Pub Date : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9182573
Fei Wang, Chunhua Wang, Daohu Zhong, Min Lu, Feifei Pei
In urban greenway planning, more real data, information and images can be obtained effectively by using RS and GIS technology, so as to select reasonable design content and scope, and meet the needs of scientificity, leisure and entertainment. In this study, Dangjia area of Jinan City was selected as the research area, supported by RS and GIS technology, and with SPOT satellite remote sensing image as the main data source. Through remote sensing interpretation, the green space information database was established, which was used to determine the type and function of urban greenway, select the best connection path and landscape node, and make technical reference for the greenway planning scheme of Dangjia area.
{"title":"Analysis of Urban Greenway in Dangjia Area of Jinan Based on RS and GIS","authors":"Fei Wang, Chunhua Wang, Daohu Zhong, Min Lu, Feifei Pei","doi":"10.1109/ICAICA50127.2020.9182573","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182573","url":null,"abstract":"In urban greenway planning, more real data, information and images can be obtained effectively by using RS and GIS technology, so as to select reasonable design content and scope, and meet the needs of scientificity, leisure and entertainment. In this study, Dangjia area of Jinan City was selected as the research area, supported by RS and GIS technology, and with SPOT satellite remote sensing image as the main data source. Through remote sensing interpretation, the green space information database was established, which was used to determine the type and function of urban greenway, select the best connection path and landscape node, and make technical reference for the greenway planning scheme of Dangjia area.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122980273","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9181874
Qifeng Zhang
Lithium-ion power battery has become one of the main power sources of new energy vehicles due to its high energy, low pollution and high safety. State of health (SOH) of power battery is the most important performance index of electric vehicle power battery system. However, the existing estimation of battery SOH mostly uses the off-line Kalman filter algorithm and it is unable to accurately describe the actual working condition. In this paper, the circuit model of lithium-ion battery is analyzed, the charge and discharge test system of lithium-ion battery is designed, and the online estimation method of double Kalman filter algorithm is designed to evaluate the battery health. Experimental results show that the design algorithm has higher accuracy and convergence.
{"title":"Research on Evaluating the Health of Lithium-ion Battery Based on Double Kalman Filter Algorithm","authors":"Qifeng Zhang","doi":"10.1109/ICAICA50127.2020.9181874","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9181874","url":null,"abstract":"Lithium-ion power battery has become one of the main power sources of new energy vehicles due to its high energy, low pollution and high safety. State of health (SOH) of power battery is the most important performance index of electric vehicle power battery system. However, the existing estimation of battery SOH mostly uses the off-line Kalman filter algorithm and it is unable to accurately describe the actual working condition. In this paper, the circuit model of lithium-ion battery is analyzed, the charge and discharge test system of lithium-ion battery is designed, and the online estimation method of double Kalman filter algorithm is designed to evaluate the battery health. Experimental results show that the design algorithm has higher accuracy and convergence.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127956068","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}
Graphic reconstruction is the first step of electromagnetic multiphase flow measurement. In this paper, regular algorithm is used to reconstruct the velocity in the direction of electrode cross section. A new finite element procedure for the solution of velocity profiles using multielectrode electromagnetic flow meter is presented. The solution of the weight function is important for inferring the velocity profile from measured potential differences within the electromagnetic flow meter. On the basis of weight function theory, the regional weight function is put forward. Based on the finite element analysis, the flow section of the measuring pipe is divided into several small areas. The weight function is calculated by the induced electromotive force, and the average axial velocity value in each area is reconstructed. Finally, the flow field is reconstructed and the local velocity distribution is measured.
{"title":"Study of a numerical approach for velocity profiles using a multi-electrode sensor based on regularization algorithm","authors":"Xuejing Li, Xinhong Yao, Jinchuan Wu, Yanzheng Liang","doi":"10.1109/ICAICA50127.2020.9181945","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9181945","url":null,"abstract":"Graphic reconstruction is the first step of electromagnetic multiphase flow measurement. In this paper, regular algorithm is used to reconstruct the velocity in the direction of electrode cross section. A new finite element procedure for the solution of velocity profiles using multielectrode electromagnetic flow meter is presented. The solution of the weight function is important for inferring the velocity profile from measured potential differences within the electromagnetic flow meter. On the basis of weight function theory, the regional weight function is put forward. Based on the finite element analysis, the flow section of the measuring pipe is divided into several small areas. The weight function is calculated by the induced electromotive force, and the average axial velocity value in each area is reconstructed. Finally, the flow field is reconstructed and the local velocity distribution is measured.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129294802","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9181882
Shang Baoli, Z. Fan, L. Tiantian, Zhang Yu
When the combat platform is running on the road at a constant speed, it will have different vibration responses due to the different speed and road roughness. Road excitation is the main vibration source of the vibration system of the combat platform. Obtaining accurate road information is the key to analyze and evaluate the impact of the combat platform system on the road. In this paper, based on the fitting expression of road power spectral density recommended by GB/T7031-2005 and Simulink simulation software, the simulation model of combat platform is established when it is moving, and then the time-domain response of 1/2 combat platform system dynamics model under road random excitation is analyzed. The influence of road roughness and running speed on the vibration response of platform body is analyzed. It provides a theoretical basis for the design and structure optimization of combat platform.
{"title":"Response Analysis of a Combat Platform System to Pavement Excitation","authors":"Shang Baoli, Z. Fan, L. Tiantian, Zhang Yu","doi":"10.1109/ICAICA50127.2020.9181882","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9181882","url":null,"abstract":"When the combat platform is running on the road at a constant speed, it will have different vibration responses due to the different speed and road roughness. Road excitation is the main vibration source of the vibration system of the combat platform. Obtaining accurate road information is the key to analyze and evaluate the impact of the combat platform system on the road. In this paper, based on the fitting expression of road power spectral density recommended by GB/T7031-2005 and Simulink simulation software, the simulation model of combat platform is established when it is moving, and then the time-domain response of 1/2 combat platform system dynamics model under road random excitation is analyzed. The influence of road roughness and running speed on the vibration response of platform body is analyzed. It provides a theoretical basis for the design and structure optimization of combat platform.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128497022","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}
How to mine valuable information that users are interested in from a continuous text data stream, text data stream classification has received widespread attention as a core technology to solve the problem. This paper proposes a text data stream ensemble classification algorithm that combines feature selection and topic model. Firstly, the mutual information feature selection method is used to remove features that are not related to classification. Secondly, the LDA topic model is used to establish the document-topic distribution. Finally, the pre-processed text data stream is classified by an ensemble classification model. The experimental results show that the proposed text data stream ensemble classification algorithm can improve the classification performance of text data stream.
{"title":"An Ensemble Classification Algorithm for Text Data Stream based on Feature Selection and Topic Model","authors":"Zhongxin Wang, Jianqiao Liu, Gang Sun, Jia Zhao, Zhengqi Ding, Xiaowen Guan","doi":"10.1109/ICAICA50127.2020.9181903","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9181903","url":null,"abstract":"How to mine valuable information that users are interested in from a continuous text data stream, text data stream classification has received widespread attention as a core technology to solve the problem. This paper proposes a text data stream ensemble classification algorithm that combines feature selection and topic model. Firstly, the mutual information feature selection method is used to remove features that are not related to classification. Secondly, the LDA topic model is used to establish the document-topic distribution. Finally, the pre-processed text data stream is classified by an ensemble classification model. The experimental results show that the proposed text data stream ensemble classification algorithm can improve the classification performance of text data stream.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116410232","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9181869
Wang Kuan, Gong Haibo, Qi Xiaopeng
In order to meet the requirements for collecting video signals of airborne avionics systems and improve the signal transmission quality of airborne video distributors, an adaptive equalization compensation method is proposed and applied to the airborne DVI (Digitial Visual Interface) video signal distributor. The advantages of this method are: using hardware pre-emphasis and equalization technology to solve the problem of distortion of DVI signals during long cable transmission; using a double histogram equalization method based on a weighted probability equalization model to further improve image contrast and sharpness. Finally, experiments show that this method can improve the clarity and recognition of video images.
{"title":"The adaptive equalization compensation algorithm for DVI video signal","authors":"Wang Kuan, Gong Haibo, Qi Xiaopeng","doi":"10.1109/ICAICA50127.2020.9181869","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9181869","url":null,"abstract":"In order to meet the requirements for collecting video signals of airborne avionics systems and improve the signal transmission quality of airborne video distributors, an adaptive equalization compensation method is proposed and applied to the airborne DVI (Digitial Visual Interface) video signal distributor. The advantages of this method are: using hardware pre-emphasis and equalization technology to solve the problem of distortion of DVI signals during long cable transmission; using a double histogram equalization method based on a weighted probability equalization model to further improve image contrast and sharpness. Finally, experiments show that this method can improve the clarity and recognition of video images.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116637618","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9182539
Zhenhua Liu, Liwei Su
Today is the era of Internet information. Affected by economic development and living standards, power users have higher and higher expectations for power supply services. Although customer complaints are inevitable, as an important part of customer feedback in high-quality services, how to use customer complaint information efficiently, reasonably, and scientifically has become a problem that every power grid company must face in the Internet + era. The purpose of this article is to study the big data analysis model of customer demands based on the electric power enterprise service platform. This article first introduces the meaning of customer satisfaction and customer demands, and then analyzes the development status of the power enterprise service platform, and proposes the need to improve customer demand management. Based on this, this article establishes a big data analysis model of customer demands. The experimental results prove that the analysis model designed in this paper can not only solve the needs of power enterprises, but also improve the economic benefits of enterprises. In this paper, the economic benefits obtained from the four indicators of failure repair service, power outage information management norms, business process norms and customer service representatives' work efficiency improvement, and the statistical results of a power company using the model one year later are 5.25 million yuan.
{"title":"Big Data Analysis Model of Customer Appeal Based on Power Enterprise Service Platform","authors":"Zhenhua Liu, Liwei Su","doi":"10.1109/ICAICA50127.2020.9182539","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182539","url":null,"abstract":"Today is the era of Internet information. Affected by economic development and living standards, power users have higher and higher expectations for power supply services. Although customer complaints are inevitable, as an important part of customer feedback in high-quality services, how to use customer complaint information efficiently, reasonably, and scientifically has become a problem that every power grid company must face in the Internet + era. The purpose of this article is to study the big data analysis model of customer demands based on the electric power enterprise service platform. This article first introduces the meaning of customer satisfaction and customer demands, and then analyzes the development status of the power enterprise service platform, and proposes the need to improve customer demand management. Based on this, this article establishes a big data analysis model of customer demands. The experimental results prove that the analysis model designed in this paper can not only solve the needs of power enterprises, but also improve the economic benefits of enterprises. In this paper, the economic benefits obtained from the four indicators of failure repair service, power outage information management norms, business process norms and customer service representatives' work efficiency improvement, and the statistical results of a power company using the model one year later are 5.25 million yuan.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125608093","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9181938
Tao Zhang, Linwei Li
This paper proposes an improved target detection algorithm based on M2Det, which improves the way to construct feature pyramids in M2Det, and improves the detection accuracy on the Apple dataset by stacking MLFPN modules. The experimental results prove that the two-layer MLFPN module achieves the best performance. Compared with the original M2Det model, mAP@0.5 and mAP@0.75 have improved by 11.8 and 10.5, respectively.
{"title":"An Improved Object Detection Algorithm Based on M2Det","authors":"Tao Zhang, Linwei Li","doi":"10.1109/ICAICA50127.2020.9181938","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9181938","url":null,"abstract":"This paper proposes an improved target detection algorithm based on M2Det, which improves the way to construct feature pyramids in M2Det, and improves the detection accuracy on the Apple dataset by stacking MLFPN modules. The experimental results prove that the two-layer MLFPN module achieves the best performance. Compared with the original M2Det model, mAP@0.5 and mAP@0.75 have improved by 11.8 and 10.5, respectively.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126166414","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9182392
Rongmin Zhao, Fangfang Liu, Zihan Yang, Fanghui Lin
The continuous development of nanoscience and nanotechnology engages more and more attention to micro-scale or nano-scale measurement technology. This paper studied a high-sensitivity displacement measurement method based on fiber Bragg grating (FBG), analyzed its measurement principle and system composition, and simulated signals of the high-resolution wavelength demodulation system of FBG. The sensitivity of the nano-scale measurement machine grows significantly owing to the design of an improved high-resolution wavelength demodulating method. Finally, the experimental error sources were analyzed. The final performance experiments and results of the measurement system indicate the machine sensitivity reaches 6.22 mV/nm, and resolution is about 3.3 nm.
{"title":"Method for Nano-scale Displacement Measurement Based on Fiber Bragg Grating","authors":"Rongmin Zhao, Fangfang Liu, Zihan Yang, Fanghui Lin","doi":"10.1109/ICAICA50127.2020.9182392","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182392","url":null,"abstract":"The continuous development of nanoscience and nanotechnology engages more and more attention to micro-scale or nano-scale measurement technology. This paper studied a high-sensitivity displacement measurement method based on fiber Bragg grating (FBG), analyzed its measurement principle and system composition, and simulated signals of the high-resolution wavelength demodulation system of FBG. The sensitivity of the nano-scale measurement machine grows significantly owing to the design of an improved high-resolution wavelength demodulating method. Finally, the experimental error sources were analyzed. The final performance experiments and results of the measurement system indicate the machine sensitivity reaches 6.22 mV/nm, and resolution is about 3.3 nm.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125154503","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9181850
J. Su, Weidong Jiang, B. Tian
In the process of ISAR imaging, since the velocity of the non-cooperative target is unknown, imaging may be blur and even unable to focus. Therefore, MIMO-ISAR radar is introduced, and the target velocity estimation is the key and difficulty in the process. Based on the velocity estimation method of minimum entropy that has been proposed, this paper proposes a fast velocity estimation methods based on minimum entropy and Newton iteration to shorten the time and improve the efficiency of velocity estimation. Analysis and simulation results verify the feasibility of the proposed algorithm, which is of vital importance for improving the quality of MIMO-ISAR imaging and motion compensation.
{"title":"Fast Velocity Estimation Based on Minimum Entropy and Newton Iteration in MIMO-ISAR Imaging","authors":"J. Su, Weidong Jiang, B. Tian","doi":"10.1109/ICAICA50127.2020.9181850","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9181850","url":null,"abstract":"In the process of ISAR imaging, since the velocity of the non-cooperative target is unknown, imaging may be blur and even unable to focus. Therefore, MIMO-ISAR radar is introduced, and the target velocity estimation is the key and difficulty in the process. Based on the velocity estimation method of minimum entropy that has been proposed, this paper proposes a fast velocity estimation methods based on minimum entropy and Newton iteration to shorten the time and improve the efficiency of velocity estimation. Analysis and simulation results verify the feasibility of the proposed algorithm, which is of vital importance for improving the quality of MIMO-ISAR imaging and motion compensation.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124378286","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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