Quality Evaluation System of Oil-immersed Distribution Transformer Based on Big Data Technology

2020 ◽  
Author(s):  
Yuxin Yun ◽  
Chao Gu ◽  
Yingyue Zhu ◽  
Yue Tan ◽  
Shuting Chen ◽  
...  
Keyword(s):  
Big Data ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Distribution Transformer ◽  
Quality Evaluation System ◽  
Big Data Technology

scholarly journals Research on Higher Vocational Network Teaching Quality Evaluation System Based on Big Data Analysis

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Xue-yan Li
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Evaluation System ◽  
Online Teaching ◽  
Quality Evaluation ◽  
Teaching Quality ◽  
Big Data Analysis ◽  
Network Teaching ◽  
Quality Evaluation System ◽  
Big Data Technology

Internet technology has developed rapidly, and online teaching has become the development trend of teaching in higher vocational colleges, which is conducive to modern learning methods for students and innovative teaching models for teachers. However, online teaching is still in the preliminary stage of development, and there is no unified standard for teaching quality evaluation. For this reason, big data technology can be integrated into the evaluation of higher vocational online teaching. This article first introduces the concept of online teaching quality evaluation, and then The application advantages of big data technology in the evaluation of network teaching quality are analyzed, and the key points of the construction of a higher vocational network teaching quality evaluation system based on big data analysis are explored in detail.

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.

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