Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques
Title
: 
Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques

Personal Author
: 
Ali Mohamed Ahmed Abuassal, 1986-

Publication Information
: 
2012

Physical Description
: 
xi, 60 p. : ill. ; 30 cm.

General Note
: 
Supervisor : Prof. Dr. Mohd. Fua'ad Rahmat
 
Also available in CD-ROM : CP 028830 ra

Subject Term
: 
Tomography -- Industrial applications
 
Flow visualization
 
Detectors

Added Author
: 
Mohd. Fua'ad Rahmat

Added Corporate Author
: 
Fakulti Kejuruteraan Elektrik

Thesis (Sarjana Kejuruteraan (Elektrik - Mekatronik dan Kawalan Automatik)) - Universiti Teknologi Malaysia, 2012


LibraryItem BarcodeCall NumberMaterial TypeItem Category 1
FKE LibraryFKE30000005547TA417.25 A45 2012 rafClosed Access ThesisUTM Master Thesis (Closed Access)
Perpustakaan Raja Zarith Sofiah30000010299123TA417.25 A45 2012 rafClosed Access ThesisUTM Master Thesis (Closed Access)