End to End Internet Traffic Measurement Model Based on Compressive Sampling

2019 ◽  
pp. 93-104
Author(s):  
Indrarini Dyah Irawati ◽  
Andriyan Bayu Suksmono ◽  
Ian Joseph Matheus Edward
Keyword(s):  
Measurement Model ◽  
Internet Traffic ◽  
Compressive Sampling ◽  
Traffic Measurement ◽  
Model Based ◽  
End To End

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 Model-Based: End-to-End Molecular Communication System Through Deep Reinforcement Learning Auto Encoder

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 70279-70286 ◽  
Author(s):  
Soha Mohamed ◽  
Jian Dong ◽  
A. R. Junejo ◽  
De Cheng Zuo
Keyword(s):  
Reinforcement Learning ◽  
Communication System ◽  
Molecular Communication ◽  
Model Based ◽  
End To End

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.

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