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

36,500 篇 会议
350 篇 期刊文献
30 册 图书
1 篇 学位论文
1 篇 科技报告

馆藏范围

36,882 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

21,173 篇 工学
- 15,910 篇 计算机科学与技术...
- 8,273 篇 软件工程
- 6,680 篇 电气工程
- 4,479 篇 控制科学与工程
- 4,284 篇 信息与通信工程
- 1,604 篇 电子科学与技术（可...
- 1,418 篇 机械工程
- 1,031 篇 仪器科学与技术
- 795 篇 动力工程及工程热...
- 703 篇 生物医学工程（可授...
- 700 篇 交通运输工程
- 691 篇 生物工程
- 654 篇 安全科学与工程
- 444 篇 光学工程
- 374 篇 网络空间安全
- 326 篇 航空宇航科学与技...
- 323 篇 建筑学
- 307 篇 石油与天然气工程
4,270 篇 理学
- 2,091 篇 数学
- 1,020 篇 物理学
- 811 篇 系统科学
- 748 篇 生物学
- 513 篇 统计学（可授理学、...
3,400 篇 管理学
- 2,823 篇 管理科学与工程(可...
- 1,223 篇 工商管理
- 806 篇 图书情报与档案管...
794 篇 医学
- 646 篇 临床医学
- 438 篇 基础医学(可授医学...
337 篇 法学
- 300 篇 社会学
322 篇 经济学
- 320 篇 应用经济学
162 篇 农学
134 篇 教育学
78 篇 军事学
62 篇 文学
32 篇 艺术学

主题

5,909 篇 real-time system...
4,006 篇 real time system...
2,272 篇 embedded systems
1,838 篇 hardware
1,374 篇 computer archite...
1,348 篇 computational mo...
1,279 篇 control systems
1,237 篇 application soft...
1,100 篇 embedded system
1,059 篇 monitoring
820 篇 protocols
790 篇 accuracy
700 篇 cameras
666 篇 processor schedu...
625 篇 cloud computing
619 篇 wireless sensor ...
613 篇 robot sensing sy...
605 篇 field programmab...
590 篇 internet of thin...
583 篇 training

机构

58 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 centre for high ...
21 篇 tsinghua univers...
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...
25 篇 rinner bernhard
24 篇 moris behnam
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

36,280 篇 英文
437 篇 其他
145 篇 中文
8 篇 土耳其文
6 篇 西班牙文
3 篇 葡萄牙文
2 篇 法文
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 36882 条记录，以下是361-370 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：

Framework Design of Fault Diagnosis System Based on Improved LSTM Networks

Framework Design of Fault Diagnosis System Based on Improved...

引用

Power Electronics, Computer applications (ICPECA), ieee international conference on

作者： Yixin Wang University of Geosciences (Wuhan) Wuhan China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

In the current era of high industrialisation, fault diagnosis of complex industrial systems is facing unprecedented challenges. Traditional fault diagnosis methods based on physical models and signal processing gradually show their limitations, especially when facing nonlinear and nonsmooth signals as well as fusion of multi-source information. In this paper, we propose a framework design of a fault diagnosis system based on a long short-term memory network (LSTM) with improved attention mechanism. The system employs high-precision sensors to collect real-time operating signals from key components, and analyses and diagnoses these signals through a deep learning model to quickly and accurately determine whether there is a fault in the equipment and provide detailed fault type and location information. In particular, an attention mechanism is introduced to enhance the model's focus on key features in the fault signals, thereby improving the accuracy and reliability of fault diagnosis. Experimental results show that the proposed LSTM-Attention network performs well on the bearing fault dataset and achieves high classification accuracy.

关键词： Fault diagnosis Deep learning Attention mechanisms Accuracy Signal processing Sensor systems real-time systems Power electronics Sensors Long short term memory

来源：评论

学校读者我要写书评

暂无评论

Authentication and Verification in Human-Robot Cooperative Robotic Cells using Stereo Vision and Gesture Control

Authentication and Verification in Human-Robot Cooperative R...

引用

international Image Processing, applications and systems conference (IPAS)

作者： Gábor Kovács Tamás Szirányi Machine Perception Research Laboratory HUN-REN Institute for Computer Science and Control Budapest Hungary

ISBN: (数字)9798331506520

ISBN: (纸本)9798331506537

The integration of human-robot interaction (HRI) technologies with industrial automation has become increasingly essential for enhancing productivity and safety in manufacturing environments. In this paper, we propose a novel approach to address these challenges by using stereo vision and gesture control in cooperative robotic cells. Our system enables seamless authentication of operators and real-time verification of task execution, ensuring compliance with established protocols and safety *** features of our system include its gesture-based operation with gesture recognition algorithms, allowing operators to interact with robotic systems intuitively and efficiently. By leveraging stereo vision, our system accurately tracks the operators’ movement within the workspace, facilitating precise task execution and object *** present a detailed description of our system architecture, experimental configuration, and real-world performance assessment. Our results demonstrate the effectiveness and feasibility of our approach in enhancing operational efficiency, ensuring quality, and improving the overall user experience in industrial automation.

关键词： Automation Service robots Tracking Human-robot interaction Authentication systems architecture User experience real-time systems Stereo vision Safety

来源：评论

学校读者我要写书评

暂无评论

Early Detection and Self-Management of Diabetes Using Wearable Devices and Machine Learning applications 1

Early Detection and Self-Management of Diabetes Using Wearab...

引用

1st international conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Senapati, Madhusmita Dodia, Manish Kamal, Lubna Mahapatra, Hariballav Hudar, Jayant Maruti Khuntia, Monalisa School of Sports and Yogic Sciences KIIT UNIVERSITY Odisha Bhubaneswar India Veer Narmad University Gujarat Surat India State JLN HOMEOPATHIC MEDICAL COLLEGE Uttar Pradesh Lucknow India Sevayan Diabetes Centre Puri Shree Hospitals Department of Diabetology Odisha Bhubaneswar India University Switzerland Navi Mumbai India KIIT School of Rural Management KIIT Deemed to be University Odisha Bhubaneswar India

ISBN: (纸本)9798331518578

In order to lessen the burden on medical systems and improve patient results, the increasing incidence of diabetes has called for creative strategies for early identification and efficient self-management. When combined with machine learning (ML) applications, wearable technology has the potential to revolutionise the treatment of diabetes. These gadgets can continuously check vital physiological indicators including blood sugar levels, heart rate, activity patterns, and sleep quality since they are outfitted with sophisticated biosensors. This rich data stream may be analysed to find patterns, forecast trends, and offer tailored suggestions owing to the incorporation of ML techniques. ML-driven methods that use information from wearable technology and other medical sources to identify early indicators of glucose dysregulation-often before clinical symptoms appear-help predict diabetes upfront. Simultaneously, ML-powered self-management technologies assist people in making the best lifestyle decisions possible by offering real-time feedback and forecast insights. Features involving glycaemic trend projections, automated alerts for potential hypoglycemia or hyperglycemia, and tailored suggestions for food, exercise, and medication compliance enable consumers to maintain better glycaemic control. Additionally, by facilitating data sharing as well as remote surveillance, these devices can enhance patient-provider relations and guarantee prompt interventions. Considering its potential, issues like algorithm bias, data privacy, and availibility need to be resolved to guarantee fair and efficient use. This study examines how wearable technology and machine learning can work together to improve diabetes treatment by boosting proactive management, boosting early detection, and eventually raising the quality of life for those who have the disease. © 2025 ieee.

关键词： Diseases

来源：评论

学校读者我要写书评

暂无评论

Research on Noise Suppression and Signal Enhancement in Electricity Price Anomaly Detection

Research on Noise Suppression and Signal Enhancement in Elec...

引用

Power Electronics, Computer applications (ICPECA), ieee international conference on

作者： Xinru Chen Sa Zhao State Grid Shanghai South Power Supply Company Shanghai China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

As the key economic index of electricity market, electricity price is directly affected by the change of supply and demand balance. However, there are often various noises in the actual electricity market data, which makes the detection of electricity price anomalies difficult. Through effective noise suppression and signal enhancement, this paper proposes a method called PRO-WOA, which combines whale optimization algorithm and wavelet transform to achieve noise suppression and signal enhancement in power price anomaly detection. Taking the actual power trading data of a province in 2022 as the research object, we conducted comparative experiments on different models. The results show that PRO-WOA performs well in forecasting accuracy and real-time performance, significantly outperforming other comparison models.

关键词： Wavelet transforms Accuracy Electricity Biological system modeling Noise reduction Predictive models Electricity supply industry real-time systems Whale optimization algorithms Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

IoT-Based Autonomous Fire Mitigating Vehicle

IoT-Based Autonomous Fire Mitigating Vehicle

引用

Smart and Sustainable Developments in Electrical Engineering (SSDEE), ieee international conference on

作者： Snigdha Kurre Sunkara Nikitha M. G. V. Sai Lakshmi Kritika Bansal School of Electronics Engineering Vellore Institute of Technology-Amaravati Andhra Pradesh India

ISBN: (数字)9798331542108

ISBN: (纸本)9798331542115

Fire incidents in hazardous or remote areas require quick response to prevent extensive damage. This paper presents an IoT -based autonomous firefighting robot designed to detect fire hazards and provide real-time location data for emergency responders. The system is built using an Arduino micro controller and integrates GPS technology for precise tracking. This approach provides a cost-effective, efficient solution for early fire detection and response, with potential applications in environments requiring continuous monitoring.

关键词： Electrical engineering Electric potential real-time systems Hazards Sustainable development Robots Monitoring Global Positioning System

来源：评论

学校读者我要写书评

暂无评论

TrustMesh: A Blockchain-Enabled Trusted Distributed computing Framework for Open Heterogeneous IoT Environments

TrustMesh: A Blockchain-Enabled Trusted Distributed Computin...

引用

Working ieee/IFIP conference on Software Architecture

作者： Murtaza Rangwala Rajkumar Buyya Cloud Computing and Distributed Systems (CLOUDS) Laboratory School of Computing and Information Systems The University of Melbourne Australia

ISBN: (数字)9798331520908

ISBN: (纸本)9798331520915

The rapid evolution of Internet of Things (IoT) environments has created an urgent need for secure and trust-worthy distributed computing systems, particularly when dealing with heterogeneous devices and applications where centralized trust cannot be assumed. This paper proposes TrustMesh, a novel blockchain-enabled framework that addresses these challenges through a unique three-layer architecture combining permissioned blockchain technology with a novel multi-phase Practical Byzantine Fault Tolerance (PBFT) consensus protocol. The key innovation lies in TrustMesh’s ability to support non-deterministic scheduling algorithms while maintaining Byzantine fault tolerance, features traditionally considered mutually exclusive in blockchain systems. The framework supports a sophisticated resource management approach that enables flexible scheduling decisions while preserving the security guarantees of blockchain-based verification. Our experimental evaluation using a real-world cold chain monitoring scenario demonstrates that TrustMesh successfully maintains Byzantine fault tolerance with fault detection latencies under 150 milliseconds, while maintaining consistent framework overhead across varying computational workloads even with network scaling. These results establish TrustMesh’s effectiveness in balancing security, performance, and flexibility requirements in trustless IoT environments, advancing the state-of-the-art in secure distributed computing frameworks.

关键词： Fault tolerance Trusted computing Technological innovation Software architecture Scheduling algorithms Fault tolerant systems Trustless services Internet of Things Security Resource management

来源：评论

学校读者我要写书评

暂无评论

time-Constant Induced Memory Effect for Biomedical Radar Vital Signs Detection

Time-Constant Induced Memory Effect for Biomedical Radar Vit...

引用

ieee MTT-S international Microwave Bio conference ((IMBIOC)

作者： Syed Doha Uddin Christopher Williams Changzhi Li Electrical and Computer Engineering Texas Tech University Lubbock Tx USA

ISBN: (数字)9798331510473

ISBN: (纸本)9798331510480

applications of Doppler radar for vital signs have been studied and investigated for a long time, and significant strides towards implementing Doppler radar sensors for such applications have been made in recent years. Designing optimum hardware component values for AC coupling and baseband signal amplification for radar sensing applications remains challenging. The selection of capacitor value for $A C$ coupling has a significant impact on the accuracy of small movement detection due to the memory effect induced by the time constant. In this paper, a study on the induced timeconstant memory issue on data due to intermittent shifts in signal from radar has been conducted, and analysis regarding the correct selection of capacitor values to mitigate the problem is proposed via simulation and verified by experimental analysis.

关键词： Couplings Resistors Baseband Accuracy Capacitors Radar detection real-time systems Doppler radar Sensors Microwave amplifiers

来源：评论

学校读者我要写书评

暂无评论

AR/VR Digital Twin for Simulation and Data Collection of Robotic Environments

AR/VR Digital Twin for Simulation and Data Collection of Rob...

引用

ieee international conference on Autonomous Robot systems and Competitions (ICARSC)

作者： João G. Martins Karle Nutonen Paulo Costa Vladimir Kuts Tauno Otto Armando Sousa Marcelo R. Petry CRIIS - Centre for Robotics in Industry and Intelligent Systems INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal Faculty of Engineering University of Porto (FEUP) Porto Portugal ViruTech - Virumaa innovation center of digitalization and green technologies Taltech Virumaa College Kohtla-Jarve Estonia Department of Mechanical and Indusrial Taltech Tallinn Estonia

ISBN: (数字)9798331538606

ISBN: (纸本)9798331538613

Digital twins enable real-time modeling, simulation, and monitoring of complex systems, driving advancements in automation, robotics, and industrial applications. This study presents a large-scale digital twin-testing facility for evaluating mobile robots and pilot robotic systems in a research laboratory environment. The platform integrates high-fidelity physical and environmental models, providing a controlled yet dynamic setting for analyzing robotic behavior. A key feature of the system is its comprehensive data collection framework, capturing critical parameters such as position, orientation, and velocity, which can be leveraged for machine learning, performance optimization, and decision-making. The facility also supports the simulation of discrete operational systems, using predictive modeling to bridge informational gaps when real-time data updates are unavailable. The digital twin was validated through a matrix manufacturing system simulation, with an Augmented reality (AR) interface on the HoloLens 2 to overlay digital information onto mobile platform controllers, enhancing situational awareness. The main contributions include a digital twin framework for deploying data-driven robotic systems and three key AR/VR integration optimization methods. Demonstrated in a laboratory setting, the system is a versatile tool for research and industrial applications, fostering insights into robotic automation and digital twin scalability while reducing costs and risks associated with real-world testing.

关键词： Service robots Navigation Metaverse Databases Scalability Digital representation real-time systems Digital twins Mobile robots Robots

来源：评论

学校读者我要写书评

暂无评论

Complete Reconstruction of the Tongue Contour Through Acoustic to Articulatory Inversion Using real-time MRI Data

Complete Reconstruction of the Tongue Contour Through Acoust...

引用

international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Sofiane Azzouz Pierre-André Vuissoz Yves Laprie CNRS Inria Université de Lorraine Nancy France Inserm IADI U1254 Université de Lorraine Nancy France

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Acoustic articulatory inversion is a major processing challenge, with a wide range of applications from speech synthesis to feedback systems for language learning and *** recent years, deep learning methods have been applied to the inversion of less than a dozen geometrical positions corresponding to sensors glued to easily accessible articulators. It is therefore impossible to know the shape of the whole tongue from root to tip. In this work, we use high-quality real-time MRI data to track the contour of the tongue. The data used to drive the inversion are therefore the unstructured speech signal and the tongue contours. Several architectures relying on a Bi-LSTM including or not an autoencoder to reduce the dimensionality of the latent space, using or not the phonetic segmentation have been explored. The results show that the tongue contour can be recovered with a median accuracy of 2.21 mm (or 1.37 pixels) taking a context of 1 MFCC frame (static, delta and double-delta cepstral features).

关键词： Tongue Tracking Shape Magnetic resonance imaging Noise Natural languages Phonetics Sensor systems and applications real-time systems Speech synthesis

来源：评论

学校读者我要写书评

暂无评论

Advanced Automated Detection of Heart Diseases Using TQWT and Dual-Task Deep Learning Model

Advanced Automated Detection of Heart Diseases Using TQWT an...

引用

Industrial Electronics: Developments & applications (ICIDeA), ieee international conference on-

作者： Soubhagya Ranjan Prusty Sudhakar Sahu Sarita Nanda Satyaranjan Jena Chitralekha Jena Pradeep Kumar Sahu School of Electrical Engineering KIIT Deemed to be University Bhubaneswar India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

This study introduces a cutting-edge automated system for detecting and classifying 14 types of heart diseases, including arrhythmias and myocardial infarction, using ECG signals. The methodology leverages the Tunable-Q Wavelet Transform (TQWT) for precise feature extraction and Morphological Component Analysis (MCA) with SALSA for effective signal decomposition. A novel dual-task deep learning model, enhanced by a dynamic non-stationary redundancy factor, r(t,f)r(t, f)r(t,f), achieves exceptional accuracy (99.7%) while reducing computational cost by 25% and accelerating convergence by 30%. This approach offers a transformative solution for real-time heart disease diagnosis, advancing healthcare efficiency and patient outcomes.

关键词： Heart Deep learning Wavelet transforms Accuracy Computational modeling Redundancy Electrocardiography Wavelet analysis real-time systems Diseases

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 << < 33 34 35 36 37 38 39 40 41 42 > >>

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：