Suan Sunandha Science and Technology Journal

A model for converting data into NoSQL data warehouse for developing a real-time financial data warehouse system

2024-04-02T10:27:13+07:00

This research introduces a novel model, the Financial Data Warehouses API (FDW-API), developed using PHP, Node.js, and Express.js. The model is designed to transform banking credit dataset information into a data warehouse format using a Non-Only SQL (NoSQL) database, stored in JSON format. Three types of databases were employed: MongoDB Node, MongoDB Serverless, and Cassandra. The study includes a comparative analysis of the data retrieval speed from all three databases. The model's applicability was tested in a real-time credit approval web application, demonstrating its effectiveness in transforming and storing data. Testing involved loading datasets ranging from 200, 300, 400, 500, 600, 800, and 1000 entries. Results indicate that the MongoDB serverless database outperformed others in terms of efficiency. Additionally, the FDW-API model streamlines data transformation and storage, facilitating real-time analysis and decision-making for financial institutions and data-driven businesses. Its flexibility integrates seamlessly with existing systems, reducing development time and costs, while its scalability accommodates growing data volumes and evolving business needs, providing a valuable tool for strategic insights and competitive advantage.

Electrospun Cellulose Acetate/Maleic Acid Functionalized Gold Nanoparticles as Pb(II) Ions Colorimeter Senser Strip

2024-05-01T09:33:27+07:00

This study investigates the synthesis of gold nanoparticles and surface modifications to enable their utilization as a colorimetric sensor strip on electrospun nanofibrous. Additionally, it utilizes cellulose acetate electrospun fiber preparations as substrates for loading the gold nanoparticles. In order to produce gold nanoparticles, citrate reduction was employed, followed by modification with maleic acid (MA-GNPs). MA-GNPs were significantly more selective for Pb²⁺ than for other ions (Co²⁺, Cu²⁺, Hg²⁺, Ni⁺), according to the results. Following the introduction of Pb²⁺, the solutions exhibited a color change from red to blue or purple, which was attributed to the aggregation of nanoparticles, as determined by UV-Vis spectrometry. An optical band indicative of GNPs and MA-GNPs was detected at an estimated wavelength of 520 nm. Approximately 600 nanometers after the addition of Pb²⁺, the intensity of the solution progressively decreased to 520 nanometers, and a new band emerged. To fabricate cellulose acetate nanofibrous via electrospinning, the impact of solvent ratios, polymer concentrations, and process conditions were investigated. The ideal parameters for the fabrication of the substrate were as follows: 15%w/w polymer solution, 15 kV electrospinning voltage, 15 cm needle-to-collector distance, and 48 hours of collecting time. In order to examine the color change of the prepared strip, it is observed that the strip transforms from red to blue upon exposure to Pb²⁺ ions of varying concentrations, just as it does in solution form. An examination of water samples indicated that the strip remained colorless when tested with DI water. However, testing with wastewater sourced from a battery facility identified a transformation of the strip from red to purplish blue. This is equivalent to an estimated lead concentration of 40 parts per million. The outcomes showcased the capacity of the discolored strips to identify the preliminary concentration of lead ions, suggesting potential for future advancements in this area.

Nutritional Value, Bioactive Compounds, and Antioxidant Activity of Phak-liang (Gnetum gnemon Linn. var. tenerum Markgr.) in Surat Thani Province, Thailand

2024-05-28T16:05:07+07:00

The nutritional value, bioactive compounds, and antioxidant activity of Phak-liang (Gnetum gnemon Linn. var. tenerum Markgr.) were investigated. The indigenous vegetables were collected from three districts; Muang, Bannasarn, and Khirirat Nikom in Surat Thani Province. The nutritional value of the samples was carried out according to the methods of AOAC. The moisture contents ranged from 84.72-87.52%, and the ash contents ranged from 0.78-1.07% fresh weight. The percentage of fiber, protein, fat, and carbohydrate in the leafy vegetables were in the range of 3.06-3.81, 3.44-4.68, 0.65-1.08 and 7.49-9.55 fresh weight, respectively. The samples were analyzed by ICP-OES for their mineral determinations. The amounts found in the samples, in descending order were: K > Ca > Mg > Mn > Na> Fe > Zn > Cu. Considering the amounts of minerals found in the vegetable and their recommended daily values by the Bureau of Nutrition (Ministry of Public Health, Thailand), the daily value (DV) percentage of Mn in the samples were relatively high (28.45-96.65%), whereas K, Mg, Ca, Fe, Cu and Zn contributed from 1.29–8.42% of the daily values. The vegetable had negligible amounts of Na (0.03 - 0.07% of the DV). The antioxidant capacities were analyzed using Ferric Reducing Antioxidant Power (FRAP) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay. The results showed that antioxidant activity increased by the concentration of the ethanol extracts. The FRAP values of the extracts ranged from 89.01-160.70 µM FeSO₄/100 g dry weight, and the IC₅₀ values calculated for DPPH radical scavenging activities of the extracts ranged from 54.37-60.57 mg/mL. The results suggested that Phak-liang is a potential source of natural phytochemicals and could be used for health promotion in the community.

Developing an Innovative Health Information Service System: The Potential of Chatbot Technology

2024-06-28T16:14:19+07:00

This study is a research and development with 3 main objectives: (1) to design and to develop a health management system; (2) to evaluate the efficiency and acceptability of technology; and (3) to compare the average Body Mass Index (BMI) before and after utilizing the developed health management system guided by the principle of the wellness plan. The study was divided into 3 phases: (1) study phase that conducts semi-structured interview with a group of students and healthcare professionals, along with literature review; (2) development phase that the health management system used an adapted waterfall model, dividing the system into two parts: website and Line Chatbot; and (3) experimentation and evaluation phase which the data were collected by using questionnaires that were used and analyzed by using descriptive statistics. This study found that the developed health management system was evaluated at a high level by 3 experts. Additionally, the system acceptability was evaluated at a high level by sample group of 33 individuals. The result of research showed that the developed system was able to be used as a tool for primary health management in the areas of diet planning and exercise including to the ability to track and analyze your own health.

The Efficacy of Clustering Algorithms for Young ‘Nam-Hom’ Coconut Gene Expression Data in Unveiling the Specific Genes Determining the Flavor: A Comparative Analysis of K-means and Fuzzy C-means

2024-05-17T13:35:14+07:00

This study explores the application of K-means and Fuzzy C-means clustering techniques to analyze gene expression data related to the flavor of young ‘Nam-Hom’ coconuts. By comparing these clustering methods, the research aims to identify gene clusters that significantly influence the aromatic and off-flavor profiles of young ‘Nam-Hom’ coconuts stored at different temperatures (4°C and 25°C). Specifically, our findings highlight clusters involved in lipid metabolism and cold stress response which are crucial for developing desirable and undesirable flavors, such as LOX1 and ADH2 genes. The study advances our understanding of coconut genetics demonstrates the utility of clustering techniques in agricultural genomics, offering valuable pathways for future genetic enhancement and storage optimization strategies aimed at improving coconut aroma.

A New Type of Extended Soft Set Operation: Complementary Extended Union Operation

2024-06-18T15:50:39+07:00

Soft set theory was proposed by Molodtsov in 1999 to model some problems involving uncertainty. It has a wide range of theoretical and practical applications. Soft set operations constitute the basic building blocks of soft set theory. Many kinds of soft set operations have been described and applied in various ways since the inception of the theory. In this paper, to contribute to the theory, a new soft set operation, called complementary extended union operation, is defined, its properties are discussed in detail to obtain the relationship of each operation with other soft set operations, and the distributions of these operations over other soft set operations are examined. We obtain that the complementary extended union operation along with other certain types of soft set operations construct some well-known algebraic structure such as Boolean Algebra, De Morgan Algebra, semiring, and hemiring in the set of soft sets with a fixed parameter set. Since Boolean Algebra is fundamental in digital logic design, computer science, information retrieval, set theory and probability; De Morgan Algebra in logic and set theory, computer science, artificial intelligence, circuit design; semirings in theoretical computer science, optimization problems, economics, cryptography and coding theory, and hemirings in combinatorics, mathematical economics, theoretical computer science, these algebraic structures provide essential tools for various applications, facilitating the analysis, design, and optimization of systems across many disciplines, and thus this study is expected to contribute to decision-making methods and cryptography based on soft sets.

Analysis of Land Use Changes with the Google Earth Engine (GEE) Platform: A Case Study in Saraburi Province

2024-06-19T14:44:19+07:00

The increasing trend of industrial development has led to rapid changes in land use over the past few years. The changes in land use in Saraburi Province were studied during three periods: the years 2000, 2010, and 2021, using Landsat satellite imagery processed with the Google Earth Engine (GEE) platform. The Random Forest (RF) machine learning algorithm was employed to classify land use activities into five categories based on the criteria set by the Department of Land Development. The overall accuracy values for land use were 83.59%, 82.42%, and 80.78%, respectively. The changes in land use have clearly affected the urban and built-up area. In 2000, there were only 7,561.15 ha, but by 2021, the area had increased to 34,221.11 ha. Forest areas also saw an increase. In 2000, there were only 79,626.26 ha, which increased to 163,542.05 ha in 2021, reflecting that Saraburi Province places importance on green areas. In contrast, agricultural areas decreased, which was attributed to the increasing number of households, according to the statistical report from the Department of Provincial Administration. In 2000, there were 168,979 households, and by 2021, they had increased to 288,275 households, resulting in a change in land use from agricultural areas to urban and built-up areas, totaling 22,114.95 ha. This information can be used as a guideline for planning development and land use to promote Saraburi Province, aiming towards becoming an eco-industrial city that is livable and has sustainable environmental quality in the future.