Yindeesuk, Witoon
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Preferred name
Yindeesuk, Witoon
Alternative Name
Yindeesuk, W.
Main Affiliation
Email
witoon.yi@kmitl.ac.th
14 results
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Item type:Publication, Growth stage detection for food consumption management in smart cricket farming using a deep learning technique(2025-11-01); ; ; This research proposed a novel method for tracking and predicting the growth stages of two-spotted crickets, reared in a temperature-controlled box at different growth stages using the YOLOv5s model. The images of crickets feeding inside the rearing box were taken with an infrared camera above the feeding point every hour. Images of the cricket were used to train a YOLOv5s model to detect crickets for each growth stage in the rearing box. The experimental results showed that the trained deep learning had an average accuracy of 95.7%. The relationship between the ratio of crickets at each growth stage throughout the 45-day rearing period was plotted and discussed. The results also showed a clear relationship between the amount of food consumed by crickets per day and their growth stage, which could be useful for appropriately managing food consumption according to the growth stage of crickets. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Dry film Holographic grating based on computer-generated mask Lithography(2022-01-01); ; This paper presented an alternative technique for fabricating the dry film holographic grating based on a mask generated by computer simulation and experimental results. The mask was generated by a fringe pattern which is created by the mathematical model of two beams interference with various angles. Computer simulation of the fringe pattern was printed on film, i.e., the holographic grating mask. The mask was attached on dry film and then illuminated by UV light, where the lithography technique was applied. According to the lithography technique, the computer-generated holographic grating mask was transferred to dry film. After fabrication, fringe patterns obtained from the grating were observed. Then, the grating period was analyzed and confirmed by Scanning Electron Microscope (SEM). Experimental results show that the method could apply to fabricate the dry film holographic grating. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The effect of red, blue, green and white light emitting diodes on pigment content and sugar accumulation in wheatgrass(2021-01-28); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Comparison of Interferometry Applications: Michelson vs. Sagnac Interferometers(2025-05-14); An interferometer is a crucial instrument for collecting information on interference patterns, widely used in both scientific and industrial applications. This paper was focused on comparing the interferometric applications of the Michelson and Sagnac interferometers. The Michelson interferometer, characterized by its double-path setup, and the Sagnac interferometer, which operates on a common-path principle, were analyzed. Experiments were conducted to capture interference patterns of different samples using both interferometers. In the first experiment, the image fringes of the alphabet characters (K, M, I, T, and L) were captured, while in the second, fingerprint patterns were captured. The results showed that both interferometers produced similar fringes for the alphabet characters, although the Sagnac interferometer exhibited a higher circular frequency. In the fingerprint experiment, the Michelson interferometer produced linear fringes. This study highlights the distinct fringe patterns generated by each interferometer when different samples are analyzed, providing valuable insights into their diverse applications. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Multi-range Ammonia Gas Sensor Control and Monitor via IoT System(2022-01-01); ; In this paper, we present a multi-range of ammonia gas concentration control and monitoring via IoT system. We can select the ammonia gas concentration measurement range by adjusting load resistance within the voltage divider circuit. The appropriate measurement range, which corresponds to the concentration of ammonia gas produced by agricultural and industrial activities, can control and monitor via Blynk application. The MQ-137 gas sensor is selected as the main sensor, and each load resistance condition within the voltage divider circuit is calibrated with known ammonia gas concentration inside a calibration box. The calibration data is input into computer programming and processed by ESP8266 microprocessor. After calibration, we obtained a multi-range ammonia gas sensor suitable for measuring the ammonia gas concentration for each concentration range. The experiment showed that load resistance affects the measurement accuracy of ammonia gas concentration. We can select the load resistance suitable for the ammonia gas concentration and display on a smartphone via IoT system. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Effect of PbS Colloidal Quantum Dots with CdS and ZnS Coating on Photovoltaic Properties(2023-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Image Generation for Moina Classification using GAN-CNN and Digital Holography(2024-01-01); Moina are small aquatic organisms that cannot be differentiated by species with the naked eye. In this research, we employed the GAN-CNN technique to generate images of Moina from raw hologram data and to automatically classify the species. The experimental results demonstrate the effectiveness of the GAN-CNN technique for species classification. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Image Generation for Moina Classification using GAN-CNN and Digital Holography(2024-01-01); Moina are small aquatic organisms that cannot be differentiated by species with the naked eye. In this research, we employed the GAN-CNN technique to generate images of Moina from raw hologram data and to automatically classify the species. The experimental results demonstrate the effectiveness of the GAN-CNN technique for species classification. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Effect of Mn doping in CdS quantum dot sensitized solar cells grown by SILAR method(2021-01-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Speckle imaging of graphene oxide and reduced graphene oxide(2025-01-01); ; Rattanasirawit, ChinnapatLaser speckle imaging is a non-contact technique for analyzing materials' surface roughness and scattering characteristics. This study investigated the speckle patterns of graphene oxide (GO) in sheet form and reduced graphene oxide (rGO) in powder form under coherent laser illumination. The intensity distributions were recorded using a CMOS camera and analyzed statistically to determine key surface parameters, including speckle contrast and roughness. The results show that GO produces a finer, more uniform speckle pattern with lower contrast and roughness values than rGO, which exhibits coarser and more irregular patterns. These differences reflect the distinct structural characteristics of the two materials. The findings demonstrate the potential of speckle imaging for non-destructive optical characterization of graphene-based materials.