Pub Date : 2021-11-22DOI: 10.1109/ICESIT53460.2021.9696674
C. Hao, Yi Liming, Xu Zhengtao, Fang Qing
In the design of 500kV ultra-high voltage transmission towers in mountainous areas, the choice of tower slope will affect the size of the tower's root opening, thereby affecting the applicability of the tower in mountainous areas. At the same time, the choice of tower slope will also cause the tower weight and foundation force to be generated. Differences, thereby affecting the construction cost of the project. Combining actual engineering, taking a 20mm ice zone 53ZBC33 tower type for a 500kV line project as an example, a total of 8 different slopes of 0.09~0.16 for transmission towers of 60m, 54m, 48m, and 42m are calculated. The tower is used as an example. Steel quantity cost, foundation cost, and tower foundation land compensation fee are used as indicators to compare and analyze the project cost. When the calling height of the transmission tower is different, the corresponding economic slope is slightly different, but the overall economic slope fluctuates in the range of 0.10~0.13. In the actual design process, the economic slope of the tower can be quickly calculated in the slope range of 0.10~0.13.
{"title":"Study on computer modeling and calculation of 500kV ultra-high voltage transmission towers","authors":"C. Hao, Yi Liming, Xu Zhengtao, Fang Qing","doi":"10.1109/ICESIT53460.2021.9696674","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696674","url":null,"abstract":"In the design of 500kV ultra-high voltage transmission towers in mountainous areas, the choice of tower slope will affect the size of the tower's root opening, thereby affecting the applicability of the tower in mountainous areas. At the same time, the choice of tower slope will also cause the tower weight and foundation force to be generated. Differences, thereby affecting the construction cost of the project. Combining actual engineering, taking a 20mm ice zone 53ZBC33 tower type for a 500kV line project as an example, a total of 8 different slopes of 0.09~0.16 for transmission towers of 60m, 54m, 48m, and 42m are calculated. The tower is used as an example. Steel quantity cost, foundation cost, and tower foundation land compensation fee are used as indicators to compare and analyze the project cost. When the calling height of the transmission tower is different, the corresponding economic slope is slightly different, but the overall economic slope fluctuates in the range of 0.10~0.13. In the actual design process, the economic slope of the tower can be quickly calculated in the slope range of 0.10~0.13.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"9 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":"115670626","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/ICESIT53460.2021.9696652
Xin Xia, Chuanliang He, Bo Zhang, Shouzhi Wang
Design and research the sensing terminal system of mass transmission equipment, adopting modular design, including sensing modules. The system has a data analysis module and a protocol analysis module, which are sensed through image acquisition module, positioning module, temperature and humidity detection module and other perception modules. The terminal is connected to the user's mobile terminal through the Bluetooth module, 4G module, and server. The measurement equipment sensing terminal system has functions such as basic file sorting, physical and geographic topology information upload, hierarchical line loss accounting, metering box and power meter power outage report, early warning report of suspected electricity theft, environmental temperature and humidity monitoring, etc.
{"title":"Research on the Computer Aided Design of Sensing Terminal System for Mass Transmission Equipment","authors":"Xin Xia, Chuanliang He, Bo Zhang, Shouzhi Wang","doi":"10.1109/ICESIT53460.2021.9696652","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696652","url":null,"abstract":"Design and research the sensing terminal system of mass transmission equipment, adopting modular design, including sensing modules. The system has a data analysis module and a protocol analysis module, which are sensed through image acquisition module, positioning module, temperature and humidity detection module and other perception modules. The terminal is connected to the user's mobile terminal through the Bluetooth module, 4G module, and server. The measurement equipment sensing terminal system has functions such as basic file sorting, physical and geographic topology information upload, hierarchical line loss accounting, metering box and power meter power outage report, early warning report of suspected electricity theft, environmental temperature and humidity monitoring, etc.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"18 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":"114657252","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/ICESIT53460.2021.9696813
Jiang Xiangjian
With the rapid development of economics, consumer lending and trust loan have gained unprecedented growth all over the world. Due to the serious consequence of borrowers' breach of contract, banks need a valid method to help managing credit risk. Till now, the most common way is to set up blacklist and whitelist according to previous loan records to assist bank in deciding whether to offer loan to someone or not. In other words, there is a fixed threshold to filter customers. Once borrower has a number of violations beyond the threshold, the bank will add him into the blacklist which means the man cannot get debt in the future according to his poor credit. This simple method may be useful but it also has some inevitable downsides resulting from its empirical nature. For instance, this approach still needs to be conducted with countless bank workers, accounting for its failure in satisfying soaring need in current changeable loan scenario. Meanwhile, the manually set threshold is not sensitive to massive data, which is more than unavoidable in today's life. To the best of our knowledge, machine learning methods are suitable to deal with huge amount of data and make accurate predictions. Considering the characteristics in consumer lending and trust loan, we put forward a new algorithm model implemented with machine learning knowledge to determine whether or not a loan should be granted. The method contains some cutting-edge machine learning ideas such as tree model and neural network. This new credit scoring framework can solve above problems effectively and control the expenditure within an acceptable range. In the experiments, we evaluate our method extensively on bank credit dataset, and the results demonstrate that it outperforms most credit scoring and risk prediction methods, achieving an AUC of 0.840 on the Test Set.
{"title":"Research on Computer Intelligent Risk Prediction Model and Identification Algorithm with Machine Learning","authors":"Jiang Xiangjian","doi":"10.1109/ICESIT53460.2021.9696813","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696813","url":null,"abstract":"With the rapid development of economics, consumer lending and trust loan have gained unprecedented growth all over the world. Due to the serious consequence of borrowers' breach of contract, banks need a valid method to help managing credit risk. Till now, the most common way is to set up blacklist and whitelist according to previous loan records to assist bank in deciding whether to offer loan to someone or not. In other words, there is a fixed threshold to filter customers. Once borrower has a number of violations beyond the threshold, the bank will add him into the blacklist which means the man cannot get debt in the future according to his poor credit. This simple method may be useful but it also has some inevitable downsides resulting from its empirical nature. For instance, this approach still needs to be conducted with countless bank workers, accounting for its failure in satisfying soaring need in current changeable loan scenario. Meanwhile, the manually set threshold is not sensitive to massive data, which is more than unavoidable in today's life. To the best of our knowledge, machine learning methods are suitable to deal with huge amount of data and make accurate predictions. Considering the characteristics in consumer lending and trust loan, we put forward a new algorithm model implemented with machine learning knowledge to determine whether or not a loan should be granted. The method contains some cutting-edge machine learning ideas such as tree model and neural network. This new credit scoring framework can solve above problems effectively and control the expenditure within an acceptable range. In the experiments, we evaluate our method extensively on bank credit dataset, and the results demonstrate that it outperforms most credit scoring and risk prediction methods, achieving an AUC of 0.840 on the Test Set.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"111 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":"116914714","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}
For the cross-border tracking needs of target persons in real complex scenes, a person re-identification algorithm based on a multi-module convolution neural network is proposed to solve the problem of person search and matching caused by person scale change, light change, posture change and other factors in the real environment. The algorithm takes ResNet50 as the backbone network of feature extraction. The STN network module is embedded into the backbone network to overcome the impact of person scale change. The IBN network module is integrated for person image color correction to compensate for the influence of illumination change in the real scene. And A person multi-branch feature extraction module is designed to effectively reduce the impact of person posture changes. Through person image feature expression and measurement learning calculation, person similarity matching across cameras is realized. Experiments show that this method has good performance in real complex scene test data, and its Rank-1 and mAP are 98.30% and 95.78% respectively. It can be used for person matching and search in a real complex environment, and has certain practical value.
{"title":"Person re-identification algorithm based on multi-module convolutional neural network","authors":"Huan Lei, Zeyu Jiao, Junhao Lin, Zaili Chen, Chentong Li, Z. Zhong","doi":"10.1109/ICESIT53460.2021.9696542","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696542","url":null,"abstract":"For the cross-border tracking needs of target persons in real complex scenes, a person re-identification algorithm based on a multi-module convolution neural network is proposed to solve the problem of person search and matching caused by person scale change, light change, posture change and other factors in the real environment. The algorithm takes ResNet50 as the backbone network of feature extraction. The STN network module is embedded into the backbone network to overcome the impact of person scale change. The IBN network module is integrated for person image color correction to compensate for the influence of illumination change in the real scene. And A person multi-branch feature extraction module is designed to effectively reduce the impact of person posture changes. Through person image feature expression and measurement learning calculation, person similarity matching across cameras is realized. Experiments show that this method has good performance in real complex scene test data, and its Rank-1 and mAP are 98.30% and 95.78% respectively. It can be used for person matching and search in a real complex environment, and has certain practical value.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"1 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":"116310655","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/ICESIT53460.2021.9696835
Liwei Liu, Daming Qu, Alin Hou
The accurate segmentation of the lesion area is of great significance to the actual medical treatment. However, the segmentation results of the current segmentation network are not accurate enough to provide guidance for actual medical treatment. To solve this problem, a improved U-Net segmentation network is proposed. Firstly. The residual module and new attention mechanism are introduced to optimize the encoder, and 2×2 convolution is used instead of pooling operation, which can refine and extract features while retaining spatial feature information. Secondly, the attention mechanism is introduced before the upsampling jump connection, so that the network pays attention to the spatial information of the low-level feature map. The improved U-Net segmentation network was evaluated on the LiTS datasets. Compared with the traditional If-Net, the Dice coefficient and recall rate are increased by 5.6% and 3.03 % respectively in the liver segmentation task, the Dice coefficient and recall rate are increased by 7.51% and 8.8% respectively in the liver tumor segmentation task.
{"title":"A semantic segmentation algorithm supported by image processing and neural network","authors":"Liwei Liu, Daming Qu, Alin Hou","doi":"10.1109/ICESIT53460.2021.9696835","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696835","url":null,"abstract":"The accurate segmentation of the lesion area is of great significance to the actual medical treatment. However, the segmentation results of the current segmentation network are not accurate enough to provide guidance for actual medical treatment. To solve this problem, a improved U-Net segmentation network is proposed. Firstly. The residual module and new attention mechanism are introduced to optimize the encoder, and 2×2 convolution is used instead of pooling operation, which can refine and extract features while retaining spatial feature information. Secondly, the attention mechanism is introduced before the upsampling jump connection, so that the network pays attention to the spatial information of the low-level feature map. The improved U-Net segmentation network was evaluated on the LiTS datasets. Compared with the traditional If-Net, the Dice coefficient and recall rate are increased by 5.6% and 3.03 % respectively in the liver segmentation task, the Dice coefficient and recall rate are increased by 7.51% and 8.8% respectively in the liver tumor segmentation task.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"42 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":"115656707","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/ICESIT53460.2021.9696640
Fang Binhao, Huang Hong, Zhou Ziyun
Detecting abnormal traffic in real life often requires analyzing massive data (high-dimensional data) and unbalanced data. Aiming at the above problems, an intrusion detection model (SMBR-XGBDT) based on the combination of SMOTE algorithm and Boruta algorithm with Extreme Gradient Boosting (XGBoost) algorithm is proposed. The experiment selected 14367 extremely unbalanced samples based on the CIRA-CIC-DoHBrw-2020 data set, and detected 4 categories: DOH, Non-DoH, Benign-DoH, Malicious-DoH, using decision tree algorithm, random forest Algorithm, XGBoost algorithm as a control. The experimental results show that the SMBR-XGBDT model is significantly better than the other three models. The precision, recall, and F1 scores of the overall test were 93%, 93 %, and 93 %, respectively, which verified the effectiveness of the method. The precision rates of DOH, Non-DoH, Benign-DoH, Malicious-DoH were 88%, 100%, 98%, and 87%, respectively, which verified the feasibility of the method to deal with unbalanced data.
{"title":"Improve the Application of XGBDT in Network Abnormal Traffic Detection","authors":"Fang Binhao, Huang Hong, Zhou Ziyun","doi":"10.1109/ICESIT53460.2021.9696640","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696640","url":null,"abstract":"Detecting abnormal traffic in real life often requires analyzing massive data (high-dimensional data) and unbalanced data. Aiming at the above problems, an intrusion detection model (SMBR-XGBDT) based on the combination of SMOTE algorithm and Boruta algorithm with Extreme Gradient Boosting (XGBoost) algorithm is proposed. The experiment selected 14367 extremely unbalanced samples based on the CIRA-CIC-DoHBrw-2020 data set, and detected 4 categories: DOH, Non-DoH, Benign-DoH, Malicious-DoH, using decision tree algorithm, random forest Algorithm, XGBoost algorithm as a control. The experimental results show that the SMBR-XGBDT model is significantly better than the other three models. The precision, recall, and F1 scores of the overall test were 93%, 93 %, and 93 %, respectively, which verified the effectiveness of the method. The precision rates of DOH, Non-DoH, Benign-DoH, Malicious-DoH were 88%, 100%, 98%, and 87%, respectively, which verified the feasibility of the method to deal with unbalanced data.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"2 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":"115038013","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/ICESIT53460.2021.9696844
Chen Chen, Yan-li Hou, Lianglong Li, Tao Jiang
This paper investigate a newly fault diagnosis system and trainee system based on 3D draft software. Compared to traditional fault diagnosis system, a system established on 3D software enables user easily to control manipulating system and aware of rate of process. In this paper, it firstly lists advantage and disadvantage of traditional fault diagnosis system, secondly introduces 3D draft software and practical application, lastly discusses benefit when combines 3D draft in fault diagnosis.
{"title":"Study and Design an Equipment-fault-diagnosis System Based on 3D Draft Software","authors":"Chen Chen, Yan-li Hou, Lianglong Li, Tao Jiang","doi":"10.1109/ICESIT53460.2021.9696844","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696844","url":null,"abstract":"This paper investigate a newly fault diagnosis system and trainee system based on 3D draft software. Compared to traditional fault diagnosis system, a system established on 3D software enables user easily to control manipulating system and aware of rate of process. In this paper, it firstly lists advantage and disadvantage of traditional fault diagnosis system, secondly introduces 3D draft software and practical application, lastly discusses benefit when combines 3D draft in fault diagnosis.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"24 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":"124100709","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/ICESIT53460.2021.9696810
Xiaoliang Zhang, Jun-ming Zhang, Jiangqiao Li, Limin Zhang, Nan Zou
The underwater acoustic location technique takes advantage of the long-distance propagation of underwater sound wave. With the help of transponder array, buoy or base array which placed in the already known position underwater, on the water or on hull, it can measure the propagation delay, phase difference and more of the acoustic signals that emitted by the target and the location of the target is calculated through geometrical principles. For systems operating at higher frequencies, due to the limitation of physical processes, the spacing of array elements is difficult to satisfy the constraint of half-wave spacing, and the traditional anti-phase ambiguity method is invalid. In order to solve this problem, an anti-phase ambiguity algorithm based on maximum a posterior criterion is investigated. After analyzing the feasibility of the algorithm in theory, the engineering implementation method is given. Then we discuss the influence of array on this method, and verify the accuracy of the method by simulation.
{"title":"Research on Anti-Phase Ambiguity Method for High Frame Rate Ultra-Short Baseline Location System","authors":"Xiaoliang Zhang, Jun-ming Zhang, Jiangqiao Li, Limin Zhang, Nan Zou","doi":"10.1109/ICESIT53460.2021.9696810","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696810","url":null,"abstract":"The underwater acoustic location technique takes advantage of the long-distance propagation of underwater sound wave. With the help of transponder array, buoy or base array which placed in the already known position underwater, on the water or on hull, it can measure the propagation delay, phase difference and more of the acoustic signals that emitted by the target and the location of the target is calculated through geometrical principles. For systems operating at higher frequencies, due to the limitation of physical processes, the spacing of array elements is difficult to satisfy the constraint of half-wave spacing, and the traditional anti-phase ambiguity method is invalid. In order to solve this problem, an anti-phase ambiguity algorithm based on maximum a posterior criterion is investigated. After analyzing the feasibility of the algorithm in theory, the engineering implementation method is given. Then we discuss the influence of array on this method, and verify the accuracy of the method by simulation.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"10 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":"130591018","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/ICESIT53460.2021.9696488
Pan Feng, Qu Qiang
This article systematically discusses the importance of the ecological environment dynamic monitoring and management information system, the goals, principles and specific content of the system construction, technical routes and implementation plans, and the significance and role of the system after it is completed. The article describes the solution to several key technical problems in the research and development process of this system, including the integration and fusion of multi-source and multi-type data, the monitoring and refining of the status of the ecological environment and its change information based on remote sensing images, and the scale conversion of ecological environment information. Ecological environment evaluation model, ecological environment dynamic simulation and virtual expression, etc. Through the design of this system, it can provide a theoretical basis for the protection, governance, monitoring, and planning of the ecological environment, and also serve for the rational deployment and utilization of land resources and water resources.
{"title":"Research on Application of Computer Artificial Intelligence Technology in Remote Dynamic Monitoring of Environment","authors":"Pan Feng, Qu Qiang","doi":"10.1109/ICESIT53460.2021.9696488","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696488","url":null,"abstract":"This article systematically discusses the importance of the ecological environment dynamic monitoring and management information system, the goals, principles and specific content of the system construction, technical routes and implementation plans, and the significance and role of the system after it is completed. The article describes the solution to several key technical problems in the research and development process of this system, including the integration and fusion of multi-source and multi-type data, the monitoring and refining of the status of the ecological environment and its change information based on remote sensing images, and the scale conversion of ecological environment information. Ecological environment evaluation model, ecological environment dynamic simulation and virtual expression, etc. Through the design of this system, it can provide a theoretical basis for the protection, governance, monitoring, and planning of the ecological environment, and also serve for the rational deployment and utilization of land resources and water resources.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"53 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":"130647606","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/ICESIT53460.2021.9696744
Huang-Chih Lin, Wei Liang, Lan Zhu, Zhen Cheng, Y. Zheng
In order to make the switched-inductor Quasi-Z source inverter have the function of energy bidirectional flowing in some special occasions, the diode in the topology is changed to insulation gate bipolar transistor (IGBT). The influence of capacitance and inductance parameters on zero and pole of bidirectional switched-inductor Quasi-Z source inverter is analyzed by using small signal model. The simulation of SVPWM4 based on shoot-through vector insert is finished.
{"title":"Research on Control Strategy of Improved Bidirectional Quasi-Z Source Inverter","authors":"Huang-Chih Lin, Wei Liang, Lan Zhu, Zhen Cheng, Y. Zheng","doi":"10.1109/ICESIT53460.2021.9696744","DOIUrl":"https://doi.org/10.1109/ICESIT53460.2021.9696744","url":null,"abstract":"In order to make the switched-inductor Quasi-Z source inverter have the function of energy bidirectional flowing in some special occasions, the diode in the topology is changed to insulation gate bipolar transistor (IGBT). The influence of capacitance and inductance parameters on zero and pole of bidirectional switched-inductor Quasi-Z source inverter is analyzed by using small signal model. The simulation of SVPWM4 based on shoot-through vector insert is finished.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"14 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":"129622061","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：