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

36,643 篇 会议
343 篇 期刊文献
31 册 图书
1 篇 学位论文

馆藏范围

37,018 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

21,227 篇 工学
- 15,943 篇 计算机科学与技术...
- 8,292 篇 软件工程
- 6,694 篇 电气工程
- 4,501 篇 控制科学与工程
- 4,291 篇 信息与通信工程
- 1,606 篇 电子科学与技术（可...
- 1,420 篇 机械工程
- 1,034 篇 仪器科学与技术
- 802 篇 动力工程及工程热...
- 707 篇 交通运输工程
- 705 篇 生物医学工程（可授...
- 690 篇 生物工程
- 655 篇 安全科学与工程
- 445 篇 光学工程
- 377 篇 网络空间安全
- 329 篇 航空宇航科学与技...
- 326 篇 建筑学
- 308 篇 石油与天然气工程
4,277 篇 理学
- 2,098 篇 数学
- 1,020 篇 物理学
- 812 篇 系统科学
- 747 篇 生物学
- 517 篇 统计学（可授理学、...
3,409 篇 管理学
- 2,828 篇 管理科学与工程(可...
- 1,223 篇 工商管理
- 811 篇 图书情报与档案管...
794 篇 医学
- 645 篇 临床医学
- 439 篇 基础医学(可授医学...
338 篇 法学
- 301 篇 社会学
323 篇 经济学
- 321 篇 应用经济学
163 篇 农学
136 篇 教育学
79 篇 军事学
62 篇 文学
32 篇 艺术学

主题

5,962 篇 real-time system...
4,007 篇 real time system...
2,278 篇 embedded systems
1,843 篇 hardware
1,383 篇 computer archite...
1,360 篇 computational mo...
1,282 篇 control systems
1,239 篇 application soft...
1,103 篇 embedded system
1,077 篇 monitoring
825 篇 protocols
805 篇 accuracy
703 篇 cameras
666 篇 processor schedu...
631 篇 cloud computing
621 篇 wireless sensor ...
614 篇 robot sensing sy...
606 篇 field programmab...
594 篇 internet of thin...
585 篇 training

机构

57 篇 ieee
34 篇 school of comput...
29 篇 malardalen univ ...
23 篇 zhejiang univ co...
22 篇 inria
22 篇 institute of inf...
22 篇 tsinghua univers...
22 篇 centre for high ...
21 篇 mälardalen real-...
21 篇 lovely professio...
20 篇 department of co...
20 篇 department of el...
19 篇 college of compu...
19 篇 beijing key labo...
19 篇 natl univ singap...
19 篇 eindhoven univer...
18 篇 univ chinese aca...
18 篇 institute of inf...
17 篇 beijing key labo...
16 篇 nanyang technol ...

作者

49 篇 obermaisser roma...
24 篇 moris behnam
24 篇 rinner bernhard
21 篇 liu yang
19 篇 jian-jia chen
17 篇 catthoor francky
17 篇 bril reinder j.
17 篇 alois knoll
16 篇 hao zhang
15 篇 mohamed abid
15 篇 takada hiroaki
15 篇 li li
15 篇 shinpei kato
14 篇 lei wang
14 篇 rui wang
14 篇 dakai zhu
14 篇 rajkumar buyya
14 篇 dustdar schahram
14 篇 yi wang
14 篇 thomas nolte

语言

35,103 篇 英文
1,751 篇 其他
147 篇 中文
8 篇 土耳其文
6 篇 西班牙文
2 篇 法文
2 篇 葡萄牙文
2 篇 俄文
1 篇 捷克文

检索条件"任意字段=IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

共 37018 条记录，以下是1581-1590 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 Comprehensive Analysis of optimization of task scheduling algorithms for IOT applications in a Combined Environment of Cloud, Fog and Edge 3

A Comprehensive Analysis of optimization of task scheduling ...

引用

3rd international conference on Smart Technologies and systems for Next Generation computing, ICSTSN 2024

作者： Sarumathi, S. Vijayalakshmi, K. Ramco Institute of Technology Department of CSE Rajapalayam India

ISBN: (数字)9798350391565

ISBN: (纸本)9798350391565

Optimising the use of resources in data centres requires effective task scheduling on the cloud. As 5G and IoT applications proliferated and produced a vast amount of jobs with strict latency requirements, it became even more difficult. The mid-layer(fog), a layer that complements cloud computing, is born out of this. Because network processing is done closer to end devices and users in fog computing, task latency can be decreased. However, because there aren't enough resources available, not all the jobs can be scheduled in the fog. Better quality of service can only be attained by using specifically created and fine-tuned scheduling algorithms, as conventional scheduling algorithms frequently fall short in utilising the diverse resources. This research delves into a wide range of aspects about the most recent work scheduling algorithms used in cloud and fog environments. In this study, we are going to analyse various scheduling algothims based on optimization methods Constraints such as energy efficiency, time efficiency and cost efficiency based scheduling. In contrast to a packages of jobs and resources, a larger percentage of tasks are autonomous, and the majority of scheduling algorithms have been found to be dynamic and non- preemptive in nature. From this study various scheduling objectives are derived based on Quality metrics such as makespan, resource utilization, delay, load balancing, and energy consumption. © 2024 ieee.

关键词： Scheduling algorithms

来源：评论

学校读者我要写书评

暂无评论

time-Triggered Inference on FPGAs 29

Time-Triggered Inference on FPGAs

引用

29th ieee international conference on Emerging Technologies and Factory Automation, ETFA 2024

作者： Bebawy, Yosab Schmidt, Michael-Christian Ahmadian, Hamidreza Ezekiel, Aniebiet Micheal Obermaisser, Roman University of Siegen Embedded Systems Faculty Iv Germany Eskitec GmbH Germany

ISBN: (纸本)9798350361230

Safety-critical AI systems demand the utmost reliability to prevent catastrophic outcomes. However, conventional AI hardware accelerators, such as the Versatile Tensor Accelerator (VTA), suffer from limitations in predictability and reliability due to inherent variability in event-driven task execution and the lack of precise timing control. These limitations make them unsuitable for safety-critical applications where erroneous or untimely operations could lead to catastrophic consequences. This paper proposes a novel time-triggered VTA (TT-VTA) architecture specifically designed to address the shortcomings of conventional VTAs and enhance safety and reliability in safety-critical AI systems. The TT-VTA architecture utilizes pattern-based timing schedules which are generated by a software simulator that integrates DRAMSim2 to simulate memory-related instructions as well as by a cycle-accurate simulator to provide accurate cycle counts for non-memory-related instructions. A comparative evaluation using a ResNet18 classification model demonstrates that the TT-VTA achieves identical classification accuracy while maintaining deterministic resource utilization and enabling precise timing control. Our proposed TT-VTA architecture demonstrates significant promise for enhancing the safety and reliability of AI systems in safety-critical applications. © 2024 ieee.

关键词： Tensors

来源：评论

学校读者我要写书评

暂无评论

Weed Detection in Farmlands using RCNN 3

Weed Detection in Farmlands using RCNN

引用

3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Sivakumar, V. Lokit Sushruth, T. Jayaa Suthersen, A.R. Gugan, S.K. Vellore Institute of Technology Vellore India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527549

Detection and classification of weeds are important for the optimization of farming applications as it allows to identify species so that they can be removed, competing with others who need nutrients to grow their crop. A variety of methods have been used in different research studies but there still exists a research gap for a comprehensive comparative analysis of multiple machine learning models. Here, we attempt to provide a comparative study for classic/not ensemble (Support Vector Machines (SVM), Random Forest etc.) machine learning models with Region-Based CNNs (RCNN). Last, we stack LSTM (a type of RNN) onto the model to making it more powerful with respect to time learning and performance.1300 images of sesame crops and different types of weeds, serving as a proxy for diverse agricultural scenarios. The proposed weed detection and classification technique demonstrates strong potential for practical applications, particularly when integrated with autonomous robots for real-time field deployment. The study contributes to the field of precision agriculture by providing comparative insights into machine learning and deep learning models, emphasizing the importance of temporal learning for weed management. © 2025 ieee.

关键词： Support vector machines Precision agriculture Crops Nutrients real-time systems Internet of Things Long short term memory Random forests Optimization Farming

来源：评论

学校读者我要写书评

暂无评论

HybVIO: Pushing the Limits of real-time Visual-inertial Odometry 22

HybVIO: Pushing the Limits of Real-time Visual-inertial Odom...

引用

22nd ieee/CVF Winter conference on applications of Computer Vision (WACV)

作者： Seiskari, Otto Rantalankila, Pekka Kannala, Juho Ylilammi, Jerry Rahtu, Esa Solin, Arno Spectacular AI Helsinki Finland Aalto Univ Espoo Finland Tampere Univ Tampere Finland

ISBN: (纸本)9781665409155

We present HybVIO, a novel hybrid approach for combining filtering-based visual-inertial odometry (VIO) with optimization-based SLAM. The core of our method is highly robust, independent VIO with improved IMU bias modeling, outlier rejection, stationarity detection, and feature track selection, which is adjustable to run on embedded hardware. Long-term consistency is achieved with a loosely-coupled SLAM module. In academic benchmarks, our solution yields excellent performance in all categories, especially in the real-time use case, where we outperform the current state-of-the-art. We also demonstrate the feasibility of VIO for vehicular tracking on consumer-grade hardware using a custom dataset, and show good performance in comparison to current commercial VISLAM alternatives.

关键词： Computer vision Simultaneous localization and mapping Benchmark testing Feature extraction real-time systems Hardware

来源：评论

学校读者我要写书评

暂无评论

Machine Learning and Artificial Intelligence Algorithms that Minimize Power Consumption in Internet of Things Gadgets

Machine Learning and Artificial Intelligence Algorithms that...

引用

2023 international conference on Innovative computing, Intelligent Communication and Smart Electrical systems, ICSES 2023

作者： Berin Shalu, S. Vergin Raja Sarobin, M. VIT Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350319200

The exponential growth of IoT gadgets has enabled previously unimaginable levels of connectedness and convenience, but it has also introduced a significant new difficulty: battery life. In this study, we investigate how artificial intelligence (AI) and machine learning may be used to cut down on power usage in Internet of Things (IoT) devices. With an emphasis on data-driven insights and fictitious data situations, we provide a systematic technique for data collecting, algorithm creation, and rigorous testing. Our results show that by combining Q-learning with supervised learning and statistical analysis, considerable gains in energy efficiency may be achieved. There is strong statistical evidence that data transmission operations may reduce their energy footprint by 25%. In addition to the technical details, we explore the practical ramifications of our study, such as increased battery life, reduced environmental impact, and reduced expenses. Insights into the revolutionary potential of machine learning and AI in transforming the IoT landscape towards a more sustainable and user-centric future are provided in this research paper, which may be used as a practical guide by industry experts, academics, and policymakers. We also provide an overview of promising future avenues for improving IoT power management and scalability, such as the use of sophisticated reinforcement learning models, the incorporation of energy harvesting, and real-time adaption. © 2023 ieee.

关键词： Artificial Intelligence (AI) Battery Life Extension Internet of Things (IoT) Machine Learning Power Consumption Q-learning real-world applications Reinforcement Learning Models Scalability Statistical Analysis Supervised Learning

来源：评论

学校读者我要写书评

暂无评论

Prediction of Human Age and Gender Using Deep Learning For Smart Security systems 2

Prediction of Human Age and Gender Using Deep Learning For S...

引用

2nd ieee international conference on Distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Kinthadi, Durga Bhavani Burugu, Abhishekar Rumandla, Anish Sujana, S. Vardhaman College of Engineering Dept. of Ece Telangana Hyderabad India

ISBN: (纸本)9798350347456

The demand for accurate identification and verification of a person has increased as the number of smart security systems has grown. In recent years, data from a human face has been used in numerous real-world applications, including social networking, security monitoring, advertising, and entertainment. Computer vision researchers have long been interested in this topic because automatic age and gender prediction from facial images is crucial for interpersonal communication. This work predicts that the gender will be either 'Male' or 'Female,' and that the age will be one of the following ranges: (0-5), (6-10), (11-17), (18-25), (25-32), (33-45), (46-55), (55-70). In the proposed system the images are preprocessed and then the convolutional neural networks are used to extract age and gender-related features and classified the images using the appropriate classifiers. The face images are taken from the UTK dataset and the proposed method achieved a training accuracy of 92.5% and a validation accuracy of 90%. © 2023 ieee.

关键词： Security systems

来源：评论

学校读者我要写书评

暂无评论

Particularities of Identification and Tuning of Linear systems with State Controllers Using Artificial Neural Networks

Particularities of Identification and Tuning of Linear Syste...

引用

2024 international conference on Industrial Engineering, applications and Manufacturing, ICIEAM 2024

作者： Anisimov, Anatolv A. Sorokovnin, Mark E. Tyutikov, Vladimir V. Ivanovo State Power Engineering University Department Of Electronics And Microprocessor Systems Ivanovo Russia Ivanovo State Power Engineering University Department Of Automation Of Technological Processes Ivanovo Russia

ISBN: (纸本)9798350395013

At present, state controllers are used to improve the quality of mechatronic systems control. The high potential of systems with such controllers can be implemented only if automatic tuning means are available. Since tuning is performed in real time mode, which places higher demands on performance, to reduce tuning time it is proposed to use an artificial neural network. However, under interference in measuring channels, the quality of parameter identification in the controlled object is significantly lowered. In this regard, the purpose of this study is to find the optimal composition of measuring channels at the network input, making it possible to minimize the impact of interference on estimates of object parameters to improve control quality. In the present study, an algorithm is proposed to optimize the positioning of measuring channels in the task of identifying and tuning control systems. As an optimality criterion, we use the information signal-to-interference power ratio at network inputs. © 2024 ieee.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Thinking and Moving: An Efficient computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI systems (Invited Paper) 24

Thinking and Moving: An Efficient Computing Approach for Int...

引用

43rd international conference on Computer-Aided Design, ICCAD 2024

作者： Wan, Zishen Du, Yuhang Ibrahim, Mohamed Zhao, Yang Krishna, Tushar Raychowdhury, Arijit Georgia Institute of Technology AtlantaGA United States University of Minnesota Twin Cities MinneapolisMN United States

ISBN: (纸本)9798400710773

Cooperative embodied AI systems, where multiple agents collaborate to accomplish complex, long-horizon tasks, show significant promise for real-world applications. These systems integrate perception, cognition, and action through integrated task and motion planning (TAMP), leveraging the advanced reasoning and communication capabilities of large language models (LLMs). However, their efficiency is often hindered by challenges such as high computational latency and redundant communication, largely due to the reliance on LLMs for sequential planning decisions. In this paper, we aim to identify the inherent characteristics and optimization opportunities in cooperative embodied AI systems. We first present a cognitive-inspired modular framework encompassing perception, memory, communication, planning, and execution. We then conduct a detailed profiling analysis of two state-of-the-art cooperative embodied systems, revealing the significance of each module and identifying critical bottlenecks such as redundant message pre-generation and excessive LLM usage in decision-making processes. Based on these insights, we propose several model- and system-level optimizations, including a planning-first communication strategy, selective multi-agent communication, and planning-guided multi-step execution. Evaluated across long-horizon cooperative tasks, these optimizations reduce the frequency of LLM inference runs, achieving an average 3.93× speedup in end-to-end task execution. Finally, we discuss the challenges and potential directions for embodied AI computing, to enhance system flexibility, efficiency, and scalability. © 2024 Copyright is held by the owner/author(s).

关键词：

来源：评论

学校读者我要写书评

暂无评论

2024 ieee 2nd international conference on Sensors, Electronics and Computer Engineering, ICSECE 2024

2024 IEEE 2nd International Conference on Sensors, Electroni...

引用

2nd ieee international conference on Sensors, Electronics and Computer Engineering, ICSECE 2024

ISBN: (纸本)9798350373646

The proceedings contain 331 papers. The topics discussed include: research on computer aided French audiovisual intelligence system;feature extraction and intelligent generation of spatial environment design combined with deep learning;a federated learning algorithm based on combination of prototype and comparative learning;research on the optimization of wind-solar energy storage systems in park microgrids based on mixed integer linear programming and Monte Carlo simulation;deep learning in biometric recognition: applications and challenges;design and research of virtual human based on deep learning and paddle model;a fault diagnosis method based on TCN-LSTM-SE neural networks for distributed PV systems;and research on real-time image data transmission system of UAV in fault location of distribution network.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Scheduling Performance Evaluation Framework for ROS 2 applications 24

Scheduling Performance Evaluation Framework for ROS 2 Applic...

引用

24th ieee international conference on High Performance computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in Sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Peng, Bo Hasegawa, Atsushi Azumi, Takuya Graduate School of Science and Engineering Saitama University Japan Research Institute of Systems Planning Japan

ISBN: (纸本)9798350319934

Recently, performance analysis research on self-driving software has attracted considerable attention because the development of self-driving software has increased performance needs. ROS 2 is an open-source application framework for robotics. Simultaneously, as the Executor is responsible for scheduling callbacks (the minimal schedulable entity) in ROS 2, the Executor's scheduling performance is one of the most crucial factors affecting the real-time performance of ROS 2. A performance evaluation tool for Executor scheduling is required to evaluate its performance. This paper proposes a tracing and performance analysis framework with instrumentation and tools for ROS 2 applications, with the visualization of Executor scheduling results and analysis of Executor deadline misses. The proposed framework can help researchers better understand and develop ROS 2 Executor by providing deadline miss analysis of the end-to-end path and the scheduling data. Furthermore, this paper verifies the proposed approach to the Autoware Reference System, which can simulate a real-world scenario to evaluate the performance of Executor. © 2022 ieee.

关键词： Open source software

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 << < 155 156 157 158 159 160 161 162 163 164 > >>

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：