One of the main challenges in affective computing is development models to represent information that inherent emotions. It necessary consider terms used by humans name emotions depend on culture and language used. This article presents an experiment-based method adapt emotion different cultural environments. We propose using circular boxplots analyze distribution Pleasure-Arousal space. From r...

We study a percolation model on the square lattice, where clusters “freeze” (stop growing) as soon as their volume (i.e. the number of sites they contain) gets larger than N , the parameter of the model. A model where clusters freeze when they reach diameter at least N was studied in [14, 6]. Using volume as a way to measure the size of a cluster – instead of diameter – leads, for large N , to ...

ashworth and modified ashworth scales are the most widely used tests to assess the severity of muscle spasticity. these clinical scales offer qualitative and subjective information and consequently there are issues concerning reliability when two or more clinicians are involved in assessment of spasticity. this article presents the result of a study assessing inter-rater reliability of the orig...

Cluster analysis is a data mining technique used to identify hidden patterns within data. Most clustering algorithms treat different fields of data with equal weights and calculate the “distance” using the same method. They ignore the fact that different fields of data have different scales; therefore, the “distance” should be calculated differently. This study incorporated a traditional cluste...

Ss listened to a dichotic tonal sequence consisting of the repetitive presentation of the C major scale with successive tones alternating from ear to ear. The scale was presented simultaneously in both ascending and descending form, such that when a component of the ascending scale was in one ear, a component of the descending scale was in the other, and vice versa. All Ss channeled this sequen...

In reliability optimization problems diverse situation occurs due to which it is not always possible to get relevant precision in system reliability. The imprecision in data can often be represented by triangular fuzzy numbers. In this manuscript, we have considered different fuzzy environment for reliability optimization problem of redundancy. We formulate a redundancy allocation problem for a...

In this paper, we define the mathematical model of a tri-objective fuzzy agricultural food load planning problem, which is a blend of the multi-objective optimization, the multidimensional knapsack problem, and the multiple knapsack problem under fuzziness. For the imprecise model, profit and shelf life for each agricultural food product are fuzzified and represented by triangular fuzzy numbers...

In this paper, we present a new method for fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads. First, we present a new method for ranking generalized fuzzy numbers. The proposed method considers the defuzzified values, the heights and the spreads for ranking generalized fuzzy numbers. Based on the proposed method for ranking generalized f...

Moving particles that rest along their trajectory lead to time-fractional diffusion equations for the scaling limit distributions. For power law waiting times with infinite mean, the equation contains a fractional time derivative of order between 0 and 1. For finite mean waiting times, the most revealing approach is to employ two time scales, one for the mean and another for deviations from the...