scholarly journals Network Traffic Type-Based Quality of Experience (QoE) Assessment for Universal Services

2019 ◽  
Vol 9 (19) ◽  
pp. 4107 ◽  
Author(s):  
Zheng Xu ◽  
Anguo Zhang
Keyword(s):  
Network Traffic ◽  
Quality Of Experience ◽  
Quality Measurement ◽  
Difficult Problem ◽  
Network Services ◽  
Data Services ◽  
Machine Learning Model ◽  
Rate Experiment ◽  
Almost All

Nowadays, more and more online content providers are offering multiple types of data services. To provide users with a better service experience, Quality of Experience (QoE) has been widely used in the delivery quality measurement of network services. How to accurately measure the QoE score for all types of network services has become a meaningful but difficult problem. To solve this problem, we proposed a unified QoE scoring framework that measures the user experience of almost all types of network services. The framework first uses a machine learning model (random forest) to classify network services, then selects different nonlinear expressions based on the type of service and comprehensively calculates the QoE score through the Quality of Service (QOS) metrics including transmission delay, packet loss rate, and throughput rate. Experiment results show that the proposed method has the ability to be applied on almost all the types of network traffic, and it achieves better QoE assessment accuracy than other works.

Improving quality of experience for network services [Guest Editorial

IEEE Network ◽  
2010 ◽  
Vol 24 (2) ◽  
pp. 4-6 ◽  
Author(s):  
Jahan Hassan ◽  
Sajal Das ◽  
Mahbub Hassan ◽  
Chatschik Bisdikian ◽  
David Soldani
Keyword(s):  
Quality Of Experience ◽  
Guest Editorial ◽  
Network Services

scholarly journals Quality of Experience Measurement for Video Streaming Based On Adaptive Neural Fuzzy Inference System

2019 ◽  
pp. 1609-1617
Author(s):  
Rana Fareed Ghani ◽  
Amal Sufiuh Ajrash
Keyword(s):  
Video Streaming ◽  
Fuzzy Inference System ◽  
Quality Of Experience ◽  
Fuzzy Inference ◽  
Technological Development ◽  
Video Quality ◽  
Quality Measurement ◽  
Inference System ◽  
Neural Fuzzy

Technological development in recent years leads to increase the access speed in the networks that allow a huge number of users watching videos online. Video streaming is one of the most popular applications in networking systems. Quality of Experience (QoE) measurement for transmitted video streaming may deal with data transmission problems such as packet loss and delay. This may affect video quality and leads to time consuming. We have developed an objective video quality measurement algorithm that uses different features, which affect video quality. The proposed algorithm has been estimated the subjective video quality with suitable accuracy. In this work, a video QoE estimation metric for video streaming services is presented where the proposed metric does not require information on the original video. This work predicts QoE of videos by extracting features. Two types of features have been used, pixel-based features and network-based features. These features have been used to train an Adaptive Neural Fuzzy Inference System (ANFIS) to estimate the video QoE. 

On the profitability and errors of predicted prices from deep learning via program trading

2020 ◽  
Vol 24 (5) ◽  
pp. 1161-1173
Author(s):  
Lichen Tai ◽  
Chihcheng Hsu
Keyword(s):  
Deep Learning ◽  
Crude Oil ◽  
Quality Measurement ◽  
Model Assessment ◽  
Error Measurement ◽  
Learning Models ◽  
High Positive Correlation ◽  
Predicted Values ◽  
Almost All

Researches on using deep learning models to predict prices usually take magnitude-based error measurements (such as R2) to measure the quality of learning models. Whether the forecasted prices for the models with the lowest error measurement can produce the most profit in actual trading is an issue with little research. In this study, we first find the parameter sets of LSTM and TCN models with low magnitude-based error and then use program trading to find out their profitability. The relationships between these profitability and error measurements are analyzed and studied on three commodities: gold, soybean, and crude oil (from GLOBEX). Our findings are: with given parameter sets, if merchandise (gold and soybean) is of low averaged magnitude error, then its profitability is more stable. If it is of a more significant magnitude error (crude oil), then its profitability is unstable. A high positive correlation does not exist between the profitability and error measurement, and TCN outperforms LSTM in almost all our examples. Our research indicates that, in assessing the performance of deep learning, how to use the predicted values in applications and the application results could also be part of the quality measurement for the model assessment in the learning.

Physicochemical and bacteriological characterization of hospital effluents and their impact on the environment

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Human Health ◽  
Fecal Coliforms ◽  
Chemical Pollution ◽  
Hospital Effluents ◽  
Biological Contaminants ◽  
Almost All ◽  
Direct Discharge ◽  
Significant Chemical

Liquid effluents discharged by hospitals may contain chemical and biological contaminants whose main source is the different substances used for the treatment of patients. This type of rejection can present a sanitary potentially dangerous risk for human health and can provoke a strong degradation of diverse environmental compartments mainly water and soils. The present study focuses on the quality of the liquid effluents of Hassani Abdelkader’s hospital of Sidi Bel-Abbes (West of Algeria). The results reveal a significant chemical pollution (COD: 879 mgO2/L, BOD5: 850 mgO2/L, NH4+ : 47.9 mg/l, NO2- : 4.2 mg/l, NO3- : 56.8 mg/l with respect to WHO standard of 90 mgO2/L, 30 mgO2/L, 0.5 mg/l, 1 mg/l and 1 mg/l respectively). However, these effluents are biodegradable since the ratio COD/BOD5 do not exceeded the value of 2 in almost all samples. The presence of pathogen germs is put into evidence such as pseudomonas, the clostridium, the staphylococcus, the fecal coliforms and fecal streptococcus. These results show that the direct discharge of these effluents constitutes a major threat to human health and the environment.

Urban stormwater: the analysis of the failure of the alternative techniques and the management of quality

1995 ◽  
Vol 32 (1) ◽  
pp. 33-39
Author(s):  
E. Alfakih ◽  
S. Barraud ◽  
Y. Azzout ◽  
B. Chocat
Keyword(s):  
Stormwater Management ◽  
Difficult Problem ◽  
Management Approach ◽  
Alternative Technique ◽  
Urban Stormwater ◽  
Urban Stormwater Management ◽  
Porous Pavement ◽  
Alternative Techniques ◽  
Design Construction

The implementation of alternative techniques in urban stormwater management is a difficult problem in terms of choice, design, construction, and operating. We applied a quality management approach to try and have a better understanding of these techniques. The quality of an alternative technique in urban stormwater management is defined; the factors that lead to failures were identified and analysed. In order to reduce these factors, tools were developed, and measures that allow the achievement of the necessary standard of quality are suggested. In this article, all the illustrations refer to the porous pavement technique.

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