TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)最新文献

Monophonic Audio-Based Automatic Acoustic Guitar Tablature Transcription System with Legato Identification 单声道音频为基础的自动原声吉他音阶转录系统与连奏识别

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707430

Moira Kelly Boloyos, Thea Kaylee Libunao, Jerome Masilungan, Franz A. de Leon, C. R. Lucas, Carl Timothy Tolentino

{"title":"Monophonic Audio-Based Automatic Acoustic Guitar Tablature Transcription System with Legato Identification","authors":"Moira Kelly Boloyos, Thea Kaylee Libunao, Jerome Masilungan, Franz A. de Leon, C. R. Lucas, Carl Timothy Tolentino","doi":"10.1109/TENCON54134.2021.9707430","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707430","url":null,"abstract":"Music transcription plays a significant role in the music community in terms of learning and sharing knowledge about musical pieces. However, for guitar tablatures, most existing transcription systems fail to incorporate articulation detection. In this study, an automatic guitar transcription (AGT) system, which uses a monophonic guitar recording as input to detect and identify the string-fret combinations and articulations (legato) played, was developed. Algorithms for each system block were chosen and modified to fit the system specifications. Results show that the modifications led to improvements in the string-fret block accuracy, from 78% to 87%, and the articulation block F-measure, from 59% to 84%. The AGT system was also compared with a commercial music transcription application. While both were trained on different data sets, the AGT system outperformed the latter, with the system having 78.65% string-fret accuracy and 93.23% articulation accuracy compared to the commercial application's 48.44% string-fret accuracy and 70.31% articulation accuracy.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115214659","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

Design of a 3-State Switching cell Converter using Hybrid Fuzzy PID and H-infinity Controller 基于模糊PID和h∞控制器的三态开关单元变换器设计

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707345

N. Swain, Nivedita Pati, Babita Panda

引用次数: 0

Diagnosis of Asthma in Children Based on Symptoms: A Machine Learning Approach 基于症状的儿童哮喘诊断:一种机器学习方法

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707283

Bhabesh Mali, Subhashish Dhal, A. Das

{"title":"Diagnosis of Asthma in Children Based on Symptoms: A Machine Learning Approach","authors":"Bhabesh Mali, Subhashish Dhal, A. Das","doi":"10.1109/TENCON54134.2021.9707283","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707283","url":null,"abstract":"Asthma is a chronic disease which is affecting a huge population around the world. In this disease, air passages of lungs in a human body become narrow due to inflammation and tightening of the muscles. It causes repeated episodes of wheezing, breathlessness, sleep disturbances, chest tightness, nighttime or early morning coughing etc. Though an occurrence of any one of these symptoms, at a time, cannot be concluded as asthma, but repeated occurrence of the combined symptoms may be concluded as asthma. Therefore, it is highly required to detect asthma as early as possible before getting into the corresponding exacerbation. Diagnosis of asthma in children is a very difficult process. Certain devices may be created that could monitor these symptoms in child, wherein a machine learning model can be deployed to detect the initial development of asthma. We develop one model that could detect early stage of asthma in children based on asthma status of the parents and some of the combination of core symptoms. We used the dataset prepared in phase two of International Study of Asthma and Allergies in Children (ISAAC). We have tried four relevant machine leaning models to select the model with best accuracy. Four models that we have tried are Decision Tree Classifier, Random Forest Classifier, k-Nearest Neighbor and Artificial Neural Network. We finally selected the best model,i.e., Artificial Neural Network with the training accuracy as 95% and test accuracy as 91.6%, respectively.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123088971","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

Teleoperated Food and Medicine Courier Mobile Robot for Infected Diseases Patient 传染病患者遥控食品药品快递移动机器人

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707377

I. A. Sulistijono, M. Rois, Andy Yuniawan, E. Binugroho

{"title":"Teleoperated Food and Medicine Courier Mobile Robot for Infected Diseases Patient","authors":"I. A. Sulistijono, M. Rois, Andy Yuniawan, E. Binugroho","doi":"10.1109/TENCON54134.2021.9707377","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707377","url":null,"abstract":"Currently, much medical personnel died because of being infected by COVID-19 and because of low personal protective facilities and the duties of medical personnel that must carry out to deliver the logistics to patients and make many contacts between the medical personnel and patients of COVID-19. Mobile robots are considered the right solution to complete this problem. With mobile robots, hospitals or the place of isolation can minimize contact between medical personnel and patients of COVID-19 by carrying out the logistic delivery task. To deliver the logistic, a mobile robot must have low-level control, and the mechanism to carry out the workpiece also have the mechanism to open the door. The mechanism to carry out the workpiece is a system to pick up and place the rack of logistics from one place to another. In this study, the low-level control was applied using a PID control with the parameter's value $boldsymbol{k}_{boldsymbol{p}}=500,boldsymbol{t}_{boldsymbol{i}}=0.001$, and $boldsymbol{t}_{boldsymbol{d}}=0.001$ and teleoperation to control the mobile robot manually, so the mobile robot was able to move and carry out the load with the maximum value is 13 kg also open the door. Based on the results of the tests that have been carried out, the mobile robot with the proposed low-level control and the object management system can do the delivery task to reduce contact between medical personnel and patients of COVID-19, also the mobile robot can be controlled manually.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123680914","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

Process Management for Admission Control to Access Available Resources for Delay Sensitive Service in Fog-to-Cloud Architecture 雾到云架构中延迟敏感服务访问可用资源的准入控制进程管理

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707351

U. Premarathne

引用次数: 0

Finite Frequency Robust Control for Electro-Hydraulic Servo Actuated Active Suspension System 电液伺服主动悬架系统的有限频率鲁棒控制

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707260

Mazid Ishtique Ahmed, A. Azad

引用次数: 0

Contextualizing Types of Filipino Collective Support during the #COVID19 Lockdown # covid - 19封锁期间菲律宾集体支持的背景类型

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707346

Brenda Benosa, C. D. Ramos

{"title":"Contextualizing Types of Filipino Collective Support during the #COVID19 Lockdown","authors":"Brenda Benosa, C. D. Ramos","doi":"10.1109/TENCON54134.2021.9707346","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707346","url":null,"abstract":"The lockdown as a countermeasure at the onset of the COVID-19 pandemic gained diverse responses globally. Many turned to Social Media platforms such as Twitter to express their sentiments on health crisis-related concerns. This study magnified the collective support-related Twitter content posted by users within the Philippines at the beginning of the pandemic. Collective Support expressions were collected using the Twitter Python Library and examined using content analysis. The primary goal is to elicit insights to understand the Filipinos' social/collective behaviors and how they were manifested at the onset of the COVID-19 lockdown. Hofstede's and Triandis' Theory of Collectivism primarily guided the direction of the study towards the affirmation of the Philippines as a collectivistic nation as demonstrated in the Collective Support Tweets classified under the following identified themes: (1) Language of Appreciation, Tribute, Support, covering the most significant percentage with 38.96% of the collective support tweets; (2) Friendly Reminders with 28.91%; (3) Acts of Community Service comprising 20.31%; and (4) Encouraging Words forming 11.82%. Given the Filipino's traditional familial and community-oriented culture, their collectivistic behavior shall naturally be conveyed irrespective of location, technology, and other relevant settings. However, considering the Twitter dataset under study, the technology shaped cultural implications based on the shared Twitter content in the Philippines. Further, it has affirmed the Philippines' collectivistic culture in accordance with the indicators under Hofstede's and Triandis' Theory of Collectivism.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128438725","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

R-Peak Detection from ECG Signals Using Fractal Based Mathematical Morphological Operators 基于分形数学形态学算子的心电信号r -峰检测

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707247

Deepankar Nankani, Parabattina Bhagath, R. Baruah, P. Das

{"title":"R-Peak Detection from ECG Signals Using Fractal Based Mathematical Morphological Operators","authors":"Deepankar Nankani, Parabattina Bhagath, R. Baruah, P. Das","doi":"10.1109/TENCON54134.2021.9707247","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707247","url":null,"abstract":"The Electrocardiogram (ECG) signal is used to detect cardiac abnormalities by measuring the heart's electrical activity. ECG constitutes the fiducial points P-wave, QRS complex, and T-wave. The QRS complex is the most striking waveform that comprises Q-wave, R-peak, and S-wave. This paper presents a simple, reliable, and intuitive algorithm that meets the clinical needs for real-time R-peak detection using Fractals. The proposed method preprocesses raw ECG signal to remove powerline interference and baseline wander from noisy ECG signal, followed by area calculation using mathematical morphological operators such as erosion and dilation. These operators are implemented using dynamic programming with memoization that helps in achieving accurate results in a shorter duration. The area curve is then resampled and hard thresholded to produce R-peaks. The method achieved a Sensitivity of 95.78%, Positive Predictivity of 97.53%, and a Detection Error Rate of 8.44% on the MIT-BIH Arrhythmia Database. The proposed method is highly effective for realtime applications considering the fast and low computational complexity of fractals.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129086446","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

Development of High Performance Hardware by High-Level Synthesis of Median-Based Dynamic Background Subtraction Method with Multiple Line Buffers* 基于多行缓冲的基于中值的动态背景减法的高级综合开发高性能硬件*

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707206

Kohei Shinyamada, A. Yamawaki

引用次数: 1

Overwhelmed by Fear: Emotion Analysis of COVID-19 Vaccination Tweets 被恐惧淹没:COVID-19疫苗接种推文的情绪分析

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707441

S. Lee, Shohil Kishore, Jongyoon Lim, L. Paas, H. Ahn

引用次数: 3