E-Thesis & Research สถาบันเทคโนโลยีไทย-ญี่ปุ่น

fieldjournalid E-Thesis & Research สถาบันเทคโนโลยีไทย-ญี่ปุ่น

Thesis (MIT) 2025

1.	THE GUIDELINE FOR RAPID SOFTWARE GAME DEVELOPMENT ON UNITY WEB-BASED ECOSYSTEM [แสดงบทคัดย่อ] [ซ่อนบทคัดย่อ]
	ผู้แต่ง : VATIT SIMAKUPT
	The rapid growth of content-driven games has created a pressing need for workflows that allow fast flexible and collaborative content development. Traditional approaches, which rely on Unity Editor and server-client architectures often introduce bottlenecks: artists and designers must wait for programmers to implement changes testing is limited to centralized environments, and granting access to source code poses security risks. These limitations hinder rapid iteration and reduce the efficiency of multi-disciplinary teams. This study proposes a web-based content editing workflow for Unity games that leverages runtime content injection, sandboxed testing environments and collaborative web interfaces. The system enables immediate testing and iteration of art assets narrative sequences and level designs without direct access to the game engine or source code. By integrating JavaScript with Unity Web Target, the workflow allows real time content adjustments while preserving security and asset integrity. The proposed system was evaluated through quantitative measures, comparing it to traditional CMS-based workflows in terms of ease of use collaboration efficiency and task completion time. Results demonstrate a significant improvement in workflow efficiency reducing both personnel requirements and iteration times. Weighted improvement ratios across different game genres including casual stratege rhythm and MMO showed consistent enhancement in collaborative productivity. Full Text : Download!

2.	THAI SIGN LANGUAGE RECOGNITION FOR EMERGENCY REQUESTS USING DEEP LEARNING [แสดงบทคัดย่อ] [ซ่อนบทคัดย่อ]
	ผู้แต่ง : Nut Samaksaman
	Sign Language (SL) Sign Language (SL) is essential for communication within the Deaf and hard-of-hearing community. Thai Sign Language (TSL) possesses a unique structure, distinct from Chinese and American Sign Languages. It operates under its own grammatical rules, frequently utilizing simplified sentence structures for effective communication. Recent research in TSL recognitionhas explored various methodologies, including the interpretation of fingerspelling and the translation of sequential signs into text. This study aims to interpret continuous TSL into simple sentences to bridge the communication gap between Deaf and hearing individuals. Given the vast vocabulary of the Thai language and limited research time, this study introduces a TSL recognition system designed specifically for emergency scenarios, with data sampled from the most common emergency requests. Real-time sign language recognition (SLR) systems typically use computer vision to translate sequences of hand movements and body postures into text or speech instantaneously. The proposed system utilizes MediaPipe Holistic for hand tracking, integrated with Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), and Gated Recurrent Unit (GRU) architectures to facilitate robust sequence recognition. Developed using OpenCV, the system translates individual signs into text and displays them as simple sentences following Thai grammatical rules (verb + noun or noun + verb). Full Text : Download!

3.	A REAL-TIME THAI SIGN LANGUAGE RECOGNITION SYSTEM USING SKELETAL KEYPOINTS AND LSTM NETWORKS [แสดงบทคัดย่อ] [ซ่อนบทคัดย่อ]
	ผู้แต่ง : Yosvaris Pisansawanya
	I would like to express my deepest gratitude to my thesis advisor, Dr. Pramuk Boonsieng, for his invaluable guidance, constructive feedback, and continuous support throughout the development of this research. His academic insight, patience, and encouragement played a crucial role in shaping this thesis and guiding me through both the technical and research challenges. Without his supervision and direction, this work would not have been successfully completed. I would also like to sincerely thank my thesis committee members, Dr. Pikul Vejjanugraha, Dr. Napaphat Vichaidis, and Dr. Puwadol Sirikongtham, for their time, valuable suggestions, and thoughtful comments. Their expertise and constructive criticism helped improve the quality, clarity, and academic rigor of this research. I am truly grateful for their support and guidance throughout the evaluation process. My heartfelt appreciation goes to my family for their unconditional love, understanding, and encouragement. Their constant support and belief in me provided the motivation and strength needed to overcome challenges during my studies and research journey. Full Text : Download!

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