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2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)最新文献

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Recognition and classification of surface defects of aluminum castings based on machine vision 基于机器视觉的铝铸件表面缺陷识别与分类
2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) Pub Date : 2021-07-01 DOI: 10.1109/MLISE54096.2021.00010
Jing Lin, Ke Wen, Yongyue Liu, Xuechang Zhang
{"title":"Recognition and classification of surface defects of aluminum castings based on machine vision","authors":"Jing Lin, Ke Wen, Yongyue Liu, Xuechang Zhang","doi":"10.1109/MLISE54096.2021.00010","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00010","url":null,"abstract":"In order to improve the efficiency of surface defect detection of casting parts in industrial production, machine vision method was used to automatically identify and classify the surface defects of castings. Image processing technology is used to preprocess the collected sample image, enhance the image information and segment the defect area. The geometric features, shape features and gray features of various defect images are analyzed, and the supervised learning classifier is designed to classify and recognize the parameters of casting feature set. By comparing radial basis function kernel function SVM, BP neural network and polynomial kernel function SVM. Experimental verification: The average recognition rate of RBF kernel SVM is 96%, which is higher than the other two methods. The results show that the classifier can meet the needs of industrial detection.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131387083","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 comprehensive target detection method based on wave gate design and Hough transform 基于波门设计和霍夫变换的综合目标检测方法
2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) Pub Date : 2021-07-01 DOI: 10.1109/MLISE54096.2021.00039
Ke Liu, J. Bo, Zhigang Peng
{"title":"A comprehensive target detection method based on wave gate design and Hough transform","authors":"Ke Liu, J. Bo, Zhigang Peng","doi":"10.1109/MLISE54096.2021.00039","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00039","url":null,"abstract":"Aiming at the problem of large amount of calculation for weak target detection and tracking in dense clutter environment, this paper proposes a detection and tracking algorithm combining logic method and Hough transform method. First, the Hough transform method is used to start the track, and then the quantity in a few frames is calculated. The measuring point uses logic method to set up the wave gate, after filtering out the clutter of other area, adopts the modified Hough transform method. The simulation results show that the algorithm in this paper can effectively reduce the amount of calculation on the premise that it can efficiently detect and track the target track.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131252727","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
Load Spectrum Acquisition, Analysis and Application of The Electric Bus in Road Simulation Test Based on Multi-Sensor 基于多传感器的电动客车道路模拟试验载荷谱采集、分析及应用
2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) Pub Date : 2021-07-01 DOI: 10.1109/MLISE54096.2021.00100
Jiang Shuai, Shou Heng, Yang Jing, Yin Feng, Ning Han, Yang Mengqin
{"title":"Load Spectrum Acquisition, Analysis and Application of The Electric Bus in Road Simulation Test Based on Multi-Sensor","authors":"Jiang Shuai, Shou Heng, Yang Jing, Yin Feng, Ning Han, Yang Mengqin","doi":"10.1109/MLISE54096.2021.00100","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00100","url":null,"abstract":"Road simulation test is one of the effective methods to verify the fatigue durability of new energy vehicles. Based on polarity and domain value analysis to ensure reliability of the test data, this paper focused on ground acquisition of load spectrum provided by a new energy bus. The paper used correlation analysis, tested speed contrast, extremum and conducted damage analysis of screening target data by removing acceleration, compressing four pillar acceleration and time domain performance of target data. Input data was obtained, the bench input data PSD (Power Spectrum Density) and rain load flow were compared and analyzed. The results show that the data is consistent before and after the input signal acceleration. It can be used in laboratory road simulation test target load spectrum. It lays the technical foundation and data support for laboratory road simulation test and vehicle fatigue endurance simulation.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131128921","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
Research on Audio Playing System Design Factors Modeling based on Interpretive Structure Model 基于解释结构模型的音频播放系统设计因素建模研究
2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) Pub Date : 2021-07-01 DOI: 10.1109/MLISE54096.2021.00014
Zhiyong Xiong, Zhaoxiong Yan
{"title":"Research on Audio Playing System Design Factors Modeling based on Interpretive Structure Model","authors":"Zhiyong Xiong, Zhaoxiong Yan","doi":"10.1109/MLISE54096.2021.00014","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00014","url":null,"abstract":"The influencing factors modeling of audio playing systems is complex in the process of product design and development. In order to deeply analyze the relationship and hierarchical attributes among the core influencing factors of the audio playing system, ten influencing factors are extracted based on the field survey results. User experience constructs the relationship model between the factors using the interpretative structural model method, calculates the reachability matrix through the adjacency matrix, and decomposes the hierarchy to clarify each influencing factor's hierarchical structure and relationship. Finally, we proposed a hierarchical structure relation model of series audio playback system product development and expounded their rules. The influencing factors modeling of audio playing system development based on interpretive structure model has guiding significance for related product design development.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123805236","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
Smart Grid System Security Protection by Deep Neural Network 基于深度神经网络的智能电网系统安全保护
2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) Pub Date : 2021-07-01 DOI: 10.1109/MLISE54096.2021.00060
Fan Li, Yi Wu, Yihan Liu, Yingjie Tian, Hongshan Yang
{"title":"Smart Grid System Security Protection by Deep Neural Network","authors":"Fan Li, Yi Wu, Yihan Liu, Yingjie Tian, Hongshan Yang","doi":"10.1109/MLISE54096.2021.00060","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00060","url":null,"abstract":"The increasing number and types of attacks in the smart grid lead to the decline of its security. Therefore, in order to improve the security performance of the power grid, this paper first proposes an attack detection architecture to detect attack types. Then the representative features of different types of attacks are extracted on the basis of deep belief network and support vector machine. Finally, the attack behavior is identified by deep neural network. The main contributions of this paper are as follows: 1) in view of the low accuracy of behavior detection caused by a large number of attacks and long data segments, we enhance the data information of the original model by generating an improved confrontation network. It improves the stability of attack behavior recognition. 2) in the known attack behavior experiments with complex types and high concealment, we use the nonlinear iterative algorithm based on deep belief network to select features automatically to improve the recognition accuracy of covert behavior. 3) for the detection task of unknown attack behavior, we propose a method of extracting behavior features based on support vector machine, which significantly improves the detection accuracy and proves the effectiveness of our model for representative behavior feature extraction.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116871799","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
The Agricultural Greenhouse Management Platform based on IoT and SSM Architecture 基于物联网和SSM架构的农业大棚管理平台
2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) Pub Date : 2021-07-01 DOI: 10.1109/MLISE54096.2021.00070
Li Ruishi, Shen Yuhang, Zhu Xiaojia, Xu Miao
{"title":"The Agricultural Greenhouse Management Platform based on IoT and SSM Architecture","authors":"Li Ruishi, Shen Yuhang, Zhu Xiaojia, Xu Miao","doi":"10.1109/MLISE54096.2021.00070","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00070","url":null,"abstract":"This paper introduces the agricultural greenhouse management platform, a WEB-based system constructed from the SSM architecture. The platform integrates big data technologies with IoT and can be used to promote the informationization and intelligentization of greenhouses and farms. Our system provides many functions such as real-time monitoring of crop environmental parameters, real-time prompt of greenhouse warning information, data analysis and download, crop information management, traceability information management, employee information management, etc. We employ HTML5, CSS, AJAX, Express, Nunjucks, Highcharts and other front-end development technologies to design the web pages, and adopt the SSM three-tier architecture to develop the back-end business processing modules. Our platform has been tested in some local farms and help them improve the management efficiency of greenhouses and farms.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114779363","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
Design and research of a fine operation capability evaluation system based on Fitts' law 基于菲茨定律的精细作业能力评价体系的设计与研究
2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) Pub Date : 2021-07-01 DOI: 10.1109/MLISE54096.2021.00050
Cai Liming, Chenli, Zhu Jun, Zhu YunChao, Ma Xin
{"title":"Design and research of a fine operation capability evaluation system based on Fitts' law","authors":"Cai Liming, Chenli, Zhu Jun, Zhu YunChao, Ma Xin","doi":"10.1109/MLISE54096.2021.00050","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00050","url":null,"abstract":"Aiming at the precision operation ability of the joystick in flight, an evaluation system for testing the precision operation ability of the 2-DOF joystick is developed, which includes the 2-DOF joystick and the control module. Based on FITTS theory, the effects of different difficulty index (ID) and action time (T) on the precision of fine movements were designed, and different load controls were introduced. Finally, validation tests were carried out under different load conditions of 10% (INM), 30% (3) and 60% (6NM), and the validity of FITTS theory was preliminarily verified, providing an experimental basis for the next stage of tests.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129693006","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
Effect of Crack on Elasto-hydrodynamic Lubrication in Point Contact 裂纹对点接触弹流润滑的影响
2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) Pub Date : 2021-07-01 DOI: 10.1109/MLISE54096.2021.00106
Yujuan Li, Wen Wang, M. Ma, Yongqiang Wang
{"title":"Effect of Crack on Elasto-hydrodynamic Lubrication in Point Contact","authors":"Yujuan Li, Wen Wang, M. Ma, Yongqiang Wang","doi":"10.1109/MLISE54096.2021.00106","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00106","url":null,"abstract":"In this paper, a point contact elasto-hydrodynamic lubrication model considering internal cracks in materials is presented. The effect of crack on Von Mises stress was shown by adding disturbed displacement to the film thickness equation. The method not only takes into account the interaction of fluid-structure in the EHL contact but also the internal crack under the actual working conditions. In this paper, the iterative method is used to solve the problem until the oil film thickness and pressure converge simultaneously. The process is simple and convenient. Sample cases are presented to analyze the effects of crack size and location on oil film thickness, pressure and subsurface Von Mises stress. The results indicate that the stress concentration occurs at the crack tip due to the existence of crack; With the increase of crack length, the oil film thickness increases, while the pressure decreases; With the increase of crack depth, the oil film thickness decreases, while the pressure increases.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121207434","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 modeling schemes for MMC converter in flexible DC distribution network 柔性直流配电网MMC变换器建模方案综述
2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) Pub Date : 2021-07-01 DOI: 10.1109/MLISE54096.2021.00030
Zhong Liu, Haoyu Hu, Yiwen Liang, Yajun Wang, Chaowu Liu, Shenxing Shi, Xinzhou Dong
{"title":"Overview of modeling schemes for MMC converter in flexible DC distribution network","authors":"Zhong Liu, Haoyu Hu, Yiwen Liang, Yajun Wang, Chaowu Liu, Shenxing Shi, Xinzhou Dong","doi":"10.1109/MLISE54096.2021.00030","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00030","url":null,"abstract":"Flexible DC distribution network has flexible control, high power quality and can be equipped with new energy distributed generation, but the serious over-current problem after DC line fault is one of the important factors restricting its development. The analysis and calculation of short-circuit fault current is of great significance for the design and selection of system parameters. However, as MMC converter station is a highly complex nonlinear system, the exact analytical expression of fault current can not be obtained, so the short-circuit fault current is often obtained by simulation. The research on approximate expression of fault current can only be carried out for two terminal DC system, but it can't be done for line short-circuit fault current in other topologies. This paper introduces the basic characteristics and simplified method of modular multilevel converter (MMC).","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121526311","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
Global positioning control algorithm of bionic multiagent based on particle filter 基于粒子滤波的仿生多智能体全局定位控制算法
2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) Pub Date : 2021-07-01 DOI: 10.1109/MLISE54096.2021.00061
Y. Liu
{"title":"Global positioning control algorithm of bionic multiagent based on particle filter","authors":"Y. Liu","doi":"10.1109/MLISE54096.2021.00061","DOIUrl":"https://doi.org/10.1109/MLISE54096.2021.00061","url":null,"abstract":"In order to improve the intelligent positioning ability of bionic multi-agent multi-module robot, an intelligent positioning method of bionic multi-agent multi-module robot based on particle filter and GPS is proposed. A DOA parameter estimation model for intelligent positioning of bionic multi-agent multi-module robot is constructed, and GPS information collection during intelligent positioning of bionic multi-agent multi-module robot is realized by combining spatial orientation characteristic parameter analysis. GPS satellite positioning method is adopted to realize spatial target parameter identification of bionic multi-agent multi-module robot, and particle filter and block calibration fusion method are adopted. The analytical model of adaptive control parameters for bionic multi-agent and multi-module robot positioning is established, and the adaptive parameter estimation and spatial position calculation of bionic multi-agent and multi-module robot are completed by combining GPS positioning correction technology, thus realizing the intelligent positioning algorithm design of bionic multi-agent and multi-module robot. Simulation results show that this method has high positioning accuracy and good positioning accuracy for bionic multi-agent multi-module robot.","PeriodicalId":430495,"journal":{"name":"2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127470479","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
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