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Shahrani Shahbudin
Universiti Teknologi MARA

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Fault disturbances classification analysis using adaptive neuro-fuzzy inferences system Shahrani Shahbudin; Murizah Kassim; Roslina Mohamad; Saiful Izwan Suliman; Yuslinda Wati Mohamad Yusof
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1196-1202

Abstract

This paper affords the use of neuro-fuzzy technique called the Adaptive Network–based Fuzzy Inference System (ANFIS) to highlight its ability to perform fault disturbances classification tasks using extracted features based on S-transforms methods. The ANFIS model with a five-layered architecture was trained using extracted features to classify signal data comprising various faults disturbances, namely, voltage sag, swell, impulsive, interruption, notch, and pure signal.  Results obtained showed that the ANFIS model is very suitable and can generate excellent classification results provided that the right type and number of Membership Functions (MFs) are used in the classification task.
3D modeling of multimode and single mode fiber Murizah Kassim; Ahmad Syahir Arif Mohd Zaid; Azlina Idris; Shahrani Shahbudin; Roslina Mohamad; Cik Ku Haroswati Che Ku Yahaya
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1398-1406

Abstract

This paper presents a design of 3D modeling of Multimode and Single Mode Fiber using SolidWorks. Fiber technology is essential that presents optical fiber is the fastest optical cable laid by Internet Service Providers in network communication. The current design of both fibers has less detail animation on technical specifications of light propagations and cladding. Thus, characterization difficulties occur between this two fiber optics cables. It also has less promotion in media publications such as 3D model design as guidance to users. This paper presents details on 3D modeling of multimode mode and single mode fiber specifications held in the industry market.  A 3D design with SolidWorks and comparison of both fiber characteristics are presented. Based on the 3D designed model, users are analyzed on their perspective and searching information which benefits telecommunication’s company. Technical calculations like core-cladding diameter ratio in microns are animated. The propagation of light in 3D single mode and multimode fiber is simulated using SolidWorks animator that presents it real fiber conditions. Result presents 10 most country searching used of both fiber cables and the difference in users search for both cables. A number of user’s search presents 3% more of multimode than single mode fiber search cases. This research is significant in presenting an animator of single and multimode fiber to users of network infrastructure development especially network developers and Telecommunications Company which can present it lively with animator transitions.
Power system restoration in distribution network using minimum spanning tree - Kruskal’s algorithm Hasmaini Mohamad; Wan Iqmal Faezy Wan Zalnidzham; Nur Ashida Salim; Shahrani Shahbudin; Zuhaila Mat Yasin
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp1-8

Abstract

Events such as natural and manmade interference, line, transformer and feeder outages that occur in electric power distribution system negatively impact the continuity of power supply, thus affecting the power demand supply as well as customer’s satisfaction. In that cases, the restoration of power needs to be carried out immediately in order to guarantee the system’s reliability. The power flow path identification is considered as a difficult task especially in a huge system due to large number of switches. Kruskal’s algorithm is presented in this paper to find the minimum power flow path in a power distribution network. The comparison of performance between presented Kruskal’s algorithm and Binary Particle Swarm Optimization (BPSO) was made in solving a problem regarding network reconfiguration. The proposed load restoration approach is tested on IEEE 33-bus single feeder radial distribution system using MATLAB software. From the results, it is found that the presented Kruskal’s algorithm was able to search for the minimal power flow path that contribute to loss reduction for power restoration after the occurrence of fault.
Classification of Power Quality Disturbances at Transmission System using Support Vector Machines Shahrani Shahbudin; Zaki Firdaus Mohmad; Saiful Izwan Suliman; Murizah Kassim; Roslina Mohamad
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 2: May 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i2.pp310-317

Abstract

Power Quality has become one of the important issues in modern smart grid environment. Smart grid generally utilizes computational intelligence method from the generation of electricity to electricity distribution to the customers. This is done for the safety, reliability, tenacity and efficiency of the system. The classification of power disturbances has become a major topic in maintaining power quality. These disturbances occur due to faults, natural causes, load switching, energizing transformer, starting large motor, as well as utilization of power electronic devices. The key issue is about maintaining the continuous supply of electricity to the end-users without any problem. If a problem occurs, it might increase the production cost significantly especially to large-scale industries. In this paper, S-transform is used to extract distinctive features of real data from transmission system, and Support Vector Machine was utilized to classify four types PQ disturbances namely, voltage sag, interruption, transient and normal voltage. Results obtained indicate that performance of the One Against One classifier produces high accuracy using k-fold cross validation and RBF kernel.
Network intrusion detection system using immune-genetic algorithm (IGA) Hamizan Suhaimi; Saiful Izwan Suliman; Ismail Musirin; Afdallyna Harun; Roslina Mohamad; Murizah Kassim; Shahrani Shahbudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp1059-1065

Abstract

Network security is an important aspect in maintaining computer network systems and personal information from being illegally accessed by third parties. The major problem that frequently occurs in computer network systems is the failure in detecting possible network-attacks. Apart from that, the process of recognizing the type of attack that occurs is very crucial as it will determine the elimination process that should take place to counter the intrusion. This paper proposes the application of standard Genetic Algorithm (GA) that combines with immune algorithm process to enhance the computer system’s capability in recognizing possible intrusion occurrence in a computer system. Simulation was conducted numerous times to test the effectiveness of the proposed intrusion detection system by manipulating the parameter values for genetic operators utilized in GA. The effectiveness of the proposed method is shown in the gathered results and the analysis conducted further supports and proves that Immune Genetic Algorithm (IGA) has the capability to predict the occurrence of intrusion in computer network.
Power Harvesting Using Piezoelectric Shoe For External Power Storage Mohammad Saffri Mazalan; Roslina Mohamad; Murizah Kassim; Shahrani Shahbudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp655-659

Abstract

The demands for portable energy source have increased because most portable electronic device needs the extra energy throughout the day due to the user’s increase in power consumption. Hence, a piezoelectric power harvesting shoe circuit with storage mechanism capabilities is designed by using piezoelectric disc material, 1N4007 bridge rectifiers, USB cables, and an external power storage. Piezoelectric disc material of 27mm and 35 mm in size that produces AC voltage when applied pressure is embedded in shoe’ insole and the output AC voltage is converted using a bridge rectifier for each material. The output is connected to a USB cable and can be connected to the external power storage during power harvesting. Different sizes of piezoelectric disc produce different amount of voltage and are also affected by the pressure applied to it. An amount of 5V is the requirements needed to charge an external device. The 27mm disc produces a voltage of 3V to 5V depending on the pressure applied while the 35mm disc produces 4V to 6.2V. Piezoelectric disc material is an alternative way to harvest energy when embedded to a shoe with an added storage capability as it solves the problem of needing the extra energy for electronic devices.
Co-Authors Afdallyna Harun Ahmad Syahir Arif Mohd Zaid Azlina Idris Cik Ku Haroswati Che Ku Yahaya Hamizan Suhaimi Hasmaini Mohamad Ismail Musirin Mohammad Saffri Mazalan Murizah Kassim Nur Ashida Salim Roslina Mohamad Saiful Izwan Suliman Wan Iqmal Faezy Wan Zalnidzham Yuslinda Wati Mohamad Yusof Zaki Firdaus Mohmad Zuhaila Mat Yasin