Visual fatigue measurement model based on multi-area variance in a stereoscopy

2016 ◽  
Author(s):  
Hyeong-jun Cho ◽  
Ghulam Hussain ◽  
Jin-hoon Park ◽  
Jong-hak Kim ◽  
Jun-dong Cho
Keyword(s):  
Measurement Model ◽  
Visual Fatigue ◽  
Model Based ◽  
Fatigue Measurement

scholarly journals Visual fatigue measurement model in stereoscopy based on Bayesian network

2013 ◽  
Vol 52 (8) ◽  
pp. 083110 ◽  
Author(s):  
Zhongyun Yuan ◽  
Jong Hak Kim ◽  
Jun Dong Cho
Keyword(s):  
Bayesian Network ◽  
Measurement Model ◽  
Visual Fatigue ◽  
Fatigue Measurement

University Quality Measurement Model Based on Balanced Scorecard

2019 ◽  
pp. 131-144
Author(s):  
Thalia Obredor-Baldovino ◽  
Harold Combita-Niño ◽  
Tito J. Crissien-Borrero ◽  
Emiro De-la-Hoz-Franco ◽  
Diego Beltrán ◽  
...  
Keyword(s):  
Balanced Scorecard ◽  
Quality Measurement ◽  
Measurement Model ◽  
Model Based ◽  
University Quality

scholarly journals Research on measurement of supply chain finance credit risk based on Internet of Things

2019 ◽  
Vol 15 (9) ◽  
pp. 155014771987400 ◽  
Author(s):  
Waseem Ahmed Abbasi ◽  
Zongrun Wang ◽  
Yanju Zhou ◽  
Shahzad Hassan
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Credit Risk ◽  
Measurement Model ◽  
The Internet ◽  
Financial Model ◽  
Model Based ◽  
Supply Chain Finance ◽  
Credit Risk Measurement ◽  
The Internet Of Things

This article first expounds the concept of supply chain finance and its credit risk, describes the hierarchical structure of the Internet of Things and its key technologies, and combines the unique functions of the Internet of Things technology and the business process of the inventory pledge financing model to design the supply chain financial model based on the Internet of Things. Then it studies the credit risk assessment under the supply chain financial model based on the Internet of Things, and uses the support vector machine algorithm and Logistic regression method to establish a credit risk measurement model considering the subject rating and debt rating. Finally, an example analysis shows that the credit risk measurement model has a high accuracy rate for determining whether small and medium-sized enterprises in the supply chain financial model based on the Internet of Things are trustworthy. This will facilitate the revision and improvement of the existing credit evaluation system and improve the accuracy of measuring the current financial risk of supply chain. This research adopts the Internet of Things to measure financial credit risk in supply chain and provides a reference for the following researches.

A SLAM Model Based on Omni-Directional Vision and Odometer

2011 ◽  
Vol 103 ◽  
pp. 128-133 ◽  
Author(s):  
Yu Quan Wang ◽  
Ying Hong Li
Keyword(s):  
Stereo Vision ◽  
Good Accuracy ◽  
Measurement Model ◽  
Vision Sensor ◽  
Scale Invariant ◽  
New Model ◽  
Model Based ◽  
Invariant Feature ◽  
Feature Transform ◽  
Scale Invariant Feature

A new SLAM measurement model based on omni-directional vision and odometer is proposed in this paper. A virtual stereo vision composed of an omni-directional vision sensor and an odometer. Scale Invariant Feature Transform is used to extract stable and available vision features from the omni-images. The 3-D locations of these features are initialized by the pixel coordinates and the odometer data by stereo projection, and the locations will be corrected during the SLAM process when they are observed again. It is demonstrated that the new model can make a good accuracy with FastSLAM algorithm, and the accuracy is greatly improved corresponding to the classical vision sensor.

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