1,720,992 research outputs found
A dataset containing job descriptions suitable for NLP and NN processing.
Get PDFWe describe a dataset that contains job description published on a popular online website in the information and technology sector. As the website focus mainly on United Kingdom based jobs, the data have a specific focus on this country. It contains 11.501 job vacancies and 13 related meta data information. The dataset is suitable for HR analysis using machine learning techniques such as natural language processing and neural networks. Contact for this specific dataset: Francesco Lelli</a
A dataset containing S&P500 information security breaches and related financial firm performances
No full textIn this document, comprehensive datasets are presented to advance research on information security breaches. The datasets include data on disclosed information security breaches affecting S&P500 companies between 2020 and 2023, collected through manual search of the Internet. Overall, the datasets include 504 companies, with detailed information security breach and financial data available for 97 firms that experienced a disclosed information security breach. This document will describe the datasets in detail, explain the data collection procedure and shows the initial versions of the datasets. Contact at Tilburg University Francesco Lelli </a
Control strategies for handling nonlinearities in high-performance synchronous machine drives
Get PDFIn the field of electric drives, many solutions have been proposed for the control algorithm according to the power electronic devices and machine types in order to make the most of the available hardware. However, not all control structures are able to ensure high system performance, and there is not a unique type of controller that works perfectly for all existing setups and applications.
This thesis aims to deepen the study of the control algorithms for permanent magnet synchronous electrical machines, focusing on the system's nonlinearities.
In the beginning, the design and implementation of the current regulator are treated. Subsequently, the analysis and compensation for the nonlinearities introduced by the inverter are performed. These are general aspects that are valid for all systems, independently of the machine type and the applications.
Afterwards, two case studies are analyzed: in the first case, a permanent magnet synchronous reluctance machine is controlled in deep magnetic saturation; in the second case, a split rotor permanent magnet synchronous machine is controlled to achieve high speed in flux weakening operation. For both these cases, the mathematical model of the machine under analysis is derived, and a controller able to manage the machines' nonlinearity is proposed.
Simulations and experiments are carried out to validate the theoretical analysis
A dataset containing tweets and their meta data for understanding social media conversations around movies during their release.
No full textWe are sharing a dataset that contains a collection of tweets generated as reactions of the release of 50 different movies. The dataset can be used for gaining useful insights regarding the conversation that is generated around a particular movie. It is particularly suitable for conducting sentiment analysis and other NLP techniques. The dataset contains approximately 2.5 million tweets with their related meta data and cover 50 movies. For each movie, its IMDb rating is included. The movies are the 25 releases with the highest number of votes during 2020 and 2021. The collected tweets represent the reactions of the twitter community during the first week of the release date in US of that particular movie. The tweets per movie ranged from 1.000 to approximately 200.000 tweets with an average of 50.000 per release. We used The Internet Archive Wayback Machine in order to retrieve the IMDb movie rating after one week of the US release date. The tweets and related metadata have been collected using the Tweet Downloader tool.
Contact at Tilburg University: Francesco Lelli</a
Stock Values and Earnings Call Transcripts: a Sentiment Analysis Dataset
No full textThe dataset reports a collection of earnings call transcripts, the related stock prices, and the sector index In terms of volume, there is a total of 188 transcripts, 11970 stock prices, and 1196 sector index values. Furthermore, all of these data originated in the period 2016-2020 and are related to the NASDAQ stock market.
Furthermore, the data collection was made possible by Yahoo Finance and Thomson Reuters Eikon. Specifically, Yahoo Finance enabled the search for stock values and Thomson Reuters Eikon provided the earnings call transcripts.
Lastly, the dataset can be used as a benchmark for the evaluation of several NLP techniques to understand their potential for financial applications. Moreover, it is also possible to expand the dataset by extending the period in which the data originated following a similar procedure.
Contact at Tilburg University: Francesco Lelli <a
A Survey for investigating human and smart devices relationships
No full textThis dataset reports responses to a survey designed for investigating the relationship that humans have with their smart devices. The dataset has been collected in May-July 2020 and is a sample of over 500 respondents of various different ethnicities and backgrounds.
These data have been used for modelling the ways people relate to their devices using the notion of agency. However, the data can be used for complementing any study that intends to investigate a tool-mediated communication from the perspective of the users and via a variety of attitudes and expectations the users invest in their devices and in themselves as users.
This article presents the survey items as well as some raw data insights. The data have been collected in English and answers have been anonymized in order to ensure GDPR compliance. They are stored in a .csv file containing the respondents’ answers to the questions.
The reference contact for this data at Tilburg University is Francesco Lelli
The paper "A Dataset for Studying How Human Relates to their Smart Devices" provide an extensive description of the data as well as the methodology for collecting the samples
An extended approach to impact assessment in a Horizon2020 digital manufacturing project
No full textThis paper presents an extended approach to impact assessment (IA) within European Union funded large-scale projects within the manufacturing domain, which may offer value to other research projects and SME organisations seeking to develop detailed organizational reporting, as well as provides an overview of the impact data returned and assessment results. As applied during the European Connected Factory Platform for Agile Manufacturing (EFPF) project (part of the EU Horizon2020 digital manufacturing grant), this paper will detail the processes undertaken as part of this extended approach, demonstrating how project Outcome Indictors and impact assessment criterion can be aligned through an extensive review and integration of existing impact domains, objectives, measures and evidence sources with project documentation to provide a comprehensive IA/KRI framework. It will also report on the results of the process, before concluding by detailing how organisational research may best utilise the approach, and discussing the wider implications for Industry4.0
An extended approach to impact assessment in the Horizon 2020 digital manufacturing domain
No full textThis paper presents an extended approach to Impact Assessment (IA) within European Union funded large-scale projects within the manufacturing domain, which may offer value to other research projects and SME organisations seeking to develop detailed organizational reporting. It details the six-phase process that forms the framework for this extended approach, demonstrating how project Outcome Indictors and impact assessment criterion can be aligned through an extensive review and integration of existing impact domains, objectives, measures and evidence sources with project documentation to provide the detailed individual impact assessment criteria for this extended IA approach. It also reports on the application of the approach in the EC-funded digital manufacturing project, European Connected Factory Platform for Agile Manufacturing (EFPF), finding that 24 of the 27 IA criteria were met or exceed, suggesting that the project made an important contribution to the EU Industry4.0 ecosystem through furthering the key priorities of Industrial Leadership, Data Integration, Uptake of New Technologies, Open Science, the Circulation of Knowledge, and a minor contribution to Climate Change Mitigation.This paper details an extended approach to Impact Assessment within Horizon Innovation projects. It extends the standard methods deployed within Horizon projects for impact assessment by presenting a phased methodology involving identifying and aligning project KPIs and data sources with established impact assessment domains, objectives, and measures, before collecting data at timely points through detailed surveys, and then analysing the results. The end result is an extensive list of specific, measurable impact assessment criteria linked to project KPIs and outcomes with attached data sources, making it easy to design impact assessment data collection surveys that return readily comparable results even when responses are collected several years apart.Although this paper has been developed from a project within the Industry4.0 manufacturing domain, it is generalisable and therefore able to be applied to projects in different domains. Hence, this extended approach will hopefully provide a useful guide for those responsible for impact assessment in on-going and future Horizon projects
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