2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)最新文献_第3页

Investigation of Impedance Characteristics on Main and Leakage Flux Saturations by High Frequency Voltage Signal Injection for Induction Machines 高频电压信号注入感应电机主、漏磁饱和阻抗特性研究

2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST) Pub Date : 2018-07-01 DOI: 10.1109/ICEAST.2018.8434475

Rvosuke Kuboa, K. Ohyama

引用次数: 0

Incremental Discovery of Crowd from Evolving Trajectory Data 基于演化轨迹数据的人群增量发现

2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST) Pub Date : 2018-07-01 DOI: 10.1109/ICEAST.2018.8434397

Thi Thi Shein, S. Puntheeranurak, Makoto Imamura

引用次数: 2

Fruit Feature Recognition Based on Unsupervised Competitive Learning and Backpropagation Algorithms 基于无监督竞争学习和反向传播算法的水果特征识别

2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST) Pub Date : 2018-07-01 DOI: 10.1109/ICEAST.2018.8434481

A. H. Mohamud, Anilkumar Kothalil Gopalakrishnan

引用次数: 3

Combining Self-Training and Tri-Training for Course-Level Student Classification 自我训练与三训练相结合的课程级学生分类

2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST) Pub Date : 2018-07-01 DOI: 10.1109/ICEAST.2018.8434452

Vo Thi Ngoc Chau, N. H. Phung

{"title":"Combining Self-Training and Tri-Training for Course-Level Student Classification","authors":"Vo Thi Ngoc Chau, N. H. Phung","doi":"10.1109/ICEAST.2018.8434452","DOIUrl":"https://doi.org/10.1109/ICEAST.2018.8434452","url":null,"abstract":"Course-level student classification is one of the most popular tasks in the educational data mining area. It helps early identifying the students facing difficulties in a course by predicting their final study status after the end of the course. To perform this task more effectively, our work proposes a semi-supervised learning method, TriForest, which combines Self-Training and Tri-Training. TriForest has three base classifiers all of which are Random Forests in the learning process of the Self-Training framework. Meanwhile, TriForest explores the agreement mechanism of Tri-Training in selecting the most confidently predicted instances for training data set enhancement of each base classifier. In addition, our work also takes into account both study performance via grades and forum-related attributes in this classification task. The selected attributes are useful for the proposed method to differentiate successful students from students with failure in a course where the data sets of the past students can be used to build a classification model for the current students. Indeed, experimental results on real data sets have shown that with about 90% of Accuracy, our method can achieve better predictions than its base classifier and other semi-supervised learning methods. Such accurate student classifications help both students and lecturers forecast the students' study status and in-trouble students can be then supported appropriately for their ultimate success in the course.","PeriodicalId":138654,"journal":{"name":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121834888","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: 3

A Simplified Algorithm of Space Vector Modulation for Diode-Clamped Three-Level Inverter 二极管箝位三电平逆变器空间矢量调制的简化算法

2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST) Pub Date : 2018-07-01 DOI: 10.1109/ICEAST.2018.8434399

Sathon Tongthung, S. Polmai

引用次数: 1

Resonance in Vocal Techniques Analysis 声乐技巧中的共振分析

2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST) Pub Date : 2018-07-01 DOI: 10.1109/ICEAST.2018.8434502

Kajornsak Kittimathaveenan, P. Thumwarin, Nattaporn Pakalong, S. Nundrakwang

{"title":"Resonance in Vocal Techniques Analysis","authors":"Kajornsak Kittimathaveenan, P. Thumwarin, Nattaporn Pakalong, S. Nundrakwang","doi":"10.1109/ICEAST.2018.8434502","DOIUrl":"https://doi.org/10.1109/ICEAST.2018.8434502","url":null,"abstract":"Singers, especially when they start training, tend to have many questions concerning how to control their body as a musical instrument in order to create the sound they want. The fact that we humans can speak since birth does not mean that everyone can also control their vocal tract to make satisfactory singing sounds. Indeed, some people do not fully understand which organs are involved in the production of human speaking and singing sounds. To effectively teach singers, it is necessary to encourage them to observe the relationship between the voice organ and the sound they hear. This helps them understand which organs produce their singing voice as opposed to everyday speaking sounds. In this study, signal processing principles were used to analyze singing voices with the aim of helping singers and teachers to easily understand the principles of voice production, and with a focus on the effect of singing with nasal resonance. To fulfill this study, singing sounds were recorded and then processed to display the sound spectrum (amplitude of sound at different frequencies). In addition, the relationship between the voice production and the associated sounds were graphically analyzed.","PeriodicalId":138654,"journal":{"name":"2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131442513","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

A Review Paper Between Open Source and Commercial SDK and Performance Comparisons of Face Matchers 开源与商用SDK的比较及人脸匹配器的性能比较

2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST) Pub Date : 2018-07-01 DOI: 10.1109/ICEAST.2018.8434495

Wisarut Bhosithi, Sutat Sae-Tang, C. Sinthanayothin, W. Sinthupinyo

引用次数: 0

Security Education Using Gamification Theory 运用游戏化理论的安全教育

2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST) Pub Date : 2018-07-01 DOI: 10.1109/ICEAST.2018.8434432

K. Yonemura, J. Sato, Y. Takeichi, R. Komura, K. Yajima

引用次数: 4

Electronically Controllable SITO Multifunction Filter with Single VDTA 电子可控SITO多功能滤波器，单VDTA

2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST) Pub Date : 2018-07-01 DOI: 10.1109/ICEAST.2018.8434433

O. Channumsin, W. Tangsrirat

引用次数: 1

Fall Detection System for Labour Safety 劳动安全坠落探测系统

2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST) Pub Date : 2018-07-01 DOI: 10.1109/ICEAST.2018.8434476

Ahmar Hayat, Mohammad Shan

引用次数: 7