A novel multi-objective particle swarm optimization is proposed in this paper, which can select the optimal grid learning without replacement sampling (WRSMOPSO). The algorithm first adaptively groups the population according to the optimal number of grids, then selects the optimal grid for each group without replacement sampling, and finally selects the optimal solution randomly from the selected optimal grids for learning. In order to ensure the diversity and convergence of the algorithm, this paper also established a new external archive control strategy based on grid technology. The WRSMOPSO and the classic MOPSO are simulated experiments on the benchmark function. Experimental results show that the WRSMOPSO can effectively improve the inverted generational distance (IGD) and hypervolume indicator (HV), which compares with classic MOPSO, the WRSMOPSO shows good overall performance.
{"title":"Multi-objective particle swarm optimization for selecting optimal grid learning without replacement sampling","authors":"Xiaoli Shu, Yan-min Liu, Nana Li, Shihua Wang, Qian Zhang, Meilan Yang","doi":"10.1109/ICESIT53460.2021.9697040","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9697040","url":null,"abstract":"A novel multi-objective particle swarm optimization is proposed in this paper, which can select the optimal grid learning without replacement sampling (WRSMOPSO). The algorithm first adaptively groups the population according to the optimal number of grids, then selects the optimal grid for each group without replacement sampling, and finally selects the optimal solution randomly from the selected optimal grids for learning. In order to ensure the diversity and convergence of the algorithm, this paper also established a new external archive control strategy based on grid technology. The WRSMOPSO and the classic MOPSO are simulated experiments on the benchmark function. Experimental results show that the WRSMOPSO can effectively improve the inverted generational distance (IGD) and hypervolume indicator (HV), which compares with classic MOPSO, the WRSMOPSO shows good overall performance.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114511101","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}
Pub Date : 2021-11-22DOI: 10.1109/ICESIT53460.2021.9696604
Zhang Haiwei, Liang Shuangshuang
In this paper, the five space vector modulation method is adopted on the basis of the traditional finite-control-set model predictive control, which can effectively to reduce the common mode voltage, and suppress the switching losses. The delay compensation is added to the finite-control-set model predictive control to construct the cost function of reducing the deviation from the output current, and calculate the optimal action time of the five vectors. The experiment verifies that the optimal time five voltage vector finite-set model predictive control effectively dropped down the common-mode voltage, improved the symmetry of the three-phase output current and the waveform quality.
{"title":"Optimal Time Five Voltage Vector Finite-set Model Predictive Control","authors":"Zhang Haiwei, Liang Shuangshuang","doi":"10.1109/ICESIT53460.2021.9696604","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696604","url":null,"abstract":"In this paper, the five space vector modulation method is adopted on the basis of the traditional finite-control-set model predictive control, which can effectively to reduce the common mode voltage, and suppress the switching losses. The delay compensation is added to the finite-control-set model predictive control to construct the cost function of reducing the deviation from the output current, and calculate the optimal action time of the five vectors. The experiment verifies that the optimal time five voltage vector finite-set model predictive control effectively dropped down the common-mode voltage, improved the symmetry of the three-phase output current and the waveform quality.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121998476","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}
In the classroom energy-saving system, the traditional method of using the illuminance sensor to detect brightness has problems such as wiring difficulties, equipment failure, low detection accuracy, and the need for regular replacement of equipment. Without changing the original wiring layout of the classroom, using the existing cameras in the classroom and adopting the deep learning method based on image processing has the advantages of saving money, high feasibility, and high accuracy. First, the HSV color model is used to obtain the average brightness value of the image, and then the optimizer is used to obtain the best threshold for light and dark classification. The data set is labeled with light and dark through the best threshold. To make up for the lack of data set, use random scaling and cropping to the data After enhancement, the VGG convolutional neural network is used for training, and the accuracy of bright and dark classification reaches 99.6%. At the same time, it is compared with the deep neural network algorithm and the day and night classification algorithm, it is found that using the VGG convolutional neural network for bright and dark classification has the best effect.
{"title":"Classroom Brightness Detection Based on Deep Learning","authors":"Liang Lei, Lanyao Qin, Zhaocheng Huang, Huiming Liang, Yunfeng Jiang, Yuanyuan He, Yanwei Yin","doi":"10.1109/ICESIT53460.2021.9696510","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696510","url":null,"abstract":"In the classroom energy-saving system, the traditional method of using the illuminance sensor to detect brightness has problems such as wiring difficulties, equipment failure, low detection accuracy, and the need for regular replacement of equipment. Without changing the original wiring layout of the classroom, using the existing cameras in the classroom and adopting the deep learning method based on image processing has the advantages of saving money, high feasibility, and high accuracy. First, the HSV color model is used to obtain the average brightness value of the image, and then the optimizer is used to obtain the best threshold for light and dark classification. The data set is labeled with light and dark through the best threshold. To make up for the lack of data set, use random scaling and cropping to the data After enhancement, the VGG convolutional neural network is used for training, and the accuracy of bright and dark classification reaches 99.6%. At the same time, it is compared with the deep neural network algorithm and the day and night classification algorithm, it is found that using the VGG convolutional neural network for bright and dark classification has the best effect.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124550879","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}
Pub Date : 2021-11-22DOI: 10.1109/ICESIT53460.2021.9696768
Zhongguang Sun
In order to study the influence of different in-situ stress and gas pressure conditions on the effect of ground pre-extracted coalbed methane, according to the example of Jincheng mining area, based on the COMSOL numerical simulation software, with the stress of 5 MPa, 10 MPa, 15 MPa, 20 MPa and reservoir pressure of 1.0 MPa, 1.5 MPa, 2.0 MPa and 2.5 MPa, the effect of coal seam stress and reservoir pressure on the surface pre extraction of coal bed gas is studied. The results show that the increase of ground stress in coal seam makes the porosity of the matrix and the fracture tend to close, resulting in the decrease of permeability, the decrease of the flow rate of gas in the pores and cracks, and the decrease of gas production rate and gas production rate, and the pressure of the reservoir is positively related to the rate of coalbed methane production, and the higher the reservoir pressure is. The higher the production rate and the higher the total output, the higher the extraction time, the higher the permeability of coal seam, and the greater the reservoir pressure is, the more significant the change is.
{"title":"Numerical Simulation Analysis of Ground Pre-extracted Coalbed Methane","authors":"Zhongguang Sun","doi":"10.1109/ICESIT53460.2021.9696768","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696768","url":null,"abstract":"In order to study the influence of different in-situ stress and gas pressure conditions on the effect of ground pre-extracted coalbed methane, according to the example of Jincheng mining area, based on the COMSOL numerical simulation software, with the stress of 5 MPa, 10 MPa, 15 MPa, 20 MPa and reservoir pressure of 1.0 MPa, 1.5 MPa, 2.0 MPa and 2.5 MPa, the effect of coal seam stress and reservoir pressure on the surface pre extraction of coal bed gas is studied. The results show that the increase of ground stress in coal seam makes the porosity of the matrix and the fracture tend to close, resulting in the decrease of permeability, the decrease of the flow rate of gas in the pores and cracks, and the decrease of gas production rate and gas production rate, and the pressure of the reservoir is positively related to the rate of coalbed methane production, and the higher the reservoir pressure is. The higher the production rate and the higher the total output, the higher the extraction time, the higher the permeability of coal seam, and the greater the reservoir pressure is, the more significant the change is.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129694412","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}
Pub Date : 2021-11-22DOI: 10.1109/ICESIT53460.2021.9696668
Zhang Xin, Ma Teng, Liu Yuanzhi, Li Jiashi
With the rapid development of electric vehicle market and the increasingly complex application of automotive electronic and electrical technology in electric vehicles, the functional safety technology of electric vehicles has also been more applied. Aiming at the integrated pure electric vehicle, in order to avoid the unintended acceleration caused by the failure of driving control function as the functional safety goal, based on the EGAS three-level monitoring concept, the second level torque monitoring algorithm is researched, and the co-simulation is carried out based on CarSim and Simulink. And the algorithm is applied and tested in an electric vehicle. The results of vehicle test and simulation provides guidance for the safety development of new energy vehicle driving control function.
{"title":"Research of driving torque monitoring for electric vehicle","authors":"Zhang Xin, Ma Teng, Liu Yuanzhi, Li Jiashi","doi":"10.1109/ICESIT53460.2021.9696668","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696668","url":null,"abstract":"With the rapid development of electric vehicle market and the increasingly complex application of automotive electronic and electrical technology in electric vehicles, the functional safety technology of electric vehicles has also been more applied. Aiming at the integrated pure electric vehicle, in order to avoid the unintended acceleration caused by the failure of driving control function as the functional safety goal, based on the EGAS three-level monitoring concept, the second level torque monitoring algorithm is researched, and the co-simulation is carried out based on CarSim and Simulink. And the algorithm is applied and tested in an electric vehicle. The results of vehicle test and simulation provides guidance for the safety development of new energy vehicle driving control function.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126844280","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}
Pub Date : 2021-11-22DOI: 10.1109/ICESIT53460.2021.9696999
Xiaoling Jia, Zhifeng Zhang
In this paper two kinds of wavelength demultiplexers with paired and beveled structures that work at 1.3µm /1. 55µm were presented. The various states of the wavelength demultiplexers were simulated and analyzed respectively using the finite difference beam propagation method (FD-BPM), the structure parameters of the wavelength demultiplexers were also designed and optimized. At last, the tolerance, excellence and disadvantage of the wavelength demultiplexers were analyzed and compared.
本文介绍了两种工作频率为1.3 μ m /1的对偶和斜面结构的波长解复用器。55µm。利用有限差分波束传播方法(FD-BPM)分别模拟和分析了波长解复用器的各种状态，并对波长解复用器的结构参数进行了设计和优化。最后，对各种波长解复用器的容差、优缺点进行了分析比较。
{"title":"Design and comparison of two kinds of silicon-on-insulator wavelength demultiplexers based on multimode interference","authors":"Xiaoling Jia, Zhifeng Zhang","doi":"10.1109/ICESIT53460.2021.9696999","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696999","url":null,"abstract":"In this paper two kinds of wavelength demultiplexers with paired and beveled structures that work at 1.3µm /1. 55µm were presented. The various states of the wavelength demultiplexers were simulated and analyzed respectively using the finite difference beam propagation method (FD-BPM), the structure parameters of the wavelength demultiplexers were also designed and optimized. At last, the tolerance, excellence and disadvantage of the wavelength demultiplexers were analyzed and compared.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126896888","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}
Pub Date : 2021-11-22DOI: 10.1109/ICESIT53460.2021.9696690
Su Liu, Jike Ge, W. Cheng, Chengzhi Wu, T. Hu, Haoyin Liu
In order to achieve the security and efficiency of data transmission in Wireless Sensor Networks(WSN), this paper improves the routing protocol based on pheromone concentration factor in ant colony algorithm. By introducing the comprehensive trust degree, this problem is transformed into a combinatorial optimization problem to balance the relationship among node trust value, node energy and link quality, so as to find the comprehensive optimal path. Unlike ordinary wireless routing protocols, this paper also takes into account the security of routing transmission, the load of the overall system, and the stability of message transmission. At the same time, in the routing maintenance part, it can also make use of the trend of trust value slowly decreasing to quickly adjust the nodes with insufficient energy or low trust in the system. Through experimental test and analysis, the improved routing protocol greatly promotes the efficiency of data transmission in WSN, thus prolonging the network life cycle.
{"title":"Research on WSN Routing Based on Pheromone Factor of Improved Ant Colony Algorithm","authors":"Su Liu, Jike Ge, W. Cheng, Chengzhi Wu, T. Hu, Haoyin Liu","doi":"10.1109/ICESIT53460.2021.9696690","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696690","url":null,"abstract":"In order to achieve the security and efficiency of data transmission in Wireless Sensor Networks(WSN), this paper improves the routing protocol based on pheromone concentration factor in ant colony algorithm. By introducing the comprehensive trust degree, this problem is transformed into a combinatorial optimization problem to balance the relationship among node trust value, node energy and link quality, so as to find the comprehensive optimal path. Unlike ordinary wireless routing protocols, this paper also takes into account the security of routing transmission, the load of the overall system, and the stability of message transmission. At the same time, in the routing maintenance part, it can also make use of the trend of trust value slowly decreasing to quickly adjust the nodes with insufficient energy or low trust in the system. Through experimental test and analysis, the improved routing protocol greatly promotes the efficiency of data transmission in WSN, thus prolonging the network life cycle.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121382852","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}
Pub Date : 2021-11-22DOI: 10.1109/ICESIT53460.2021.9697056
Li Yansong, Zhang Ligang
This The 5G era brings unprecedented opportunities and challenges to the online community marketing. This paper starts from the definition of the online community marketing, and thinking about the influence of 5G on the online community marketing. Based on the features of 5G, we try to build the model of the online community marketing in the 5G digital economic era. We explain the model from five aspects, data based, technology driven, seize the mind with precision, immersive experience, capture the audience in an all-round way in order to help enterprises to build a healthy online community marketing business ecological closed loop.
{"title":"Big Data Analysis on Online Platform Model Based on 5G Technology","authors":"Li Yansong, Zhang Ligang","doi":"10.1109/ICESIT53460.2021.9697056","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9697056","url":null,"abstract":"This The 5G era brings unprecedented opportunities and challenges to the online community marketing. This paper starts from the definition of the online community marketing, and thinking about the influence of 5G on the online community marketing. Based on the features of 5G, we try to build the model of the online community marketing in the 5G digital economic era. We explain the model from five aspects, data based, technology driven, seize the mind with precision, immersive experience, capture the audience in an all-round way in order to help enterprises to build a healthy online community marketing business ecological closed loop.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127937986","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}
Pub Date : 2021-11-22DOI: 10.1109/ICESIT53460.2021.9696918
Sheng Li, Haoze Li, Zhijun Wu, Guangjie Bao, K. Qian, Yafei Li
A simple foreign object detection (FOD) method for LCC-S wireless power transfer (WPT) system utilizing the long short-term memory (LSTM) is proposed. In this paper, the WPT charging system which was built for electronic devices resonates around 199 kHz. At different distances and misalignment, it was tested with and without the presence of the foreign object (a beverage can). The long short-term memory based FOD method is validated, which only requires the measurement of primary inverter currents in the introduced WPT system. The proposed approach achieves good performance on the low power WPT system with an accuracy of about 95%.
{"title":"Foreign Object Detection for LCC-S Wireless Power Transfer System Based on LSTM","authors":"Sheng Li, Haoze Li, Zhijun Wu, Guangjie Bao, K. Qian, Yafei Li","doi":"10.1109/ICESIT53460.2021.9696918","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696918","url":null,"abstract":"A simple foreign object detection (FOD) method for LCC-S wireless power transfer (WPT) system utilizing the long short-term memory (LSTM) is proposed. In this paper, the WPT charging system which was built for electronic devices resonates around 199 kHz. At different distances and misalignment, it was tested with and without the presence of the foreign object (a beverage can). The long short-term memory based FOD method is validated, which only requires the measurement of primary inverter currents in the introduced WPT system. The proposed approach achieves good performance on the low power WPT system with an accuracy of about 95%.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115892749","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}
Pub Date : 2021-11-22DOI: 10.1109/ICESIT53460.2021.9696483
Lijuan Chen
Since entering the information age, the flood of network information has caused many computer network security problems. This paper expounds an overview of the information age and computer network security problems, and proposes measures to deal with the computer network security problems in the information age.
{"title":"Discussion of Computer Network and Electronic Communication Security in the Age of Information Digitization","authors":"Lijuan Chen","doi":"10.1109/ICESIT53460.2021.9696483","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696483","url":null,"abstract":"Since entering the information age, the flood of network information has caused many computer network security problems. This paper expounds an overview of the information age and computer network security problems, and proposes measures to deal with the computer network security problems in the information age.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131502427","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}
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