2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)最新文献_第4页

Prediction of bicycle dynamics parameters based on machine learning 基于机器学习的自行车动力学参数预测

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00050

B. Li

引用次数: 0

Research and Design of On-line Monitoring and Fault Intelligent Diagnosis System for Tide Inspection Equipment 潮汐检测设备在线监测与故障智能诊断系统的研究与设计

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00097

Yimeng Zhang, Haifeng Wei, Y. Guan, Lingfeng Liu

引用次数: 0

The Aerial Target Type Recognition Based on Box-Cox Transform and Convolutional Neural Network 基于Box-Cox变换和卷积神经网络的航空目标类型识别

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00081

Tong Zhou, Zi-yue Tang, Yichang Chen, Yongjian Sun

引用次数: 0

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 智慧旅游背景下老年人在线旅游信息共享行为障碍因素研究——以微信平台为例

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00096

Liuwei Bao, Jun Wu

引用次数: 2

Design of Power Supply and Distribution System Based on Relevant Requirements of Power System 基于电力系统相关要求的供配电系统设计

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00070

X. Duan, Jun Dai

{"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}

引用次数: 0

Research on Compression Performance Prediction of JPEG2000 JPEG2000压缩性能预测研究

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00065

Ruihua Liu, Yi Zhang, Quan Zhou

{"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}

引用次数: 1

Research and Practice on Data Acquisition of Android-based Application 基于android应用程序的数据采集研究与实践

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00040

Zhuojie Miao, Yuancheng Zhao, Jianhu Dong

引用次数: 0

A Cloud Storage Solution Based on State Secret Algorithm 一种基于国家秘密算法的云存储解决方案

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00029

Qianting Tu, Haibo Luo, Wenxing Chen, Zhenjia Li

引用次数: 0

Improving Quality of Smart Grid Data by Functional Data Analysis 通过功能数据分析提高智能电网数据质量

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00010

Yun Su, Zenghui Yang, Naiwang Guo, Hongshan Yang

{"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}

引用次数: 0

Prediction of Loan Overdue Based On Machine Learning Algorithm 基于机器学习算法的贷款逾期预测

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00043

S. Xu, Peng Zhang

引用次数: 1