Search results for "eAMS"
showing 10 items of 445 documents
Magnesium alloys (WE43 and ZE41) characterisation for laser applications
2004
International audience; One of the most important parameters in laser treatment is the quantity of beam energy absorbed by the substrate. Despite its important role played in laser processes, this factor is rarely available for the laser sources wavelengths and at high temperatures reached during such treatments. A series of experiments were carried out in order to characterise, from this point of view, two types of magnesium alloys, WE43 and ZE41, often used in laser applications (cladding, alloying, welding, etc.). The results represent an important step in order to understand Mg-alloys behaviour under laser beam action.
How to integrate dreaming into a general theory of consciousness—A critical review of existing positions and suggestions for future research
2011
In this paper, we address the different ways in which dream research can contribute to interdisciplinary consciousness research. As a second global state of consciousness aside from wakefulness, dreaming is an important contrast condition for theories of waking consciousness. However, programmatic suggestions for integrating dreaming into broader theories of consciousness, for instance by regarding dreams as a model system of standard or pathological wake states, have not yielded straightforward results. We review existing proposals for using dreaming as a model system, taking into account concerns about the concept of modeling and the adequacy and practical feasibility of dreaming as a mod…
Light scattering - diagnostic methods for colloidal dispersions
1993
Abstract The increasing demand from the colloid research community for quick and noninvasive experimental techniques as well as the rapid progress of modern optics and electronics have led to a considerable expansion in the field of light scattering. This review introduces the basic concepts with some emphasis on novel approaches like the study of interacting particle systems, multiple scattering techniques, and non ergodic samples. Particular attention is then devoted to recent experimental progress towards more compact and rugged instruments.
Exploring the discursive construction of subgroups in global virtual teams
2021
The global teams literature has increasingly documented challenges due to demographic faultlines. While this literature tends to assume that faultlines are fixed and produce negative outcomes for teams, organizational communication scholars have long regarded team processes as dynamic and fluid. Drawing on a CCO perspective, we offer a re-conceptualization of subgroups as dynamic and discursively constructed. This study draws on an in-depth, longitudinal analysis of two global virtual teams to examine the discursive construction of subgroups and the role they play in team dynamics. Through a multi-method analysis of a corpus of 839 emails and 16 interviews with members of two global project…
Comportamentos de suporte e eficácia grupal: o papel mediador dos comportamentos de aprendizagem
2018
Dissertação de Mestrado em Psicologia do Trabalho, das Organizações e dos Recursos Humanos apresentada à Faculdade de Psicologia e de Ciências da Educação Supportive behaviours, defined “as the extent to which team members voluntarily provide assistance to each other when needed during task accomplishment” (Aubé & Rousseau, 2005, p.193), constitute a determinant of Team Effectiveness (Dimas, Rocha, Rebelo, & Lourenço, 2016). The current research aims to clarify further the relationship between Supportive Behaviours and Team Effectiveness criteria, mediated by Team Learning Behaviours. Based on the model of effectiveness Input-Mediator-Outcome-Input (IMOI) from Kozlowski and Ilgen (2006), th…
Slacking with the Bot: Programmable Social Bot in Virtual Team Interaction
2021
Nonhuman communicators are challenging the prevailing conceptualizations of technology-mediated team communication. Slackbot is a social bot that can be configured to respond to trigger words and, thus, take part in discussions on the platform. A set of 84 bot-related communication episodes were identified from a journalistic team's Slack messages (N=45,940) and analyzed utilizing both qualitative content analysis and interaction process analysis (IPA). This integrated mixed-methods analysis revealed novel insights into the micro-level dynamics of human-machine communication in organizational teams. In response to Slackbot's greetings, acclamations, work-related messages, and relational mes…
An Optical Remote Sensor for Fingerprint Identification using Speckle Pattern
2017
The implementation of a simple, inexpensive optical device for remote fingerprint identification is presented. The sensor is based on temporal tracking of back-reflected secondary speckle patterns generated while illuminating a finger with a laser.
Photonic non-contact estimation of blood lactate level
2015
The ability to measure the blood lactate level in a non-invasive, non-contact manner is very appealing to the sports industry as well as the home care field. That is mainly because this substance level is an imperative parameter in the course of devolving a personal workout programs. Moreover, the blood lactate level is also a pivotal means in estimation of muscles' performance capability. In this manuscript we propose an optical non-contact approach to estimate the concentration level of this parameter. Firstly, we introduce the connection between the physiological muscle tremor and the lactate blood levels. Secondly, we suggest a photonic optical method to estimate the physiological tremo…
Managing sensor data streams in a smart home application
2020
A challenge in developing an ambient activity recognition system for use in elder care is finding a balance between the sophistication of the system and a cost structure that fits within the budgets of public and private sector healthcare organisations. Much activity recognition research in the context of elder care is based on dense networks of sensors and advanced methods, such as supervised machine learning algorithms. This paper presents the data processing aspects of an activity recognition system based on a simpler, knowledge-based unsupervised approach, designed for a sparse network of sensors. By structuring sensor data management as a streaming system, we provide a simple programmi…
Seismic Performance of Earthquake-Resilient RC Frames Made with HSTC Beams and Friction Damper Devices
2021
Seismic behavior of RC frames with hybrid steel-trussed concrete beams is affected by panel zone damage due to a large amount of longitudinal reinforcement. Here the seismic efficiency of innovative frames characterized by friction damper devices (FDDs) at beam-to-column connections is compared against traditional frame. Three configurations are investigated: FDDs alone; FDDs with column-to-foundation connections having preloaded threaded bars and disk springs; FDDs with self-centering friction devices. Non-linear analyses show that FDDs alone prevent plastic hinge formation at beam ends and beam–column joint damage. FDDs with self-centering friction devices effectively limit both peak and …