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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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Design and Performance Analysis of Optimum Linearly Scalable Dispersion Codes for 5G MIMO...
By Sagar Sutar, Chetan More
One of the key challenges is the ability to communicate at high data rates while maintaining a low Bit Error Rate (BER) with improved diversity gain-the demands of the state-of-the...
A Resource-Adequacy-Based Reliability Analysis of Solar Panels' Performance in Two Di...
By Sorena Artin
Global energy market, which still heavily depends on fossil fuels, is too vulnerable to international tensions, which once again shows the importance of moving towards Renewable En...
Gain-Bandwidth Trade-off Reduction in an H-Shaped Dielectric Resonator Antenna Using Copl...
By Hajar Ja’afar, Rina Abdullah, Mohd Haizal Jamaluddin, Hizamel M. Hizan, Rabiatuladawiah Akhbar
Due to the simplicity of the geometry, Rectangular Dielectric Resonator Antennas (RDRAs) are widely used, and they provide more flexibility in controlling the resonant frequency by...
Beam Reconfigurable Antenna Integrated with Passive Transmissive FSS Superstrate for Beam...
By Rabiatuladawiah Akhbar, Hajar Ja’afar, Nurul Huda Abd Rahman, Nurulazlina Ramli, Mohamed Nasrun Osman, Rina Abdullah
This work presents a 360° beam reconfigurable circular patch antenna integrated with a passive transmissive Frequency Selective Surface (FSS) to enhanced beam tilt performance...
Impact of Realistic Voltage Dependent ZIP Load Modeling on Optimal Multi-PV Allocation an...
By Rachana J. Patel, Vineeta Chauhan, Jayendra Patel
In the DG integrated modern radial distribution network, for detailed analysis and optimal planning, load representation plays a crucial role. Unlike the traditional constant power...
An Independent Validation and Analysis of a High-Efficiency Bidirectional DC Converter fo...
By Yogendra Kumar Sharma, Mohd. Suhaib Kidwai, Mohammed Aslam Husain, Akhtar Saleem Ansari
The increasing adoption of electric vehicles has led to an increased demand for high-efficiency, flexible bidirectional power conversion systems capable of providing two-way energy...
Evolution of Load Frequency Control: From Classical Approaches to Intelligent & Resilient...
By Alok Kumar, Mohammad Atif Siddiqui, Mohammed Asim
Load Frequency Control (LFC) plays a vital role in keeping the frequency stable and maintaining the tie line power in interconnected power systems. With the addition of a large num...
Blockchain-Enabled AI-Driven Big Data Analytics for Secure and Scalable IoT Ecosystems
By Hema Malini G.B, Agnes Sheila S.P, Anitha S, Subalakshmi K, Jeevitha S
The rapid evolution of Internet of Things (IoT) ecosystems produces large quantities of heterogeneous data streams, resulting in major issues related to security, scalability, priv...
An Adaptive Fuzzy Based Grid Forming Inverter Integrated with Hybrid Renewable Source and...
By Pulidhindi Nagamuneendra, K.H.Phani Shree
In the modern electrical power systems, the incorporation of renewable energy sources into weak grids has led to power fluctuations, voltage instability, frequency deviations and h...
Technical Impact of Electric Vehicle Charger Integration in 10 kV Urban Distribution Netw...
By Luis Angel Jauregui Flores, Alex Yender Jihuaña Lopez, Joel Contreras Nuñez
The progressive integration of electric vehicles introduces new operational requirements in urban distribution networks, particularly when residential charging occurs under high-si...
Analysis of Edge Detectors based on Performance Evaluation Metrics
By Wazir, Rajeshwar Dass
A joint comparison of the outcomes of edge detection techniques provides a more thorough knowledge of the capabilities of the algorithms to identify image edges. Edge detection met...
Mechanical Parameter Estimation of an Induction Motor for a Digital Twin Using Coast-Down...
By Darjon Dhamo, Aida Spahiu, Denis Panxhi, Nuri Rusta
Accurate mechanical parameters are essential for developing Digital Twin (DT) models of Electric Drives (ED) that are both physically consistent and predictive across operating con...