ZIP(binary txt and csv files)
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This dataset includes binary files of radiometric measurement sessions 2018-2019. Measurements of microwave descending radiation in the band of resonance absorption of water vapor 18 - 27.2 GHz were performed. The observations were carried out by means of special microwave multichannel (47 channels) radiometer-spectrometer developed in Kotel'nikov Institute of Radioengineering and Electronic of RAS Special Design Bureau. Radiometer was located in Fryazino, Moscow Region, Russian Federation.
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asd
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This dataset is for the figures and the plots within the figures in the submitted paper "A hybrid event detection approach for non-intrusive load monitoring."
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The dataset contains measurements taken from four air handling units (AHU) installed in a medium-to-large size academic building. The building is a 7-story, 9000 sqm facility commissioned in 2016 hosting the PRECIS research center. It contains multiple research laboratories, multifunction spaces, meeting rooms, and a large auditorium as well as administrative offices. It is located at 44°2606.0N and 26°0244.0E in a temperate continental climate with hot summers and cold winters. Cooling is handled using on-site electric chillers while heating is provided from a district heating network.
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Feature code is often scattered across a software system. Scattering is not necessarily bad if used with care, as witnessed by systems with highly scattered features that evolved successfully. Feature scattering, often realized with a pre-processor, circumvents limitations of programming languages and software architectures. Unfortunately, little is known about the principles governing scattering in large and long-living software systems.
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Feature code is often scattered across a software system. Scattering is not necessarily bad if used with care, as witnessed by systems with highly scattered features that evolved successfully. Feature scattering, often realized with a pre-processor, circumvents limitations of programming languages and software architectures. Unfortunately, little is known about the principles governing scattering in large and long-living software systems.
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The simplicity of deployment and perpetual operation of energy harvesting devices provides a compelling proposition for a new class of edge devices for the Internet of Things. In particular, Computational Radio Frequency Identification (CRFID) devices are an emerging class of battery-free, computational, sensing enhanced devices that harvest all of their energy for operation.
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Our defect dataset, comes from PROMISErepository. This data refers to open-source Java systems such as ant, camel, ivy, jedit, log4j, lucene, poi, synapse, velocity and xerces. We selected these datasets since they have at least three consecutive releases (where release i was built before release i+1). This will allow us to build defect predictors based on the past data and then predict (test) defects on future version projects, which will be a more practical scenario.
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Data and source code related to the IEEE TWC submission titled "STAR: STochastically-dominant Access point selection algoRithm". The URL of Bitbucket repository hosting the source code is: https://YuBai@bitbucket.org/YuBai/cpn-realtime-ns3sourcecode.git.
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## FEDERAL UNIVERSITY OF BAHIA (UFBA)
## ATYIMOLAB (www.atyimolab.ufba.br)
## University College London (UCL)
## Denaxas Lab (www.denaxaslab.org)
## Robespierre Pita and Clicia Pinto and Marcos Barreto and Spiros Denaxas
/*
@(#)File: $atyimo_dataset_info.txt$
@(#)Version: $v1$
@(#)Last changed: $Date: 2017/12/04 12:00:00 $
@(#)Purpose: Example data sets for the AtyImo data linkage tool
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