We present the first demonstration of multi-GeV laser wakefield acceleration in a fully optically formed plasma waveguide, with an acceleration gradient as high as 25 GeV/m. The guide was formed via self-waveguiding o...
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Heterogeneous computing systems may comprise of computing resources with varying service rates and work loads. The performance of these systems can be improved by proper load balancing of the jobs in the system among ...
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In [1], an efficient algorithm was presented for non-directional ocean wave spectrum extraction from HF-radar data. In that paper, the method was tested on synthetically-generated Doppler spectra, and was found to per...
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In [1], an efficient algorithm was presented for non-directional ocean wave spectrum extraction from HF-radar data. In that paper, the method was tested on synthetically-generated Doppler spectra, and was found to perform well, even in the presence of noise. In the current paper, the method from [1] is slightly modified and shown to be able to extract directional wave spectra effectively from HF-radar field data acquired in Argentia, Newfoundland, Canada.
This paper presents experimental results about the relationship between the Footprint Of Uncertainty (FOU) and the centroid of Interval Type-2 Fuzzy Numbers (IT2FN) which are a subclass of Type-2 fuzzy numbers. Four t...
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ISBN:
(数字)9781728169323
ISBN:
(纸本)9781728169330
This paper presents experimental results about the relationship between the Footprint Of Uncertainty (FOU) and the centroid of Interval Type-2 Fuzzy Numbers (IT2FN) which are a subclass of Type-2 fuzzy numbers. Four types of IT2FNs are analyzed: singleton-core triangular, interval-core triangular, singleton-core Gaussian and interval-core Gaussian IT2FNs. A quadratic relationship was detected, characterized, and their results are presented and discussed using numerical experiments.
To achieve ultra-low energy consumption and decade-long battery lifetime for Internet of things (IoT) networks, wake-up radio (WuR) appears as an eminent solution. While keeping devices in deep sleep for most of the t...
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ISBN:
(数字)9781728150895
ISBN:
(纸本)9781728150901
To achieve ultra-low energy consumption and decade-long battery lifetime for Internet of things (IoT) networks, wake-up radio (WuR) appears as an eminent solution. While keeping devices in deep sleep for most of the time, a WuR enabled IoT device can be woken up for data transmission at any time by a wake-up call (WuC). However, collisions happen among WuCs for transmitter-initiated data reporting and among data packets for receiver-initiated data collection. In this paper, we propose two novel hashing-based schemes in order to achieve collision-free data transmissions for receiver-initiated data collection. We consider first a simple scenario in which all devices in a region of interest are covered by a data collector and propose a scheme which facilitates a scheduled time for data uploading of each device. Then we extend our scheme to cover a more realistic scenario where IoT devices are distributed across a larger region that cannot be covered by a single data collector. In this case, we propose a partitioning algorithm for data collection across multiple partitions. Both analysis and simulations are performed to demonstrate the effectiveness of the proposed schemes.
This study presents an innovative approach to forecasting seasonal anomalies in burned areas (BA) by integrating process-based seasonal prediction and a random forest climate-fire model. The Standardized Precipitation...
This study presents an innovative approach to forecasting seasonal anomalies in burned areas (BA) by integrating process-based seasonal prediction and a random forest climate-fire model. The Standardized Precipitation Index (SPI), derived from observed precipitation, allows us to predict burned area anomalies a month before the start of the target fire season in ~68% of the burnable area. When utilizing seasonal predictions, the system maintains skillful results in ~46% of the burnable area. Given the availability of observational and forecast data in near-real-time, a prototype operational forecast for burned areas could be provided to enhance climate services.
We study the rotation of a spheroid in an incompressible micro polar fluid. Here we consider stokesian approximation for the fluid. The expressions of velocity and pressure fields are obtained in Legendre and associat...
We study the rotation of a spheroid in an incompressible micro polar fluid. Here we consider stokesian approximation for the fluid. The expressions of velocity and pressure fields are obtained in Legendre and associated Legendre functions. Redial and angular spheroidal functions are also used in solving velocity and pressure. Finally obtain the drag experienced the spheroid. Numerically studied the behavior of the drag with respect to the flow parameters display the results in the table.
In May 2022, mpox (formerly monkeypox) spread to non-endemic countries rapidly. Human judgment is a forecasting approach that has been sparsely evaluated during the beginning of an outbreak. We collected-between May 1...
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As 3D-Touch technology has recently developed, 3D-Touch technology, which was applied only to the touch display of mobile devices, has been introduced to various devices. Although many researches have proposed applyin...
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We discuss the history and lessons learned from a series of deployments of environmental sensors measuring soil parameters and CO2 fluxes over the last fifteen years, in an outdoor environment. We present the hardware...
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