发布求助
文献互助 智能选刊 最新文献

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)最新文献

筛选
英文 中文
Novel Global Harmony Search Algorithm with New Position Updating for Optimization Problems 基于位置更新的优化问题全局和谐搜索算法
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/yac51587.2020.9337706
Wenqi Wei, Liyun Fu, H. Ouyang
{"title":"Novel Global Harmony Search Algorithm with New Position Updating for Optimization Problems","authors":"Wenqi Wei, Liyun Fu, H. Ouyang","doi":"10.1109/yac51587.2020.9337706","DOIUrl":"https://doi.org/10.1109/yac51587.2020.9337706","url":null,"abstract":"Novel global harmony search algorithm performs better in many engineering optimization problems, but its optimization accuracy is valued to further study. Therefore, a modified version of NGHS algorithm will be proposed to solve some optimization problems. Inspired by differential evolution algorithm mutation operation, stochastic harmony variable is selected and applied in the position updating to enhance the global search capability. Then double evolution operation be used based on a probability control parameter in evolution process, which aim to reduce the probability of algorithm trouble in local optimum value. Compared to some well-known approaches such as HS, IHS, GHS, IHS_MM, IHS_SM, NGHS, all the results demonstrated that the new proposed algorithm has better potential performance.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123044448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Advanced Real-Time Synchronized Goertzel algorithm in Smart Power Meter 智能电表中一种先进的实时同步Goertzel算法
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337575
Yi-Ming Ding, Ankang Ding, J. Liang, Jinbo Hu, Zhanqing Yin, Zirui Li
{"title":"An Advanced Real-Time Synchronized Goertzel algorithm in Smart Power Meter","authors":"Yi-Ming Ding, Ankang Ding, J. Liang, Jinbo Hu, Zhanqing Yin, Zirui Li","doi":"10.1109/YAC51587.2020.9337575","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337575","url":null,"abstract":"In order to solve the problems of complicated calculation and poor real-time performance in measuring the electrical parameters of the traditional smart meter, this paper proposed a real-time Synchronized Goertzel algorithm which can be well applied in the smart meter (SM) system. By processing the voltage and current data collected from the grid terminal, the algorithm can obtain the information of frequency, energy and waveform with time labels, so as to realize low cost, efficient measurement and transmission of grid monitoring information in the Internet of Things (IoT). At the same time, the algorithm can adapt to the change of power grid frequency, calculate the RMS values of voltage and current with high accuracy, avoiding the problem of inaccurate energy evaluation caused by the fixed frequency constant of smart meter. Furthermore, the efficacy of the proposed algorithm has been evaluated by theoretical calculation and validation in MATLAB/Simulink environment.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128205668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Application and Future of Modern Energy Internet Based on Artificial Intelligence 基于人工智能的现代能源互联网应用与未来
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337622
Xiaojing Yang, Tianlu Gao, Shiqian Ma, Xiaoyan Gong, Zhigang Huang, Dazhi Hao
{"title":"Application and Future of Modern Energy Internet Based on Artificial Intelligence","authors":"Xiaojing Yang, Tianlu Gao, Shiqian Ma, Xiaoyan Gong, Zhigang Huang, Dazhi Hao","doi":"10.1109/YAC51587.2020.9337622","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337622","url":null,"abstract":"The emergence of deep learning is undoubtedly a landmark breakthrough in artificial intelligence, and the emergence of this technology makes it possible for us to realize the real smart grid. A major challenge currently facing deep learning technology is the requirement of enough training samples to ensure the accuracy of results of the learning. But for the current power grid, training data can be obtained because a lot of real time data is collected to maintain the stability of its operation. With the deep learning technology, there is no doubt that these data can be utilized to realize the intelligent operation of the power grid. First, this paper gives a brief introduction to the current artificial intelligence, followed by the introduction of deep learning technology. Some potential applications of the deep learning in the daily operation of the power grid are proposed. And in the end, there is a brief description of some of the features that future smart grids should have.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130550656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Time delay control of linear systems with input hysteresis 输入迟滞线性系统的时滞控制
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337630
Zhifu Li, Ge Ma, Guiyun Liu
{"title":"Time delay control of linear systems with input hysteresis","authors":"Zhifu Li, Ge Ma, Guiyun Liu","doi":"10.1109/YAC51587.2020.9337630","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337630","url":null,"abstract":"The problem of time delay control (TDC) for a uncertain linear systems with input hysteresis is studied in this paper. To mitigate the effectiveness of input hysteresis, a controller based on TDC is proposed. Particularly, the time delay estimation (TDE) is used to estimate the uncertainty and the unknown nonlinear part of the hysteresis. Then, a time delay controller is designed to obtain high performance without modeling the hysteresis. Finally, compared with an adaptive sliding mode controller, the simulation results show the effectiveness and superiority of the proposed controller.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124050653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Photovoltaic Power Generation Unit Life Prediction Based on Grey Forecast Model with Health Evaluation 基于健康评价灰色预测模型的光伏发电机组寿命预测
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337637
F. Xu, Jingcheng Wang, Wei Guo, Lingling Yao
{"title":"Photovoltaic Power Generation Unit Life Prediction Based on Grey Forecast Model with Health Evaluation","authors":"F. Xu, Jingcheng Wang, Wei Guo, Lingling Yao","doi":"10.1109/YAC51587.2020.9337637","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337637","url":null,"abstract":"In the photovoltaic power generation plant, health condition of each unit is regarded as a crucial index. Whether the life prediction is accurate or not determines the economic benefit of the plant. Among the current research and applications, either the designed system is too complex to be suitable for most of the cases, or lack of complete and scientific algorithm to support the analysis. In order to deal with the problems encountered, in this paper, a life prediction method for photovoltaic power plant based on GM(l,l) model is proposed. On the basis of PR calculation, the definition of Health with only four indicators for each unit is introduced, simplifying system calculation and improving the efficiency. According to the ' ‘Bathtub Curve’ of the equipment, relate aging rate to Health. After calculating and transforming the collected data into sequence, the preparatory work for this method is completed. Further, take the aging rate sequence as the input and obtain the life prediction curves. This paper designs optimization for GM(l,l) grey forecast model, which makes the model self-correct the curves dynamically. This method is implemented with the data from a photovoltaic power plant. The results show that this method is well worth being adopted in reality.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"478 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115875596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Grasshopper Optimization Algorithm for the Flexible Job Shop Scheduling Problem 柔性作业车间调度问题的Grasshopper优化算法
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337609
Yi Feng, Mengru Liu, Zhile Yang, Wei Feng, Dongsheng Yang
{"title":"A Grasshopper Optimization Algorithm for the Flexible Job Shop Scheduling Problem","authors":"Yi Feng, Mengru Liu, Zhile Yang, Wei Feng, Dongsheng Yang","doi":"10.1109/YAC51587.2020.9337609","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337609","url":null,"abstract":"Job shop scheduling problem (JSP) is one of the most difficult scheduling problems, and flexible job shop scheduling problem (FJSP) is an extension of the classical JSP. In FJSP, a machine for each process should be selected from a given set, which introduces another decision element in the job path that makes FJSP more difficult than traditional JSP. In this paper, a recent proposed intelligence algorithm named grasshopper optimization algorithm (GOA) is used to solve FJSP. Numerical results with comparisons of other classic algorithm counterparts show that GOA has stronger global searching ability and performs better when solving FJSP.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130019841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Adaptive Neural Network Control of a Marine Surface Vessel with Output Constrains 具有输出约束的海洋水面舰船自适应神经网络控制
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337650
Guan‐Wei Chen, X. Tian, Haitao Liu
{"title":"Adaptive Neural Network Control of a Marine Surface Vessel with Output Constrains","authors":"Guan‐Wei Chen, X. Tian, Haitao Liu","doi":"10.1109/YAC51587.2020.9337650","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337650","url":null,"abstract":"In this article, an adaptive neural network (NN) trajectory tracking control is proposed for a marine surface vessel with output constraints and uncertainties. The second-order linear tracking differentiator was employed to cope with differential blast problem, an adaptive NN is adopted to estimate the uncertainty models and unknown disturbances, and an asymmetric barrier Lyapunov function (BLF) is used to handle the output constrains problems. Moreover, it is proven that the multiple output limits are never violated, the asymptotic tracking can be implemented, and all signals of the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB). A numerical simulation are demonstrated the availability of the proposed methods.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134447561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Design of Dynamic Formaldehyde Detection Instrument Based on Constant Potential Electrochemical Formaldehyde Analysis 基于恒电位电化学甲醛分析的动态甲醛检测仪设计
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337682
Yongzhi Chen, Yubin Li
{"title":"Design of Dynamic Formaldehyde Detection Instrument Based on Constant Potential Electrochemical Formaldehyde Analysis","authors":"Yongzhi Chen, Yubin Li","doi":"10.1109/YAC51587.2020.9337682","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337682","url":null,"abstract":"(Based on expounding and analyzing the experimental requirements of the Electrochemical sensor, temperature instrument system and Central control analysis system, Atomizing fluid storage system established the design scheme of the instrument Formaldehyde detection. Compared with the traditional formaldehyde concentration detection method, the formaldehyde concentration detector introduced in this paper strengthens the dynamic detection of formaldehyde adsorption on materials, improves the disadvantage that the conventional detection method can only detect Formaldehyde regularly, and has the advantages of short detection cycle, high detection accuracy, low cost, and strong practicability. Improve the detection means in the field of real-time formaldehyde detection by electrochemical detection method.)","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133753746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Overview of Bidding Strategies Based on Electricity Price Forecast for Generation Side under New Electricity Reform 新电力体制下基于电价预测的发电侧竞价策略综述
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337568
Haoyu Jiang, Yingying Fu, Quanbo Ge
{"title":"Overview of Bidding Strategies Based on Electricity Price Forecast for Generation Side under New Electricity Reform","authors":"Haoyu Jiang, Yingying Fu, Quanbo Ge","doi":"10.1109/YAC51587.2020.9337568","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337568","url":null,"abstract":"With the development of the national economy and the change of policies, the development of the electric power industry continues to expand. The New Electricity Reform proposes that electricity price is the core of electricity reform, and the power generation side is the main member of the market. Its quotation strategy affects the listing price in the electricity market. Therefore, this paper summarizes the electricity market trading models and bidding strategies on the power generation side, and discusses the bidding strategy based on electricity price prediction. As the core of electricity price forecasting, load forecasting is studied and discussed in detail in this paper. Finally, the future trend of bidding strategy in electricity market is forecasted.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115838428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Multi-Scale Detector Based on Attention Mechanism 基于注意机制的多尺度检测器
2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2020-10-16 DOI: 10.1109/YAC51587.2020.9337704
Lukuan Zhou, Wei Wang, Qiang Wang, Biyun Sheng, Wankou Yang
{"title":"A Multi-Scale Detector Based on Attention Mechanism","authors":"Lukuan Zhou, Wei Wang, Qiang Wang, Biyun Sheng, Wankou Yang","doi":"10.1109/YAC51587.2020.9337704","DOIUrl":"https://doi.org/10.1109/YAC51587.2020.9337704","url":null,"abstract":"After the two-stage detector is first introduced and popularized by R-CNN, two-stage detectors have achieved great performance, but there are still many problems. 1. FPN tries to use different level features to deal with the scale variance problem in object detection, but lacks the screening of information, leading to important information not protruding and introducing interference; 2. Although CNN realizes the automation of feature extraction, there are still many components that need manual design, such as loss functions, etc., how to choose suitable loss function for different stages are still to be explored. To overcome these issues, we introduce attention mechanism to FPN and propose a more effective feature fusion method for it. Besides, we explore the selection criteria about choosing loss function in each stage and find combining Smooth L1 loss function with the new loss function focused on inliers such as Balanced Smooth L1 yield better results than only using a single loss function. Based on them, we propose Attention Feature Pyramid Networks(AFPN) Detector and train with different loss functions. Experiments show that our method achieves 1.1 points AP improvement than FPN Faster R-CNN on MS-COCO.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115040759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信