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2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)最新文献

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Eight-Band Orthogonal Wavelets for Fast Calculation 用于快速计算的八波段正交小波
2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688989
Qingyun Zou
{"title":"Eight-Band Orthogonal Wavelets for Fast Calculation","authors":"Qingyun Zou","doi":"10.1109/TOCS53301.2021.9688989","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688989","url":null,"abstract":"The symmetry or anti-symmetry 8-bank orthogonal wavelet filters for fast calculation with high order vanishing moment and short support are constructed by using the ingenious structure. The low-pass filter can determine seven high-pass filters by changing the sign and position in this wavelet system. This construction brings a lot of convenience for our calculation, which can be applied to the engineering background for using the free degrees.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"37 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":"129621547","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 Linear B-cell Epitopes using Manifold Adaptive Experimental Design and Random Forest Algorithm 基于流形自适应实验设计和随机森林算法的线性b细胞表位预测
2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9689029
Hongguang Yang, Yunfei Zhou, Bin Cheng
{"title":"Prediction of Linear B-cell Epitopes using Manifold Adaptive Experimental Design and Random Forest Algorithm","authors":"Hongguang Yang, Yunfei Zhou, Bin Cheng","doi":"10.1109/TOCS53301.2021.9689029","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9689029","url":null,"abstract":"Identification of B-cell epitope plays an important role in the design and development of immunodiagnosis kits and vaccines. Feature preprocessing approach and machine learning method have important influence on the development of epitope prediction models. Although several epitope prediction models based on machine learning have been developed, their accuracy are still unsuitable for vaccine development. Thus, a new and suitable method is necessary to improve prediction. In this study, we developed a novel framework based on random forest algorithm (RF) and Manifold Adaptive Experimental Design (MAED) algorithm for improved linear B-cell epitope called RF-maed. For testing dataset, the sensitivity (SEN), specificity (SPE), accuracy (ACC), and Matthews correlation coefficient (MCC) the RF-maed were 0.978, 0.993, 0.985, and 0.971, respectively. These experimental results demonstrate the accuracy and efficiency of our method using random forest algorithm to promote linear B-cell epitope prediction. The results suggest that the developed RF-maed is practical for the identification of B-cell epitope and developing reliable predictive model.","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":"129694835","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
Command and Control System in Intelligentized Warfare 智能化战争中的指挥与控制系统
2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688937
Xingxing Chen, Longxiang Li, Wei Zhang, Liwei Li
{"title":"Command and Control System in Intelligentized Warfare","authors":"Xingxing Chen, Longxiang Li, Wei Zhang, Liwei Li","doi":"10.1109/TOCS53301.2021.9688937","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688937","url":null,"abstract":"With the development of artificial intelligence (AI) technologies, the intelligentized warfare shows the trend of “being easier to attack than to defend” and the trend of “all-domain operation”. The intelligentized warfare is characterized by joint operation in which decentralized C2 is required to obtain decision-making advantages, so that frontline commanders can act independently according to the intention of their superiors. Driven by military demands, the edge C2 came into being as a central power. This paper explores the C2 system in intelligentized warfare, analyzes its differences from traditional C2 systems, discusses the decision-making advantages of IT-enabled edge C2 in information acquisition, transmission, processing and application and its operating mechanisms, and predicts the development trend of the intelligent C2 system, which is of great significance to the construction of intelligent operation system.","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":"130125544","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 Image Semantic Segmentation Model Based on Bidirectional Recursive Double Branch Network 基于双向递归双分支网络的图像语义分割模型研究
2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688901
Z. YuFeng, Wen Min
{"title":"Research on Image Semantic Segmentation Model Based on Bidirectional Recursive Double Branch Network","authors":"Z. YuFeng, Wen Min","doi":"10.1109/TOCS53301.2021.9688901","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688901","url":null,"abstract":"To solve the problem of road safety, express logistics industry, people begin to pay attention to no delivery, distribution and differences apparent change of scene scale is big, this paper presents a bidirectional recursive double branch network, reusable building blocks, in the form of circulation use of pairs of forward and backward jump connection to form the complex relationship between the encoder and decoder, at the same time, the double branch network is used to combine coarse information with fine information in the decoding stage, so as to restore the feature map more precisely, which helps to further improve the accuracy of the network.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"229 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":"116441814","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 Blockchain Smart Contract Optimization for Power Business Scenarios 面向电力业务场景的区块链智能合约优化研究
2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9689013
Zhuofan Wu, Wenhao Xue, Xinnan Wang
{"title":"Research on Blockchain Smart Contract Optimization for Power Business Scenarios","authors":"Zhuofan Wu, Wenhao Xue, Xinnan Wang","doi":"10.1109/TOCS53301.2021.9689013","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9689013","url":null,"abstract":"In the process of promoting the transformation and development of power grid, blockchain technology fits the development needs of energy Internet, and the combination of blockchain and electric power business is conducive to promoting the transformation of power grid production management and operation mode to the direction of intelligence and networking, which has a positive effect on the restructuring of electric power industry. However, due to the wide coverage of electric power industry, many kinds of terminal devices, large quantity, rich business scenarios and high requirements for real-time security, there are still many technologies that blockchain needs to break through in energy and electric power application scenarios. Smart contract, as one of the key technologies of blockchain, has low performance, inflexible transplantation, low execution efficiency and imperfect application mode in the power industry, which needs to be further optimized in conjunction with the requirements of power business scenarios. This paper proposes the customized development of smart contracts for electric power business through smart contract performance optimization technology, independent non-conflicting contract parallel execution technology, and smart contract cross-platform deployment technology, so as to realize process automation and intelligence, and improve business process efficiency under the premise of ensuring business security compliance.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"28 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":"128210995","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 of Error Correction Reflection Signal Based on IRS for A New Spatial Modulation 基于红外光谱的新型空间调制误差校正反射信号设计
2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688955
Tongkuai Zhang, Liu Yang, Yi Wang
{"title":"Design of Error Correction Reflection Signal Based on IRS for A New Spatial Modulation","authors":"Tongkuai Zhang, Liu Yang, Yi Wang","doi":"10.1109/TOCS53301.2021.9688955","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688955","url":null,"abstract":"Intelligent reflecting surface (IRS) is a new technology that improves the wireless channel environment through passive reflective units. On the basis of traditional spatial modulation (SM), we propose a new model in which the reflecting surface pattern is designed as a supervised symbol, and two reflective units are combined and cyclically coded using a new model. In comparison with the existing model, we found that it not only reduces the bit error rate (BER) but also simplifies the difficulty of project implementation. The simulation results show that this new type of system is significantly better than the current solution in terms of BER.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"97 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":"134304930","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
Information Security Risk and Solution of Computer Network under Big Data Background 大数据背景下计算机网络信息安全风险及解决方案
2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688648
Zhen Wang
{"title":"Information Security Risk and Solution of Computer Network under Big Data Background","authors":"Zhen Wang","doi":"10.1109/TOCS53301.2021.9688648","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688648","url":null,"abstract":"In this era of rapid information change, information security risks also follow. Due to the open computer network, computers often have some security problems in their daily use, which will not only leak the privacy of users, but also affect all the user’s property. Therefore, to ensure the safety of users of computer network information, the protection of computer network information security must be strengthened. This paper analyses the factors affecting computer network information security in the background of big data, analyses the common virus types, and proposes some countermeasures for the protection in the background of big data.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"67 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":"133501130","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
The Improvement of Corporate Performance Based on the Application of Big Data Technology 基于大数据技术应用的企业绩效提升
2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688740
Huijuan Lin, Jun-yi Li, Xiaoyan Chen, Shuqin Chen
{"title":"The Improvement of Corporate Performance Based on the Application of Big Data Technology","authors":"Huijuan Lin, Jun-yi Li, Xiaoyan Chen, Shuqin Chen","doi":"10.1109/TOCS53301.2021.9688740","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688740","url":null,"abstract":"Studying the impact of applying big data technology on corporate performance can help popularize and promote financial services, advance management accounting development, and help enterprises improve information collecting and analyzing ability. The concepts of cloud accounting and cloud computing based on big data provide an excellent prerequisite for enterprises to establish and improve the financial sharing service center. This paper details the development process and effectiveness of applying big data technology and financial sharing service center. With fortune 500 enterprises in China in 2019 selected as research samples, eight financial indicators that can reflect the comprehensive performance of enterprises are selected to study the impact of implementation of big data technology on corporate performance based on panel data regression model. Finally, the empirical results of this paper indicate that big data technology affect enterprises mainly by reducing costs and improving benefits, increasing operational efficiency, strengthening management and control capabilities, improving business results and enhancing corporate performance. This paper analyzes the empirical results and provides suggestions on the implementation of big data technology for development.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"43 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":"126957967","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
A Cloud Resource Prediction and Migration Method for Container Scheduling 一种用于容器调度的云资源预测与迁移方法
2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9689034
Siyuan Zheng, Fenfen Huang, Chen Li, Haobin Wang
{"title":"A Cloud Resource Prediction and Migration Method for Container Scheduling","authors":"Siyuan Zheng, Fenfen Huang, Chen Li, Haobin Wang","doi":"10.1109/TOCS53301.2021.9689034","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9689034","url":null,"abstract":"With the continuous evolution of cloud-native, more and more applications are deployed on the container. As the business platform runs many container instances and has complex dependency relationships, the load of cloud resources fluctuates due to service status, resulting in task scheduling difficulties and affecting service stability. In this paper, we propose a container resource migration scheduling algorithm called UVPOC, and establish a two-level scheduler mechanism to monitor global real-time resources, choosing LTSM to predict the trend of the dominant resource utilization and determine whether to perform container migration or Virtual Machines (VMs) pre-boot to implement resource allocation. In addition, we choose CloudSim open source tool for simulation experiments. The results show that our UVPOC algorithm can improve the global resource utilization of containers and virtual machines, and reduce the energy consumption of data center resources.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"80 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":"116097015","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: 4
Design and Implementation of Analysis System for Popular Scenic Spots 热门景点分析系统的设计与实现
2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2021-12-10 DOI: 10.1109/TOCS53301.2021.9688710
Jinlin Ren, Yang Gong
{"title":"Design and Implementation of Analysis System for Popular Scenic Spots","authors":"Jinlin Ren, Yang Gong","doi":"10.1109/TOCS53301.2021.9688710","DOIUrl":"https://doi.org/10.1109/TOCS53301.2021.9688710","url":null,"abstract":"Modern society has a more urgent need to go out and play. In order to better analyze the scenic spot information, a crawler-based data analysis software for popular scenic spots is hereby designed, which mainly includes three modules: GUI(Graphical User Interface) module, crawler module, data analysis and visualization module. All programming is implemented in Python language. The experimental results show that the system can run stably and the analysis results are accurate, helping people to better choose tourist attractions.","PeriodicalId":360004,"journal":{"name":"2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"92 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":"126047861","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
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