Coffee is a critical agricultural commodity to be used to produce a premium beverage to serve people worldwide. Coffee microbiome turned to be an essential tool to improve the bean quality through the natural fermentation. Therefore, understanding the microbial diversities could create the final product's better quality. This study investigated the natural microbial consortium during the wet process fermentation of coffee onsite in Thailand to characterize the microorganisms involved in correlation toward the biochemical characteristics and metabolic attributes. Roasting is another important step in developing the complex flavor/ aroma that make coffee to be enjoyable. During the roasting process, the beans undergo many complex and alternatively change in the physicochemical properties from the gained substances in the fermentation process. The changing in the formation of the substances responsible for the sensory qualities, physicochemical/ aroma attributes as well as the health benefits of the final product. Using the starter culture could also develop the distinguished characteristics of coffee (Research collaboration with Van Hart company)
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คณะวิทยาศาสตร์
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.
คณะวิศวกรรมศาสตร์
This cooperative education report presents a project for developing a Distributed Control System (DCS) for boilers in a sugar factory. The objective is to enhance the control system for boilers 1-8 to operate cohesively within the DCS framework provided by ABB, utilizing the ABB Ability™ System 800xA software. The overall functionality of the system involves creating a control program that begins with the utilization of bagasse, a byproduct from the sugar extraction process, as fuel for the boiler. The program manages various operations of the boiler, including the intake of air into the combustion chamber, the internal functioning of the boiler, and the treatment of flue gases before their release into the atmosphere. The project encompasses the development of the DCS program, the design and creation of HMI display graphics, the study and design of the boiler control system, the documentation of the project, and the control processes utilizing the ABB Ability™ System 800xA software, culminating in the operational outcomes.
คณะวิทยาศาสตร์
With the arrival of multimedia innovations such as games, access to media has changed, creating novelty in media consumption. Oversteer is a project that takes advantage of gaming media to allow users to experience driving similar to driving on a racetrack.