Pub Date : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00050
B. Li
There are many control methods for the stable motion of a bicycle, and some scholars have verified that the stable motion of the bicycle can be achieved through the proportional control of the inclination of the body. This paper combines machine learning with bicycle dynamics parameter prediction, and uses neural network to fit the relationship between the dynamic parameters at time t and t+Δt, and predict the inclination of the body at time t+Δt. The fitting result proves that the neural network method can effectively fit the law, and the prediction effect is better.
{"title":"Prediction of bicycle dynamics parameters based on machine learning","authors":"B. Li","doi":"10.1109/ISCEIC53685.2021.00050","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00050","url":null,"abstract":"There are many control methods for the stable motion of a bicycle, and some scholars have verified that the stable motion of the bicycle can be achieved through the proportional control of the inclination of the body. This paper combines machine learning with bicycle dynamics parameter prediction, and uses neural network to fit the relationship between the dynamic parameters at time t and t+Δt, and predict the inclination of the body at time t+Δt. The fitting result proves that the neural network method can effectively fit the law, and the prediction effect is better.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123678958","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00097
Yimeng Zhang, Haifeng Wei, Y. Guan, Lingfeng Liu
With the continuous development of advanced technologies such as the Internet of Things and big data, relying on the laying of composite cables and the erection of mobile phone signal network base stations, high-speed bandwidth has been brought to the tide inspection equipment, and the predictive maintenance of the tide inspection equipment has gradually changed from a concept to a reality. The tide gauge equipment online monitoring and fault intelligent diagnosis system can carry out real-time monitoring and big data analysis of various tide gauge equipment, judge the tide gauge equipment failures in advance, and then remotely service, check the hidden troubles in advance, so that the maintenance of the tide gauge equipment becomes Smarter and more reliable operations.
{"title":"Research and Design of On-line Monitoring and Fault Intelligent Diagnosis System for Tide Inspection Equipment","authors":"Yimeng Zhang, Haifeng Wei, Y. Guan, Lingfeng Liu","doi":"10.1109/ISCEIC53685.2021.00097","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00097","url":null,"abstract":"With the continuous development of advanced technologies such as the Internet of Things and big data, relying on the laying of composite cables and the erection of mobile phone signal network base stations, high-speed bandwidth has been brought to the tide inspection equipment, and the predictive maintenance of the tide inspection equipment has gradually changed from a concept to a reality. The tide gauge equipment online monitoring and fault intelligent diagnosis system can carry out real-time monitoring and big data analysis of various tide gauge equipment, judge the tide gauge equipment failures in advance, and then remotely service, check the hidden troubles in advance, so that the maintenance of the tide gauge equipment becomes Smarter and more reliable operations.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123173776","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00081
Tong Zhou, Zi-yue Tang, Yichang Chen, Yongjian Sun
Aiming at the weak micro characteristics of traditional narrowband radar targets, an aerial target type recognition method based on Box-Cox transform and convolutional neural network is proposed. The method does not need to compensate the fuselage component, and carries out Box-Cox nonlinear transformation directly to the radar echo data, which enhances the characteristics of micro component. Then, two-dimensional time-frequency images are generated by short-time Fourier transform, which are input to convolutional neural network for feature learning, and helicopter, propeller aircraft, jet aircraft type recognition is completed. Finally, a comparative experiment was carried out on the recognition effect under three influencing factors of SNR, observation time and pulse repetition frequency. The experimental results show that the Box-Cox transform can effectively improve the recognition rate under the condition of high SNR.
{"title":"The Aerial Target Type Recognition Based on Box-Cox Transform and Convolutional Neural Network","authors":"Tong Zhou, Zi-yue Tang, Yichang Chen, Yongjian Sun","doi":"10.1109/ISCEIC53685.2021.00081","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00081","url":null,"abstract":"Aiming at the weak micro characteristics of traditional narrowband radar targets, an aerial target type recognition method based on Box-Cox transform and convolutional neural network is proposed. The method does not need to compensate the fuselage component, and carries out Box-Cox nonlinear transformation directly to the radar echo data, which enhances the characteristics of micro component. Then, two-dimensional time-frequency images are generated by short-time Fourier transform, which are input to convolutional neural network for feature learning, and helicopter, propeller aircraft, jet aircraft type recognition is completed. Finally, a comparative experiment was carried out on the recognition effect under three influencing factors of SNR, observation time and pulse repetition frequency. The experimental results show that the Box-Cox transform can effectively improve the recognition rate under the condition of high SNR.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126504216","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00096
Liuwei Bao, Jun Wu
Based on the background of smart tourism, this paper collected the data of the tourism related information shared by the old on WeChat in Jingduyuan community of Hangzhou through in-depth interview, used the grounded theory to extract the obstacle factors that affect the elderly's online tourism information sharing behavior, and constructed the obstacle factor model of the elderly's online tourism information sharing behavior. The study found that the obstacle factors for the elderly to share tourism information on WeChat include use obstacle, attitude obstacle and cognitive obstacle. The relationship among these factors is that obstacle factors indirectly influence the sharing behavior of the elderly through the willingness of online tourism information sharing behavior. The study can not only enrich the relevant research on the elderly in the field of tourism information behavior, but also has some implications for the network marketing of elderly tourism.
{"title":"Research on the Obstacle Factors of the Elderly's Online Tourism Information Sharing Behavior under the Background of Smart Tourism : Taking WeChat Platform as an Example","authors":"Liuwei Bao, Jun Wu","doi":"10.1109/ISCEIC53685.2021.00096","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00096","url":null,"abstract":"Based on the background of smart tourism, this paper collected the data of the tourism related information shared by the old on WeChat in Jingduyuan community of Hangzhou through in-depth interview, used the grounded theory to extract the obstacle factors that affect the elderly's online tourism information sharing behavior, and constructed the obstacle factor model of the elderly's online tourism information sharing behavior. The study found that the obstacle factors for the elderly to share tourism information on WeChat include use obstacle, attitude obstacle and cognitive obstacle. The relationship among these factors is that obstacle factors indirectly influence the sharing behavior of the elderly through the willingness of online tourism information sharing behavior. The study can not only enrich the relevant research on the elderly in the field of tourism information behavior, but also has some implications for the network marketing of elderly tourism.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128285550","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00070
X. Duan, Jun Dai
The power supply and distribution system is the core operating driving force of the enterprise. Under long-term and high-load operating conditions, the internal electronic components will reduce the sensitivity of the device and reduce the safety performance of the equipment. Once it occurs, it will cause very serious problems. Consequences are all problems that must be avoided. To meet the economic, high-quality, and reliable requirement, the load is calculated based on the relevant needs and requirements of the power system, and then the calculation is carried out with the power factor, so that the result of no power compensation can be obtained, which is the key to the formation of the power supply scheme. In terms of the main wiring, the busbars and conductors of the power supply system were selected, and the specific capacity and required number of transformers were determined at the same time. By rationally designing short-circuit points, calculating the circuit to effectively select and correct electrical equipment, and finally protect the system circuit from lightning strikes, and finally, the entire power supply and distribution system make the hotel’s electrical equipment operate stably and reliably, reducing power outages and meeting people’s various life needs.
{"title":"Design of Power Supply and Distribution System Based on Relevant Requirements of Power System","authors":"X. Duan, Jun Dai","doi":"10.1109/ISCEIC53685.2021.00070","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00070","url":null,"abstract":"The power supply and distribution system is the core operating driving force of the enterprise. Under long-term and high-load operating conditions, the internal electronic components will reduce the sensitivity of the device and reduce the safety performance of the equipment. Once it occurs, it will cause very serious problems. Consequences are all problems that must be avoided. To meet the economic, high-quality, and reliable requirement, the load is calculated based on the relevant needs and requirements of the power system, and then the calculation is carried out with the power factor, so that the result of no power compensation can be obtained, which is the key to the formation of the power supply scheme. In terms of the main wiring, the busbars and conductors of the power supply system were selected, and the specific capacity and required number of transformers were determined at the same time. By rationally designing short-circuit points, calculating the circuit to effectively select and correct electrical equipment, and finally protect the system circuit from lightning strikes, and finally, the entire power supply and distribution system make the hotel’s electrical equipment operate stably and reliably, reducing power outages and meeting people’s various life needs.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"39 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120934524","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00065
Ruihua Liu, Yi Zhang, Quan Zhou
Image compression is one of the potential techniques for image processing. However, the compression also takes a certain amount of time, and some algorithms are not adapted to all images. In order to improve the processing efficiency and performance, this paper studied the relation between image characteristics and Peak Signal to Noise Ratio (PSNR) to predict the compression performance. In this paper, we adopted JPEG2000 algorithm to compress, and PSNR to evaluate the image quality. The statistics of an image contains the values of mean, variance, entropy and others. Then, we drew the relation graph between each statistic calculated and PSNR, and found the statistic which is the most closely related to PSNR. Finally, we derived an explicit expression. Experimental results show that Image Activity Measure (IAM) has the closest relation with PSNR, and the expression has the average relative error of 2% - 3.0%. Meanwhile, it can be simplified by ensuring that the formula error is unchanged basically. Furthermore, we also used other images dataset for verifying the formula. Gray images all can be well predicted for JPEG2000 algorithm when Compression Ratio (CR) is 16. It indicates that a more accurate and simpler IAM-PSNR relation we had obtained. Therefore, we can predict the compression performance before compression so as to select the appropriate compression algorithm and to provide great convenience for subsequent processing.
{"title":"Research on Compression Performance Prediction of JPEG2000","authors":"Ruihua Liu, Yi Zhang, Quan Zhou","doi":"10.1109/ISCEIC53685.2021.00065","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00065","url":null,"abstract":"Image compression is one of the potential techniques for image processing. However, the compression also takes a certain amount of time, and some algorithms are not adapted to all images. In order to improve the processing efficiency and performance, this paper studied the relation between image characteristics and Peak Signal to Noise Ratio (PSNR) to predict the compression performance. In this paper, we adopted JPEG2000 algorithm to compress, and PSNR to evaluate the image quality. The statistics of an image contains the values of mean, variance, entropy and others. Then, we drew the relation graph between each statistic calculated and PSNR, and found the statistic which is the most closely related to PSNR. Finally, we derived an explicit expression. Experimental results show that Image Activity Measure (IAM) has the closest relation with PSNR, and the expression has the average relative error of 2% - 3.0%. Meanwhile, it can be simplified by ensuring that the formula error is unchanged basically. Furthermore, we also used other images dataset for verifying the formula. Gray images all can be well predicted for JPEG2000 algorithm when Compression Ratio (CR) is 16. It indicates that a more accurate and simpler IAM-PSNR relation we had obtained. Therefore, we can predict the compression performance before compression so as to select the appropriate compression algorithm and to provide great convenience for subsequent processing.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127097239","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00040
Zhuojie Miao, Yuancheng Zhao, Jianhu Dong
The Internet has become the main space for crime. Android based mobile devices have a high utilization rate and become one of the main tools of cybercrime. Under the framework of Android system, this paper obtains an automatic and efficient electronic data forensics method based on Android by using the practice of ADB tools and electronic data such as contacts, relationships and communication records in mobile communication software.
{"title":"Research and Practice on Data Acquisition of Android-based Application","authors":"Zhuojie Miao, Yuancheng Zhao, Jianhu Dong","doi":"10.1109/ISCEIC53685.2021.00040","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00040","url":null,"abstract":"The Internet has become the main space for crime. Android based mobile devices have a high utilization rate and become one of the main tools of cybercrime. Under the framework of Android system, this paper obtains an automatic and efficient electronic data forensics method based on Android by using the practice of ADB tools and electronic data such as contacts, relationships and communication records in mobile communication software.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133085288","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00029
Qianting Tu, Haibo Luo, Wenxing Chen, Zhenjia Li
While the Cloud is widely used, it is also facing threats. This paper introduces the status quo and development trend of Cloud security research and described separately from the aspects of data, user identity authentication, key storage and key distribution. Furthermore, a solution involving browsers, identity authentication, and key management is proposed. Finally, the SM4 and SM9 algorithms in the State Secret Algorithm are used to verify the feasibility of the scheme. The research of the thesis makes the use of the State Secret Algorithm in various application systems to be realized, which has certain reference significance.
{"title":"A Cloud Storage Solution Based on State Secret Algorithm","authors":"Qianting Tu, Haibo Luo, Wenxing Chen, Zhenjia Li","doi":"10.1109/ISCEIC53685.2021.00029","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00029","url":null,"abstract":"While the Cloud is widely used, it is also facing threats. This paper introduces the status quo and development trend of Cloud security research and described separately from the aspects of data, user identity authentication, key storage and key distribution. Furthermore, a solution involving browsers, identity authentication, and key management is proposed. Finally, the SM4 and SM9 algorithms in the State Secret Algorithm are used to verify the feasibility of the scheme. The research of the thesis makes the use of the State Secret Algorithm in various application systems to be realized, which has certain reference significance.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133701078","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00010
Yun Su, Zenghui Yang, Naiwang Guo, Hongshan Yang
As an important industry to the national economy and people’s livelihood, the power industry has become a dataintensive industry after years of information construction. Among them, electricity data covers the whole industry and tens of thousands of households, so it is of great significance and value to conduct in-depth analysis and research on large power data. The existing power consumption data has the problem of low quality, which is mainly manifested in data missing and anomaly, which has a great impact on the accuracy of data analysis. Therefore, the cleaning of power consumption data is the first problem that industry personnel will face. However, there are many problems in the existing data cleaning methods, which have failed to achieve good results in the business scenario of power consumption data. Therefore, this paper presents a daily power data cleaning model based on FDA, which successfully finds and eliminates abnormal values of power data, and can repair the missing values. The experimental results show that the data cleaning method proposed in this paper has a good effect on the real electricity data scenario.
{"title":"Improving Quality of Smart Grid Data by Functional Data Analysis","authors":"Yun Su, Zenghui Yang, Naiwang Guo, Hongshan Yang","doi":"10.1109/ISCEIC53685.2021.00010","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00010","url":null,"abstract":"As an important industry to the national economy and people’s livelihood, the power industry has become a dataintensive industry after years of information construction. Among them, electricity data covers the whole industry and tens of thousands of households, so it is of great significance and value to conduct in-depth analysis and research on large power data. The existing power consumption data has the problem of low quality, which is mainly manifested in data missing and anomaly, which has a great impact on the accuracy of data analysis. Therefore, the cleaning of power consumption data is the first problem that industry personnel will face. However, there are many problems in the existing data cleaning methods, which have failed to achieve good results in the business scenario of power consumption data. Therefore, this paper presents a daily power data cleaning model based on FDA, which successfully finds and eliminates abnormal values of power data, and can repair the missing values. The experimental results show that the data cleaning method proposed in this paper has a good effect on the real electricity data scenario.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126875386","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00043
S. Xu, Peng Zhang
With the development of the financial Internet, analyzing the repayment ability and willingness of loan objects has become a key link. This paper uses the loan overdue data set of the TianChi platform to predict whether the borrower is in default or not. Firstly, Feature engineering is used to get the useful features for training. Then this paper compares the performance of five machine learning algorithms on predicting the loan overdue. The results show that the LightGBM model has the best performance and stability.
{"title":"Prediction of Loan Overdue Based On Machine Learning Algorithm","authors":"S. Xu, Peng Zhang","doi":"10.1109/ISCEIC53685.2021.00043","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00043","url":null,"abstract":"With the development of the financial Internet, analyzing the repayment ability and willingness of loan objects has become a key link. This paper uses the loan overdue data set of the TianChi platform to predict whether the borrower is in default or not. Firstly, Feature engineering is used to get the useful features for training. Then this paper compares the performance of five machine learning algorithms on predicting the loan overdue. The results show that the LightGBM model has the best performance and stability.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115650038","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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