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Pandemic Influenza simulation based on Genetic Algorithm and Agent Based Modeling

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, 2011

This research is to define and develop the Pandemic Influenza simulation program. There are 3 par... more This research is to define and develop the Pandemic Influenza simulation program. There are 3 parameters to determine whether a virus is potentially dangerous or not: (1) infectivity (2) virulence and (3) contagiousness. Avian Influenza has characteristics as follows: relatively high infectivity, high virulence and low contagiousness. On the other hand, Swine Influenza has characteristics as follows: relatively high infectivity, low virulence and high contagiousness. Pandemic Influenza happens because of these 3 parameters changes: increment of infectivity; virulence and contagiousness. These changes can trigger the Pandemic Influenza to become more infectious, spread faster within wider location. This research's hypothesis is based from the Pandemic Influenza phenomena as follows: To produce a comprehensive Pandemic Influenza modelling and simulation, there are two aspects: (1) The viruses' abilities increment model, with two sub-aspects: (1.1) Internal aspect and (1.2) External aspect. One of challenge of this research is to determine the portion of the internal and external aspect influences toward the overall Pandemic Influenza phenomena. This model is based on Genetic Algorithm to produce new chromosome solution from existing chromosomes obtained from virus database. The new viruses, produced from existing viruses undergone 3 parameters increment, are potential to cause the Pandemic Influenza; (2) The virus and host interaction model based on Agent based modelling to obtain the epidemiological model. The result is simulation program based on MATLAB © with Genetic-Algorithm-Toolbox © combined with Agentbased-modelling principle. The simulation results are new viruses undergone 3 parameters increment and their integration, and interaction between virus-host as epidemiological model. The integration of the new viruses are compared with the standard optimal value, to determine the potential of such new viruses causing the Pandemic-Influenza spread. This research could also be developed for other diseases: Tuberculosis, Denguehemorrhagic-fever and other zoonotic-diseases.

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NoteBOX With a Unified Messaging System

Networks 2006. 12th International Telecommunications Network Strategy and Planning Symposium, 2006

Messaging services are most widely used applications in both Internet and mobile networks. Since ... more Messaging services are most widely used applications in both Internet and mobile networks. Since each current messaging service uses different protocols and has specific applications, a problem of interoperability amongst them remains. This paper describes an effort to build NoteBOX an application which is based on Internet protocol (IP). Our goal is to design and implement an application and content

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Constraint-based software for broadband networks planning : a software framework for planning with the holistic approach

The superiority of the proposed planning software lies in the constraintbased model which is succ... more The superiority of the proposed planning software lies in the constraintbased model which is successfully combined with all the other components namely, analytical methods, rules of thumb, case-base, and database as well as the involvement of the human planner. This thesis contains no material which has been accepted for the award of any other degree or diploma in any university or other institution and, to the best of the author's knowledge, this thesis contains no material previously published or written by another person, except where due reference is made in the text of this thesis.

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Material point method based fluid simulation on GPU using compute shader

2017 International Conference on Advanced Informatics, Concepts, Theory, and Applications (ICAICTA), 2017

Fluid simulation, specifically the Material Point Method (MPM) based simulation, requires a large... more Fluid simulation, specifically the Material Point Method (MPM) based simulation, requires a large number of particles and a big grid size to create a realistic looking simulation. This paper explains what we can do to improve the performance of the simulation by using compute shader and the strategy behind it. Compute shader is a shader used for General Purpose Graphics Processing Unit (GPGPU) programming, running in a separate pipeline than the rendering pipeline. Since the MPM simulation requires serialized code to update the values of the grid nodes and particles, it becomes a challenge to implement it into a parallelized code that can be run on the GPU with compute shader. First, we have to plan which part of the code that can be parallelized. We also have to translate the code into a GLSL program that doesn't have any C/C++ pointer and Object Oriented class. We then compare the simulation performance between the one running on CPU and the compute shader one, and see how much improvement is made by implementing it with compute shader.

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Interactive fluid simulation based on material point method for mobile devices

2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA), 2015

In this paper, we explain about the implementation of interactive fluid simulation based on Navie... more In this paper, we explain about the implementation of interactive fluid simulation based on Navier-Stokes equations for mobile devices. We use Material Point Method (Euler-Lagrange) approach for fluid discretization. This implementation is optimized to reach 60 cycles/second of simulation. The dynamic computing optimization is done by using several techniques, such as: grid size reduction, quadratic B-spline interpolation, and localized active node computation. The gravitational direction is determined by data stream from accelerometer sensor. The external forces of fluid are generated from touch screen sensor and its coordinate. We also propose a strategy for fluid visualization in Graphic Processing Unit (GPU) in order to reach rendering performance at 60 frame-per-second (fps) by using motion blur technique. From this research, we obtain 2000 particles that can be simulated interactively at 60 fps.

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On performance of kernel based and embedded Real-Time Operating System: Benchmarking and analysis

There are many kinds of Real Time Operating System (RTOS) can be found at the present time. This ... more There are many kinds of Real Time Operating System (RTOS) can be found at the present time. This research aims to benchmark and analyze two kinds of RTOS; kernel based and embedded RTOS. Benchmarking information about performance of a RTOS is really important in order to choose appropriate RTOS. We use Xenomai and RT Patch Linux for kernel based RTOS and eCos for embedded RTOS. Benchmarking is done by comparing four performance metrics and assessing performance of a test bed application. The four ...

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