Map matching on low sampling rate trajectories through deep inverse reinforcement learning and multi-intention modeling
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2024.2391411
Abstract: Abstract Analyzing freight vehicle movements using GPS trajectory data presents challenges due to environmental conditions and hardware limitations impacting data accuracy. Map matching, the process of aligning GPS signals with road networks, facilitates accurate route… read more here.
Keywords: low sampling; inverse reinforcement; reinforcement learning; map matching ... See more keywords
Enhancing Accuracy of 2D 1H–13C HSQC NMR Spectra Under Low Sampling Rates via Non-Harmonic Analysis and Band Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3585189
Abstract: Multidimensional nuclear magnetic resonance (NMR) spectroscopy is a powerful tool for analyzing molecular structures; however, its practical application is hindered by prolonged acquisition times and reduced resolution due to spectral overlap. Although non-uniform sampling (NUS)… read more here.
Keywords: low sampling; analysis; sampling rates; band ... See more keywords
Effect of Low Over-Sampling Rate on a 64Gbaud/DP-16QAM 100-km Optical Link
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Photonics Technology Letters"
DOI: 10.1109/lpt.2018.2864639
Abstract: We experimentally demonstrated a one-span 100-km transmission of 64Gbaud/DP-16QAM signal using a state-of-the-art InP-based coherent transmitter and receiver, a 1-sample/symbol DAC without pulse shaping, and a 1.25-sample/symbol ADC/DSP. Various system performance penalties related to the… read more here.
Keywords: effect low; 16qam 100; low sampling; rate 64gbaud ... See more keywords
Intelligent Diagnosis of Closed-Loop Motor Drives Using Interior Control Signals Under Industrial Low Sampling Rate Conditions
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2025.3572980
Abstract: Interior control signals derived from motor controllers have gained increasing attention in closed-loop motor drive systems for interturn short-circuit fault diagnosis. Mainstream diagnosis methods generally rely on the extraction of control signals within experimental settings… read more here.
Keywords: low sampling; diagnosis; control; control signals ... See more keywords
Health Assessment for RUL Prediction of Machinery Components Using Low-Sampling Temporal Signals: A Condensed Image Coding Approach
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3249224
Abstract: An effective health assessment guarantees the high accuracy of remaining useful life (RUL) prediction of machinery components. The key to health assessment is the health indicator (HI) of machinery components, which are generally constructed by… read more here.
Keywords: health; machinery components; rul prediction; prediction ... See more keywords
Accurate Discrete-Time Modeling for Improved Torque Control Accuracy for Induction Machine Drives at Very Low Sampling-to-Fundamental Frequency Ratios
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Transportation Electrification"
DOI: 10.1109/tte.2020.2977204
Abstract: Operations at low sampling-to-fundamental frequency (S2F) ratios of induction machines are required for high-power or high-speed applications. The traditional indirect field-oriented control is open-loop control on torque, which is sensitive to machine parameters and degrades… read more here.
Keywords: discrete time; time; control; machine ... See more keywords
OAM-basis underwater single-pixel imaging based on deep learning at a low sampling rate.
Sign Up to like & getrecommendations! Published in 2024 at "Optics express"
DOI: 10.1364/oe.543358
Abstract: Our study introduces a pioneering underwater single-pixel imaging approach that employs an orbital angular momentum (OAM) basis as a sampling scheme and a dual-attention residual U-Net generative adversarial network (DARU-GAN) as reconstruction algorithm. This method… read more here.
Keywords: low sampling; pixel imaging; underwater single; basis ... See more keywords
Ultra-low sampling resolution technique for heterodyne phase-OTDR based distributed acoustic sensing.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.456925
Abstract: Phase-sensitive optical time-domain reflectometry (Φ-OTDR) based on heterodyne detection is widely used for its simple structure and high signal-to-noise ratio (SNR). However, the large amount of raw data of Φ-OTDR places a heavy burden on… read more here.
Keywords: heterodyne; sampling resolution; phase; low sampling ... See more keywords
A Fusion Load Disaggregation Method Based on Clustering Algorithm and Support Vector Regression Optimization for Low Sampling Data
Sign Up to like & getrecommendations! Published in 2019 at "Future Internet"
DOI: 10.3390/fi11020051
Abstract: In order to achieve more efficient energy consumption, it is crucial that accurate detailed information is given on how power is consumed. Electricity details benefit both market utilities and also power consumers. Non-intrusive load monitoring… read more here.
Keywords: disaggregation; vector regression; support vector; load disaggregation ... See more keywords
An Alternative Low-Cost Embedded NILM System for Household Energy Conservation with a Low Sampling Rate
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14020279
Abstract: The measurement of the energy consumption of electrical appliances, where the meter is installed at a single point on the main input circuit of the building, is called non-intrusive load monitoring (NILM). The NILM method… read more here.
Keywords: system; energy; nilm system; sampling rate ... See more keywords
Improving the performance of eye trackers with limited spatial accuracy and low sampling rates for reading analysis by heuristic fixation-to-word mapping
Sign Up to like & getrecommendations! Published in 2018 at "Behavior Research Methods"
DOI: 10.3758/s13428-018-1120-x
Abstract: The recent growth in low-cost eye-tracking systems makes it feasible to incorporate real-time measurement and analysis of eye position data into activities such as learning to read. It also enables field studies of reading behavior… read more here.
Keywords: analysis; low sampling; eye trackers; eye ... See more keywords