61 to 70 of 153 Results
Mar 16, 2023 - Digital Signal Processing Laboratory
Luo, Zhengding; Shi, Dongyuan; Gan, Woon-Seng, 2023, "Synthetic noise dataset", https://doi.org/10.21979/N9/ETJWLU, DR-NTU (Data), V1
The synthetic noise dataset is divided into 3 subsets: 80,000 noise tracks for training, 2,000 noise tracks for validation, and remaining 2,000 noise tracks for testing. The synthetic noise tracks are generated by filtering white noise through various band-pass filters with rando... |
Jan 25, 2023 - Sunchao Huang
Huang, Sunchao; Duan, Ruihuan; Pramanik, Nikhil; Herrin, Jason Scott; Boothroyd, Chris; Liu, Zheng; Wong, Liang Jie, 2023, "Quantum recoil in free-electron interactions with atomic lattices", https://doi.org/10.21979/N9/ZGDIXL, DR-NTU (Data), V1, UNF:6:sAMwppHlSyBOskcCLSPJUw== [fileUNF]
Source data for journal paper (Nature Photonics): Quantum recoil in free-electron interactions with atomic lattices. |
Jan 25, 2023 - YE Wenzheng
Ye, Wenzheng; Bizarri, Gregory; Birowosuto, Muhammad Danang; Wong, Liang Jie, 2023, "Enhancing large-area scintillator detection with photonic crystal cavities", https://doi.org/10.21979/N9/Y61CFL, DR-NTU (Data), V1
Data for the journal paper (ACS Photonics): Enhancing large-area scintillator detection with photonic crystal cavities |
Oct 21, 2022 - Jin Chengming
Jin, Chengming, 2022, "WP3 Ranging experiments Part 1", https://doi.org/10.21979/N9/6ME4IY, DR-NTU (Data), V1
As part of the WP3 project requirements, some of ranging measurement data are publicly shared and deposited. |
Oct 21, 2022 - Team Learning in EEE Lab
Rusli, 2022, "Team learning in laboratories", https://doi.org/10.21979/N9/IBT89I, DR-NTU (Data), V1, UNF:6:Y+dsJBBGAv9KySvUjFOUag== [fileUNF]
This is the data set for the project on Team Learning in Laboratories. The paper: The Impact of Collaborative Learning on Theoretical Understanding in Electrical Engineering Laboratories: A Quasi-Experimental Study, was presented at Frontiers in Education 2022 (FIE 2022), Upsala,... |
Oct 20, 2022 - Ultrafast Photonics Research Group
Deng, Ang, 2022, "Microjoule-level mid-infrared femtosecond pulse generation in hollow-core fibres", https://doi.org/10.21979/N9/P3OPPA, DR-NTU (Data), V2, UNF:6:ehOViWsVr2Ld4geyWjq5LQ== [fileUNF]
This dataset demonstrates a fiber-based approach that generates mid-infrared femtosecond pulses in the 3-4 µm spectral region with microjoule-level single pulse energy in gas-filled hollow-core fibers |
Oct 17, 2022 - Jin Chengming
Jin, Chengming, 2022, "Positioning Experiments using C-V2X freq", https://doi.org/10.21979/N9/S31QEB, DR-NTU (Data), V3
As part of the WP3 project requirements, some channel measurement data related to ranging are publicly shared |
Sep 26, 2022 - Nguyen Thien Minh
Nguyen, Thien-Minh; Yuan, Shenghai; Cao, Muqing; Lyu, Yang; Nguyen, Hoang Thien; Xie, Lihua, 2021, "NTU VIRAL DATASET", https://doi.org/10.21979/N9/X39LEK, DR-NTU (Data), V5
This dataset contains rosbag files featuring an extensive set of sensors: 1 IMU, 2 Lidars, 2 cameras, 4 UWB nodes, mounted on a DJI Matrice 600 Hexacopter. The data were collected at different locations in NTU, Singapore. Please visit the project's website at https://ntu-aris.git... |
Aug 30, 2022 - Ultrafast Photonics Research Group
Chang, Wonkeun, 2022, "MATLAB 1-D uni-directional field propagation equation solver", https://doi.org/10.21979/N9/ZC34A1, DR-NTU (Data), V1
A MATLAB implementation of 1-D uni-directional field propagation equation solver for simulating femtosecond pulse propagation in gas-filled hollow-core fiber |
Aug 13, 2022 - Li Ting
Li, Ting; Koh, Jie Yan Cheryl; Moudgil, Akshay; Cao, Huan; Wu, Xihu; Chen, Shuai; Hou, Kunqi; Surendran, Abhijith; Stephen, Meera; Tang, Cindy; Wang, Chongwu; Wang, Qi Jie; Tay, Chor Yong; Leong, Wei Lin, 2022, "Replication Data for: Biocompatible Ionic Liquids in High-Performing Organic Electrochemical Transistors for Ion Detection and Electrophysiological Monitoring", https://doi.org/10.21979/N9/SAJEX0, DR-NTU (Data), V3
Organic electrochemical transistors (OECTs) have recently attracted attention due to their high transconductance and low operating voltage, which makes them ideal for a wide range of biosensing applications. Poly-3,4-ethylenedioxythiophene:poly-4-styrenesulfonate (PEDOT:PSS) is a... |
