Now showing 1 - 10 of 32
  • Publication
    Performance Analysis of Unipolar SPWM Inverter: Resistive load and Inductive load
    ( 2020-12-18) ;
    Yusof A.M.
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    Ahmad N.I.
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    ; ;
    Rahman D.H.A.
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    This paper presents the performance analysis of the Unipolar SPWM Inverter for the resistive and inductive load testing. The common criteria reported in various technical papers where the resistive load will produce a unity power factor correction and lagging power factor behaviour for inductive load. This paper is to demonstrate the performance of both loads that are tested to the single phase Unipolar SPWM inverter under the modulation ratio of 0.8. The performances will be covered in term of the waveform behavior and THDv performance. The project are carried out through the simulation using PSIM software and real implementation to the real hardware. The selection of filter for this paper is the low pass passive LC filter.
  • Publication
    The Effect of Infrared Drying on Orthosiphon Stamineus Leaves Quality
    ( 2021-01-01)
    Palanisamy V.V.
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    ; ;
    Ismail K.A.
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    ;
    Sulong M.M.S.
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    Alkhayyat A.
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    ;
    Salah O.R.
    The dryer system is an important part of the drying of food and herbs, among other things. As a result, a special dryer is needed to keep the food or herbs fresh for as long as possible without killing the good nutrients. In this project, Orthosiphon stamineus herb will be used to dry using an Infrared dryer. Infrared drying involves transferring heat by radiation from a hot source to a lower-temperature substance that has to be heated or dried. The temperature of the heated element determines the peak wavelength of the radiation. The purpose of this project is to design an infrared dryer system and analyze the quality of the dried herb. The Orthosiphon Stamineus have been dried using a 200W Infrared dryer system at 60°C for 2hours. Total phenolic compounds and antioxidant capacity were determined using the Folin-Ciocalteu method and the 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging activity assay and evaluated using a UV/VIS Spectrophotometer, respectively. A moisture analyzer was used to look at the changes in moisture content, and a colorimeter was used to look at the colour changes. The result showed that drying O.stamineus under 60°C has significantly affected the herbal leaves quality in terms of moisture content, colour properties, Antioxidant capacity, and Total phenolic content.
  • Publication
    The ARX and ARMAX Models for thermoelectric cooling on glass windows: A Comparative study
    Thermoelectric cooling (TEC), in particular, can be combined with a heat sink for local cooling, but they can also be integrated into electronic chips for point-to-point cooling. The study aims to develop a dynamic model of a cooling system integrated with TEC for glass window. The main target of this study is to develop a dynamic model of a cooling system integrated with TEC. The black box modelling approach in producing a mathematical model was selected based on the ARMAX and ARX model that corresponds to the actual dynamic state of the cooling system. The best model was finalized based on the best match on curve patterns when comparing the real and estimated models using the system identification tools in MATLAB, and also having the least error. The accuracy of the models was compared and analysed. The results showed that the 4th order of the ARMAX model produced a higher best fitting and standard deviation values of 80.23% and 0.027592 compared to the 4th order of the ARX model of 78.14% and 0.030769 respectively. This system accuracy is almost within the acceptable range for most error calculations in the validation method. Yet, this cooling system integrated with TEC is found more suitable for the 4th order of the ARMAX model when compared to the ARX model due to the noise parameter in the ARMAX model. Nevertheless, the noise order in this system is not dominant, therefore, whenever the noise order of the system in the ARMAX model is high than the second structure (nb), the number of errors is also high. In addition, the ARMAX model is found incapable of achieving the highest fitting due to the losses from the dynamic environment and losses from the TEC itself. Still, the use of this black box model used in this study is a significant variation where system parameters can be identified even offline.
  • Publication
    Estimation of Nitrogen Concentration of Paddy Leaf Using Aerial Image Captured by Drone
    Paddy crops are one of the major sources of income in the country as rice is the main food of the population. Rice is a basic necessity and it's very high demand among consumers in the country causes farmers to use fertilizer to produce enough rice. The use of fertilizers will bring benefits to farmers but if the quantities of fertilizer are not controlled then it can cause losses. Typically, fertilizers contain nitrogen which is the source of environmental pollution if nitrogen levels are too high. The rate of use of fertilizer or nitrogen plays an important role in the process of growing paddy trees. The concentration of nitrogen levels can be determined through the colour of the leaf of the paddy tree such as yellowish green, light green and dark green. The colour indicates the concentration of nitrogen contained in the rice plant. The yellowish green colour indicates that the rice trees do not get enough fertilizer and the growth of stunted rice trees. While the dark green colour indicates high nitrogen levels, the mature process of rice trees becomes slow. The light green leafy paddy is a healthy tree and the nitrogen content contained in paddy is perfect. Traditionally, farmers identify nitrogen concentrations manually by surveying the rough eyes. However, this method requires a lot of workforces, time and not consistency. In addition, that method is impossible to get accurate results and there is an error in the survey process because different people will have a different opinion specific task. The purpose of this project is to provide an image processing system to estimate the concentration of nitrogen in paddy trees through leaf colour. Concentration is estimated by using image processing techniques, automated detection and extraction system besides data collection aims to help farmers in the future.
  • Publication
    Using Unmanned Aerial Vehicle in 3D Modelling of UniCITI Campus to Estimate Building Size
    The drone mapping has a huge potential for numerous sectors including construction, agriculture, mining, infrastructure inspection and real estate. Drones are used as assisting tools in civil applications for large-scale aerial mapping of buildings, which is a difficult task for surveyors to do because of the unreachable access area, time consuming, and expensive due to limited resources and equipment. To address this issue, this paper introduces UAV-based mapping. Furthermore, when flying from a different flight plan, the UAV will capture and collect visual images. Then, the image from drone was process in Agisoft Metashape software to generate a 3D model of building. This process will go through several steps to analyze which method for capturing images can produce high-quality 3D mapping. The research results of this project are to determine which photogrammetry technique can generate a high quality of 3D mapping with accurate and fast.
  • Publication
    A Review on BLDC Motor Application in Electric Vehicle (EV) using Battery, Supercapacitor and Hybrid Energy Storage System: Efficiency and Future Prospects
    ( 2023-04-01)
    Aziz M.A.A.
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    Fahmi M.I.
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    Othman S.M.
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    ; ;
    The automotive industry has rapidly introduced pollution-free vehicles such as Electric Vehicle (EV). The development and improvement of the EV to replace the conventional vehicle become crucial to obtain the customer satisfaction and high technology achievements. The main systems in EV that are improvise to be switch from the conventional engine with a fuel source to an electric type drive system, include the electric motor and the energy/power storage called battery. There are several types of electric motors that suitable for EV and the best solution was Brushless Direct Current (BLDC) motor in terms of power, speed, torque and low maintenance. Meanwhile, the fuel source replacement is the electrical energy/power storage such as batteries. The aims were to study the best Energy Storage System (ESS) in EV which leads to introducing Battery Energy Storage System (BESS), but the drawbacks of the system give the opportunity improvement, in replacement using Supercapacitor Energy storage System (SESS) and Hybrid Energy Storage System (HESS). SESS is a reliable source, but the stand-alone Supercapacitor also has a minimum operation time. With several adjustments in the energy management control strategy, the discharge rate of energy from a supercapacitor can be minimized to prolong its operation.
  • Publication
    Identification of ARX Model for Thermoelectric Cooling on Glass Windows
    Thermoelectric cooling (TEC) is a solid-state heat pump that uses the Peltier effect to dissipate the heat generated by the electronic packaging system. TECs are widely used in aerospace, military, scientific work and industry due to small size, lack of moving parts, and ease of integration. In this study, a cooling system integrated with TEC is developed in a testing area (lecturer’s office) with the aim to reduce the temperature of the hot glass window area due to solar radiation that passes through it. This cooling system used direct TEC, for keeping the cooling temperature on the window to about 26 °C which is equivalent to an air conditioning setting temperature of 26 °C set during the experiment. This work includes experimental and modelling studies conducted on cooling systems integrated with TEC. The main target of this study is to develop a dynamic model of a cooling system integrated with TEC. The black box modelling approach in producing a mathematical model was selected based on the ARX model that corresponds to the actual dynamic state of the cooling system. The best model was finalized based on the best match on curve patterns when comparing the real and estimated models using the system identification tools in MATLAB, and also had the least error. The accuracy of the models was compared and analysed. The results showed that the 4th order of the ARX model produced a higher best fitting and standard deviation values of 78.14% and 0.030769. This system accuracy is almost within the acceptable range for most error calculations in the validation method. In addition, the ARX model is found incapable of achieving the highest fitting due to the losses from the dynamic environment and losses from the TEC itself. Still, the use of this black box model used in this study is a significant variation where system parameters can be identified even offline.
  • Publication
    Black Box Modelling of Infrared Drying System for Herbs Dehydration
    ( 2022-01-01) ;
    Sulong M.M.S.
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    ;
    Azmi A.I.
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    Razak N.A.
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    Fauzi M.F.
    This study focused on development of infrared dryer system for Orthosiphon Stamineus leaves drying application. In any food technology, the dryer is the key component for quality drying food and herbs etc. An oven is modified to produce high technology drying system. A mathematical model is developed based on time response characteristics of the system. A second order model is found to adequately represent the system as it gives best fit with better properties than the first order model with error between measured data and simulation data is 0.44. Validation procedures show that the derived model is indeed a good enough representation of drying system. The infrared dryer system is highly non-linear and exhibits varying model parameters. An identification system is introduced to estimate the parameters and determine mathematical model of the system. ARMAX of na = 2, nb = 1 and nc = 1 polynomial model show best fit to experimental response of PRBS input.
  • Publication
    Characteristic Study of Supercapacitor's Discharging Process Base on BLDC Motor
    Energy storage has become a key issue for achieving goals connected with increasing the efficiency of both producers and users. In particular, supercapacitors currently seem to be interesting devices for many applications because they can supply high power for a significant amount of time and can be recharged more quickly than electrochemical batteries. Supercapacitors, as similar to conventional capacitors build on two plates separated by a dielectric and an electrolyte, can store more energy than conventional capacitors because they can produce two distinct layers of separated charges between plates, which are typically made of porous, carbon-based materials. The supercapacitors module serves as the power supply for the discharging process as called Energy Storages (ES). The main purpose of this research is to investigate the behaviour and properties of discharged supercapacitors. The design is created using Simulink and includes a circuit schematic and scope label. Using Brushless Direct Current Motor (BLDCM) as a load, study proposed steady state condition and dynamic state condition of BLDCM operation are investigated. With comparison to battery, preliminary finding state that value of SoC and voltage of battery higher but value of current less than supercapacitor in a certain amount of time.
  • Publication
    Estimation of Paddy Plant Population Using Aerial Image Captured by Drone
    Monitoring of rice plants population density is important for crop setting and fertilizer management to achieve high target yield. Currently, the population density is determined by manually counting the tiller number of total rice plants in a 25 cm x 25 cm square frame. Generally, several random sampling locations of a paddy plot are selected to perform tiller counting. This is time-consuming, labour intensive and costly. An automatic counting tiller number method using digital image processing technique is introduced to overcome the problem. Monitoring paddy population can be done by using Unmanned Aerial Vehicle (UAV) or Drones. The use of drones can take a wider picture, save time and be more efficient. For this research, the DJI Mavic Pro Drone is used to scout the areas. The drone has captured the image from the air and sending to the computer via wireless. The image is processed in different technique such as filtering, enhancement, segmentation and thresholding. As a result, the image processing technique is practical, feasible and effective in estimating tiller number for monitoring of rice plant population density.