The Combination of Testing and 1D Modeling for Booming Noise Prediction in the Model Based System Testing Framework

2017 ◽  
pp. 103-111
Author(s):  
Fábio Luis Marques dos Santos ◽  
Tristan Enault ◽  
Jan Deleener ◽  
Tom Van Houcke ◽  
Herman Van der Auweraer
Keyword(s):  
Noise Prediction ◽  
System Testing ◽  
Testing Framework ◽  
Model Based ◽  
1D Modeling

A Model-Based and Resource-Aware Testing Framework for Parking System Payment using Blockchain

2020 ◽  
Author(s):  
Rateb Jabbar ◽  
Moez Krichen ◽  
Mohammed Shinoy ◽  
Mohamed Kharbeche ◽  
Noora Fetais ◽  
...  
Keyword(s):  
Testing Framework ◽  
Model Based ◽  
Parking System ◽  
Resource Aware

A Model Based on BP Neural Network for Audible Noise Prediction

2014 ◽  
Vol 986-987 ◽  
pp. 1356-1359
Author(s):  
You Xian Peng ◽  
Bo Tang ◽  
Hong Ying Cao ◽  
Bin Chen ◽  
Yu Li
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Transmission Lines ◽  
Bp Neural Network ◽  
Prediction Models ◽  
Absolute Error ◽  
Research Area ◽  
Noise Prediction ◽  
Bp Network ◽  
Model Based

Audible noise prediction is a hot research area in power transmission engineering in recent years, especially come down to AC transmission lines. The conventional prediction models at present have got some problems such as big errors. In this paper, a prediction model is established based on BP network, in which the input variables are the four factors in the international common expression of power line audible noise and the noise value is the output. Take multiple measured power lines as an example, a train is made by the BP network and then the prediction model is set up in the hidden layer of the network. Using the trained model, the audible noise values are predicted. The final results show that the average absolute error in absolute terms of the values by the audible noise prediction model based on BP neural network is 1.6414 less than that predicted by the GE formula.

scholarly journals TOM: A Model-Based GUI Testing Framework

2017 ◽  
pp. 155-161
Author(s):  
Miguel Pinto ◽  
Marcelo Gonçalves ◽  
Paolo Masci ◽  
José Creissac Campos
Keyword(s):  
Testing Framework ◽  
Gui Testing ◽  
Model Based

Construction Noise Prediction Model Based on Case-Based Reasoning in the Preconstruction Phase

2017 ◽  
Vol 143 (6) ◽  
pp. 04017008 ◽  
Author(s):  
Nahyun Kwon ◽  
Moonseo Park ◽  
Hyun-Soo Lee ◽  
Joseph Ahn ◽  
Sooyoung Kim
Keyword(s):  
Prediction Model ◽  
Case Based Reasoning ◽  
Noise Prediction ◽  
Model Based ◽  
Case Based
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