2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)最新文献_第2页

Analytical Evaluation of BER Considering Effect of Cross-Polarization in a Polarization Diversity 4×4 MIMO Satellite to Ground Link 考虑极化分集中交叉极化影响的误码率分析评价4×4 MIMO卫星对地链路

2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) Pub Date : 2019-01-01 DOI: 10.1109/ICREST.2019.8644326

Sharif, Abu Jahid, Md. Shamiul Islam, MD.Emran Hossain, A. Islam

引用次数: 3

Efficient and Stable Perovskite Solar Cell with TiO2 Thin Insulator Layer as Electron Transport 以TiO2薄绝缘体层作为电子传输层的高效稳定钙钛矿太阳能电池

2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) Pub Date : 2019-01-01 DOI: 10.1109/ICREST.2019.8644093

M. A. Hossain, A. Zaman, S. S. Mahtab, M. U. Khan, M. J. Alam, A. M. Khan, M. M. Uddin

引用次数: 4

Developing Reversible Data Hiding with Interpolation and Local Dispersion 利用插值和局部色散实现可逆数据隐藏

2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) Pub Date : 2019-01-01 DOI: 10.1109/ICREST.2019.8644320

Md Abdul Wahed, H. Nyeem, Md. Fazla Elahi

引用次数: 0

A Low-Cost and Portable Electrocardiogram (ECG) Machine for Preventing Diagnosis 一种低成本便携式预防诊断心电图机

2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) Pub Date : 2019-01-01 DOI: 10.1109/ICREST.2019.8644425

Rafaeal Hossain Rakin, Asad Siam, Md. Rafayet Hossain, Hasan U. Zaman

{"title":"A Low-Cost and Portable Electrocardiogram (ECG) Machine for Preventing Diagnosis","authors":"Rafaeal Hossain Rakin, Asad Siam, Md. Rafayet Hossain, Hasan U. Zaman","doi":"10.1109/ICREST.2019.8644425","DOIUrl":"https://doi.org/10.1109/ICREST.2019.8644425","url":null,"abstract":"Electrocardiogram (ECG) machines observe the electrical activity of the heart using electrodes on the skin surface and extract vital information about its functionality. Observations made through an ECG machine are usually recorded and is used to diagnose heart-related disorders. Typically, medically usable ECG machines are expensive thus the service is not easily affordable and accessible for the mass in developing countries like Bangladesh. This research designs a low-cost and portable ECG machine which could be a prototype, if successful in overcoming healthcare regulations, to enable easy observations variations of an Electrocardiogram among the mass. The entire system is comprised of an analog circuit and a processing unit. Primarily, the signal from the body is sensed using bio-electro-potential sensors or more widely known AgCl electrodes. Then an analog circuit retrieves and amplifies the signals received from the body to enable further processing. Moreover, a major component of the processing unit is to enable users to see the signal and allow the scope for a more precise output signal through further filtration both on the machine and over the web. The design used is effective, cheap, and easily doable so that it can be easily replicable.","PeriodicalId":108842,"journal":{"name":"2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134538467","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: 5

Emotion Detection from Speech Signals using Voting Mechanism on Classified Frames 基于分类帧投票机制的语音信号情感检测

2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) Pub Date : 2019-01-01 DOI: 10.1109/ICREST.2019.8644168

Adib Ashfaq A. Zamil, Sajib Hasan, Showmik MD. Jannatul Baki, Jawad MD. Adam, Isra Zaman

{"title":"Emotion Detection from Speech Signals using Voting Mechanism on Classified Frames","authors":"Adib Ashfaq A. Zamil, Sajib Hasan, Showmik MD. Jannatul Baki, Jawad MD. Adam, Isra Zaman","doi":"10.1109/ICREST.2019.8644168","DOIUrl":"https://doi.org/10.1109/ICREST.2019.8644168","url":null,"abstract":"Understanding human emotion is a complicated task for humans themselves, however, this did not stop the researchers from trying to make machines capable of understanding human emotions. Many approaches have been followed, using speech signals to detect emotions has been popular among these approaches. In this study, Mel Frequency Cepstrum Coefficient (MFCC) features were extracted from speech signals to detect the underlying emotion of the speech. Extracted features were used to classify different emotions using LMT classifier. For each frame of a speech signal, 13-dimensional feature vectors were extracted and Logistic Model Tree (LMT) models were trained using these features. For classifying an unknown speech signal, the 13-dimensional frame features are first extracted from the signal and each frame is classified using the trained model. Using a voting mechanism on the classified frames, the emotion of the speech signal is detected. Experimental results on two datasets- Berlin Database of Emotional Speech (Emo-DB) and Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) show that our approach works very well in classifying certain emotions while it struggles to discern the differences between some pairs of emotions. Among the trained models, the maximum accuracy achieved was 70% in detecting 7 different emotions. Considering the small dimension size of the feature vectors used, this approach provides an efficient solution to classifying different emotions using speech signals.","PeriodicalId":108842,"journal":{"name":"2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134407206","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: 44

Social Internet of Things (SIoT) System Model Simulation for City Buildings: Bangladesh 面向城市建筑的社会物联网(SIoT)系统模型仿真:孟加拉国

2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) Pub Date : 2019-01-01 DOI: 10.1109/ICREST.2019.8644366

Md. Samin Rahman, M. Kabir, P. P. Datta, I. Kabir

引用次数: 0

Design and Analysis of a Semi-Elliptical Ultra-Compact Nano-plasmonic Coupler 半椭圆超紧凑纳米等离子体耦合器的设计与分析

2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) Pub Date : 2019-01-01 DOI: 10.1109/ICREST.2019.8644264

Md. Saiful Islam Sumon, Mahir Tazwar, R. H. Sagor, Sakib Mahtab Khandaker

引用次数: 5

Symptom Analysis of Diabetic Retinopathy by Micro-Aneurysm Detection Using NPRTOOL 应用NPRTOOL检测糖尿病视网膜病变微动脉瘤的症状分析

2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) Pub Date : 2019-01-01 DOI: 10.1109/ICREST.2019.8644439

Tajbia Karim, Md. Salehin Riad, Rehnuma Kabir

引用次数: 9

Design and Implementation of Smart Security System for Human Safety 面向人类安全的智能安防系统设计与实现

2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) Pub Date : 2019-01-01 DOI: 10.1109/ICREST.2019.8644204

Indranee Mondal, Tasbi Binta Kibria, P. Ghosh, Fahim Zaman Noman, Md. Saniat Rahman Zishan

引用次数: 1

Analysis of Grid Integrated PV System as Home RES with Net Metering Scheme 带净计量方案的家庭可再生能源并网光伏系统分析

2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) Pub Date : 2019-01-01 DOI: 10.1109/ICREST.2019.8644098

Nazmus Saqib, Khandaker Foysal Haque, Rifat Zabin, Sayed Nahian Preonto

引用次数: 6