Search Results - (( bubble detection system algorithm ) OR ( panel identification system algorithm ))

Charge coupled device based on optical tomography system in detecting air bubbles in crystal clear water by Juliza Jamaludin, Rahim R.A., Rahim H.A., Fazalul Rahiman M.H., Mohd Muji S.Z., Rohani J.M.

Charge coupled device based on optical tomography system in detecting air bubbles in crystal clear water by Juliza Jamaludin, Rahim, RA, Rahim, HA, Rahiman, MHF, Muji, SZM, Rohani, JM

“…Experiments in detecting moving air bubbles are conducted. The images of captured data are reconstructed based on filtered image of Linear Back Projection with Hybrid algorithms. …”

A comprehensive comparative experiment of edge detection for OMR by Sahri, Zahriah, Othman, Zuraini, Kasmin, Fauziah, Basiron, Halizah

“…These captured images go through a few image processing steps to display the grades. Edge detection is one of the steps. This study compares different established edge detection algorithms to detect edges of interest in OMR answer sheets such as bubbles or rectangles containing the bubbles. …”
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Model predictive control for MPPT of distributed photovoltaic module by Jowalin, Wellfred

“…A conventional P&O technique was design by develop the algorithm to compare the result. A plant using system identification developed as the MPC needs a plant for prediction. …”
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Shape-Based Matching: Application of Defect Detection by Harun, Mohamad Haniff, Sulaiman , Marizan, Hairol Nizam , Mohd Shah

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Investigation on the effect of varying bubble size and location in electrical resistance tomography using conducting boundary strategy by Suzanna, Ridzuan Aw, Farah Hanan, Azimi, Lia Safiyah, Syafie, Ruzairi, Abdul Rahim, Yasmin, Abdul Wahab, Nurain Izzati, Shuhaimi, Raja Siti Nur Adiimah, Raja Aris, Ida Laila, Ahmad

“…Bubbles with a greater size than 6 mm and especially the one that is located near the wall boundary are much easier to detect. …”
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A review of deep learning-based defect detection and panel localization for photovoltaic panel surveillance system by Mohamed Ameerdin, Muhammad Irshat, Jamaluddin, Muhammad Herman, Shukor, Ahmad Zaki, Mohamad, Syazwani

“…YOLO algorithms are utilized for their real-time detection capabilities, allowing for immediate identification and categorization of defects during routine inspections. …”
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Online Simulation To Monitor Multiphase Flow Using Laser Source As Transmitter by Naizatul Shima Mohd Fadzil, Ruzairi Abdul Rahim, Mohd Hafiz Fazalul Rahiman, Siti Zarina Muji, Yasmin Abdul Wahab, Juliza Jamaludin

3D Gluing Defect Inspection System Using Shape-Based Matching Application From Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Lim Wee, Teck, Mohd Kazim, Mohd Nor Fakhzan

“…This research is regarding the application of a vision algorithm to identify the operations of a system in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. …”
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A 3D Gluing Defect Inspection System Using Shape-Based Matching Application from Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Mohamad Haniff , Harun, Lim , Wee Teck, Mohd Nor Fakhzan, Moha Kazim

“…This research is regarding the application of a vision algorithm to identify the operations of a system in order to control the decision making concerning jobs and work pieces recognition that are to be made during system operation in real time. …”
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Charge-coupled device based on optical tomography system in detecting solid and transparent objects in non-flowing crystal clear water by Juliza Jamaludin, Rahim, RA, Rahim, HBA, Rahiman, MHF, Rohani, JM, Muji, SZBM

“…Experiments in detecting static solid, transparent objects and moving air bubbles are conducted. …”

DEFECT INSPECTION SYSTEM FOR SHAPE-BASED MATCHING USING TWO CAMERAS by Sulaiman , Marizan, Shah, HNM, Harun, Mohd Hanif, Fakhzan, MN

“…A new supervised defect detection approach to detect a class of defects in gluing application is proposed. …”
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Defect Inspection System for Shape-Based Matching Using Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Mohd Kazim, Mohd Nor Fakhzan

“…A new supervised defect detection approach to detect a class of defects in gluing application is proposed. …”
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Charge-coupled device based on optical tomography system in detecting solid and transparent objects in non-flowing crystal clear water by Jamaludin J., Rahim R.A., Rahim H.B.A., Rahiman M.H.F., Rohani J.M., Muji S.Z.B.M.

Defect Inspection System For Shape-Based Matching Using Two Cameras by Sulaiman, Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Mohd Kazim, Mohd Nor Fakhzan

“…A new supervised defect detection approach to detect a class of defects in gluing application is proposed. …”
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Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi by Rahimi, Ahmad Faris

“…In the implementation phase, Bubble Sort, Euclidean Distance, 10-Fold Cross validation, and K Nearest Neighbor algorithm are developed. …”
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Optimizing solar streetlight systems for sustainable urban and community development by Jun, L. W., Zabri, Siti Normi, Mohd Kassim, N. S., Mohamad, Sarah Yasmin

“…Through these enhancements, the system effectively reduced energy wastage, leading to the identification of the most efficient and practical battery capacity. …”
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System identification of a solar maximum power point tracking system for dual axis / Thomas Davion, Noorazlina Mohamid Salih and Mohd Shahrizan Mohd Said by Davion, Thomas, Mohamid Salih, Noorazlina, Mohd Said, Mohd Shahrizan

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Brewing perfection: real-time monitoring of arabic coffee using iot and machine learning by Abuzaraida, Mustafa Ali, A. L. gaud, Sarah, Abrahim Hneish, Hamza, Attarbashi, Zainab

“…The pre-preparation steps included tagging objects using the Roboflow tool and rotating the images, which increased the size of the dataset by four times. Using the YOLOv8 algorithm, a model was trained to detect and track the state of coffee in real time. …”
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Initial study of invasive approach of electrical capacitance tomography for identifying non-conducting medium in steel pipe application by Mohd Shahrul, Md Jusob, Yasmin, Abdul Wahab, Leow, Pei Ling, Ruzairi, Abdul Rahim, Suzanna, Ridzuan Aw, Juliza, Jamaludin, Nurhafizah, Abu Talip Yusof, Rohana, Abdul Karim, Nor Farizan, Zakaria, Nurul Wahidah, Arshad, Mohd Mawardi, Saari, Zainah, Md. Zain, Mohd Anwar, Zawawi

“…In short, the invasive approach for ECT is seen to be possible to apply for oil-gas application in steel pipe. The LBP algorithm with the average MSSIM value around 0.3 was able to detect the oil-gas regime inside the steel pipe.…”
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