This dataset is the supplementary material of an IEEE RAL paper named "Design of Fully Controllable and Continuous Programmable Surface Based on Machine Learning". It includes the z-displacement data derived from the FEA simulation, voltage input data derived from Matlab, and dataset for inverse application. The detailed description can be found in that paper.

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Biomechanics has predominantly relied upon the trajectory optimization method for the analysis and prediction of the movement of the limbs. Such approaches have paved the way for the motion planning of biped and quadruped robots as well. Most of these methods are deterministic, utilizing first-order iterative gradient-based algorithms incorporating the constrained differentiable objective functions.

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In this data file are the ratings made by 36 subjects during an experiment evaluating 3 different products (desktop telephones) in three different media: photorealistic renders, augmented reality and virtual reality. In addition, their opinion about the overall evaluation of the product ("Like"), security in response and purchase decision was collected. The presence data collected is equivalent to the application of the SUS presence test.

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CONTENTS OF THIS FILE

  •  Data Analysis
  •  Experimental Design

Data Analysis

This folder consists of data obtained from the experiments and the materials we use for analysis. Here we provide the following documents:

01-The folder "Class diagrams"

      This folder contains class diagrams realized by participants in three experiments.

02-Code.R 

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Abstract—Chipless RFID tag decoding has some inherent degrees of uncertainty because there is no handshake protocol between chipless tags and readers. This paper initially compares the outcome of different pattern recognition methods to decode some frequency-based tags in the mm-wave spectrum. It will be shown that these pattern recognition methods suffer from almost 2 to 5% false decoding rate. To overcome this mis-decoding problem, two novel methods of making images of the chipless tags are presented.

Instructions: 

This is the S11 parameters collected for 27 alphanumeric tags, with background noise deleted. Tag to antenna is 5 cm, a horn antenna (A-info antenna in the paper reference)

Tags are scanned in three positions, perpendicular to the antenna broadside, and +/-1.5cm away as right of left. Noise is already deducted from the data.

As data is huge (<1M rows), it has been put into two sheets.

 

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This sheet contains the answers from our european Cyber Security MSc Education Survey. The data shows which knowledge units various educations in Europe cover and to which extend. We drew conclusions in the paper "Are We Preparing Students to Build Security In? A Survey of European Cybersecurity in Higher Education Programs". The present dataset is newer and therefore extends the one we based our paper on.

Instructions: 

The file is an excel .xlsx file, so you can open it in Excel, LibreOffice, OpenOffice or a similar spread sheet tool. The file has 3 sheets:

  • Universities: Contains all the raw data
  • KAs and KUs: Contains the mapping of each knowledge unit to a knowledge area
  • Explanation: Contains an explanation of the data. It also contains a few errata for our paper based on a previous version of the data.
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Mother’s Significant Feature (MSF) Dataset has been designed to provide data to researchers working towards woman and child health betterment. MSF dataset records are collected from the Mumbai metropolitan region in Maharashtra, India. Women were interviewed just after childbirth between February 2018 to March 2021. MSF comprise of 450 records with a total of 130 attributes consisting of mother’s features, father’s features and health outcomes. A detailed dataset is created to understand the mother’s features spread across three phases of her reproductive age i.e.

Instructions: 

We have provided the copy of forms used to collect data for datset and a read me guide to undertand the features provided in dataset along with the content of all the 6 dataset submitted in excel sheet format.

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 The dataset consists of results of 10 different tests conducted on 8 different types of battery cells. All batteries are designed in 18650, but they differ in manufacturer and composition. The measurements can be divided into three groups: constant load tests, WLTP tests at different temperatures and transient tests. Constant load tests are performed at 0.1C and 1C as a function of battery capacity, both during charging and discharging. During transient tests, a 360s load/charge is followed by a 60s relaxation.

Instructions: 

Please see the attached: Complex_battery_test_18650.docx.

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Silk fibroin is the structural fiber of the silk filament and it is usually separated from the external fibroin by a chemical process called degumming. This process consists in an alkali bath in which the silk cocoons are boiled for a determined time. It is also known that the degumming process impacts the property of the outcoming silk fibroin fibers.

Instructions: 

The data contained in the first sheet of the dataset is in tidy format (each row correspond to an observation) and can be directly imported in R and elaborated with the package Tidyverse. It should be noticed that the row with the standard order 49 correspond to the reference degumming while the row 50 correspond to the test made on the bare silk fiber (not degummed). In this last case neither the mass loss nor the secondary structures were determined. In fact, being not degummed the sericine was surrounding the fiber so the examination of the secondary structure could not be done. The first two column of the dataset represent the Standard order (the standard order in which the Design of Experiment data are elaborated) and the Run order (the randomized order in whcih the trials were performed). The next four columns are the Studied factors while the rest of the dataset reports the process yields (in this case, the properties of the outcoming silk fibers). 

The second sheet contains the information of the molecular weight of the tested samples. In this case only one sample for each triplicate was tested. Both the standard order and the run order referred to the same samples of the first sheet.

In the Raw data.zip file the raw mechanical curves are reported in OriginLab format  divided in datasheets numbered as the sample from 1 to 48 with the additions of a datasheet for the reference curves obtained form the Rokwood protocol and the curves form the raw cocoons. 

In the same archive a file with the GPC curves and their elaborations for the tested samples are reported. 

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Data Analysis

This folder consists of data obtained from the experiments and the materials we use for analysis. Here we provide the following documents:

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173 Views

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