检索结果-内蒙古大学图书馆

2nd IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2022

作者： Abdelrahim, Ahmed Liu, Shi Abdalla, Nihad School of Control and Computer Engineering Beijing China

ISBN: (数字)9781728181158

ISBN: (纸本)9781728181158

Charged-Coupled Device (CCD) Camera can be used as an optical position sensor to determine the location of the hot spot on the sensor surface in two dimensions. A CCD camera is a video camera with a coupled device (CCD), which is an integrated circuit transistor light sensor with a high quantum efficiency, minimal noise, large dynamic range, linear response, and little geometric distortion. The CCD camera is a digital camera that enables taking visual information and converting it into an image or video. CCD cameras are widely used due to their ability to take images in low light. The control system employed in this study is based on a novel and modern closed-loop algorithm that allows for precise tracking of the hotspot's location and speed used in the measurement of a specific physical process. The proposed control model is controlled around the brightest area using two controllers, the Proportional-Integral-Derivative controller (PID) and the Neuro-Fuzzy controller with feedback through the CCD sensor, as well as the use of a Brushless Direct Current (BLDC) motor for position and speed control with two feedback loops. To verify the validity of the proposed system, it was found that the algorithm will achieve a better rise time and reduce the maximum overshoot. © 2022 IEEE.

关键词： controllers

来源：评论

学校读者我要写书评

暂无评论

Multivariate time series anomaly detection based on sparse autoencoder and dynamic graph attention network 5

Multivariate time series anomaly detection based on sparse a...

引用

5th International Conference on computer Vision and Data Mining, ICCVDM 2024

作者： Li, Hui Zhang, Suli School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin132022 China School of Computer Technology and Engineering Changchun Institute of Technology Changchun130012 China

ISBN: (纸本)9781510682863

With the further advancement of industrial technology, the data generated by sensors is gradually becoming more complex. Deep learning approaches have made notable strides in the domain of anomaly detection, especially when it comes to high-dimensional datasets. However, most existing methods neglect the complex relationships between feature dimensions and the dependencies between multiple time steps, resulting in insufficient extraction of key feature information. In response to this problem, our paper introduces a model for detecting anomalies in multivariate time series, utilizing Sparse Autoencoder and Dynamic Graph Attention Network (SAE-GATv2). The outcomes of experiments conducted on two actual sensor datasets reveal that our suggested approach is capable of identifying anomalies with greater precision and showcases superior overall performance in comparison to the baseline methods. © 2024 SPIE.

关键词： Sensors Data modeling Education and training Feature extraction Neurons Performance modeling Artificial neural networks Deep learning Matrices engineering

来源：评论

学校读者我要写书评

暂无评论

Multi-view stereo based on adaptive expansion propagation 7

Multi-view stereo based on adaptive expansion propagation

引用

7th International Conference on computer Information Science and Application Technology, CISAT 2024

作者： Nie, Zixuan Fu, Haohai Jilin Institute of Chemical Technology School of Information and Control Engineering Jilin132022 China Changchun Institute of Technology School of Computer Technology and Engineering Changchun130012 China

ISBN: (纸本)9798350375107

Through computer vision and image processing techniques, a set of images from a scene can be reconstructed in 3D to recover a 3D model of the scene, in which dense reconstruction is a crucial part, and most existing algorithms cannot effectively recover weak texture regions in dense reconstruction. In response to this issue, this article proposes a hypothesis propagation strategy based on adaptive extension. In the hypothesis propagation stage of PatchMatch MVS, an adaptive mechanism for region propagation is introduced, and an update counter is set to regulate the expansion of the sampling area. This ensures that there are enough excellent hypotheses for sampling in this algorithm iteration, and the quality of sampling hypotheses is not limited by fixed sampling pixel positions, thereby improving the probability of excellent hypotheses being sampled in the sampling space. It is demonstrated in the ETH3D dataset that our method reconstructs models with higher integrity, and fewer voids and smoother surfaces in the reconstruction of weakly textured regions. © 2024 IEEE.

关键词： 3D reconstruction

来源：评论

学校读者我要写书评

暂无评论

Detection of Orange Juice Concentration based on the Absorption of Visible Light 3

Detection of Orange Juice Concentration based on the Absorpt...

引用

3rd Conference on Biomedical Photonics and Cross-Fusion, BPC 2024

作者： Chengxin, Mao Lin, Gui Yu, Peng Zi Yi, Wang Di Sen, Shang Ying, Wu Qin School of Intelligent Manufacturing and Control Engineering Shanghai Polytechnic University Shanghai201209 China School of Computer and Information Engineering Shanghai Polytechnic University Shanghai201209 China

ISBN: (纸本)9781510682849

This paper presents a system for detecting orange juice concentration based on the principle of solution absorption of visible light. The system efficiently detects orange juice concentration using visible light communication technology. It utilizes a LED to emit modulated light signals at specific frequencies. By leveraging the differences in absorption and scattering characteristics of orange juice solutions at varying concentrations, the system can determine the concentration of the juice. It features low cost, high sensitivity, and strong anti-interference capabilities, offering significant application value. The system primarily consists of an Arbitrary Waveform Generator (AWG), LED light source, lamp cover, silicon photo diode (PD), and oscilloscope. After passing through the orange juice solution, the specific frequency light signals are received by the silicon photo diode and converted into electrical signals. The oscilloscope measures the peak-to-peak data of the light signals, translating it into signal power levels to obtain the concentration information of the orange juice solution. The raw data are fitted with linear and quadratic functions, yielding R2 values of 0.91547 and 0.99546, respectively. This system establishes a correlation between the concentration of orange juice and the signal power level converted from received light, based on the absorption and scattering characteristics of the juice solution at specific frequencies. Experimental results demonstrate that the system can accurately detect different concentrations of orange juice solution, showing good linear fit and broad application prospects, suitable for quality monitoring and real-time detection in orange juice production processes. © 2024 SPIE

关键词： Citrus fruits

来源：评论

学校读者我要写书评

暂无评论

Aspect Sentiment Triple Extraction Model Integrating with Syntactic Information 24

Aspect Sentiment Triple Extraction Model Integrating with Sy...

引用

5th International Conference on computer Science and Management Technology, ICCSMT 2024

作者： Zhao, Jingsheng Qu, Weilong Zheng, Jiashang Yu, Chen Zhu, Qiaoming School of Information and Control Engineering Qingdao University of Technology Shandong Qingdao China School of Computer Science and Technology Soochow University Jiangsu Suzhou China

ISBN: (纸本)9798400709999

The current mainstream aspect level sentiment analysis methods focus on modeling the relationship between word representations in text and their context, fail to fully utilize the syntactic structure information of the *** paper proposes a sentiment triplet extraction model IS-ASTE(Integrating with Syntactic information model for Aspect Sentiment Triplet Extraction, IS-ASTE).Firstly, the graph attention layer is employed to obtain contextual context ***, based on the syntactic dependency tree to obtain the text element's dependency, lexical and distance information, which is combined with the attention mechanism to augment the sentiment ***, graph convolutional neural networks are integrated to aggregate the feature information of nodes for sentiment *** experimental results indicate that, across four representative datasets, the F1 values are all better than those of the baseline model, demonstrating better performance in sentiment analysis. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Cloud-edge-based We-Market:Autonomous Bidding and Peer-to-peer Energy Sharing Among Prosumers

引用

Journal of Modern Power Systems and Clean Energy 2023年第4期11卷 1282-1293页

作者： Fangyuan Si Yinghua Han Qinqin Xu Jinkuan Wang Qiang Zhao College of Information Science and Engineering Northeastern UniversityShenyangChinaand F.Si is also with the State Key Laboratory of Power System and Generation EquipmentDepartment of Electrical EngineeringTsinghua UniversityBeijingChina School of Computer and Communication Engineering Northeastern University at QinhuangdaoQinhuangdaoChina School of Control Engineering Northeastern University at QinhuangdaoQinhuangdaoChina

With the extensive penetration of distributed renewable energy and self-interested prosumers,the emerging power market tends to enable user autonomy by bottom-up control and distributed *** paper is devoted to solving the specific problems of distributed energy management and autonomous bidding and peer-to-peer(P2P)energy sharing among prosumers.A novel cloud-edge-based We-Market is presented,where the prosumers,as edge nodes with independent control,balance the electricity cost and thermal comfort by formulating a dynamic household energy management system(HEMS).Meanwhile,the autonomous bidding is initiated by prosumers via the modified Stone-Geary utility *** the cloud center,a distributed convergence bidding(CB)algorithm based on consistency criterion is developed,which promotes faster and fairer bidding through the interactive iteration with the edge ***,the proposed scheme is built on top of the commercial cloud platform with sufficiently secure and scalable computing *** results show the effectiveness and practicability of the proposed We-Market,which achieves 15%cost reduction with shorter running *** analysis indicates better scalability,which is more suitable for largerscale We-Market implementation.

关键词： We-Market bidding energy sharing prosumer peer-to-peer cloud-edge

来源：评论

学校读者我要写书评

暂无评论

Dynamic Event-Triggered Consensus control for Input Constrained Multi-Agent Systems With a Designable Minimum Inter-Event Time

引用

IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 649-660页

作者： Meilin Li Yue Long Tieshan Li Hongjing Liang C.L.Philip Chen the School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China IEEE the Yangtze Delta Region Institute University of Electronic Science and Technology of ChinaHuzhou 313000 the Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing 100089China the School of Computer Science and Engineering South China University of TechnologyGuangzhou 510006

This paper investigates the consensus control of multi-agent systems(MASs) with constrained input using the dynamic event-triggered mechanism(ETM).Consider the MASs with small-scale networks where a centralized dynamic ETM with global information of the MASs is first ***,a distributed dynamic ETM which only uses local information is developed for the MASs with large-scale *** is shown that the semi-global consensus of the MASs can be achieved by the designed bounded control protocol where the Zeno phenomenon is eliminated by a designable minimum inter-event *** addition,it is easier to find a trade-off between the convergence rate and the minimum inter-event time by an adjustable ***,the results are extended to regional consensus of the MASs with the bounded control *** simulations show the effectiveness of the proposed approach.

关键词： Constrained input designable minimum inter-event time directed communication topology dynamic event-triggered mechanism MASs consensus control

来源：评论

学校读者我要写书评

暂无评论

SimHOEPI:A resampling simulator for generating single nucleotide polymorphism data with a high-order epistasis model

引用

Quantitative Biology 2024年第2期12卷 197-204页

作者： Yahan Li Xinrui Cai Junliang Shang Yuanyuan Zhang Jin-Xing Liu School of Computer Science Qufu Normal UniversityRizhaoChina School of Information and Control Engineering Qingdao University of TechnologyQingdaoChina School of Health and Life Sciences University of Health and Rehabilitation SciencesQingdaoChina

Epistasis is a ubiquitous phenomenon in genetics,and is considered to be one of main factors in current efforts to unveil missing heritability of complex *** data is crucial for evaluating epistasis detection tools in genome-wide association studies(GWAS).Existing simulators normally suffer from two limitations:absence of support for high-order epistasis models containing multiple single nucleotide polymorphisms(SNPs),and inability to generate simulation SNP data *** this study,we proposed a simulator SimHOEPI,which is capable of calculating penetrance tables of high-order epistasis models depending on either prevalence or heritability,and uses a resampling strategy to generate simulation data *** of SimHOEPI are the preservation of realistic minor allele frequencies in sampling data,the accurate calculation and embedding of high-order epistasis models,and acceptable simulation time.A series of experiments were carried out to verify these properties from different *** results show that SimHOEPI can generate simulation SNP data independently with high-order epistasis models,implying that it might be an alternative simulator for GWAS.

关键词： high-order epistasis model penetrance table resampling strategy simulation single nucleotide polymorphisms

来源：评论

学校读者我要写书评

暂无评论

Invariant Set Analysis and control Synthesis of Multi-Equilibrium Switched Systems under control Constraints 13

Invariant Set Analysis and Control Synthesis of Multi-Equili...

引用

13th International Conference on Intelligent control and Information Processing, ICICIP 2025

作者： Han, Yuejiang Zhang, Lixian Ding, Yihang Dong, Yifei Liang, Ye School of Astronautics Harbin Institute of Technology Harbin China College of Computer and Control Engineering Northeast Forestry University Harbin China

ISBN: (纸本)9798331516147

This paper investigates the problems of invariant set analysis and control synthesis for multi-equilibrium switched systems under control constraints. A control strategy based on the invariant set method is proposed, accompanied by criteria formulated as linear matrix inequalities, ensuring that the state remains within the mode-dependent invariant sets. Furthermore, considering the control constraints in practical scenarios, a multi-equilibrium switched controller with control constraints (MESCC controller) is designed. Compared to existing works, the proposed method incorporates mode-dependent dwell time conditions and mode-dependent invariant sets, thereby offering enhanced design flexibility. An example of an aero-engine control system is presented to demonstrate the effectiveness and potential of the theoretical results. © 2025 IEEE.

关键词： control system synthesis

来源：评论

学校读者我要写书评

暂无评论

Research on indoor temperature and humidity coupling system based on fuzzy adaptive PD control 9

Research on indoor temperature and humidity coupling system ...

引用

2024 9th International Seminar on computer Technology, Mechanical and Electrical engineering, ISCME 2024

作者： Li, Hui Yang, Hao Zhang, Suli Miao, Jiahao School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin Jilin132022 China School of Computer Technology and Engineering Changchun Institute of Technology Jilin Changchun130012 China

In this research, a fuzzy adaptive PD control approach is introduced for managing the coupled indoor temperature and humidity system. Initially, the mathematical framework of indoor temperature and humidity is analyzed. For the coupled system, a decoupling control strategy is introduced, which eliminates the mutual influence between temperature and humidity by incorporating decoupling components, thereby enabling the system to be equivalently controlled as two independent single-input single-output systems. Secondly, a fuzzy adaptive PD control method is employed to achieve parameter self-tuning. Finally, to assess the efficacy of the introduced control approach, the present study undertakes a simulation analysis, utilizing a medium-sized office as a case study. The outcomes of the simulation suggest that upon implementing the fuzzy adaptive PD control methodology, the modulation of indoor temperature and humidity achieves enhanced precision and swiftness, notably demonstrating greater robustness in the presence of disturbance signals. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Self tuning control systems

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：