In this paper, we introduce a new approach to recognising typing behaviour (biometrics) from an arbitrary text in heterogeneous environments using the context of time series analytics. Our proposed method differs from previous work directed at understanding typing behaviour, which was founded on the idea of usage a feature vector representation to construct user profiles. We represent keystroke...

(1.1) θπ = ∑ w∈W awe wλ D for certain integers aw. We would like to compute these integers. There are several methods for doing this in the literature. First of all by the induced character formula [2, Theorem 5.7] one can reduce to the case of a discrete series representation. The most definitive algorithm for this case is due to Rebecca Herb [3]. This is combinatorial in nature, and is based ...

he purpose of this study is to demonstrate how we, especially children and adolescents, are influenced by the media; this issue had investigated by analyzing the representation of gender roles in the Game of Thrones Series. There were based on three social learning, socialization and cultivation theories. This research had done a quantitative content analysis. The variables included 20 gender a...

This study was conducted to evaluate the cultural contents and cultural elements represented in Vision (I & II) and Pre-University English (I & II). This study also aimed at determining if there were significant differences between these series in terms of cultural content and cultural element representation. To this end, the two ELT coursebook series were selected and analyzed based on Cortazz...

Let Z = G/Q be a complex flag manifold and let Go be a real form of G. Then the representation theory of the real reductive Lie group Go is intimately connected with the geometry of Go-orbits on Z. The open orbits correspond to the discrete series representations and their analytic continuations, closed orbits correspond to the principal series, and certain other orbits give the other series of...

and Applied Analysis 3 can identify segments of variable length. Also, the APCA algorithm is able to produce high quality approximations of a time series by resorting to solutions adopted in the wavelet domain. In SAX method, dimensionality of original time series is first reduced by applying PAA, then the PAA coefficients are quantized, and finally each quantization level is represented by a s...