DR-NTU (Data) (Nanyang Technological University)
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1955 research outputs found
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CMOS Terahertz Plasmonic Interconnect towards Tera-scale Computing
No full textThis project seeks to solve several scientific and practical challenges that surface plasma presents for high-performance on-chip communication. With the knowledge gained, we aim to design a novel crosstalk-free all-surface-wave I/O transceiver using low-cost CMOS technologies instead of expensive processes, thereby allowing for real-life low-cost applications
Replication Data for: 327 Gbps THz Silicon Photonic Interconnect with Sub-λ Bends
No full textMiniaturized photonic devices at the terahertz (THz) band are envisioned to bring significant enhancement to data transfer capacity and integration density for computing and future wireless communications. Broadband silicon waveguiding technology has continuously matured to advance low-loss platforms for integrated solutions. However, challenges are faced in realizing compact waveguiding platforms with different degrees of bends due to bend induced losses and mode distortion. Here, we demonstrate multiple bend incorporated photonic crystal waveguide platform for multi-carrier on-chip transmission. Our silicon interconnect device exhibits optimized bending radius to the free space wavelength ratio of 0.74, without signal distortion and transmission bandwidth of 90 GHz, representing 25.4% fractional bandwidth at 355 GHz. The broadband waveguide interconnect enables an aggregate data transfer rate of 327 Gbps by sending the complex modulated data over multiple carriers. This work augments the development of THz photonic integrated circuit (TPIC) for the future generations of on-chip high data-rate interconnect and wireless communication, ranging from the sixth to X generation (6G to XG)
Next-Generation V2X Network Architecture and Ecosystem for Smart Mobility
No full textOur project will develop a reconfigurable transceiver utilizing CMOS technology targeting the 5.9-GHz ISM band. This transceiver can be configured to be used for C-V2X and DSRC V2X networks, respectively. It consists of three main blocks: receiver front-end, transmitter front-end, and frequency synthesizer
Pre-registration for cross-language lexical semantic priming in English-dominant bilingual Singaporeans
No full textDataverse for preregistration documents for FYP project initiated by Tong, Zhane C. in 2023, under the supervision of SJS, and with support from HLG. Document deposit date: 2023-11-15
Replication Data for: Limited degradability of dissolved organic carbon, nitrogen, and phosphorus during contrasting seasons in a tropical coastal environment
No full textThis dataset contains the replication for the manuscript by Jiangyong Chu et al., "Limited degradability of dissolved organic carbon, nitrogen, and phosphorus during contrasting seasons in a tropical coastal environment", submitted to Limnology and Oceanograph
Coupled Model Intercomparison Project Phase 6 model data
No full textCMIP6 model data is available freely from this website
Replication Data for: Electrically generated exciton polaritons with spin on-demand
No full textThe raw data for the figures presented in the main text
Appendix E: Drainage basin analysis and footprint description
No full textDescription for drainage basin analysis method, with description of KML footprints footprints provided
Kalman-Inspired Feature Propagation for Video Face Super-Resolution
No full textDespite the promising progress of face image super-resolution, video face super-resolution remains relatively under-explored. Existing approaches either adapt general video super-resolution networks to face datasets or apply established face image super-resolution models independently on individual video frames. These paradigms encounter challenges either in reconstructing facial details or maintaining temporal consistency. To address these issues, we introduce a novel framework called Kalman-inspired Feature Propagation (KEEP), designed to maintain a stable face prior over time. The Kalman filtering principles offer our method a recurrent ability to use the information from previously restored frames to guide and regulate the restoration process of the current frame. Extensive experiments demonstrate the effectiveness of our method in capturing facial details consistently across video frames