Real-Time Feedback Learning System Based on Programming Logs Analysis

2021 ◽  
Vol 22 (4) ◽  
pp. 779-787
Author(s):  
Sheng-Bo Huang Sheng-Bo Huang ◽  
Chin-Feng Lai Sheng-Bo Huang ◽  
Yu-Lin Jeng Chin-Feng Lai

2002 ◽  
Vol 39 (01) ◽  
pp. 21-28
Author(s):  
Kevin Logan ◽  
Bahadir Inozu ◽  
Philippe Roy ◽  
Jean-Francçois Hetet ◽  
Pascal Chesse ◽  
...  

Automated monitoring systems are now the standard on most large vessels; however, few are equipped with diagnostic systems. This paper presents new developments in the area of fault diagnosis based on intelligent software agents. The research objective was to design an agent capable of continuous real-time machine learning by using an artificial neural network known as the cerebellar model articulation controller (CMAC). An engine simulator that can model both normal and faulty engine operations was used to develop the learning system controller in a flexible and cost-efficient manner. This paper provides a description of the selected CMAC, a brief overview of the real-time engine simulator and its integration with the learning system as well as a few results.


2020 ◽  
Vol 174 ◽  
pp. 712-719
Author(s):  
Juan Liu ◽  
Yawen Zheng ◽  
Ke Wang ◽  
Yulong Bian ◽  
Wei Gai ◽  
...  

Author(s):  
Yu Miao ◽  
Haiwei Dong ◽  
Jihad Mohamad Al Jaam ◽  
Abdulmotaleb El Saddik

Author(s):  
Vinh Dinh Nguyen ◽  
◽  
Khanh Xuan Hong Nguyen Tran ◽  
Vu Cong Nguyen ◽  
Narayan C. Debnath

Author(s):  
Abhishek Shukla ◽  
◽  
Dr. Rohit Miri

As we know 2020 is a year which created lots of issues with every type of the business. Even it affects the agricultural eco system. Due to COVID-19 there is very less man power is available and farmers who are doing forming in larger way, they need lots of man power to monitor & maintain their farmers. Due to lack in man power its very difficult for the formers to monitor their farms from remotely, so there is need of system which is able to provide smart agricultural features like temperature & humidity monitoring remotely apart from that farmer have the power to monitor the quality of their leaves. So, in this paper we present an IoT enabled system which is able to track the temperature & Humidity from the remotely apart from that it is also able to capture the image of the leaf and send to server where in server using Computer vision & machine learning system, we will track the leaf quality. In this paper we proposed a hardware unit which is basically using ESP32 Cam and DHT11. Here ESP-32 work as smart CAM which is able to track the image of the leaf and send those real time image to the server. Here we are using think speak to store the accuracy level parameters of each leaf record. Similar we will store temperature & humidity real time data on the think speak server. Think speak server is powered by math work.


Author(s):  
Yuto Omae ◽  
Kazutaka Mizukoshi ◽  
Tatsuro Furuya ◽  
Takayuki Oshima ◽  
Norihisa Sakakibara ◽  
...  

Educational benefits of collaborative learning have been demonstrated in several studies and various systems have been developed to date. Numerous efforts have been made to enhance these benefits by supporting collaborative learning with information and communications technology. These efforts have primarily involved support for constructing collaborative learning groups, for collaborative learning in e-learning environments, and for collaborative learning analysis. This study aims to develop a computer-supported collaborative learning system that supports instructors in real time to facilitate collaborative learning in a face-to-face environment with multiple learners at the same time to provide enhanced support. Both the learner and instructor have one tablet terminal and conduct collaborative learning in a single classroom. Herein, the learner can use the tablet to save an educational log and freely browse the educational log of another learner. By referencing the educational logs, learners can learn through face-to-face communication. Additionally, the instructor can determine (1) who is viewing whose educational log and to what extent and (2) which learner is struggling to achieve targets. Herein, an overview of the proposed system is provided and the results obtained using the proposed system are reported to evaluate its effectiveness.


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