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
- 15,912 篇 计算机科学与技术...
- 8,274 篇 软件工程
- 6,680 篇 电气工程
- 4,484 篇 控制科学与工程
- 4,289 篇 信息与通信工程
- 1,605 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...
- 702 篇 生物医学工程（可授...
- 699 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
- 377 篇 网络空间安全
- 325 篇 航空宇航科学与技...
- 322 篇 建筑学
- 310 篇 石油与天然气工程
4,274 篇 理学
- 2,094 篇 数学
- 1,020 篇 物理学
- 812 篇 系统科学
- 748 篇 生物学
- 513 篇 统计学（可授理学、...
3,402 篇 管理学
- 2,822 篇 管理科学与工程(可...
- 1,222 篇 工商管理
- 808 篇 图书情报与档案管...
797 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

5,908 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...
627 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

36,277 篇 英文
440 篇 其他
147 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471-480 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：

Low-Power MIPS32 Processor Design with Cache Implementation Using Clock Gating Techniques on FPGAs

Low-Power MIPS32 Processor Design with Cache Implementation ...

引用

Machine Learning and Autonomous systems (ICMLAS), international conference on

作者： Prasanth Varasala Babulu Kaparapu Kamaraju Maddu Department of ECE Pragati Engineering College Surampalem Andhrapradesh India Department of ECE Jawaharlal Nehru Technological University Viziayanagaram Vizianagaram Andhrapradesh India Department of ECE Seshadri Rao Gudlavalleru Engineering College Gudlavalleru Andhrapradesh India

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

This paper presents the design and implementation of a low-power MIPS32 processor with an integrated cache system, leveraging clock gating techniques to optimize power efficiency on Field-Programmable Gate Arrays (FPGAs). Clock gating is employed to reduce dynamic power consumption by selectively disabling the clock signal in inactive functional units, thereby minimizing unnecessary switching activity. The proposed architecture incorporates an optimized cache memory hierarchy to enhance performance while maintaining energy efficiency. Experimental results demonstrate significant reductions in power consumption without compromising processing speed., making this design well-suited for power-constrained applications such as embedded systems and IoT devices.

关键词： Performance evaluation Power demand Machine learning Voltage Switches Energy efficiency real-time systems Table lookup Field programmable gate arrays Clocks

来源：评论

学校读者我要写书评

暂无评论

Automated Traffic Sign Recognition via CNN Deep Learning

Automated Traffic Sign Recognition via CNN Deep Learning

引用

Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), ieee conference on

作者： K.V. Narasimha Reddy Yenuganti Narendra Medam Adi Nagamanendra Reddy Avula Ramu Dodda Venkata Reddy Sireesha Moturi Dept of CSE Narasaraopeta Engineering College Narasaraopeta India Dept of CSE Narasaropeta Engineering College Narasaraopeta India

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

The rapid development of the road traffic systems is a very important component of the nation’s infrastructure, and that is reflected in growing importance of the traffic safety. Traffic Sign Recognition (TSR) is an important field of research because traffic offenses, particularly the disregard for traffic signs, are a major contributor to accidents. This paper gives a comprehensive review of the latest developments in the area of traffic sign detection and recognition techniques with attention to the applications of CNNs. This paper discusses the need for traffic signs to be detected under complex conditions and proposes an architecture based on modified CNN that helps reduce the processing time and increase accuracy. Improving recognition accuracy in realistic environments is the motivation behind the CNN model, which has been architected for real-time training as well as target identification. Experiments suggest that this solution outperforms present intelligent driving systems and the state-of-the-art performance achieved by the image processing algorithms currently in use and traffic sign datasets.

关键词： Training Technological innovation Accuracy Target recognition Road safety real-time systems Road traffic Safety Convolutional neural networks Vehicles

来源：评论

学校读者我要写书评

暂无评论

Performance Optimization and Practical Exploration of Transformer Architecture in Speech Synthesis

Performance Optimization and Practical Exploration of Transf...

引用

Consumer Electronics and Computer Engineering (ICCECE), 2021 ieee international conference on

作者： Gengmei Yao Xiaoying Ye Computer Science Department Guangdong Neusoft Institute Foshan Guangdong China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

The Transformer architecture has been widely used in the field of speech synthesis due to its powerful modeling capabilities and flexibility. However, the existing Transformer architecture still encounters many performance limitations in practical operation, such as insufficient naturalness of sound quality, slow inference speed, poor cross language adaptability, and high computational resource consumption. In response to these issues, this article proposes a series of targeted performance optimization strategies, including improving the model architecture to enhance the naturalness of sound quality, accelerating the inference process to meet real-time requirements, enhancing the model's adaptability to multiple languages and cross domains, and adopting efficient algorithms and hardware optimization to reduce computational resource consumption. Through experimental verification, these optimization strategies effectively promote the performance improvement of speech synthesis systems, greatly enhancing their feasibility and efficiency in practical applications.

关键词： Adaptation models Computational modeling Process control Computer architecture Transformer cores Transformers real-time systems Multilingual Speech synthesis Optimization

来源：评论

学校读者我要写书评

暂无评论

Enhancing Software Defect Prediction:Integrating SAINT with Ant Colony Optimization and Explainable AI

Enhancing Software Defect Prediction:Integrating SAINT with ...

引用

international conference on Big Data and Smart computing (BIGCOMP)

作者： Sriman Mohapatra Eunjeong Ju Jeonghwa Lee Duksan Ryu Department of Software Engineering Jeonbuk National University Jeonju South Korea

ISBN: (数字)9798331529024

ISBN: (纸本)9798331529031

Software Defect Prediction (SDP) enhances software quality by identifying error-prone modules early in development. While deep learning models like SAINT improve prediction accuracy, their complexity limits interpretability. This study evaluates SAINT against traditional models (XGBoost, Random Forest, CatBoost) and addresses interpretability using Ant Colony Optimization (ACO) for feature selection and hyperparameter tuning, along with LIME for explaining predictions. Performance metrics, including Prediction Detection (PD), Prediction False Alarm (PF), Balance, and Fault Identification Rate (FIR), demonstrate that SAINT outperforms traditional models in accuracy. The integration of SAINT, ACO, and LIME provides a robust, transparent framework for real-world SDP applications.

关键词： Deep learning Ant colony optimization Accuracy Software quality Predictive models Feature extraction Software systems Software reliability Tuning Random forests

来源：评论

学校读者我要写书评

暂无评论

Processing Continuous-Valued Signals for Multimodal Spike-Based Pose Regression

Processing Continuous-Valued Signals for Multimodal Spike-Ba...

引用

2025 ieee international conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2025

作者： Sudevan, Vidya Zayer, Fakhreddine Kausar, Rizwana Javed, Sajid Karki, Hamad De Masi, Giulia Dias, Jorge Khalifa University Center for Autonomous Robotic Systems Abu Dhabi United Arab Emirates Sorbonne University Dept. Science and Engineering Abu Dhabi United Arab Emirates

ISBN: (纸本)9798331516857

In underwater missions, energy-efficient operation is critical to maximize the operability of an autonomous robots and mission duration. At the same time, accurate pose estimation at reduced computational cost is essential for various underwater robotics and exploration applications. This paper presents an energy-efficient model for pose regression tasks based on direct Spike-Coding-Decoding (SCD) with adaptive threshold mechanism. The proposed approach enables efficient processing of multimodal continuous-valued images and IMU data. The effectiveness of the proposed module is tested using an open-sourced underwater simulator. In underwater robotics domain, real-world testing remains critical due to limited access to actual underwater environment, making simulators invaluable for rapid algorithm development and refinement. Accordingly, HoloOcean simulator is utilized to collect images and IMU sensor data from various underwater scenarios, which are then fed into a pose estimation framework. The SCD module uses 2D and 1D convolutional layers followed by LIF neurons with adaptive threshold to convert continuous-valued data into sparse spike-based signals. During spike decoding, the spike-based signals are converted back to continuous-values by utilizing the accumulated membrane potential of the output LIF neurons. The feasibility of SCD module is evaluated by its ability to introduce sparsity in spike-based representations with minimal information loss that enables efficient signal reconstruction. Custom multimodal data is collected using the HoloOcean simulator and is used to train the network. We compared the performance of the adaptive learnable threshold method with fixed threshold methods. The experimental results show that spike coding with an adaptive threshold mechanism is highly effective compared to a fixed threshold mechanism, as it can encode the continuous-valued input to its spike-based representation with ≈ 2× higher sparsity and a lesser spike rate. ©

关键词： Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Steerable Differential Polynomial Beamforming

Steerable Differential Polynomial Beamforming

引用

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

作者： Feng Jiang Huawei Chen College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Conventional steerable differential beamformers are usually only applicable to microphone arrays with regular planar geometries. Recent years have seen the interest in the design of steerable differential beamformers for microphone arrays with an arbitrary planar geometry. However, the existing steerable differential beamformers for arbitrary planar arrays need to repeatedly recalculate their beamformer weight vectors when the steering angle changes, which may affect their real-time implementation. In this paper, we propose a steerable differential polynomial (SDP) beamformer design approach based on the Farrow structures by using the Jacobi-Anger expansion and least-squares method. The SDP beamformers are applicable to arbitrary planar microphone arrays, and can realize continuous 360-degree mainlobe steering in real time without the need of updating beamformer weight vector, which is very useful for time-critical applications such as hearing assisting devices. Simulation results are also reported to demonstrate the effectiveness of the proposed SDP beamformers.

关键词： Geometry Jacobian matrices Array signal processing Simulation Microphone arrays real-time systems Vectors Polynomials time factors Speech processing

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Approach to Sign Language Recognition Using MediaPipe and Machine Learning

A Hybrid Approach to Sign Language Recognition Using MediaPi...

引用

ieee Students' conference on Electrical, Electronics and Computer Science (SCEECS)

作者： Vidhi Bansal Sandali Sinha Rani Astya Anil Kumar Sagar Kalicharan Sahu Department of Computer Science and Engineering Sharda University Greater Noida India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

This paper provides an efficient and accurate sign language recognition system in real time that understands gestures employed using MediaPipe and Random Forest in American Sign Language (ASL). The system captures and processes hand gestures in real time, allowing for optimized responses on the trained dataset with the extended feature for a user to create its own database in just a few clicks. MediaPipe framework is designed to provide powerful hand tracking abilities and is used to capture and refine landmarks which in turn contributes in improving gesture recognition accuracy. The processed data which is captured with OpenCV library is fed into the model trained on the dataset created by authors resulting in 99.81% accuracy in recognizing hand gestures. The findings emphasize the system’s potential applications in communication, education, and accessibility, emphasizing its importance for people who have hearing impairments. The combination of MediaPipe with Random Forest and CNN provides a practical solution for a precise real-time sign language detection with a user-friendly model.

关键词： Hands Computer science Sign language Accuracy Databases Computational modeling real-time systems Libraries Data models Random forests

来源：评论

学校读者我要写书评

暂无评论

A Lightweight and Efficient Convolutional Neural Network for Crowd Counting

A Lightweight and Efficient Convolutional Neural Network for...

引用

international Image Processing, applications and systems conference (IPAS)

作者： Marios Constantinou Panayiotis Kolios Christos Kyrkou KIOS CoE University of Cyprus Nicosia Cyprus Department of Computer Science KIOS CoE University of Cyprus Nicosia Cyprus

ISBN: (数字)9798331506520

ISBN: (纸本)9798331506537

The crowd counting task plays a key role in ensuring public safety during large gatherings events. Most prominent works in this area, use large and computationally demanding deep learning model architectures, which require substantial computational power, limiting their usage in a real-world scenario under resource constraints. In this work we consider the trade-off between the model’s predicted accuracy and computational speed. We propose an improved version of HR-Net, which is substantially smaller and faster than the original, but preserves its localization and counting performance. Through targeted removal of unnecessary modules and branches, we demonstrate an increase in frames-per-second by 37.71% on an Nvidia Jetson Orin, and a reduction of GMACs and parameters by 77.41% and 73.07% respectively, while retaining competitive localization and counting performance, specifically for aerial imagery scenarios. Our modifications enable the algorithm to process in real-time higher resolution images, which is crucial when dealing with small objects. Furthermore, because most crowd counting datasets contain random images gathered from the web, and limited aerial images of crowds, we introduce a specialized dataset of high-resolution aerial imagery for sparse and dense crowds in various environments, that contains new drone-captured annotated image data.

关键词： Location awareness Deep learning Limiting Image resolution Computational modeling Computer architecture Predictive models real-time systems Public security Inference algorithms

来源：评论

学校读者我要写书评

暂无评论

The Design of Extended reality-Enabled Tangible Interaction to Enhance the Interaction with Collaborative Robots 25

The Design of Extended Reality-Enabled Tangible Interaction ...

引用

ACM/ieee international conference on Human-Robot Interaction (HRI)

作者： Dong An Markus Rittenbruch Leo Rezayan Queensland University of Technology Brisbane Australia

ISBN: (数字)9798350378931

ISBN: (纸本)9798350378948

Collaborative robots (cobots) are increasingly employed in manufacturing to enhance productivity and efficiency, particularly by performing repetitive or precise tasks, allowing workers to focus on more complex activities. However, the growing adoption of cobots in dynamic environments, such as small and medium-sized enterprises (SMEs), poses challenges in designing flexible and user-friendly interaction models. This research addresses these challenges by integrating tangible interaction and Extended reality (XR) technologies to develop innovative interaction methods for human-robot collaboration in metalworking. The tangible interaction leverages users' familiarity with physical objects, while XR provides immersive, real-time visual overlays to enhance task execution and decision-making. A co-design methodology is employed, involving metalworkers, XR designers, and roboticists, to ensure the system meets user needs. The study progresses through four phases: contextual inquiry, co-design workshops, system development, and user testing. Preliminary findings highlight the potential of XR-enabled tangible interaction to improve safety, efficiency, and intuitiveness in cobot applications. Future work aims to refine prototypes, evaluate scalability, and explore broader industrial applications, paving the way for safer and more effective human-robot collaboration systems.

关键词： Productivity Visualization Extended reality Scalability Human-robot interaction Prototypes Collaborative robots real-time systems Safety Testing

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis of Satellite Communication with WSN using MATLAB

Performance Analysis of Satellite Communication with WSN usi...

引用

Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), ieee conference on

作者： Vidhi Khanna Rachit Jain Department of Electronics Engineering Madhav Institute of Technology & Science Gwalior India Department of IT Prestige Institute of Management & Research Gwalior India

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

This paper presents the design and simulation of a Wireless Sensor Network (WSN) for satellite communication using MATLAB Simulink. The system models sensor data collection, aggregation, transmission, and reception through interconnected subsystems replicating a real WSN architecture for satellite applications. It comprises five key subsystems: Sensor node, Data Aggregator, Communication Module, Satellite, and Ground Station. The sensor nodes generate aggregated data and transmit them using phase-shift keying (PSK) modulation. The Satellite subsystem simulates a signal processing delay before forwarding data to the ground station. Here, metrics such as throughput, signal integrity, and energy efficiency are analyzed. The simulation results show high throughput (90kbps) and effective data transmission while maintaining low energy consumption and minimal packet loss (2%). This work improves the understanding of WSN performance in satellite communication environments, highlighting their potential for real-time monitoring applications in various domains like weather & environmental monitoring, disaster management, and military surveillance.

关键词： Wireless sensor networks Phase shift keying Satellites Software packages Data aggregation Throughput real-time systems Data communication MATLAB Signal to noise ratio

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 << < 44 45 46 47 48 49 50 51 52 53 > >>

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：