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11,506 results for “Dynamics”
Dynamic re-calibration of perceived size in fovea and periphery through predictable size changes
<p>Dataset relative to the following publication:</p> <p>Valsecchi, M. & Gegenfurtner, K.R (2016). Dynamic re-calibration of perceived size in fovea and periphery through predictable size changes. Current Biology, 26, 59-63.</p> <p>Each folder contains the data relative to one experiment and the script that was used to generate them. </p> <p>Each data folder contains a description of the data format which should be sufficient to replicate the analyses as performed in the paper. </p> <p>Additional info can be deducted fromt he experimental scripts.</p>
Measures of dynamism and urgency in logistics - dataset & results
<p>Dataset and results of <em>Measures of dynamism and urgency in logistics</em>. Rinde R.S. van Lon, Eliseo Ferrante, Ali E. Turgut, Tom Wenseleers, Greet Vanden Berghe, and, Tom Holvoet. European Journal of Operational Research. ISSN 0377-2217. http://dx.doi.org/10.1016/j.ejor.2016.03.021.</p>
Enhanced IEEE RTS-96 test case w/ synthesized dynamic parameters
<p>Enhanced IEEE RTS-96 test case w/ synthesized dynamic parameters<br /> Compatible with Siemens PTI PSS/E v33, adapted from Grigg et al., 1999</p> <p>Salient generator models<br /> IEEE T1 exciter models<br /> IEEE G2 governor models</p>
Tantabiddi Sediment Dynamics Experiment (Ninglaoo Reef): Hydrodynamic and suspended sediment data
<p>This data set contains hydrodynamic and suspended sediment concentration measurements from Tantabiddi (Ningaloo Reef), Western Australia. </p>
Supplementary dataset for journal article "High-accuracy current measurement with low-cost shunts by means of dynamic error correction"
<p>Supplementary material for the journal article "High-accuracy current measurement with low-cost shunts by means of dynamic error correction".</p> <p>Measurements include</p> <ul> <li>Temperature dependence of a single 10mOhm shunt resistor in TO-247 package.</li> <li>Calibration sequence measurements for automated 600A test equipment for studies on automotive Li-Ion cells.</li> <li>Obtained dynamic and steady-state calibration parameters</li> <li>Parameter distribution for 100 test systems.</li> <li>Parameter drift for a single tester after one year of operation</li> </ul> <p>All data has been combined into a single binary Matlab-File.</p>
Enhanced Poland test case w/synthesized dynamic parameters and protective devices
<p>Enhanced Poland test case w/ synthesized dynamic parameters and protective devices<br> Compatible with Siemens PTI PSS/E v33, adapted from MATPOWER 5.0 case2383wp.m (http://www.pserc.cornell.edu/matpower/)<br> <br> Used as a test case for the paper: `A Learning Scheme for Microgrid Islanding and Reconnection.' IEEE Transactions on Power Systems, in press. ( http://ieeexplore.ieee.org/document/7935511/ , https://arxiv.org/abs/1611.05317 )</p> <p>Dynamic parameters:<br> Machine models:<br> -GENSAL: Salient generator.</p> <p> Machine governors:<br> -IEEEG2: IEEE Type 2 speed-governing system.</p> <p> Machine excitation system:<br> -IEEET1: IEEE Type 1 excitation system.</p> <p>Protective relays:<br> -TIOCR1: Time inverse overcurrent relay (used on all lines in network).<br> -UVUFBLU1: Under voltage/frequency load shedding relay (used on all buses in network).<br> -FRQTPAT: Under frequency generator trip relay (used on all machines, one per set point).</p>
Optimizing agents with genetic programming - An evaluation of hyper-heuristics in dynamic real-time logistics - datasets and results
<p>This directory contains the data and results that we used and obtained during the realization of the following paper:</p> <blockquote> <p>Optimizing agents with genetic programming - An evaluation of hyper-heuristics in dynamic real-time logistics. Rinde R.S. van Lon, Juergen Branke, and Tom Holvoet. Genetic Programming and Evolvable Machines (2017).</p> </blockquote> <p>The code that has been used can be found on GitHub (https://github.com/rinde/vanLon17-GPEM-code), an archive is available at https://doi.org/10.5281/zenodo.260130.</p> <p>This repository contains the following files:</p> <ul> <li>evo.zip (expands to 21.2 GB) A zip file containing all results of the training experiment and tuning experiment.</li> <li>JAAMAS.zip (expands to 227.6 MB) A zip file containing the main results of the JAAMAS experiment, also available at https://doi.org/10.5281/zenodo.209760</li> <li>realtime.zip (expands to 913.5 MB) A zip file containing the main results</li> <li>dataset10k.zip (expands to 4.9 GB) Contains the scenarios used for the training and tuning experiments.</li> <li>overview.zip (expands to 42 MB) Contains the following files: <ul> <li>overview/experiment-overview.csv - table containing basic overview of the 40 main evolutionary runs that were performed for this paper.</li> <li>overview/heuristics/ - folder with a tree visualization for every evolved heuristic.</li> <li>overview/makefile - executes the analysis scripts that were used in the paper (requires the R programming language, https://www.r-project.org/). All tables and figures will be placed in results/generated/.</li> <li>readme.txt - this file.</li> <li>overview/results/ - contains the scripts</li> <li>overview/results/data/ - empty directory in which evo.zip, JAAMAS.zip, and realtime.zip have to be unpacked for the analysis scripts to work.</li> </ul> </li> </ul>
Supplemental Information: Dynamic Team Heterogeneity in Cooperative Coevolutionary Algorithms
<p>Videos of some of the solutions evolved with Hyb-CCEA and a standard CCEA, for the Soccer and Multi-rover tasks.</p>
Figure 2. from: Tree Diversity and Dynamics of the Forest of Seu Nico, Viçosa, Minas Gerais, Brazil - Biodiversity Data Journal 3: e5425 (31 July 2015) https://doi.org/10.3897/BDJ.3.e5425
Figure 2. - Croqui of the 100 x 100 m FSN Dynamics Plot (Suppl. material 1).
Figure S4.20. Dynamic weekly suitability map for sei whales around central group islands (Pico, Faial, São Jorge and Terceira), Azores.
<p> Dynamic weekly suitability map for sei whales around central group islands (Pico, Faial, São Jorge and Terceira), Azores.</p>
Figure S4.16. Dynamic weekly suitability map for blue whales around central group islands (Pico, Faial, São Jorge and Terceira), Azores.
<p>Dynamic weekly suitability map for blue whales around central group islands (Pico, Faial, São Jorge and Terceira), Azores.</p>
Figure S4.2. Dynamic weekly suitability map for sperm whales around central group islands (Pico, Faial, São Jorge and Terceira), Azores.
<p>Dynamic weekly suitability map for sperm whales around central group islands (Pico, Faial, São Jorge and Terceira), Azores.</p>
Figure S4.12. Dynamic weekly suitability map for short-beaked common dolphins around central group islands (Pico, Faial, São Jorge and Terceira), Azores.
<p>Dynamic weekly suitability map for short-beaked common dolphins around central group islands (Pico, Faial, São Jorge and Terceira), Azores.</p>
Figure S4.14. Dynamic weekly suitability map for bottlenose dolphins around central group islands (Pico, Faial, São Jorge and Terceira), Azores.
<p>Dynamic weekly suitability map for bottlenose dolphins around central group islands (Pico, Faial, São Jorge and Terceira), Azores.</p>
Figure S4.6. Dynamic weekly suitability map for Risso's dolphins around central group islands (Pico, Faial, São Jorge and Terceira), Azores.
<p>Dynamic weekly suitability map for Risso's dolphins around central group islands (Pico, Faial, São Jorge and Terceira), Azores.</p>
Figure S4.4. Dynamic weekly suitability map for short-finned pilot whales around central group islands (Pico, Faial, São Jorge and Terceira), Azores.
<p>Dynamic weekly suitability map for short-finned pilot whales around central group islands (Pico, Faial, São Jorge and Terceira), Azores.</p>
Figure S4.8. Dynamic weekly suitability map for stripped dolphins around central group islands (Pico, Faial, São Jorge and Terceira), Azores.
<p>Dynamic weekly suitability map for stripped dolphins around central group islands (Pico, Faial, São Jorge and Terceira), Azores.</p>
Figure S4.10. Dynamic weekly suitability map for Atlantic spotted dolphins around central group islands (Pico, Faial, São Jorge and Terceira), Azores.
<p>Dynamic weekly suitability map for Atlantic spotted dolphins around central group islands (Pico, Faial, São Jorge and Terceira), Azores.</p>
Figure S4.18. Dynamic weekly suitability map for fin whales around central group islands (Pico, Faial, São Jorge and Terceira), Azores.
<p>Dynamic weekly suitability map for fin whales around central group islands (Pico, Faial, São Jorge and Terceira), Azores.</p>
Figure 6 in First observation and seasonal dynamics of the new invasive planktonic copepod Oithona davisae Ferrari and Orsi, 1984 along the southern Black Sea (Anatolian Coast)
Figure 6. Major shipping lanes in the Black Sea http://www.marinevesseltraffic.com/2013/06/black-sea-marine-traffic.html. © Marine Vessel Traffic. Reproduced by permission of Marine Vessel Traffic. Permission to reuse must be obtained from the rightsholder.
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International Brain Laboratory public data
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