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

37,312 篇 会议
6,233 篇 期刊文献
3 篇 学位论文
1 册 图书

馆藏范围

43,549 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

43,549 篇 signal processin...
8,930 篇 signal processin...
5,933 篇 estimation
5,137 篇 field programmab...
4,684 篇 algorithm design...
4,438 篇 clocks
4,379 篇 ofdm
4,104 篇 modulation
3,955 篇 filtration
3,753 篇 digital signal p...
2,767 篇 hardware
2,446 篇 convergence
1,787 篇 array signal pro...
1,696 篇 feature extracti...
1,645 篇 optimization
1,610 篇 computer archite...
1,596 篇 signal to noise ...
1,523 篇 robustness
1,485 篇 adaptive filters
1,460 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

42,319 篇 英文
992 篇 其他
236 篇 中文

检索条件"主题词=Signal Processing Algorithms"

共 43549 条记录，以下是4961-4970 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：

Optimization of Two-dimensional Path Optimization Algorithm Based on Dijkstra Ant Colony Optimization Algorithm

Optimization of Two-dimensional Path Optimization Algorithm ...

引用

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

作者： Heng Guo Qingquan Liu Zhihui Dang School of Equipment Engineering Shenyang Ligong University Shenyang China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

To address the limitations of the traditional Dijkstra algorithm in two-dimensional path optimization problems, this article uses ant colony algorithm to optimize the Dijkstra algorithm, solving the limitations of the Dijkstra algorithm that requires path optimization in finite node graphs and is difficult to traverse the best path that matches actual situations. Generate initial path through Dijkstra algorithm and allocate pheromones to the initial path through ant colony algorithm for iterative calculation, ultimately converging to the optimal path. Through MATLAB software simulation, the optimized Dijkstra-ant algorithm was compared with the original algorithm, optimized algorithm resulted in a better path.

关键词： Ant colony optimization Software algorithms signal processing algorithms signal processing Iterative algorithms Software Graph theory Optimization Convergence Matlab

来源：评论

学校读者我要写书评

暂无评论

Single-Channel Multiuser Transponder System Implementation on a Low-Power Platform

Single-Channel Multiuser Transponder System Implementation o...

引用

IEEE/OES China Ocean Acoustics (COA)

作者： Liu Zhaofeng Zhou Feng Zhao Jingxu Cao Chi Ji Xiaofeng National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University) Ministry of Industry and Information Technology Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798350340297

ISBN: (纸本)9798350340303

The underwater acoustic position system is the current mainstream underwater navigation system. A long-baseline underwater acoustic system can perform navigation and positioning for an underwater cooperative target, and the transponder is one of the most important components of this system. This system is highly accurate, small, and convenient to use. However, its battery power restricts its application in ocean exploitation. This paper presents a low-power platform (STM32L4)-based single-channel multiuser underwater transponder system. The system can support up to four cooperative targets for range acquisition. Furthermore, a robust and fast signal processing algorithm based on copy correlation is applied. The sea experiment shows that the system can achieve reliable underwater acoustic ranging in a shallow-water region.

关键词： Correlation Oceans signal processing algorithms Distance measurement Underwater navigation Transponders Reliability Underwater acoustics System implementation signal detection

来源：评论

学校读者我要写书评

暂无评论

Daily behavior recognition of cattle in complex environments based on improved YOLOv8s

Daily behavior recognition of cattle in complex environments...

引用

Intelligent Control, Measurement and signal processing and Intelligent Oil Field (ICMSP), International Conference on

作者： Lei Tong Jiandong Fang Xiuling Wang Yudong Zhao College of Information Engineering Inner Mongolia University of Technology Innovation Center Hohhot China Inner Mongolia Key Laboratory of Perceptive Technology and Intelligent Systems Innovation Center Hohhot China Inner Mongolia Autonomous Region Intelligent Agriculture and Animal Husbandry Perceptual Technology Collaborative Innovation Center Hohhot China

ISBN: (数字)9798331516550

ISBN: (纸本)9798331516567

Aiming at the problems of inconsistent target scales in the task of daily behavior recognition of cattle in farms due to the complex environment of farms, large changes in illumination, and the uneven distribution of cattle, a method based on the improved YOLOv8s is proposed for the recognition of daily behavior of cattle. By testing on the self-constructed dataset, the average accuracy mean mAP of the improved ELID-YOLOv8s network reaches 85.3%, which is 3.0% higher than the original network model YOLOv8s. Therefore, the method in this paper can significantly improve the recognition accuracy of cattle behavior in different environments, different lighting and multi-scale conditions.

关键词： Accuracy Attention mechanisms Target recognition Lighting signal processing algorithms Object detection Cows signal processing Feature extraction Intelligent control

来源：评论

学校读者我要写书评

暂无评论

Accelerated Scaled Gradient Descent Algorithm For Low-Rank Matrix Factorization

Accelerated Scaled Gradient Descent Algorithm For Low-Rank M...

引用

Computer Engineering and Intelligent Control (ICCEIC) International Conference on

作者： Xiaojing Jia Xiangchu Feng Hua Wu School of mathematics and statistics Xidian University Xi'an China

ISBN: (数字)9798331507992

ISBN: (纸本)9798331508005

Low-rank matrix factorization is a particularly effective method which finds numerous applications in signal processing, machine learning and imaging science. Recent literature has proposed that scaled gradient descent (ScaledGD) algorithm. It achieves linear convergence without depending on the condition number, while maintaining the low per-iteration cost. The task of this paper is to propose an accelerated ScaledGD algorithmic approach called scaled momentum algorithm, which using a method similar to momentum to accelerate ScaledGD. Momentum is a commonly used optimization algorithm in deep learning that helps accelerate gradient descent in the relevant direction and dampens oscillations. The new scaled momentum algorithm has a benign convergence guarantee similar to the ScaledGD that is independent of the number of conditions, while prominently improve the rate of convergence than ScaledGD.

关键词： Deep learning Machine learning algorithms signal processing algorithms Imaging signal processing Sensors Optimization Oscillators Convergence Intelligent control

来源：评论

学校读者我要写书评

暂无评论

A Hybrid IoT-ML Based Electromagnetic Compatibility Monitoring and Prediction System for Biomedical Devices

A Hybrid IoT-ML Based Electromagnetic Compatibility Monitori...

引用

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

作者： Jean Pierre Nyakuri Omar Gatera Chiedza Hwata Gerard Rushingabigwi Celestin Twizere Didacienne Mukanyiligira African Centre of Excellence in Internet of Things (ACEIoT) University of Rwanda Kigali Rwanda East Africa's Regional Centre of Excellence in Biomedical Engineering and E-Health (CEBE) University of Rwanda Kigali Rwanda

ISBN: (数字)9798350384819

ISBN: (纸本)9798350384826

The increasing of electromagnetic radiation from wireless electronic devices has raised concerns regarding electromagnetic compatibility (EMC) and the potential for electromagnetic interference (EMI) in healthcare environments especially for critical medical equipment. To address this challenge, regular inspection is required. We propose an innovative solution integrating Internet of Things (IoT) technology and machine learning (ML) algorithms for monitoring and predicting EMC levels for medical equipment. This research focuses on the development and implementation of a wireless sensor network (WSN) capable of capturing realtime data from medical equipment and surrounding environment such as electromagnetic radiation (EMR), temperature, operating voltage and aging of medical devices. This data is integrated into a ML model based on multi linear regression (MLR) to predict EMC and anticipate potential EMI events. The system utilizes a Raspberry Pi 4 for processing data to the edge of network and GSM/GPRS SIM7600 4G HAT for data transmission along with sensors for temperature, EMI, and operating voltage, sending data to cloud for further analysis and visualization. A dashboard is built for remote monitoring via cloud platform. The regression equations generated by ML algorithm, accurately forecast EMC levels based on environmental factors and device characteristics. Alerts are disseminated via email and smartphone notifications to facilitate timely intervention and ensure uninterrupted operation of medical equipment. Our findings warrantee the effectiveness of proposed system for proactively monitoring EMC hazards from biomedical devices and surrounding electronic equipment so as to improve hospital safety for both patients and staff.

关键词： Temperature sensors Wireless sensor networks Temperature distribution Electric potential Electromagnetic interference signal processing algorithms Voltage Electromagnetic radiation Electromagnetic compatibility Internet of Things

来源：评论

学校读者我要写书评

暂无评论

Random Forest-Based Enhanced Detection of Lumpy Skin Disease Under Two Data Types

Random Forest-Based Enhanced Detection of Lumpy Skin Disease...

引用

International Conference on signal processing, Communication, Power and Embedded System (SCOPES)

作者： Madhumita Pal Ganapati Panda Rajiv Lochan Bal Dept. of Electrical Engineering Government College of Engineering Keonjhar Odisha India Dept. of Electronics & Telecommunication Engineering C.V.Raman Global University Bhubaneswar India Dept. of Mining Engineering Orissa School of Mining Engg. Keonjhar India

ISBN: (数字)9798331506452

ISBN: (纸本)9798331506469

The deadly and extremely contagious Lumpy Skin Lesion Disease (LSLD) frequently affects cattle. Tough raised nodules that form on the cattle's body, high fever, sterility, and a marked reduction in milk output by nursing cattle are typical symptoms of LSLD. Drooling eyes, increased nasal and salivary secretions, genital and limb problems, and a reluctance to move or eat are among the symptoms. Furthermore, predicting the course of the disease in advance can significantly lessen the economic burden, even though the mortality rate among cattle infected with LSLD is low. A random forest (RF) machine learning (ML) model was used in this work to ascertain whether or not cattle have lumpy skin disease. The paper's main goal is to use an RF model to discover and classify lumpy skin lesions in cattle as normal, mild, or severe. Veterinarians can save many cattle's lives by detecting the sickness early. To evaluate the effectiveness of the random forest model, we also looked at two aspects of the dataset: balanced and imbalanced. The random forest model with an unbalanced dataset yielded the following results: 0.74, 0.76, 0.89, 0.82, 0.63&0.75 for normal skin, 0.74, 0.52, 0.35, 0.42, 0.63, and 0.33 for mild lumpy skin lesions, and 0.74,0.50,0.22,0.31,0.60, and 0.18 for severe lumpy skin lesions. These findings were derived for the precision-recall curve (P-R), accuracy (Arc), precision (Pn), recall (RI), Fl-score, and the area under the curve (AUC). Accuracy (Arc) 97.13, precision (Pn) 0.96, recall (RI) 0.91, F1-score 0.93, the area under the curve (AUC) 0.94, and P-R curve value 0.90 are the metrics for categorizing normal skin for a balanced dataset. The following values were obtained to classify minor lumpy skin lesions: Arc 97.13, Pn 0.92, RI 0.94, F1-score 0.93, AUC 0.95, and P-R 0.88. An Arc of 97.13, pn of 0.96, Rl of 0.99, F1-score of 0.97, AUC value of 0.98, and P-R value of 0.95 are the results for severe lumpy skin lesions. Various training schemes can also evalua

关键词： Radio frequency Training Accuracy signal processing algorithms Cows signal processing Skin Lesions Random forests Diseases

来源：评论

学校读者我要写书评

暂无评论

Revisiting semi-supervised training objectives for differentiable particle filters

Revisiting semi-supervised training objectives for different...

引用

Sensor Array and Multichannel signal processing Workshop

作者： Jiaxi Li John-Joseph Brady Xiongjie Chen Yunpeng Li Computer Science Research Centre University of Surrey Guildford United Kingdom

ISBN: (数字)9798350344813

ISBN: (纸本)9798350344820

Differentiable particle filters combine the flexibility of neural networks with the probabilistic nature of sequential Monte Carlo methods. However, traditional approaches rely on the availability of labelled data, i.e., the ground truth latent state information, which is often difficult to obtain in real-world applications. This paper compares the effectiveness of two semi-supervised training objectives for differentiable particle filters. We present results in two simulated environments where labelled data are scarce.

关键词： Training Monte Carlo methods Conferences Neural networks signal processing algorithms Performance gain Probabilistic logic

来源：评论

学校读者我要写书评

暂无评论

Epilepsy Detection: Neural Network With PSO-Based Feature Selection

Epilepsy Detection: Neural Network With PSO-Based Feature Se...

引用

Brain Computer Interface & Healthcare Technologies (iCon-BCIHT), International Conference on

作者： Avani P P Josline Elsa Joseph Athul S Dona Mathews Aswin Raj V Aswin Sunil Department of Biomedical Engineering TKM Institute Of Technology Ezhukone Kerala India Dept. of Electronics&Biomedical Engg. Adi Shankara Institute of Engineering and Technology Ernakulam India

ISBN: (数字)9798331540067

ISBN: (纸本)9798331540074

Epilepsy is a persistent neurological condition marked by recurring, spontaneous seizures caused by unusual electrical brain activity. The nature and intensity of these seizures can vary greatly, spanning from momentary distractions or muscle twitches to severe and extended convulsions. Early detection and diagnosis are crucial to manage epilepsy effectively, as timely intervention with medications and other therapeutic strategies can help control seizures and improve quality of life for those affected. Electroencephalogram (EEG) is widely used diagnostic tool for recognizing abnormal activities of brain and helps to identify epilepsy cases but it is very time consuming,prone to artifacts and vary with the interpreter's experience. This study aims to develop a robust and efficient algorithm to detect different stages of epilepsy from EEG data. The proposed approach integrates Particle Swarm Optimization (PSO) for feature selection with a deep learning neural network to improve the accuracy and reliability of seizure detection. The detection model uses the features extracted from complete ensemble empirical based decomposed EEG signals. Features are optimized by Particle Swarm Organization which is input into classifier employing the artificial neural network (ANN)mechanism. Employing these methods, pre-ictal, ictal and inter-ictal stages of epilepsy is identified in EEG. The proposed approach successfully classified these epileptic stages with an accuracy of 98.33%. This enhanced epilepsy detection system holds significant potential for improving patient outcomes through early and accurate detection of seizures, providing a robust tool for neurologists and healthcare providers in the management of epilepsy.

关键词： Accuracy Epilepsy signal processing algorithms Medical services Artificial neural networks Feature extraction Electroencephalography Reliability Particle swarm optimization Biological neural networks

来源：评论

学校读者我要写书评

暂无评论

Orthogonal Symmetric Nonnegative Matrix Tri-Factorization

Orthogonal Symmetric Nonnegative Matrix Tri-Factorization

引用

IEEE Workshop on Machine Learning for signal processing

作者： Alexandra Dache Arnaud Vandaele Nicolas Gillis University of Mons

ISBN: (数字)9798350372250

ISBN: (纸本)9798350372267

Symmetric nonnegative matrix tri-factorization (trisymNMF) factorizes a symmetric input n-by-n matrix, $X$ , using two matrices, a nonnegative $n$ -by- $r$ matrix $W$ and a nonnegative symmetric $r$ -by- $r$ matrix $S$ , such that $X\approx WSW^{\mathrm{T}}$ . trisym-NMF has been used in many applications, including topic modeling and community detection. In the latter application, each column of $W$ corresponds to a community, and the entries of $S$ indicate the interactions between the communities. In this paper, we focus on the particular case of an orthogonal matrix $W$ , corresponding to the case of disjoint communities. We first analyse this problem, and in particular provide an identifiability result. Then we propose an efficient coordinate descent method that exploits the properties of the problem to solve it efficiently. We also propose a new initialization strategy, provably correct in the noiseless case and robust to noise, relying on smooth separable NMF. Empirically, we show that our method outperforms the state of the art on synthetic and real data.

关键词： Symmetric matrices Accuracy Machine learning algorithms Conferences Noise signal processing algorithms Machine learning

来源：评论

学校读者我要写书评

暂无评论

Design and Analysis of IPFC-Based Damping Controller

Design and Analysis of IPFC-Based Damping Controller

引用

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

作者： Rajendra Ku. Khadanga Sidhartha Panda Preeti Ranjan Sahu Sasmita Padhy Department of Electrical and Electronics Engineering Centurion University of Technology and Management Bhubaneswar India Department of Electrical Engineering Veer Surendra Sai University of Technology Burla India Department of Electrical and Electronics Engineering NIST University of Science and Technology Berhampur India

ISBN: (数字)9798331540685

ISBN: (纸本)9798331540692

This work presents a novel design methodology for creating a supplementary damping controller based on an Interline Power flow controller (IPFC). This strategy appears to be quite effective and yields positive results. Low-frequency oscillation (LFO) is a significant problem in every power system. This is mainly due to a minor disturbance in a power system. This proposed study considers an IPFC installed inside an SMIB power system. A damping controller is used to lower the low frequency of oscillation. An optimization difficulty is determining the controller parameter. This study discovers the damping controller's parameters by applying the Gravitational Search Algorithm (GSA). The simulation-based results are displayed and contrasted with previously published results derived from the Phase Compensation Technique (PCT).

关键词： Damping Simulation signal processing algorithms signal processing Control systems Power systems Oscillators

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 << < 491 492 493 494 495 496 497 498 499 500 > >>

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：