SSCQE (Single Stimulus Continuous Quality Evaluation): A New Subjective Assessment Method Introduced in ITU-R Recommendation 500-7: Presentation and Results

1996 ◽  
Author(s):  
Thierry Alpert ◽  
Jean-Pierre Evain
Keyword(s):  
Quality Evaluation ◽  
Subjective Assessment ◽  
Assessment Method ◽  
Single Stimulus ◽  
Continuous Quality

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.

Video Objective Quality Evaluation System Based on the Visual Saliency Map

2013 ◽  
Vol 411-414 ◽  
pp. 1362-1367 ◽  
Author(s):  
Qing Lan Wei ◽  
Yuan Zhang
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Objective Assessment ◽  
Visual Saliency ◽  
Objective Evaluation ◽  
Subjective Assessment ◽  
Saliency Map ◽  
Assessment Scores ◽  
Objective Quality ◽  
Quality Evaluation System

This paper presents the thoughts about application of saliency map to the video objective quality evaluation system. It computes the SMSE and SPSNR values as the objective assessment scores according to the saliency map, and compares with conditional objective evaluation methods as PSNR and MSE. Experimental results demonstrate that this method can well fit the subjective assessment results.

scholarly journals CHEMICAL REACTIVITY ASSESSMENT METHOD OF NANOSTRUCTURED LOW CALCIUM ALUMINOSILICATES

2020 ◽  
pp. 5-11
Author(s):  
N. Kozhuhova ◽  
V. Strokova ◽  
R. Chizhov ◽  
M. Kozhuhova
Keyword(s):  
Compressive Strength ◽  
Quality Evaluation ◽  
Raw Materials ◽  
Chemical Reactivity ◽  
Assessment Method ◽  
Composite Systems ◽  
Low Calcium ◽  
Wide Range ◽  
High Alkali ◽  
Calcium Aluminosilicates

Nowadays, the production of high-performance composites is a relevant objective in construction industry. Normally, geological and/or technological conditions of phase formation are responsible for chemical and structural characteristics of raw materials. In this regard, the use of a certain material dictates terms to optimizing production process, efficient use and, therefore, requires to develop a method for quality evaluation of raw materials. This approach allows a considerable time saving and raw materials sources, while the evaluation of final performance characteristics of designed materials is being done. The biggest interest in this area is focused on new types of developed and poorly-studied composite systems which results in a lack of capacity to design materials with known performance and, therefore, constrains the areas of application of construction composites Among such composite systems there are zero cement alkali-aluminosilicate systems or geopolymers. For geopolymers production a wide range of different aluminosilicates with varied characteristics potentially can be used. And also, in each certain case, the quality evaluation methods for aluminosilicates should be different. This study is focused on chemical reactivity assessment method of crystalline (mainly, nanocrystalline) low calcium aluminosilicates exposed to high-alkali media. The solubility degree in high-alkali media and compressive strength performance were evaluated in this study in order to define chemical reactivity of low calcium aluminosilicates. The compressive strength data demonstrated a positive correlation with the crystallinity degree of aluminosilicates.

scholarly journals Haptic Interface with Twin-Driven MR Fluid Actuator for Teleoperation Endoscopic Surgery System

Actuators ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 245
Author(s):  
Takehito Kikuchi ◽  
Tetsumasa Takano ◽  
Akinori Yamaguchi ◽  
Asaka Ikeda ◽  
Isao Abe
Keyword(s):  
Endoscopic Surgery ◽  
Subjective Assessment ◽  
Assessment Method ◽  
Haptic Interface ◽  
Success Rates ◽  
Robot System ◽  
Mr Fluid ◽  
Actuation System ◽  
Haptic Control ◽  
Ferromagnetic Particles

Magnetorheological fluids (MRFs) are composite materials made of ferromagnetic particles, medium oils, and several types of additives. We have developed an actuation system for the fine haptic control of leader-follower robots. In this study, we developed a haptic interface with two link-type twin-driven MR fluid actuators and two MR fluid brakes for a teleoperation endoscopic surgery system and conducted evaluation tests for a remote operational task with a leader-follower robot system. For evaluations, we adopted the NASA-TLX questionnaire as a subjective assessment method. According to the experimental results, the total success rates were 0.462, 0.333, and 0.591, for the first haptic, middle no-haptic, and second haptic phases, respectively. The force information of the haptic forceps helped users to perceive grasping sensation on their fingers. Statistical analyses on the answers to the questionnaire indicate no significant differences. However, a decreasing tendency in the mental stress in the complicated manipulation tasks for fragile objects is observed.

scholarly journals The Impact of COVID-19 on Sleep in Autistic Adults: Longitudinal Comparisons pre and During Lockdown

2021 ◽  
Vol 12 ◽  
Author(s):  
Elizabeth J. Halstead ◽  
Emma C. Sullivan ◽  
Dagmara Dimitriou
Keyword(s):  
Mental Health ◽  
Sleep Problems ◽  
Subjective Assessment ◽  
Assessment Method ◽  
Cognitive Arousal ◽  
Societal Changes ◽  
Autistic Adults ◽  
Waking Up ◽  
And Coping ◽  
The Impact

Background: The longer-term impact of the pandemic on autistic adults' sleep are yet to be revealed, with studies concentrating on sleep in autistic children or mental health outcomes and coping strategies of autistic adults. Given the prevalence of sleep problems experienced by autistic adults and the changes in routine that have occurred as a result of COVID-19 societal restrictions, this study assessed the impact of the COVID-19 pandemic on sleep problems via a longitudinal subjective assessment method.Methods: Sleep data were gathered at three time points from 95 autistic adults, namely prior to the pandemic, at the start of COVID-19 and several months into COVID-19 to obtain a rich longitudinal dataset ascertaining how/if sleep patterns have changed in autistic adults over these several months.Results: In comparison to pre-lockdown, several sleep components were shown to improve during the lockdown. These improvements included reduced sleep latency (time taken to fall asleep), longer sleep duration, improved sleep efficiency, improved sleep quality, as well as improved daytime functioning. Pre-sleep cognitive arousal scores were found to decrease compared to pre-lockdown, meaning cognitive arousal improved. Approximately 65% of participants reported that they felt their sleep had been impacted since COVID-19 since Time 1, with the most common reasons reported as waking up exhausted (36.92%), not being able to get to sleep (33.85%), waking up in the night (29.23%), having a disrupted sleep pattern (27.69%), and nightmares (18.46%).Conclusions: Improvements in sleep may be related to societal changes (e.g., working from home) during the pandemic. Some of these changes are arguably beneficial for autistic adults in creating a more autism-inclusive society, for example telehealth opportunities for care. Further exploration of the associations between mental health and sleep are warranted.

scholarly journals Assessment of the students’ achievement of learning outcomes of radiological sciences program, Najran University experiment

2021 ◽  
Vol 14 (1) ◽  
pp. 129-136
Author(s):  
Soheir E. Mohamed
Keyword(s):  
Learning Outcomes ◽  
Teaching And Learning ◽  
Assessment Method ◽  
Project Work ◽  
Continuous Quality ◽  
Final Exams ◽  
Graduating Students ◽  
Academic Year ◽  
Direct And Indirect Methods

The present study was conducted to evaluate the achievement of undergraduate radiological sciences students of PLOs by the applied method in Radiological sciences, Najran University. The assessment of the program learning outcomes in department of radiological sciences, Najran University was conducted by direct and indirect methods and analysis the results of students’ achievement. The study was applied on 21 graduating students, batch of academic year 2019-2020 by applying Najran University model. Direct measurement was applied by linking of each PLO to exams questions on quizzes, midterm exams, final exams, project work and presentation. Indirect method was implemented based on surveys; exist, alumni and employers’ surveys. Najran University model is able to measure the achievement of PLOs and it supported by an indirect assessment method. The radiological sciences program highlights on the student outcomes for the graduate for continuous quality of the curriculum and teaching and learning process in future.

Vehicle Interior Sound Quality Evaluation Index Selection Scheme Based on Grey Relational Analysis

2020 ◽  
Vol 19 (03) ◽  
pp. 2050031
Author(s):  
Jian Pan ◽  
Xiaolin Cao ◽  
Dengfeng Wang ◽  
Jing Chen ◽  
Jiankun Yuan
Keyword(s):  
Grey Relational Analysis ◽  
Quality Evaluation ◽  
Hierarchical Cluster ◽  
Subjective Assessment ◽  
Sound Quality ◽  
Evaluation Index ◽  
Vehicle Interior ◽  
Selection Scheme ◽  
Relational Analysis ◽  
Grey Relational

In the process of vehicle interior sound quality research, the subjective assessment usually requires a lot of manpower, time and material resources. It is necessary to choose appropriate objective indexes to predict the subjective results. In this paper, a sound quality evaluation index analysis and selection scheme based on grey relational analysis (GRA) is designed. In order to make a reasonable prediction of the subjective indexes with the limited data, GRA of the objective indexes and subjective indexes is conducted. Because three subjective indexes are considered in our study, an indicator that can represent the three chosen subjective indexes is established for the subsequent analysis. Furthermore, the comprehensive ranking and the hierarchical cluster analysis (HCA) of the objective indexes are involved to make the selection of objective indexes easy and meaningful. Finally, the objective indexes are divided into five groups by HCA. According to the clustering results, four objective indexes including “fluctuation”, “sharpness”, “articulation index” and “roughness” are suitable for predicting and representing the subjective indexes to some degree. The scheme proposed in this paper lays the foundation for further optimization and control of vehicle interior sound quality. The method can also be applied to solve other similar multi-factor analysis and selection problems.

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