Standards Research Data
The C3I Synthetic Face Depth Dataset consists of 3D virtual human models and 2D rendered RGB and GT depth images in zipped version into two folders for male and female.
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These are the coefficients of the equivalent velocity increment estimator for minimum-time low-thrust transfers to the geostationary orbit.
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This open dataset is subject to CC BY-NC-SA 4.0 License. The dataset is intended for scientific research purposes and it cannot be used for commercial purposes. The authors encourage users to use it for public research and as a testbench for private research. Please note that any promotional/marketing material built upon this dataset should be backed by publicly available description of the work leading to the promotional/marketing claims.
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This document has description of acoustic and vibration data of defect cases of centrifugal pump, Test rig facility, sensor, and data acquisition device located at Precision Metrology Laboratory, Mechanical Engineering Department of Sant Longowal Institute of Engineering and Technology Longowal, India.
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Extensive use of unmanned aerial vehicles (UAVs) is expected to raise privacy and security concerns among individuals and
communities. In this context, detection and localization of UAVs will be critical for maintaining safe and secure airspace in the
future. In this work, Keysight N6854A radio frequency (RF) sensors are used to detect and locate a UAV by passively monitoring
the signals emitted from the UAV. First, the Keysight sensor detects the UAV by comparing the received RF signature with various
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Vibration and Acoustic data for defect cases of the cylindrical roller bearing (NBC: NU205E) of Precision Metrology Laboratory, Mechanical Engineering Department, Sant Longowal Institute of Engineering and Technology, Longowal, India
This data can have the following applications:
- Test the performance of various signal processing techniques.
- Defect width measurement using vibration data
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Air travel is one of the most used ways of transit in our daily lives. So it's no wonder that more and more people are sharing their experiences with airlines and airports using web-based online surveys. This dataset aims to do topic modeling and sentiment analysis on Skytrax (airlinequality.com) and Tripadvisor (tripadvisor.com) postings where there is a lot of interest and engagement from people who have used it or want to use it for airlines.
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The data are quantitative food texture acquired from published empirical research papers described in the links.
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Several works attempted to establish procedures to individuate bugs, defects or anomalies during the different phases of software development, especially in the implementation phase. The mere detection of anomalies is not sufficient, though, at least until they get fixed. Corrective actions can be formulated to remove anomalies and enhance the software quality. Preventive actions are equally important in as much as they avoid the emergence and recurrence of anomalies in the future.
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