发布求助
文献互助 智能选刊 最新文献

2021 International Conference on Networking, Communications and Information Technology (NetCIT)最新文献

筛选
英文 中文
Research on Forecasting Method of Stock Index Yield and Volatility Based on Hybrid Intelligent Algorithm 基于混合智能算法的股指收益率和波动率预测方法研究
2021 International Conference on Networking, Communications and Information Technology (NetCIT) Pub Date : 2021-12-01 DOI: 10.1109/NetCIT54147.2021.00020
Han Han, Jiangyun Xu
{"title":"Research on Forecasting Method of Stock Index Yield and Volatility Based on Hybrid Intelligent Algorithm","authors":"Han Han, Jiangyun Xu","doi":"10.1109/NetCIT54147.2021.00020","DOIUrl":"https://doi.org/10.1109/NetCIT54147.2021.00020","url":null,"abstract":"Chinese mainland's stock index futures have just been launched, and hedging is the main tendency of people's investment. Whether investing or buying or selling stocks, it is necessary to anticipate the future fluctuation direction of the rate of return, so as to adjust their portfolio accordingly, although it is impossible to predict completely and accurately. In this paper, the closing price of CSI 300 index is decomposed by using EEMD (Ensemble Empirical Mode Decomposition) algorithm based on hybrid intelligent algorithm, and 10 intrinsic modulus functions and one residual function are successfully obtained. Finally, the CSI 300 index prediction model based on EEMD-LSTM(Long Short-Term Memory) model is established, and various evaluation indexes are established to measure the performance of the model, and the prediction effect of the reference model is compared. The GARCH-Jump model is established and an attempt is made to study the price fluctuation of Shanghai and Shenzhen 300 stock indexes based on MCMC(Markov Chain Monte Carlo) simulation method. The final results show that EEMD-LSTM model has better prediction performance.","PeriodicalId":378372,"journal":{"name":"2021 International Conference on Networking, Communications and Information Technology (NetCIT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126876590","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
Design and Implementation of the Adaptive Archive Allocation System 自适应档案分配系统的设计与实现
2021 International Conference on Networking, Communications and Information Technology (NetCIT) Pub Date : 2021-12-01 DOI: 10.1109/NetCIT54147.2021.00021
Lilan Chen, Yongsheng Chen
{"title":"Design and Implementation of the Adaptive Archive Allocation System","authors":"Lilan Chen, Yongsheng Chen","doi":"10.1109/NetCIT54147.2021.00021","DOIUrl":"https://doi.org/10.1109/NetCIT54147.2021.00021","url":null,"abstract":"In view of the language barriers existing in proper names, professional terms, measurement and tradeoff in China’s Imperial Maritime Customs archives, this paper lists the Chinese-English comparison table of proper names, professional terms in China’s Imperial Maritime Customs archives. Based on the list of this Chinese-English comparison table, this paper tries to realize the optimal allocation between the adaptive archive allocation system and the system users from the aspects of the design and implementation of the adaptive allocation system, with the purpose of efficient exploration and exploitation research of these archives with high quality from multiple perspectives. The adaptive system in this paper is a simulation system built with Python, but with actual data, invoking Python correlation package and the POMDP model.","PeriodicalId":378372,"journal":{"name":"2021 International Conference on Networking, Communications and Information Technology (NetCIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134375292","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
Virtual Power Plant Adjustable Resource Aggregation Adjustment Optimization Strategy Based on Multi-agent Game 基于多智能体博弈的虚拟电厂可调资源聚合调整优化策略
2021 International Conference on Networking, Communications and Information Technology (NetCIT) Pub Date : 2021-12-01 DOI: 10.1109/NetCIT54147.2021.00064
Lingyan Que, Xue-liang Jiang, Bo Wang, Xueqi Jin, Zhenhua Cai, Liqin Shi, Qingmin Lyn
{"title":"Virtual Power Plant Adjustable Resource Aggregation Adjustment Optimization Strategy Based on Multi-agent Game","authors":"Lingyan Que, Xue-liang Jiang, Bo Wang, Xueqi Jin, Zhenhua Cai, Liqin Shi, Qingmin Lyn","doi":"10.1109/NetCIT54147.2021.00064","DOIUrl":"https://doi.org/10.1109/NetCIT54147.2021.00064","url":null,"abstract":"Based on the virtual power plant platform, this paper studies the aggregation adjustment and optimization strategy of multiple agents, and uses the multi-agent reinforcement learning strategy to realize the game behavior among multiple power generation companies, energy storage companies and load users, which meets the adjustment in the virtual platform. Nash equilibrium of the overall income of resource participants. Based on the modeling of the adjustable resource aggregation of the virtual power plant, the game strategy is divided into the overall cooperative game and the partial non-cooperative game according to the game characteristics, and different game strategies are adopted respectively. The comparison results of field operation examples and methods prove that the strategy has advantages in terms of model training time-consuming, execution time-consuming, convergence, etc., and it has theoretical guidance and field promotion value.","PeriodicalId":378372,"journal":{"name":"2021 International Conference on Networking, Communications and Information Technology (NetCIT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132609749","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 blood cell image segmentation technology based on neural network method 基于神经网络方法的血细胞图像分割技术研究
2021 International Conference on Networking, Communications and Information Technology (NetCIT) Pub Date : 2021-12-01 DOI: 10.1109/NetCIT54147.2021.00012
Tian Deng
{"title":"Research on blood cell image segmentation technology based on neural network method","authors":"Tian Deng","doi":"10.1109/NetCIT54147.2021.00012","DOIUrl":"https://doi.org/10.1109/NetCIT54147.2021.00012","url":null,"abstract":"Computer image processing can be used for the processing of microscopic and biomedical images. For example, measuring and diagnosing microscopic images of blood cell smear by computer can improve work efficiency and reduce human error. In order to reduce artificial subjective interference, improve work efficiency and reduce workload, automatic analysis of cell images has become a hot spot in scientific research and clinical application. Among them, automatic segmentation of blood cell images has become one of the most interesting issues. A nonlinear system model based on improved BPNN(BP neural network) is proposed. The experimental results show that it can effectively overcome the unavoidable edge detection problem of existing methods, and make the segmented image closer to the real image.","PeriodicalId":378372,"journal":{"name":"2021 International Conference on Networking, Communications and Information Technology (NetCIT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134172322","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 Acousto-optic Joint Detection and Visual Diagnosis Method of Power Equipment 电力设备声光联合检测与视觉诊断方法研究
2021 International Conference on Networking, Communications and Information Technology (NetCIT) Pub Date : 2021-12-01 DOI: 10.1109/NetCIT54147.2021.00072
Yi Li, M. Ren, Bin Wang, Chongxing Zhang, Ming Dong
{"title":"Research on Acousto-optic Joint Detection and Visual Diagnosis Method of Power Equipment","authors":"Yi Li, M. Ren, Bin Wang, Chongxing Zhang, Ming Dong","doi":"10.1109/NetCIT54147.2021.00072","DOIUrl":"https://doi.org/10.1109/NetCIT54147.2021.00072","url":null,"abstract":"Inclusions, pores, and cracks in the insulation materials of electrical equipment is increasing, leading to the continuous occurrence of insulation cracking and burning, which seriously threatens the safe and stable operation of the power grid. In the cause of above problems, this paper proposes a joint detection and diagnosis method for the outdoor insulation status, using image matching and image fusion technology to fuse the ultrasound and ultraviolet results, and thus quickly locate the corona discharge of high-voltage devices. First, based on the optimized multiple signal classification (MUSIC) algorithm and the ultrasonic single helix sensor array, an ultrasonic positioning visualization method of corona discharge is proposed. Subsequently, based on the refracted light path realizing the ultraviolet imaging, the visualization of the ultraviolet positioning is presented. Ultimately, the result of image fusion is provided. The positioning error evaluation of each part is carried out in the meantime. Facts proved the proposed algorithm is in high accuracy and good adaptability. Moreover, the proposed visualization method is faster locating insulation fault, and has broad application prospects.","PeriodicalId":378372,"journal":{"name":"2021 International Conference on Networking, Communications and Information Technology (NetCIT)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134190160","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
Implementation of Recruitment Website Data Analysis System Based on Web Crawler 基于Web爬虫的招聘网站数据分析系统的实现
2021 International Conference on Networking, Communications and Information Technology (NetCIT) Pub Date : 2021-12-01 DOI: 10.1109/NetCIT54147.2021.00088
Yiyang Su, Xuanyu Hong, Shuxi Chen, Wei Song
{"title":"Implementation of Recruitment Website Data Analysis System Based on Web Crawler","authors":"Yiyang Su, Xuanyu Hong, Shuxi Chen, Wei Song","doi":"10.1109/NetCIT54147.2021.00088","DOIUrl":"https://doi.org/10.1109/NetCIT54147.2021.00088","url":null,"abstract":"With continuous development of science and technology, China is in the era of big data. In order to extract useful information from massive data, we must use data analysis system. The data analysis system greatly improves the use efficiency of data, and can get the hidden information in the data through the analysis of some complex data. This topic designs a recruitment website data analysis system based on web crawler, uses web crawler to collect the recruitment information in the recruitment website, analyzes the recruitment information, and finally displays the relevant information. The system uses the proceptron algorithm in deep learning to realize the salary prediction function for job seekers. In this system, the crawler function is written in Python language, and multi-threaded, anti-crawler and other technologies are used to crawl the data of the recruitment website. The application of this system can extract, store, analyze and display the complex and diverse recruitment information in the recruitment website, so that job seekers can more comprehensively understand the post information and find the most suitable job.","PeriodicalId":378372,"journal":{"name":"2021 International Conference on Networking, Communications and Information Technology (NetCIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134356489","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
A Review of Machine Learning Methods Applied in Sunspot Prediction 机器学习方法在太阳黑子预测中的应用综述
2021 International Conference on Networking, Communications and Information Technology (NetCIT) Pub Date : 2021-12-01 DOI: 10.1109/NetCIT54147.2021.00039
Z. Xiao
{"title":"A Review of Machine Learning Methods Applied in Sunspot Prediction","authors":"Z. Xiao","doi":"10.1109/NetCIT54147.2021.00039","DOIUrl":"https://doi.org/10.1109/NetCIT54147.2021.00039","url":null,"abstract":"Solar activity has a significant impact on the production and life of human beings and organisms on earth. Since solar activity varies in a cycle of approximately 11 years, the variation of ionospheric plasma density, or of the sunspots has major effect in the space around Earth in the interplanetary environment and the magnetosphere of the Earth. Therefore, information on future changes in the number of sunspots is important for space weather safety. This paper aims to review recently innovate methods of Machine learning (ML) applied in forecasting sunspot number of near-future in the literature. Reviews are conducted by presenting not only brief introduction of each method and processing operations on the sunspot number data, but also compare each one in aspects of outcomes, predictibilities and conclusions. The result of this review is that all 5 methods covered here have strength and limitations, but predictions are similar.","PeriodicalId":378372,"journal":{"name":"2021 International Conference on Networking, Communications and Information Technology (NetCIT)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114199274","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
Adaptive recognition system based on human face big data artificial intelligence clustering 基于人脸大数据人工智能聚类的自适应识别系统
2021 International Conference on Networking, Communications and Information Technology (NetCIT) Pub Date : 2021-12-01 DOI: 10.1109/NetCIT54147.2021.00027
Hui Du
{"title":"Adaptive recognition system based on human face big data artificial intelligence clustering","authors":"Hui Du","doi":"10.1109/NetCIT54147.2021.00027","DOIUrl":"https://doi.org/10.1109/NetCIT54147.2021.00027","url":null,"abstract":"With the development of big data related fields, the research of face recognition has made great progress. However, complex external uncertain factors are still one of the key issues affecting the performance of face recognition systems. Therefore, how to solve the impact of uncertain changes on the performance of face recognition has become a challenging problem in practical face recognition technology. This paper takes the face recognition problem under complex uncertain factors as the main research object, focuses on the in-depth study of artificial intelligence algorithms and clustering feature extraction algorithms, and proposes a corresponding adaptive recognition system scheme: based on improved graph face recognition algorithm And feature fusion face recognition algorithm based on artificial intelligence clustering.","PeriodicalId":378372,"journal":{"name":"2021 International Conference on Networking, Communications and Information Technology (NetCIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122363053","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
Design and Implementation of Crack Width Detection System Based on Android 基于Android的裂缝宽度检测系统的设计与实现
2021 International Conference on Networking, Communications and Information Technology (NetCIT) Pub Date : 2021-12-01 DOI: 10.1109/NetCIT54147.2021.00094
Yajun Chen, Li-Hsien Chen
{"title":"Design and Implementation of Crack Width Detection System Based on Android","authors":"Yajun Chen, Li-Hsien Chen","doi":"10.1109/NetCIT54147.2021.00094","DOIUrl":"https://doi.org/10.1109/NetCIT54147.2021.00094","url":null,"abstract":"In general, the method of conventional crack width detection based on PC is short of flexibility and convenience. A portable system for detecting crack width based on Android was researched and designed. Firstly, it used mobile phone camera to collect the crack image. Then, the collected image was processed by utilizing digital image processing technique, including preprocessing, filtering by utilizing morphological filter and canny edge-detection, and then extracted the edges of the crack and calculated the width. Compared the values of the system detected with the data of crack width detector, the relative error does not exceed 7%. The experimental results show that the system can detect the edges of the crack accurately and the width of the crack has higher accuracy compared with the standard width of the crack, so this system can make the measure more convenient and improve the efficiency of detection greatly.","PeriodicalId":378372,"journal":{"name":"2021 International Conference on Networking, Communications and Information Technology (NetCIT)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121999964","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 Reading Recognition Algorithm of Industrial Instruments Based on Faster-RCNN 基于Faster-RCNN的工业仪表读数识别算法研究
2021 International Conference on Networking, Communications and Information Technology (NetCIT) Pub Date : 2021-12-01 DOI: 10.1109/NetCIT54147.2021.00037
Liting Lei, Haifei Zhang, Q. Liu, Xiujing Li
{"title":"Research on Reading Recognition Algorithm of Industrial Instruments Based on Faster-RCNN","authors":"Liting Lei, Haifei Zhang, Q. Liu, Xiujing Li","doi":"10.1109/NetCIT54147.2021.00037","DOIUrl":"https://doi.org/10.1109/NetCIT54147.2021.00037","url":null,"abstract":"Industrial instruments are widely used in military, aerospace, industry and other fields, especially in the harsh environment of high temperature, high voltage and high radiation such as substation. According to the classification of counting mode, industrial instruments can be divided into pointer instruments and digital instruments. This paper proposes a simultaneous reading recognition algorithm of pointer and digital multi and multi type instruments based on Faster-RCNN network model. Aiming at the problems of complex background, insensitive to small targets and low detection accuracy of industrial instrument reading recognition system, a detection method of industrial instrument based on Feature Pyramid Network (FPN) and Faster-RCNN network is proposed in this paper. In addition, in order to improve the recognition accuracy, an adaptive training data sampling algorithm is introduced to improve the effectiveness of positive and negative training sample extraction. Finally, the experimental results of industrial instrument reading recognition algorithm are systematically analyzed. The results show that the algorithm can be well applied to multi type industrial instrument reading recognition.","PeriodicalId":378372,"journal":{"name":"2021 International Conference on Networking, Communications and Information Technology (NetCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128750725","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
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信