This article shows the application of Item Response Theory (IRT) for educational evaluation using games. The article proposes a computational model to create user profiles, called Psychometric Profile Generator (PPG). PPG uses the IRT mathematical model for exploring the levels of skills and behaviors in the form of items and/or stimuli. The model was integrated with an educational game. The ga...

Using the results of a representative survey for the city of Stuttgart, household load-curves are simulated through an agent-based modelling approach. Aggregated household load-curves for different lifestyle groups are presented and the effect of their corresponding behavioral profiles on the residential load-curve is evaluated.

abstract the coupled modflow-hydrus software package was used to produce a saturated-unsaturated flow model for a flood spreading system (fss) and its associated aquifer. the study aim to improve simulations of near-surface hydrological processes, including temporal and spatial variation in groundwater recharge rates. the coupled model was built with average rmse=1.1 and 1.3 for calibration and...

in many industrial and non-industrial applications the quality of a process or product is characterized by a relationship between a response variable and one or more explanatory variables. this relationship is referred to as profile. in the past decade, profile monitoring has been extensively studied under the normal response variable, but it has paid a little attention to the profile with the ...

The study of evolutionary quantitative genetics has been advanced by the use of methods developed in animal and plant breeding. These methods have proved to be very useful, but they have some shortcomings when used in the study of wild populations and evolutionary questions. Problems arise from the small size of data sets typical of evolutionary studies, and the additional complexity of the que...

Recommendation Systems are tools designed to help users to find items within a given domain, according to their own preferences expressed by means of a user profile. A general model for recommendation systems based on probabilistic graphical models is proposed in this paper. It is designed to deal with hierarchical domains, where the items can be grouped in a hierarchy, each item being only con...

We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential aspects of a model selection task by the bias and variance profiles it generates over the sequence of hypothesis classes. With this view, we develop a new understanding of complexity-penalization methods: First, the penalty terms can be interpreted as postul...

in this paper, optimization and control of a tubular reactor for thermal bulk post-polymerization of styrene have been investigated. by using the reactor mathematical model, static and dynamic simulations are carried out. based on an objective function including polymer conversion and polydispersity, reactor optimal temperature profile has been obtained. in the absence of model mismatch, desire...

Requirements engineering and software reliability engineering both involve model building related to the usage of the intended system; requirements models and test case models respectively are built. Use case modelling for requirements engineering and operational profile testing for software reliability engineering are techniques which are evolving into software engineering practice. In this pa...