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4821-4830 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：

Research on Cleaning Method of Wind Power Data Based on Improved Quartile Method

Research on Cleaning Method of Wind Power Data Based on Impr...

引用

signal processing and Intelligent Computing (SPIC), International Conference on

作者： Qixue Guan Keying Geng Shenyang Ligong University Shenyang China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

A method is proposed to address the challenge of anomalous wind speed and power data in wind farms, aiming to clean the wind power data. This method utilizes an enhanced quartile approach and involves two main steps. Initially, the Bin zoning method is employed to preprocess the extensive data by leveraging the actual operational data from wind turbines in Jilin Wind Farm. Subsequently, the enhanced quartile method is implemented to cleanse the wind power data post zoning. In this step, the improved quartile method cleans the scattered data, and the MeanShift algorithm is employed to clean the folded data. Finally, the proposed algorithm is compared with the data purified by the quartile method and the MeanShift method, respectively.

关键词： Performance evaluation Correlation Wind speed Data preprocessing signal processing algorithms Wind power generation Wind farms signal processing Cleaning Wind turbines

来源：评论

学校读者我要写书评

暂无评论

Female Mosquito Detection by Means of AI Techniques Inside Release Containers in the Context of a Sterile Insect Technique Program

Female Mosquito Detection by Means of AI Techniques Inside R...

引用

European signal processing Conference (EUSIPCO)

作者： Javier Naranjo-Alcazar Jordi Grau-Haro David Almenar Pedro Zuccarello Instituto Tecnológico de Informática (ITI) Valencia Spain Empresa de Transformación Agraria S.A. S.M.E. M.P. (TRAGSA) Paterna Spain

ISBN: (数字)9789464593617

ISBN: (纸本)9798331519773

The Sterile Insect Technique (SIT) is a biological pest control technique based on the release into the environment of sterile males of the insect species whose population is to be controlled. The entire SIT process involves mass-rearing within a biofactory, sorting of the specimens by sex, sterilization, and subsequent release of the sterile males into the environment. The reason for avoiding the release of female specimens is because, unlike males, females bite, with the subsequent risk of disease transmission. In the case of Aedes mosquito biofactories for SIT, the key point of the whole process is sex separation. This process is nowadays performed by a combination of mechanical devices and AI-based vision systems. However, there is still a possibility of false negatives, so a last stage of verification is necessary before releasing them into the environment. It is known that the sound produced by the flapping of adult male mosquitoes is different from that produced by females, so this feature can be used to detect the presence of females in containers before environmental release. This paper presents a study for the detection of females in Aedes mosquito release vessels for SIT programs. A particular set-up was developed to provoke the flight of mosquitoes inside the containers and record the sound produced by this flight. Due to the difficulty in identifying the exact timing of female flight within mixed male/female containers an anomaly detection strategy was chosen to be followed rather than a multi-class classification strategy. Two algorithms were implemented for the detection of female mosquitoes: an unsupervised outlier detection algorithm (iForest) and a one-class SVM trained with male-only recordings. The experiments conducted show that the results are highly dependent on the degree of maturity of the mosquitoes. For the detection of females with a 25/75% female/male ratio, the best results are obtained on the seventh day after sexing in the pupal stage

关键词： Performance evaluation Accuracy Insects Machine vision signal processing algorithms Containers Recording Classification algorithms Artificial intelligence Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

Cell-Free MIMO in 6G NTN with AI-predicted CSI

Cell-Free MIMO in 6G NTN with AI-predicted CSI

引用

IEEE Workshop on signal processing Advances in Wireless Communications (SPAWC)

作者： Bruno De Filippo Riccardo Campana Alessandro Guidotti Carla Amatetti Alessandro Vanelli-Coralli Dept. of Electrical Electronic and Information Engineering (DEI) Univ. of Bologna Bologna Italy National Inter-University Consortium for Telecommunications (CNIT) Italy

ISBN: (数字)9798350393187

ISBN: (纸本)9798350393194

Non-Terrestrial Networks (NTNs) in 6G are expected to integrate the Terrestrial Networks (TNs) coverage and provide connectivity to a multitude of User Terminals (UTs). In order to cope with the traffic demand, NTNs can employ cell- free MIMO with full frequency reuse schemes to maximize the spectral efficiency of the system. However, such technique can be strongly affected by channel aging, impacting their application to Low Earth Orbit (LEO)-based NTNs. Aiming at counteracting this effect, we present in this paper a lightweight Artificial Intelligence (AI) model for Channel State Information (CSI) prediction. To predict the propagation channel, the proposed algorithm learns its temporal statistics, e.g., the Line-of-Sight (LoS) shadowing correlation, from data. The model then applies the corrections to the feedback CSI, minimizing the difference with respect to the propagation channel encountered at transmission time. System-level analyses on a LEO-based CF-MIMO system report an improvement of the per-user capacity by up to 15% and a reduction of the outage probability when predicted CSI are used instead of aged channel coefficients.

关键词： 6G mobile communication Wireless communication Spectral efficiency signal processing algorithms Probability Aging Numerical models Power system reliability Artificial intelligence Capacity planning

来源：评论

学校读者我要写书评

暂无评论

An enhanced YOLOv8 and its application for risk prevention in underground excavation operations

An enhanced YOLOv8 and its application for risk prevention i...

引用

International Conference on signal processing Proceedings (ICSP)

作者： Tianzheng Liu Kefei Li Yuyuan Pu Houxi Zhu Jianfeng Yi Beijing MTR Construction Administration Company Limited Beijing China Beijing Key Laboratory for Urban Rail Transit Automated Operation System and Safety Monitoring Beijing China Beijing Infrastructure Investment Company Limited Beijing China Beijing Metro Consultancy Corporation Limited Beijing China National Engineering Laboratory for Urban Rail Transit System Safety Assurance Technology Beijing China

ISBN: (数字)9798350387384

ISBN: (纸本)9798350387391

Small target detection is used in underground underground excavation operations. At present, there are still challenges and problems in small target detection. Among them, small targets have low resolution in target detection, have few features that can be extracted, and are susceptible to environmental noise interference. In addition, it is difficult to accurately extract features for targets that span multiple local areas and have odd shapes. In response to these problems, this paper proposes an enhanced YOLOv8 object detection algorithm for safety precautions in underground excavation operations. Among them, a new multi-scale feature fusion module is proposed, and the original P2 layer of the benchmark model is added to the feature pyramid of the neck network for feature fusion to improve the detection accuracy of small targets. The Global Attention Mechanism is added to the backbone network of the benchmark model so that the model can focus on more important key features. In addition, it is proposed to introduce the deformable convolution DCNv3 into the benchmark model structure to replace the original fixed convolution kernel, making the convolution operation more flexible and adaptable, and increasing the receptive field required for the detection task. The improved algorithm improves the detection effect of small targets on the COCO dataset, and the algorithm is applied to the dark mining scenario, and it is also improved on the dark mining dataset. The experimental results prove the effectiveness of this method.

关键词： Adaptation models Attention mechanisms Convolution Working environment noise Prevention and mitigation signal processing algorithms Object detection Benchmark testing Feature extraction Excavation

来源：评论

学校读者我要写书评

暂无评论

A Indian Rainfall Prediction Using Machine Learning algorithms: A Comparative Study

A Indian Rainfall Prediction Using Machine Learning Algorith...

引用

signal processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), International Conference on

作者： Anuradha R Arjun Sudheer Anvin P Shibu Dulal Roy Mohan Krishna G R Deepak Vishal J Abhijith K Department of CSE SREC Coimbatore India

ISBN: (数字)9798331540685

ISBN: (纸本)9798331540692

This study is intended to make rain forecasts more accurate so that there can be early warnings and measures against rain-caused disasters. We do this by using sophisticated computer programs which take into account many things like the air, the ocean, and land. In order to come up with the most precise model for predicting when it will rain heavily or not at all, we have to prioritize what data should be used first; select different methods which includes Support Vector Machines, Decision Trees, Random Forests among others while working on feature extraction through machine learning algorithms like Naive Bayes Classifier or Logistic Regression. We want our systems to always predict right - never wrong about whether there's going to be a lot of rainfall tomorrow. Our approach optimizes over daily IMD Indian Meteorological Department rainfall records from website ***.

关键词： Rain Machine learning algorithms Accuracy Disasters Weather forecasting signal processing algorithms Sea measurements

来源：评论

学校读者我要写书评

暂无评论

NILM Load Identification Based on CNN and V-I Trajectory

NILM Load Identification Based on CNN and V-I Trajectory

引用

Power Science and Technology (ICPST), IEEE International Conference on

作者： Rui Ma Wenni Kang Jiangbo Sha Jia Liu Dongge Zhu Electric Power Research Institute of State Grid Ningxia Electric Power Co. Ltd Yinchuan China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

In the process of grid intelligence and digitization, non-intrusive load monitoring (NILM) is a new technology that enables energy consumption monitoring and rational power supply. It identifies the energy consumption of various electrical appliances by monitoring the overall power consumption in a household or building. Traditional NILM methods typically use signal processing and statistical techniques to analyze power consumption signals. In recent years, convolutional neural networks (CNN) have achieved great success in the fields of image and signal processing. This paper aims to explore the use of CNN for event-based NILM load recognition. Firstly, we will discuss event detection methods and data preprocessing techniques for NILM. Then, we will introduce the basic principles and structures of CNN, as well as its application in recognizing V-I trajectory of power data. Afterwards, we will select appropriate loss functions and optimization algorithms to train the CNN and evaluate its performance in load recognition tasks. The experimental results demonstrate that the proposed method achieves excellent performance in the identification of six typical residential loads, with an overall load identification F1-score of 96.2%. Specifically, the F1-score for identifying purely resistive loads reaches 99.75%. This significantly improves the level of NILM load recognition, enabling more precise and intelligent device identification and energy management.

关键词： Energy consumption Power demand Accuracy Event detection signal processing algorithms Voltage signal processing

来源：评论

学校读者我要写书评

暂无评论

MMV based EMG signal Reconstruction for Remote Rehabilitation

MMV based EMG Signal Reconstruction for Remote Rehabilitatio...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Ruihui Zhao Haoxiang Zhang Yehao Ma Robotics Institute Ningbo University of Technology Ningbo China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

To overcome the limitations of low compression rates and extended reconstruction times in the Single Measurement Vector (SMV) model for electromyography (EMG) signal processing, this paper presents a compression and reconstruction algorithm based on the Multiple Measurement Vector (MMV) model. The EMG signals undergo preprocessing, and the optimal combination of the Discrete Sine Transform (DST) sparse basis and the BPBDMtx measurement matrix is selected. signal reconstruction is then performed using the Orthogonal Matching Pursuit (MMV-OMP) algorithm. Experimental results show that the proposed MMV-based compression sensing algorithm significantly outperforms the traditional SMV model in terms of reconstruction quality, compression rate, and reconstruction speed. This method offers a novel pathway for efficient EMG signal reconstruction and has broad potential for applications in sensor technology and remote rehabilitation.

关键词： Telemedicine Matching pursuit algorithms signal processing algorithms Transforms Reconstruction algorithms Robot sensing systems Electromyography Vectors signal reconstruction Sparse matrices

来源：评论

学校读者我要写书评

暂无评论

A Smoking Behavior Detection Algorithm Based on YOLOv5 and Key Points of Human Skeleton

A Smoking Behavior Detection Algorithm Based on YOLOv5 and K...

引用

signal processing and Intelligent Computing (SPIC), International Conference on

作者： Yan Qi Chaohui Yan School of Information Science and Engineering Shenyang Ligong University Shenyang China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

As people realize the harm of smoking in public places, the problem of how to improve the detection efficiency of smoking behavior in surveillance video remains to be solved. In recent years, the algorithm of pose estimation based on the key points of human bones has become more and more mature. In this paper, an algorithm for smoking behavior detection based on the relationship between the position information of the key points of human bones and smoking behavior is proposed. The algorithm first uses AlphaPose to detect the key point information of human bones, and determines whether the behavior is smoking by calculating the distance ratio (SBR) between the wrist and the nose and the wrist and the eye on the same side. YOLOv5 was used to detect whether there were cigarette butts in the video. Weight fusion of cigarette probability detected by SBR and YOLOv5 was performed to determine whether there was smoking behavior. The experimental results show that the proposed method can effectively detect smoking behavior with an accuracy of 93.3%. Finally, the abnormal behavior recognition system in the library environment is developed through Python3.8 and PyQt development languages, and the two algorithms proposed in this paper are integrated into the system to realize the visualization of the two abnormal behavior recognition results, which proves the effectiveness of the abnormal behavior recognition algorithm proposed in this paper, and also shows that the system has certain practical application value.

关键词： YOLO Wrist Visualization Accuracy Target recognition Surveillance signal processing algorithms signal processing Bones Behavioral sciences

来源：评论

学校读者我要写书评

暂无评论

Recognition of Bengali Vowels from Auditory Evoked Potentials Using CNN

Recognition of Bengali Vowels from Auditory Evoked Potential...

引用

IEEE International Conference on signal processing, Information, Communication & Systems (SPICSCON)

作者： Tithi Das Md Raihan Khan Md. Mahbub Hasan Department of Electrical and Electronic Engineering Khulna University of Engineering & Technology Khulna Bangladesh

ISBN: (数字)9798331510213

ISBN: (纸本)9798331510220

Audio evoked potentials, or AEPs, have recently gained popularity. It can be described as the EEG signal generated when a person is exposed to auditory stimuli. The human brain behaves differently when exposed to diverse sounds. It also produces a distinct hemodynamic activity pattern for speech sounds compared to non-speech sounds. This paper presents a system for capturing AEP. The proposed approach covers seven different Bengali vowels. A total of 208 sets of data were obtained from five different subjects. The various AEP signals were then filtered and pre-processed. Different features Power Spectral Density (PSD), Entropy, and Variance have been extracted from the preprocessed signal. Convolutional Neural Network (CNN) has the highest accuracy (90.96 %) for PSD features. The dataset has been made public for future research purposes.

关键词： Technological innovation Accuracy signal processing algorithms Transforms signal processing Feature extraction Prediction algorithms Electroencephalography Convolutional neural networks Speech processing

来源：评论

学校读者我要写书评

暂无评论

RepFYOLOv5: A Lightweight Re-parameterization YOLOv5 Network with Four Detection Heads

RepFYOLOv5: A Lightweight Re-parameterization YOLOv5 Network...

引用

International Conference on signal processing Proceedings (ICSP)

作者： Yansen Huang Fei Gan Linna Zhang Fugui Zhang College of Civil Engineering College of Mechanical Engineering Guizhou University Guiyang China

ISBN: (数字)9798350387384

ISBN: (纸本)9798350387391

Deep neural networks have received wide applications in many areas in recent years, but the high requirements of computational cost and storage space limit its applications in embedded devices. To deal with this problem, we proposed a lightweight re-parameterization YOLOv5 network with four detection heads, called RepFYOLOv5. First, a structure re-parameterization module RepBlock is proposed to reconstruct the network backbone, which has multiple topology branches during the training process, but in the inference and deployment, it uses the equivalent convolutional module fusion structure to speed up the network inference. In addition, in order to improve the object detection accuracy (especially for the small objects), except for the original three detection heads of YOLOv5, an extra detection head based on larger feature maps is added to the network to improve the detection accuracy for the small objects. Experimental results on the COCO dataset and our own traffic surveillance dataset showed that our proposed lightweight RepFYOLOv5 obtained a better balance among detection accuracy, inference time and parameter amount etc.

关键词： YOLO Training Accuracy Network topology Surveillance signal processing algorithms Traffic control Feature extraction Inference algorithms Topology

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 << < 479 480 481 482 483 484 485 486 487 488 > >>

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：