the present paper seeks to investigate the cognitive abilities of expert efl teachers. to this aim, the existing literature was examined and ten cognitive themes were derived which were further investigated through interviews conducted with ten academics, teacher trainers and exemplary teachers of the field in the iranian context. the ten extracted themes were attested by interviewees’ comments...

many researchers adopt local binary pattern for pattern analysis. however, the long histogram created by local binary pattern is not suitable for large-scale facial database. this paper presents a simple facial pattern descriptor for facial expression recognition. local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...

Based on the fundamental theory of visual cognition mechanism and cognitive psychology, a brief introduction about the visual pattern recognition model is presented in this paper. Three pattern recognition models, i.e., template-based matching model, prototype-based matching model and feature-based matching model are built and discussed separately. In addition, the influence of object backgroun...

Handwritten character recognition is one of the most challenging and ongoing areas of research in the field of pattern recognition. HCR research is matured for foreign languages like Chinese and Japanese but the problem is much more complex for Indian languages. The problem becomes even more complicated for South Indian languages due to its large character set and the presence of vowels modifie...

Cognitive pattern recognition regards computer as human brain and brings human beings' brain mechanism of information processing in computer to strengthen its pattern recognition intelligence, and is different from machine pattern recognition. The system structure of cognitive pattern recognition is proposed by studying the presentation of perceptive constancy, prototype matching and so on in t...

Cognitive performance modeling captures patterns of observable behavior that reflect the operation of underlying cognitive activities. These behavioral patterns can be linked to training requirements in order to derive automated measures of cognitive performance. We are currently developing the Team Coaching Assistant for SimulationBased Training (T-CAST), a cognitive performance modeling syste...

Cybernetics is concerned with describing complex interactions and interrelationships between systems which are omnipresent in our daily life. Machine Learning discovers fundamental functional relationships between variables and ensembles of variables in systems. The merging of the disciplines of Machine Learning and Cybernetics is aimed at the discovery of various forms of interaction between s...

An empirically based cognitive model of real-world decision making was implemented in Shruti, a system capable of rapid, parallel relational reasoning. The system effectively simulates a two-tiered strategy associated with proficient decisions makers: Recognitional or reflexive activation of expectations and associated responses, accompanied by an optional, recursive process of critiquing and c...