https://ph02.tci-thaijo.org/index.php/past <p><strong><em>Progress in Applied Science and Technology (PAST)</em></strong>, abbreviation name: <em>Prog Appl Sci Tech</em>; formerly known as<strong> “Science and Technology RMUTT Journal”</strong> (2011- Vo.10 No.1 January-June 2020), is to disseminate knowledge and research in science and technology and to promote research to benefit society.</p> <p><strong>ISSN (Print):</strong> 2730-3012 </p> <p><strong>ISSN (Online): </strong>2730-3020</p> <p><strong>Start year:</strong> 2011</p> <p><strong>Language:</strong> English (since Vol.10 No.2, 2020)</p> <p><strong>Publication fee:</strong> Free of charge</p> <p><strong>Issues per year:</strong> 3 Issues</p> <ul> <li class="show">1^st issue: January-April</li> <li class="show">2^nd issue: May-August</li> <li class="show">3^rd issue: September-December</li> </ul> <p><strong>Index in:</strong> Thai Citation Index Center (TCI) Tier 1</p> en-US [email protected] (Arranee Chotiko) [email protected] (podjarin phasuk) Sun, 01 Jan 2023 00:00:00 +0700 OJS 3.3.0.8 http://blogs.law.harvard.edu/tech/rss 60 https://ph02.tci-thaijo.org/index.php/past/article/view/251318 <p>This research explores the practical application of Internet of Things (IoT) technology using mobile robots to collect and store data from their surroundings, including personal information from wearables on cloud systems. It then employs process mining techniques to analyze these raw data. There are three main processes. These processes are 1) Understanding the fundamental concepts of IoT, developing mobile robots, and learning about process mining principles. 2) Creating a system for storing data or event logs generated by IoT devices and mobile robots. 3) Analyzing the collected data using process mining techniques. Through this method, we can learn in-depth about the activities of an individual user. Therefore, the proposed method is an extension of the IoT system for increasing the performance of decision support systems and automated decision systems in real-world applications. Furthermore, the research showcases how services, particularly robots, can be accessed through the Fuzzy Miner model. These methods have practical applications in real-world scenarios, such as human-robot collaboration, inventory management, service tracking, supply chain management, retail, logistics, healthcare, transportation, agriculture, and manufacturing.</p> Wichian Premchaiswadi, Poohridate Arpasat, Prajin Palangsantikul, Sarayut Intarasema, Kwanchai Kungcharoen, Wipavan Narksarp Copyright (c) 2024 Progress in Applied Science and Technology https://creativecommons.org/licenses/by-nc-nd/4.0 https://ph02.tci-thaijo.org/index.php/past/article/view/251318 Wed, 07 Feb 2024 00:00:00 +0700