{"title":"Research and Optimazation on Evaluation Index Prediction Using Grey Neural Network and Big Data","authors":"Yuanhang Xiao, Xingyue Zhao, Yi Wu","doi":"10.1109/ICETCI53161.2021.9563267","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563267","url":null,"abstract":"Aiming at the research problem of the valuation level of the stock market and its quantitative relationship with the fundamental index and liquidity index, this paper makes all the original data fall into the tolerable coverage domain through the method of series level ratio. The random error term of time series is eliminated by summation of sequence in grey prediction model. The cumulative time series is used as the input layer neuron of the neural network, and the grey neural network prediction model is established to quantitatively describe and predict the valuation level, and the weighted average price/sales ratio is used to obtain the overall valuation level of the science and technology innovation.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117236490","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}
{"title":"Multi-Scale Feature Fusion Network for Video-Based Person Re-Identification","authors":"Penggao Liu, M. Ai, Guozhi Shan","doi":"10.1109/ICETCI53161.2021.9563438","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563438","url":null,"abstract":"In recent years, person re-identification technology has been greatly developed. Image-based person re-identification algorithms have achieved excellent performance on open source datasets. In contrast, the development of video-based person re-identification technology is relatively backward. At present, the main research work of video-based person re-identification algorithms is focused on the processing of temporal information in the picture sequence. Complex appearance features are not effective when performing temporal fusion, so the frame-level features used are almost based on global features. This paper proposes a video person re-identification model based on multi-scale feature fusion. The multi-scale feature fusion of the model is embodied in the design of the frame-level feature extraction module. This module extracts the frame-level features of different scales, and then catenates them together into vectors, which not only improves the feature discrimination degree, but also makes the catenated frame-level features carry out effective temporal fusion, and the test results on the Mars dataset have reached a competitive level. At the same time, a series of comparative experiments were carried out on the model parameters to achieve further optimization of performance.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122981204","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}
{"title":"Design of Discrete Mathematics Network Teaching Platform Based on Wechat Public Platform","authors":"Zhang Zhiping, Wu Guangsheng, Zou Donglan","doi":"10.1109/ICETCI53161.2021.9563616","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563616","url":null,"abstract":"by investigating the knowledge architecture of discrete mathematics, combined with the actual situation of the course, the network teaching platform of discrete mathematics based on wechat public platform is developed and designed. The platform has passed the test of function test and realized the function of teaching assistance, which has a certain reference value for the current exploration of intelligent education.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126196825","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}
Changgui Hu, Chengdong Yang, Xiaotong Fang, Hui Zhi, Linsheng Hang
{"title":"A D2D resource allocation method for IoT network","authors":"Changgui Hu, Chengdong Yang, Xiaotong Fang, Hui Zhi, Linsheng Hang","doi":"10.1109/ICETCI53161.2021.9563426","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563426","url":null,"abstract":"For IoT terminals, how to effectively reduce cochannel interference and increase the transmission access rate are key issues that need to be resolved at present. In this paper, D2D communication technology is employed to improve the data rate and spectrum efficiency of IoT network, based on which a D2D resource allocation method with respect to maximum capacity gain is proposed. This method adjusts communication interference by using power control with a geometric programming algorithm first. Then, Hungarian algorithm is utilized to achieve the best match between spectrum resources and D2D terminals. Simulation results show that the proposed resource allocation method can improve the transmission access rate and system capacity gain.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125946722","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}
{"title":"Design of an Intelligent Inspection System for Belt Conveyors in Ports","authors":"Panpan Zhang, Haobai Wen","doi":"10.1109/ICETCI53161.2021.9563424","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563424","url":null,"abstract":"Belt conveyors are the key equipment of bulk material transportation in ports. In the daily operation process, performance of belt conveyors are mostly inspected by manual, which are time-consuming and low-efficient.in this paper, a novel intelligent inspection system for a belt conveyor was put up. The main composition and function were introduced. In the near future, intelligent inspection for belt conveyors will be well applied.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126877895","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}
Linhai Guo, Na Liu, Xinlei Li, Hankai Yang, W. Huang
{"title":"A Service Continuity Management Algorithm in LTE-V2X Assisted by MEC","authors":"Linhai Guo, Na Liu, Xinlei Li, Hankai Yang, W. Huang","doi":"10.1109/ICETCI53161.2021.9563521","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563521","url":null,"abstract":"The LTE-V2X technology supported by 3GPP has gradually become the international mainstream communication standard of internet of vehicles (IoV), which can provide mobile vehicle-mounted terminals with low delay, high coverage and high-capacity services. However, mobility management of IoV is still a huge challenge. In order to solve this problem, we deploying multi-access mobile edge computing (MEC) servers for LTE-V2X, and the collaborative timing management method of MEC service migration and handover (HO) is provided according to the deployment model, firstly. Secondly, the time to trigger (TTT) and hysteresis factor (Hys) are dynamically adjusted by fuzzy logic according to the driving speeds of the mobile vehicle-mounted terminals, which effectively controls the timing of HO and avoids the occurrence of ping-pong HO to a certain degree. Finally, the entropy weight method (EWM) and the grey relation analysis algorithm (GRA) are combined to make a HO decision, and the best target evolved node B (eNB) is selected for the HO, which further improves the success rate of the HO.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122260173","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}
{"title":"Study on the operation time of FFT permutation algorithm","authors":"Zhou Jiang","doi":"10.1109/ICETCI53161.2021.9563563","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563563","url":null,"abstract":"The input data need to be sorted before the in-situ operation of FFT(Fast Fourier Transform). The main methods include calculating the reversed data serial number according to the positive data serial number, calculating the reversed data serial number based on the previous reversed data serial number, and table look-up. Through the simulation on IAR and KEIL platforms, this paper studies the operation time of various algorithms. The experimental results are highly consistent on two platforms. The results show that the most direct and simplest table look-up method is obviously better than the other two methods in terms of the operation time.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128171711","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}
Yingwei Zhao, Zhen Wang, Yunying Man, H. Wen, Wen Han, Peiyao Wang
{"title":"Intelligent charging recommendation model based on collaborative filtering","authors":"Yingwei Zhao, Zhen Wang, Yunying Man, H. Wen, Wen Han, Peiyao Wang","doi":"10.1109/ICETCI53161.2021.9563497","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563497","url":null,"abstract":"In recent years, the development of new energy vehicles in the world has entered the industrial scale, but electric vehicles (EVs) have the disadvantage of short driving range due to the capacity of the battery, which need to supplement electric energy in charging stations. Although the number of charging piles for EVs is increasing day by day, its growth rate has not caught up with the charging demand for EVs. In order to provide personalized charging service for users with convenient power consumption and efficient charging, a set of intelligent recommendation model for EV charging is proposed based on collaborative filtering algorithm, which provides optimal charging method based on the user's historical behavior data.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127368656","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}
{"title":"Application of Text Mining Technologies Based on Indexing Model & Public Databases","authors":"Xiao Fu","doi":"10.1109/ICETCI53161.2021.9563523","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563523","url":null,"abstract":"To explore associated clinical tests with pancreatic cancer and determine most relevant publications. In this analysis study, an indexing model is used to retrieve literature from PubMed from 2002 to 2017 associated with pancreatic cancer. We implement experiments on 6466 publications associated with pancreatic cancer risk searched from PubMed from 2002 to 2017. The number of testing terms and genes used in this paper is 3880 and 375. Clinical tests are searched from http://www.mayomedicallaboratories.com which are constantly updated by Mayo Medical Laboratories and 375 genes are produced by incorporating four gene-disease databases, including OMIM, Orphanet, ClinVar and GWAS Catalog which may be expanded in the future. This study integrates literature, databases, clinical information and interpretation for clinical tests and statistical methods. We find associated clinical-test terms with pancreatic cancer risk using an indexing model and rank documents on our knowledge-based language model. 21 clinical-test terms involved with 186 publications and 106 genes involved with 732 documents are found after retrieving 6466 publications. 15 documents which both genes and clinical-test terms appear in (PubMed ID: 25481712(KRAS, Secretin), 25058882(KRAS, Cholecystokinin), 26764183(Whole-Exome Sequencing, APC, MLH1, MSH6, POLE, TP53, KRAS), etc.) are ranked according to our Knowledge-based Language Model (KLM), which integrates additional knowledge of genes and the language generation process into original language model.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132736680","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}
{"title":"Trend Analysis of Aerospace Quality Management Based on Knowledge Graph","authors":"P. Han, Jing Hou","doi":"10.1109/ICETCI53161.2021.9563534","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563534","url":null,"abstract":"Space industry is extremely complex and risky. From the perspective of the development of domestic and international aerospace industry, every occurrence and treatment of quality problems is always promoting the continuous progress of management and technology. In the development process of more than 60 years, China's aerospace industry has experienced the “darkest moment” of continuous occurrence of quality problems and the “highlight moment” of continuous success, basically formed the quality management work idea with the main line of preventing problems, returning to solve problems and exploring rules. Based on knowledge graph(KG), this paper analyzes the research on aerospace quality management in recent 20 years at home and abroad, gives the hot spots and research trends of aerospace quality management at home and abroad, and analyzes the similarities and differences of aerospace quality management at home and abroad. The research results of this paper have certain reference significance for understanding the different characteristics and future focus of aerospace quality management at home and abroad.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133426397","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}