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

1,765 篇 会议
6 篇 期刊文献

馆藏范围

1,771 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,170 篇 工学
- 1,020 篇 计算机科学与技术...
- 739 篇 软件工程
- 379 篇 信息与通信工程
- 335 篇 控制科学与工程
- 219 篇 电气工程
- 182 篇 生物工程
- 108 篇 动力工程及工程热...
- 108 篇 安全科学与工程
- 104 篇 网络空间安全
- 99 篇 交通运输工程
- 93 篇 电子科学与技术（可...
- 90 篇 机械工程
- 81 篇 生物医学工程（可授...
- 64 篇 光学工程
- 64 篇 仪器科学与技术
- 64 篇 环境科学与工程（可...
- 61 篇 石油与天然气工程
494 篇 理学
- 221 篇 数学
- 189 篇 生物学
- 88 篇 物理学
- 70 篇 统计学（可授理学、...
- 45 篇 大气科学
328 篇 管理学
- 239 篇 管理科学与工程(可...
- 132 篇 工商管理
- 116 篇 图书情报与档案管...
88 篇 医学
- 60 篇 临床医学
- 59 篇 公共卫生与预防医...
- 58 篇 基础医学(可授医学...
74 篇 法学
- 61 篇 社会学
54 篇 经济学
- 54 篇 应用经济学
36 篇 农学
19 篇 教育学
2 篇 军事学
1 篇 文学

主题

134 篇 edge computing
109 篇 cloud computing
59 篇 internet of thin...
48 篇 real-time system...
39 篇 machine learning
35 篇 object detection
35 篇 deep learning
34 篇 fog computing
20 篇 reinforcement le...
18 篇 mobile edge comp...
18 篇 iot
16 篇 computational mo...
15 篇 big data
15 篇 forecasting
14 篇 blockchain
14 篇 accuracy
14 篇 computer vision
14 篇 training
12 篇 computer archite...
12 篇 face recognition

机构

34 篇 university of ch...
13 篇 institute of com...
9 篇 college of compu...
9 篇 telkom universit...
9 篇 beijing key labo...
8 篇 graphic era deem...
8 篇 faculty of infor...
7 篇 shenyang institu...
7 篇 school of comput...
7 篇 peng cheng labor...
6 篇 chinese academy ...
6 篇 tsinghua univers...
6 篇 beijing universi...
6 篇 lovely professio...
6 篇 pune
6 篇 school of comput...
6 篇 college of intel...
6 篇 department of el...
6 篇 school of comput...
5 篇 maharashtra pune

作者

6 篇 jafar saniie
5 篇 anjali t.
5 篇 yin zhenyu
5 篇 singh kamred udh...
5 篇 abhishek s.
5 篇 wang wei
5 篇 raman ramakrishn...
5 篇 mariano vladimir...
5 篇 yu bo
5 篇 wang peng
5 篇 zuo guoyu
4 篇 li yang
4 篇 li li
4 篇 liu yang
4 篇 guoyu zuo
4 篇 kumar narendra
4 篇 singh teekam
4 篇 kumar ankit
4 篇 kumar rakesh
4 篇 lantao liu

语言

1,756 篇 英文
15 篇 其他

检索条件"任意字段=2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023"

共 1771 条记录，以下是71-80 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：

Message from the conference organizers

Message from the conference organizers

引用

ieee international conference on real-time computing and robotics (rcar)

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Analysis and Design of an Edge computing Enabled real-time Object Detection Platform for Drone-as-a-Service using Network Calculus

Analysis and Design of an Edge Computing Enabled Real-Time O...

引用

ieee international conference on Communications (ieee ICC)

作者： Zhou, Boyang Cheng, Ryan Khanolkar, Unmesh Cheng, Liang Lehigh Univ Dept Elect & Comp Engn Bethlehem PA 18015 USA Choate Rosemary Hall 333 Christian St Wallingford CT 06492 USA Univ Toledo Dept Elect Engn & Comp Sci Toledo OH 43606 USA

ISBN: (纸本)9781538674628

Numerous Drone-as-a-Service (DaaS) applications, such as surveillance, search and rescue, and infrastructure inspection, may employ real-time object detection to achieve computer vision-based autonomous functions. However, running object detection algorithms, e.g., YOLO, locally on a drone requires extensive computational power, which is expensive in terms of cost and energy consumption. Conversely, edge computing facilitates the implementation of an affordable and efficient platform where drones compress and transmit images to an edge server for real-time object detection. Nevertheless, DaaS designers applying Edge computing Enabled real-time Object Detection (ECOD) must be cognizant of the network design and performance of the ECOD platform to ensure object detection in real-time. In our research, we propose an approach to analyzing the delay performance of an ECOD platform utilizing network calculus. A testbed was implemented to evaluate the effectiveness of this approach. The analysis result provides principled guidance for the ECOD platform design lacking in previous studies. Examples are provided in this paper to illustrate how to apply the guidance to the ECOD platform design in terms of traffic profile, network capacity, and delay requirements in DaaS.

关键词： Drone-as-a-Service Edge computing Delay analysis Network calculus

来源：评论

学校读者我要写书评

暂无评论

real-time Onboard Object Detection for Augmented reality: Enhancing Head-Mounted Display with YOLOv8 7

Real-Time Onboard Object Detection for Augmented Reality: En...

引用

7th ieee international conference on Edge computing and Communications (ieee EDGE) / ieee World Congress on Services (SERVICES)

作者： Lysakowski, Mikolaj Zywanowski, Kamil Banaszczyk, Adam Nowicki, Michal R. Skrzypczynski, Piotr Tadeja, Slawomir K. Poznan Univ Tech Ctr Artificial Intelligence & Cybersecur Poznan Poland Poznan Univ Tech Inst Robot & Machine Intelligence Poznan Poland Univ Cambridge Inst Mfg Dept Engn Cambridge England

ISBN: (纸本)9798350304831

This paper introduces a software architecture for real-time object detection using machine learning (ML) in an augmented reality (AR) environment. Our approach uses the recent state-of-the-art YOLOv8 network that runs onboard on the Microsoft HoloLens 2 head-mounted display (HMD). The primary motivation behind this research is to enable the application of advanced ML models for enhanced perception and situational awareness with a wearable, hands-free AR platform. We show the image processing pipeline for the YOLOv8 model and the techniques used to make it real-time on the resource-limited edge computing platform of the headset. The experimental results demonstrate that our solution achieves real-time processing without needing offloading tasks to the cloud or any other external servers while retaining satisfactory accuracy regarding the usual mAP metric and measured qualitative performance.

关键词： augmented reality machine learning real-time object detection edge computing

来源：评论

学校读者我要写书评

暂无评论

An Unknown Risk Analysis and Evaluation Method for Distribution Edge computing Networks 3

An Unknown Risk Analysis and Evaluation Method for Distribut...

引用

3rd international conference on robotics, Automation and Intelligent Control, ICRAIC 2023

作者： Ni, Hua Lin, Yifu Chen, Xue Shanghai Academy of Artificial Intelligence Industrial Technology Shanghai China State Grid Fujian Electric Power Co. Ltd. Fuzhou China State Grid Fujian Economic Research Institute Fuzhou China

ISBN: (纸本)9798350360813

Distribution edge computing networks require robust risk analysis and evaluation, especially for unknown attacks. This work addresses unknown risk analysis using the Bayesian hazard graph, proposing an algorithm tailored to the context of edge computing networks. The algorithm calculates unknown risks using a noise model and incorporates the CVSS scoring standard to create a conditional probability table. It continuously updates probability distributions with known information and real-time feedback, making it well-suited for distribution edge computing networks. © 2023 ieee.

关键词： Risk analysis

来源：评论

学校读者我要写书评

暂无评论

Two-Stage Visual Detection of Micro-Objects: Theory and Experiments

Two-Stage Visual Detection of Micro-Objects: Theory and Expe...

引用

ieee international conference on real-time computing and robotics (rcar)

作者： Hao Liu Hang Yu Ke Ding Xiang Li Tsinghua Shenzhen International Graduate School Tsinghua University China Foshan Hinyeung Tech Limited China Department of Automation Tsinghua University China

As one of few effective perception measures in the micro world, vision provides important feedback about the position of micro-objects; Different from the visual perception at the macro scale, the perception in the micro world is facing its own challenges. For example, multiple micro-objects often sway in the medium or overlap at different depths; The environment is dynamic in the sense that some objects may enter or leave the field of view during the manipulation. This paper reports the development of a deep vision network for micromanipulation, which is able to detect micro-objects and output its real-time position with high accuracy and robustness. In addition, a position correction algorithm is proposed to calculate the position offset through the pre-sequence time series, to further improve the position information generated by the network. Experimental results are presented to illustrate the effectiveness of the proposed method, that is, small tracking errors have been obtained for the detection of micro-objects; Moreover, such detection results are also with high success rate and stability for the micromanipulator.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Elastic DNN Inference with Unpredictable Exit in Edge computing 43

Elastic DNN Inference with Unpredictable Exit in Edge Comput...

引用

43rd ieee international conference on Distributed computing Systems (ICDCS)

作者： Huang, Jiaming Gao, Yi Dong, Wei Zhejiang Univ Coll Comp Sci Hangzhou Peoples R China

ISBN: (纸本)9798350339864

Multi-exit neural networks have recently boomed in edge computing to maximize the computing power of different devices. However, many real-time tasks running on edge computing applications have encountered unpredictable exiting frequently due to system power outages, high-priority preemption, etc., which have been overlooked by multi-exit models until now. To tackle this issue, it is critical to decide at which branch the multi-exit model exits so that the unpredictable exit will always come with desirable results. In this paper, we propose EINet, a sample-wise planner of real-time multi-exit deep neural networks, which achieves efficient Elastic Inference with unpredictable exit while guaranteeing best-effort accuracy on different edge platforms. Therefore, a given trained deep neural network is first partitioned into multiple blocks with one exit each by EINet. Then EINet obtains the block-wise model profiles, including the block-wise accuracy and inference time. Using the model profiles, EINet is able to dynamically determine which exits to take during the inference task for each sample. We introduce Confidence Score Predictors to dynamically adapt the uniqueness of the input samples, and the Search Engine to efficiently find the near-optimal plan during the elastic inference. EINet is evaluated extensively using multiple DNNs and datasets with unpredictable exits. Results show that EINet can achieve the highest average accuracy compared with multiple baselines.

关键词： Multi-exit unpredictable exit elastic inference real-time DNN task edge computing

来源：评论

学校读者我要写书评

暂无评论

VGRISys: A Vision-Guided Robotic Intelligent System for Autonomous Instrument Calibration

VGRISys: A Vision-Guided Robotic Intelligent System for Auto...

引用

2023 ieee international conference on robotics and Biomimetics, ROBIO 2023

作者： Li, Zhenqi Wang, Hewei Li, Yijie Dev, Soumyabrata Zuo, Guoyu Beijing University of Technology Beijing-Dublin International College Beijing100124 China University College Dublin School of Computer Science Dublin Ireland Beijing University of Technology Faculty of Information Technology Beijing100124 China Beijing Key Laboratory of Computing Intelligence and Intelligent Systems Beijing100124 China

ISBN: (纸本)9798350325706

With the increasing sophistication of musical instruments and the importance of precise tuning, a novel and efficient approach to instrument calibration is of significant necessity. This paper presents VGRISys, an innovative system leveraging robotics and artificial intelligence to facilitate the intricate process of instrument tuning. VGRISys incorporates a multi-axis robotic arm, meticulously engineered for fine-tuned physical interaction with various musical instruments, alongside an intelligent system that guides the robotic arm using real-time audio feedback analysis. In addition, it employs advanced signal processing and machine learning algorithms, allowing the system to identify pitch discrepancies and respond with appropriate corrective action. VGRISys remarkably reduces the time required for instrument tuning, thus improving efficiency and democratizing access to high-quality tuning. Furthermore, the system's machine learning capabilities allow it to refine its tuning process over repeated operations, providing a scalable solution to the ever-evolving complexities of instrument tuning. The exploration and development of VGRISys contribute significantly to the wider fields of robotics, artificial intelligence, and music technology. © 2023 ieee.

关键词：

来源：评论

学校读者我要写书评

暂无评论

realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators 22

Realtime Facial Expression Recognition: Neuromorphic Hardwar...

引用

22nd ieee international conference on Machine Learning and Applications, ICMLA 2023

作者： Smith, Heath Seekings, James Mohammadi, Mohammadreza Zand, Ramtin University of South Carolina Department of Computer Science and Engineering ColumbiaSC29208 United States

ISBN: (纸本)9798350345346

The paper focuses on real-time facial expression recognition (FER) systems as an important component in various real-world applications such as social robotics. We investigate two hardware options for the deployment of FER machine learning (ML) models at the edge: neuromorphic hardware versus edge AI accelerators. Our study includes exhaustive experiments providing comparative analyses between the Intel Loihi neuromorphic processor and four distinct edge platforms: Raspberry Pi-4, Intel Neural Compute Stick (NSC), Jetson Nano, and Coral TPU. The results obtained show that Loihi can achieve approximately two orders of magnitude reduction in power dissipation and one order of magnitude energy savings compared to Coral TPU which happens to be the least power-intensive and energy-consuming edge AI accelerator. These reductions in power and energy are achieved while the neuromorphic solution maintains a comparable level of accuracy with the edge accelerators, all within the real-time latency requirements. © 2023 ieee.

关键词： Convolutional Neural Networks (CNNs) Edge computing Facial Expression Recognition Neuromorphic computing Spiking Neural Networks (SNNs)

来源：评论

学校读者我要写书评

暂无评论

Accuracy evaluations of real-time LiDAR-based indoor localization system

Accuracy evaluations of real-time LiDAR-based indoor localiz...

引用

ieee international conference on Consumer Electronics (ICCE)

作者： Nimura, Misa Kanai, Kenji Katto, Jiro Waseda Univ Dept Comp Sci & Commun Engn Tokyo Japan Waseda Univ Waseda Res Inst Sci & Engn Tokyo Japan

ISBN: (纸本)9781665491303

Recently, thanks to advancing computing power and evolving image and sensor processing, SLAM (Simultaneous Localization and Mapping) is collecting much attention in broad areas. Inspired by the former research efforts on SLAM, we develop a real-time LiDAR-based indoor localization system in this paper. The system estimates the user's self-position by using LiDAR SLAM and Visual-Inertial Odometry (VIO) and visualizes the user's time-series positions on the building floor map (global map) by adopting a 2D-to-2D localization method. For the system validation, we designed and implemented the prototype handheld system and carried out the validation tests on one floor of our university building. The validation tests confirmed that the system achieves real-time indoor localization.

关键词： LiDAR SLAM Indoor localization ROS Edge computing

来源：评论

学校读者我要写书评

暂无评论

Research on the Design and Application of House Price Prediction Algorithms and Model Based on Machine Learning

Research on the Design and Application of House Price Predic...

引用

2023 international conference on Internet of Things, robotics and Distributed computing, ICIRDC 2023

作者： Chen, Kexin Huang, Jianhui International School Beijing University of Posts and Telecommunications Beijing China Institute of Computing Technology Chinese Academy Beijing China

ISBN: (纸本)9798350375275

With the development of the socio-economy, the real estate industry has grown rapidly worldwide. Housing prices, as an important indicator for measuring a city's economic development level, have significant impacts on people's lives, work, investments, and other aspects. Therefore, how to accurately predict housing prices has become a highly researched area of interest. In recent years, the continuous development and application of machine learning technology have provided new solutions for predicting housing prices. This article aims to study the data processing flow for housing price prediction. Through comparing and analyzing different algorithms, we will derive the optimal data processing flow and housing price prediction model, validate its prediction accuracy and stability, provide a reliable tool for the real estate industry, help make more scientific and precise decisions, and promote the continuous development of the industry. © 2023 ieee.

关键词： Forecasting

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178页 << < 4 5 6 7 8 9 10 11 12 13 > >>

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：