Tuesday, September 26, 2017

MOBILE FRAMEWORK FOR CT IMAGE


The computed tomography (CT) mobile computing is a prototype develops for creating a sinogram data from a bitmap picture and then reconstructing the sinogram data back tothe image picture. This conceptual study can be extended to the real CT scan data problems. However, mobile devices claim several boundaries such as small screen viewer size, low pixel resolution, limited available memory and processing power [1]. Mobile devices have served a new method to reach information and the mobile environment is different from a desktop computer (e.g. the screen is smaller, lower computing power)[2]. The increases and penetration of mobile devices in daily lives are transformed and invigorating end users with new experiences, but suffocate with limited computing, power and storage spaces that are predicaments for a sophisticated application required by certain practice fields [3]. Fortunately, in the last few year's exceptional renovations was engineered with mobile devices, smartphones and a tablet with upgraded multi-core processors and graphics processing cores which admitting new application possibilities [4].
The mobile app design requirement is followed formal process notation provided by Gane and Sarson. The Data Flow Diagram (DFD) method is a masterful designing tool to model the system functionality by establishing the data associated with the process for the overall system.It will offer a process view of the system as well as the decomposition view, but sink into time consuming to utilize the model [5]. The DFD is a structured analysis and design method as well as a perceivable tool to represent logic models and shows the data transformation in a system, along with decomposition of the details data flows and function, but it is not a process or procedure modeling method.

Monday, September 18, 2017

Tuesday, July 4, 2017

Thursday, June 22, 2017

Entry Requirement (IVI, UKM)


1.    Master’s programmes should have the following qualification:

a.    A Bachelor Degree in Information Technology / Computer Science from Universiti Kebangsaan Malaysia or other universities approved by the Senate with a good Cummulative Grade Point Average (CGPA) of at least 2.75; or

b.    Other relevant qualifications or experience approved by the Senate.


2.    Doctor of Philosophy programmes should have the following qualification:

a.    A Master Degree in Information Technology / Computer Science from Universiti Kebangsaan Malaysia or other universities approved by the Senate with a good Cummulative Grade Point Average (CGPA) of at least 3.0; or

b.    Other relevant qualifications or experience approved by the Senate or


c.    Currently enrolled in Master of Science (Visual Informatics) from University Kebangsaan Malaysia and supported by institute’s Master Degree Committee to convert to Doctor of Philosophy programme, which approved by the Senate.

Monday, June 12, 2017