Aurel Vlaicu University of Arad

About: Aurel Vlaicu University of Arad is a education organization based out in Arad, Romania. It is known for research contribution in the topics: Fuzzy logic & Fuzzy control system. The organization has 312 authors who have published 904 publications receiving 6727 citations. The organization is also known as: UAV & Universitatea „Aurel Vlaicu” din Arad.

E -learning tools for teaching and learning

Abstract: The impact of IT in real life is translated/moved also in education by “e-learning” that means the use of multimedia technologies and Internet or using the virtual learning environment. The tools for e-learning are very divers and must be known of the educators for using them in a proper way in a teaching and learning process, student-centred, for having at the end a real transformative learning process.

Stability analysis approach to a class of fuzzy controlled nonlinear time-varying systems

Abstract: A stability analysis approach a class of fuzzy controlled Single Input-Single Output nonlinear time-varying systems is proposed in the paper. The stability analysis is done in the sense of Lyapunov resulting in sufficient uniform asymptotic stability conditions to be used in the design of Takagi-Sugeno fuzzy logic controllers (FLCs). Use is made of quadratic positive definite Lyapunov function candidates. An illustrative example validates the stability analysis approach by the designing of the FLC to control a nonlinear plant.

On john dewey`s philosophy of education and its impact on contemporary education

Abstract: As revealed by the title, the study presents the pedagogic personality of John Dewey, who – in the author`s opinion – is the first great pedagogue after Comenius, and who changes both a vision and a mentality about the meaning of institutionalized education. The pragmatic character of J. Dewey`s pedagogic paradigm has brought restructuring in the American and European educational systems. Thus, they have switched from a mainly intellectualized (and theoretical) character to revaluing its applicative and practical aspects.

Supervised machine learning models based on support vector regression

Abstract: A vast majority of practically utilized machine methods in fact involve supervised learning techniques. In supervised learning, an algorithm is used to learn an approximate mapping function from the input variable x to the output y = f ( x ) so that when there is new input data, we can predict the output for that data. Support vector regression, which is derived from its parent version, is based on an optimization problem. The weights corresponding to each input sample in a training set are obtained. Variants such as least square support vector regression, twin support vector regression, and e-twin support vector regression are presented with a case study for each. In this chapter, such regression models are described in detail.

Erosion based Method for Quantification of Facial Palsy

Abstract: This paper presents a novel 3D face recognition method developed by means of erosion of a contractible topological space. The procedure was is involved in the quantification of facial palsy using pre-marked points. The recognition is done in two steps: in the first step a detection of the pre-marked mimic points on a human face is performed and in the second step the mutual distances between points are calculated. A procedure of deducing the mobility or the immobility of points and the amplitude of mimic points movement follows.