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Seventh Sense Research Group® (SSRG) is a registered independent organisation that delivers support and services to education professionals and researchers worldwide by publishing some international open-access journals.
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Low-Frequency Magnetic Field Mitigation Using Recyclable Sintered Pure-Iron Powder Compac...
By Viraj Barge, Nitin Satpute, Mukund Kulkarni
High-current carrying conductors, electrical machines, power-electronic systems, and sensors generate low-frequency magnetic fields that can cause electromagnetic interference and...
Coal Consumption Optimization through Performance Gap Analysis and Heat Rate Improvement...
By S.Lingamaiah, R.Ramachandra
India coal fired thermal power is still playing an important role in electricity generation in the country. To enhance plant performance, economic competitiveness and environmental...
Development and Application of Banana Fiber Reinforced Epoxy Resin Composites for Automot...
By Mbatha Abednigo Jabu, ID Ibraham, NZ Nkomo, MK Nemavhola
Composites made of synthetic fibers are difficult to recycle and are not biodegradable, which causes pollution in landfills. Interior panels are not exposed to harsh conditions, an...
Selecting an Optimal Alternative by Constructing a Regression Model for Each Option
By Dang Xuan Thao1, Nguyen Hong Son, Vo Thi Nhu Uyen, Bui Vinh Binh, Nguyen Chi Bao, Huynh Nhu Tan
Optimization for identifying the best solution is a pivotal technique that has garnered significant attention from the scientific community. It plays a decisive role in enhancing s...
Defect Detection in Rotor-Bearing-Gear Systems for Experimental Frequency-Domain Fault Di...
By Rahul Ramesh Joshi, Sanjay Hari Sawant, Ajit Ashok Katkar
Rotor bearing gear system is mostly used in rotating machinery in industries and has considerable susceptibility to defects such as wear, pitting, and failure in gears, corrosion o...
Thermal Error Prediction of a Three-Axis CNC Machine Tool using an Artificial Neural Netw...
By Nguyen Trong Minh, Dang Duc Thuan
Thermal errors are one of the major factors that affect the positioning accuracy of CNC machine tools and hence the quality of the manufactured products. Artificial Neural Networks...
Energy Management in Grid Connected Photovoltaic Systems using Neural Networks
By Romina Beltran Vizuete, Carlos Quinatoa Caiza, Antony Coello Ibañez, Jorge Villarroel Guerrero
The increasing use of photovoltaic generation and battery storage systems brings challenges in controlling the energy flow variables, in particular the reference current (𝐼𝑟𝑒𝑓). Th...
Disaster Severity Weighted GCN-LSTM Routing Framework in Underwater Sensor Networks
By Ritu Bhardwaj, Ashwani Kush
The events such as earthquakes, tsunamis and underwater landslides occur; communication reliability becomes a big challenge in Underwater Wireless Sensor Networks (UWSNs). These ev...
Sensitivity Analysis of Uniform Control Systems
By Oleg Gasparyan, Nerses Nersisyan, Haykanush Darbinyan, Ovanna Ohanyan, Mariam Darakhchyan, Vahan Manukyan, Mkrtich Harutyunyan, Davit Danielyan
This study develops a sensitivity framework tailored to uniform multivariable control systems, whose identical dynamic channels are interconnected through a constant numerical coup...
Design and HIL Validation of Van der Pol-based Virtual Oscillator Control for Two Paralle...
By Duy Thai Ha, Thanh Trung Lai, Trong Minh Tran, Hoang Phuong Vu, Viet Phuong Pham
Islanded AC microgrids with parallel inverters require coordinated voltage formation and load sharing. This study presents a Van der Pol-based virtual oscillator controller for two...
Illuminance Evaluation in Urban Roadways using UAV and IoT for Dark Zone Detection and Pu...
By Jhonny Roy Condori Cahuaya, Bryan Gomez Pacheco, Jezzy James Huaman Rojas
Conventional public lighting inspections have difficulty capturing illumination reductions in certain areas, as they only cover a specific geographical location. This study develop...
Multimodal Machine Learning for Cloud-to-Ground Lightning Classification and Polarity Loc...
By Xian Gie Cheah, Mawarni Mohamed Yunus, Mohd Riduan Ahmad, Nor Hadizah Mohd Khalid
Accurate classification and localization of Cloud-to-Ground (CG) lightning are essential for the development of reliable early warning systems in tropical regions and the improveme...