Saman Abdulla

University of Malaya, Malaysia, Faculty of Computer Science and Information Technology, Post-Doc

Followers

Following

Public Views

Detection polymorphic Computer Virus
Supervisors: Dr. Omar Zakaria and Dr. Miss Laiha Mat Kiah
Phone: 0060178738056
Address: Q-04-1, UM International House
Jln 17/2, Petaling Jaya,
46400, Selangor
Kuala Lumpur
Malaysia

less

Tsinghua University

Queen's University Belfast

Sergio Zambrano-Asanza

Esteban Zalamea

Universidad de Cuenca, Ecuador

petr wolf

Abrha Hiluf

alex dankwah

InterestsView All (19)

Uploads

Papers by Saman Abdulla

Minimizing Electricity Shortages in Koya City in Iraq using Photo Voltage Gird System Simulation

Koya showed that demands on electricity have been increased up to (235.12) GWh and consumption ra... more Koya showed that demands on electricity have been increased up to (235.12) GWh and consumption rate of such energy reached 224.781 GWh by the end of 2013. Due to that, frequent network shut-down is recorded on average of 4 hours/day. Such shortages have been recorded similarly in most cities of Kurdistan (Northern Part of Iraq). To minimize them, this work presented a Koya grid connected Photo Voltaic (PV) system. The proposed system can provide 60 % of demand to a feeder of the city during spring season, while it can provide 30 % of the load during summer and autumn.

Download

A Fuzzy Logic Based Approach for Fault Classification in Power Transformer System

Power transformers are one of the most important equipment of power system. Fault diagnosis of tr... more Power transformers are one of the most important equipment of power system. Fault diagnosis of transformers plays an active role in power system monitoring and control that ensures a stable and continuous electrical power supply to consumers. This project introduces a fuzzy logic which can handle imprecise vague and uncertainly based fault diagnosis system (FDS) for power transformers. The system is designed to detect, localize and finally classify faults. The performance of fault diagnosis system is evaluated using three phase primary voltages and currents and three phase secondary voltages and currents and negative sequence components values. Using the computer program MATLAB, a 500Kv network is taken as an example. A laboratory simulation transmission line system in the transmission line laboratory was taken as a practical example for testing this system; line voltage of this system is 220Kv. The results proof effectiveness of the system for fault diagnosis, more than 95%.

Download

A time series based prediction model for urban development plans using an Artificial Neural Network: Koya in 2020

Urban development plans always designed based on two important factors; population growth and cit... more Urban development plans always designed based on two important factors; population growth and city's expansion. In many cases the size of expansion for a city depends on the rate of population growth. The expansion process for a city may include many type of projects, such as building new residential and commercial areas, opening internal and access roads, construction new service buildings (schools, hospitals, …etc) with providing many type of services such as electricity power, communication access points and towers, and sewerage with water net systems. In this project, an accurate prediction model with prediction function is proposed. The model depends on Time Series based Artificial Neural Network to achieve the work. The input data for this model will be the number of families, number of students, and number of registered cars to get fuel in koya petrol stations. These records that distributed over different span of years (from 2000 to 2013) are collected in Koya city. This work has general and specific aims. The specific aim of this work is to support some governmental service departments in koya through providing some ideas about how the size of requirements for this city will be expanded on 2020. This case could be generalized for other cities that similar to Koya, which is the general aim of this work.

Download

Devising a Biological Model to Detect Polymorphic Computer VirusesArtificial Immune System (AIM): Review

... Omar Zakaria Faculty of Computer Science and IT University of Malaya 50603, Kuala Lumpur, Mal... more