Research on the Character and Line Quality Evaluation Model Based on Human Visual System

2015 ◽  
Vol 731 ◽  
pp. 159-162
Author(s):  
Cong Li ◽  
Yao Hua Yi ◽  
Hai Su ◽  
Cong Mei Chen
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Human Visual System ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Subjective Evaluation ◽  
Objective Evaluation ◽  
Quality Evaluation Model

The ISO13660 standards made the objective evaluation of the characters and lines quick and simple, but the objective quality evaluation would make the objective attributes values of the characters and lines different from the quality evaluation based on HVS. Therefore the characters and lines quality evaluation model based on human visual system is proposed in this study. Firstly, to establish the subjective evaluation system and determine primary attributes that affected by the HVS. Secondly, it establishes the objective evaluation system based on ISO13660 standards. Finally, the linear regression model between the objective evaluation system and the subjective evaluation system is then established, and to evaluate the rationality of the linear regression model. The experimental results show that the quality evaluation model can evaluate the quality of characters and lines objectively and in accordance with the HVS.

The Research of Wine Quality Evaluation Based on Multiple Linear Regression

2013 ◽  
Vol 756-759 ◽  
pp. 2489-2493
Author(s):  
Huai Hui Liu ◽  
Wen Long Ji ◽  
Peng Zhang ◽  
Chuan Wen Yao
Keyword(s):  
Principal Component Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Multiple Linear Regression Model ◽  
Principal Component ◽  
Wine Grape ◽  
Wine Quality

Through the establishment of evaluation model based on principal component analysis, select 8 principal components from nearly 30 indexes of wine grape. Then we establish the multiple linear regression model and analyse the association between physicochemical indexes of wine grape and wine, and the influence of physicochemical indexes of wine grape and wine on wine quality. Finally study whether we could use the physicochemical indexes to evaluate the wine quality.

Sensitivity Analysis of the Quality Evaluation System for Baikal Skullcap Root

2010 ◽  
Vol 40-41 ◽  
pp. 212-219
Author(s):  
Ke Li ◽  
Wei Cheng ◽  
Xiao Jian Liu ◽  
Shu Bin Li ◽  
En Guang Hou ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Chromatographic Fingerprint ◽  
Traditional Chinese Herbal Medicine ◽  
Chinese Herbal ◽  
Sensitivity Indices ◽  
Quality Evaluation System ◽  
Quality Evaluation Model

In this paper, with the aid of a quality evaluation model, we study sensitivity analysis of the quality evaluation system for Baikal skullcap root and compute related sensitivity indices, hence determine the response of pharmacological effect under the model by varying chromatographic fingerprint data. This result is new and provides us with a feasible method for the quality evaluation of Traditional Chinese Herbal Medicine.

scholarly journals Automatic Evaluation of Internal Combustion Engine Noise Based on an Auditory Model

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Kai Liang ◽  
Haijun Zhao
Keyword(s):  
Internal Combustion Engines ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Objective Evaluation ◽  
Internal Combustion ◽  
Sound Quality ◽  
Classification Model ◽  
Combustion Engines ◽  
Model Based ◽  
Quality Evaluation Model

To improve the accuracy and efficiency of the objective evaluation of noise quality from internal combustion engines, an automatic noise quality classification model was constructed by introducing an auditory model-based acoustic spectrum analysis method and a convolutional neural network (CNN) model. A band-pass filter was also designed in the model to automatically extract the features of the noise samples, which were later used as input data. The adaptive moment estimation (Adam) algorithm was used to optimize the weights of each layer in the network, and the model was used to evaluate sound quality. To evaluate the predictive performance of the CNN model based on the auditory input, a back propagation (BP) sound quality evaluation model based on psychoacoustic parameters was constructed and used as a control. When processing the label values of the samples, the correlation between the psychoacoustic parameters of the objective evaluation and evaluation scores was analyzed. Four psychoacoustic parameters with the greatest correlation with subjective evaluation results were selected as the input values of the BP model. The results showed that the sound quality evaluation model based on the CNN could predict the sound quality of internal combustion engines more accurately, and the input evaluation score based on the auditory spectrum in the CNN classification model was more accurate than the short-time average energy input evaluation score based on the time domain.

Study on Oil Quality Evaluation System and its Implementation Based on Multi-Information Fusion

2011 ◽  
Vol 197-198 ◽  
pp. 1486-1493
Author(s):  
Xiong Xi Wu
Keyword(s):  
Neural Network ◽  
Information Fusion ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Oil Quality ◽  
Fusion Technology ◽  
Model Based ◽  
Quality Evaluation System ◽  
Quality Evaluation Model

This paper presents the oil quality evaluation system and establishes the two-stage fusion model based on multi-sensor information fusion technology. It also develops the oil quality evaluation model based on neural network model. With the advantages of multi-source information technology, the model implements comprehensive evaluation for oil quality, and provides a set of neural network training process and its results which achieve the oil quality evaluation based on information fusion. The case study shows that the prediction results for four kinds of oil samples by evaluation model based on multi-source fusion are consistent with the actual results. The comparison between operation test trend predictions and actual tests also shows the correctness of the oil quality evaluation model. The proposed multi-information fusion technology for oil quality evaluation system improves the evaluation accuracy and reduces dependence on technical personnel’s analysis experience, which is of great importance for improving the technical management level and the awareness of oil lubrication properties.

A subjective-objective evaluation method of hole surface quality in drilling CFRP-Ti stacks

2020 ◽  
pp. 095440542097107
Author(s):  
Shunuan Liu ◽  
Ning Wang ◽  
Kaifu Zhang ◽  
Bin Luo
Keyword(s):  
Surface Quality ◽  
Evaluation System ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Subjective Evaluation ◽  
Objective Evaluation ◽  
Entropy Weight ◽  
Evaluation Indexes ◽  
Reinforced Plastics

Hole surface quality in drilling carbon fiber-reinforced plastics and titanium alloy (CFRP-Ti) stacks is a key factor affecting high-quality assembly and reliable usage of the structure so it need be reasonably evaluated. However, there is no standardized evaluation system of hole surface quality in drilling CFRP-Ti stacks. The existing evaluation indexes cannot meet the evaluation requirements on the surface quality of the hole. This paper proposes a subjective-objective evaluation method to evaluate the surface quality of the hole in drilling CFRP-Ti stacks. Firstly, the evaluation factors are determined by experiments, including CFRP delamination, CFRP hole entrance tears, surface roughness of CFRP and Ti, and the evaluation system is established according to defect characteristics and industry standards. Secondly, the subjective evaluation model is established based on the improved analytic hierarchy process, the objective evaluation model is established based on the entropy weight method and the subjective and objective combination weight calculation method is obtained based on the principle of minimum discriminant information. Finally, the surface quality of the hole is evaluated by subjective, objective, subjective-objective evaluation methods respectively. The result shows that subjective-objective evaluation method is more reasonable and effective.

Physico-Chemical Analysis of Groundwater and Effect of Climatic Change in Angul-Talcher Area

2018 ◽  
Vol 6 (12) ◽  
pp. 26
Author(s):  
Aliva Bera ◽  
D.P. Satapathy
Keyword(s):  
Water Resources ◽  
Linear Regression ◽  
Regression Model ◽  
Climatic Change ◽  
Linear Regression Model ◽  
Ann Model ◽  
Quality Of Water ◽  
Physico Chemical ◽  
Simulation Based

In this paper, the linear regression model using ANN and the linear regression model using MS Excel were developed to estimate the physico-chemical concentrations in groundwater using pH, EC, TDS, TH, HCO3 as input parameters and Ca, Mg and K as output parameters. A comparison was made which indicated that ANN model had the better ability to estimate the physic-chemical concentrations in groundwater. An analytical survey along with simulation based tests for finding the climatic change and its effect on agriculture and water bodies in Angul-Talcher area is done. The various seasonal parameters such as pH, BOD, COD, TDS,TSS along with heavy elements like Pb, Cd, Zn, Cu, Fe, Mn concentration in water resources has been analyzed. For past 30 years rainfall data has been analyzed and water quality index values has been studied to find normal and abnormal quality of water resources and matlab based simulation has been done for performance analysis. All results has been analyzed and it is found that the condition is stable. 

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