Pub Date : 2019-12-01DOI: 10.1109/IAEAC47372.2019.8997952
Hong Wang, Xiaobo Zhou, Guofei Zhou
In the coherent demodulation of the FM signal, an uncertain frequency deviation exists between the demodulated carrier and the modulated carrier, which will generate a direct-current (DC) offset in the demodulation signal and directly affect the performance of the system. An adaptive interference cancellation method based on least mean square (LMS) is proposed to eliminate the DC offset in this paper. Compared with the method of filtering the DC offset by using a high-pass filter, the LMS algorithm has low latency and low implementation cost. The method is implemented and verified on the field-programmable-gate-array (FPGA) platform by hardware description language. Simulation results show that the LMS algorithm can eliminate the DC offset from the demodulated signal within 1.5ms.
{"title":"Application of an Adaptive Direct Current Offset Elimination Algorithm Based on FPGA in Orthogonal Demodulation","authors":"Hong Wang, Xiaobo Zhou, Guofei Zhou","doi":"10.1109/IAEAC47372.2019.8997952","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997952","url":null,"abstract":"In the coherent demodulation of the FM signal, an uncertain frequency deviation exists between the demodulated carrier and the modulated carrier, which will generate a direct-current (DC) offset in the demodulation signal and directly affect the performance of the system. An adaptive interference cancellation method based on least mean square (LMS) is proposed to eliminate the DC offset in this paper. Compared with the method of filtering the DC offset by using a high-pass filter, the LMS algorithm has low latency and low implementation cost. The method is implemented and verified on the field-programmable-gate-array (FPGA) platform by hardware description language. Simulation results show that the LMS algorithm can eliminate the DC offset from the demodulated signal within 1.5ms.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"42 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116728599","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 : 2019-12-01DOI: 10.1109/IAEAC47372.2019.8998051
Shuliang Qiu, Ruifu Song, Zhenye Qi, Zhizheng Du, Rui Tao, Ziyuan Zhang, Baoying Zhu, Yan Zhang
Environmental protection has attracted increasing attention. Coal-fired boilers, as one of the main sources of nitrogen oxides, have adopted low-nitrogen combustion technology in large-scale coal-fired boilers and promoted denitrification technology in order to reduce the emission of NOx. This paper introduces the energy-saving and automatic control technology of the denitrification system after furnace and its subsidiary equipment. Emphasis is laid on the realization of NOx closed-loop control by using open external advanced control system and large data artificial intelligence prediction.
{"title":"Research and Application of Automatic Control of Ammonia Injection in Power Plant Based on Artificial Intelligence","authors":"Shuliang Qiu, Ruifu Song, Zhenye Qi, Zhizheng Du, Rui Tao, Ziyuan Zhang, Baoying Zhu, Yan Zhang","doi":"10.1109/IAEAC47372.2019.8998051","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8998051","url":null,"abstract":"Environmental protection has attracted increasing attention. Coal-fired boilers, as one of the main sources of nitrogen oxides, have adopted low-nitrogen combustion technology in large-scale coal-fired boilers and promoted denitrification technology in order to reduce the emission of NOx. This paper introduces the energy-saving and automatic control technology of the denitrification system after furnace and its subsidiary equipment. Emphasis is laid on the realization of NOx closed-loop control by using open external advanced control system and large data artificial intelligence prediction.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"286 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114049034","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 : 2019-12-01DOI: 10.1109/IAEAC47372.2019.8998022
Jiaying Kong, Zhaoyang Ye, Yiyang Zhou, Ying Jiang
The spread of opioid crisis has posed many negative impacts on the society of the United State and attracts the attention of the US government and many relevant organizations to mitigate the increasing of drug abuse. This passage mainly describe the spreading trend of opioid crisis between five states/counties and analyze the important social and economic data of America to identify some important influential factors. In this way, an optimized spreading model based on cellular automata with the combination of life-cycle graph of the four stages in spreading process can be achieved and the exact starting point of each state can be known. With the factor analyze of socio-economic information extracted from the U.S. Census Bureau,the characteristics and idiosyncrasy of people who commonly get drug abusing problems can be identified And with more factors taken into consideration the spreading model can be optimized with multi-layer factors so that more strategies can be made to help restricting the drug abuse.
{"title":"The spreading process identification and influential factors analyze of the American opioid crisis based on big data","authors":"Jiaying Kong, Zhaoyang Ye, Yiyang Zhou, Ying Jiang","doi":"10.1109/IAEAC47372.2019.8998022","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8998022","url":null,"abstract":"The spread of opioid crisis has posed many negative impacts on the society of the United State and attracts the attention of the US government and many relevant organizations to mitigate the increasing of drug abuse. This passage mainly describe the spreading trend of opioid crisis between five states/counties and analyze the important social and economic data of America to identify some important influential factors. In this way, an optimized spreading model based on cellular automata with the combination of life-cycle graph of the four stages in spreading process can be achieved and the exact starting point of each state can be known. With the factor analyze of socio-economic information extracted from the U.S. Census Bureau,the characteristics and idiosyncrasy of people who commonly get drug abusing problems can be identified And with more factors taken into consideration the spreading model can be optimized with multi-layer factors so that more strategies can be made to help restricting the drug abuse.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125279981","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 incident management process, IT service management (ITSM) system usually sets up a dispatch center and full-time dispatchers to assign service orders to engineers. The assigning process has problems such as low efficiency and poor standardization. Aiming at these problems, We propose an auto-assignment model (AMM) of service orders for IT service management systems. Based on the actual business scenarios, the AMM model focuses on several factors such as attributes of service orders, responsibilities of roles, interests of candidates, load of candidates, social relationships between candidates, and attendance information of candidates. In addition, based on the auto-assignment model, we propose an auto-assignment method of service orders based on rule reasoning (AAM-RR). The analysis results of factors such as accuracy, coverage and time show that the AAM-RR can solve the problem of service orders’ automatic assignment in IT service management system.
{"title":"The Research on Auto-Assignment Method of Service Orders Based on Rule Reasoning","authors":"Danping Li, Guihua Wang, Congmin Huang, Shukun Liu, Weiyan Zhang","doi":"10.1109/IAEAC47372.2019.8997785","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997785","url":null,"abstract":"In incident management process, IT service management (ITSM) system usually sets up a dispatch center and full-time dispatchers to assign service orders to engineers. The assigning process has problems such as low efficiency and poor standardization. Aiming at these problems, We propose an auto-assignment model (AMM) of service orders for IT service management systems. Based on the actual business scenarios, the AMM model focuses on several factors such as attributes of service orders, responsibilities of roles, interests of candidates, load of candidates, social relationships between candidates, and attendance information of candidates. In addition, based on the auto-assignment model, we propose an auto-assignment method of service orders based on rule reasoning (AAM-RR). The analysis results of factors such as accuracy, coverage and time show that the AAM-RR can solve the problem of service orders’ automatic assignment in IT service management system.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131235146","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 : 2019-12-01DOI: 10.1109/IAEAC47372.2019.8997642
W. Shi, Heng Liu
In this paper, to improve the accuracy of detection and segmentation, we modify U-Net architecture to address ischemic stroke segmentation and detection, from ISLES 2018 dataset. In this dataset, CT images (in five modalities) and corresponding ground truth created by combining manual annotations are provided. We use shortcut connections in the architecture, which performs as a residual block. In the meantime, to reduce the overfitting caused by the scarcity of training data, we use elementwise-sum and concatenation in the network. We also use the dice coefficient and the Jaccard index to assess our model. Our architecture can be applied to ischemic segmentation and detection of CT images easily by choosing suitable hyperparameters. Experiment results show that our model can segment ischemic stroke accurately, with the dice coefficient between the segmentation given by our network and ground truth is about 0.77 while the dice coefficient of U-Net is about 0.74.
{"title":"Modified U-Net Architecture for Ischemic Stroke Lesion Segmentation and Detection","authors":"W. Shi, Heng Liu","doi":"10.1109/IAEAC47372.2019.8997642","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997642","url":null,"abstract":"In this paper, to improve the accuracy of detection and segmentation, we modify U-Net architecture to address ischemic stroke segmentation and detection, from ISLES 2018 dataset. In this dataset, CT images (in five modalities) and corresponding ground truth created by combining manual annotations are provided. We use shortcut connections in the architecture, which performs as a residual block. In the meantime, to reduce the overfitting caused by the scarcity of training data, we use elementwise-sum and concatenation in the network. We also use the dice coefficient and the Jaccard index to assess our model. Our architecture can be applied to ischemic segmentation and detection of CT images easily by choosing suitable hyperparameters. Experiment results show that our model can segment ischemic stroke accurately, with the dice coefficient between the segmentation given by our network and ground truth is about 0.77 while the dice coefficient of U-Net is about 0.74.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131252827","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 : 2019-12-01DOI: 10.1109/IAEAC47372.2019.8997942
Chenyu Hu
During the operation of AC/DC interconnected power grids, small signal instability of low frequency oscillation between regions is prone to occur. In this paper, distributed power flow controller is applied to improve the small signal stability of the power system. In order to ensure the distributed power flow controller to control the flow of the target line in the small signal stability range, a method for determining target parameters of distributed power flow controller is presented. This method combines power flow calculation model with active power optimal dispatch and small signal calculation. And an integrated scheduling equation with small signal stability constraints will be formed. Solve this equation to get the control target parameters of distributed power flow controller. Meanwhile, the PSASP is used to simulate and verify CEPRI7V7 system with the distributed power flow controller. The results show that the proposed method can improve the stability of small signal in the system.
{"title":"Research on Damping of Low Frequency Oscillation with Distributed Power Flow Controller","authors":"Chenyu Hu","doi":"10.1109/IAEAC47372.2019.8997942","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997942","url":null,"abstract":"During the operation of AC/DC interconnected power grids, small signal instability of low frequency oscillation between regions is prone to occur. In this paper, distributed power flow controller is applied to improve the small signal stability of the power system. In order to ensure the distributed power flow controller to control the flow of the target line in the small signal stability range, a method for determining target parameters of distributed power flow controller is presented. This method combines power flow calculation model with active power optimal dispatch and small signal calculation. And an integrated scheduling equation with small signal stability constraints will be formed. Solve this equation to get the control target parameters of distributed power flow controller. Meanwhile, the PSASP is used to simulate and verify CEPRI7V7 system with the distributed power flow controller. The results show that the proposed method can improve the stability of small signal in the system.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"72 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131592942","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 : 2019-12-01DOI: 10.1109/IAEAC47372.2019.8997538
Xu Zhang, Baojian Ji, Feng Hong
In view of the application of current equipment in Beidou satellite and other aerospace fields, a power-off punctual system with STM32F103 and AD7280A as the core was designed. When the main power supply was cut off, the lithium battery pack continued to supply power and ensured that the output remained stable during the switching process. Used LTC4359 and MOSFET to build switching circuit, realized stable switching of power supply-battery, battery-power input and make system anti-backflow. The AD7280A was used to collect each lithium-ion battery voltage and temperature and the current sampling circuit was used to accurately measure the battery parameters. Based on this, the battery voltage was used as the equilibrium criterion to achieve battery equalization; and combining open circuit voltage (OCV) method with ampere-hour integral method for SOC initial value correction and estimation. The experiment proves that the system achieves stable switching, the equalization error is less than 50mV, and the SOC estimation error is less than 2.3%.
{"title":"Power off Punctuality and Lithium Battery Pack Equalization Method based on STM32+AD7280A","authors":"Xu Zhang, Baojian Ji, Feng Hong","doi":"10.1109/IAEAC47372.2019.8997538","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997538","url":null,"abstract":"In view of the application of current equipment in Beidou satellite and other aerospace fields, a power-off punctual system with STM32F103 and AD7280A as the core was designed. When the main power supply was cut off, the lithium battery pack continued to supply power and ensured that the output remained stable during the switching process. Used LTC4359 and MOSFET to build switching circuit, realized stable switching of power supply-battery, battery-power input and make system anti-backflow. The AD7280A was used to collect each lithium-ion battery voltage and temperature and the current sampling circuit was used to accurately measure the battery parameters. Based on this, the battery voltage was used as the equilibrium criterion to achieve battery equalization; and combining open circuit voltage (OCV) method with ampere-hour integral method for SOC initial value correction and estimation. The experiment proves that the system achieves stable switching, the equalization error is less than 50mV, and the SOC estimation error is less than 2.3%.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115140709","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 : 2019-12-01DOI: 10.1109/IAEAC47372.2019.8997748
Kai Liu, Guanghe Cheng, Zhigang Kong
Beidou satellite navigation system is a new generation satellite positioning real-time system independently developed by China. It is one of the four navigation systems in the world. When working on farmland in oversized plots, due to the lack of boundary markers, it is difficult for agricultural machinery navigation to run in a straight line. At the same time, because of the large operating area, agricultural operators are prone to fatigue. The use of automatic navigation technology can assist the agricultural machinery to run in a straight line, and solve the problem of "not straight and unacceptable." "The problem, at the same time, also reduces the workload of agricultural operators, and eases the fatigue of agricultural operators. Auto-navigation also works at night, regardless of lighting conditions. This paper is aimed at the problem of traditional agriculture, and developed the automatic driving algorithm of Beidou agricultural machinery.
{"title":"Agricultural Machinery Automatic Driving Algorithm Based on Beidou System","authors":"Kai Liu, Guanghe Cheng, Zhigang Kong","doi":"10.1109/IAEAC47372.2019.8997748","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997748","url":null,"abstract":"Beidou satellite navigation system is a new generation satellite positioning real-time system independently developed by China. It is one of the four navigation systems in the world. When working on farmland in oversized plots, due to the lack of boundary markers, it is difficult for agricultural machinery navigation to run in a straight line. At the same time, because of the large operating area, agricultural operators are prone to fatigue. The use of automatic navigation technology can assist the agricultural machinery to run in a straight line, and solve the problem of \"not straight and unacceptable.\" \"The problem, at the same time, also reduces the workload of agricultural operators, and eases the fatigue of agricultural operators. Auto-navigation also works at night, regardless of lighting conditions. This paper is aimed at the problem of traditional agriculture, and developed the automatic driving algorithm of Beidou agricultural machinery.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128116491","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 : 2019-12-01DOI: 10.1109/IAEAC47372.2019.8997685
M. Xie, Zheng He, Lei Liang, Zhixiang Wu, G. Sun
Slope disasters are extremely destructive and pose a serious threat to human life and property safety. The conventional communication method (2G/3G/4G) of slope disaster monitoring has large power consumption and high cost. In addition, the warning indexes for slope instability are single and inaccurate. In order to solve the above problems, this paper develops an automatic monitoring and early warning system based on 3D-MEMS acceleration sensing and NB-IoT transmission technology. It includes intelligent sensor acquisition subsystem, data transmission subsystem, photovoltaic self- powered subsystem, data reception and analysis subsystem. Moreover, the successful on-site application of the Hong'en Temple Tunnel entrance slope in Chongqing, China, shows that the system can stably collect and transmit multi-source monitoring data, and the data change trend is consistent with the slope actual state. This system provides multi-source early warning indexes acquisition method and new data transmission scheme for slope disasters.
{"title":"Slope disaster monitoring and early warning system based on 3D-MEMS and NB-IoT","authors":"M. Xie, Zheng He, Lei Liang, Zhixiang Wu, G. Sun","doi":"10.1109/IAEAC47372.2019.8997685","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997685","url":null,"abstract":"Slope disasters are extremely destructive and pose a serious threat to human life and property safety. The conventional communication method (2G/3G/4G) of slope disaster monitoring has large power consumption and high cost. In addition, the warning indexes for slope instability are single and inaccurate. In order to solve the above problems, this paper develops an automatic monitoring and early warning system based on 3D-MEMS acceleration sensing and NB-IoT transmission technology. It includes intelligent sensor acquisition subsystem, data transmission subsystem, photovoltaic self- powered subsystem, data reception and analysis subsystem. Moreover, the successful on-site application of the Hong'en Temple Tunnel entrance slope in Chongqing, China, shows that the system can stably collect and transmit multi-source monitoring data, and the data change trend is consistent with the slope actual state. This system provides multi-source early warning indexes acquisition method and new data transmission scheme for slope disasters.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132745757","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 : 2019-12-01DOI: 10.1109/IAEAC47372.2019.8997601
Decai Wang, Shuai Zhang, Qin Li
In this study, we first present a coherent optical orthogonal frequency division multiplexing (CO-OFDM) system We then proposed an efficient improved LDPC coding method to further improve the performance of the system. The results show that a CO-OFDM system use of the different combination of coding and modulation modes has great influence on the transmission capacity, bit error rate, optical signal-to-noise ratio and anti-dispersion ability of the system.
{"title":"An Improved Coding Modulated in CO-OFDM system and its Performance Analysis","authors":"Decai Wang, Shuai Zhang, Qin Li","doi":"10.1109/IAEAC47372.2019.8997601","DOIUrl":"https://doi.org/10.1109/IAEAC47372.2019.8997601","url":null,"abstract":"In this study, we first present a coherent optical orthogonal frequency division multiplexing (CO-OFDM) system We then proposed an efficient improved LDPC coding method to further improve the performance of the system. The results show that a CO-OFDM system use of the different combination of coding and modulation modes has great influence on the transmission capacity, bit error rate, optical signal-to-noise ratio and anti-dispersion ability of the system.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"27 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133423791","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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