iosr-JECE   Volume-20 ~ Issue-2 ~ Mar. - Apr. 2025

Abstract: Analysis of electrical capacitance of carbon nanotube material with doped ceramics is based on weak interaction on controlling the densities. The comparative electrical capacitance is viewed with the change in nanotube diameter as the variance of atomic integers (m, n). The virtual calculation has been done for the diameter of metallic carbon nanotube. Theoretical concept is carried on with doping concentration of ceramics. The storage of charge on ceramics induces the conduction in nanotube material. As a result, the capacitance of doped material increases. Since carbon........

Keyword: Nanotube, ceramics, weak interaction

[1] S.Iijima, 'Helical Microbules Of Graphitic Carbon' Nature, Vol.354, Pp.56-58, 1999
[2] Ye, Zu-Guang, Handbook Of Dielectric, Piezoelectric And Ferroelectric Materials: Synthesis, Properties And Application, CRC Press, 2008.

Abstract: Vita Track is a wearable health monitoring device designed to enhance worker safety in high-risk environments. It continuously tracks heart rate (BPM), oxygen saturation (SpO2), and body temperature, providing real-time alerts to detect early signs of health risks such as fatigue, dehydration, and respiratory distress. The system integrates GPS tracking and Wi-Fi connectivity for remote monitoring, allowing supervisors to track worker health and location in real........

Keyword: Wearable Health Monitoring, Real-Time Tracking, Biomedical Sensors, GPS Tracking, Remote Monitoring.

[1]. M. Rahman, S. Alam, And A. Hasan, "Iot-Based Health Monitoring System For Workers' Safety," Journal Of Industrial Safety And
Health, Vol. 14, No. 2, Pp. 118-125, 2018.
[2]. T. Zhao, Y. Li, And Z. Wang, "Environmental Monitoring For Working Environment Using Iot," International Journal Of
Construction Safety, Vol. 22, No. 3, Pp. 215-220, 2020.
[3]. M. Barua, S. Ray, And N. Gupta, "Gps And Geofencing For Worker Safety In Construction," Journal Of Smart Construction
Technology, Vol. 11, No. 1, Pp. 42-49, 2019.
[4]. D. Patel, R. Kumar, And V. Bhatia, "Panic Buttons In Wearable Devices For Worker Emergency Alerts," Ieee Transactions On
Industrial Electronics, Vol. 68, No. 5, Pp. 3291-3298, 2021.
[5]. J. Li, Y. Zhang, And H. Liu, "Real-Time Health Feedback For Workers With Oled Displays," International Journal Of Health And
Safety Monitoring, Vol. 19, No. 4, Pp. 134-142, 2022..

Abstract: The integration of Artificial Intelligence (AI) and Machine Learning (ML) in wind energy forecasting represents a transformative approach to predicting wind behavior and optimizing wind energy systems. These advanced technologies provide a robust framework for enhancing the accuracy, reliability, and efficiency of wind energy forecasting, addressing many challenges of traditional methods. Wind energy forecasting involves predicting wind speed, direction, and power output from wind turbines over different time horizons. Accurate forecasts are critical for optimizing the.......

Keyword: Numerical Weather Prediction (NWP), Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), Long Short-Term Memory (LSTM), NOAA, NASA

[1] Wang, Qingtian, Et Al. "Artificial Intelligent Power Forecasting For Wind Farm Based On Multi-Source Data Fusion." Processes 11.5 (2023): 1429.
[2] Buwei, Wang, Et Al. "A Solar Power Prediction Using Support Vector Machines Based On Multi-Source Data Fusion." 2018 International Conference On Power System Technology (POWERCON). IEEE, 2018.
[3] Si, Zhiyuan, Et Al. "A Hybrid Photovoltaic Power Prediction Model Based On Multi-Source Data Fusion And Deep Learning." 2020 IEEE 3rd Student Conference On Electrical Machines And Systems (SCEMS). IEEE, 2020.
[4] Ma, Jiong, Et Al. "Research On Time Series Data Of Renewable Energy Output Based On Ga-Lstm Model Of Multi-Source Data Fusion." 2021 International Conference On Power System Technology (POWERCON). IEEE, 2021.
[5] An, Jianqi, Et Al. "A Multi-Source Wind Speed Fusion Method For Wind Power Prediction Based On $ K $ NN-SVR." IECON 2018-44th Annual Conference Of The IEEE Industrial Electronics Society. IEEE, 2018.

Abstract: Diseases of the heart are consistently included among the leading causes of mortality on a global scale. The electrocardiogram is one of the reliable methods for determining whether or not a patient has cardiac disease (ECG). In order to determine the health of the heart, the electrical activity of the heart is first converted into a waveform, and then this waveform is analysed. The elimination of noise in an electrocardiogram (ECG) is the focus of this work, which was conducted in MATLAB. ECG analysis is a component of this study, and it comprises of three primary phases at its core. The first step is to get the ECG signal that was recorded. As a result of the fact that the raw ECG.......

Keyword: PLI; ECG; Notch Filter; IIR Filter; MATLAB

[1] B. Chen, Y. Li, X. Cao, W. Sun And W. He, "Removal Of Power Line Interference From Ecg Signals Using Adaptive Notch Filters Of Sharp Resolution," In Ieee Access, Vol. 7, Pp. 150667-150676, 2019, Doi: 10.1109/Access.2019.2944027.
[2] T. Sharma And K. K. Sharma, "Power Line Interference Removal From Ecg Signals Using Wavelet Transform Based Component-Retrieval," 2016 International Conference On Advances In Computing, Communications And Informatics (Icacci), 2016, Pp. 95-101, Doi: 10.1109/Icacci.2016.7732031.
[3] S. Saxena, R. Jais And M. K. Hota, "Removal Of Powerline Interference From Ecg Signal Using Fir, Iir, Dwt And Nlms Adaptive Filter," 2019 International Conference On Communication And Signal Processing (Iccsp), 2019, Pp. 0012-0016,Doi: 10.1109/Iccsp.2019.8698112.
[4] Chatterjee, Shubhojeet & Thakur, Rini & Yadav, R.N. & Gupta, Lalita & Raghuvanshi, Deepak. (2020). Review Of Noise Removal Techniques In Ecg Signals. Iet Signal Processing. 14. 10.1049/Iet-Spr.2020.0104.
[5] S. A. Shakthi, V. Mk And R. Pant, "Dynamic Dispersion-Compensation For Wideband Microwave Photonic Notch Filter With High Rejection And High-Resolution," In Ieee Journal Of Selected Topics In Quantum Electronics, Vol. 27, No. 6, Pp. 1-13, Nov.-Dec. 2021, Art No. 4500313, Doi: 10.1109/Jstqe.2021.3095903.