DR-NTU (Data) (Nanyang Technological University)
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1955 research outputs found
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Replication Data for: Ultrafast Crystallization of Ordered Mesoporous Metal Oxides and Carbon from Block Copolymer Self-Assembly and Joule Heating
This dataset contains all raw data in the publication titled with "Ultrafast Crystallization of Ordered Mesoporous Metal Oxides and Carbon from Block Copolymer Self-Assembly and Joule Heating
Replication Data for: Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
This dataset is created to store the related data of the following published paper:
Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu*, “Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning”, ACM/IEEE Design Automation Conference (DAC), 2023
Replication Data for: Topological Transitions with an Imaginary Aubry-Andre-Harper Potential
Matlab codes for the paper "Topological Transitions with an Imaginary Aubry-Andre-Harper Potential
Coupling chemical looping combustion of solid fuels with advanced steam cycles for CO2 capture: A process modelling study
Simulation and data files of the projec
Replication Data for PhD Thesis Chapter 4: Bird species richness and abundances comparable across cashew plantations and forests and their relation to landscape features measurable with acoustic indices
The data files for the PhD Thesis Chapter 4 with lead author Dr. Anushka Rege: Bird species richness and abundances comparable across cashew plantations and forests and their relation to landscape features measurable with acoustic indices
Related Data for: Co-evaporated p-i-n perovskite solar cells with sputtered NiOx hole transport layer
Research data for the publication titled 'Co-evaporated p-i-n perovskite solar cells with sputtered NiOx hole transport layer', published in Materials Today Chemistry with a DOI of 10.1016/j.mtchem.2023.101575
Replication Data for: Stiefel-Whitney topological charges in a three-dimensional acoustic nodal-line crystal
Experimental data for the paper "Stiefel-Whitney topological charges in a three-dimensional acoustic nodal-line crystal"
Replication Data for: Stereoselective Synthesis of β-Alkoxy-β-amido Vinylbenziodoxoles via Iodo(III)etherification of Ynamides
The experimetal data for "Stereoselective Synthesis of β-Alkoxy-β-amido Vinylbenziodoxoles via Iodo(III)etherification of Ynamides" are deposited
Data for: WHU-Helmet: A helmet-based multi-sensor SLAM dataset for the evaluation of real-time 3D mapping in large-scale GNSS-denied environments
Real-time 3D mapping of large-scale Global Navigation Satellite System (GNSS)-denied environments plays an important role in forest inventory management, disaster emergency response, and underground facility maintenance. Compact helmet laser scanning (HLS) systems keep the same direction as the user’s line of sight and have the advantage of “what you see is what you get”, providing a promising and efficient solution for 3D geospatial information acquisition. However, the violent motion of the helmet, the limited field of view of the laser scanner, and the repeated symmetrical geometric structures in GNSS-denied environments pose enormous challenges for the existing simultaneous localization and mapping (SLAM) algorithms. To promote the development of HLS and explore its application in large-scale GNSS-denied environments, the first large-scale HLS dataset covering multiple difficult GNSS-denied areas (e.g., forests, mountains, underground spaces) was built in this study. Besides using an additional very high accuracy fiber-optic inertial measurement unit (IMU), a novel post-processing multi-source fusion method—progressive trajectory correction (PTC)—is proposed to generate a reliable ground-truth trajectory for the benchmark, which overcomes the problems of scan matching degradation and non-rigid distortion. The accuracies of the ground truth are controlled and checked by manually surveyed feature points along the trajectory. Finally, the existing state-of-the-art SLAM methods were evaluated on the WHU-Helmet dataset, summarizing the future HLS SLAM research trends. The full dataset is available for download at: https://github.com/kafeiyin00/WHU-HelmetDataset
Replication Data for: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learning
Data generated during project: Designing degradable polyethene with desirable physical properties via molecular dynamics simulation and machine learnin