Now showing 1 - 10 of 82
  • Publication
    IR 4.0: Smart Farming Monitoring System
    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.
  • Publication
    E-MEDIC: A mobile application for common medicines at pharmacy
    Humans' and the world's lifestyles have changed dramatically through time as a result of technological advancements. Communication technology has advanced swiftly in the contemporary age, making a significant contribution to human existence. Smartphones are one of the most useful technologies. Mobile apps arose as a result of the evolution of regular phones into smartphones. Mobile applications with various functions give varying levels of aid to human existence. This study aims to give self-medicating patients a guideline and correct content information of over-the-counter (OTC) drugs. Subsequently, it is to develop a mobile application for the medication (E-MEDIC app). Furthermore, it is to ease and save users' time searching for medicines content. The third objective is to evaluate the user's acceptance of the medication mobile application (E-MEDIC app). The qualitative methodologies utilised for the E-MEDIC mobile app included locating two specialists to conduct an Alpha Test to obtain their thoughts and selecting twelve respondents with relevant experience to serve as testers. The experiment includes several areas of the application's functioning, usability, and interface design. All respondents and experts agreed that the E-MEDIC mobile app's functionality, usefulness, and usability are excellent. The E-MEDIC smartphone app, which is based on this initiative, can provide accurate information and content specifics on over-the-counter (OTC) medications to self-medicating patients. If properly implemented in pharmacies, OTC medications, and public health, the E-MEDIC smartphone app offers several benefits. The results from this study are promising.
  • Publication
    Perpendicular High Isolation MIMO Antenna
    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.
  • Publication
    Simulated Triple Circular Split-Ring Resonator Metamaterial Unit Cell for THz application
    Metamaterial used widely nowadays to overcome the limitation of the natural material in manipulating the electromagnetic wave and radiation. Split-Ring Resonator (SRR) have been used widely as a design to manipulate the electromagnetic waves but none of them used for higher frequency such as light frequency. Therefore, the objective of this paper is to design SRR unit cell that is capable to bend the light wave. 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 SRR design is suitable to manipulate the lights radiation waves.
  • Publication
    Metamaterial antenna for biomedical application
    ( 2021-01-01) ;
    Othman N.A.
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    ;
    Marzuki M.K.
    In this paper, metamaterial element is applied towards antenna for biomedical application. The metamaterial unit cell is constructed using circular split ring resonator (CSRR) technique to be attached at the ground of the antenna. The metamaterial antenna is design to be operated at frequency between 0.5–3.0 GHz which is suitable for biomedical application such as wireless patient movement monitoring, telemetry and telemedicine including micro-medical imaging and Magnetic Resonance Imaging (MRI). The design and simulation has been carried out using Computer Simulation Technology Microwave Studio (CST MWS) while the fabricated antenna is measured using Vector Network Analyzer (VNA) to analyse the overall performance.
  • Publication
    A Simple Blood Vessel Detection on Retinal Image Using Image Processing Technique
    Detection of blood vessel plays an important stage in different medical areas, such as ophthalmology, oncology, neurosurgery and laryngology. The significance of the vessel analysis was helped by the continuous overview in clinical studies of new medical technologies intended for improving the visualization of vessels. In this paper, a new blood vessel detection using a simple method of image processing was proposed. The main objective is to propose new method in order to detect the blood vessel on the degraded retinal input image (DRIVE dataset). A few Image Quality Assessment (IQA) such as sensitivity, specificity and accuracy was obtained to prove the effectiveness of detection methods.
  • Publication
    Water quality monitoring system using Raspberry Pi
    Water monitoring system is a system than monitor the condition of water. This system monitors the water on several condition. The condition monitored by this system is turbidity value, total dissolved solid value and pH value. 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 3 model B+ as its main controller. Several sensors are used such as turbidity sensor, total dissolved solid sensor and pH sensor. The reading from the sensor is then send to Raspberry Pi and the sensor value is send to the other devices through built-in Wi-Fi of Raspberry Pi.
  • Publication
    Pap Smear Image Analysis Based on Nucleus Segmentation and Deep Learning – A Recent Review
    ( 2023-02-01)
    Alias N.A.
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    ; ;
    Ismail S.
    ;
    Alquran H.
    ;
    Cervical cancer refers to a dangerous and common illness that impacts women worldwide. Moreover, this cancer affects over 300,000 people each year, with one woman diagnosed every minute. It affects over 0.5 million women annually, leading to over 0.3 million deaths. Recently, considerable literature has grown around developing technologies to detect cervical cancer cells in women. Previously, a cervical cancer diagnosis was made manually, which may result in a false positive or negative. Automated detection of cervical cancer and analysis method of the Papanicolaou (Pap) smear images are still debated among researchers. Thus, this paper reviewed several studies related to the detection method of Pap smear images focusing on Nuclei Segmentation and Deep Learning (DL) from the publication year of 2020, 2021, and 2022. Training, validation, and testing stages have all been the subject of study. However, there are still inadequacies in the current methodologies that have caused limitations to the proposed approaches by researchers. This study may inspire other researchers to view the proposed methods' potential and provide a decent foundation for developing and implementing new solutions.
  • Publication
    Blood vessel detection monitoring system and mobile notification for diabetic retinopathy diagnosis
    Disease diagnosis based on retinal image analysis is very popular in order to detect a few critical diseases such as diabetic retinopathy, high blood pressure, cancer and glaucoma. The important part of the retinal is a blood vessel. Besides, the blood vessel study plays an important part in different medical areas such as ophthalmology, oncology, and neurosurgery. The significance of the vessel analysis was helped by the continuous overview in clinical studies of new medical technologies intended for improving the visualization of vessels. In this paper, a new blood vessel detection based on a combination of Kirsch’s templates and Fuzzy C-Means (FCM) was proposed. The main objective of this study is to improve the detection result of FCM and achieved more effective performance compared to the Kirsch’s templates result. The proposed method experimented on 20 images is utilized namely from Digital Retina Images for Vessel Extraction (DRIVE) dataset. The resulting images are compared with the benchmark images based on a few image quality assessment (IQA) such as accuracy, sensitivity and specificity. The total average of accuracy is 92.64%, while sensitivity and specificity obtained was 95.73% and 60.45% respectively. The three parameters of the IQA will then be displayed in a column on the GUI. The second part of the system is for the mobile notification system to send SMS to a mobile phone. In order for the user to obtain the image analysis results, there must be a notification system on the mobile phone. By using the GSM module integrated with Arduino Uno, notification regarding image analysis will be sent to the mobile phone.
  • Publication
    Overview of Segmentation X-Ray Medical Images Using Image Processing Technique
    Image processing techniques have been used in a wide variety of applications nowadays to enhance the quality of raw image data. Today, image segmentation or detection of x-tray medical imaging is very popular and challenges task in order to improve the diagnosis and analysis result. An x-ray image is one of the oldest photographic films that is mostly used in medical diagnosis and treatment. An x-ray image is a very useful modality for the physicians and doctors to determine and analyze the bone fracture, which is an important symptom used for diagnosis, but x-ray produces an only medium quality image, which will normally affect the information of the image. This article provides a review study of the medical image segmentation. Based on this study, the advantages and drawback each method clearly explained. This article presents an exhaustive review of these studies and suggests a direction for future developments in order to propose segmentation methods.