Wan Azani Wan Mustafa
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Preferred name
Wan Azani Wan Mustafa
Official Name
Wan Azani, Wan Mustafa
Alternative Name
Mustafa, W.
Azani Mustafa, Wan
Mustaffa, Wan Azani
Wan Mustafa, Wan Azani
Main Affiliation
Scopus Author ID
57219421621
Researcher ID
J-4603-2014

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  • Publication
    Aquaponic Ecosystem Monitoring with IOT Application
    ( 2023-08-01)
    Muhammad Naufal Mansor
    ;
    Mohd Zamri Hasan
    ;
    Mohamed Mydin Hj M.Abdul Kader
    ;
    Wan Azani Wan Mustafa
    ;
    Syahrul Affandi Saidi
    ;
    Mohd Aminudin Jamlos
    ;
    Noor Anida Abu Talib
    Aquaculture is an agricultural technology that combines aquaculture (fish farming activities) with hydroponic activities (planting crops without soil media) in one circulation. The most important element in aquaculture is the existence of fish, plants, and bacteria. These three elements form a mutually beneficial relationship or symbiotic mutualism. The main purpose of the aquaculture system is to maintain water quality and reduce ammonia levels from the water so that it can be utilized by other organisms. In addition, aquaculture can also save space and can produce two types of human food simultaneously, plants and livestock. Agricultural technology design with Aquaculture also uses the concept of Internet of Things (IoT) as information from sensors and sensors of value generator is accessible through applications installed on smartphones from anywhere with an Internet connection. Development of monitoring of aquaponic ecosystems with IoT systems was developed using a program using micro-controls to control temperature, humidity, pH levels and water pumps. There are some improvements made to this project.
  • Publication
    Mobile Green E-Waste Management Systems using IoT for Smart Campus
    ( 2021-07-26)
    Khairul Najmy Abdul Rani
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Ong B.T.
    ;
    Muzammil Jusoh
    ;
    Mohd Najib Mohd Yasin
    ;
    Thennarasan Sabapathy
    ;
    Wan Azani Wan Mustafa
    ;
    Mohd Aminudin Jamlos
    ;
    R Badlishah Ahmad
    ;
    Hammood D.A.
    This paper presents the design and development of mobile "green"electronic waste (e-waste) management systems using Internet of Things (IoT) for smart campus. The system uses Raspberry Pi 3 Model B v1.2 microcontroller for monitoring e-waste object detection, e-waste count, and bin percentage level, respectively. TensorFlow Lite application programming interface (API) is used to run Single Shot Multibox Detector (SSD)Lite-MobileNet-v2 model trained on Microsoft Common Objects in Context (MSCOCO) dataset for e-waste object detection in image. All the monitoring data are stored and retrieved in ThingSpeak cloud platform using Hypertext Transfer Protocol (HTTP) and Message Queuing Telemetry Transport (MQTT) protocol over the Internet and displayed via interactive Android-based mobile user interface (UI). Furthermore, automatic e-mail notification will be sent to waste collector for bin collection whenever e-waste bin percentage level is greater than predetermined threshold value of 80% full.
  • Publication
    Conductance property effect towards metamaterial performances for light application
    ( 2023-06-12)
    Marzuki M.K.
    ;
    Mohd Aminudin Jamlos
    ;
    Wan Azani Wan Mustafa
    ;
    Syed Zulkarnain Syed Idrus
    Unit cell is a meta-atom structured to form a metamaterial. The size of the unit cell is related to the frequency of waves. The structure size is smaller than the wavelength of the incident waves. Since light frequency used is Terahertz, the size of unit cell is in nanometer. Unit cell geometrical shape is design using copper and it placed on the Rogers substrate. It designed based on the desired of the researcher. There is no specific design assigned to specific application. The objective in this paper is to exhibit the negative refractive index or negative index material that is capable to bend the light wave. H Shape design has been used widely as a design to manipulate the electromagnetic waves but none of them used for higher frequency such as light frequency. The negative value of material properties obtained from the simulation of the metamaterial at three different part which are at phase=0, real value and imaginary value. CST Microwave Studio 2018 used as a simulation software. The results show all the negative value of material properties obtained at different frequency range. However, the negative value of material properties at phase=0 and imaginary part is obtained at same frequency range. While for real part, the negative value for all material properties occurred at different frequency range. This H-Shape design is suitable to manipulate the lights radiation waves.
  • Publication
    Contrast Correction Using Hybrid Statistical Enhancement on Weld Defect Images
    ( 2022-01-01)
    Wan Azani Wan Mustafa
    ;
    Yazid H.
    ;
    Alkhayyat A.
    ;
    Mohd Aminudin Jamlos
    ;
    Hasliza A Rahim @ Samsuddin
    ;
    Salimi M.N.
    Luminosity and contrast variation problems are among the most challenging tasks in the image processing field, significantly improving image quality. Enhancement is implemented by adjusting the dark or bright intensity to improve the quality of the images and increase the segmentation performance. Recently, numerous methods had been proposed to normalise the luminosity and contrast variation. A new approach based on a direct technique using statistical data known as Hybrid Statistical Enhancement (HSE) is presented in this study. The HSE method uses the mean and standard deviation of a local and global neighbourhood and classified the pixel into three groups; the foreground, border, and problematic region (contrast & luminosity). The datasets, namely weld defect images, were utilised to demonstrate the effectiveness of the HSE method. The results from the visual and objective aspects showed that the HSE method could normalise the luminosity and enhance the contrast variation problem effectively. The proposed method was compared to the two (2) populor enhancement methods which is Homomorphic Filter (HF) and Difference of Gaussian (DoG). To prove the HSE effectiveness, a few image quality assessments were presented, and the results were discussed. The HSE method achieved a better result compared to the other methods, which are Signal Noise Ratio (8.920), Standard Deviation (18.588) and Absolute Mean Brightness Error (9.356). In conclusion, implementing the HSE method has produced an effective and efficient result for background correction and quality images improvement.
  • Publication
    Contrast enhancement approaches on medical microscopic images: a review
    ( 2021-01-01)
    Nahrawi N.
    ;
    Wan Azani Wan Mustafa
    ;
    Siti Nurul Aqmariah Mohd Kanafiah
    ;
    Mohd Aminudin Jamlos
    ;
    Wan Khairunizam Wan Ahmad
    Nowadays, there are many method for medical identification that exist for example based on microscopic and nonmicroscopic. Microscopic is a method that use microscope to capture an image and identify the disease based on the image captured. The image quality of medical image is very important for patient diagnosis. Image with poor contrast and the quality of the image is not good may lead to the mistaken decision, even in experienced hands. Therefore, contrast enhancement methods was proposed in order to enhance the image quality. Contrast enhancement is a process that improves the contrast of an image to make various features more easily perceived. Contrast enhancement is widely used and plays important roles in image processing application. This paper review the contrast enhancement techniques was used in microscopic images. There are microscopic images for cervical cancer, leukemia, malaria, tuberculosis and anemia.
  • Publication
    Contrast enhancement on pap smear cell images: A comparison
    ( 2023-06-12)
    Hameed M.S.S.
    ;
    Wan Azani Wan Mustafa
    ;
    Syed Zulkarnain Syed Idrus
    ;
    Mohd Aminudin Jamlos
    ;
    Alquran H.
    Cervical cancer is a common disease that can be carried by women. It is the 3rd leading cause of female cancer in Malaysia and the 4th most common type of cancer for women globally. Referring to the HPV Information Centre in 2018, it is estimated that 1682 women are diagnosed and 944 die from having cervical cells. In 2018, 569, 847 of the 18,078,957 cases were categorised as cervical cancer, which is 3.2%. With the advancement in science and technology, cervical cancer can be detected at an early stage by conducting a Pap smear test. This test will filter abnormal cervical cells and detect precancerous changes in cervical cells based on the colour and shape properties of their nuclei and cytoplasm. The problem is that performing the procedure manually can be time-consuming and cause inconsistencies and errors even further because the cervical cell itself does not show an obvious difference in texture and colour from normal cells. This paper will focus on colour contrast enhancement of the cervical cell using a few methods such as Contrast Stretching (CS), CLAHE, Histogram Equalization (HE), Image Adjustment, and Multi Scale Retinex (MSR). From this research, the cervical cell colour contrast can be enhanced to a better level and the detection of cervical cells can happen faster and more accurately. Hence, the errors in detecting can be reduced again so they can be treated soon.
  • Publication
    Development of Surveillance Hovercraft via Arduino
    ( 2024-02-01)
    Muhammad Naufal Mansor
    ;
    Syahrul Affandi Saidi
    ;
    Wan Azani Wan Mustafa
    ;
    Roejhan Md Kawi
    ;
    Mohd Aminudin Jamlos
    ;
    Talib N.A.A.
    ;
    Mohd Zamri Hasan
    The current research focuses on the development of hovercraft via Arduino. The vehicle is designed with bag skirt structure in order to reduce friction for smooth operation. Nowadays, there are a lot of natural disaster occur in everywhere especially flood. However, hovercraft is a vehicle that need a driver to drive which can cause a danger to the rescuer. Based on this problem, a wireless hovercraft is needed to develop. This study explains a hovercraft which is able to control the movement of the hovercraft from the surface. The design of the hovercraft was successfully made by using AutoCAD software. Furthermore, the material of the body was made from the insulation foam while the microprocessor is Arduino UNO R3. There are two brushless DC motors and one servo motor that used for this hovercraft. The first brushless DC motor which is located below the hovercraft is used as a hover operation, while the second motor located behind it is used to ensure the hovercraft move forward. In addition, the performance of the hovercraft was successfully tested on the 3 different surfaces. As a result, the highest performance is on the cement while the lowest is on the grass.
  • Publication
    Detection of screw implant on x-ray images using morphology technique
    ( 2020-12-15)
    Salleh N.M.
    ;
    Wan Azani Wan Mustafa
    ;
    Mohd Aminudin Jamlos
    Bones make up the skeleton of the body by attachment points for muscles, which allows human to run, jump, and do actions. It also protects organs from potential damages. Fracture is a medical term for a broken bone when bone has an outside force exerted upon it, there is possibility that the bone cannot withstand the amount of force and break it. These fractures can treat by implanting internal fixations at the fractures such as screw and plates. To diagnose the fractures and follow up the treatment, x-ray taken at the fractured area. X-ray image is one of the oldest photographic films that is mostly used in medical diagnosis and treatment. X-ray image is a very useful modality for the physicians and doctors to determine and analyse the bone fracture, which is an important symptom used for diagnosis, therefore x-ray produce only medium quality image, which will normally affect the information of the image. This paper aims to use a new method to detect the screw implants on human bone by using image binarization technique. Image binarization is the process of separating pixel values into a couple of groups, black as foreground and white as background. Image binarization is an important step in image thresholding. The main objective is to find a new method of image thresholding to of object detection. The method is by developing a new algorithm of image thresholding by making the already exist algorithm as references. The resulting method was analysis based on accuracy, sensitivity, and specificity.
  • Publication
    Developing water monitoring system
    ( 2020-12-15)
    Mohd Aminudin Jamlos
    ;
    Wan Azani Wan Mustafa
    ;
    Amin M.Z.
    Water monitoring system is a system than monitor the condition of water. This system monitor the water on several condition. The condition monitored by this system is water level and turbidity value. For water level, the depth of the water is taken by ultrasonic method. For turbidity, the higher the reading from the sensor, the higher the turbidity of the water. For pH value, if the value of the reading is more than 7, the water is in alkaline condition. If the value of reading is less than 7, the water is in acidic condition.In this project, this system is using Raspberry Pi 2 as its main controller. Several sensor are used such as ultrasonic sensor and turbidity sensor. The reading from the sensor is then send to Raspberry Pi and the the value is send to the other devices or webpage through wifi module.
  • Publication
    Development of carbon monoxide detector for vehicles with auto window roll down and safety warning system
    ( 2023-06-12)
    Mohd Aminudin Jamlos
    ;
    Razali I.
    ;
    Wan Azani Wan Mustafa
    ;
    Syed Zulkarnain Syed Idrus
    In the recent era, carbon monoxide (CO) gas leaks in vehicles are on the rise. As we know, the gas is so dangerous that it can affect our body by endangering the breathing and blood systems. The driver and the passenger due to lack of oxygen in the body. Therefore, gas leakage carries a high risk to all human beings. This project aims to solve this problem by detecting carbon monoxide gas. In addition, to make this project even more interesting, Raspberry Pi is used to control all the hardware used. Light-emitting diode (LEDs) and buzzers are used as alarm signals when the concentration of carbon monoxide gas reaches dangerous levels. Instead, a Global Positioning System (GPS) module is used to track location coordinates if carbon monoxide exceeds the danger threshold. When the gas concentration exceeds the threshold, a Blynk notification will be sent to the smartphone of the concerned person. In addition, the power window motor will roll the window down automatically when the CO gas concentration is higher than the threshold value. It will reduce the concentration of CO gas in the vehicle to prevent the toxicity of CO gas in the vehicle. This can prevent the endangered toxicity of CO gas the vehicle from being happened.