A path prediction model to support mobile multimedia streaming

2012 ◽  
Author(s):  
Apollinaire Nadembega ◽  
Abdelhakim Hafid ◽  
Tarik Taleb
Keyword(s):  
Prediction Model ◽  
Multimedia Streaming ◽  
Mobile Multimedia ◽  
Path Prediction

scholarly journals Mobile multimedia streaming techniques: QoE and energy saving perspective

2015 ◽  
Vol 16 ◽  
pp. 96-114 ◽  
Author(s):  
Mohammad Ashraful Hoque ◽  
Matti Siekkinen ◽  
Jukka K. Nurminen ◽  
Mika Aalto ◽  
Sasu Tarkoma
Keyword(s):  
Energy Saving ◽  
Multimedia Streaming ◽  
Mobile Multimedia

scholarly journals RETRACTED ARTICLE: COMPANY FINANCIAL PATH ANALYSIS USING FUZZY C-MEANS AND ITS APPLICATION IN FINANCIAL FAILURE PREDICTION

2018 ◽  
Vol 19 (1) ◽  
pp. 213-234 ◽  
Author(s):  
Jiaming LIU ◽  
Chong WU
Keyword(s):  
Prediction Model ◽  
Prediction Models ◽  
Failure Prediction ◽  
Research Field ◽  
Support Vector ◽  
Type I ◽  
Financial Status ◽  
Fuzzy C Means ◽  
Financial Failure ◽  
Path Prediction

This study investigates the dynamic process of the company’s financial status over years and proposes to design financial path using fuzzy c-means (FCM) approach. FCM is firstly used to quantize company financial paths of behavior over consecutive years. Financial paths are deployed to depict different patterns of failure and to understand the dynamics of financial failure. Then financial failure prediction model is built based on the proposed financial path (FP) approach. Empirical experiment is carried out with data samples of Chinese listed companies. Through analyzing financial path, it is found that there are mainly four patterns of process to terminal failure. Besides, in order to validate the prediction performance of the financial path prediction model, four prevalent financial failure prediction models, logistic regression (LR), support vector machine (SVM), decision tree (DT), and neural network (NN), are deployed to compare with the proposed model respectively. Experimental results show that FP has significantly better financial failure performance than other four models in terms of accuracy, type I error, and type II error. Therefore, the financial path monitors the change of financial status and acts as a prediction tool for financial failure prediction, which is a significant determinant of the financial success. Managers can recognize the financial failure signal in advance and understand their evolution trend on the future. In addition, the financial path prediction model is also an effective supplement to the research field of financial failure analysis and prediction.

3GPP Mobile Multimedia Streaming Standards [Standards in a Nutshell

2010 ◽  
Author(s):  
Frederic Gabin ◽  
Markus Kampmann ◽  
Thorsten Lohmar ◽  
Clinton Priddle
Keyword(s):  
Multimedia Streaming ◽  
Mobile Multimedia
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