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1-20 of 1560 Search Results for
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Book Chapter
Series: AIPP Books, Professional
Published: March 2023
10.1063/9780735425712_006
EISBN: 978-0-7354-2571-2
ISBN: 978-0-7354-2568-2
... momentum). Topic area Learning outcome Related variables Hardware used Software acquisition and analysis Reference Dynamics : Linear momentum Understand the physics of momentum v, F Force plate logger sensor, camera, PC Neulog ( Neulog Data Acquisition and Analysis...
Book Chapter
Series: AIPP Books, Methods
Published: March 2023
10.1063/9780735425743_010
EISBN: 978-0-7354-2574-3
ISBN: 978-0-7354-2572-9
...Bhadriaju, B., Kwon, J. S-Il., and Khan, F., “Data-driven adaptive sparse modeling of chemical process systems,” in Energy Systems and Processes: Recent Advances in Design and Control, edited by M. Li (AIP Publishing, Melville, New York, 2023), pp. 10-1–10-20. Introduction Over the past...
Book Chapter
Series: AIPP Books, Principles
Published: February 2023
10.1063/9780735425163_007
EISBN: 978-0-7354-2516-3
ISBN: 978-0-7354-2513-2
...Introduction The data deluge produced by power systems digitalization coupled with the advancements in data analytics creates huge potential for data-driven power grid solutions ( Mostafa et al., 2022 ). The digital grid’s IOT and advanced metering infrastructures produce data volumes...
Book Chapter
Series: AIPP Books, Professional
Published: March 2023
10.1063/9780735425514_023
EISBN: 978-0-7354-2551-4
ISBN: 978-0-7354-2548-4
...) with reasons Participants 4a Eligibility criteria for participants 4b Settings and locations where the data were collected Interventions 5 The interventions for each group with sufficient details to allow replication, including how and when they were actually administered Outcomes 6a...
Book Chapter
Book: Toward Better Photovoltaic Systems: Design, Simulation, Optimization, Analysis, and Operations
Series: AIPP Books, Principles
Published: March 2023
10.1063/9780735425613_002
EISBN: 978-0-7354-2561-3
ISBN: 978-0-7354-2560-6
... of ambient temperature. But these uncertain atmospheric data are changeable during the day. To address this issue, maximum power point tracking (MPPT) algorithms have been proposed as a control technique to mitigate the effects of fluctuations and deterioration in metrological conditions ( Özbek and Çelik...
Images
in Technological Pedagogical Content Knowledge (TPACK) in Physics Education
> The International Handbook of Physics Education Research: Teaching Physics
Published: March 2023
FIG. 1.6 The data sources and tools in the studies. More about this image found in The data sources and tools in the studies.
Images
in Smartphones as an Educational Intervention for PER. Framing an Analysis for Determinants and Perspectives
> The International Handbook of Physics Education Research: Teaching Physics
Published: March 2023
FIG. 3.2 Physics toolbox data display screen from the acceleration 3D sensor. More about this image found in Physics toolbox data display screen from the acceleration 3D sensor.
Images
in Smartphones as an Educational Intervention for PER. Framing an Analysis for Determinants and Perspectives
> The International Handbook of Physics Education Research: Teaching Physics
Published: March 2023
FIG. 3.5 Data display screen from audio spectrum, gyroscope, and sonar experiments. More about this image found in Data display screen from audio spectrum, gyroscope, and sonar experiments.
Images
in Using Sensors and Digital Data Collection/Analysis Technologies in K–12 Physics Education Under the STEM Perspective
> The International Handbook of Physics Education Research: Teaching Physics
Published: March 2023
FIG. 6.14 Students collecting temperature data in Levadia City, GR (see: https://en.wikipedia.org/wiki/Livadeia ). More about this image found in Students collecting temperature data in Levadia City, GR (see: https://en....
Images
in Quantitative Methods in PER
> The International Handbook of Physics Education Research: Special Topics
Published: March 2023
FIG. 24.2 Illustration of the effects of nested data. More about this image found in Illustration of the effects of nested data.
Images
in Modeling and Simulation of Solar Photovoltaic (PV) System
> Toward Better Photovoltaic SystemsDesign, Simulation, Optimization, Analysis, and Operations
Published: March 2023
FIG. 1.6 Classification of PV power forecasting model based on historical data ( Das et al., 2018 ). More about this image found in Classification of PV power forecasting model based on historical data ( Das...
Images
in Modeling and Simulation of Solar Photovoltaic (PV) System
> Toward Better Photovoltaic SystemsDesign, Simulation, Optimization, Analysis, and Operations
Published: March 2023
FIG. 1.8 Predictive models of data preparation and methods used ( Rana et al., 2020 ). More about this image found in Predictive models of data preparation and methods used ( Rana et al...
Images
in Monitoring, Fault Detection and Operations of Photovoltaic Systems
> Toward Better Photovoltaic SystemsDesign, Simulation, Optimization, Analysis, and Operations
Published: March 2023
FIG. 6.7 (a) IoT-based remote monitoring system, (b) posted data on the Blynk platform (voltage, current, power, air temperature, solar irradiance, and cell temperature), and (c) the monitored PV array installed at the rooftop of the University of Jijel (Algeria). More about this image found in (a) IoT-based remote monitoring system, (b) posted data on the Blynk platfo...
Images
in Modeling Biomass Degradation with Multiscale kMC Simulations
> Energy Systems and ProcessesRecent Advances in Design and Control
Published: March 2023
FIG. 11.5 The expected CWT evolution from the multiscale model and experiment data. More about this image found in The expected CWT evolution from the multiscale model and experiment data.
Images
in Modeling, Order-Reduction, and Controller Design of Hydraulic Fracturing
> Energy Systems and ProcessesRecent Advances in Design and Control
Published: March 2023
FIG. 12.11 Comparison of widths obtained from the hybrid model and the training data. More about this image found in Comparison of widths obtained from the hybrid model and the training data.
Images
in Strain Engineering of Metal Insulator Transition in VO2
> Strain Engineering in Functional Materials and Devices
Published: March 2023
FIG. 4.4 Cross sections through the 2D optical pump—THz probe data of equilibrium conductivity of VO2 with predominant components of (a) P, phonon resonances and (b) E, electronic conductivity ( Kübler et al., 2007 ). More about this image found in Cross sections through the 2D optical pump—THz probe data of equilibrium co...
Images
in Modeling, Order-Reduction, and Controller Design of Hydraulic Fracturing
> Energy Systems and ProcessesRecent Advances in Design and Control
Published: March 2023
FIG. 12.13 Comparison of widths obtained from the hybrid model, first-principles model, and the actual data ( Bangi and Kwon, 2020 ). More about this image found in Comparison of widths obtained from the hybrid model, first-principles model...
Images
in Using Sensors and Digital Data Collection/Analysis Technologies in K–12 Physics Education Under the STEM Perspective
> The International Handbook of Physics Education Research: Teaching Physics
Published: March 2023
FIG. 6.8 Linear Hall effect sensor (left picture) (see: https://www.addicore.com/SS49E-Linear-Hall-Sensor-p/ad316.htm ) and QtiPlot. Data Analysis and scientific visualization (right picture) (see: https:// shorturl.at/lXYZ5 ). More about this image found in Linear Hall effect sensor (left picture) (see: https://www.addicore.com/SS...
Images
in Framework for and Review of Research on Assessing and Improving Equity and Inclusion in Undergraduate Physics Learning Environments
> The International Handbook of Physics Education Research: Special Topics
Published: March 2023
FIG. 2.1 Flowchart of physics education research on equity and inclusion focusing on women and ethnic/racial minority students with data collected from undergraduate students in physics courses. The arrows show connections between studies with some related themes. More about this image found in Flowchart of physics education research on equity and inclusion focusing on...
Images
in Design and Optimization of Natural Gas Purification with Ionic Liquids
> Energy Systems and ProcessesRecent Advances in Design and Control
Published: March 2023
FIG. 3.4 The CH4 solubility in [EMIM][Tf2N] and [EMIM][Tf2N] + H2O under different temperatures. Points, experimental values; line, predicted data by UNIFAC-Lei model. Reprinted with permission from Yu et al., Energy Fuels 31 (2), 1429–1439 (2017). Copyright 2017 American Chemical Society. More about this image found in The CH4 solubility in [EMIM][Tf2N] and [EMIM][Tf...
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