Hazry Desa
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Hazry Desa
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Desa, Hazry
Alternative Name
Desa, H.
Hazry, Desa
Desa, Hazy
Hazry, D.
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Scopus Author ID
16642497100

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  • Publication
    Effects of sodium hydroxide treatment on date seeds reinforced LLDPE composites: FTIR and gel content analyses
    ( 2020-03-25)
    Elnaid A.
    ;
    Nik Noriman Zulkepli
    ;
    Omar S. Dahham
    ;
    Azizan M.A.
    ;
    Hazry Desa
    ;
    Dahham S.S.
    ;
    Umar M.U.
    The biocomposites from linear low-density polyethylene (LLDPE) and date seeds (DS) were successfully synthesized using extrusion and injuction molding process respectively. The effects of different Sodium Hydroxide (NaOH) concentration (3, 6, and 9 wt.%) on the structural properties of LLDPE/DS composites were invistigated using FTIR and Gel Content test. Results showed that a decrease on the absorption band at 3346 - 3347 cm-1 of treated samples as compared with untreated sample due to the removal of the hemicellulose component from the treated samples. Furthermore, the peak at 1050 cm-1 has slightly reduced as the NaOH added. The gel content of the treated samples have slightly increased as compared with LLDPE control, which means the number of crosslinks between LLDPE and DS increased in presence of NaOH. Furthermore, The treated sample with 6 wt.% NaOH showed relatively higher gel content compared to untreated sample and other treated samples.
  • Publication
    Real-time recognition and decision making of objects using deep learning ENet based UAV images
    ( 2023-03-29)
    Ahmed S.A.
    ;
    Hazry Desa
    ;
    Hussain A.S.T.
    Unmanned Aerial Vehicles (UAVs) have been found to have many uses in the maintenance and oversight of civil infrastructure assets. They contribute to scheduled bridge checkups, crisis control, electricity transmission cable oversight and traffic analysis. With more and more uses of UAVs being introduced, a greater focus on individuality and freedom regarding governance of these devices is required to ensure security, competency, and precision. The subject of this study outlines the method and policies to be followed for teaching the principals of the (efficient Neural Network) ENet architecture, machine learning, and using OpenCV to implement semantic segmentation on a collection of images obtained through aerial photography for identification of objects. Possible utilizations of UAVs in the area of transportation are mentioned as well along with the precision and efficiency of training for the application of the ENet architecture, machine learning, and OpenCV to implement semantic segmentation, the optimization selection of operational parameters, and the machine learning and ENet architecture teaching methods and policies drafting process. Through analysis of the object identification results, it was proven that by adhering to a specific set of parameters, the ENet architecture and machine learning procedures can successfully identify objects with an accuracy of 99% when there is no distortion. In addition, using a combination of all three technologies mentioned, it is possible to not only classify objects, but the device is also capable of automated tracking and detection of the objects by real-time processing of streamed videos by the UAVs. The novelty, that the ENET was applied for large class members difference distance among the same objects family.
  • Publication
    Experimenting with Variable Arm Quadrotors: Realizing Dynamic Configurations for Enhanced Flight Performance
    ( 2024-01-01)
    Hazry Desa
    ;
    Azizi M.
    This paper introduces two innovative concepts for variable arms designed for a quadrotor, enabling precise control of its movement through manipulation of the bending moment via varying arm lengths. The primary objective of this research is to develop and identify the most suitable variable arm configuration that facilitates smooth and stable quadrotor movement. The study delves into two concept designs that are well-suited for the quadrotor application. By employing a suitable variable arm, the quadrotor’s maneuverability can be effectively regulated based on the bending moment adjustments made possible by the variable arm. Ultimately, the paper presents the design and performance testing of two types of variable arms. The obtained results confirm that the variable arm of the electric actuator with linear guide-Type 2 exhibits smooth and stable movement.
  • Publication
    Optimization of Wireless Power Transmission through Resonant Coupling
    ( 2023-01-01)
    Ahmed S.A.
    ;
    Hussain A.S.T.
    ;
    Fadhil M.
    ;
    Taha T.A.
    ;
    Hazry Desa
    ;
    Ahmed O.K.
    The concept of wireless power transmission involves the transfer of electrical energy from a power source to an electrical load without wires. The technology has become widely used in various mobile, industrial, and medical fields. This innovation eliminates the need for wires and batteries, making it a convenient and safe option for all users. Inductive and resonant coupling are the most commonly used methods for wireless power transmission. This work delves into designing and developing wireless power transmission hardware. A wireless power system comprises a transmitter (primary coil) and a receiver (secondary coil). The primary coil produces a magnetic field by passing alternating current through it. The secondary coil is then positioned close to the primary coil. When the two devices make contact, the primary and secondary coils become magnetically linked, causing the power to transfer from transmitter to receiver. To optimize the wireless power transmission using a resonant coupling, the paper tests and analyzes how different wire diameters, coil diameters, and the number of coils affect the output power.
      1  9
  • Publication
    The Capabilities and Readiness of Unmanned Aerial System (UAS) implementation in Construction Work Progression
    ( 2023-01-01)
    Nurfadzillah Ishak
    ;
    Muhammad Azizi Azizan
    ;
    Hazry Desa
    Nowadays, the implementation of Unmanned Aerial Systems technology is becoming increasingly widespread in the construction industry. Unmanned Aerial Systems (UAS) have evolved over the past decade as both advanced military technology and off-the-shelf consumer devices. Nowadays, the implementation of Unmanned Aerial Systems technology is becoming increasingly widespread in construction industry. The uses of drones are increasingly moving towards successful remote procedures which can take place in a range of in building industry. Unmanned Aerial Systems remote sensing equipment is a way in which current building construction work progress can be analysed and inspected. Therefore, this study would be beneficial as eye opener for building construction practitioner that this remote sensing equipment can replaced the manual paper-based supervision and unsystematic database of current conventional construction work progression process.
      2  9
  • Publication
    Review on Patch Antennas for Unmanned Aerial Vehicle Application
    ( 2023-11-01)
    Nur Hidayah Ramli
    ;
    Seng L.Y.
    ;
    Liyana Zahid
    ;
    Hazry Desa
    The wide-ranging Unmanned Aerial Vehicle (UAV) applications make them one of the Internet of Things promising technologies. The vast potential of monitoring and surveillance for public safety threats using drones is a current issue for researchers. Antennas play an important part in UAV to create reliable communication links. There are different types of antennas that can be used for UAV application depending on antennas size, efficiency, gain, angle of radiation pattern, polarization, etc. This paper mainly focuses on patch antennas for UAV applications. In general, there are two types of patch antenna described which are single patch antenna and array antenna. The review of patch antennas can be a useful guideline to choose or design antenna for UAV applications in the future.
      28  1
  • Publication
    Study of eddy current density distribution in a contactless breast cancer detection mechanism using magnetic induction spectroscopy
    ( 2017-01-01)
    Gowry Balasena
    ;
    Shahriman Abu Bakar
    ;
    Zulkarnay Zakaria
    ;
    Ryojun Ikeura
    ;
    Zuradzman Mohamad Razlan
    ;
    Hazry Desa
    ;
    Wan Khairunizam Wan Ahmad
    ;
    Cheng Ee Meng
    ;
    Mohd Afendi Rojan
    Breast cancer is a throbbing disease that no longer needs an introduction. This is especially true among women due to their unique breast structure that naturally has more breast tissues compared to that of man’s. It is been forecasted that in 2015, a minimum of 60290 new cases of breast cancer will be reported. The goal of this study is to analytically evaluate the changes in the induced Eddy current densities as a function of di-electrical properties of the breast tissue with respect to tumor positioning as well as its size. This is achieved by running numerical simulations on the proposed mechanism of magnetic induction to detect tumors among healthy breast tissue via a 2D breast model configuration. The analytical results presented in this article, proved that the multi frequency magnetic induction principle is viable in detecting the breast lesions as small as 0.2 cm non-invasively through the distributions of the induced Eddy current density. While important pattern of the induced current were reflected when the tumors are located at the far ends of the breast diameter. The minimum results computational time with the proposed system is 10 s.
      32  3
  • Publication
    X-means clustering for wireless sensor networks
    ( 2020-09-01)
    Radwan A.
    ;
    Kamarudin N.
    ;
    Solihin M.I.
    ;
    Leong H.
    ;
    Rizon M.
    ;
    Hazry Desa
    ;
    Muhammad Azizi Azizan
    K-means clustering algorithms of wireless sensor networks are potential solutions that prolong the network lifetime. However, limitations hamper these algorithms, where they depend on a deterministic K-value and random centroids to cluster their networks. But, a bad choice of the K-value and centroid locations leads to unbalanced clusters, thus unbalanced energy consumption. This paper proposes X-means algorithm as a new clustering technique that overcomes K-means limitations; clusters constructed using tentative centroids called parents in an initial phase. After that, parent centroids split into a range of positions called children, and children compete in a recursive process to construct clusters. Results show that X-means outperformed the traditional K-means algorithm and optimized the energy consumption.
      3
  • Publication
    Development of Variable Arm to Control the Manoeuvrability of Quadrotor
    ( 2024-01-01)
    Hong L.Y.
    ;
    Hazry Desa
    ;
    Muhammad Azizi Azizan
    ;
    Tanveer M.H.
    This paper introduces the concept of a variable arm for a quadrotor which is able to perform the manoeuvrability of the quadrotor by changing the arm length’s. The variation in arm’s length affects the bending moment generated by the thrust force, resulting in the tilting and movement of the quadrotor. The primary goal of this project is to develop a quadrotor with an adjustable arm length to control its manoeuvrability effectively, thus minimizing the need for additional thrust force during flight control. The study focuses on designing a quadrotor with the capability to extend or retract its arms. The proposed concept relies on altering the bending moment through the variable arm to control the quadrotor's manoeuvrability. A quadrotor equipped with a variable arm was successfully designed and tested, with its performance evaluated in executing agile maneuvers. The experiment demonstrated that the variable arm induced body rotation in the quadrotor, effectively regulating its manoeuvrability and the study validates the potential of the variable arm approach for controlling quadrotor movement.
      7  27
  • Publication
    The directional antenna tracker for enhancing range communication between UAVs and Ground Control Station
    ( 2023-01-01)
    Aizat I.M.
    ;
    Hazry Desa
    ;
    Muhammad Azizi Azizan
    ;
    Abadal-Salam T.H.
    ;
    Hassan T.M.
    This paper discusses the development of an antenna tracker project focused on evaluating a 2.4 GHz Yagi Uda directional antenna connected to an NRF24L01 transceiver. It employs a gear reduction system for precise yaw and pitch control using two servo motors. The tracker calculates rotation angles using the Haversine formula for coordinates and inverse tangent trigonometry for elevation. Experiments took place in an open area with a stationary Ground Control Station (GCS) and a moving Unmanned Aerial Vehicle (UAV) to assess performance. The experiments comprised three tests: first, GCS without the Yagi Uda antenna or tracker; second, GCS with the Yagi Uda antenna but without the tracker, positioned along a 30-degree angle away from the transmitter; and third, GCS with both the Yagi Uda antenna and the tracker. The UAV gradually moved away from the tracker in 5-meter intervals until data loss occurred. The test results are based on received coordinates, distance, temperature, humidity, and data loss. Among the three tests, Test 3 demonstrates the best outcome, where the Yagi Uda antenna successfully receives data up to 180 meters before experiencing data loss.
      1