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SRNE 1

SRNE 1

Ingestion and reporting times for processing 5G performance management files in a Big Data framework

Diana Martinez-Mosquera
This dataset presents the results obtained for Ingestion and Reporting layers of a Big Data architecture for processing performance management (PM) files in a mobile network.Flume was used in the Ingestion layer.Flume collected PM files from a virtual machine that replicates PM files from a 5G network element (gNodeB).Flume transferred PM files to High Distributed File System (HDFS) in XML format.Hive was used in the Reporting layer.Hive queries the raw data from HDFS.Hive queries a...

Ingestion and reporting times for processing 5G performance management files in a Big Data framework

Diana Martinez-Mosquera
This dataset presents the results obtained for Ingestion and Reporting layers of a Big Data architecture for processing performance management (PM) files in a mobile network.Flume was used in the Ingestion layer.Flume collected PM files from a virtual machine that replicates PM files from a 5G network element (gNodeB).Flume transferred PM files to High Distributed File System (HDFS) in XML format.Hive was used in the Reporting layer.Hive queries the raw data from HDFS.Hive queries a...

Method of Setting Exit Advance Guide Signs in Highway Tunnels Based on Driver’s Eye Movement with Markov Chain

hao lu
While the number of highway tunnels is increasing, the current Chinese criteria and Uniform Traffic Control Equipment Manual (MUTCD) 2009 guidelines provide no clear method for the setting of exit advance guide signs in highway tunnels. To solve this problem, this paper proposes separate guide signs, consisting of location and distance signs. Location signs on tops of tunnels use Chinese characters with a height of 40 cm and 20 cm. Distance signs are 62.6 m...

wind -Part 1

Abhishek Bansal
This dataset is in support of Research Paper " Grid-Connected Wind " submitted to "IEEE Transactions on Energy Conversion".Abstract of the above submitted paper

Coronavirus (COVID-19) Tweets Dataset

Rabindra Lamsal
This dataset includes CSV files that contain IDs and sentiment scores of the tweets related to the COVID-19 pandemic. The tweets have been collected by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. This dataset has been wholly re-designed on March 20, 2020, to comply with the content redistribution policy set by Twitter.The...

MIZZOU-CIS-WAYLON

abstract

Baseline 6

This is an enhanced version of baseline 2 submitted previously. The total yearly consumption per smartmeter is infered using ratios computed on the 270 smartmeters which have full historical data. A) Use the 270 smart meter with 12 month data : compute ratios that represent every month : jan / Jan->dec , feb/jan->dec, … B) Compute the total yearly consumption a. Example : Smart meter with data for November and December only§ Nov = 10%...

Model 0

Baseline model.

ExoNet Database: Wearable Camera Images of Human Locomotion Environments

Brokoslaw Laschowski, William McNally, Alexander Wong & John McPhee
Abstract: Advances in computer vision and artificial intelligence are allowing researchers to develop environment recognition systems for powered lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for classifying human walking environments. To address these limitations, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in scale and diversity, ExoNet contains over...

another_submission

Just another submission

another_submission2

just another one

GeoNRW

Gerald Baier, Antonin Deschemps, Michael Schmitt & Naoto Yokoya
This dataset consists of orthorectified aerial photographs, LiDAR derived digital elevation models and segmentation maps with 10 classes, acquired through the open data program of the German state North Rhine-Westphalia (https://www.opengeodata.nrw.de/produkte/) and refined with OpenStreeMap. Please check the license information (http://www.govdata.de/dl-de/by-2-0). Preprocessing consists of resampling the 0.1m resolution photographs to 1m, taking the first LiDAR return while averaging within 1m² to arrive at the same resolution as the photographs, and rasterizing vector files of the...

Effect of millet vegetation on path-loss between CC2538 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)

Agro Glean System, Pankaj Pal, Rashmi Priya Sharma & Sanjay Pal
Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of millet vegetation on path-loss between CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)".This proposal examines the received signal strength through measurement campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed for millet crop monitoring from period 03/06/2020 to 04/10/2020.

G20 Daily Indices 2010-2020

RENLONG JIE
This dataset includes the time series of daily returns for the main stock indices of G20 countries including Argentina, Australia, Brazil, Canada, China, the European Union, France, Germany, India, Indonesia, Italy, Japan, Mexico, Russia, Saudi Arabia, South Africa, South Korea, Turkey, the United Kingdom, and the United States from Jan 1, 2010 to Jan 1, 2020.

Effect of millet vegetation on path-loss between CC2538 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)

Agro Glean System, Pankaj Pal, Rashmi Priya Sharma & Sanjay Pal
Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of millet vegetation on path-loss between CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)".This proposal examines the received signal strength through measurement campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed for millet crop monitoring from period 03/06/2020 to 04/10/2020.

Effect of millet vegetation on path-loss between CC2538 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)

Agro Glean System, Pankaj Pal, Rashmi Priya Sharma & Sanjay Pal
Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of millet vegetation on path-loss between CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)".This proposal examines the received signal strength through measurement campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed for millet crop monitoring from period 03/06/2020 to 04/10/2020.

Effect of Paddy Rice vegetation on path-loss between CC2538 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)

Agro Glean System, Pankaj Pal, Rashmi Priya Sharma & Sanjay Pal
Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of Paddy Rice vegetation on path-loss between CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)".This database contains received signal strengthmeasurementscollected through campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed for millet crop monitoring from period 01/07/2020 to 03/11/2020.

Effect of millet vegetation on path-loss between CC2538 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)

Agro Glean System, Pankaj Pal, Rashmi Priya Sharma & Sanjay Pal
Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of Millet vegetation on path-loss between CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)".This database contains received signal strengthmeasurementscollected through campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed for millet crop monitoring from period 03/06/2020 to 04/10/2020.

2018-2019 PV Generation of a Rooftop Plant in the University of Macau and Weather Report

Yiwei Qiu & Zhipeng Zhou
Including solar power geneartion from 2018 to 2019 at a 3kW rooftop pv plant in the university of macau, with a resolation of 30 s, and the public weather report of Macau with a resolution of 1 hour.

Effect of Sugarcane Vegetation On Path-Loss Between CC2650 and CC2538 Soc Based Sensor Nodes Operating At 2.4 Ghz Radio Frequency (Rf)

Agro Glean System, Pankaj Pal, Rashmi Priya Sharma & Sanjay Pal
Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of Sugarcane vegetation on path-loss between CC2650 and CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)". This database contains received signal strength measurements collected through campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed for Sugarcane crop monitoring from period 20/11/2019 to 20/06/2020.

Effect of Paddy Rice vegetation on path-loss between CC2650 SoC based sensor nodes operating at 2.4 GHz Radio Frequency (RF)

Agro Glean System, Pankaj Pal, Rashmi Priya Sharma & Sanjay Pal
Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect ofPaddy Ricevegetation on path-loss betweenCC2650 SoC 32-bit Arm Cortex-M3based sensor nodes operating at2.4 GHzRadio Frequency (RF)".This database contains received signal strengthmeasurementscollected through campaigns in theIEEE 802.15.4standard precision agricultural monitoring infrastructure developed for millet crop monitoring from period03/07/2019 to 18/11/2019.

Effect of Sugarcane Vegetation On Path-Loss Between CC2650 and CC2538 Soc Based Sensor Nodes Operating At 2.4 Ghz Radio Frequency (Rf)

Agro Glean System, Pankaj Pal, Rashmi Priya Sharma & Sanjay Pal
Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of Sugarcane vegetation on path-loss between CC2650 and CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)". This database contains received signal strength measurements collected through campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed for Sugarcane crop monitoring from period 20/11/2019 to 20/06/2020.

Gaussian Blobs of Varying numbers of samples, centers and features

Sadiksha Sharma
The dataset has Gaussian Blobs of varying samples, centers and features. The number of samples ranges from 500 to 50,000. Similarly, the number of centers varies from 2 to 100, while the number of features varies from 2 to 2048. These different sets of Gaussian blobs can be used for testing clustering algorithms for their scalability and effectiveness. There are two kinds of files inside the compressed sets. Files ending with "_X.csv" consist of datapoints,...

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