Results 1 to 10 of about 4,752,110 (154)
Multiverse Data-Flow Control [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2013 In this paper, we present a data-flow system which supports comparative analysis of time-dependent data and interactive simulation steering. The system creates data on-the-fly to allow for the exploration of different parameters and the investigation of multiple scenarios.
Schindler Benjamin +4 more
openaire +4 more sources
Experimental data for a flow control valve
Data in Brief, 2019 Experimental data presented in this paper include the flow measurements through cylindrical orifices and the discharge behavior of Mechanical Choked Orifice Plate, MCOP. The data information consists of detailed physical shapes of the devices as well as their application in pressurized networks.
Rezazadeh, Parviz +2 more
openaire +5 more sources
Information-Flow Control for Programming on Encrypted Data [PDF]
2012 IEEE 25th Computer Security Foundations Symposium, 2012 Using homomorphic encryption and secure multiparty computation, cloud servers may perform regularly structured computation on encrypted data, without access to decryption keys. However, prior approaches for programming on encrypted data involve restrictive models such as boolean circuits, or standard languages that do not guarantee secure execution of ...
John C. Mitchell +3 more
openaire +3 more sources
Getting in control of your control flow with control-data isolation [PDF]
2015 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2015 William Arthur +3 more
openaire +2 more sources
Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes [PDF]
Actuators, 2022 The increase in emissions associated with aviation requires deeper research into novel sensing and flow-control strategies to obtain improved aerodynamic performances.
P. Varela +8 more
semanticscholar +1 more source
Power-aware scheduling of data-flow hardware circuits with symbolic control [PDF]
Archives of Control Sciences, 2021 We devise a tool-supported framework for achieving power-efficiency of data-flowhardware circuits. Our approach relies on formal control techniques, where the goal is to compute a strategy that can be used to drive a given model so that it satisfies a ...
Mete Özbaltan, Nicolas Berthier
doaj +1 more source
From bypass transition to flow control and data-driven turbulence modeling: An input-output viewpoint [PDF]
Annual Review of Fluid Mechanics, 2020 Transient growth and resolvent analyses are routinely used to assess nonasymptotic properties of fluid flows. In particular, resolvent analysis can be interpreted as a special case of viewing flow dynamics as an open system in which free-stream ...
M. Jovanovi'c
semanticscholar +1 more source
Machine-learning flow control with few sensor feedback and measurement noise [PDF]
The Physics of Fluids, 2022 A comparative assessment of machine-learning (ML) methods for active flow control is performed. The chosen benchmark problem is the drag reduction of a two-dimensional Kármán vortex street past a circular cylinder at a low Reynolds number ( Re = 100 ...
R. Castellanos +5 more
semanticscholar +1 more source
BGCFI: Efficient Verification in Fine-Grained Control-Flow Integrity Based on Bipartite Graph
IEEE Access, 2023 Control-flow integrity (CFI) is considered a principled mitigation against control-flow hijacking even under the most powerful attacker who can arbitrarily write and read memory.
Moon Chan Park, Dong Hoon Lee
doaj +1 more source
Dynamic Information Flow Tracking: Taxonomy, Challenges, and Opportunities
Micromachines, 2021 Dynamic information flow tracking (DIFT) has been proven an effective technique to track data usage; prevent control data attacks and non-control data attacks at runtime; and analyze program performance.
Kejun Chen +3 more
doaj +1 more source