2021 33rd Chinese Control and Decision Conference (CCDC)最新文献_第4页

Finite-time synchronization of fractional-order PMSM with unknown parameters 未知参数分数阶永磁同步电机的有限时间同步

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601485

K. Shao, Xinyu Huang

引用次数: 1

Improved Adaptive Feedback Scheduling Algorithm based on LATE in Hadoop Platform Hadoop平台上基于LATE的改进自适应反馈调度算法

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602473

Jing Guo, Yong Wang

{"title":"Improved Adaptive Feedback Scheduling Algorithm based on LATE in Hadoop Platform","authors":"Jing Guo, Yong Wang","doi":"10.1109/CCDC52312.2021.9602473","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602473","url":null,"abstract":"Hadoop is the mainstream cloud platform for data analysis and processing. Job scheduling algorithm directly affects job response time and system resource utilization. The research and improvement of scheduling algorithm has always been an important topic. Based on the original LATE scheduling algorithm, this paper proposes an adaptive feedback LATE (AF-LATE) algorithm to improve the autonomous selection and feedback of execution nodes and backup tasks. In the process of scheduling, according to the load type of the task, the idle node with highest ratio of task success rate to node load is selected to back up the backward task. At the same time, the feedback of the task and node working data is obtained to dynamically adjust the fast and slow node set. The algorithm improves the resource utilization and load balance, and improves the reliability of task execution and reduces the running time of scheduling algorithm. In this paper the experimental environment is built to verify the algorithm. The results show that the scheduling algorithm is more reasonable in judging backward tasks and selecting execution nodes in heterogeneous environment, which can shorten the response time of jobs, improve the utilization and efficiency of the cluster, and can adaptively adjust the performance of execution nodes to improve the cluster reliability.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122848831","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 Method for Surface Detect Classification of Hot Rolled Strip Steel based on Xception 基于例外的热轧带钢表面检测分类方法

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601541

Xinglong Feng, Xian-wen Gao, Ling Luo

引用次数: 2

Application of Nonlinear Adaptive PID Control in Temperature of Chinese Solar Greenhouses 非线性自适应PID控制在我国日光温室温度控制中的应用

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601368

Yonggang Wang, Yujin Lu, Yuhang Liu, Tan Liu, Nannan Zhang

引用次数: 7

Research on Gridding Robots Based on Compliant Device Force Control 基于柔性装置力控制的网格机器人研究

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601530

Peiwen Li, Yang Li, Tianjun Zha, Lei Sun

引用次数: 1

Optimized event-triggered control for linear systems with state observer 具有状态观测器的线性系统的优化事件触发控制

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602632

Haoyun Li, Lizhen Li, Rong Cheng, Y. Fan

引用次数: 1

Acoustic Signal Target Recognition Using Improved Clustering Autoencoder 基于改进聚类自编码器的声信号目标识别

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602441

Jiaxiang Meng, Xingmei Wang, Anhua Liu, Yuezhu Xu

引用次数: 0

Research on Intelligent Identification and Quantitative Detection of Gas Leakage in Open Space 开放空间气体泄漏智能识别与定量检测研究

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602397

Liang Zhu, Anshan Xiao, Xiaoming Chi, Guolong Wang, Mingjun Li, Shaohua Gao, Ming Ma, He Zhang, Shengjie Zhu, Ming Jiang

{"title":"Research on Intelligent Identification and Quantitative Detection of Gas Leakage in Open Space","authors":"Liang Zhu, Anshan Xiao, Xiaoming Chi, Guolong Wang, Mingjun Li, Shaohua Gao, Ming Ma, He Zhang, Shengjie Zhu, Ming Jiang","doi":"10.1109/CCDC52312.2021.9602397","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602397","url":null,"abstract":"Leakage is accident, leakage is emission. The accurate detection of gas leakage in open space will help enterprises to detect the leakage as early as possible, reducing the loss and impact of safety and environmental protection. Firstly, this paper introduces the current situation of gas leakage detection technology in the open space, and the principle of quantum cascade lasers detection technology, comparing the different technologies of open path Fourier transform infrared spectrometry, solar occultation flux, tunable diode laser absorption spectroscopy, optic gas image and so on. Then, according to the technical advantages of open path quantum cascade lasers, combined with the characterization analysis of gas type, a three-layer neural network intelligent recognition model is designed by taking the specific wavelength spectrum absorption detection value as the input and the material type as the output, 2480 groups of sample data were used to train and verify the detection accuracy. The results show that the accuracy rate of leakage gas identification is more than 98%, and the quantitative detection error is less than 8%. Finally, the paper describes an open space application test based on an unmanned aerial vehicle platform, with a horizontal distance of 150 meters and a vertical height of 30 meters, which provides a new method for rapid identification and quantitative detection of gas leakage in open space.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116596740","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

Health stages division and remaining useful life prediction of rolling element bearings based on hidden semi-Markov model 基于隐半马尔可夫模型的滚动轴承健康阶段划分及剩余使用寿命预测

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601903

Hong-Ci Wu, Zhenxing Liu, Yong Zhang, Ying Zheng, Cong Tang

引用次数: 2

Identification of living and non-living watermelon seeds based on Hyperspectral Imaging Technology 基于高光谱成像技术的活体和非活体西瓜种子识别

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602433

Adria Nirere, Jun Sun, Xin Zhou, Kunshan Yao, Ningqiu Tang, Ahmad Hussain

{"title":"Identification of living and non-living watermelon seeds based on Hyperspectral Imaging Technology","authors":"Adria Nirere, Jun Sun, Xin Zhou, Kunshan Yao, Ningqiu Tang, Ahmad Hussain","doi":"10.1109/CCDC52312.2021.9602433","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602433","url":null,"abstract":"Seeds storage has been a global challenge for their conservation, and it is crucial to test their germination ability before the operation. Nondestructive detection (NDD) techniques are frequently used in testing and evaluating elements. In this work, the hyperspectral image technology is employed to distinguish the living and nonliving watermelon seeds. First, fifty collected watermelon seeds were kept at 45°C for 72 hours, and another fifty seeds were stored in dry bottle at 20 °C. Hyperspectral images of 100 samples were collected. Mean spectral data was calculated with the range of 400~ 1000nm from region of interest (ROI). Then, Savitzky-Golay (SG) and standard normalized variable (SNV) approaches were utilized to preprocess the spectral data, and principal component analysis (PCA) was used to select intervals to pick the top principal components (PCs). Moreover, a model based on support vector machine optimized by grey wolf algorithm (GWO-SVM) was introduced in this paper. Compared with normal SVM, the proposed scheme is tested and verified using the seed data with a classification rate improved from 87.5% to 97.5%. The overall results showed that nondestructive technic with SVM classification tool could be used in identification of watermelon seeds.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"35 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116742840","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