PR Activity Model for Multimedia Communication in NS-2

2014 ◽  
pp. 324-339
Keyword(s):  
Multimedia Communication ◽  
Activity Model

High Speed Information Network Planning using Stochastic Optimization Method

2013 ◽  
Author(s):  
Ki-Sang Song ◽  
Arun K. Somani
Keyword(s):  
Stochastic Optimization ◽  
Network Design ◽  
Multimedia Information ◽  
High Speed ◽  
Minimum Cost ◽  
Optimization Method ◽  
Multimedia Communication ◽  
Network Design Problem ◽  
Information Network ◽  
Traffic Characteristics

From the 1994 CAIS Conference: The Information Industry in Transition McGill University, Montreal, Quebec. May 25 - 27, 1994.Broadband integrated services digital network (B-ISDN) based on the asynchronous transmission mode (ATM) is becoming reality to provide high speed, multi bit rate multimedia communications. Multimedia communication network has to support voice, video and data traffics that have different traffic characteristics, delay sensitive or loss sensitive features have to be accounted for designing high speed multimedia information networks. In this paper, we formulate the network design problem by considering the multimedia communication requirements. A high speed multimedia information network design alogrithm is developed using a stochastic optimization method to find good solutions which meet the Quality of Service (QoS) requirement of each traffic class with minimum cost.

How Bad is it? – A Branching Activity Model to Estimate the Impact of Information Security Breaches

2013 ◽  
Author(s):  
Russell Cameron Thomas ◽  
Marcin Antkiewicz ◽  
Patrick Florer ◽  
Suzanne Widup ◽  
Matthew Woodyard
Keyword(s):  
Information Security ◽  
Activity Model ◽  
Security Breaches ◽  
The Impact

Assessment of Machine Learning-Based Audiovisual Quality Predictors

2021 ◽  
Vol 17 (2) ◽  
pp. 1-22
Author(s):  
Mythili K. ◽  
Manish Narwaria
Keyword(s):  
Machine Learning ◽  
Signal Processing ◽  
Quality Assessment ◽  
Computational Models ◽  
Model Development ◽  
Multimedia Communication ◽  
Current Approach ◽  
Learning Ability ◽  
Data Uncertainty ◽  
Attractive Alternative

Quality assessment of audiovisual (AV) signals is important from the perspective of system design, optimization, and management of a modern multimedia communication system. However, automatic prediction of AV quality via the use of computational models remains challenging. In this context, machine learning (ML) appears to be an attractive alternative to the traditional approaches. This is especially when such assessment needs to be made in no-reference (i.e., the original signal is unavailable) fashion. While development of ML-based quality predictors is desirable, we argue that proper assessment and validation of such predictors is also crucial before they can be deployed in practice. To this end, we raise some fundamental questions about the current approach of ML-based model development for AV quality assessment and signal processing for multimedia communication in general. We also identify specific limitations associated with the current validation strategy which have implications on analysis and comparison of ML-based quality predictors. These include a lack of consideration of: (a) data uncertainty, (b) domain knowledge, (c) explicit learning ability of the trained model, and (d) interpretability of the resultant model. Therefore, the primary goal of this article is to shed some light into mentioned factors. Our analysis and proposed recommendations are of particular importance in the light of significant interests in ML methods for multimedia signal processing (specifically in cases where human-labeled data is used), and a lack of discussion of mentioned issues in existing literature.

scholarly journals Virtual Multimedia Communication for Physical Distancing in Physical Education

2021 ◽  
Vol 1779 (1) ◽  
pp. 012016
Author(s):  
S Adi ◽  
Eki Aldapit ◽  
Andi Nova ◽  
Pratama Dharmika Nugraha ◽  
Yopi Hutomo Bhakti ◽  
...  
Keyword(s):  
Physical Education ◽  
Multimedia Communication

Using multimedia communication technologies in distance learning

1997 ◽  
Vol 29 (3) ◽  
pp. 6-7
Author(s):  
Tomás Robles ◽  
David Fernández ◽  
Encarna Pastor ◽  
Santiago Alamillo
Keyword(s):  
Distance Learning ◽  
Communication Technologies ◽  
Multimedia Communication
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