Soontaree Seangsri on Muck Rack

Soontaree Seangsri

As seen in: MDPI
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Articles

A Blended Extended Kalman Filter Approach for Enhanced AGV Localization in Centralized Camera-Based Control Systems

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By Nopparut Khaewnak, Soontaree Seangsri, Siripong Pawako, Sorada Khaengkarn
| preprints.org
This version is not peer-reviewed. Nopparut Khaewnak,Soontaree Seangsri,Siripong Pawako,Sorada Khaengkarn,Jiraphon Srisertpol  * Nopparut Khaewnak,Soontaree Seangsri,Siripong Pawako,Sorada Khaengkarn,Jiraphon Srisertpol  * Submitted: 20 October 2025 You are already at the latest version This research presents a study on enhancing the localization and orientation accuracy of indoor Autonomous Guided Vehicles (AGVs) operating under a centralized, camera-based control system.
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Classifying and Optimizing Spiral Seed Self-Servo Writer Parameters in Manufacturing Process Using Artificial Intelligence Techniques

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By Soontaree Seangsri, Jiraphon Srisertpol, Chaweng Sapapporn
| MDPI
2.9. Data Collection and Preparation In machine learning, data collection and preparation are crucial. This study collected over 200 features from 4 classes of signal writing machines. The raw data for 486 drives were obtained from the manufacturing log file. Class 0, representing the healthy condition, has 198 drives in its dataset. Class 1, representing a sensor fault machine, has 106 drives. Class 2, representing a pushpin-loose machine, has 78 drives.
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Optimizing Ultra-High Vacuum Control in Electron Storage Rings Using Fuzzy Control and Estimation of Pumping Speed by Neural Networks with Molflow+

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By Soontaree Seangsri, Thanasak Wanglomklang, Nopparut Khaewnak, Nattawat Yachum
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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