2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)最新文献

{"title":"An Improved Blockchain Consensus Protocol with Distributed Verifiable Delay Function","authors":"Mi Zhou, Xiaoming Lin, Ao Liu, Yiying Che","doi":"10.1109/ICETCI53161.2021.9563378","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563378","url":null,"abstract":"The difficulty adjustment algorithm (DAA) embeded in a proof of work (PoW)-based blockchain often causes a fluctuation on the block generation, which results in either no blocks for a long time or many blocks for a short time. In addition, this strategy also leads to potential attacks on the DAA (such as jumping mining attack, selfish attack, etc.). To solve these problems, we propose an improved blockchain consensus protocol which utilizes the PoW with a distributed verifiable delay function (DVDF). Our protocol can retain the proof of work mechanism to ensure that the probability of finding a suitable block. Also, With the DVDF, our protocol can ensure that all the miners perform a calculation that requires a relatively fixed time despite his/her considerable hashrate. Consequently, the fluctuation of the hashrate of the blockchain caused by the DAA can be dismissed by our scheme. Eventually, our improved consensus protocol can resist the attacks caused by this weakness. Finally, simulation experiments are proposed to support our improvements.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"32 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":"131597526","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":"Research on Key Technology of Online Detection for Particleboard","authors":"Haoran Zhang, Yuzeng Wang, Chen Yu","doi":"10.1109/ICETCI53161.2021.9563486","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563486","url":null,"abstract":"In this paper, the Support Vector Machine (SVM) combined with an Adaboost online detection algorithm is proposed for the problem of particleboard defect detection. The algorithm has improved the LTP feature value algorithm, and the Adaboost is improved to the accuracy of the particleboard defect. At the same time, this paper proposes a feature extraction method based on improved SURF algorithm and Tamura texture characteristics, and verifies the effectiveness and rapidity of the method in feature extraction. Effectively reduce the redundancy of sample training information, improve the efficiency and accuracy of the defect type identification.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"30 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":"131301251","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 Simulation in the Teaching of Electronic Technology","authors":"M. Bao, G. Liu","doi":"10.1109/ICETCI53161.2021.9563488","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563488","url":null,"abstract":"The engineering, application and practice of electronic technology determines that the experimental training has a special important position in the electronic technology course. Simulation teaching mode as a means of information teaching has solved the problem of shortage of teaching equipment and slow replacement of the curriculum. It is helpful for students to understand and analyze the composition and working principle of complex circuit and it is conducive to the cultivation of students' innovative ability. Simulation teaching mode brings great convenience to our teaching.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"27 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":"116582649","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":"Tracking Dynamic System Based on Developing BLDC Motor Model","authors":"A. Abdelrahim, Shi Liu, Nihad Abdalla","doi":"10.1109/ICETCI53161.2021.9563533","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563533","url":null,"abstract":"Brushless direct current (BLDC) permanent magnet machines are used in a wide range of applications due to their multiple advantages. It is important to develop stable drivers that meet the specific performance target of the application. It is extremely important to choose closed-loop parameters in case of multiple loops to control the BLDC motor. Most control systems work on the paths of dynamic targets in an area that needs certain types of motors to meet a set of goals, the most important of which is accuracy. Various soft computing technologies are currently being used to improve the response of control systems (BLDC) motors to build models using MATLAB software and Simulink space. This paper describes tracking a specific dynamic object by developing the BLDC motor model responsible for tracking purposes by designing a specific mechanism. A new intelligent control unit designed with a new theory (hall sensor) was used to solve the problem of tracking nonlinear dynamic systems. The proposed model showed good simulation results to track the position and speed of the dynamic object.","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":"130727933","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":"Analysis and Research of VAR Listed Monetary Fund Based on Big Data","authors":"Chenheng Xu","doi":"10.1109/ICETCI53161.2021.9563351","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563351","url":null,"abstract":"In 2013, Internet money fund products led by Yu'e Bao were born. They are dependent on the Internet and attract a large number of customers with their unique marketing platform, convenient trading methods and high liquidity. At present, Alipay, NetEase, SUNING, Tencent, Baidu, JD.com and other companies have joined the ranks. Many Internet money funds are springing up in the market like bamboo shoots after a spring rain. However, against the backdrop of a marked decline in the global economy affected by the COVID-19 epidemic, the reference rate of return of various Internet money funds has plummeted, with Tianhong Yu'ebao ‘s 7-day annualized yield falling below 2% to 1.855% for the first time since its establishment. In this paper, 20 sample funds are tested by VaR model, and the corresponding evaluation is given. The analysis results show that the overall value at risk of Internet money funds is not high, so it is suitable to avoid risk, but the rate of return and VaR do not fully reflect the market law of “high risk, high return; low risk, low return”, indicating that there is still a lot of room for improvement in risk control of Internet money funds in China. The development of Internet money fund has a profound impact on the traditional fund industry and even the whole financial industry. based on this, it is particularly important to analyze the development status, operation mechanism and risk of Internet money fund. Empirical analysis through data statistical test and ARCH effect test can analyze the risk more effectively and help investors understand Internet money fund products so that they can invest better. First of all, compared with the Internet money fund, the risk of bank wealth management products is relatively higher. Second, the risk spillover of Internet money funds and bank wealth management products is asymmetric, and the risk spillover of Internet money funds to bank wealth management products is stronger. Third, Internet money funds of banking and fund departments have positive risk spillover effects on bank wealth management products, which means that Internet money funds of banking and fund departments can aggravate the risk impact on China's commercial banks.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"25 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":"133483189","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":"Visual mapping of target tracing methods based on CiteSpace bibliometrics","authors":"Kai Yu","doi":"10.1109/ICETCI53161.2021.9563453","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563453","url":null,"abstract":"Visual target tracking is a hot problem in computer vision research in recent years, and the application fields are gradually increasing, such as unmanned driving, intelligent surveillance, etc. In recent years, with the wide application of deep learning in the field of computer vision, the field of target tracking has also developed rapidly, and many scholars have improved and innovated the target tracking. Common target tracking areas include single target tracking, multi-target tracking, pedestrian re-identification, multi-target multi-camera tracking, pose tracking for many complex scenarios. Eventually the problem will also be attributed to single target tracking or multi-target tracking, which has become the focus of many scholars' research. In view of the rapid development of this field, this paper presents a review of visual target tracking research, including a review and analysis of single-target tracking methods, a review and analysis of multi-target tracking methods, and a summary of the shortcomings of these methods, including the lack of fusion based on target detection methods, the decrease of real-time accuracy, and the problem of target loss in long-term target tracking. . And according to the shortcomings, the following suggestions are made: combining traditional algorithms based on filtering and deep learning algorithms, focusing on the improvement of the ideas of deep learning frontier theories, and improving the long-term target tracking loss.","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":"130185195","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":"Enhancing a Telemedicine Platform with Global Navigation Satellite System Technology and Clustering Algorithms for Supporting Epidemiological Analysis","authors":"Silvia Panicacci, Gianluca Giuffrida, M. Donati, Alberto Lubrano, Martina Olivelli, Alessio Ruiu, L. Fanucci","doi":"10.1109/ICETCI53161.2021.9563621","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563621","url":null,"abstract":"Telemedicine platforms have been largely used to manage multiple problems during the Covid-19 pandemic. In fact, they have given the possibility of remotely monitoring infected and high-risk patients, reducing hospitalisations. Telemonitoring systems with Global Navigation Satellite System technology allow to geo-localise all patients' measurements and enable the tracking of positions. These data can be used for contact tracing or to support doctors in epidemiological analysis. This paper presents the integration of satellite technologies in an existing telemedicine system (E@syCare), during the current outbreak. In particular, the platform has been enhanced with GPS, to geo-tag all vital parameters collected by the tablet gateway and the smartwatch. Geographical data are processed, after a request through the improved web-based medical interface based on some filters (e.g., vital parameters and their thresholds, considered period of time, and maximum cluster radius), with two sequential clustering algorithms. Agglomerative Clustering is used to find the optimal number of clusters given a maximum radius, and K-Means to effectively generate the predefined number of clusters. Resulting clusters are shown on an interactive epidemiological map in the web-based medical interface. This additional feature gives the possibility to healthcare authorities to correlate the spread of a disease or a virus with specific geographical areas or environmental conditions, to monitor fitness/movement habits of patients (also when the pandemic is over), and to track contact among patients.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"174 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":"116685776","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 Neural Graph Collaborative Filtering in Movie Recommendation System","authors":"Ying-Chun Hou","doi":"10.1109/ICETCI53161.2021.9563481","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563481","url":null,"abstract":"With the gradual development of movie recommendation system, in order to improve the recommendation effect of movie recommendation system, we must learn how to get a more effective embedding. The main purpose of this paper is to combine the neural graph collaborative filtering with the movie recommendation system. It utilizes the user-item graph data by propagating embeddings on it. Owing to the method, the expressive modeling of high-order connectivity in user-item graph could injecting the collaborative signal into the embedding process in an clear way. We make a large number of experiments on MovieLens dataset, and verified the effectiveness and correctness of the algorithms we used.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"10 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":"132302356","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":"Indoor Visible Light Positioning Method Based on TDOA and Fingerprint","authors":"Changyong Zhang, Dejian Li, Xi Feng, Lang Tan, Lixin Yang, Xiaokun Yang","doi":"10.1109/ICETCI53161.2021.9563479","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563479","url":null,"abstract":"Aiming at the problem of large amount of work in the matching stage of traditional visible light fingerprint positioning methods, an indoor high-precision visible light positioning method combining TDOA and fingerprints is proposed. This method first builds a visible light fingerprint library in the positioning area, and then uses the TDOA algorithm to determine the application range of fingerprint positioning. Finally, the weighted K-nearest neighbor algorithm is used to determine the position coordinates of the point to be located within the specified range. The simulation results show that the positioning method proposed in this paper greatly reduces the number of matching in the fingerprint matching stage compared with the traditional fingerprint positioning method, and has a higher positioning accuracy.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"7 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":"121955738","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":"Modeling and Analysis of Group Consumption Behavior of the Elderly under the Background of E-commerce","authors":"Zhang Haiteng, Li Longteng, Yang Lei, L. Silin, Zhu Kaili","doi":"10.1109/ICETCI53161.2021.9563457","DOIUrl":"https://doi.org/10.1109/ICETCI53161.2021.9563457","url":null,"abstract":"With the accelerated pace of aging in China, the elderly industry, known as the “silver economy”, is showing a trend of vigorous development. Because it has hundreds of millions of consumer groups, the elderly industry is also called “sunrise industry” by businessmen. First of all, this paper makes a systematic descriptive statistics according to the basic situation of the survey, ensures the reliability and stability of the survey scale through reliability analysis, and judges the correlation between variables through validity analysis. Cluster analysis is used to outline three types of consumer portraits to explore the willingness of different groups to integrate into e-commerce; LR model is used to explore the influence of gender, education, social interaction and other factors on the integration intention of e-commerce live streaming, and its influence degree under interaction is further analyzed by OR value. Through factor analysis to establish the factors affecting the purchase intention of middle-aged and elderly consumers, in order to analyze how to further develop the e-commerce market; to build a structural equation model to establish the interaction between indicators; the use of case analysis, in view of specific cases to discuss, to seek the future trend of e-commerce live shopping. The team spent nearly 3 months designing questionnaires, consulting literature, crawling data, conducting in-depth research, analyzing the survey results and writing reports. As this survey is during the epidemic period, most of the data come from online, so the data quality will decline to a certain extent.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"10 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":"129831047","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}