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83 results for “Reconfiguration”
REIP: a Reconfigurable Environmental Intelligence Platform and Software Framework for Fast Sensor Network Prototyping - use case dataset
<p>Sensor networks have dynamically expanded our ability to monitor and study the world. Their presence and need keep increasing, and new hardware configurations expand the range of physical stimuli that can be accurately recorded. Sensors are also no longer simply recording the data, they process it and transform into something useful before uploading to the cloud. However, building sensor networks is costly and very time consuming. It is difficult to build upon other people’s work and there are only a few open-source solutions for integrating different devices and sensing modalities. We introduce REIP, a Reconfigurable Environmental Intelligence Platform for fast sensor network prototyping. REIP’s first and most central tool, implemented in this work, is an open-source software framework, an SDK, with a flexible modular API for data collection and analysis using multiple sensing modalities. REIP is developed with the aim of being user-friendly, device-agnostic, and easily extensible, allowing for fast prototyping of heterogeneous sensor networks. Furthermore, our software framework is implemented in Python to reduce the entrance barrier for future contributions. We show the potential and versatility of REIP in real world applications, along with performance studies and benchmark REIP SDK against similar systems.</p> <p>This dataset was created for the case study in Section 5 of the paper.</p>
Recent reconfiguration of an ancient developmental gene regulatory network in Heliocidaris Sea Urchins
<p>Changes in developmental gene regulatory networks (dGRNs) underlie much of the diversity of life, but the evolutionary mechanisms that operate on interactions with these networks remain poorly understood. Closely related species with extreme phenotypic divergence provide a valuable window into the genetic and molecular basis for changes in dGRNs and their relationship to adaptive changes in organismal traits. Here we analyze genomes, epigenomes, and transcriptomes during early development in two sea urchin species in the genus <em>Heliocidaris </em>that exhibit highly divergent life histories and in an outgroup species. Signatures of positive selection and changes in chromatin status within putative gene regulatory elements are both enriched on the branch leading to the derived life history, and particularly so near core dGRN genes; in contrast, positive selection within protein-coding regions have at most a modest enrichment in branch and function. Single-cell transcriptomes reveal a dramatic delay in cell fate specification in the derived state, which also has far fewer open chromatin regions, especially near dGRN genes with conserved roles in cell fate specification. Experimentally perturbing the function of three key transcription factors reveals profound evolutionary changes in the earliest events that pattern the embryo, disrupting regulatory interactions previously conserved for ~225 million years. Together, these results demonstrate that natural selection can rapidly reshape developmental gene expression on a broad scale when selective regimes abruptly change and that even highly conserved dGRNs and patterning mechanisms in the early embryo remain evolvable under appropriate ecological circumstances.</p>
Response of protons to Mercury's magnetotail reconfigurations
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Federated Learning Games for Reconfigurable Intelligent Surfaces via Causal Representations: SW and Data
<p>This upload contains the main simulation code and related datasets used in the conference paper entitled <a href="https://ieeexplore.ieee.org/document/10437657" target="_blank" rel="nofollow noreferrer noopener">Federated Learning Games for Reconfigurable Intelligent Surfaces via Causal Representations</a>, which was presented at <a href="https://globecom2023.ieee-globecom.org/" target="_blank" rel="nofollow noreferrer noopener">IEEE GLOBECOM 2023</a>.</p>
Dataset of Reconfigurable Metamaterial Processing Units that Solve Arbitrary Linear Calculus Equations
<p>Dataset of <em>Reconfigurable Metamaterial Processing Units that Solve Arbitrary Linear Calculus Equations</em></p>
A Reconfiguration Algorithm for Power-Aware Parallel Applications
<p><strong><em>Abstract: </em></strong><em>In current computing systems, many applications require guarantees on their maximum power consumption to not exceed the available power budget. On the other hand, for some applications, it could be possible to decrease their performance, yet maintaining an acceptable level, in order to reduce their power consumption. To provide such guarantees, a possible solution consists in changing the number of cores assigned to the application, their clock frequency and the placement of application threads over the cores. However, power consumption and performance have different trends depending on the application considered and on its input. Finding a configuration of resources satisfying user requirements is in the general case a challenging task. In this paper we propose Nornir, an algorithm to automatically derive, without relying on historical data about previous executions, performance and power consumption models of an application in different configurations. By using these models, we are able to select a close to optimal configuration for the given user requirement, either performance or power consumption. The configuration of the application will be changed on-the-fly throughout the execution to adapt to workload fluctuations, external interferences and/or application's phase changes. We validate the algorithm by simulating it over the applications of the PARSEC benchmark suite. Then, we implement our algorithm and we analyse its accuracy and overhead over some of these applications on a real execution environment. Eventually, we compare the quality of our proposal with that of the optimal algorithm and of some state of the art solutions.</em></p> <p>This dataset contains the raw data of the experiments and the scripts used to plot them.</p> <p> </p>
Data supporting publication: Environmental permittivity-asymmetric BIC metasurfaces with electrical reconfigurability
<p>This repository includes the data corresponding to the figures shown in the journal article entitled "Environmental permittivity-asymmetric BIC metasurfaces with electrical reconfigurability". </p>
Reconfigurations of cortical manifold structure during reward-based motor learning
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Reciprocal expression of MADS-box genes and DNA methylation reconfiguration initiate bisexual cones in spruce
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Reconfigurable non-Hermitian soliton combs using dissipative couplings and topological windings
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Generation of reconfigurable hypercubic graph states in 1-4 dimensions in a simple optical system
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Recent reconfiguration of an ancient developmental gene regulatory network in Heliocidaris Sea Urchins
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Data from: Reconfiguration of functional brain networks and metabolic cost converge during task performance
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Reconfiguring motor circuits for a joint manual and BCI task
<p>Labview experiment details for recordings supporting dual control brain-computer interface.</p>
Reconfiguring motor circuits for a joint manual and BCI task
<p>MEA recordings supporting dual control BCI</p>
Data and code for figures in "Nonreciprocal reconfigurable microwave optomechanical circuit"
<p>Data and code used to produce the figures in "Nonreciprocal reconfigurable microwave optomechanical circuit".</p> <p>The code is tested with Python 2.7.10, Matplotlib 2.0.0b4, Scipy 0.18.0, Numpy 1.12.0 and COMSOL multiphysics 5.2.</p>
Bitstream Compaction iCE40 - Bitstreams and Reconfiguration Time Measurements
<p>The HDF5 file contains data from an experiment concerning bitstream compaction for Lattice iCE40 FPGAs.</p> <p>Four projects were synthesized with two different toolchains and afterwards compacted in two different levels, resulting in 24 bitstreams. The creation of each bitstream was repeated 100 times to guard against variations caused by errors in the toolchains or by the compaction. No such errors occured and the configuration is the same for every repetition.</p> <p>The reconfiguration time for each of the 24 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>empty: Completely empty project, that uses no FPGA resources.</li> <li>b12: A project from the ITC’99 benchmark suite.</li> <li>aes: A simple AES-128 encryption module.</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>File structure:</p> <p>The data is organzied hierarchical. It is first split between bitstreams and measurements, then by toolchain, then by project and finally by compaction level.</p>
Data for Manuscript "3D Optofluidic Control Using Reconfigurable Thermal Barriers"
<p>Included in this compressed Data file are all trajectories required to recreated the experimental part of all figure plots:</p> <p>Fig. 2A,C,E</p> <p>Fig. 3A,C,E,G</p> <p>Fig. 4A-E</p> <p>Fig 5B,D</p> <p>The data is in the form of trajectories of the tracked particles over time. X, Y, Z coordinate data are given in addition to the time trace T.</p> <p>All other necessary meta data are included in the files. </p>
Bio-reconfigurable Electronic Platform for Multiplex Detection of Viral Respiratory Pathogens
ClinicalTrials.gov study NCT06702540. IPD Sharing: NO. Countries: 1. Publications: 4.
Unconsciousness reconfigures modular brain network dynamics
<p>Time-dependent adjacency matrices per state of consciousness</p>
ScienceDex guides
Understand access before you commit
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.