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检索条件"机构=Master of Science Program in Information Technology"

共 254 条记录，以下是21-30 订阅

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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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Position of Throat Microphone for Maintaining Speaker's Voice Quality 10

Position of Throat Microphone for Maintaining Speaker's Voic...

引用

10th IEEE Global Conference on Consumer Electronics, GCCE 2021

作者： Terada, Tomoya Shibuya, Yu Kyoto Institute of Technology Master's Program of Information Science Graduate School of Science of Technology Kyoto Japan Kyoto Institute of Technology Faculty of Information And Human Sciences Kyoto Japan

ISBN: (纸本)9781665436762

The purpose of this study is to develop a system that instructs the user to put the throat microphone on the suitable position. Therefore, we investigated the location of the throat microphone, where voice quality is less likely to be degraded than that produced by a condenser microphone. To investigate this, we checked whether there is a similar tendency between the subjective similarity of throat microphone voice and condenser microphone voice, and the objective similarity by formant frequency ratio obtained from the two voices. The results of the experiment showed that the higher the subjective similarity between the throat microphone voice and the condenser microphone voice, the closer the formant frequency ratio of the first and second formants were to 1. It was also confirmed that the ratio of the first formant approached 1 when the throat microphone was mounted on the upper side of the neck. © 2021 IEEE.

关键词： Natural frequencies

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Non-contact digital signage allowing users to change contents with their face orientation 9

Non-contact digital signage allowing users to change content...

引用

9th IEEE Global Conference on Consumer Electronics, GCCE 2020

作者： Kurono, Haruka Shibuya, Yu Kyoto Institute of Technology Master's Program of Information Science Graduate School of Science and Technology Kyoto Japan Kyoto Institute of Technology Faculty of Information and Human Sciences Kyoto Japan

ISBN: (纸本)9781728198026

In today's society, digital signage is widely used in various places such as commercial facilities and train stations. Most digital signages use a liquid crystal display or LED panel. One of the advantages of digital signage is the ability to dynamically change the content of the advertisement. However, the method of change is not due to the viewer's intention, but rather to elapsed time to show, and it is merely a sequential display of static advertisements. In this study, we propose and implement a non-contact interactive digital signage system using a web camera that allows users to change the content according to their face orientation. In the implementation, we use OpenCV for showing the content and image processing, and the machine learning library, named dlib, is used for detecting user's face and identifying its orientation. The proposed system changes the layout and enlarges the content in which the user is interested. The user does not need to wear any device and to do any special action. Furthermore, the proposed system offers an intuitive interaction manner to the user. In this paper, some experimental designs are also described. © 2020 IEEE.

关键词： Eye tracking

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An Influence of User's Avatar Display on Conversation in Web Conferencing 10

An Influence of User's Avatar Display on Conversation in Web...

引用

10th IEEE Global Conference on Consumer Electronics, GCCE 2021

作者： Taniuchi, Daiki Shibuya, Yu Kyoto Institute of Technology Master's Program of Information Science Graduate School of Science And Technology Kyoto Japan Kyoto Institute of Technology Faculty of Information And Human Sciences Kyoto Japan

ISBN: (纸本)9781665436762

Due to the COVID-19 epidemic, the use of web conferencing systems has become widespread but many people are not likely to send their own camera images. Muting the camera is usable to hide a participant but other participants can not aware the hided participant's non-verbal information. The purpose of this study is to investigate how the ease of conversation is affected when the participants are displayed as avatars instead of actual images in a web conferencing system. For the purpose, we investigated whether the fidelity of participant's image influence on the ease of conversation experimentally. We used four kinds of participant's image, they were default still image, avatar image, point image, and real image. Experimental result showed the possibility that the avatar facial image reduced the participant's embarrassment. Some participants felt that the system using avatar or point image improved the ease of conversation compared to the system using default non-moving image or real image. © 2021 IEEE.

关键词： COVID-19

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Player's stress reduction in competitive online game by presenting calm scent 9

Player's stress reduction in competitive online game by pres...

引用

9th IEEE Global Conference on Consumer Electronics, GCCE 2020

作者： Goto, Toshiki Shibuya, Yu Kyoto Institute of Technology Master's Program of Information Science Graduate School of Science and Technology Kyoto Japan Kyoto Institute of Technology Faculty of Information and Human Sciences Kyoto Japan

ISBN: (纸本)9781728198026

Playing competitive online games is usually fun but sometimes player feels unpleasant and is stressed regardless of games content. When a player is stressed, her/his motivation for games decrease. The purpose of this study is to make competitive online games more enjoyable by reducing player's stress. We propose a system that detects player's stress in a competitive online game by her/his RRI and automatically presents calm scent of lavender oil with an aroma diffuser and a fan when she/he is stressed. In the proposed system, each player wears an armband-type pulse sensor and plays a game with a controller while looking at the display. The system get the player's heart rate from armband-type pulse sensor in real time. Next, the system calculates the RRI from heart rate and determines that the player is stressed when her/his RRI is greater than the threshold. To evaluate the proposed system, we are going to experiment to check the functionality of the proposed system, investigate how long to play the game and under what conditions to detect participants' stress in the game and evaluate whether the proposed system can reduce participants stress in a real environment. © 2020 IEEE.

关键词： Computer games

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An effective quality assessment model for e-leaning websites in Thailand

An effective quality assessment model for e-leaning websites...

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3rd International Conference on Education and information Systems: Technologies and Applications, EISTA 2005

作者： Pruengkarn, Ratchakoon Praneetpolgrang, Prasong Srivihok, Anongnart Department of Computer Science Kasetsart University Bangkok Thailand Master of Science Program in Information Technology Sripatum University Bangkok Thailand

ISBN: (纸本)9806560345

The objective of this research is to evaluate the total quality of e-Leaming websites for university in Thailand by using quality criteria which based on IEEE 1061 and ISO/IEC 9126. In this research, we determine 6 quality aspects (include 2 new aspects) such as functionality, reliability, usability, efficiency, maintainability and portability. In the research process, we categorize subjects into 5 groups. The result has found that the average of quality on e-Leaning websites in Thailand is 50.34% and this can be exploited as beneficial information for e-Leaming webmaster to motivate and improve the quality of e-Leaming website according to the proposed quality model for optimizing the effective e-Learning.

关键词： Websites

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Finding the Best Techniques for Predicting Term Deposit Subscriptions (Case Study UCI Machine Learning Dataset) 4

Finding the Best Techniques for Predicting Term Deposit Subs...

引用

4th International Conference on Sustainable Engineering and Creative Computing, ICSEC 2022

作者： Setiyani, Lila Indahsari, Ayu Rosalina Wansen, Tjong President University Master of Science Information Technology Study Program Bekasi Indonesia President University Informatics Study Program Bekasi Indonesia

ISBN: (纸本)9798350322002

Knowing a lot about attributes, such as bank client data, marketing campaigns, social and economic context, and so on, is necessary to predict which bank customers are likely to sign up for time deposits. The direct marketing campaigns dataset for the bank institution was made available by the UCI machine learning repository. This dataset had previously been used in studies to forecast customers who would sign up for time deposits, but the outcomes of the two studies were different. The purpose of this study is to determine which machine learning methods are most effective for predicting customers who will sign up for time deposits. In this study, researchers used machine learning methods like random forests, K-nearest neighbors, decision trees, naive bayes, logistic regression, SVM, and XGBoost to uncover the truth. Results showed that XGBoost had the highest accuracy (91.73%), followed by the DT classifier (88.79%), LR classifier (91.2%), NB classifier (84.78%), KNN classifier (90.6%), SVM (89.6%), and XGBoost (91.44%). © 2022 IEEE.

关键词： Forecasting

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Random Forest vs. SVM vs. KNN in classifying Smartphone and Smartwatch sensor data using CRISP-DM

Random Forest vs. SVM vs. KNN in classifying Smartphone and ...

引用

2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020

作者： Saleh, Sadiq Jaffer Ali, Sayed Qasim Zeki, Ahmed M. University of Bahrain Big Data Science Analytics Master Program Bahrain University of Bahrain College of Information Technology Deptartment of Information Systems Bahrain

ISBN: (纸本)9781728196756

Nowadays IoT sensors become one of the major sources of data, starting from home automation going to daily devices. Focusing on handsets that have the most significant contribution factor on data blooming and booming. The problem at hand is data mining methods comparison, for selecting the best method that serves sensor data. Methodology used was CRISP-DM. This paper found Random Forest data mining method to work best under the described circumstances. © 2020 IEEE.

关键词： Data mining

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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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Comparing Naïve Bayes, Decision Tree and Logistic Regression Methods in Fraudulent Credit Card Transactions

Comparing Naïve Bayes, Decision Tree and Logistic Regressio...

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2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy, ICDABI 2020

作者： Alanezi, Maha A. Homeed, Mawra T. Mohamed, Zahra S. Zeki, Ahmed M. University of Bahrain Big Data Science Analytics Master Program Collage of Science Sakhir Bahrain University of Bahrain Collage of Information Technology Department of Information System Sakhir Bahrain

ISBN: (纸本)9781728196756

Data mining is utilized to explore banks' data to unravel any hidden scams and detect potential frauds. The aim of this paper is to compare between the Naïve Bayes, Decision Tree and Logistic Regression in fraudulent credit card transactions. Cross-Industry Standard Process for Data Mining (CRISP-DM) is followed to achieve the aim of this research. In terms of accuracy, the best classification model was Logistic Regression with 94.6% accuracy, compared with the Decision Tree and Naïve Bayes that showed accuracy of 89.1% and 90.9% respectively. Other measures were also calculated like time needed to build the model among others. © 2020 IEEE.

关键词： Decision trees

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