检索结果-内蒙古大学图书馆

International Conference on Intelligent control and Information Processing (ICICIP)

作者： Weiping Zhang Peifeng Niu Guoqiang Li Institute of Electrical Engineering Qinhuangdao Institute of Technology Yanshan University China key Laboratory of Industrial Computer Control Engineering of Hebei Province National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Rolling China Institute of Electrical Engineering Yanshan University China

In this paper, A simple and effective mechanism is proposed to realize the parsimoniousness of the online least squares support vector machine. Hence, the response time is curtailed. Besides, a modified Particle Swarm Optimization (PSO) algorithm is proposed to ascertain the optimal model parameters. Simulation results show that it outperforms GA and common PSO algorithms and LS-SVM model based on the modified PSO algorithm has the best regression accuracy and generalization ability. The sparse online LS-SVM algorithm is applied to build a turbine heat rate forecasting model, which possesses dynamic prediction functions.

关键词： Prediction algorithms Heating Mathematical model Training Computational modeling Support vector machines Optimization

来源：评论

学校读者我要写书评

暂无评论

On spectrum allocation algorithm for heterogeneous channels in cognitive radio networks

On spectrum allocation algorithm for heterogeneous channels ...

引用

作者： Zhao, Bin Ma, Kai Guan, Xinping Institute of Electrical Engineering Key Laboratory of Industrial Computer Control Engineering of Hebei province Yanshan University Qinhuangdao 066004 China School of Electronics Information and Electrical Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9787894631046

Spectrum allocation is one of the most important problems in cognitive radio networks. However, the channel differentiated algorithms have not been emphasized in the current literature. This paper first proposes a classification criterion for heterogeneous channels. Then, an allocation algorithm for the channel classification is provided with the consideration of channel differences and spatial reuse of primary user's channels. Simulation result shows that the proposed algorithm improves the spectrum utilization and other network performance.

关键词： Cognitive radio

来源：评论

学校读者我要写书评

暂无评论

THE CONCEPT LEARNING IN THE THEORY OF ROUGH SETS

THE CONCEPT LEARNING IN THE THEORY OF ROUGH SETS

引用

2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

作者： QUN-FENG ZHANG YU-TING JIANG ZHI-QIANG LI Key Lab.of Machine Learning and Computational Intelligence College of Mathematics and Computer Scie Industrial and commercial college Heibei University Baoding 071002 China Hebei Information Engineering School Baoding 071000 China

Knowledge reduction in decision table is important in both theory and application, and it outputs a minimal algorithm as a result. Set of the samples fitting the minimal algorithm is a concept over the set of all possible instances. But in unfamiliar environment, decision table is obtained randomly. So the obtained concept is an approximation to a potential target concept. We discuss the model of this concept learning, sample complexity of its hypothesis space and PAC-learnability of its target concept class.

关键词： Rough Set Concept Learning Sample Complezity PAC-Learnability

来源：评论

学校读者我要写书评

暂无评论

Adaptive backstepping control of multi-model switching for the hydraulic servo position system of a rolling mill

Beijing Keji Daxue Xuebao/Journal of University of Science a...

引用

Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2012年第11期34卷 1346-1351页

作者： Shao, Peng-Zhen Fang, Yi-Ming Wang, Wen-Bin Jiao, Zong-Xia Hebei Key Lab. of Industrial Computer Control Engineering Yanshan University Qinhuangdao 066004 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China

To deal with the structure jumping problem resulting from elastic load force and external load force jumping in different working conditions, an adaptive backstepping control method of multi-model switching was presented based on the common Lyapunov function method and the adaptive backstepping method. This approach combines the features of adaptive backstepping control and the design requirements of a common Lyapunov function, and the adaptive controller for every sub-system and the parameter adaptive estimators for the uncertainty upper bound are designed by backstepping control, then taking the Lyapunov function designed by backstepping as a common Lyapunov function to ensure that the system is asymptotically stable under arbitrary switching. It is easy to select the common Lyapunov function by the combination of backstepping and the common Lyapunov function method, and the problem of parameter jumping and parameter slow time-varying existing at the same time is solved. Simulation results demonstrate that the designed controllers can ensure not only good dynamic and static performance for the hydraulic servo position system of a rolling mill, but also good robustness for the system parameter jumping and parameter slow time-varying.

关键词： Backstepping

来源：评论

学校读者我要写书评

暂无评论

Distributed Time Synchronization under Bounded Noise in Wireless Sensor Networks

Distributed Time Synchronization under Bounded Noise in Wire...

引用

IEEE Annual Conference on Decision and control

作者： Jianping He Xiaoming Duan Peng Cheng Ling Shi Lin Cai The State Key Lab. of Industrial Control Technology Zhejiang University China The Department of Electric and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong The Department of Electrical & Computer Engineering at the University of Victoria BC Canada

ISBN: (纸本)9781467360890

It is important and challenging to achieve accurate time synchronization in wireless sensor networks. Various noises, e.g., communication delay, clock fluctuation and measurement errors, are inevitable and hard to be estimated accurately, which is the main challenge for achieving an accurate time synchronization. In this paper, we focus on how to achieve accurate time synchronization by considering a practical noise model, bounded noise, which may not satisfy any known distributions. The principle that a bounded monotonic sequence must possess a limit and the concept of maximum consensus are exploited to design a novel time synchronization algorithm for the network to achieve accurate synchronization under bounded noise. The proposed algorithm is fully distributed, with high synchronization accuracy and fast convergence speed, and is able to compensate both clock skew and offset simultaneously. Moreover, we prove that the algorithm converges with probability one, which means that time synchronization is achieved completely, and the probability of the complete synchronization converges exponentially.

关键词： Synchronization Noise Estimation Accuracy Clocks Protocols Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Open-closed-loop iterative learning control for a class of nonlinear systems with random data dropouts

引用

IOP Conference Series: Materials Science and engineering 2018年第1期359卷

作者： X Y Cheng H B Wang Y L Jia YH Dong The Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

In this paper, an open-closed-loop iterative learning control (ILC) algorithm is constructed for a class of nonlinear systems subjecting to random data dropouts. The ILC algorithm is implemented by a networked control system (NCS), where only the off-line data is transmitted by network while the real-time data is delivered in the point-to-point way. Thus, there are two controllers rather than one in the control system, which makes better use of the saved and current information and thereby improves the performance achieved by open-loop control alone. During the transfer of off-line data between the nonlinear plant and the remote controller data dropout occurs randomly and the data dropout rate is modeled as a binary Bernoulli random variable. Both measurement and control data dropouts are taken into consideration simultaneously. The convergence criterion is derived based on rigorous analysis. Finally, the simulation results verify the effectiveness of the proposed method.

关键词：

来源：评论

学校读者我要写书评

暂无评论

NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction with Implicit Neural Representations

arXiv

引用

arXiv 2022年

作者： Ran, Yunlong Zeng, Jing He, Shibo Chen, Jiming Li, Lincheng Chen, Yingfeng Lee, Gimhee Ye, Qi The College of Control Science and Engineering Zhejiang University Hangzhou China The College of Control Science and Engineering The State Key Laboratory of Industrial Control Technology Zhejiang University The Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province China Fuxi AI Lab NetEase Inc. Hangzhou China The Department of Computer Science National University of Singapore Singapore

Implicit neural representations have shown compelling results in offline 3D reconstruction and also recently demonstrated the potential for online SLAM systems. However, applying them to autonomous 3D reconstruction, where a robot is required to explore a scene and plan a view path for the reconstruction, has not been studied. In this paper, we explore for the first time the possibility of using implicit neural representations for autonomous 3D scene reconstruction by addressing two key challenges: 1) seeking a criterion to measure the quality of the candidate viewpoints for the view planning based on the new representations, and 2) learning the criterion from data that can generalize to different scenes instead of a hand-crafting one. To solve the challenges, firstly, a proxy of Peak Signal-to-Noise Ratio (PSNR) is proposed to quantify a viewpoint quality;secondly, the proxy is optimized jointly with the parameters of an implicit neural network for the scene. With the proposed view quality criterion from neural networks (termed as Neural Uncertainty), we can then apply implicit representations to autonomous 3D reconstruction. Our method demonstrates significant improvements on various metrics for the rendered image quality and the geometry quality of the reconstructed 3D models when compared with variants using TSDF or reconstruction without view planning. Project webpage https://***/NeurAR/. Copyright © 2022, The Authors. All rights reserved.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Introduction to time series search engine systems

Introduction to time series search engine systems

引用

International Conference on Systems and Informatics (ICSAI)

作者： Chuanlei Zhang Ji'an Luo Shanwen Zhang Chen Zhang Department of Electrical & Computer Engineering Ryerson University State Key Lab. of Industrial Control Tech. Zhejiang University Zhejiang China Department of Engineering and Technology Zhengzhou University China Discover Information Technology Limited Shanghai China

Basic structure of time series search engine system, involving acquisition, data processing and retrieval sub-systems, was elaborated. And options for time series search engine architectures and supported features and... 详细信息

关键词： Time series analysis Data mining Search engines Feature extraction Interpolation Data processing Indexing

来源：评论

学校读者我要写书评

暂无评论

Time Synchronization in WSNs: A Maximum Value Based Consensus Approach

Time Synchronization in WSNs: A Maximum Value Based Consensu...

引用

IEEE Conference on Decision and control

作者： Jianping He Peng Cheng Ling Shi Jiming Chen State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou 310027 China Department of Electric and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)9781612848006

This paper proposes a novel synchronization algorithm for wireless sensor networks (WSNs), the Maximum Time Synchronization (MTS), which is based on maximum value consensus approach. The main idea is to maximize the local information to achieve a global synchronization. Compared with the existing consensus-based synchronization protocols, the main advantages of our protocol include: i) a faster convergence speed such that the synchronization can be completed in a finite time;ii) simultaneous compensation for both the skew and the offset. We provide a rigorous proof of convergence to global synchronization and also give the upper bound of the convergence time. Moreover, the protocol is completely distributed, asynchronous, and robust against packet losses, nodes failure and the addition of new nodes. Some numerical examples are presented to demonstrate the efficiency of our protocol.

关键词： clock recovery maximum value Converge local information. Skew Asynchronous

来源：评论

学校读者我要写书评

暂无评论

Deep Learning based Defect Detection Algorithm for Solar Panels

Deep Learning based Defect Detection Algorithm for Solar Pan...

引用

WRC Symposium on Advanced Robotics and Automation (WRC SARA)

作者： Jiaqi Li Hongxu Li Yifan Wu Hailiang Zhou Luigi Manfredi Peng Li Hong Zhang Department of Key Lab of Industrial Computer Control Engineering Hebei Province Yanshan University Qinhuangdao China Department of Computing Science University of Alberta Edmonton AB Canada Hebei Baoding Jiasheng Photovoltaic Technology Co. Ltd. Department of Institute for Medical Science and Technology (IMSaT) University of Dundee United Kingdom Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China

Defect detection of solar panels plays an essential role in guaranteeing product quality within automated production lines. However, traditional manual inspection of solar panel defects suffers from low efficiency. This paper proposes an enhanced YOLOv5 algorithm (EL-YOLOv5) fused with the CBAM hybrid attention module to ensure product quality. The algorithm focuses on detecting five common types of defects that frequently appear on photovoltaic production lines, namely hidden cracks, scratches, broken grids, black spots, and short circuits. This study utilizes publicly available solar panel datasets, as well as datasets collected from actual photovoltaic production lines. These datasets are annotated accordingly and used to train the proposed algorithm. The experimental results demonstrate that the proposed algorithm achieves good performance on both the public and actual solar panel defect datasets. Particularly in actual datasets, where defect features are often less apparent and defects are smaller in size, the proposed algorithm can still detect even minor black spots.

关键词：

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：