Muhamad Safwan Muhamad Azmi
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Preferred name
Muhamad Safwan Muhamad Azmi
Official Name
Muhamad Safwan , Muhamad Azmi
Alternative Name
Muhamad Azmi, M. S.
Muhamad Azmi, Muhamad Safwan Bin
Azmi, Muhamad Safwan Muhamad
Azmi, M. Safwan
Azmi, M. S.M.
Main Affiliation
Scopus Author ID
57193842601
Researcher ID
P-2583-2018

Research Output

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  • Publication
    Efficiency analysis of a passive daylighting system based on Northern Malaysia’s climate
    (Semarak Ilmu Publishing, 2025-04)
    Mohd Sani Mohamad Hashim
    ;
    Muhammad Amin Zulkifli Din
    ;
    Abdul Halim Ismail
    ;
    Mohd Hafif Basha Mohamad Jamel Basha
    ;
    Nasrul Amri Mohd Amin
    ;
    Ng Yi Fei
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Siti Marhainis Othman
    ;
    Nur Saifullah Kamarrudin
    Daylighting design strategy is important in order to have adequate lighting source in a room and necessary to decrease energy consumption for artificial lighting. Passive daylighting system utilizes daylight by collecting, reflecting and diffusing the natural light throughout a given area. The purpose for this study is to monitor, compare and analyse an optimum light pipe system design that can scatter daylight into a room based on three case studies. Lighting analysis was conducted using Autodesk 3ds Max Design software throughout the project based on the actual geographical parameters of Universiti Malaysia Perlis, Malaysia and also using the real sun azimuth on working hours. The results were compared according to the respective designs in order to observe the maximum internal illuminance and the average internal illuminance. The results show that the straight geometry with low aspect ratio produces the highest interior light intensity among other light pipe systems and the average internal illuminance values in the room was able to reach the minimum requirement of a small room which is 200 – 500 lux.
  • Publication
    Analysis of WiFi Spatio-Temporal Data for Organic Fingerprinting-based Indoor Positioning System
    ( 2022-01-01)
    Abdul Halim Ismail
    ;
    Amirah Husna Mohd Hajazi
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Mohd Sani Mohamad Hashim
    ;
    Mohd Nasir Ayob
    ;
    Hassrizal Hassan Basri
    The mobile robot navigation is the next huge topic after positioning utilizing fingerprinting-based Wireless Positioning System (WPS). Many of recent works does not discuss this topic yet since many open problems in positioning topic are not yet solved, for instance the issues on multi-devices heterogeneity, instability of WiFi signals, granularity problems in grid-based indoor environment and many others. However, we anticipate that both positioning and navigation works must run in parallel so that the succession are guaranteed. This paper describes the analysis of spatio-temporal data of the signal obtained from the WiFi Access Point. Initial results suggest that the difference between transmitter heights have an effect on the spatio-temporal data while the handover of maximum signal strengths is inherent when three WiFi APs are used.
      1
  • Publication
    Robot Face and Its Integration to the Mobile Robot for Wireless Signal Collection in the Fingerprinting-Based Indoor Positioning System
    ( 2021-12-01)
    Sarhan M.A.H.
    ;
    Abdul Halim Ismail
    ;
    Mohd Nasir Ayob
    ;
    Hashim M.S.M.
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Hassrizal Hassan Basri
    ;
    Siti Marhainis Othman
    ;
    Muhammad Juhairi Aziz Safar
    The wireless data collection for instance the Received Signal Strength (RSS) of the Wireless Fidelity (Wi-Fi) remained unfavourable in the Indoor Positioning System utilizing the signal fingerprinting approach. This is because the enormous sampling time and routines works making it tedious human labour. To alleviate this issue, we propose to use a robot for wireless data collection. The robot, named 'ICSiBOT' is a service robot with multiple purpose such as assisting human in daily lives, guest or hospitality robot and man others. This paper mainly describes the ICSiBOT robot face with speech recognition technology and the integration of the robot face to the motion controller. The experimental was conducted to see the correlation between the synthesized instructions from the speech in terms of distance need to be travelled i.e., the location for wireless signal collection and translate them into actual distance travelled. The results showed that the robot is able to travel to the specific distance as instructed to the robot face.
      1
  • Publication
    A Device-to-Device (D2D) Communication between Mobile Robots using Wireless Communication Protocol in Dynamic Environments
    ( 2024-03-11)
    Sarhan M.A.H.
    ;
    Hashim M.S.M.
    ;
    Abdul Halim Ismail
    ;
    Mohd Nasir Ayob
    ;
    Hassrizal Hassan Basri
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Othman S.M.
    ;
    Kanafiah S.N.A.M.
    ;
    Muhamad Khairul Ali Hassan
    Mobile robots must have the ability to guarantee safety for operation in a dynamic environment and close to other moving objects. There are many research had been conducted to make the robot safer by utilizing sensors and big data technology to make the mobile robot able to navigate autonomously and intelligently. One of the key elements in autonomous robots is communication between robots. In this paper, device-to-device (D2D) technology has been used to develop communication between robots. To establish the algorithm for D2D communications, radio frequency (RF) used as communication protocols that can perform D2D communication in real-time applications. The performance of D2D communication was then be assessed in terms of distance and latency. RF transceiver module has been mounted on the robot with Arduino to allow communication between mobile robot to other mobile robots in order to transfer data from robot's sensors to the other mobile robots. By utilizing the gathered information and data, the robot can assess its surroundings and predict the movement of other robots to avoid collisions between robots. The results show that the RF transceiver module is capable to send and receive data between two robots with latency up to 4.865s. It is envisaged that the proposed module can be very useful for developing D2D communication between robots to operate in dynamic environments.
      58  8
  • Publication
    Effect of Sample Sizes in Fingerprinting Database for Wi-Fi System
    ( 2021-01-01)
    Sa’ahiry A.H.A.
    ;
    Abdul Halim Ismail
    ;
    Muhammad Juhairi Aziz Safar
    ;
    Latifah Munirah Kamarudin
    ;
    Mohd Sani Mohamad Hashim
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Toyoura M.
    Indoor positioning system has been an essential work to substitute the Global Positioning System (GPS). GPS utilizing Global Navigation Satellite Systems (GNSS) cannot provide an accurate positioning in the indoor due to the multipath effect and shadow fading. Fingerprinting method with Wi-Fi technology is a promising system to solve this issue. However, there are several problems with the fingerprinting method. The fingerprinting database collected has different sample sizes where the previous researcher does not indicate any standard for the sample size to be used. In this paper, the effect of the sample sizes in fingerprinting database for Wi-Fi technology has been discussed deeply. The statistical analyzation for different sample sizes has been analyzed. Furthermore, two methods which are K- Nearest Neighbor (KNN) and Deep Neural Network (DNN) are being used to examine the effect of the sample sizes in term of accuracy and distance error. The discussion in this paper will contribute to the better sample size selection depending on the method taken by the user. The result shows that sample sizes are an important metrics in developing the indoor positioning system as it effects the result of the location estimation.
      1  38
  • Publication
    Determination of blind spot zone for motorcycles
    ( 2019-12-02)
    Mohd Sani Mohamad Hashim
    ;
    Hamati A.A.A.
    ;
    Mohd Hafzi M.I.
    ;
    Shahriman Abu Bakar
    ;
    Abdul Halim Ismail
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Azizi Harun
    ;
    Zuradzman Mohamad Razlan
    ;
    Nur Saifullah Kamarrudin
    ;
    Ishak Ibrahim
    ;
    Mohd Khairul Faizi Abd Rahman
    ;
    Mohd Asrul Md Saad
    ;
    Mohd Afendi Rojan
    The problem of the blind spot zone (BSZ) for motorcycles is common, as it causes many accidents that occur between motorcycles and cars, or motorcycles with other vehicles. The problem of BSZ is occurring for many reasons, such as if the motorcyclist wants to change the lane or manoeuvre or turn without realizing the presence of other vehicle which may cause a terrible collision and leads to casualties, either because of darkness, the full dependence on side mirrors that give a limited scope of vision, or due to a malfunction in the front lights of the car that prevented the motorcyclists from recognizing it. However there were limited research on identifation of BSZ for motorcycle, even though most vehicle accidents in Malaysia involved motorcycles. This paper discusses the initial works on the identification of BSZ for motorcyles. Three types of motorcycles were used to determine the BSZ using grid-based technique. From the data collected, the BSZ was identified for the motorcycles.
      2
  • Publication
    Does the Height Matter? A Case for Wi-Fi based Wireless Positioning System
    ( 2023-01-01)
    Abdul Halim Ismail
    ;
    Sunang G.A.
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Mohd Nasir Ayob
    ;
    Mohd Sani Mohamad Hashim
    ;
    Hassrizal Hassan Basri
    ;
    Widyasmoro W.
    ;
    Ismail M.M.
    Wireless Positioning System (WPS) is an emerging field rises with the aim to minimize the development and algorithm cost as well as applicable in many applications. The methods are rather straightforward compared to the use of conventional on-board sensing elements that often require fusion of several sensors as well as complex algorithms. Wireless Fidelity (Wi-Fi) is the choice of elements in WPS due to wide availability as well as use of existing infrastructure. One interesting factor to consider in obtaining higher positioning accuracy is to assess the Wi-Fi height level. Many previous studies proposed optimization of the Wi-Fi antenna heights, but our direction is towards experimental works to observe if the antenna heights does matter or is it a totally insignificant parameter. Three different analyses were conducted on the data, which are statistical, two-layer average and quotient calculations. The results are validated for our experiments heights from 0.5 to 2.0 meter.
      1  44
  • Publication
    Vision-Based Edge Detection System for Fruit Recognition
    ( 2021-12-01)
    Tan S.H.
    ;
    Lam Chee Kiang
    ;
    Kamarulzaman Kamarudin
    ;
    Abdul Halim Ismail
    ;
    Norasmadi Abdul Rahim
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Wan Mohd Nooriman Wan Yahya
    ;
    Sneah G.K.
    ;
    Seng M.L.
    ;
    Hai T.P.
    ;
    Lye O.T.
    There are variety of fruits around the world, different types of fruits contain different types of nutrients and vitamins which could benefits our health. In order to understand which fruit can provide specific type of nutrients, we need to identify the types of fruits. However, fruits grow in a different shape, colour and texture based on the country they were planted and the environment of the land. Implementing a machine vision-based recognition on the fruits can help people recognize them easily. In this paper, an edge detection method is applied using computer vision approach to recognize different types of fruits. The fruits are classified based on the features extracted from their images. In the experiment, a total of 450 images of three types of fruit are used, which are apples, lemons and mangoes. Pre-processing steps are applied on the captured image to improve the quality of fruit details and the edge features are extracted using Canny Edge Detection method. Classification of the fruits is accomplished using two different types of learning model, the deep leaning model, Convolution Neural Network (CNN) and machine learning model, Support Vector Machines (SVM). The performance of both classifiers is compared and the model with the best performance, SVM is chosen as the model for the system. The system can achieve 86% classification accuracy with the SVM model, which is good enough for fruit recognition.
      2  26
  • Publication
    Analysis of WiFi Spatio-Temporal Data for Organic Fingerprinting-based Indoor Positioning System
    ( 2022-01-01)
    Abdul Halim Ismail
    ;
    Hajazi A.H.M.
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Mohd Sani Mohamad Hashim
    ;
    Mohd Nasir Ayob
    ;
    Hassrizal Hassan Basri
    The mobile robot navigation is the next huge topic after positioning utilizing fingerprinting-based Wireless Positioning System (WPS). Many of recent works does not discuss this topic yet since many open problems in positioning topic are not yet solved, for instance the issues on multi-devices heterogeneity, instability of WiFi signals, granularity problems in grid-based indoor environment and many others. However, we anticipate that both positioning and navigation works must run in parallel so that the succession are guaranteed. This paper describes the analysis of spatio-temporal data of the signal obtained from the WiFi Access Point. Initial results suggest that the difference between transmitter heights have an effect on the spatio-temporal data while the handover of maximum signal strengths is inherent when three WiFi APs are used.
      2
  • Publication
    Algorithm development for Vehicle-To-Vehicle (V2V) communication
    ( 2023-01-01)
    Radman M.A.Y.
    ;
    Mohd Nasir Ayob
    ;
    Hasim M.S.M.
    ;
    Abdul Halim Ismail
    ;
    Muhamad Safwan Muhamad Azmi
    ;
    Hassrizal Hassan Basri
    This paper presents the development of an algorithm for Vehicle-to-Vehicle (V2V) communication, a crucial technology in Intelligent Transportation Systems (ITS) that holds significant potential for enhancing road safety and traffic efficiency. One of the most common types of vehicle collisions occurs at intersections, particularly those without traffic lights. This study focuses on creating a V2V algorithm designed to prevent collisions in such scenarios. The findings were presented through visual simulations that depict various scenarios involving vehicles approaching an intersection. The algorithm follows a two-step process: Firstly, it utilizes Dedicated Short-Range Communication Systems (DSRCS) to accurately estimate the distance between vehicles. Leveraging this distance information, the algorithm dynamically adjusts the speed of each vehicle. The algorithm's performance is assessed using Convolutional Neural Networks (CNN), which enables a comprehensive evaluation of its reliability and efficiency in V2V communication. The algorithm demonstrates notable enhancements in the reliability and efficiency of V2V communication. This paper serves as a validation of the feasibility of developing more advanced V2V communication algorithm and potentially making significant contributions to the advancement of ITS.
      2  48