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214 results for “Vector fields”
VELOCITY VECTOR FIELDS, MEASURED AT THE OUTFLOW FROM TWO HINGE MODELS OF A BILEAFLET MECHANICAL HEART VALVE, USING 2-COMPONENT PARTICLE IMAGE VELOCIMETRY TECHNIQUE
<p>VELOCITY VECTOR FIELDS, MEASURED AT THE OUTFLOW FROM TWO HINGE MODELS OF A BILEAFLET MECHANICAL HEART VALVE, USING 2-COMPONENT PARTICLE IMAGE VELOCIMETRY TECHNIQUE</p>
Vector Field Histogram (VFH) video results for vineyard navigation and collision avoidance
<p><strong>Video Results for PhD Thesis</strong>: This video demonstrates the implementation of Vector Field Histogram (VFH) navigation for collision avoidance within crop rows. The simulation is conducted in Gazebo, utilizing a Husky robot to showcase efficient path planning and obstacle avoidance in an agricultural setting.</p>
Vector Force Fields (VFF) Video Results
<p>Video results for PhD Thesis of Vector Force Fields (VFF) for collision avoidance and navigation in vineard simulation.<br><br><span><a href="https://zenodo.org/uploads/14116726" target="_blank" rel="noopener noreferrer">VFFLargeGap.mp4</a></span><span>: VFF algorithm for a relative bigger gap then the following results.</span></p> <div><a href="https://zenodo.org/api/records/14116726/draft/files/VFFMediumGap.mp4/content" target="_blank" rel="noopener noreferrer">VFFMediumGap.mp4</a>: <span>VFF algorithm for a medium gap then the following results.</span></div> <div> <div> </div> <div><a href="https://zenodo.org/api/records/14116726/draft/files/VFFMediumGap.mp4/content" target="_blank" rel="noopener noreferrer">VFFMediumGap.mp4</a>: <span>VFF algorithm for a relative smaller gap then the following results.</span></div> </div>
Application of inverse theory for high spatial resolution reconstructions of thermospheric vector wind fields from Doppler shifts measured by a ground-based network of all-sky Fabry-Perot interferometers
<p>Several types of all-sky viewing Fabry-Perot Interferometers (FPI) have been developed since the 1990s for ground-based remote sensing of thermospheric winds. The Scanning Doppler Imager (SDI) is one such instrument, which provides temporally simultaneous line-of-sight observations from hundreds of independent look directions per instrument exposure. A geographically distributed network of such instruments increases spatial coverage and, at many locations, also provides overlapping observations along multiple independent lines-of-sight. Together, these characteristics significantly increase the density and fidelity that is possible for reconstructed thermospheric vector wind fields, compared to a traditional narrow-field FPI, but at the cost of complexity and difficulty.<br><br></p> <p>Presently, we describe an application of inverse theory to reconstruct three-component vector thermospheric neutral wind fields using data from multiple SDI instruments. The salient features of the method used here are the ability to reconstruct three-component winds on a dense grid that is sampled regularly in latitude, longitude, and time, without assuming any a-priori underlying structure of the winds. This requires solving an inverse problem that does not in general yield a unique solution unless additional constraints are enforced. We describe this step, also known also as regularization, along with the strategy used to maximize the spatial resolution of the derived wind fields by automatically determining the minimum level of regularization that can produce stable inversions. We present example results obtained from applying this technique to one night of data from a network of SDIs in Alaska, and discuss the implications of these results for current understanding of thermospheric dynamics.</p>
Precalculated Results of Throughput Analysis in "Comprehensive Benchmarking of High-Performance Vector Field Representations"
<p>This repository contains results calculated by our throughput analysis. These results should be exactly and deterministically reproducible using the aforementioned software, but precomputed results are provided for the benefit of the reader, in case certain software is not available. Included in this artifact are the assembly files generated by the compilers, the throughput analysis of these aforementioned assembly files, and a collection of tables which summarize the results.</p> <p>These results were generated using <em>clang</em> version 14.0.6, <em>gcc</em> version 11.2.0, and <em>llvm-mca</em> version 14.0.6.</p>
DCP-MTL: Vectorization of Agricultural Cultivation Field Parcels via Boundary-Parcel Multi-Task Learning Network in Ultra-High-Resolution Remote Sensing Images
<p><span>This paper introduces the first UHR UAV dataset specifically for CFP, designed to evaluate the performance of the proposed model in identifying these parcels. </span><span>The dataset offers ultra-high spatial resolution, various field parcel types, and broad geographic coverage. </span><span>Figure 8 </span><span>shows </span><span>the spatial distribution of the study data. Jilin Province is the primary region for training and evaluating the model, while Hebei, Henan, Anhui, Zhejiang, and Hainan are auxiliary regions for testing the model's transferability. </span></p>
Application of inverse theory for high spatial resolution reconstructions of thermospheric vector wind fields from Doppler shifts measured by a ground-based network of all-sky Fabry-Perot interferometers
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Development and field evaluation of a motion sensor activated suction trap to study vector-host interactions
<p>1. Researchers elucidating vectors of zoonotic diseases encounter problems with inefficient surveillance techniques leading to underestimation of the importance of some species, and the overestimation of the importance of others. Carbon dioxide-baited light traps are the most widely used traps for sampling vector groups. However aspirating directly from the hosts is the most accurate method to incriminate vectors.</p> <p>2. A novel vector trapping system was developed, consisting of a suction trap, activated by a motion sensor, and controlled by a microcontroller, which activates automatically when host animals approach. The prototype was tested in two field experiments with ungulates and biting midges (Diptera: Ceratopogonidae) at a preserve in Florida. We measured the biting midge community collected at traps near and far from hosts and compared communities using diversity metrics and abundance curves.</p> <p>3. Traps activated in the presence of host animals with 94% accuracy. Diversity and richness of <i>Culicoides</i> species differed between sensor and control traps with 11 species captured by control traps and 7 species by sensor traps. Vector species were captured in significantly greater numbers in sensor traps, while more non-vector species were caught in control traps.</p> <p>4. Results confirm that vector species can be underrepresented in light trap collections, likely due to their tight associations with vertebrate hosts, a finding that should be taken into consideration when incriminating arbovirus vectors. Our novel trap system was a first attempt at solving the issue of collecting vector species from non-tame animals, effectively aspirating questing midges. Simple modifications of the system could be made to target other vector-host systems.</p>
PIV vector fields from: Boundary layer hydrodynamics of patchy biofilms
<p>This dataset contains the instantaneous velocity vector fields from PIV data taken over large acrylic plates fouled with diatomaceous biofilm of varying patchiness. </p> <p>See associated article, Boundary layer hydrodynamics of patchy biofilms, for methods description.</p> <p>Each zip folder contains data for one of the 4 non-uniform biofilms examined, PB-1 (patchy biofilm 1); PB-2 (patchy biofilm 2); SB-1 (sparse biofilm 1); SB-2 (sparse biofilm 2). For each biofilm, the corresponding folder contains 4000 statistically independent instantaneous velocity vector fields. Each vector field is saved in a .mat file, and the workspace variable that contains the data is called ‘vecfield’. </p> <p>Size calibration and water temperature are provided in the spreadsheet ‘experiment_metadata.xlsx’</p> <p> </p> <p>Column 1: X (streamwise distance [pixels]) </p> <p>Column 2: Y (wall-normal distance from bottom of frame [pixels])</p> <p>Column 3: U (streamwise velocity vector [pixels / 250 microseconds]) </p> <p>Column 4: V (vertical velocity vector [pixels / 250 microseconds]) </p> <p>Column 5: CHC (number of tracked particles. A value < 1 gives the location of the biofilm, which was masked out)</p> <p> </p>
Field Evaluations of Innovative Tools for Vector-borne Disease Control in Conflict-affected Communities
ClinicalTrials.gov study NCT06179732. IPD Sharing: NO. Countries: 1. Publications: 1.
Development and field evaluation of a motion sensor activated suction trap to study vector-host interactions
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Data from: Host social behavior decreases exposure to vector-borne disease: a field experiment in a "hotspot" of West Nile virus transmission
Animals can decrease their individual risk of predation by forming groups. The encounter-dilution hypothesis extends the potential benefits of gregariousness to biting insects and vector-borne disease by predicting that the per capita number of insect bites should decrease within larger host groups. Although vector-borne diseases are common and can exert strong selective pressures on hosts, there have been few tests of the encounter-dilution effect in natural systems. We conducted an experimental test of the encounter-dilution hypothesis using the American robin (Turdus migratorius), a common host species for the West Nile virus (WNV), a mosquito-borne pathogen. By using sentinel hosts (house sparrows, Passer domesticus) caged in naturally occurring communal roosts in the suburbs of Chicago, we assessed sentinel host risk of WNV exposure inside and outside of roosts. We also estimated per capita host exposure to infected vectors inside roosts and outside of roosts. Sentinel birds caged inside roosts seroconverted to WNV more slowly than those outside of roosts, suggesting that social groups decrease per capita exposure to infected mosquitoes. These results therefore support the encounter-dilution hypothesis in a vector-borne disease system. Our results suggest that disease-related selective pressures on sociality may depend on the mode of disease transmission.
Data from: Hodge decomposition of wall shear stress vector fields characterizing biological flows
A discrete boundary-sensitive Hodge decomposition is proposed as a central tool for the analysis of wall shear stress (WSS) vector fields in aortic blood flows. The method is based on novel results for the smooth and discrete Hodge-Morrey-Friedrichs decomposition on manifolds with boundary and subdivides the WSS vector field into five components: gradient (curl-free), co-gradient (divergence-free), and three harmonic fields induced from the boundary, which are called the center, Neumann and Dirichlet fields. First, an analysis of WSS in several simulated simplified phantom geometries (duct and idealized aorta) was performed in order to understand the impact of the five components. It was shown that the decomposition is able to distinguish harmonic blood flow arising from the inlet from harmonic circulations induced by the interior topology of the geometry. Finally, a comparative analysis of 11 patients with coarctation of the aorta (CoA) before and after treatment as well as 10 controls patient was done. The study shows a significant difference between the CoA patients and the healthy controls before and after the treatment. This means a global difference between aortic shapes of diseased and healthy subjects, thus leading to a new type of WSS-based analysis and classification of pathological and physiological blood flow.
Text-fig. 9. Alternating field demagnetization - sample No. 230, Section No. 2 (reversed polarity). Top left - DRM vector directions during demagnetization process, white circles - projection of vector directions to the upper hemisphere; top right - Zijderveld diagram, black circles - projection of vector directions into xy plane, white circles - projection of vector directions into xz plane; bottom left - normalised magnetization intensity values during the alternation field demagnetization. in New Updated Results Of Paleomagnetic Dating Of Cave Deposits Exposed In Za Hájovnou Cave, Javoříčko Karst
Text-fig. 9. Alternating field demagnetization - sample No. 230, Section No. 2 (reversed polarity). Top left - DRM vector directions during demagnetization process, white circles - projection of vector directions to the upper hemisphere; top right - Zijderveld diagram, black circles - projection of vector directions into xy plane, white circles - projection of vector directions into xz plane; bottom left - normalised magnetization intensity values during the alternation field demagnetization.
Data from: Host social behavior decreases exposure to vector-borne disease: a field experiment in a “hotspot” of West Nile virus transmission
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Data from: Hodge decomposition of wall shear stress vector fields characterizing biological flows
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DE 2 Vector Electric Field Instrument (VEFI) DC Electric Field X and Y components, Spacecraft, SC, coordinates, PT0.5S Data
The Dynamics Explorer 2, DE 2, Vector Electric Field Instrument, VEFI, used flight-proven double-probe techniques with 20-m baselines to obtain measurements of DC electric fields. This electric field investigation had the following objectives:* 1) Obtain accurate and comprehensive triaxial DC electric field measurements at ionospheric altitudes in order to refine the basic spatial patterns* 2) Define the large-scale time history of these patterns* 3) Study the small-scale temporal and spatial variations within the overall patterns* 4) Study the degree to which and in what region the electric field projects to the equatorial plane* 5) Obtain measurements of extreme low frequency, ELF, and lower frequency irregular structures* 6) Perform numerous correlative studiesThe VEFI instrument consisted of six cylindrical elements 11 m long and 28 mm in diameter. Each antenna was insulated from the plasma except for the outer 2 m. The baseline, or distance between the midpoints of these 2-m active elements, was 20 m. The antennas were interlocked along the edges to prevent oscillation and to increase their rigidity against drag forces. The antenna pair perpendicular to the orbit plane did not deploy. The basic electronic system was very similar in concept to those used on IMP-8 and ISEE 1, but modified for a three-axis measurement on a nonspinning spacecraft. At the core of the system were the high-impedance 1.0E12 ohm preamplifiers whose outputs were accurately subtracted and digitized at 14-bit analog to digital, A/D, conversion for sensitivity to about 0.1 µV/m to maintain high resolution, for subsequent removal of the cross-product of the spacecraft velocity, Vsc, and magnetic field, B, vectors in data processing. This provided the basic DC measurement. Other circuitry was used to aid in interpreting the DC data and to measure rapid variations in the signals detected by the antennas. The planned DC electric field range was i±1 V/m, the planned resolution was 0.1 mV/m, and the variational electric field was measured from 4 Hz to 1024 Hz. The DC electric field was measured at 16 samples/s. The variational electric field was measured from 1 µV/m to 10 mV/m root mean square, RMS. Additional details are found in N.C. Maynard et al., Space Sci. Instrum., 5(4), 523, 1981.
DE 2 Vector Electric Field Instrument, VEFI, Magnetometer, MAG-B, Merged Magnetic and Electric Field Parameters, 62 ms Data
This Dynamics Explorer 2, DE 2, data set is a combination of the Vector Electric Field Instrument, VEFI, and Magnetometer-B, MAGB, high resolution data sets in spacecraft, SC, coordinates submitted to NSSDC. The following orbit-altitude, OA, parameters have been added to the data set:* 1) Model magnetic field, SC coordinates* 2) Satellite altitude* 3) Geographic latitude and longitude* 4) Magnetic local time* 5) Invariant latitudeThe VEFI data set is described in the file VEFIVOLDESC.SFD and the MAGB data set is described in the file MAGBVOLDESC.SFD, these files are portions of the Standard Format Data Unit, SFDU, metadata files submitted with the VEFI and MAGB data to NSSDC and are included in each volume of this data set. This data set consists of daily files from 1981-08-15, day of year 227, to 1983-02-16, day of year 47. Each file contains all the data available for a given day. During the merging of the data sets it was found that although VEFI and MAGB should cover the same time spans, they do not, due perhaps to the fact that the original MAGB high resolution data set was created on the DE Sigma-9 in Sigma-9 format by using the DE telemetry tapes, while the VEFI high resolution data set was created on the DE MicroVAX system using the DE telemetry data base on optical disk. In order to keep the largest amount of data possible, the merged data set includes all the available VEFI and MAGB data, for those times when VEFI data was available but MAGB was not, 6.54% of the time spanned by this data product, a fill value of 9999999. was given to the MAGB data. Likewise, for those times when MAGB data was available but VEFI was not, 6.87% of the time, the fill value was assigned to the VEFI data. Times for which both VEFI and MAGB data were fill values in the original data sets were not included in the merged data set. There were also times when certain OA parameters were fill values in the OA data base and they are therefore also fill values in this merged data set. The model magnetic field had fill values for 8.55% of the data. Statistics were not kept for the other OA parameters. Each daily file contains a record per measurement. The total number of records in each file varies depending on the amount of data available for a given day.The DE 2 spacecraft, which was the low-altitude mission component, complemented the high-altitude mission DE 1 spacecraft and was placed into an orbit with a perigee sufficiently low to permit measurements of neutral composition, temperature, and wind. The apogee was high enough to permit measurements above the interaction regions of suprathermal ions, and also plasma flow measurements at the feet of the magnetospheric field lines. The general form of the spacecraft was a short polygon 137 cm in diameter and 115 cm high. The triaxial antennas were 23 m tip-to-tip. One 6 m boom was provided for remote measurements. The spacecraft weight was 403 kg. Power was supplied by a solar cell array, which charged two 6 ampere-hour nickel-cadmium batteries. The spacecraft was three-axis stabilized with the yaw axis aligned toward the center of the Earth to within 1°. The spin axis was normal to the orbit plane within 1° with a spin rate of one revolution per orbit. A single-axis scan platform was included in order to mount the low-altitude plasma instrument (ID: 81-070B-08). The platform rotated about the spin axis. A pulse code modulation telemetry data system was used that operated in real time or in a tape recorder mode. Data were acquired on a science-problem-oriented basis, with closely coordinated operations of the various instruments, both satellites, and supportive experiments. Measurements were temporarily stored on tape recorders before transmission at an 8:1 playback-to-record ratio. Since commands were also stored in a command memory unit, spacecraft operations were not real time. Additional details can be found in R.A. Hoffman et al., Space Sci. Instrum., 5(4), 349, 1981. DE-2 reentered the atmosphere on February 19, 1983. A triaxial fluxgate magnetometer onboard DE 2, MAG-B, similar to one on board DE 1 (ID: 81-070A-01), was used to obtain the magnetic field data needed to study the magnetosphere-ionosphere-atmosphere coupling.The primary objectives of this investigation were to measure field aligned currents in the auroral oval and over the polar cap at two different altitudes using the two spacecraft, and to correlate these measurements with observations of electric fields, plasma waves, suprathermal particles, thermal particles, and auroral images obtained from investigation (ID: 81-070A-03). The magnetometer had digital compensation of the ambient field in 8000 nT increments. The instrument incorporated its own 12-bit analog-to-digital, A/D, converter, a 4-bit digital compensation register for each axis, and a system control that generated a 48-bit data word consisting of a 16-bit representation of the field measured along each of three magnetometer axes. Track and hold
DE 2 Vector Electric Field Instrument (VEFI) AC Electric Field Spectrometers, A, B, and C, all frequency channels, Spacecraft, SC, coordinates, PT0.5S Data
The Dynamics Explorer 2, DE 2, Vector Electric Field Instrument, VEFI, used flight-proven double-probe techniques with 20-m baselines to obtain measurements of DC electric fields. This electric field investigation had the following objectives:* 1) Obtain accurate and comprehensive triaxial DC electric field measurements at ionospheric altitudes in order to refine the basic spatial patterns* 2) Define the large-scale time history of these patterns* 3) Study the small-scale temporal and spatial variations within the overall patterns* 4) Study the degree to which and in what region the electric field projects to the equatorial plane* 5) Obtain measurements of extreme low frequency, ELF, and lower frequency irregular structures* 6) Perform numerous correlative studiesThe VEFI instrument consisted of six cylindrical elements 11 m long and 28 mm in diameter. Each antenna was insulated from the plasma except for the outer 2 m. The baseline, or distance between the midpoints of these 2-m active elements, was 20 m. The antennas were interlocked along the edges to prevent oscillation and to increase their rigidity against drag forces. The antenna pair perpendicular to the orbit plane did not deploy. The basic electronic system was very similar in concept to those used on IMP-8 and ISEE 1, but modified for a three-axis measurement on a nonspinning spacecraft. At the core of the system were the high-impedance 1.0E12 ohm preamplifiers whose outputs were accurately subtracted and digitized at 14-bit analog to digital, A/D, conversion for sensitivity to about 0.1 µV/m to maintain high resolution, for subsequent removal of the cross-product of the spacecraft velocity, Vsc, and magnetic field, B, vectors in data processing. This provided the basic DC measurement. Other circuitry was used to aid in interpreting the DC data and to measure rapid variations in the signals detected by the antennas. The planned DC electric field range was i±1 V/m, the planned resolution was 0.1 mV/m, and the variational electric field was measured from 4 Hz to 1024 Hz. The DC electric field was measured at 16 samples/s. The variational electric field was measured from 1 µV/m to 10 mV/m root mean square, RMS. Additional details are found in N.C. Maynard et al., Space Sci. Instrum., 5(4), 523, 1981.
Ottawa (OTT) Ground-based Vector Magnetic Field (L2) 1.0 s Data
Ottawa, ON, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (OTT), Station Location: (GEO Latitude 45.4, Longitude 284.4), NRCan Network
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International Brain Laboratory public data
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OpenNeuro
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