Search results for "Off"

Parents' role in adolescents' educational expectations

2012

The present study examined the extent to which mothers' and fathers' expectations for their offspring's future education, their level of education, and adolescents' academic achievement predict adolescents' educational expectations. To investigate this, 230 adolescents were examined twice while they were in comprehensive school (in the 7th and 9th grades). Their parents also filled in questionnaires at the same time points. The results showed that high parental expectations concerning their offspring's future education predicted high educational expectations among adolescents and they became more similar in the 9th grade compared to 7th grade. Parents' high level of education predicted both…

Quel est le traitement réservé par le juge à un compte de campagne assorti d'un solde positif ne provenant pas de l'apport personnel de candidats ?

2023

Efficient formulation of a two-noded geometrically exact curved beam element

2021

The article extends the formulation of a 2D geometrically exact beam element proposed by Jirasek et al. (2021) to curved elastic beams. This formulation is based on equilibrium equations in their integrated form, combined with the kinematic relations and sectional equations that link the internal forces to sectional deformation variables. The resulting first-order differential equations are approximated by the finite difference scheme and the boundary value problem is converted to an initial value problem using the shooting method. The article develops the theoretical framework based on the Navier-Bernoulli hypothesis, with a possible extension to shear-flexible beams. Numerical procedures …

On the propagation of error in certain non-linear algorithms

1959

Adaptive Service Offloading for Revenue Maximization in Mobile Edge Computing With Delay-Constraint

2019

Mobile Edge Computing (MEC) is an important and effective platform to offload the computational services of modern mobile applications, and has gained tremendous attention from various research communities. For delay and resource constrained mobile devices, the important issues include: 1) minimization of the service latency; 2) optimal revenue maximization; 3) high quality-of-service (QoS) requirement to offload the computational service offloading. To address the above issues, an adaptive service offloading scheme is designed to provide the maximum revenue and service utilization to MEC. Unlike most of the existing works, we consider both the delay-tolerant and delay-constraint services i…

Data offloading and task allocation for cloudlet-assisted ad hoc mobile clouds

2016

Nowadays, although the data processing capabilities of the modern mobile devices are developed in a fast speed, the resources are still limited in terms of processing capacity and battery lifetime. Some applications, in particular the computationally intensive ones, such as multimedia and gaming, often require more computational resources than a mobile device can afford. One way to address such a problem is that the mobile device can offload those tasks to the centralized cloud with data centers, the nearby cloudlet or ad hoc mobile cloud. In this paper, we propose a data offloading and task allocation scheme for a cloudlet-assisted ad hoc mobile cloud in which the master device (MD) who ha…

Numerical and experimental analysis of a high innovative hydrofoil

2020

The hydrofoil is a craft where the weight is entirely supported by the lift generated by the submerged part of wings. The particular structure of the craft requires a thorough study of the architecture of the hull, whose structure differs from others high speed vessels since the lift on wing surfaces are transmitted to the hull in limited areas (wing attacks). The authors have developed a research to optimize geometry of hull and wing system on a hydrofoil capable to carry 250 passengers at a speed of 35 knots, operating among Sicilian island. The principal goals of the new hydrofoil concern both the fuel reduction that the improvement of the comfort in terms of seakeeping and levels of aco…

The Role of Employees’ Work Patterns and Office Type Fit (and Misfit) in the Relationships Between Employee Well-Being and Performance

2018

Nearly half of workers agree that their workspace is unsuitable for their work tasks. Furthermore, it is assumed that happy workers often perform better than unhappy ones. Nevertheless, due to the effect of the emotional-cognitive processes, the misfit between employees’ office type and their work patterns (complexity and interactivity) may hamper this relationship between well-being and performance. This diary study on 83 office workers ( n = 603 time points) combines information about work patterns identified by using cluster analysis with Neufert’s office type classification. Results show that the work pattern–office type (mis)fit moderates the relationship between well-being and perfor…

Register data in sample allocations for small-area estimation

2018

The inadequate control of sample sizes in surveys using stratified sampling and area estimation may occur when the overall sample size is small or auxiliary information is insufficiently used. Very small sample sizes are possible for some areas. The proposed allocation based on multi-objective optimization uses a small-area model and estimation method and semi-collected empirical data annually collected empirical data. The assessment of its performance at the area and at the population levels is based on design-based sample simulations. Five previously developed allocations serve as references. The model-based estimator is more accurate than the design-based Horvitz–Thompson estimator and t…

Computational Offloading in Mobile Edge with Comprehensive and Energy Efficient Cost Function: A Deep Learning Approach

2021

In mobile edge computing (MEC), partial computational offloading can be intelligently investigated to reduce the energy consumption and service delay of user equipment (UE) by dividing a single task into different components. Some of the components execute locally on the UE while the remaining are offloaded to a mobile edge server (MES). In this paper, we investigate the partial offloading technique in MEC using a supervised deep learning approach. The proposed technique, comprehensive and energy efficient deep learning-based offloading technique (CEDOT), intelligently selects the partial offloading policy and also the size of each component of a task to reduce the service delay and energy …