Pub Date : 2022-12-01DOI: 10.1109/ACCC58361.2022.00013
Ziyu Wang, Hu Liu, Fengguo Chu
Precise flight delay prediction is an important foundation to make airline business perfect. Up-to-date research have been devoted to applying machine learning and deep learning methods to predict the flight delay. The predicted task of a majority of the previous flight prediction are whether the leaving flight is delayed. The paper explores the effect of the duration of leaving delay to the arriving delay. To predict the arriving delay, a double layer model is established to complete the mission. The first layer predict the arriving delay level(0-5,in 15 minutes). With the predicted delay level, the data is input to the second layer to predict the concrete duration of the arriving delay. Compared with a single method applied to predict the duration of delay, the double layer model can contain higher prediction accuracy and efficiency.
{"title":"Flight Arrival Delay Time Prediction Based on Machine Learning","authors":"Ziyu Wang, Hu Liu, Fengguo Chu","doi":"10.1109/ACCC58361.2022.00013","DOIUrl":"https://doi.org/10.1109/ACCC58361.2022.00013","url":null,"abstract":"Precise flight delay prediction is an important foundation to make airline business perfect. Up-to-date research have been devoted to applying machine learning and deep learning methods to predict the flight delay. The predicted task of a majority of the previous flight prediction are whether the leaving flight is delayed. The paper explores the effect of the duration of leaving delay to the arriving delay. To predict the arriving delay, a double layer model is established to complete the mission. The first layer predict the arriving delay level(0-5,in 15 minutes). With the predicted delay level, the data is input to the second layer to predict the concrete duration of the arriving delay. Compared with a single method applied to predict the duration of delay, the double layer model can contain higher prediction accuracy and efficiency.","PeriodicalId":285531,"journal":{"name":"2022 3rd Asia Conference on Computers and Communications (ACCC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127691810","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}
Pub Date : 2022-12-01DOI: 10.1109/ACCC58361.2022.00014
Nishui Cai, Zhuxiang Deng, Hao Wu
Due to historical legacy or regulatory requirements, many enterprises have built several clouds and are faced with the problem of multi-cloud management. How to effectively integrate and use these different cloud resources is worth exploring. This paper analyzes the boundary and scope of cloud management of cloud-network integration services in the multi-cloud scenario formed by enterprises to realize digital transformation. The enterprise digital platform and core functions to realize multi-cloud management are studied. This paper puts forward an intelligent security operation method and system of cloud-network integration in multi-cloud scenarios, provides the process of cloud-network integration intelligent security operation in multi-cloud scenarios, and points out the role of intelligent security operation based on multi-cloud scenarios in improving the economic benefits of cloud-network resources and helping enterprises' digital transformation.
{"title":"An Intelligent Security Operation Method for Cloud-network Integration Services in Multi-cloud Scenes","authors":"Nishui Cai, Zhuxiang Deng, Hao Wu","doi":"10.1109/ACCC58361.2022.00014","DOIUrl":"https://doi.org/10.1109/ACCC58361.2022.00014","url":null,"abstract":"Due to historical legacy or regulatory requirements, many enterprises have built several clouds and are faced with the problem of multi-cloud management. How to effectively integrate and use these different cloud resources is worth exploring. This paper analyzes the boundary and scope of cloud management of cloud-network integration services in the multi-cloud scenario formed by enterprises to realize digital transformation. The enterprise digital platform and core functions to realize multi-cloud management are studied. This paper puts forward an intelligent security operation method and system of cloud-network integration in multi-cloud scenarios, provides the process of cloud-network integration intelligent security operation in multi-cloud scenarios, and points out the role of intelligent security operation based on multi-cloud scenarios in improving the economic benefits of cloud-network resources and helping enterprises' digital transformation.","PeriodicalId":285531,"journal":{"name":"2022 3rd Asia Conference on Computers and Communications (ACCC)","volume":"46 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132148277","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}
Pub Date : 2022-12-01DOI: 10.1109/ACCC58361.2022.00018
Valerio Mandarino, G. Pappalardo, E. Tramontana
Ethereum network has introduced an important innovation to blockchain technology that has deeply changed the world of blockchains and cryptocurrencies: Turing-complete smart contracts. Thanks to smart contracts it is possible to mint fungible and non-fungible tokens, manage decentralized organizations and offer services such as digital identity, advertisement, time commitments, decentralized exchanges, etc. However, smart contract development is not free from challenges. This paper analyses a set of design patterns that have been documented and groups them according to related smart contracts' weaknesses. Moreover, two novel solutions are presented in the form of design patterns. The first is a micro architecture that deals with a treasure reserve and aims at reducing gas consumption when having to update the code of a smart contract. The second presents a solution for packing bits each representing a Boolean value.
{"title":"Some Blockchain Design Patterns for Overcoming Immutability, Chain-Boundedness, and Gas Fees","authors":"Valerio Mandarino, G. Pappalardo, E. Tramontana","doi":"10.1109/ACCC58361.2022.00018","DOIUrl":"https://doi.org/10.1109/ACCC58361.2022.00018","url":null,"abstract":"Ethereum network has introduced an important innovation to blockchain technology that has deeply changed the world of blockchains and cryptocurrencies: Turing-complete smart contracts. Thanks to smart contracts it is possible to mint fungible and non-fungible tokens, manage decentralized organizations and offer services such as digital identity, advertisement, time commitments, decentralized exchanges, etc. However, smart contract development is not free from challenges. This paper analyses a set of design patterns that have been documented and groups them according to related smart contracts' weaknesses. Moreover, two novel solutions are presented in the form of design patterns. The first is a micro architecture that deals with a treasure reserve and aims at reducing gas consumption when having to update the code of a smart contract. The second presents a solution for packing bits each representing a Boolean value.","PeriodicalId":285531,"journal":{"name":"2022 3rd Asia Conference on Computers and Communications (ACCC)","volume":"21 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128554733","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}
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