A study of H.263 traffic modeling in multipoint videoconference sessions over IP networks

Estimation of Modelling Parameters for H.263-Quantized Video Traces

“…With reference to this figure, it is observed that the moments matching method fails to meet the characteristics of the sample's histogram (approximately divergent results hold for the other movies too in c-vbr mode). This phenomenon was also presented in [22,31] where H.261 and H.263 videoconference traffic in multipoint sessions was analysed. In both studies, due to rate constraints imposed by a video server (multipoint control units/gatekeepers), the video traffic exhibited similar characteristics.…”

“…Then, following the fluid-flow approach via the Continuous Markov Chain model C-DAR model [29,30], we calculated the buffer size distribution in a single-server queueing scenario with a common traffic intensity equal to 0.85. This method is analytically described in a previous study [31] (see Section 3.3) where the important literature references are also presented. More explicitly, we consider a single-server queueing system fed by video traffic as a Markov modulated rate process with a finite number of states and transition rate matrix from the C-DAR model using the infinite buffer assumption.…”

Causes of stress on children with ADHD and the role of ICTs

“…The incorporation of digital technologies in education domain is very productive and successful, facilitates and improves the educational procedures and in parallel improves stress levels of the students, via Mobiles [22][23][24][25][26][27][28], various ICTs applications [29][30][31][32][33][34][35][36], AI & STEM [37][38][39][40][41], and games [42][43][44][45][46] Additionally the combination of ICTs with theories and models of metacognition, mindfulness, meditation and emotional intelligence cultivation [46][47][48] accelerates and improves more over the educational practices, the ability of stress control of the students and ADHD symptoms.…”