We report performance measures for lexical decision (LD), word naming (NMG), and progressive demasking (PDM) for a large sample of monosyllabic monomorphemic French words (N = 1,482). We compare the tasks and also examine the impact of word length, word frequency, initial phoneme, orthographic and phonological distance to neighbors, age-of-acquisition, and subjective frequency. Our results show...

Objective We tested the claim that age-related increases in knowledge interfere with word retrieval, leading to word finding failures. We did this by relating a measure of crystallized intelligence to tip-of-the-tongue (TOT) states and picture naming accuracy. Method Participants were from a large (N = 708), cross-sectional (aged 18-88 years), population-based sample from the Cambridge Cent...

abstract objective: this study aimed to present a descriptive analysis of the responses given by two-and-a-half year-old farsi-speaking children to the “persian picture naming test” carried out on a statistically significant sample of subjects. materials and methods: 60 two-and-a-half-year-old children were chosen from 32 kindergartens through multiple cluster sampling method and then evaluated...

Number and picture rapid automatized naming (RAN) tests are useful sideline diagnostic tools. The main outcome measure of these RAN is the completion time, which prolonged with a concussion, yet yields no information about eye movement behavior. We investigated movements during digitized Mobile Universal Lexicon Evaluation System (MULES) test naming. A total 23 participants history concussion 5...

The cognitive predictors (i.e.,Phonological Awareness, and Rapid Automatized Naming) underlying reading achievement have not been researched in Iranian partial English immersion and non-immersion programs. The present study sought to investigate the relationship between English and Persian Phonological Awareness (PA), Rapid Autamatized Naming (RAN) and reading achievementof Iranian students in ...

in this paper, we propose a novel method for fully automatic detection and tracking of human heads and faces in video sequences. the proposed algorithm consists of two modules: a face detection module and a face tracking module. the detection module, detects the face region and approximates it with an ellipse at the first frame using a modified version of adaboost cascaded classifier. the detec...

this paper introduces a technique for controlling a class of uncertain chaotic systems using an adaptive fuzzy proportional-integrator-derivative (pid) controller with h∞ tracking performance. the purpose of this work is to achieve optimal tracking performance of the controller using backtracking search algorithm (bsa). bsa, which is a novel heuristic algorithm, has an easy structure with singl...

In this article we provide an overview of color name applications in computer vision. Color names are linguistic labels which humans use to communicate color. Computational color naming learns a mapping from pixels values to color names. In recent years color names have been applied to a wide variety of computer vision applications, including image classification, object recognition, texture cl...

In high dynamic conditions, using vector tracking loops instead of scalar tracking loops in GPS receivers is proved as an efficient method to compensate the performance. The Minimum Mean Squared Error detector as a multiuser detector is applied in the vector tracking loop for more reliability and efficiency. The Kalman filter does the two tasks of tracking and extracting the navigation data aft...