Search results for "IDENTIFICATION"

Towards Automated Classification of Firmware Images and Identification of Embedded Devices

2017

Part 4: Operating System and Firmware Security; International audience; Embedded systems, as opposed to traditional computers, bring an incredible diversity. The number of devices manufactured is constantly increasing and each has a dedicated software, commonly known as firmware. Full firmware images are often delivered as multiple releases, correcting bugs and vulnerabilities, or adding new features. Unfortunately, there is no centralized or standardized firmware distribution mechanism. It is therefore difficult to track which vendor or device a firmware package belongs to, or to identify which firmware version is used in deployed embedded devices. At the same time, discovering devices tha…

THE RELATIONSHIP BETWEEN WOMEN´S ARTISTIC GYMNASTICS TECHNICAL SKILL, PHYSICAL PERFORMANCE TEST RESULTS AND SUCCESS IN COMPETITIONS IN FINLAND

2019

The aim of this study was to find out the potential of the Minoritest to identify the most likely talented gymnasts to join the national team pre-training group in Finland. The study examined the relationships between gymnasts´ (N=215, age 10–13) Minoritest results (2006–2010) and success in competitions after the Minoritests until the end of 2016. The competition results were also compared between the gymnasts who had participated in the test and a random number (N=180) of gymnasts who had not. According to this study, the majority (92%) of the best gymnasts in competitions had participated in the Minoritest. 39% of the best in competitions were among the top 10 in the Minoritest. The test…

Model selection using limiting distributions of second-order blind source separation algorithms

2015

Signals, recorded over time, are often observed as mixtures of multiple source signals. To extract relevant information from such measurements one needs to determine the mixing coefficients. In case of weakly stationary time series with uncorrelated source signals, this separation can be achieved by jointly diagonalizing sample autocovariances at different lags, and several algorithms address this task. Often the mixing estimates contain close-to-zero entries and one wants to decide whether the corresponding source signals have a relevant impact on the observations or not. To address this question of model selection we consider the recently published second-order blind identification proced…

Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates

2014

Abstract Macroinvertebrates form an important functional component of aquatic ecosystems. Their ability to indicate various types of anthropogenic stressors is widely recognized which has made them an integral component of freshwater biomonitoring. The use of macroinvertebrates in biomonitoring is dependent on manual taxa identification which is currently a time-consuming and cost-intensive process conducted by highly trained taxonomical experts. Automated taxa identification of macroinvertebrates is a relatively recent research development. Previous studies have displayed great potential for solutions to this demanding data mining application. In this research we have a collection of 1350 …

The challenges of GxE research: A rejoinder

2017

The variation of the law applicable to the family property regime in EU regulations n. 2016/1103 and 1104

2021

The essay examines the discipline of EU regulations n. 2016/1103 and 1104 concerning the identification of the law applicable to the family property regime. Specifically, the work reflects on problems arising after a change, during the relationship, of the substantial law applicable to the couple?s property regime.

Thermal anomalies detection in a photovoltaic plant using artificial intelligence: Italy case studies

2021

This paper proposes the application of artificial intelligence techniques for the identification of thermal anomalies that occur in a photovoltaic system due to malfunctions or faults, with the aim to limit the energy production losses by detecting faults at an early stage. The proposed approach is based on a Thermographic Non-Destructive Test conducted with Unmanned Aerial Vehicles equipped with a thermal imaging camera, which allows the detection of abnormal operating conditions without interrupting the normal operation of the PV system rapidly and cost-effectively. The thermographic images and videos are automatically inspected using a Convolutional Neural Network, developed by an open-s…

Akateemisen varhaiskasvatuksen muotoutuminen

2001

Tässä tutkimuksessa rajaudutaan tarkastelemaan varhaiskasvatusta tieteenalan perspektiivistä. Tutkimuksessa tarkastellaan akateemisen kentän muotoutumista ja varhaiskasvatuksen sisällöllistä määrittymistä. Aineistona ovat Suomen varhaiskasvatuksen professoreiden virantäyttöprosesseissa tuotetut dokumentit. Tutkimuksemme painottuu erityisesti akateemisen kentän keskeisten toimijoiden - asiantuntijoiden ja viranhakijoiden - identifioimiseen. Työmme kohdentuu lähihistoriaan ja sitä voidaan luonnehtia akateemisen varhaiskasvatuksen kentän historiaa ja muotoutumista koskevaksi perustutkimukseksi. Aineistolähtöinen sisällönanalyysi osoittaa, etteivät asiantuntijalausunnot juurikaan tuo yllätyksiä…

DOUBLE UMBILICAL IDENTIFICATION DEVICE MOTHER-INFANT, AND METHOD THEREOF

2011

Promoting Students’ Health at University: Key Stakeholders, Cooperation, and Network Development

2021

Background: Cooperation among university units is considered a cornerstone for the promotion of students' health. The underlying mechanisms of health-promoting networks at universities have rarely been examined so far. Shedding light on partnerships is generally limited to the naming of allied actors in a network. Objectives and Methods: In this study, we used network analysis intending to visualize and describe the positions and characteristics of the network actors, and examine organizational relationships to determine the characteristics of the complete network. Results: The network analysis at hand provides in-depth insights into university structures promoting students' health comprisi…