Signal Processing
The dataset consists of measurements of different stages of degradation in low-voltage contactors used for industrial purposes. The measurements were obtained with fiber Bragg grating (FBG) sensors that detect the dynamic deformation generated in switching under different load conditions and internal components. The posted dataset was preprocessed and separated into two different events. The signal is segmented and reduced from the original measurement (separated into opening and closing). Furthermore, two sets of measurements were obtained.
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Computer simulations are used to assess the impact of thermal insulation on the transfer of heat and moisture in the exterior walls of residential buildings. The effects of internal and external thermal insulation on a room in a terraced family house are compared using the COMSOL Multiphysics software package, evaluating the influence of the placement of expanded polystyrene thermal insulation on the distribution of heat and moisture in the external wall while monitoring the indoor air temperature during the heating and cooling regimes.
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This is a dataset for TCS-Fall.
A total of 20 volunteers were invited to take part in the experiment. Each volunteer performed hundreds of falls and non-falls.
All fall data and non-fall data are stored in binary files that can be parsed by Python or matlab.
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The following dataset is used to test lossless compression algorithm on already compressed data, i.e. reduce data size even further without compromising its integrity. This Dataset has 1.000 “.txt” text files extracted from other Datasets and compressed in “.zip” format with a maximum size of 1 kB (Kilobyte), that is, 1.024 bytes. The largest Dataset file has 1670 characters including “text_zip (970).zip” spaces, and the smallest repository file has 14 characters with “text_zip (1).zip” spaces.
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The large number and scale of natural and man-made disasters have led to an urgent demand for technologies that enhance the safety and efficiency of search and rescue teams. Semi-autonomous rescue robots are beneficial, especially when searching inaccessible terrains, or dangerous environments, such as collapsed infrastructures. For search and rescue missions in degraded visual conditions or non-line of sight scenarios, radar-based approaches may contribute to acquire valuable, and otherwise unavailable information.
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The e-nose device used in this study was constructed using a gas sensor array, LCD display, micro air pumps for inhalation and exhalation, a microcontroller, and a mini-PC. Gas samples from the sample chamber were periodically drawn into the device through a hose. Each sample underwent a 30-hour sampling process at room temperature (25°C). The sampling frequency was 15 times per hour, resulting in 60 records per sample.
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In the realm of real-time communications, WebRTC-based multimedia applications are increasingly prevalent as these can be smoothly integrated within Web browsing sessions. The browsing experience is then significantly improved concerning scenarios where browser add-ons and/or plug-ins are used; still, the end user's Quality of Experience (QoE) in WebRTC sessions may be affected by network impairments, such as delays and losses.
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Children Arabic Utterances for Mispronunciation Detection Dataset
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To illustrate the impact of the obstacles, we consider indoor and outdoor scenarios. We consider the Department of Computer Science and Engineering, IIT(BHU) buildings as indoor buildings and the railway platform as an outdoor scenario. Here, we use single-channel LG in our experiment. The distance between LNs and LG varies from 5 to 50 meters. The floor map illustrates the walls, doors, and windows between LNs and LG. We consider railway stations for the outdoor environment. The outdoor environment did not consist of obstacles between LNs and LG.
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