2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)最新文献

Analysis of work characteristics based on work probe system 基于工作探测系统的工作特性分析

2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) Pub Date : 2021-11-27 DOI: 10.1109/ICECIE52348.2021.9664673

Toshimasa Aso

引用次数: 0

Wearable Wireless Multiparameter Monitoring Systems (WEMUMS) for Resource Constrained Settings 用于资源受限设置的可穿戴无线多参数监测系统(WEMUMS

2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) Pub Date : 2021-11-27 DOI: 10.1109/ICECIE52348.2021.9664663

N. Sriraam, P. R. Vittal, Uma Arun, Karthik Angadi, Arjun Halli, Priyanka Chakravarthy

{"title":"Wearable Wireless Multiparameter Monitoring Systems (WEMUMS) for Resource Constrained Settings","authors":"N. Sriraam, P. R. Vittal, Uma Arun, Karthik Angadi, Arjun Halli, Priyanka Chakravarthy","doi":"10.1109/ICECIE52348.2021.9664663","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664663","url":null,"abstract":"Continuous monitoring of physiological parameters using wearable devices have created a huge impact on the critical health care system as well as towards reducing the mortality rate. Most of the developing and under developing countries including resource constrained settings rely on the low-cost healthcare facilities without sacrificing the required clinical diagnosis. This research study suggests the development of first level prototype WEMUMS for resource constrained settings. The framework comprises of master and slave node that consists of chest based dry ECG sensors with accelerometer and wrist-based PPG sensor respectively. All the vital parameter were recorded and transmitted wirelessly to the real-time processor through a blue tooth mode, the vitals are displayed in a mobile app for assessing the patient at cardiac critical care units in the hospital. The designed WEMUMS was evaluated quantitatively using fidelity metrics and qualitatively through clinician’s visual inspection. It was observed from the initial clinical evaluation, the developed prototype still needs to be validated with more patients for clinical assessments before translation of the designed prototype for commercialization.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124371790","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

Detecting COVID-19 from Chest X-Ray Images using a Lightweight Deep Transfer Learning Model with Improved Contrast Enhancement Technique 基于改进对比度增强技术的轻量级深度迁移学习模型从胸部x射线图像中检测COVID-19

2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) Pub Date : 2021-11-27 DOI: 10.1109/ICECIE52348.2021.9664676

Dave Jammin A. Bacad, Patricia Angela R. Abu

{"title":"Detecting COVID-19 from Chest X-Ray Images using a Lightweight Deep Transfer Learning Model with Improved Contrast Enhancement Technique","authors":"Dave Jammin A. Bacad, Patricia Angela R. Abu","doi":"10.1109/ICECIE52348.2021.9664676","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664676","url":null,"abstract":"Despite the vaccinations, the emergence of new and more contagious variants of the COVID-19 disease has continued to pose threats and challenges to our lives. Until herd immunity is achieved, it is important to continuously perform screening tests to control and minimize the transmissions. Due to the reported shortcomings of the RT-PCR, the utilization of deep learning for detecting COVID-19 from Chest X-Ray (CXR) images has gathered a lot of interest from researchers. As a contribution to the field, this study proposes a deep learning pipeline that utilizes transfer learning and image enhancement techniques to classify whether a given CXR image exhibits characteristics of COVID-19 infection, pneumonia infection, or normal/healthy lungs. For a lighter approach, the small pre-trained model named EfficientNetB0 is used as the base model for the transfer learning method. To improve the network’s performance, a sequence of contrast enhancement techniques namely the Multi-Scale Retinex (MSR) and Contrast Limited Adaptive Histogram Equalization (CLAHE) is introduced in the pipeline and employed as a pre-processing step. Gathered from a 10-fold cross-validation method in a dataset with 3729 images per class, results show that the proposed approach achieves an average overall accuracy of 92.089% with 98.431% average precision, 95.119% average recall, and 96.741% average f1-score for the COVID-19 class.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114499897","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 Continuous-Time Quadrature Bandpass Sigma-Delta Modulator with Capacitive Feedforward Chip Design for Phase Locked Loop Controllers 锁相环控制器的电容前馈连续正交带通Sigma-Delta调制器设计

2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) Pub Date : 2021-11-27 DOI: 10.1109/ICECIE52348.2021.9664715

W. Lai

引用次数: 0

Machine Failure Diagnosis by Combining Software Log and Sensor Data 结合软件日志和传感器数据的机器故障诊断

2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) Pub Date : 2021-11-27 DOI: 10.1109/ICECIE52348.2021.9664675

Takako Onishi, Hisashi Kashima

引用次数: 0

The Effect of Single Tuned Filter on Coordinated Planning in Increasing Power Quality in Radial Distribution System 单调谐滤波器对协同规划提高径向配电系统电能质量的影响

2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) Pub Date : 2021-11-27 DOI: 10.1109/ICECIE52348.2021.9664706

M. D. Faraby, Anisya Sonita, Nurhayati

引用次数: 1

Harmonic Mitigation Through Enhancement Network Reconfiguration Technique on Coordinated Planning Using Hybrid Particle Swarm Optimization in Radial Distribution System 基于混合粒子群优化的径向配电网协调规划增强网络重构技术

2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) Pub Date : 2021-11-27 DOI: 10.1109/ICECIE52348.2021.9664728

M. D. Faraby, O. Penangsang, R. S. Wibowo, S. Sofyan, A. Idris, A. Asri

引用次数: 3

MW Scale Microgrid Utilizing Renewable Energy Sources for an Island Application 兆瓦级微电网利用可再生能源的岛屿应用

2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) Pub Date : 2021-11-27 DOI: 10.1109/ICECIE52348.2021.9664670

Priyanka Thareja, Mansi Agrawal, Rohan Ghai, R. Segal

引用次数: 0

Wrist Based Wireless Vital Monitoring System for Continuous Assessment of Pre-term Neonates in NICU Environment 基于腕部无线生命监测系统的新生儿重症监护病房环境下早产儿持续评估

2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) Pub Date : 2021-11-27 DOI: 10.1109/ICECIE52348.2021.9664731

N. Sriraam, S. Gupta, T. S, Pradeep Gcm

{"title":"Wrist Based Wireless Vital Monitoring System for Continuous Assessment of Pre-term Neonates in NICU Environment","authors":"N. Sriraam, S. Gupta, T. S, Pradeep Gcm","doi":"10.1109/ICECIE52348.2021.9664731","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664731","url":null,"abstract":"Continuous vital monitoring at neonatal intensive care unit (NICU)is inevitable to know the risk status of the pre-term neonates being admitted. Though various vital monitoring system are existing, there is still a huge demand towards meetings the requirements for resource constrained settings. This study suggests development of wrist based designed with medical grade plastic enclosure and an ankle based fabricated using medical grade textile and Velcro strap wireless vital monitoring system for continuous assessment of preterm neonates that can measure SPO2, heartrate and temperature. Two variant of prototype one for ankle band and another wrist based have been developed and its performance were compared with the standard portable wire-based patient monitoring system. The prototypes were tested with 123 preterm neonates over a period of 10 months after due ethical clearance. It was observed that the developed prototypes yield comparable to that of clinical standard system in terms of vital parameters and the designed prototype needs to be validated with neonates before introduction to the more clinical routine for assessment.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116722685","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

AGC of Hydro-Thermal Power Systems Using Sine Cosine Optimization Algorithm 基于正弦余弦优化算法的火电系统AGC

2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE) Pub Date : 2021-11-27 DOI: 10.1109/ICECIE52348.2021.9664699

Ahmed Oday Oleiwi, Ahmed Jasim Sultan

引用次数: 0