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209 results for “cylinders”
cedar cylinder basket (laser scanned)
Made with the Next Engine laser scanner Source: Objaverse 1.0 / Sketchfab
Cylinder reconstruction
<p>Comprehensive tree reconstruction based on cylinder fitting. A segmented point cloud received from terrestrial laser scanning is reconstructed one subsegment at a time as a collection of cylinders. Each cylinder is fitted in the least-squares sense to the point cloud data corresponding to a subsegment. The branching topology from the segmentation is transferred and stored in the resulting cylinder model which we call a quantitative structure model (QSM).</p> <p>For each segment the procedure begins from the segment base by selecting "layers" of neighboring points using the neighbor relation defined by the surface patches. These layers are appended to the current subsegment until a selected length/radius ratio is achieved. Geometrical analysis is used to find good initial values for the iterative least-squares cylinder fitting. If fitting does not converge, or point data is insufficient at some point, "gaps" can occur in the model. As a post-process some of the gaps are filled by analyzing the empty space between consecutive cylinders in the topology and also between child and parent cylinders.</p> <p>When a segment is completed heuristics are used to further tune the properties of the cylinders to prevent, e.g., large differences between the radii of consecutive cylinders.</p> <p>For details of the cylinder fitting process, see the group homepage or, e.g., the open access journal article "Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data" (http://www.mdpi.com/2072-4292/5/2/491).</p> <p>This animation was produced by the Inverse Problems research group in the Department of Mathematics at Tampere University of Technology (http://math.tut.fi/inversegroup).</p> <p>Animation created using Blender (http://www.blender.org).</p> <p>Music:<br> "Welcome to the Show" by Kevin MacLeod (http://incompetech.com)<br> Licensed under Creative Commons: By Attribution 3.0<br> http://creativecommons.org/licenses/by/3.0/</p> <p>Sound effects:<br> FreeSound.org (https://www.freesound.org/)<br> "SFX DTMF 01.wav" by Oddworld<br> "MonsterSearch.mp3" by goony124<br> "sf3-sfx-menu-validate.wav" by broumbroum<br> "tiza.mp3" by richymel<br> "Sweep FX" by Goup_1<br> "Gun scope zoom in" by satanicupsman<br> "Transition Whoosh 5a" by Speedenza<br> "SynthPing" by DigiSample<br> "error 2.aiff" by lluiset7<br> "sf3-sfx-menu-select.wav" by broumbroum<br> Licensed under Creative Commons: By Attribution 3.0<br> http://creativecommons.org/licenses/by/3.0/</p>
On the Piezomagnetism of Magnetoactive Elastomeric Cylinders in Uniform Magnetic Fields: Height Modulation in the Vicinity of an Operating Point by Time-Harmonic Fields
<p>This is the data set for all the figures in the paper with the title: "On the Piezomagnetism of Magnetoactive Elastomeric Cylinders in Uniform Magnetic Fields: Height Modulation in the Vicinity of an Operating Point by Time-Harmonic Fields" published in the Polymers journal (<a title="doi" href="https://doi.org/10.3390/polym16192706">doi:10.3390/polym16192706</a>).</p>
Cylinder seal rollout [NBC5993]
Modern impression of an Akkadian period shell [cylinder seal](https://skfb.ly/6JpYU) depicting a presentation scene. A seated god faces two gods with outstretched arms, male worshipper, tree, crescent and star in the sky and lizard and scorpion in the field. [Yale Peabody Museum of Natural History, Yale Babylonian Collection, Catalog No. [BC.008974](http://collections.peabody.yale.edu/search/Record/YPM-BC-008974) (Original Catalog No. NBC 5993)] 3D of seal and rollout featured in the exhibit *Ancient Mesopotamia Speaks* at the Yale Peabody Museum 6 April 2019 – 30 June 2020. Scanned and processed by Yale Institute for the Preservation of Cultural Heritage Digitization Lab Head Chelsea Alene Graham using Artec Space Spider and Artec Studio Professional in 2019. Geometry uploaded at 0.15 mm resolution. Source: Objaverse 1.0 / Sketchfab
53-10 Cylinder Seal
Source: Objaverse 1.0 / Sketchfab
Autologous Osteo-periosteal Cylinder Graft Transplantation for Hepple V Osteochondral Lesions of the Talus
ClinicalTrials.gov study NCT03347877. IPD Sharing: NO. Countries: 1. Publications: 2.
Experimental flows through an array of emerged or slightly submerged square cylinders over a rough bed
<p>The experimental dataset was collected in an 18 m long and1 m wide laboratory flume.<br> An urbanised floodplain is modelled. The bed is rough, modelled with dense artificial grass. An array of square cylinders, representing housemodels, was set on the rough bed. The cylinder immersion rate was varied: cylinders are emerged for three flow cases<br> H/k = 42%, 93% and 98% (H water depth and k obstacle height) and slightly submerged for H/k = 148%.<br> This dataset comprises water, velocities across the channel and between y/(L/2) = 5 to 7 (L = 14.3 cm) measured using an Acoustic Doppler Velocimetry with a side looking probe, and velocities in longitudinal-vertical planes measured using Particle Image Velocimetry.</p> <p>This data set is explained in detail the following article :<br> Oukacine, M., Proust, S., Larrarte, F. <em>et al.</em> Experimental flows through an array of emerged or slightly submerged square cylinders over a rough bed. <em>Sci Data</em> <strong>8, </strong>6 (2021). <a href="https://doi.org/10.1038/s41597-020-00791-w">https://doi.org/10.1038/s41597-020-00791-w</a></p>
Sensor data set, electromechanical cylinder at ZeMA testbed (2kHz)
<p><strong>General information on the data set</strong></p> <p>The data set was generated at the ZeMA testbed. A working cycle lasts 2.8s and consists of a forward stroke, a waiting time and a return stroke. The data set does not consist of the entire working cycles. Only one second of the return stroke of each working cycle is used.</p> <p> </p> <p><strong>Structure of the data</strong></p> <ul> <li>data saved in HDF5 file as a 3D-matrix</li> <li>one row represents one second of the return stroke of one working cycle (6292 rows: 6292 cycles)</li> <li>one column represents one datapoint of the cycle, that is resampled to 2 kHz (2000 columns)</li> <li>one page represent one sensor (11 pages: 11 sensors)</li> </ul> <p> </p> <p><strong>Allocation of the pages to the sensors</strong></p> <p>page 1: microphone<br> page 2: acceleration plain bearing<br> page 3: acceleration piston rod<br> page 4: acceleration ball bearing<br> page 5: axial force<br> page 6: pressure<br> page 7: velocity<br> page 8: active current<br> page 9: motor current phase 1<br> page 10: motor current phase 2<br> page 11: motor current phase 3</p> <p> </p> <p><strong>Remark</strong></p> <p>The datasets are not in SI units. For conversion, you can use the PDF documentation.</p> <p> </p> <p><strong>Further information</strong></p> <p>For an introduction and tutorial to this data, a set of Jupyter notebooks is available <a href="https://github.com/harislulic/ZeMA-machine-learning-tutorials">here</a>. These notebooks contain Python code and a documentation of example machine learning tasks and analysis of this data set. In the near future, these will be extended to also include uncertainties in the input data.</p>
Sensor data set of 3 electromechanical cylinder at ZeMA testbed (2kHz)
<p><strong>General information on the data set</strong></p> <p>The data set was generated at the ZeMA testbed. A working cycle lasts 2.8s and consists of a forward stroke, a waiting time and a return stroke. The data set does not consist of the entire working cycles. Only one second of the return stroke of each working cycle is used.</p> <p> </p> <p><strong>Structure of the data</strong></p> <ul> <li>data saved in three HDF5 file as a 3D-matrix, one file is for one axis</li> <li>one row represents one second of the return stroke of one working cycle<br> axis 3: 6292 cycles<br> axis 5: 6083 cycles<br> axis 7: 5732 cycles</li> <li>one column represents one datapoint of the cycle, that is resampled to 2 kHz (2000 columns)</li> <li>one page represent one sensor (11 pages: 11 sensors)</li> </ul> <p> </p> <p><strong>Allocation of the pages to the sensors</strong></p> <p>page 1: microphone<br> page 2: acceleration plain bearing<br> page 3: acceleration piston rod<br> page 4: acceleration ball bearing<br> page 5: axial force<br> page 6: pressure<br> page 7: velocity<br> page 8: active current<br> page 9: motor current phase 1<br> page 10: motor current phase 2<br> page 11: motor current phase 3</p> <p> </p> <p><strong>Remark</strong></p> <p>The datasets are not in SI units. For conversion, you can use the PDF documentation.</p> <p> </p> <p><strong>Further information</strong></p> <p>For an introduction and tutorial to this data, a set of Jupyter notebooks is available <a href="https://github.com/harislulic/ZeMA-machine-learning-tutorials">here</a>. These notebooks contain Python code and a documentation of example machine learning tasks and analysis of this data set. In the near future, these will be extended to also include uncertainties in the input data.</p>
Influences of reinforcement and displacement rate on microstructure, mechanical properties and fracture behaviors of cylinder-head aluminum alloy
<p>In the present work, the material microstructure, mechanical properties and fracture behaviors of cylinder-head aluminum alloys were experimentally investigated under different displacement rates and with and without the reinforcement. By the addition of nano-clay-particles and the heat treatment, it was tried to improve mechanical properties of the base material. For this objective, after the fabrication of as-cast and nano-composite samples, respectively by gravity and stir-casting; tensile testing was done on standard samples at the displacement rate of 0.1, 1 and 10 mm/min. Then, the sensitivity analysis was performed on experimental data to find quantitatively effects of two parameters of the reinforcement and the displacement rate. In addition, the optical microscopy and the field-emission scanning electron microscopy were utilized for the microstructure and the fracture surface, plus the energy dispersive X-ray analysis. Obtained results indicated that the microstructure of the aluminum alloy was finer due to the reinforcement. Besides, both the ultimate strength and the elongation enhanced. The regression analysis implied that the strength was sensitive only to the reinforcement. Although the elongation was sensitive to both the reinforcement and the displacement rate. Investigations of fracture surfaces showed brittle behaviors with cleavage and quasi-cleavage marks.</p>
Data from: Steady streaming around a cylinder pair
The steady streaming motion that appears around a pair of circular cylinders placed in a small-amplitude oscillatory flow is considered. Attention is focused on the case where the Stokes layer thickness at the surface of the cylinders is much smaller than the cylinder radius, and the streaming Reynolds number is of order unity or larger. In that case, the steady streaming velocity that persists at the edge of the Stokes layer can be imposed as a boundary condition to numerically solve the outer streaming motion that it drives in the bulk of the fluid. It is investigated how the gap width between the cylinders and the streaming Reynolds number affect the flow topology. The results are compared against experimental observations.
3D rotating cylinder eddy data
<p>Competition between chaotic advection and diffusion: stirring and mixing in a 3D eddy model-- data to reproduce paper figures, all in Matlab files.</p> <p>This work was supported on DOD (MURI) Grant No. N000141110087 as well as US National Science Foundation Grant OCE--1558806. G. Brett received additional support from the Woods Hole Oceanographic Institution Academic Programs Office.</p> <p>Larry Pratt and Irina Rypina (WHOI) supervised this work.</p>
Fluid simulation of laminar flow past a cylinder
Open the record for dataset details and reuse information.
INTACS for Non Ectatic With High Cylinder
ClinicalTrials.gov study NCT06963099. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of the Cook Biodesign® Nipple Reconstruction Cylinder (NRC)
ClinicalTrials.gov study NCT01216319. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effect of the Changes in Cylinder Power and Axis of Toric Soft Contact Lenses on the Visual Quality, Satisfaction and Vision Acceptability in Astigmatic Subjects
ClinicalTrials.gov study NCT06937489. IPD Sharing: NO. Countries: 1. Publications: 0.
Comparing Visual Outcomes in Matched Patients Receiving a Low Cylinder Power Toric IOL or a Non-toric IOL
ClinicalTrials.gov study NCT06717607. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Low Cylinder Toric
ClinicalTrials.gov study NCT00732030. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of Cross-cylinder and Conventional Photorefractive Keratectomy(PRK) in Correcting Medium-high Astigmatism
ClinicalTrials.gov study NCT00663923. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Steady streaming around a cylinder pair
Open the record for dataset details and reuse information.
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