Journal of Advanced Development in Engineering and Science

Designing Tractor Parts Inspection Equipment Using Quality Function Deployment Techniques Combined with Techniques for Order Preferenceby Similarity to Ideal Solution Method

Pariwat Nasawat — 2025-05-16

The decision-making process in designing inspection equipment for tractor parts is a complex problem due to the various alternative and interrelated factors that need to be considered together. Therefore, this research presents the Quality Function Deployment (QFD) technique in conjunction with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to plan the product and design. It begins with listening to the requirements of the target group and analyzing QFD technique data. Then, the TOPSIS technique is used for the evaluation and ranking of importance. The test results revealed that in Phase 1: Product Planning, which has 13 alternatives (A1 to A13), alternative A8 is the best, with ccwi = 0.800, followed by alternative A10 (ccwi = 0.756) and A11 (ccwi = 0.700). In Phase 2: Design, which has 5 alternatives (A1 to A5), alternative A2 is the best, with ccwi = 0.800, followed by alternative A4 (ccwi = 0.772) and A5 (ccwi = 0.729). The result of the evaluation found that the average satisfaction score increased from 4.21 to 4.34, which is a percentage increase of 3.09.Therefore, this research can serve as a guideline for evaluating and prioritizing the importance of product planning and designing inspection equipment for other parts.

Forecasting for Thailand's Monthly Sugar Export Using Time Series Model

Piyatida Heunghung — 2025-05-16

The objectives of this research were to find a forecastting model of the monthly sugar export volume of Thailand by the three methods: the Holt Exponential Smoothing, Holt Winter's Exponential Smoothing, and ARIMA method, and to compare the performance of the forecasting models with the minimum root mean squar eerror (RMSE) criterion. The data were the 83 monthly sugar export volumes of Thailand from January 2017 to November 2023, reported by the Customs Department, Thailand. The first 72 records of data, from January 2017 to December 2022, were used to build the models with all of the methods. The last 11 records of data are used to test the performance of models. The results found that the most appropriate model for forecasting the monthly sugar export volumes of Thailand was the ARIMA (1,1,0)(0,1,1)₁₂ model with the lowest RMSE value of 44.5986. The second best model to forecast the monthly sugar export tvolume of Thailand was the additive Holt-Winter's exponential smoothing model with an RMSE value of 45.9401.

Comparative Study of Query Performance between Relational Database and NoSQL Database for Information System: A Case Study of the Asset Database of Information Technology Service Center

Yaowapa Jaratsantijit — 2025-05-16

This research aimed to study approaches for data storage in NoSQL databases and compare the query performance between relational databases and NoSQL databases for an information system. The case study involved the asset dataset of the Information Technology Service Center, Chiang Mai University. The relational database used in the study was MySQL, which stores data in tables consisting of rows and columns. The NoSQL database used was MongoDB, which stores data as documents with field-value pairs. PHP was used to develop a web application for testing. The researcher designed query commands and developed a web application to evaluate the query performance between the two types of databases.The initial results indicated that querying asset data using the relational database was faster than using the NoSQL database. However, the results from both databases were accurate and consistent, yielding 100% correctness. The slower performance of the NoSQL database was attributed to its data structure. When converted from a relational database, data in the NoSQL database was stored as a Referenced Document across separate collections. This required the use of functions to join data from multiple collections, leading to increased processing time and slower query performance. Further analysis was conducted to confirm that NoSQL databases could handle large-scale data more efficiently than relational databases. A larger sample database containing employee and salary data, with a data size 100 times larger than the asset dataset, was used for additional testing. The results demonstrated that, for queries involving a single table or a single collection, both with and without conditions, NoSQL databases outperformed relational databases in query performance. To apply NoSQL databases effectively in future asset management systems, it is recommended to modify the data structure from Referenced Document to Embedded Document. This structure consolidates all related information within a single document, allowing for faster query processing. Additionally, the application code should be adjusted to support and manage NoSQL databases efficiently.

Laser Welding Weld Bead Uniformity Control Using Molten Pool Temperature by Closed Loop Adaptive PID

Teerawat Benjawilaikul — 2025-05-16

Laser welding offers significant benefits, including a high energy input rate that results in a fully penetrated weld seam. However, the quality of the weld may be compromised when joining workpieces with inconsistent thickness.This research proposes a control methodfor the laser welding process of low carbon steel (AISI 1018) with thicknesses ranging from 0.5 to 1.0 millimeters.This study utilizes infrared camera imaging to analyze the average temperature in the molten pool andthen sends this data to an Adaptive PID control system. This system regulates the average temperature, which serves as a primary input variable to control the welding power, by using gain k_p= 0.003–0.0075, ki = 0.0002 – 0.0005 and kd = 0.003 – 0.021 thereby ensuring a correlation with the thickness of the workpieces. The study found that the Adaptive PID control system for laser welding effectively maintain the average temperature in the molten pool withan accuracy of ±3 °C from the setpoint. As a result, the weld seams demonstrate consistency and complete penetration.

A Variable Step Size Leaky Least Mean Square Adaptive Algorithm

Prayuth Inban — 2025-05-16

This article proposes a variable step-size leaky least mean square (VS-LLMS) adaptive algorithm for an adaptive filter. The proposed variable step-size algorithm is based on the criterion of squared error autocorrelation accumulation. In addition, the proposed VS-LLMS algorithm hascomputational complexity lower than the VSS-LLMS algorithm. Under the system identification model in stationary process, the theoretical analysis which is the steady state behavior of the algorithm is also proposed in the paper. The simulation results have been shown that, they have trend corresponding with those of the analytical results. Furthermore, the performance comparison of the proposed adaptive algorithm by simulation is also compared to the other algorithms such as LLMS and VSS-LLMS algorithms under the same testing condition of the system. The results have shown that the VS-LLMS algorithm have low level steady-state mean square deviation (MSD) whose valuesare lower than other algorithms. Therefore, the proposed algorithm outperforms the LLMS and VSS-LLMS algorithms.

Optimal Design of Fourth-Order Active Band-Pass Filter via Grey Wolf Optimizer

Wattanawong Romsai — 2025-05-16

บทความนี้นำเสนอการออกแบบวงจรกรองผ่านแถบแบบแอกทีฟอันดับ-4 อย่างเหมาะสมด้วยตัวหาค่าเหมาะที่สุดแบบหมาป่าสีเทา (grey wolf optimizer: GWO) ซึ่งเป็นเทคนิคการค้นหาค่าเหมาะที่สุดแบบอภิศึกษาสำนึกที่ทรงประสิทธิภาพโดยอาศัยโครงสร้างวงจรตามแบบ Sallen-Key ผลการออกแบบวงจรกรองผ่านแถบแบบแอกทีฟอันดับ-4 ด้วย GWO บนหลักกการหาค่าเหมาะที่สุดแนวใหม่ จะถูกนำไปเปรียบเทียบกับวิธีดั้งเดิมที่ใช้หลักการเทียบค่าสัมประสิทธิ์ของวงจรกรอง Butterworth จากผลการออกแบบพบว่าวงจรกรองผ่านแถบแบบแอกทีฟอันดับ-4 ที่ออกแบบด้วย GWO ให้ผลใกล้เคียงกับผลตอบสนองทางความถี่อุดมคติ กว่าวิธีดั้งเดิมที่ใช้หลักการเทียบค่าสัมประสิทธิ์ของวงจรกรอง Butterworth อย่างน่าพึงพอใจ

Evaluation of Total Phenolics, Total Flavonoids, Antioxidant Capacity and Antimicrobial Activity of Herbal Extracts in Thai Traditional Medicine Recipes

Nattida Sirisom — 2025-05-16

This research aims to assess the potential of six herbal species in Thai traditional medicine recipes for inhibiting pathogenic microorganisms and combating free radicals. Additionally, the total phenolic and total flavonoid contents of the extracts were analyzed using the Folin-Ciocalteu method and colorimetric aluminum chloride, respectively. Preparing the extracts from six herbal plants (Drypetes roxburghii, Cleome viscosa, Blumea balsamifera, Glycosmis pentaphylla, Rhinacanthus nasutus and Curcuma zedoaria) using ethanol and ethyl acetate as solvents. Subsequently, the effectiveness of the extracts in inhibiting microorganisms and their antioxidant activity was assessed using colorimetric broth microdilution and DPPH radical scavenging assays, respectively. The results indicated that extracts from each herbal species effectively inhibited nine pathogenic microorganisms and exhibited strong antioxidant properties. The ethanol extracts from D. roxburghii and C. viscosa showed the best inhibition against Staphylococcus epidermidis and Taralomyces marneffei, with a minimum inhibitory concentration (MIC) of 50 µg/mL. Furthermore, the antioxidant assays revealed that the ethanol extracts from D. roxburghii and C.viscosa had the highest DPPH inhibition values of 15.32 ± 0.38 and 24.75 ± 0.97 µg/mL. Furthermore, the highest total phenolic content was found in the ethanol extract from D. roxburghii and C. viscosa at 82.20 ± 0.56 and 124.98 ± 0.74 mg gallic acid equivalent/g extract, respectively. This study suggests that each herbal species in traditional Thai medicinal recipes is a potential sources of bioactive compounds.

Effect of Light Source Distance on Light Dependent Resistor (LDR) for Turbidity Measurement in Frog Nursery Ponds

Jatupol Kongson — 2025-05-16

This study evaluated the suitability of a light-dependent resistor (LDR) for developing a turbidity measurement instrument for frog nursery ponds. A 5 mm LDR, model 5528, was used in a PVC apparatus that allowed adjustment of the distance between the light source and the LDR at intervals of 10, 20, 30, 40, and 50 centimeters. Standard turbidity solutions of 15, 30, 45, 60, and 75 NTU were used. The resistance values in the LDR circuit were measured using a multimeter, and the obtained resistance values were used to create linear regression equations. The study found that distances of 10 and 20 centimeters between the light source and the LDR were optimal for developing the turbidity measurement instrument for frog nursery ponds. The linear equations derived were y = 84.13x + 1,254 and y = 64.88x + 1,841 with R - squared values of 0.994 and 0.990, respectively. The R-squared values close to 1.000 indicate a strong relationship between the independent and dependent variables.

Food Waste Management Using a Web Application : A Case Study of the Pilot Area in Nonthaburi Municipality, Thailand

Pantakan Choochote — 2025-05-16

Food waste management presents a significant challenge in sustainable urban development, particularly in rapidly growing cities with high population density. This research aimed to study the waste management situation and food waste quantities in Nonthaburi Municipality, leading to the development of a web application for food waste management. The study revealed that Nonthaburi Municipality generates 304.98 tons of municipal solid waste daily (111,315.97 tons annually), with food waste constituting 40.35% (121 tons/day). Analysis of food waste generation from three primary sources - fresh markets, food courts, and condominiums - showed an average generation of 749.9 kg/day. Fresh markets demonstrated the highest generation rate at 2,042.4 kg/day, followed by condominiums and food courts at 115.9 and 91.5 kg/day, respectively. Compositional analysis of food waste revealed that vegetable scraps, fruit peels, fish bones, animal bones, and eggshells (FW2) comprised the majority at 65.06%, followed by food remnants and meat scraps (FW3) at 33.55%, while surplus food (SF) represented only 1.39% of the total waste. The developed web application, 'Nakornnontfoodwaste', effectively facilitated connections between waste generators and potential users. User feedback indicated high satisfaction with its convenience, user-friendliness, and utility, with suggestions for mobile application development to enhance accessibility. The study concludes that digital technology integration in food waste management demonstrates significant potential for improving urban waste management efficiency, aligning with smart city development concepts and sustainable waste management practices.

Initial Evaluation of Microstructure and Mechanical Properties of SA213 T22 Superheater Tube in a Bituminous Coal-Fired Power Plant

Amornsak Mayai — 2025-05-16

A comprehensive understanding of microstructural and mechanical property changes is essential for assessing superheater tube conditions. This article presents the initial monitoring of microstructural and mechanical property change of SA213 T22 utilized in a coal-fired boiler. The monitoring involves visual examination, chemical composition test, micrographic investigation, tensile and hardness test. Results show that exposure to the elevated temperature and ash deposition promotes oxidizing environment, subsequently leading to thermal oxidation and decarburization.The combination of both degradation results in the decreased strength and harness as well as the increased elongation in the SA213 T22 steel tube exposed to the superheat condition for three years. Regular inspections are recommended to ensure the availability of the tubes. Additionally, metallurgical replica testing is advised for the microstructural evaluation of the superheater tube.