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

37,298 篇 会议
6,227 篇 期刊文献
3 篇 学位论文
1 册 图书

馆藏范围

43,529 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

14,584 篇 工学
- 9,908 篇 电气工程
- 3,758 篇 计算机科学与技术...
- 2,936 篇 信息与通信工程
- 1,601 篇 控制科学与工程
- 1,547 篇 仪器科学与技术
- 894 篇 电子科学与技术（可...
- 763 篇 机械工程
- 693 篇 软件工程
- 391 篇 测绘科学与技术
- 359 篇 航空宇航科学与技...
- 333 篇 生物医学工程（可授...
- 145 篇 交通运输工程
- 89 篇 材料科学与工程（可...
- 87 篇 网络空间安全
- 72 篇 石油与天然气工程
- 49 篇 光学工程
- 49 篇 土木工程
- 48 篇 生物工程
- 47 篇 船舶与海洋工程
2,662 篇 理学
- 1,245 篇 物理学
- 904 篇 系统科学
- 308 篇 数学
- 156 篇 地球物理学
- 55 篇 化学
- 44 篇 生物学
788 篇 医学
- 566 篇 临床医学
- 182 篇 基础医学(可授医学...
397 篇 管理学
- 389 篇 管理科学与工程(可...
73 篇 文学
- 73 篇 新闻传播学
73 篇 农学
- 45 篇 作物学
28 篇 军事学
17 篇 艺术学
16 篇 教育学
2 篇 经济学
2 篇 法学

主题

43,529 篇 signal processin...
8,928 篇 signal processin...
5,927 篇 estimation
5,136 篇 field programmab...
4,684 篇 algorithm design...
4,438 篇 clocks
4,379 篇 ofdm
4,104 篇 modulation
3,955 篇 filtration
3,752 篇 digital signal p...
2,763 篇 hardware
2,446 篇 convergence
1,785 篇 array signal pro...
1,694 篇 feature extracti...
1,643 篇 optimization
1,610 篇 computer archite...
1,593 篇 signal to noise ...
1,517 篇 robustness
1,487 篇 adaptive filters
1,457 篇 vectors

机构

46 篇 school of inform...
44 篇 department of el...
43 篇 national mobile ...
38 篇 department of el...
36 篇 xidian univ natl...
35 篇 information syst...
34 篇 philips research...
31 篇 univ chinese aca...
31 篇 school of electr...
30 篇 beijing inst tec...
29 篇 ibm thomas j. wa...
28 篇 department of el...
27 篇 hendisli&#x011f
27 篇 signal processin...
26 篇 department of el...
26 篇 school of comput...
25 篇 department of si...
25 篇 tsinghua univers...
25 篇 school of inform...
24 篇 institute for in...

作者

40 篇 lei wang
37 篇 wei liu
35 篇 jun wang
32 篇 danilo p. mandic
30 篇 p. pirsch
28 篇 k. egiazarian
27 篇 marc moonen
27 篇 eldar yonina c.
26 篇 li li
23 篇 sharon gannot
23 篇 t. kailath
22 篇 ming li
22 篇 walter kellerman...
22 篇 wei li
22 篇 poor h. vincent
21 篇 yui-lam chan
21 篇 jian wang
21 篇 jean-christophe ...
21 篇 christian jutten
21 篇 kailath t

语言

42,300 篇 英文
993 篇 其他
236 篇 中文

检索条件"主题词=signal processing algorithms"

共 43529 条记录，以下是4921-4930 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：

Towards Collaborative Multimodal Federated Learning for Human Activity Recognition in Smart Workplace Environments

Towards Collaborative Multimodal Federated Learning for Huma...

引用

Acoustics, Speech, and signal processing Workshops (ICASSPW), IEEE International Conference on

作者： Seyed Mohammad Sheikholeslami Pai Chet Ng Huan Liu Yuanhao Yu Konstantinos N. Plataniotis Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Huawei Noah’s Ark Lab Canada

ISBN: (数字)9798350374513

ISBN: (纸本)9798350374520

This paper aims to improve human activity recognition (HAR) with multimodal data across multiple consumer devices in a smart workplace environment. By leveraging the sensor-rich capabilities of smartphones, smartwatches, and smart speakers, we propose Collaborative Multimodal Federated Learning (CoMFL) algorithm to facilitate efficient feature encoding on lightweight local models implemented on consumer devices while fusing these encoded features for training a super model on a personalized local server, all within the private zone of a user. Federated learning aggregates model updates across users without compromising privacy, resulting in a generalized global super model. Additionally, we address the challenge of missing modality by incorporating a feature reconstruction network. This network attempts to reconstruct missing modalities prior to feature fusion, improving performance when dealing with missing features. Our proposed CoMFL achieves significant performance gains with multimodal HAR systems.

关键词： Training Federated learning Employment Collaboration signal processing algorithms Speech recognition Encoding

来源：评论

学校读者我要写书评

暂无评论

Improved BD-EMD Technique using RBF Hermite Interpolation for Image Decomposition

Improved BD-EMD Technique using RBF Hermite Interpolation fo...

引用

Innovations in High Speed Communication and signal processing (IHCSP), International Conference on

作者： Sucheta Bhardwaj Bhupendra Singh Kirar Dheeraj Kumar Agrawal Vivek Patel Sunil Kureel Rahul Yogi Motherson Innovation Germany ECE Department Indian Institute of Information Technology Bhopal India ECE Department Maulana Azad National Institute of Technology Bhopal India Department of CSE IES Institute of Technology and Management Bhopal India

ISBN: (数字)9798350368949

ISBN: (纸本)9798350368956

Presented herein is an enhanced bi-dimensional empirical mode decomposition (BD-EMD) technique incorporating radial basis function with Hermite interpolation (RBF-HI) for image decomposition. Random point interpolation is an integral aspect of BD-EMD. The characteristics of the two-dimensional intrinsic mode functions (2D-IMFs) derived from BD-EMD significantly hinge on the employed interpolation technique. This study systematically examines various interpolation methods, advocating for the adoption of the RBF-HI technique to augment the performance of BD-EMD. Through comprehensive analysis and comparison of diverse interpolation techniques, crucial features of BD-EMD, including precise surface interpolation and image reconstruction, are refined for enhanced optimization. The outcomes attest that the proposed RBF-HI technique outperforms other methods in terms of surface interpolation, demonstrating superior curve fitting and reconstructed image quality. A standard test image of Lena is utilized for performance benchmarking against existing methods. Comparative analysis concludes that the proposed method excels not only in image decomposition but also in image reconstruction. Performance metrics, encompassing processing time, algorithmic complexity, and peak signal-to-noise ratio (PSNR), underscore the efficacy of the proposed method as a superior approach to BD-EMD for image analysis.

关键词： Interpolation Surface reconstruction Technological innovation PSNR signal processing algorithms Image decomposition Surface fitting Image reconstruction Surface treatment Standards

来源：评论

学校读者我要写书评

暂无评论

Fire Detection Algorithm Based on Improved YOLOv5s

Fire Detection Algorithm Based on Improved YOLOv5s

引用

6th International Conference on Intelligent Computing and signal processing (ICSP)

作者： Xiao Wang Shaopeng Li Peng Yan Xiao Ma Ruju Ni Yulu Wu Institute of Automation Qilu University of Technology (Shandong Academy of Sciences) Jinan China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

Aiming at the problem of low detection accuracy caused by existing image fire detection algorithms when performing model lightweighting, the paper proposes an improved fire detection algorithm for YOLOv5s. YOLOv5 compared other YOLO models, it has stronger adaptability and higher sensitivity in fire detection. Firstly, we introduce null convolution to improve the MobileNetV2 lightweight module and replace the CSPDarknet53 backbone network in YOLOv5s to ensure the detection accuracy and reduce the computational complexity of the fire detection model; secondly, we add the CA attention mechanism in front of the SPPF layer of the backbone network, which increases the attention of the model network to the features of spatial and channel information, and improves the positional relationship of the matching degree; finally, the fire image dataset is built to train the improved YOLOv5s algorithm model and complete the flame image detection. The experimental results show that the improved fire detection algorithm improves the detection accuracy while improving the model computation volume, and its model parameter count is reduced by 2.46M and the detection accuracy is improved by 3.1 %.

关键词： YOLO Adaptation models Solid modeling Accuracy Sensitivity Computational modeling signal processing algorithms Fires Feature extraction Detection algorithms

来源：评论

学校读者我要写书评

暂无评论

Automatic recognition of emergency vehicles in images from video recorders

Automatic recognition of emergency vehicles in images from v...

引用

signal processing algorithms, Architectures, Arrangements and Applications (SPA)

作者： Julian Balcerek Paweł Pawłowski Krzysztof Dolny Julia Skotnicka Division of Signal Processing and Electronic Systems Institute of Automatic Control and Robotics Poznan University of Technology Poland

ISBN: (数字)9788362065486

ISBN: (纸本)9798350373806

In this article, a system for automatic recognition, including detection and classification, of emergency vehicles based on images from video recorders is proposed. The system utilizes YOLO v8 artificial neural network. Recognition accuracy tests were conducted on a specially prepared database of frames from real recordings. It includes marked and unmarked police vehicles (which are very difficult to distinguish and typically not included in automatic recognition systems), fire, ambulance, military vehicles and other reference images. The experiments concerned the recognition of vehicle types and the state of emergency lighting. The highest value of total (for all classes) F1 measure is over 86%. In selected classes the F1 reaches 91%, while precision is 94% and sensitivity is 89%. They can be considered as satisfactory results, what indicates the possibility of using the presented system in practice.

关键词： YOLO Image recognition Sensitivity Law enforcement Databases Emergency lighting signal processing algorithms Military vehicles Artificial neural networks Recording

来源：评论

学校读者我要写书评

暂无评论

Machine Learning-Based Channel Allocation for Secure Indoor Visible Light Communications

Machine Learning-Based Channel Allocation for Secure Indoor ...

引用

International Symposium on Communication Systems, Networks and Digital signal processing, CNSDSP

作者： Rida Zia-Ul-Mustafa Hoa Le Minh Zabih Ghassemlooy Stanislav Zvánovec Faculty of Engineering and Environment Northumbria University Newcastle upon Tyne United Kingdom Department of Electromagnetic Field Czech Technical University in Prague Prague Czech Republic

ISBN: (数字)9798350348743

ISBN: (纸本)9798350348750

In this paper, a machine learning (ML)-based channel allocation algorithm is proposed to form a secure communication zone in indoor visible light communication (VLC) systems. The algorithm first employs the probabilistic neural network (PNN), which classifies the VLC transmitter (Tx) based on its proximity to the user's location. Subsequently, the selected Tx is used to establish a point-to-point channel allocation, hence forming a closed-access zone within a certain effective communication range. Through numerical simulations, it is observed that the single Tx-based VLC transmission confines the legitimate user in a pre-defined trust boundary for a secure transmission.

关键词： Machine learning algorithms Transmitters Neural networks signal processing algorithms Channel allocation Physical layer security Probabilistic logic

来源：评论

学校读者我要写书评

暂无评论

A Robust Adaptive DOA Estimation Technique for Non-Gaussian Interferences based on Blake-Zisserman Function

A Robust Adaptive DOA Estimation Technique for Non-Gaussian ...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Krishna Kumar Hari Krishna Boddapati Ashok Kumar Reddy Chavva Advance Modem Part Beyond 5G Team Samsung R&D Institute Bangalore (SRIB) Bangalore India

ISBN: (数字)9798331517786

ISBN: (纸本)9798331517793

Estimating the direction-of-arrival (DOA) is a crucial problem in most array signal processing applications, including wireless communication, radar, sonar, astronomical observation, and acoustics. The traditional direction-of-arrival (DOA) estimate methods, which are based on subspace decomposition, need for the eigenvalue decomposition, resulting in greater computation complexity. Different adaptive algorithms, including fixed-step-size least mean square (FSS-LMS), variable step-size least mean square (VSS-LMS), and bias-compensated LMS (BC-LMS), have recently been developed for the DOA estimation by using the adaptive nulling antenna techniques in an effort to reduce the computational complexity. The aforementioned algorithms are designed upon the minimization of Mean Square Error (MSE), which proves to be effective in the presence of Gaussian noise. However, their performance will degrade and leads to inaccurate DOA estimation when non-Gaussian/impulsive noise is present. In order to improve the DOA estimation performance in the presence of non-Gaussian/impulsive noise environment, we propose a variable-step-size generalized modified Blake-Zisserman (VSS-GMBZ) algorithm in this letter. The VSS-GMBZ is evaluated for various non-Gaussian noise scenarios to determine DOA estimation accuracy in the Matlab environment. Numerical results demonstrate the superiority of VSS-GMBZ over existing methods.

关键词： Wireless communication Vehicular and wireless technologies Direction-of-arrival estimation Simulation Noise Sonar applications signal processing algorithms Estimation Multiple signal classification Computational complexity

来源：评论

学校读者我要写书评

暂无评论

Multi-Access Edge Computing Empowered Integrated Hybrid Sensing and Communication: A Computation-Efficient Design

Multi-Access Edge Computing Empowered Integrated Hybrid Sens...

引用

Ubiquitous Communication (Ucom), International Conference on

作者： Chenglong Dou Xumin Huang Yuan Wu Liping Qian Tony Q. S. Quek State Key Laboratory of Internet of Things for Smart City University of Macau Macau China Information Engineering Zhejiang University of Technology Hangzhou China Information System Technology and Design Singapore University of Technology and Design Singapore

ISBN: (数字)9798350374216

ISBN: (纸本)9798350374223

Integrated sensing and communication (ISAC) system has been emerged as a crucial paradigm for addressing the growing demand of emerging wireless applications that require both ultra-reliable data transmission and high-precision sensing. However, due to the limited computation capability of ISAC devices, the large amount of collected sensing data is difficult to be timely processed. In this paper, we consider that the ISAC device can offload the sensing data to a group edge helper nodes via multi-access edge computing to improve the efficiency of sensing data processing. We propose a multi-access edge computing empowered ISAC with hybrid active and passive sensing, in which the ISAC device can perform passive sensing through the sensing reflected signal from the edge helper nodes while performing active sensing. To investigate this problem, we formulate a joint optimization of the transmit beamforming for active sensing, passive sensing and offloading, as well as the computation rates of both the ISAC device and the edge helper nodes, with the objective of maximizing the total computation rates for the sensing data. Despite the non-convexity of the formulated problem, we propose an efficient algorithm to obtain its solutions. Simulation results validate the performance advantages of our multi-access edge computing empowered integrated hybrid sensing and communication.

关键词： Performance evaluation Wireless communication Wireless sensor networks Multi-access edge computing Array signal processing Simulation Large language models signal processing algorithms Integrated sensing and communication Optimization

来源：评论

学校读者我要写书评

暂无评论

Automatic Feature Points Based Registration Technique of Satellite Images

Automatic Feature Points Based Registration Technique of Sat...

引用

International Conference on Image and signal processing and their Applications (ISPA)

作者： Meskine Fatiha Mezouar Oussama RCAM Laboratory Electrical Engineering Faculty Djillali Liabes University Sidi Bel Abbes Algeria

ISBN: (数字)9798350309249

ISBN: (纸本)9798350309256

Feature points based image registration is a technique used in computer vision and image processing to align two or more images by identifying and matching distinctive feature points between them. The purpose is to establish a geometrical transformation between two images to be compared that spatially aligns each point from one image to its corresponding of the other image. Recently, local feature key-points such as scale invariant feature transform (SIFT), speeded-up robust features (SURF) and oriented FAST and rotated BRIEF (ORB) are widely used due to their inherent properties such as invariance, changes in illumination, and noise. This study provides an automated feature points based registration technique applied to satellite images. The registration task is solved by an iterative heuristic optimization method namely genetic algorithm (GA) to find the best rigid transformation parameters by minimizing the distance between the two feature point sets. An adaptive GA based on fitness sharing and elitism techniques is performed to enhance the capability of GA. A comparative study is conducted between different extraction feature techniques. Therefore, the results demonstrate the effectiveness of the SIFT algorithm compared to the other competing techniques for registering satellite images.

关键词： Image registration Simulation Noise signal processing algorithms Optimization methods Transforms Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Learning from Time-Tracking Data: Gaussian Process Regression for Efficient Time Management Systems

Learning from Time-Tracking Data: Gaussian Process Regressio...

引用

Communication, Computing and signal processing (IICCCS), IEEE International Conference on

作者： Bandna Thakur Allirani P Prashant Chourasiya K Srinu Mohammed Al-Farouni Santhosh S Department of Computer Application Chandigarh Engineering College Chandigarh Group of Colleges Mohali Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Chennai India Department of Computer Science & Engineering IES Institute of Technology and Management IES University Bhopal M.P. India Department of Artificial Intelligence & Machine Learning Aditya Engineering College Surampalem India Department Of Computers Techniques Engineering College Of Technical Engineering The Islamic University Najaf Iraq Department Of Computers Techniques Engineering College Of Technical Engineering The Islamic University Of Al Diwaniyah Al Diwaniyah Iraq Department of ISE Nitte (Deemed to be University) NMAM Institute of Technology (NMAMIT) Nitte India

ISBN: (数字)9798350390759

ISBN: (纸本)9798350390766

This paper aims at analyzing the use of Gaussian Process Regression (GPR) in working and creating effective time management system. It incorporates the GPR model that helps in predicting the future time usage by dissecting the time-study data this assists the users in scheduling. The approach adopted entails harvesting data from automated tools and manual logs, pre-processing the data collected, using k-fold cross-validation in training and validating the model. The forecasting accuracy features a low Mean Absolute Error and a high R-squared value, which signifies that the models perform well in terms of predictive capability. This research proves that GPR can actively help with data on time management and benefit time management systems as a whole. Some of the challenges that faced the research include quality of the data and the computation required to process the data was enhanced by effective preprocessing and refined algorithms respectively.

关键词： Training Schedules Computational modeling signal processing algorithms Gaussian processes Predictive models signal processing Data models Telecommunication computing Tuning

来源：评论

学校读者我要写书评

暂无评论

Mitigating Buffer Starvation: Addressing Head-of-Line Blocking in Video Streaming for Enhanced Quality of Experience

Mitigating Buffer Starvation: Addressing Head-of-Line Blocki...

引用

International Conference on Communications, signal processing, and their Applications (ICCSPA)

作者： Omar Farrag Taha Landolsi Mohamed S. Hassan Mahmoud H. Ismail American University of Sharjah Sharjah United Arab Emirates

ISBN: (数字)9798350384819

ISBN: (纸本)9798350384826

Video streaming over the Internet has become a prevalent aspect of daily social interactions. As the number of users streaming videos increases, so does the importance of guaranteeing the maximum quality of experience (QoE) to the end users. Multiple QoE metrics, including buffer starvation and video quality, were defined to guide the development of video streaming protocols and adaptive playback mechanisms. Some of these mechanisms include encoding bitrate adaptation and frame prefetching. However, the impact of head of line (HOL) blocking on QoE has not been extensively examined in earlier studies. Therefore, this paper proposes an algorithm to limit HOL blocking at the client side to reduce buffer starvation. Simulation results show that the proposed algorithm reduces the number of starvation instances and increases inter-starvation duration in two out of three tested network conditions.

关键词： Protocols Prevention and mitigation Heuristic algorithms Prefetching signal processing algorithms Streaming media Quality assessment Delays Quality of experience Video recording

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 << < 489 490 491 492 493 494 495 496 497 498 > >>

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：