Designing advanced printed circuit boards for industrial applications involves a variety of steps and methods depending on each company. From what I have learned, I have used Cadence Allegro to design printed circuit boards. This internship was designed on a variety of boards with varying levels of difficulty. Learning in this internship could not be learned in detail within the university. I had to work with many departments within Analog Devices (Thailand) Company. This design was assisted by a mentor who took care of and taught me the work, allowing me to complete the co-operative successfully.
โครงงานนี้ออกแบบมาเพื่อศึกษา หาประสบการณ์ในการทำงานและการใช้ชีวิตวัยทำงาน โดยเป็นการทำโครงการสหกิจศึกษาเพื่อเรียนรู้ถึงกระบวนการทำงานของแผนก Global Hardware Development ของ บริษัท Analog Devices (Thailand) และได้ทดลองปฏิบัติงานจริงในโรงงานอุตสาหกรรม กระบวนการทุกอย่างตั้งแต่เริ่มแรกจนกระทั่งออกมาเป็นผลิตภัณฑ์สำหรับการทดสอบ IC ใน Final Test และ ทดสอบ wafer ใน Wafer Sort โดยฝ่ายที่เข้าไปทำสหกิจในบริษัทคือ PCB Layout Design และได้ออกแบบผ่านโปรแกรม Cadence Allegro
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
From the current situation and uncertainty; leads to the concept of food security. It is the application of innovation and technology to create high productivity in a limited area. The unused buildings in urban areas were renovated for planting, created as a learning area for planting in urban area. The different methods of growing plants were presented. There are 35 planting innovations for disseminating knowledge, to create food security, self-reliant, supports sustainable living.
คณะเทคโนโลยีสารสนเทศ
Facial Expression Recognition (FER) has attracted considerable attention in fields such as healthcare, customer service, and behavior analysis. However, challenges remain in developing a robust system capable of adapting to various environments and dynamic situations. In this study, the researchers introduced an Ensemble Learning approach to merge outputs from multiple models trained in specific conditions, allowing the system to retain old information while efficiently learning new data. This technique is advantageous in terms of training time and resource usage, as it reduces the need to retrain a new model entirely when faced with new conditions. Instead, new specialized models can be added to the Ensemble system with minimal resource requirements. The study explores two main approaches to Ensemble Learning: averaging outputs from dedicated models trained under specific scenarios and using Mixture of Experts (MoE), a technique that combines multiple models each specialized in different situations. Experimental results showed that Mixture of Experts (MoE) performs more effectively than the Averaging Ensemble method for emotion classification in all scenarios. The MoE system achieved an average accuracy of 84.41% on the CK+ dataset, 54.20% on Oulu-CASIA, and 61.66% on RAVDESS, surpassing the 71.64%, 44.99%, and 57.60% achieved by Averaging Ensemble in these datasets, respectively. These results demonstrate MoE’s ability to accurately select the model specialized for each specific scenario, enhancing the system’s capacity to handle more complex environments.
คณะบริหารธุรกิจ
This book introduces basic management concepts that are applicable to technological innovation development. It encompasses various tech settings like Agro & Health tech, in addition to the more commonly referred digital sector.