Jiaying Liu, Wen-Huang Cheng, Jenq-Neng Hwang, lvan V. Bajic, Shiqi Wang, Junseok Kwon, Ngai-Man Cheung, Rei Kawakami
{"title":"Editorial for Special Issue on Emerging AI Technologies for Smart Infrastructure","authors":"Jiaying Liu, Wen-Huang Cheng, Jenq-Neng Hwang, lvan V. Bajic, Shiqi Wang, Junseok Kwon, Ngai-Man Cheung, Rei Kawakami","doi":"10.1561/116.00001101","DOIUrl":null,"url":null,"abstract":"The continuously expanding urban environment introduces a significant amount of both physical and digital infrastructure. The accompanying solution that collects environmental big data through the Internet of Things (IoT) holds great promise, opening up new opportunities as well as challenges. On one hand, billions of sensors and devices continuously collect, process, and transmit data. The data volume poses the challenge for supporting the decision-making in an automatic and intelligent way. On the other hand, the dynamism of data, the complexity of the environment, and the diversity of tasks also set the barrier to the intelligent processing paradigm of smart infrastructure. Fortunately, recent advancements in AI technologies offer cost-effective solutions that are capable of substantially improving modern metropolitan smart infrastructure. This special issue focuses smart sensors, smart communications, smart analytics, and applications for smart infrastructure, introducing the relevant background and discussing potential beneficial technical routes. This special issue has collected seven excellent articles recognized by the reviewers and highly recommended by the editors.","PeriodicalId":44812,"journal":{"name":"APSIPA Transactions on Signal and Information Processing","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"APSIPA Transactions on Signal and Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1561/116.00001101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
Abstract
The continuously expanding urban environment introduces a significant amount of both physical and digital infrastructure. The accompanying solution that collects environmental big data through the Internet of Things (IoT) holds great promise, opening up new opportunities as well as challenges. On one hand, billions of sensors and devices continuously collect, process, and transmit data. The data volume poses the challenge for supporting the decision-making in an automatic and intelligent way. On the other hand, the dynamism of data, the complexity of the environment, and the diversity of tasks also set the barrier to the intelligent processing paradigm of smart infrastructure. Fortunately, recent advancements in AI technologies offer cost-effective solutions that are capable of substantially improving modern metropolitan smart infrastructure. This special issue focuses smart sensors, smart communications, smart analytics, and applications for smart infrastructure, introducing the relevant background and discussing potential beneficial technical routes. This special issue has collected seven excellent articles recognized by the reviewers and highly recommended by the editors.