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2020 International Conference on Electronics, Information, and Communication (ICEIC)最新文献

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A Simple Ramp Generator With an Active Ramp Tracking Control For a Fast Response PWM Buck Converter 用于快速响应PWM降压变换器的带有主动斜坡跟踪控制的简单斜坡发生器
2020 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2020-01-01 DOI: 10.1109/ICEIC49074.2020.9051019
Hyeon-Sam Shin, Sang-Ho Lee, Jung-Ho Kim, Byung‐Do Yang
{"title":"A Simple Ramp Generator With an Active Ramp Tracking Control For a Fast Response PWM Buck Converter","authors":"Hyeon-Sam Shin, Sang-Ho Lee, Jung-Ho Kim, Byung‐Do Yang","doi":"10.1109/ICEIC49074.2020.9051019","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051019","url":null,"abstract":"In this paper, a simple ramp generator with an active ramp tracking control (ARTC) for a fast response PWM buck converter is proposed. It simplifies two amplifiers and two analog level shifters in the conventional ramp generator with the ARTC to a single amplifier. The area and power of the proposed ramp generator are reduced to 31% and 44% compared to the conventional ramp generator with the ARTC. The PWM buck converter with the proposed ramp generator was fabricated in a 1.8V 65nm CMOS process.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117191407","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
SSPV: Self-time Synchronization Protocol for Vehicular Networks 车联网自时间同步协议
2020 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2020-01-01 DOI: 10.1109/ICEIC49074.2020.9051259
Mahmoud Elsharief, Mohamed A. Abd El-Gawad, Hyungwon Kim
{"title":"SSPV: Self-time Synchronization Protocol for Vehicular Networks","authors":"Mahmoud Elsharief, Mohamed A. Abd El-Gawad, Hyungwon Kim","doi":"10.1109/ICEIC49074.2020.9051259","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051259","url":null,"abstract":"Time synchronization is fundamental for vehicular comminutions (V2X). In practical, V2X requires tight time synchronization for TDMA Medium Access Control (MAC) protocol and safety applications. Mostly, V2X devices are equipped with a Global Positioning System (GPS) receiver, which guarantees tight time synchronization for connected vehicles. However, vehicles might be subject to some GPS outages, especially inside tunnels. To address this issue, we introduce this paper. It proposes an efficient time synchronization technique called Self-time Synchronization Protocol for V2X (SSPV). It fixes the clock drift resulted from the GPS connectivity loss using a history of experienced time offsets. This paper shows that SSPV achieves significantly less synchronization error compared to the case of not applying any correction method. Simulation results show that our approach only incurs a maximum time offset of 80 microseconds for a time period of 30 minutes.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123265413","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
Implementation of Data-optimized FPGA-based Accelerator for Convolutional Neural Network 基于fpga的卷积神经网络数据优化加速器的实现
2020 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2020-01-01 DOI: 10.1109/ICEIC49074.2020.9050993
Mannhee Cho, Youngmin Kim
{"title":"Implementation of Data-optimized FPGA-based Accelerator for Convolutional Neural Network","authors":"Mannhee Cho, Youngmin Kim","doi":"10.1109/ICEIC49074.2020.9050993","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9050993","url":null,"abstract":"Convolutional Neural Networks (CNNs) are widely used for image recognition, and FPGAs are considered suitable platform for CNNs due to their low power consumption and reconfigurability. While CNNs are mostly trained using floating point data type for high inference accuracy, fixed point data type can be used to reduce data size and take advantage of computation efficiency on FPGAs without any accuracy loss. In this paper, we propose an accelerator design for LeNet-5 CNN architecture [1] for MNIST handwritten digit recognition. The accelerator is synthesized with Xilinx Vivado High-Level Synthesis (HLS) tool (v2017.2), targeting xczu9eg-ffvb1156-2-i FPGA board. The proposed accelerator focuses on reducing latency and memory usage, and the performance is compared with a conventional floating point design. Our proposed accelerator can achieve latency reduction up to 90% and memory usage reduction up to 40% without any accuracy loss, compared to the conventional design.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122118468","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
Predictive Vector Quantized Variational AutoEncoder for Spectral Envelope Quantization 预测矢量量化变分自编码器的频谱包络量化
2020 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2020-01-01 DOI: 10.1109/ICEIC49074.2020.9051233
Tanasan Srikotr, K. Mano
{"title":"Predictive Vector Quantized Variational AutoEncoder for Spectral Envelope Quantization","authors":"Tanasan Srikotr, K. Mano","doi":"10.1109/ICEIC49074.2020.9051233","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051233","url":null,"abstract":"The Predictive Vector Quantized Variational AutoEncoder is proposed to improve the reconstruction error of the conventional VQ-VAE. The proposed model can predict the current data from the previous data. The performance of the quantized spectral envelope parameters of the high-quality 48 kHz WORLD vocoder is evaluated. The results indicate that the Predictive Vector Quantized Variational AutoEncoder has a lower distortion with four target bitrates in term of log-spectral distortion, compared with the conventional VQ-VAE.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125154497","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
Development of Speech Emotion Recognition Algorithm using MFCC and Prosody 基于MFCC和韵律的语音情感识别算法的发展
2020 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2020-01-01 DOI: 10.1109/ICEIC49074.2020.9051281
Hyejin Koo, S. Jeong, Sungjae Yoon, Wonjong Kim
{"title":"Development of Speech Emotion Recognition Algorithm using MFCC and Prosody","authors":"Hyejin Koo, S. Jeong, Sungjae Yoon, Wonjong Kim","doi":"10.1109/ICEIC49074.2020.9051281","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051281","url":null,"abstract":"Recently, in the field of Human Computer Interaction (HCI), speech emotion recognition (SER) is a highly challenging work. Various models have been proposed for better performance. In this paper, we use GRU model, which achieves comparably high performance with less parameters. We used not only MFCC, delta, and acceleration, but also delta of acceleration. Additionally, we propose the novel input feature that captures their pair simultaneously. Furthermore, we applied the prosody, the low-level feature of speech, for every step in GRU cell with MFCC feature. Our model obtained 64.47% of weighted accuracy, using only audio input from both of improvised and scripted data in IEMOCAP.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125210774","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
Aerodynamics Force Analysis for Designing a Flapping Butterfly Robot Wing 扑翼蝴蝶机器人机翼气动力分析
2020 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2020-01-01 DOI: 10.1109/ICEIC49074.2020.9051389
K. Sukvichai, Kan Yajai
{"title":"Aerodynamics Force Analysis for Designing a Flapping Butterfly Robot Wing","authors":"K. Sukvichai, Kan Yajai","doi":"10.1109/ICEIC49074.2020.9051389","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051389","url":null,"abstract":"Flyable robots are always amazed human because its behavior. Designing a flapping wing robot is complex since wing aerodyanamics and aeroelastics have to be considered. In this research, wing section aerodynamics forces are explained. Several aerodynamic equations are derived and estimated in order to obtain lift and thrust forces that acted on each butterfly wing section. Average lift force over one flapping cycle is used to design the prototype butterfly robot wing structure and motion. Wing structure is designed based on the real butterfly wing dimension. Wing was made by a reinforced laminar plastic sheet in order to achieve wing's rigidity and properties of thin airfoil. Separated servo driven flapping mechanism is selected in this research due to its flexibility and performance. Finally, prototype butterfly wing is designed.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125315243","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
A New Design Method for Multistage DC Power Distribution Systems 多级直流配电系统设计的一种新方法
2020 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2020-01-01 DOI: 10.1109/ICEIC49074.2020.9051140
Syam Kumar Pidaparthy, Donghyuk Kim, B. Choi
{"title":"A New Design Method for Multistage DC Power Distribution Systems","authors":"Syam Kumar Pidaparthy, Donghyuk Kim, B. Choi","doi":"10.1109/ICEIC49074.2020.9051140","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051140","url":null,"abstract":"In this paper, we propose a new design method for multistage dc power distribution systems, which employ several pulsewidth modulated (PWM) converter stages and intermediate line filters in a cascaded manner. In the proposed method, individual PWM converter stages are initially built as a standalone converter, powered from an ideal voltage source and loaded with a current sink. Once the individual PWM converters are properly engineered based on the standard procedures, the intermediate filters are then designed and fabricated to provide the desired converter performance, dc link dynamics, system stability, and system dynamics. Thus, the task of designing a dc power distribution systems is reduced to the design problem of intermediate line filters. The validity of the proposed method is confirmed with an experimental dc power distribution system.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"517 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125377231","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
Facial Expression Recognition in Videos: An CNN-LSTM based Model for Video Classification 视频中的面部表情识别:基于CNN-LSTM的视频分类模型
2020 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2020-01-01 DOI: 10.1109/ICEIC49074.2020.9051332
Muhammad Abdullah, Mobeen Ahmad, Dongil Han
{"title":"Facial Expression Recognition in Videos: An CNN-LSTM based Model for Video Classification","authors":"Muhammad Abdullah, Mobeen Ahmad, Dongil Han","doi":"10.1109/ICEIC49074.2020.9051332","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051332","url":null,"abstract":"Facial Expressions are an integral part of human communication. Therefore, correct classification of facial expression in image and video data has been an important quest for researchers and software development industry. In this paper we propose the video classification method using Recurrent Neural Networks (RNN) in addition to Convolution Neural Networks (CNN) to capture temporal as well spatial features of a video sequence. The methodology is tested on The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS). Since no other results were available on this dataset using only visual analysis, the proposed method provides the first benchmark of 61% test accuracy on given dataset.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130142156","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: 14
Energy Harvesting from Beverage Residues using a Microbial Fuel Cells 利用微生物燃料电池从饮料残留物中获取能量
2020 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2020-01-01 DOI: 10.1109/ICEIC49074.2020.9051378
Jeongjin Yeo, Yoonseok Yang
{"title":"Energy Harvesting from Beverage Residues using a Microbial Fuel Cells","authors":"Jeongjin Yeo, Yoonseok Yang","doi":"10.1109/ICEIC49074.2020.9051378","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051378","url":null,"abstract":"In this study, bioelectrochemical energy harvesting technology using a microbial fuel cell (MFC) is proposed which can generate electric energy from beverage residues containing abundant chemical energy. Various beverage residues (coffee, orange juice, soda, milk, yogurt, energy-drink, beer) were inoculated into the MFCs and results were observed. Output characteristics of the MFCs showed differences among all kind of beverages. These results showed that the activity of the microbes in the MFCs was varied due to differences in organic components of each beverage. However, MFCs successfully generated electric energy with all types of beverages used in the study. Moreover, there was a significant improvement in output performance compared with the control group which is inoculated with an initial substrate (vermicompost). MFCs inoculated with coffee and energy-drink generated a maximum power of above $50 mumathbf{W}$ which was 100 times higher than that of control MFC. It is expected that bioelectrochemical energy harvesting technology including MFC could be advanced into a sustainable power system beyond the pollutant treatment.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122442205","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
Ultrasonic Modulation of Neuronal Activity 神经元活动的超声调制
2020 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2020-01-01 DOI: 10.1109/ICEIC49074.2020.9051016
S. Hwang, S. Jun
{"title":"Ultrasonic Modulation of Neuronal Activity","authors":"S. Hwang, S. Jun","doi":"10.1109/ICEIC49074.2020.9051016","DOIUrl":"https://doi.org/10.1109/ICEIC49074.2020.9051016","url":null,"abstract":"Recently, ultrasound is emerging as an advantageous neuromodulation method due to its noninvasiveness and the high spatial resolution. However, the underlying mechanism have not been elucidated yet. Furthermore, the effective parameters for ultrasound neuromodulation is not well established. In this study, we aim to determine the optimized ultrasound condition using cultured neurons on microelectrode arrays. Various combination of ultrasound parameters were tested on the cultured neural cells. With 0.5 MHz center frequency ultrasound, 7.66 W/cm2 spatial peak pulse average intensity, 3.83 W/cm2 spatial peak temporal average acoustic intensity, 50 % duty cycle and 1 kHz pulse repetition frequency were the most effective to modulate the activity of neurons.","PeriodicalId":271345,"journal":{"name":"2020 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125510340","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
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