DR-NTU (Data) (Nanyang Technological University)
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1955 research outputs found
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Replication Data for: Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems
No full textReplication Data for: Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking System
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation
No full textOpen-vocabulary semantic segmentation requires models to effectively integrate visual representations with open-vocabulary semantic labels. While Contrastive Language-Image Pre-training (CLIP) models shine in recognizing visual concepts from text, they often struggle with segment coherence due to their limited localization ability. In contrast, Vision Foundation Models (VFMs) excel at acquiring spatially consistent local visual representations, yet they fall short in semantic understanding. This paper introduces ProxyCLIP, an innovative framework designed to harmonize the strengths of both CLIP and VFMs, facilitating enhanced open-vocabulary semantic segmentation. ProxyCLIP leverages the spatial feature correspondence from VFMs as a form of proxy attention to augment CLIP, thereby inheriting the VFMs’ robust local consistency and maintaining CLIP’s exceptional zero-shot transfer capacity. We propose an adaptive normalization and masking strategy to get the proxy attention from VFMs, allowing for adaptation across different VFMs. Remarkably, as a training-free approach, ProxyCLIP significantly improves the average mean Intersection over Union (mIoU) across eight benchmarks from 40.3 to 44.4, showcasing its exceptional efficacy in bridging the gap between spatial precision and semantic richness for the open-vocabulary segmentation task
Related data for: Bio-catalyzed Oxidation Self-Charging Zinc-Polymer Batteries
No full textOxidation self-charging batteries have emerged with the demand for powering electronic devices around the clock. The low efficiency of self-charging has been the key challenge at present. Here, a more efficient autoxidation self-charging mechanism is realized by introducing hemoglobin (Hb) as a positive electrode additive in the polyaniline (PANI)-zinc battery system. The heme acts as a catalyst that reduces the energy barrier of the autoxidation reaction by regulating the charge and spin state of O2. To realize self-charging, the adsorbed O2 molecules capture electrons of the reduced (discharged state) PANI, leading to the desorption of zinc ions and the oxidation of PANI to complete self-charging. The battery can discharge for 12 min (0.5 C) after 50 self-charging/discharge cycles, while there is nearly no discharge capacity in the absence of Hb. This biology-inspired electronic regulation strategy may inspire new ideas to boost the performance of self-charging batteries
Related data for: DATE2019-Thermal sensing using micro-ring resonators in optical network-on-chip
No full textIn this paper, we for the first time utilize the micro-ring resonators (MRs) in optical networks-on-chip (ONoCs) to implement thermal sensing without requiring additional hardware or chip area. The challenges in accuracy and reliability that arise from fabrication-induced process variations (PVs) and device-level wavelength tuning mechanism are resolved. We quantitatively model the intrinsic thermal sensitivity of MRs with finegrained consideration of wavelength tuning mechanism. Based on it, a novel PV-tolerant thermal sensor design is proposed. By exploiting the hidden `redundancy' in wavelength division multiplexing (WDM) technique, our sensor achieves accurate and efficient temperature measurement with the capability of PV tolerance. Evaluation results based on professional photonic component and circuit simulations show an average of 86.49% improvement in measurement accuracy compared to the state-of-the-art on-chip thermal sensing approach using MRs. Our thermal sensor achieves stable performance in the ONoCs employing dense WDM with an inaccuracy of only 0.8650 K
Replication Data for: Enhancing Two-Dimensional Electronic Spectroscopy for Layered Halide Perovskites
No full textThe photophysics of layered halide perovskites reveals a rich disposition of exciton behaviour. Two-dimensional electronic spectroscopy (2DES) is a powerful technique for investigating such excitonic interactions and dynamics. However, the wide spectral range of layered perovskites presents a challenge in studies utilizing conventional 2DES setups to simultaneously probe their interacting excitonic states. Herein, we put forward a versatile 2DES setup employing a hollow-core fiber compressor (HCFC) to generate stable and optimized broadband laser pulses (6 fs) covering a spectral range of 500-950 nm. 2D spectra with high temporal and spectral resolution are possible even with a pulse-shaper based commercial 2DES setup. Application to a representative two-phase Ruddlesden-Popper perovskite thin film reveals well-defined signals on the diagonal and off-diagonal positions, indicative of exciton delocalization between the two transitions. Our straight-forward modification of a commercial 2DES setup extends its capabilities to investigate the large family of layered perovskites currently under intense scrutiny in the development of perovskite optoelectronics
Related Data for: Valley-conserved topological integrated antenna for 100 Gbps THz wireless
No full textTopological phase has transformed the wave transport in condensed matter, photonic and acoustic systems, enabling integrated topological photonic circuits that allow the sharp bending of light on a chip. However, the momentum mismatch caused by material impedance inconsistency during inter-medium topological mode transitions has remained challenging. Here, we demonstrate topological wireless communication link comprising valley momentum conserved devices integrated with a graded refractive index buffer. Our proposed system facilitates inter-chip communication over-the-air with a data rate of 100 Gbps achieved through perfect valley momentum-matched on-chip topological components. The valley-conserved silicon antenna exhibits a gain of 12.2 dBi and constant group delay over a broad bandwidth of 30 GHz while also allowing active beam steering with an angular range of 36° and minimal loss to the antenna gain. The topological valley-conserved devices set a milestone for hybrid electronic-photonic-based topological wireless communications, paving the way for terabit per second backhaul communication with high throughput and the inter-medium transport of waves. These innovative and CMOS compatible terahertz silicon topological devices have the potential for revolutionizing future wireless communication, opening new avenues for advanced electronic-photonic-based topological technologies
Localization dataset from 5G receiver of the vehicle
No full text5G signals from USRP receiver on the moving vehicl
Replication Data for: Multiscale virtual particle based elastic network model (MVP-ENM) for normal mode analysis of large-sized biomolecules
No full textIn this paper, a multiscale virtual particle based elastic network model (MVP-ENM) is proposed for the normal mode analysis of large-sized biomolecules. The multiscale virtual particle (MVP) model is proposed for the discretization of biomolecular density data. With this model, large-sized biomolecular structures can be coarse-grained into virtual particles such that a balance between model accuracy and computational cost can be achieved. An elastic network is constructed by assuming “connections” between virtual particles. The connection is described by a special harmonic potential function, which considers the influence from both the mass distributions and distance relations of the virtual particles. Two independent models, i.e., the multiscale virtual particle based Gaussian network model (MVP-GNM) and the multiscale virtual particle based anisotropic network model (MVP-ANM), are proposed. It has been found that in the Debye–Waller factor (B-factor) prediction, the results from our MVP-GNM with a high resolution are as good as the ones from GNM. Even with low resolutions, our MVP-GNM can still capture the global behavior of the B-factor very well with mismatches predominantly from the regions with large B-factor values. Further, it has been demonstrated that the low-frequency eigenmodes from our MVP-ANM are highly consistent with the ones from ANM even with very low resolutions and a coarse grid. Finally, the great advantage of MVP-ANM model for large-sized biomolecules has been demonstrated by using two poliovirus virus structures. The paper ends with a conclusion
Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
No full textThis dataset is created to restore the related data of the following published paper:
Hao Kong, Xiangzhong Luo, Shuo Huai, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu*, “EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI”, ACM/IEEE Design, Automation and Test in Europe (DATE), 2023
Replication Data for: Quantum plasmonic nonreciprocity in parity-violating magnets
No full textThis dataset contains numerical data for the paper "Quantum Plasmonic Nonreciprocity in Parity-Violating Magnets