scholarly journals A Proposed Model for the Mutual Dependency Between QoE and QoS in Wireless Heterogeneous Networks

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Hasan F. Khazaal ◽  
Rawaa I. Farhan ◽  
Baraa I. Farhan ◽  
Haider Th. Salim ALRikabi ◽  
Tasos Dagiuklas ◽  
...  
Keyword(s):  
Heterogeneous Networks ◽  
User Satisfaction ◽  
Service Providers ◽  
Signal To Noise Ratio ◽  
Video Quality ◽  
Subjective Test ◽  
Proposed Model ◽  
Wireless Heterogeneous Networks

     Streaming of video over wireless heterogeneous networks coping with the problem of packet loss which affects the perceived video quality. The service providers usually use the Peak Signal to Noise Ratio PSNR as a metric measure for the quality of their provided service. So they use the quality of service QoS of the network as a sign on the quality of their presented service. The QoS deal with the objective tests of the provided service, which mean the measure of PSNR of the presented objects. The presented objects may not get the satisfaction of the network users due to many factors although that the PSNR of the used service is enough for presenting the service. Recently the service providers use the Quality of Experience QoE term which deal with the subjective test of the presented object (i.e. the user satisfaction measure). In this paper we propose a new model to identify the importance or the significance of the role of the QoE assessment for the service providers. To verify our proposed model we did a referendum for 55 participants in order to assess their judgment on the quality of some presented videos. The results of the referendum match the consideration of the proposed model.           

scholarly journals Adaptive Reservation of Network Resources According to Video Classification Scenes

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1949
Author(s):  
Lukas Sevcik ◽  
Miroslav Voznak
Keyword(s):  
User Satisfaction ◽  
Quality Evaluation ◽  
Spatial Information ◽  
Service Providers ◽  
Video Quality ◽  
Subjective Assessment ◽  
Video Sequences ◽  
Network Resources ◽  
Proposed Model

Video quality evaluation needs a combined approach that includes subjective and objective metrics, testing, and monitoring of the network. This paper deals with the novel approach of mapping quality of service (QoS) to quality of experience (QoE) using QoE metrics to determine user satisfaction limits, and applying QoS tools to provide the minimum QoE expected by users. Our aim was to connect objective estimations of video quality with the subjective estimations. A comprehensive tool for the estimation of the subjective evaluation is proposed. This new idea is based on the evaluation and marking of video sequences using the sentinel flag derived from spatial information (SI) and temporal information (TI) in individual video frames. The authors of this paper created a video database for quality evaluation, and derived SI and TI from each video sequence for classifying the scenes. Video scenes from the database were evaluated by objective and subjective assessment. Based on the results, a new model for prediction of subjective quality is defined and presented in this paper. This quality is predicted using an artificial neural network based on the objective evaluation and the type of video sequences defined by qualitative parameters such as resolution, compression standard, and bitstream. Furthermore, the authors created an optimum mapping function to define the threshold for the variable bitrate setting based on the flag in the video, determining the type of scene in the proposed model. This function allows one to allocate a bitrate dynamically for a particular segment of the scene and maintains the desired quality. Our proposed model can help video service providers with the increasing the comfort of the end users. The variable bitstream ensures consistent video quality and customer satisfaction, while network resources are used effectively. The proposed model can also predict the appropriate bitrate based on the required quality of video sequences, defined using either objective or subjective assessment.

Legal, Regulatory, and Institutional Framework of Water and Sanitation Services in the Eastern and Southern Africa Region

2021 ◽  
Author(s):  
Yvonne Magawa
Keyword(s):  
Southern Africa ◽  
Service Provision ◽  
Service Providers ◽  
Disease Outbreaks ◽  
Sanitation Services ◽  
Regulatory Cooperation ◽  
Development Goals ◽  
Eastern And Southern Africa

Deteriorating quality of service provision and disease outbreaks (such as cholera) led to the institution of water supply and sanitation (WSS) sector reforms in Eastern and Southern Africa region in the 1990s. The realization of the urgent need to improve the performance of the sector, especially as related to health impacts, resulted in the formulation of new policy and legal and institutional frameworks to reorganize the sector and establish regulators who could address networked and nonnetworked WSS systems. Regulators as policy implementers have the delicate role of balancing the interests of government, service providers, and consumers. Decision- makers continue to design, implement, and evaluate the outcomes associated with new frameworks. Regional regulatory cooperation can accelerate improvements in service provision to meet the United Nations Sustainable Development Goals through development of common frameworks and approaches for WSS that can be adapted to unique country situations.

scholarly journals A Novel Consistent Quality Driven for JEM Based Distributed Video Coding

Algorithms ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 130 ◽  
Author(s):  
Dinh Trieu Duong ◽  
Huy Phi Cong ◽  
Xiem Hoang Van
Keyword(s):  
Video Coding ◽  
Signal To Noise Ratio ◽  
Video Quality ◽  
Visual Quality ◽  
Low Complexity ◽  
Distributed Video Coding ◽  
Surveillance Systems ◽  
Promising Solution ◽  
Optimal Values

Distributed video coding (DVC) is an attractive and promising solution for low complexity constrained video applications, such as wireless sensor networks or wireless surveillance systems. In DVC, visual quality consistency is one of the most important issues to evaluate the performance of a DVC codec. However, it is the fact that the quality of the decoded frames that is achieved in most recent DVC codecs is not consistent and it is varied with high quality fluctuation. In this paper, we propose a novel DVC solution named Joint exploration model based DVC (JEM-DVC) to solve the problem, which can provide not only higher performance as compared to the traditional DVC solutions, but also an effective scheme for the quality consistency control. We first employ several advanced techniques that are provided in the Joint exploration model (JEM) of the future video coding standard (FVC) in the proposed JEM-DVC solution to effectively improve the performance of JEM-DVC codec. Subsequently, for consistent quality control, we propose two novel methods, named key frame quantization (KF-Q) and Wyner-Zip frame quantization (WZF-Q), which determine the optimal values of the quantization parameter (QP) and quantization matrix (QM) applied for the key and WZ frame coding, respectively. The optimal values of QP and QM are adaptively controlled and updated for every key and WZ frames to guarantee the consistent video quality for the proposed codec unlike the conventional approaches. Our proposed JEM-DVC is the first DVC codec in literature that employs the JEM coding technique, and then all of the results that are presented in this paper are new. The experimental results show that the proposed JEM-DVC significantly outperforms the relevant DVC benchmarks, notably the DISCOVER DVC and the recent H.265/HEVC based DVC, in terms of both Peak signal-to-noise ratio (PSNR) performance and consistent visual quality.

scholarly journals Considering the Dynamics of FDA Human Factors ValidationRequirement: Implications of Failure and Need to Ensure ProjectSuccess - A Conceptual Framework

2019 ◽  
Vol 8 (1) ◽  
pp. 234-247
Author(s):  
Katia M. Rojas ◽  
Nasser Sharareh ◽  
Leon Cosier ◽  
Daryl L. Santos
Keyword(s):  
Human Factors ◽  
Service Providers ◽  
Human Factors Engineering ◽  
Causal Loop Diagram ◽  
Common Goal ◽  
Product Success ◽  
Key Stakeholders ◽  
Feedback Structure

Recognizing the role of human factors engineering (HFE) in the development of medical devices and combination products that involve devices, the Food and Drug Administration (FDA) now requires human factors (HF) validations before market approval. Manufacturers are responsible for ensuring their products are safe and effective through the application of HFE. However, key stakeholders are still learning and developing capabilities to adapt to the regulatory component. Nonetheless, the lack of the corresponding HF capabilities hinders compliance with the FDA’s expectations, and though ultimate success. No known previous work has looked into FDA HF validation projects to assess the underlying factors and implications of failed submissions. Applying system dynamics (SD), a causal loop diagram (CLD) was developed. CLDs are useful for the exploration of the causal interactions among factors or variables, as well as the underlying feedback structure of a complex system. This work can serve to help manufacturers better understand the FDA’s HF requirement to enable overall product success. Further, with patient safety as a common goal, HF service providers (HFSPs) and regulators should be aware of the need to ensure the consistent quality of the HF element in premarket submissions.

scholarly journals A Hybrid QoS-QoE Estimation System for IPTV Service

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 585 ◽  
Author(s):  
Jaroslav Frnda ◽  
Jan Nedoma ◽  
Jan Vanus ◽  
Radek Martinek
Keyword(s):  
User Satisfaction ◽  
Service Providers ◽  
Subjective Evaluation ◽  
Video Quality ◽  
Internet Protocol ◽  
Point Of View ◽  
Packet Networks ◽  
Internet Service ◽  
National Regulation ◽  
Estimation System

The internet protocol television service (IPTV) has become a key product for internet service providers (ISP), offering several benefits to both ISP and end-users. Because packet networks based on internet protocol have not been prepared for time-sensitive services, such as voice or video, packet networks have had to adopt several mechanisms to secure minimal transmission standards in the form of data stream prioritization. There are two commonly used approaches for video quality assessment. The first approach needs an original source for comparison (full-reference objective metrics), and the second one requires observers for subjective evaluation of video quality. Both approaches are impractical in real-time transmission because it is difficult to transform an objective score into a subjective quality perception, and on the other hand, subjective tests are not able to be performed immediately. Since many countries worldwide put IPTV on the same level as other broadcasting systems (e.g., terrestrial, cable, or satellite), IPTV services are subject to regulation by the national regulation authority. This results in the need to prepare service qualitative criteria and monitoring tools capable of measuring end-user satisfaction levels. Our proposed model combines the principles of both assessment approaches, which results in an effective monitoring solution. Therefore, the main contribution of the created system is to offer a monitoring tool able to analyze the features extracted from the video sequence and transmission system and promptly translate their impact into a subjective point of view.

A Hybrid Heuristic for QoS Aware Matching of User's Job and Virtual Machines in Cloud Environment

2018 ◽  
Vol 11 (2) ◽  
pp. 88-109
Author(s):  
Devki Nandan Jha ◽  
Deo Prakash Vidyarthi
Keyword(s):  
Virtual Machines ◽  
Service Providers ◽  
Cloud Provider ◽  
Technological Advancement ◽  
Cloud Platform ◽  
Analytical Hierarchical Process ◽  
Hybrid Heuristic ◽  
Proposed Model

Cloud computing is a technological advancement that provides services in the form of utility on a pay-per-use basis. As the cloud market is expanding, numerous service providers are joining the cloud platform with their services. This creates an indecision amongst the users to choose an appropriate service provider especially when the cloud provider provisions diverse type of virtual machines. The problem becomes more challenging when the user has different jobs requiring specific quality of service. To address the aforementioned problem, this article applies a hybrid heuristic using College Admission Problem and Analytical Hierarchical Process for stable matching of the users' job with the cloud's virtual machines. The case study depicts the effectiveness of the proposed model.

scholarly journals Rail-based Public Transport Service Quality and User Satisfaction – A Literature Review

2020 ◽  
Vol 32 (3) ◽  
pp. 423-435 ◽  
Author(s):  
Ahmad Nazrul Hakimi Ibrahim ◽  
Muhamad Nazri Borhan ◽  
Nur Izzi Md. Yusoff ◽  
Amiruddin Ismail
Keyword(s):  
Service Quality ◽  
Customer Service ◽  
Public Transport ◽  
User Satisfaction ◽  
Traffic Congestion ◽  
Information Quality ◽  
Service Providers ◽  
Delphi Approach ◽  
Rail Travel

While rail-based public transport is clearly a more advanced and preferable alternative to driving and a way of overcoming traffic congestion and pollution problems, the rate of uptake for rail travel has remained stagnant as a result of various well-known issues such as that commuters either use a more reliable and comfortable alternative to get from A to B and/or that they are not satisfied with the quality of service provided. This study examined the factor of user satisfaction regarding rail-based public transport with the aim of discovering precisely what factors have a significant effect on the user satisfaction and uptake of rail travel. This was approached using both the Delphi approach and a thorough review of the current literature, focusing on a total of nine possible factors affecting passenger satisfaction with rail travel availability of service, accessibility of service, ticket or pass, punctuality, clarity of information, quality of customer service, comfort, safety, and image. Also discussed were 29 extra possible attributes and several measures that were implemented in various countries to increase the service quality. It was concluded that this review will provide valuable information for policymakers, researchers and service providers in terms of specifying the service factors most worth investigating if the quality of this crucial means of transport is to be raised.

A model for examining the role of the Internet of Things in the development of e-business

2019 ◽  
Vol 50 (1) ◽  
pp. 20-33 ◽  
Author(s):  
Babak Esmaeilpour Ghouchani ◽  
Susan Jodaki ◽  
Maryam Joudaki ◽  
Alireza Balali ◽  
Lila Rajabion
Keyword(s):  
Internet Of Things ◽  
Operating Cost ◽  
The Internet ◽  
Content Type ◽  
Proposed Model ◽  
It Knowledge ◽  
The Internet Of Things ◽  
Security Of Iot

Purpose Nowadays, the Internet of Things (IoT) offers new intelligent services and business model opportunities by extending the internet connectivity into physical devices and daily objects. Recently, this technology has had a deep impact on all the aspects of human societies from industry to management and business. Therefore, the purpose of this paper is to predict the impact of using IoT services on the development of electronic business (e-business). Design/methodology/approach For evaluating the model’s elements, a questionnaire was designed. It was revised by experts with significant experiences. For statistical analysis, SmartPLS 3.2 is used. Findings The findings have confirmed the validity of the proposed model. The results also have indicated that the quality of IoT services (scalability, availability, reliability and ease of use), security of IoT services (trust, reputation, privacy and encryption) and IT knowledge of users (usage skills, awareness, experience and accuracy) have a positive and significant impact on development of e-business. Furthermore, the obtained results have revealed that the operating cost of IoT services (transmission time, storage capacity, functionality and stability) is significantly influenced by the development of e-business. Research limitations/implications By capturing a number of important factors in the proposed model, this study can provide a significant theoretical influence for researchers in the related area of interest. In fact, this study provides a worthwhile direction by assessing e-business performance, which, so far, has not been well assessed in many developing countries. Practical implications From a practical perspective, the statistical results support the crucial role of the following factors: quality of IoT services, the security of IoT services, operating cost of IoT services and IT knowledge of users. Hence, aspects relating to these factors must be the focus of attention of any organization in their endeavor to development of e-business. Originality/value This study meaningfully contributes to the knowledge and literature by focusing more on development e-business and IoT as original technology for further understanding, investigating other important features and applying advanced statistical analyses technique. By doing so, this study was able to develop the current understanding regarding the main aspects of development e-business and IoT services.

scholarly journals Evaluation of objective video quality assessment methods on video sequences with different spatial and temporal activity encoded at different spatial resolutions

2021 ◽  
Vol 12 (1) ◽  
pp. 1-9
Author(s):  
Jelena Vlaović ◽  
Drago Žagar ◽  
Snježana Rimac-Drlje ◽  
Mario Vranješ
Keyword(s):  
Quality Assessment ◽  
Signal To Noise Ratio ◽  
Video Quality ◽  
Similarity Index ◽  
Structural Similarity ◽  
Video Sequences ◽  
Large Set ◽  
Signal To Noise ◽  
Structural Similarity Index

With the development of Video on Demand applications due to the availability of high-speed internet access, adaptive streaming algorithms have been developing and improving. The focus is on improving user’s Quality of Experience (QoE) and taking it into account as one of the parameters for the adaptation algorithm. Users often experience changing network conditions, so the goal is to ensure stable video playback with satisfying QoE level. Although subjective Video Quality Assessment (VQA) methods provide more accurate results regarding user’s QoE, objective VQA methods cost less and are less time-consuming. In this article, nine different objective VQA methods are compared on a large set of video sequences with various spatial and temporal activities. VQA methods used in this analysis are: Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), MultiScale Structural Similarity Index (MS-SSIM), Video Quality Metric (VQM), Mean Sum of Differences (DELTA), Mean Sum of Absolute Differences (MSAD), Mean Squared Error (MSE), Netflix Video Multimethod Assessment Fusion (Netflix VMAF) and Visual Signal-to-Noise Ratio (VSNR). The video sequences used for testing purposes were encoded according to H.264/AVC with twelve different target coding bitrates, at three different spatial resolutions (resulting in a total of 190 sequences). In addition to objective quality assessment, subjective quality assessment was performed for these sequences. All results acquired by objective VQA methods have been compared with subjective Mean Opinion Score (MOS) results using Pearson Linear Correlation Coefficient (PLCC). Measurement results obtained on a large set of video sequences with different spatial resolutions show that VQA methods like SSIM and VQM correlate better with MOS results compared to PSNR, SSIM, VSNR, DELTA, MSE, VMAF and MSAD. However, the PLCC results for SSIM and VQM are too low (0.7799 and 0.7734, respectively), for the usage of these methods in streaming services instead of subjective testing. These results suggest that more efficient VQA methods should be developed to be used in streaming testing procedures as well as to support the video segmentation process. Furthermore, when comparing results obtained for different spatial resolutions, it can be concluded that the quality of video sequences encoded at lower spatial resolutions in cases of lower target coding bitrate is higher compared to the quality of video sequences encoded at higher spatial resolutions at the same target coding bitrate, particularly when video sequences with higher spatial and temporal information are used.

scholarly journals Evaluation of Video Quality in Wireless Multimedia Sensor Networks

2016 ◽  
Vol 6 (1) ◽  
pp. 223
Author(s):  
Mustafa Shakir ◽  
Obaid Ur Rehman ◽  
Zeeshan Abbas ◽  
Abdullah Masood ◽  
Wajeeha Shahid
Keyword(s):  
Sensor Networks ◽  
Signal To Noise Ratio ◽  
Video Quality ◽  
Discrete Event ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
Opinion Score ◽  
Different Types ◽  
Multimedia Transmissions

<p class="Default">Simulating wireless sensor networks; there implementation and evaluation, require the use of a discrete event simulator. Omnet++ is quite a powerful simulator which supports concise and easy modeling of wired as well as wireless sensors environment. Scenarios involving multimedia transmissions with characteristics of video quality control and evaluation must be computed on the basis of Quality of Experience which relies on user’s perception to maintain the video quality. For the multimedia growth and awareness of future WMSNs, it is quite necessary that the performance should be tested for different types of radio models. So varying the radio parameters may allow for the optimization and improvement of the video quality. In this paper we have provided a test bench for the easy evaluation and optimization of the performance of WMSNs using different radio models. The performance is evaluated based on the QoE metrics; i.e. PSNR(Peak Signal-to-Noise ratio) and MoS(Mean Opinion Score), which depend on user’s perception to maintain the video quality.</p>

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