Search results for "formation"

Kick Detection and Influx Size Estimation during Offshore Drilling Operations using Deep Learning

2019

An uncontrolled or unobserved influx or kick during drilling has the potential to induce a well blowout, one of the most harmful incidences during drilling both in regards to economic and environmental cost. Since kicks during drilling are serious risks, it is important to improve kick and loss detection performance and capabilities and to develop automatic flux detection methodology. There are clear patterns during a influx incident. However, due to complex processes and sparse instrumentation it is difficult to predict the behaviour of kicks or losses based on sensor data combined with physical models alone. Emerging technologies within Deep Learning are however quite adapt at picking up …

Image-Evoked Affect and its Impact on Eeg-Based Biometrics

2019

Electroencephalography (EEG) signals provide a representation of the brain’s activity patterns and have been recently exploited for user identification and authentication due to their uniqueness and their robustness to interception and artificial replication. Nevertheless, such signals are commonly affected by the individual’s emotional state. In this work, we examine the use of images as stimulus for acquiring EEG signals and study whether the use of images that evoke similar emotional responses leads to higher identification accuracy compared to images that evoke different emotional responses. Results show that identification accuracy increases when the system is trained with EEG recordin…

ES1D: A Deep Network for EEG-Based Subject Identification

2017

Security systems are starting to meet new technologies and new machine learning techniques, and a variety of methods to identify individuals from physiological signals have been developed. In this paper, we present ESID, a deep learning approach to identify subjects from electroencephalogram (EEG) signals captured by using a low cost device. The system consists of a Convolutional Neural Network (CNN), which is fed with the power spectral density of different EEG recordings belonging to different individuals. The network is trained for a period of one million iterations, in order to learn features related to local patterns in the spectral domain of the original signal. The performance of the…

Towards a Security Competence of Software Developers

2020

Software growth has been explosive as people depend heavily on software on daily basis. Software development is a human-intensive effort, and developers' competence in software security is essential for secure software development. In addition, ubiquitous computing provides an added complexity to software security. Studies have treated security competences of software developers as a subsidiary of security engineers' competence instead of software engineers' competence, limiting the full knowledge of the security competences of software developers. This presents a crucial challenge for developers, educators, and users to maintain developers' competences in security. As a first step in pushi…

Finding Software Bugs in Embedded Devices

2021

AbstractThe goal of this chapter is to introduce the reader to the domain of bug discovery in embedded systems which are at the core of the Internet of Things. Embedded software has a number of particularities which makes it slightly different to general purpose software. In particular, embedded devices are more exposed to software attacks but have lower defense levels and are often left unattended. At the same time, analyzing their security is more difficult because they are very “opaque”, while the execution of custom and embedded software is often entangled with the hardware and peripherals. These differences have an impact on our ability to find software bugs in such systems. This chapt…

Escala de percepción ante crisis y pandemias : desarrollo y validación de una escala pedagógica

2021

Objetivos: Abordar la metodología de estudio con respecto a epidemia/pandemia requiere involucrar pensamiento complejo frente a los retos que denota esta situación. El objetivo de este estudio es validar un cuestionario de percepción y creencias dirigido a estudiantes de medicina y enfermería sobre el uso del cine ante la complejidad de un evento pandémico, con el propósito de potenciar las estrategias de enseñanza. Metodología: Se encuestó a 131 estudiantes. La evaluación de la confiabilidad se realizó a través del análisis de consistencia interna. La valoración de los 19 ítems se evaluó mediante análisis de correlación de Pearson y la validez de constructo mediante análisis factorial expl…

What is science without replication?

2016

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Stakeholder Contradictions in Early Stages of eHealth Efforts

2017

Virtual and Augmented Reality Mirrors for Mental Health Treatment

2020

Virtual and Augmented Reality are technologies widely used in a variety of areas, including the medical sector. On the other hand, regular mirrors have been traditionally used as tools to aid in mental health treatment for a variety of diseases and disorders. Although it is possible to build Virtual and Augmented Reality experiences based on mirror metaphors, there are very few contributions of this kind in the medical sector. In this chapter, the great benefits that regular mirrors have brought for mental health treatment are addressed. In addition, a review on the state of the art in mirror-based Virtual and Augmented Reality applications is given, highlighting the potential benefits that…

Télémédecine et accident vasculaire cérébral : étude de coût sur la téléfibrinolyse

2016

Resume Introduction L’accident vasculaire cerebral ischemique (AVCi) est une urgence therapeutique qui necessite une prise en charge rapide par fibrinolyse au sein d’unites neurovasculaires (UNV) sous la surveillance d’un medecin specialise en neurologie. Il n’existe que deux UNV en Bourgogne (France). Afin de diminuer les inegalites territoriales et favoriser l’equite d’acces a cette technique efficace si realisee precocement, la fibrinolyse assistee par telemedecine a ete developpees en Bourgogne dans le cadre du projet TeleAVC. A ce jour, aucune etude n’a evalue avec precision le cout des actes de fibrinolyse ou fibrinolyse par telemedecine dans ce dispositif. L’objectif de cette etude e…