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Zhe Xu, Bing Guan, Lixin Wei, Shuangqing Chen, Minghao Li and Xiaoyu Jiang
The development of hydrogen-blended natural gas (HBNG) increases the risk of gas transportation and presents challenges for pipeline security in utility tunnels. The objective of this study is to investigate the diffusion properties of HBNG in utility tu...
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MohammadHossein Reshadi, Wen Li, Wenjie Xu, Precious Omashor, Albert Dinh, Scott Dick, Yuntong She and Michael Lipsett
Anomaly detection in data streams (and particularly time series) is today a vitally important task. Machine learning algorithms are a common design for achieving this goal. In particular, deep learning has, in the last decade, proven to be substantially ...
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Fahad Alqahtani, Mohammed Almutairi and Frederick T. Sheldon
This study provides a comprehensive review and comparative analysis of existing Information Flow Tracking (IFT) tools which underscores the imperative for mitigating data leakage in complex cloud systems. Traditional methods impose significant overhead o...
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Kang Zhang, Ruize Ma, Tao Geng, Jiannan Yang and Yongjun Gong
The leakage of subsea oil and gas pipelines can have adverse impacts on production progress and the ecological environment. Investigating the sound source and near-field sound propagation of pipeline leaks is essential for understanding the acoustic char...
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Valentin Martinoli, Elouan Tourneur, Yannick Teglia and Régis Leveugle
In this work, we study an end-to-end implementation of a Prime + Probe covert channel on the CVA6 RISC-V processor implemented on a FPGA target and running a Linux OS. We develop the building blocks of the covert channel and provide a detailed view of it...
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Daniel Barros, Isabela Almeida, Ariele Zanfei, Gustavo Meirelles, Edevar Luvizotto, Jr. and Bruno Brentan
Leakages in distribution networks reach more than 30% of the water supplied, entailing important risks for the water infrastructure with water contamination issues. Therefore, it is necessary to develop new methods to mitigate the amount of water wastes....
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Uma Rajasekaran, Mohanaprasad Kothandaraman and Chang Hong Pua
Significant water loss caused by pipeline leaks emphasizes the importance of effective pipeline leak detection and localization techniques to minimize water wastage. All of the state-of-the-art approaches use deep learning (DL) for leak detection and cro...
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Junwei Lang, Zhenjia Zeng, Tengfei Ma and Sailing He
Sudden air pollution accidents (explosions, fires, leaks, etc.) in chemical industry parks may result in great harm to people?s lives, property, and the ecological environment. A gas tracking network can monitor hazardous gas diffusion using traceability...
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Katarina Vrane?ic, Stjepan Laku?ic and Marijana Serdar
Urban railway tracks are the primary modes of transportation in many cities worldwide. Track vehicles mostly use DC from overhead lines, and rails are used as return conductors. Because it is challenging to fully insulate the rail and ensure high rail-to...
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Markeljan Fishta, Erica Raviola and Franco Fiori
The smart management of water resources is an increasingly important topic in today?s society. In this context, the paradigm of Smart Water Grids (SWGs) aims at a constant monitoring through a network of smart nodes deployed over the water distribution i...
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