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DR-NTU (Data) is for research data deposit. For research paper deposits, please use DR-NTU.

Mission: DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

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991 to 1,000 of 3,555 Results
Related Data for: Flow characterization of supersonic jets issuing from double-beveled nozzles
Related Data for: Flow characterization of supersonic jets issuing from double-beveled nozzles
Oct 4, 2024 - LIM Haoxiang Desmond
Lim, Haoxiang Desmond, 2024, "Related Data for: Flow characterization of supersonic jets issuing from double-beveled nozzles", https://doi.org/10.21979/N9/WTNLFH, DR-NTU (Data), V1
Schlieren images of Md=1.45 supersonic jet
Related Data for: Supersonic PIV measurements of over-expanded beveled jets
Oct 4, 2024 - LIM Haoxiang Desmond
Lim, Haoxiang Desmond, 2024, "Related Data for: Supersonic PIV measurements of over-expanded beveled jets", https://doi.org/10.21979/N9/0SIHAA, DR-NTU (Data), V1
PIV data of over-expanded supersonic jet
Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows
Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows
Oct 4, 2024 - LIM Haoxiang Desmond
Lim, Haoxiang Desmond, 2024, "Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows", https://doi.org/10.21979/N9/XBIH1S, DR-NTU (Data), V1
Time-resolved schlieren images of Md=1.45 supersonic jets. The perfectly expanded pressure condition is NPR=3.4.
Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows
Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows
Oct 4, 2024 - LIM Haoxiang Desmond
Lim, Haoxiang Desmond, 2024, "Related Data for: Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows", https://doi.org/10.21979/N9/0J3RVA, DR-NTU (Data), V1
TRPIV of indeterminate-origin (IO) jets at Re=5000, performed in SJTU.
LIM Haoxiang Desmond(Nanyang Technological University)
Oct 4, 2024School of Mechanical and Aerospace Engineering (MAE)
Related Data for: Development of high order WENO schemes for large-eddy simulation of compressible flows in OpenFOAM
Oct 3, 2024 - U S VEVEK
Vevek, U S, 2024, "Related Data for: Development of high order WENO schemes for large-eddy simulation of compressible flows in OpenFOAM", https://doi.org/10.21979/N9/TKYQI6, DR-NTU (Data), V1
Raw LES data for NPR=4 supersonic jet from circular nozzle.
U S VEVEK(Nanyang Technological University)
Oct 3, 2024School of Mechanical and Aerospace Engineering (MAE)
Wanlan YANG(Nanyang Technological University)
Oct 3, 2024School of Electrical and Electronic Engineering (EEE)
High data rate mmWave Techniques for Beyond-5G/6G Smart Drones Communications
High data rate mmWave Techniques for Beyond-5G/6G Smart Drones Communications
Oct 3, 2024 - High data rate mmWave Techniques for Beyond-5G/6G Smart Drones Communications
Liu, Zhe, 2024, "High data rate mmWave Techniques for Beyond-5G/6G Smart Drones Communications", https://doi.org/10.21979/N9/GCXKLZ, DR-NTU (Data), V2
Through employing mmWave 5G high-band in UAV platforms, we would like to develop techniques to enable a mmWave element with high data rate and long communication range for smart drone beamforming communication. These techniques will also pave way for future smart drone operating...
Generalizable Implicit Motion Modeling for Video Frame Interpolation
Oct 3, 2024 - S-Lab for Advanced Intelligence
Guo, Zujin; Li, Wei; Loy, Chen Change, 2024, "Generalizable Implicit Motion Modeling for Video Frame Interpolation", https://doi.org/10.21979/N9/EDKWDC, DR-NTU (Data), V1
Motion modeling is critical in flow-based Video Frame Interpolation (VFI). Existing paradigms either consider linear combinations of bidirectional flows or directly predict bilateral flows for given timestamps without exploring favorable motion priors, thus lacking the capability...
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