Sensors
This share presents raw data and Python source code for signal processing in overflow velocity measurement using millimeter-wave MIMO-FMCW radar on a fabricated real-scale pseudo embankment. The dataset and code offer insights into developing robust river embankments, crucial for mitigating failures during heavy rains in Japan. The methodology involves constructing a pseudo embankment recommended by the Ministry of Land, Infrastructure, Transport, and Tourism (MLIT) for technology validation.
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258 Views
Laser-vision system (LVS), which provides the effective sensing of weld seams, is widely used in robotic welding. Due to the harsh visual noise during the welding process, the accurate real-time detection of weld seams is difficult. Since the optical propagation of the laser is affected by the arc light, the traditional passive vision system (PVS) filtering method for detecting weld seams is not applicable. This paper exploits the selection of an optimal imaging band for the LVS to eliminate the arc noise.
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182 Views
This dataset abstract presents findings from a study focused on enhancing surface crack detection in railroad safety through the development and optimization of a hybrid Eddy Current Testing (ECT) probe. Traditional ECT methods often encounter challenges related to 'lift-off noise', which arises from variations in probe-to-material distances. To mitigate this issue, the study introduces a novel probe design that integrates transmit and differential receiver coils, aimed at improving detection sensitivity and minimizing lift-off impact.
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149 Views
This dataset contains results of the 60 GHz indoor sensing measurement campaign using a bistatic OFDM radar based on 5G-specified positioning reference signals (PRSs). The data can be used for testing end-to-end indoor millimeter-wave radio positioning as well as simultaneous localization and mapping (SLAM) algorithms, including channel parameter estimation. Beamformed PRS with dense angular sampling in transmission and reception allows efficient capture of line-of-sight (LoS) as well as multipath components.
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1531 Views
Popularity of smartphones also popularized, reading content using smartphones. Reading using smartphones quite differs from reading using desktop system. Mouse and Keyboard are the peripherals associated with the reading in desktop systems. Study of the handling of such devices has led to provide implicit feedback of the content read. Similar study in smartphones to get implicit feedback remains to be a huge gap. Reading using smartphones involves screen gestures like pinch to zoom, tap, scroll, orientation change and screen capture.
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132 Views
The mechanical properties of fiber Bragg Grating (FBG) strain sensors in ultra-low temperature environments are very important for structural health monitoring (SHM) in the aerospace field. In this paper, two kinds of FBG temperature sensors and strain sensors were fabricated by femtosecond laser technology and ultrasonic metallization packaging process. The strain transfer mechanism, microstructure behavior, and macroscopic mechanical properties of the FBG strain sensors were discussed in detail and the corresponding theoretical models were constructed.
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57 Views
SeaIceWeather Dataset
This is the SeaIceWeather dataset, collected for training and evaluation of deep learning based de-weathering models. To the best of our knowledge, this is the first such publicly available dataset for the sea ice domain. This dataset is linked to our paper titled: Deep Learning Strategies for Analysis of Weather-Degraded Optical Sea Ice Images. The paper can be accessed at: https://doi.org/10.1109/jsen.2024.3376518
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297 Views
Various modes of transportation traverse our roadways, highlighting the importance of object classification for improving traffic safety. Optical sensors that rely on visual data encounter challenges in adverse weather conditions, where poor visibility hinders target classification. In this project we use an off-the-shelf millimeter wave Frequency Modulated Continuous Wave (FMCW) radar -- Texas Instruments IWR1843BOOST module to classify on road objects. By combining the radar module, Robot Operating System (ROS), and Python scripts, we extracted a dataset of 3D point cloud images.
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73 Views
The uploaded project is the code and dataset for Charging Efficiency Optimization Based on Swarm Reinforcement Learning under Dynamic Energy Consumption for WRSN. The details of each document in the uploaded project are as follows. Document data: The data file contains network data and simulation data. Document iostream: The iostream file contains the program for reading data and writing data. Document main: The main file contains the main program that executes the simulation. Document network: The network file
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79 Views
We investigated the long term functionality of the designed PMCS in a practical use case where we monitored plant growth of classical horticulture Dianthus flowers (Dianthus carthusianorum) under the effect of plastic mulching over a period of 4 months. This use case represents a common phenological monitoring case that can be used in agricultural studies. For this, we integrated our PMCS in an embedded vision camera equipped with the openMV H7 Plus board in a waterproof housing [26]. The system shown in Fig.
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45 Views