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Near-infrared hyperspectral imaging for predicting the quality of SO2 pre-treated and dehydrated mango
(2025-08-01)
Aozora, Wayan Dipasasri
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Tantinantrakun, Achiraya
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Thompson, Anthony Keith
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Teerachaichayut, Sontisuk
Prediction for quality indices of SO<inf>2</inf> pre-treated and dehydrated mango was accessed by NIR-HSI. Models for predicting TSS and SO<inf>2</inf> content achieved R = 0.82; RMSEP = 2.42% and R = 0.83; RMSEP = 56.40 mg/kg, respectively. Visualization of TSS and SO<inf>2</inf> content could be presented by predictive images.
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Impact of airport service quality, image, and perceived value on loyalty of passengers in Suvarnabhumi airport service of Thailand
(2021-09-01)
Boonchunone, Surasidh
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Nami, Mariam
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Tus-U-Bul, Saowaluck
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Pongthavornvich, Jaruzgorn
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Suwunnamek, Opal
Suvarnabhumi Airport is a gateway to Thailand and Asia. It attracts inbound-, outbound-and transit passengers. The objectives of this study were to develop an airport service quality, image and perceived value framework for the loyalty of passengers and to study the direct, indirect and total effects of the factors that influence the loyalty of passengers who used the service at Suvarnabhumi Airport. This quantitative research method uses the questionnaire as a tool for collecting data from 400 passenger samples. According to the Structural Equation Modelling analysis, airport service quality, image and perceived value have had a positive effect on loyalty that airport service quality mainly has an impact on passenger loyalty. There are four latent dimensions of airport service quality, namely, essential services; comfort, convenience and enjoyment; security, customs and passport control; and special facilities, that can help develop loyalty. Perceived value and image on airport administration and management had a significant direct effect to passenger loyalty. Improving these facotrs in order to attract passenger interest and attention can lead to the development of airport organization performance, and to increase competitiveness as an aviation hub in this region.
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Non-destructive quality assessment of hens’ eggs using hyperspectral images
(2017-12-01)
Suktanarak, Sineenart
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Teerachaichayut, Sontisuk
Freshness of hens’ eggs is important for consumers and the food processing industry and the Haugh unit (HU) is a commonly used index for freshness. Measurement of HU is destructive and also assumes that the sample that is tested accurately reflects the batch of eggs being processed. This research tests the use reflectance near infrared hyperspectral imaging in the wavelength range of 900–1700 nm for nondestructive prediction of eggs freshness and compared these measurements to HU. To achieve this fresh eggs were stored at 25 °C and were measured after storage for 0, 4, 7, 10, 14, 18 and 21 days by hyperspectral imaging technique and compared to HU for each egg. Hyperspectral imaging technique combines between conventional imaging and NIR spectroscopy to achieve spatial and spectral information from eggs. The acquired near infrared hyperspectral imaging data from samples in the calibration set were analyzed in order to develop a calibration model for HU using partial least squares regression (PLSR) and then crossvalidated. The standard normal variate transformation (SNV) spectral pretreatment gave the optimum conditions for establishing the calibration model with a coefficient of determination (R2) of 0.91 and root mean square error of calibration (RMSEC) of 4.58. Distribution maps of HU were generated from the acquired calibration model by interpretation of predicted HU to different colors using image processing algorithms. Displayed colors of acquired image of eggs were different correspond to the freshness of the eggs based on HU. The results show that the near infrared hyperspectral imaging technique can be possible to use for presenting the images of egg related to HU in order to nondestructively evaluate hens’ eggs freshness.
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Non-destructive prediction of total soluble solids, titratable acidity and maturity index of limes by near infrared hyperspectral imaging
(2017-11-01)
Teerachaichayut, Sontisuk
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Ho, Huong Thanh
This study was implemented for non-destructive prediction of total soluble solids (TSS), titratable acidity (TA) and calculation of TSS/TA as a measure of maturity index in intact limes using laboratory-based push-broom hyperspectral imaging (HSI) in reflectance mode in the range of 929–1671 nm. Limes were scanned by the HSI system in order to develop calibration models for predicting TSS, TA and TSS/TA using partial least square regression (PLSR). Original spectra obtained optimal conditions for establishing the models for TSS and TA while smoothing spectra for TSS/TA. The accuracy of the models for TSS, TA and TSS/TA provided coefficient of determination of prediction (R<sup>2</sup><inf>p</inf>) of 0.838, 0.694 and 0.775, respectively and root mean square errors of prediction (RMSEP) of 0.237%, 0.288% and 0.049, respectively. Image processing algorithms were then built up by interpreting predictive values, from the models, to colors in each pixel of the images. The predictive visualization of TSS, TA and TSS/TA in all portions of the limes based on a color scale was presented. The results showed that the HSI technique has the capability of predicting TSS, TA and TSS/TA of intact limes non-destructively and the results could be visualized by different colors of the predictive images.
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Elongation measurement using 1-dimensional image correlation method
(2016-01-01)
Phongwisit, Phachara
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Kamoldilok, Surachart
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Buranasiri, Prathan
Aim of this paper was to study, setup, and calibrate an elongation measurement by using 1- Dimensional Image Correlation method (1-DIC). To confirm our method and setup correctness, we need calibration with other methods. In this paper, we used a small spring as a sample to find a result in terms of spring constant. With a fundamental of Image Correlation method, images of formed and deformed samples were compared to understand the difference between deformed process. By comparing the location of reference point on both image's pixel, the spring's elongation were calculated. Then, the results have been compared with the spring constants, which were found from Hooke's law. The percentage of 5 percent error has been found. This DIC method, then, would be applied to measure the elongation of some different kinds of small fiber samples.
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Ensuring customer satisfaction through service quality and image management in the hospitality industry: A conceptual perspective
(2015-01-01)
Tamwatin, Utid
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Trimetsoontorn, Jirasek
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Fongsuwan, Wanno
Service quality and customer satisfaction have been studied a great deal within services marketing literature. Many measurement models of service quality have been presented mostly revolving around the SERVQUAL and Gronroos' (1984) technical and functional quality model. These models mostly discussed the functional attributes ignoring significance of service quality's technical attributes and image in developing customers' perceptions and satisfaction. Therefore, this paper presents a conceptual framework that is based on Gronroos' (1984) technical and functional model, where technical quality is assessed by Wu and Ko's (2013) dimensions and functional quality is assessed by the lodging quality index (LQI). The proposed framework focuses on the interrelationships between functional quality, technical quality, image, perceived service quality and customer satisfaction. Cue-utilisation theory is used as the theoretical base for this model. Suggestions for managers and researchers are also given on implementing the core concepts from the model.

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