Mohd Wafi Nasrudin
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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
    Adopting Ant Colony Optimization Algorithm for Pairwise T-Way Test Suite Generation Strategy
    ( 2021-07-26)
    Nuraminah Ramli
    ;
    Rozmie Razif Othman
    ;
    Hendradi R.
    ;
    Fauzi S.S.M.
    ;
    Ismail I.
    ;
    Mohd Zamri Zahir Ahmad
    ;
    Mohd Wafi Nasrudin
    Combinatorial testing or t-way testing (t represents strength) is useful to detect faults due to interactions. Pairwise testing is one type of t-way testing. The technique is effective in reducing the number of test cases without decreasing the level of coverage. Besides, its purpose is to overcome the problem of exhaustive testing that produces a great number of test cases and is impossible to be implemented due to time and cost constraints. Pairwise T-way Test Suite Generation Strategy based on Ant Colony Optimization (pTTSGA) is introduced to generate a near-optimum test suite size. Experiments have been conducted to evaluate the ability of this strategy for pairwise testing. The results are compared to benchmark results. Overall, pTTSGA produces a comparable test suite size.
  • Publication
    Classification of fish images based on shape characteristic
    ( 2015)
    Mohd Wafi Nasrudin
    This research work has been conducted to analyze and classify the types of fish image based on shape characteristic. The features of characteristic of fish image are extracted by using three Moment Invariants (MI) techniques and Fourier descriptors (FD). The types of Moment invariants are Geometric moment invariant (GMI), United moment invariant (UMI), Zernike moment invariant (ZMI). In the FD’s technique, there are two edge detection have been used to create the boundary of the image, namely Robert cross detection and Sobel cross detection. These feature extraction techniques have been used to analyze the image due to its invariant features of an image based on translation, scaling factor and rotation. There are two ways to examine the performance of feature extraction techniques, namely intra-class analysis and classification analysis. For the intra-class analysis, a set of equations has been implemented to find the best technique among the three different types of moments and Fourier descriptors based on the low value of Total Percentage Min Absolute Error (TPMAE). Meanwhile, for the classification analysis, the Artificial Neural Network (ANN) is explored and adapted to classify the fish images. The feature vectors produce by feature extraction techniques that represent the image are used as the input of classification. The results of the intraclass analysis indicate that the UMI was the best technique among the moment techniques while Fourier descriptor by using the Sobel edge detection shows the lower TPMAE as compared to Robert edge detection. For the classification part, two types of ANN’s which are Multilayer Perceptron (MLP) and Simplified Fuzzy ARTMAP (SFAM) neural networks have been used to classify the image based on fish category. The Leverberg-Marquardt (LM) algorithm is used to train the MLP network in order to check the applicability. Based on the classification that has been computed, the results show that all networks perform good classification performance with overall accuracy is around 90%. However, the MLP trained by Leverberg-Marquardt shows the highest classification performance in classifying the fish images as compared to the SFAM network.
  • 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
    Using Unmanned Aerial Vehicle in 3D Modelling of UniCITI Campus to Estimate Building Size
    ( 2021-07-26)
    Mohd Saifizi Saidon
    ;
    Syahirah N.
    ;
    Wan Azani Wan Mustafa
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Mohd Wafi Nasrudin
    The drone mapping has a huge potential for numerous sectors including construction, agriculture, mining, infrastructure inspection and real estate. Drones are used as assisting tools in civil applications for large-scale aerial mapping of buildings, which is a difficult task for surveyors to do because of the unreachable access area, time consuming, and expensive due to limited resources and equipment. To address this issue, this paper introduces UAV-based mapping. Furthermore, when flying from a different flight plan, the UAV will capture and collect visual images. Then, the image from drone was process in Agisoft Metashape software to generate a 3D model of building. This process will go through several steps to analyze which method for capturing images can produce high-quality 3D mapping. The research results of this project are to determine which photogrammetry technique can generate a high quality of 3D mapping with accurate and fast.
  • Publication
    Cylindrical Dielectric Resonator as Dielectric Matching on Microwave Amplifier for the Unconditionally Stable and Conditionally Stable Transistor at 5 GHz Frequency
    ( 2022-12-01)
    Rashidah Che Yob
    ;
    Mahyuddin N.M.
    ;
    Ain M.F.
    ;
    Mohd Aminudin Jamlos
    ;
    Nur Hidayah Ramli
    ;
    Norfatihah Bahari
    ;
    Mohd Wafi Nasrudin
    ;
    Liyana Zahid
    Stability and matching techniques on microwave amplifier have been an important consideration to maintain their required performances, but typically its frequency dependent. Thus, a frequency variable mechanism is required. The dielectric matching employing the stability and matching techniques on microwave amplifier with cylindrical dielectric resonator has been investigated and realized. The cylindrical dielectric resonator (CDR) with parallel microstrip lines is proposed at 5 GHz frequency for unconditionally stable and conditionally stable transistor as dielectric matching. Hence, the proposed dielectric resonator with +2 mm spacing and 155Ëš of curved configuration indicated the best performances for preliminary study. The result improves the performance of the parallel inhomogeneous CDR by 9.77%. Subsequently, the homogeneous CDR is also successfully working as the variable frequency mechanism for unconditionally stable and conditionally stable transistor at 5 GHz frequency in maintaining their stability performances.
  • Publication
    Cervical cancer situation in Malaysia: A systematic literature review
    ( 2022-01-01)
    Wan Azani Wan Mustafa
    ;
    Halim A.
    ;
    Mohd Wafi Nasrudin
    ;
    Rahman K.S.A.
    Cervix cancer is one of Malaysia's most significant cancers for women (around 12.9%, with an age-standardised incidence rate of 19.7 per 100, 000). It was higher than other Asian, West, and even worldwide nations. The National Strategic Plan for Cancer Control Program 2016-2020 (Health Ministry) was presented to minimize cancer and mortality. The high incidence of cervical cancer in Malaysia is mainly due to women's insufficient knowledge about its prevention and importance. Compared with traditional literature reviews, the systemic analysis provides many advantages. A clearer review process, a more prominent field of study, and essential priorities that can manage research bias can all help to enhance these reviews. However, better integration, cooperation, and coordination between government and private sector as well as NGOs and professional organisations are essential for optimal cancer control and treatment across the country.
  • 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
    Edge Enhancement and Detection Approach on Cervical Cytology Images
    ( 2022-09-01)
    Alias N.A.
    ;
    Wan Azani Wan Mustafa
    ;
    Mohd Aminudin Jamlos
    ;
    Mohd Wafi Nasrudin
    ;
    Mansor M.A.s.
    ;
    Alquran H.
    Cervical cancer is a prevalent and fatal disease that affects women all over the world. This affects roughly 0.5 million women annually and kills over 0.3 million people. Recently, a significant amount of literature has emerged around the advancement of technologies for identifying cervical cancer cells in women. Previously, diagnosing cervical cancer was done manually, which could lead to false positives or negatives. The best way of interpreting Pap smear images and automatically diagnose cervical cancer are still up for debate among the researchers. Method used in this study is the contrast enhancement technique for pre-processing and edge detection-based for segmentation of the nucleus. In this study, the average performance results of the method showed an accuracy of 96.99% in the seven-class problem using Herlev dataset. The present finding also support this study which concluded the results of accuracy achieved for the algorithm used for nucleus detection is improved by 6.15% when comparing to previous work. The accuracy value is in the lines of earlier literature that achieved accuracy of the approach used above 90% for seven class of cells. The major feature of the suggested approach is an improvement in the ability to anticipate which cells are aberrant and which are normal. Adding more classifiers could improve the suggested system even further. Therefore, a cervical cancer screening system might utilize this framework to identify women who have precancerous lesions.