An ergonomics virtual human is built, which is a unified framework made up of biomechanics/physiology-based model, anthropometrical model, posture and motion model, task model, human reactions and decision-making model and human factor analysis model.
A comprehensive organisational framework made up of two or more local partnering agencies working towards a common objective of ensuring the physical and social development of young children.
In this paper, we develop a discrete time, state variable feedback control regime to analyze the closed-loop properties associated with stabilizing the global mean surface temperature anomaly at 2 °C within a sequential decision making framework made up of 20 year review periods beginning in 2020.
Although Framework makes up only 5% of European science funding--national agencies pay the lion's share--the massive program sums up the challenge of weaving the research communities of the member states into a cohesive whole.
A list accommodates a whole lot of thinking and wanting and deciding in a framework made of not many words.
The bioconstruction framework is made up by the intergrowth of Dendropoma and encrusting coralline algae, mostly Spongites fruticulosus with rare Neogoniolithon brassica-florida.
The making up of this integrated framework has rendered possible to retrace and identify general evolutionary patterns for terrestrial communities such as mammalian herbivores [ 6].
This framework is made up of smart appliance module, appliance integrity module, mandatory access control framework, and appliance integrity protection framework.
The methodological framework defines the phases to be carried out when applying the method, whilst the conceptual framework is made up of the meta-models used in the method and the transformation processes established between them.
The framework is made up of different modules that modify the behavior of the group thus allowing different functions.
This multi-classifier framework is made up of support vector machine (SVM), random forest (RF), and sparse multinomial logistic regression via variable splitting and augmented Lagrangian (LORSAL) classifiers, considering their complementary characteristics.
