This study aimed to develop a formula and production process for snacks made from germinated brown rice flour and banana flour using the extrusion process. The results indicated that both germinated brown rice flour and banana flour could be effectively used as the main raw materials for snack production via extrusion. The proportion of flour in the formula and production conditions, such as moisture content of the raw materials, barrel temperature, and screw speed, significantly influenced the nutritional value, bioactive compound levels, and antioxidant activity of the final products.
ขนมขบเคี้ยวส่วนใหญ่ทำจากแป้งและไขมัน ทำให้มีแคลอรี่สูง ในขณะที่ปริมาณโปรตีน แร่ธาตุ และสารออกฤทธิ์ทางชีวภาพค่อนข้างต่ำ การบริโภคขนมขบเคี้ยวอย่างต่อเนื่องและมากเกินไปอาจส่งผลกระทบต่อสุขภาพ ดังนั้น การพัฒนาผลิตภัณฑ์ขนมขบเคี้ยวให้มีคุณค่าทางโภชนาการสูงขึ้นจึงเป็นเรื่องสำคัญ โดยสามารถทำได้ผ่านการปรับสูตรส่วนผสมโดยใช้วัตถุดิบที่มีคุณค่าทางโภชนาการสูง และการพัฒนากระบวนการผลิตที่ไม่ต้องทอด เช่น การใช้กระบวนการเอกซ์ทรูชัน การศึกษาในครั้งนี้จึงมุ่งพัฒนาผลิตภัณฑ์ขนมขบเคี้ยวจากแป้งข้าวกล้องงอกและแป้งกล้วยน้ำว้า ซึ่งมีคุณค่าทางโภชนาการและสารออกฤทธิ์ทางชีวภาพโดดเด่น พร้อมทั้งศึกษาสภาวะที่เหมาะสมของกระบวนการเอกซ์ทรูชันเพื่อให้ผลิตภัณฑ์มีคุณภาพและเป็นประโยชน์ต่อสุขภาพ ตรงตามความต้องการของผู้บริโภคในปัจจุบัน
คณะวิทยาศาสตร์
Recruitment is a crucial process that enables organizations to select candidates whose qualifications match the requirements of a given position. However, this process often faces challenges related to data management, delays, and human bias. This research aims to design and develop an intelligent web application for employee recruitment using artificial intelligence (AI) technology to evaluate and score candidates' suitability for job positions. The system leverages data analysis techniques on resumes and a qualification-matching process based on predefined criteria. Developed using Agile principles, the system employs Natural Language Processing (NLP) to analyze resumes, assess candidates’ qualifications, skills, and experience, and utilizes Machine Learning to predict and rank suitability. The system consolidates data from multiple sources into a unified database to reduce redundancy and input errors. Additionally, it presents insights through a dashboard, enabling HR teams to make more effective hiring decisions.
คณะบริหารธุรกิจ
In the digital era, Artificial Intelligence (AI) plays a crucial role in developing smart cities and enhancing business operations. Among AI-driven technologies, AI Vision Analytics has gained significant attention for Access Control Systems (ACS) and Consumer Behavior Analytics. This research focuses on integrating AI Access Control and AI Video Analytics to examine factors influencing Technology Adoption Behavior using the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) framework. Key factors assessed include Trust in Technology, Effort Expectancy, Social Influence, and Performance Expectancy, which impact users’ willingness to adopt AI-driven security and analytics solutions. The study also includes a real-world implementation of AI Vision Analytics at KMITL EXPO, where an AI-powered Access Control System and AI Video Analytics are deployed. The collected data is analyzed to identify trends in AI adoption for business management and security enhancement. The findings provide valuable insights for businesses and organizations to optimize AI Vision Analytics for enhancing security management and digital marketing strategies.
คณะวิศวกรรมศาสตร์
Nowadays, rail transportation has a significant impact on people's lives and economic growth. Consequently, the number of rail systems being built around our country has dramatically increased. This process causes various types of pollution, such as noise and rail-way vibration, which can badly affect the life of citizens who live nearby. The most popular way to solve this problem recently is to decrease the noise from the sound source or to adjust the vibration by attaching a Track Damper to the railway. This technique is being used in many countries especially in Europe and Australia because it is cheap and has high efficiency. The key piece called Track Dampers are made by AUT company’s Thailand for a period of time. The company produces Track Dampers for the owner of the technology so as to sell more than 300,000 pieces of it overseas. Furthermore, the demand of Track Dampers grows as the railway systems expand. Unfortunately, the imported synthetic materials, which are used to create Track Dampers, are made from environmentally unfriendly sources. As a result, this research aims to develop the product to be environmentally-safe by replacing some imported materials with Thai’s local content; which are natural rubber and rubber crumbs. Furthermore, the product will be added value by mounting with embedded sensors for real-time monitoring of track vibration, noise, and rail temperature. All embedded devices developed will sense, collect, and automatically send to cloud by wireless technology platform. The AI and IOT platform will also be developed for safety, security, and maintenance proposed of railway track system. However, in conducting research, there will be close collaboration with AUT company through design, production, and testing. The outcome of this research is to upgrade AUT company from tier 2 manufacturer (TRL 8-9) to tier 1 manufacturer (TRL 7-8) which will be served the Thailand competitiveness enhancing strategic goal.