Journal of Applied Science and Emerging Technology

Modifications of linear regression classification method for face recognition with image resizing by using bicubic interpolation

Krailikhit Latpala — Tue, 22 Apr 2025 00:00:00 +0700

Linear Regression Classification (LRC) is a method used in face recognition to identify a person by extracting features of a test image and comparing them with the features of representative images in a dataset. The LRC represents a test image vector as a linear combination of image vectors from each individual in the dataset, using the least squares method to find the minimum distance to the test image vector. The least distance from all the models of representative sets is used to identify the test image. However, the effectiveness of LRC depends on various facial variations. In this research, applied bicubic interpolation to resize images and extract new features from facial data, which enhanced the discriminative power of the extracted features. Also used K-means clustering techniques to select the most suitable representative images from each individual for the dataset. Additionally, used the Manhattan norm to measure distances during the identification process. Experimental results indicate that these suggested enhancements improve the efficiency of face recognition when integrated into the LRC algorithm.

Generalization of \alpha-G-Contractions to j-G-Contractions on Uniform Spaces

Atthakorn Sakda, Sittichoke Songsa-ard — Tue, 22 Apr 2025 00:00:00 +0700

This work introduces the concept of j-G-contractions on uniform spaces generated by a saturated collection of pseudo metrics, extending the theoretical framework of \alpha-G-contractions. Two main theorems are presented, both of which establish that if the map satisfies certain conditions, then it is a Picard operator. The first theorem relies on conditions defined by the structure of the space and graph, while the second theorem utilizes conditions related to orbital G-continuity. Criteria are provided for verifying j-G-contraction conditions, and it is shown that these maps satisfy the conditions of the main theorems. Some findings demonstrate that modifying the graph to satisfy j-G-contraction conditions can lead to an enlarged convergence set.

Application of Yeast strain Saccharomyces cerevisiae to Produce Wine by Using Rice and Pineapple as Raw Material

Nutthawut Meesilp, Yanapath Suksoem — Tue, 22 Apr 2025 00:00:00 +0700

The purpose of this research was to produce fruit-flavored fermented glutinous rice wine by using yeast S. cerevisiae with rice and pineapple as raw materials for fermentation. Kiaw-ngu glutinous rice variety and pineapple were prepared as the mixture solutions with different ratios (rice : pineapple) as 100%–20% (v/v). Total 9 formulas of experiment were established for 7 days under anaerobic condition, and measured the characteristics of fermentative solutions in each day. The fermentation exhibited initial pH in acid ranges (4.50–4.70) and high total solid (15.0-21.9 °Brix). Alcohol value, clarity, and yeast population have gradually increased since 2 days of fermentation, whereas, pH and total solid had continuously decreased until 7 days. Especially, the mixture solution of ratio 80:20 exhibited the highest percentage of alcohol value as 9.77%, including, population of S. cerevisiae did not decline with average values as 7.51 log cfu/ml. On the other hand, pH, and total solid value have continuously decreased until 7 days of fermentation.

Value-Added Utilization of Sugarcane Juice Through Levulinic Acid Synthesis

Tue, 22 Apr 2025 00:00:00 +0700

Sugarcane (Saccharum officinarum) is a significant economic crop in Thailand, with potential for value addition through the synthesis of levulinic acid, a crucial compound in various industries such as bioplastics, chemicals, and biofuels. This study aims to examine the effect of pre-harvest storage duration (0-5 weeks) on the yield, composition, and physical properties of sugarcane juice, as well as to determine the optimal conditions for producing and purifying levulinic acid from sugarcane juice. The factors considered in this study include sulfuric acid concentration (0.01 and 0.03 mol/L), temperature (160, 180, and 200°C), reaction time (1 and 3 hours), and sugarcane juice concentration (60% and 80% by volume). The results revealed that pre-harvest storage duration (0-5 weeks) had no significant effect on the yield, density, pH, and sweetness of the juice, but did impact the total sugar and reducing sugar content. The optimal conditions for levulinic acid production were found to be a sulfuric acid concentration of 0.03 mol/L, a temperature of 180°C, and a reaction time of 3 hours, yielding the highest concentration of levulinic acid at 22.92±0.9 mg/g. Purification of levulinic acid was achieved by adding diatomaceous earth, which helped precipitate impurities and increased the levulinic acid concentration by 50%. However, the complete removal of sulfuric acid and some impurities was not achieved. Therefore, further process development is recommended to achieve a levulinic acid purity of up to 95%.

Selection of Waste-to-Energy Technologies with Economic and Financial Analysis for Application in the Integrated Solid Waste Management Center, Rayong Province

Sakaradhorn Boontaveeyuwat, Kiatkrai Ayuwat, Peerawas Wangstitstaporn — Tue, 22 Apr 2025 00:00:00 +0700

The Rayong Provincial Integrated Solid Waste Management Center serves as a critical hub for managing solid waste in Thailand, designated to handle large-scale waste management clusters (L clusters) with a current capacity of over 1,000 tons per day. However, future waste projections indicate an alarming increase to 2,000 tons per day within the next two decades, necessitating the adoption of advanced technologies to enhance waste management efficiency and facilitate waste-to-energy transformation. This study aims to identify and evaluate innovative waste management technologies to address these challenges, including grate incineration, anaerobic digestion, landfill gas collection, refuse-derived fuel (RDF) processing, and gasification. A systematic methodology was employed, beginning with a qualitative analysis to determine the most suitable technological alternatives for each category. These alternatives were subsequently evaluated and scored across four dimensions: technical performance, economic viability, environmental impact, and social acceptability. The final step involved a comprehensive economic analysis of the selected technologies. The results identify grate incineration technology as the most effective solution for improving waste management efficiency and converting waste into energy. The economic feasibility analysis reveals a benefit-cost ratio (B/C) of 1.22, an economic internal rate of return (EIRR) of 14.96%, and a net present value (NPV) of 415.54 million baht. Additionally, financial feasibility assessments show a revenue-cost ratio (R/C) of 1.01, a financial internal rate of return (FIRR) of 8.09%, and an NPV of 15.50 million baht. These findings highlight the potential of grate incineration technology as a sustainable and economically viable solution to meet future waste management demands in Rayong Province, offering a replicable model for other regions confronting similar challenges.

The study of microalgae growth Monoraphidium sp. using carbon dioxide absorption from biogas via photo-bioreactor system

Nantanit Tohpong, Patomporn Pulsawad, Watcharee Kunyalung — Tue, 22 Apr 2025 00:00:00 +0700

The potential of algal in order to capture and reduce the amount of carbon dioxide (CO2) is referred to Carbon dioxide capture or Biological CO2 mitigation. It is the alternative process to take advantage of biochemical reactions of microalgae called photosynthesis. Consequently, microalgae are the single cell that contains with photosynthetic pigment to absorb and utilize energy from sunlight. Particularly, using CO2 is carbon source while photosynthesis to create biomass of cell. This research implements the theory of photosynthetic process to aim upgrading biogas via carbon dioxide absorption. The ability of CO2 absorption impacts the ratio of methane in biogas to become biomethane. The main point of this research focuses on Monoraphidium sp. strain that is cultured in the various growth conditions to affect biomass production, increase of photosynthetic pigment and efficiency in biogas upgrading. The experimental design is divided into three sets of experiments including a control set, aeration and biogas set. Microalgae was cultured in media; BG-11, pH 7, at room temperature with a light intensity of 60 μmol.m−2.s−1 (μmol photons m−2 s −1). The light exposure is 12 hours and dark period 12 hours. Practically, the control and biogas feeding set was operated with a biogas flow rate at 3 ml/min during time 12 hours simultaneously light explosion and aeration. The experiment found that biogas feeding set showed the highest efficiency in the biogas upgrading. The increased biogas reached to 96.41% and the CO2 reduced by 96.78%. In portion of biomass, the weight of dry cell was maximum at 1.42 g/l. In the same way, the amounts of photosynthetic pigment, chlorophyll A, chlorophyll B, chlorophyll AB and carotenoid were detected in the highest level at 15.85, 4.84, 21.22 and 81.48 μg/l, respectively. Presently, the continuous increase of CO2 is the crucial cause of greenhouse gases that are inevitable to become the environmental problem of the global. Accordingly, this research is the alternative approach to solving and reducing the released CO2 through environment.

A predictive model for the work needs of the elderly in Thailand in 2021

Khemika Urawong, Warisara Hem-aran, Wasinee Khaosomboon, Wilawan Janduang — Tue, 22 Apr 2025 00:00:00 +0700

The purpose of this research is to identify the factors associated with the work needs of the elderly and to develop a predictive model for the work needs of the elderly. The sample data included in the study is data on Thai elderly aged 55 years and older, totaling 11,988 people, covering five regions (1. Bangkok, 2. Central-East-West Region, 3. Northeastern Region, 4. Northern Region, 5. Southern Region) from the 2021 according to the National Statistical Office's 2021 Elderly Population Survey Project in Thailand. Statistical analyses used include the Chi-squared test and logistic regression analysis. The research findings indicate that 5,232 elderly people (43.6%) expressed a desire for employment. Pre-retirement elderly individuals have a significantly higher desire for employment (73.5%) compared to post-retirement elderly individuals (32.7%). Factors significantly associated with the work needs of the elderly include region, province, residential area, household size, household living status, gender, age, marital status, number of children, homeownership, highest level of education completed, literacy, occupation during the past 12 months, main source of income, average annual income from all sources, income adequacy, savings, debt status, physical health over the past 7 days, and economic diversity. The predictive model for the work needs of the elderly, with an accuracy of 92.3%, is as follows:

P (Work needs of the elderly) =1/(1+exp(z)) When z = - 4.808 + 6.587 (occupation during the last 12 months).

Model for Forecasting the Value of Fresh or Chilled Fish Exports in Thailand

Warangkhana Riansut — Tue, 22 Apr 2025 00:00:00 +0700

This study aims to construct the appropriate forecasting model for the export values of fresh or chilled fish in Thailand via statistical methods. The monthly average data gathered from the Office of Agricultural Economics website from January 2011 to December 2021, 132 months, were divided into 2 datasets. The first dataset, which consisted of 120 months from January 2011 to December 2020, was used for constructing the forecasting models via the use of 7 statistical methods, namely, Box-Jenkins method, Holt’s exponential smoothing method, Brown’s exponential smoothing method, damped trend exponential smoothing method, simple seasonal exponential smoothing method, Winters’ additive exponential smoothing method, and Winters’ multiplicative exponential smoothing method. The second dataset, which consisted of 12 months from January to December 2021, was used to compare the accuracy of the forecasting model via the lowest mean absolute percentage error and root mean square error. The results indicated the most accurate method was the damped trend exponential smoothing method.