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83 results for “Reconfiguration”
Look-Up Table of A Prototype of Reconfigurable Intelligent Surface with Continuous Control of the Reflection Phase
<p>Tabulated values (look-up table) of the magnitude (dB) and phase (degres) of the unit-cell versus voltage, experimentally characterized, for a Reconfigurable Intelligent Surface prototype based on varactors described in :</p> <p>R. Fara, P. Ratajczak, D. -T. Phan-Huy, A. Ourir, M. Di Renzo and J. de Rosny, "A Prototype of Reconfigurable Intelligent Surface with Continuous Control of the Reflection Phase," in IEEE Wireless Communications, vol. 29, no. 1, pp. 70-77, February 2022, doi: 10.1109/MWC.007.00345.</p> <p>also accessible here: https://arxiv.org/ftp/arxiv/papers/2105/2105.11862.pdf</p>
Reconfiguration Time Measurements for Evolving Hardware
<p>The dataset contains the raw measurements of the time necessary to reconfigure Lattice iCE40 FPGAs.</p> <p>The main goal is to see the effect of two approaches of implementing the reconfiguration process in software for Evolvable Hardware. One approach is to use existing open-source software externally, the other is to integrate the functionality in the software for Evolvable Hardware.</p> <p>The conditions for the reconfiguration measurements were altered in four dimensions:</p> <ol> <li>The FPGA board <ul> <li>iCEstick <ul> <li>Lattice iCE40 HX1K FPGA</li> <li>Sample bitstream created by <a href="https://github.com/evolvablehardware/BitstreamEvolution">Bitstream Evolution Software</a></li> <li>No direct reconfiguration possible</li> </ul> </li> <li>iCE40 breakout board (ICE40HX8K-B-EVN) <ul> <li>Lattice iCE40 HX8K FPGA</li> <li>Sample bitstream created by CoBEA</li> </ul> </li> </ul> </li> <li>Write Target <ul> <li>Flash <ul> <li>Bitstream first written to an external EEPROM, then pulled by the FPGA from the EEPROM</li> </ul> </li> <li>Direct <ul> <li>Bitstream written directly to the FPGA</li> </ul> </li> </ul> </li> <li>Reconfiguration approach <ul> <li>Icestorm <ul> <li>Use external tools from Project Icestorm</li> </ul> </li> <li>CoBEA <ul> <li>Use integrated function of CoBEA reconfiguration module</li> </ul> </li> </ul> </li> <li>Bitstream size <ul> <li>Full <ul> <li>No size reduction</li> </ul> </li> <li>Compact <ul> <li>Size reduced as much as allowed by write approach <ul> <li>Icestorm: skip BRAM</li> <li>CoBEA: skip BRAM, skip comment, full compaction (level 4)</li> </ul> </li> </ul> </li> </ul> </li> </ol> <p> </p> <p>This upload contains three groups of files:</p> <ul> <li>2 bitstreams <ul> <li>One for each used FPGA board</li> </ul> </li> <li>12 measurements <ul> <li>Comma-separated values</li> <li>File name contains the contiditions of the measurement</li> <li>Only 12 out of 16 possible combinations of conditions as "iCEstick" cannot be combined with "Direct"</li> </ul> </li> <li>1 aggregated statistic <ul> <li>Comma-separated values</li> <li>Minimum, mean, maximum, mean-minimum, maximum-mean for every measurement</li> </ul> </li> </ul>
Dynamic reconfiguration of macaque brain networks during natural vision
<p>Raw data acquired under awake imaging conditions in the macaque monkey during free-viewing on natural scenes. The movie presented is also shared which is based on 30 sec 0N and OFF periods. Time-series echo planar imaging (EPI) data for each subject (AL, DP, FL and VL). Data is named based on the subject.session.run. The format structure is on NIFTI. Anatomical files are also named according to the same nomenclature. EPI mask are also available for each in-session subject. </p>
Dataset for "Reconfigurable Magnonic Crystals Based on Imprinted Magnetization Textures in Hard and Soft Dipolar-Coupled Bilayers"
<p>The dataset consist of the data of the numerical simulations used to prepare the figures for the manuscript: </p><p>Krzysztof Szulc, Silvia Tacchi, Aurelio Hierro-Rodríguez, Javier Díaz, Paweł Gruszecki, Piotr Graczyk, Carlos Quirós, Daniel Markó, José Ignacio Martín, María Vélez, David S. Schmool, Giovanni Carlotti, Maciej Krawczyk, and Luis Manuel Álvarez-Prado. <i>Reconfigurable Magnonic Crystals Based on Imprinted Magnetization Textures in Hard and Soft Dipolar-Coupled Bilayers</i>. ACS Nano <strong>2022</strong> <i>16</i> (9), 14168-14177.</p><p>Please read README.txt file to see the description of the data in the files.</p>
Received power for Reconfigurable Intelligent Surface use case
<p>Received power in the sampled analyzed area (shown in file area.png) in a scenario with single room with a short wall, and signal transmitter behind this wall. Output was generated with usage of the MATLAB raytracing tool. </p> <p>Analyzed area was sampled in both dimensions, creating 99 points in x-axis (values between 3 meters to 7.9 meters with 5 cm step), and 89 points in y-axis (values between 2.2 meters to 6.6 meters with 5 cm step). Reconfigurable Intelligent Surface was placed with 9 configurations of angle (angle between RIS surface and wall) from -20 to 20 degrees with 5 degree step. This setup created 9 files (for each angle) and inside file there is received power for each analyzed area point (99x89).</p> <p> </p> <p>The work has been funded by the National Science Centre in Poland within the project (no. 2021/43/B/ST7/01365) of the OPUS programme.</p>
iCE40 Bitstream Size Reduction - Bitstreams and Reconfiguration Time Measurements
<p>The HDF5 file contains data from an experiment concerning bitstream size reduction for Lattice iCE40 FPGAs.</p> <p>Five projects were synthesized with two different toolchains and afterwards compacted and compressed. Two compaction levels were applied to each of the ten original bistreams, resulting in a total of 30 bitstreams. The ten original bitstreams were also compressed with two different compression tools, resulting in 20 compressed versions.</p> <p>The reconfiguration time for each of the 30 bitstreams was measured 10.000 times.</p> <p>Toolchains:</p> <ul> <li>Lattice iCEcube2</li> <li>Open-source toolchain (Yosys, nextpnr, Project IceStorm)</li> </ul> <p>Projects:</p> <ul> <li>blinky: A simple example design that is included in the open-source toolchain.</li> <li>ehw: An evolved design.</li> <li>attosoc: A minimal RISC-V system on a chip, that is used for tests in the open-source toolchain.</li> <li>updater: A design that receives a new configuration, decrypts it (AES) and writes it to flash.</li> <li>picosoc: RISC-V system on a chip</li> </ul> <p>Compaction levels:</p> <ul> <li>original: Uncompacted bitstream</li> <li>builtin: Compacted with two methods also available in iCEcube2</li> <li>compact: Compacted with all five methods</li> </ul> <p>Compression tools:</p> <ul> <li>icecompr: Included in Project IceStorm</li> <li>gzip: Version 1.9, compression level --best</li> </ul> <p> </p> <p>File structure:</p> <p>The data is organzied hierarchical. It is first split between bitstreams, measurements and compressed versions. Bitstreams and measurements then are divided by toolchain, then by project and finally by compaction level. The compressed versions are divided by toolchain, then by project and finally by compression tool.</p>
REFLECTION CHARACTERISTICS OF RECONFIGURABLE INTELLIGENT SURFACES
<p>This dataset consists of 2 CSV files containing measurement results of the RIS reflectivity characteristics and 1 JSON file.</p> <p>The file <strong>24_04_ch_ka_3D_5_5Ghz_1_5m.csv</strong> consists of 5 columns of data. The first column contains the elevation angle, the second column contains the azimuth angle. The third column provides the number of the selected pattern – descriptions of the used patterns can be found in the file <strong>RIS_patterns_description.json</strong>. The fourth column contains the frequency at which the measurement was conducted, in Hertz.The fifth column contains the received power level measured at the receiving antenna in dBm.</p> <p> The structure of the file <strong>2D_2RIS_1_5m_16_06.csv</strong> is very similar but does not include the first column with the elevation angle.</p>
APPLICATION OF REDUCED CODEBOOK FOR RECONFIGURABLE INTELLIGENT SURFACES
<p>1 - "Best_worst_pattern.csv" - the file has four columns: index; pattern name; signal transmission frequency; received power. The file reflects the first chart in the article, which presents ordered results in ascending order from the "worst received power result" to the "best received power result."</p> <p>2 - "Scenariusz_A.csv" - the file contains the dataset used to plot the second chart, which shows the signal detection performed for Scenario A as described in the article. The file includes results for noise, Thicker vertical strips [11110000] and Right side on, each preceded by the measurement number, date, and time of the task performed.</p> <p>3 - "Scenariusz_B.csv" - the file contains the dataset used to plot the third chart, which shows the signal detection performed for Scenario B as described in the article. Similar to the previous file, each noise measurement and the next two patterns (the same as those in point 2, but labeled with numbers) are preceded by the date.</p>
Self-organized adaptive paths in multi-robot manufacturing: reconfigurable and pattern-independent fibre deployment — IROS 2019
<p>This video accompanies a conference paper prepared for IEEE IROS 2019.</p> <p>Using multi-robot systems for autonomous construction allows for parallelization and scalability. Swarm construction furthermore exploits robot interactions and collaboration, such that the robot swarm collectively constructs artifacts beyond what a single comparable robot could achieve. Here we present an alternative concept of swarm construction that is distinct because it uses continuous building material. Our approach is unique in its use of braiding techniques for construction. We deploy fibres that potentially allow for structures that are not possible with building blocks. To achieve maximal scalability we restrict ourselves to a decentralized approach. The main challenges are the local coordination of the robot teams, self-organized task allocation, and the dynamic reconfiguration of the braiding scheme at runtime. We successfully validate our approach in multi-robot experiments that show both braiding and branching of the braid. In addition, we show options for implementing an open system—that is robots can join and leave the braiding process on the fly.</p>
Robot view — Supplementary dataset of experiment videos, IROS 2019 — Self-organized adaptive paths in multi-robot manufacturing: reconfigurable and pattern-independent fibre deployment
<p>This is a supplementary dataset of experiment videos of self-organized multi-robot fibre deployment. Each video is true speed and shows the full respective experiment. These videos show the <strong>robot view</strong> of each experiment.</p> <p><em>For a 2-minute summary video of these experiments, refer to:</em></p> <pre>https://doi.org/10.5281/zenodo.3357187</pre> <p>This supplementary dataset accompanies a conference paper prepared for IEEE IROS 2019.</p> <p>Using multi-robot systems for autonomous construction allows for parallelization and scalability. Swarm construction furthermore exploits robot interactions and collaboration, such that the robot swarm collectively constructs artifacts beyond what a single comparable robot could achieve. Here we present an alternative concept of swarm construction that is distinct because it uses continuous building material. Our approach is unique in its use of braiding techniques for construction. We deploy fibres that potentially allow for structures that are not possible with building blocks. To achieve maximal scalability we restrict ourselves to a decentralized approach. The main challenges are the local coordination of the robot teams, self-organized task allocation, and the dynamic reconfiguration of the braiding scheme at runtime. We successfully validate our approach in multi-robot experiments that show both braiding and branching of the braid. In addition, we show options for implementing an open system—that is robots can join and leave the braiding process on the fly.</p>
Fibre view — Supplementary dataset of experiment videos, IROS 2019 — Self-organized adaptive paths in multi-robot manufacturing: reconfigurable and pattern-independent fibre deployment
<p>This is a supplementary dataset of experiment videos of self-organized multi-robot fibre deployment. Each video is true speed and shows the full respective experiment. These videos show the <strong>fibre view</strong> of each experiment.</p> <p><em>For a 2-minute summary video of these experiments, refer to:</em></p> <pre>https://doi.org/10.5281/zenodo.3357187</pre> <p>This supplementary dataset accompanies a conference paper prepared for IEEE IROS 2019.</p> <p>Using multi-robot systems for autonomous construction allows for parallelization and scalability. Swarm construction furthermore exploits robot interactions and collaboration, such that the robot swarm collectively constructs artifacts beyond what a single comparable robot could achieve. Here we present an alternative concept of swarm construction that is distinct because it uses continuous building material. Our approach is unique in its use of braiding techniques for construction. We deploy fibres that potentially allow for structures that are not possible with building blocks. To achieve maximal scalability we restrict ourselves to a decentralized approach. The main challenges are the local coordination of the robot teams, self-organized task allocation, and the dynamic reconfiguration of the braiding scheme at runtime. We successfully validate our approach in multi-robot experiments that show both braiding and branching of the braid. In addition, we show options for implementing an open system—that is robots can join and leave the braiding process on the fly.</p>
FVLLMONTI Application examples: Single reconfigurable VNWFET TCAD simulation and Reference logic cell DTCO flow
<p>This data set presents two application examples collecting and highlighting some of the key components to the TCAD, compact modelling and DTCO approaches carried out as part of the FVLLMONTI project in relation to Deliverable D3.2.</p> <p>First we present an example that demonstrates the functionality of the U-shaped reconfigurable transistor, switching the device behaviour between NMOS and PMOS using the Program Gate and giving the transistor characteristics of those devices.</p> <p>Secondly, this data set gives an introduction into the FVLLMONTI DTCO approach. The provided simulation project shows a reference DTCO flow from layout to library characteristics for previously delivered physical logic cell designs. The DTCO flow provides insight into logic cell parasitics, netlist for 3rd party SPICE analysis, and KPI determination and characterization.</p> <p>Both simulation projects can be seen as template for similar setups employed to overcome the challenges and answer the detailed questions faced in investigating a newly developed semiconductor technology such as the FVLLMONTI stack.</p>
Open data source for "Optically reconfigurable quasi-phase-matching in silicon nitride microresonators"
<p>The folder includes includes the raw data as well as codes that were used for generation of all Figures in the paper "Optically reconfigurable quasi-phase-matching in silicon nitride microresonators".</p>
On-demand entanglement of molecules in a reconfigurable optical tweezer array
<div> <div> <div> <div> <div> <div> <p>Entanglement is crucial to many quantum applications including quantum information processing, quantum simulation, and quantum-enhanced sens- ing. Because of their rich internal structure and interactions, molecules have been proposed as a promising platform for quantum science. Determinis- tic entanglement of individually controlled molecules has nevertheless been a long-standing experimental challenge. Here we demonstrate on-demand en- tanglement of individually prepared molecules. We deterministically create Bell pairs of molecules by using the electric dipolar interaction between polar molecules prepared using a reconfigurable array of optical tweezer traps. Our results demonstrate the key building blocks needed for quantum applications and may advance quantum-enhanced fundamental physics tests using trapped molecules.</p> </div> </div> </div> </div> </div> </div>
On-demand entanglement of molecules in a reconfigurable optical tweezer array
Open the record for dataset details and reuse information.
Network services after reconfiguration
<p>Data before and after reconfiguration of network services using the ETSI standard workflow</p>
Data from: Reconfiguration of functional brain networks and metabolic cost converge during task performance
<p>The ability to solve cognitive tasks depends upon adaptive changes in the organization of whole-brain functional networks. However, the link between task-induced network reconfigurations and their underlying energy demands is poorly understood. We address this by multimodal network analyses integrating functional and molecular neuroimaging acquired concurrently during a complex cognitive task. Task engagement elicited a marked increase in the association between glucose consumption and functional brain network reorganization. This convergence between metabolic and neural processes was specific to feedforward connections linking the visual and dorsal attention networks, in accordance with task requirements of visuo-spatial reasoning. Further increases in cognitive load above initial task engagement did not affect the relationship between metabolism and network reorganization but only modulated existing interactions. Our findings show how the upregulation of key computational mechanisms to support cognitive performance unveils the complex, interdependent changes in neural metabolism and neuro-vascular responses.</p>
Reconfiguring motor circuits for a joint manual and BCI task
<p>SQL database containing all models and analysis results for listed publication. Results and figures from paper can be reproduced by using the code at https://github.com/benlansdell/dualbci</p>
Reciprocal expression of MADS-box genes and DNA methylation reconfiguration initiate bisexual cones in spruce
<p>The naturally occurring bisexual cone of gymnosperms is considered to have been a potential intermediate stage in the origin of flowers, but the mechanisms governing bisexual cone formation remain largely elusive. Here, we employed transcriptomic and DNA methylomic analyses, together with hormone measurement, to investigate the molecular mechanisms underlying bisexual cone development in a conifer species <em>Picea crassifolia</em>. Our study reveals a "bisexual" expression profile in bisexual cones, especially in expression patterns of B-, C-class and <em>LEAFY</em> genes, supporting the out of male model. <em>GGM7</em> could be essential for initiating bisexual cones. DNA methylation reconfiguration in bisexual cones affects the expression of genes crucial for cone development, including <em>PcDAL12</em>, <em>PcDAL10</em>, <em>PcNEEDLY</em> and <em>PcHDG5</em>. Auxin likely plays an important role in the development of female structures of bisexual cones. This study unveils the potential mechanisms responsible for bisexual cone formation in conifers and may shed light on the development of bisexuality.</p>
Dataset for "Reconfigurable spin-wave platform based on interplay between nanodots and waveguide in hybrid magnonic crystal"
<p>The dataset consist of the data used to prepare the figures for the manuscript: </p> <p>Krzysztof Szulc, Mateusz Zelent, Maciej Krawczyk<br><em>Reconfigurable spin-wave platform based on interplay between nanodots and waveguide in hybrid magnonic crystal.</em></p> <p>together with animated version of two figures: Figure 4 and Figure S1.</p> <p>Please read README.txt file to see the description of the data in the files.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.