Article
Environmental Sciences
Francesca Cigna, Deodato Tapete
Summary: This paper trials the P-SBAS advanced InSAR processing chain on large stacks of Copernicus Sentinel-1 SAR images, showcasing the type and precision of deformation products generated and discussing the potential and challenges of big data processing using cloud/grid infrastructure.
Article
Geochemistry & Geophysics
Chen Xu, Xiaoping Du, Xiangtao Fan, Zhenzhen Yan, Xujie Kang, Junjie Zhu, Zhongyang Hu
Summary: This research analyzed the processing flow of remote sensing big data from the perspective of computer science and remote sensing science, proposing a modular framework. By introducing computation ready data as a dynamic data type to connect key modules of the framework, it significantly reduces experimental costs for remote sensing researchers.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Computer Science, Information Systems
Lo'ai A. Tawalbeh, Gokay Saldamli
Summary: Large scale distributed systems, especially cloud and mobile cloud deployments, offer services that improve quality of life and organizational efficiency. Data-driven applications are popular and successful, but also bring challenges like storage, big data processing, and privacy concerns. Solutions using cloud computing, P2P systems, and hybrid mobile cloud models can enhance performance and address these issues.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2021)
Article
Computer Science, Information Systems
Xin Wang, Pei Guo, Xingyan Li, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman, Jianwu Wang
Summary: This article introduces the use of serverless computing and containerization techniques to address the challenges of reproducing batch based Big Data analytics in the cloud. It also presents the development of an open-source toolkit for automated execution and reproducibility. Experiments on AWS and Azure demonstrate that the toolkit achieves good performance, scalability, and efficient reproducibility for cloud-based Big Data analytics.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Computer Science, Interdisciplinary Applications
Afzal Badshah, Celestine Iwendi, Ateeqa Jalal, Syed Shabih Ul Hasan, Ghawar Said, Shahab S. Band, Arthur Chang
Summary: The widespread use of smart devices has led to an increase in social media engagement and workload, placing a heavy burden on mainstream networks and social media cloud servers. To address this challenge, this paper introduces the concept of Regional Computing (RC) for Social Media Platforms (SMP), which involves processing and storing data at regional computing servers before migrating to cloud servers during off-peak hours. Preliminary results show that RC effectively filters content regionally, reducing the burden on mainstream networks and minimizing delays and costs for instant communication.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Information Systems
Jian Shen, Chen Wang, Anxi Wang, Sai Ji, Yan Zhang
Summary: Scientific research achievements play a positive role in promoting social development, and the security of scholarly big data is crucial for protecting authors' reputation and copyright. This proposed scheme utilizes cloud computing technology to provide a trusted third-party-aided data protection solution, allowing users to verify data integrity and conduct encrypted keyword searches at any time.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
Article
Computer Science, Information Systems
Faradillah Amalia Rivai, Nima Jafari Navimipour, Senay Yalcin
Summary: This paper conducts a bibliometric study to investigate the knowledge status, features, evolution, and emerging trend of multimedia big data. The study uncovers useful information such as publishing patterns, research topics, and important authors.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Halimjon Khujamatov, Khaleel Ahmad, Nargiza Usmanova, Jamshid Khoshimov, Mai Alduailij, Mona Alduailij
Summary: The development of Internet technologies has led to the collection and analysis of vast amounts of data, with fog computing offering a flexible and advantageous solution for big data processing.
Article
Computer Science, Information Systems
Xinying Wang, Cong Xu, Ke Wang, Feng Yan, Dongfang Zhao
Summary: This article investigates the selection of memory scaling mechanisms for deploying applications on big data systems in public clouds. By analyzing the trade-off between performance and cost of physical memory and virtual memory, and proposing a just-in-time migration method, this study demonstrates that these techniques can improve performance and reduce costs.
IEEE TRANSACTIONS ON BIG DATA
(2022)
Article
Computer Science, Information Systems
Keke Gai, Meikang Qiu, Hui Zhao
Summary: With the rapid growth of big data applications in cloud computing, privacy has become a significant concern. While the implementation of emerging technologies has brought many benefits and improved application performance, challenges such as data encryption execution time have also emerged. Many current applications prioritize performance over privacy by abandoning data encryption.
IEEE TRANSACTIONS ON BIG DATA
(2021)
Article
Computer Science, Information Systems
Blend Berisha, Endrit Meziu, Isak Shabani
Summary: Big Data and Cloud Computing are two mainstream technologies in the IT field. This paper provides an overview of the importance of Big Data Analytics in various sectors, with a focus on the case study of Google's BigQuery.
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Youyou Kang, Li Pan, Shijun Liu
Summary: This paper proposes an online scheduling algorithm to optimize job scheduling decisions for big data analysis, improving job execution efficiency and economic benefits; theoretical analysis and extensive simulation experiments demonstrate that the algorithm achieves more stable performance compared to the traditional two-phase scheduling algorithm.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Hardware & Architecture
Abir El Azzaoui, Pradip Kumar Sharma, Jong Hyuk Park
Summary: This paper presents an efficient, scalable, and secure solution for complex Smart Healthcare computations using a Quantum Cloud-as-a-service. The usage of Quantum Terminal Machines (QTM) and Blockchain technology enhances the feasibility and security of the proposed architecture.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
Article
Environmental Sciences
Gianmarco Bonaldo, Amedeo Caprino, Filippo Lorenzoni, Francesca da Porto
Summary: Satellite interferometry is a powerful tool for monitoring structural displacements. This paper proposes a methodology for remotely detecting displacements and assessing building criticalities using satellite interferometric data. The methodology was applied to a case study in Rome for an eight-year-long monitoring period.
Article
Computer Science, Theory & Methods
Yongjun Ren, Ding Huang, Wenhai Wang, Xiaofeng Yu
Summary: This paper designs a blockchain-based secure storage mechanism (BSMD) to address the storage issue of massive data. The mechanism adopts an on-chain and off-chain cooperative storage model and utilizes updatable subvector commitment for secure authentication protocol, ensuring consistency of on-chain and off-chain data, and batch processing capability. The correctness and security of the proposed protocol are proven, and the performance is analyzed.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Geosciences, Multidisciplinary
C. De Luca, E. Valerio, F. Giudicepietro, G. Macedonio, F. Casu, R. Lanari
Summary: This study investigates the eruption of the Cumbre Vieja volcano in La Palma, Spain on 19 September 2021. The researchers analyze Differential Interferometric Synthetic Aperture Radar (DInSAR) measurements obtained from Sentinel-1 images. The results highlight the presence of a sill-like source in the pre-eruptive phase and the action of two dikes during the co-eruptive phase, suggesting a process of magma rising through a network of interconnected sills and dikes. The seismicity before and during the eruption is consistent with the findings.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Geography, Physical
Davide Festa, Manuela Bonano, Nicola Casagli, Pierluigi Confuorto, Claudio De Luca, Matteo Del Soldato, Riccardo Lanari, Ping Lu, Michele Manunta, Mariarosaria Manzo, Giovanni Onorato, Federico Raspini, Ivana Zinno, Francesco Casu
Summary: This study utilizes satellite-based multi-temporal interferometric datasets to investigate terrain changes in Italy, and classifies triggering factors, showing that landslides and subsidence events are the main causes of terrain deformation.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Geography, Physical
Davide Festa, Nicola Casagli, Francesco Casu, Pierluigi Confuorto, Claudio De Luca, Matteo Del Soldato, Riccardo Lanari, Michele Manunta, Mariarosaria Manzo, Federico Raspini
Summary: By applying machine learning techniques to integrate and analyze large-scale interferometric datasets, it can effectively detect high-displacement areas and classify ground motion sources, showing promising performance especially in northern Italy.
GISCIENCE & REMOTE SENSING
(2022)
Editorial Material
Automation & Control Systems
Ahmed A. Abd El-Latif, Yassine Maleh, Marinella Petrocchi, Valentina Casola
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Geological
Pierluigi Confuorto, Nicola Casagli, Francesco Casu, Claudio De Luca, Matteo Del Soldato, Davide Festa, Riccardo Lanari, Mariarosaria Manzo, Giovanni Onorato, Federico Raspini
Summary: The use of synthetic aperture radar imagery for landslide inventory updates is essential for risk management and territorial planning. The application of automatic SAR data processing has been used to update the Italian national landslide database. The study demonstrates that the nationwide use of Sentinel-1 MTInSAR data could provide fundamental support for landslide inventory updates.
Article
Geochemistry & Geophysics
Paolo Berardino, Antonio Natale, Carmen Esposito, Riccardo Lanari, Stefano Perna
Summary: This work addresses the focusing of airborne synthetic aperture radar (SAR) data in the presence of highly variable squint angles. To achieve this, a time-domain SAR focusing algorithm has been developed to consider the target-dependent nature of the acquisition squint angle. Real data from two different X-band airborne SAR systems have been analyzed, and the results show that the adoption of an azimuth-invariant processing squint angle may not be suitable for airborne missions corrupted by motion errors induced by atmospheric turbulence. The proposed time-domain focusing strategy, which exploits a target-dependent processing squint angle, proves to be more appropriate.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Remote Sensing
Simone Atzori, Fernando Monterroso, Andrea Antonioli, Claudio De Luca, Nikos Svigkas, Francesco Casu, Michele Manunta, Matteo Quintiliani, Riccardo Lanari
Summary: This work describes the implementation of a processing chain for fully automatic modeling of seismic source parameters and slip distribution using InSAR displacements. The chain involves a series of steps and algorithms, including dataset selection, area definition, image sampling, and inversions for source geometry and slip distribution. The procedures have been developed and tested using 100 globally distributed events, ranging from magnitude 5.5 to 8.2, covering a wide range of mechanisms and tectonic contexts. The aim is to provide real-time solutions during the emergency phase, which can be validated by experts and used for operational purposes and initial scientific analyses.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Proceedings Paper
Engineering, Civil
Andrea Miano, Annalisa Mele, Manuela Bonano, Fabio Di Carlo, Riccardo Lanari, Michele Manunta, Alberto Meda, Andrea Prota, Anna Saetta, Alberto Stella, Diego Talledo
Summary: The field of Structural Health Monitoring (SHM) has gained increasing interest, especially in multi-hazard prone areas like Italy. The advanced multi-temporal differential interferometry synthetic aperture radar (MT-DInSAR) techniques show great potential for SHM applications and future development. This study presents and discusses a case study of the Torri Stellari buildings in Rome, Italy, using SBAS DInSAR processing technique for monitoring and assessing the structural behavior.
EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING (EWSHM 2022), VOL 2
(2023)
Proceedings Paper
Engineering, Civil
F. Di Carlo, A. Mele, A. Miano, M. Bonano, M. F. P. Esposito, R. Lanari, A. Meda, R. Porti, A. Prota
Summary: The paper presents an application of multi-temporal Differential Synthetic Aperture Radar Interferometry (MT-DInSAR) techniques in the structural analysis of the Vittorino da Feltre school building in Rome. By correctly positioning the reflecting targets on the 3D geometry of the structure, displacement time series, mean deformation velocity values, and continuous maps of the vertical and East-West velocity components are obtained using COSMO-SkyMed SAR data collected from 2011 to 2019. Comparing the results with the on-site detected cracking pattern can provide a better understanding of the ongoing phenomena for a proper damage assessment.
EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING (EWSHM 2022), VOL 3
(2023)
Proceedings Paper
Engineering, Civil
Annalisa Mele, Ilaria Giannetti, Matteo Rompato, Manuela Bonano, Francesca Bozzano, Fabio Di Carlo, Riccardo Lanari, Paolo Mazzanti, Alberto Meda, Andrea Miano, Nicoletta Nappo, Andrea Prota, Gabriele Scarascia Mugnozza
Summary: This study utilizes remote sensing techniques and GIS environment to perform structural health monitoring on the residential area of Valco San Paolo in Rome, combining historical documents and engineering-geology information, in order to assess the impact of ground movements on the constructions.
EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING (EWSHM 2022), VOL 3
(2023)
Proceedings Paper
Engineering, Civil
Diego Talledo, Alberto Stella, Manuela Bonano, Fabio Di Carlo, Riccardo Lanari, Michele Manunta, Alberto Meda, Annalisa Mele, Andrea Miano, Andrea Prota, Anna Saetta
Summary: Structural Health Monitoring (SHM) is a field of increasing interest, particularly in a country like Italy with a rich cultural heritage. Advanced multi-temporal differential interferometry synthetic aperture radar (MT-DInSAR) is a promising new technology with great potential for monitoring and assessing cultural heritage structures. The authors applied their general framework for structural monitoring and assessment to the San Michele building in Rome, using COSMO-SkyMed (CSK) data and the Small Baseline Subset (SBAS) method to obtain deformation time series and mean velocity maps of the persistent scatterers in the area. Various techniques were then applied and critically discussed for assessing the structural behavior and monitoring of the construction.
EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING (EWSHM 2022), VOL 3
(2023)
Proceedings Paper
Geosciences, Multidisciplinary
Ivana Zinno, Federica Casamento, Francesco Casu, Claudio De Luca, Riccardo Lanari
Summary: This paper presents a comparative analysis on the estimation and removal of Atmospheric Phase Screen (APS) in DInSAR deformation measurements in volcanic areas. The study focuses on scenarios where it is difficult to separate the interferometric phase component due to atmospheric artifacts from actual ground deformation. Two approaches, utilizing external meteorological data and filtering atmospheric contributions from DInSAR time series, were investigated for APS correction. The experimental analysis was conducted on Sentinel-1 datasets from La Palma island (Spain) and Mt. Etna (Italy), both challenging areas for APS estimation.
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)
(2022)
Proceedings Paper
Geosciences, Multidisciplinary
A. Natale, P. Berardino, C. Esposito, G. Palmese, R. Lanari, S. Perna
Summary: This work presents the preliminary results of the first acquisition campaign of the new Italian airborne Multiband Interferometric and Polarimetric SAR (MIPS) system based on Frequency Modulated Continuous Wave (FMCW) technology, which has operational flexibility and observation capabilities, as well as comparatively low cost.
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)
(2022)