This is the dataset for the letter "NLOS Mitigation Using Residual-Weighted Least-Squares in Wireless Localization"

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README File for Dataset of IAR harmonic frequencies and their ratios

Title of submitted article:

“Ratio between discrete IAR frequencies from observations in the solar cycle 24,” by A.S. Potapov, A.V. Guglielmi, and B.I. Klain

Description of the processing method:

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# RSS data from smartwatch for Contact Tracing

 

This dataset was collected for the purpose to understand the proximity between any two smartwatches worn by human.

We used the Google's Wear OS based smartwatch, powered by a Qualcomm Snapdragon Wear 3100 processor, from Fossil sport to collect the data.

The smartwatch is powered by a Qualcomm Snapdragon Wear 3100 processor and has an internal memory of up to 1GB.

 

 

Two volunteers were required to wear the smartwatch on different hand and stand at a certain distance from each other.

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296 Views

 It is the key problem of machine condition monitoring to judge whether the rolling bearing has a fault or not and judge the fault location according to the noise signal. Aiming at this problem, a rolling bearing fault identification method is proposed based on Wavelet Frequency Band Subdivision (WFBS), Principal Component Analysis (PCA) and Multi-Level Clustering (MLC).

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170 Views

This is the First Arabic voice Commands Dataset to provide personalized control of devices at smart homes for elder persons and persons with disabilities. The dataset contains 12 speakers, each saying 36 different phrases or words in Arabic language. The goal of this dataset is to use it in an Arabic smart home system to control home devices through voice. Participants were asked to say each phrase multiple times. The phrases to record were presented in a random order.

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353 Views

<p>The proliferation of efficient edge computing has enabled a paradigm shift of how we monitor and interpret urban air quality. Coupled with the dense spatiotemporal resolution realized from large-scale wireless sensor networks, we can achieve highly accurate realtime local inference of airborne pollutants. In this paper, we introduce a novel Deep Neural Network architecture targeted at latent time-series regression tasks from continuous, exogenous sensor measurements, based on the Transformer encoder scheme and designed for deployment on low-cost power-efficient edge processors.

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402 Views

Demo script and data for infocom 2022 paper titled "Don’t Miss Weak Packets: Boosting LoRa Reception with Antenna Diversities"

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A Frequency-Dependent & Per-Port (FDPP) channel termination & renormalization method is presented asa more accurate substitute for the traditional method whichuses frequency-independent, uniform impedance as the serialization/deserialization (SerDes) transmit (TX)/receive (RX)termination impedances.

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24 Views

The performances of ENRZ (Ensemble NRZ) underthe interferences of crosstalk, in conjunction with NRZ (NonReturn-to-Zero), PAM4 (Pulse Amplitude Modulation of 4-level),and PAM3 are investigated. One-side and two-side crosstalk scenarios with varying levels of crosstalk are studied. The simulatedeye-diagram obtained with the four signaling techniques undera range of crosstalk levels are compared and the reasons thatlead to the prominent advantages of ENRZ are analyzed.

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