Results 11 to 20 of about 10,025,655 (237)

DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic Flow [PDF]

IEEE Transactions on Control Systems Technology, 2022
For the control of connected and autonomous vehicles (CAVs), most existing methods focus on model-based strategies. They require explicit knowledge of car-following dynamics of human-driven vehicles that are nontrivial to identify accurately.
Jiawei Wang, Yang Zheng, Keqiang Li, Qing Xu   +3 more
semanticscholar   +1 more source

Redundancy and conflict detection method for label-based data flow control policy

网络与信息安全学报, 2023
To address the challenge of redundancy and conflict detection in the label-based data flow control mechanism, a label description method based on atomic operations has been proposed.When the label is changed, there is unavoidable redundancy or conflict ...
Rongna XIE, Xiaonan FAN, Suzhe LI, Yuxin HUANG, Guozhen SHI
doaj   +3 more sources

Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems

Journal of Big Data, 2023
This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of simulation-based feasibility studies
Zoran Babović, Branislav Bajat, Vladan Đokić, Filip Đorđević, Dražen Drašković, Nenad Filipović, Borko Furht, Nikola Gačić, Igor Ikodinović, Marija Ilić, Ayhan Irfanoglu, Branislav Jelenković, Aleksandar Kartelj, Gerhard Klimeck, Nenad Korolija, Miloš Kotlar, Miloš Kovačević, Vladan Kuzmanović, Marko Marinković, Slobodan Marković, Avi Mendelson, Veljko Milutinović, Aleksandar Nešković, Nataša Nešković, Nenad Mitić, Boško Nikolić, Konstantin Novoselov, Arun Prakash, Ivan Ratković, Zoran Stojadinović, Andrey Ustyuzhanin, Stan Zak   +31 more
doaj   +1 more source

Reduced order methods for parametric optimal flow control in coronary bypass grafts, toward patient‐specific data assimilation [PDF]

International Journal for Numerical Methods in Biomedical Engineering, 2019
Coronary artery bypass grafts (CABG) surgery is an invasive procedure performed to circumvent partial or complete blood flow blockage in coronary artery disease. In this work, we apply a numerical optimal flow control model to patient‐specific geometries
Zakia Zainib, F. Ballarin, S. Fremes, P. Triverio, Laura Jiménez-Juan, G. Rozza   +5 more
semanticscholar   +1 more source

Tenant-Led Ciphertext Information Flow Control for Cloud Virtual Machines

IEEE Access, 2021
When users upload their private data to the cloud, they lose control of the data stored in the cloud server. If the cloud system cannot provide an effective security mechanism to protect the data, the consequent data leakage issue will hinder the ...
Zhao Zhang, Zhi Yang, Xuehui Du, Wenfa Li, Xingyuan Chen, Lei Sun   +5 more
doaj   +1 more source

Flow Control in Wings and Discovery of Novel Approaches via Deep Reinforcement Learning

Fluids, 2022
In this review, we summarize existing trends of flow control used to improve the aerodynamic efficiency of wings. We first discuss active methods to control turbulence, starting with flat-plate geometries and building towards the more complicated flow ...
R. Vinuesa, O. Lehmkuhl, A. Lozano-Durán, J. Rabault   +3 more
semanticscholar   +1 more source

Bluff body uses deep-reinforcement-learning trained active flow control to achieve hydrodynamic stealth [PDF]

The Physics of Fluids, 2020
We propose a novel active-flow-control (AFC) strategy for bluff bodies to hide their hydrodynamic traces from predators. A group of windward-suction-leeward-blowing (WSLB) actuators are adopted to control the wake of a circular cylinder submerged in a ...
Feng Ren, Chenglei Wang, Hui Tang
semanticscholar   +1 more source

Value-Based Constraint Control Flow Integrity

IEEE Access, 2020
Control flow integrity (CFI) is a generic technique that prevents a control flow hijacking attacks by verifying the legitimacy of indirect branches against a predefined set of targets.
Dongjae Jung, Minsu Kim, Jinsoo Jang, Brent Byunghoon Kang   +3 more
doaj   +1 more source

Deep model predictive flow control with limited sensor data and online learning

Theoretical and Computational Fluid Dynamics, 2020
The control of complex systems is of critical importance in many branches of science, engineering, and industry, many of which are governed by nonlinear partial differential equations. Controlling an unsteady fluid flow is particularly important, as flow
Katharina Bieker, Sebastian Peitz, S. Brunton, J. Kutz, M. Dellnitz   +4 more
semanticscholar   +1 more source

Data Delivery Implementation on River Flow Control System Prototype Using HTTP

JITeCS (Journal of Information Technology and Computer Science), 2023
Data transmission is one of the most essential components in a critical system. One of them is to control the river water canal. Previous research related to water canal monitoring has been carried out, but the data is still local.
Mochammad Hannats Hanafi Ichsan, Sabriansyah Rizqika Akbar, Hamdan Malik Satriyo Aji, Eko Setiawan, Othman Mirizi Batubara   +4 more
doaj   +1 more source