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

14,191 篇 会议
294 篇 期刊文献
199 册 图书
6 篇 学位论文

馆藏范围

14,690 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

7,903 篇 工学
- 5,308 篇 计算机科学与技术...
- 2,565 篇 软件工程
- 2,534 篇 电气工程
- 1,454 篇 信息与通信工程
- 939 篇 控制科学与工程
- 753 篇 光学工程
- 548 篇 生物医学工程（可授...
- 536 篇 电子科学与技术（可...
- 513 篇 仪器科学与技术
- 488 篇 机械工程
- 358 篇 生物工程
- 246 篇 测绘科学与技术
- 185 篇 材料科学与工程（可...
- 173 篇 航空宇航科学与技...
- 150 篇 交通运输工程
- 111 篇 安全科学与工程
- 96 篇 化学工程与技术
3,834 篇 理学
- 2,639 篇 物理学
- 1,009 篇 数学
- 411 篇 生物学
- 276 篇 系统科学
- 256 篇 统计学（可授理学、...
- 133 篇 化学
1,610 篇 医学
- 1,422 篇 临床医学
- 250 篇 特种医学
- 185 篇 基础医学(可授医学...
- 113 篇 药学(可授医学、理...
782 篇 管理学
- 469 篇 管理科学与工程(可...
- 339 篇 图书情报与档案管...
- 98 篇 工商管理
67 篇 农学
60 篇 法学
37 篇 教育学
30 篇 经济学
27 篇 文学
20 篇 军事学
19 篇 艺术学
1 篇 哲学

主题

2,879 篇 image processing
1,507 篇 image segmentati...
1,202 篇 signal processin...
660 篇 feature extracti...
626 篇 cameras
592 篇 image edge detec...
590 篇 signal processin...
530 篇 image coding
524 篇 image reconstruc...
475 篇 real-time system...
416 篇 algorithm design...
354 篇 image analysis
352 篇 image color anal...
333 篇 deep learning
332 篇 image enhancemen...
312 篇 object detection
305 篇 pixel
300 篇 hardware
299 篇 real time system...
294 篇 computer archite...

机构

22 篇 signal and image...
19 篇 samara national ...
14 篇 school of electr...
12 篇 department of el...
11 篇 samara national ...
11 篇 univ texas san a...
10 篇 school of electr...
10 篇 center for signa...
9 篇 information syst...
9 篇 institute of ima...
9 篇 tongji universit...
9 篇 university of ch...
8 篇 school of electr...
8 篇 univ chinese aca...
8 篇 university of to...
8 篇 purdue univ sch ...
8 篇 electrical compu...
8 篇 image processing...
8 篇 information syst...
8 篇 samara national ...

作者

19 篇 anon
13 篇 de-shuang huang
12 篇 jagdish chand ba...
11 篇 p. pirsch
10 篇 jie yang
10 篇 panetta karen
10 篇 j.m. mendel
9 篇 c.-c.j. kuo
9 篇 mahalanobis a
9 篇 r. chellappa
8 篇 miller jwv
8 篇 semenishchev e.
8 篇 frank hannig
8 篇 hannig frank
8 篇 ilias maglogiann...
7 篇 busch christoph
7 篇 zelensky a.
7 篇 bovik alan c.
7 篇 jerry m. mendel
7 篇 kupriyanov a.v.

语言

14,370 篇 英文
220 篇 其他
82 篇 中文
20 篇 土耳其文
6 篇 德文
3 篇 葡萄牙文
2 篇 西班牙文
2 篇 俄文
1 篇 法文
1 篇 波兰文

检索条件"任意字段=Conference on Image Processing - Algorithms and Systems III"

共 14690 条记录，以下是971-980 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：

A Novel Extraction Algorithm for Pixel Recognition in AI images with Feature Point

A Novel Extraction Algorithm for Pixel Recognition in AI Ima...

引用

Integrated Intelligence and Communication systems (ICIICS), International conference on

作者： Jiajia Fan Bo Yuan Zhuang Jin College of Computer Guangdong University of Science and Technology Dongguan China

ISBN: (数字)9798331504960

ISBN: (纸本)9798331504977

In the era of big data, image processing still faces significant bottlenecks compared to other fields of computer science. In this paper we studied the feature point extraction algorithm based on gray points and the stereo matching technique, both of them play important roles in image processing. The feature point extraction algorithm based on gray points includes Moravec algorithm and Susan Algorithm. The results indicate that it can discover that simplified inverse filter tracking (SIFT) algorithm is the best algorithm among all the feature point extraction algorithms, which has have strong stability, fast calculating speed and high accuracy. In stereo image matching technique, we found that dense matching algorithm plays an important role in target detection and tracking in the three-dimensional reconstruction operations. By comparing the matching process between traditional nearest neighbor matching and this paper's matching algorithm, we concluded that the matching relationship in this algorithm is entirely correct.

关键词： Matched filters Target tracking image recognition image matching Object detection Feature extraction Stability analysis Classification algorithms Standards image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Hardware Accelerated Thermal image processing for the Detection of Induction Motor Faults Based on Statistical Features 49

Hardware Accelerated Thermal Image Processing for the Detect...

引用

49th Annual conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Alvarado-Hernandez, Alvaro Ivan Osornio-Rios, Roque Alfredo Zamudio-Ramirez, Israel Antonino-Daviu, Jose Alfonso Universidad Autonoma de Queretaro Facultad de Ingenieria Queretaro Mexico Instituto Tecnológico de la Energía Universitat Politecnica de Valencia Valencia Spain

ISBN: (纸本)9798350331820

Condition monitoring and predictive maintenance of induction motors have great relevance in industrial applications. Nowadays, there are different techniques to analyze electronic signals from different types of sensors. At the same time, the application of FPGA-based hardware acceleration has gained traction in recent years due to the increasing demand for time and energy optimization. However, the application of hardware-accelerated algorithms in condition monitoring applications has yet to be explored despite its potential to improve online fault detection systems. This paper presents the implementation of an FPGA-based hardware-accelerated thermal image processing pipeline on the PYNQ Z2 board based on two image statistical features (mean and standard deviation) to detect five different induction motor mechanical fault conditions: misalignment, unbalanced load, bearing defect on the outer race, two broken rotor bars, and a healthy case that was used as reference. The hardware implementation of the thermal image statistical feature computation made it possible to reduce the computational load and the computation time on the development board. © 2023 IEEE.

关键词： Induction motors

来源：评论

学校读者我要写书评

暂无评论

3rd EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2022

3rd EAI International Conference on Cognitive Computing and ...

引用

3rd EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2022

ISBN: (纸本)9783031289743

The proceedings contain 22 papers. The special focus in this conference is on Cognitive Computing and Cyber Physical systems. The topics include: Performance Evaluation of Fast DCP Algorithm for Single image Dehazing;Non Destructive Analysis of Crack Using image processing, Ultrasonic and IRT: A Critical Review and Analysis;ioT Enabled Driver Compatible Cost-Effective System for Drowsiness Detection with Optimized Response Time;Voice Based Objects Detection for Visually Challenged Using Active RFID Technology;depth Estimation and Navigation Route Planning for Mobile Robots Based on Stereo Camera;Water Level Forecasting in Reservoirs Using Time Series Analysis – Auto ARIMA Model;water Quality Monitoring Using Remote Control Boat;study of Smart City Compatible Monolithic Quantum Well Photodetector;frequency Reconfigurable Antenna for 5G Applications at n77 and n78 Bands;solar Energy Prediction using Machine Learning with Support Vector Regression Algorithm;analysis of Acoustic Channel Model Characteristics in Deep-Sea Water;A Comprehensive Review on Channel Estimation Methods for Millimeter Wave MIMO systems;comparison of Acoustic Channel Characteristics in Shallow and Deep-Sea Water;price Estimation of Used Cars Using Machine Learning algorithms;Machine Learning Framework for Identification of Abnormal EEG Signal;alzheimer’s Disease Detection Using Ensemble of Classifiers;publishing Data Objects in Data Aware Networking;youTube Comment Analysis Using Lexicon Based Techniques;Information Theoretic Heuristics to Find the Minimal SOP Expression Considering Don’t Care Using Binary Decision Diagrams;single image Dehazing Through Feed Forward Artificial Neural Network.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Face Detection and Face Recognition using Haar Cascade Algorithm

Face Detection and Face Recognition using Haar Cascade Algor...

引用

Recent Trends in Computer Science and Technology (ICRTCST), International conference on

作者： B. Harshini Department of Electrical and Electronics Engineering VNR Vignana Jyothi Institute of Engineering & Techology Hyderabad India

ISBN: (数字)9798350351378

ISBN: (纸本)9798350351385

Human Face Detection (FD)is a demanding topic in areas of image processing and pattern identification. Facial expression conveys non-verbal cues, which plays crucial role in social relations. Facial Expression is a significant yet challenging task, as we can use it to recognize emotions and mental state of individual. In this paper, using image processing and Machine Learning (ML), we differentiate the captured image with the trained dataset and then display the state of image. These handles detection and recognizing multiple faces in real time. Face Recognition (FR) can be done using two methods like FD and FR. This paper describes use of ML algorithms in real time which is used for FD and FR that is Haar Cascade algorithm.

关键词： Emotion recognition Machine learning algorithms Face recognition image processing Machine learning Market research Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Research on Enhanced Perception and Attention-Driven Person Re-Identification 20

Research on Enhanced Perception and Attention-Driven Person ...

引用

20th International conference on Natural Computation, Fuzzy systems and Knowledge Discovery, ICNC-FSKD 2024

作者： Wu, Cancan Li, Dong Zhang, Zhi College of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Hubei Wuhan430065 China Big Data Science and Engineering Research Institute Wuhan University of Science and Technology Hubei Wuhan430065 China

ISBN: (纸本)9798350356328

When matching similarity among pedestrians in images, pedestrian re-identification algorithms are often disturbed by occlusions. A typical tactic is to improve the robustness of occlusion features in the model. However, this approach neglects the noise introduced by other pedestrians in the image, leading to limited learning of relevant information between images. To address these issues, this paper introduces a pedestrian re-identification model that leverages perception-enhanced and attention mechanisms. By enhancing the perception of non-pedestrian noise and erasing non-pedestrian features, we then employ a cross-attention mechanism to subtly embed global and local features for finer feature recognition. Finally, through context attention, we learn the interaction between pedestrian images to improve re-identification accuracy. Results from studies performed on the Market-1501, CUHK03-D, and Duke-ReID datasets indicate that the suggested model surpasses leading contemporary models regarding Rank-1 scores and mean Average Precision (mAP), while maintaining good robustness. © 2024 IEEE.

关键词： Reamers

来源：评论

学校读者我要写书评

暂无评论

Design of a University Innovation and Entrepreneurship Project Management System Based on Web and Collaborative Filtering algorithms

Design of a University Innovation and Entrepreneurship Proje...

引用

image processing and Computer Applications (ICIPCA), IEEE International conference on

作者： Peng Yu Wuhan Polytechnic Wuhan Hubei China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

Given the significant challenges affecting college learners in regards to entrepreneurship and innovation as viewed in the traditional Chinese enterprise cooperation, the need for an innovative and entrepreneurship training program remains essential. This paper therefore seeks to design a project management system intended to improve entrepreneurship and innovation in universities. The system will be designed to run on a WEB-based operation module that relies on a mathematical and statistical model used to advance its prospects. An entrepreneurial and innovation classification system will further be incorporated into the system through the use of the CBLOF(t) concept. Computer algorithms will in this case play a critical role in the personalization and the optimization of the innovative and entrepreneurial project management system. Based on this, a monitoring function will equally be incorporated into the system to address abnormalities in the processing of innovative and entrepreneurial data. The outcomes of the systems are intended to enable university students to gain a deeper understanding of innovative and entrepreneurial projects, thus promoting the quality of project management.

关键词： Training Technological innovation image processing Entrepreneurship Project management Computer applications Mathematical models Classification algorithms Monitoring Optimization

来源：评论

学校读者我要写书评

暂无评论

Dynamic Line Sag Monitoring Using image-Based Bézier Curve Fitting

Dynamic Line Sag Monitoring Using Image-Based Bézier Curve ...

引用

IEEE SSD International Multi-conference on systems, Signals and Devices

作者： Achref Abed Hafedh Trabelsi Faouzi Derbel Faculty Engineering Sciences University of Applied Sciences Leipzig Leipzig Germany Department of Electrical Engineering and Information Technology National Engineering School of Sfax Sfax Tunisia

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

This paper presents an automated system for detecting the sag of overhead transmission lines using image processing. A camera, mounted centrally between two towers, is repositioned using stepper motors to ensure symmetrical alignment with the transmission line. By detecting the lowest point of the line in the image, the system estimates the sag through Bezier curve fitting and converts the pixel-based measurements into real-world dimensions. The proposed system demonstrates high precision and accuracy, providing a reliable method for sag measurement in transmission line monitoring.

关键词： Power transmission lines Accuracy image processing Heuristic algorithms Poles and towers Transmission line measurements Real-time systems Safety Curve fitting Monitoring

来源：评论

学校读者我要写书评

暂无评论

A Deep Neural Network for image Classification Using Mixed Analog and Digital Infrastructure 3rd

A Deep Neural Network for Image Classification Using Mixed A...

引用

3rd International conference on Emergent Converging Technologies and Biomedical systems, ETBS 2023

作者： Kala, R. Punitha, M. Poomani Alias Banupriya, P.G. Veerasamy, B. Bharathi, B. Alzubi, Jafar Ahmad Abed Associate professor Department of Computer Science and Engineering Karpagam College of Engineering Tamil Nadu Coimbatore641032 India Department of Information Technology Sethu Institute of Technology Kariapatti Puloor India Department of Computer Science and Engineering Karpagam Institute of Technology Tamil Nadu Coimbatore641032 India Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Tamil Nadu Krishnankoil626126 India Department of Information Technology Coimbatore Institute of Engineering and Technology Tamil Nadu Coimbatore641109 India School of Engineering Al-Balqa Applied University Salt Jordan

ISBN: (纸本)9789819986453

Recently, Deep Learning (DL) methods are a well-known solution for image and object detection in computer vision applications. The software-based implementation of DL algorithms requires huge resources and consumes more power. To overcome these challenges, a hardware implementation of Deep Neural Network (DNN) using the integrated analog–digital architecture was proposed in this article. The Very Large-Scale Integration (VLSI)-based DNN implementation utilizes Pulse-Width Modulation (PWM), and analog–digital circuits. The integration of analog and digital architecture integrates the benefits of both circuits, which reduces power consumption and enhances processing speed and classification accuracy. The fabrication of the VLSI chip includes the DNN neuron circuit, PWM circuit, digital adders-subtracters, and SRAM memory. The experimental result verifies that the presented DNN VLSI architecture reduces the power consumption of the neural system, and enhances the image classification performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Sclera Segmentation on the Half-UNet Neural Network

Sclera Segmentation on the Half-UNet Neural Network

引用

Digital Signal processing and its Applications (DSPA), International conference on

作者： Sergei Chernyadyev Natalya Kharina Department of the Radio Electronic Means Vyatka State University Kirov Russia

ISBN: (数字)9798331518752

ISBN: (纸本)9798331518769

Nowadays, technology for biometric authentication technologies is actively implemented, users can usually authenticate themselves by their face, voice, fingerprint, vascular bed of the finger, palm, iris. Using images of sclera vessels for authentication is mathematically and technically more complex, so it is used less often. In addition, existing sclera segmentation algorithms often do not allow ensuring the required quality of authentication systems. The paper proposes an algorithm for sclera segmentation based on the lightweight convolutional neural network Half-UNet, and compares the obtained results with known algorithms for sclera segmentation. Analysis of the obtained results shows that the developed algorithm effectively highlights the eye sclera region, surpassing known modern algorithms, and can be used in implementation of biometric authentication system as a stage of processing scanner images before the sclera vessels segmentation stage.

关键词： Performance evaluation image segmentation Neural networks Memory management Signal processing algorithms Authentication Biometric authentication Mobile handsets System implementation Iris recognition

来源：评论

学校读者我要写书评

暂无评论

Multiple Transform Selection in Versatile Video Coding: a Review 8

Multiple Transform Selection in Versatile Video Coding: a Re...

引用

8th International conference on Advanced Computing and Communication systems, ICACCS 2022

作者： Chowdary, T. Anil Nalluri, Purnachand VIT-AP University School of Electronics Engineering Inavolu Andhra Pradesh 522237 India

ISBN: (纸本)9781665408165

Tools for Transform Coding in coding of video relied on DCT-II traditionally for mapping residuals of image/video signals. Residual mapping can be done to a domain where quantizing and encoding tools give better efficiency in coding than domain of spatial. Nonetheless, DCT-II cannot model available types of residual image/video signals effectively. DCT-II modeling all types of residuals is not possible because of non-stationary behaviour of contents of video. So, to improve performance in compression of 4 X 4 blocks, DST-VII was instigated into VVC. In this paper This Paper presents survey of different algorithms for selection of optimal transform for each block (4X4, 8X8, 16X16, 32X32 and 64X64) of residual image/video for VVC. © 2022 IEEE.

关键词： Video signal processing

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 << < 94 95 96 97 98 99 100 101 102 103 > >>

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：