2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)最新文献_第7页

An Analysis of Learning Processes on Online Notes using Scrapbox 基于Scrapbox的在线笔记学习过程分析

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00088

N. Kondo, T. Hatanaka, T. Matsuda

引用次数: 1

A Novel Random Forest and its Application on Classification of Air Quality 一种新型随机森林及其在空气质量分类中的应用

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00018

Hualing Yi, Qingyu Xiong, Qinghong Zou, Rui Xu, Kai Wang, Min Gao

引用次数: 17

Using Synthetic Images with Deep Convolutional Neural Networks for Racial Face Recognition 基于深度卷积神经网络的合成图像种族人脸识别

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00099

Yen-lun Chen, Yi-Leh Wu, Cheng-Yuan Tang

{"title":"Using Synthetic Images with Deep Convolutional Neural Networks for Racial Face Recognition","authors":"Yen-lun Chen, Yi-Leh Wu, Cheng-Yuan Tang","doi":"10.1109/IIAI-AAI.2019.00099","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00099","url":null,"abstract":"In the past, people usually employ the facial feature extraction and shallow learners such as decision trees, SVM, Naive Bayes, etc. to classify faces of different races. Deep learning usually takes lots of time to train. But with the advances in hardware and new algorithm proposed, the training time problem is gradually alleviated. The deep convolutional neural networks have good effect on images classification. In this paper, we use the deep convolutional neural networks to try to solve the problem of classification faces of different racial origin. Because the convolutional neural networks usually require a huge amount of data for training for good performance, such training set of real racial faces is not available to us. As a result of small set of real racial faces, this study proposes to incorporate synthetic facial images in our training set to sufficiently increase the size of the training set. To the best of our knowledge, this study is the first to propose to incorporate synthetic racial faces to train a deep convolutional neural network to classify real racial faces. We compare the performance of only employ synthetic facial images and mixtures of synthetic and real facial images in the training set. Our experiments show that training with only the real facial images (2,500 images) can achieve 91.25% accuracy in classifying faces of three different race origins. However, the classification when training with a mixture of 2,500 real facial images and 15,000 synthetic facial images can be further improved to 98.5% in accuracy.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127635417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Quality Satisfaction of A Multi-User Virtual Reality System 多用户虚拟现实系统的质量满意度

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00040

Chih-Hsiang Ko

引用次数: 0

Detection of Falls with Smartphone Using Machine Learning Technique 使用机器学习技术的智能手机检测跌倒

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00129

Xianyao Chen, Hai Xue, Min-Woo Kim, Cheng Wang, H. Youn

{"title":"Detection of Falls with Smartphone Using Machine Learning Technique","authors":"Xianyao Chen, Hai Xue, Min-Woo Kim, Cheng Wang, H. Youn","doi":"10.1109/IIAI-AAI.2019.00129","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00129","url":null,"abstract":"As the population aging issue becomes more serious these days, fall detection of the elderly has been attracting a great deal of interests. A fall detection system includes data collection, data pre-processing, feature extraction, feature selection, and then activity classification. In this context the researchers have conducted studies on acceleration-based fall detection using external accelerometer or built-in sensors in smartphone. In this paper a novel approach for fall detection using machine learning technique is proposed, which employs a new pre-processing technique to remove noise from sensor data. It mainly consists of two processes: short-term smoothing to remove the short term vibration and long-term smoothing to smooth sensor readings captured in a longer time window. To detect falls, statistical models are proposed to extract the features. A public dataset, MobiFall, is used for performance evaluation, which contains the data of accelerometer and gyroscope with the orientation along each axis in the smartphone coordination system. With the selected features, the proposed scheme identifies falls from the activities of daily living with a high accuracy of up to 98.3%. Moreover, tFall dataset is also used to perform a cross verification of the proposed scheme.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126635682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Using Learning Analytics to Build a Learning Support Program for Distance Learning in Nursing 使用学习分析建立护理远程学习的学习支持计划

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00076

M. Yagi, Reiko Murakami, S. Tsuzuku, Mitsue Suzuki, H. Nakano, Katsuaki Suzuki

引用次数: 1

Design and Evaluation of a Collaborative POE-based Learning Model for Mathematics Learning 基于协同学习的数学学习模式设计与评价

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00216

Yi-Ting Gau, Kai-Hsiang Yang

{"title":"Design and Evaluation of a Collaborative POE-based Learning Model for Mathematics Learning","authors":"Yi-Ting Gau, Kai-Hsiang Yang","doi":"10.1109/IIAI-AAI.2019.00216","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00216","url":null,"abstract":"Many research indicates that the integration of mobile learning environment can effectively enhance students' motivation for learning. However, instructors adopt appropriate learning strategies is the main factor to help students improve their learning performance. The study expected the Predict-Observe-Explain (POE) teaching strategies in mathematics teaching has significant effects on learning effectiveness and retention. Few studies have explicitly incorporated the POE strategy and collaborative learning approach with mobile learning environment in elementary students' mathematics learning. The 41 fifth graders who participate in this research are assigned to an experimental group and a control group. The students in the experimental group will learn through the POE teaching strategy combined with the collaborative learning approach; while those who participant in control group will learn mathematics through the POE teaching strategy only. The aim of this research focuses on the effects of the POE strategy and collaborative learning approach with mobile learning environment on students' learning achievements, learning attitude, and self-efficacy of mathematics.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124962688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Customer Needs Analysis for Overseas Purchasing in Taiwan 台湾海外采购的客户需求分析

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00211

Long-Sheng Chen, Mu-Chen Chen, Yi-Ru Lin

引用次数: 1

A Cooperative Learning System for Financial Education Using ICT 基于ICT的金融教育合作学习系统

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00226

Megumi Futatsugi, Kyoko Ojima, Y. Takata, Y. Kasahara, Chiho Oyabu, Kimikazu Sugimori

引用次数: 1

Prototype of Visual Programming Environment for C Language Novice Programmer 面向C语言新手的可视化编程环境原型

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00037

Kousuke Abe, Yuki Fukawa, Tetsuo Tanaka

{"title":"Prototype of Visual Programming Environment for C Language Novice Programmer","authors":"Kousuke Abe, Yuki Fukawa, Tetsuo Tanaka","doi":"10.1109/IIAI-AAI.2019.00037","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00037","url":null,"abstract":"For the education of beginning programmers, visual programming that develops programs by combining blocks has attracted significant attention. An environment for generating code in a conventional programming language is also provided. However, existing environments are not fully visualized. In this investigation, we prototyped a development environment for the C language in which users can intuitively understand the concept of variable declarations and include statements, and an execution environment that visualizes the state of evaluation of expressions and changes in the values of variables before and after the execution of the statement. It also has step-forward and step-backward functions. This programming environment is a web application developed with JavaScript. For step-by-step evaluation of an expression, it converts the expression internally to reverse Polish notation and visualizes the change in the terms in the expression. To implement the step-backward function, it has a history-of-execution context. We determined experimentally that students who are not proficient in C can program more accurately and quickly in this environment than with text-based coding.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131432728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2