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Dataset results
24 results for “power combination”
BIKE Key-Recovery: Combining Power Consumption Analysis and Information-Set Decoding
<p>Data used in the paper: "BIKE Key-Recovery: Combining Power Consumption Analysis and Information-Set Decoding". The paper has been accepted at <a href="https://sulab-sever.u-aizu.ac.jp/ACNS2023/">ACNS-2023</a>.</p> <p>The available dataset contains a file with a few power consumption curves taken from a Cortex-M4 (STM32F4) on a CW308 board.</p> <p>The file is a numpy array stored using the np.save API.<br> The file can be directly used for running the notebooks provided in the <a href="https://github.com/benoitgerard/sca-bike">publication github</a>.</p>
Figures and data: Combining wake redirection and derating strategies in a load-constrained wind farm power maximization
<p><strong>Figures from the publication <em>Combining wake redirection and derating strategies in a load-constrained wind farm power maximization.</em></strong></p> <p> </p> <p>*.fig files can be opened in <code>Matlab</code></p> <p>*.csv files can be opened through a standard text editor (e.g.,<code> Notepad++</code>), imported and visualized in <code>Matlab</code> through the functions <code>>>readmatrix()</code> and <code>>>readtable()</code></p>
Data - Coherent combining of low-power optical signals based on optically amplified error feedback
<p>This dataset contains measurement data and processing code for the results published in "Coherent combining of low-power optical signals based on optically amplified error feedback". Code for the Micro-controllers used in the work is also attached.</p> <p>This work was funded by the Swedish Research Council (grant VR-2015-00535).</p>
Asteroseismology and Interferometry: a powerful combination to understand Ap stars
<p>Ultra-precise, 2-min cadence, photometric data is now available on over one thousand Ap stars, thanks to the NASA Transiting Exoplanet Survey Satellite (TESS) mission. These data is enabling the first unbiased search for pulsations among Ap stars, which, in turn, will impose stringent tests on current theoretical models for the driving of pulsations in these stars. To be successful, these tests require also that the global parameters of the stars are determined with great accuracy. In this talk we will present recent results from an ongoing interferometric programme on Ap stars aimed at establishing their radii and effective temperatures in a quasi model-independent way. We will then show how these accurate parameter determinations are enabling us to test the driving of pulsations in Ap stars, in combination with the asteroseismic data. Finally, we will show how the small cohort of stars in reach of interferometry is being used to test other methods for the computation of stellar parameters that are applicable to a vaster number of Ap stars and how this may, in turn, allow us to check the evolution of their magnetic properties.</p>
Figures of Influence of Time-Varying Atmospheric Channel on Time Reversal Spatial Power Combination of Sparse Array on Ground
<p>A mathematical model of TR (Time Reversal) power combination in the slowly time-varying atmospheric channel and the concept of channel time-varying factor are proposed to study the feasibility of TR technique for spatial power combination in incompletely reciprocal channels. Combining the theoretical analysis and Monte Carlo simulations, we analyze the relationship between the power combination efficiency and the permittivity of the time-varying atmospheric channel, which follows a normal distribution.</p> <p>In this data file, simulation results obtained by commercial software MATLAB are listed. The results indicate that the power combination efficiency of the TR technique will be lower than that of the completely reciprocal channel if the atmospheric channel is slowly varied, and the faster the channel changes, the lower the efficiency becomes. In order to keep the power combination efficiency above 50%, the channel time-varying factor needs to be less than about 54.3% of the signal period. And when it takes more than 90%, the signals radiated by each antenna have been completely incoherent at target point.</p>
Datasets and Codesets for "Wavelet Decomposition and Neural Networks: A Potent Combination for Short Term Wind Speed and Power Forecasting"
<p>This is the datasets and codesets used in the paper:</p> <p>A. E. Kio, J. Xu, N. Gautam, and Y. Ding, 2024, “Wavelet decomposition and neural networks: A potent combination for short term wind speed and power forecasting,” Frontiers in Energy Research, section of Wind Energy, Vol. 12, pp. 1277464. </p> <p>The PDF file, "Reproducibility Report," explains how to reproduce the results in the tables and figures.</p>
Prospective Cohort Study for the Real - Life Effectiveness Evaluation of GlycOpyrronium With IndacatERol Combination in the Management of COPD in Canada (POWER Study)
ClinicalTrials.gov study NCT02202616. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Deep learning and knowledge graph powered drug combination discovery against infectious diseases
<p>The Datasets and source codes for paper "<strong>Deep learning and knowledge graph powered drug combination discovery against infectious diseases</strong>".</p>
Effectiveness of a Powered Exoskeleton Combined With FES for Patients With Chronic SCI: a RCT
ClinicalTrials.gov study NCT05187650. IPD Sharing: NO. Countries: 1. Publications: 9.
Supplementary material 2 from: Gauthey Z, Tentelier C, Lepais O, Elosegi A, Royer L, Glise S, Labonne J (2017) With our powers combined: integrating behavioral and genetic data to estimate mating success and sexual selection. Rethinking Ecology 2: 1-26. https://doi.org/10.3897/rethinkingecology.2.14956
JAGS code for the model : Data type: Programming code.
Supplementary material 1 from: Gauthey Z, Tentelier C, Lepais O, Elosegi A, Royer L, Glise S, Labonne J (2017) With our powers combined: integrating behavioral and genetic data to estimate mating success and sexual selection. Rethinking Ecology 2: 1-26. https://doi.org/10.3897/rethinkingecology.2.14956
Data and model outputs : Data type: Body size, behavioural and genetic data, and model output.
Power Training Combined With Interval Treadmill Training
ClinicalTrials.gov study NCT03625570. IPD Sharing: NO. Countries: 1. Publications: 0.
Inspiration From Eye-tracking Data: Investigating the Impact of Combining Specific Environmental Features and Power Mobility Training
ClinicalTrials.gov study NCT06928077. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Efficacy of a Combination of Ultrasound-guided Intra-articular Injections of Hyaluronic Acid, High-power Laser Therapy and Rehabilitation on Functioning in Patients Affected by Hip Osteoarthritis.
ClinicalTrials.gov study NCT07108400. IPD Sharing: NO. Countries: 1. Publications: 0.
Powered Exoskeleton Combined With Functional Electrical Stimulation in Clinical Practice
ClinicalTrials.gov study NCT04568928. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Combined 3D Power Doppler Placental Volume and Vascular Flow Indices In the First Trimester of Pregnancy as Predictors Of Preeclampsia?.
ClinicalTrials.gov study NCT03399006. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
UltraShape Power in Combination With U-sculpt-n Transducer
ClinicalTrials.gov study NCT02956720. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Biomechanics Responses to Power and Strength Combined Training
ClinicalTrials.gov study NCT04139187. IPD Sharing: YES. Countries: 1. Publications: 0.
Combination Topical Cysteamine and Fractional 1927nm Low-Powered Diode Laser for Treatment of Facial Melasma
ClinicalTrials.gov study NCT05656833. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Hysterosalpingo-Foam Ultrasonography Combined With Power Doppler, Compared With Laparoscopy in Tubal Patency Assessment in Cases of Infertility
ClinicalTrials.gov study NCT05209542. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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OpenNeuro
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