Mohd Wafi Nasrudin
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Preferred name
Mohd Wafi Nasrudin
Official Name
Mohd Wafi , Nasrudin
Alternative Name
Nasrudin, Mohd Wafi
Wafi, N. M.
Main Affiliation
Scopus Author ID
57193691419
Researcher ID
FMA-4535-2022

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  • Publication
    Smart Classroom for Electricity-Saving with Integrated IoT System
    ( 2021-12-01)
    Mohd Wafi Nasrudin
    ;
    Nordin N.A.
    ;
    Ismail I.
    ;
    Jais M.I.
    ;
    Amir Nazren Abdul Rahim
    ;
    Wan Azani Wan Mustafa
    Electricity-saving can be achieved through the efficient use of energy, such as turning off lights and electrical appliances when not in use. Therefore, this work proposed the smart classroom for electricity-saving with an integrated IoT System to prevent wasting electricity in the classroom. Smart Classroom means that it will detect and count the number of students entering and exiting the classroom by using a sensor system automatically. The main objective of this work is to control the lighting systems and fans by using the IoT application and sensor system. This means that when the sensor is triggered, the sensor will send data to the Blynk application software using IoT to display the status of the classroom. This proposed work is also able to detect whether a classroom is available to use or not based on the presence of people. If the classroom is being used, the Blynk application software will show the lamp and fan are ON. Otherwise, the lamps and fans are OFF if there are no people in the classroom. The result successfully shows that if the first student entering the classroom, all the lamps and fans are ON. While, if the last student exiting the classroom, all the lamps and fans are OFF. This result also indicates that electricity can be saved if all appliances in the classroom are switch OFF at the right time.
  • Publication
    Moment Invariants Technique for Image Analysis and Its Applications: A Review
    ( 2021-07-26)
    Mohd Wafi Nasrudin
    ;
    Yaakob N.S.
    ;
    Nor Azura Abdul Rahim
    ;
    Mohd Zamri Zahir Ahmad
    ;
    Ramli N.
    ;
    Aziz Rashid M.S.
    The Moment invariant is a feature extraction technique used to extract the global features for shape recognition and identification analysis. There are many types of Moment Invariants technique since it was introduced. To date, many applications still use the Moment Invariant technique as feature extraction technique to extract the features of any images. The reason why the Moment Invariants still valid till today because its capabilities to analyze the image due to its invariant features of an image based on rotation, translation and scaling factors. Therefore, this review paper focuses to elaborate the history of Moment invariants and its applications in related fields. The summary about the advantages and disadvantages of Moment Invariants techniques will be described at the end of this review paper.
  • Publication
    An IoT-based automated gate system using camera for home security and parcel delivery
    ( 2024-02-08)
    Mohd Wafi Nasrudin
    ;
    Jamaluddin A.F.
    ;
    Ismail I.
    ;
    Norfatihah Bahari
    ;
    Vijayasarveswari Veeraperumal
    ;
    Wan Azani Wan Mustafa
    ;
    Abdul Syafiq Abdull Sukor
    ;
    Abdul Rahim A.N.
    The Internet of Things (IoT) has made it possible to set up smart home security and parcel delivery. Therefore, this work proposed an automated gate system using camera for home security and parcel delivery with integrated Internet of Things (IoT). An automated gate system will capture and identify the image of face visitors and delivery riders for admin authentication to open the gate and parcel box. This proposed work is controlled and monitored through mobile apps. The primary purpose and inspiration of this work are to help the delivery rider put the parcel into the parcel box provided if there is no person in the house, and the owner can pick up the parcel without being broken or robbed when she/he comes back home. When the delivery rider presses the button near the gate, the admin will receive the notification "Someone coming,". The admin will click the "okay"button and the system will take a picture using the camera in Blynk App. After the admin verifies that is the delivery rider, the admin will open the box and the delivery rider can access the parcel door box and put the goods inside the box. Another advantage of this work, it also allows familiar people to access our home. The same process with the delivery rider where the visitor needs to press the bell and the admin needs to verify before the visitor can access the single gate. The result indicates that this work is able to monitor and control the gate and parcel door box using an IoT application.
  • Publication
    Antenna Performance Enhancement using AMC Structure for 5G Frequency Range
    ( 2023-02-01)
    Norfatihah Bahari
    ;
    Rokhizan M.Z.N.
    ;
    Rashidah Che Yob
    ;
    Mohd Wafi Nasrudin
    ;
    Nur Hidayah Ramli
    ;
    Mohd Aminudin Jamlos
    ;
    Lago H.
    This paper presents a microstrip patch antenna operated at the fifth generation (5G) frequency range, which is at 3.5 GHz. To enhance the performance of the proposed antenna, an Artificial Magnetic Conductor (AMC) structure is implemented into the design. The 1x3 AMC is sandwiched between two FR-4 substrates and the performance of the proposed antenna is compared with the antenna without AMC structure. The simulated results prove that the proposed antenna offers better reflection coefficient with-50.45 dB compared to only-15.55 dB for the conventional antenna. Wider bandwidth is also achieved with 427 MHz of frequency bandwidth as opposed to only 135 MHz for the antenna without AMC. Besides that, the integration of AMC enhances the gain of the antenna when 3.7 dBi is achieved in contrast to only 3.21 dBi for the conventional antenna. Moreover, the efficiency of the antenna with AMC is also improved up to 68.54%. Furthermore, the ability to shrink 52.23% of the size of the antenna without AMC making it very favorable to be applied in 5G bands.
  • Publication
    Smart Management Waiting System for Outpatient Clinic
    ( 2023-02-01)
    Mohd Wafi Nasrudin
    ;
    Zainuddin N.S.A.
    ;
    Raja Abdullah Raja Ahmad
    ;
    Rashidah Che Yob
    ;
    Mohd Zamri Zahir Ahmad
    ;
    Wan Azani Wan Mustafa
    ;
    Vijayasarveswari Veeraperumal
    ;
    Zulkifli N.D.M.
    Queuing has become a common occurrence in malls, train stations, and others. Queuing especially in healthcare intuitions has become a center of attraction because of the long waiting time either at the registration or in receiving treatments. Therefore, in solving this problem, a smart management waiting system for outpatient clinics is developed by using AppGyver and Backendless as the data storage. This system will be operating by QR code scanning for administrators to obtain patients’ personal information before patients obtain the queue number via MyQUEUE mobile application (patients’ interface). By providing queue numbers through the mobile application, patients don’t have to wait in a small uncomfortable waiting lounge instead patients can wait at their desired places such as cafeteria, in their car, and others. Patients also don’t have to worry about missing their turns because there will be a 10 minutes reminder before their turn. Other than that, there is a feature that digitalized the appointment details which means patients don’t have to worry about missing their appointment book or card. The performance of both systems which are the patients’ interface and administrators’ interface is successfully designed and the output obtained. The administrator is able to assign queue numbers, notify patients 10 minutes before consultation time, and assign follow-up appointments to patients.
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