Search results for "machine"
showing 10 items of 2592 documents
Overview of Power Electronic Switches: A Summary of the Past, State-of-the-Art and Illumination of the Future.
2020
As the need for green and effective utilization of energy continues to grow, the advancements in the energy and power electronics industry are constantly driven by this need, as both industries are intertwined for obvious reasons. The developments in the power electronics industry has over the years hinged on the progress of the semiconductor device industry. The semiconductor device industry could be said to be on the edge of a turn into a new era, a paradigm shift from the conventional silicon devices to the wide band gap semiconductor technologies. While a lot of work is being done in research and manufacturing sectors, it is important to look back at the past, evaluate the current progr…
Can we automate expert-based journal rankings? Analysis of the Finnish publication indicator
2020
The publication indicator of the Finnish research funding system is based on a manual ranking of scholarly publication channels. These ranks, which represent the evaluated quality of the channels, are continuously kept up to date and thoroughly reevaluated every four years by groups of nominated scholars belonging to different disciplinary panels. This expert-based decision-making process is informed by available citation-based metrics and other relevant metadata characterizing the publication channels. The purpose of this paper is to introduce various approaches that can explain the basis and evolution of the quality of publication channels, i.e., ranks. This is important for the academic …
Efficient remote authentication
2013
In 2003, Kennel and Jamieson described a method of remote machine authentication. By authentication, the authors meant that the remote machine is non-virtual, and the operating system on the remote machine is not malicious. The described method does not consider the variety of versions of each operating system. The description completely ignores the existence of modules that can be plugged into the operating system. The authors of this paper adapt the method described by Kennel and Jamieson to the real world so that itcan be applied without prior knowledge of theoperating system or the modules on the remote machine. peerReviewed
Anonymization as homeomorphic data space transformation for privacy-preserving deep learning
2021
Industry 4.0 is largely data-driven nowadays. Owners of the data, on the one hand, want to get added value from the data by using remote artificial intelligence tools as services, on the other hand, they concern on privacy of their data within external premises. Ideal solution for this challenge would be such anonymization of the data, which makes the data safe in remote servers and, at the same time, leaves the opportunity for the machine learning algorithms to capture useful patterns from the data. In this paper, we take the problem of supervised machine learning with deep feedforward neural nets and provide an anonymization algorithm (based on the homeomorphic data space transformation),…
La dimensione cognitiva nella traduzione assistita da computer e nella traduzione automatica
La tesi sviluppa una riflessione critica sull’utilizzo delle tecnologie per la traduzione, cercando di comprendere come esse siano state sviluppate a partire da rappresentazioni diverse del processo traduttivo umano, e di identificare le ricadute positive e negative che esse producono sul processo di traduzione, sia a livello pratico sia più profondamente, ovvero sulle dinamiche cognitive che lo caratterizzano e sul nuovo modo in cui il traduttore percepisce gli strumenti stessi, il testo e persino il proprio lavoro. The work presents the wide range of translation technologies today available, trying to shed light on the different representations of the human translation process that they t…
Diagnosis and prognosis of cardiovascular diseases by means of texture analysis in magnetic resonance imaging
2017
Cardiovascular diseases constitute the leading global cause of morbidity and mortality. Magnetic resonance imaging (MRI) has become the gold standard technique for the assessment of patients with myocardial infarction. However, limitations still exist thus new alternatives are open to investigation. Texture analysis is a technique that aims to quantify the texture of the images that are not always perceptible by the human eye. It has been successfully applied in medical imaging but applications to cardiac MRI (CMR) are still scarce. Therefore, the purpose of this thesis was to apply texture analysis in conventional CMR images for the assessment of patients with myocardial infarction, as an …
Accidents du travail dans l’UE-15 et méthodes d’apprentissage automatique
2020
Les méthodes d’apprentissage automatique ont été utilisées comme outil de prédiction dans denombreux domaines, mais leur utilisation en santé et sécurité au travail est relativement nouvelle.C’est la raison pour laquelle, il serait intéressant d’utiliser ces méthodes dans la prévision desaccidents du travail, sur les données d’enquêtes européennes sur les conditions de travail. L’objectifde ce travail est de tester les performances des techniques d’apprentissage automatique dans lamodélisation et la prédiction d’accidents du travail. A cette fin, nous utiliserons trois modèles :(les forêts aléatoires) (RF), Support Vector Machine (SVM), modèle logistique. Nous observonsque, la performance d…
Land surface temperature and evapotranspiration estimation in the Amazon evergreen forests using remote sensing data
2019
Amazonian tropical forests play a significant role in global water, carbon and energy cycles. Considering the relevance of this biome and the climate change projections which predict a hotter and drier climate for the region, the monitoring of the vegetation status of these forests becomes of significant importance. In this context, vegetation temperature and evapotranspiration (ET) can be considered as key variables. Vegetation temperature is directly linked with plant physiology. In addition, some studies have shown the existing relationship between this variable and the CO2 absorption capacity and biomass loss of these forests. Evapotranspiration resulting from the combined processes of …
Design, fabrication and evaluation of an online Intelligent machine for trout beheading and gutting
2021
La clasificación y procesado de pescado empleando máquinas automáticas reduce costes e incrementa el volumen de procesado. Después de su llegada a los mercados de distribución mayorista y minorista, el tamaño de los ejemplares suele ser muy variado para la mayoría de las especies (trucha, caballa, dorada, lubina, etc.). Debido a ello, la limpieza y corte de pescado se realiza habitualmente de forma manual. Este proceso involucra diferentes pasos y a menudo se corta en función de la demanda del usuario: sin cabeza, sin vísceras, sin cabeza ni vísceras, fileteado, etc. Combinando diferentes elementos tecnológicos, hoy en día es posible el desarrollo de sistemas automáticos capaces de mejorar …
Unsupervised network intrusion detection systems for zero-day fast-spreading network attacks and botnets
2015
Today, the occurrence of zero-day and complex attacks in high-speed networks is increasingly common due to the high number vulnerabilities in the cyber world. As a result, intrusions become more sophisticated and fast to detrimental the networks and hosts. Due to these reasons real-time monitoring, processing and intrusion detection are now among the key features of NIDS. Traditional types of intrusion detection systems such as signature base IDS are not able detect intrusions with new and complex strategies. Now days, automatic traffic analysis and anomaly intrusion detection became more efficient in field of network security however they suffer from high number of false alarms. Among all …