2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)最新文献_第6页

PETA-System – A Piano Expression Teaching Aid System peta系统——钢琴表达教学辅助系统

2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2020-08-30 DOI: 10.1109/CCECE47787.2020.9255820

T. Carvalho, C. Costa, J. Mombach, Cristiane B. R. Ferreira, D. Fernandes, Fabrízzio Soares

{"title":"PETA-System – A Piano Expression Teaching Aid System","authors":"T. Carvalho, C. Costa, J. Mombach, Cristiane B. R. Ferreira, D. Fernandes, Fabrízzio Soares","doi":"10.1109/CCECE47787.2020.9255820","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255820","url":null,"abstract":"In order to provide good musical performance to the piano, the wrist movement is very important during the performance of experienced players. However, to acquire proficiency in this technique is not a simple task since it is not simple to find formal representation, such as sheet music, to provide information about body movements. Moreover, piano teachers have to spend lots of effort to demonstrate an exercise to a single student, while many times they have to deal with many students in a classroom. Therefore, learning this approach requires not only observing experienced players but also, try to reproduce their execution to get practice. In this work, we propose PETA-System: a computer aid tool for teaching wrist movements on piano playing. The tool provides an interactive interface on which a tutor can record video musical excerpts to be performed by a learner. To evaluate the system, we carried out tests with actual learners to verify the improvement of the learning experience of wrist movement. A result has shown that the tool provided a stimulating learning environment for the student while reducing teacher efforts since they can share a time monitoring many students at the same time rather than a single one.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130096063","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 0.3V 15.6MHz 7T SRAM with Boosted Write and Read Worldlines 一个0.3V 15.6MHz 7T SRAM与增强的写和读世界线

2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2020-08-30 DOI: 10.1109/CCECE47787.2020.9255734

M. Al-Fayyad, K. Abugharbieh

引用次数: 0

Artificial Neural Network Based Improved Modulation Strategy for GaN–based Inverter in EV 基于人工神经网络的电动汽车gan逆变器改进调制策略

2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2020-08-30 DOI: 10.1109/CCECE47787.2020.9255829

Soumava Bhattacharjee, Sukanta Halder, Animesh Kundu, K. Iyer, N. Kar

{"title":"Artificial Neural Network Based Improved Modulation Strategy for GaN–based Inverter in EV","authors":"Soumava Bhattacharjee, Sukanta Halder, Animesh Kundu, K. Iyer, N. Kar","doi":"10.1109/CCECE47787.2020.9255829","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255829","url":null,"abstract":"Wide–bandgap (WBG) device based high–frequency inverters using Gallium Nitride (GaN) switches are gaining significant research attention in the field of electric vehicles (EVs) due to their potential to operate at higher switching frequencies with improved efficiency as compared to the available power devices. However, the computation time of the control algorithm plays a significant role in the effective control and operation of such high–frequency converters. This paper presents an advanced artificial neural network (ANN) based improved space vector pulse width modulation (SVPWM) control for Gallium Nitride based inverter in EV application. The proposed neural–network (NN) based control technique has two core objectives: the first objective is to overcome the processing speed of the complex algorithm during high switching frequency operation and hence reduce the computation time which is the major challenge in WBG device–based inverter control. The second objective is to minimize the GaN inverter switching losses and to improve the overall performance of the inverter. The NN based SVPWM is trained using the reference voltage to get the modulated signal for pulse generation, thereby reducing the computation time and improving the performance of the inverter. The proposed ANN–based improved switching strategy has been validated experimentally using a GaN inverter and a comparative performance analysis with a conventional SVPWM technique is presented in this paper.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127747632","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

Tracking Control of Force, Position, and Contour for an Excavator with Co-simulation 基于联合仿真的挖掘机力、位置和轮廓跟踪控制

2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2020-08-30 DOI: 10.1109/CCECE47787.2020.9255683

N. Reginald, Jaho Seo, Abdullah Rasul

引用次数: 2

Measurement and Analysis of Small Cell Splitting in a Real-world LTE-A HetNet 实际LTE-A网中小蜂窝分裂的测量与分析

2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2020-08-30 DOI: 10.1109/CCECE47787.2020.9255826

Haijun Gao, Japjot Singh Bawa, R. Paranjape

{"title":"Measurement and Analysis of Small Cell Splitting in a Real-world LTE-A HetNet","authors":"Haijun Gao, Japjot Singh Bawa, R. Paranjape","doi":"10.1109/CCECE47787.2020.9255826","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255826","url":null,"abstract":"Network densification is an important topic which has been studied during the past decades in the 4G heterogeneous networks (HetNets). Deployment of small cells and cell-splitting technique are aimed to increase network capacity, cell coverage, and total cell throughput in HetNets. However, most published literature is about theoretical analysis. In this paper, extensive measurements are conducted in a real-world LTE-A HetNet environment. The cell-splitting strategy is applied in a real-world LTE-A HetNet. Four directional antennas operate as one cell and two cells respectively in an indoor gymnasium in the University of Regina. Optimization techniques such as ABS (Almost Blank Subframe) are utilized to mitigate interference and increase UE (user equipment) SINR inside the gymnasium. Users' (both static users and moving users) average SINR and system cell throughput are used to evaluate the performance of the tests. Our results show that operating the small cells from one cell to three cells for the whole building, the SINR inside the gymnasium decreased from 29 dB to 5 dB, and cell throughput decreased from 140 Mbps to 88Mbps. Even though the throughput performance of cells inside the gymnasium is slightly lowered, the overall network capacity of the building is enhanced.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123427802","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

Evaluation and Detection of Gaps in Curved Sugarcane Planting Lines in Aerial Images 航空影像中甘蔗种植曲线间隙的评价与检测

2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2020-08-30 DOI: 10.1109/CCECE47787.2020.9255701

B. M. Rocha, G. S. Vieira, Afonso U. Fonseca, H. Pedrini, N. M. Sousa, Fabrízzio Soares

{"title":"Evaluation and Detection of Gaps in Curved Sugarcane Planting Lines in Aerial Images","authors":"B. M. Rocha, G. S. Vieira, Afonso U. Fonseca, H. Pedrini, N. M. Sousa, Fabrízzio Soares","doi":"10.1109/CCECE47787.2020.9255701","DOIUrl":"https://doi.org/10.1109/CCECE47787.2020.9255701","url":null,"abstract":"Sugarcane is one of the main crops in the world due to the economic value it promotes by selling its derivatives. A diversity of technologies has been developed to optimize agricultural activities and maximize the productivity of sugarcane crops. In this sense, our primary goal is to contribute to this research area by detecting planting lines and measuring their faults, including the evaluation of curved lines that substantially limit numerous solutions in practical applications. An automatic method that identifies and measures sugarcane planting lines through digital image processing techniques and machine learning algorithms is presented. The proposal is evaluated using a database of real scene images, which were classified by K-Nearest Neighbors (KNN) and prepared with the support of a small unmanned aerial vehicle (UAV). Experimental tests show a low relative error of approximately 1.65% compared to manual mapping in the planting regions. It means that our proposal can identify and measure planting lines accurately, which enables automated inspections with high precision measurements.","PeriodicalId":296506,"journal":{"name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127682867","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: 4

Index 指数

2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2020-08-30 DOI: 10.1109/ccece47787.2020.9255740

引用次数: 0

Multimodality Weight and Score Fusion for SLAM SLAM的多模态权重和分数融合

2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2020-08-30 DOI: 10.1109/CCECE47787.2020.9255714

Thangarajah Akilan, E. Johnson, Gaurav Taluja, Japneet Sandhu, Ritika Chadha

引用次数: 4

A D-Type Flip-Flop with Enhanced Timing Using Low Supply Voltage 一种使用低电源电压增强时序的d型触发器

2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2020-08-30 DOI: 10.1109/CCECE47787.2020.9255809

Osama Bondoq, K. Abugharbieh, Abdullah Hasan

引用次数: 2

Parkinson's Tremor Onset Detection and Active Tremor Classification Using a Multilayer Perceptron 基于多层感知器的帕金森震颤发作检测与活动震颤分类

2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2020-08-30 DOI: 10.1109/CCECE47787.2020.9255672

Anas Ibrahim, Yue Zhou, M. Jenkins, M. Naish, A. L. Trejos

引用次数: 3