Introduction to the Special Section on Data Science for Cyber-Physical Systems

被引：1
作者：
Piccialli, Francesco [1 ]
Bessis, Nik [2 ]
Jeon, Gwanggil [3 ]
Pu, Calton [4 ]
机构：
[1] Univ Naples Federico II, Naples, Italy
[2] Edge Hill Univ, Ormskirk, England
[3] Incheon Natl Univ, Incheon, South Korea
[4] Georgia Inst Technol, Atlanta, GA 30332 USA
来源：
ACM TRANSACTIONS ON INTERNET TECHNOLOGY | 2021年 / 21卷 / 02期
关键词：
D O I：
10.1145/3464766
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The theme section of the special issue of the ACM Transactions on Internet Technology journal is titled as ‘Data Science for Cyber-Physical Systems (CPS)’. This special section aims to attract high-quality research and survey articles that promote research and reflect the most recent advances in addressing data science methodologies and applications for CPS. This edition of the special section is focused primarily on data science for CPS. This issue is intended to provide a highly recognized international forum to present recent advances in ACM Transactions on Internet Technology. CPS, as a multidimensional complex system that connects the physical world and the cyber world, has a strong demand for processing large amounts of heterogeneous data. These tasks also include natural language inference (NLI) tasks based on text from different sources.
引用
收藏
页数：7
相关论文
共 10 条
[1]   Product Quality Monitoring in Hydraulic Presses Using a Minimal Sample of Sensor and Actuator Data [J].
Weiss, Iris ;
Vogel-Heuser, Birgit ;
Trunzer, Emanuel ;
Kruppa, Simon .
ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)
[2]   Energy and SLA-driven MapReduce Job Scheduling Framework for Cloud-based Cyber-Physical Systems [J].
Kaur, Kuljeet ;
Garg, Sahil ;
Kaddoum, Georges ;
Kumar, Neeraj .
ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)
[3]   A Polishing Robot Force Control System Based on Time Series Data in Industrial Internet of Things [J].
Zhang, Chen ;
Tang, Zhuo ;
Li, Kenli ;
Yang, Jianzhong ;
Yang, Li .
ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)
[4]   DataOps for Cyber-Physical Systems Governance: The Airport Passenger Flow Case [J].
Garriga, Martin ;
Aarns, Koen ;
Tsigkanos, Christos ;
Tamburri, Damian A. ;
Van den Heuvel, Wjan .
ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)
[5]  
Lv ZH, 2021, ACM T INTERNET TECHN, V21, DOI [10.1145/3389250, 10.1145/3409801]
[6]   A Hybrid Siamese Neural Network for Natural Language Inference in Cyber-Physical Systems [J].
Ni, Pin ;
Li, Yuming ;
Li, Gangmin ;
Chang, Victor .
ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)
[7]   A Simulation-driven Methodology for IoT Data Mining Based on Edge Computing [J].
Savaglio, Claudio ;
Fortino, Giancarlo .
ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)
[8]   Large-Scale Least Squares Twin SVMs [J].
Tanveer, M. ;
Sharma, S. ;
Muhammad, K. .
ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)
[9]   An Effective Hyperparameter Optimization Algorithm for DNN to Predict Passengers at a Metro Station [J].
Tsai, Chun-Wei ;
Fang, Zhi-Yan .
ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)
[10]   Leveraging Data Augmentation for Service QoS Prediction in Cyber-physical Systems [J].
Yin, Yuyu ;
Xu, Haoran ;
Liang, Tingting ;
Chen, Manman ;
Gao, Honghao ;
Longo, Antonella .
ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)
1