Sepsirisuk, Kasemsuk

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Sepsirisuk, Kasemsuk
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Email
kasemsuk.se@kmitl.ac.th

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    Item type:Publication,
    Banana Plant Nutrient Deficiencies Identification using Deep Learning
    (2023-01-01)
    Han, Kadipa Aung Myo
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    Maneerat, Noppadol
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    Sepsirisuk, Kasemsuk
    ;
    Hamamoto, Kazuhiko
    This paper presents nutrient deficiency multi-class classification in banana plant data sets using a deep convolutional neural network. In this paper, healthy and eight nutrient deficiency classes were studied. The performance was evaluated in different situations of two public data sets. The proposed method can provide sensitivity and specificity in Raw Images, Raw Images with combination, Augmented Images, and Augmented Images with the combination. Furthermore, nearly 88% of the F1-score was outperformed.
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    Manufacturing Process Improvement by Barcode Reader using Image Processing
    (2024-01-01)
    Sukasem, Sutikamon
    ;
    Maneerat, Noppadol
    ;
    Thudthong, Jakkrit
    ;
    Wongsomboon, Chanathip
    ;
    Yajima, Kuniaki
    Manufacturing industries get perspective on the efficiency of their production process. This study focuses on improving the cycle time of the work process at the station related to barcode reading. This operation should be of minimal duration to result in shorter cycle times and resulting in increased production volumes while still maintaining quality and reducing production costs. Image processing methodology is applied to reading barcodes instead of using a barcode reader which creates clear image quality along with developing an application using Android Bridge (ABD) and ZXing libraries that can read 1D barcodes in many formats. More essentially, application development by multithreading programming can process barcode reading simultaneously at a time that meets the target cycle time. The result of this study proves that the process of reading barcodes by human work has taken 60 times per job cycle and the reading time was about 29 seconds, becoming reduced to 19.85 seconds, manpower can be reduced by 1 person and production cost as well. Moreover, this implementation eliminates human errors that are likely to occur from scanning barcodes in the wrong position. Therefore, this study has benefited the manufacturing industry achieve significantly increased productivity and efficiency.
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    Item type:Publication,
    Linear Interpolation Using Siemens S7-1200
    (2025-01-01)
    Maneerat, Noppadol
    ;
    Wongworrada, Tharathorn
    ;
    Cheypoca, Thepjit
    ;
    Sepsirisuk, Kasemsuk
    This research is a continuation of the research on circular interpolation use siemens s7-1200 [1] It presents the movement of 3 axes, $x y z$, as a method of moving in a curve that is controlled by programmable logic control (PLC). In the future research, PLC will be used to control linear movement straightly. The work will be in the original format, but change the equation used to move in a straight line instead.