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This paper describes a dataset of droplet images captured using the sessile drop technique, intended for applications in wettability analysis, surface characterization, and machine learning model training. The dataset comprises both original and synthetically augmented images to enhance its diversity and robustness for training machine learning models. The original, non-augmented portion of the dataset consists of 420 images of sessile droplets. To increase the dataset size and variability, an augmentation process was applied, generating 1008 additional images.
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87 Views
We introduce a wireless potato root tuber sensing (WPS) dataset comprising multi-channel received signal strength(RSS) data from a wireless network and ground truth annotations for potato root tubers. We design a testbed called spin, which is based on a multi-channel wireless network, the wireless network is consist of 16 TI CC25231 nodes deploy on a white rack, using this testbed, we conduct extensive measurement expriments. We first perform expriments in a static environment.
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128 Views
This dataset is utilized for adversarial camouflage generation. We collect vehicle datasets in the CARLA simulation environment under 16 weather conditions. These weather conditions are generated by combining four sun altitude angles (-90°, 10°, 45°, 90°) with four fog densities (0, 25, 50, 90). Within each weather scenario, we randomly choose 16 locations for texture generation. Camera transformation values are randomly selected within specified intervals at each car location.
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404 Views
Smart focal-plane and in-chip image processing has emerged as a crucial technology for vision-enabled embedded systems with energy efficiency and privacy. However, the lack of special datasets providing examples of the data that these neuromorphic sensors compute to convey visual information has hindered the adoption of these promising technologies.
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126 Views
This dataset contains Wi-Fi sensing data using Channel State Information (CSI) for various sleep disturbance parameters, from respiratory disturbances, to motion-based disturbances from posture shifts, leg restlessness and confusional arousals.The Wi-Fi CSI data was collected using the Wi-Fi module on the ESP32 Microcontroller units using the esp32-csi-tool.The Wi-Fi CSI respiratory disturbance data is accompanied by respiration belt data taken with the Wi-Fi measurements simultaneously using the Neulog NUL-236 respiration belt logger as ground truth.
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712 Views
This graph illustrates the visualization trend of a subset of the dataset I have uploaded, which comprises 6500*9 data points. The dataset consists of nine columns representing underwater speed (UWS), underwater course (UWC), depth below the surface (DBS), rate of change in speed (RCS), rate of change in course (RCC), rate of change in depth (RCD), trend A and B of vibrational signals (TVS_A, TVS_B) and electromagnetic noise trend (TEN) recorded by the AUV.
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93 Views
Brain-Computer Interface (BCI) is a technology that enables direct communication between the brain and external devices, typically by interpreting neural signals. BCI-based solutions for neurodegenerative disorders need datasets with patients’ native languages. However, research in BCI lacks insufficient language-specific datasets, as seen in Odia, spoken by 35-40 million individuals in India. To address this gap, we developed an Electroencephalograph (EEG) based BCI dataset featuring EEG signal samples of commonly spoken Odia words.
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314 Views
executing the coding and topological experiments while simulating the automation pyramid model we constructed with Ifogsim. the pyramid's layers, the changes that occur at each level, and the connections between clouds and communication at every level.executing the coding and topological experiments while simulating the automation pyramid model we constructed with Ifogsim.
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89 Views
The atmospheric radio propagation data set includes atmospheric environment data and radio frequency propagation phase detection data. Atmospheric environment data is collected by temperature, humidity and pressure sensors with a sampling rate of 1. The test time lasts for 10,000 seconds. RF propagation phase jitter was measured by the phase comparison method using a digital multimeter (Keysight 34411A) with a sampling rate of 1. The measurement time is 40,000 seconds.
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161 Views
Shape displays, devices which can actively alter their surface topology, have promising applications for human-robot-collaboration, haptic interaction, and manufacturing. However, these use-cases are limited due to existing challenges in dynamic object control on the shape display surface. This dataset provides experimental data supporting a general-purpose, extendable potential field algorithm that is used to control velocity and object motion on shape display surfaces. The dataset includes ball position and velocity data over time for multiple trials of experiments.
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3 Views