Vehicle Operation Classification - Revision history

Slawek at 11:50, 13 November 2018

2018-11-13T11:50:00Z

Slawek at 08:52, 30 January 2017

2017-01-30T08:52:48Z

Slawek at 07:53, 8 December 2016

2016-12-08T07:53:54Z

Mohbou at 06:35, 8 December 2016

2016-12-08T06:35:45Z

Yuafan at 10:01, 26 October 2016

2016-10-26T10:01:05Z

Yuafan at 20:17, 25 October 2016

2016-10-25T20:17:08Z

Yuafan at 20:16, 25 October 2016

2016-10-25T20:16:04Z

Yuafan at 19:29, 25 October 2016

2016-10-25T19:29:58Z

Yuafan at 19:28, 25 October 2016

2016-10-25T19:28:45Z

Yuafan at 15:48, 25 October 2016

2016-10-25T15:48:38Z

@@ Line 12: / Line 12: @@
 |Author=Karthik Bangalore Girijeswara
 |Level=Master
-|Status=Ongoing
+|Status=Finished
 }}
 With rapid development and growth of interconnected devices, more physical systems are integrated with computer-based systems, e.g. sensors and actuators can be sensed and controlled remotely across the network. It is enticing to analyze sensor data streaming from devices (on large scale), discover interesting patterns and knowledge.

@@ Line 12: / Line 12: @@
 |Author=Karthik Bangalore Girijeswara
 |Level=Master
-|Status=Open
+|Status=Ongoing
 }}
 With rapid development and growth of interconnected devices, more physical systems are integrated with computer-based systems, e.g. sensors and actuators can be sensed and controlled remotely across the network. It is enticing to analyze sensor data streaming from devices (on large scale), discover interesting patterns and knowledge.

@@ Line 10: / Line 10: @@
 |Prerequisites=Artificial Intelligence and Learning Systems courses
 |Supervisor=Sławomir Nowaczyk, Yuantao Fan, Mohamed-Rafik Bouguelia
 |Level=Master
 |Status=Open

@@ Line 9: / Line 9: @@
 ...
 |Prerequisites=Artificial Intelligence and Learning Systems courses
-|Supervisor=Sławomir Nowaczyk, Yuantao Fan
+|Supervisor=Sławomir Nowaczyk, Yuantao Fan, Mohamed-Rafik Bouguelia
 |Level=Master
 |Status=Open

@@ Line 8: / Line 8: @@
 ...
-|Prerequisites=Cooperating Intelligent Systems and Learning Systems courses
+|Prerequisites=Artificial Intelligence and Learning Systems courses
 |Supervisor=Sławomir Nowaczyk, Yuantao Fan
 |Level=Master
 |Status=Open
 }}
 With rapid development and growth of interconnected devices, more physical systems are integrated with computer-based systems, e.g. sensors and actuators can be sensed and controlled remotely across the network. It is enticing to analyze sensor data streaming from devices (on large scale), discover interesting patterns and knowledge.

@@ Line 1: / Line 1: @@
 {{StudentProjectTemplate
 |Summary=Classify modes of operation of Volvo vehicles based on on-board data
-|Keywords=Data Mining
+|Keywords=Data Mining, Machine Learning, Ubiquitous Knowledge Discovery
 |TimeFrame=Winter 2016 / Spring 2017
 |References=Time series classification
@@ Line 16: / Line 16: @@
 With rapid development and growth of interconnected devices, more physical systems are integrated with computer-based systems, e.g. sensors and actuators can be sensed and controlled remotely across the network. It is enticing to analyze sensor data streaming from devices (on large scale), discover interesting patterns and knowledge.
-In the ReDi2Service project we have collected approximately 500GB of data from Volvo buses in normal operation. It is interesting to analyse this data from the usage point of view, and come up with good description and/or classification (possibly hierarchical or even an ontology) of vehicle operation.
+In the ReDi2Service project we have collected approximately 1TB of data from Volvo buses in normal operation. It is interesting to analyse this data from the usage point of view, and come up with good description and/or classification (possibly hierarchical or even an ontology) of vehicle operation.
 The data contains both GPS positions, as well as on-board signals such as vehicle speed or engine torque. The goal of the project is to provide a framework for organising the data in a way that will facilitate future access to interesting portions of this data according to multiple criteria.