scholarly journals Establishment of Track Quality Index Standard Recommendations for Beijing Metro

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Reng-Kui Liu ◽  
Peng Xu ◽  
Zhuang-Zhi Sun ◽  
Ce Zou ◽  
Quan-Xin Sun
Keyword(s):  
Quality Assessment ◽  
Measurement Data ◽  
Quality Measurement ◽  
Assessment Method ◽  
Track Geometry ◽  
Quality Assessment Method ◽  
Wheel Loading ◽  
Management Experience ◽  
Track Quality

Since 2007, Beijing Metro started to use track geometry car to measure quality of its tracks under wheel loading conditions. The track quality measurement data from the track geometry car were only used to assess local track quality by means of scoring 1000 m long track segments based on track exceptions. Track quality management experience of national railroads of China shows that, in addition to local track quality assessment, an overall track quality assessment method should be employed. The paper presented research results funded by Road Administration of Beijing Municipal Commission of Transport. The paper proposed an overall track quality assessment method for Beijing Metro and determined the overall track quality standards by means of a statistical method which was proposed in the paper. The standards are necessary for the proposed method to be applied and have been approved by Road Administration of Beijing Municipal Commission of Transport and put into practice.

scholarly journals No-Reference Quality Assessment Method for Blurriness of SEM Micrographs with Multiple Texture

Scanning ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Hui Wang ◽  
Xiaojuan Hu ◽  
Hui Xu ◽  
Shiyin Li ◽  
Zhaolin Lu
Keyword(s):  
Quality Assessment ◽  
Local Variation ◽  
Assessment Method ◽  
Microscopy Imaging ◽  
Sem Micrographs ◽  
Quality Assessment Method ◽  
Gestalt Perception ◽  
Reference Quality ◽  
Selection Of

Scanning electron microscopy (SEM) plays an important role in the intuitive understanding of microstructures because it can provide ultrahigh magnification. Tens or hundreds of images are regularly generated and saved during a typical microscopy imaging process. Given the subjectivity of a microscopist’s focusing operation, blurriness is an important distortion that debases the quality of micrographs. The selection of high-quality micrographs using subjective methods is expensive and time-consuming. This study proposes a new no-reference quality assessment method for evaluating the blurriness of SEM micrographs. The human visual system is more sensitive to the distortions of cartoon components than to those of redundant textured components according to the Gestalt perception psychology and the entropy masking property. Micrographs are initially decomposed into cartoon and textured components. Then, the spectral and spatial sharpness maps of the cartoon components are extracted. One metric is calculated by combining the spatial and spectral sharpness maps of the cartoon components. The other metric is calculated on the basis of the edge of the maximum local variation map of the cartoon components. Finally, the two metrics are combined as the final metric. The objective scores generated using this method exhibit high correlation and consistency with the subjective scores.

Railway Track Quality Assessment Method Based on Mechanism Modeling

ICTIS 2011 ◽  
2011 ◽  
Author(s):  
Yong Qin ◽  
Wei Wei ◽  
Zong-yi Xing ◽  
Li-min Jia ◽  
Xiaoqing Chen
Keyword(s):  
Quality Assessment ◽  
Assessment Method ◽  
Railway Track ◽  
Quality Assessment Method ◽  
Mechanism Modeling ◽  
Track Quality

Research on the Quality of Laser Marked Data Matrix Symbols

2018 ◽  
Vol 764 ◽  
pp. 219-224
Author(s):  
Chun Ling Li ◽  
Chang Hou Lu ◽  
Jian Mei Li
Keyword(s):  
Titanium Alloy ◽  
Quality Assessment ◽  
Orthogonal Experiment ◽  
Assessment Method ◽  
Data Matrix ◽  
Mathematics Model ◽  
Modified Model ◽  
Quality Assessment Method ◽  
Better Than

To evaluate the quality of the laser direct part marked Data Matrix symbols on titanium alloy substrates, the quality assessment methods at home and abroad were compared. A new quality assessment method of combining the effect of the laser on substrate materials and symbol grade of laser marked Data Matrix was put forward. Depending on previous research works, orthogonal experiment results were analyzed again and a modified nonlinear mathematics model was established. Analysis results indicate that this modified model can explain 90.6% of symbol contrast change and it is statistically significant. So it is better than previous linear regression model and can be used to estimate the quality of laser marked Data Matrix symbols on titanium alloy substrates. The nonlinear mathematics model can also explain the laser parameters influence on the symbol contrast.

scholarly journals A single-model quality assessment method for poor quality protein structure

2020 ◽  
Author(s):  
Jianquan Ouyang ◽  
Ningqiao Huang ◽  
Yunqi Jiang
Keyword(s):  
Protein Structure ◽  
Quality Assessment ◽  
Structure Prediction ◽  
Assessment Method ◽  
Poor Quality ◽  
Single Model ◽  
Model Quality ◽  
Model Quality Assessment ◽  
Quality Assessment Method

Abstract Quality assessment of protein tertiary structure prediction models, in which structures of the best quality are selected from decoys, is a major challenge in protein structure prediction, and is crucial to determine a model’s utility and potential applications. Estimating the quality of a single model predicts the model’s quality based on the single model itself. In general, the Pearson correlation value of the quality assessment method increases in tandem with an increase in the quality of the model pool. However, there is no consensus regarding the best method to select a few good models from the poor quality model pool. In this work, we introduce a novel single-model quality assessment method for poor quality models that uses simple linear combinations of six features. We perform weighted search and linear regression on a large dataset of models from the 12th Critical Assessment of Protein Structure Prediction (CASP12) and benchmark the results on CASP13 models. We demonstrate that our method achieves outstanding performance on poor quality models.

scholarly journals A single-model quality assessment method for poor quality protein structure

2020 ◽  
Author(s):  
Jianquan Ouyang ◽  
Ningqiao Huang ◽  
Yunqi Jiang
Keyword(s):  
Protein Structure ◽  
Quality Assessment ◽  
Structure Prediction ◽  
Assessment Method ◽  
Poor Quality ◽  
Single Model ◽  
Model Quality ◽  
Model Quality Assessment ◽  
Quality Assessment Method

Abstract Background: Quality assessment of protein tertiary structure prediction models, in which structures of the best quality are selected from decoys, is a major challenge in protein structure prediction, and is crucial to determine a model’s utility and potential applications. Estimating the quality of a single model predicts the model’s quality based on the single model itself. In general, the Pearson correlation value of the quality assessment method increases in tandem with an increase in the quality of the model pool. However, there is no consensus regarding the best method to select a few good models from the poor quality model pool.Results: We introduce a novel single-model quality assessment method for poor quality models that uses simple linear combinations of six features. We perform weighted search and linear regression on a large dataset of models from the 12th Critical Assessment of Protein Structure Prediction (CASP12) and benchmark the results on CASP13 models. We demonstrate that our method achieves outstanding performance on poor quality models.Conclusions: According to results of poor protein structure assessment based on six features, contact prediction and relying on fewer prediction features can improve selection accuracy.

scholarly journals A QUALITY ASSESSMENT METHOD FOR 3D ROAD POLYGON OBJECTS

2015 ◽  
Vol XL-3/W3 ◽  
pp. 45-49
Author(s):  
L. Gao ◽  
W. Shi ◽  
Y. Wan
Keyword(s):  
Quality Assessment ◽  
Point Cloud ◽  
Assessment Method ◽  
Data Set ◽  
Gis Data ◽  
Quality Assessment Method ◽  
The City ◽  
Different Sources ◽  
Height Data

With the development of the economy, the fast and accurate extraction of the city road is significant for GIS data collection and update, remote sensing images interpretation, mapping and spatial database updating etc. 3D GIS has attracted more and more attentions from academics, industries and governments with the increase of requirements for interoperability and integration of different sources of data. The quality of 3D geographic objects is very important for spatial analysis and decision-making. This paper presents a method for the quality assessment of the 3D road polygon objects which is created by integrating 2D Road Polygon data with LiDAR point cloud and other height information such as Spot Height data in Hong Kong Island. The quality of the created 3D road polygon data set is evaluated by the vertical accuracy, geometric and attribute accuracy, connectivity error, undulation error and completeness error and the final results are presented.

scholarly journals Initial Fatigue Quality Assessment for Aircraft Wing Panel Fastener Hole

2018 ◽  
Vol 36 (1) ◽  
pp. 91-95
Author(s):  
Junjie Zhou ◽  
Shengnan Wang
Keyword(s):  
Quality Assessment ◽  
Assessment Method ◽  
Economic Life ◽  
Aircraft Wing ◽  
Fastener Hole ◽  
Quality Assessment Method ◽  
Design Requirements ◽  
The Given ◽  
Wing Panel

An effective initial fatigue quality assessment method is presented in order to verify aircraft wing panel fastener hole whether to satisfy the design requirements. Firstly, after finishing fatigue test of bolted specimens and fatigue fracture interpretation, the time to crack initiation distributions under 3 stress levels are obtained and then a general equivalent initial flaw size distribution is established. Secondly, a method of fatigue life prediction with 95% reliability is proposed. Finally, the initial fatigue quality of aircraft wing panel fastener hole is evaluated based on the economic life criterion and double 95% EIFS value. The results show that the initial fatigue quality of the given aircraft wing panel fastener hole satisfies the design requirements.

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