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Development of media for youth ‘Khun Chang Khun Phaen : Khun Chang Dedicate The Petition’ to facilitate creative tourism and economy in Suphanburi

Abstract

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Objective

ปัจจุบันเยาวชนขาดความสนใจและไม่เห็นความสำคัญของการเรียนวรรณคดี เพราะคิดว่าเป็นเรื่องยาก, ซับซ้อน และขาดสื่อการเรียนรู้ที่ทันสมัยและน่าสนใจ ดังนั้นผู้วิจัยจึงเลือกวรรณคดีเรื่องขุนช้างขุนแผนตอนขุนช้างถวายฎีกาที่ใช้สอนในระดับชั้นมัธยมศึกษาปีที่ 6 มาพัฒนาเนื่องจากเป็นวรรณคดีที่สะท้อนวิถีชีวิต ประวัติศาสตร์ ขนบธรรมเนียมประเพณี สถานที่ท่องเที่ยวที่มีอยู่จริง โดยจะพัฒนาสื่อประชาสัมพันธ์ให้ทันสมัย เหมาะกับเยาวชนเพื่อแก้ปัญหาจากการเรียนวรรณคดีดังที่กล่าวมา นอกจากนี้สื่อประชาสัมพันธ์ที่สร้างขึ้นสามารถใช้เพื่อส่งเสริมการท่องเที่ยวและเศรษฐกิจเชิงสร้างสรรค์ของจังหวัดสุพรรณบุรี

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Aspect-Based Sentiment Analysis for E-Commerce Product Reviews

In today’s rapidly expanding e-commerce environment, the massive volume of product reviews makes it crucial to summarize user opinions in a way that is both comprehensible and practically applicable. This research presents a system for analyzing product reviews using Aspect-Based Sentiment Analysis (ABSA), a Natural Language Processing (NLP) technique that identifies key aspects of a review (such as shipping, product quality, and packaging) and evaluates the sentiment (positive, negative, or neutral) associated with each aspect, allowing both consumers and merchants to gain more efficient access to in-depth insights. This project focuses on developing AI for Thai-language ABSA by utilizing WangchanBERTa, a model trained on Thai data, and comparing it with various standard approaches such as TF-IDF + Logistic Regression, Word2Vec + BiLSTM, and Multilingual BERT (mBERT/XLM-R) to assess their performance in terms of accuracy, speed, and resource usage. Additionally, a dashboard visualization is provided to help users quickly grasp review trends. The expected outcome is to create an AI tool that can be practically employed in the e-commerce industry, enabling consumers to make easier purchasing decisions and assisting merchants in effectively improving their products and services.

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Enchancing stability of cooking oils using ultrasound-assisted infusion with Thai herbs

คณะอุตสาหกรรมอาหาร

Enchancing stability of cooking oils using ultrasound-assisted infusion with Thai herbs

The reuse of cooking oil in food preparation leads to oil degradation and the formation of harmful compounds due to oxidation. This study focuses on enhancing the stability of used palm oil through ultrasound-assisted infusion with three varieties of banana blossoms: Kluai Khai, Kluai Hom, and Kluai Nam Wa, which are rich in phenolic compounds and antioxidants. The research investigates the restoration of used palm oil by infusing dried and powdered banana blossoms using ultrasonic treatment at different temperatures and durations. The quality of the infused oil was evaluated through physical (water activity, moisture content, and color), chemical (peroxide value, acid value, and Thio barbituric acid reactive substances), and antioxidant activity (DPPH, ABTS, and FRAP) analyses.

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COMMUNICATION ASSISTANCE SYSTEM FOR PARALYZED IMMOBILE PATIENTS BY EYE TRACKING

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COMMUNICATION ASSISTANCE SYSTEM FOR PARALYZED IMMOBILE PATIENTS BY EYE TRACKING

This project aims to design and develop an eye-tracking system to facilitate communication for paralyzed immobile patients. The system is designed to enable patients to convey their needs to caregivers or family members by detecting and tracking eye movements using the Tobii Eye Tracker 5 device. This approach serves as an alternative communication method, replacing the physical movement or speech of paralyzed patients. The system effectively detects and tracks eye movements at a distance of 55 to 85 centimeters and is designed for installation on a computer to ensure ease of use. The program interface consists of three main sections: (1) a set of emotions, (2) a set of needs, and (3) a set of additional needs. It supports input from a virtual keyboard in both Thai and English and allows users to specify additional needs through eye-tracking-enabled typing. Furthermore, the system can generate synthetic speech for text that is difficult to pronounce aloud, send notification messages via the Line application, and store usage data in a database presented in a dashboard format. System testing revealed that the optimal detection distance ranges from 65 to 75 centimeters, as this range yields an error rate of no more than 1 percent. The system accurately responds to eye movements for communication through sound within 3 seconds when interacting with various function buttons. This eye-tracking system effectively enables paralyzed immobile patients to communicate their emotions and needs, facilitating better understanding and interaction between patients and their caregivers or family members.

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