the present study was conducted to compare the effect of individual and group pre-task planning on efl learners’ accuracy and complexity in speaking. to fulfill the purpose of the study, 60 intermediate female learners at the first grade of high school were chosen by means of a sample preliminary english test (pet) and randomly divided into two experimental groups of 30 students; the individual...

This paper summarizes a model of interaction for CVEs inspired by the process followed in human communication in the real world, detailing both the main elements and the communication process itself. The model proposed copies some properties of the real world communication but also allows the easy integration of Task Analysis to the design of CVEs, helping the developer in the design of the app...

In this study, a Multi-Objective Genetic Algorithm (MOGA) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear Multi-input Multi-output (MIMO) systems. In the process of non- linear system identi cation, structure selection, parameter estimation, model performance and model validation are important objectives. Furthermore, se- curing low-level and high-level ...

Slope stability analysis is an enduring research topic in the engineering and academic sectors. Accurate prediction of the factor of safety (FOS) of slopes, their stability, and their performance is not an easy task. In this work, the adaptive neuro-fuzzy inference system (ANFIS) was utilized to build an estimation model for the prediction of FOS. Three ANFIS models were implemented including g...

This paper considers the problem of designing static-state feedback laws for output regulation of square affine nonlinear systems. The approach taken is to use input-output decoupling techniques to simplify the output regulation task into separate single-input single-output regulation tasks. In the case where the input-output decoupling matrix is full-rank, this approach yields the well-known i...

Continuous emotion recognition (CER) is a task which requires the prediction of time series emotional parameter outputs corresponding to query time series inputs given training data in the form of matched pairs of input and output time series. In order to address this task, it is important to be able to model not only relationships between points in the input and output spaces, but also tempora...

Abstract This paper studies the impact of automation shocks on technological-knowledge level, skill premium (or wage inequality), real prices, output, and economic growth. To highlight mechanisms, we devise a task-based direct technical change model that allows us to analyze determinants threshold task, relative output prices between sectors, intra- inter-sectoral differences, polarization grow...