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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Electrical Engineering and Computer Science
Norulhusna Ahmad
Universiti Teknologi Malaysia
Computer Science & IT Electrical & Electronics Engineering Engineering

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Exploiting 2-Dimensional Source Correlation in Channel Decoding with Parameter Estimation Muhammad Izzat Amir Mohd Nor; Mohd Azri Mohd Izhar; Norulhusna Ahmad; Hazilah Md. Kaidi
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 4: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.664 KB) | DOI: 10.11591/ijece.v8i4.pp2633-2642

Abstract

Traditionally, it is assumed that source coding is perfect and therefore, the redundancy of the source encoded bit-stream is zero. However, in reality, this is not the case as the existing source encoders are imperfect and yield residual redundancy at the output. The residual redundancy can be exploited by using Joint Source Channel Coding (JSCC) with Markov chain as the source. In several studies, the statistical knowledge of the sources has been assumed to be perfectly available at the receiver. Although the result was better in terms of the BER performance, practically, the source correlation knowledge were not always available at the receiver and thus, this could affect the reliability of the outcome. The source correlation on all rows and columns of the 2D sources were well exploited by using a modified Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm in the decoder. A parameter estimation technique was used jointly with the decoder to estimate the source correlation knowledge. Hence, this research aims to investigate the parameter estimation for 2D JSCC system which reflects a practical scenario where the source correlation knowledge are not always available. We compare the performance of the proposed joint decoding and estimation technique with the ideal 2D JSCC system with perfect knowledge of the source correlation knowledge. Simulation results reveal that our proposed coding scheme performs very close to the ideal 2D JSCC system.
Classification of adult autistic spectrum disorder using machine learning approach Nurul Amirah Mashudi; Norulhusna Ahmad; Norliza Mohd Noor
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i3.pp743-751

Abstract

Autism spectrum disorder (ASD) is a neurological-related disorder. Patients with ASD have poor social interaction and lack of communication that lead to restricted activities. Thus, early diagnosis with a reliable system is crucial as the symptoms may affect the patient’s entire lifetime. Machine learning approaches are an effective and efficient method for the prediction of ASD disease. The study mainly aims to achieve the accuracy of ASD classification using a variety of machine learning approaches. The dataset comprises 16 selected attributes that are inclusive of 703 patients and non-patients. The experiments are performed within the simulation environment and analyzed using the Waikato environment for knowledge analysis (WEKA) platform. Linear support vector machine (SVM), k-nearest neighbours (k-NN), J48, Bagging, Stacking, AdaBoost, and naïve bayes are the methods used to compute the prediction of ASD status on the subject using 3, 5, and 10-folds cross validation. The analysis is then computed to evaluate the accuracy, sensitivity, and specificity of the proposed methods. The comparative result between the machine learning approaches has shown that linear SVM, J48, Bagging, Stacking, and naïve bayes produce the highest accuracy at 100% with the lowest error rate.
All optical Millimeter-wave signal generation and transmission for radio over fiber (RoF) link Norliza Mohamed; Sevia Mahdaliza Idrus; Azura Hamzah; Suriani Mohd Sam; Norulhusna Ahmad; Hazilah Md Kaidi; Rudzidatul Akmam Dziyauddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1428-1435

Abstract

Fiber-based wireless system has become a promising solution as a cost- effective communication and it offers high capacity network with millimeter- wave (mm-wave) signal transmission. The system significantly offers superior possible bandwidths for both fiber and free-space applications. Hence, with the increased capacity as well as wireless mobile network applications particularly at mm-wave signal, radio over fiber (RoF) technology is the utmost option. Nevertheless, when high frequency signal transmission is involved, power fading or dispersion effect limits the performance of RoF link. Therefore, this work proposed a RoF system by integrating remote optical local oscillator (LO) with frequency up-conversion at the base station (BS). All optical mm-wave signals are generated and transmitted for the RoF link. The effects of the changes of fiber loop length, optical power of the continuous wave (CW) optical laser carrier and responsivity value of the p-i-n photodiode (PD) mainly at 40 GHz are investigated and the power fading effects are discussed.
PAPR Reduction Techniques in Generalized Inverse Discrete Fourier Transform Non-Orthogonal Frequency Division Multiplexing System Iram Maisarah Mokhtar; Norulhusna Ahmad; Hazilah Mad Kaidi; Mohd Azri Mohd Izhar; Norliza Mohamed
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i3.pp1045-1052

Abstract

A promising system of Generalized Inverse Discrete Fourier Transform Non-Orthogonal Frequency Division Multiplexing (GIDFT n-OFDM) system can fulfil the requirement of supporting higher data rate in Fifth Generation (5G) technology. However, this system experience High Peak to Average Power Ratio (PAPR) due to massive number of subcarriers signal is transmitted. In this paper, three types of usual PAPR reduction techniques were applied in GIDFT n-OFDM system which are Clipping, Partial transmit Transform (PTS) and Selective Mapping (SLM). The system performance is compared and evaluated using Complementary Cumulative Distribution Function (CCDF) plot. Simulation results show that SLM technique give significant reduction of PAPR 9 dB of the original performance.
Engaging youths in skill development through network system wiring workshop in rural area Hazilah Mad Kaidi; Norulhusna Ahmad; Nor Fazilah Mohd Hashim; Fatimah Salim; Mohd Nabil Muhtazaruddin; Nurul Aini Bani; Norliza Mohamed; Rafizah Musa; Siti Armiza Mohd Aris; Siti Zura A Jalil
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i2.pp950-955

Abstract

Nowadays, youths underuse their time, energy and creativity in a vast number of other activities, which lead to almost nothing in return. Thus, to fully utilise their huge potential of skills and abilities is by offering productive ways to attract young people in educational-related activities. This paper is presenting the community project on the network wiring system workshop that has been conducted for the young generation at Kg. Serting Ulu, Simpang Pertang Jempol, Negeri Sembilan, Malaysia. The aim of participating in this project is to deliver the knowledge base and develop skills in technology and engineering. In addition, it is also intended to develop interpersonal skills, communication and lifelong learning as well as to increase the ability of a young generation to generate a side income by venturing into entrepreneurship field. Participants in this network system wiring workshop were exposed to a multitude of basic installation and wiring techniques in which they were able to shape their personalities with the advantage of acquired technology and engineering skills. As a result, the return on investment (RoI) and social return on investment (SRoI) targets for the workshop can be achieved. It was conducted at a rural area named as Kampung Serting Ulu, Simpang Pertang Jempol, Negeri Sembilan, Malaysia. 
A standard ranking algorithm for robust iris template protection Mohammed Ali Hameed Yassir; Rudzidatul Akmam Dziyauddin; Norshaliza Kamaruddin; Norulhusna Ahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 2: May 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i2.pp1214-1225

Abstract

In iris biometric recognition systems, protecting the storage and transmission of iris templates is crucial, and template protection techniques are pivotal for ensuring their security. A prevalent approach involves using indexing methods as an effective algorithm for iris template protection, leveraging the index or rank of the extracted iris code to generate a secure iris template. Meantime, many privacy threats to biometric data have emerged, necessitating heightened protection measures. Specifically, protecting the privacy of iris data is imperative within the context of iris template protection during recognition processes. As stipulated by the international standard ISO/IEC 30136, effective iris template protection must concurrently meet the criteria of irreversibility, revocability, and unlinkability. Nevertheless, existing indexing methods on iris template protection faced the formidable challenge of simultaneously fulfilling these three privacy requirements while maintaining the efficacy of iris recognition. This paper introduces a standard ranking (standardR) algorithm, named standardR, designed to enhance the security of iris templates by transforming each iris template into an irreversible representation. The experimental results on the benchmarked Casia-Iris-interval dataset, along with two additional iris datasets MMU1 and UBRIS 1, demonstrate the efficacy of the proposed algorithm. The proposed standardR algorithm achieves an equal error rate (EER) of 0.1695% and an area under the curve of 0.93011% with the Casia-Iris-Interval dataset. Furthermore, the algorithm maintains efficient recognition with a reduced iris code length of 1280 bits, a time complexity of O(n log n), and satisfies the biometric template protection (BTP) requirements in irreversibility, unlinkability, and renewability.
Co-Authors Azura Hamzah Fatimah Salim Hazilah Mad Kaidi Hazilah Md Kaidi Hazilah Md. Kaidi Iram Maisarah Mokhtar Mohammed Ali Hameed Yassir Mohd Azri Mohd Izhar Mohd Nabil Muhtazaruddin Muhammad Izzat Amir Mohd Nor Nor Fazilah Mohd Hashim Norliza Mohamed Norliza Mohd Noor Norshaliza Kamaruddin Nurul Aini Bani Nurul Amirah Mashudi Rafizah Musa Rudzidatul Akmam Dziyauddin Sevia Mahdaliza Idrus Siti Armiza Mohd Aris Siti Zura A Jalil Suriani Mohd Sam