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检索条件"机构=Master Program of Information Technology and Applications"

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Fall Detection with Smart Devices for the Elderly Using Machine Learning 14th

Fall Detection with Smart Devices for the Elderly Using Mach...

引用

14th International Conference on Frontier Computing, FC 2024

作者： Yang, Hsuan-Che Chang, Wen-Chih Huang, Wei-Han Hsu, Chia-Hao Lin, Yen-Chen Li, Jie-Syuan Lee, Yun-Cheng Luo, Zeng-Sheng Department of Information Management Chihlee University of Technology New Taipei City220 Taiwan International Master Program of Information Technology and Applications National Ping-Tung University Ping-Tung Taiwan

ISBN: (纸本)9789819623945

The worldwide aging population has been on the rise due to the advancement of medical science and decreasing birth rates. Unfortunately, this has led to an increase in falls among the elderly, which has emerged as one of the top ten causes of death for elderly individuals in Taiwan. To address this issue, our study aims to leverage the widespread use of smartphones and smartwatches to detect and prevent falls in older adults. Our machine learning model is trained using the UMAFall dataset, which collects data on daily activities and falling actions through five sensing devices. We used Azure Machine Learning Studio to test six different machine learning algorithms to evaluate suitable algorithms. In the end, the Two-Class Decision Tree algorithm achieved the best results. In our next step, this method will be programmed with the TensorFlow Lite and train the model. This model will be integrated into Android-based apps that can be installed on smartphones. By continuously connecting the smartwatch and smartphone Apps, the accelerometer, gyroscope, and magnetometer in both devices can be compared and analyzed in real time using the TensorFlow Lite model, accurately determining the wearer's actions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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Using Machine Learning to Predict the Language Proficiency of Thai Students Studying in Taiwan 10

Using Machine Learning to Predict the Language Proficiency o...

引用

10th International Conference on Applied System Innovation, ICASI 2024

作者： Moocharoen, Charoenwat Chang, Wen-Chih National Pingtung University International Master Program in Information Technology and Applications Taiwan

ISBN: (纸本)9798350394924

Currently, there are students from Thailand who wish to study abroad. The researchers have chosen Taiwan as the focus. Among the students who come for further studies, there are those proficient in the English language and those who are not. Factors such as language readiness, financial preparedness, scholarship availability, and the university's reputation are crucial in the decision-making process for choosing an educational institution. Simultaneously, some students had the opportunity to study in Taiwan but, due to language unpreparedness, had to withdraw from their studies and return to their home country. The researchers emphasize the importance of language readiness among students. Data has been collected from 316 data including undergraduate, master's, doctoral, and language students of Thai students throughout Taiwan, and a model has been developed to predict the English language proficiency of Thai students. The goal is to create a model with the highest level of accuracy to produce reliable results. This model can be utilized by educational institutions to tailor their courses to match the language abilities of Thai students, thereby enhancing the overall learning experience. © 2024 IEEE.

关键词： Forecasting

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Enabling Smart Home Energy Management through Gesture-Based Control and IoT technology

Enabling Smart Home Energy Management through Gesture-Based ...

引用

2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Rambe, Khairul Hawani Ou, Chia-Ho International Master Program in Information Technology and Applications Sweden National Pingtung University Department of Computer Science and Information Engineering Taiwan

ISBN: (纸本)9798350324174

The Internet of Things (IoTs) have become ubiquitous in all aspects of public needs today. The application of IoT technology is crucial for promoting energy-saving behavior. This paper presents a control system used for smart home devices based on hand gesture control and Android applications. The hardware design uses the ESP32 microcontroller, which has an in-chip Wi-Fi module, making it very suitable for creating IoT application systems. The software was designed using the Arduino IDE, and the application display design was developed using Kodular Creator, which is used to control the lamps and switches. The experiment results show that the electrical equipment can be activated using the Android application with gesture sensors by waving down, up, left, and right. © 2023 IEEE.

关键词： Internet of things

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The Efficient Traffic Sign Detection and Recognition for Taiwan Road Using YOLO Model with Hybrid Dataset 9

The Efficient Traffic Sign Detection and Recognition for Tai...

引用

9th International Conference on Applied System Innovation, ICASI 2023

作者： Suwattanapunkul, Taweelap Wang, Lung-Jen National Pingtung University International Master Program in Information Technology and Applications Taiwan National Pingtung University Department of Computer Science and Information Engineering Taiwan

ISBN: (纸本)9798350398380

According to the trend of worldwide car sales have grown up, this cause may increase accidents on the road due to human error. The self-driverless car has been developed to solve this problem. One task of the self-driverless car is traffic sign detection and recognition (TSDR), which will help drivers notify the traffic sign installed on the road in advance. Taiwan roads have specific traffic signs, and no Taiwan traffic sign public dataset is available. In this paper, our proposed object detection method was experimentally performed using YOLOv5s6 and YOLOv8s models on three different datasets, as Tsinghua-Tencent 100K (TT100k), the self-created Taiwan traffic sign (TWTS), and the hybrid dataset, which combine the traffic scenes between TT100k and TWTS dataset. The output results from each dataset and each model, which is trained on the same parameter, will be compared to validate the proposed method. The experiment results' comparison of the hybrid dataset between YOLOv5s6 and YOLOv8s models display the results of the mAP@.5 is about 65% and 76.2%, respectively, which means the performance of the YOLOv8s is higher than the YOLOv5s6 when using hybrid dataset. © 2023 IEEE.

关键词： Object detection

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Key Factors for Unsubscribing from YouTube Channels: A Study of YouTubers in Taiwan 1

引用

13th International Conference on Frontier Computing, FC 2023

作者： Yang, Hsuan-Che Chang, Wen-Chih Department of Information Management Chihlee University of Technology New Taipei City220 Taiwan International Master Program of Information Technology and Applications National Pingtung University Pingtung City Taiwan

ISBN: (数字)9789819993420

ISBN: (纸本)9789819993413

YouTube has become a major advertisement media for industries. People watch TV shows, movie trailers, news and episodes, on-line shows streaming as well. When people want to purchase something, they can find some unboxing reviews, experiences shares, using instructions and services introductions on YouTube before making orders. Traveling guides and educational tutorials are also can be found on YouTube. Thousands of YouTube channels need channel’s subscribers directly or indirectly affect the revenue of channel owners. In addition to YouTube’s own profit from watching, the subscribers are also an important reference when manufacturers want to choose key opinion leaders (KOL) or internet celebrities to promote their products or services. Since, maintaining a stable growth of channel subscribers and reducing the occurrence of unsubscribing are the key issue that every YouTuber needs to understand urgently. In this study, we used a survey to understand subscribers and YouTubers on unsubscribing, and analyzed some key factors for unsubscribing. The data analyses include descriptive analysis, factor analysis, reliability analysis, t-test, one-way ANOVA, and Pearson’s correlation analysis. Through this study, people can understand key factors for unsubscribing reasons on YouTube platform and the priority of these factors. Whether there is special unsubscribe factors for different channel types and attributes. The key contribution of this study is: a questionnaire on key factors for unsubscribing on the YouTube platform was designed, and it could be utilized for further use in related studies in the future. We also summarize the responses and suggestions of we-media channel owners on the factors for unsubscribing. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Reliability analysis

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AI Prescription Recognition System 9

AI Prescription Recognition System

引用

9th International Conference on Orange technology, ICOT 2021

作者： Ou, Yang-Yen Wang, Hung-Min Lee, Tsung-Yen Tsai, An-Chao Wang, Jhing-Fa National Cheng Kung University Department of Electrical Engineering Tainan Taiwan National Pingtung University International Master Program in Information Technology and Applications Pingtung Taiwan

ISBN: (纸本)9781665478427

In order to improve the work efficiency of pharmacists, this work proposes a prescription recognition system. The prescription recognition system mainly consists of three parts, namely pre-processing, information extraction and post-processing. The pre-processing includes contrast enhancement of the input image, optical character recognition, and the merging and sorting of the characters after optical character recognition. In the information extraction part, we hybrid two different strategies, the rule-based method, and the deep learning-based method. Finally, post-processing corrects some common optical character recognition errors and performs format conversion on specific fields. On the user interface, we build a web application server with Django, which provides pharmacists to upload, edit, and manage prescriptions. In the deep-learning-based information extraction, the average F1-score reached 93.8%. In the experiment of the overall recognition system, we test 202 different prescriptions, and compare the three different information extraction strategies, which are rules-based method, deep-learning-based method, and hybrid method respectively. The hybrid method is improved in most fields, and the accuracy of all the fields in our system is greater than 93%. Finally, the system gets 4.38 point on the average opinion score. © 2021 IEEE.

关键词： Optical character recognition

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Design and Performance Evaluation of a P4 based Load Balancer 8

Design and Performance Evaluation of a P4 based Load Balance...

引用

8th International Conference on Innovation, Communication and Engineering, ICICE 2019

作者： Hsu, Shih-Jung Ke, Chih-Heng Chen, Yeong-Sheng Hung, Cheng-Feng Lo, Yu-Wen Master Degree Program of Computational Intelligence and Applications National Quemoy University Taiwan National Taipei University of Education Department of Computer Science Taiwan Master of Information Technology and Application National Quemoy University Taiwan National Quemoy University Department of Computer Science and Information Engineering Taiwan

ISBN: (纸本)9781728158396

Being increasingly dense and mature in layout, Internet has become an infrastructure for a state. The traditional single server can no longer bear the network traffic in rapid growth. For example, once the booking service for concert tickets is made available to the public, we are always prompted when clicking into the booking system that the server is busy. And when the system is finally restored normal, the tickets have been sold out. The load issue puzzling the ticket system also occurs in the transportation section every time when a long holiday is coming. Even though the system is updated on a yearly basis, net- work congestion still happens frequently. Therefore, there is still great space for the development of the ways and mechanisms of load balance in traditional multi-servers. Evaluation of the mech- anism and efficacy of load balance through P4Switch is proposed in this paper in the hope to achieve more efficient server load balance. © 2019 IEEE.

关键词： loadbalance openflow p4switch sdn

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Real Time Classification System of Black Soldier Fly Larva

Real Time Classification System of Black Soldier Fly Larva

引用

IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)

作者： Chayanon Pookunngern An-Chao Tsai International Master Program in Information Technology and Applications National Pingtung University Taiwan

ISBN: (数字)9798350361704

ISBN: (纸本)9798350361711

Food waste presents a significant issue, contributing extensively to greenhouse gas emissions and climate change. When food waste decomposes in landfills, it generates methane, a greenhouse gas that is significantly derogation effective to the atmosphere than carbon dioxide. Additionally, the production, transportation, and disposal of food waste significantly contribute to global greenhouse gas emissions. This study explores an innovative approach to mitigate the environmental impact of food waste by using food scraps to create compost for animal feed, specifically utilizing the Black Soldier Fly Larva (BSFL). Accurate control of food quantity for various larval stages is essential, necessitating precise stage classification. This process is complex due to the larvae's similar and small color variations. In this paper, we introduce a mobile application designed to classify and detect the growth stages of BSFL, ranging from stage 1 to stage 4, which are high in protein and beneficial for animal feed, to stages 5 and 6, which are ideal for preparing pupae that can be used in skincare products. Our approach employs the YOLOv8 model for larval stage classification and detection, achieving an impressive mAP50-95 of 0.812, surpassing the performance of YOLOv7 (mAP50-95 of 0.781) and YOLOv5 (mAP50-95 of 0.789).

关键词： Food waste YOLO Waste management Wireless communication Accuracy Animals Transportation

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Using Machine Learning to Predict the Language Proficiency of Thai Students Studying in Taiwan

Using Machine Learning to Predict the Language Proficiency o...

引用

International Conference on Applied System Innovation (ICASI)

作者： Charoenwat Moocharoen Wen-Chih Chang International Master Program in Information Technology and Applications National Pingtung University Taiwan

ISBN: (数字)9798350394924

ISBN: (纸本)9798350394931

关键词： Logistic regression Technological innovation Machine learning algorithms Scholarships Neural networks Forestry Medical services

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Enabling Smart Home Energy Management through Gesture-Based Control and IoT technology

Enabling Smart Home Energy Management through Gesture-Based ...

引用

IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Khairul Hawani Rambe Chia-Ho Ou International Master Program in Information Technology and Applications Department of Computer Science and Information Engineering National Pingtung University Taiwan

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