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International Conference on Green Communication, Network, and Internet of Things最新文献

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Research on object model construction technology of test and training enabling architecture 测试与训练使能体系结构对象模型构建技术研究
International Conference on Green Communication, Network, and Internet of Things Pub Date : 2023-03-08 DOI: 10.1117/12.2667504
Shuaihua Gao, Jianhua Zhang, Chuan Wang
{"title":"Research on object model construction technology of test and training enabling architecture","authors":"Shuaihua Gao, Jianhua Zhang, Chuan Wang","doi":"10.1117/12.2667504","DOIUrl":"https://doi.org/10.1117/12.2667504","url":null,"abstract":"In order to solve the increasing number of range tests and break the \"chimney\" between various test sites, the US military first proposed and built TENA (testing and training architecture), which realized the unified test of different geographical distribution and different test sites, greatly shortened the test cost and cycle, and became the benchmark of future joint tests. Among them, the test object is the main body of the joint test site. How to build the test object model quickly and accurately is the key to realize composability, reusability and interoperability among joint test sites. At present, there are many researches on the overall framework of joint test in China, and few researches on the construction technology of test object model. Based on the meta model, this paper designs a set of methods for constructing object model, realizes the design of virtual object model, and constructs it. The simulation verifies the effectiveness of this method, and provides technical reference for the research of multi-regional joint test field in China.","PeriodicalId":143377,"journal":{"name":"International Conference on Green Communication, Network, and Internet of Things","volume":"12586 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128820113","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
Chemical commodity price forecast based on multi-factor combination model 基于多因素组合模型的化工商品价格预测
International Conference on Green Communication, Network, and Internet of Things Pub Date : 2023-03-08 DOI: 10.1117/12.2670474
Qingliang Zhao, Yuan Chao, Yiduo Wang
{"title":"Chemical commodity price forecast based on multi-factor combination model","authors":"Qingliang Zhao, Yuan Chao, Yiduo Wang","doi":"10.1117/12.2670474","DOIUrl":"https://doi.org/10.1117/12.2670474","url":null,"abstract":"Chemical products are the cornerstone of agricultural development and provide important raw materials for industrial and agricultural production. Their quality, quantity and price stability are closely watched by upstream and downstream industries. Therefore, it is of great practical and theoretical significance to accurately predict the prices of various chemical products. Due to the influence of various factors on the price of chemical products, they show strong nonlinear, non-stationary and no obvious trend characteristics. It is difficult for the traditional single model to capture the internal hidden laws of their data. Based on this, this paper proposes a combination forecasting model based on data decomposition, which can deeply mine the potential volatility characteristics within the data, so as to better grasp the volatility law and realize its price forecast. Guided by the idea of \"decomposing input and combining output,\" this paper constructs a price forecasting model based on multi factor decomposition and integration, and explains and forecasts it from the factor level.","PeriodicalId":143377,"journal":{"name":"International Conference on Green Communication, Network, and Internet of Things","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121298018","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
Construction of online monitoring and fault diagnosis system for mechanical equipment based on BP neural network 基于BP神经网络的机械设备在线监测与故障诊断系统的构建
International Conference on Green Communication, Network, and Internet of Things Pub Date : 2023-03-08 DOI: 10.1117/12.2670558
Yulin He
{"title":"Construction of online monitoring and fault diagnosis system for mechanical equipment based on BP neural network","authors":"Yulin He","doi":"10.1117/12.2670558","DOIUrl":"https://doi.org/10.1117/12.2670558","url":null,"abstract":"In view of the problems of ambiguous symptoms of faults and data and overlapping fault features in the process of mechanical equipment fault diagnosis, this paper will take the deep learning model as the core, adopt the method of BP neural network and information fusion, and complete the construction and training of mechanical equipment fault diagnosis model with the help of class libraries such as Numpy and Matplotlib in Python environment, so as to form an intelligent module that can support the call of Web server. At the same time, this paper will also combine Django framework, use Pycharm tool to complete the development of Web server, improve the definition and deployment of functions and data interfaces, and generate a Web-based online monitoring and fault diagnosis system for mechanical equipment. The overall design of the system chooses B/S architecture, which supports users to remotely operate and visit the Web server to monitor the operation of mechanical equipment, and can classify the historical data of mechanical equipment with the characteristic values of fault frequency domain, and make corresponding predictions to realize the diagnosis of mechanical equipment faults. The construction of the system not only effectively improves the accuracy of mechanical equipment fault diagnosis, but also makes a beneficial attempt for the intelligent reform of the overall operation mode.","PeriodicalId":143377,"journal":{"name":"International Conference on Green Communication, Network, and Internet of Things","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122501690","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
Pedestrian dangerous action recognition in infrared image based on Resnet18 network 基于Resnet18网络的红外图像行人危险动作识别
International Conference on Green Communication, Network, and Internet of Things Pub Date : 2023-03-08 DOI: 10.1117/12.2667410
Yujuan Wang, Xu Dong, Zhixuan Zhao, Wei Shan
{"title":"Pedestrian dangerous action recognition in infrared image based on Resnet18 network","authors":"Yujuan Wang, Xu Dong, Zhixuan Zhao, Wei Shan","doi":"10.1117/12.2667410","DOIUrl":"https://doi.org/10.1117/12.2667410","url":null,"abstract":"The effective identification of pedestrian dangerous actions at night was a core task of unmanned driving and intelligent assistant driving system. Limited by the network depth and learning ability of traditional convolutional neural network, the performance of the algorithm and its improvement were still unsatisfactory. Considering the imaging characteristics of the camera at night, this paper proposed an infrared pedestrian dangerous action recognition algorithm based on residual network to recognize pedestrian actions at night. Resnet18 network framework was adopted according to the characteristics of infrared images and the scale of problems. In order to adapt to the network input format, the infrared image in the database were preprocessed. The experimental results in the actual infrared pedestrian dangerous action dataset indicated that the mean precision of the proposed method for six types of dangerous actions was improved to 98.3%, and the average recall rate was improved to 98.1%, which was better than the traditional recognition method.","PeriodicalId":143377,"journal":{"name":"International Conference on Green Communication, Network, and Internet of Things","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127285279","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
Elasticsearch-based heterogeneous data migration method of enterprise information system 基于elasticsearch的企业信息系统异构数据迁移方法
International Conference on Green Communication, Network, and Internet of Things Pub Date : 2023-03-08 DOI: 10.1117/12.2667764
Chang Su, Shan Zheng, Donghui Tong, Lisha Zhang, Zhiyong Chen
{"title":"Elasticsearch-based heterogeneous data migration method of enterprise information system","authors":"Chang Su, Shan Zheng, Donghui Tong, Lisha Zhang, Zhiyong Chen","doi":"10.1117/12.2667764","DOIUrl":"https://doi.org/10.1117/12.2667764","url":null,"abstract":"With the continuous promotion and innovation of information technology and application, the governments all around the world begin to build their own data information management system and try to accelerate the implementation of domestic independent iterative upgrade, in which the data migration becomes vitally important to the success of such process. In this paper, we rely on using the dynamic mapping, distributed extensibility and unstructured data processing capabilities of the distributed full-text retrieval framework Elasticsearch, and then propose a heterogeneous data migration method, which can solve the shortcomings of traditional methods that are usually used to process isomorphism data. The application of this method not only meets the needs of the physical migration of historical data to the homemade autonomous controllable ecology, but also supports the more flexible and secondary use of the historical heterogeneous data.","PeriodicalId":143377,"journal":{"name":"International Conference on Green Communication, Network, and Internet of Things","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124870299","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
The design of low-power demodulation circuit for AmBC based on DTMB 基于DTMB的AmBC低功率解调电路设计
International Conference on Green Communication, Network, and Internet of Things Pub Date : 2023-03-08 DOI: 10.1117/12.2667482
ChengXiao Ruan, Yi. Zhu, Hongyi Wang, Liming Zheng
{"title":"The design of low-power demodulation circuit for AmBC based on DTMB","authors":"ChengXiao Ruan, Yi. Zhu, Hongyi Wang, Liming Zheng","doi":"10.1117/12.2667482","DOIUrl":"https://doi.org/10.1117/12.2667482","url":null,"abstract":"The emergence of AmBC (Ambient Backscatter Communication) technology makes it possible for IoT (Internet of Things) devices to complete communication with the help of ambient RF signals. With high domestic coverage and strong stability, DTMB (Digital Terrestrial Multimedia Broadcast) signals have natural advantages in combination with AmBC. However, the existing AmBC signal demodulation algorithm based on DTMB requires the receiver to realize analog-to-digital conversion, which is difficult to be applied to low-power IoT devices. Therefore, this paper provides a design scheme of a low-power demodulation circuit, in which the receiver can identify the frame header and frame body of the DTMB signal, select the corresponding comparison threshold and get the digital demodulation signal. Finally, the scheme is verified by simulation.","PeriodicalId":143377,"journal":{"name":"International Conference on Green Communication, Network, and Internet of Things","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121889296","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
Exploring digital timestamping using smart contract on the Solana blockchain 在Solana区块链上使用智能合约探索数字时间戳
International Conference on Green Communication, Network, and Internet of Things Pub Date : 2023-03-08 DOI: 10.1117/12.2667788
Jian-Sen Wang
{"title":"Exploring digital timestamping using smart contract on the Solana blockchain","authors":"Jian-Sen Wang","doi":"10.1117/12.2667788","DOIUrl":"https://doi.org/10.1117/12.2667788","url":null,"abstract":"Timestamps establish a means to dictate the existence of a message at a particular moment in the past. Traditional digital timestamping service utilizes Public Key Infrastructure (PKI) and thus requires the presence of a Time Stamping Authority, whose job is to ensure the message’s validity. However, with the rise of distributed computing and blockchain technology, it has become possible to obtain timestamps in a decentralized manner, eliminating the need for central authorities. Previous research involves sending transactions or utilizing a smart contract mechanism to store hashes on blockchain and validating the outcome using public ledgers. By prototyping a simple digital timestamping protocol on the Solana blockchain, this article explores the natural advantages of the Solana blockchain for timestamping, implements a smart contract of digital timestamping on the Solana blockchain, and measures its latency, costs, and performance. The initial estimation expects the accuracy of the timestamps produced by the prototype to reach the average sub-second slot time. However, due to network propagation delay, it is not always possible to hit this level. The cost incurred during the process is also analyzed and discussed. Finally, this article highlights the potential ability of the blockchain to provide modern decentralized services.","PeriodicalId":143377,"journal":{"name":"International Conference on Green Communication, Network, and Internet of Things","volume":"12586 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129397359","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
Crack image generation algorithm based on deep convolutional generative adversarial network 基于深度卷积生成对抗网络的裂纹图像生成算法
International Conference on Green Communication, Network, and Internet of Things Pub Date : 2023-03-08 DOI: 10.1117/12.2667214
Di Zhang, MingChao Liao, Xixiang Wang, Lalao Gao
{"title":"Crack image generation algorithm based on deep convolutional generative adversarial network","authors":"Di Zhang, MingChao Liao, Xixiang Wang, Lalao Gao","doi":"10.1117/12.2667214","DOIUrl":"https://doi.org/10.1117/12.2667214","url":null,"abstract":"In order to improve the image quality of a specific class of crack images, as well as to solve the problems of insufficient size of the number of crack datasets and small number of complex crack images, a crack image generation model based on DCGAN (Deep Convolutional Generative Adversarial Network, DCGAN) is proposed, which has superior training stability and convergence speed. The experimental results show that DCGAN can generate a large number of real crack images with complex backgrounds more reliably than traditional image augmentation methods, effectively solving the problem of lack of crack images in special cases and greatly reducing the cost of crack image acquisition tasks.","PeriodicalId":143377,"journal":{"name":"International Conference on Green Communication, Network, and Internet of Things","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131922290","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 the product recommendation algorithm based on PySpark and Jupyter notebook 基于PySpark和Jupyter notebook的产品推荐算法研究
International Conference on Green Communication, Network, and Internet of Things Pub Date : 2023-03-08 DOI: 10.1117/12.2670415
Yi-Shu Lu, Hao Wu, Hao Che
{"title":"Research on the product recommendation algorithm based on PySpark and Jupyter notebook","authors":"Yi-Shu Lu, Hao Wu, Hao Che","doi":"10.1117/12.2670415","DOIUrl":"https://doi.org/10.1117/12.2670415","url":null,"abstract":"Due to the problems caused by the development of the Internet, such as information redundancy and junk information overflow, it is crucial that e-commercial companies utilize recommendation algorithms to personalize their online shopping system for every user in order to promote sales. After discussing the pros and cons of demographic filtering, content-based filtering and collaborative filtering, the authors mainly focused on collaborative filtering. This article elaborated on how to design the collaborative filtering algorithm and improve its efficiency. Compared to other recommendation algorithms, collaborative filtering can help customers discover potential interests. Moreover, the system only needs feedback matrixes to train the matrix decomposition model and requires no additional relevant features. One major defect of collaborative filtering is called cold start, which means if a new item is added during training, the system cannot create embedding and make a prediction for it. The technology called WALS projection can solve this problem to some degree.","PeriodicalId":143377,"journal":{"name":"International Conference on Green Communication, Network, and Internet of Things","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127797143","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 green vehicle routing problems with mixed fleet 混合车队绿色车辆路径问题研究
International Conference on Green Communication, Network, and Internet of Things Pub Date : 2023-03-08 DOI: 10.1117/12.2670305
Changshi Liu, Jianqin Zhou
{"title":"Research on green vehicle routing problems with mixed fleet","authors":"Changshi Liu, Jianqin Zhou","doi":"10.1117/12.2670305","DOIUrl":"https://doi.org/10.1117/12.2670305","url":null,"abstract":"Currently, electric vehicles and fuel vehicles coexist in urban distribution. Given this, this paper focuses on the vehicle routing problem with the mixture of electric and fuel vehicles. Then, a green vehicle routing optimization model with a mixed fleet is proposed. The cost of carbon emissions from the fuel is considered in the model. Then, an improved genetic algorithm is designed to solve the problem. Finally, sensitivity analysis is carried out for key factors such as vehicle composition, battery capacity, and charging rate. Numerical experimental results show that the economic power of logistics enterprises to directly upgrade their fleets from all-fuel vehicles to all-electric vehicles is insufficient. The number of electric vehicles kept in the fleet should be determined according to the combination of vehicle cruising range and customer distribution. Logistics enterprises should comprehensively consider the battery capacity and charging rate to reduce the distribution cost of electric vehicles.","PeriodicalId":143377,"journal":{"name":"International Conference on Green Communication, Network, and Internet of Things","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116731682","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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