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4861-4870 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 Linear Programming and Grey Wolf Optimization Algorithm in Energy Storage System Configuration

Research on Linear Programming and Grey Wolf Optimization Al...

引用

signal processing, Communications and Engineering Management Conference (ISPCEM), International

作者： Wentao Li Tao Shen College of Automation Nanjing University of Science and Technology Nanjing China

ISBN: (数字)9798331528676

ISBN: (纸本)9798331528683

This paper focuses on the research and application of linear optimization algorithm and grey Wolf optimization algorithm, takes the energy storage system configuration optimization of the park energy system as the research object, and discusses in detail the similarities and differences and advantages of the energy storage system configuration under the three modes of independent operation, joint operation and collaborative configuration of wind storage. Firstly, a linear programming model for optimizing system configuration was established to determine the optimal energy storage power and capacity. In addition, under the consideration of State of Charge (SOC) and other constraints, the grey Wolf optimization algorithm was applied to further optimize the energy storage system configuration of independent parking lots to improve the accuracy and reliability of the optimization results. Secondly, the optimal energy storage configuration of the independent park is analyzed in detail, and the optimal energy storage scheme is deduced through the solution of the model and algorithm, which reflects the superiority of linear programming and grey Wolf optimization algorithm. The final focus is on developing a coordinated future configuration scheme for wind and solar storage. At the same time, the peak and valley electricity factor is introduced into the linear programming model, and the optimized grey Wolf algorithm is used to obtain the optimized energy scheduling and energy storage utilization strategy of the park's power generation and electricity price changes in the next five years.

关键词： Computational modeling signal processing algorithms Microgrids Linear programming Approximation algorithms Reliability engineering Mathematical models Scheduling Optimization Energy storage

来源：评论

学校读者我要写书评

暂无评论

A Deep Network Solution for DOA Estimation of Adjacent signals with Uncertain Number

A Deep Network Solution for DOA Estimation of Adjacent Signa...

引用

IEEE International Conference on Information Communication and signal processing (ICICSP)

作者： Liyuan Zhu Ke Song Fei Huang Juan Rong Qianrong Lu Shanghai Radio Equipment Research Institute Shanghai China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

This paper introduces a deep neural network algorithm to estimate the direction of arrival (DOA) of nearby signals under unknown source number. Firstly, the covariance matrix is processed by a multi-channel convolutional network to extract the features of each potential signal, and then the on-grid estimates of independent components are obtained. Subsequently, by combining these extracted features and the spectral peak angles from each channel, a deep fully connected network calculates the continuous DOA estimates, meanwhile the number of signals is estimated simultaneously. Finally, the simulations have been carried out to validate the performance of the proposed algorithm with respect to generalization ability in DOA estimation. Moreover, the proposed algorithm could also offer superior resolution than that of the classic MUSIC algorithm, especially for the low signal-to-noise ratio, few snapshots, and adjacent signals.

关键词： Direction-of-arrival estimation Simulation signal processing algorithms Estimation Feature extraction Multiple signal classification Convolutional neural networks Spatial resolution signal resolution signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Web Based Legal Text Summarizer

Web Based Legal Text Summarizer

引用

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

作者： Sowmya Uppala Saradhambica Kesavarapu NV S Shankar P A Sunny Dayal A Sravani CVKK Chaitanya Department of CSE Centurion University of Technology and Management Vizianagaram Andhra Pradesh India Department of AI&DS GIT GITAM Visakhapatnam India Department of Anesthisia Centurion University Vizianagaram Andhra Pradesh India

ISBN: (数字)9798331506452

ISBN: (纸本)9798331506469

The legal industry is currently grappling with the issue of a growing backlog of unresolved cases. This paper aims to address the problem by proposing a web-based tool designed to generate extractive summaries from selected legal documents. These summaries can support decision-making within the judicial process. The primary goal of the tool is to reduce the time and effort legal professionals spend reviewing case files, thereby streamlining workflows. The key objective is to identify cases that can be resolved or settled more efficiently, allowing legal practitioners and courts to focus their attention on more complex matters. To achieve this, the tool must generate comprehensive summaries of key elements within the case documents. Three unsupervised and two supervised learning techniques for summarizing legal texts were investigated during the development process. Of these, the TextRank, an unsupervised learning algorithm, delivered optimal results. Consequently, this method was implemented in the tool to ensure effective and accurate summarization of lengthy legal documents. The system helps streamline the handling of pending case files and assists decision-makers in accelerating their work by summarizing important case details such as evidence and legal sections. It ensures no crucial statements are overlooked, which could be critical for the case. Additionally, a web application was developed to implement the TextRank method, automating the process. The generated summaries are stored in a database for future reference, providing a useful resource for ongoing and future legal matters.

关键词： Industries Embedded systems Law Supervised learning Decision making Text summarization signal processing algorithms signal processing Object recognition Unsupervised learning

来源：评论

学校读者我要写书评

暂无评论

Infrared small target detection based on long-short term frame difference algorithm(LSTFD)

Infrared small target detection based on long-short term fra...

引用

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

作者： Bing Zhu Jiahui Shi Ruixing Yu Weixin Gao Siyu Wang School of Electronic Engineering Xi'an Shiyou University Xi'an China School of Astronautics Northwestern Polytechnical University Xi'an China

ISBN: (数字)9798331516550

ISBN: (纸本)9798331516567

According to the characteristic that the position change of small infrared target in sequence images is more obvious than background and noise, an infrared small target detection algorithm based on multi-frame time domain information is proposed, called the Long-Short Term Frame Difference (LSTFD) algorithm. The algorithm first adopts the SURF (Speeded Up Robust Feature) alignment strategy to eliminate the relative motion of background pixels caused by camera shake and achieve global motion compensation. Then, the image sequence is constructed based on the current frame, and the computational results of long-interval difference and short-interval difference are combined to detect the infrared small targets. The experimental results show that the LSTFD algorithm can accurately detect moving targets with high detection accuracy and low false alarm rate under the condition of low signal-to-noise ratio. And the average detection rate can reach over 90% on five sets of experimental data.

关键词： Accuracy signal processing algorithms Object detection Cameras Motion compensation Trajectory Image sequences Motion measurement Time-domain analysis signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

"Next-Gen Vehicle Safety: The Futuristic Approach to Auto-Stop in Modern Vehicles"

"Next-Gen Vehicle Safety: The Futuristic Approach to Auto-St...

引用

International Conference on Communications and signal processing

作者： Anil Kumar Thandlam T. Vignesh A Saravanan Prakash Subramani Ramaganesh Marimuthu Sandeep Gupta Department of Petroleum Technology Aditya University Surampalem India Department of Mechanical & Mechatronics Engineering (AM) SNS College of Engineering Coimbatore India Department of Mechanical Engineering Kongu Engineering College Perundurai Erode India Department of Electronics and Communication Engineering Adhiparasakthi Engineering College Melmaruvathur Tamil Nadu India Department of Mechanical Engineering Kalasalingam Academy of Research and Education Krishnan Kovil India Department of Electrical Engineering Graphic Era (Deemed to be University) Dehradun (Uttarakhand) India

ISBN: (数字)9798350353068

ISBN: (纸本)9798350353075

In the realm of next-generation vehicle safety, this project introduces a cutting-edge approach to auto-stop functionality in modern vehicles. Leveraging the state-of the-art YOLO (You Only Look Once) algorithm, the system focuses on enhancing driver safety through two critical aspects: facial identification and drowsiness monitoring. The YOLO algorithm efficiently detects and analyses facial features, providing real-time identification of the driver. Simultaneously, the system employs advanced drowsiness monitoring techniques, utilizing facial cues to gauge the driver's alertness levels. This futuristic safety initiative aims to mitigate potential accidents caused by driver fatigue or distraction by implementing an automatic auto-stop mechanism. The YOLO algorithm's speed and accuracy play a pivotal role in enabling swift and reliable detection of facial attributes, ensuring a seamless integration with the vehicle's safety system. By seamlessly integrating facial identification and drowsiness monitoring, the project presents a comprehensive solution to enhance road safety. The innovation lies in the project's ability to interpret facial expressions, track eye movements, and discern signs of drowsiness, enabling the vehicle to proactively intervene when a compromised driver state is detected. With an emphasis on real-time responsiveness, the system strives to revolutionize auto-stop technology, creating a safer driving environment for both the driver and other road users. This abstract encapsulates a groundbreaking fusion of advanced computer vision, machine learning, and automotive safety, ushering in a new era of proactive accident prevention in next-gen vehicles.

关键词： YOLO Technological innovation Vehicle safety signal processing algorithms Prediction algorithms Real-time systems Safety

来源：评论

学校读者我要写书评

暂无评论

SecretPixel: Advanced Steganography with Seeded Random Embedding and AES-RSA Encryption

SecretPixel: Advanced Steganography with Seeded Random Embed...

引用

Intelligent signal processing and Effective Communication Technologies (INSPECT), IEEE International Conference on

作者： Aditya Barnwal Aryman Sah Rajkumar S Naman Umesh Khera Rohan Srivastav Achyuthan Sivasankar SCOPE Vellore Institure of Technology Vellore India

ISBN: (数字)9798350379525

ISBN: (纸本)9798350379532

This paper presents SecretPixel, a steganographic tool that integrates random embedding techniques and advanced encryption to securely hide data within images. SecretPixel ensures confidentiality and integrity of the embedded data using AES-2S6 and RSA-4096 encryption algorithms. The Pixel Scattered Embedding (PSE) method hides encrypted information across image pixels, using a seeded random generator, enhancing resistance against steganalysis detection. This combination of two-tiered encryption, efficient compression and embedding strategies makes SecretPixel an effective solution for data concealment in digital communication.

关键词： Resistance Visualization Steganography Fault tolerance Image coding signal processing algorithms signal processing Digital communication Generators Encryption

来源：评论

学校读者我要写书评

暂无评论

HRRP Synthesis of Sparse Frequency Stepped Waveform with Time-Varying Amplitude Errors

HRRP Synthesis of Sparse Frequency Stepped Waveform with Tim...

引用

International Conference on Vision, Image and signal processing (ICVISP)

作者： Shuang Cui Shuai Shao Hongwei Liu National Key Laboratory of Radar Signal Processing Xidian University Xi'an China

ISBN: (数字)9798331541460

ISBN: (纸本)9798331541477

Compared to narrowband signals, the high-resolution range profile (HRRP) images of non-cooperative targets offer enhanced distance resolution and richer target information, which is crucial in the field of radar automatic target recognition. To alleviate the stringent hardware demands linked to wideband signal processing and minimize sampling point requirements, employing sparsely spaced frequency-hopping pulse trains presents an effective approach for HRRP generation. However, when the radar system is unstable, it can lead to parameter estimation errors. The amplitude of the radar echoes may vary over time, resulting in degraded image quality from traditional HRRP synthesis methods. To tackle this issue, this paper proposes an algorithm designed to mitigate the effects of time-varying amplitude (TVA) errors on synthesized HRRP, employing sparse frequency stepped waveform (SFSW). Extensive experimental results based on simulations demonstrate the effectiveness and robustness of this approach.

关键词： Frequency synthesizers Time-frequency analysis Target recognition Simulation signal processing algorithms Radar Radar imaging Wideband Time-varying systems signal resolution

来源：评论

学校读者我要写书评

暂无评论

Loan Approval Prediction Based on Tabu Search Optimization Technique

Loan Approval Prediction Based on Tabu Search Optimization T...

引用

signal processing and Advance Research in Computing (SPARC), International Conference on

作者： Rishika Chittimalla Alekhya Cholleti Sanjana Gunda Vyshnavi Manthurthi Anshu Kumar Dwivedi CSE(AIML) SR University Warangal India School of Computer Science Engineering and Technology Bennett University Greater Noida India

ISBN: (数字)9798350385205

ISBN: (纸本)9798350385212

The banks and their customers know loan approval methods. Although traditional methods like taking all the relevant information are time-consuming, there is a need for technology, which can result in machine learning algorithms being applied to the data sets that contain the past data of customers to help in predicting whether the loan is being approved or not. Now the question is how much these algorithms predict accurate results, our research paper tells how the optimization we applied will maximize the number of loan approvals and minimize the risk analysis. We applied the Tabu search optimization along with a few machine-learning algorithms on the loan data set, and our accuracy is about ${9 8 \%}$.

关键词： Support vector machines Accuracy Machine learning algorithms signal processing algorithms signal processing Prediction algorithms Risk analysis Optimization Regression tree analysis Random forests

来源：评论

学校读者我要写书评

暂无评论

Enhancing CNN Classification with Lamarckian Memetic algorithms and Local Search

Enhancing CNN Classification with Lamarckian Memetic Algorit...

引用

signal processing and Advance Research in Computing (SPARC), International Conference on

作者： Akhilbaran Ghosh Rama Sai Adithya Kalidindi Tata Consultancy Services Limited Mumbai India Shiv Nadar University Dadri Uttar Pradesh India

ISBN: (数字)9798350385205

ISBN: (纸本)9798350385212

Optimization is critical for achieving optimal performance in deep neural networks (DNNs). Traditional gradient-based methods, such as stochastic gradient descent (SGD) and ADAM, often face challenges like local minima entrapment and slow convergence rates. This paper explores population-based metaheuristic optimization algorithms for image classification networks. We propose a novel approach integrating a two-stage training technique with population-based optimization algorithms and local search capabilities to enhance solution quality and convergence speed. In the first stage, a global search is conducted using a population-based algorithm to explore the solution space extensively, allowing the network to escape local minima and find promising regions. In the second stage, a local search fine-tunes the solutions from the global search, ensuring improved accuracy and stability. Our experiments show that the proposed method outperforms state-of-the-art gradient-based techniques like ADAM in accuracy and computational efficiency, particularly in scenarios with high computational complexity and numerous trainable parameters. The results suggest that our approach offers a robust and efficient alternative for weight optimization in convolutional neural networks (CNNs). Future work will explore integrating adaptive mechanisms for parameter tuning and extending the method to other types of neural networks and real-time applications.

关键词： Training Accuracy signal processing algorithms Feature extraction Classification algorithms Convolutional neural networks Optimization Genetic algorithms Convergence Image classification

来源：评论

学校读者我要写书评

暂无评论

Design of Cognitive Radar Orthogonal Subpulse Width against Multiple Jamming

Design of Cognitive Radar Orthogonal Subpulse Width against ...

引用

European signal processing Conference (EUSIPCO)

作者： Yi Wang Xianxiang Yu Tao Fan Guolong Cui School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9789464593617

ISBN: (纸本)9798331519773

This paper develops a Cognitive Radar Orthogonal Subpulse Width Design Framework (CROSWDF) to counter multiple mainlobe Interrupted Sampling Repeater Jamming (ISRJ). Specifically, this framework sequentially emits three subpulses, labeled 1, 2, and 3, in the time domain, where subpulses 1 and 3 are shielding signals designed to deceive the jammers, and subpulse 2 is the probing signal for target detection. The framework employs a greedy search algorithm with a Convolutional Neural Network (CNN) to acquire the Subpulse Widths (SW) of subpulses 1 and 3 online, pulse by pulse, to prevent subpulse 2 from being sampled. The CNN is utilized to check if subpulse 2 is disturbed and to measure the current SW value. Numerical simulations demonstrate that the proposed framework can effectively optimize the SW of subpulses 1 and 3 in the presence of multiple targets and multiple ISRJ with different jamming types and modulated parameters, achieving reliable detection performance compared to some existing methods.

关键词： Design methodology signal processing algorithms signal processing Cognitive radar Repeaters Numerical simulation Convolutional neural networks Reliability Jamming Time-domain analysis

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 << < 483 484 485 486 487 488 489 490 491 492 > >>

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：