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Particle Filtering with Adaptive Diversifying Scheme for Abruptly Changing Hidden States Estimation 6

Particle Filtering with Adaptive Diversifying Scheme for Abr...

引用

6th International Conference on Information Technology, InCIT 2022

作者： Kuptametee, Chanin Aunsri, Nattapol Mae Fah Luang University School of Information Technology Chiang Rai Thailand Computer and Communication Engineering for Capacity Building Research Center Chiang Rai Thailand

ISBN: (纸本)9781665489126

Particle filtering (PF) is a powerful sequential Monte Carlo (SMC) method used to estimate hidden states of parameters of interest from noisy measurements obtained from dynamic systems. The particles are randomly drawn samples of all possible hidden states according to previous knowledge or prior information, if any. Degeneracy occurs when only a few particles locate in high-probability regions (or have significant weights), while the others locate in low-probability regions. Resampling is a simple and straight forward way to tackle degeneracy but introduces another problem called particle impoverishment that destroys particle diversity. Conseqeuntly, the particles are not able to find the high-likelihood state values in the next step, that may suddenly vary from the current values. This paper proposes a scheme to ensure that the particles remain adequately diverse to cover high-likelihood values during the prediction stage. When noisy measurement becomes available, particles are herded to form a better approximation of the posterior probability density function (PDF) of the hidden state that can then be estimated or inferred with high accuracy. © 2022 IEEE.

关键词： Probability density function

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Machine Learning Based Pose Identification System with Force-Sensitive Resistors for Four-Step Balance Testing 10

Machine Learning Based Pose Identification System with Force...

引用

10th International Conference on Digital Arts, Media and Technology and 8th ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering, ECTI DAMT and NCON 2025

作者： Sanongyat, Thanapat Kamyod, Chayapol Temdee, Punnarumol Mae Fah Luang University Computer and Communication Engineering for Capacity Building Research Center School of Applied Digital Technology Chiang Rai Thailand

ISBN: (纸本)9798331543273

This study proposes a system to identify poses based on the 4-stage balance test for fall risk assessment using custom-developed, pressure-sensitive footwear equipped with force-sensitive resistors (FSRs) and machine learning (ML) models. The system captures and analyzes pressure distribution data during balance tests to predict types of poses. Data was collected from 30 healthy participants aged 18-25 years performing standard balance tests. Preprocessing steps included data cleaning, normalization, and feature extraction. Three ML models - Long Short-Term Memory (LSTM), Random Forest (RF), and Gradient Boosting (GB) - were evaluated. The LSTM model achieved the highest performance in terms of accuracy, precision, recall, and F1-scores, demonstrating its capability in handling sequential data. The system shows promise as a cost-effective tool for pose identification to aid fall risk assessment, though further research is needed to expand the dataset diversity and refine the algorithms. This study provides a foundation for developing scalable tools to assess and mitigate fall risks, particularly among vulnerable populations. © 2025 IEEE.

关键词： Risk assessment

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Machine Learning Based Pose Identification System with Force-Sensitive Resistors for Four-Step Balance Testing

Machine Learning Based Pose Identification System with Force...

引用

International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering (ECTI-NCON)

作者： Thanapat Sanongyat Chayapol Kamyod Punnarumol Temdee Computer and Communication Engineering for Capacity Building Research Center School of Applied Digital Technology Mae Fah Luang University Chiang Rai Thailand

ISBN: (数字)9798331543273

ISBN: (纸本)9798331543280

This study proposes a system to identify poses based on the 4-stage balance test for fall risk assessment using custom-developed, pressure-sensitive footwear equipped with force-sensitive resistors (FSRs) and machine learning (ML) models. The system captures and analyzes pressure distribution data during balance tests to predict types of poses. Data was collected from 30 healthy participants aged 18-25 years performing standard balance tests. Preprocessing steps included data cleaning, normalization, and feature extraction. Three ML models—Long Short-Term Memory (LSTM), Random Forest (RF), and Gradient Boosting (GB)—were evaluated. The LSTM model achieved the highest performance in terms of accuracy, precision, recall, and F1-scores, demonstrating its capability in handling sequential data. The system shows promise as a cost-effective tool for pose identification to aid fall risk assessment, though further research is needed to expand the dataset diversity and refine the algorithms. This study provides a foundation for developing scalable tools to assess and mitigate fall risks, particularly among vulnerable populations.

关键词： Resistors Accuracy Footwear Predictive models Risk management Long short term memory Wearable sensors Standards Random forests Testing

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Development of Low Cost 3 Phases IoT Electrical Power Meter 6

Development of Low Cost 3 Phases IoT Electrical Power Meter

引用

6th International Conference on Information Technology, InCIT 2022

作者： Yodjaiphet, Anusorn Ayutaya, Ronnachai Sretawat Na Chansareewittaya, Suppakarn Faculty of Engineering Thailand Mae Fah Luang University School of Information Technology Thailand Mae Fah Luang University Computer and Communication Engineering for Capacity Building Research Center Thailand

ISBN: (纸本)9781665489126

In this paper, 3 phases of IoT electrical power meter is developed. The aim of this development is to create a 3 phases low-cost meter with IoT that can measure the true RMS value. The design of both hardware and software focuses on easy design, fewer components, uncomplicated processing, power component values, and using calculations according to numerical calculation method according to the basic theoretical principles. The dsPIC30F4011 16-bits microcontroller is used as the main microcontroller. The ESP8266 is used as the transmitting device. The information of the measurement is sent from dsPIC30F4011 to the Thinkspeak platform due to the serverless concept. After that, the information is displayed on the website via the dashboard. By comparing with the commercial product, this DIY is cheaper and has more flexible that the user can adjust the function and dash board as wish. © 2022 IEEE.

关键词： Microcontrollers

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Developing a RAG Agent for Personalized Fitness and Dietary Guidance 10

Developing a RAG Agent for Personalized Fitness and Dietary ...

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作者： Pyae, Min Swan Sithu Phyo, Sai Maung Maung Kyaw, Saw Thomas Swe Lin, Thet Chondamrongkul, Nacha Mae Fah Lunag University Computer and Communication Engineering for Capacity Building Research Center School of Applied Digital Technology Chiang Rai Thailand

ISBN: (纸本)9798331543273

This paper focuses on implementing and evaluating a Retrieval-Augmented Generation (RAG) system that provides personalized fitness and dietary guidance by combining real-time data from wearable devices with curated knowledge sources. While the current implementation depends on a carefully selected set of PDF files as a source of knowledge base, extracting relevant information in order to frame the answer to a question by the user, the planned integration of a curated, well-structured database aims to enhance the system's reliability and scope. The paper presents an overview of RAG-based system-related literature, describes the process of implementing the RAG component, and discusses the effectiveness in generating relevant and accurate answers. This implementation demonstrates the capability of RAG technology to develop interactive and effective solutions for dietary and fitness applications and sets a foundation for further system improvements. © 2025 IEEE.

关键词： Nutrition

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Developing a RAG Agent for Personalized Fitness and Dietary Guidance

Developing a RAG Agent for Personalized Fitness and Dietary ...

引用

International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering (ECTI-NCON)

作者： Min Swan Pyae Sai Sithu Phyo Saw Thomas Maung Maung Kyaw Thet Swe Lin Nacha Chondamrongkul Computer and Communication Engineering for Capacity Building Research Center School of Applied Digital Technology Mae Fah Lunag University Chiang Rai Thailand

ISBN: (数字)9798331543273

ISBN: (纸本)9798331543280

This paper focuses on implementing and evaluating a Retrieval-Augmented Generation (RAG) system that provides personalized fitness and dietary guidance by combining real-time data from wearable devices with curated knowledge sources. While the current implementation depends on a carefully selected set of PDF files as a source of knowledge base, extracting relevant information in order to frame the answer to a question by the user, the planned integration of a curated, well-structured database aims to enhance the system’s reliability and scope. The paper presents an overview of RAG-based system-related literature, describes the process of implementing the RAG component, and discusses the effectiveness in generating relevant and accurate answers. This implementation demonstrates the capability of RAG technology to develop interactive and effective solutions for dietary and fitness applications and sets a foundation for further system improvements.

关键词： Technological innovation Accuracy Databases Retrieval augmented generation Transforms Text to speech Reliability Time factors Wearable devices Usability

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Assessing Self-Efficacy Method for Enhancing Computational Thinking in Educational Game Environment

Assessing Self-Efficacy Method for Enhancing Computational T...

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Technology Innovation Management and engineering Science International Conference (TIMES-iCON)

作者： Ratchanon Nobnop Nacha Chondamrongkul Punnarumol Temdee Computer and Communication Engineering for Capacity Building Research Center School of Information Technology Mae Fah Luang University Chiang Rai Thailand

ISBN: (数字)9798350362602

ISBN: (纸本)9798350362619

Self-efficacy is critical for improving computational thinking in gaming. However, conventional assessment methods like questionnaires can produce disengaged responses or require additional work to understand the questions and have limitations in the assessment of dynamic self-efficacy. To address this challenge, this study proposes a method using in-game features to assess self-efficacy, which can change over the playtime. The employed in-game feature is the Planning Stage, in which learners strategize and prepare their approach before engaging with challenges. We collect data on the time spent in this stage, which is newly proposed in this study. The experiment was conducted with twenty-five students in the Multimedia Technology and Animation Major playing Tenacity-P to accomplish tasks from a computer programming course. To validate the method, we compared self-efficacy results from the game-based approach with those from conventional questionnaires. The findings highlight the need for strategic planning in managing difficult tasks. As challenges increased, performance measures varied more, underscoring the importance of strong problem-solving skills. Efficient strategic planning directly improved self-efficacy, as participants with better planning skills maintained higher self-efficacy despite increasing task difficulty.

关键词： Games Strategic planning Innovation management Animation Particle measurements Real-time systems Problem-solving

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CIA Analysis for LoraWAN communication Model 6

CIA Analysis for LoraWAN Communication Model

引用

Joint 6th International Conference on Digital Arts, Media and Technology with 4th ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunication engineering, ECTI DAMT and NCON 2021

作者： Kamyod, Chayapol Computer and Communication Engineering for Capacity Building Research Unit School of Information Technology Chiang Rai Thailand

ISBN: (纸本)9781665415699

IoT technologies have helped to advance numerous industries and innovations. Agriculture is one of the key industries in Thailand that is crucial for the country's economic growth therefore, many IoT devices and applications for agricultural industries have been created. LoraWan is one of the IoT communication protocols that was applied to various smart farm applications. As a result, IoT deployments can create complex and vulnerable systems. This paper analyzes the security factors of the LoRaWan system based on the Cybersecurity Cube, which is a three-pronged framework for computer security and information protection the study offers important security details for agricultural IoT communications. © 2021 IEEE.

关键词： Economics

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Elderly Motion Tracking System with AI-Enabled Edge Computing

Elderly Motion Tracking System with AI-Enabled Edge Computin...

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International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering (ECTI-NCON)

作者： Nichaphat Srinongwaeng Kunyarat Seksantisakul Jasmine Agness Thompson Josef Mathieu Pattarapon Ranc Nacha Chondamrongkul Computer and Communication Engineering for Capacity Building Research Center School of Information Technology Mae Fah Luang University Chiang Rai Thailand

In the dynamic landscape of technology, the intersection of edge computing with health care holds immense promise, especially in addressing the needs of vulnerable populations such as the elderly. This research focuses on developing a motion detection system using advanced technologies like artificial intelligence and edge computing to integrate with real-time database systems. This system is developed not only to monitor activities but also to analyze activity patterns in the elderly. These patterns have the potential to identify diseases early, preventing unforeseen consequences. Our evaluation analyzes the accuracy of detecting standing and sleeping positions. It demonstrates high precision in identifying standing postures but reveals challenges in recognizing sleeping postures, mainly due to tracking and detection issues in the YOLOv8 model.

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A Design and Implementation of Multi-Routers and Firewall in a Multi-homed environment

A Design and Implementation of Multi-Routers and Firewall in...

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International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Mahamah Sebakor Computer and Communication Engineering for Capacity Building Research Center School of Information Technology Mae Fah Luang University

The need for ultimate security in the enterprise network is significantly crucial in today’s network. Likewise, redundancy, availability, and reliability are the primary main key to an internet connection. Mostly, network administrators use multiple routers and firewalls in their networks. In essence, asymmetric traffic imposes a serious issue with those designs and in some occasions the network traffic might be disturbed. In order to address the asymmetric connection to the firewall, this work proposes by use of another segment network for multi-routers and a firewall called a fusion network. In addition, this paper takes advantage of the existing enhanced technology such as MP-BGP MPLS VPN. Moreover, applying to the real world is also considered. Finally, the comparison with other network designs and the performance of our design are discussed.

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