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IMPLEMENTATION OF
     PROJECT



          Objectives       1.  To replace the existing outdated optimization engine of Wise Gate Allocation System with the recent
                             and advanced computational intelligence algorithm.
                           2.  To use Graphical User Interface (GUI) for practical implementation.
                           3.  To transfer the computational intelligence and mobile computing knowledge to the company for
                             future usage and maintenance.


          Methodology
                                     1.  T eh     o p  i t  m z i  a  o i t    n  e n  n i g        e  2. Testing and analysis of the new
                                       of WISE GAS software has         optimization engine offline based
                                       been improved                    on the existing dataset are completed







                                     3. Integration with WISE GAS     4.  Overall  functional  test,  real-time  field
                                       software is completed            test and modification are completed




          Activities       1.  Familiarize with the related topic about flight operation at the airport for both theoretical and actual
          Conducted          operation based on KLIA operation.
                           2.  Transfer of knowledge on the suitable computational intelligence algorithm.
                           3.  Understand the actual operation of an airport. This project was focused on Kuala Lumpur International
                             Airport (KLIA).
                           4.  Programming the fitness calculation based on walking distance.
                           5.  Computational framework of gate allocation using time window.
                           6.  Implement  the  optimisation  process  based  on  angle  modulated  simulated  Kalman  filter,  binary
                                simulated Kalman filter, and distance evaluated simulated Kalman filter using MATLAB.
                                                                                                                 85
          Output                                                                                                 100
          Industry         1.  A competitive gate allocation scheduling software to be used in KLIA


          Public Higher    1.  Opportunity to apply the new SKF algorithm to solve real industrial program
          Learning Institute
          Human Capital    1.  A job for a fresh graduate can be provided.
          Development      2.  Industrial exposure to postgraduate students.
                           3.  Trained graduate interns in computational intelligence.
                           4.  Trained graduate interns in computer programming using MATLAB.







     PROBLEMS IDENTIFIED



      1.   Minimum involvement from the industry. The researchers needed to read a lot of conference and journal papers in
          order to understand the computational and modelling of airport gate scheduling problems.

      2.   The final milestone cannot be achieved because there was no opportunity to test the software in KLIA. The company
          has not successfully able to establish the collaboration is granted, the software cannot be tested in KLIA.
     KNOWLEDGE

     TRANSFERRED







     Best Practices in KTP
                                                                ASSOC. PROF. DR. ZUWAIRIE BIN IBRAHIM
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