Other

Ethool usability evaluation

The data include:

Demographic data of the participants including: gender, group of participation and number of years in the company.
Results of the use of Ethool including: expended time and subjective evaluation of if using a Likert of 5 points. Two different files are available corresponding to each iteration (prototype 1 and prototype 2).
Results of the SUS questionnaire for both iterations (prototype 1 and prototype 2).

Categories:: Standards Research Data
Demographic
Other

199 Views

TL multiplier - supplemental materials

This code is provided here for research purpose(s) only. You are allowed to use this code/data provided that you cite the following papers:

R. Pilipović and P. Bulić, "On the Design of Logarithmic Multiplier Using Radix-4 Booth Encoding," in IEEE Access, vol. 8, pp. 64578-64590, 2020, doi: 10.1109/ACCESS.2020.2985345.

R. Pilipović, P. Bulić, and U.Lotrič, "A two-stage operand trimming approximate logarithmic multiplier" in IEEE Transactions on Circuits and Systems I: Regular Papers, 2021.

Categories:: Other

298 Views

5Gophers v1.0 (Commercial 5G Network Performance)

We conduct to our knowledge a first measurement study of commercial 5G performance on smartphones by closely examining 5G networks of three carriers (two mmWave carriers, one mid-band 5G carrier) in three U.S. cities. We conduct extensive field tests on 5G performance in diverse urban environments. We systematically analyze the handoff mechanisms in 5G and their impact on network performance, and explore the feasibility of using location and possibly other environmental information to predict the network performance.

Categories:: IoT
Communications
Other

811 Views

Supplementary Files - FPGA based Systolic Deconvolution Architecture for Upsampling

Please find the ZIP files attached

Categories:: Image Processing
Other

141 Views

ReuseTracker Dataset

This is the dataset of the experiment results of the ReuseTracker tool.

Categories:: Other

39 Views

Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database

Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Dataset is a Dataset composed of Hardware Performance Counters extracted from a Multicore Real-Time Embedded System. This Dataset encompasses every Monitorable Performance counters in a Cortex-A53 quad-core processor, totaling 54 performance counters, which are sampled periodically through a non-Intrusive Monitoring Framework implemented over Embedded Parallel Operating System (EPOS), a Real-Time Operating System.

Categories:: Machine Learning
Other

381 Views

2171 publications from WoS

1. We selected the database for documentary analysis(Web of Science Core Collection).2. We set up a basic search ("BLOCKCHAIN" OR"BLOCK CHAINS" OR "BLOCK-CHAIN" OR "BLOCKCHAINS" OR "CHAIN OF BLOCKS" [TITLE]. All keywords were enclosed in quotation marks to ensure that they are not split during the retrieval process, except for "BLOCKCHAIN").3. We determined the relevant timespan (“2008” TO “2020” in the categories of “Custom year range”).4. We chose the relevant Citation Indexes (“SCI-EXPANDED” and “SSCI” and “A&HCI”).A total of 2573 publications were retrieved.

Categories:: Other

128 Views

Calibration of long-stroke Cartesian robot

This data is mainly used for the calibration of the long-stroke Cartesian robot. The position data is measured by Leica Laser Tracker, including the data of the identification of kinematics parameters, the data of the Gaussian process regression model validation and prediction, and the data that the compensation results based on HTM, HTM+SBD, HTM+GPR, HTM+SBD+GPR model in different position points.