Mohd Aminudin Jamlos
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Preferred name
Mohd Aminudin Jamlos
Official Name
Mohd Aminudin , Jamlos
Alternative Name
Aminuddin Jamlos, Mohd
Jamlos, M. A.
Jamlos, Mohd Aminuddin
Jamlos, Mohd A.
Jamlos, Mohd
Main Affiliation
Scopus Author ID
36010739800
57210119953
Researcher ID
AGU-7505-2022

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Perpendicular High Isolation MIMO Antenna

2022-01-01 , Mohd Aminudin Jamlos , Sabri N.H.M. , Wan Azani Wan Mustafa , Khairul Najmy Abdul Rani , Syed Zulkarnain Syed Idrus , Husna H.

This research presented a perpendicular high isolation MIMO antenna for LTE advance application. A high gain perpendicular MIMO antenna is concentrated on designing used in LTE advance application. The issues of low isolation of conventional antenna can be solved by structuring a MIMO antenna in order to increase the isolation in LTE advance application. Generally, the array antenna design causes a bigger antenna size and has a mutual coupling which lead to spectral efficiency damage and reduce the MIMO antenna framework performance. The substrate material like FR-4 is choosing as a dielectric substrate due to its good performances for many applications beside it has a low cost and more usable. The advantage of copper such as has a great relative material, cheaper and easy to construct is choose in this project as a conductive material. ADS software has been utilized for the structure stage to design the antenna. Then, the results are evaluated in terms of return loss (S11 and S22), mutual coupling (S12 and S21), match impedance, directivity, radiation pattern, gain and radiated power. Vector Network Analyzer (VNA) is used to measure the fabricated antenna. The factor of cable loses and the soldering technique will make the measurement result was slightly change from the simulating result. However, the antenna design satisfied the proficiency necessity of the antenna which the frequency is drop at 2.5 GHz with the return loss is below than −10 dB.

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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.

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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.

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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.

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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.

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Liquid Composition Identification and Characteristic Measurement Using Ultrasonic Transmission Technique via Neural Network

2023-08-01 , Muhammad Naufal Mansor , Yahya S. , Wan Azani Wan Mustafa , Habibah Mokhtaruddin , Syahrul Affandi Saidi , Ilham Shafini Ahmad Mahyudin , Mohd Aminudin Jamlos , Noor Anida Abu Talib , Mohd Zamri Hasan

This project is to determine the composition of liquids solvent by using the ultrasonic frequency signal from echoscope scan machine. The transmission technique of ultrasonic signal is focused. On the research experiment, studies on mixing of distilled water with control sodium chloride (Kitchen Salt), kitchen sugar and monosodium glutamate (MSG). The Parameters such as Fast Fourier Transform (FFT) which is the parameters are using to identify the ratio of composition of liquid solvent. The feature extraction of median, average and root mean square (RMS) from FFT is represented with different result analysis such as sensitivity, specificity, accuracy, Area under curve, kappa, F-measure and precision. The results performed more than 90% with Neural Network.

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2 × 1 Circularly Polarized Rectangular Microstrip Patch Array Antenna

2022-01-01 , Sabri N.H.M. , Mohd Aminudin Jamlos , Seng L.Y.

This paper presents a high gain of 2 × 1 circularly polarized rectangular microstrip array antenna for wide communication. This paper study the design and the simulation of the array antenna in terms of S-parameter, antenna gain, and the axial ratio. The 2 × 1 array antenna with dimension of 130 × 80 mm is proposed. The presented design is composed of two elements of microstrip patch antenna with an array configuration. The truncated edge of the patch and the inclined slot are the techniques used in order to achieve circular polarized capability. The antenna is fed by microstrip transmission line with full ground plane and etched on Rogers RT 5880 substrate with 2.2 and 0.51 mm of dielectric constant and thickness respectively. The antenna substrate is layered by 3 layers in order to increase the substrate thickness to 1.53 mm. The patch antenna is fed by using microstrip transmission line which separated into two lines based on the number of radiating elements. The quarter wave impedance matching technique is used to match the radiating patch. The 50 Ω transmission line are utilized to be matching between 70 Ω and 100 Ω. The 2 × 1 array antenna achieved a gain of 10.77 dB with a return loss of −24. 63 dB at a desired frequency of 5.8 GHz.

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Leukemia Blood Cells Detection using Neural Network Classifier

2023-12-01 , Muhammad Naufal Mansor , Mohd Zamri Hasan , Wan Azani Wan Mustafa , Farah Hanan Mohd Faudzi , Syahrul Affandi Saidi , Mohd Aminudin Jamlos , Noor Anida Abu Talib , Ahmad Kadri Junoh

Image segmentation is an image processing operation performed on the image in order to partition the image into some images based on the information contained in the original image. Image segmentation plays an important role in many medical imaging applications, image segmentation facilitates the anatomy process in a particular body of human body. Classification and clustering are the methods used un data mining for analyzing the data sets and divide them on the basis of some particular classification rules. There are many image segmentation tools that used for medical purpose, so it is necessary to define and/or to improve the image segmentation methods in order to get the best method. In this study, the image of leukemia and red blood cells will be used as samples to determine the best algorithm in image segmentation. The procedure for doing segmentation itself is clustering image, edge detection on image, and image classification. The clustering is to extract important information from an image. The edge detection is to determine the existence of edges of lines in image in order to investigate and localize the desired edge features. Moreover, the classification analyzes the properties of some images and organizes the information into certain categories. In this study, the Neural Network and K-Nearest Neighbor are used for image classification by paired with Local Binary Pattern and Principal Component Analysis. The results revealed that the best method of proven in classifying images is from Local Binary Pattern feature extraction with the average accuracy of 94%.

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