWANet can segment surgical instruments in real-time while takes little computational costs. Based on 960x544 inputs, its inference speed can reach 39 fps with only 3.39 GFLOPs. Also, it has a small model size and the number of parameters is only 2.06 M. The proposed network is evaluated on two datasets. It achieves state-of-the-art performance 94.10% mean IOU on Cata7 and obtains a new record on EndoVis 2017 with a 4.10% increase on mean IOU.

关键词： Instruments Convolution Semantics computational efficiency Decoding Surgery Real-time systems

来源：评论

学校读者我要写书评

暂无评论

AirVista: Empowering UAVs with 3D Spatial Reasoning Abilities Through a Multimodal Large Language Model Agent

AirVista: Empowering UAVs with 3D Spatial Reasoning Abilitie...

引用

International Conference on Intelligent Transportation

作者： Fei Lin Yonglin Tian Yunzhe Wang Tengchao Zhang Xinyuan Zhang Fei-Yue Wang Department of Engineering Science Faculty of Innovation Engineering Macau University of Science and Technology Macau China Chinese Academy of Sciences State Key Laboratory for Management and Control of Complex Systems Institute of Automation Beijing China Capital University of Economics and Business Beijing China Department of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Chinese Academy of Sciences State Key Laboratory for Management and Control of Complex Systems Beijing

ISBN: (数字)9798331505929

ISBN: (纸本)9798331505936

In urban environments, complex transportation demands, including land, air, and maritime transport, are increasingly growing. While significant advancements have been made in land transportation and autonomous driving, research on urban air mobility (UAM) systems is still in its early stages. This paper presents an innovative urban air unmanned aerial vehicle (UAV) framework: AirVista, which is designed and built based on the Artificial Systems, computational experiments, and Parallel execution (ACP) approach, integrated with a multimodal large language model (MLLM) agent. Considering that UAM tasks often require UAVs to possess fine-grained spatial perception and reasoning capabilities, and given that existing MLLMs are somewhat lacking in exploring 3D spaces, this paper further proposes an instruction fine-tuning strategy integrated with 3D spatial knowledge, which has been validated experimentally for its effectiveness. Additionally, to enhance the understanding of the efficiency of MLLM for UAV tasks, this paper delves into prompt fine-tuning templates tailored for UAV task decomposition. Through experimental demonstrations, we showcase that the prompt-tuned MLLM exhibits efficient task decomposition and execution capabilities in handling complex UAV tasks.

关键词： Three-dimensional displays Large language models Urban areas Land transportation Autonomous aerial vehicles Cognition Space exploration Planning

来源：评论

学校读者我要写书评

暂无评论

Welcome Message from the Chairs

Proceedings - IEEE International Symposium on Circuits and S...

引用

Proceedings - ieee International symposium on Circuits and Systems 2023年 2023-May卷

作者： Rabaey, Jan Murmann, Boris Ieee Iscas 2023

来源：评论

学校读者我要写书评

暂无评论

Point-Query Quadtree for Crowd Counting, Localization, and More

Point-Query Quadtree for Crowd Counting, Localization, and M...

引用

International Conference on Computer Vision (ICCV)

作者： Chengxin Liu Hao Lu Zhiguo Cao Tongliang Liu Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology China The University of Sydney Australia

We show that crowd counting can be viewed as a decomposable point querying process. This formulation enables arbitrary points as input and jointly reasons whether the points are crowd and where they locate. The querying processing, however, raises an underlying problem on the number of necessary querying points. Too few imply underestimation; too many increase computational overhead. To address this dilemma, we introduce a decomposable structure, i.e., the point-query quadtree, and propose a new counting model, termed Point quEry Transformer (PET). PET implements decomposable point querying via data-dependent quadtree splitting, where each querying point could split into four new points when necessary, thus enabling dynamic processing of sparse and dense regions. Such a querying process yields an intuitive, universal modeling of crowd as both the input and output are interpretable and steerable. We demonstrate the applications of PET on a number of crowd-related tasks, including fully-supervised crowd counting and localization, partial annotation learning, and point annotation refinement, and also report state-of-the-art performance. For the first time, we show that a single counting model can address multiple crowd-related tasks across different learning paradigms. Code is available at https://***/cxliu0/PET.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Hierarchical Modeling Method for Complex Engineering System with Hybrid Dynamics

A Hierarchical Modeling Method for Complex Engineering Syste...

引用

ieee symposium Series on computational intelligence (SSCI)

作者： Ruihua Wang Xuelei Wang Jiechao Yang Liwen Kang Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728190495

Complex engineering systems can be continuous, discrete, as well as hybrid. Comparing with other kinds of complex engineering systems, the hybrid one is the most difficult to be analyzed because of its combination of continuous and discrete behaviors of the system, as well as the internal and external uncertainties. It is necessary to model and simulate the complex engineering system to explore its dynamics and evaluate the effect of different management strategies. Existing modeling and simulation methods of complex engineering systems, especially hybrid system, mostly focus on solving problems in specific systems or scenarios, neglecting the reusability and simplicity of methods. In this paper, a universal hierarchical modeling method for complex engineering system is proposed, which illustrates how to deal with continuous and discrete dynamics, and hybrid simulation method is applied to verify the feasibility and availability. A copper smelter is taken as one case of complex engineering system, and the production process in the smelter is described by the proposed method. Results of simulation show that the universal hierarchical modeling method can describe complex dynamics in the system properly and simply, which contributes to the study on complex engineering system.

关键词： Uncertainty Object oriented modeling computational modeling Digital twin Production Reliability engineering Copper

来源：评论

学校读者我要写书评

暂无评论

Next generation control units simplifying industrial machine learning 29

Next generation control units simplifying industrial machine...

引用

ieee 29th International symposium on Industrial Electronics (ISIE)

作者： De Blasi, Stefano Engels, Elmar Bosch Rexroth AG Lohr Am Main Germany UAS Fulda Fulda Germany

ISBN: (纸本)9781728156354

The increasing amount of sensor data creates new possibilities through data-driven projects in industry. The demands on the final solution architecture are different and typically include at least one controller (e.g. PLC). In this paper, we focus on these industrial controllers and identify their possible roles in smart factories: Collection, distribution and pre-processing of field data, execution of intelligence and functionalities to ease rapid prototyping approaches. Furthermore, we specify the capabilities leading to the fulfillment of these roles and present an application example of drive anomaly detection to demonstrate how to setup an industrial controller for machine learning projects.

关键词： controllers for machine learning industrial automation real-time system

来源：评论

学校读者我要写书评

暂无评论

FALCON based Quantum Attack Secure Digital Signature Scheme for IEC 61850 GOOSE Messages

FALCON based Quantum Attack Secure Digital Signature Scheme ...

引用

ieee Industry Applications Society Annual Meeting (IAS)

作者： S.M. Suhail Hussain Mohd Asim Aftab Mohamed Zaery Syed Muhammad Amrr Charalambos Konstantinou Mohammad A. Abido Electrical Engineering Department King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia Interdisciplinary Research Center for Sustainable Energy Systems (IRC-SES) King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia K.A. CARE Energy Research & Innovation Center King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia Electrical and Mathematical Sciences and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Control & Instrumentation Engineering Department King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia

ISBN: (数字)9798350372717

ISBN: (纸本)9798350372724

The integration of digital technologies in substations offers numerous advantages, including real-time monitoring, predictive maintenance, and enhanced operational efficiency. However, increased automation also introduces cybersecurity vulnerabilities, particularly in protocols like IEC 61850, notably in the Generic Object-Oriented Substation Event (GOOSE) message. Although IEC 62351-6:2020 suggests security measures employing Hash-based Message Authentication Code (HMAC) and Galois Message Authentication Code (GMAC) for lower computational overhead, their reliance on symmetric key-based encryption poses challenges in key distribution. Moreover, with the advent of quantum computing, it becomes imperative for security schemes to be quantum attack resistant. This paper proposes usage of quantum-secure FALCON-based digital signature scheme (FDSS) to secure GOOSE messages. FALCON offers robust security against quantum attacks while maintaining efficient performance. The performance evaluation of FDSS for GOOSE messages is presented, demonstrating its viability for securing time-sensitive GOOSE messages.

关键词： Performance evaluation Resistance Substations Quantum computing Codes IEC Standards Computer security Digital signatures Message authentication Standards

来源：评论

学校读者我要写书评

暂无评论

Analysis and Design of a Guided Sampling based Path Planning using CNNs

Analysis and Design of a Guided Sampling based Path Planning...

引用

ieee International symposium on Industrial Electronics (ISIE)

作者： Aykut Ö zdemı r Seta O. Bogosyan Mechatronics Eng. Department Istanbul Technical University Istanbul TURKEY Control and Automation Eng. Department Istanbul Technical University Istanbul TURKEY

Intelligent sampling has a strong effect on path planning performance. Learning sampling distributions from the expert planning algorithm demonstrations could contribute to an optimized and improved planning performance. In this study, we offer a novel CNN-based network to predict suitable sampling distributions for a faster path planning process. We also propose several improvements and modifications to strengthen the link between intelligent sampling networks and path planning. Our proposed method is tested against the more commonly used random sampling approach in various conditions (i.e. three different sample sizes, two different path planners). The test results showed that the proposed method is remarkably more sample efficient when compared with conventional planning approaches on large sample sets. Additionally, this novel approach results in a more user-friendly and intuitive design, with much less computational parameters, hence, in a path planning approach that is more convenient for real-time implementation.

关键词： Industrial electronics Service robots Prediction algorithms Path planning Real-time systems Planning

来源：评论

学校读者我要写书评

暂无评论

Lightweight Image Super-Resolution via Dual Feature Aggregation Network

Lightweight Image Super-Resolution via Dual Feature Aggregat...

引用

2021 International Conference on Culture-Oriented Science and Technology, ICCST 2021

作者： Li, Shang Zhang, Guixuan Luo, Zhengxiong Liu, Jie Zeng, Zhi Zhang, Shuwu School of Artificial Intelligence China

ISBN: (纸本)9781665442541

With the power of deep learning, super-resolution (SR) methods enjoy a dramatic boost of performance. However, they usually have a large model size and high computational complexity, which hinders the application in devices with limited memory and computing power. Some lightweight SR methods solve this issue by directly designing shallower architectures, but it will affect SR performance. In this paper, we propose the dual feature aggregation strategy (DFA). It enhances the feature utilization via feature reuse, which largely improves the representation ability while only introducing marginal computational cost. Thus, a smaller model could achieve better cost-effectiveness with DFA. Specifically, DFA consists of local and global feature aggregation modules (LAM and GAM). They work together to further fuse hierarchical features adaptively along the channel and spatial dimensions. Extensive experiments suggest that the proposed network performs favorably against the state-of-the-art SR methods in terms of visual quality, memory footprint, and computational complexity. © 2021 ieee.

关键词： Cost effectiveness

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 << < 124 125 126 127 128 129 130 131 132 133 > >>

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：