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

15,969 篇 会议
373 篇 期刊文献
193 册 图书

馆藏范围

16,535 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

8,382 篇 工学
- 5,460 篇 计算机科学与技术...
- 3,009 篇 软件工程
- 2,171 篇 电气工程
- 1,880 篇 信息与通信工程
- 1,137 篇 控制科学与工程
- 897 篇 光学工程
- 650 篇 机械工程
- 643 篇 电子科学与技术（可...
- 542 篇 仪器科学与技术
- 540 篇 生物医学工程（可授...
- 475 篇 生物工程
- 229 篇 测绘科学与技术
- 221 篇 交通运输工程
- 204 篇 航空宇航科学与技...
- 203 篇 材料科学与工程（可...
- 164 篇 化学工程与技术
- 160 篇 网络空间安全
- 140 篇 安全科学与工程
- 138 篇 土木工程
4,043 篇 理学
- 2,416 篇 物理学
- 1,373 篇 数学
- 527 篇 生物学
- 369 篇 统计学（可授理学、...
- 340 篇 系统科学
- 210 篇 化学
1,525 篇 医学
- 1,352 篇 临床医学
- 204 篇 特种医学
- 196 篇 基础医学(可授医学...
1,056 篇 管理学
- 614 篇 管理科学与工程(可...
- 482 篇 图书情报与档案管...
83 篇 法学
68 篇 农学
44 篇 经济学
44 篇 教育学
37 篇 军事学
32 篇 文学
25 篇 艺术学
1 篇 哲学

主题

2,803 篇 image processing
1,563 篇 image segmentati...
1,513 篇 signal processin...
877 篇 feature extracti...
658 篇 image edge detec...
636 篇 cameras
632 篇 real-time system...
631 篇 signal processin...
582 篇 image reconstruc...
519 篇 image coding
498 篇 algorithm design...
411 篇 deep learning
400 篇 image color anal...
399 篇 clustering algor...
386 篇 object detection
374 篇 image enhancemen...
373 篇 accuracy
337 篇 hardware
327 篇 image analysis
317 篇 computer vision

机构

40 篇 xi'an jiaotong u...
32 篇 xi an jiao tong ...
32 篇 northwestern pol...
29 篇 school of electr...
27 篇 school of electr...
26 篇 university of ch...
24 篇 xi an jiao tong ...
22 篇 xi an jiao tong ...
22 篇 national laborat...
21 篇 signal and image...
19 篇 samara national ...
18 篇 xidian universit...
17 篇 school of inform...
16 篇 institute of art...
15 篇 tsinghua univers...
15 篇 chang'an univers...
15 篇 department of el...
15 篇 school of automa...
15 篇 national key lab...
14 篇 school of electr...

作者

39 篇 chen xi
29 篇 xi chen
24 篇 nanning zheng
24 篇 licheng jiao
20 篇 li xi
20 篇 liu ying
17 篇 anon
17 篇 xuelong li
14 篇 xi ning
14 篇 wei li
14 篇 yuan yuan
13 篇 de-shuang huang
13 篇 yanning zhang
13 篇 xi li
12 篇 jie yang
12 篇 yang xi
11 篇 p. pirsch
11 篇 liu yang
11 篇 mingyi he
11 篇 ying liu

语言

15,467 篇 英文
925 篇 其他
156 篇 中文
19 篇 土耳其文
3 篇 葡萄牙文
2 篇 法文
2 篇 俄文
1 篇 西班牙文

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

共 16535 条记录，以下是1421-1430 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：

Designing Resilient Autonomous systems with the Reflex Pattern

Designing Resilient Autonomous Systems with the Reflex Patte...

引用

Design, Automation and Test in Europe conference and Exhibition

作者： Julian Demicoli Sebastian Steinhorst Department of Computer Engineering Technical University of Munich Germany

ISBN: (数字)9783982674100

ISBN: (纸本)9798331534646

Autonomous systems face significant challenges due to fluctuating resources and unstable environments, where traditional redundancy strategies for resilience can be inefficient. We present the Reflex pattern, inspired by biological reflexes, promoting system resilience by dynamically adapting to changing resource conditions. By switching between complex and resource-efficient algorithms based on availability, the pattern optimizes efficient resource utilization without extensive redundancy, ensuring essential functionalities remain operational under constraints. To facilitate adoption, we introduce ReflexLang, a domain-specific language (DSL) enabling automated code generation for reflex-pattern-based systems. We validate the pattern's effectiveness in a drone image processing scenario, demonstrating its potential to enhance operational integrity and resilience.

关键词： Autonomous systems Software architecture image processing Heuristic algorithms Redundancy Europe Switches Resource management Faces Resilience

来源：评论

学校读者我要写书评

暂无评论

Research on the Construction of image processing Model Based on Computer Vision Algorithm

Research on the Construction of Image Processing Model Based...

引用

Control, Electronics and Computer Technology (ICCECT), IEEE International conference on

作者： Wang Yi Economic Law School of Law Shandong University of Technology Zibo Shandong China

ISBN: (数字)9798350380958

ISBN: (纸本)9798350380965

This research focuses on constructing an efficient image processing model, which is rooted in computer vision algorithms, to ameliorate image distortion and optimize visual display systems. The article initially discusses the significance of image distortion correction and its processing flow, encompassing detailed steps ranging from image preprocessing, model construction, parameter estimation, to pixel coordinate transformation. Furthermore, the design approach of computer vision display systems is explored, covering the theory of light field reconstruction, software and hardware design essentials, ensuring high fidelity in image presentation. Through multiple experiments conducted on datasets of distorted images, the effectiveness of the model in correcting distortion and enhancing image quality is empirically demonstrated, with the experimental results strongly supporting the feasibility and superiority of the model. This research holds positive implications for advancements and practical applications in the field of image processing.

关键词： Computer vision Visualization Computational modeling image processing Display systems Distortion Solids

来源：评论

学校读者我要写书评

暂无评论

Video Smoke Detection Algorithm Based on a Spatial-Temporal Neural Network Model

Video Smoke Detection Algorithm Based on a Spatial-Temporal ...

引用

6th International conference on Intelligent Computing and Signal processing (ICSP)

作者： Zhen Cao xi Zhang Ministry of Emergency Management Shenyang Fire Science and Technology Research Institute Shengyang China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

a kind of spatial-temporal neural network video smoke detection algorithm is proposed in order to solve the problems associated with the incorrect classification of the static approximate smoke background in the face of the detection of smoke in video detection networks, and the problem of false alarms and of the original test model algorithms being different in different detection environments. Based on the original YOLO v4 neural network algorithm, this paper introduces a k-means + + algorithm and genetic algorithm, while using the algorithm's clustering function to classify the sample points of the real boxes of the image data set, which make it a more suitable anchor. At the same time, the genetic algorithm is used to adjust its anchor in order to allow the generated anchor to adapt to the needs related to smoke detection. In the original neural network model, the dual-stream network model algorithm is used to extract information from the first step of the YOLO algorithm in order to further filter the smoke's characteristics as well as filter out error information, all to improve the detection capabilities of the overall neural network for video smoke fog images. Compared with traditional YOLOv4 networks, the algorithm obtained by the model algorithm has been improved by 8.51°/0. In actual tests, the alarm time requirements of the smoke alarm test program for early fire monitoring and the alarm systems for visual images were improved, and the detection accuracy of the network was also improved based on the assurance of the detection speed, while the performance of the model algorithm was also improved for different scenes.

关键词： YOLO image recognition Neural networks Clustering algorithms Lighting Filtering algorithms Approximation algorithms Information filters Classification algorithms Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

A Centroiding algorithm for high precision cross strip anode readout of Photon Imaging Detector

A Centroiding algorithm for high precision cross strip anode...

引用

2024 conference on Spectral Technology and Applications, CSTA 2024

作者： Zuo, xiaoyun Zheng, Jinkun Duan, Jinyao Xu, Linmeng Tuo, Hongli Yang, Yang Bai, Yonglin Chinese Academy of Sciences Xi'an710119 China Beijing100049 China

ISBN: (纸本)9781510683082

The cross strip (XS) anode detector is a photon counting imaging detector with high spatial resolution and good position resolution. This kind of detector is widely used in material science, medical imaging and environmental monitoring, especially in detecting weak photon signals. However, in order to fully tap the potential of the XS anode detector, advanced algorithms are needed to optimize the processing of image data. Centroiding algorithm, as one of the key factors affecting the imaging of detector, plays a vital role in improving the performance of detector. The traditional centroiding algorithm mainly relies on the peak value of charge distribution to locate the centroid, but it is easily disturbed by noise. In order to weaken the negative effect of noise, this paper designs a centroiding algorithm based on convolution, which selects data by setting threshold value and calculates the average value of all data larger than threshold value. In addition, considering that the input signal may introduce noise, the filtering operation is specially introduced. The experimental results demonstrate the superiority of the proposed method in calculating the centroid position. Compared with the traditional algorithm, the mean value interpolation convolution algorithm proposed in this paper improves the precision of solving the centroid coordinates and has good robustness. Specifically, the error range of the algorithm is obviously smaller than that of the traditional algorithm, and its error range is no more than 5%. This means that higher spatial resolution and faster counting rates can be expected without sacrificing too much accuracy. © 2024 SPIE.

关键词： Photons

来源：评论

学校读者我要写书评

暂无评论

Rendering Extreme Weather Phenomena Using Generative AI Base on ControlNet 8

Rendering Extreme Weather Phenomena Using Generative AI Base...

引用

8th IEEE International conference on Vision, image and Signal processing, ICVISP 2024

作者： He, Chenchen Yuan, xia Zheng, Yi Wu, xi Hu, Jing Wang, Ting School of Computer Science Chengdu University of Information Technology Chengdu China

ISBN: (纸本)9798331541460

Generative artificial intelligence (AI) has rapidly advanced in recent years, achieving significant breakthroughs in computer vision and image processing. However, there are still many challenges in rendering complex scenes, particularly generating and controlling images for extreme weather conditions. In this work, we propose a novel generative model based on ControlNet and achieve precise control and high-quality rendering of extreme weather features by combining a sparsely connected Squeeze-and-Excitation module with a zero-convolution design. The proposed model excels in generating highly realistic extreme weather scenes, including heavy rain and snow, while significantly enhancing the ability to fine-tune weather characteristic parameters. Experimental results validate the model's exceptional generation quality and robust control stability, which not only realistically reproduces complex weather scenes but also allows flexible adjustments to weather characteristics such as rainfall intensity, snowflake density, and flame range. Compared to previous methods, the model demonstrates substantial improvements in image detail fidelity, weather feature consistency and generation efficiency. This technology shows immense potential for applications in disaster simulation and early warning systems. © 2024 IEEE.

关键词： Photointerpretation

来源：评论

学校读者我要写书评

暂无评论

Precise Detection of the Droplet Size for Droplet Microfluidics 9

Precise Detection of the Droplet Size for Droplet Microfluid...

引用

9th International conference on Fluid Power and Mechatronics, FPM 2023

作者： Zeng, Wen Wang, Bohang Wang, Yingnan Qian, Airong Olegovich, Lomakin Vladimir School of Mechanical Engineering Northwestern Poly technical University Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace 127 West Youyi Road Shaanxi Xi'an710072 China Research Center for Special Medicine and Health Systems Engineering School of Life Sciences Northwestern Poly technical University 127 West Youyi Road Shaanxi Xi'an710072 China Bauman Moscow State Technical University Department of Hydraulics Hydro Machines and Hydro Pneumatics 2nd Baumanskaya street 5 Moscow Russia

ISBN: (纸本)9798350304947

The electrical-detection method for precise detection of the droplet size is demonstrated in this paper. For the T -junction microdroplet generator, three pairs of the microelectrodes are allocated along the microchannel, and during the passing-by process of each droplet, both the length and the velocity of the droplets can be obtained by measuring the time-varying capacitance between each pair of the microelectrodes. Particularly, the mathematical model of the droplet microfluidic electrical-detection device is validated experimentally over a wide range of the droplet velocity, the droplet size and the microchannel geometries. By comparing the droplet size measured by the electrical-detection method with that by the method of image processing, the detection precision of the droplet size is verified experimentally. Most importantly, by calculating the root-mean-square value of the droplet lengths tested by three pairs of the microelectrodes, the detection precision of the droplet size can be increased drastically. © 2023 IEEE.

关键词： Microelectrodes

来源：评论

学校读者我要写书评

暂无评论

Threshold Shrinkage and Adam Alternating Optimization for Measurement Matrix

Threshold Shrinkage and Adam Alternating Optimization for Me...

引用

Natural Language processing (ICNLP), International conference on

作者： Jianlong Zhao Bangjia Hu Jun Dong Haoyu Wang School of Electronic Engineering Xi'an University of Posts and Telecommunications Xi'an China Luster Lighttech Group Co. Ltd Xi'an China

ISBN: (数字)9798350349115

ISBN: (纸本)9798350349122

Compressive sensing theory allows for image reconstruction from significantly fewer observations than the signal length, provided the image exhibits sparsity and incoherence. However, there is an ongoing challenge concerning the subpar reconstruction quality caused by certain random measurement matrices. To address this issue, we propose a novel algorithm that combines threshold shrinkage and alternating optimization of the measurement matrix using the Adam optimizer. In this algorithm, we employ an equiangular tight frame (ETF) for threshold shrinkage of the Gram matrix and further enhance the measurement matrix using the Adam optimizer. Finally, we reduce the coherence between the measurement matrix and sparse transform through Schmidt orthogonalization and normalization. Experimental results demonstrate a significant reduction in the coherence between the observation matrix and the sparse transform using our algorithm. Under various sampling rates, we observe a notable improvement in image reconstruction quality. For instance, at a sampling rate of 0.2, compared to the traditional OMP algorithm, our algorithm yields an approximately 2.7dB increase in PSNR, a 0.05 increase in SSIM, and a decrease of approximately 0.04 in coherence.

关键词： Coherence Transforms Approximation algorithms Time measurement Signal reconstruction Sensors Sparse matrices Optimization image reconstruction Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

15th EAI International conference on Simulation Tools and Techniques, SIMUTools 2023

15th EAI International Conference on Simulation Tools and Te...

引用

15th EAI International conference on Simulation Tools and Techniques, SIMUTools 2023

ISBN: (纸本)9783031575228

The proceedings contain 23 papers. The special focus in this conference is on Simulation Tools and Techniques. The topics include: KNXsim: Simulator Tool for KNX Home Automation Training by Means of Group Addresses;Development of a 3D Visualization Interface for Virtualized UAVs;test-Driven Simulation of Robots Controlled by Enzymatic Numerical P systems Models;PySPN: An Extendable Python Library for Modeling & Simulation of Stochastic Petri Nets;replacing Sugarscape: A Comprehensive, Expansive, and Transparent Reimplementation;Generative AI with Modeling and Simulation of Activity and Flow-Based Diagrams;wildfire Risk Mapping Based on Multi-source Data and Machine Learning;an Intelligent Ranking Evaluation Method of Simulation Models Based on Graph Neural Network;simulation of Drinking Water Infrastructures Through Artificial Intelligence-Based Modelling for Sustainability Improvement;spatio-Temporal Speed Metrics for Traffic State Estimation on Complex Urban Roads;integrating Efficient Routes with Station Monitoring for Electric Vehicles in Urban Environments: Simulation and Analysis;comparing the Efficiency of Traffic Simulations Using Cellular Automata;multi-agent Simulation for Scheduling and Path Planning of Autonomous Intelligent Vehicles;ECG Pre-processing and Feature Extraction Tool for Intelligent Simulation systems;OTOVIRT: An image-Guided Workflow for Individualized Surgical Planning and Multiphysics Simulation in Cochlear Implant Patients;Adaptive Sharing of IoT Resources Through SDN-Based Microsegmentation of Services Using Mininet;UAV-Assisted Wireless Communications: An Experimental Analysis of A2G and G2A Channels;trajectory-Aware Rate Adaptation for Flying Networks;rate Adaptation Aware Positioning for Flying Gateways Using Reinforcement Learning;RateRL: A Framework for Developing RL-Based Rate Adaptation algorithms in ns-3;on the Analysis of Computational Delays in Reinforcement Learning-Based Rate Adaptation algorithms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

High precision positioning method via robot-driven three-dimensional measurement 2

High precision positioning method via robot-driven three-dim...

引用

2nd International conference on Advanced algorithms and Signal image processing, AASIP 2022

作者： Luo, Hua Zhang, Ke Shang, Junyun Cao, Meng Li, Ruifeng Yang, Na Cheng, Jun School of Astronautics Northwestern Polytechnical University Xi'an710072 China Xi'an Aerospace Times Precision Mechatronics Company Limited Xi'an710100 China

ISBN: (纸本)9781510660571

In the process of intelligent manufacturing, all kinds of complex workpieces in aerospace, automobile and other fields need to be measured and identified with high precision, so that industrial robots can sort or assemble the workpieces. The structure of the workpieces is complex, the surface texture is weak, and they are scattered and stacked on the automatic production line, so there are some problems such as low accuracy of three-dimensional (3D) measurement and positioning and low efficiency. To solve these problems, a high precision positioning method based on robot-driven 3D measurement is proposed. Firstly, the 3D point cloud data of the complex workpieces is obtained from the structured-light 3D measurement device, and then the point cloud data is processed by the sampling consistent initial registration algorithm (SAC-IA) and the iterative nearest point algorithm (ICP). Through the rough estimation and accurate solution of the position and attitude of the workpiece, the 3D attitude of the workpieces in the coordinate system of the structured-light 3D measurement device is obtained. Finally, the spatial pose solution algorithm is used to calculate the 3D attitude of the workpieces in the robot coordinate system, and guide the robot to grasp automatically. The experiments show that the grasping position error is 0.34mm, and the grasping angle error is 0.36°. It can accurately measure and identify the point cloud target, calculate the 3D attitude of the complex workpieces, and accurately guide the robot to grab the workpiece automatically, which can be popularized and applied in the industry. © 2022 SPIE.

关键词： Industrial robots

来源：评论

学校读者我要写书评

暂无评论

Precision Fruit Harvesting: Stem Detection and Cutting Techniques using image processing for Robotic systems

Precision Fruit Harvesting: Stem Detection and Cutting Techn...

引用

Mobile Computing and Sustainable Informatics (ICMCSI), International conference on

作者： Madhura Rajesh Shankarpure Dipti D. Patil STE's Smt Kashibai Navale College of Engineering Savitribai Phule Pune University Pune Maharashtra India MKSSS's Cummins College of Engineering for Women Savitribai Phule Pune University Pune Maharashtra India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522674

To enhance robotic fruit harvesting systems, the proposed methodology uses image processing techniques to recognize orange stems. The method highlights only the stem of an orange fruit in an image by utilizing gray-scale conversion, contour-based filtering, Gaussian blur, and Canny edge recognition. The technique can be incorporated into agricultural robots to improve fruit harvesting accuracy. After detecting the fruit stem, it is crucial to ensure precise cutting of the fruit to prevent damage to both the fruit and the tree. The paper also assesses the performance of the method in terms of robustness in complicated situations and detection accuracy, demonstrating its potential for real-world agricultural applications.

关键词： Accuracy Machine learning algorithms Filtering image edge detection Heuristic algorithms Machine learning Gray-scale Robustness Informatics Mobile computing

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 << < 139 140 141 142 143 144 145 146 147 148 > >>

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：