Wan Azani Wan Mustafa
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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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ShareFood:CareHood: An educational mobile application for awareness on food wastage

2023-06-12 , Arumugam S. , Syed Zulkarnain Syed Idrus , Ummi Naiemah Saraih , Wahab M.H.A. , Noormaizatul Akmar Ishak , Wan Azani Wan Mustafa , Mohd Aminudin Jamlos

Approximately one-third of all food produced for human consumption is lost or wasted and the rate of food loss is continuously increasing. This circumstance has resulted in a significant increase in carbon footprint and environmental issues. Lack of awareness has been one of the reasons that caused food wastage issue. The main objectives of this research is 1) to develop a mobile application on food wastage; 2) to create awareness on food wastage issue by using ShareFood:CareHood mobile application; and 3) to conduct usability test on ShareFood:CareHood mobile application in terms of ease of use, user interface and functionality. This paper presents the development of ShareFood:CareHood mobile application, which has the purpose of creating awareness on food wastage issue among the users and at the same time gives the users a chance to play their in reducing food wastage by providing food sharing functions. The outcome of this study is provides optimistic results.

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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.

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Current Approaches of Artificial Intelligence (AI) in Leading Behavioural Change: The Latest Review

2024-05-01 , Ghani M.M. , Osman M.N. , Omar S.Z. , Radzi S.R.K.M. , Wan Azani Wan Mustafa , Mardatillah A.

Digital health is plagued by low interest and adherence, but research suggests improvements are possible. Non-health care, for-profit digital enterprises like LinkedIn, Twitter, and Facebook undertake behavioural experiments to enhance user engagement. Today, everyone is impacted by commercial determinants of health, and the selection of unhealthy options compounds economic, social, and racial disparities that already exist. However, healthcare providers tend to prioritize pharmacological approaches at the expense of influencing patients’ actions. Thus, it is crucial to ensure that artificial intelligence (AI) is integrated as well as applied within the systems to improve related fields. Both Scopus and Web of Science (WoS) have indexed the previously examined body of work in their respective databases. This review is going to be divided into three different themes: (1) health, (2) education, and (3) other fields. This paper aims to analyse the existing data or outcomes via analysis, categorization, comparison, and summary. It also may uncover research gaps and explore field possibilities. This review included English-language research and literature from 2022. This study summarises current approaches of Artificial Intelligence (AI) in leading behavioural change from different fields of literature.

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The Development of an Interactive Animation to Prevent Social Media Fraud

2020-06-17 , Lun C.W. , Syed Zulkarnain Syed Idrus , Wan Nor Ashiqin Wan Ali , Ishak N.A. , Wan Azani Wan Mustafa , Mohd Aminudin Jamlos , Wahab M.H.A.

Technology is the creation, invention, methods or systems of something new that has the purpose to overcome human's limitation, so that the creation can help human to complete the task that they cannot do. However, the world is getting advanced day-by-day, and so do the online frauds, where it is getting more types due to the ease of these technologies. People would use these advanced technologies to scam others, especially through social media. Thus, the number of online scam seems to be rising, and it is an appropriate action that someone does to bring benefits only for themselves. This paper is about the development of an interactive animation to increase the awareness of social media frauds among people and ways to prevent it. Subsequently, we created an animation that can raise the awareness of social media fraud among people, and hence they can also learn effective ways to prevent social media fraud from happening.

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Optimized Intelligent Classifier for Early Breast Cancer Detection Using Ultra-Wide Band Transceiver

2022-11-01 , Halim A.A.A. , Allan Melvin Andrew , Wan Azani Wan Mustafa , Mohd Najib Mohd Yasin , Muzammil Jusoh , Vijayasarveswari Veeraperumal , Abd Rahman M.A. , Zamin N. , Mary M.R. , Khatun S.

Breast cancer is the most common cancer diagnosed in women and the leading cause of cancer-related deaths among women worldwide. The death rate is high because of the lack of early signs. Due to the absence of a cure, immediate treatment is necessary to remove the cancerous cells and prolong life. For early breast cancer detection, it is crucial to propose a robust intelligent classifier with statistical feature analysis that considers parameter existence, size, and location. This paper proposes a novel Multi-Stage Feature Selection with Binary Particle Swarm Optimization (MSFS–BPSO) using Ultra-Wideband (UWB). A collection of 39,000 data samples from non-tumor and with tumor sizes ranging from 2 to 7 mm was created using realistic tissue-like dielectric materials. Subsequently, the tumor models were inserted into the heterogeneous breast phantom. The breast phantom with tumors was imaged and represented in both time and frequency domains using the UWB signal. Consequently, the dataset was fed into the MSFS–BPSO framework and started with feature normalization before it was reduced using feature dimension reduction. Then, the feature selection (based on time/frequency domain) using seven different classifiers selected the frequency domain compared to the time domain and continued to perform feature extraction. Feature selection using Analysis of Variance (ANOVA) is able to distinguish between class-correlated data. Finally, the optimum feature subset was selected using a Probabilistic Neural Network (PNN) classifier with the Binary Particle Swarm Optimization (BPSO) method. The research findings found that the MSFS–BPSO method has increased classification accuracy up to 96.3% and given good dependability even when employing an enormous data sample.

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Discriminant Validity Assessment of Religious Teacher Acceptance: The Use of HTMT Criterion

2020-06-17 , Yusoff A.S.M. , Peng F.S. , Razak F.Z.A. , Wan Azani Wan Mustafa

This study was conducted to produce empirical evidence of validity and reliability of a set of questionnaire. Questionnaire drawn from the results of previous studies and the validity of the tests will determine whether all aspects of the construct domain were represented, thus ensuring the high objectivity level of the questionnaire. In addition, an alternative approach was used to assess the discriminant validity, using heterotrait-monotrait ratio of correlations. The study empirically proves that the questionnaire used is unchanged by culture. This is important because if not, its use will be restricted to a population in which the questionnaire was developed. The proposed method is better in which to enhance and improved the discriminant validity, using heterotrait-monotrait ratio of correlations. The results of the analysis in the measurement model indicated that the questionnaire meets the standards of reliability and construct validity.

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Zero Index Metamaterial of Simulated Split Ring Resonator Element

2022-01-01 , Mohd Aminudin Jamlos , Othman N.A. , Wan Azani Wan Mustafa , Hasliza A Rahim @ Samsuddin , Alfilh R.H.C. , Mohamad Nur Khairul Hafizi Rohani

Split Ring Resonator of Zero Index metamaterial element has been proposed. The Split Ring Resonator consists of four loops; a more modest loop inside a bigger one, with openings, consolidated into each loop at the far edges, and an expansion of the rectangular loop to realize the gap (split) which permits control of the capacitance. The split ring is designed and simulated using sophisticated simulation software to have accurate simulation results. Two waveguide ports of terminals have been used within the assigned unit cell boundary for the simulated purpose. A parametric study has taken place for the width and length of the split ring resonator to find the optimized design to have zero index at the desired frequency of 2.7 GHz. The optimized dimensions of the split ring resonator are 7.29 mm and 6.0 mm for width and length respectively. The split ring resonator successfully recorded zero index (phase) at the desired frequency of 2.7 GHz for low-frequency applications specifically for GHz ranges.

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Comparison of Image Restoration using Median, Wiener, and Gaussian Filtering Techniques based on Electrical Tree

2021-01-01 , Abdulah C.S.K. , Mohamad Nur Khairul Hafizi Rohani , Baharuddin Ismail , Isa M.A.M. , Afifah Shuhada Rosmi , Wan Azani Wan Mustafa

Electrical treeing lead to a major cause of a breakdown in solid insulation. Thus reduced solid insulation performance by degrading the insulation. Hence, it is important to study the electrical treeing and learn the root cause of the treeing formation. In this paper, the performances of median, wiener, and gaussian filters in restoring noisy images are studied based on electrical tree images. The electrical tree colour images is being transform into grayscale images, noisy images using impulse noise (salt and pepper), and finally motion blur are applied. Even though, there are several number of filters available, this paper focus on median, wiener, gaussian, and combination of the filters. In the end, comparison between these filters is made to study the efficiency using PSNR, SNR, and MSE in graph form.

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Line Detection and Monitoring System on Woodball Sport

2021-06-15 , Chandrasegaran J. , Wan Azani Wan Mustafa , Umoruddin N.A. , Mahyudin I.S. , Mohd Aminudin Jamlos , Syed Zulkarnain Syed Idrus , Idris A.

In most sports today, the decisions taken by referees are supported by the use of electronic technology. The detection and monitoring system of the woodball lines serves the same function, helping the referee to take decisions and modernise woodball sports. The modern sport of wood balls depends entirely on out decisions. The line detection technology helps inform the judge whether the ball is OB (out of Bounds), while the monitoring system notifies players, judges, and the crowd whether or not the gating is effective. But the referee's manual assistance is always necessary to start the game after a good gating, since the player cannot touch the wood ball the whole time. Finally, the percentage of precision and error was achieved.

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IR 4.0: Smart Farming Monitoring System

2023-01-01 , Nasir M.F. , Mohd Aminudin Jamlos , Wan Azani Wan Mustafa , Mohamad Nur Khairul Hafizi Rohani , Muhammad Zaid Aihsan , Habelalmateen M.I. , Ramadan G.M.

The Internet of Things is the current and future of every field that effects everyone's life by making everything smart. The development of Smart Farming Monitoring with the use of the Internet of Things, changes conventional farming methods by not only making them optimal but also effective for farmers and reducing crop wastage. Therefore, Smart Farm Monitoring of IR 4.0 Implementation is designed to provide a system for monitoring environmental factors in farming in real time. This product will help farmers by creating an easy-to-use user view so users can view data. By implementing various types of sensors and applications such as Raspberry Pi 4B as its main controller, Temperature & Humidity sensor (DHT22), Capacitive Soil Moisture sensor, MQ135 sensor, Light Intensity sensor, ThingSpeak and ThingView, farmers will can monitor parameters and this data will be sent to the database for real-time display and storage purposes. The project is expected to create a smart environment conducive to agriculture and reduce labour costs and water wastage and increase productivity and efficiency. The system is achieved, as the intelligent monitoring of agriculture allows real-time monitoring with less time.

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