22 research outputs found
Skin-Effect Loss Models for Time- and Frequency-Domain PEEC Solver
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Trabalhar para viver, ou viver para trabalhar? Um estudo das variáveis que influenciam o equilíbrio trabalho-vida
Dissertação de Mestrado em Psicologia Social e das Organizações, apresentada ao ISPA - Instituto UniversitárioO presente trabalho propõe-se a estudar o efeito da experiência de recuperação, horas de trabalho e estabilidade no emprego no equilíbrio trabalho-vida. Adicionalmente explorou-se o efeito mediador da experiência de recuperação na relação entre horas de trabalho e equilíbrio trabalho-vida.
Consideraram-se 174 participantes neste trabalho sendo que todos se encontravam a trabalhar no momento em que responderam ao questionário. A amostra recolhida foi bastante heterogenia, havendo uma predominância de participantes do sexo feminino (112 sujeitos), com idades compreendidas entre os 19 e os 65 anos, sendo na sua maioria licenciados (48,3%).
Sendo o objetivo deste estudo testar o efeito mediador da experiência de recuperação na relação entre horas de trabalho e equilíbrio trabalho-vida, recorreu-se a uma análise de equações estruturais. Apesar de não se ter confirmado essa hipótese, realizou-se uma análise de carácter exploratório, tendo sido encontrado um efeito mediador do distanciamento psicológico na relação entre horas da atividade principal e equilíbrio trabalho-vida. Todas as variáveis demonstraram um efeito preditivo no equilíbrio trabalho-vida à exceção da estabilidade no emprego.
Os resultados encontrados neste estudo permitem alertar as organizações para a importância de algumas práticas para o bom equilíbrio trabalho-vida, tão importante na vida dos indivíduos. Várias teorias suportam a ideia de que este equilíbrio é fundamental para o bom desempenho de ambos os papéis e para o bem-estar dos indivíduos. Permitem também consciencializar os trabalhadores, de que é possível recuperar das exigências laborais, desde que haja um empenho na experiência de recuperação.ABSTRACT: The present research aims to study the effect of recovery experience, hours worked and job security in the work-life balance.
For this study were considered 174 (all employed at the moment) and the sample collected was very distintic, having a predominance of women (112 subjects) with ages between 19 and 65 years old. Most part of them were graduated (48,3%).
As the objective of this investigation was to study the mediator effect of recovery experiences in the relationship between hours worked and work-life balance, the data were analyzed with a structural equation modeling. As the hypothesis was not confirmed, exploratory analyzes were made, that suggested a mediator effect of psychological detachment in the relation between hours worked and work-life balance. All the variables showed a predictive effect on work-life balance with exception of job security.
The results of this study are an alert to all organizations about the importance of some practices to accomplish a satisfying work-life balance, so important in individuals’ life. Several theories support the idea that this balance is crucial to a good performance in both roles (personal and professional) and for individuals’ well-being. They also allow workers to understand that it is possible to recover from work demands, as long as there’s a significant investment in the recovery experience
Transient Analysis of Lossy Transmission Lines: an Efficient Approach Based on the Method of Characteristics
This paper is devoted to transient analysis of lossy
transmission lines characterized by frequency-dependent parameters.
A public dataset of parameters for three line examples
(a module, a board, and a cable) is used, and a new example of
on-chip interconnect is introduced. This dataset provides a well
established and realistic benchmark for accuracy and timing analysis
of interconnect analysis tools. Particular attention is devoted
to the intrinsic consistency and causality of these parameters. Several
implementations based on generalizations of the well-known
method-of-characteristics are presented. The key feature of such
techniques is the extraction of the line modal delays. Therefore, the
method is highly optimized for long interconnects characterized
by significant propagation delay. Nonetheless, the method is
also successfully applied here to a short high/loss on-chip line,
for which other approaches based on lumped matrix rational
approximations can also be used with high efficiency. This paper
shows that the efficiency of delay extraction techniques is strongly
dependent on the particular circuit implementation and several
practical issues including generation of rational approximations
and time step control are discussed in detail
Toward improved time domain stability and passivity for full-wave PEEC models
It is well known that time domain integral equation techniques may suffer from stability problems and frequency domain models may provide non-passive results. A main source of these issues is the delay of the coupled elements. In the classical Partial Element Equivalent Circuit (PEEC) method, a single delay was used for each couple of partial element which results in a delay differential equation with reduced stability and accuracy. In this paper, we consider multiple delay coefficients which can be used for both the time and frequency domain. Also, filters are introduced which remove unwanted eigenvalues or resonances in the partial element couplings. This can substantially improve the response of the frequency domain and the time domain models. Stability improvements also means passivity improvements.Godkänd; 2006; 20061114 (ysko
A comparative study of two time-domain simulation algorithms for lossy and dispersive transmission lines
Two general discrete time-domain transient analysis algorithms for the modeling of lossy and dispersive transmission lines are reviewed and compared. The first is based on the generalized method of characteristics through recursive convolution while the second is based on the more recent Padé macromodeling approach using synthesized lumped networks The different approximations made in these two algorithms are compared and computational evidence is presented to show that these two methods complement rather than compete with each other