Sensors
We report on the design and experimental verification of angle and polarization insensitive mid-infrared filters based on dense arrays of dielectric resonators embedded into a metallic film. We experimentally show filters with 60% peak transmission for angles from 0 to 60 degrees for perpendicular polarization states. We also study the surface plasmonic mode excited due to the periodicity of the micro-resonators in the array. Simulations support the experimental results for both the primary resonance and the plasmonic mode.
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30 Views
As the field of human-computer interaction continues to evolve, there is a growing need for new methods of gesture recognition that can be used in a variety of applications, from gaming and entertainment to healthcare and robotics. While traditional methods of gesture recognition rely on cameras or other optical sensors, these systems can be limited by factors such as lighting conditions and occlusions.
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2308 Views
This data is for Fourfold-N step phase shifting method. There are three types of images here and in each type : '1. bmp', '5. bmp', '9. bmp', and '13. bmp' are the first set of data, '2. bmp', '6. bmp', '10. bmp', and '14. bmp' are the second set of data, '3. bmp', '7. bmp', '11. bmp', and '15. bmp' are the third set of data, and '4. bmp', '8. bmp', '12. bmp', and '16. bmp' are the fourth set of data. And 'g1. bmp', 'g2. bmp', 'g3. bmp', and 'g4. bmp' are Gray code images with auxiliary phase unwrapping.
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17 Views
This is a new dataset, including behavioral, biometric, and environmental data, obtained from 39 subjects each spending 1 week to 2 months in smart rooms in Tokyo, Japan. The approximate duration of the experiment is 3 years. This dataset includes personal data, such as the use of home appliances, heartbeat rate, sleep status, temperature, illumination, and meal data. Although there are many datasets that publish these data individually, datasets that publish them all at once, tied to individual IDs, are valuable.
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106 Views
Manual palpation of organs played a vital role in detecting abnormalities in open surgeries. However, surgeons
have lost this ability with the development of minimally invasive surgeries. This challenge led to the development of artificial sensors for palpating the patient's organs and tissue. The majority of research done is related to improving the measurement of tissue compliance by the development of versatile force sensors for surgical
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828 Views
In situations when the precise position of a machine is unknown, localization becomes crucial. It is crucial to identify and ascertain the machine's position. This research focuses on improving the position prediction accuracy over long-range networks using a unique machine learning-based technique. In order to increase the prediction accuracy of the reference point position on the data collected using the fingerprinting approach using LoRa technology, this study suggested an ML-based algorithm.
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653 Views
This dataset captures the results of a simulation experiment on underwater collaborative navigation and formation control techniques for DSUA-IVV using DSUA sensors. The data includes the following: 1) the leader and follower's position, velocity amplitude, and motion direction in a fixed formation. 2) The leader and follower's location and amplitude of velocity during the formation transition process. 3) DSUA sensor sensitivity analysis data. Code files for processing and visualizing this data are also included in the dataset.
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131 Views
Automated and autonomous industrial inspection is a longstanding research field, driven by the necessity to enhance safety and efficiency within industrial settings. In addressing this need, we introduce an autonomously navigating robotic system designed for comprehensive plant inspection. This innovative system comprises a robotic platform equipped with a diverse array of sensors integrated to facilitate the detection of various process and infrastructure parameters.
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299 Views
RRN-ATR-Net is a radar echo data set containing the micro-Doppler signatures (m-Ds) of different aerial targets, with a total sample size of 1200. It is available for researchers interested in this field but having difficulty collecting data. The data set is acquired using Texas Instruments' AWR1642BOOST radar sensor and the DCA1000EVM high-speed data acquisition card. The target types subject to acquisition include quadrotor (Phantom3s), fixed-wing (Cessna182), helicopter (T-REX450), and bionic bird (Gogo Bird1020).
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377 Views
This data repository comprises three distinct datasets tailored for different predictive modeling tasks. The first dataset is a synthetic dataset designed to simulate multivariate time series patterns, incorporating both linear and non-linear dependencies among input and target features. The second dataset, the Beijing Air Quality PM2.5 dataset, consists of PM2.5 measurements alongside meteorological data like temperature, humidity, and wind speed, with the objective of predicting PM2.5 concentrations.
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387 Views