Detection of False Data Injection Attack in Automatic Generation Control System with Electric Vehicles based on Fuzzy Long Short-Term Memory

Author(s):  
Ziyu Chen ◽  
Jizhong Zhu ◽  
Hanjiang Dong ◽  
Wanli Wu ◽  
Haohao Zhu ◽  
...  
2021 ◽  
pp. 1-13
Author(s):  
Joel Suárez-Cansino ◽  
Virgilio López-Morales ◽  
Julio César Ramos-Fernández

Building a good instructional design requires a sound organization management to program and articulate several tasks based for instance on the time availability, process follow-up, social and educational context. Furthermore, learning outcomes are the basis involving every educational activity. Thus, based on a predefined ontology, including the instructional educative model and its characteristics, we propose the use of a Long Short–Term Memory Artificial Neural Network (LSTM) to organize the structure and automatize the obtention of learning outcomes for a focused instructional design. We present encouraging results in this direction through the use of a LSTM using as the training data, a small learning outcomes set predefined by the user, focused on the characteristics of an educative model previously defined.


2021 ◽  
Author(s):  
Eugenia Cadete ◽  
Caiwen Ding ◽  
Mimi Xie ◽  
Sara Ahmed ◽  
Yu-Fang Jin

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