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2022 2nd International Conference on Networking Systems of AI (INSAI)最新文献

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Big Data Analysis Method for Power Information Based on Visualization Technology 基于可视化技术的电力信息大数据分析方法
2022 2nd International Conference on Networking Systems of AI (INSAI) Pub Date : 2022-10-01 DOI: 10.1109/INSAI56792.2022.00055
Shengzhu Wang, Shiwen Zhong, Ying Hong, Y. Zheng
{"title":"Big Data Analysis Method for Power Information Based on Visualization Technology","authors":"Shengzhu Wang, Shiwen Zhong, Ying Hong, Y. Zheng","doi":"10.1109/INSAI56792.2022.00055","DOIUrl":"https://doi.org/10.1109/INSAI56792.2022.00055","url":null,"abstract":"In the context of the increasing scale of power data, some big data analysis methods for power information have the problem of long running time. To this end, this paper designs a big data analysis method for power information based on visualization technology. Data dimensionality reduction is performed based on the obtained power information data source. Then convert the command into a data calculation operation. At the same time, the storage and access modules are designed to calculate the point elasticity of each dimension. Thus, the model optimization of big data analysis based on visualization technology is completed. Test results: The average running time of the method in this paper is 600.38s, 653.04s and 646.79s, which is higher than the running time of the comparison method. The experimental results show that the performance of the designed power information big data analysis is better.","PeriodicalId":318264,"journal":{"name":"2022 2nd International Conference on Networking Systems of AI (INSAI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115377904","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
Message from the Program Chairs INSAI 2022 来自INSAI 2022项目主席的信息
2022 2nd International Conference on Networking Systems of AI (INSAI) Pub Date : 2022-10-01 DOI: 10.1109/insai56792.2022.00006
P. Spachos, T. Luan
{"title":"Message from the Program Chairs INSAI 2022","authors":"P. Spachos, T. Luan","doi":"10.1109/insai56792.2022.00006","DOIUrl":"https://doi.org/10.1109/insai56792.2022.00006","url":null,"abstract":"","PeriodicalId":318264,"journal":{"name":"2022 2nd International Conference on Networking Systems of AI (INSAI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125547778","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
Message from the General Chairs: INSAI 2022 主席致辞:INSAI 2022
2022 2nd International Conference on Networking Systems of AI (INSAI) Pub Date : 2022-10-01 DOI: 10.1109/insai56792.2022.00005
Liang Song, Tianruo Yang
{"title":"Message from the General Chairs: INSAI 2022","authors":"Liang Song, Tianruo Yang","doi":"10.1109/insai56792.2022.00005","DOIUrl":"https://doi.org/10.1109/insai56792.2022.00005","url":null,"abstract":"","PeriodicalId":318264,"journal":{"name":"2022 2nd International Conference on Networking Systems of AI (INSAI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132307775","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
Multi-Dimensional Spatial-Temporal Fusion for Pedestrian Trajectory Prediction 多维时空融合行人轨迹预测
2022 2nd International Conference on Networking Systems of AI (INSAI) Pub Date : 2022-10-01 DOI: 10.1109/INSAI56792.2022.00040
Tong Luo, Huiliang Shang, Zengwen Li, Changxue Chen
{"title":"Multi-Dimensional Spatial-Temporal Fusion for Pedestrian Trajectory Prediction","authors":"Tong Luo, Huiliang Shang, Zengwen Li, Changxue Chen","doi":"10.1109/INSAI56792.2022.00040","DOIUrl":"https://doi.org/10.1109/INSAI56792.2022.00040","url":null,"abstract":"Pedestrian trajectory prediction is a key technology in autonomous driving. Due to the variability of pedestrian trajectories and complex interactions, effective spatial-temporal feature extraction and fusion of trajectories is a key point. Most previous studies did not explicitly consider the trend of the interaction between pedestrians, which can help the model focus on adjacent pedestrians with high impact on the future motion of the predicted target. To address this issue, we propose a Multi-dimensional Spatial-Temporal fusion Graph attention network, called MST-G. Specifically, the directed graphs is used to model the interactions among pedestrians. Meanwhile, on the basis of using spatial-temporal convolution to obtain trajectory features with interaction, we add edge convolution to extract the temporal continuity of the interaction. Finally, the LSTM codec is used for trajectory generation. Experiments show that our model achieves better performance on two publicly available population datasets (ETH and UCY).","PeriodicalId":318264,"journal":{"name":"2022 2nd International Conference on Networking Systems of AI (INSAI)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131010581","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 New Architecture of Regional-Level Industrial Internet Platform Based-5G Network 基于5g网络的区域级工业互联网平台新架构
2022 2nd International Conference on Networking Systems of AI (INSAI) Pub Date : 2022-10-01 DOI: 10.1109/INSAI56792.2022.00041
Han Zhang, Xinzhi Ouyang, Yu Wang, Weiduo Zhao
{"title":"A New Architecture of Regional-Level Industrial Internet Platform Based-5G Network","authors":"Han Zhang, Xinzhi Ouyang, Yu Wang, Weiduo Zhao","doi":"10.1109/INSAI56792.2022.00041","DOIUrl":"https://doi.org/10.1109/INSAI56792.2022.00041","url":null,"abstract":"5G is an important tool for new construction and an important supporting technology to promote the development of the Industrial Internet and cloud access for small and medium-sized enterprises. A Regional-level Industrial Internet platform can provide low-cost digital transformation solutions for local enterprises, help enterprises improve management efficiency, reduce production control costs and enhance their comprehensive competitiveness. Meanwhile, it can also help local governments improve their governance and service capabilities by using data. By its accumulation of technologies and advantages of Uni_Plant Industrial Internet platform products, our scheme takes the opportunity of new infrastructure construction to build a model, promote the regional economy, and serve the digital transformation of manufacturing.","PeriodicalId":318264,"journal":{"name":"2022 2nd International Conference on Networking Systems of AI (INSAI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131048590","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 Secret Image Sharing Method Based on Shared Matrix and Variational Hyperprior Network 基于共享矩阵和变分超先验网络的秘密图像共享方法
2022 2nd International Conference on Networking Systems of AI (INSAI) Pub Date : 2022-10-01 DOI: 10.1109/INSAI56792.2022.00030
Yuxin Ding, Miaomiao Shao, Cai Nie
{"title":"A Secret Image Sharing Method Based on Shared Matrix and Variational Hyperprior Network","authors":"Yuxin Ding, Miaomiao Shao, Cai Nie","doi":"10.1109/INSAI56792.2022.00030","DOIUrl":"https://doi.org/10.1109/INSAI56792.2022.00030","url":null,"abstract":"At present people can easily share multimedia information on Internet, which leads to serious data security issues. Especially in medical, military and financial fields, images always contain a lot of sensitive information. To safely transmit images among people, many secret image sharing methods are proposed. However, the existing methods can not solve the problems of pixel expansion and high computational complexity of shadow images at the same time. In this paper, we propose an image sharing method by combining sharing matrix and variational hyperprior network, to reduce the pixel expansion and computational complexity of secret image sharing methods. The method uses the variational hyperprior network to encode images. It introduces the hyperprior to effectively catch spatial dependencies in the latent representation, which can compress image with high efficiency. The experimental results show that our method has low computational complexity and high security performance compared with the state-of-the-art approaches. In addition, the proposed method can effectively reduce the pixel expansion when using the sharing matrix to generate shadow images.","PeriodicalId":318264,"journal":{"name":"2022 2nd International Conference on Networking Systems of AI (INSAI)","volume":"125 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126147559","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
Analysis and Prediction of Programming Language Occupancy Based on AdaBoost 基于AdaBoost的编程语言占用率分析与预测
2022 2nd International Conference on Networking Systems of AI (INSAI) Pub Date : 2022-10-01 DOI: 10.1109/INSAI56792.2022.00021
Yang Gong, P. Zhang
{"title":"Analysis and Prediction of Programming Language Occupancy Based on AdaBoost","authors":"Yang Gong, P. Zhang","doi":"10.1109/INSAI56792.2022.00021","DOIUrl":"https://doi.org/10.1109/INSAI56792.2022.00021","url":null,"abstract":"With the advent of computers, people need computers to help people solve some problems. In the process of solving the problem, you will encounter the problem of programming. In order to help people use appropriate programming languages to complete tasks, this paper proposes a method to analyze and predict the share of programming languages based on AdaBoost. First, collect the historical data of the world authoritative Tiobe programming language ranking list; Then the data table is visualized; Then, AdaBoost algorithm is used to model and train the share of the top five programming languages (Python, C, Java, C++, C #); Finally, enter the data to be predicted and return the predicted value of the model. After many times of training and testing, the method has a good prediction result, which can be used to analyze and predict the share of programming languages.","PeriodicalId":318264,"journal":{"name":"2022 2nd International Conference on Networking Systems of AI (INSAI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126662739","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
On Design of Hydropower System Aided by Internet of Things Architecture with OPC-UA and MQTT 基于OPC-UA和MQTT的物联网体系结构辅助水电系统设计
2022 2nd International Conference on Networking Systems of AI (INSAI) Pub Date : 2022-10-01 DOI: 10.1109/INSAI56792.2022.00035
Zhigao Yang, Yining Wang, Guangya Xiong, Weifeng Pan
{"title":"On Design of Hydropower System Aided by Internet of Things Architecture with OPC-UA and MQTT","authors":"Zhigao Yang, Yining Wang, Guangya Xiong, Weifeng Pan","doi":"10.1109/INSAI56792.2022.00035","DOIUrl":"https://doi.org/10.1109/INSAI56792.2022.00035","url":null,"abstract":"The application of Internet of Things (IoT) technology in hydropower is of great significance to further improve the automation level of hydropower network. In this paper, IoT is used to aided hydropower system to promote the standardization of hydropower network communication and realize the efficient transmission of data models. First, we design an architecture of the hydropower aided by loT, which can implement the messages exchanges among the cloud, the edge and the end. Second, we design the communication methods with Message Queuing Telemetry Transport (MQTT) and OPC unified Architecture (OPC-VA), where the cloud and edge communicate with MQTT and the edge and the end communicate with OPC-VA, Third, we build an experimental environment platform, Plug and play is taken as an example to verify the effectiveness. Experimental results reveal that the information interaction method of hydropower aided IoT based on MQTT and OPC-VA, can effectively improve real-time performance and reliable for message exchange.","PeriodicalId":318264,"journal":{"name":"2022 2nd International Conference on Networking Systems of AI (INSAI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121476696","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
Collection and Application of Real-time Operation Data of Distribution Transformer Based on Internet of Things 基于物联网的配电变压器实时运行数据采集与应用
2022 2nd International Conference on Networking Systems of AI (INSAI) Pub Date : 2022-10-01 DOI: 10.1109/INSAI56792.2022.00020
Jinghe Sun, Baohua Sun, Hao Zhu
{"title":"Collection and Application of Real-time Operation Data of Distribution Transformer Based on Internet of Things","authors":"Jinghe Sun, Baohua Sun, Hao Zhu","doi":"10.1109/INSAI56792.2022.00020","DOIUrl":"https://doi.org/10.1109/INSAI56792.2022.00020","url":null,"abstract":"Power transformer is one of the most important power equipment in the power grid, and plays a vital role in power transmission and distribution. With the development and construction of society, the electricity load is increasing continuously. To ensure the safe and stable operation of the power supply system, it is particularly important to monitor the operation status of distribution transformers. Based on intelligent terminal communication equipment and big data Internet of Things platform (IoT), real-time data collection and processing can be achieved, automatic analysis of transformer operation status, early warning of abnormally operating transformers, and the accuracy of measurement point data can be checked. So as to realize the monitoring of the transformer operation status and the verification of the data accuracy.","PeriodicalId":318264,"journal":{"name":"2022 2nd International Conference on Networking Systems of AI (INSAI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131491945","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 Intelligent Suspension System Based on Fuzzy Sliding Mode Control 基于模糊滑模控制的智能悬架系统研究
2022 2nd International Conference on Networking Systems of AI (INSAI) Pub Date : 2022-10-01 DOI: 10.1109/INSAI56792.2022.00017
Hongwei Li
{"title":"Research on Intelligent Suspension System Based on Fuzzy Sliding Mode Control","authors":"Hongwei Li","doi":"10.1109/INSAI56792.2022.00017","DOIUrl":"https://doi.org/10.1109/INSAI56792.2022.00017","url":null,"abstract":"The dynamic modeling and control method of semi-active suspension system are studied. The four-degree-of-freedom semi-active suspension model of half car is established. The road input model, body displacement calculation model, wheel displacement calculation model, body displacement and pitch angle calculation model, and overall model is presented. The sliding mode controller and fuzzy sliding mode controller are designed respectively to control the suspension. The combination of fuzzy control and sliding mode control can reduce the vertical acceleration and the pitch Angle of the vehicle body, which indicates that the sliding mode fuzzy control method presented here can improve the ride comfort of the studied suspension more effectively.","PeriodicalId":318264,"journal":{"name":"2022 2nd International Conference on Networking Systems of AI (INSAI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131633766","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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