Youxiang Du, Baoyu Xie, Mingxiang Ba, Zunyan Zhang
{"title":"Remote Real-Time Interaction Technology of Wind Power Based on AR","authors":"Youxiang Du, Baoyu Xie, Mingxiang Ba, Zunyan Zhang","doi":"10.1109/TOCS53301.2021.9688912","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688912","url":null,"abstract":"with the continuous development of China's energy modernization reserve, the development of various new energy sources is becoming more and more important. As the most important part of China's clean energy, how to carry out real-time interactive control of wind power energy is the key of wind power energy management, and the use of AR technology plays a key role in remote control. Augmented reality technology is a new technology developing continuously in virtual reality technology. By combining the real-time interaction of wind power control and the situation that may occur at any time in the control process, the virtual interaction system is established to perfectly simulate and reproduce the virtual reality scene and real control situation, so as to give users a sense of experience beyond reality. The experimental results show that the research on remote real-time interaction technology of wind power based on AR improves the efficiency of wind power management by 8.36%. On mobile devices, with the help of virtual reality technology and camera, AR technology can be realized and meet the needs of applications in some fields. By studying the technical means of camera real-time attitude estimation and three-dimensional registration in unknown environment, in order to achieve the integration of virtual wind power scene and real scene, so as to focus the wind farm scene in the hands of the controller. According to the limitations of the research on wind power remote real-time interaction, the automatic extraction is updated and iterated in an innovative way, and the layout and location information of various interaction scenes are analyzed, discussed and summarized, so as to provide the research results of wind power remote real-time interaction technology of AR in China.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127532590","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":"Optimization of Distribution Mode of the Fresh Food Logistics Front Warehouse from the Perspective of Intelligent Logistics","authors":"Xudong Wu","doi":"10.1109/TOCS53301.2021.9688917","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688917","url":null,"abstract":"Intelligent logistics is to use intelligent technology to integrate artificial intelligence into the logistics distribution process and improve the service efficiency and service quality of the logistics industry. With the development of fresh e-commerce industry, \"artificial intelligence + logistics\" can optimize the distribution links and improve the logistics efficiency by using big data analysis and intelligent algorithms. Due to the imperfection of the cold chain logistics system and the lack of infrastructure construction, it is difficult to guarantee the quality of fresh products during the transportation process, the product consumption rate is high, and the distribution efficiency is low. The \"front warehouse\" distribution model is a new logistics distribution model that innovates the traditional distribution model. This paper has analyzed the optimization problem of the fresh food e-commerce model with the fresh food logistics front warehouse distribution model. The SWOT method is used to analyze the advantages, disadvantages, opportunities and challenges of the fresh food e-commerce front warehouse model, combine with the analytic hierarchy to carry out quantitative analysis. The results show that, in the optimization of the logistics model of fresh food e-commerce front warehouse, a growth-oriented development strategy should be adopted to give full play to the own strength of fresh food e-commerce front warehouse, focus on grasping the opportunities in the development process, at the same time, sort out and understand its own weakness, analyze and avoid threats.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127380328","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":"Advanced Manufacturing Data Space Visualization Based on PCA-Radviz Model","authors":"Jianjun Wang, Yan Zhou, Ran Wang","doi":"10.1109/TOCS53301.2021.9688965","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688965","url":null,"abstract":"Radviz method is a more commonly used method to visualize multi-dimensional data into a two-dimensional plane, but if there are too many dimensions, Radviz will be shortcomings of overlapping of data performance. At present, China’s industry has entered the stage of advanced manufacturing. With the development of Internet technology and big data technology, a big data environment has been created along with the manufacturing supply chain, and the advanced manufacturing data are always belonging to a high-dimensional data, it is difficult to present by Radviz, this paper proposes a visualization algorithm for advanced manufacturing based on principal component analysis(PCA) and Radviz visualization method, which can optimize the expression of multi-dimensional time series on a two-dimensional plane after dimensionality reduction using PCA. Finally, the paper uses power supply as a visual example to verify the proposed mode, and the results show that the proposed model can indeed provide decision-makers with more intuitive decision-making information.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114899344","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 the construction of College English mobile translation practice platform based on Corpus","authors":"Qi Yuan","doi":"10.1109/TOCS53301.2021.9688729","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688729","url":null,"abstract":"With the rapid development of mobile Internet technology, the traditional translation practice platform of College English (CET) has some limitations, such as poor real-time interaction, insufficient monitoring and intervention, and weak personalized design, which can not meet the needs of translation practice teaching. More and more translation software and corpus technology represented by Trados are used in the field of translation at home and abroad, but most domestic scholars have not applied corpus to the development and construction of College English websites, and there are few research results in this field. Through analysis, this paper builds a mobile translation practice platform based on corpus, builds a corpus platform, and supports mobile access, so as to provide convenience for ordinary English learners to search corpus and assist English autonomous learning. This paper points out the construction method of the practice platform that meets the needs of CET translation teaching, with a view to providing reference for CET translation practice teaching.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133628313","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":"SSLP-Based Micro-Application Terminal Access Authority Authentication Method","authors":"Fengjuan Ma, Dawei Song","doi":"10.1109/TOCS53301.2021.9688741","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688741","url":null,"abstract":"In today's society, consumer online consumption, online payment between merchants and other business operation models are developing rapidly, and are gradually changing people's lives and work. However, due to the openness of the Internet itself, the security problems brought by it have become a serious problem for Internet-based e-commerce activities and become an important factor hindering e-commerce. At present, the main solution to the security problems of e-commerce activities is based on SSLP and SETP micro-application terminals. This article is mainly based on the analysis of SSLProtocol to design a solution for micro-application terminal access authorization authentication. The mainstream security technology architecture is mainly divided into five levels: network services, encryption technology, security certification, security protocol and system applications. The network service layer is at the first layer. It is mainly responsible for network monitoring and scanning, virus prevention, network intrusion detection and acting as a firewall. The second layer is the encryption layer, and the main encryption methods are symmetric encryption and asymmetric encryption. Each of these five-layer structures is related, and the security protocol is mainly SSLProtocol. Experimental conclusion: This experiment is mainly to use the sslProtocol plan to improve the security performance of e-commerce by more than 50%, make full use of the advantages of Protocol, ensure consumer safety, and improve a healthy and safe network environment.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127180087","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":"Machine Reading Comprehension of High-Tech Industry Policies: A New Dataset and Chinese Pre-Trained Language Model","authors":"Changchang Zeng, Shaobo Li, B. Chen","doi":"10.1109/TOCS53301.2021.9688582","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688582","url":null,"abstract":"Machine reading comprehension (MRC) is a challenging research hotspot in the field of Artificial Intelligence (AI). It can be applied to many scenarios, such as intelligent question answering, intelligent document retrieval, and so on. In this article, we focus on the machine reading comprehension of high-tech industry policy texts in China. First, we create a cloze style machine reading comprehension dataset of Chinese high-tech industrial policies. Next, we propose a new pre-training objective named multi-segment ordering discriminator, and we also use domain-specific dictionary to improve the MLM pre-training process. Finally, on our dataset, we trained a new pre-trained language model for machine reading comprehension of Chinese industrial policies. Experiment results show that our pre-trained language model surpasses existing models such as BERT and RoBERTa in the new dataset.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130515376","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 Motion Control of Smart Underwater Stirring Robot","authors":"Fangjian Ning","doi":"10.1109/TOCS53301.2021.9688792","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688792","url":null,"abstract":"Aeration tanks are widely used in sewage treatment plants, and the most common configuration is activated sludge treatment plants. The aeration tank is an important part of the activated sludge process, which promotes the oxidation and decomposition of microorganisms by continuously blasting the sewage in the aeration tank. Stirring plays an important role in determining the overall performance of the biological reaction of the aeration tank. However, the current stiring method has a stiring dead zone and uneven oxygen concentration, causing sludge precipitation to affect the aeration effect of the bottom aeration pipe, and at the same time, the biological oxygen demand of the aeration tank is insufficient, which ultimately affects the overall evolution of the aeration tank. Work efficiency is reduced. This paper proposes a novel concept of underwater stiring robot, which is used in sewage treatment aeration tank stiring to prevent precipitation and promote uniform oxygen concentration. It has the advantages of high flexibility, low energy consumption, and low cost. According to the basic functional requirements, the dynamics and control system are analyzed and discussed, and the control technology suitable for aeration tank stirring underwater robot is proposed.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132726116","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 Intrusion Detection Model Based on Bagged Tree","authors":"Pengtian Chen, Fei Li, Jiatian Li","doi":"10.1109/TOCS53301.2021.9688618","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688618","url":null,"abstract":"Intrusion detection is an important step to ensure network security. Under today’s network environment, because of the increasing complexity of network security issues and the increasing amount of network security data, intrusion detection systems require higher recognition accuracy. The accuracy and effectiveness of traditional methods of intrusion detection no longer meet the need of today’s big data era. In the past ten years, the performance of the classifier is further improved with the development of machine learning, so we chose to apply machine learning on intrusion detection. In this paper, we propose a new intrusion detection method, which is based on Bagged Tree, and the data set UNSW_NB15 is used to verify the model. Experimental verification proves that the model designed in this paper has higher detection accuracy than previous classic intrusion detection algorithms.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"975 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132788410","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":"Fire Detection of Satellite Remote Sensing Images Based on VGG Ensemble Classifier","authors":"Yang Yang, Zhihui Li, Jing Zhang","doi":"10.1109/TOCS53301.2021.9688675","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688675","url":null,"abstract":"It is an important application of satellite remote sensing image to detect fire spots timely. Traditional methods mostly used the threshold judgment on the mid-infrared or short-wave infrared bands, with a low accuracy. In order to improve the detection performance, we proposed a new fire detection method based on Landsat-8 images. The method included two steps. First, threshold judgment based on the normalized burning ratio Short-wave (NBRS) was used to determine the fire spot candidates, and a large number of non-fire pixels were quickly removed. After that, the block images formed by four kinds of band combinations were extracted at the candidate spot positions. Four detection models were constructed using adjusted VGG network in this paper. The final fire detection results were derived through weighted voting of the classification results of the four models. For it is difficult to obtain fire spot image samples, transfer learning was used in VGG model training. The proposed method was tested on six untrained remote sensing images. 83% of the detected fire spots were correct and the missing rate was 5%. The experimental results showed that our proposed method not only improved the detection accuracy, but the method was more robust than traditional methods.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134072386","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":"Role of underlying diffusion mechanism and information digitization in a global network of streaming music","authors":"Xinjie Lyu","doi":"10.1109/TOCS53301.2021.9688745","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688745","url":null,"abstract":"Leveraging top charts in over 60 countries in the year 2017-2021 from the world’s largest streaming platform Spotify, I characterize music consumption patterns by constructing a global network of music diffusion between issuing countries and consuming countries. I adopt Hofstede’s Cultural Dimensions theory to explain the underlying mechanism of music diffusion. In particular, I find that cultural differences between countries are negatively correlated with music diffusion. Further investigation using network analysis suggests that the music diffusion is asymmetric across countries: music issued by countries in the central positions of the network exerts more influence than those from other countries in the peripheral positions. Moreover, using clustering analysis, I demonstrate that the similarity of music tastes between countries in terms of acoustic features is positively correlated with their cultural similarity. Through my findings, I identify the important role of national culture in alternatively explaining music diffusion beyond the existing beliefs of common language and geographic proximity, which may shed light on music production and promotion in the streaming music era.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133448254","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}