检索结果-内蒙古大学图书馆

Chinese control Conference (CCC)

作者： Yanling Zhou Xuebo Zhang Runhua Wang Shiyong Zhang Mingxing Yuan Jing Yuan Institute of Robotics and Automatic Information System College of Artificial Intelligence Nankai University Tianjin P. R. China Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin P. R. China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education

Three-dimensional(3D) environmental reconstruction of the manipulator workspace is a prerequisite to enable autonomous collision-free path planning and subsequent task execution, wherein the positioning accuracy of the equipped sensor is one key issue to determine the performance of 3D reconstruction. In this paper, an eye-in-hand RGB-D camera is used to complete the manipulator workspace scanning and a novel high-accuracy pose estimation method for 3D reconstruction is proposed, which not only considers the geometric and photometric constraints constructed from the visual information used in traditional methods, but also considers the manipulator motion constraints since the positioning accuracy of the manipulator is usually high. Based on above three constraints, three error functions are constructed respectively and fused with different weights to form an integrated objective function. Then, the problem is converted into solving the least squares problem by the Gaussian Newton nonlinear iterative method, which involves the computation of Jacobian matrices and residuals of the three error functions. To this end, the mathematical derivation of their formulas considering the manipulator motion constraints are given in detail. By qualitative and quantitative experimental comparison with traditional methods, the proposed method can greatly improve the accuracy of pose estimation and 3D reconstruction, which always maintains the error within 3 cm, and show good robustness even in the challenging environments with weak texture or geometric features. (Supplemented video link: https://***/FkFTxssnWms)

关键词：

来源：评论

学校读者我要写书评

暂无评论

1.8 V CMOS bandgap voltage reference with high power supply rejection ratio

引用

Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology 2007年第10期33卷 1052-1055页

作者： Fang, Sui-Ming Wang, Zhan-Cang Gao, Feng Beijing Embedded System Key Laboratory College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China

A bandgap voltage reference has been proposed. We have provided improvements on speed, noise, temperature operating range issues compared with traditional bandgap reference design. Validity and accuracy of this scheme are verified by TSMC process-design-kit-based simulations. Simulation results proved that this circuit can work at 1.5-1.8 V supply with power consumption less than 0.5 mW, output reference voltage is 1.25 V, temperature coefficient is less than 1.8 × 10-5°C and PSRR is -110 dB at DC. This circuit can be widely applied to portable electronic design.

关键词： CMOS integrated circuits

来源：评论

学校读者我要写书评

暂无评论

Size-invariance matters: rethinking metrics and losses for imbalanced multi-object salient object detection 24

Size-invariance matters: rethinking metrics and losses for i...

引用

Proceedings of the 41st International Conference on Machine Learning

作者： Feiran Li Qianqian Xu Shilong Bao Zhiyong Yang Runmin Cong Xiaochun Cao Qingming Huang Institute of Information Engineering Chinese Academy of Sciences Beijing China and School of Cyber Security University of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Institute of Information Science Beijing Jiaotong University Beijing China and School of Control Science and Engineering Shandong University Jinan China and Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan China School of Cyber Science and Tech. Shenzhen Campus Sun Yat-sen University School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China and Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China and Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China

This paper explores the size-invariance of evaluation metrics in Salient Object Detection (SOD), especially when multiple targets of diverse sizes co-exist in the same image. We observe that current metrics are size-sensitive, where larger objects are focused, and smaller ones tend to be ignored. We argue that the evaluation should be size-invariant because bias based on size is unjustified without additional semantic information. In pursuit of this, we propose a generic approach that evaluates each salient object separately and then combines the results, effectively alleviating the imbalance. We further develop an optimization framework tailored to this goal, achieving considerable improvements in detecting objects of different sizes. Theoretically, we provide evidence supporting the validity of our new metrics and present the generalization analysis of SOD. Extensive experiments demonstrate the effectiveness of our method. The code is available at https://***/Ferry-Li/SI-SOD.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Dynamic analysis of high-dimensional fractional-order gene regulation networks with time delay

Dynamic analysis of high-dimensional fractional-order gene r...

引用

Chinese control Conference (CCC)

作者： Zhe Zhang Can Ding Jing Zhang Feng Liu Yingjie Zhang Fanyong Cheng College of Electrical and Information Engineering Hunan University Changsha China School of Automation China University of Geosciences Wuhan China College of Computer Science and Electronic Engineering Hunan University Changsha China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fujian China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

This paper mainly analyzes the stability of high-dimensional fractional-order gene regulatory network systems with time delay. Based on the judgment of eigenvalues, this paper proposes sufficient information about the stability of high-dimensional fractional-order gene regulatory network systems with time delay. Conditions, and by analyzing the characteristic equations, the bifurcation conditions of the high-dimensional fractional-order gene regulatory network system with time delay are derived. Finally, the theoretical part of this paper is verified by numerical simulation.

关键词： Bifurcation Timing Stability analysis Mathematical model Delay effects Numerical stability Electronic mail

来源：评论

学校读者我要写书评

暂无评论

Object rough localization of tongue images via clustering and gray projection

Object rough localization of tongue images via clustering an...

引用

2016年土木、建筑与环境工程国际学术会议

作者： Weixia Liu Zuchang Zhang Yeyu Lin Danying Shen Zuoyong Li Straits Institute Minjiang University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control(Minjiang University)

ISBN: (纸本)9781138065840

Tongue diagnosis is one of the most important diagnosis methods in Traditional Chinese Medicine(TCM).Tongue image segmentation is a crucial step in developing automatic tongue diagnosis *** localization of tongue body is a useful preprocessing step in tongue image segmentation,which can eliminate the adverse effect of strong edges from neighboring tissues such as face and lip when extracting tongue body *** exploring the existing tongue rough localization method based on gray projection,we propose a modified method combining clustering with gray projecting in this *** proposed method first conducts clustering on image pixels' hue components in HSI(Hue,Saturation and Intensity) space to seek multiple ***,image thresholding and morphological operations are conducted to generate a binary image,and the largest object region is taken as the initial localization ***,the localization result is refined by gray projection on pixels' red *** results on a variety of tongue images show that the proposed method significantly improves the accuracy of tongue rough localization in comparison with the existing gray projection method.

关键词： image Object rough localization of tongue images via clustering and gray projection

来源：评论

学校读者我要写书评

暂无评论

TTC4MCP: Monocular Collision Prediction Based on Self-Supervised TTC Estimation

TTC4MCP: Monocular Collision Prediction Based on Self-Superv...

引用

IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Changlin Li Yeqiang Qian Cong Sun Weihao Yan Chunxiang Wang Ming Yang Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Global Institute of Future Technology Shanghai Jiao Tong University Shanghai China University of Michigan-Shanghai Jiao Tong University Joint Institute ShanghaiJiao Tong University Shanghai China

Vision-based collision prediction for autonomous driving is a challenging task due to the dynamic movement of vehicles and diverse types of obstacles. Most existing methods rely on object detection algorithms, which only predict predefined collision targets, such as vehicles and pedestrians, and cannot anticipate emergencies caused by unknown obstacles. To address this limitation, we propose a novel approach using pixel-wise time-to-collision (TTC) estimation for monocular collision prediction (TTC4MCP). Our approach predicts TTC and optical flow from monocular images and identifies potential collision areas using feature clustering and motion analysis. To overcome the challenge of training TTC estimation models without ground truth data in new scenes, we propose a self-supervised TTC training method, enabling collision prediction in a wider range of scenarios. TTC4MCP is evaluated on multiple road conditions and demonstrates promising results in terms of accuracy and robustness.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research on consensus control for a class of high-order multi-agent systems

Research on consensus control for a class of high-order mult...

引用

作者： Zhang, Wenguang Guo, Zhenkai Beijing Key Laboratory of Measurement and Control New Technology and System for Industrial Process School of Control and Computer Engineering North China Electric Power University Beijing 102206 China School of Mathematics and Information Ludong University Yantai 264205 China

ISBN: (纸本)9789881725592

This paper researches the consensus problem of high-order multi-agent systems. A new dynamic neighbor-based protocol is proposed which contains two parts, one is the local feedback and the other is the distributed feedback of the first states of each agent. Sufficient conditions are derived for state consensus of the system. Finally, simulation results are shown the effectiveness of the obtained results. © 2011 Chinese Assoc of Automati.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

Image Matching Algorithm Under Adverse Conditions Based on SIFT

Image Matching Algorithm Under Adverse Conditions Based on S...

引用

IEEE International Symposium on information (IT) in Medicine and Education, ITME

作者： Hao Chen Xinrong Cao Zuoyong Li Lihui Lin College of Computer and Big Data Fuzhou University Fuzhou China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control School of Computer and Big Data Minjiang University Fuzhou China Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry School of Mathematics and Computer Science Wuyi University Fujian China

ISBN: (数字)9798350356670

ISBN: (纸本)9798350356687

Image matching technology is crucial in computer vision applications. However, the traditional SIFT (Scale-Invariant Feature Transform) algorithm often faces challenges under adverse conditions, such as a high number of mismatched points and few accurately matched points. Additionally, in practical scenarios, environmental factors like lighting changes and image blurring further reduce image similarity. Therefore, this paper proposes an improved SIFT-based image matching algorithm to address these challenges. First, SIFT is used to extract image features, and a bidirectional FLANN (Fast Library for Approximate Nearest Neighbors) matching strategy is employed to initially filter out incorrect features. Then, the RANSAC (Random Sample Consensus) algorithm is used to screen out unreliable matching point pairs. Finally, the matching accuracy is evaluated based on the remaining pure matching point pairs. Experimental results demonstrate that, compared to the traditional SIFT algorithm, this improved algorithm achieves higher matching accuracy and robustness under adverse conditions, exhibiting superior performance.

关键词： Location awareness Matched filters Accuracy Image matching Lighting Transforms Feature extraction Robustness Libraries information technology

来源：评论

学校读者我要写书评

暂无评论

A Real-time Framework of Multi-Camera Vehicle Tracking system

A Real-time Framework of Multi-Camera Vehicle Tracking Syste...

引用

2024 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2024

作者： Zhuang, Hanyang Chen, Xingyuan Lan, Jianglin Wang, Ying Lu, Zhaoxuan Wang, Chunxiang Yang, Ming University of Michigan Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai200240 China University of Glasgow James Watt School of Engineering GlasgowG12 8QQ United Kingdom Shanghai Jiao Tong University School of Mechanical Engineering Shanghai200040 China Shanghai Intelligent and Connected Vehicle R and D Center Co. LTD Shanghai201400 China Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9798350372601

Multi-camera vehicle tracking (MCVT) system is a key technology to build an intelligent city and intelligent transportation system. The MCVT system utilizes roadside monitoring devices and computing platforms to achieve city-level road traffic perception at a finer scale by tracking each vehicle on the road to obtain the trajectory. The existing MCVT system mainly focuses on dealing with the algorithm modules separately, without studying the real-time performance and system architecture of the entire pipeline. However, in real-world applications, many of the tricks in improving evaluation metrics are not applicable since there is endless traffic flow running all the time. Therefore, this paper proposes a real-time framework of the MCVT system to streamline all the algorithm modules with proper data flow. Firstly, a multi-threaded multi-vehicle tracking (MVT) module is developed to detect vehicles in each camera. Re-identification is implemented during MVT to provide the feature for tracking in the same camera and across different cameras. Then, after the vehicle leaves the camera field of view, the feature of vehicle trajectory is calculated by averaging the feature at each frame. Meanwhile, a background thread runs continuously to match the incoming feature of vehicle trajectory with past features by conducting a topology searching method. In the end, the vehicle trajectories with well-matched features are considered to be the same vehicle. The entire pipeline has been validated on two different datasets, the precision is 0.64 in the CityFlow dataset which uses 6 cameras simultaneously. In the customized dataset, the same method can still reach real-time when using 16 cameras at the same time with smaller network modules. © 2024 IEEE.

关键词： Vehicle locating systems

来源：评论

学校读者我要写书评

暂无评论

Enhanced Industrial Process Modeling with Transfer-Incremental-Learning: A Parallel Sae Approach and its Application to a Sulfur Recovery Unit

SSRN

引用

SSRN 2023年

作者： Mou, Tianhao Liu, Jinfeng Zou, Yuanyuan Li, Shaoyuan Xibilia, Maria Gabriella Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G 1H9 Canada Department of Engineering University of Messina Messina98166 Italy

In industrial processes, quality variable prediction is important for process control and monitoring. The emergence of deep learning (DL) methods and their excellent prediction performance present a potential paradigm revolution in the modeling of quality variable prediction. However, in real-world production, the lack of offline labeled data and the presence of time-varying data distributions commonly exist, which seriously prohibits practical applications of DL-based predictive models. This paper introduces an enhanced quality variable prediction framework, Transfer-Incremental-Learning Parallel Stacked Autoencoders (TIL-PSAE), to address this issue. TIL-PSAE establishes an effective predictive model through an integration of three key components: a parallel model structure, a transfer- learning (TL)-based offline training strategy that accumulates knowledge from other similar processes, and an incremental-learning (IL)-based online adaptation strategy that preserves offline knowledge. The model structure contains two parallel SAEs, which separately extract process-invariant features and target-process-specific features. The offline training involves sequential training using data from different domains, facilitating the accumulation of knowledge from different domains into different parts of model. During online adaptation, the accumulated knowledge remains unchanged while a new combination is learned, thus improving online prediction accuracy and avoiding knowledge forgetting. The proposed model is applied to a sulfur recovery unit of four parallel sub-units. Experimental results demonstrate the effectiveness of the proposed model, in terms of both offline prediction performance and online prediction performance. © 2023, The Authors. All rights reserved.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：