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1,506 results for “objects”
Data from: Humans use multi-objective control to regulate lateral foot placement when walking
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Acquisition of object-robbing and object/food-bartering behaviors: A culturally maintained token economy in free-ranging long-tailed macaques
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Data for: Effects of domestication and captive breeding on reaction to moving objects: Implications for avoidance behaviors of obstacles and predators by masu salmon Oncorhynchus masou
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hollow_object_trained_model
<p>Trained model for hollow object inside</p>
A Comparative Study of Multi-objective Optimization Methodologies for Molecular and Process Design
<p>The files contain the set of solutions generated with various multi-objective optimization methods.</p>
Sealing. Oval sealing in terracotta showing a seated lion before an indistinct object (perhaps a discus shown on end); two line inscription below
<p>Sealing. Oval sealing in terracotta showing a seated lion before an indistinct object (perhaps a discus shown on end); two line inscription below. British Museum 2005,0814.2.</p>
Sealing in terracotta with on one a trident and one line inscription below; to the right an oval object with a looped edge. Line impression on the reverse.
<p>Sealing in terracotta with on one a trident and one line inscription below; to the right an oval object with a looped edge. Line impression on the reverse. British Museum 2005,0814.4.</p>
Adult_Hooded_Rat_Objects
Drawing uploaded to scidraw.io on: 16 November 2019
microscope Objective
Drawing uploaded to scidraw.io on: 20 March 2020
Supporting data for "Reducing uncertainties in urban drainage models by explicitly accounting for timing errors in objective functions"
<p>Supporting data for "Reducing uncertainties in urban drainage models by explicitly accounting for timing errors in objective functions" submitted to Water Resources Research.</p> <p>Contains:</p> <ul> <li>SWMM template files.</li> <li>Objective function values for all model runs.</li> <li>Jupyter Notebooks used to create figures and tables for the article.</li> <li>Copy of rainfall runoff data available from <a href="https://doi.org/10.5281/zenodo.3931582">https://doi.org/10.5281/zenodo.3931582</a></li> </ul> <p>For python implementations of the Hydrograph Matching Algorithm (Ewen 2011) see <a href="https://doi.org/10.5281/zenodo.3923792">https://doi.org/10.5281/zenodo.3923792</a></p> <p>Ewen, John. “Hydrograph Matching Method for Measuring Model Performance.” <em>Journal of Hydrology</em> 408, no. 1–2 (September 2011): 178–87. <a href="https://doi.org/10.1016/j.jhydrol.2011.07.038">https://doi.org/10.1016/j.jhydrol.2011.07.038</a>.</p>
LiaoSteve/Trash-Dataset-and-object-detection: Trash-Dataset-and-object-detection
<p>Create my trash dataset and use hexacopter to detect trash pollution with YOLOV3.</p> <pre><code>Trash dataset : 1. bottle 2. bag 3. plastic_bag YOLOV3 weight : 1. anchor.txt 2. classes.txt 3. weight.h5 </code></pre>
Data from: Predictions of the transient loading on box-like objects by arbitrary pressure waves in air
This study investigates the transient loading on rigid, isolated, box-like objects by impinging pressure waves of variable intensity and time duration. A numerical solver is used to predict the transient flow around the object and the consequent pressure on the object's surface. An analytical model is developed which is capable of predicting the transient loading history on the faces of a box-like object; it was found in good agreement with the numerical predictions. The numerical and analytical models are then used to construct non-dimensional design maps. Different regimes of loading are identified and explored.
Fig. 1 in Stereophotography of malacological objects
Fig. 1: Stereo-images of gastropod shells which are larger than 1 cm: (a) Viviparus contectus, (b) Cyprea sp., (c) Murex sp.
Fig. 2 in Stereophotography of malacological objects
Fig. 2: Stereo-images of gastropod shell with lengths below 1 cm: (a) Bythinella austriaca, (b) Bithynia tentaculata, (c) Valvata piscinalis.
Investigating Multi and Many-Objective Metaheuristics to Support Software Integration Testing
<p>In spite of the fact that Search-Based Software Testing (SBST) is a very appealing field today, there are few studies that deal with software integration testing and, even so, most of these works are not truly related to the generation of test cases to this testing level. In this paper, we present a method, InMeHy, which aims at investigating the use of metaheuristics to derive integration test cases based on C++ source code. A graph is created based on the code which represents the integration of several classes of the application. Multi and Many-Objective metaheuristics (Evolutionary Algorithms) were considered to generate integration test cases and were assessed via three quality indicators. Results show that the traditional Indicator-Based Evolutionary Algorithm (IBEA) turned out to be the best out of four algorithms evaluated, including newer Many-Objective strategies such as Nondominated Sorting Genetic Algorithm-III (NSGA-III).</p>
Bridge Construction Monitoring using LIDAR for Quantified, Objective Quality-Control Quality-Assurance (QOQCQA)
<p>Transportation infrastructure construction quality control and quality assurance demands construction monitoring by field inspectors. Currently, these inspectors monitor infrastructure by measuring and photographing structures. These tasks allow them to assess any correction decision during construction or to inform about the quality of the construction process for the future. In order to promote and objective decisions obtained during infrastructure construction, the proposed research project developed and implemented a methodology to measure construction progress and compared it with the designed 3D shape, quantifying the difference. This proposed project includes implementation for the development of DOT standards that could be added in near future bridge construction documents. The New Mexico Department of Transportation (NMDOT) showed a strong interest in this topic. The experience of the PIs on bridge design and construction, field inspection, and LIDAR technology was integrated in order to evaluate the results with impact both in research and in industry. Specifically, the research results outline recommendations about standards for implementation of technology in specifications for NMDOT or other DOTs.</p>
Figure 1 from: Zou Y (2020) Distance measurement using the spherical wave fact of astronomical objects. Research Ideas and Outcomes 6: e60713. https://doi.org/10.3897/rio.6.e60713
Figure 1 A schematic figure shows the spherical wave observed with 3 telescopes located at positions A, O, and B. The 3 telescopes are settled at the spherical wavefront. The source S is the center of the circle. With the measuring of distance \documentclass[12pt]{standalone} \usepackage{varwidth} \usepackage[utf8x]{inputenc} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{amsmath, amssymb, graphics, setspace} \newcommand{\mathsym}[1]{{}} \newcommand{\unicode}[1]{{}} \newcounter{mathematicapage} \begin{document} \begin{varwidth}{50in} \begin{equation*} b \end{equation*} \end{varwidth} \end{document} =OO', one is able to get the distance \documentclass[12pt]{standalone} \usepackage{varwidth} \usepackage[utf8x]{inputenc} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{amsmath, amssymb, graphics, setspace} \newcommand{\mathsym}[1]{{}} \newcommand{\unicode}[1]{{}} \newcounter{mathematicapage} \begin{document} \begin{varwidth}{50in} \begin{equation*} D = {d^2 \over 2b} \end{equation*} \end{varwidth} \end{document} , where \documentclass[12pt]{standalone} \usepackage{varwidth} \usepackage[utf8x]{inputenc} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{amsmath, amssymb, graphics, setspace} \newcommand{\mathsym}[1]{{}} \newcommand{\unicode}[1]{{}} \newcounter{mathematicapage} \begin{document} \begin{varwidth}{50in} \begin{equation*} d \end{equation*} \end{varwidth} \end{document} is the distance between B and O'.
The fate of interstellar objects during the collapse of molecular clouds - animations
<p>Animations of collapsing molecular clouds containing a population of interstellar objects.</p>
FAIR Digital Object and DiSSCo Research Infrastructure Design
<p>This presentation is about how <a href="https://dissco.eu">DiSSCo</a> (Distributed System of Scientific Collections) is using the FAIR Digital Object as the cornerstone of a research infrastructure design. DiSSCo -- a new Research Infrastructure currently in the preparation phase -- will digitally unify European natural science assets under common curation and access and will ensure that data is Findable, Accessible, Interoperable and Reusable (FAIR). DiSSCo will integrate a fragmented landscape of natural science collections, transforming it into a unified, robust, quality ensured knowledge base of unprecedented scale for bio- and geodiversity.</p> <p>With a brief historical context of FAIR Digital Object, this presentation introduces the concept of Digital Specimen. Then it highlights the incorporation of outputs from several <a href="https://rd-alliance.org/">RDA</a> (Research Data Alliance) interests and working groups in the design decision.</p>
Multi-objective optimization data (large scale truss)
<p>The file contains data obtained from the multi-objective optimization of a large scale truss</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.