Aznor Hanah Abdul Halim
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Preferred name
Aznor Hanah Abdul Halim
Official Name
Aznor Hanah , Abdul Halim
Alternative Name
Aznor Hanah, A. H.
Halim, Aznor Hanah Abdul
Hanah, Aznor
Main Affiliation
Scopus Author ID
57210246036
Researcher ID
CUG-6266-2022

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Cross-layer optimization for VANET city scenario using Taguchi mechanism

2022-02-14 , Aznor Hanah Abdul Halim , Rohani S Mohamed Farook , Mohamad Rizal Abdul Rejab , Mohd Fairuz Muhamad Fadzil , Elias S.J. , Dawam S.R.M.

Because of the dynamic vehicle density, vehicle speed, and unexpected and harsh communication environment, the Vehicular Ad Hoc Network (VANET) differs from conventional ad hoc networks in terms of functioning. VANET has two primary applications: safety and non-safety. Network optimization is one method of preserving current protocols and other network characteristics rather than inventing and implementing new enhanced protocols, which is prohibitively expensive. As a result, this study proposes an optimization city scenario of VANET for maximizing throughput and packet delivery ratio (PDR) while reducing delay using the Taguchi method. For three target performances evaluated, packet size has the highest rank control factors for two conditions. Packet size plays the major control factor in contributing to lower delay and maximizing throughput. Therefore, packet size is a major control factor and is applicable for optimizing both safety and non-safety applications focusing on the city scenarios of VANET.

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Publication

Real-Time Flood Monitoring System Using Raspberry PI

2020-12-18 , Fairuz M.F.M. , Mohamad Rizal Abdul Rejab , Rohani S Mohamed Farook , Aznor Hanah Abdul Halim , Najihah Abdul Rashid , Rifaat M.N.M.

Flood has been a major concern for a very long time and the inability to monitor it in real-time has been a major disadvantage in maintaining a healthy hydrologic process. The main problem in monitoring flood is the amount of time taken for data to reach users and how long the data is relevant for as in monitoring flood, timing is the crucial key. This research proposes a Real-Time Flood Monitoring System that can aid in monitoring flood more efficiently. The system utilizes a set of sensors connected to a single-board computer that determines values in which is vital in monitoring flood. To ensure a fast transmission of data, the values are transferred over Wide Area Network (WAN) to host these values on a remote server. The remote server hosts these data on a website and application which is made accessible for the public with an ease of access. As a result, it can be viewed by users who wish to know the necessary values in determining danger level and further actions can be taken in ensuring their safety. Data which is transferred on real-time allow less time to be taken in order for the news to spread around as time is very crucial in saving people from natural disasters. These data also have a great importance for safety enforcement to be used in determining safety precautions that can be taken in order to ensure the safety of people around a particular area.

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Publication

The Stability of The Combat Technique in Seni Silat Cekak Malaysia

2024-06-07 , Aznor Hanah Abdul Halim , Rohani S Mohamed Farook , Mohamad Rizal Abdul Rejab , Mohd Fairuz M. Fadzil , Mohammad Shahril Salim

This paper presents the stability of the performer of Seni Silat Cekak Malaysia (SSCM) when performing the combat technique of SSCM buah jatuh, especially the Buah Kilas Hadapan (BKH). Comparisons are made when SSCM practitioners perform the movement with and without a sparring partner. The analysis of the study refers to the Center of Gravity (COG-Centre of Gravity) on the sole of the left foot that supports the SSCM performer's body when performing the movement of BKH. This study was conducted using Motion Capture System. The Oqus (camera) is placed around the platform which is used to record the movement of the human body through markers attached to the body. The data obtained is stored and processed through Qualisys Track Manager (QTM) and Visual 3D software. Data on the movement of BKH was recorded on two SSCM respondents of different genders. The Center of Gravity Point on the left foot of the SSCM practitioner was compared and analyzed. Axis changes on the left foot of SSCM respondents are mainly focused on the medial and lateral axis (left and right) when performing the BKH. The results of this study show a minimal coordinate change on the axis (0.02m to 0.06m) from the medial and lateral angles of the Center of Gravity on the left leg of the SSCM respondents proving that the BKH is stable.

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Motion detection system for recognition of early sign of depression

2022-02-14 , Aliza Ya'Kob N.A. , Rohani S Mohamed Farook , Aznor Hanah Abdul Halim , Mohd Fairuz Muhamad Fadzil , Mohamad Rizal Abdul Rejab , Elias S.J.

Depression is one of the mental health disorders that affect many humans, especially campus students. In certain cases, people with depression-prone to commit suicide without any warning signs and symptoms observed by family and friends. There is a need to be able to identify and proceed for treatment from the professionals as soon as possible. There is a lack of tools to identify students' depression behavior through quantified motion characteristics. The advancement of algorithms could be used in detecting such behaviors. This research is motivated to classify depression among students using artificial intelligence. The motion characteristics are quantified using accelerometer and GPS data and trained using neural networks to enable human activity prediction. Once predicted the prone to depression behavior notification will be sent to alert the user on their mental health condition. The user should react and respond to the alert and meet their doctors for further treatment.

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