Demonstration of a Novel Framework for Proactive Maintenance Using Failure Prediction and Bit Lossless Protection With Autonomous Network Diagnosis System

2020 ◽  
Vol 38 (9) ◽  
pp. 2695-2702 ◽  
Author(s):  
Fumikazu Inuzuka ◽  
Takuya Oda ◽  
Takafumi Tanaka ◽  
Kei Kitamura ◽  
Seiki Kuwabara ◽  
...  
Keyword(s):  
Failure Prediction ◽  
Diagnosis System ◽  
Autonomous Network ◽  
Network Diagnosis ◽  
Proactive Maintenance

Autonomous network diagnosis from the carrier perspective [Invited]: publisher’s note

2019 ◽  
Vol 12 (3) ◽  
pp. 1
Author(s):  
Takafumi Tanaka ◽  
Akira Hirano ◽  
Shoukei Kobayashi ◽  
Takuya Oda ◽  
Seiki Kuwabara ◽  
...  
Keyword(s):  
Autonomous Network ◽  
Network Diagnosis

Autonomous network diagnosis from the carrier perspective [Invited]

2019 ◽  
Vol 12 (1) ◽  
pp. A9 ◽  
Author(s):  
Takafumi Tanaka ◽  
Akira Hirano ◽  
Shoukei Kobayashi ◽  
Takuya Oda ◽  
Seiki Kuwabara ◽  
...  
Keyword(s):  
Autonomous Network ◽  
Network Diagnosis

Remote Vehicular System Management Functions and Information Structure

2010 ◽  
pp. 310-330
Author(s):  
Teng-Wen Chang ◽  
Jiann-Liang Chen
Keyword(s):  
Information Technology ◽  
Information Structure ◽  
Rapid Development ◽  
Vehicular Network ◽  
System Management ◽  
Diagnosis System ◽  
Remote Management ◽  
Management Functions ◽  
Network Diagnosis ◽  
Vehicle Network

Due to the rapid development of information technology, the network has already spread to every corner of vehicle. With all kinds of ECU devices appear in the vehicle, and it brings the more and more convenient living. On purpose solving heterogamous technologies that are incompatible with each other, developed a “WBEM-based Remote Management and Heterogeneous Vehicular Network Diagnosis System” on OSGi Gateway. This system can focus on a variety of problems come from vehicle network, and find out what are the problems or where are the problems happened. If the problem still can not be solved properly, we must to seek for help from remote managers. The users can acquire enough information without understanding how to control every device, so that the users can help near diagnosis system to solve vehicle network’s problems and to promote the abilities of near network diagnosis.

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