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

674 篇 会议
12 册 图书
5 篇 期刊文献

馆藏范围

691 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

451 篇 工学
- 322 篇 计算机科学与技术...
- 258 篇 软件工程
- 196 篇 信息与通信工程
- 138 篇 电气工程
- 84 篇 生物工程
- 72 篇 光学工程
- 64 篇 生物医学工程（可授...
- 34 篇 电子科学与技术（可...
- 24 篇 化学工程与技术
- 22 篇 控制科学与工程
- 19 篇 材料科学与工程（可...
- 17 篇 仪器科学与技术
- 13 篇 机械工程
- 12 篇 安全科学与工程
- 9 篇 动力工程及工程热...
- 8 篇 交通运输工程
- 6 篇 网络空间安全
235 篇 理学
- 110 篇 物理学
- 87 篇 生物学
- 85 篇 数学
- 22 篇 化学
- 19 篇 统计学（可授理学、...
- 9 篇 系统科学
104 篇 医学
- 102 篇 临床医学
- 23 篇 基础医学(可授医学...
- 20 篇 药学(可授医学、理...
- 6 篇 公共卫生与预防医...
72 篇 管理学
- 43 篇 图书情报与档案管...
- 31 篇 管理科学与工程(可...
6 篇 法学
6 篇 教育学
- 6 篇 教育学
5 篇 农学
2 篇 军事学

主题

98 篇 signal processin...
58 篇 image segmentati...
58 篇 image processing
54 篇 signal processin...
43 篇 conferences
41 篇 deep learning
38 篇 image enhancemen...
33 篇 image recognitio...
29 篇 feature extracti...
28 篇 training
24 篇 image edge detec...
24 篇 convolution
24 篇 visualization
24 篇 image color anal...
24 篇 image reconstruc...
22 篇 image coding
22 篇 image classifica...
20 篇 neural networks
18 篇 robustness
17 篇 object detection

机构

6 篇 school of inform...
6 篇 college of elect...
5 篇 key laboratory o...
5 篇 university of ch...
5 篇 nanyang technol ...
5 篇 school of mathem...
4 篇 shanghai jiao to...
4 篇 laboratory of be...
4 篇 school of electr...
3 篇 shanghai jiao to...
3 篇 michigan state u...
3 篇 college of mathe...
3 篇 tsinghua shenzhe...
3 篇 shanghai jiao to...
3 篇 national laborat...
2 篇 university of sc...
2 篇 school of comput...
2 篇 school of cyber ...
2 篇 school of mathem...
2 篇 huazhong univers...

作者

6 篇 wang chao
6 篇 yang chuansheng
5 篇 yang yueting
5 篇 wen bihan
5 篇 yang jian
4 篇 jian wang
4 篇 tan anhui
4 篇 anil kumar
4 篇 bo feng
4 篇 chao xu
3 篇 ravishankar saip...
3 篇 zhou jiantao
3 篇 li min
3 篇 zhai guangtao
3 篇 nguyen trong-the
3 篇 feng bo
3 篇 parthasarathy ra...
3 篇 xiaotao huang
3 篇 wang liu
3 篇 fan zhun

语言

691 篇 英文

检索条件"任意字段=2021 International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2021"

共 691 条记录，以下是541-550 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：

Efficient Cloud Detection for CX-6(02) Satellite images Based on Neural Network

Efficient Cloud Detection for CX-6(02) Satellite Images Base...

引用

IEEE international conference on signal and image processing (ICSIP)

作者： Yanan Lu Jianying Sun Jingtian Sun Zheng Tan Qunbo Lv Jianwen Cao Institution of Software Chinese Academy of Sciences Beijing China Aerospace Information Research Institute Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781665446006

Remote sensing images are widely used in many aspects, such as agriculture, meteorology, military, and navigation. Clouds often appear in remote sensing images, which will affect the quality of the image and influence the subsequent process. Cloud detection has always been a hotspot in remote sensing image processing. There are many kinds of clouds, the variety of brightness, texture, and shape of which bring a lot of inconvenience to automatic detection. In this paper, we design a cloud detection algorithm for CX-6(02) satellite images according to the characteristics of the actual remote sensing image. First, the image is divided into small image blocks by superpixel segmentation, and then the feature of the superpixel block are extracted through a neural network. Finally, a logistic classifier is applied to determine the superpixel block is cloud or non-cloud. Experiments show effectiveness of the proposed algorithm.

关键词： image segmentation Satellites Shape Navigation Neural networks Feature extraction Classification algorithms

来源：评论

学校读者我要写书评

暂无评论

Quadrotor Visual Navigation Under GPS Spoofing Attack

Quadrotor Visual Navigation Under GPS Spoofing Attack

引用

international conference on Wireless Communications, signal processing and Networking (WiSPNET)

作者： Kai Liu Yuyang Zhao Gang Wang Rui Xue School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Electronics and Information Engineering Beihang University Beijing China

This paper presents a quadrotor visual navigation system under the GPS spoofing attack. We use HACKRF to send spoofing signals to the quadrotor. The quadrotor is detected during the outer loop of the system. If the quadrotor is spoofed, the quadrotor switch to visual navigation instead of using GPS signals. In the visual navigation, the image matching technology is used to solve the actual position of the quadrotor for the positioning problem of the quadrotor. A method of information fusion based on reference map matching and motion estimation is proposed for positioning and navigation. We can extraction keypoints, get the image descriptor based on ORB algorithm and binarize them with the corresponding correct geographical coordinates as a reference map. In order to improve the search matching speed, KLT keypoint tracking algorithm is used to estimate the motion information of the quadrotor, and the rough position of auxiliary search reference map is given. Simulations and experiments show the feasibility of the proposed scheme.

关键词： Wireless communication Visualization Navigation Tracking image matching Software algorithms signal processing algorithms

来源：评论

学校读者我要写书评

暂无评论

Garbage Classification System with YOLOV5 Based on image Recognition

Garbage Classification System with YOLOV5 Based on Image Rec...

引用

IEEE international conference on signal and image processing (ICSIP)

作者： Guanhao Yang Jintao Jin Qujiang Lei Yi Wang Jiangkun Zhou Zhe Sun Xiuhao Li Weijun Wang Intelligent Robot & Equipment Center Guangzhou Institute of Advanced Technology Chinese Academy of Sciences Guangzhou China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781665446006

At present, the main technology of garbage identification and classification is the use of traditional machine vision algorithm or the use of sensors for screening and identification of garbage, in garbage sorting, the first accurate identification and classification of garbage is very necessary. By collecting various types of garbage pictures and building detection data sets, we adopt the garbage identification and detection algorithm based on YOLO-V5 and use data enhancement to improve the robustness of the model, to achieve fast and accurate identification of different types of garbage. Experimental results show that this method has high accuracy, short time consumption, and good robustness.

关键词： image recognition Machine vision Design methodology conferences Manipulators Robustness Data models

来源：评论

学校读者我要写书评

暂无评论

Human Activity Detection from Still images using Deep Learning Techniques

Human Activity Detection from Still Images using Deep Learni...

引用

Control, Automation, Power and signal processing (CAPS), 2021 international conference on Control, Automation, Power and signal processing (CAPS)

作者： Barukula Snehitha Raavi Sai Sreeya V. M. Manikandan SRM University-AP Andhra Pradesh India

ISBN: (纸本)9781665445788

Human activity detection is an active research topic now, the difficult problem of fine-grained activity detection is often ignored. This paper proposes a method to detect human activity from still images. Iterative detection of human activity in a scene is another tough and exciting area of computer vision research. In our day to day life, we have seen implementations of automated cars, speech recognition, and various machine learning models. Unlike action detection in videos that have spatio-temporal features, still images can't be considered similarly, making the problem more complex. The current work solely comprises activities that involve objects to reach a simple answer. Based on semantics, a complicated human activity is broken down into smaller components. The significance of each of these elements in action recognition is investigated in depth. This system is based on detecting an individual's action or behaviour with the help of a single frame (image). Activity detection consists of various tasks like object recognition, pose estimation, video action recognition, and image recognition. Since the current paper is focused only on actions that involve objects, a dataset with specified classes is created. images for this dataset will be chosen from different sources. This study aims at the development of computational algorithms for activity detection in still images.

关键词： image recognition Computational modeling Surveillance signal processing algorithms Speech recognition Activity recognition Tagging

来源：评论

学校读者我要写书评

暂无评论

11th international Workshop of advanced Manufacturing and Automation, IWAMA 2021

11th International Workshop of Advanced Manufacturing and Au...

引用

11th international Workshop of advanced Manufacturing and Automation, IWAMA 2021

ISBN: (纸本)9789811905711

The proceedings contain 98 papers. The special focus in this conference is on advanced Manufacturing and Automation. The topics include: signal Denoising Algorithm of Massage Chair Movement Based on iForest-EEMD;Prediction of Remaining Life of Massage Chair Movement Based on ARIMA-BP Model;real-Time Data-Driven Digital Twin Workshop Web Interactive Application;digital Twin Construction Method for Docking Mechanism Test-Bed;visualized Interaction Method of Mechanical Arm Based on Augmented Reality;research on image Acquisition Preprocessing and Data Augmentation Algorithm Based on Strip Surface Defect Detection Technology;experimental Investigation of the Effect of Ultrasonic Wave on the Saturated Hydrocarbons in Castilla Crude Oil;random Assembly Task Evaluation Based on Human-Robot Collaboration;a Review on Application of Eddy Current Separation for the Recycling of Scraped Vehicles;kanban System in Industry 4.0 Era: A Systematic Literature Review;influence of Magnetic Fluid Hydraulic Medium on Cushioning Performance of Hydraulic Cylinder;DEM-CFD Simulation for Recovering Metal Particles with Aero-Electrostatic Separator;a Bibliometric Analysis of the Logistical Challenges and Methods for Vaccine Distribution Under the Pandemic;numerical Stress Analysis and Fatigue Life Prediction of the Classical External Geneva Mechanism;tensile and Flexural Properties of Acacia Tortilis/Glass Fiber Reinforced Hybrid Composites;multi Robot Welding Path Planning Based on Improved Ant Colony Algorithm;data Acquisition and processing of Space Docking Physics Experiment Platform;Research on SDN-Based New In-vehicle Network Packet Scheduling Technology;design and Transmission Performance Analysis of a Novel Reducer with Abnormal Cycloidal Gear;noncontact Clearance Measurement Research Based on Machine Vision;Optimal Design of Truss Based on LA-GSA.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Pixel Corrected Adaptive Conductance Function based Diffusion Filter and image Denoising using Bi-dimensional Empirical Mode Decomposition

Pixel Corrected Adaptive Conductance Function based Diffusio...

引用

Control, Automation, Power and signal processing (CAPS), 2021 international conference on Control, Automation, Power and signal processing (CAPS)

作者： Himanshu Gupta Himanshu Singh Anil Kumar Amit Vishwakarma IIITDM Jabalpur Dept. of ECEJabalpurIndia NIT Tiruchirappalli Dept. of ECETiruchirappalliIndia

ISBN: (纸本)9781665445788

In this paper, a method is proposed to denoise image based on semi-adaptive conductance function in anisotropic diffusion filter and bi-dimensional empirical mode decomposition. Here, the color image is utilized in the work to split the image into red, green and blue channels. To each channel component, the local difference value method is implemented where the noise contaminated pixels of the respective channel are replaced with the processed ones in which a Gaussian filter is used for smoothing. The bi-dimensional empirical mode decomposition decomposes the channel into its constituent intrinsic mode functions and the diffusion filter is applied to them. The various function parameters define the extent of diffusion to the channel like connectivity, conductance function, number of iterations and gradient threshold. Here, the conductance function is made semi-adaptive by introducing the gradient value of the image to the threshold parameter along with a preset constant term. The processed intrinsic mode functions, obtained by applying the modified diffusion filter in the conductance function, of each channel are combined and the final image is reconstructed by merging all the three channels. The experimented results thus obtained are evaluated and compared with other existing techniques based on the performance parameters like peak signal-to-noise ratio, mean square error and, structural similarity index and concluded that the proposed method is superior and efficient in both image denoising and feature retention.

关键词： Visualization Empirical mode decomposition Anisotropic magnetoresistance Smoothing methods Noise reduction signal processing algorithms Color

来源：评论

学校读者我要写书评

暂无评论

1st international conference on Systems and Information Sciences, ICCIS 2020

1st International Conference on Systems and Information Scie...

引用

1st international conference on Systems and Information Sciences, ICCIS 2020

ISBN: (纸本)9783030591939

The proceedings contain 37 papers. The special focus in this conference is on Systems and Information Sciences. The topics include: Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II signals;Characterization of Braking and Clutching Events of a Vehicle Through OBD II signals;PESTEL Analysis as a Baseline to Support Decision-Making in the Local Textile Industry;occupational Health and Safety for Decision-Making in the Framework of Corporate Social Responsibility: Models, Guidelines, and Indicators;model of Classification of University Services Using the Polarity of Opinions Taken from Social Networks;clustering Analysis of Electricity Consumption of Municipalities in the Province of Pichincha-Ecuador Using the K-Means Algorithm;Behavioral signal processing with Machine Learning Based on FPGA;complementary Admission Processes Implemented by Ecuadorian Public Universities Promote Equal Opportunities in Access: An Analysis Through Knowledge Discovery in Databases;LOLY 1.0: A Proposed Human-Robot-Game Platform Architecture for the Engagement of Children with Autism in the Learning Process;aphids Detection on Lemons Leaf image Using Convolutional Neural Networks;alternative Psychological Treatment for Patients with a Diagnosis of Entomophobia with Virtual Reality Environments;designing a Lighting System for Smart Homes;green Energy for the Reception and processing of Satellite and Microwave signals;Network Design Defined by Software on a Hyper-converged Infrastructure. Case Study: Northern Technical University FICA Data Center;Study of the Fronthaul WDM Applied to the Cloud RAN of 5G-CRAN;Evaluation of the Broadcast Storm Problem Based on Hybrid Retransmissions algorithms in FANET Networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Deep Convolutional Neural Network with ResNet-50 Learning algorithm for Copy-Move Forgery Detection

Deep Convolutional Neural Network with ResNet-50 Learning al...

引用

international conference on signal processing and Communication (ICSC)

作者： Vaishali Sharma Neetu Singh Jaypee Institute of Information and Technology Noida India

ISBN: (纸本)9781665427401

One of the most well-known kind of image forgery is copy-move forgery (CMF). In CMF, one segment of an image is copied and pasted into another segment of an identical image in order to hide crucial data or include new data in the image. For that reason, falsification revealing methods are necessary to recognize altered territories. A new, quick, and capable copy-move forgery detection (CMFD) method is constructed and tested in this study. To classify CMF in a rapid and reliable manner, the proposed method utilizes a Deep Convolutional Neural Network (DCNN) that integrates Residual network framework with 50 layers (ResNet-50). The residual network uses the concept of skip connection which adds the original input to the output of the convolutional layer and will remove the problem of vanishing and exploding gradient that occurs in the traditional Convolutional Neural Network (CNN) model. The accuracy and logarithmic loss (LogLoss), which is a function of cross-entropy, have been employed to assess the performance and efficiency of the algorithm. The results are evaluated on the CoMoFoD dataset after dividing it into training and test set. According to the results, the proposed algorithm achieved better accuracy and reduced the LogLoss function at 100 epochs.

关键词： Training Deep learning image segmentation Convolution signal processing algorithms Authentication Forgery

来源：评论

学校读者我要写书评

暂无评论

Fast Low-light image Enhancement Algorithm Based on Fusion

Fast Low-light Image Enhancement Algorithm Based on Fusion

引用

IEEE international conference on signal and image processing (ICSIP)

作者： Junjie Guo Zhengping Li Chao Xu Bo Feng School of Electronics and Information Engineering AnHui University AnHui Engineering Laboratory of Agro-Ecological Big Data HeFei China

ISBN: (纸本)9781665446006

Low-light images generally exist in various situations, and the existing low-light image enhancement algorithms are poor in generality and have high computational complexity, and the comfort of the enhanced image is not satisfactory. This paper proposes a fast low-light image enhancement algorithm based on fusion. First, transform the passing space to HSV space to extract the V component. Then, according to the influence of Weber-Fechner's law on human visual senses, and effectively combining the characteristics of low-light images, a global adaptive brightness transformation function is constructed, and this function generates the first enhanced image. Then use CLAHE to increase the local contrast and generate a second enhanced image. Finally, an image fusion strategy is adopted to extract image details to fuse the image effectively. The proposed algorithm is fast and straightforward, can effectively improve the quality of low-light images, and better preserve its naturalness. Experimental results show that the proposed algorithm has achieved good results both subjectively and objectively.

关键词： Deep learning Visualization Histograms Fuses conferences Brightness Transforms

来源：评论

学校读者我要写书评

暂无评论

Pose Measurement Method of Non-cooperative Targets Based on Semantic Segmentation

Pose Measurement Method of Non-cooperative Targets Based on ...

引用

6th international conference on Intelligent Computing and signal processing (ICSP)

作者： Hang Du Haidong Hu Xinru Xie Yingzi He National Key Laboratory of Science and Technology on Space Intelligent Control Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9781665447300

In the process of short-range non-cooperative target capture, the camera can only obtain a part of satellite image due to the angle of view, and it is difficult to identify the structural components and determine the capture point. This paper proposes a non-cooperative measurement method based on semantic segmentation algorithm using ToF camera. Firstly, a registration algorithm matching RGB image with depth map is designed. An improved BiseNet network is established by means of transfer learning method, and the semantic segmentation model of satellite structure components is completed. Then, the semantic matching results are combined with the point-cloud data to fit the docking ring attitude angle and to select the appropriate capturing point. Finally, physical experiment is completed and the experiment result shows the method providing a feasible intelligent engineering scheme.

关键词： image segmentation Satellites Three-dimensional displays Semantics Transfer learning signal processing algorithms Cameras

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70页 << < 51 52 53 54 55 56 57 58 59 60 > >>

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：